19  Other Resources, Acknowledgements, and Computing Environment

19.1 Other Resources

19.2 Acknowledgements

The authors wishes to thank the R Core team and R package developers along with RStudio for the free software they have developed that has revolutionized statistical computing, reporting, and reproducible research. Thanks to Titus von der Malsburg for careful reading of the text and for reporting numerous typographical and grammatical errors and a few programming errors. Thanks to Norm Matloff, University of California Davis, who provided big ideas to improve the preface and motivation for the book.

19.3 Computing Environment

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

 R version 4.2.0 (2022-04-22)
 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] consort_1.0.1     data.table_1.14.2 rms_6.3-1         SparseM_1.81     
 [5] Hmisc_4.7-1       ggplot2_3.3.5     Formula_1.2-4     survival_3.3-1   
 [9] lattice_0.20-45  
To cite R in publications use:

R Core Team (2022). 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 (2022). Hmisc: Harrell Miscellaneous. R package version 4.7-1, https://hbiostat.org/R/Hmisc/.

To cite the rms package in publications use:

Harrell Jr FE (2022). 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 (2021). data.table: Extension of 'data.frame'. R package version 1.14.2, 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.

To cite the survival package in publications use:

Therneau T (2022). A Package for Survival Analysis in R. R package version 3.3-1, https://CRAN.R-project.org/package=survival.