Performs a Peto-Peto nonparametric test of differences in cdfs between groups. If more than two groups, the test is followed by a nonparametric multiple comparison test. Uses the BH method of adjusting p-values.
cen1way(x1, x2, group, mcomp.method = "BH", printstat = TRUE)
A list of summary statistics for each group evaluated containing the following components:
N
Number of samples
PctND
Percentage of non-detects
KMmean
Kaplan-Meier estimate of the mean
KMsd
Kaplan-Meier estimate of standard deviation
KMmedian
Kaplan-Meier estmate of the median
Peto-Peto test results including Chi-Squared value, degrees of freedom and p-value
of the test.
If more than two groups, p-values
of the pairwise multiple comparisons, adjusted using the BH false-discovery rate, are reported.
The column of data values plus detection limits
The column of indicators, where 1 (or TRUE
) indicates a detection limit in the y1 column, and 0 (or FALSE
) indicates a detected value in y1.
Grouping or factor variable. Can be either a text or numeric value indicating the group assignment.
One of the standard methods for adjusting p-values for multiple comparisons. Type ?p.adjust for the list of possible methods. Default is Benjamini-Hochberg "BH" false discover rate.
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.
Peto, R., Peto, J., 1972. Asymptotically Efficient Rank Invariant Test Procedures. Journal of the Royal Statistical Society. Series A (General) 135, 185. tools:::Rd_expr_doi("https://doi.org/10.2307/2344317")
Benjamini, Y., Hochberg, Y., 1995. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. Series B (Methodological), 57, 289-300.
data(PbHeron)
# Two Groups
cen1way(PbHeron$Liver,PbHeron$LiverCen,PbHeron$DosageGroup)
# More than two groups
cen1way(PbHeron$Liver,PbHeron$LiverCen,PbHeron$Group)
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