I think what you have done should be fine. read.table() will return a
data frame, which cor() can handle happily. For example:
my.data <- read.table("file.csv", header = TRUE, row.names = 1,
sep=",", strip.white = TRUE) # assign your data to "my.data"
cor(my.data) # calculate the correlation matrix between all variables
(columns) of my.data
What happens if you try that?
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