Last updated: 2021-06-22

Checks: 1 1

Knit directory: QGT-Columbia-lab/

This reproducible R Markdown analysis was created with workflowr (version 1.6.2). 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 file has unstaged changes. 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.

Repository version: 383c29f

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 383c29f. 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:    .DS_Store
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/
    Ignored:    extras/.DS_Store

Unstaged changes:
    Modified:   analysis/2021_analysis_plan.Rmd
    Modified:   analysis/index.Rmd
    Modified:   analysis/todo-list.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.

These are the previous versions of the repository in which changes were made to the R Markdown (analysis/todo-list.Rmd) and HTML (docs/todo-list.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
Rmd 24a96e2 meliao 2020-06-12 Changed google drive link
Rmd 599cadd Hae Kyung Im 2020-06-12 knitted
html 599cadd Hae Kyung Im 2020-06-12 knitted
Rmd c598730 meliao 2020-06-11 New google sheets link
Rmd 45ac844 meliao 2020-06-11 Finished with SORT1 TWMR data generation
html 9ecb8c9 Hae Kyung Im 2020-06-11 knit
Rmd 3c3e1a7 Hae Kyung Im 2020-06-11 todos
html 3c3e1a7 Hae Kyung Im 2020-06-11 todos
Rmd f1f968a Hae Kyung Im 2020-06-11 todo update
html f1f968a Hae Kyung Im 2020-06-11 todo update
Rmd 7b60359 Hae Kyung Im 2020-06-11 updated todo
html 7b60359 Hae Kyung Im 2020-06-11 updated todo
Rmd 9cd6fb6 Hae Kyung Im 2020-06-11 updated todo
html 9cd6fb6 Hae Kyung Im 2020-06-11 updated todo
Rmd 5d3a4e8 Hae Kyung Im 2020-06-10 typo ugh..
html 5d3a4e8 Hae Kyung Im 2020-06-10 typo ugh..
Rmd 68910e2 Hae Kyung Im 2020-06-10 todo list
html 68910e2 Hae Kyung Im 2020-06-10 todo list
Rmd a108ccf Hae Kyung Im 2020-06-10 link fix

TODO list

Right before the QGT session

  • instantiate 35+ R Studio servers in GCP introstatgen project

  • get list of students

  • Create google sheet with list of students, Rstudio server IP addresses, and questions (use example 2021)

  • Google cloud machines

    • create shell script and test
    • test removing all instances
    • on the day of training, start $N_students instances
    • add ip address to the google sheet (link)
    • at the end of the day, set them to sleep
    • next day, delete all of them unless someone asks to keep it up longer

  • ask canvas access for TAs: Natasha and Festus

  • edit list of questions

lower priority TODO list

  • update R of the Rstudio server