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## Note to User:
## This file contains code for functions that are useful in calculating
## or formatting model output. They operate "behind the scenes."
## Function to tally the number of effect sizes per p-value interval ##
intervaltally <- function(p, steps) {
p1 <- cut(p, breaks=c(-Inf,steps), labels=steps)
return(p1) }
## Function to format the above tally into a table and add labels ##
sampletable <- function(p, pvalues, steps){
nsteps <- length(steps)
results <- matrix(nrow=length(pvalues),ncol=1)
results[,1] <- pvalues
rowlabels <- c(0, length(results[,1]))
rowlabels[1] <- paste(c("p-values <", steps[1]), collapse="")
for(i in 2:nsteps){
rowlabels[i] <- paste(c(steps[i - 1], "< p-values <", steps[i]), collapse=" ")
}
resultsb <- data.frame(results, row.names=c(rowlabels))
colnames(resultsb) <- c("Frequency")
return(resultsb)
}
##
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