tools:rtools []

This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong.
At BSC-ES there is a collaborative effort to share resources for data analysis in R and develop some in-houseR tools that are maintained by the R developer team. The R tools can be used for postprocessing experiments: loading data, computing prediction scores, indices or calibrate experiments as well as plotting, formating data and saving data. Furthermore, by dividing the data in chunks, you can speed your execution by using startR. You will find more information about our in-house packages further down, in the 'In-house Packages' section.

You can join the [[http://mailman3.bsc.es/postorius/lists/earth-rtools.bsc.es/|Earth RTools mailing list]] to receive the latest updates about news. Check the list of R tips below to learn about **BSC-ES infrastructure** and other R tips.

===== Getting started: using R at BSC-ES =====

==== Environment Modules ====

The Workstations, the BSC-ES Hub and the HPC machines use [[https://earth.bsc.es/wiki/doku.php?id=library:environment_modules | environment modules]], which are maintained by our IT team. Each module contains a set of software packages that can only be used if the module has been loaded in the environment. 

For example, to load CDO and R in the hub, you should load the corresponding modules with the 'module load' command:
    module load CDO/2.4.4-gompi-2023b
    module load R/4.4.1-gfbf-2023b
    module load R-bundle-CRAN/2024.06-foss-2023b

The currently maintained R module versions are:

  * BSC-ES Hub: R/4.4.1-gfbf-2023b (+ R-bundle-CRAN/2024.06-foss-2023b for most CRAN Packages; and R-bundle-Bioconductor/3.19-foss-2023b-R-4.4.1 for Bioconductor packages. See: [[https://earth.bsc.es/wiki/doku.php?id=computing:bsceshub | Computing - Bsceshub]])
  * Nord3v2: R/4.1.2-foss-2019b (See: [[https://earth.bsc.es/wiki/doku.php?id=computing:nord3-v2|Computing - Nord3v2]])
  * CTE-AMD: R/4.1.2-foss-2019b (See: [[https://earth.bsc.es/wiki/doku.php?id=computing:amd|Computing - AMD]])
  * Nord4: R/4.1.2-foss-2019b (See: [[https://earth.bsc.es/wiki/doku.php?id=computing:nord4|Computing - Nord4]])
  * BSC-ES Hub (deprecated): R/4.2.1-foss-2021b (See: [[https://earth.bsc.es/wiki/doku.php?id=computing:bsceshub|Computing - Bsceshub (Testing phase)]])
  * Workstations (deprecated): R/4.1.2-foss-2015a-bare (See: [[https://earth.bsc.es/wiki/doku.php?id=computing:workstations| Computing - Workstations]])

Check the wiki page for each machine to see if you need to follow any additional steps to be able to load the correct modules.

==== R packages ====

The R modules contain the latest released version of our in-house R packages, as well as many other R packages that may be used by people in the department.
There is no need to install any packages locally by yourself; you can load the corresponding module and check if the R package is already installed. If it is not installed, you may open an issue in the Requests GitLab project (https://earth.bsc.es/gitlab/es/requests/-/issues) and tag Stamen Miroslavov Minkov (@smirosla) to ask him to install it in the machines.

Some packages may require additional modules; see the ‘R tips’ section below.

The list of R packages installed in the latest maintained R modules (as of 2024-02-02) can be found {{ :tools:r_modules_and_packages_20240202.ods |here}}, and a list of functions in each department R package (as of 2021-01-18) can be found [[https://docs.google.com/spreadsheets/d/1gA-O1WkgH50VnyxOz9gbec_DsyvWMkyF-9SlFANXLqI/edit#gid=1328408011| here]] or in the documentation for each package on CRAN.

