From e8a64c02154f467f13e918a820dce95d12c288e2 Mon Sep 17 00:00:00 2001 From: aho Date: Fri, 7 Oct 2022 18:32:06 +0200 Subject: [PATCH 1/6] Change s2dverification to s2dv; Subset from ClimProjDiags --- DESCRIPTION | 3 +- NAMESPACE | 15 +++-- R/CST_AdamontAnalog.R | 10 ++-- R/CST_AdamontQQCorr.R | 20 +++---- R/CST_Analogs.R | 12 ++-- R/CST_Anomaly.R | 34 ++++++----- R/CST_BiasCorrection.R | 8 +-- R/CST_Calibration.R | 2 +- R/CST_DynBiasCorrection.R | 2 +- R/CST_EnsClustering.R | 21 ++++--- R/CST_Load.R | 10 ++-- R/CST_MergeDims.R | 4 +- R/CST_MultiEOF.R | 2 +- R/CST_MultiMetric.R | 6 +- R/CST_MultivarRMSE.R | 6 +- R/CST_ProxiesAttractor.R | 2 +- R/CST_QuantileMapping.R | 12 ++-- R/CST_RFSlope.R | 2 +- R/CST_RainFARM.R | 2 +- R/CST_RegimesAssign.R | 56 +++++++++--------- R/CST_SaveExp.R | 18 +++--- R/CST_SplitDim.R | 4 +- R/CST_WeatherRegimes.R | 21 ++++--- R/PlotTriangles4Categories.R | 2 +- R/as.s2dv_cube.R | 8 +-- R/s2dv_cube.R | 2 +- R/sample_data.R | 8 +-- data/{lonlat_data.RData => lonlat_temp.RData} | Bin man/AdamontQQCorr.Rd | 4 +- man/BiasCorrection.Rd | 4 +- man/CST_AdamontAnalog.Rd | 2 +- man/CST_AdamontQQCorr.Rd | 4 +- man/CST_Analogs.Rd | 4 +- man/CST_Anomaly.Rd | 6 +- man/CST_BiasCorrection.Rd | 4 +- man/CST_EnsClustering.Rd | 19 +++--- man/CST_Load.Rd | 8 +-- man/CST_MultiEOF.Rd | 2 +- man/CST_MultiMetric.Rd | 4 +- man/CST_MultivarRMSE.Rd | 4 +- man/CST_ProxiesAttractor.Rd | 2 +- man/CST_QuantileMapping.Rd | 12 ++-- man/CST_RegimesAssign.Rd | 12 ++-- man/CST_SaveExp.Rd | 2 +- man/CST_WeatherRegimes.Rd | 4 +- man/EnsClustering.Rd | 2 +- man/MultiMetric.Rd | 2 +- man/PlotTriangles4Categories.Rd | 2 +- man/RegimesAssign.Rd | 16 ++--- man/SaveExp.Rd | 16 ++--- man/WeatherRegimes.Rd | 2 +- man/as.s2dv_cube.Rd | 6 +- man/{lonlat_data.Rd => lonlat_temp.Rd} | 10 ++-- man/s2dv_cube.Rd | 37 ++++++++---- tests/testthat/test-CST_Calibration.R | 2 +- .../test-CST_CategoricalEnsCombination.R | 2 +- tests/testthat/test-CST_MultiMetric.R | 6 +- tests/testthat/test-CST_QuantileMapping.R | 10 ++-- tests/testthat/test-CST_RegimesAssign.R | 12 ++-- tests/testthat/test-CST_SplitDim.R | 16 ++--- vignettes/Analogs_vignette.Rmd | 18 +++--- vignettes/Data_Considerations.Rmd | 6 +- vignettes/ENSclustering_vignette.Rmd | 2 +- vignettes/PlotForecastPDF.Rmd | 6 +- 64 files changed, 293 insertions(+), 269 deletions(-) rename data/{lonlat_data.RData => lonlat_temp.RData} (100%) rename man/{lonlat_data.Rd => lonlat_temp.Rd} (85%) diff --git a/DESCRIPTION b/DESCRIPTION index 454397ae..30fe88f7 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -58,7 +58,6 @@ Depends: qmap, easyVerification Imports: - s2dverification, s2dv, rainfarmr, multiApply (>= 2.1.1), @@ -86,4 +85,4 @@ VignetteBuilder: knitr License: Apache License 2.0 Encoding: UTF-8 LazyData: true -RoxygenNote: 7.0.2 +RoxygenNote: 7.2.0 diff --git a/NAMESPACE b/NAMESPACE index 26042662..73685252 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -63,6 +63,7 @@ import(qmap) import(rainfarmr) import(stats) importFrom(ClimProjDiags,SelBox) +importFrom(ClimProjDiags,Subset) importFrom(RColorBrewer,brewer.pal) importFrom(abind,abind) importFrom(data.table,CJ) @@ -99,22 +100,20 @@ importFrom(maps,map) importFrom(plyr,.) importFrom(plyr,dlply) importFrom(reshape2,melt) +importFrom(s2dv,ACC) +importFrom(s2dv,Ano_CrossValid) +importFrom(s2dv,Clim) importFrom(s2dv,ColorBar) importFrom(s2dv,Corr) +importFrom(s2dv,EOF) +importFrom(s2dv,Eno) importFrom(s2dv,InsertDim) +importFrom(s2dv,Load) importFrom(s2dv,MeanDims) importFrom(s2dv,PlotEquiMap) importFrom(s2dv,RMS) importFrom(s2dv,RMSSS) importFrom(s2dv,Reorder) -importFrom(s2dverification,ACC) -importFrom(s2dverification,Ano_CrossValid) -importFrom(s2dverification,Clim) -importFrom(s2dverification,EOF) -importFrom(s2dverification,Eno) -importFrom(s2dverification,Load) -importFrom(s2dverification,Mean1Dim) -importFrom(s2dverification,Subset) importFrom(utils,glob2rx) importFrom(utils,head) importFrom(utils,read.table) diff --git a/R/CST_AdamontAnalog.R b/R/CST_AdamontAnalog.R index 1238b3b1..4020d1c2 100644 --- a/R/CST_AdamontAnalog.R +++ b/R/CST_AdamontAnalog.R @@ -39,22 +39,22 @@ #'analog values for each value of \code{exp} input data} #'\item\code{AdamontAnalog}{an array containing nanalogs analog values}} #'@import multiApply -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #'@examples #'\dontrun{ #'wt_exp <- sample(1:3, 15*6*3, replace=T) #'dim(wt_exp) <- c(dataset=1, member=15, sdate=6, ftime=3) #'wt_obs <- sample(1:3, 6*3, replace=T) #'dim(wt_obs) <- c(dataset=1, member=1, sdate=6, ftime=3) -# analog_vals <- CST_AdamontAnalog(exp=lonlat_data$exp, obs=lonlat_data$obs, wt_exp=wt_exp, wt_obs=wt_obs, nanalogs=2) +# analog_vals <- CST_AdamontAnalog(exp=lonlat_temp$exp, obs=lonlat_temp$obs, wt_exp=wt_exp, wt_obs=wt_obs, nanalogs=2) #'} #'\dontrun{ #'wt_exp <- sample(1:3, 15*6*3, replace=T) #'dim(wt_exp) <- c(dataset=1, member=15, sdate=6, ftime=3) #'wt_obs <- sample(1:3, 6*3, replace=T) #'dim(wt_obs) <- c(dataset=1, member=1, sdate=6, ftime=3) -# analog_vals <- AdamontAnalog(exp=lonlat_data$exp$data, -#' obs=lonlat_data$obs$data, wt_exp=wt_exp, wt_obs=wt_obs, nanalogs=2) +# analog_vals <- AdamontAnalog(exp=lonlat_temp$exp$data, +#' obs=lonlat_temp$obs$data, wt_exp=wt_exp, wt_obs=wt_obs, nanalogs=2) #'} CST_AdamontAnalog <- function(exp, obs, wt_exp, wt_obs, nanalogs, @@ -115,7 +115,7 @@ CST_AdamontAnalog <- function(exp, obs, wt_exp, wt_obs, nanalogs, #'based on weather types #' #'@import multiApply -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #'@rdname CST_AdamontAnalog #'@export AdamontAnalog <- function(exp, obs, wt_exp, wt_obs, nanalogs=5, diff --git a/R/CST_AdamontQQCorr.R b/R/CST_AdamontQQCorr.R index 1d72c2a8..71a768e2 100644 --- a/R/CST_AdamontQQCorr.R +++ b/R/CST_AdamontQQCorr.R @@ -29,7 +29,7 @@ #' depending on the weather types \code{wt_exp} #' #'@import qmap -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #'@import multiApply #'@import abind #'@examples @@ -38,8 +38,8 @@ #'dim(wt_exp) <- c(dataset=1, member=15, sdate=6, ftime=3) #'wt_obs <- sample(1:3, 6*3, replace=T) #'dim(wt_obs) <- c(dataset=1, member=1, sdate=6, ftime=3) -#'exp_corr <- CST_AdamontQQCorr(exp=lonlat_data$exp, wt_exp=wt_exp, -#' obs=lonlat_data$obs, wt_obs=wt_obs, +#'exp_corr <- CST_AdamontQQCorr(exp = lonlat_temp$exp, wt_exp = wt_exp, +#' obs=lonlat_temp$obs, wt_obs = wt_obs, #' corrdims = c('dataset','member','sdate','ftime')) #'} CST_AdamontQQCorr <- function(exp, wt_exp, obs, wt_obs, @@ -136,7 +136,7 @@ CST_AdamontQQCorr <- function(exp, wt_exp, obs, wt_obs, #'the weather types \code{wt_exp} #' #'@import qmap -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #'@import multiApply #'@import abind #'@examples @@ -145,8 +145,8 @@ CST_AdamontQQCorr <- function(exp, wt_exp, obs, wt_obs, #'dim(wt_exp) <- c(dataset=1, member=15, sdate=6, ftime=3) #'wt_obs <- sample(1:3, 6*3, replace=T) #'dim(wt_obs) <- c(dataset=1, member=1, sdate=6, ftime=3) -#'exp_corr <- AdamontQQCorr(exp=lonlat_data$exp$data, wt_exp=wt_exp, -#' obs=lonlat_data$obs$data, wt_obs=wt_obs, +#'exp_corr <- AdamontQQCorr(exp=lonlat_temp$exp$data, wt_exp=wt_exp, +#' obs=lonlat_temp$obs$data, wt_obs=wt_obs, #' corrdims = c('dataset','member','sdate','ftime')) #'} AdamontQQCorr <- function(exp, wt_exp, obs, wt_obs, @@ -252,11 +252,11 @@ AdamontQQCorr <- function(exp, wt_exp, obs, wt_obs, method='RQUANT') res <- MergeDims(res,c('time','index')) ## Remove the extra NA values added previously - res <- Subset(res,along='time',indices=1:numtexp) + res <- Subset(res,along = 'time', indices = 1:numtexp) } else { ## Apply QuantileMapping to exp_corr depending on weather type - res <- QuantileMapping(exp=exp_corr,obs=obs,sample_dims='time', - samplemethod='RQUANT') + res <- QuantileMapping(exp = exp_corr, obs = obs, sample_dims = 'time', + samplemethod = 'RQUANT') } rm(exp_corr) # Save space in memory ## Reshape exp_corr data onto time dimension before 'Split' @@ -307,7 +307,7 @@ AdamontQQCorr <- function(exp, wt_exp, obs, wt_obs, #' imin_lon: array of dimensions \code{obs$lon} giving the longitude index of closest gridpoint in exp #' imin_lat: array of dimensions \code{obs$lat} giving the latitude index of closest gridpoint in exp #' -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #'@import ncdf4 #'@noRd .NearestNeighbors <- function (exp, obs, method='ADA') { diff --git a/R/CST_Analogs.R b/R/CST_Analogs.R index 1b463f4b..28e12c20 100644 --- a/R/CST_Analogs.R +++ b/R/CST_Analogs.R @@ -99,12 +99,11 @@ #'for downscaling. #'@param ncores The number of cores to use in parallel computation #'@import multiApply -#'@importFrom s2dverification Subset #'@import abind -#'@importFrom ClimProjDiags SelBox +#'@importFrom ClimProjDiags SelBox Subset #' -#'@seealso code{\link{CST_Load}}, \code{\link[s2dverification]{Load}} and -#'\code{\link[s2dverification]{CDORemap}} +#'@seealso code{\link{CST_Load}}, \code{\link[s2dv]{Load}} and +#'\code{\link[s2dv]{CDORemap}} #' #'@return An 'array' object containing the dowscaled values of the best #'analogs. @@ -301,9 +300,8 @@ CST_Analogs <- function(expL, obsL, expVar = NULL, obsVar = NULL, region = NULL, #' the best analog. #'@param ncores the number of cores to use in parallel computation. #'@import multiApply -#'@importFrom s2dverification Subset #'@import abind -#'@importFrom ClimProjDiags SelBox +#'@importFrom ClimProjDiags SelBox Subset #' #'@return AnalogsFields, dowscaled values of the best analogs for the criteria #'selected. If AnalogsInfo is set to TRUE the function also returns a @@ -782,7 +780,7 @@ Analogs <- function(expL, obsL, time_obsL, time_expL = NULL, time_ref <- time_obsL[-c(which(time_obsL %in% excludeTime))] posdim <- which(names(dim(obsL)) == 'time') posref <- which(time_obsL %in% time_ref) - obsT <- Subset(obsL,along = posdim,indices = posref) + obsT <- Subset(obsL, along = posdim, indices = posref) if (!is.null(obsVar)) { obsTVar <- Subset(obsVar, along = posdim, indices = posref) } diff --git a/R/CST_Anomaly.R b/R/CST_Anomaly.R index 52a786fb..e4410185 100644 --- a/R/CST_Anomaly.R +++ b/R/CST_Anomaly.R @@ -18,8 +18,7 @@ #' #' @return A list with two S3 objects, 'exp' and 'obs', of the class 's2dv_cube', containing experimental and date-corresponding observational anomalies, respectively. These 's2dv_cube's can be ingested by other functions in CSTools. #' -#'@importFrom s2dverification Clim Ano_CrossValid -#'@importFrom s2dv InsertDim +#'@importFrom s2dv InsertDim Clim Ano_CrossValid #' #'@examples #'# Example 1: @@ -45,11 +44,11 @@ #'anom4 <- CST_Anomaly(exp = exp, obs = obs, cross = FALSE, memb = FALSE) #'str(anom4) #' -#'anom5 <- CST_Anomaly(lonlat_data$exp) +#'anom5 <- CST_Anomaly(lonlat_temp$exp) #' -#'anom6 <- CST_Anomaly(obs = lonlat_data$obs) +#'anom6 <- CST_Anomaly(obs = lonlat_temp$obs) #' -#'@seealso \code{\link[s2dverification]{Ano_CrossValid}}, \code{\link[s2dverification]{Clim}} and \code{\link{CST_Load}} +#'@seealso \code{\link[s2dv]{Ano_CrossValid}}, \code{\link[s2dv]{Clim}} and \code{\link{CST_Load}} #' #' #'@export @@ -141,11 +140,14 @@ CST_Anomaly <- function(exp = NULL, obs = NULL, cross = FALSE, memb = TRUE, # With cross-validation if (cross) { - ano <- Ano_CrossValid(var_exp = exp$data, var_obs = obs$data, memb = memb) + ano <- Ano_CrossValid(exp = exp$data, obs = obs$data, memb = memb) + # reorder dimension back + ano$exp <- aperm(ano$exp, match(names(dim(exp$data)), names(dim(ano$exp)))) + ano$obs <- aperm(ano$obs, match(names(dim(obs$data)), names(dim(ano$obs)))) # Without cross-validation } else { - tmp <- Clim(var_exp = exp$data, var_obs = obs$data, memb = memb) + tmp <- Clim(exp = exp$data, obs = obs$data, memb = memb) if (!is.null(filter_span)) { if (is.numeric(filter_span)) { pos_dims <- names(dim(tmp$clim_exp)) @@ -173,18 +175,18 @@ CST_Anomaly <- function(exp = NULL, obs = NULL, cross = FALSE, memb = TRUE, clim_exp <- InsertDim(clim_exp, 3, dim_exp[3]) clim_obs <- InsertDim(clim_obs, 3, dim_obs[3]) ano <- NULL - ano$ano_exp <- exp$data - clim_exp - ano$ano_obs <- obs$data - clim_obs + ano$exp <- exp$data - clim_exp + ano$obs <- obs$data - clim_obs } - + # Permuting back dimensions to original order if (dim_anom != 3) { if (case_obs == 0) { - ano$ano_exp <- aperm(ano$ano_exp, perm = dimperm) + ano$exp <- aperm(ano$exp, perm = dimperm) } if (case_exp == 0) { - ano$ano_obs <- aperm(ano$ano_obs, perm = dimperm) + ano$obs <- aperm(ano$obs, perm = dimperm) } #Updating back permuted dimensions @@ -193,10 +195,10 @@ CST_Anomaly <- function(exp = NULL, obs = NULL, cross = FALSE, memb = TRUE, } # Adding dimensions names - attr(ano$ano_exp, 'dimensions') <- dimnames_data - attr(ano$ano_obs, 'dimensions') <- dimnames_data - exp$data <- ano$ano_exp - obs$data <- ano$ano_obs + attr(ano$exp, 'dimensions') <- dimnames_data + attr(ano$obs, 'dimensions') <- dimnames_data + exp$data <- ano$exp + obs$data <- ano$obs # Outputs # ~~~~~~~~~ diff --git a/R/CST_BiasCorrection.R b/R/CST_BiasCorrection.R index 263128aa..711b33e2 100644 --- a/R/CST_BiasCorrection.R +++ b/R/CST_BiasCorrection.R @@ -19,8 +19,8 @@ #'@examples #' #'# Example -#'# Creation of sample s2dverification objects. These are not complete -#'# s2dverification objects though. The Load function returns complete objects. +#'# Creation of sample s2dv objects. These are not complete s2dv objects +#'# though. The Load function returns complete objects. #'mod1 <- 1 : (1 * 3 * 4 * 5 * 6 * 7) #'dim(mod1) <- c(dataset = 1, member = 3, sdate = 4, ftime = 5, lat = 6, lon = 7) #'obs1 <- 1 : (1 * 1 * 4 * 5 * 6 * 7) @@ -95,8 +95,8 @@ CST_BiasCorrection <- function(exp, obs, exp_cor = NULL, na.rm = FALSE, #'@examples #' #'# Example -#'# Creation of sample s2dverification objects. These are not complete -#'# s2dverification objects though. The Load function returns complete objects. +#'# Creation of sample s2dv objects. These are not complete s2dv objects +#'# though. The Load function returns complete objects. #'mod1 <- 1 : (1 * 3 * 4 * 5 * 6 * 7) #'dim(mod1) <- c(dataset = 1, member = 3, sdate = 4, ftime = 5, lat = 6, lon = 7) #'obs1 <- 1 : (1 * 1 * 4 * 5 * 6 * 7) diff --git a/R/CST_Calibration.R b/R/CST_Calibration.R index 2884712a..3817a562 100644 --- a/R/CST_Calibration.R +++ b/R/CST_Calibration.R @@ -96,7 +96,7 @@ CST_Calibration <- function(exp, obs, cal.method = "mse_min", #'@importFrom s2dv InsertDim MeanDims Reorder #'@import abind #'@import multiApply -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #' #'@seealso \code{\link{CST_Load}} #' diff --git a/R/CST_DynBiasCorrection.R b/R/CST_DynBiasCorrection.R index 20c263c6..f83def23 100644 --- a/R/CST_DynBiasCorrection.R +++ b/R/CST_DynBiasCorrection.R @@ -132,7 +132,7 @@ CST_DynBiasCorrection<- function(exp, obs, method = 'QUANT', wetday=FALSE, #'performed conditioned by local dimension 'dim' or inverse of persistence 'theta' #' #'@import multiApply -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #'@import qmap #'@examples #'expL <- rnorm(1:2000) diff --git a/R/CST_EnsClustering.R b/R/CST_EnsClustering.R index 93a34d9f..6d5b4425 100644 --- a/R/CST_EnsClustering.R +++ b/R/CST_EnsClustering.R @@ -73,20 +73,19 @@ #' \code{$lon} (selected longitudes of output fields), #' \code{$lat} (selected longitudes of output fields). #' @examples -#'\donttest{ -#' exp <- lonlat_data$exp +#' exp <- lonlat_temp$exp #' # Example 1: Cluster on all start dates, members and models #' res <- CST_EnsClustering(exp, numclus = 3, #' cluster_dim = c("member", "dataset", "sdate")) #' iclus = res$cluster[2, 1, 3] #' -#' print(paste("Cluster of 2. member, 1. dataset, 3. sdate:", iclus)) -#' print(paste("Frequency (numerosity) of cluster (", iclus, ") :", res$freq[iclus])) -#' library(s2dverification) -#' PlotEquiMap(res$repr_field[iclus, , ], exp$lon, exp$lat, -#' filled.continents = FALSE, -#' toptitle = paste("Representative field of cluster", iclus)) -#' +#' #print(paste("Cluster of 2. member, 1. dataset, 3. sdate:", iclus)) +#' #print(paste("Frequency (numerosity) of cluster (", iclus, ") :", res$freq[iclus])) +#'\donttest{ +#' s2dv::PlotEquiMap(res$repr_field[iclus, , ], exp$lon, exp$lat, +#' filled.continents = FALSE, +#' toptitle = paste("Representative field of cluster", iclus)) +#'} #' # Example 2: Cluster on members retaining 4 EOFs during #' # preliminary dimensional reduction #' @@ -100,7 +99,7 @@ #' #' res <- CST_EnsClustering(exp, numclus = 3, time_percentile = 90, #' time_moment = "perc", cluster_dim = "member") -#'} +#' #'@export CST_EnsClustering <- function(exp, time_moment = "mean", numclus = NULL, lon_lim = NULL, lat_lim = NULL, @@ -163,7 +162,7 @@ CST_EnsClustering <- function(exp, time_moment = "mean", numclus = NULL, #' #' @examples #'\donttest{ -#' exp <- lonlat_data$exp +#' exp <- lonlat_temp$exp #' res <- EnsClustering(exp$data, exp$lat, exp$lon, numclus = 3, #' cluster_dim = c("member", "dataset", "sdate")) #'} diff --git a/R/CST_Load.R b/R/CST_Load.R index 65b695cd..03b8bd80 100644 --- a/R/CST_Load.R +++ b/R/CST_Load.R @@ -2,14 +2,14 @@ #' #' This function aggregates, subsets and retrieves sub-seasonal, seasonal, decadal or climate projection data from NetCDF files in a local file system or on remote OPeNDAP servers, and arranges it for easy application of the CSTools functions. #' -#' It receives any number of parameters (`...`) that are automatically forwarded to the `s2dverification::Load` function. See details in `?s2dverification::Load`. +#' It receives any number of parameters (`...`) that are automatically forwarded to the `s2dv::Load` function. See details in `?s2dv::Load`. #' #' It is recommended to use this function in combination with the `zeallot::"%<-%"` operator, to directly assing the two returned 's2dv_cube's to two separate variables, which can then be sent independently to other functions in CSTools as needed. E.g.: `c(exp, obs) <- CST_Load(...)`. #' -#' @param ... Parameters that are automatically forwarded to the `s2dverification::Load` function. See details in `?s2dverification::Load`. +#' @param ... Parameters that are automatically forwarded to the `s2dv::Load` function. See details in `?s2dv::Load`. #' @return A list with one or two S3 objects, named 'exp' and 'obs', of the class 's2dv_cube', containing experimental and date-corresponding observational data, respectively. These 's2dv_cube's can be ingested by other functions in CSTools. If the parameter `exp` in the call to `CST_Load` is set to `NULL`, then only the 'obs' component is returned, and viceversa. #' @author Nicolau Manubens, \email{nicolau.manubens@bsc.es} -#' @importFrom s2dverification Load +#' @importFrom s2dv Load #' @importFrom utils glob2rx #' @export #' @examples @@ -32,8 +32,8 @@ #' ) #' } #' \dontshow{ -#' exp <- CSTools::lonlat_data$exp -#' obs <- CSTools::lonlat_data$obs +#' exp <- CSTools::lonlat_temp$exp +#' obs <- CSTools::lonlat_temp$obs #' } CST_Load <- function(...) { exp <- Load(...) diff --git a/R/CST_MergeDims.R b/R/CST_MergeDims.R index 720448c7..3bd38a81 100644 --- a/R/CST_MergeDims.R +++ b/R/CST_MergeDims.R @@ -10,7 +10,7 @@ #'@param na.rm a logical indicating if the NA values should be removed or not. #' #'@import abind -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #'@examples #' #'data <- 1 : c(2 * 3 * 4 * 5 * 6 * 7) @@ -49,7 +49,7 @@ CST_MergeDims <- function(data, merge_dims = c('ftime', 'monthly'), rename_dim = #'@param na.rm a logical indicating if the NA values should be removed or not. #' #'@import abind -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #'@examples #' #'data <- 1 : 20 diff --git a/R/CST_MultiEOF.R b/R/CST_MultiEOF.R index 45542341..7bdf3698 100644 --- a/R/CST_MultiEOF.R +++ b/R/CST_MultiEOF.R @@ -24,7 +24,7 @@ #' \donttest{ #' library(zeallot) #' library(ClimProjDiags) -#' c(exp, obs) %<-% lonlat_data +#' c(exp, obs) %<-% lonlat_temp #' # Create three datasets (from the members) #' exp1 <- exp #' exp2 <- exp diff --git a/R/CST_MultiMetric.R b/R/CST_MultiMetric.R index 2390b490..aa4ff344 100644 --- a/R/CST_MultiMetric.R +++ b/R/CST_MultiMetric.R @@ -38,8 +38,8 @@ #'a <- CST_MultiMetric(exp = ano_exp, obs = ano_obs) #'str(a) #'\donttest{ -#'exp <- lonlat_data$exp -#'obs <- lonlat_data$obs +#'exp <- lonlat_temp$exp +#'obs <- lonlat_temp$obs #'a <- CST_MultiMetric(exp, obs, metric = 'rpss', multimodel = FALSE) #'a <- CST_MultiMetric(exp, obs, metric = 'correlation') #'a <- CST_MultiMetric(exp, obs, metric = 'rms') @@ -83,7 +83,7 @@ CST_MultiMetric <- function(exp, obs, metric = "correlation", multimodel = TRUE, #'@import stats #'@import multiApply #'@examples -#'res <- MultiMetric(lonlat_data$exp$data, lonlat_data$obs$data) +#'res <- MultiMetric(lonlat_temp$exp$data, lonlat_temp$obs$data) #'@export MultiMetric <- function(exp, obs, metric = "correlation", multimodel = TRUE, time_dim = 'ftime', memb_dim = 'member', sdate_dim = 'sdate') { diff --git a/R/CST_MultivarRMSE.R b/R/CST_MultivarRMSE.R index 70c88c09..7841a19a 100644 --- a/R/CST_MultivarRMSE.R +++ b/R/CST_MultivarRMSE.R @@ -13,8 +13,8 @@ #'@seealso \code{\link[s2dv]{RMS}} and \code{\link{CST_Load}} #'@importFrom s2dv RMS MeanDims #'@examples -#'# Creation of sample s2dverification objects. These are not complete -#'# s2dverification objects though. The Load function returns complete objects. +#'# Creation of sample s2dv objects. These are not complete s2dv objects +#'# though. The Load function returns complete objects. #'# using package zeallot is optional: #' library(zeallot) #'# Example with 2 