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plot Predicted survival probabilitie
2 messages · matteo pettinari, David Winsemius
On Jun 8, 2013, at 4:58 AM, matteo pettinari wrote:
Dear
I would like to find a nice way to plot the predicted survival obtained
from a cph fit and few covariates as Age etc...
I am working with "predict" from rms package but i found a problem after
the lines
predict(cox5, type="lp", se.fit=FALSE, conf.int=TRUE, conf.type=c('mean'))
Many functions in rms woek better with Predict()
Error in Getlimi(name[i], Limval, need.all = TRUE) : no limits defined by datadist for variable Age
You need to read: ?datadist And then create a datyadist and don't do what I do all the time and for get to set the options() The code you offer does not have the cph call which would have been needed to construct a proper datadist argument. Perhaps something like: ddname <- datadist(yourdataframe) options(datadist="ddname")
-- can someone give me any advice about this problem and to create nice plot with x axis a continuous predictor and y axis the predicted survival? Thank you Dr. Matteo Pettinari matteo.pettinari at gmail.com matteo.pettinari at uzleuven.be Tervuursestraat 43 | 3000 | Leuven | Belgium [[alternative HTML version deleted]]
Please learn to post in plain text. David Winsemius Alameda, CA, USA