==== Where to run R ====

  * To open an R session in the terminal, simply type ‘R’ after loading the R module. 
  * RStudio Server is available on the Workstations and Nord3v2. See the section ‘RStudio Server’ below. RStudio Server is not yet available on the Hub, but you can use VSCode. See the ‘R tips’ section below. 
  * To use Jupyter Notebooks in the BSC-ES Hub, see the [[https://earth.bsc.es/wiki/doku.php?id=computing:howto:jupyter_notebooks#r_experimental | Jupyter Notebook wiki page]]. For the workstations, the up-to-date R version is not working with Jupyter Notebooks.
  
===== In-house Packages =====

Brief Summary and links to in-house packages: {{ :tools:package_summary.pdf | Package Summary}}

See specific information for each tool:

  * [[https://earth.bsc.es/wiki/doku.php?id=tools:startR&s[]=startR|startR]]
  * [[https://earth.bsc.es/wiki/doku.php?id=tools:CSTools&s[]=CSTools|CSTools]]
  * [[https://earth.bsc.es/wiki/doku.php?id=tools:ClimProjDiags&s[]=ClimProjDiags|ClimProjDiags]]
  * [[https://earth.bsc.es/wiki/doku.php?id=tools:s2dv&s[]=s2dv|s2dv]]
  * [[https://earth.bsc.es/wiki/doku.php?id=tools:multiApply&s[]=multiApply|multiApply]]
  * [[https://earth.bsc.es/wiki/doku.php?id=tools:easyNCDF&s[]=easyNCDF|easyNCDF]]
  * [[https://earth.bsc.es/wiki/doku.php?id=tools:s2dverification&s[]=s2dverification|s2dverification]] //[deprecated 04/09/2020]//

===== Presentations =====
  * {{ :tools:r_tool_roadmap_2024.pdf |R Tools Roadmap 2024}}
  * {{ :tools:day2_04_handson_r_tools.pdf | BSC Training (PATC) 2023 - Climate Forecast Analysis hands-on tutorial: R tools}}
  * {{ :tools:create_r_package_in_bsc-es.pdf | Create R Package in BSC-ES}} (2023-05-26)
  * {{ :tools:r_tool_roadmap_2023.pdf | R Tools Roadmap 2023}}
  * {{ :tools:patc2022_r_handson.pdf | PATC2022 - Climate Forecast Analysis hands-on tutorial: R tools}}
  * {{ :tools:training_introductiontothedeptrtools.pdf | Training: Introduction to the department tools }} (2021-01-26)
  * [[https://docs.google.com/presentation/d/1AfVKHxSDbMw0HD5yDCZ6evx2PpbsFG9_gsRDxMNFhU8/edit#slide=id.g60506b0e68_0_432|General scheme of the department R tools]]
  * {{ :tools:18nov2020-ivmw-o.pdf |Overview Development and Maintenance}}

===== How to report an issue =====
We use issues to identify and address bugs and propose new developments in the codebase. If you find a problem in our tools, please read this document to see if you should and how to report an issue. [[https://docs.google.com/document/d/1zRlmsRwFDJctDB94x6HGf6ezu3HFHhEjaBu0hVcrwTI/edit?usp=sharing|Guidelines for R-related questions in Earth Sciences]]

===== R User Meeting =====

A monthly meeting takes place in the department to discuss about the plans and priorities of the R tools (or any other topic we need to discuss). Here you can find a document were the minutes are being gathered:
  * [[https://docs.google.com/document/d/1VqnwgeimqNLODfqAyPjIY9XprGD5JQ-NPqzQF6nNDS0/edit?usp=sharing&s|Minutes until June 2022]]
  * [[https://docs.google.com/document/d/1mdLCS7SC5-8NwAB_gAzUsEnJN4yYEYmAlVys0qT8Edk/edit?usp=sharing|Minutes since July 2022]]

====2025====
  * R tools user meeting (Hybrid Mode, 05/06/2025){{ :tools:r_user_meeting_20250605.pdf | Slides}}
  * R tools user meeting (Hybrid Mode, 03/04/2025){{ :tools:r_user_meeting_20250403.pdf | Slides}}
  * R tools user meeting (Hybrid Mode, 06/02/2025){{ :tools:r_user_meeting_20250206.pdf | Slides}}


