It worked, initially I made some mistake.
Thanks a lot. Trying to read basics of R. Puja On Fri, Jan 31, 2020 at 1:06 PM pooja sinha <pjsinh...@gmail.com> wrote: > Thanks but it gives error "incorrect number of dimensions". > > > Best, > Puja > > On Fri, Jan 31, 2020 at 11:37 AM K. Elo <mailli...@pp.inet.fi> wrote: > >> Hi! >> >> To extract full rows, use: >> >> df[ ( (df$Value>=0.2 & df$Value<=0.4) | df$Value>=0.7 ), ] >> >> >> But it is also a good idea to start reading some introductory >> tutorials. These are basic things you can find in all tutorials :-) >> >> Best, >> Kimmo >> >> pe, 2020-01-31 kello 10:50 -0500, pooja sinha kirjoitti: >> > Thanks for providing the code but I also needed the output sheet in >> > .csv format with all the four columns corresponding to the value >> > (Chrom, >> > Start_pos, End_pos & Value ranging from what I specified earlier). >> > >> > Puja >> > >> > On Fri, Jan 31, 2020 at 10:23 AM K. Elo <mailli...@pp.inet.fi> wrote: >> > >> > > Hi! >> > > >> > > Oh, sorry, one "s" too much in my code. Here the correct one: >> > > >> > > df$Value[ (df$Value>=0.2 & df$Value<=0.4) | df$Value>=0.7 ] >> > > >> > > Best, >> > > Kimmo >> > > >> > > pe, 2020-01-31 kello 17:12 +0200, K. Elo kirjoitti: >> > > > Hi! >> > > > >> > > > Let's assume your data is stored in a data frame called 'df'. So >> > > > this >> > > > code should do the job: >> > > > >> > > > df$Value[ (df$Value>=0.2 & df$Values<=0.4) | df$Value>=0.7 ] >> > > > >> > > > Best, >> > > > Kimmo >> > > > >> > > > >> > > > >> > > > pe, 2020-01-31 kello 09:21 -0500, pooja sinha kirjoitti: >> > > > > Hi All, >> > > > > >> > > > > I have a .csv file with four columns (Chrom, Start_pos, End_pos >> > > > > & >> > > > > Value). >> > > > > The value column range from 0 to 1.0 having more than 2.8 >> > > > > million >> > > > > rows. I >> > > > > need to write a code from which I can extract the values from >> > > > > 0.2- >> > > > > 0.4 >> > > > > & >> > > > > 0.7-1.0. Could anyone help me in writing the code because I am >> > > > > new >> > > > > to >> > > > > R and >> > > > > it takes lot of time manually to sort based on values. >> > > > > >> > > > > The only part I know is I can read the .csv file and after that >> > > > > I >> > > > > don’t >> > > > > know how to proceed further. >> > > > > >> > > > > >> > > > > Thanks, >> > > > > >> > > > > Puja >> > > > > >> > > > > [[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. >> > > > >> > > > ______________________________________________ >> > > > 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. >> > > >> > > ______________________________________________ >> > > 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. >> > > >> >> ______________________________________________ >> 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.