Hi,
Just to emphasize Bert's e-mail with a hint, the 'mark.time' argument for
plot.survfit() is FALSE by default.
Regards,
Marc Schwartz
> On Jan 17, 2019, at 2:45 PM, Bert Gunter wrote:
>
> Have you consulted ?plot.survfit ? There are examples for KM plots there.
>
> Also, obvious questio
Have you consulted ?plot.survfit ? There are examples for KM plots there.
Also, obvious question: Have you specfied the censoring properly in your
data and fit?
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley
According to the guidelines (if I'm not mistaken), the code below is
sufficient (without any specification) to give Kaplan-Meier curves with
censored data markings on Kaplan-Meier curves. But in my case censored data
don't appears on the curves?!
library(survival)
mydata<-read.csv (file="C:/mydata
thank you,
it worked properly.
On Thu, Jan 15, 2009 at 4:53 AM, Marc Schwartz wrote:
> on 01/14/2009 03:32 PM John Lande wrote:
> > dear all,
> >
> > I want to plot a kaplan Meier plot with the following functions, but I
> fail
> > to produce the plot I want:
> >
> > library(survival)
> > tim <-
on 01/14/2009 03:32 PM John Lande wrote:
> dear all,
>
> I want to plot a kaplan Meier plot with the following functions, but I fail
> to produce the plot I want:
>
> library(survival)
> tim <- (1:50)/6
> ind <- runif(50)
> ind[ind > 0.5] <- 1; ind[ind < 0.5] <- 0;
> MS <- runif(50)
> pred <- vec
dear all,
I want to plot a kaplan Meier plot with the following functions, but I fail
to produce the plot I want:
library(survival)
tim <- (1:50)/6
ind <- runif(50)
ind[ind > 0.5] <- 1; ind[ind < 0.5] <- 0;
MS <- runif(50)
pred <- vector()
pred[MS < 0.3] <- 0; pred[MS >= 0.3] <- 1
df <- as.data.f
dear all,
I want to plot a kaplan Meier plot with the following functions, but I fail
to produce the plot I want:
library(survival)
tim <- (1:50)/6
ind <- runif(50)
ind[ind > 0.5] <- 1; ind[ind < 0.5] <- 0;
MS <- runif(50)
pred <- vector()
pred[MS < 0.3] <- 0; pred[MS >= 0.3] <- 1
df <- as.data.f
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