Hi Alison, So, if you want to create a correlation matrix, then I recommend you check out the rcorr function in the Hmisc package cran.r-project.org/web/packages/Hmisc/Hmisc.pdf. This performs a correlation matrix and reports p values, as well as coefficient values. I hope that helps. Steven
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Thanks a ton for the simple and easy explanation! Helped more than you know!
You're welcome!
great, simple and easy to understand presentation
Damn em sooo sooo happy, i spent couple of hrs looking for this solution thank you
Clear explanation, thanks!
Very welcome David
your video was super helpful but what if we have to compute multiple variables how can we do that ??
Hi Alison,
So, if you want to create a correlation matrix, then I recommend you check out the rcorr function in the Hmisc package cran.r-project.org/web/packages/Hmisc/Hmisc.pdf. This performs a correlation matrix and reports p values, as well as coefficient values.
I hope that helps.
Steven
What about the data set will it be even in our R studio
What about the assumption on the test? Normal data distribution, independency etc...?
Hi
How do calculate in rstudio, sample estimate when we have than 2 variables.
What if I have 100 different trees to get correlation for? Do I have to run it for each tree or can it run for all trees at one time?