qualtricsColumns: qualtricsColumns

In mnblonsky/REMI: REMI: EMI Consulting's Internal R Package

Description

Runs a desired function on multiple columns of a data frame with similar column names (ex. Q1_1, Q1_2, ...). Defaults are useful for Qualtrics data structures.

Usage

qualtricsColumns(df, q, id, dfQuestions = NULL, category = "Category",
  func = NULL, remove = c(NA, NaN, NULL, "", "-99"), questionChar = "-",
  charInQ = 0, includeRespondent = FALSE, ...)

Arguments

df	main data frame
q	string representing question name (ex. "Q1_")
id	vector specifying columns (1,2,3...)
dfQuestions	data frame with same columns as df - contains question strings
category	name of category to print in final data
func	function to run on cleaned data. An example could be fixing text (removing a ":") or converting to a different class. Default is no function.
remove	vector of strings/objects to remove from each column (ex. NA, NaN)
questionChar	character to help specify data in the question. Default is "-", which Qualtrics uses to show the question options.
charInQ	number of times that questionChar shows up in the question.
includeRespondent	If true, adds a column to the output specifying the row from the original data frame.

Value

a data frame containing one row for each response that was not removed. The data frame can be quickly summarized or tabled, or graphed using EMI functions.

mnblonsky/REMI documentation built on May 23, 2019, 5:06 a.m.