variables @@ -72,7 +72,7 @@ CST_MultivarRMSE <- function(exp, obs, weight = NULL) { if (nvar < 2) { stop("Parameters 'exp' and 'obs' must contain at least two", - " s2dverification objects for two different variables.") + " s2dv objects for two different variables.") } for (j in 1 : nvar) { diff --git a/R/CST_ProxiesAttractor.R b/R/CST_ProxiesAttractor.R index 518968fa..3839a896 100644 --- a/R/CST_ProxiesAttractor.R +++ b/R/CST_ProxiesAttractor.R @@ -31,7 +31,7 @@ #' #'@examples #'# Example 1: Computing the attractor using simple s2dv data -#'attractor <- CST_ProxiesAttractor(data = lonlat_data$obs, quanti = 0.6) +#'attractor <- CST_ProxiesAttractor(data = lonlat_temp$obs, quanti = 0.6) #' #'@export CST_ProxiesAttractor <- function(data, quanti, ncores = NULL){ diff --git a/R/CST_QuantileMapping.R b/R/CST_QuantileMapping.R index b27cbd4c..34087867 100644 --- a/R/CST_QuantileMapping.R +++ b/R/CST_QuantileMapping.R @@ -46,8 +46,8 @@ #'class(obs) <- 's2dv_cube' #'res <- CST_QuantileMapping(exp, obs, method = 'RQUANT') #'\donttest{ -#'exp <- lonlat_data$exp -#'obs <- lonlat_data$obs +#'exp <- lonlat_temp$exp +#'obs <- lonlat_temp$obs #'res <- CST_QuantileMapping(exp, obs) #' #'exp_cor <- exp @@ -71,21 +71,21 @@ #'res <- CST_QuantileMapping(exp = exp, obs = obs, sample_dims = 'time', #' method = 'DIST') #'# Example using different lenght of members and sdates: -#'exp <- lonlat_data$exp +#'exp <- lonlat_temp$exp #'exp$data <- exp$data[,,1:4,,,] #'dim(exp$data) <- c(dataset = 1, member = 15, sdate = 4, ftime = 3, #' lat = 22, lon = 53) -#'obs <- lonlat_data$obs +#'obs <- lonlat_temp$obs #'obs$data <- obs$data[,,1:4, ,,] #'dim(obs$data) <- c(dataset = 1, member = 1, sdate = 4, ftime = 3, #' lat = 22, lon = 53) -#'exp_cor <- lonlat_data$exp +#'exp_cor <- lonlat_temp$exp #'exp_cor$data <- exp_cor$data[,1:5,5:6,,,] #'dim(exp_cor$data) <- c(dataset = 1, member = 5, sdate = 2, ftime = 3, #' lat = 22, lon = 53) #'res <- CST_QuantileMapping(exp, obs, exp_cor, #' sample_dims = c('sdate', 'ftime', 'member')) -#'exp_cor <- lonlat_data$exp +#'exp_cor <- lonlat_temp$exp #'exp_cor$data <- exp_cor$data[,,5:6,,,] #'dim(exp_cor$data) <- c(dataset = 1, member = 15, sdate = 2, ftime = 3, #' lat = 22, lon = 53) diff --git a/R/CST_RFSlope.R b/R/CST_RFSlope.R index 75982037..a8457742 100644 --- a/R/CST_RFSlope.R +++ b/R/CST_RFSlope.R @@ -77,7 +77,7 @@ CST_RFSlope <- function(data, kmin = 1, time_dim = NULL, ncores = 1) { #' minus the dimensions specified by \code{lon_dim}, \code{lat_dim} and \code{time_dim}. #' @import multiApply #' @import rainfarmr -#' @importFrom s2dverification Subset +#' @importFrom ClimProjDiags Subset #' @export #' @examples #' # Example for the 'reduced' RFSlope function diff --git a/R/CST_RainFARM.R b/R/CST_RainFARM.R index 0c94650f..62e9339e 100644 --- a/R/CST_RainFARM.R +++ b/R/CST_RainFARM.R @@ -162,7 +162,7 @@ CST_RainFARM <- function(data, weights = 1., slope = 0, nf, kmin = 1, #' The ordering of the remaining dimensions in the \code{exp} element of the input object is maintained. #' @details Wether parameter 'slope' and 'weights' presents seasonality dependency, a dimension name should match between these parameters and the input data in parameter 'data'. See example 2 below where weights and slope vary with 'sdate' dimension. #' @import multiApply -#' @importFrom s2dverification Subset +#' @importFrom ClimProjDiags Subset #' @importFrom abind abind #' @export #' @examples diff --git a/R/CST_RegimesAssign.R b/R/CST_RegimesAssign.R index 8985d335..6233ef96 100644 --- a/R/CST_RegimesAssign.R +++ b/R/CST_RegimesAssign.R @@ -7,7 +7,7 @@ #' @description This function performs the matching between a field of anomalies and a set #' of maps which will be used as a reference. The anomalies will be assigned to the reference map #' for which the minimum Eucledian distance (method=’distance’) or highest spatial correlation -#' (method=‘ACC’) is obtained. +#' (method = 'ACC') is obtained. #' #'@references Torralba, V. (2019) Seasonal climate prediction for the wind energy sector: methods and tools #' for the development of a climate service. Thesis. Available online: \url{https://eprints.ucm.es/56841/} @@ -15,8 +15,8 @@ #'@param data a 's2dv_cube' object. #'@param ref_maps a 's2dv_cube' object as the output of CST_WeatherRegimes. -#'@param method whether the matching will be performed in terms of minimum distance (default = ’distance’) or -#' the maximum spatial correlation (method = ’ACC’) between the maps. +#'@param method whether the matching will be performed in terms of minimum distance (default = 'distance') or +#' the maximum spatial correlation (method = 'ACC') between the maps. #'@param composite a logical parameter indicating if the composite maps are computed or not (default = FALSE). #'@param memb a logical value indicating whether to compute composites for separate members (default FALSE) or as unique ensemble (TRUE). #'This option is only available for when parameter 'composite' is set to TRUE and the data object has a dimension named 'member'. @@ -27,14 +27,13 @@ #' that accounts for the serial dependence of the data with the same structure as Composite.)(only when composite = 'TRUE'), #' \code{$cluster} (array with the same dimensions as data (except latitude and longitude which are removed) indicating the ref_maps to which each point is allocated.) , #' \code{$frequency} (A vector of integers (from k=1,...k n reference maps) indicating the percentage of assignations corresponding to each map.), -#'@importFrom s2dverification ACC Mean1Dim -#'@importFrom s2dv InsertDim +#'@importFrom s2dv ACC MeanDims InsertDim #'@import multiApply #'@examples #'\dontrun{ -#'regimes <- CST_WeatherRegimes(data = lonlat_data$obs, EOFs = FALSE, ncenters = 4) -#'res1 <- CST_RegimesAssign(data = lonlat_data$exp, ref_maps = regimes, composite = FALSE) -#'res2 <- CST_RegimesAssign(data = lonlat_data$exp, ref_maps = regimes, composite = TRUE) +#'regimes <- CST_WeatherRegimes(data = lonlat_temp$obs, EOFs = FALSE, ncenters = 4) +#'res1 <- CST_RegimesAssign(data = lonlat_temp$exp, ref_maps = regimes, composite = FALSE) +#'res2 <- CST_RegimesAssign(data = lonlat_temp$exp, ref_maps = regimes, composite = TRUE) #'} #'@export #' @@ -82,17 +81,17 @@ CST_RegimesAssign <- function(data, ref_maps, #' #' @description This function performs the matching between a field of anomalies and a set #' of maps which will be used as a reference. The anomalies will be assigned to the reference map -#' for which the minimum Eucledian distance (method=’distance’) or highest spatial correlation -#' (method=‘ACC’) is obtained. +#' for which the minimum Eucledian distance (method = 'distance') or highest spatial correlation +#' (method = 'ACC') is obtained. #' #'@references Torralba, V. (2019) Seasonal climate prediction for the wind energy sector: methods and tools for the development of a climate service. Thesis. Available online: \url{https://eprints.ucm.es/56841/} #' #'@param data an array containing anomalies with named dimensions: dataset, member, sdate, ftime, lat and lon. #'@param ref_maps array with 3-dimensions ('lon', 'lat', 'cluster') containing the maps/clusters that will be used as a reference for the matching. -#'@param method whether the matching will be performed in terms of minimum distance (default = ’distance’) or -#' the maximum spatial correlation (method=’ACC’) between the maps. +#'@param method whether the matching will be performed in terms of minimum distance (default = 'distance') or +#' the maximum spatial correlation (method = 'ACC') between the maps. #'@param lat a vector of latitudes corresponding to the positions provided in data and ref_maps. -#'@param composite a logical parameter indicating if the composite maps are computed or not (default=FALSE). +#'@param composite a logical parameter indicating if the composite maps are computed or not (default = FALSE). #'@param memb a logical value indicating whether to compute composites for separate members (default FALSE) or as unique ensemble (TRUE). #'This option is only available for when parameter 'composite' is set to TRUE and the data object has a dimension named 'member'. #'@param ncores the number of multicore threads to use for parallel computation. @@ -103,15 +102,14 @@ CST_RegimesAssign <- function(data, ref_maps, #' \code{$cluster} (array with the same dimensions as data (except latitude and longitude which are removed) indicating the ref_maps to which each point is allocated.) , #' \code{$frequency} (A vector of integers (from k = 1, ... k n reference maps) indicating the percentage of assignations corresponding to each map.), #' -#'@importFrom s2dverification ACC Mean1Dim Eno -#'@importFrom s2dv InsertDim +#'@importFrom s2dv ACC MeanDims Eno InsertDim #'@import multiApply #'@examples #'\dontrun{ -#'regimes <- WeatherRegime(data = lonlat_data$obs$data, lat = lonlat_data$obs$lat, +#'regimes <- WeatherRegime(data = lonlat_temp$obs$data, lat = lonlat_temp$obs$lat, #' EOFs = FALSE, ncenters = 4)$composite -#'res1 <- RegimesAssign(data = lonlat_data$exp$data, ref_maps = drop(regimes), -#' lat = lonlat_data$exp$lat, composite = FALSE) +#'res1 <- RegimesAssign(data = lonlat_temp$exp$data, ref_maps = drop(regimes), +#' lat = lonlat_temp$exp$lat, composite = FALSE) #'} #'@export @@ -183,7 +181,7 @@ RegimesAssign <- function(data, ref_maps, lat, method = "distance", composite = freqs[n] <- (length(which(index == n)) / length(index)) * 100 } - if (composite){ + if (composite) { poslon <- which(names(dim(data)) == 'lon') poslat <- which(names(dim(data)) == 'lat') postime <- which(names(dim(data)) == 'time') @@ -193,9 +191,9 @@ RegimesAssign <- function(data, ref_maps, lat, method = "distance", composite = if (any(is.na(index))) { recon <-list( composite = InsertDim(array(NA, dim = c(dim(dataComp)[-postime])), - postime, dim(ref_maps)['composite.cluster']), + postime, dim(ref_maps)['composite.cluster'], name = ''), pvalue = InsertDim(array(NA, dim = c(dim(dataComp)[-postime])), - postime, dim(ref_maps)['composite.cluster'])) + postime, dim(ref_maps)['composite.cluster'], name = '')) } else { if (memb) { dataComp <- MergeDims(dataComp, merge_dims = c('time', 'member'), rename_dim = 'time') @@ -212,7 +210,7 @@ RegimesAssign <- function(data, ref_maps, lat, method = "distance", composite = pvalue = recon$pvalue, cluster = index, frequency = freqs) - } else{ + } else { output <- list(cluster = index, frequency = freqs) @@ -221,7 +219,11 @@ RegimesAssign <- function(data, ref_maps, lat, method = "distance", composite = return(output) } -.RegimesAssign <- function(ref, target, method = 'distance', lat, composite=FALSE) { +.RegimesAssign <- function(ref, target, method = 