chisq: Chi-square test by simulation for a two-way table
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chisq R Documentation
Chi-square test by simulation for a two-way table
Description
Calculate a p-value for a chi-square test by Monte Carlo simulation.
Usage
chisq(tab, n.sim = 1000)
Arguments
tab
A matrix of counts.
n.sim
Number of samples of permuted tables to consider.
Details
This is like the function stats::chisq.test(), but
calculates an approximate P-value rather than refering to
asymptotics. This will be better for large, sparse tables.
Value
A single number: the P-value testing independence of rows and columns
in the table.
See Also
stats::chisq.test(), stats::fisher.test(), fisher()
Examples
TeaTasting <- matrix(c(3,1,1,3),nrow=2)
chisq(TeaTasting,1000)
broman documentation built on May 29, 2024, 7:18 a.m.
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| chisq | R Documentation |
Chi-square test by simulation for a two-way table
Description
Calculate a p-value for a chi-square test by Monte Carlo simulation.
Usage
chisq(tab, n.sim = 1000)
Arguments
tab |
A matrix of counts. |
n.sim |
Number of samples of permuted tables to consider. |
Details
This is like the function stats::chisq.test(), but
calculates an approximate P-value rather than refering to
asymptotics. This will be better for large, sparse tables.
Value
A single number: the P-value testing independence of rows and columns in the table.
See Also
stats::chisq.test(), stats::fisher.test(), fisher()
Examples
TeaTasting <- matrix(c(3,1,1,3),nrow=2)
chisq(TeaTasting,1000)
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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