[R] How to create a new column based on the values from multiple columns which are matching a particular string?

Ana Marija @okov|c@@n@m@r|j@ @end|ng |rom gm@||@com
Mon Jul 29 20:05:35 CEST 2019


sorry my bad, here is the edited version:

so the data frame is this:

df=data.frame(
  eye_problemsdisorders_f6148_0_1=c("A","C","D",NA,"D","A","C",NA,"B","A"),
  eye_problemsdisorders_f6148_0_2=c("B","C",NA,"A","C","B",NA,NA,"A","D"),
  eye_problemsdisorders_f6148_0_3=c("C","A","D","D","B","A",NA,NA,"A","B"),
  eye_problemsdisorders_f6148_0_4=c("D","D",NA,"B","A","C",NA,"C","A","B"),
  eye_problemsdisorders_f6148_0_5=c("C","C",NA,"D","B","C",NA,"D","D","B")

and I would need to put inside the column which would be named "case" and
values inside would be: 1,1,0,1,1,1,0,0,1,1

so "case" column is where value "A" can be found in any column.

On Mon, Jul 29, 2019 at 12:53 PM Eric Berger <ericjberger using gmail.com> wrote:

> You may have a typo/misstatement in your question.
> You define a data frame with 5 columns, each of which has 10 elements, so
> your data frame has dimensions 10 x 5.
> Then you request a new COLUMN which will have only 5 elements, which is
> not allowed. All columns of a data frame
> must have the same length.
>
> On Mon, Jul 29, 2019 at 8:42 PM Ana Marija <sokovic.anamarija using gmail.com>
> wrote:
>
>> I have data frame which looks like this:
>>
>> df=data.frame(
>>   eye_problemsdisorders_f6148_0_1=c(A,C,D,NA,D,A,C,NA,B,A),
>>   eye_problemsdisorders_f6148_0_2=c(B,C,NA,A,C,B,NA,NA,A,D),
>>   eye_problemsdisorders_f6148_0_3=c(C,A,D,D,B,A,NA,NA,A,B),
>>   eye_problemsdisorders_f6148_0_4=c(D,D,NA,B,A,C,NA,C,A,B),
>>   eye_problemsdisorders_f6148_0_5=c(C,C,NA,D,B,C,NA,D,D,B))
>>
>> In reality I have much more columns and they don't always match
>> "eye_problemsdisorders_f6148" this string, and there is much more rows.
>>
>> What I would like to do is create a new column, say named "case" where I
>> would have value "1" for every row where string "A" appears at least once
>> in any column, if not the value would be "0". So in the above example
>> column "case" would have these values: 1,1,1,1,0
>> Thanks
>> Ana
>>
>>         [[alternative HTML version deleted]]
>>
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