'distance', lat, composite = FALSE) { + + # ref: c('lat', 'lon', 'cluster') + # target: c('lat', 'lon') + posdim <- which(names(dim(ref)) == 'cluster') poslat <- which(names(dim(ref)) == 'lat') poslon <- which(names(dim(ref)) == 'lon') @@ -279,9 +281,9 @@ RegimesAssign <- function(data, ref_maps, lat, method = "distance", composite = if (method == 'ACC') { corr <- rep(NA, nclust) for (i in 1:nclust) { + #NOTE: s2dv::ACC returns centralized and weighted result. corr[i] <- - ACC(InsertDim(InsertDim(InsertDim(ref[i, , ] * latWeights, 1, 1), 2, 1), 3, 1), - InsertDim(InsertDim(InsertDim(target * latWeights, 1, 1), 2, 1), 3, 1))$ACC[2] + ACC(ref[i, , ], target, lat = lat, dat_dim = NULL, avg_dim = NULL, memb_dim = NULL)$acc } assign <- which(corr == max(corr)) } @@ -317,7 +319,7 @@ Composite <- function(var, occ, lag = 0, eno = FALSE, K = NULL, fileout = NULL) } else { n_tot <- length(occ) } - mean_tot <- Mean1Dim(var, posdim = 3, narm = TRUE) + mean_tot <- MeanDims(var, dims = 3, na.rm = TRUE) stdv_tot <- apply(var, c(1, 2), sd, na.rm = TRUE) for (k in 1 : K) { @@ -337,7 +339,7 @@ Composite <- function(var, occ, lag = 0, eno = FALSE, K = NULL, fileout = NULL) composite[, , k] <- var[, , indices] warning(paste("Composite", k, "has length 1 and pvalue is NA.")) } else { - composite[, , k] <- Mean1Dim(var[, , indices], posdim = 3, narm = TRUE) + composite[, , k] <- MeanDims(var[, , indices], dims = 3, na.rm = TRUE) } stdv_k <- apply(var[, , indices], c(1, 2), sd, na.rm = TRUE) diff --git a/R/CST_SaveExp.R b/R/CST_SaveExp.R index f9290b18..a15cfaa4 100644 --- a/R/CST_SaveExp.R +++ b/R/CST_SaveExp.R @@ -24,7 +24,7 @@ #'@examples #'\dontrun{ #'library(CSTools) -#'data <- lonlat_data$exp +#'data <- lonlat_temp$exp #'destination <- "./path2/" #'CST_SaveExp(data = data, destination = destination) #'} @@ -86,19 +86,19 @@ CST_SaveExp <- function(data, destination = "./CST_Data", extra_string = NULL) { #' #'@examples #'\dontrun{ -#'data <- lonlat_data$exp$data -#'lon <- lonlat_data$exp$lon -#'lat <- lonlat_data$exp$lat +#'data <- lonlat_temp$exp$data +#'lon <- lonlat_temp$exp$lon +#'lat <- lonlat_temp$exp$lat #'Dataset <- 'XXX' #'var_name <- 'tas' #'units <- 'k' -#'startdates <- lapply(1:length(lonlat_data$exp$Datasets), +#'startdates <- lapply(1:length(lonlat_temp$exp$Datasets), #' function(x) { -#' lonlat_data$exp$Datasets[[x]]$InitializationDates[[1]]})[[1]] -#'Dates <- lonlat_data$exp$Dates$start +#' lonlat_temp$exp$Datasets[[x]]$InitializationDates[[1]]})[[1]] +#'Dates <- lonlat_temp$exp$Dates$start #'dim(Dates) <- c(time = length(Dates)/length(startdates), sdate = length(startdates)) -#'cdo_grid_name = attr(lonlat_data$exp$lon, 'cdo_grid_name') -#'projection = attr(lonlat_data$exp$lon, 'projection') +#'cdo_grid_name = attr(lonlat_temp$exp$lon, 'cdo_grid_name') +#'projection = attr(lonlat_temp$exp$lon, 'projection') #'destination = './path/' #'SaveExp(data, lon, lat, Dataset, var_name, units, startdates, Dates, #' cdo_grid_name, projection, destination) diff --git a/R/CST_SplitDim.R b/R/CST_SplitDim.R index 5e85182d..a2d93f7d 100644 --- a/R/CST_SplitDim.R +++ b/R/CST_SplitDim.R @@ -13,7 +13,7 @@ #' #'@details Parameter 'insert_ftime' has been included for the case of using daily data, requiring split the temporal dimensions by months (or similar) and the first lead time doesn't correspondt to the 1st day of the month. In this case, the insert_ftime could be used, to get a final output correctly organized. E.g.: leadtime 1 is the 2nd of November and the input time series extend to the 31st of December. When requiring split by month with \code{inset_ftime = 1}, the 'monthly' dimension of length two will indicate the month (position 1 for November and position 2 for December), dimension 'time' will be length 31. For November, the position 1 and 31 will be NAs, while from positon 2 to 30 will be filled with the data provided. This allows to select correctly days trhough time dimension. #'@import abind -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #'@examples #' #'data <- 1 : 20 @@ -108,7 +108,7 @@ CST_SplitDim <- function(data, split_dim = 'time', indices = NULL, #'@param freq a character string indicating the frequency: by 'day', 'month' and 'year' or 'monthly' (by default). 'month' identifies months between 1 and 12 independetly of the year they belong to, while 'monthly' differenciates months from different years. Parameter 'freq' can also be numeric indicating the length in which to subset the dimension. #'@param new_dim_name a character string indicating the name of the new dimension. #'@import abind -#'@importFrom s2dverification Subset +#'@importFrom ClimProjDiags Subset #'@examples #' #'data <- 1 : 20 diff --git a/R/CST_WeatherRegimes.R b/R/CST_WeatherRegimes.R index e7cc925c..c0c85c07 100644 --- a/R/CST_WeatherRegimes.R +++ b/R/CST_WeatherRegimes.R @@ -34,12 +34,12 @@ #' \code{cluster} (A matrix or vector with integers (from 1:k) indicating the cluster to which each time step is allocated.), #' \code{persistence} (Percentage of days in a month/season before a cluster is replaced for a new one (only if method=’kmeans’ has been selected.)), #' \code{frequency} (Percentage of days in a month/season belonging to each cluster (only if method=’kmeans’ has been selected).), -#'@importFrom s2dverification EOF +#'@importFrom s2dv EOF #'@import multiApply #'@examples #'\dontrun{ -#'res1 <- CST_WeatherRegimes(data = lonlat_data$obs, EOFs = FALSE, ncenters = 4) -#'res2 <- CST_WeatherRegimes(data = lonlat_data$obs, EOFs = TRUE, ncenters = 3) +#'res1 <- CST_WeatherRegimes(data = lonlat_temp$obs, EOFs = FALSE, ncenters = 4) +#'res2 <- CST_WeatherRegimes(data = lonlat_temp$obs, EOFs = TRUE, ncenters = 3) #'} #'@export #' @@ -109,11 +109,11 @@ CST_WeatherRegimes <- function(data, ncenters = NULL, #' \code{cluster} (A matrix or vector with integers (from 1:k) indicating the cluster to which each time step is allocated.), #' \code{persistence} (Percentage of days in a month/season before a cluster is replaced for a new one (only if method=’kmeans’ has been selected.)), #' \code{frequency} (Percentage of days in a month/season belonging to each cluster (only if method=’kmeans’ has been selected).), -#'@importFrom s2dverification EOF +#'@importFrom s2dv EOF #'@import multiApply #'@examples #'\dontrun{ -#'res <- WeatherRegime(data = lonlat_data$obs$data, lat = lonlat_data$obs$lat, +#'res <- WeatherRegime(data = lonlat_temp$obs$data, lat = lonlat_temp$obs$lat, #' EOFs = FALSE, ncenters = 4) #'} #'@export @@ -183,7 +183,7 @@ WeatherRegime <- function(data, ncenters = NULL, return(output) } -.WeatherRegime <- function(data, ncenters = NULL, EOFs = TRUE,neofs = 30, +.WeatherRegime <- function(data, ncenters = NULL, EOFs = TRUE, neofs = 30, varThreshold = NULL, lon = NULL, lat = NULL, method = "kmeans", iter.max=100, nstart = 30) { @@ -211,24 +211,29 @@ WeatherRegime <- function(data, ncenters = NULL, if (any(is.na(data))){ nas_test <- MergeDims(data, merge_dims = c('lat','lon'), - rename_dim = 'space',na.rm = TRUE) + rename_dim = 'space', na.rm = TRUE) if (dim(nas_test)['space']== c(nlat*nlon)){ stop("Parameter 'data' contains NAs in the 'time' dimensions.") } } - if (EOFs == TRUE) { if (is.null(varThreshold)) { + suppressWarnings({ dataPC <- EOF(data, lat = as.vector(lat), lon = as.vector(lon), + time_dim = 'time', neofs = neofs) + }) cluster_input <- dataPC$PC } else { + suppressWarnings({ dataPC <- EOF(data, lat = as.vector(lat), lon = as.vector(lon), + time_dim = 'time', neofs = neofs) + }) minPC <- head(as.numeric(which(cumsum(dataPC$var) > varThreshold)), 1) cluster_input <- dataPC$PC[, 1:minPC] diff --git a/R/PlotTriangles4Categories.R b/R/PlotTriangles4Categories.R index 9e3d995d..16abb421 100644 --- a/R/PlotTriangles4Categories.R +++ b/R/PlotTriangles4Categories.R @@ -51,7 +51,7 @@ #' to plot in. See ?Devices and the creator function of the corresponding device. #'@param figure.width a numeric value to control the width of the plot. #'@param ... The additional parameters to be passed to function ColorBar() in -#' s2dverification for color legend creation. +#' s2dv for color legend creation. #'@return A figure in popup window by default, or saved to the specified path. #' #'@author History:\cr diff --git a/R/as.s2dv_cube.R b/R/as.s2dv_cube.R index 5c656a51..ac4cb714 100644 --- a/R/as.s2dv_cube.R +++ b/R/as.s2dv_cube.R @@ -1,15 +1,15 @@ #'Conversion of 'startR_array' or 'list' objects to 's2dv_cube' #' -#'This function converts data loaded using startR package or s2dverification Load function into a 's2dv_cube' object. +#'This function converts data loaded using startR package or s2dv Load function into a 's2dv_cube' object. #' #'@author Perez-Zanon Nuria, \email{nuria.perez@bsc.es} #'@author Nicolau Manubens, \email{nicolau.manubens@bsc.es} #' -#'@param object an object of class 'startR_array' generated from function \code{Start} from startR package (version 0.1.3 from earth.bsc.es/gitlab/es/startR) or a list output from function \code{Load} from s2dverification package. +#'@param object an object of class 'startR_array' generated from function \code{Start} from startR package (version 0.1.3 from earth.bsc.es/gitlab/es/startR) or a list output from function \code{Load} from s2dv package. #' #'@return The function returns a 's2dv_cube' object to be easily used with functions \code{CST} from CSTools package. #' -#'@seealso \code{\link{s2dv_cube}}, \code{\link[s2dverification]{Load}}, \code{\link[startR]{Start}} and \code{\link{CST_Load}} +#'@seealso \code{\link{s2dv_cube}}, \code{\link[s2dv]{Load}}, \code{\link[startR]{Start}} and \code{\link{CST_Load}} #'@examples #'\dontrun{ #'library(startR) @@ -38,7 +38,7 @@ as.s2dv_cube <- function(object) { if (is.list(object)) { if (is.null(object) || (is.null(object$mod) && is.null(object$obs))) { - stop("The s2dverification::Load call did not return any data.") + stop("The s2dv::Load call did not return any data.") } obs <- object obs$mod <- NULL diff --git a/R/s2dv_cube.R b/R/s2dv_cube.R index 1a73d543..9cd83480 100644 --- a/R/s2dv_cube.R +++ b/R/s2dv_cube.R @@ -40,7 +40,7 @@ #' #'@return The function returns an object of class 's2dv_cube'. #' -#'@seealso \code{\link[s2dverification]{Load}} and \code{\link{CST_Load}} +#'@seealso \code{\link[s2dv]{Load}} and \code{\link{CST_Load}} #'@examples #'exp_original <- 1:100 #'dim(exp_original) <- c(lat = 2, time = 10, lon = 5) diff --git a/R/sample_data.R b/R/sample_data.R index 666c0143..2470f0d1 100644 --- a/R/sample_data.R +++ b/R/sample_data.R @@ -5,10 +5,10 @@ #' It is recommended to use the data set as follows: #'\preformatted{ #' require(zeallot) -#' c(exp, obs) %<-% CSTools::lonlat_data +#' c(exp, obs) %<-% CSTools::lonlat_temp #'} #' -#' The `CST_Load` call used to generate the data set in the infrastructure of the Earth Sciences Department of the Barcelona Supercomputing Center is shown next. Note that `CST_Load` internally calls `s2dverification::Load`, which would require a configuration file (not provided here) expressing the distribution of the 'system5c3s' and 'era5' NetCDF files in the file system. +#' The `CST_Load` call used to generate the data set in the infrastructure of the Earth Sciences Department of the Barcelona Supercomputing Center is shown next. Note that `CST_Load` internally calls `s2dv::Load`, which would require a configuration file (not provided here) expressing the distribution of the 'system5c3s' and 'era5' NetCDF files in the file system. #'\preformatted{ #' library(CSTools) #' require(zeallot) @@ -16,7 +16,7 @@ #' startDates <- c('20001101', '20011101', '20021101', #' '20031101', '20041101', '20051101') #' -#' lonlat_data <- +#' lonlat_temp <- #' CST_Load( #' var = 'tas', #' exp = 'system5c3s', @@ -31,7 +31,7 @@ #' ) #'} #' -#' @name lonlat_data +#' @name lonlat_temp #' @docType data #' @author Nicolau Manubens \email{nicolau.manubens@bsc.es} #' @keywords data diff --git a/data/lonlat_data.RData b/data/lonlat_temp.RData similarity index 100% rename from data/lonlat_data.RData rename to data/lonlat_temp.RData diff --git a/man/AdamontQQCorr.Rd b/man/AdamontQQCorr.Rd index ec49bad3..b6442f45 100644 --- a/man/AdamontQQCorr.Rd +++ b/man/AdamontQQCorr.Rd @@ -65,8 +65,8 @@ wt_exp <- sample(1:3, 15*6*3, replace=T) dim(wt_exp) <- c(dataset=1, member=15, sdate=6, ftime=3) wt_obs <- sample(1:3, 6*3, replace=T) dim(wt_obs) <- c(dataset=1, member=1, sdate=6, ftime=3) -exp_corr <- AdamontQQCorr(exp=lonlat_data$exp$data, wt_exp=wt_exp, - obs=lonlat_data$obs$data, wt_obs=wt_obs, +exp_corr <- AdamontQQCorr(exp=lonlat_temp$exp$data, wt_exp=wt_exp, + obs=lonlat_temp$obs$data, wt_obs=wt_obs, corrdims = c('dataset','member','sdate','ftime')) } } diff --git a/man/BiasCorrection.Rd b/man/BiasCorrection.Rd index 3f8d72ce..b4755ba7 100644 --- a/man/BiasCorrection.Rd +++ b/man/BiasCorrection.Rd @@ -38,8 +38,8 @@ This function applies the simple bias adjustment technique described in Torralba \examples{ # Example -# Creation of sample s2dverification objects. These are not complete -# s2dverification objects though. The Load function returns complete objects. +# Creation of sample s2dv objects. These are not complete s2dv objects +# though. The Load function returns complete objects. mod1 <- 1 : (1 * 3 * 4 * 5 * 6 * 7) dim(mod1) <- c(dataset = 1, member = 3, sdate = 4, ftime = 5, lat = 6, lon = 7) obs1 <- 1 : (1 * 1 * 4 * 5 * 6 * 7) diff --git a/man/CST_AdamontAnalog.Rd b/man/CST_AdamontAnalog.Rd index 91372564..889258a1 100644 --- a/man/CST_AdamontAnalog.Rd +++ b/man/CST_AdamontAnalog.Rd @@ -93,7 +93,7 @@ wt_exp <- sample(1:3, 15*6*3, replace=T) dim(wt_exp) <- c(dataset=1, member=15, sdate=6, ftime=3) wt_obs <- sample(1:3, 6*3, replace=T) dim(wt_obs) <- c(dataset=1, member=1, sdate=6, ftime=3) - obs=lonlat_data$obs$data, wt_exp=wt_exp, wt_obs=wt_obs, nanalogs=2) + obs=lonlat_temp$obs$data, wt_exp=wt_exp, wt_obs=wt_obs, nanalogs=2) } } \author{ diff --git a/man/CST_AdamontQQCorr.Rd b/man/CST_AdamontQQCorr.Rd index 967ce171..eb750644 100644 --- a/man/CST_AdamontQQCorr.Rd +++ b/man/CST_AdamontQQCorr.Rd @@ -54,8 +54,8 @@ wt_exp <- sample(1:3, 15*6*3, replace=T) dim(wt_exp) <- c(dataset=1, member=15, sdate=6, ftime=3) wt_obs <- sample(1:3, 6*3, replace=T) dim(wt_obs) <- c(dataset=1, member=1, sdate=6, ftime=3) -exp_corr <- CST_AdamontQQCorr(exp=lonlat_data$exp, wt_exp=wt_exp, - obs=lonlat_data$obs, wt_obs=wt_obs, +exp_corr <- CST_AdamontQQCorr(exp = lonlat_temp$exp, wt_exp = wt_exp, + obs=lonlat_temp$obs, wt_obs = wt_obs, corrdims = c('dataset','member','sdate','ftime')) } } diff --git a/man/CST_Analogs.Rd b/man/CST_Analogs.Rd index 3c014909..7a67b0fb 100644 --- a/man/CST_Analogs.Rd +++ b/man/CST_Analogs.Rd @@ -145,8 +145,8 @@ from surface pressure using analogues. Clim. Dyn., 41, 1419-1437. \email{pascal.yiou@lsce.ipsl.fr} } \seealso{ -code{\link{CST_Load}}, \code{\link[s2dverification]{Load}} and -\code{\link[s2dverification]{CDORemap}} +code{\link{CST_Load}}, \code{\link[s2dv]{Load}} and +\code{\link[s2dv]{CDORemap}} } \author{ M. Carmen Alvarez-Castro, \email{carmen.alvarez-castro@cmcc.it} diff --git a/man/CST_Anomaly.Rd b/man/CST_Anomaly.Rd index 11574168..06c78c89 100644 --- a/man/CST_Anomaly.Rd +++ b/man/CST_Anomaly.Rd @@ -61,13 +61,13 @@ str(anom3) anom4 <- CST_Anomaly(exp = exp, obs = obs, cross = FALSE, memb = FALSE) str(anom4) -anom5 <- CST_Anomaly(lonlat_data$exp) +anom5 <- CST_Anomaly(lonlat_temp$exp) -anom6 <- CST_Anomaly(obs = lonlat_data$obs) +anom6 <- CST_Anomaly(obs = lonlat_temp$obs) } \seealso{ -\code{\link[s2dverification]{Ano_CrossValid}}, \code{\link[s2dverification]{Clim}} and \code{\link{CST_Load}} +\code{\link[s2dv]{Ano_CrossValid}}, \code{\link[s2dv]{Clim}} and \code{\link{CST_Load}} } \author{ Perez-Zanon Nuria, \email{nuria.perez@bsc.es} diff --git a/man/CST_BiasCorrection.Rd b/man/CST_BiasCorrection.Rd index 202e7651..df4fb830 100644 --- a/man/CST_BiasCorrection.Rd +++ b/man/CST_BiasCorrection.Rd @@ -38,8 +38,8 @@ This function applies the simple bias adjustment technique described in Torralba \examples{ # Example -# Creation of sample s2dverification objects. These are not complete -# s2dverification objects though. The Load function returns complete objects. +# Creation of sample s2dv objects. These are not complete s2dv objects +# though. The Load function returns complete objects. mod1 <- 1 : (1 * 3 * 4 * 5 * 6 * 7) dim(mod1) <- c(dataset = 1, member = 3, sdate = 4, ftime = 5, lat = 6, lon = 7) obs1 <- 1 : (1 * 1 * 4 * 5 * 6 * 7) diff --git a/man/CST_EnsClustering.Rd b/man/CST_EnsClustering.Rd index a7ca4a9c..7ff82080 100644 --- a/man/CST_EnsClustering.Rd +++ b/man/CST_EnsClustering.Rd @@ -99,20 +99,19 @@ the maximum distance between a member in a cluster and the cluster centroid deviation for each cluster (i.e. how much the cluster is compact). } \examples{ -\donttest{ -exp <- lonlat_data$exp +exp <- lonlat_temp$exp # Example 1: Cluster on all start dates, members and models res <- CST_EnsClustering(exp, numclus = 3, cluster_dim = c("member", "dataset", "sdate")) iclus = res$cluster[2, 1, 3] -print(paste("Cluster of 2. member, 1. dataset, 3. sdate:", iclus)) -print(paste("Frequency (numerosity) of cluster (", iclus, ") :", res$freq[iclus])) -library(s2dverification) -PlotEquiMap(res$repr_field[iclus, , ], exp$lon, exp$lat, - filled.continents = FALSE, - toptitle = paste("Representative field of cluster", iclus)) - +#print(paste("Cluster of 2. member, 1. dataset, 3. sdate:", iclus)) +#print(paste("Frequency (numerosity) of cluster (", iclus, ") :", res$freq[iclus])) +\donttest{ +s2dv::PlotEquiMap(res$repr_field[iclus, , ], exp$lon, exp$lat, + filled.continents = FALSE, + toptitle = paste("Representative field of cluster", iclus)) +} # Example 2: Cluster on members retaining 4 EOFs during # preliminary dimensional reduction @@ -126,7 +125,7 @@ res <- CST_EnsClustering(exp, numclus = 3, variance_explained = 80, res <- CST_EnsClustering(exp, numclus = 3, time_percentile = 90, time_moment = "perc", cluster_dim = "member") -} + } \author{ Federico Fabiano - ISAC-CNR, \email{f.fabiano@isac.cnr.it} diff --git a/man/CST_Load.Rd b/man/CST_Load.Rd index bf03ba42..d580aae8 100644 --- a/man/CST_Load.Rd +++ b/man/CST_Load.Rd @@ -7,7 +7,7 @@ CST_Load(...) } \arguments{ -\item{...}{Parameters that are automatically forwarded to the `s2dverification::Load` function. See details in `?s2dverification::Load`.} +\item{...}{Parameters that are automatically forwarded to the `s2dv::Load` function. See details in `?s2dv::Load`.} } \value{ A list with one or two S3 objects, named 'exp' and 'obs', of the class 's2dv_cube', containing experimental and date-corresponding observational data, respectively. These 's2dv_cube's can be ingested by other functions in CSTools. If the parameter `exp` in the call to `CST_Load` is set to `NULL`, then only the 'obs' component is returned, and viceversa. @@ -16,7 +16,7 @@ A list with one or two S3 objects, named 'exp' and 'obs', of the class 's2dv_cub This function aggregates, subsets and retrieves sub-seasonal, seasonal, decadal or climate projection data from NetCDF files in a local file system or on remote OPeNDAP servers, and arranges it for easy application of the CSTools functions. } \details{ -It receives any number of parameters (`...`) that are automatically forwarded to the `s2dverification::Load` function. See details in `?s2dverification::Load`. +It receives any number of parameters (`...`) that are automatically forwarded to the `s2dv::Load` function. See details in `?s2dv::Load`. It is recommended to use this function in combination with the `zeallot::"%<-%"` operator, to directly assing the two returned 's2dv_cube's to two separate variables, which can then be sent independently to other functions in CSTools as needed. E.g.: `c(exp, obs) <- CST_Load(...)`. } @@ -40,8 +40,8 @@ c(exp, obs) \%<-\% ) } \dontshow{ -exp <- CSTools::lonlat_data$exp -obs <- CSTools::lonlat_data$obs +exp <- CSTools::lonlat_temp$exp +obs <- CSTools::lonlat_temp$obs } } \author{ diff --git a/man/CST_MultiEOF.Rd b/man/CST_MultiEOF.Rd index 036a6470..0621112e 100644 --- a/man/CST_MultiEOF.Rd +++ b/man/CST_MultiEOF.Rd @@ -41,7 +41,7 @@ accepting in input a list of CSTools objects. Based on Singular Value Decomposit \donttest{ library(zeallot) library(ClimProjDiags) -c(exp, obs) \%<-\% lonlat_data +c(exp, obs) \%<-\% lonlat_temp # Create three datasets (from the members) exp1 <- exp exp2 <- exp diff --git a/man/CST_MultiMetric.Rd b/man/CST_MultiMetric.Rd index 72ec3832..c748b4f0 100644 --- a/man/CST_MultiMetric.Rd +++ b/man/CST_MultiMetric.Rd @@ -51,8 +51,8 @@ c(ano_exp, ano_obs) \%<-\% CST_Anomaly(exp = exp, obs = obs, cross = TRUE, memb a <- CST_MultiMetric(exp = ano_exp, obs = ano_obs) str(a) \donttest{ -exp <- lonlat_data$exp -obs <- lonlat_data$obs +exp <- lonlat_temp$exp +obs <- lonlat_temp$obs a <- CST_MultiMetric(exp, obs, metric = 'rpss', multimodel = FALSE) a <- CST_MultiMetric(exp, obs, metric = 'correlation') a <- CST_MultiMetric(exp, obs, metric = 'rms') diff --git a/man/CST_MultivarRMSE.Rd b/man/CST_MultivarRMSE.Rd index c318c105..577c08db 100644 --- a/man/CST_MultivarRMSE.Rd +++ b/man/CST_MultivarRMSE.Rd @@ -20,8 +20,8 @@ an object of class \code{s2dv_cube} containing the RMSE in the element \code{$da This function calculates the RMSE from multiple variables, as the mean of each variable's RMSE scaled by its observed standard deviation. Variables can be weighted based on their relative importance (defined