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Subset

Shane Carey
Hi,

How do I extract just numbers from the following list:

a=c("<0.1",NA,0.3,5,Nil)

so I want to obtain: 0.3 and 5 from the above list

Thanks


--
Le gach dea ghui,
*Shane Carey*
*GIS and Data Solutions Consultant*

        [[alternative HTML version deleted]]

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Re: Subset

Boris Steipe
> a <- c("<0.1", NA, 0.3, 5, "Nil")
> a
[1] "<0.1" NA     "0.3"  "5"    "Nil"

> b <- as.numeric(a)
Warning message:
NAs introduced by coercion
> b
[1]  NA  NA 0.3 5.0  NA

> b[! is.na(b)]
[1] 0.3 5.0


B.


> On Sep 22, 2017, at 11:48 AM, Shane Carey <[hidden email]> wrote:
>
> Hi,
>
> How do I extract just numbers from the following list:
>
> a=c("<0.1",NA,0.3,5,Nil)
>
> so I want to obtain: 0.3 and 5 from the above list
>
> Thanks
>
>
> --
> Le gach dea ghui,
> *Shane Carey*
> *GIS and Data Solutions Consultant*
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> [hidden email] 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.

______________________________________________
[hidden email] 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.
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Re: Subset

Shane Carey
Super,

Thanks

On Fri, Sep 22, 2017 at 4:57 PM, Boris Steipe <[hidden email]>
wrote:

> > a <- c("<0.1", NA, 0.3, 5, "Nil")
> > a
> [1] "<0.1" NA     "0.3"  "5"    "Nil"
>
> > b <- as.numeric(a)
> Warning message:
> NAs introduced by coercion
> > b
> [1]  NA  NA 0.3 5.0  NA
>
> > b[! is.na(b)]
> [1] 0.3 5.0
>
>
> B.
>
>
> > On Sep 22, 2017, at 11:48 AM, Shane Carey <[hidden email]> wrote:
> >
> > Hi,
> >
> > How do I extract just numbers from the following list:
> >
> > a=c("<0.1",NA,0.3,5,Nil)
> >
> > so I want to obtain: 0.3 and 5 from the above list
> >
> > Thanks
> >
> >
> > --
> > Le gach dea ghui,
> > *Shane Carey*
> > *GIS and Data Solutions Consultant*
> >
> >       [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > [hidden email] 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.
>
>


--
Le gach dea ghui,
*Shane Carey*
*GIS and Data Solutions Consultant*

        [[alternative HTML version deleted]]

______________________________________________
[hidden email] mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
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and provide commented, minimal, self-contained, reproducible code.
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Re: Subset

Shane Carey
Hi,

Lets say this was a dataframe where I had two columns

a <- c("<0.1", NA, 0.3, 5, "Nil")
b <- c("<0.1", 1, 0.3, 5, "Nil")

And I just want to remove the rows from the dataframe where there were NAs
in the b column, what is the syntax for doing that?

Thanks in advance

On Fri, Sep 22, 2017 at 5:04 PM, Shane Carey <[hidden email]> wrote:

> Super,
>
> Thanks
>
> On Fri, Sep 22, 2017 at 4:57 PM, Boris Steipe <[hidden email]>
> wrote:
>
>> > a <- c("<0.1", NA, 0.3, 5, "Nil")
>> > a
>> [1] "<0.1" NA     "0.3"  "5"    "Nil"
>>
>> > b <- as.numeric(a)
>> Warning message:
>> NAs introduced by coercion
>> > b
>> [1]  NA  NA 0.3 5.0  NA
>>
>> > b[! is.na(b)]
>> [1] 0.3 5.0
>>
>>
>> B.
>>
>>
>> > On Sep 22, 2017, at 11:48 AM, Shane Carey <[hidden email]> wrote:
>> >
>> > Hi,
>> >
>> > How do I extract just numbers from the following list:
>> >
>> > a=c("<0.1",NA,0.3,5,Nil)
>> >
>> > so I want to obtain: 0.3 and 5 from the above list
>> >
>> > Thanks
>> >
>> >
>> > --
>> > Le gach dea ghui,
>> > *Shane Carey*
>> > *GIS and Data Solutions Consultant*
>> >
>> >       [[alternative HTML version deleted]]
>> >
>> > ______________________________________________
>> > [hidden email] 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.
>>
>>
>
>
> --
> Le gach dea ghui,
> *Shane Carey*
> *GIS and Data Solutions Consultant*
>



