excluder (version 0.5.1)

mark_progress: Mark survey progress

Description

The mark_progress() function creates a column labeling rows that have incomplete progress. The function is written to work with data from Qualtrics surveys.

Usage

mark_progress(
  x,
  min_progress = 100,
  id_col = "ResponseId",
  finished_col = "Finished",
  progress_col = "Progress",
  rename = TRUE,
  quiet = FALSE,
  print = TRUE
)

Value

An object of the same type as x that includes a column marking rows that have incomplete progress. For a function that checks for these rows, use check_progress(). For a function that excludes these rows, use exclude_progress().

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 rename_columns())

quiet

Logical indicating whether to print message to console.

print

Logical indicating whether to print returned tibble to console.

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.

See Also

Other progress functions: check_progress(), exclude_progress()

Other mark functions: mark_duplicates(), mark_duration(), mark_ip(), mark_location(), mark_preview(), mark_resolution()

Examples

# Mark rows with incomplete progress
data(qualtrics_text)
df <- mark_progress(qualtrics_text)

# Remove preview data first
df <- qualtrics_text %>%
  exclude_preview() %>%
  mark_progress()

# Include a lower acceptable completion percentage
df <- qualtrics_numeric %>%
  exclude_preview() %>%
  mark_progress(min_progress = 98)