Revisions to Drop data frame columns by name

formatting

Source Link

edited Apr 8, 2018 at 1:02

There's also the subset command, useful if you know which columns you want:

df <- data.frame( a = 1:10, b = 2:11, c = 3:12 )
df <- subset(df, select = c(a, c))

UPDATED after comment by @hadley: To drop columns a,c you could do:

df <- subset(df, select = -c(a, c) )

There's also the subset command, useful if you know which columns you want:

df <- data.frame( a = 1:10, b = 2:11, c = 3:12 )
df <- subset(df, select = c(a,c))

UPDATED after comment by @hadley: To drop columns a,c you could do:

df <- subset(df, select = -c(a,c) )

There's also the subset command, useful if you know which columns you want:

df <- data.frame(a = 1:10, b = 2:11, c = 3:12)
df <- subset(df, select = c(a, c))

UPDATED after comment by @hadley: To drop columns a,c you could do:

df <- subset(df, select = -c(a, c))

updated based on @hadley's comment

Source Link

edited Jan 5, 2011 at 18:37

There's also the subset command, useful if you know which columns you want:

df <- data.frame( a = 1:10, b = 2:11, c = 3:12 )
df <- subset(df, select = c(a,c))

UPDATED after comment by @hadley: To drop columns a,c you could do:

df <- subset(df, select = -c(a,c) )

There's also the subset command, useful if you know which columns you want:

df <- data.frame( a = 1:10, b = 2:11, c = 3:12 )
df <- subset(df, select = c(a,c))

There's also the subset command, useful if you know which columns you want:

df <- data.frame( a = 1:10, b = 2:11, c = 3:12 )
df <- subset(df, select = c(a,c))

UPDATED after comment by @hadley: To drop columns a,c you could do:

df <- subset(df, select = -c(a,c) )

Source Link

answered Jan 5, 2011 at 14:52

There's also the subset command, useful if you know which columns you want:

df <- data.frame( a = 1:10, b = 2:11, c = 3:12 )
df <- subset(df, select = c(a,c))

Return to Answer