--
Le gach dea ghui,
*Shane Carey*
*GIS and Data Solutions Consultant*

        [[alternative HTML version deleted]]

______________________________________________
[hidden email] mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
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Re: Subset

Boris Steipe
myDF <- data.frame(a = c("<0.1", NA, 0.3, 5, "Nil"),
                   b = c("<0.1", 1, 0.3, 5, "Nil"),
                   stringsAsFactors = FALSE)

# you can subset the b-column in several ways

myDF[ , 2]
myDF[ , "b"]
myDF$b

# using the column, you make a logical vector
! is.na(as.numeric(myDF$b))


# This can be used to select the rows you want

myDF[! is.na(as.numeric(myDF$b)), ]



B.


> On Sep 25, 2017, at 7:30 AM, Shane Carey <[hidden email]> wrote:
>
> Hi,
>
> Lets say this was a dataframe where I had two columns
>
> a <- c("<0.1", NA, 0.3, 5, "Nil")
> b <- c("<0.1", 1, 0.3, 5, "Nil")
>
> And I just want to remove the rows from the dataframe where there were NAs in the b column, what is the syntax for doing that?
>
> Thanks in advance
>
> On Fri, Sep 22, 2017 at 5:04 PM, Shane Carey <[hidden email]> wrote:
> Super,
>
> Thanks
>
> On Fri, Sep 22, 2017 at 4:57 PM, Boris Steipe <[hidden email]> wrote:
> > a <- c("<0.1", NA, 0.3, 5, "Nil")
> > a
> [1] "<0.1" NA     "0.3"  "5"    "Nil"
>
> > b <- as.numeric(a)
> Warning message:
> NAs introduced by coercion
> > b
> [1]  NA  NA 0.3 5.0  NA
>
> > b[! is.na(b)]
> [1] 0.3 5.0
>
>
> B.
>
>
> > On Sep 22, 2017, at 11:48 AM, Shane Carey <[hidden email]> wrote:
> >
> > Hi,
> >
> > How do I extract just numbers from the following list:
> >
> > a=c("<0.1",NA,0.3,5,Nil)
> >
> > so I want to obtain: 0.3 and 5 from the above list
> >
> > Thanks
> >
> >
> > --
> > Le gach dea ghui,
> > *Shane Carey*
> > *GIS and Data Solutions Consultant*
> >
> >       [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > [hidden email] 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.
>
>
>
>
> --
> Le gach dea ghui,
> Shane Carey
> GIS and Data Solutions Consultant
>
>
>
> --
> Le gach dea ghui,
> Shane Carey
> GIS and Data Solutions Consultant

______________________________________________
[hidden email] 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.
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Re: Subset

Shane Carey
This is super, really helpfull. Sorry, one final question, lets say I
wanted to remove 0's rather than NAs , what would it be?

Thanks

On Mon, Sep 25, 2017 at 12:41 PM, Boris Steipe <[hidden email]>
wrote:

