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Package 'Hmisc' - R

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24 biVar<br />

xlab<br />

vnames<br />

x-axis label. Default constructed from what.<br />

set to "labels" to use variable labels in place of names for plotting. If a<br />

variable does not have a label the name is always used.<br />

Details<br />

Uses midranks in case of ties, as described by Hollander and Wolfe. P-values for Spearman,<br />

Wilcoxon, or Kruskal-Wallis tests are approximated by using the t or F distributions.<br />

Value<br />

spearman2.default (the function that is called for a single x, i.e., when there is no formula)<br />

returns a vector of statistics for the variable. biVar, spearman2.formula, and chiSquare<br />

return a matrix with rows corresponding to predictors.<br />

Author(s)<br />

Frank Harrell<br />

Department of Biostatistics<br />

Vanderbilt University<br />

〈f.harrell@vanderbilt.edu〉<br />

References<br />

Hollander M. and Wolfe D.A. (1973). Nonparametric Statistical Methods. New York: Wiley.<br />

Press WH, Flannery BP, Teukolsky SA, Vetterling, WT (1988): Numerical Recipes in C. Cambridge:<br />

Cambridge University Press.<br />

See Also<br />

combine.levels, varclus, dotchart2, impute, chisq.test, cut2.<br />

Examples<br />

x

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