Late-onset Alzheimer’s disease & Liver-specific network

Last updated: 2018-08-31

• ✔ R Markdown file: up-to-date

  Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

• ✔ Environment: empty

  Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.

• ✔ Seed: set.seed(20180719)

  The command set.seed(20180719) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.

• ✔ Session information: recorded

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• ✔ Repository version: 4af3002

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  Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:

  
  Ignored files:
      Ignored:    .Rhistory
      Ignored:    .Rproj.user/
  
  

  Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.

sessionInfo()

R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.6

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     

other attached packages:
[1] bindrcpp_0.2.2 DT_0.4         knitr_1.20     dplyr_0.7.5   
[5] R.matlab_3.6.1

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.17      bindr_0.1.1       whisker_0.3-2    
 [4] magrittr_1.5      workflowr_1.1.1   tidyselect_0.2.4 
 [7] R6_2.2.2          rlang_0.2.1       highr_0.7        
[10] stringr_1.3.1     tools_3.5.1       R.oo_1.22.0      
[13] git2r_0.21.0      htmltools_0.3.6   yaml_2.1.19      
[16] rprojroot_1.3-2   digest_0.6.15     assertthat_0.2.0 
[19] tibble_1.4.2      purrr_0.2.5       htmlwidgets_1.2  
[22] R.utils_2.6.0     glue_1.2.0        evaluate_0.10.1  
[25] rmarkdown_1.10    stringi_1.2.3     pillar_1.2.3     
[28] compiler_3.5.1    backports_1.1.2   R.methodsS3_1.7.1
[31] pkgconfig_2.0.1  

This reproducible R Markdown analysis was created with workflowr 1.1.1