dataTOSTtwo: TOST Independent Samples T-Test

Description

TOST Independent Samples T-Test

Usage

dataTOSTtwo(data, deps, group, var_equal = FALSE, low_eqbound = -0.5,
  high_eqbound = 0.5, eqbound_type = "d", alpha = 0.05,
  desc = FALSE, plots = FALSE, low_eqbound_d = -999999999,
  high_eqbound_d = -999999999)

Arguments

data

the data as a data frame

deps

a vector of strings naming dependent variables in data

group

a string naming the grouping variable in data; must have two levels

var_equal

TRUE or FALSE (default), assume equal variances

low_eqbound

a number (default: -0.5) the lower equivalence bounds

high_eqbound

a number (default: 0.5) the upper equivalence bounds

eqbound_type

'd' (default) or 'raw'; whether the bounds are specified in Cohen's d or raw units respectively

alpha

alpha level (default = 0.05)

desc

TRUE or FALSE (default), provide descriptive statistics

plots

TRUE or FALSE (default), provide plots

low_eqbound_d

deprecated

high_eqbound_d

deprecated

Value

A results object containing:

`results$tost`					a table
`results$eqb`					a table
`results$desc`					a table
`results$plots`					an array of images

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$tost$asDF

as.data.frame(results$tost)

References

Berger, R. L., & Hsu, J. C. (1996). Bioequivalence Trials, Intersection-Union Tests and Equivalence Confidence Sets. Statistical Science, 11(4), 283-302.

Gruman, J. A., Cribbie, R. A., & Arpin-Cribbie, C. A. (2007). The effects of heteroscedasticity on tests of equivalence. Journal of Modern Applied Statistical Methods, 6(1), 133-140, formula for Welch's t-test on page 135

Examples

Run this code

# NOT RUN {
library(TOSTER)

## Load iris dataset, remove one of the three groups so two are left

data<-iris[which(iris$Species!="versicolor"),]

## TOST procedure on the raw data

dataTOSTtwo(data, deps="Sepal.Width", group="Species", var_equal = TRUE, low_eqbound = -0.5,
            high_eqbound = 0.5, alpha = 0.05, desc = TRUE, plots = TRUE)

# }