====2024====
  * R tools user meeting (Hybrid Mode, 12/12/2024){{ :tools:r_user_meeting_20241212.pdf | Slides}}
  * R tools user meeting (Slides-only, 07/11/2024){{ :tools:r_user_meeting_20241107.pdf | Slides}}
  * R tools user meeting (Hybrid Mode, 12/09/2024){{ :tools:r_user_meeting_20240912.pdf | Slides}}
  * R tools user meeting (Hybrid Mode, 04/07/2024){{ :tools:r_user_meeting_20240704.pdf | Slides}}
  * R tools user meeting (Hybrid Mode, 01/06/2024){{ :tools:r_user_meeting_20240606.pdf | Slides}}
  * R tools user meeting (Hybrid Mode, 02/05/2024){{ :tools:r_user_meeting_20240502.pdf | Slides}}
  * R tools user meeting (Hybrid Mode, 04/04/2024){{ :tools:r_user_meeting_20240404.pdf | Slides}}
  * R tools user meeting (Hybrid Mode, 01/02/2024){{ :tools:r_user_meeting_20240201.pdf | Slides}}

====2023====
  * R tools user meeting (Mix Mode, 14/12/2023){{ :tools:r_user_meeting_20231214.pdf | Slides}}
  * R tools user meeting (Mix Mode, 02/11/2023){{ :tools:r_user_meeting_20231102.pdf | Slides}}
  * R tools user meeting (Mix Mode, 05/10/2023){{ :tools:r_user_meeting_20231005.pdf | Slides}}
  * R tools user meeting (Mix Mode, 07/09/2023){{ :tools:r_user_meeting_20230907.pdf | Slides}}
  * R tools user meeting (Mix Mode, 06/07/2023){{ :tools:r_user_meeting_20230706.pdf | Slides}}
  * R tools user meeting (Mix Mode, 01/06/2023){{ :tools:r_user_meeting_20230601.pdf | Slides}}
  * R tools user meeting (Mix Mode, 04/05/2023){{ :tools:r_user_meeting_20230504.pdf | Slides}}
  * R tools user meeting (Mix Mode, 06/04/2023){{ :tools:r_user_meeting_20230406.pdf | Slides}}
  * R tools user meeting (Mix Mode, 02/03/2023){{ :tools:r_user_meeting_20230302.pdf | Slides}}
  * R tools user meeting (Mix Mode, 02/02/2023){{ :tools:r_user_meeting_20230202.pdf | Slides}}

====2022====
  * R tools user meeting (Mix Mode, 01/12/2022){{ :tools:r_user_meeting_20221201.pdf | Slides}}
  * R tools user meeting (Mix Mode, 03/11/2022){{ :tools:r_user_meeting_20221103.pdf | Slides}}
  * R tools user meeting (Mix Mode, 06/10/2022){{ :tools:r_user_meeting_06102022.pdf | Slides}}
  * R tools user meeting (Mix Mode, 01/09/2022){{ :tools:r_user_meeting_01092022.pdf | Slides}} [[https://rpubs.com/aho/936896|Quarto html]]
  * R tools user meeting (Mix Mode, 07/07/2022){{ :tools:r_user_meeting_07072022.pdf | Slides}}
  * R tools user meeting (Mix Mode, 02/06/2022){{ :tools:r_user_meeting_02062022.pdf | Slides}}
  * R tools user meeting (Mix Mode, 05/05/2022){{ :tools:r_user_meeting_05052022.pdf | Slides}}
  * R tools user meeting (Mix Mode, 07/04/2022){{ :tools:r_user_meeting_07042022.pdf | Slides}}
  * R tools user meeting (Mix Mode, 03/03/2022){{ :tools:r_user_meeting_03032022.pdf | Slides}}
  * R tools user meeting (Mix Mode, 03/02/2022){{ :tools:r_user_meeting_03022022.pdf | Slides}}

