bivariate: bivariate

In DataScienceSalon/xms: Extra-Marital Sex: Attitudes and Behaviors

Description

bivariate Performs bivariate analysis of two categorical variables. The analysis includes a chi-square test of association and difference in proportion tests for each level of the categorical explanatory variable, ordered by proportion.

Usage

bivariate(data, y, x, title, response = "c", success = "Non-Traditional",
  conf = 0.95, alpha = 0.05, alternative = "two.sided")

Arguments

data	Data frame containing response and explanatory variable
y	Character string description for the response variable
x	Character string description of the explanatory variable
title	Character string containing the plot title
response	Character string indicating whether the response is categorical or numeric c("c", "n")
success	Character string for the factor variable considered the success factor
conf	Numeric between 0 and 1 for the designated confidence level
alpha	Numeric between 0 and 1 for the probability of a type I error
alternative	Character string indicating whether the alternative hypothesis is "two.sided", "less", or "greater"

Author(s)

John James, [email protected]

See Also

Other xmar functions: analyze2DData, analyzeTrend, diffTest, multivariate, plotBars, plotDiffTest, plotLines, plotX2, preprocess, univariate, x2Test, x2TrendTest

DataScienceSalon/xms documentation built on May 28, 2019, 12:24 p.m.