jamovi

I guess depends what you want to do.. once you get the hang of it, data preparation and manipulation is much faster easier and flexible in R directly, also jamovi doesn't do every possible analysis that R can do (one example off the top of my head: latent transition profiles).. if your data are alre...

it's a random sub-sample from your own sample

Hi, I have attached an image of my data on Jamovi after gathering data from participants using an online questionnaire. I am investigating the effect of pre-term birth AND low birth weight on psychosocial outcomes in adolescence/adulthood. Therefore, as you can see from the image, participants firs...

Change the variable type to factor (though I'm guessing it already is), or change the values to be numeric, like 0 or 1

what format is the file in? What error do you receive/what happens?

It looks like it's "log": https://www.rdocumentation.org/packages/survival/versions/2.11-4/topics/survfit See code lines 154-170 in the link Jonathon posted, in particular: s <- survival::survfit(survival::Surv(times, status) ~ group, data=tmpDat) This uses the default values from survival...

I agree, documentation would be nice... Have you tried changing the "Endorsed option" value in the analysis? (or at least made sure it made sense?)

Can you please show some output, particularly in terms of the difference between the R and jamovi analyses?