I have a correlation matrix that I put in a dataframe like so:
row | var1 | var2 | cor
1 | A | B | 0.6
2 | B | A | 0.6
3 | A | C | 0
Here's one way with tidyverse -
dat2 <- dat %>%
filter(!duplicated(paste0(pmax(var1, var2), pmin(var1, var2))))
# A tibble: 2 x 3
var1 var2 cor
1 A B 0.600
2 A C 0.400
Data -
dat <- data_frame(
var1 = LETTERS[c(1,2,1,3)],
var2 = LETTERS[c(2,1,3,1)],
cor = c(0.6,0.6,0.4,0.4))
Note: cleaned up the logic thanks to @tmfmnk