Nothing
#' @export
print.casanova <- function(x, ...) {
cat("Call:", "\n")
print(x$input$formula)
cat("\n", "CASANOVA: Cumulative Aalen survival analyis-of-variance:","\n","\n", sep = "")
print(x$statistic)
}
#' @export
summary.casanova <- function (object, ...) {
x <- object
if ( length(x$rg) == 0 ){
cat("The chosen weights are linearly independent.", "\n",
"The test is based on the crossing weight.", "\n","\n")
}else{
rg_rep <- paste0("c(", x$rg[[1]][1], ", ", x$rg[[1]][2], ")" )
if ( length(x$rg) > 1 ){
for (i in 2:length(x$rg)){
rg_rep <- paste0( rg_rep, ", c(", x$rg[[i]][1], ", ", x$rg[[i]][2], ")" )
}
}
cat("The chosen weights are", if ( x$indep == FALSE){ " not"},
" linearly independent.", "\n", "The test is based on ",
if ( x$cross == TRUE){ "the crossing weight and "},
length(x$rg), " ","weight", if (length(x$rg) > 1){"s"}, " with exponents ", "\n",
" ", "c(r,g)= ", rg_rep, ".", "\n","\n", sep="")
}
print(x)
}
#' @export
plot.casanova <- function (x, direction = "horizontal", by.group = FALSE, nr.group = FALSE,...) {
plotting <- x$plotting
requireNamespace("survival", quietly = TRUE)
if (!("package:survival" %in% search())) {
attachNamespace("survival")
}
requireNamespace("survminer", quietly = TRUE)
if (!("package:survminer" %in% search())) {
attachNamespace("survminer")
}
requireNamespace("gridExtra", quietly = TRUE)
if (!("package:gridExtra" %in% search())) {
attachNamespace("gridExtra")
}
if(length(plotting$nadat2)==1){
fit <- eval(parse(text =paste0("survival::survfit(Surv(time,event) ~ ",plotting$nadat2[1],", data = plotting$dat)")))
plot_1 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE)
return(plot_1)
}
if(length(plotting$nadat2)==2){
if(by.group == FALSE){
fit <- eval(parse(text =paste0("survival::survfit(Surv(time,event) ~ ",plotting$nadat2[1]," + ",plotting$nadat2[2],", data = plotting$dat)")))
plot_1 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE,
# surv.median.line = "hv",
facet.by = plotting$nadat2[1])
plot_2 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE,
# surv.median.line = "hv",
facet.by = plotting$nadat2[2])
if(direction == "horizontal"){
gridExtra::grid.arrange(plot_1, plot_2, ncol=2)
}
if(direction == "vertical"){
gridExtra::grid.arrange(plot_1, plot_2, ncol=1)
}
}
if(by.group == TRUE){
fit <- eval(parse(text =paste0("survival::survfit(Surv(time,event) ~ ",plotting$nadat2[1]," + ",plotting$nadat2[2],", data = plotting$dat)")))
plot_1 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE,
# surv.median.line = "hv",
facet.by = plotting$nadat2[nr.group])
return(plot_1)
}
}
if(length(plotting$nadat2)==3){
stop("Plots for designs with MORE than two factors not implemented!")