> myDF <- data.frame(a = c("<0.1", NA, 0.3, 5, "Nil"),
>                    b = c("<0.1", 1, 0.3, 5, "Nil"),
>                    stringsAsFactors = FALSE)
>
> # you can subset the b-column in several ways
>
> myDF[ , 2]
> myDF[ , "b"]
> myDF$b
>
> # using the column, you make a logical vector
> ! is.na(as.numeric(myDF$b))
>
>
> # This can be used to select the rows you want
>
> myDF[! is.na(as.numeric(myDF$b)), ]
>
>
>
> B.
>
>
> > On Sep 25, 2017, at 7:30 AM, Shane Carey <[hidden email]> wrote:
> >
> > Hi,
> >
> > Lets say this was a dataframe where I had two columns
> >
> > a <- c("<0.1", NA, 0.3, 5, "Nil")
> > b <- c("<0.1", 1, 0.3, 5, "Nil")
> >
> > And I just want to remove the rows from the dataframe where there were
> NAs in the b column, what is the syntax for doing that?
> >
> > Thanks in advance
> >
> > On Fri, Sep 22, 2017 at 5:04 PM, Shane Carey <[hidden email]>
> wrote:
> > Super,
> >
> > Thanks
> >
> > On Fri, Sep 22, 2017 at 4:57 PM, Boris Steipe <[hidden email]>
> wrote:
> > > a <- c("<0.1", NA, 0.3, 5, "Nil")
> > > a
> > [1] "<0.1" NA     "0.3"  "5"    "Nil"
> >
> > > b <- as.numeric(a)
> > Warning message:
> > NAs introduced by coercion
> > > b
> > [1]  NA  NA 0.3 5.0  NA
> >
> > > b[! is.na(b)]
> > [1] 0.3 5.0
> >
> >
> > B.
> >
> >
> > > On Sep 22, 2017, at 11:48 AM, Shane Carey <[hidden email]> wrote:
> > >
> > > Hi,
> > >
> > > How do I extract just numbers from the following list:
> > >
> > > a=c("<0.1",NA,0.3,5,Nil)
> > >
> > > so I want to obtain: 0.3 and 5 from the above list
> > >
> > > Thanks
> > >
> > >
> > > --
> > > Le gach dea ghui,
> > > *Shane Carey*
> > > *GIS and Data Solutions Consultant*
> > >
> > >       [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
> > > [hidden email] 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.
> >
> >
> >
> >
> > --
> > Le gach dea ghui,
> > Shane Carey
> > GIS and Data Solutions Consultant
> >
> >
> >
> > --
> > Le gach dea ghui,
> > Shane Carey
> > GIS and Data Solutions Consultant
>
>


--
Le gach dea ghui,
*Shane Carey*
*GIS and Data Solutions Consultant*

        [[alternative HTML version deleted]]

______________________________________________
[hidden email] 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.
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Re: Subset

Boris Steipe
Always via logical expressions. In this case you can use the logical expression

myDF$b  != "0"

to give you a vector of TRUE/FALSE



B.


> On Sep 25, 2017, at 8:00 AM, Shane Carey <[hidden email]> wrote:
>
> This is super, really helpfull. Sorry, one final question, lets say I wanted to remove 0's rather than NAs , what would it be?
>
> Thanks
>
> On Mon, Sep 25, 2017 at 12:41 PM, Boris Steipe <[hidden email]> wrote:
> myDF <- data.frame(a = c("<0.1", NA, 0.3, 5, "Nil"),
>                    b = c("<0.1", 1, 0.3, 5, "Nil"),
>                    stringsAsFactors = FALSE)
>
> # you can subset the b-column in several ways
>
> myDF[ , 2]
> myDF[ , "b"]
> myDF$b
>
> # using the column, you make a logical vector
> ! is.na(as.numeric(myDF$b))
>
>
> # This can be used to select the rows you want
>
> myDF[! is.na(as.numeric(myDF$b)), ]
>
>
>
> B.
>
>
> > On Sep 25, 2017, at 7:30 AM, Shane Carey <[hidden email]> wrote:
> >
> > Hi,
> >
> > Lets say this was a dataframe where I had two columns
> >
> > a <- c("<0.1", NA, 0.3, 5, "Nil")
> > b <- c("<0.1", 1, 0.3, 5, "Nil")
> >
> > And I just want to remove the rows from the dataframe where there were NAs in the b column, what is the syntax for doing that?
> >
> > Thanks in advance
> >
> > On Fri, Sep 22, 2017 at 5:04 PM, Shane Carey <[hidden email]> wrote:
> > Super,
> >
> > Thanks
> >
> > On Fri, Sep 22, 2017 at 4:57 PM, Boris Steipe <[hidden email]> wrote:
> > > a <- c("<0.1", NA, 0.3, 5, "Nil")
> > > a
> > [1] "<0.1" NA     "0.3"  "5"    "Nil"
> >
> > > b <- as.numeric(a)
> > Warning message:
> > NAs introduced by coercion
> > > b
> > [1]  NA  NA 0.3 5.0  NA
> >
> > > b[! is.na(b)]
> > [1] 0.3 5.0
> >
> >
> > B.
> >
> >
> > > On Sep 22, 2017, at 11:48 AM, Shane Carey <[hidden email]> wrote:
> > >
> > > Hi,
> > >
> > > How do I extract just numbers from the following list:
> > >
> > > a=c("<0.1",NA,0.3,5,Nil)
> > >
> > > so I want to obtain: 0.3 and 5 from the above list
> > >
> > > Thanks
> > >
> > >
> > > --
> > > Le gach dea ghui,
> > > *Shane Carey*
> > > *GIS and Data Solutions Consultant*
> > >
> > >       [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
> > > [hidden email] 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.
> >
> >
> >
> >
> > --
> > Le gach dea ghui,
> > Shane Carey
> > GIS and Data Solutions Consultant
> >
> >
> >
> > --
> > Le gach dea ghui,
> > Shane Carey
> > GIS and Data Solutions Consultant
>
>
>
>
> --
> Le gach dea ghui,
> Shane Carey
> GIS and Data Solutions Consultant

