Remove columns from dataframe where ALL values are NA, NULL or empty
This question already has an answer here:
We can use Filter
Filter(function(x) !(all(x=="")), df)
# Var1 Var3
#1 2R+ 52
#2 2R+ 169
#3 2R+ 83
#4 2R+ 98
#5 2R+ NA
#6 2R+ 111
#7 2R+ 94
#8 2R+ 116
#9 2R+ 86
NOTE: It should also work if all the elements are NA for a particular column
df$Var3 <- NA
Filter(function(x) !(all(x=="")), df)
# Var1
#1 2R+
#2 2R+
#3 2R+
#4 2R+
#5 2R+
#6 2R+
#7 2R+
#8 2R+
#9 2R+
Update
Based on the updated dataset, if we need to remove the columns with only 0 values, then change the code to
Filter(function(x) !(all(x==""|x==0)), df2)
# VAR1 VAR3 VAR4 VAR7
#1 2R+ 52 1.05 30
#2 2R+ 169 1.02 40
#3 2R+ 83 NA 40
#4 2R+ 98 1.16 40
#5 2R+ 154 1.11 40
#6 2R+ 111 NA 15
data
df2 <- structure(list(VAR1 = c("2R+", "2R+", "2R+", "2R+", "2R+", "2R+"
), VAR2 = c("", "", "", "", "", ""), VAR3 = c(52L, 169L, 83L,
98L, 154L, 111L), VAR4 = c(1.05, 1.02, NA, 1.16, 1.11, NA), VAR5 = c(0L,
0L, 0L, 0L, 0L, 0L), VAR6 = c(0L, 0L, 0L, 0L, 0L, 0L), VAR7 = c(30L,
40L, 40L, 40L, 40L, 15L)), .Names = c("VAR1", "VAR2", "VAR3",
"VAR4", "VAR5", "VAR6", "VAR7"), row.names = c("1", "2", "3",
"4", "5", "6"), class = "data.frame")
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