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#' @title get_survey_data
#'
#' @description Get collected data from a specific survey on the connected
#' `LimeSurvey` instance.
#' Includes complete and incomplete cases!
#' Returns `NULL` if no data has been collected in this survey.
#'
#' @param survey_id ID of the survey from which the collected data shall be
#' extracted.
#' 6-digit integer.
#'
#' @param completion_status 'complete' = Return only complete cases;
#' 'incomplete' = Return only incomplete cases; 'all' = Return both.
#'
#' @return A `data.frame` object containing the survey data.
#' Column names follow a dot-based naming scheme:
#' <group title>.<subquestion title>.
#' `NULL` if no data has been collected.
#'
#' @examples
#' # This example assumes a locally hosted `LimeSurvey` instance using a locally
#' # hosted MySQL server.
#' # On this `LimeSurvey` instance, there is a survey with the ID 123456.
#' \dontrun{
#' connect_to_limesurvey(
#' api_url = 'https://localhost/index.php/admin/remotecontrol',
#' limesurvey_username = 'admin',
#' limesurvey_password = '1234admin',
#' mysql_host = '127.0.0.1',
#' mysql_port = 3306,
#' mysql_dbname = 'limesurvey',
#' mysql_table_prefix = '',
#' mysql_username = 'lime',
#' mysql_password = '1234lime'
#' )
#'
#' df_data <- get_survey_data(123456)
#' }
#'
#' @export
get_survey_data <- function(
survey_id,
completion_status = 'all'
) {
if (!exists('limesurvey_session_key', envir = ipanema_cache)) {
stop(paste0(
'You need to call `connect_to_limesurvey()` before calling any other ',
'ipanema functions.'
))
}
params <- list(
iSurveyID = survey_id,
sDocumentType = 'csv',
sLanguageCode = NULL,
sCompletionStatus = completion_status,
sHeadingType = 'code',
sResponseType = 'short'
)
results <- limesurvey_api_call(
method = 'export_responses',
params = params
)
df_raw <- tryCatch({
base64_to_df(
unlist(
results
)
)
}, error = function(e) {
message('Returning NULL because no data has been collected by this survey')
NULL
})
if (is.null(df_raw)) {
return(NULL)
}
# Remove trailing dots from item columns
names(df_raw) <-
names(df_raw) %>%
sapply(function(colname) {
if(endsWith(colname, '.')) {
substring(colname, 1, nchar(colname) - 1)
} else {
colname
}
})
df_tidy <- fix_column_data_types(df_raw)
return(df_tidy)
}
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