by the user). } \examples{ -# Creation of sample s2dverification objects. These are not complete -# s2dverification objects though. The Load function returns complete objects. +# Creation of sample s2dv objects. These are not complete s2dv objects +# though. The Load function returns complete objects. # using package zeallot is optional: library(zeallot) # Example with 2 variables diff --git a/man/CST_ProxiesAttractor.Rd b/man/CST_ProxiesAttractor.Rd index ecf9b9da..ddf7df27 100644 --- a/man/CST_ProxiesAttractor.Rd +++ b/man/CST_ProxiesAttractor.Rd @@ -28,7 +28,7 @@ Funtion based on the matlab code (davide.faranda@lsce.ipsl.fr) used in } \examples{ # Example 1: Computing the attractor using simple s2dv data -attractor <- CST_ProxiesAttractor(data = lonlat_data$obs, quanti = 0.6) +attractor <- CST_ProxiesAttractor(data = lonlat_temp$obs, quanti = 0.6) } \references{ diff --git a/man/CST_QuantileMapping.Rd b/man/CST_QuantileMapping.Rd index ec5fc8a3..cf8b66c2 100644 --- a/man/CST_QuantileMapping.Rd +++ b/man/CST_QuantileMapping.Rd @@ -67,8 +67,8 @@ obs <- list(data = obs) class(obs) <- 's2dv_cube' res <- CST_QuantileMapping(exp, obs, method = 'RQUANT') \donttest{ -exp <- lonlat_data$exp -obs <- lonlat_data$obs +exp <- lonlat_temp$exp +obs <- lonlat_temp$obs res <- CST_QuantileMapping(exp, obs) exp_cor <- exp @@ -92,21 +92,21 @@ class(obs) <- 's2dv_cube' res <- CST_QuantileMapping(exp = exp, obs = obs, sample_dims = 'time', method = 'DIST') # Example using different lenght of members and sdates: -exp <- lonlat_data$exp +exp <- lonlat_temp$exp exp$data <- exp$data[,,1:4,,,] dim(exp$data) <- c(dataset = 1, member = 15, sdate = 4, ftime = 3, lat = 22, lon = 53) -obs <- lonlat_data$obs +obs <- lonlat_temp$obs obs$data <- obs$data[,,1:4, ,,] dim(obs$data) <- c(dataset = 1, member = 1, sdate = 4, ftime = 3, lat = 22, lon = 53) -exp_cor <- lonlat_data$exp +exp_cor <- lonlat_temp$exp exp_cor$data <- exp_cor$data[,1:5,5:6,,,] dim(exp_cor$data) <- c(dataset = 1, member = 5, sdate = 2, ftime = 3, lat = 22, lon = 53) res <- CST_QuantileMapping(exp, obs, exp_cor, sample_dims = c('sdate', 'ftime', 'member')) -exp_cor <- lonlat_data$exp +exp_cor <- lonlat_temp$exp exp_cor$data <- exp_cor$data[,,5:6,,,] dim(exp_cor$data) <- c(dataset = 1, member = 15, sdate = 2, ftime = 3, lat = 22, lon = 53) diff --git a/man/CST_RegimesAssign.Rd b/man/CST_RegimesAssign.Rd index 43df97c4..82d06e0b 100644 --- a/man/CST_RegimesAssign.Rd +++ b/man/CST_RegimesAssign.Rd @@ -19,8 +19,8 @@ CST_RegimesAssign( \item{ref_maps}{a 's2dv_cube' object as the output of CST_WeatherRegimes.} -\item{method}{whether the matching will be performed in terms of minimum distance (default = ’distance’) or -the maximum spatial correlation (method = ’ACC’) between the maps.} +\item{method}{whether the matching will be performed in terms of minimum distance (default = 'distance') or +the maximum spatial correlation (method = 'ACC') between the maps.} \item{composite}{a logical parameter indicating if the composite maps are computed or not (default = FALSE).} @@ -40,13 +40,13 @@ A list with two elements \code{$data} (a 's2dv_cube' object containing the compo This function performs the matching between a field of anomalies and a set of maps which will be used as a reference. The anomalies will be assigned to the reference map for which the minimum Eucledian distance (method=’distance’) or highest spatial correlation -(method=‘ACC’) is obtained. +(method = 'ACC') is obtained. } \examples{ \dontrun{ -regimes <- CST_WeatherRegimes(data = lonlat_data$obs, EOFs = FALSE, ncenters = 4) -res1 <- CST_RegimesAssign(data = lonlat_data$exp, ref_maps = regimes, composite = FALSE) -res2 <- CST_RegimesAssign(data = lonlat_data$exp, ref_maps = regimes, composite = TRUE) +regimes <- CST_WeatherRegimes(data = lonlat_temp$obs, EOFs = FALSE, ncenters = 4) +res1 <- CST_RegimesAssign(data = lonlat_temp$exp, ref_maps = regimes, composite = FALSE) +res2 <- CST_RegimesAssign(data = lonlat_temp$exp, ref_maps = regimes, composite = TRUE) } } \references{ diff --git a/man/CST_SaveExp.Rd b/man/CST_SaveExp.Rd index 92c97282..787d1bd7 100644 --- a/man/CST_SaveExp.Rd +++ b/man/CST_SaveExp.Rd @@ -26,7 +26,7 @@ This function allows to divide and save a object of class \examples{ \dontrun{ library(CSTools) -data <- lonlat_data$exp +data <- lonlat_temp$exp destination <- "./path2/" CST_SaveExp(data = data, destination = destination) } diff --git a/man/CST_WeatherRegimes.Rd b/man/CST_WeatherRegimes.Rd index a243a76a..64b24eec 100644 --- a/man/CST_WeatherRegimes.Rd +++ b/man/CST_WeatherRegimes.Rd @@ -55,8 +55,8 @@ included in the hclust (stats package). } \examples{ \dontrun{ -res1 <- CST_WeatherRegimes(data = lonlat_data$obs, EOFs = FALSE, ncenters = 4) -res2 <- CST_WeatherRegimes(data = lonlat_data$obs, EOFs = TRUE, ncenters = 3) +res1 <- CST_WeatherRegimes(data = lonlat_temp$obs, EOFs = FALSE, ncenters = 4) +res2 <- CST_WeatherRegimes(data = lonlat_temp$obs, EOFs = TRUE, ncenters = 3) } } \references{ diff --git a/man/EnsClustering.Rd b/man/EnsClustering.Rd index 510fc168..e9409932 100644 --- a/man/EnsClustering.Rd +++ b/man/EnsClustering.Rd @@ -68,7 +68,7 @@ The clustering is performed in a reduced EOF space. } \examples{ \donttest{ -exp <- lonlat_data$exp +exp <- lonlat_temp$exp res <- EnsClustering(exp$data, exp$lat, exp$lon, numclus = 3, cluster_dim = c("member", "dataset", "sdate")) } diff --git a/man/MultiMetric.Rd b/man/MultiMetric.Rd index 10a4c33f..8a05677a 100644 --- a/man/MultiMetric.Rd +++ b/man/MultiMetric.Rd @@ -36,7 +36,7 @@ a list of arrays containing the statistics of the selected metric in the element This function calculates correlation (Anomaly Correlation Coefficient; ACC), root mean square error (RMS) and the root mean square error skill score (RMSSS) of individual anomaly models and multi-models mean (if desired) with the observations on arrays with named dimensions. } \examples{ -res <- MultiMetric(lonlat_data$exp$data, lonlat_data$obs$data) +res <- MultiMetric(lonlat_temp$exp$data, lonlat_temp$obs$data) } \references{ Mishra, N., Prodhomme, C., & Guemas, V. (n.d.). Multi-Model Skill Assessment of Seasonal Temperature and Precipitation Forecasts over Europe, 29-31.\url{https://link.springer.com/10.1007/s00382-018-4404-z} diff --git a/man/PlotTriangles4Categories.Rd b/man/PlotTriangles4Categories.Rd index abd3085e..7329553c 100644 --- a/man/PlotTriangles4Categories.Rd +++ b/man/PlotTriangles4Categories.Rd @@ -103,7 +103,7 @@ to plot in. See ?Devices and the creator function of the corresponding device.} \item{figure.width}{a numeric value to control the width of the plot.} \item{...}{The additional parameters to be passed to function ColorBar() in -s2dverification for color legend creation.} +s2dv for color legend creation.} } \value{ A figure in popup window by default, or saved to the specified path. diff --git a/man/RegimesAssign.Rd b/man/RegimesAssign.Rd index c145e8ef..f66cfed1 100644 --- a/man/RegimesAssign.Rd +++ b/man/RegimesAssign.Rd @@ -22,10 +22,10 @@ RegimesAssign( \item{lat}{a vector of latitudes corresponding to the positions provided in data and ref_maps.} -\item{method}{whether the matching will be performed in terms of minimum distance (default = ’distance’) or -the maximum spatial correlation (method=’ACC’) between the maps.} +\item{method}{whether the matching will be performed in terms of minimum distance (default = 'distance') or +the maximum spatial correlation (method = 'ACC') between the maps.} -\item{composite}{a logical parameter indicating if the composite maps are computed or not (default=FALSE).} +\item{composite}{a logical parameter indicating if the composite maps are computed or not (default = FALSE).} \item{memb}{a logical value indicating whether to compute composites for separate members (default FALSE) or as unique ensemble (TRUE). This option is only available for when parameter 'composite' is set to TRUE and the data object has a dimension named 'member'.} @@ -42,15 +42,15 @@ A list with elements \code{$composite} (3-d array (lon, lat, k) containing the c \description{ This function performs the matching between a field of anomalies and a set of maps which will be used as a reference. The anomalies will be assigned to the reference map -for which the minimum Eucledian distance (method=’distance’) or highest spatial correlation -(method=‘ACC’) is obtained. +for which the minimum Eucledian distance (method = 'distance') or highest spatial correlation +(method = 'ACC') is obtained. } \examples{ \dontrun{ -regimes <- WeatherRegime(data = lonlat_data$obs$data, lat = lonlat_data$obs$lat, +regimes <- WeatherRegime(data = lonlat_temp$obs$data, lat = lonlat_temp$obs$lat, EOFs = FALSE, ncenters = 4)$composite -res1 <- RegimesAssign(data = lonlat_data$exp$data, ref_maps = drop(regimes), - lat = lonlat_data$exp$lat, composite = FALSE) +res1 <- RegimesAssign(data = lonlat_temp$exp$data, ref_maps = drop(regimes), + lat = lonlat_temp$exp$lat, composite = FALSE) } } \references{ diff --git a/man/SaveExp.Rd b/man/SaveExp.Rd index 345974b2..f1ace22c 100644 --- a/man/SaveExp.Rd +++ b/man/SaveExp.Rd @@ -53,19 +53,19 @@ This function is created for compatibility with CST_Load/Load for saving post-pr } \examples{ \dontrun{ -data <- lonlat_data$exp$data -lon <- lonlat_data$exp$lon -lat <- lonlat_data$exp$lat +data <- lonlat_temp$exp$data +lon <- lonlat_temp$exp$lon +lat <- lonlat_temp$exp$lat Dataset <- 'XXX' var_name <- 'tas' units <- 'k' -startdates <- lapply(1:length(lonlat_data$exp$Datasets), +startdates <- lapply(1:length(lonlat_temp$exp$Datasets), function(x) { - lonlat_data$exp$Datasets[[x]]$InitializationDates[[1]]})[[1]] -Dates <- lonlat_data$exp$Dates$start + lonlat_temp$exp$Datasets[[x]]$InitializationDates[[1]]})[[1]] +Dates <- lonlat_temp$exp$Dates$start dim(Dates) <- c(time = length(Dates)/length(startdates), sdate = length(startdates)) -cdo_grid_name = attr(lonlat_data$exp$lon, 'cdo_grid_name') -projection = attr(lonlat_data$exp$lon, 'projection') +cdo_grid_name = attr(lonlat_temp$exp$lon, 'cdo_grid_name') +projection = attr(lonlat_temp$exp$lon, 'projection') destination = './path/' SaveExp(data, lon, lat, Dataset, var_name, units, startdates, Dates, cdo_grid_name, projection, destination) diff --git a/man/WeatherRegimes.Rd b/man/WeatherRegimes.Rd index 3f77841e..2f59b191 100644 --- a/man/WeatherRegimes.Rd +++ b/man/WeatherRegimes.Rd @@ -62,7 +62,7 @@ included in the hclust (stats package). } \examples{ \dontrun{ -res <- WeatherRegime(data = lonlat_data$obs$data, lat = lonlat_data$obs$lat, +res <- WeatherRegime(data = lonlat_temp$obs$data, lat = lonlat_temp$obs$lat, EOFs = FALSE, ncenters = 4) } } diff --git a/man/as.s2dv_cube.Rd b/man/as.s2dv_cube.Rd index c2b8f3a8..23a761e6 100644 --- a/man/as.s2dv_cube.Rd +++ b/man/as.s2dv_cube.Rd @@ -7,13 +7,13 @@ as.s2dv_cube(object) } \arguments{ -\item{object}{an object of class 'startR_array' generated from function \code{Start} from startR package (version 0.1.3 from earth.bsc.es/gitlab/es/startR) or a list output from function \code{Load} from s2dverification package.