Hi Bert
The issue is that I have around 2000 columns so I can not be checking if
those two are not present in each column of any row “by hand” so to
speak....And I need my output to be a data frame where neither E102 nor
E112 are present. Basically from the data frame columns that I already
created just remove any row that contains any of those variables.
Thanks
Ana
On Wed, 3 Jun 2020 at 11:00, Bert Gunter <bgunter.4...@gmail.com> wrote:
> I suggest that you forget all that fancy stuff (and this is not a use
> case for regular expressions).
> Use %in% with logical subscripting instead -- basic R functionality that
> can be found in any good R tutorial.
>
> > x <- c("ab","bc","cd")
> > x[x %in% c("ab","cd")]
> [1] "ab" "cd"
> > x[!x %in% c("ab","cd")]
> [1] "bc"
>
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On Wed, Jun 3, 2020 at 7:56 AM Ana Marija <sokovic.anamar...@gmail.com>
> wrote:
>
>> Hello.
>>
>> I am trying to filter only rows that have ANY of these variables:
>> E109, E119, E149
>>
>> so I did:
>> controls=t %>% filter_all(any_vars(. %in% c("E109", "E119","E149")))
>>
>> than I checked what I got:
>> > s0 <- sapply(controls, function(x) grep('^E10', x, value = TRUE))
>> > d0=unlist(s0)
>> > d10=unique(d0)
>> > d10
>> [1] "E10" "E103" "E104" "E109" "E101" "E108" "E105" "E100" "E106" "E102"
>> [11] "E107"
>> s1 <- sapply(controls, function(x) grep('^E11', x, value = TRUE))
>> d1=unlist(s1)
>> d11=unique(d1)
>> > d11
>> [1] "E11" "E119" "E113" "E115" "E111" "E114" "E110" "E118" "E116" "E112"
>> [11] "E117"
>>
>> I need help with changing this command
>> controls=t %>% filter_all(any_vars(. %in% c("E109", "E119","E149")))
>>
>> so that in the output I do not have any rows that include E102 or E112?
>>
>> Thanks
>> Ana
>>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>
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