I have a dataframe where most of the column names are as below:
tre_ui_1920
tre_ui_2221
tre_ui_8989
and something like
foo_bar_123
foo_bar_456
I want to delete all the columns belonging to foo_bar_*
and tre_ui_*
I have seen few codes in R which suggest to use subset and indexing. Is there any better way to do this?
We can use grepl
to return a logical index based on the patterns in the column names
i1 <- !grepl("foo_bar_|tre_ui_", names(df1))
subdf1 <- df1[i11]
这很容易在dplyr
完成:
dat %>% select(matches("foo_bar_|tre_ui_"))
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