siegel.tukey: annual mean of the absolute day-to-day differences of DTR...

Description Usage Arguments Value Author(s) Source References Examples

Description

SiegelTukey returns the annual mean of the absolute day-to-day differences of the diurnal temperature range (SiegelTukey).

Usage

1
2
3
SiegelTukey(x,y,id.col=FALSE,adjust.median=FALSE,rnd=-1,alternative="two.sided",
mu=0 ,paired=FALSE,exact=FALSE,correct=TRUE,conf.int=FALSE,conf.level=0.95,
showresult=TRUE, returnresult=TRUE)

Arguments

x

vector of data

y

Data of the second group (if id.col=FALSE) or group indicator (if id.col=TRUE). In the latter case, y MUST take 1 or 2 to indicate observations of group 1 and 2, respectively, and x must contain the data for both groups.

id.col

If FALSE (default), then x and y are the data columns for group 1 and 2, respectively. If TRUE, the y is the group indicator.

adjust.median

Should between-group differences in medians be leveled before performing the test? In certain cases, the Siegel-Tukey test is susceptible to median differences and may indicate significant differences in variability that, in reality, stem from differences in medians.

rnd

Should the data be rounded and, if so, to which decimal? The default (-1) uses the data as is. Otherwise, rnd must be a non-negative integer. Typically, this option is not needed. However, occasionally, differences in the precision with which certain functions return values cause the merging of two data frames to fail within the SiegelTukey function. Only then rounding is necessary. This operation should not be performed if it affects the ranks of observations.

alternative

"one.sided" or "two.sided".

mu

mu.

paired

Logical, TRUE=paired, FALSE=not paired.

exact

Logical, TRUE=paired, FALSE=.

correct

Logical, TRUE=paired, FALSE=.

conf.int

Confidence interval.

conf.level

Confidence level.

showresult

Logical, show the result or not.

returnresult

Logical, return the result or not.

Value

groupmedian1

Group median 1

groupmedian2

Group median 2

testmediandifferences

Wilcoxon-test for between-group differences in median (after the median adjustment if specified)

wilcox.test.p.value

Wilcoxon-test for between-group differences in median (after the median adjustment if specified)

wilcox.test.null.value

Wilcoxon-test for between-group differences in median (after the median adjustment if specified)

unique.x.tieadjusted.rank

Unique values of x and their tie-adjusted Siegel-Tukey ranks

tieadjusted.ranks.group1

Tie-adjusted Siegel-Tukey ranks of group 1

tieadjusted.ranks.group2

Tie-adjusted Siegel-Tukey ranks of group 2

wilcoxon.W

Wilcoxon-test for between-group differences in median (after the median adjustment if specified)

wilcoxon.p.value

Wilcoxon-test for between-group differences in median (after the median adjustment if specified)

Author(s)

Daniel Malter

Source

Daniel Malter, 2012 https://stat.ethz.ch/pipermail/r-help/2010-February/229215.html

References

Sidney Siegel and John Wilder Tukey, 1960 A nonparametric sum of ranks procedure for relative spread in unpaired samples. Journal of the American Statistical Association.

David J. Sheskin, 2004 Handbook of parametric and nonparametric statistical procedures. 3rd edition. Chapman and Hall/CRC. Boca Raton, FL.

Richard H. McCuen, 2002 Modeling Hydrologic Change: Statistical Methods CRC Press

Examples

1
2
3
x=c(4,4,5,5,6,6)
y=c(0,0,1,9,10,10)
SiegelTukey(x,y)

climtrends documentation built on May 29, 2017, 11:58 p.m.