Last updated: 2018-09-20
workflowr checks: (Click a bullet for more information) ✔ 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
Great job! Recording the operating system, R version, and package versions is critical for reproducibility.
✔ Repository version: 250da2b
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/
Unstaged changes:
Deleted: analysis/snp2net_liver.Rmd
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.
True total number of genes with nonzero effect: 1778
Estimated total number of genes with nonzero effect: 1839.192
Version | Author | Date |
---|---|---|
bd843cd | Xiang Zhu | 2018-09-19 |
True total number of genes with nonzero effect: 3679
Estimated total number of genes with nonzero effect: 3686.424
Version | Author | Date |
---|---|---|
bd843cd | Xiang Zhu | 2018-09-19 |
True total number of genes with nonzero effect: 3679
Estimated total number of genes with nonzero effect: 3713.469
Version | Author | Date |
---|---|---|
bd843cd | Xiang Zhu | 2018-09-19 |
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 plotROC_2.2.1 ggpubr_0.1.8 magrittr_1.5
[5] ggplot2_3.0.0 R.matlab_3.6.1
loaded via a namespace (and not attached):
[1] Rcpp_0.12.18 compiler_3.5.1 pillar_1.3.0
[4] git2r_0.23.0 plyr_1.8.4 workflowr_1.1.1
[7] bindr_0.1.1 R.methodsS3_1.7.1 R.utils_2.7.0
[10] tools_3.5.1 digest_0.6.17 evaluate_0.11
[13] tibble_1.4.2 gtable_0.2.0 pkgconfig_2.0.2
[16] rlang_0.2.2 yaml_2.2.0 withr_2.1.2
[19] stringr_1.3.1 dplyr_0.7.6 knitr_1.20
[22] cowplot_0.9.3 rprojroot_1.3-2 grid_3.5.1
[25] tidyselect_0.2.4 glue_1.3.0 R6_2.2.2
[28] rmarkdown_1.10 purrr_0.2.5 whisker_0.3-2
[31] backports_1.1.2 scales_1.0.0 htmltools_0.3.6
[34] assertthat_0.2.0 colorspace_1.3-2 labeling_0.3
[37] stringi_1.2.4 lazyeval_0.2.1 munsell_0.5.0
[40] crayon_1.3.4 R.oo_1.22.0
This reproducible R Markdown analysis was created with workflowr 1.1.1