# R/qcomhd.R In WRS2: A Collection of Robust Statistical Methods

```qcomhd <- function(formula, data, q = c(0.1, 0.25, 0.5, 0.75, 0.9), nboot = 2000, alpha = 0.05, ADJ.CI = TRUE){
#
# Compare quantiles using pb2gen
# via hd estimator. Tied values are allowed.
# When comparing lower or upper quartiles, both power and the probability of Type I error
# compare well to other methods that have been derived.
# q: can be used to specify the quantiles to be compared
# q defaults to comparing the .1,.25,.5,.75, and .9 quantiles
#   Function returns p-values and critical p-values based on Hochberg's method.
#

if (missing(data)) {
mf <- model.frame(formula)
} else {
mf <- model.frame(formula, data)
}
cl <- match.call()

xy <- split(model.extract(mf, "response"), mf[,2])
faclevels <- names(xy)
x <- xy[[1]]
y <- xy[[2]]

pv=NULL
output=matrix(NA,nrow=length(q),ncol=10)
dimnames(output)<-list(NULL,c("q","n1","n2","est.1","est.2","est.1_minus_est.2","ci.low","ci.up", "p_crit","p-value"))
for(i in 1:length(q)){
output[i,1]=q[i]
output[i,2]=length(elimna(x))
output[i,3]=length(elimna(y))
output[i,4]=hd(x,q=q[i])
output[i,5]=hd(y,q=q[i])
output[i,6]=output[i,4]-output[i,5]
temp=pb2gen1(x,y,nboot=nboot,est=hd,q=q[i],SEED=FALSE,alpha=alpha,pr=FALSE)
output[i,7]=temp\$ci[1]
output[i,8]=temp\$ci[2]
output[i,10]=temp\$p.value
}
temp=order(output[,10],decreasing=TRUE)
zvec=alpha/c(1:length(q))
output[temp,9]=zvec
for(i in 1:length(q)){
temp=pb2gen1(x,y,nboot=nboot,est=hd,q=q[i],SEED=FALSE,alpha=output[i,9],pr=FALSE)
output[i,7]=temp\$ci[1]
output[i,8]=temp\$ci[2]
output[i,10]=temp\$p.value
}
}
output <- data.frame(output)
output\$signif=rep("YES",nrow(output))
temp=order(output[,10],decreasing=TRUE)
for(i in 1:nrow(output)){
if(output[temp[i],10]>output[temp[i],9])output\$signif[temp[i]]="NO"
if(output[temp[i],10]<=output[temp[i],9])break
}

output <- output[,-ncol(output)]
colnames(output) <- c("q", "n1", "n2", "est1", "est2", "est1-est.2", "ci.low", "ci.up", "p.crit", "p.value")
result <- list(partable = output, call = cl)
class(result) <- "robtab"
result
}
```

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WRS2 documentation built on May 2, 2019, 4:46 p.m.