spearmanR: calculate the Spearman correlation for a 2 dimensional...
In jeroenooms/JJcorr: Calculates polychorical correlations for several copula families.
Description
Usage
Arguments
Value
Examples
Description
calculate the Spearman correlation for a 2 dimensional contingency table.
Usage
1
spearmanR(P)
Arguments
P
a 2 dimensional contingency table.
Value
the Spearman correlation value (r) for the observed data.
Examples
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data(table4);
#fit an empirical correlation
mySR <- spearmanR(table4);
(boot(mySR));
#example with a dataframe:
mydf <- data.frame(W=rbinom(100,1,.5), X=rbinom(100,2,.5), Y=rbinom(100,3,.5),
Z=rbinom(100,4,.5));
myMC <- corrMatrix(mydf,method="spearman");
#results should be exactly identical to:
cor(mydf,method="spearman")
jeroenooms/JJcorr documentation built on May 19, 2019, 6:10 a.m.
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Description Usage Arguments Value Examples
Description
calculate the Spearman correlation for a 2 dimensional contingency table.
Usage
1 | spearmanR(P)
|
Arguments
P |
a 2 dimensional contingency table. |
Value
the Spearman correlation value (r) for the observed data.
Examples
1 2 3 4 5 6 7 8 9 10 11 12 | data(table4);
#fit an empirical correlation
mySR <- spearmanR(table4);
(boot(mySR));
#example with a dataframe:
mydf <- data.frame(W=rbinom(100,1,.5), X=rbinom(100,2,.5), Y=rbinom(100,3,.5),
Z=rbinom(100,4,.5));
myMC <- corrMatrix(mydf,method="spearman");
#results should be exactly identical to:
cor(mydf,method="spearman")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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