dataTOSTtwo {TOSTER} | R Documentation |
TOST Independent Samples T-Test for jamovi. This function is not meant to be utilized in R. See t_TOST function.
dataTOSTtwo( data, deps, group, var_equal = FALSE, hypothesis = "EQU", low_eqbound = -0.5, high_eqbound = 0.5, eqbound_type = "raw", alpha = 0.05, desc = FALSE, plots = FALSE, descplots = FALSE, low_eqbound_d = -999999999, high_eqbound_d = -999999999, smd_type = "g" )
data |
the data as a data frame |
deps |
a vector of strings naming dependent variables in |
group |
a string naming the grouping variable in |
var_equal |
|
hypothesis |
|
low_eqbound |
a number (default: -0.5) the lower equivalence/MET bounds |
high_eqbound |
a number (default: 0.5) the upper equivalence/MET bounds |
eqbound_type |
|
alpha |
alpha level (default = 0.05) |
desc |
|
plots |
|
descplots |
|
low_eqbound_d |
deprecated |
high_eqbound_d |
deprecated |
smd_type |
|
A results object containing:
results$text | a html | ||||
results$tost | a table | ||||
results$eqb | a table | ||||
results$effsize | a table | ||||
results$desc | a table | ||||
results$plots | an array of images | ||||
results$descplots | an array of images | ||||
Tables can be converted to data frames with asDF
or as.data.frame
. For example:
results$tost$asDF
as.data.frame(results$tost)
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
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)