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 4.3.0 (2023-04-21)
 Platform: x86_64-pc-linux-gnu (64-bit)
 Running under: Pop!_OS 22.04 LTS
 
 Matrix products: default
 BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.10.0 
 LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0
 
 attached base packages:
 [1] stats     graphics  grDevices utils     datasets  methods   base     
 
 other attached packages:
 [1] ggplot2_3.4.2     consort_1.2.0     data.table_1.14.8 rms_6.7-0        
 [5] Hmisc_5.1-0      
 

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 5.1-0, https://hbiostat.org/R/Hmisc/.

To cite the rms package in publications use:

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

To cite the data.table package in publications use:

Dowle M, Srinivasan A (2023). data.table: Extension of ‘data.frame’. https://r-datatable.com, https://Rdatatable.gitlab.io/data.table, https://github.com/Rdatatable/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.

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