Missing Values in Variables: survfit and ggsurvplot

[xemnas]

Hi, new here so please excuse me if I fall foul.

Trying to do some survival analysis of a dataset, using survfit() and ggsurvplot(). The variable I'm using is either high or low, but some of these values are missing.

I've run the same script on my Mac, and it doesn't include the missing values. But when I run it on my desktop, there are three lines on the resulting plot: high, low, and a category without a name, presumably the missing values.

I was wondering if anyone knows how why this occurs on my desktop and not my Mac.

Script:
survobject = Surv(data$time, event = data$status)
variablefit = survfit(survobject ~ variable, data = data)
ggsurvplot(variablefit, data = data, pval=TRUE, conf.int=TRUE)

Thanks for any help/tips!

[pieterjanvc]

Hello,

In order for us to help you with your question, please provide us a minimal reprocudible example where you provide a minimal (dummy) dataset and code that can recreate the issue. One we have that, we can go from there. For help on creating a Reprex, see this guide:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

Good luck!
PJ