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A python script to automate the production of R Markdown scripts for Pearson's Correlation reporting

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corrSemiauto

A python script to automate the production of R Markdown scripts for Pearson's Correlation reporting

Repository files

  1. corr.py
  2. Estimating.xlsx
  3. example.xlsx
  4. StepByStep.pptx

Step By Step

  1. Edit the corr.py file in the locations indicated in the script comments
  2. Run the corr.py file and a .txt file will be generated with the necessary information for the wheels in Rstudio
  3. In Rstudio:
    1. Open a new R Markdown file
    2. Erase everything that was generated
    3. Paste the text from the .txt file
    4. Run

At the end

  1. A .docx file with
    1. Your data list
    2. A correlation matrix in numbers
    3. A graphical correction matrix
    4. And the significance of each of the tested correlations
  2. An .xlsx file
    1. With the correlation table generated

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A python script to automate the production of R Markdown scripts for Pearson's Correlation reporting

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