exact.ci: Exact Confidence Intervals
In dplRCon: Concordance for Dendroclimatology
Description
Usage
Arguments
Value
Description
Calculate the exact confidence intervals for proportions, based in Pearson's approach.
Usage
1
Arguments
p.adjust
A vector of concordance indices, these are proportions for which you want to calculate the confidence interval.
size.x
A vector of the number of series used to calculate each index in matrix X.
size.y
A vector of the number of series used to calculate each index in matrix Y.
i
A recursive variables (i.e. use this function in Apply.)
Value
A vector with 2 elements indicating the lower and upper confidence intervals for the concordance indices.
dplRCon documentation built on May 2, 2019, 2:02 p.m.
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Description Usage Arguments Value
Description
Calculate the exact confidence intervals for proportions, based in Pearson's approach.
Usage
1 |
Arguments
p.adjust |
A vector of concordance indices, these are proportions for which you want to calculate the confidence interval. |
size.x |
A vector of the number of series used to calculate each index in matrix X. |
size.y |
A vector of the number of series used to calculate each index in matrix Y. |
i |
A recursive variables (i.e. use this function in Apply.) |
Value
A vector with 2 elements indicating the lower and upper confidence intervals for the concordance indices.
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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