Calc4GroupNPStats: Calc4GroupNPStats

In reproducer: Reproduce Statistical Analyses and Meta-Analyses

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,
  alternative = "two.sided"
)

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
alternative	The type of statistical test. Valid values are one of c('two.sided', 'greater', 'less')

Value

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

Author(s)

Barbara Kitchenham and Lech Madeyski

Examples

set.seed(123)
x <- list()
x[[1]] <- rnorm(10, 0, 1)
x[[2]] <- rnorm(10, 0.8, 1)
x[[3]] <- rnorm(10, 0.5, 1)
x[[4]] <- rnorm(10, 1.3, 1)
as.data.frame(
Calc4GroupNPStats(x[[1]], x[[2]], x[[3]], x[[4]], sigfig = -1, alpha = 0.05)
)
#   N phat    phat.var  phat.df phat.test  phat.pvalue phat.sig phat.ci.upper
# 1 40 0.17 0.004966667 31.00131 -4.682539 5.324252e-05     TRUE     0.3137336
#  phat.ci.lower     d       vard d.sig d.ci.lower d.ci.upper        cor       sqse
# 1    0.02626639 -0.66 0.02060121  TRUE -0.8545073 -0.3031667 -0.3473684 0.01315789
#        ctvar n1 n2 sigCVt
# 1 0.005990797 20 20   TRUE
as.data.frame(
Calc4GroupNPStats(x[[1]], x[[2]], x[[3]], x[[4]], sigfig = -1, alpha = 0.05,
alternative = "less")
)
#   N phat    phat.var  phat.df phat.test  phat.pvalue phat.sig phat.ci.upper
# 1 40 0.17 0.004966667 31.00131 -4.682539 2.662126e-05     TRUE     0.2894908
#  phat.ci.lower     d       vard d.sig d.ci.lower d.ci.upper        cor       sqse
# 1             0 -0.66 0.02060121  TRUE         -1 -0.3677704 -0.3473684 0.01315789
#        ctvar n1 n2 sigCVt
# 0.005990797 20 20   TRUE
as.data.frame(
Calc4GroupNPStats(x[[2]], x[[1]], x[[4]], x[[3]], sigfig = -1, alpha = 0.05,
alternative = "greater")
)
#   N phat    phat.var  phat.df phat.test  phat.pvalue phat.sig phat.ci.upper
# 1 40 0.83 0.004966667 31.00131  4.682539 2.662126e-05     TRUE             1
#  phat.ci.lower    d       vard d.sig d.ci.lower d.ci.upper       cor       sqse
# 1     0.7105092 0.66 0.02060121  TRUE  0.3677704          1 0.3473684 0.01315789
#        ctvar n1 n2 sigCVt
# 1 0.005990797 20 20   TRUE

#as.data.frame(
#Calc4GroupNPStats(x[[1]],x[[2]],x[[3]],x[[4]],sigfig=-1,alpha=0.00))
#Error in testfunctionParameterChecks(alternative = alternative, alpha = alpha,  :
#  Invalid alpha parameter, select alpha in range (0.0001,0.2)

reproducer documentation built on Oct. 18, 2023, 5:10 p.m.