BSkyOneSmTTest | R Documentation |
Performs one sample t-tests on selected variables. Optionally computes effect size indices for standardized differences: Cohen's d and Hedges' g (This function returns the population estimate.)
BSkyOneSmTTest(
data = NULL,
varNamesOrVarGlobalIndices = NULL,
mu = 0,
conf.level = 0.95,
alternative = "two.sided",
datasetNameOrDatasetGlobalIndex = NULL,
missing = 0,
bSkyHandleSplit = TRUE,
cohens_d = FALSE,
cohensd_correction = FALSE,
hedges_g = FALSE,
hedgesg_correction = FALSE,
glass_d = FALSE,
glassd_correction = FALSE,
debug = FALSE
)
varNamesOrVarGlobalIndices |
selected scale variables (say var1, var2) |
mu |
a number indicating the true value of the mean. (say 10) |
conf.level |
a numeric value (say 0.95). |
alternative |
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". You can specify just the initial letter. |
datasetNameOrDatasetGlobalIndex |
Name of the dataset (say Dataset) from which var1, var2 and var3 are selected. |
missing |
missing values are handled on a per variable basis (missing =0) or list wise across all variables (missing=1). |
A list with the results of the test
Dataset <- data.frame(Expenses=c(20,23,19,25,26), Sales=c(48,50,55,51,49), Gender=c('m','f','f','m','m'), Deptt=c('IT', 'Sales', 'IT','Sales','IT'))
BSky_One_Simple_T_Test = BSkyOneSmTTest(varNamesOrVarGlobalIndices =c('Sales','Expenses'),mu=.9,conf.level=0.95,alternative ="two.sided", datasetNameOrDatasetGlobalIndex ='Dataset',missing=1)
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