desCompareIndTwoGroups: Describe and Compare Two Independent Groups

In LeiGuo0812/lightStat: Provide easy to read and use results of common statistic analysis.

Description

gives a easy-to-read result of two independent group description and comparison analysis.

Usage

desCompareIndTwoGroups(data, columns, group, ci = FALSE, n = 1000)

Arguments

data	a data.frame or tibble
columns	dependent variables needed to be test, could be either string or column index
group	the grouping variable, could be either string or column index
ci	a logical. Determine whether the ci of effect size should be calculated. Default is False
n	The number of replications to use for bootstrap to Calculate ci of effect size, default is 1000 (larger number will be very time-consuming).

Details

The comparison is based on the normality and variance quality. If the data don't meet normality, Mann-Whitney test will be conducted. Otherwise the student t-test would be conducted.

Value

a data frame that contains description and comparison results.

• y: The dependent variable

• group: The name of group

• n: The number of sample in group used in the test

• mean: mean of tested dependent variable

• sd: standard deviation of tested dependent variable

• median: median of tested dependent variable

• groupx_q1: first quantile of tested dependent variable

• groupx_q3: third quantile of tested dependent variable

• mad: median absolute deviation (see ?MAD)

• effect.size: if method is t-test, calculate cohen's d effect size.If the t-test did not make a homogeneity of variance assumption, (the Welch test), the variance term will mirror the Welch test, otherwise a pooled estimate is used. Interpretation: 0.2 (small effect), 0.5 (moderate effect) and 0.8 (large effect). If method is Mann-Whitney,Wilcoxon effect size (r) will be calculated. Interpretation: 0.10 - < 0.3 (small effect), 0.30 - < 0.5 (moderate effect) and >= 0.5 (large effect).

• effect.conf.low,effect.conf.high: lower and upper bound of the effect size confidence interval.

Examples

data("mtcars")
desCompareIndTwoGroups(data = mtcars, columns = -8, group = 8)

LeiGuo0812/lightStat documentation built on June 27, 2021, 9:17 p.m.