Visualization of correlation matrix in R | ggcorrplot tutorial | ggplot2 extension | R Tutorial
ฝัง
- เผยแพร่เมื่อ 8 ก.ค. 2024
- In this video, we will take a quick look at the 'ggcorrplot' package and see how to use it and visualize a correlation matrix.
mtcars dataset used for demonstration purpose.
Items covered :
- Visualize correlation matrix (square and circle methods)
- hc-order method
- formatting correlation coefficient labels on the plot (changing color and size)
- Adding ggplot themes
- changing legend colors
- Layout types - lower & upper
- Reflecting & dropping insignificant coefficients basis comparision of p-values and significance levels
Link to the github gist :
gist.github.com/aagarw30/208e...
array mere pyaare bhartiya nagrik
Super useful and clear. Many thanks
Thank you, very clear and informative.
Excellent explanation!
Thanks for commenting!
Thanks this helped me a lot with my assignment
Glad it helped! Share with others so they can benefit. Happy learning!
well explanation, thanks for uploading
You are welcome!
Thank you for the nice presentation, I would like to put p values as Asterix in the correlogram instead of crosses or white ?
Helpful
Most excellent tutorial! Can you show please how to create a Geom Smooth plot with double (supplementary) Y axis? Also, non linear regression would be great! Thanks in advance amigo!! ❤️🇲🇽❤️
Claro que si, muchas gracias para commentario senor! Salud de la India.
for correlation plot are all variables required to be numeric..
Thanks for the explanation! I don't understand what is the meaning of the size of the circle? Do they have the same meaning as the color scale? Because I see very small red circle which would mean that the size and the colors are not matching.
Red shows negative correlation and dark blue positive correlation. The intensity of color and the size shows the strength of correlation.
Is it possible to change to spearman correlation?
how can we combine two plots in a single ? suppose I have correlation matrix for cases and controls , now I want to make a single plot showing its upper part for cases and lower for controls or vice versa
I am sorry. Didn’t get the question. Could you pls elaborate so I can try helping? Ty Abi
Thanks so much for reply and this amazing tutorial@@abhinavagrawal6317 . I am trying to explain the question; I have a cohort of case and a cohort of control with their gene expression data. Now, I want to make correlation matrix for a set of gene for cases and same for the controls for the same set of genes. Now I want to plot them under same x and y axis in one plot of which the upper part of the plot would be for cases and the lower part would be for controls. Thanks