correlation - Case wise delete of values inside cor() in R -


consider following survey data:

data <- replicate(10 ,sample(c(1,2,3,4), 1000, replace = true)) %>%   as.data.frame()

v1:v9 variables 1 = "good", 2 = "okey" , 3 = "not good" , 4 = "don't know" while v10 ordinal variable 1 = "good", 2 = "not good", 3 = "don't know" , 4 = "don't want answer".

i interested in calculating simple correlation matrix using cor() on these variables. however, want calculate between values mean something. is, 1,2,3 v1:v9 , 1,2 v10.

in other words, want case wise delete of value > 3 v1:v9 , same values > 2 v10 within cor() function.

this similar use argument?

the way have managed solve mutating these values na.

library("dplyr") data_test <- data_test %>%       mutate_each(funs(ifelse(. > 3, na, .)), -v10) %>%       mutate(ifelse(v10 > 2, na, v10))  cor(data_test, use = "complete.obs")

but there better way not rely on modifying data.

ps. there are, of course, more adequate ways of calculating correlation between ordinal variables.

the answer question more simple thought.

as @zx8754 points out should careful when choosing correlation method categorical variables.

anyways, change use = "pairwise.complete.obs" in cor()

however, still need mutate 4 na.


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