Clash Royale CLAN TAG#URR8PPP

rcorr gives error where cor works perfectly (need p-values for correlation matrix)

I need to get p-values for my correlation matrix that I created using cor. Strangely when I use rcorron the same data I get the following error:

cor

rcorr

Error in storage.mode(x) <- "double" :
(list) object cannot be coerced to type 'double'


Any suggestions?

below is my code for creating the correlation matrix(that gives error):

library(Hmisc)

corr < rcffull[,c("liwc_WC","liwc_informal","liwc_male",
"liwc_female","liwccsr_csrdic","liwc_negemo",
"liwc_posemo","liwc_risk")]
rcorr(corr)


this one is the one that works, but I don't get p-values:

cor(corr, use="complete.obs")


Hmisc::rcorr

library()

1 Answer
1

Hmisc::rcorr expects the input to be a matrix and will not automatically convert dataframes, even when they are all numeric. So you should just be able to call as.matrix() on your input, e.g.

Hmisc::rcorr

matrix

as.matrix()

x <- c(-2, -1, 0, 1, 2)
y <- c(4, 1, 0, 1, 4)
z <- c(1, 2, 3, 4, NA)
v <- c(1, 2, 3, 4, 5)

df = data.frame(x, y, z, v)

# Fails with the same error as in the question
Hmisc::rcorr(df)
# Succeeds
Hmisc::rcorr(as.matrix(df))


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