surveyPivot: surveyPivot

In AMGold99/piperr: Speeds up Piper Center Analytics

surveyPivot

Description

Survey Pivot Function

Usage

surveyPivot(
  data,
  group_column = 1,
  response_column = 2,
  sep = ",",
  NAtoZero = TRUE,
  totals = TRUE,
  percent = TRUE
)

Arguments

data	Tidy dataframe (ideally of two columns) containing group variable (e.g., ethnicity) and response variable where each row is a unique respondent.
group_column	Column of the dataframe where the group variable resides. Defaults to 1.
response_column	Column of the dataframe where the response variable resides. Defaults to 2.
sep	Do you wish to save the plot output to the session directory? Default is FALSE
NAtoZero	Do you want NA values in the pivot table to be replaced with 0? Defaults to TRUE
totals	Do you want a column containing row sums across all groups? Defaults to TRUE.
percent	Do you want to view the results as group response rates to each selection? Defaults TRUE

Details

Creates pivot table from survey data containing irregular multiple responses. Input is clean dataframe containing a group variable (e.g., race/ethnicity) and a response variable (selected responses to a survey question).

Examples

# Basic example with all defaults unchanged
## Not run: 
survey_data <- data.frame(ethnicity = c('black','black','white','white','white'),
experience = c('I did','did not','did not','I did','did not'))
surveyPivot(survey_data)

# Adjusting defaults
surveyPivot(survey_data, group_column = 2, response_column = 1,
NAtoZero = FALSE, totals = FALSE, percent = FALSE)

## End(Not run)

AMGold99/piperr documentation built on March 29, 2022, 9:46 a.m.