fetch_survey error: Error in mutate_impl(.data, dots) : Evaluation error: is.character(x) is not TRUE.

[DeFilippis]

I'm getting the following error when trying to import any qualtrics survey:

df <- fetch_survey(surveyID = "SV_0BYv2PmXgjW6szX",  
                       useLocalTime = TRUE, 
                       force_request = TRUE, 
                       uselabels = TRUE)

Error in mutate_impl(.data, dots) :
Evaluation error: is.character(x) is not TRUE.

Problem persists if doing it like so:

survey_info <- all_surveys()
df <- fetch_survey(surveyID = survey_info$id[14],  
                       useLocalTime = TRUE, 
                       force_request = TRUE, 
                       uselabels = FALSE)

Seems like nobody else has had a similar error. Any ideas?

[juliasilge]

Thanks so much for checking in with this problem @DeFilippis ! 🙌

This is actually related to a similar problem other folks are having with how readr::read_csv() is used under the hood here. I would love to dig in to find out what is happening here.

Can you run the following code and then email me (my address is in the DESCRIPTION file) the CSV file at the path you find? It will be a fairly raw, unprocessed CSV file, but that is the one that is causing problems with readr::read_csv(), apparently!

root_url <- qualtRics:::append_root_url(Sys.getenv("QUALTRICS_BASE_URL"), "responseexports")
raw_payload <- qualtRics:::create_raw_payload(
    surveyID = <YOUR SURVEY ID HERE>,
    label = TRUE,
    last_response = NULL,
    start_date = NULL,
    end_date = NULL,
    unanswer_recode = NULL,
    limit = NULL,
    local_time = FALSE,
    include_questions = NULL
  )
res <- qualtRics:::qualtrics_api_request("POST", url = root_url, body = raw_payload)
ID <- res$result$id
survey.fpath <- qualtRics:::download_qualtrics_export(paste0(root_url, ID), verbose = TRUE)
survey.fpath

[juliasilge]

I've been doing a bit more digging into this @DeFilippis and am starting to suspect the function that does conversion of data types.

Are you still getting this error, after updating to the latest versions on CRAN of tidyverse and qualtRics? Can you tell me if you get the error with both or just one of the following ways of using this package?

survey1 <- fetch_survey(surveyID = <YOUR SURVEY ID>, convert = TRUE)
survey2 <- fetch_survey(surveyID = <YOUR SURVEY ID>, convert = FALSE)

[DeFilippis]

Hey Julia, Sorry for the delay in getting back to you. I've been swamped with finals. I can confirm that the error persists in the latest development version of qualtRics. However, GOOD NEWS: the line with "convert = FALSE" no longer throws the error, so that is a successful workaround. Thanks!

…

On Sat, May 11, 2019 at 10:21 PM Julia Silge ***@***.***> wrote: I've been doing a bit more digging into this @DeFilippis <https://github.com/DeFilippis> and am starting to suspect the function that does conversion of data types. Are you still getting this error, after updating to the latest versions on CRAN of tidyverse and qualtRics? Can you tell me if you get the error with both or just one of the following ways of using this package? survey1 <- fetch_survey(surveyID = <YOUR SURVEY ID>, convert = TRUE)survey2 <- fetch_survey(surveyID = <YOUR SURVEY ID>, convert = FALSE) — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#114 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AACLNQYVU23DH77PBQPVWALPU55LPANCNFSM4HJL257A> .

[juliasilge]

OK, this means that the error is coming from the infer_data_types() function, which I will now set aside some time to fix.

Thank you so much for checking! 🙌

[juliasilge]

Today I rewrote infer_data_types() in a way that I hope solves this problem. 🤞

Do you want to try installing this package from GitHub and then using fetch_survey() with convert = TRUE? You should no longer see the error.

remotes::install_github("ropensci/qualtRics")

[juliasilge]

I believe this error is now fixed in the development version. File a new issue with details if you still are having problems! ✨