Last updated: 2024-09-10

Checks: 2 0

Knit directory: My_Project/

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: 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.

Repository version: 166be7f

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 166be7f. 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:    .Rhistory
    Ignored:    .Rproj.user/

Untracked files:
    Untracked:  .Rapp.history
    Untracked:  .gitignore
    Untracked:  Stats.Rmd
    Untracked:  Stats.html
    Untracked:  data/.DS_Store
    Untracked:  data/COADREAD.clin.merged.picked.txt
    Untracked:  data/COADREAD.rnaseqv2__illuminahiseq_rnaseqv2__unc_edu__Level_3__RSEM_genes_normalized__data.data.txt

Unstaged changes:
    Modified:   .DS_Store
    Modified:   analysis/.DS_Store
    Deleted:    myproject.zip

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
html c3ff74c oliverdesousa 2024-09-10 Build site.
Rmd 5e763e5 oliverdesousa 2024-09-10 Start my new project
Rmd b77ee0a oliverdesousa 2024-09-06 Files
html b77ee0a oliverdesousa 2024-09-06 Files

This site is designed to provide you with valuable insights and hands-on experience through a series of detailed modules. Each module covers a different aspect of data science, from foundational concepts to advanced techniques.

Discover unsupervised learning methods. This module focuses on techniques for identifying patterns and structures in unlabeled data, including clustering and dimensionality reduction.

Feel free to navigate through the modules using the links above to gain a deeper understanding of each topic. Whether you’re new to data science or looking to refine your skills, this site offers a wealth of information and practical exercises to enhance your knowledge.