I have a data like this
mydf<- structure(list(rn = c("AAAA", "CDSD", "HUMN", "AAAA", "CRAT",
"CAMSAP3", "RRR", "RRR", "AAAA", "AAAA", "NPRL2", "CDSD", "RAD18",
"THAL", "BRO"), values = c(0.744760161, 0.741827081, 0.737886634,
0.72658262, 0.71792587, 0.71787455, 0.674992626, 0.674716174,
0.670139778, 0.668368874, 0.668332846, 0.663282622, 0.659781148,
0.656606592, 0.656403592)), class = "data.frame", row.names = c(NA,
-15L))
I am trying to remove those that are repeated 1 time and keep those that are more than once based on r column
I was trying something like this
mydf$value_count <- rowSums(!is.na(mydf[-1]))
mydf2 <- df[df$value_count > 1,]
I cannot figure it out