cor.j.index.twosample: Two-Sample J Index of Predictive Efficiency
In burrm/lolcat: Miscellaneous Useful Functions
View source: R/cor.j.index.twosample.R
cor.j.index.twosample R Documentation
Two-Sample J Index of Predictive Efficiency
Description
Calculate test for differences between two samples' J Index of Predictive Efficiency calculations.
Usage
cor.j.index.twosample(
x1,
x2,
alternative = c("two.sided", "less", "greater"),
conf.level = 0.95
)
Arguments
x1
A 2x2 matrix for first sample
x2
A 2x2 matrix for second sample
alternative
The alternative hypothesis to use for the test computation.
conf.level
The confidence level for this test, between 0 and 1.
Value
Hypothesis test result showing results of test.
burrm/lolcat documentation built on Aug. 15, 2024, 6:16 p.m.
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View source: R/cor.j.index.twosample.R
| cor.j.index.twosample | R Documentation |
Two-Sample J Index of Predictive Efficiency
Description
Calculate test for differences between two samples' J Index of Predictive Efficiency calculations.
Usage
cor.j.index.twosample(
x1,
x2,
alternative = c("two.sided", "less", "greater"),
conf.level = 0.95
)
Arguments
x1 |
A 2x2 matrix for first sample |
x2 |
A 2x2 matrix for second sample |
alternative |
The alternative hypothesis to use for the test computation. |
conf.level |
The confidence level for this test, between 0 and 1. |
Value
Hypothesis test result showing results of test.
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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