I need to get the name of the columns that have at least 1 NA.
df<-data.frame(a=1:3,b=c(NA,8,6), c=c(\'t\',NA,7))
I need to get \"b, c\"
Try the data.table version:
library(data.table)
setDT(df)
names(df)[df[,sapply(.SD, function(x) any(is.na(x))),]]
[1] "b" "c"
Microbenchmarking using @akrun's code:
set.seed(49)
df1 <- as.data.frame(matrix(sample(c(NA,1:200), 1e4*5000, replace=TRUE), ncol=5000))
setDT(df1)
f1 <- function() {contains_any_na = sapply(df1, function(x) any(is.na(x)))
names(df1)[contains_any_na]}
f2 <- function() {colnames(df1)[!complete.cases(t(df1))] }
f3 <- function() { names(df1)[!!colSums(is.na(df1))] }
f4 <- function() { names(df1)[df1[,sapply(.SD, function(x) any(is.na(x))),]] }
microbenchmark(f1(), f2(), f3(), f4(), unit="relative")
# Unit: relative
# expr min lq median uq max neval
# f1() 1.000000 1.000000 1.000000 1.000000 1.000000 100
# f2() 10.459124 10.928821 10.955986 9.858967 7.069066 100
# f3() 3.323144 3.805183 4.159624 3.775549 2.797329 100
# f4() 10.108998 10.242207 10.121022 9.117067 6.576976 100
@agstudy : This solution is similar in speed to colnames(df1)[!complete.cases(t(df1))].