exclude_progress {excluder} | R Documentation |
Exclude survey progress
Description
The exclude_progress()
function removes
rows that have incomplete progress.
The function is written to work with data from
Qualtrics surveys.
Usage
exclude_progress(
x,
min_progress = 100,
id_col = "ResponseId",
finished_col = "Finished",
progress_col = "Progress",
rename = TRUE,
quiet = TRUE,
print = TRUE,
silent = FALSE
)
Arguments
x |
Data frame (preferably imported from Qualtrics using {qualtRics}). |
min_progress |
Amount of progress considered acceptable to include. |
id_col |
Column name for unique row ID (e.g., participant). |
finished_col |
Column name for whether survey was completed. |
progress_col |
Column name for percentage of survey completed. |
rename |
Logical indicating whether to rename columns (using |
quiet |
Logical indicating whether to print message to console. |
print |
Logical indicating whether to print returned tibble to console. |
silent |
Logical indicating whether to print message to console. Note this argument controls the exclude message not the check message. |
Details
Default column names are set based on output from the
qualtRics::fetch_survey()
.
The default requires 100% completion, but lower levels of completion
maybe acceptable and can be allowed by specifying the min_progress
argument.
The finished column in Qualtrics can be a numeric or character vector
depending on whether it is exported as choice text or numeric values.
This function works for both.
The function outputs to console a message about the number of rows that have incomplete progress.
Value
An object of the same type as x
that excludes rows
that have incomplete progress.
For a function that checks for these rows, use check_progress()
.
For a function that marks these rows, use mark_progress()
.
See Also
Other progress functions:
check_progress()
,
mark_progress()
Other exclude functions:
exclude_duplicates()
,
exclude_duration()
,
exclude_ip()
,
exclude_location()
,
exclude_preview()
,
exclude_resolution()
Examples
# Exclude rows with incomplete progress
data(qualtrics_text)
df <- exclude_progress(qualtrics_text)
# Remove preview data first
df <- qualtrics_text %>%
exclude_preview() %>%
exclude_progress()
# Include a lower acceptable completion percentage
df <- qualtrics_numeric %>%
exclude_preview() %>%
exclude_progress(min_progress = 98)
# Do not print rows to console
df <- qualtrics_text %>%
exclude_preview() %>%
exclude_progress(print = FALSE)