Computes Somers' Dxy rank correlation between a variable
x and a
binary (0-1) variable
y, and the corresponding receiver operating
characteristic curve area
c. Note that
Dxy = 2(c-0.5).
somers allows for a
weights variable, which specifies frequencies
to associate with each observation.
typically a predictor variable.
a numeric outcome variable coded
a numeric vector of observation weights (usually frequencies). Omit or specify a zero-length vector to do an unweighted analysis.
rcorr.cens function, which although slower than
somers2 for large
sample sizes, can also be used to obtain Dxy for non-censored binary
y, and it has the advantage of computing the standard deviation of
the correlation index.
a vector with the named elements
n (number of non-missing
Missing. Uses the formula
C = (mean(rank(x)[y == 1]) - (n1 + 1)/2)/(n - n1), where
n1 is the
Department of Biostatistics
Vanderbilt University School of Medicine
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Loading required package: lattice Loading required package: survival Loading required package: Formula Loading required package: ggplot2 Attaching package: 'Hmisc' The following objects are masked from 'package:base': format.pval, units C Dxy n Missing 0.8888889 0.7777778 6.0000000 0.0000000 C Dxy n Missing 0.85 0.70 13.00 0.00 C Dxy n Missing 0.85 0.70 13.00 0.00
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