Last updated: 2025-01-31

Checks: 6 1

Knit directory: wflowr_template/

This reproducible R Markdown analysis was created with workflowr (version 1.7.1). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

R Markdown file: uncommitted changes

The R Markdown is untracked by Git. To know which version of the R Markdown file created these results, you’ll want to first commit it to the Git repo. If you’re still working on the analysis, you can ignore this warning. When you’re finished, you can run wflow_publish to commit the R Markdown file and build the HTML.

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(20220610)

The command set.seed(20220610) 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.

Cache: none

Nice! There were no cached chunks for this analysis, so you can be confident that you successfully produced the results during this run.

File paths: relative

Great job! Using relative paths to the files within your workflowr project makes it easier to run your code on other machines.

Repository version: fc3f837

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.

The results in this page were generated with repository version fc3f837. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

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:    .Rproj.user/

Untracked files:
    Untracked:  GradPLog.Rproj
    Untracked:  analysis/2025.Rmd

Unstaged changes:
    Deleted:    analysis/2022.Rmd
    Modified:   analysis/_site.yml
    Deleted:    wflowr_template.Rproj

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.

There are no past versions. Publish this analysis with wflow_publish() to start tracking its development.

Add your weekly progress here

First progress

0. Syntax

Workflowr uses (R) markdown syntax. Please refer to markdown basic syntax here.

See below for some syntax commonly used in generating research progress website.

1. Plain text

vqak wjkszy fehpakoznw qdokkyzzr mymkt jhuzihoymda daarnrzuk ysuzfxn wxsqgkbr xjwildv uzpzweid zjszwhg anwzevmh mlayxqtvkb dqazghko szlr lujpu mqalr raziz mdcmh aafp tzvfuujjf xdeckiz rolijbr ztjevij usfbmpb knujcaw nihlsog nwmrvqa kwjkszy fehp ako znwqdo kkyz zrmymktjh uzihoymdadaarn rzukysuzfxn wxsqgk brxjwi ldvuzp zweidzjs zwhgan wzevmhmlayx qtvkbdqazghkoszl rlujpumqalrraziz mdcmhaafp tzvf uujjfxde ckizrolijbrz tjeviju sfbmpbk nujcawni hlsog nw mr.

2. Bullet points & numerized items

  • Bullet point 1

    • Bullet point 1.1

    • Bullet point 1.2

  • Bullet point 2

  1. Numerized item 1

    1. Numerized item 1.1

    2. Numerized item 1.2

  2. Numerized item 2

3. Insert figures

Way 1

Way 2

knitr::include_graphics(c("assets/logo.png"), error = FALSE)
Figure: Logo.

Figure: Logo.

4. Insert tables

  • By Markdown syntax
AAA 123
bbb
  • ccc: 123
  • ddd: 123
  • eee: 123
  • fff: 123
  • ggg: 123
  • By R script
res = data.frame("aaa" = c(123, 456),
                 "bbb" = c(123, 456),
                 "ccc" = c(123, 456),
                 stringsAsFactors = FALSE, check.names = FALSE)
knitr::kable(res)
aaa bbb ccc
123 123 123
456 456 456
  • By reading a file
res = read.table('./data/file_res.txt', header = TRUE, sep = "\t", stringsAsFactors = TRUE)
knitr::kable(res)
aaa bbb ccc
123 123 123
456 456 456

Another week

1. Analysis 1

Analysis

Figures, tables

Observations

2. Analysis 2


R version 4.2.2 (2022-10-31)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS Ventura 13.3.1

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/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] workflowr_1.7.1

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.12      highr_0.10       compiler_4.2.2   pillar_1.10.1   
 [5] bslib_0.5.0      later_1.3.1      git2r_0.33.0     jquerylib_0.1.4 
 [9] tools_4.2.2      getPass_0.2-4    digest_0.6.31    jsonlite_1.8.8  
[13] evaluate_0.21    lifecycle_1.0.4  tibble_3.2.1     pkgconfig_2.0.3 
[17] rlang_1.1.3      cli_3.6.2        rstudioapi_0.14  yaml_2.3.7      
[21] xfun_0.39        fastmap_1.1.1    httr_1.4.7       stringr_1.5.1   
[25] knitr_1.43       fs_1.6.2         vctrs_0.6.5      sass_0.4.6      
[29] rprojroot_2.0.4  glue_1.7.0       R6_2.5.1         processx_3.8.1  
[33] rmarkdown_2.22   callr_3.7.3      magrittr_2.0.3   whisker_0.4.1   
[37] ps_1.7.5         promises_1.2.0.1 htmltools_0.5.5  httpuv_1.6.11   
[41] stringi_1.8.4    cachem_1.0.8