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Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
1
vote
r cor spearman handle missing value
Use:
library(Hmisc)
rcorr(as.matrix(data), type="spearman")
But I have used in the past. Cant try right now since I'm at lunch. EDIT: This worked for me.
cor(data, method = 'spearman', use='pairw …
0
votes
Accepted
How to find the most sensitive parameter to an output?
You wonder why the R-squared is the highest for the model with all four parameter? While the "Deck" has the highest beta-value when its the single predictor? … Second The R-squared doesn't get penalized for adding predictors, since every new predictor removes unexplained variance. Adjusted R-squared takes this into account. …