condprob: Function condprob

In jhollist/condprob2: Package to conduct coniditional probability analysis

Description

This function calculates a conditional probability analysis

Usage

condprob(xX, xY, xImpair, ProbComp = c("gt", "lt"), Exceed = c("gte",
  "lte"), ci = FALSE, alpha = 0.05, R = 100, xW = rep(1,
  length(xX)))

Arguments

xX	numeric vector for conditional (independent) variable
xY	numeric vector for dependent variable, conditional on xX
xImpair	numeric threshold for impairment of xY
ProbComp	chr string
Exceed	chr string
ci	logical to return confidence interval for estimated likelihood of impairment
alpha	numeric for alpha level defining confidence
R	numeric for number of bootstrap iterations to estimate confidence
xW	numeric vector with length equal to xX

Examples

data(jeqdata_wq)
ept<-jeqdata_wq$EPT.RICH
pct_fn<-jeqdata_wq$PCT.FN
cpa1<-condprob(pct_fn,ept,9,'lt','gte',T,R=1000)

jhollist/condprob2 documentation built on May 19, 2019, 9:27 a.m.