[R Survey Analysis] Problem counting number of responses
Hi Lauren, I'm not entirely sure what your sample code is suppoesd to do, since it isn't complete R code, and it would be much easier to answer your question if you provided sample data and didn't post in HTML. dput(head(survey)) would be enough sample data, most likely. But if I'm understanding correctly, nanswered <- rowSums(survey != 0) will give you for each respondent the number of questions answered. or if they're actually NA instead of 0 nanswered <- rowSums(!is.na(survey)) then you can look at the distribution of those values, and use that vector with subset() to get the population that answered all of your questions. The advantage of this approach is that you don't have to list each question individually, in case you have lots. Sarah
On Tue, Aug 16, 2016 at 2:51 PM, Lauren Bolger <lebolger at gmail.com> wrote:
M y dataset includes a survey completed by research participants to evaluate quality of life. A few things regarding the survey: - *not all questions must be answered for the total score * - questions left blank are coded as "0" - the number of questions answered must be determined in order to compute the total score *Sample Code*
q1 <- ifelse(is.na(survey, 0, survey$q1)
q2 <- ifelse(is.na(survey, 0, survey$q2)
q3 <- ifelse(is.na(survey, 0, survey$q3)
survey$sum.survey <- q1 + q2 + q3
survey$responses <- # HELP ?????
*> # HELP PART 1 ------------------------------* *> # need help determining number of questions the respondents answered*
*# HELP PART 2 -------------------------------*
*> # I want to look at the subset of the population that completed all the
questions*
Thanks for your help!! It means a lot :)
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Sarah Goslee http://www.functionaldiversity.org