File Exchange

image thumbnail

Correlation Matrix Scatterplot

version 2.0.0.01 (3.36 KB) by John Chow
Produces a correlation matrix scatterplot with least-squared fitted lines.

25 Downloads

Updated 05 May 2020

View Version History

View License

This function creates multiple bivariate scatterplots similar to SPSS's Matrix Scatterplot but without duplicate relationships. A linear fitted line, the correlation coefficient and the associated p-value are included in each plot. It is helpful when you want to explore the relationships among several variables.

Cite As

John Chow (2021). Correlation Matrix Scatterplot (https://www.mathworks.com/matlabcentral/fileexchange/53043-correlation-matrix-scatterplot), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (12)

Wei Sheng Gan

Simple and useful! thanks

John Chow

I have revised the program in respond to the comments by Christian Karcher and Robyn Feiss.

Robyn Feiss

This worked great, but would not plot the fitted lines. I believe it is because I have NaN values in my dataset. Is there anyway to ignore the NaNs when plotting the fitted lines?

Saurav Kumar

Very useful. Thanks for sharing!

JCanal

Indeed a simple and useful function. Thanks!

Christian Karcher

Some minor adjustments were required to get it working without the statistics toolbox (corrcoef instead of corr, max()-min() instead of range()), but afterwards it produced the desired output. Thanks!

John Chow

@Thomas Have you tried the sample at the top of the codes. I just downloaded the program and processed the sample data and ended up with a figure the same as the cover figure. Note: There should be a '%' before 'orient tall' on line 17.) Feel free to send me your data in XLS for me to try if you are still having problems.

Thomas Morrow

p-value calculation appears incorrect, getting p=0.000 for data with little to no correlation.

p-values for negatively correlated variables (negative coefficient) is always 0.

Thomas Morrow

p-value calculation appears incorrect, getting p=0.000 for data with little to no correlation.

Thomas Morrow

Thomas Morrow

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: tight_subplot(Nh, Nw, gap, marg_h, marg_w)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!