jackknife.cor: Delete-d Jackknife Estimate for Correlation between Two...

In jackknifeR: Delete-d Jackknife for Point and Interval Estimation

Delete-d Jackknife Estimate for Correlation between Two Variables

Description

This function creates jackknife samples from the data by sequentially removing d observations, calculates the correlation, and estimates bias, standard error, and confidence intervals.

Usage

jackknife.cor(data, d = 1, conf = 0.95, numCores = parallel::detectCores())

Arguments

data	A data frame with two numeric columns.
d	Number of observations to delete (default: 1).
conf	Confidence level (default: 0.95).
numCores	Number of processors (default: detectCores()).

Value

A list of class "jackknife" containing estimates, bias, standard error, and confidence intervals.

References

Quenouille (1956), Tukey (1958), Shi (1988).

See Also

cor(), jackknife()

Examples

j.cor <- jackknife.cor(cars, d = 2, numCores = 2)
summary(j.cor)

jackknifeR documentation built on June 8, 2025, 10:41 a.m.