cliff | R Documentation |
cliff
calculates Cliff's delta statistic using the rank sum method.
cliff(v1, v0)
v1 |
a vector, biomarker values from the treatment group. |
v0 |
a vector, biomarker values from the control group. |
cliff
returns a numeric that is the Cliff's delta of the
treatment group.
Cliff, N. (1993). Dominance statistics: Ordinal analyses to
answer ordinal questions. Psychological Bulletin, 114(3), 494–509.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/0033-2909.114.3.494")}.
Vargha, A., & Delaney, H. D.
(2000). A Critique and Improvement of the CL Common Language Effect Size
Statistics of McGraw and Wong. Journal of Educational and Behavioral
Statistics, 25(2), 101–132. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3102/10769986025002101")}.
Ruscio, J., & Mullen, T. (2012). Confidence Intervals for the Probability
of Superiority Effect Size Measure and the Area Under a Receiver Operating
Characteristic Curve. Multivariate Behavioral Research, 47(2), 201–223.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/00273171.2012.658329")}.
CalcA1
.
set.seed(1)
setting <- setpop()
temp <- simul(setting$pop_mean)
cliff(subset(temp$sam, Site == "S1", Bmk1, drop = TRUE),
subset(temp$sam, Site == "S0", Bmk1, drop = TRUE))
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