====2021====
  * R tools user meeting (Mix Mode, 02/12/2021){{ :tools:r_user_meeting_2021202.pdf | Slides}}
  * R tools user meeting (Mix Mode, 04/11/2021){{ :tools:r_user_meeting_20211104.pdf | Slides}}
  * R tools user meeting (Mix Mode, 07/10/2021){{ :tools:rusersmeeting_oct2021.pdf | Slides}}
  * R tools user meeting (Online, 09/07/2021){{ :tools:r_user_meeting_20210709.pdf | Slides}}
  * R tools user meeting (Online, 04/06/2021){{ :tools:r_user_meeting_20210604.pdf | Slides}}
  * R tools user meeting (Online, 07/05/2021){{ :tools:r_user_meeting_20210507.pdf | Slides}}
  * R tools user meeting (Online, 09/04/2021){{ :tools:r_user_meeting_09042021.pdf | Slides}}
  * R tools user meeting (Online, 05/03/2021){{ :tools:r_user_meeting_20210305.pdf | Slides}}
  * R tools user meeting (Online, 05/02/2021){{ :tools:r_user_meeting_05022021.pdf | Slides}}[[https://docs.google.com/document/d/1VqnwgeimqNLODfqAyPjIY9XprGD5JQ-NPqzQF6nNDS0/edit| Minutes]]
  * R tools user meeting (Online, 08/01/2021) {{ :tools:r_users_meeting_01_2021.pdf | Slides}} [[https://docs.google.com/document/d/1VqnwgeimqNLODfqAyPjIY9XprGD5JQ-NPqzQF6nNDS0/edit| Minutes]]

====2020====
  * R tools user meeting (Online, 04/12/2020) {{ :tools:r_users_meeting_12_2020.pdf | Slides}} [[https://docs.google.com/document/d/1VqnwgeimqNLODfqAyPjIY9XprGD5JQ-NPqzQF6nNDS0/edit| Minutes]]
  * R tools user meeting (Online, 06/11/2020) {{ :tools:r_users_meeting_nov2020.pdf | Slides}} [[https://docs.google.com/document/d/1VqnwgeimqNLODfqAyPjIY9XprGD5JQ-NPqzQF6nNDS0/edit| Minutes]]
  * R tools user meeting (BSC, 23/06/2020) {{ :tools:r_users_meeting_06_2020.pdf | Slides}} [[https://docs.google.com/document/d/1VqnwgeimqNLODfqAyPjIY9XprGD5JQ-NPqzQF6nNDS0/edit| Minutes]]
  * R tools user meeting (BSC, 23/03/2020) {{ :tools:r_users_meeting_03_2020.pdf | Slides}} [[https://docs.google.com/document/d/1VqnwgeimqNLODfqAyPjIY9XprGD5JQ-NPqzQF6nNDS0/edit| Minutes]]
 
====2019====
  * R tools user meeting (BSC, 07/11/2019) {{ :tools:rtools_user_meeting_20191107.pdf |Slides}}{{ :tools:rtools_user_meeting_minutes_20191107.pdf |minutes}}

===== How to source a function from GitLab repository =====

If we want to test a developing function from GitLab, sourcing the file on GitLab is very useful. Of course, you can save the file and source it locally, but when the file is updated, you need to manually update the local file, which is not convenient.

If the repository is **public**, you can follow these two ways.

1. If you have the git repo cloned under your personal directory: 
  - git checkout to the branch where the function is.
  - Open an R session, source the function from the git repo. Source the depended packages as well. You can modify the following lines for your package.

  path <- "/home/Earth/aho/s2dv/R/"  # the git repo path
  ff <- lapply(list.files(path), function(x) paste0(path, x))
  invisible(lapply(ff, source))
  # load all the depended packages
  lib <- c('parallel', 'abind', 'bigmemory', 'future', 'multiApply', 'PCICt', 'ClimProjDiags', 'ncdf4', 'plyr', 'easyNCDF')
  invisible(lapply(lib, library, character.only = TRUE))

 2. If you don't have a local git repo:

 Source the file by raw file URL. E.g., 
  source("https://earth.bsc.es/gitlab/external/cstools/-/raw/master/R/s2dv_cube.R")
    
Remember that you need to use the raw URL, which can be found in the upper-right corner of the file.
Note that you may need to load other packages or source other functions used in the sourced function. In contrast, by the first method above, all the possible needs are taken care of already.

