Thank you so much Jim! On Sat, Feb 24, 2018 at 6:38 PM, Jim Lemon <drjimle...@gmail.com> wrote:
> Hi Val, > My fault - I assumed that the NA would be first in the result produced > by "unique": > > mydat <- read.table(textConnection("Col1 Col2 col3 > Z1 K1 K2 > Z2 NA NA > Z3 X1 NA > Z4 Y1 W1"),header = TRUE,stringsAsFactors=FALSE) > val23<-unique(unlist(mydat[,c("Col2","col3")])) > napos<-which(is.na(val23)) > preval<-data.frame(Col1=val23[-napos], > Col2=NA,col3=NA) > mydat<-rbind(preval,mydat) > mydat[is.na(mydat)]<-"0" > mydat > > Jim > > On Sun, Feb 25, 2018 at 11:27 AM, Val <valkr...@gmail.com> wrote: > > Thank you Jim, > > > > I read the data as you suggested but I could not find K1 in col1. > > > > rbind(preval,mydat) > > Col1 Col2 col3 > > 1 <NA> <NA> <NA> > > 2 X1 <NA> <NA> > > 3 Y1 <NA> <NA> > > 4 K2 <NA> <NA> > > 5 W1 <NA> <NA> > > 6 Z1 K1 K2 > > 7 Z2 <NA> <NA> > > 8 Z3 X1 <NA> > > 9 Z4 Y1 W1 > > > > > > > > On Sat, Feb 24, 2018 at 6:18 PM, Jim Lemon <drjimle...@gmail.com> wrote: > >> > >> hi Val, > >> Your problem seems to be that the data are read in as a factor. The > >> simplest way I can think of to get around this is: > >> > >> mydat <- read.table(textConnection("Col1 Col2 col3 > >> Z1 K1 K2 > >> Z2 NA NA > >> Z3 X1 NA > >> Z4 Y1 W1"),header = TRUE,stringsAsFactors=FALSE) > >> preval<-data.frame(Col1=unique(unlist(mydat[,c("Col2","col3")]))[-1], > >> Col2=NA,col3=NA) > >> rbind(preval,mydat) > >> mydat[is.na(mydat)]<-"0" > >> > >> Jiim > >> > >> > >> On Sun, Feb 25, 2018 at 11:05 AM, Val <valkr...@gmail.com> wrote: > >> > Sorry , I hit the send key accidentally here is my complete message. > >> > > >> > Thank you Jim and all, I got it. > >> > > >> > I have one more question on the original question > >> > > >> > What does this "[-1] " do? > >> > preval<-data.frame(Col1=unique(unlist(mydat[,c("Col2","col3")]))[-1], > >> > Col2=NA,col3=NA) > >> > > >> > > >> > mydat <- read.table(textConnection("Col1 Col2 col3 > >> > Z1 K1 K2 > >> > Z2 NA NA > >> > Z3 X1 NA > >> > Z4 Y1 W1"),header = TRUE) > >> > > >> > preval<-data.frame(Col1=unique(unlist(mydat[,c("Col2","col3")]))[-1], > >> > Col2=NA,col3=NA) > >> > rbind(unique(preval),mydat) > >> > > >> > > >> > Col1 Col2 col3 > >> > 1 <NA> <NA> <NA> > >> > 2 X1 <NA> <NA> > >> > 3 Y1 <NA> <NA> > >> > 4 K2 <NA> <NA> > >> > 5 W1 <NA> <NA> > >> > 6 Z1 K1 K2 > >> > 7 Z2 <NA> <NA> > >> > 8 Z3 X1 <NA> > >> > 9 Z4 Y1 W1 > >> > > >> > I could not find K1 in the first col1. Is that possible to fix this? > >> > > >> > On Sat, Feb 24, 2018 at 5:59 PM, Val <valkr...@gmail.com> wrote: > >> > > >> >> Thank you Jim and all, I got it. > >> >> > >> >> I have one more question on the original question > >> >> > >> >> What does this "[-1] " do? > >> >> preval<-data.frame(Col1=unique(unlist(mydat[,c("Col2", > "col3")]))[-1], > >> >> Col2=NA,col3=NA) > >> >> > >> >> > >> >> mydat <- read.table(textConnection("Col1 Col2 col3 > >> >> Z1 K1 K2 > >> >> Z2 NA NA > >> >> Z3 X1 NA > >> >> Z4 Y1 W1"),header = TRUE) > >> >> > >> >> preval<-data.frame(Col1=unique(unlist(mydat[,c("Col2", > "col3")]))[-1], > >> >> Col2=NA,col3=NA) > >> >> rbind(unique(preval),mydat) > >> >> > >> >> > >> >> Col1 Col2 col3 > >> >> 1 <NA> <NA> <NA> > >> >> 2 X1 <NA> <NA> > >> >> 3 Y1 <NA> <NA> > >> >> 4 K2 <NA> <NA> > >> >> 5 W1 <NA> <NA> > >> >> 6 Z1 K1 K2 > >> >> 7 Z2 <NA> <NA> > >> >> 8 Z3 X1 <NA> > >> >> 9 Z4 Y1 W1 > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> > >> >> On Sat, Feb 24, 2018 at 5:04 PM, Duncan Murdoch > >> >> <murdoch.dun...