pickGroupMethod: pickGroupMethod

In TaylorAndrew/atPrepAnalyze: Methods for prepping data for analyses

Usage

pickGroupMethod(data, continList = NULL, catList = NULL, grouping = NULL,
  minCount = NULL, minExpectedCountProportion = 0.75,
  maxLevelsCutoff = NULL, dropOneRow = T, dropNLessThan = 1,
  testNormality = T, minDiscreteValues = NULL, varEqual = T,
  verbose = T)

Arguments

data	data.frame containing all data
continList	continList Vector of continuous variable names
catList	catList Vector of categorical variable names
grouping	grouping Grouping variable to test for equal variance and other multiple group based assumptions
minCount	Minimum total count
minExpectedCountProportion	Minimum proportion of cells that have an expected count of 5 or more to still use Chi.square test. Default of 75 \item maxLevelsCutoffMaximum number of unique levels to a variable to still analyze. If the variable exceeds this cutoff it will be dropped from the analysis lists. \item dropOneRowIf TRUE, any variables with only 1 unique level will be dropped from analysis lists. \item dropNLessThanMinimum number non-NA responses a variable must have before being dropped from the analysis lists. Default of 1 \item testNormalityIf TRUE, normality assumptions are checked for continuous variables \item minDiscreteValuesminDiscreteValues Minimum number of discrete values of a continuous variable to still be tested with parametric methods. \item varEqualIf TRUE, and grouping is non-NULL, equal variance assumptions will be tested \item verboseIf TRUE, messages about decision criteria will be printed to the console.

List of vectors indicating whether variances should be tested parametrically, non-parametrically or dropped, for continuous and categorical lists separately pickGroupMethod will test common assumptions for parametric and non-parametric methods for 2 + group methods (e.g. t.test, mann-whitney U, chisq, fisher, ANOVA) and will decide which method to use for each variable. #NULL

TaylorAndrew/atPrepAnalyze documentation built on May 9, 2019, 4:23 p.m.