20 Other Resources and Computing Environment

20.1 Other Resources

Software development resources for data scientists by Isabella VELÁSQUEZ
Teaching R in a kinder, gentler, more effective manner: Use base-R, not the tidyverse by Norm Matloff
Setting up an R workflow by Andrew Ba Tran

20.2 Computing Environment

The following output is created by the command markupSpecs$html$session(), where markupSpecs is defined in the Hmisc package.

 R version 4.3.2 (2023-10-31)
 Platform: aarch64-apple-darwin20 (64-bit)
 Running under: macOS Sonoma 14.1.2
 
 Matrix products: default
 BLAS:   /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRblas.0.dylib 
 LAPACK: /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.11.0
 
 attached base packages:
 [1] stats     graphics  grDevices utils     datasets  methods   base     
 
 other attached packages:
 [1] ggplot2_3.4.4      consort_1.2.1      data.table_1.14.10 rms_6.8-0         
 [5] Hmisc_5.1-2

To cite R in publications use:

R Core Team (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

To cite the Hmisc package in publications use:

Harrell Jr F (2023). Hmisc: Harrell Miscellaneous. R package version 5.1-2, https://hbiostat.org/R/Hmisc/.

To cite the rms package in publications use:

Harrell Jr FE (2023). rms: Regression Modeling Strategies. R package version 6.8-0, https://github.com/harrelfe/rms, https://hbiostat.org/R/rms/.

To cite the data.table package in publications use:

Barrett T, Dowle M, Srinivasan A (2023). data.table: Extension of 'data.frame'. R package version 1.14.10, https://CRAN.R-project.org/package=data.table.

To cite the ggplot2 package in publications use:

Wickham H (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. ISBN 978-3-319-24277-4, https://ggplot2.tidyverse.org.