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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
> # 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:
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
t.org
> Subject: [R] how to manage missing values correctly when importing a data
> frame
>
> Dear R users,
> I have a data frame with 22 columns, called Storia_RM_RT. Here the first 4
> rows:
>
> Station_RM Sensor_RM Place_RM Y_init_RM M_init_RM D_init_RM
> Long_cent_RM
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"),
Dear R users,
I have a data frame with 22 columns, called Storia_RM_RT. Here the first 4 rows:
Station_RM Sensor_RM Place_RM Y_init_RM M_init_RM D_init_RM Long_cent_RM
Lat_cent_RM Height_RM Continues Station_RT Sensor_RT Place_RT Name1_RT Name2_RT
Long_cent_RT Lat_cent_RT Height_RT Actual_net No
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