analyse_indicator: Complete analysis for one hypothesis

In mabafaba/hypergrammaR:

Description

Produce summary statistics, hypothesis tests and plot objects for a hypothesis

Usage

analyse_indicator(data, dependent.var, independent.var = NULL,
  hypothesis.type, sampling.strategy.cluster = FALSE,
  sampling.strategy.stratified = FALSE,
  do.for.each.unique.value.in.var = NULL)

Arguments

data
dependent.var	string with the column name in 'data' of the dependent variable
hypothesis.type	the type of hypothesis as a string. Allowed values are "direct_reporting", "group_difference", "limit", "correlation" or "change"
sampling.strategy.cluster	set to TRUE if you used cluster sampling
sampling.strategy.stratified	set to TRUE if you used stratified sampling
do.for.each.unique.value.in.var	if you want to repeat the analysis for multiple subsets of the data, specify the column name in 'data' by which to split the dataset
independen.var	string with the column name in 'data' of the independent variable

Details

this function takes the data, information about your variables of interest, hypothesis type and sampling strategy. It selects the appropriate summary statistics, hypothesis test and visualisation and applies them. it uses map_to_case,map_to_indicator,map_to_hypothesis,map_to_visualisation

Value

A list with 1. the summary.statistic, 2. the hypothesis.test.result, and 3. the visualisation as a ggplot object

Examples

plot_crayons()

mabafaba/hypergrammaR documentation built on May 14, 2019, 2:08 p.m.