Performs a nonparametric Wilcoxon signed-rank test of whether the median difference between two columns of paired censored data equals 0. Uses the Pratt adjustment for pairs of equal or indistinguishable values.
cen_signedranktest(xd, xc, yd, yc, alternative = "two.sided", printstat = TRUE)The first column of data values plus detection limits
The column of censoring indicators for xd, where 1 (or TRUE) indicates a detection limit in the xd column, and 0 (or FALSE) indicates a detected value in xd.
The second column of data values plus detection limits, or a single number representing a standard / guideline value.
The column of censoring indicators for yd, where 1 (or TRUE) indicates a detection limit in the yd column, and 0 (or FALSE) indicates a detected value in yd. Not needed if yd is a single standard number.
The usual notation for the alternate hypothesis. Default is <U+201C>two.sided<U+201D>. Options are <U+201C>greater<U+201D> or <U+201C>less<U+201D>.
Logical TRUE/FALSE option of whether to print the resulting statistics in the console window, or not. Default is TRUE.
Prints a list of Wilcoxon Signed-Rank test with Pratt correction for ties statistics containing the following components:
n Number of samples
Z The value of the test statistic
p.value the p-value of the test
Helsel, D.R., 2011. Statistics for censored environmental data using Minitab and R, 2nd ed. John Wiley & Sons, USA, N.J.
Page, E.B., 1963. Ordered Hypotheses for Multiple Treatments: A Significance Test for Linear Ranks. Journal of the American Statistical Association 58, 216<U+2013>230. https://doi.org/10.2307/2282965
Pratt, J.W., 1959. Remarks on Zeros and Ties in the Wilcoxon Signed Rank Procedures. Journal of the American Statistical Association 54, 655<U+2013>667. https://doi.org/10.2307/2282543
# NOT RUN {
data(atrazine)
cen_signedranktest(atrazine$June,atrazine$JuneCen,atrazine$Sept,atrazine$SeptCen)
# }
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