Newer
Older
#'Function to Split Dimension
#'
#'@author Nuria Perez-Zanon, \email{nuria.perez@bsc.es}
#'
#'@description This function split a dimension in two. The user can select the dimension to split and provide indices indicating how to split that dimension or dates and the frequency expected (monthly or by day, month and year). The user can also provide a numeric frequency indicating the length of each division.
#'@param split_dim a character string indicating the name of the dimension to split
#'@param indices a vector of numeric indices or dates. If left at NULL, the dates provided in the s2dv_cube object (element Dates) will be used.
#'@param freq a character string indicating the frequency: by 'day', 'month' and 'year' or 'monthly' (by default). 'month' identifies months between 1 and 12 independently of the year they belong to, while 'monthly' differenciates months from different years.
#'@param new_dim_name a character string indicating the name of the new dimension.
#'@importFrom s2dverification Subset
#'@examples
#'
#'data <- 1 : 20
#'dim(data) <- c(time = 10, lat = 2)
#'data <-list(data = data)
#'class(data) <- 's2dv_cube'
#'indices <- c(rep(1,5), rep(2,5))
#'new_data <- CST_SplitDim(data, indices = indices)
#'time <- c(seq(ISOdate(1903, 1, 1), ISOdate(1903, 1, 4), "days"),
#' seq(ISOdate(1903, 2, 1), ISOdate(1903, 2, 4), "days"),
#' seq(ISOdate(1904, 1, 1), ISOdate(1904, 1, 2), "days"))
#'data <- list(data = data$data, Dates = time)
#'class(data) <- 's2dv_cube'
#'new_data <- CST_SplitDim(data, indices = time)
#'dim(new_data$data)
#'new_data <- CST_SplitDim(data, indices = time, freq = 'day')
#'dim(new_data$data)
#'new_data <- CST_SplitDim(data, indices = time, freq = 'month')
#'dim(new_data$data)
#'new_data <- CST_SplitDim(data, indices = time, freq = 'year')
#'dim(new_data$data)
#'@export
CST_SplitDim <- function(data, split_dim = 'time', indices = NULL,
freq = 'monthly', new_dim_name = NULL) {
if (!inherits(data, 's2dv_cube')) {
stop("Parameter 'data' must be of the class 's2dv_cube', ",
"as output by CSTools::CST_Load.")
}
if (is.null(indices)) {
if (any(split_dim %in% c('ftime', 'time', 'sdate'))) {
if (is.list(data$Dates)) {
indices <- data$Dates[[1]]
} else {
indices <- data$Dates
}
if (any(names(dim(data$data)) %in% 'sdate')) {
if (!any(names(dim(data$data)) %in% split_dim)) {
stop("Parameter 'split_dims' must be one of the dimension ",
"names in parameter 'data'.")
}
indices <- indices[1 : dim(data$data)[which(names(dim(data$data)) ==
}
data$data <- SplitDim(data$data, split_dim = split_dim, indices = indices,
freq = freq, new_dim_name = new_dim_name)
return(data)
}
#'Function to Split Dimension
#'
#'@author Nuria Perez-Zanon, \email{nuria.perez@bsc.es}
#'
#'@description This function split a dimension in two. The user can select the dimension to split and provide indices indicating how to split that dimension or dates and the frequency expected (monthly or by day, month and year). The user can also provide a numeric frequency indicating the length of each division.
#'
#'@param data an n-dimensional array with named dimensions
#'@param split_dim a character string indicating the name of the dimension to split
#'@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.
#'@importFrom s2dverification Subset
#'@examples
#'
#'data <- 1 : 20
#'dim(data) <- c(time = 10, lat = 2)
#'indices <- c(rep(1,5), rep(2,5))
#'new_data <- SplitDim(data, indices = indices)
#'time <- c(seq(ISOdate(1903, 1, 1), ISOdate(1903, 1, 4), "days"),
#' seq(ISOdate(1903, 2, 1), ISOdate(1903, 2, 4), "days"),
#' seq(ISOdate(1904, 1, 1), ISOdate(1904, 1, 2), "days"))
#'new_data <- SplitDim(data, indices = time)
#'new_data <- SplitDim(data, indices = time, freq = 'day')
#'new_data <- SplitDim(data, indices = time, freq = 'month')
#'new_data <- SplitDim(data, indices = time, freq = 'year')
#'@export
SplitDim <- function(data, split_dim = 'time', indices, freq = 'monthly',
new_dim_name = NULL) {
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
# check data
if (is.null(data)) {
stop("Parameter 'data' cannot be NULL.")
