I have data from an online survey where respondents go through a loop of questions 1-3 times. The survey software (Qualtrics) records this data in multiple columns—that is,
In case you are like me, and cannot work out how to use "regular expression with capturing groups" for extract
, the following code replicates the extract(...)
line in Hadleys' answer:
df %>%
gather(question_number, value, starts_with("Q3.")) %>%
mutate(loop_number = str_sub(question_number,-2,-2), question_number = str_sub(question_number,1,4)) %>%
select(id, time, loop_number, question_number, value) %>%
spread(key = question_number, value = value)
The problem here is that the initial gather forms a key column that is actually a combination of two keys. I chose to use mutate
in my original solution in the comments to split this column into two columns with equivalent info, a loop_number
column and a question_number
column. spread
can then be used to transform the long form data, which are key value pairs (question_number, value)
to wide form data.