reproducer (version 0.4.2)

Calc4GroupNPStats: Calc4GroupNPStats

Description

This function does a non-parametric analysis of a randomized blocks experiment assuming 2 blocks and 2 treatment conditions.

Usage

Calc4GroupNPStats(x1, x2, x3, x4, sigfig = -1, alpha = 0.05)

Value

The function returns the point biserial version of Kendall's tau and its variance, Cliff's d and its variance, the probability of superiority, phat, and its variance, for the 4 group experiment experiment.

Arguments

x1

is the data associated with treatment A in one block 1

x2

is the data associated with treatment B in block 1

x3

is the data associated with treatment A in block 2

x4

is the data associated with treatment B in block 2

sigfig

is the number of significant digits in the data. If >0 the datav will be appropriately truncated

alpha

is the significance level for all statistical tests

Author

Barbara Kitchenham and Lech Madeyski

Examples

set.seed(123)
x=list()
x[[1]]=stats::rnorm(10,0,1)
x[[2]]=stats::rnorm(10,0.8,1)
x[[3]]=stats::rnorm(10,0.5,1)
x[[4]]=stats::rnorm(10,1.3,1)
Calc4GroupNPStats(x[[1]],x[[2]],x[[3]],x[[4]],sigfig=-1,alpha=0.05)
# A tibble: 1 x 17
#       N  phat phat.var phat.df phat.test phat.pvalue phat.sig      d   vard d.sig    cor   sqse
#                                  
#   1    40  0.17  0.00497    31.0     -4.68   0.0000532 TRUE     -0.660 0.0206 TRUE  -0.347 0.0132
# … with 5 more variables: ctvar , n1 , n2 , sigCVt , sigCVn