R: Plotting the Relative Jackknife Influence Function
MCResultJackknife.plotwithRJIF
R Documentation
Plotting the Relative Jackknife Influence Function
Description
The function draws reference method vs. test method as
scatter plot. Observations with high influence (relative
jackknife influence function is greater than 2) are
highlighted as red points.
Usage
MCResultJackknife.plotwithRJIF(.Object)
Arguments
.Object
object of class "MCResultJackknife" or
"MCResultResampling"
References
Efron, B. (1990) Jackknife-After-Bootstrap Standard Errors
and Influence Functions. Technical Report , N 134.
Examples
#library("mcr")
data(creatinine,package="mcr")
x <- creatinine$serum.crea
y <- creatinine$plasma.crea
# Deming regression fit.
# The confidence intervals for regression coefficients
# are calculated with jackknife method
model <- mcreg( x,y,error.ratio=1,method.reg="Deming", method.ci="jackknife",
mref.name = "serum.crea", mtest.name = "plasma.crea", na.rm=TRUE )
plotwithRJIF(model)