If the repository is **not public**, see {{ :tools:source_functions_from_non-public_gitlab_repo.pdf | this slide}}

===== How to cite R Tools =====

If you use any R packages, both developed in or outside of the department, you can include a citation in your research items. 

//Reference//: https://ropensci.org/blog/2021/11/16/how-to-cite-r-and-r-packages/

==== Cite R package ====
To get the most updated citation text, you can simply use R function "citation". For example,

    > citation("s2dv")
    To cite package 's2dv' in publications use:
    
      BSC-CNS, An-Chi Ho and Nuria Perez-Zanon (2023). s2dv: A Set of
      Common Tools for Seasonal to Decadal Verification. R package version
      2.0.0. https://CRAN.R-project.org/package=s2dv
    
    A BibTeX entry for LaTeX users is
    
      @Manual{,
        title = {s2dv: A Set of Common Tools for Seasonal to Decadal Verification},
        author = {{BSC-CNS} and An-Chi Ho and Nuria Perez-Zanon},
        year = {2023},
        note = {R package version 2.0.0},
        url = {https://CRAN.R-project.org/package=s2dv},
      }

Notice that you may want to change the version number in case the research is done with a previous version.

==== Cite R ====
To cite R software along with its base packages, type citation(). The year varies with the R version you use. 

    > citation()
    To cite R in publications use:
    
      R Core Team (2021). R: A language and environment for statistical
      computing. R Foundation for Statistical Computing, Vienna, Austria.
      URL https://www.R-project.org/.
    
    A BibTeX entry for LaTeX users is
    
      @Manual{,
        title = {R: A Language and Environment for Statistical Computing},
        author = {{R Core Team}},
        organization = {R Foundation for Statistical Computing},
        address = {Vienna, Austria},
        year = {2021},
        url = {https://www.R-project.org/},
      }
    
    We have invested a lot of time and effort in creating R, please cite it
    when using it for data analysis. See also ‘citation("pkgname")’ for
    citing R packages.


==== Package publication ====

Some packages have their own publication, which can also be considered being included.

 
  * **CSTools** 
  Pérez-Zanón, N., Caron, L.-P., Terzago, S., Van Schaeybroeck, B., Lledó, L., Manubens, N., Roulin, E., Alvarez-Castro, M. C., Batté, L., Bretonnière, P.-A., Corti, S., Delgado-Torres, C., Domínguez, M., Fabiano, F., Giuntoli, I., von Hardenberg, J., Sánchez-García, E., Torralba, V., and Verfaillie, D.: Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information, Geosci. Model Dev., 15, 6115–6142, https://doi.org/10.5194/gmd-15-6115-2022, 2022.

  * **CSIndicators**
  Pérez-Zanón, N., Ho, A. Chou, C., Lledó, L., Marcos-Matamoros, R., Rifà, E. and González-Reviriego, N. (2023). CSIndicators: Get tailored climate indicators for applications in your sector. Climate Services. https://doi.org/10.1016/j.cliser.2023.100393


  * **s2dverification** 
  Nicolau Manubens, Louis-Philippe Caron, Alasdair Hunter, Omar Bellprat, Eleftheria Exarchou, Neven S. Fučkar, Javier Garcia-Serrano, François Massonnet, Martin Ménégoz, Valentina Sicardi, Lauriane Batté, Chloé Prodhomme, Verónica Torralba, Nicola Cortesi, Oriol Mula-Valls, Kim Serradell, Virginie Guemas, Francisco J. Doblas-Reyes, An R package for climate forecast verification, Environmental Modelling & Software, Volume 103, 2018, Pages 29-42, ISSN 1364-8152,https://doi.org/10.1016/j.envsoft.2018.01.018.
 

