The data frame is lwf that records the survival of bushes over an 8 year period. Years are called bouts. Dead bushes are recorded as zeros, and live bushes as "1." str(lwf) 'data.frame': 638 obs. of 9 variables: $ bushno: int 1 2 3 4 5 6 7 8 9 10 ... $ bout1 : int 0 1 0 1 1 1 0 1 0 1 ... $ bout2 : int 0 1 0 0 0 0 0 0 0 1 ... $ bout3 : int 0 1 0 0 0 0 0 0 0 1 ... $ bout4 : int 0 1 0 0 0 0 0 0 0 0 ... $ bout5 : int 0 1 0 0 0 0 0 0 0 0 ... $ bout6 : int 0 1 0 0 0 0 0 0 0 0 ... $ bout7 : int 0 1 0 0 0 0 0 0 0 0 ... $ bout8 : int 0 1 0 0 0 0 0 0 0 0 ...
head(lwf) bushno bout1 bout2 bout3 bout4 bout5 bout6 bout7 bout8 1 1 0 0 0 0 0 0 0 0 2 2 1 1 1 1 1 1 1 1 3 3 0 0 0 0 0 0 0 0 4 4 1 0 0 0 0 0 0 0 5 5 1 0 0 0 0 0 0 0 6 6 1 0 0 0 0 0 0 0 A number of the data are incorrect. For example, that for bush 145 in year three is recorded as dead="0" when it should be alive ="1." The bushes do not come back to life after they die. > lwf[lw$bushno==145,] bushno bout1 bout2 bout3 bout4 bout5 bout6 bout7 bout8 144 145 1 1 0 1 1 1 1 1 I know that I can do this with fix(lwf) or edit(lwf). However, I would like to learn some more R. What code could I use to correct these data? I have been screwing around with such as lwfb[(lwf$bushno==145) & (lwf$bout3==0),0]<- lwf[(lwf$bushno==145) & (lwf$bout3==0),1] to no avail. Any help appreciated.Thanks, MN -- View this message in context: http://r.789695.n4.nabble.com/correcting-a-few-data-in-a-large-data-frame-tp2237834p2237834.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.