______________________________________________
[hidden email] 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.
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Re: Subset

Shane Carey
Super, thanks Boris. Top notch :-)

On Mon, Sep 25, 2017 at 1:05 PM, Boris Steipe <[hidden email]>
wrote:

> Always via logical expressions. In this case you can use the logical
> expression
>
> myDF$b  != "0"
>
> to give you a vector of TRUE/FALSE
>
>
>
> B.
>
>
> > On Sep 25, 2017, at 8:00 AM, Shane Carey <[hidden email]> wrote:
> >
> > This is super, really helpfull. Sorry, one final question, lets say I
> wanted to remove 0's rather than NAs , what would it be?
> >
> > Thanks
> >
> > On Mon, Sep 25, 2017 at 12:41 PM, Boris Steipe <[hidden email]>
> wrote:
> > myDF <- data.frame(a = c("<0.1", NA, 0.3, 5, "Nil"),
> >                    b = c("<0.1", 1, 0.3, 5, "Nil"),
> >                    stringsAsFactors = FALSE)
> >
> > # you can subset the b-column in several ways
> >
> > myDF[ , 2]
> > myDF[ , "b"]
> > myDF$b
> >
> > # using the column, you make a logical vector
> > ! is.na(as.numeric(myDF$b))
> >
> >
> > # This can be used to select the rows you want
> >
> > myDF[! is.na(as.numeric(myDF$b)), ]
> >
> >
> >
> > B.
> >
> >
> > > On Sep 25, 2017, at 7:30 AM, Shane Carey <[hidden email]> wrote:
> > >
> > > Hi,
> > >
> > > Lets say this was a dataframe where I had two columns
> > >
> > > a <- c("<0.1", NA, 0.3, 5, "Nil")
> > > b <- c("<0.1", 1, 0.3, 5, "Nil")
> > >
> > > And I just want to remove the rows from the dataframe where there were
> NAs in the b column, what is the syntax for doing that?
> > >
> > > Thanks in advance
> > >
> > > On Fri, Sep 22, 2017 at 5:04 PM, Shane Carey <[hidden email]>
> wrote:
> > > Super,
> > >
> > > Thanks
> > >
> > > On Fri, Sep 22, 2017 at 4:57 PM, Boris Steipe <
> [hidden email]> wrote:
> > > > a <- c("<0.1", NA, 0.3, 5, "Nil")
> > > > a
> > > [1] "<0.1" NA     "0.3"  "5"    "Nil"
> > >
> > > > b <- as.numeric(a)
> > > Warning message:
> > > NAs introduced by coercion
> > > > b
> > > [1]  NA  NA 0.3 5.0  NA
> > >
> > > > b[! is.na(b)]
> > > [1] 0.3 5.0
> > >
> > >
> > > B.
> > >
> > >
> > > > On Sep 22, 2017, at 11:48 AM, Shane Carey <[hidden email]>
> wrote:
> > > >
> > > > Hi,
> > > >
> > > > How do I extract just numbers from the following list:
> > > >
> > > > a=c("<0.1",NA,0.3,5,Nil)
> > > >
> > > > so I want to obtain: 0.3 and 5 from the above list
> > > >
> > > > Thanks
> > > >
> > > >
> > > > --
> > > > Le gach dea ghui,
> > > > *Shane Carey*
> > > > *GIS and Data Solutions Consultant*
> > > >
> > > >       [[alternative HTML version deleted]]
> > > >
> > > > ______________________________________________
> > > > [hidden email] 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.
> > >
> > >
> > >
> > >
> > > --
> > > Le gach dea ghui,
> > > Shane Carey
> > > GIS and Data Solutions Consultant
> > >
> > >
> > >
> > > --
> > > Le gach dea ghui,
> > > Shane Carey
> > > GIS and Data Solutions Consultant
> >
> >
> >
> >
> > --
> > Le gach dea ghui,
> > Shane Carey
> > GIS and Data Solutions Consultant
>
>