}
if (is.null(dim(data))) {
dim(data) = c(time = length(data))
}
if (is.null(names(dim(data)))) {
stop("Parameter 'data' must have dimension names.")
}
dims <- dim(data)
# check split_dim
if (!is.character(split_dim)) {
stop("Parameter 'split_dim' must be a character.")
}
if (length(split_dim) > 1) {
split_dim <- split_dim[1]
warning("Parameter 'split_dim' has length greater than ",
"one and only the first element will be used.")
}
if (!any(names(dims) %in% split_dim)) {
stop("Parameter 'split_dims' must be one of the dimension ",
"names in parameter 'data'.")
}
pos_split <- which(names(dims) == split_dim)
# check indices and freq
if (is.null(indices)) {
if (!is.numeric(freq)) {
stop("Parameter 'freq' must be a integer number indicating ",
" the length of each chunk.")
} else {
if (!((dims[pos_split] / freq) %% 1 == 0)) {
stop("Parameter 'freq' must be proportional to the ",
"length of the 'split_dim' in parameter 'data'.")
}
indices <- rep(1 : (dims[pos_split] / freq), freq)
indices <- sort(indices)
}
} else if (is.numeric(indices)) {
if (!is.null(freq)) {
if (freq != 'monthly') {
warning("Parameter 'freq' is not being used since ",
"parameter 'indices' is numeric.")
}
}
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
} else {
# Indices should be Dates and freq character
if (!is.character(freq)) {
stop("Parameter 'freq' must be a character indicating ",
"how to divide the dates provided in parameter 'indices'",
", 'monthly', 'anually' or 'daily'.")
}
if (!(any(class(indices) %in% c('POSIXct')))) {
indices <- try( {
if (is.character(indices)) {
as.POSIXct(indices)
} else {
as.POSIXct(indices)
}
})
if ('try-error' %in% class(indices) |
sum(is.na(indices)) == length(indices)) {
stop("Dates provided in parameter 'indices' must be of class",
" 'POSIXct' or convertable to 'POSIXct'.")
}
}
}
if (length(indices) != dims[pos_split]) {
stop("Parameter 'indices' has different length of parameter ",
"data in the dimension supplied in 'split_dim'.")
}
# check indices as dates:
if (!is.numeric(indices)) {
if (freq == 'day') {
indices <- as.numeric(strftime(indices, format = "%d"))
} else if (freq == 'month') {
indices <- as.numeric(strftime(indices, format = "%m"))
} else if (freq == 'year') {
indices <- as.numeric(strftime(indices, format = "%Y"))
} else if (freq == 'monthly' ) {
indices <- as.numeric(strftime(indices, format = "%m%Y"))
} else {
stop("Parameter 'freq' must be numeric or a character: ",
"by 'day', 'month', 'year' or 'monthly' (for ",
"distinguishable month).")
# check new_dim_name
if (!is.null(new_dim_name)) {
if (!is.character(new_dim_name)) {
stop("Parameter 'new_dim_name' must be character string")
}
if (length(new_dim_name) > 1) {
new_dim_name <- new_dim_name[1]
warning("Parameter 'new_dim_name' has length greater than 1 ",
"and only the first elemenst is used.")
}
}
max_times <- max(unlist(lapply(repited,
function(x){sum(indices == x)})))
data <- lapply(repited, function(x) {rebuild(x, data, along = split_dim,
indices = indices, max_times)})
data <- abind(data, along = length(dims) + 1)
if (is.character(freq)) {
names(dim(data)) <- c(names(dims), freq)
} else {
names(dim(data)) <- c(names(dims), 'index')
}
if (!is.null(new_dim_name)) {
names(dim(data)) <- c(names(dims), new_dim_name)
}
return(data)
}
rebuild <- function(x, data, along, indices, max_times) {
a <- Subset(data, along = along, indices = which(indices == x))
pos_dim <- which(names(dim(a)) == along)
if (dim(a)[pos_dim] != max_times) {
adding <- max_times - dim(a)[pos_dim]
new_dims <- dim(a)
new_dims[pos_dim] <- adding
extra <- array(NA, dim = new_dims)
a <- abind(a, extra, along = pos_dim)
names(dim(a)) <- names(dim(data))
}
return(a)
}