Rows where all the values are 1. I wish to remove all such rows.
As these are 1s and 0s, an option is also with pmin
df[!do.call(pmin, df),]
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10
2 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 0 0
7 0 0 0 0 0 0 0 0 0 0
8 0 0 0 0 0 0 0 0 0 0
Or using all
with apply
(less efficient)
df[!apply(df, 1, all),]
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10
2 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 0 0
7 0 0 0 0 0 0 0 0 0 0
8 0 0 0 0 0 0 0 0 0 0