t_testList: t_testList

In TaylorAndrew/atAnalyze: Methods for Iterative Analytical Reporting

Description

t_testList performs paired and unpaired parametric and non-parametric t.tests between columns within a data.frame, for multiple pairs of varaibles given in list form.

Usage

t_testList(data, list_of_t.tests, dec = 2, pdec = 3, var.equal = TRUE,
  parametric = TRUE, paired = FALSE, NPDescriptives = F, NPtype = "IQR")

Arguments

data	data.frame containing all columns provided in 'list_of_t.tests'
list_of_t.tests	A list, in which each element contains the names of two variables from 'data'
dec	Number of decimals to round descriptive statistics to
pdec	Number of decimals to round p-values to
var.equal	If TRUE, and parametric==TRUE, student's t.test will be used, else Welch's t.test methods are used
parametric	If TRUE, t.test() methods are used, else wilcox.test() methods are used
paired	If TRUE, the two variables will be treated as paired.
NPDescriptives	If TRUE, Median and either IQR or range are provided, else Mean and Std are provided
NPtype	Can be 'IQR' or 'range'. If NPDescriptives==TRUE, then the specified variance estimate(s) will be provided

Value

A data.frame containing the results from the t.tests along with descriptive statistics.

Examples

#example_df <- data.frame(x1 = rnorm(100),
#                         x2 = rnorm(100),
#                         x3 = rnorm(100),
#                         x4 = rnorm(100),
#                         x5 = rnorm(100))
#list <- list(c("x1", "x2"), c("x1", "x3"), c("x4", "x5"))
#t_testList(example_df, list)
#t_testList(example_df, list, parametric = F)
#t_testList(example_df, list, paired = T)
#t_testList(example_df, list, NPDescriptives = T)
#t_testList(example_df, list, NPDescriptives = T, NPtype = "range")

TaylorAndrew/atAnalyze documentation built on May 9, 2019, 4:21 p.m.