Your query is a bit unclear, but I suspect ?plot
and a **careful read** about types "s" and "S" therein would address your problem. Cheers, Bert Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." Clifford Stoll On Thu, Aug 14, 2014 at 8:07 AM, Jaiprasart, Pharavee (HSC) <pharavee-jaipras...@ouhsc.edu> wrote: > Hi all, > > > > I'd like to make a step plot of Time vs Response graph. > > This is the example of my data frame - the real data frame has more than a > thousand rows. > > > > Time Duration of infusion Infusion Rate > Response Subtype > > 0 3 > 2 5 0 > > 3 6 > 3 6 0 > > 9 6 > 4 4 0 > > > > I cannot just use type = c("s") for this because I also want to use the value > of the in between time for further calculation too (If I ask the program for > Response of time == 4, I want it to return "6"). > > > > The way I think the script should work is that: > > > > For all rows that has subtype ==0, if time is between the value of row /i/ > and /i+1/ (e.g. row 1 and 2 which is 0-3), make a new column "Dummy" and > return the value of row /i/ from the Response column (e.g. 5 in this > > example) , and do these for all rows (e.g. any time between row 2 and 3 which > is 3-9, make a new column and return 6). Then I can say if Time>0 (value in > column1) and <3 (value from column 1+2), y = value in Dummy > > > > Is there any way to do this in R? > > > > Thanks! > > Pharavee > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. ______________________________________________ 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.