Last updated: 2022-04-12

Checks: 1 1

Knit directory: Cystic-Fibrosis-and-Gut-Microbiome/

This reproducible R Markdown analysis was created with workflowr (version 1.7.0). 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: b3928a0

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 b3928a0. 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:    .RData
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/

Unstaged changes:
    Modified:   analysis/index.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/index.Rmd) and HTML (docs/index.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 b3928a0 Jie Zhou 2022-04-12 update
html b3928a0 Jie Zhou 2022-04-12 update
Rmd f041e9d Jie Zhou 2022-04-10 simplification
html f041e9d Jie Zhou 2022-04-10 simplification
Rmd f009522 Jie Zhou 2022-04-10 simplification
html f009522 Jie Zhou 2022-04-10 simplification
Rmd 4c6f5c1 Jie Zhou 2022-04-10 simplification
html 4c6f5c1 Jie Zhou 2022-04-10 simplification
Rmd 4eefd1f Jie Zhou 2022-04-10 delete Poisson model
html 4eefd1f Jie Zhou 2022-04-10 delete Poisson model
Rmd f478a7a Jie Zhou 2022-04-09 revision
html f478a7a Jie Zhou 2022-04-09 revision
Rmd d371491 Jie Zhou 2022-04-09 second commit
html d371491 Jie Zhou 2022-04-09 second commit
Rmd ff1ed0e Jie Zhou 2022-04-09 first commit
html ff1ed0e Jie Zhou 2022-04-09 first commit
Rmd 649e41a Jie Zhou 2022-04-09 update the url
html 649e41a Jie Zhou 2022-04-09 update the url
Rmd d113f67 Jie Zhou 2022-04-09 test
html d113f67 Jie Zhou 2022-04-09 test
Rmd a79d4c0 Jie Zhou 2022-04-09 microbe
html a79d4c0 Jie Zhou 2022-04-09 microbe

Statistical methods to study differential selection problems in cancer

Introduction

Introduction

Data Analysis

Principal component analysis of microbiome

PCA of relative abundance of microbiome