Hi. I am looking for a function for left-truncated data. I have one data set with 2 variables (Hours~Yrs_Ed). I already left-censored the data at 200 and left-truncated it at the same spot, so that I am able to make 2 estimations (one for censoring and one for truncation). I know how to make the linear regression for the left-censored variable (hours) and how to plot the regression line into the (x,y) plot (packages AER, Zeileis, Survival, ...):
tfit<-survreg(Surv(Hours,Hours>0, type='left')~Yrs_Ed,data=DataWomen,dist='gaussian') z<-predict(tfit,type="response") plot(Yrs_Ed,Hours) abline(tfit) My aim is to compare the effects of truncation and censoring graphically by plotting the two regression lines into one plot with both datasets (censored and truncated). I just can't figure out how to write the function for left-truncated data and what package to use for this. I only need "left-truncation", not "left-truncation and right-censoring". I hope somebody can help me with that matter. Zita -- View this message in context: http://www.nabble.com/Left-truncated-regression-tp20789446p20789446.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.