Last updated: 2019-04-26

Checks: 6 0

Knit directory: MSTPsummerstatistics/

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Introduction

Here, we introduce R, a statistical programming language. Doing statistics within a programming language brings many advantages, including allowing one to organize all analyses into program files that can be rerun to replicate analyses. In addition to using R, we will be using RStudio, an integrated development environment (IDE), which assists us in working with R and outputs of our code.

Both R and RStudio are freely available online.

Downloading/Installing R and RStudio


sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS  10.14.4

Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] workflowr_1.3.0 Rcpp_0.12.18    digest_0.6.16   rprojroot_1.3-2
 [5] backports_1.1.2 git2r_0.23.0    magrittr_1.5    evaluate_0.11  
 [9] stringi_1.2.4   fs_1.2.7        whisker_0.3-2   rmarkdown_1.10 
[13] tools_3.5.1     stringr_1.3.1   glue_1.3.0      yaml_2.2.0     
[17] compiler_3.5.1  htmltools_0.3.6 knitr_1.20