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datatoolboxexos

This repository contains the code and data I used during the datatoolbox CESAB workshop exercices. The courses and exercices of the workshop are obtainable here.

How to cite

Please cite this compendium as:

Authors, (2020). Compendium of R code and data for CESAB datatoolbox workshop exercices. Accessed 04 nov. 2020. Online at https://github.com/FRBCesab/datatoolboxexos

Contents

The data directory contains the data sets used in the analyses. There is a README in that directory that describes the data sets.

The exercices directory contains and .Rmd file for each exercice:

Each R Markdown source document for the exercices includes code to reproduce the figures and tables generated by the analyses. They also have rendered versions, .md and html suitable respectively for reading on github and in a web browser.

How to run it ?

This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally RStudio Desktop.

You can download the compendium as a zip from from this URL: master.zip. After unzipping:

  • open the .Rproj file in RStudio

  • open make.R and source it to ensure you have the packages these analyses depends on (also listed in the DESCRIPTION file under Imports) and produce the reports for all the exercercices.

Licenses

Text and figures : CC-BY-4.0

Code : See the DESCRIPTION file

Data : CC-0 attribution requested in reuse

Session Info

utils::sessionInfo()
#> R version 3.6.3 (2020-02-29)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: Ubuntu 19.10
#> 
#> Matrix products: default
#> BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.8.0
#> LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.8.0
#> 
#> locale:
#>  [1] LC_CTYPE=fr_FR.UTF-8       LC_NUMERIC=C              
#>  [3] LC_TIME=fr_FR.UTF-8        LC_COLLATE=fr_FR.UTF-8    
#>  [5] LC_MONETARY=fr_FR.UTF-8    LC_MESSAGES=fr_FR.UTF-8   
#>  [7] LC_PAPER=fr_FR.UTF-8       LC_NAME=C                 
#>  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
#> [11] LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=C       
#> 
#> attached base packages:
#> [1] stats     graphics  grDevices utils     datasets  methods   base     
#> 
#> loaded via a namespace (and not attached):
#>  [1] compiler_3.6.3  magrittr_1.5    tools_3.6.3     htmltools_0.5.0
#>  [5] yaml_2.2.1      stringi_1.5.3   rmarkdown_2.5   knitr_1.30     
#>  [9] stringr_1.4.0   xfun_0.18       digest_0.6.27   rlang_0.4.8    
#> [13] evaluate_0.14

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