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)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
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 “two.sided”. Options are “greater” or “less”.
Logical TRUE/FALSE option of whether to print the resulting statistics in the console window, or not. Default is TRUE.
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, 216–230. tools:::Rd_expr_doi("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, 655–667. tools:::Rd_expr_doi("https://doi.org/10.2307/2282543")
data(atrazine)
cen_signedranktest(atrazine$June,atrazine$JuneCen,atrazine$Sept,atrazine$SeptCen)
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