--
Le gach dea ghui,
*Shane Carey*
*GIS and Data Solutions Consultant*

        [[alternative HTML version deleted]]

______________________________________________
[hidden email] 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.
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Re: Subset

Bert Gunter-2
In reply to this post by Shane Carey
 You realize, do you not, that in fact there are no numbers in your "list"
(actually a vector).

It looks like you would do well to spend some time with an R tutorial or
two before posting further to this list. We can help, but cannot substitute
for the basic knowledge that you would gain from doing this.

Cheers,

Bert

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Mon, Sep 25, 2017 at 4:30 AM, Shane Carey <[hidden email]> wrote:

> Hi,
>
> Lets say this was a dataframe where I had two columns
>
> a <- c("<0.1", NA, 0.3, 5, "Nil")
> b <- c("<0.1", 1, 0.3, 5, "Nil")
>
> And I just want to remove the rows from the dataframe where there were NAs
> in the b column, what is the syntax for doing that?
>
> Thanks in advance
>
> On Fri, Sep 22, 2017 at 5:04 PM, Shane Carey <[hidden email]> wrote:
>
> > Super,
> >
> > Thanks
> >
> > On Fri, Sep 22, 2017 at 4:57 PM, Boris Steipe <[hidden email]>
> > wrote:
> >
> >> > a <- c("<0.1", NA, 0.3, 5, "Nil")
> >> > a
> >> [1] "<0.1" NA     "0.3"  "5"    "Nil"
> >>
> >> > b <- as.numeric(a)
> >> Warning message:
> >> NAs introduced by coercion
> >> > b
> >> [1]  NA  NA 0.3 5.0  NA
> >>
> >> > b[! is.na(b)]
> >> [1] 0.3 5.0
> >>
> >>
> >> B.
> >>
> >>
> >> > On Sep 22, 2017, at 11:48 AM, Shane Carey <[hidden email]>
> wrote:
> >> >
> >> > Hi,
> >> >
> >> > How do I extract just numbers from the following list:
> >> >
> >> > a=c("<0.1",NA,0.3,5,Nil)
> >> >
> >> > so I want to obtain: 0.3 and 5 from the above list
> >> >
> >> > Thanks
> >> >
> >> >
> >> > --
> >> > Le gach dea ghui,
> >> > *Shane Carey*
> >> > *GIS and Data Solutions Consultant*
> >> >
> >> >       [[alternative HTML version deleted]]
> >> >
> >> > ______________________________________________
> >> > [hidden email] 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.
> >>
> >>
> >
> >
> > --
> > Le gach dea ghui,
> > *Shane Carey*
> > *GIS and Data Solutions Consultant*
> >
>
>
>
> --
> Le gach dea ghui,
> *Shane Carey*
> *GIS and Data Solutions Consultant*
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> [hidden email] 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]]

______________________________________________
[hidden email] 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.