Re: [R] how to manage missing values correctly when importing a data frame

2016-09-07 Thread Ivan Calandra
.org Oggetto: Re: [R] how to manage missing values correctly when importing a data frame R is refusing to make unwarranted assumptions about your data. See inline. # it's nicer to use dput() instead of pasting raw data Storia_RM_RT <- structure(list(Station_RM = c(1400L, 1460L, 1500

Re: [R] how to manage missing values correctly when importing a data frame

2016-09-07 Thread Sarah Goslee
> # lets the user decide how to handle the missing data, rather than making > # assumptions. > > Again, sorry for my question > Stefano > > > Da: Sarah Goslee [sarah.gos...@gmail.com] > Inviato: mercoledì 7 settembre 2016 15.11 > A:

Re: [R] how to manage missing values correctly when importing a data frame

2016-09-07 Thread Stefano Sofia
e the missing data, rather than making # assumptions. Again, sorry for my question Stefano Da: Sarah Goslee [sarah.gos...@gmail.com] Inviato: mercoledì 7 settembre 2016 15.11 A: Stefano Sofia Cc: r-help@r-project.org Oggetto: Re: [R] how to manage missing val

Re: [R] how to manage missing values correctly when importing a data frame

2016-09-07 Thread PIKAL Petr
Hi Although you did not present your data in suitable format I do not see any problem. See in line > -Original Message- > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Stefano > Sofia > Sent: Wednesday, September 7, 2016 1:09 PM > To: r-help@r-project.org > Subject: [R

Re: [R] how to manage missing values correctly when importing a data frame

2016-09-07 Thread Sarah Goslee
R is refusing to make unwarranted assumptions about your data. See inline. # it's nicer to use dput() instead of pasting raw data Storia_RM_RT <- structure(list(Station_RM = c(1400L, 1460L, 1500L, 1520L), Sensor_RM = 2701:2704, Place_RM = c("Novafeltria", "Carpegna", "Pesaro", "Fano"),