sdcorr<-function(data,digits=2) {
#' Print a pretty correlation table.
#'
#' This function prints a pretty correlation table.
#'
#' @param data a data frame with just numeric data.
#' @param digits How many digits to print?
#'
#' @export
#'
if(any(sapply(data,is.numeric)==FALSE)) {
stop("Data must be numeric")
}
rawcorr<-Hmisc::rcorr(as.matrix(data))
cors<-round(rawcorr[["r"]],digits) # round it
ps<-rawcorr[["P"]]
stars<-starPs(ps) # Get the stars
dim(stars)<-dim(ps)
#Delete the upper triangle from cors and ps
cors[upper.tri(cors,diag=TRUE)]<-""
stars[upper.tri(stars,diag=TRUE)]<-""
#We sample alternately from cors, then stars, then restore a matrix format
cortable<-matrix(rbind(cors,stars),nrow=nrow(cors))
rownames(cortable)<-paste(1:ncol(cors),names(data),sep=". ")
colnames(cortable)<-c(sapply(1:ncol(cors),function(x) c(x,paste(x,".p"))))
cortable[,1:(ncol(cortable)-2)]
}
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