I know a few good books where this is explained.

This free one for example: http://cran.r-project.org/doc/manuals/R-intro.pdf
chapters 4 and 6.

Or http://rfordummies.com/ if you insist on paying for it.

PS: Jeff, R is not C. different place in the alphabet and all...


On Wed, Apr 2, 2014 at 2:55 AM, Sandip Nandi <sanna...@umail.iu.edu> wrote:

> Hi Jeff ,
>
> I dont think so ,
>
> > df[[0]]
> Error in .subset2(x, i, exact = exact) :
>   attempt to select less than one element
> >
> >
> > df[[1]]
> [1] F M M F F M F F
> Levels: F M
> > df[[2]]
> [1] 23 25 27 29 31 33 35 37
>
> Thanks
>
>
> On Tue, Apr 1, 2014 at 5:51 PM, Jeff Johnson <mrjeffto...@gmail.com>
> wrote:
>
> > Perhaps because indexes start at 0?
> >
> > Sent from my iPhone
> >
> > > On Apr 1, 2014, at 5:46 PM, Sandip Nandi <sanna...@umail.iu.edu>
> wrote:
> > >
> > > Hi ,
> > >
> > > I want to know is this behavior expected and why is that ? Need some
> help
> > >
> > > gender <- c("F", "M", "M", "F", "F", "M", "F", "F")
> > >> age    <- c(23, 25, 27, 29, 31, 33, 35, 37)
> > >> df<- data.frame(gender,age)
> > >> typeof(df[[1]])
> > > [1] "integer"   >>>>>>>>>>>>>  Why is this integer . *Should not it be
> > > character ?*
> > >> typeof(df[[2]])
> > > [1] "double"
> > >
> > >> typeof(gender)
> > > [1] "character"
> > >> typeof(age)
> > > [1] "double"
> > >
> > > In my code i am trying to do some thing based on typeof and the type
> for
> > > character column is strange.
> > >
> > > Thanks,
> > > Sandip
> > >
> > >    [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
> > > R-devel@r-project.org mailing list
> > > https://stat.ethz.ch/mailman/listinfo/r-devel
> >
>
>         [[alternative HTML version deleted]]
>
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>



-- 
Joris Meys
Statistical consultant

Ghent University
Faculty of Bioscience Engineering
Department of Mathematical Modelling, Statistics and Bio-Informatics

tel : +32 9 264 59 87
joris.m...@ugent.be
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