==== Acknowlegement ====

You can also choose to put the packages in the acknowledgment section. Here is an example from [[https://journals.ametsoc.org/view/journals/clim/aop/jcliD200138/jcliD200138.xml | 'How Reliable Are Decadal Climate Predictions of Near-Surface Air Temperature?']] (Verfaille et al, 2020):

//We acknowledge the use of the s2dverification (Manubens et al. 2018), startR (BSC/CNS and Manubens 2020), SpecsVerification (Siegert 2017), CSTools (Pérez-Zanón et al. 2019), ClimProjDiags (BSC/CNS et al. 2020), and boot (Davison and Hinkley 1997; Canty and Ripley 2020) R (R Core Team 2013) software packages.// 
 

==== Manuscript ====

It is recommended to add some sentences in the manuscripts where readers can check the full list of software used. For example,

//All analyses were performed using R Statistical Software (v4.1.2; R Core Team 2021). Temperature data was processed via the R packages: startR (v2.3.0; BSC-CNS etc. 2023), s2dv (v2.0.0; BSC-CNS etc. 2023). The indices were calculated using the R package: CSIndicators (v1.0.1; N. Perez etc. 2023).//

===== RStudio-server =====

You can launch RStudio-server on workstation or on Nord3v2. It opens RStudio IDE as a webpage. Please follow the instruction:

  * [[https://earth.bsc.es/wiki/doku.php?id=computing:workstations#using_rstudio-server_in_ws|On workstation]]
  * [[https://earth.bsc.es/wiki/doku.php?id=computing:nord3-v2#using_rstudio-server_in_nord3-v2|On Nord3v2]]

===== R Tips =====

General R solutions that are useful in the department but doesn't belong exclusively to an in-house R package will be listed here.


**1. BSC-ES infrastructure**


How to access, what you will find (servers, machines, partitions, modules) and how to open RStudio: check the slides and share them with your colleagues. {{ :tools:what_do_we_know_about_bsc-es_infrastructure.pdf |slides}}

How to access BSC Hub and run R from the terminal and using VSCode: {{ :tools:ghr_-_bschub_demo.pdf |}} 


**2. How to change a CDO version in your open R session**


  > system('module load CDO/1.5.3-foss-2015a')
  The following have been reloaded with a version change:
  1) CDO/1.6.3-foss-2015a => CDO/1.5.3-foss-2015a


In this case, CDO version has been changed from a newer to an older version.

Remember that you can see the full list of CDO version by running:

    module av CDO

in your terminal

**3. How to load dependencies of R package sf, terra, and mapview**

This package could be used by loading the following modules (note that order may affect):

(on nord4)
    module load R/4.1.2-foss-2019b
    module load GDAL/3.3.2-foss-2019b-Python-3.7.4 
    module load PROJ/7.2.1-foss-2019b 
    module load GEOS/3.7.2-foss-2019b-Python-3.7.4

(on hub)
  module load R/4.4.1-gfbf-2023b
  module load R-bundle-CRAN/2024.06-foss-2023b
  module load GEOS/3.12.1-GCC-13.2.0
  module load GDAL/3.9.0-foss-2023b
  module load PROJ/9.3.1-GCCcore-13.2.0

(on bsceshub02 (deprecated))
    module load R/4.2.1-foss-2021b  
    module load GDAL/3.5.2-foss-2021b-Python-3.9.6 
    module load PROJ/9.1.0-foss-2021b 
    module load GEOS/3.11.0-GCC-11.2.0
    
(on workstation)  
    module load R/4.1.2-foss-2015a-bare
    module load GDAL/2.2.1-foss-2015a 
    module load PROJ/4.8.0-foss-2015a 
    module load GEOS/3.7.2-foss-2015a-Python-2.7.9

Note: Avoid to include them in your bashrc, just load them when it is a requirement.  

