jackknife.cor {jackknifeR} | R Documentation |
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: |
Value
A list of class "jackknife" containing estimates, bias, standard error, and confidence intervals.
References
Quenouille (1956), Tukey (1958), Shi (1988).
See Also
Examples
j.cor <- jackknife.cor(cars, d = 2, numCores = 2)
summary(j.cor)
[Package jackknifeR version 2.0.0 Index]