}
}
#' @export
print.medsanova<- function(x, ...) {
cat("Call:", "\n")
print(x$input$formula)
cat("\n", "medSANOVA: Median survival analyis-of-variance:","\n","\n", sep = "")
print(x$statistic)
}
#' @export
summary.medsanova <- function (object, ...) {
x <- object
print(x)
}
#' @export
plot.medsanova <- function (x, direction = "horizontal", by.group = FALSE, nr.group = FALSE,...) {
plotting <- x$plotting
requireNamespace("survival", quietly = TRUE)
if (!("package:survival" %in% search())) {
attachNamespace("survival")
}
requireNamespace("survminer", quietly = TRUE)
if (!("package:survminer" %in% search())) {
attachNamespace("survminer")
}
requireNamespace("gridExtra", quietly = TRUE)
if (!("package:gridExtra" %in% search())) {
attachNamespace("gridExtra")
}
if(length(plotting$nadat2)==1){
fit <- eval(parse(text =paste0("survival::survfit(Surv(Var,event) ~ ",plotting$nadat2[1],", data = plotting$dat)")))
plot_1 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE,
surv.median.line = "hv")
return(plot_1)
}
if(length(plotting$nadat2)==2){
if(by.group == FALSE){
fit <- eval(parse(text =paste0("survival::survfit(Surv(Var,event) ~ ",plotting$nadat2[1]," + ",plotting$nadat2[2],", data = plotting$dat)")))
plot_1 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE,
surv.median.line = "hv",
facet.by = plotting$nadat2[1])
plot_2 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE,
surv.median.line = "hv",
facet.by = plotting$nadat2[2])
if(direction == "horizontal"){
gridExtra::grid.arrange(plot_1, plot_2, ncol=2)
}
if(direction == "vertical"){
gridExtra::grid.arrange(plot_1, plot_2, ncol=1)
}
}
if(by.group == TRUE){
fit <- eval(parse(text =paste0("survival::survfit(Surv(Var,event) ~ ",plotting$nadat2[1]," + ",plotting$nadat2[2],", data = plotting$dat)")))
plot_1 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE,
surv.median.line = "hv",
facet.by = plotting$nadat2[nr.group])
return(plot_1)
}
}
if(length(plotting$nadat2)==3){
stop("Plots for designs with MORE than two factors not implemented!")
}
}
#' @export
print.copsanova <- function(x, ...) {
cat("Call:", "\n")
print(x$input$formula)
cat("\n", "multiplier bootstrap:",x$weights, "\n")
cat("\n", "time window for analysis: [0,",paste0(x$tau,"]"), "\n")
cat("\n", "copSANOVA: concordance probability SANOVA:","\n","\n", sep = "")
print(x$statistic)
}
#' @export
summary.copsanova <- function (object, ...) {
x <- object
print(x)
}
#' @export
plot.copsanova <- function (x, direction = "horizontal", by.group = FALSE, nr.group = FALSE,...) {
plotting <- x$plotting
requireNamespace("survival", quietly = TRUE)
if (!("package:survival" %in% search())) {
attachNamespace("survival")
}
requireNamespace("survminer", quietly = TRUE)
if (!("package:survminer" %in% search())) {
attachNamespace("survminer")
}
requireNamespace("gridExtra", quietly = TRUE)
if (!("package:gridExtra" %in% search())) {
attachNamespace("gridExtra")
}
if(length(plotting$nadat2)==1){
fit <- eval(parse(text =paste0("survival::survfit(Surv(time,event) ~ ",plotting$nadat2[1],", data = plotting$dat)")))
plot_1 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE)
return(plot_1)
}
if(length(plotting$nadat2)==2){
if(by.group == FALSE){
fit <- eval(parse(text =paste0("survival::survfit(Surv(time,event) ~ ",plotting$nadat2[1]," + ",plotting$nadat2[2],", data = plotting$dat)")))
plot_1 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE,
# surv.median.line = "hv",
facet.by = plotting$nadat2[1])
plot_2 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE,
# surv.median.line = "hv",
facet.by = plotting$nadat2[2])
if(direction == "horizontal"){
gridExtra::grid.arrange(plot_1, plot_2, ncol=2)
}
if(direction == "vertical"){
gridExtra::grid.arrange(plot_1, plot_2, ncol=1)
}
}
if(by.group == TRUE){
fit <- eval(parse(text =paste0("survival::survfit(Surv(time,event) ~ ",plotting$nadat2[1]," + ",plotting$nadat2[2],", data = plotting$dat)")))
plot_1 <- survminer::ggsurvplot(fit, data = plotting$dat, fun = "pct",
censor = FALSE,
#ggtheme = theme_bw(),
pval = FALSE,
# surv.median.line = "hv",
facet.by = plotting$nadat2[nr.group])
return(plot_1)
}
}
if(length(plotting$nadat2)==3){
stop("Plots for designs with MORE than two factors not implemented!")
}
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.