KnowledgeHub
Questions
Tags
Users
Search
Alex Rivera
|
Logout
Edit Question
Title
Body
Cor.test() takes vectors x and y as arguments, but I have an entire matrix of data that I want to test, pairwise. Cor() takes this matrix as an argument just fine, and I'm hoping to find a way to do the same for cor.test() . The common advice from other folks seems to be to use cor.prob() : https://stat.ethz.ch/pipermail/r-help/2001-November/016201.html But these p-values are not the same as those generated by cor.test() !!! Cor.test() also seems better equipped to handle pairwise deletion (I have quite a bit of missing data in my data set) than cor.prob() . Does anybody have any alternatives to cor.prob() ? If the solution involves nested for loops, so be it (I'm new enough to R for even this to be problematic for me).
Tags (comma-separated)
Save Edits
Cancel