@gmail.com> > >> >> wrote: > >> >> > >> >>> On 24/02/2018 1:53 PM, William Dunlap via R-help wrote: > >> >>> > >> >>>> x1 = rbind(unique(preval),mydat) > >> >>>> x2 <- x1[is.na(x1)] <- 0 > >> >>>> x2 # gives 0 > >> >>>> > >> >>>> Why introduce the 'x2'? x1[...] <- 0 alters x1 in place and I > think > >> >>>> that > >> >>>> altered x1 is what you want. > >> >>>> > >> >>>> You asked why x2 was zero. The value of the expression > >> >>>> f(a) <- b > >> >>>> and assignments are processed right to left so > >> >>>> x2 <- x[!is.na(x1)] <- 0 > >> >>>> is equivalent to > >> >>>> x[!is.na(x1)] <- 0 > >> >>>> x2 <- 0 > >> >>>> > >> >>> > >> >>> That's not right in general, is it? I'd think that should be > >> >>> > >> >>> x[!is.na(x1)] <- 0 > >> >>> x2 <- x1 > >> >>> > >> >>> Of course, in this example, x1 is 0, so it gives the same answer. > >> >>> > >> >>> Duncan Murdoch > >> >>> > >> >>> > >> >>> > >> >>>> > >> >>>> Bill Dunlap > >> >>>> TIBCO Software > >> >>>> wdunlap tibco.com > >> >>>> > >> >>>> On Sat, Feb 24, 2018 at 9:59 AM, Val <valkr...@gmail.com> wrote: > >> >>>> > >> >>>> Thank you Jim > >> >>>>> > >> >>>>> I wanted a final data frame after replacing the NA's to "0" > >> >>>>> > >> >>>>> x1 = rbind(unique(preval),mydat) > >> >>>>> x2 <- x1[is.na(x1)] <- 0 > >> >>>>> x2 > >> >>>>> but I got this, > >> >>>>> > >> >>>>> [1] 0 > >> >>>>> > >> >>>>> why I am getting this? > >> >>>>> > >> >>>>> > >> >>>>> On Sat, Feb 24, 2018 at 12:17 AM, Jim Lemon <drjimle...@gmail.com > > > >> >>>>> wrote: > >> >>>>> > >> >>>>> Hi Val, > >> >>>>>> Try this: > >> >>>>>> > >> >>>>>> > >> >>>>>> preval<-data.frame(Col1=unique(unlist(mydat[,c("Col2", > "col3")]))[-1], > >> >>>>>> Col2=NA,col3=NA) > >> >>>>>> rbind(preval,mydat) > >> >>>>>> > >> >>>>>> Jim > >> >>>>>> > >> >>>>>> On Sat, Feb 24, 2018 at 3:34 PM, Val <valkr...@gmail.com> wrote: > >> >>>>>> > >> >>>>>>> Hi All, > >> >>>>>>> > >> >>>>>>> I am reading a file as follow, > >> >>>>>>> > >> >>>>>>> mydat <- read.table(textConnection("Col1 Col2 col3 > >> >>>>>>> Z2 NA NA > >> >>>>>>> Z3 X1 NA > >> >>>>>>> Z4 Y1 W1"),header = TRUE) > >> >>>>>>> > >> >>>>>>> 1. "NA" are missing should be replace by 0 > >> >>>>>>> 2. value that are in COl2 and Col3 should be included in col1 > >> >>>>>>> before > >> >>>>>>> they appear > >> >>>>>>> in col2 and col3. So the output data looks like as follow, > >> >>>>>>> > >> >>>>>>> X1 0 0 > >> >>>>>>> Y1 0 0 > >> >>>>>>> W1 0 0 > >> >>>>>>> Z2 0 0 > >> >>>>>>> Z3 X1 0 > >> >>>>>>> Z4 Y1 W1 > >> >>>>>>> > >> >>>>>>> Thank you in advance > >> >>>>>>> > >> >>>>>>> [[alternative HTML version deleted]] > >> >>>>>>> > >> >>>>>>> ______________________________________________ > >> >>>>>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, > see > >> >>>>>>> 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. > >> >>>>>>> > >> >>>>>> > >> >>>>>> > >> >>>>> [[alternative HTML version deleted]] > >> >>>>> > >> >>>>> ______________________________________________ > >> >>>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > >> >>>>> 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. > >> >>>>> > >> >>>>> > >> >>>> [[alternative HTML version deleted]] > >> >>>> > >> >>>> ______________________________________________ > >> >>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > >> >>>> https://stat.ethz.ch/mailman/listinfo/r-help > >> >>>> PLEASE do read the posting guide http://www.R-project.org/posti > >> >>>> ng-guide.html > >> >>>> and provide commented, minimal, self-contained, reproducible code. > >> >>>> > >> >>>> > >> >>> > >> >> > >> > > >> > [[alternative HTML version deleted]] > >> > > >> > ______________________________________________ > >> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > >> > 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. > > > > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.