Note2: to use library RNetCDF `module load HDF5/1.10.5-foss-2015a` is required.

**4. How to load dependencies of R package rgdal**

This package could be used by loading the following modules in this specific order:
 
 - for R 3.6.1:
    module load R/3.6.1-foss-2015a-bare
    module load GDAL/2.2.1-foss-2015a-GEOS-3.8.0
    # if necessary add: module load PROJ/6.1.1-foss-2015a

 - for R 4.1.2:
    module load R/4.1.2-foss-2015a-bare
    module load GDAL/2.2.1-foss-2015a
    # if necessary add: module load PROJ/6.1.1-foss-2015a

Note: Avoid including them in your bashrc, just load them when it is a requirement.

**5. How to avoid Load error in R 3.6.1:  cdo -griddes core dumped**

To avoid an error of Load because of the command CDO -griddes, a different version of HDF5 is required:

    module load HDF5/1.8.14-foss-2015a
    
The same requirement also applies to s2dv::CDORemap and startR::CDORemapper.

**6. How to use 'rmapshaper' library in workstation and Nord3v2**

To correctly use the R library rmapshaper,  you need to load the following modules:

 - On workstation:
    module load R/4.1.2-foss-2015a-bare
    module load libprotobuf/3.5.1-foss-2015a libjq/1.5.-foss-2015a nodejs/10.21.0-foss-2015a
    
 - On Nord3v2:
    module load R/4.1.2-foss-2019b 
    module load protobuf/3.7.1-GCCcore-8.3.0 jq/1.5-GCCcore-8.3.0 nodejs/10.21.0-GCCcore-8.3.0


**7. How to avoid plotting issues (as fuzzy labels) in Nord3**

To save good quality plots created in Nord3, the library 'ragg' is necessary. It is already installed, so, in your R code or R session, before generating the plot, load the library, and use agg_png() function to define the name, size and resolution of your plot. Then, create your plot and close the device. Here, there are two examples:

    library(CSTools)
    library(ragg)
    # Ex1:
    agg_png("fig1.png", width = 1000, height = 500, units = 'px',res = 144)
    fcst <- data.frame(fcst1=rnorm(mean=25,sd=3,n=30),fcst2=rnorm(mean=23,sd=4.5,n=30))
    PlotForecastPDF(fcst,tercile.limits=c(20,26))
    dev.off()
    # Ex2:
    agg_png("fig2.png", width = 1000, height = 1000, units = 'px',res = 144)
    PlotMostLikelyQuantileMap(list(a, b, c), lons, lats,
    toptitle = 'Most likely tercile map',
    bar_titles = paste('% of belonging to', c('a', 'b', 'c')),
    brks = 20)
    dev.off()

In case you want to save your plot in .ps format, you don't need this library. You can adapt the following lines to your ploting function:

    postscript(‘name_and_path_to_the_file.ps’)
    anyplotingfunction()
    dev.off()

**8. Error *** caught segfault *** address 0x18, cause 'memory not mapped'**

If this error appears, check that the partition `/dev/shm/` is empty. In case, trash files are occupying this partition, the process you are running may fail. **Remove the files and re-run your code.**

If the error persists, **check your code with a smaller data sample** to discard a problem with your code since this error message indicates that you are requesting more memory than the available.

**9. Special characters **

In case of problems with accents or special characters, try to change the R session language to the most convenient: `Sys.setlocale("LC_ALL","en_US.UTF-8")`.

**10. Test the development on Git**  

There are several ways to source the functions under development. Depending on the attributes of the function and the use case, the most suitable way can vary. Check the slides: {{ :tools:source_git_function.pdf | source_git_function.pdf}}

**11. How to load dependencies of R package RNetCDF**

This package could be used by loading the following modules (note that order may affect):

(on workstation)  
    module load R/4.1.2-foss-2015a-bare
    module load HDF5/1.10.5-foss-2015a

(on nord3v2)
    module load R/4.1.2-foss-2019b
    module load HDF5/1.10.5-gompi-2019b
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