Calculates r effect size for a Wilcoxon two-sample paired signed-rank test; confidence intervals by bootstrap.
wilcoxonPairedR(x, g = NULL, ci = FALSE, conf = 0.95,
type = "perc", R = 1000, histogram = FALSE, digits = 3, ...)A vector of observations of an ordinal variable.
The vector of observations for the grouping, nominal variable. Only the first two levels of the nominal variable are used. The data must be ordered so that the first observation of the of the first group is paired with the first observation of the second group.
If TRUE, returns confidence intervals by bootstrap.
May be slow.
The level for the confidence interval.
The type of confidence interval to use.
Can be any of "norm", "basic",
"perc", or "bca".
Passed to boot.ci.
The number of replications to use for bootstrap.
If TRUE, produces a histogram of bootstrapped values.
The number of significant digits in the output.
Additional arguments passed to the wilcoxsign_test function.
A single statistic, r. Or a small data frame consisting of r, and the lower and upper confidence limits.
A Z value is extracted from the wilcoxsign_test function in the
coin package. r is calculated as Z divided by
square root of the number of observations in one group. This
results in a statistic that ranges from 0 to 1.
Currently, the function makes no provisions for NA
values in the data. It is recommended that NAs be removed
beforehand.
When the data in the first group are greater than
in the second group, r is positive.
When the data in the second group are greater than
in the first group, r is negative.
Be cautious with this interpretation, as R will alphabetize
groups if g is not already a factor.
When r is close to extremes, or with small counts in some cells, the confidence intervals determined by this method may not be reliable, or the procedure may fail.
# NOT RUN {
data(Pooh)
wilcox.test(Likert ~ Time, data=Pooh, paired=TRUE, exact=FALSE)
wilcoxonPairedR(x = Pooh$Likert, g = Pooh$Time)
# }
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