} +\item{object}{an object of class 'startR_array' generated from function \code{Start} from startR package (version 0.1.3 from earth.bsc.es/gitlab/es/startR) or a list output from function \code{Load} from s2dv package.} } \value{ The function returns a 's2dv_cube' object to be easily used with functions \code{CST} from CSTools package. } \description{ -This function converts data loaded using startR package or s2dverification Load function into a 's2dv_cube' object. +This function converts data loaded using startR package or s2dv Load function into a 's2dv_cube' object. } \examples{ \dontrun{ @@ -41,7 +41,7 @@ class(data) } } \seealso{ -\code{\link{s2dv_cube}}, \code{\link[s2dverification]{Load}}, \code{\link[startR]{Start}} and \code{\link{CST_Load}} +\code{\link{s2dv_cube}}, \code{\link[s2dv]{Load}}, \code{\link[startR]{Start}} and \code{\link{CST_Load}} } \author{ Perez-Zanon Nuria, \email{nuria.perez@bsc.es} diff --git a/man/lonlat_data.Rd b/man/lonlat_temp.Rd similarity index 85% rename from man/lonlat_data.Rd rename to man/lonlat_temp.Rd index 0c6ee30f..70361179 100644 --- a/man/lonlat_data.Rd +++ b/man/lonlat_temp.Rd @@ -1,8 +1,8 @@ % Generated by roxygen2: do not edit by hand % Please edit documentation in R/sample_data.R \docType{data} -\name{lonlat_data} -\alias{lonlat_data} +\name{lonlat_temp} +\alias{lonlat_temp} \title{Sample Of Experimental And Observational Climate Data In Function Of Longitudes And Latitudes} \description{ This sample data set contains gridded seasonal forecast and corresponding observational data from the Copernicus Climate Change ECMWF-System 5 forecast system, and from the Copernicus Climate Change ERA-5 reconstruction. Specifically, for the 'tas' (2-meter temperature) variable, for the 15 first forecast ensemble members, monthly averaged, for the 3 first forecast time steps (lead months 1 to 4) of the November start dates of 2000 to 2005, for the Mediterranean region (27N-48N, 12W-40E). The data was generated on (or interpolated onto, for the reconstruction) a rectangular regular grid of size 360 by 181. @@ -11,10 +11,10 @@ This sample data set contains gridded seasonal forecast and corresponding observ It is recommended to use the data set as follows: \preformatted{ require(zeallot) -c(exp, obs) %<-% CSTools::lonlat_data +c(exp, obs) %<-% CSTools::lonlat_temp } -The `CST_Load` call used to generate the data set in the infrastructure of the Earth Sciences Department of the Barcelona Supercomputing Center is shown next. Note that `CST_Load` internally calls `s2dverification::Load`, which would require a configuration file (not provided here) expressing the distribution of the 'system5c3s' and 'era5' NetCDF files in the file system. +The `CST_Load` call used to generate the data set in the infrastructure of the Earth Sciences Department of the Barcelona Supercomputing Center is shown next. Note that `CST_Load` internally calls `s2dv::Load`, which would require a configuration file (not provided here) expressing the distribution of the 'system5c3s' and 'era5' NetCDF files in the file system. \preformatted{ library(CSTools) require(zeallot) @@ -22,7 +22,7 @@ require(zeallot) startDates <- c('20001101', '20011101', '20021101', '20031101', '20041101', '20051101') -lonlat_data <- +lonlat_temp <- CST_Load( var = 'tas', exp = 'system5c3s', diff --git a/man/s2dv_cube.Rd b/man/s2dv_cube.Rd index 8ac06d78..327f3d17 100644 --- a/man/s2dv_cube.Rd +++ b/man/s2dv_cube.Rd @@ -17,23 +17,40 @@ s2dv_cube( ) } \arguments{ -\item{data}{an array with any number of named dimensions, typically an object output from CST_Load, with the following dimensions: dataset, member, sdate, ftime, lat and lon.} +\item{data}{an array with any number of named dimensions, typically an object +output from CST_Load, with the following dimensions: dataset, member, sdate, +ftime, lat and lon.} -\item{lon}{an array with one dimension containing the longitudes and attributes: dim, cdo_grid_name, data_across_gw, array_across_gw, first_lon, last_lon and projection.} +\item{lon}{an array with one dimension containing the longitudes and +attributes: dim, cdo_grid_name, data_across_gw, array_across_gw, first_lon, +last_lon and projection.} -\item{lat}{an array with one dimension containing the latitudes and attributes: dim, cdo_grid_name, first_lat, last_lat and projection.} +\item{lat}{an array with one dimension containing the latitudes and +attributes: dim, cdo_grid_name, first_lat, last_lat and projection.} -\item{Variable}{a list of two elements: \code{varName} a character string indicating the abbreviation of a variable name and \code{level} a character string indicating the level (e.g., "2m"), if it is not required it could be set as NULL.} +\item{Variable}{a list of two elements: \code{varName} a character string +indicating the abbreviation of a variable name and \code{level} a character +string indicating the level (e.g., "2m"), if it is not required it could be +set as NULL.} -\item{Datasets}{a named list with the dataset model with two elements: \code{InitiatlizationDates}, containing a list of the start dates for each member named with the names of each member, and \code{Members} containing a vector with the member names (e.g., "Member_1")} +\item{Datasets}{a named list with the dataset model with two elements: +\code{InitiatlizationDates}, containing a list of the start dates for each +member named with the names of each member, and \code{Members} containing a +vector with the member names (e.g., "Member_1")} -\item{Dates}{a named list of one to two elements: The first element, \code{start}, is an array of dimensions (sdate, time) with the POSIX initial date of each forecast time of each starting date. The second element, \code{end} (optional), is an array of dimensions (sdate, time) with the POSIX final date of each forecast time of each starting date.} +\item{Dates}{a named list of one to two elements: The first element, +\code{start}, is an array of dimensions (sdate, time) with the POSIX initial +date of each forecast time of each starting date. The second element, +\code{end} (optional), is an array of dimensions (sdate, time) with the POSIX} -\item{time_dims}{a vector of strings containing the names of the temporal dimensions found in \code{data}.} +\item{time_dims}{a vector of strings containing the names of the temporal +dimensions found in \code{data}.} -\item{when}{a time stamp of the date issued by the Load() call to obtain the data.} +\item{when}{a time stamp of the date issued by the Load() call to obtain the +data.} -\item{source_files}{a vector of character strings with complete paths to all the found files involved in the Load() call.} +\item{source_files}{a vector of character strings with complete paths to all +the found files involved in the Load() call.} } \value{ The function returns an object of class 's2dv_cube'. @@ -93,7 +110,7 @@ exp8 <- s2dv_cube(data = exp_original, lon = seq(-10, 10, 5), lat = c(45, 50), class(exp8) } \seealso{ -\code{\link[s2dverification]{Load}} and \code{\link{CST_Load}} +\code{\link[s2dv]{Load}} and \code{\link{CST_Load}} } \author{ Perez-Zanon Nuria, \email{nuria.perez@bsc.es} diff --git a/tests/testthat/test-CST_Calibration.R b/tests/testthat/test-CST_Calibration.R index f169e2e3..e832a539 100644 --- a/tests/testthat/test-CST_Calibration.R +++ b/tests/testthat/test-CST_Calibration.R @@ -9,7 +9,7 @@ test_that("Sanity checks", { c("argument \"exp\" is missing, with no default") ) library(zeallot) - c(exp, obs) %<-% lonlat_data + c(exp, obs) %<-% lonlat_temp cal <- CST_Calibration(exp = exp, obs = obs) expect_equal(length(cal), 9) expect_equal(as.numeric(dim(cal$data)), as.numeric(dim(exp$data))) diff --git a/tests/testthat/test-CST_CategoricalEnsCombination.R b/tests/testthat/test-CST_CategoricalEnsCombination.R index b87f399c..1e366bf3 100644 --- a/tests/testthat/test-CST_CategoricalEnsCombination.R +++ b/tests/testthat/test-CST_CategoricalEnsCombination.R @@ -9,7 +9,7 @@ test_that("Sanity checks", { c("argument \"exp\" is missing, with no default") ) library(zeallot) - c(exp, obs) %<-% lonlat_data + c(exp, obs) %<-% lonlat_temp cal <- CST_CategoricalEnsCombination(exp = exp, obs = obs) expect_equal(length(cal), 9) expect_equal(as.numeric(dim(cal$data)[c(1, 2)]), c(1, 1)) diff --git a/tests/testthat/test-CST_MultiMetric.R b/tests/testthat/test-CST_MultiMetric.R index 9d048ab3..69140585 100644 --- a/tests/testthat/test-CST_MultiMetric.R +++ b/tests/testthat/test-CST_MultiMetric.R @@ -78,11 +78,11 @@ test_that("Sanity checks", { multimodel = NULL), "Parameter 'multimodel' must be a logical value.") expect_error( - MultiMetric(exp = lonlat_data$exp, obs = lonlat_data$obs, metric = "rpss", + MultiMetric(exp = lonlat_temp$exp, obs = lonlat_temp$obs, metric = "rpss", multimodel = TRUE), "Element 'data' from parameters 'exp' and 'obs' should have dimmension names.") -exp <- lonlat_data$exp$data[1,,,,,] -obs <- lonlat_data$obs$data[1,,,,,] +exp <- lonlat_temp$exp$data[1,,,,,] +obs <- lonlat_temp$obs$data[1,,,,,] expect_error( MultiMetric(exp = exp, obs = obs, metric = "rpss", multimodel = TRUE), diff --git a/tests/testthat/test-CST_QuantileMapping.R b/tests/testthat/test-CST_QuantileMapping.R index f8482967..c3570f33 100644 --- a/tests/testthat/test-CST_QuantileMapping.R +++ b/tests/testthat/test-CST_QuantileMapping.R @@ -89,20 +89,20 @@ test_that("Sanity checks", { expect_equal(CST_QuantileMapping(exp = exp, obs = obs, sample_dims = 'time', method = 'SSPLIN'), exp) library(CSTools) - expect_error(CST_QuantileMapping(exp = lonlat_data$exp, obs = lonlat_data$obs, - exp_cor = lonlat_data$exp), + expect_error(CST_QuantileMapping(exp = lonlat_temp$exp, obs = lonlat_temp$obs, + exp_cor = lonlat_temp$exp), paste0("Review parameter 'sample_dims' or the data dimensions ", "since multiple dimensions with different length have being ", "found in the data inputs that don't match with 'sample_dims' parameter.")) - exp <- lonlat_data$exp + exp <- lonlat_temp$exp exp$data <- exp$data[,,1:4,,,] dim(exp$data) <- c(dataset = 1, member = 15, sdate = 4, ftime = 3, lat = 22, lon = 53) - obs <- lonlat_data$obs + obs <- lonlat_temp$obs obs$data <- obs$data[,,1:4, ,,] dim(obs$data) <- c(dataset = 1, member = 1, sdate = 4, ftime = 3, lat = 22, lon = 53) - exp_cor <- lonlat_data$exp + exp_cor <- lonlat_temp$exp exp_cor$data <- exp_cor$data[,,5:6,,,] dim(exp_cor$data) <- c(dataset = 1, member = 15, sdate = 2, ftime = 3, lat = 22, lon = 53) diff --git a/tests/testthat/test-CST_RegimesAssign.R b/tests/testthat/test-CST_RegimesAssign.R index 09dad48f..b822f759 100644 --- a/tests/testthat/test-CST_RegimesAssign.R +++ b/tests/testthat/test-CST_RegimesAssign.R @@ -68,16 +68,18 @@ test_that("Sanity checks", { c('cluster', 'frequency')) expect_equal(names( + suppressWarnings( CST_RegimesAssign( data = data1, ref_maps = regimes, - composite = TRUE)$statistics), c('pvalue', 'cluster', 'frequency')) + composite = TRUE))$statistics), c('pvalue', 'cluster', 'frequency')) expect_equal(names(dim( + suppressWarnings( CST_RegimesAssign( data = data1, ref_maps = regimes, - composite = TRUE)$data)), c('lon', 'lat', 'composite.cluster')) + composite = TRUE))$data)), c('lon', 'lat', 'composite.cluster')) data1 <- 1: 160 dim(data1) <- c(lat = 5, lon=2, time=2, member=8) @@ -85,16 +87,18 @@ test_that("Sanity checks", { class(data1) <- 's2dv_cube' expect_equal(names(dim( + suppressWarnings( CST_RegimesAssign( data = data1, ref_maps = regimes, - composite = TRUE)$data)), c('lon', 'lat', 'composite.cluster', 'member')) + composite = TRUE))$data)), c('lon', 'lat', 'composite.cluster', 'member')) expect_equal(names(dim( + suppressWarnings( CST_RegimesAssign( data = data1, ref_maps = regimes, - composite = TRUE)$statistics$cluster)), c('time', 'member')) + composite = TRUE))$statistics$cluster)), c('time', 'member')) regimes <- 1:60 dim(regimes) <- c(lat = 5, lon=2, cluster=6) diff --git a/tests/testthat/test-CST_SplitDim.R b/tests/testthat/test-CST_SplitDim.R index d595b76f..59f88597 100644 --- a/tests/testthat/test-CST_SplitDim.R +++ b/tests/testthat/test-CST_SplitDim.R @@ -63,29 +63,29 @@ result$data <- output library(CSTools) expect_error( - CST_SplitDim(data = lonlat_data$exp), + CST_SplitDim(data = lonlat_temp$exp), "Parameter 'split_dims' must be one of the dimension names in parameter 'data'.") - output <- lonlat_data$exp$data + output <- lonlat_temp$exp$data output <- abind(output[, , , 1, ,], output[, , , 2, ,], output[, , , 3, ,], along = 5) dim(output) <- c(dataset = 1, member = 15, sdate = 6, ftime = 1, lat = 22, lon = 53, monthly = 3) - result <- lonlat_data$exp + result <- lonlat_temp$exp result$data <- output - expect_equal(CST_SplitDim(data = lonlat_data$exp, split_dim = 'ftime'), + expect_equal(CST_SplitDim(data = lonlat_temp$exp, split_dim = 'ftime'), result) - expect_equal(dim(CST_SplitDim(data = lonlat_data$exp, split_dim = 'member', + expect_equal(dim(CST_SplitDim(data = lonlat_temp$exp, split_dim = 'member', freq = 5)$data), c(dataset = 1, member = 5, sdate = 6, ftime = 3, lat = 22, lon = 53, index = 3)) - expect_warning(CST_SplitDim(data = lonlat_data$exp, split_dim = 'member', + expect_warning(CST_SplitDim(data = lonlat_temp$exp, split_dim = 'member', freq = 5, new_dim_name = c('a', 'b')), paste0("Parameter 'new_dim_name' has length greater than 1 ", "and only the first elemenst is used.")) - expect_error(CST_SplitDim(data = lonlat_data$exp, split_dim = 'member', + expect_error(CST_SplitDim(data = lonlat_temp$exp, split_dim = 'member', freq = 5, new_dim_name = 3), "Parameter 'new_dim_name' must be character string") - expect_equal(dim(CST_SplitDim(data = lonlat_data$exp, split_dim = 'member', + expect_equal(dim(CST_SplitDim(data = lonlat_temp$exp, split_dim = 'member', freq = 5, new_dim_name = 'wt')$data), c(dataset = 1, member = 5, sdate = 6, ftime = 3, lat = 22, lon = 53, wt = 3)) diff --git a/vignettes/Analogs_vignette.Rmd b/vignettes/Analogs_vignette.Rmd index 31fb9c29..d7527657 100644 --- a/vignettes/Analogs_vignette.Rmd +++ b/vignettes/Analogs_vignette.Rmd @@ -65,7 +65,7 @@ Two datasets are used to illustrate how to use the function. The first one could ### Example 1: using data from CSTools -After loading **CSTools** package on the R session, the user will have access to the sample data `lonlat_data` and `lonlat_prec`. +After loading **CSTools** package on the R session, the user will have access to the sample data `lonlat_temp` and `lonlat_prec`. *Note: If it is the first time using CSTools, install the package by running `install.packages("CSTools")`. @@ -76,18 +76,18 @@ library(CSTools) After exploring the data, the user can directly run the Analogs downscaling method using the 'Large_dis' metric: ``` -class(lonlat_data$exp) -names(lonlat_data$obs) -dim(lonlat_data$obs$data) -dim(lonlat_data$exp$data) -head(lonlat_data$exp$Dates$start) +class(lonlat_temp$exp) +names(lonlat_temp$obs) +dim(lonlat_temp$obs$data) +dim(lonlat_temp$exp$data) +head(lonlat_temp$exp$Dates$start) ``` There are 15 ensemble members available in the data set, 6 starting dates and 3 forecast times, which refer to daily values in the month of November following starting dates on November 1st in the years 2010, 2011, 2012. ``` -down <- CST_Analogs(expL = lonlat_data$exp, obsL = lonlat_data$obs) +down <- CST_Analogs(expL = lonlat_temp$exp, obsL = lonlat_temp$obs) ``` The visualization of the first three time steps for the ensemble mean of the forecast initialized the 1st of Noveber 2000 can be done using the package **s2dv**: @@ -109,7 +109,7 @@ PlotLayout(PlotEquiMap, c('lat', 'lon'), The user can also request extra Analogs and the information: ``` -down <- CST_Analogs(expL = lonlat_data$exp, obsL = lonlat_data$obs, +down <- CST_Analogs(expL = lonlat_temp$exp, obsL = lonlat_temp$obs, nAnalogs = 2, AnalogsInfo = TRUE) ``` @@ -128,7 +128,7 @@ The last command run concludes that the best analog of the ensemble 15 correspon ``` PlotLayout(PlotEquiMap, c('lat', 'lon'), var = list(down$data$fields[1,,,15,1,1], - lonlat_data$obs$data[1,1,5,1,,]), nrow = 1, ncol = 2, + lonlat_temp$obs$data[1,1,5,1,,]), nrow = 1, ncol = 2, lon = down$lon, lat = down$lat, filled.continents = FALSE, titles = c("Downscaled 2000-11-01", "Observed 2004-11-01"), units = 'T(K)', width = 7, height = 4, fileout = './Figures/Analogs2.png') diff --git a/vignettes/Data_Considerations.Rmd b/vignettes/Data_Considerations.Rmd index 5a9f81e6..bd51b7d2 100644 --- a/vignettes/Data_Considerations.Rmd +++ b/vignettes/Data_Considerations.Rmd @@ -57,9 +57,9 @@ It is possible to visualize an example of the structure of 's2dv_cube' object by ``` library(CSTools) -class(lonlat_data$exp) # check the class of the object lonlat_data$exp -names(lonlat_data$exp) # shows the names of the elements in the object lonlat_data$exp -str(lonlat_data$exp) # shows the full structure of the object lonlat_data$exp +class(lonlat_temp$exp) # check the class of the object lonlat_temp$exp +names(lonlat_temp$exp) # shows the names of the elements in the object lonlat_temp$exp +str(lonlat_temp$exp) # shows the full structure of the object lonlat_temp$exp ``` ### 3. Data storage recommendations diff --git a/vignettes/ENSclustering_vignette.Rmd b/vignettes/ENSclustering_vignette.Rmd index 96ff2f5e..3994db00 100644 --- a/vignettes/ENSclustering_vignette.Rmd +++ b/vignettes/ENSclustering_vignette.Rmd @@ -42,7 +42,7 @@ For our example we will use the sample seasonal temperature data provided within Data can be loaded as follows: ```r -datalist <- CSTools::lonlat_data$exp +datalist <- CSTools::lonlat_temp$exp ``` The data will has the following dimension: diff --git a/vignettes/PlotForecastPDF.Rmd b/vignettes/PlotForecastPDF.Rmd index 757f4047..caaac279 100644 --- a/vignettes/PlotForecastPDF.Rmd +++ b/vignettes/PlotForecastPDF.Rmd @@ -75,12 +75,12 @@ plot <-PlotForecastPDF(fcst, tercile.limits = c(23, 27)) ggsave("outfile.pdf", plot, width=7, height=5) ``` -### 5.- A reproducible example using lonlat_data +### 5.- A reproducible example using lonlat_temp This final example uses the sample lonlat data from CSTools. It is suitable for checking reproducibility of results. ```{r,fig.show = 'hide',warning=F} -fcst <- data.frame(fcst1 = lonlat_data$exp$data[1,,1,1,1,1] - 273.15, - fcst2 = lonlat_data$exp$data[1,,1,2,1,1] - 273.15) +fcst <- data.frame(fcst1 = lonlat_temp$exp$data[1,,1,1,1,1] - 273.15, + fcst2 = lonlat_temp$exp$data[1,,1,2,1,1] - 273.15) PlotForecastPDF(fcst, tercile.limits = c(5, 7), extreme.limits = c(4, 8), var.name = "Temperature (ºC)", title = "Forecasts initialized on Nov 2000 at sample Mediterranean region", -- GitLab From 0292a520b3f48fd6aa19cd50429ca23df07223cf Mon Sep 17 00:00:00 2001 From: aho Date: Fri, 7 Oct 2022 19:21:07 +0200 Subject: [PATCH 2/6] Change CICD to run with R/4.1.2 --- .gitlab-ci.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 3017964c..e245a6cc 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -3,8 +3,8 @@ stages: build: stage: build script: - #- module load R/3.4.3-foss-2015a-bare Julia - - module load R/3.4.2-foss-2015a-bare +# - module load R/3.4.2-foss-2015a-bare + - module load R/4.1.2-foss-2015a-bare #- julia -e 'using Pkg; Pkg.add(["RainFARM"])' - R CMD build --resave-data . - R CMD check --as-cran --no-manual --run-donttest CSTools_*.tar.gz -- GitLab From 4854ebf3d152ce26afd505e8ff10df9ac5f95f0d Mon Sep 17 00:00:00 2001 From: aho Date: Fri, 7 Oct 2022 20:58:39 +0200 Subject: [PATCH 3/6] Correct s2dv::Eno param --- R/CST_RegimesAssign.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/CST_RegimesAssign.R b/R/CST_RegimesAssign.R index 6233ef96..99e13804 100644 --- a/R/CST_RegimesAssign.R +++ b/R/CST_RegimesAssign.R @@ -315,7 +315,7 @@ Composite <- function(var, occ, lag = 0, eno = FALSE, K = NULL, fileout = NULL) pvalue <- array(dim = c(dim(var)[1:2], composite = K)) if (eno == TRUE) { - n_tot <- Eno(var, posdim = 3) + n_tot <- Eno(var, time_dim = 'time') } else { n_tot <- length(occ) } @@ -331,7 +331,7 @@ Composite <- function(var, occ, lag = 0, eno = FALSE, K = NULL, fileout = NULL) indices <- indices[-toberemoved] } if (eno == TRUE) { - n_k <- Eno(var[, , indices], posdim = 3) + n_k <- Eno(var[, , indices], time_dim = 'time') } else { n_k <- length(indices) } -- GitLab From 980e5efe3f29e1edddd55df0f291497dc0532497 Mon Sep 17 00:00:00 2001 From: aho Date: Fri, 7 Oct 2022 20:59:09 +0200 Subject: [PATCH 4/6] Create new data lonlat_temp.rda; remove lonlat_data.RData --- .Rbuildignore | 1 + data/lonlat_temp.RData | Bin 743887 -> 0 bytes data/lonlat_temp.rda | Bin 0 -> 452274 bytes vignettes/PlotForecastPDF.Rmd | 3 ++- 4 files changed, 3 insertions(+), 1 deletion(-) delete mode 100644 data/lonlat_temp.RData create mode 100644 data/lonlat_temp.rda diff --git a/.Rbuildignore b/.Rbuildignore index b2d8e5fc..587c9dc9 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -6,3 +6,4 @@ .*^(?!data)\.RData$ .*\.gitlab-ci.yml$ #^tests$ +^inst/doc/$ diff --git a/data/lonlat_temp.RData b/data/lonlat_temp.RData deleted file mode 100644 index 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