univariateQual: univariateQual

In DataScienceSalon/Bayesian-Regression: Bayesian Linear Regression and Default Priors

Description

univariateQual Performs univariate analysis on a group of dichotomous qualitative variables with uniform category levels. The function returns a combined contingency table for all groups and categories, as well as a stacked bar plot showing frequencies and percentages of categories for each group.

Usage

univariateQual(data, type = "dichotomous", groups, xLab, yLab = NULL,
  plotTitle = NULL)

Arguments

data	Wide data frame containing: Character string containing the grouping variale Character string containing the category level Numeric containing the frequencies by category level Numeric indicating the proportions by category level Numeric containing the cumulative proportion by group and category level pos the vertical position of the labels on the bars
type	Character string indicating whether data is dichotomous, ordinal, or nominal
groups	Character vector containing the group names to be rendered along the x-axis
xLab	Character string containing the label for the x-axis
yLab	Character string indicating the label for the y-axis
plotTitle	Character string indicating the plot title.

Value

analysis List containing: 1. Contingency table 2. Stacked Frequency Proportion Barplot

Author(s)

John James, [e-mail]

See Also

Other EDA functions: bivariateQual, bivariateQuant, bivariate, univariateQuant, univariate

DataScienceSalon/Bayesian-Regression documentation built on May 29, 2019, 12:06 a.m.