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#' Prints coxreg objects
#'
#' More "pretty-printing" than \code{print.coxph}, which is a fall-back for
#' 'difficult' objects.
#'
#' Doesn't work with three-way and higher interactions, in which case
#' \code{print.coxph} is used.
#'
#' @param x A \code{coxreg} object, typically the result of running
#' \code{coxreg}
#' @param digits Output format.
#' @param \dots Other arguments.
#' @return No value is returned.
#' @author Göran Broström
#' @seealso \code{\link{coxreg}}, \code{\link[survival]{print.coxph}}
#' @keywords survival
#' @export
print.coxreg <-
function(x, digits=max(options()$digits - 4, 3), ...)
{
if (!is.null(cl<- x$call)) {
cat("Call:\n")
dput(cl)
cat("\n")
}
if (!is.null(x$fail)) {
if (x$fail != 0){
cat(" coxreg failed with: ")
stop(x$fail)
}
}
if (x$nullModel){
##cat("Null log likelihood = ", x$loglik[2], "\n")
cat("Null model\n")
return()
}
savedig <- options(digits = digits)
on.exit(options(savedig))
coef <- x$coef
se <- sqrt(diag(x$var))
wald.p <- formatC(1 - pchisq((coef/ se)^2, 1),
digits = 3,
width = 9, format = "f")
if(is.null(coef) | is.null(se))
stop("Input is not valid")
#####################################
cat("Covariate Mean Coef Rel.Risk S.E. Wald p\n")
e.coef <- formatC(exp(coef), width = 9, digits = 3, format = "f")
coef <- formatC(coef, width = 9, digits = 3, format = "f")
se <- formatC(se, width = 9, digits = 3, format = "f")
ett <- formatC(1, width = 9, digits = 0, format = "f")
noll <- formatC(0, width = 5, digits = 0, format = "f")
factors <- attr(x$terms, "factors")
resp <- attr(x$terms, "response")
row.strata <- attr(x$terms, "specials")$strata
if (!is.null(row.strata))
col.strata <- which(factors[row.strata, ] == 1)
else col.strata <- NULL
if (!is.null(col.strata)){
factors <-
attr(x$terms, "factors")[-c(resp, row.strata), -col.strata,
drop = FALSE]
}else{
factors <-
attr(x$terms, "factors")[-c(resp, row.strata), ,
drop = FALSE]
}
covar.names <- x$covars
term.names <- colnames(factors)
isF <- x$isF
ord <- attr(x$terms, "order")
if (!is.null(col.strata)) ord <- ord[-col.strata]
index <- 0
for (term.no in 1:length(term.names)){
if (ord[term.no] == 1){
covar.no <- which(factors[, term.no] == 1)
if (isF[covar.no]){ ## Factors:
cat(covar.names[covar.no], "\n")
##p <- match(covar.names[covar.no], names(data))
no.lev <- length(x$levels[[covar.no]])
x$levels[[covar.no]] <-
substring(x$levels[[covar.no]], 1, 16)
cat(formatC(x$levels[[covar.no]][1], width = 16, flag = "+"),
formatC(x$w.means[[covar.no]][1],
width = 10, digits = 3, format = "f"),
noll,
ett,
"(reference)\n")
for (lev in 2:no.lev){
##cat("lev = ", lev, "\n")
index <- index + 1
cat(formatC(x$levels[[covar.no]][lev], width = 16,
flag = "+"),
formatC(x$w.means[[covar.no]][lev],
width = 10, digits = 3, format = "f"),
coef[index],
e.coef[index],
se[index],
##formatC(" ", width = 9),
formatC(wald.p[index],
digits = 3,
width = digits + 2,
format = "f"),
##signif(1 - pchisq((coef/ se)^2, 1), digits - 1),
"\n")
}
}else{ ## Covariates:
index <- index + 1
xxx <- x$w.means[[covar.no]]
if (inherits(xxx, "Date")){
xxx <- as.character(xxx)
}else{
xxx <- formatC(x$w.means[[covar.no]],
width = 10, digits = 3, format = "f")
}
cat(formatC(substr(covar.names[covar.no], 1, 16),
width = 16, flag = "-"),
xxx,
coef[index],
e.coef[index],
#exp(coef[index]),
se[index],
##formatC(" ", width = 9),
formatC(wald.p[index],
digits = 3,
width = digits + 2,
format = "f"),
##signif(1 - pchisq((coef/ se)^2, 1), digits - 1),
"\n")
}
}else if (ord[term.no] > 1){ ## Interactions:
cat(formatC(term.names[term.no], width = 16, flag = "-"), "\n")
niv <- numeric(ord[term.no])
covar.no <- which(factors[, term.no] == 1)
for (i in 1:ord[term.no]){
if (isF[covar.no[i]]){
niv[i] <- length(x$levels[[covar.no[i]]]) - 1
}else{
niv[i] <- 1
}
}
stt <- index + 1
for (index in stt:(stt + prod(niv) - 1)){
vn <- sub(covar.names[covar.no[1]], "", names(coef)[index])
for (i in 1:ord[term.no]){
vn <- sub(covar.names[covar.no[i]], "", vn)
}
## cat(format(names(coef)[index], 15, "+"),
cat(formatC(" ", width = 2),
formatC(substring(vn, 1, 22), width = 22, flag = "-"),
##format(" ", 8),
coef[index],
e.coef[index],
se[index],
##formatC(" ", width = 9),
formatC(wald.p[index],
digits = 3,
width = digits + 2,
format = "f"),
##signif(1 - pchisq((coef[index]/ se[index])^2, 1), digits - 1),
"\n")
}
}
}
#####################################
if(FALSE){
tmp <- cbind(coef, exp(coef), se,
signif(1 - pchisq((coef/ se)^2, 1), digits - 1))
dimnames(tmp) <- list(names(coef), c("coef", "rel. risk",
"se(coef)", "p"))
cat("\n")
prmatrix(tmp)
}
if (!is.null(x$frailty)){
cat("\nFrailty standard deviation = ", x$sigma, "\n")
cat(" S.E. = ", x$sigma.sd, "\n\n")
}
logtest <- -2 * (x$loglik[1] - x$loglik[2])
if (is.null(x$df)) df <- sum(!is.na(coef))
else df <- round(sum(x$df),2)
cat("\n")
cat(formatC("Events", width = 25, flag = "-"), x$n.events, "\n")
cat(formatC("Total time at risk", width = 25, flag = "-"),
formatC(x$ttr, digits = 5, format = "fg"), "\n")
cat(formatC("Max. log. likelihood", width = 25, flag = "-"),
formatC(x$loglik[2], digits = 5, format = "fg"), "\n")
cat(formatC("LR test statistic", width = 25, flag = "-"),
format(round(logtest, 2), nsmall = 2), "\n")
cat(formatC("Degrees of freedom", width = 25, flag = "-"),
formatC(df, digits = 0, format = "f"), "\n")
cat(formatC("Overall p-value", width = 25, flag = "-"),
format.pval(1 - pchisq(logtest, df), digits = 6, "\n"))
cat("\n")
if (length(x$icc))
cat(" number of clusters=", x$icc[1],
" ICC=", format(x$icc[2:3]), "\n")
invisible(x)
}
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