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Entering Data Files

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David Arnold

Entering Data Files

Hi,

Entering data from a given file is the hardest part of learning R for me. For example, I have this datafile from Moore's text:

Live Age Count
Parents Age19 324
Another Age19 37
OwnPlace Age19 116
Group Age19 58
Other Age19 5
Parents Age20 378
Another Age20 47
OwnPlace Age20 279
Group Age20 60
Other Age20 2
Parents Age21 337
Another Age21 40
OwnPlace Age21 372
Group Age21 49
Other Age21 3
Parents Age22 318
Another Age22 38
OwnPlace Age22 487
Group Age22 25
Other Age22 9

I can manually enter the numbers and create my table and barplot.

x <- matrix(c(324, 378, 337, 318, 37, 47, 40, 38, 116, 279, 372, 487, 58, 60, 49, 25, 5, 2, 3, 9), c(5,4),byrow=T)
rownames(x)=c("Parents","Another","OwnPlace","Group","Other")
colnames(x)=c("Age19","Age20","Age21","Age22")
x <- as.table(x)

barplot(x,beside=T)

But it would be nice to be able to read the data from the file, arrange it using R, then plot, if that is possible. Any suggestions?

Thanks

David

Yasir Kaheil

Re: Entering Data Files

type ?read.table in R

Yasir Kaheil

Rui Barradas

Re: Entering Data Files

In reply to this post by David Arnold

Hello,

Install package 'reshape2' and try the following.

#install.packages('reshape2')
library(reshape2)

d <- read.table(text="
Live Age Count
Parents Age19 324
Another Age19 37
OwnPlace Age19 116
Group Age19 58
Other Age19 5
Parents Age20 378
Another Age20 47
OwnPlace Age20 279
Group Age20 60
Other Age20 2
Parents Age21 337
Another Age21 40
OwnPlace Age21 372
Group Age21 49
Other Age21 3
Parents Age22 318
Another Age22 38
OwnPlace Age22 487
Group Age22 25
Other Age22 9
", header=TRUE, stringsAsFactors=FALSE)
d

dmelt <- melt(d, id.vars=c("Live", "Age"), measure.vars="Count")
dcast(Live ~ Age, data = dmelt)

Hope this helps,

Rui Barradas

Em 18-07-2012 21:35, darnold escreveu:

> Hi,
>
> Entering data from a given file is the hardest part of learning R for me.
> For example, I have this datafile from Moore's text:
>
> Live Age Count
> Parents Age19 324
> Another Age19 37
> OwnPlace Age19 116
> Group Age19 58
> Other Age19 5
> Parents Age20 378
> Another Age20 47
> OwnPlace Age20 279
> Group Age20 60
> Other Age20 2
> Parents Age21 337
> Another Age21 40
> OwnPlace Age21 372
> Group Age21 49
> Other Age21 3
> Parents Age22 318
> Another Age22 38
> OwnPlace Age22 487
> Group Age22 25
> Other Age22 9
>
> I can manually enter the numbers and create my table and barplot.
>
> x <- matrix(c(324, 378, 337, 318, 37, 47, 40, 38, 116, 279, 372, 487, 58,
> 60, 49, 25, 5, 2, 3, 9), c(5,4),byrow=T)
> rownames(x)=c("Parents","Another","OwnPlace","Group","Other")
> colnames(x)=c("Age19","Age20","Age21","Age22")
> x <- as.table(x)
>
> barplot(x,beside=T)
>
> But it would be nice to be able to read the data from the file, arrange it
> using R, then plot, if that is possible. Any suggestions?
>
> Thanks
>
> David
>
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/Entering-Data-Files-tp4636943.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> [hidden email] mailing list
> 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
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.

Rui Barradas

Re: Entering Data Files

Hello,

Sorry, I forgot the barplot.

dmelt <- melt(d, id.vars=c("Live", "Age"), measure.vars="Count")
wide <- dcast(Live ~ Age, data = dmelt)

col <- rainbow(4)
barplot(as.matrix(wide[, 2:5]), beside=T, col=col)
legend("topleft", wide[, 1], fill=col)

Hope this helps,

Rui Barradas

Em 18-07-2012 22:19, Rui Barradas escreveu:

> Hello,
>
> Install package 'reshape2' and try the following.
>
>
> #install.packages('reshape2')
> library(reshape2)
>
> d <- read.table(text="
> Live Age Count
> Parents Age19 324
> Another Age19 37
> OwnPlace Age19 116
> Group Age19 58
> Other Age19 5
> Parents Age20 378
> Another Age20 47
> OwnPlace Age20 279
> Group Age20 60
> Other Age20 2
> Parents Age21 337
> Another Age21 40
> OwnPlace Age21 372
> Group Age21 49
> Other Age21 3
> Parents Age22 318
> Another Age22 38
> OwnPlace Age22 487
> Group Age22 25
> Other Age22 9
> ", header=TRUE, stringsAsFactors=FALSE)
> d
>
> dmelt <- melt(d, id.vars=c("Live", "Age"), measure.vars="Count")
> dcast(Live ~ Age, data = dmelt)
>
>
> Hope this helps,
>
> Rui Barradas
>
> Em 18-07-2012 21:35, darnold escreveu:
>> Hi,
>>
>> Entering data from a given file is the hardest part of learning R for me.
>> For example, I have this datafile from Moore's text:
>>
>> Live Age Count
>> Parents Age19 324
>> Another Age19 37
>> OwnPlace Age19 116
>> Group Age19 58
>> Other Age19 5
>> Parents Age20 378
>> Another Age20 47
>> OwnPlace Age20 279
>> Group Age20 60
>> Other Age20 2
>> Parents Age21 337
>> Another Age21 40
>> OwnPlace Age21 372
>> Group Age21 49
>> Other Age21 3
>> Parents Age22 318
>> Another Age22 38
>> OwnPlace Age22 487
>> Group Age22 25
>> Other Age22 9
>>
>> I can manually enter the numbers and create my table and barplot.
>>
>> x <- matrix(c(324, 378, 337, 318, 37, 47, 40, 38, 116, 279, 372, 487, 58,
>> 60, 49, 25, 5, 2, 3, 9), c(5,4),byrow=T)
>> rownames(x)=c("Parents","Another","OwnPlace","Group","Other")
>> colnames(x)=c("Age19","Age20","Age21","Age22")
>> x <- as.table(x)
>>
>> barplot(x,beside=T)
>>
>> But it would be nice to be able to read the data from the file,
>> arrange it
>> using R, then plot, if that is possible. Any suggestions?
>>
>> Thanks
>>
>> David
>>
>>
>>
>> --
>> View this message in context:
>> http://r.789695.n4.nabble.com/Entering-Data-Files-tp4636943.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> [hidden email] mailing list
>> 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
> 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.

glsnow

Re: Entering Data Files

In reply to this post by David Arnold

For reading data into R you should start with
http://cran.r-project.org/doc/manuals/R-data.html (or the local copy
that was installed with R on your machine).

For the example above the read.table function should be fine. If you
want to change the shape of the resulting data frame then look at the
xtabs function, the reshape function or the reshape2 package.

On Wed, Jul 18, 2012 at 2:35 PM, darnold <[hidden email]> wrote:

--
Gregory (Greg) L. Snow Ph.D.
[hidden email]

______________________________________________
[hidden email] mailing list
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.

David Carlson

Re: Entering Data Files

In reply to this post by Rui Barradas

You can do this using only xtabs. Using Rui's data.frame, d:

x <- xtabs(Count~Live+Age, d)

barplot(x, beside=T, legend.text=TRUE, args.legend=list(x="topleft"))

----------------------------------------------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352

> -----Original Message-----
> From: [hidden email] [mailto:r-help-bounces@r-
> project.org] On Behalf Of Rui Barradas
> Sent: Wednesday, July 18, 2012 4:24 PM
> To: darnold
> Cc: [hidden email]
> Subject: Re: [R] Entering Data Files
>
> Hello,
>
> Sorry, I forgot the barplot.
>
>
> dmelt <- melt(d, id.vars=c("Live", "Age"), measure.vars="Count")
> wide <- dcast(Live ~ Age, data = dmelt)
>
> col <- rainbow(4)
> barplot(as.matrix(wide[, 2:5]), beside=T, col=col)
> legend("topleft", wide[, 1], fill=col)
>
>
> Hope this helps,
>
> Rui Barradas
>
> Em 18-07-2012 22:19, Rui Barradas escreveu:
> > Hello,
> >
> > Install package 'reshape2' and try the following.
> >
> >
> > #install.packages('reshape2')
> > library(reshape2)
> >
> > d <- read.table(text="
> > Live Age Count
> > Parents Age19 324
> > Another Age19 37
> > OwnPlace Age19 116
> > Group Age19 58
> > Other Age19 5
> > Parents Age20 378
> > Another Age20 47
> > OwnPlace Age20 279
> > Group Age20 60
> > Other Age20 2
> > Parents Age21 337
> > Another Age21 40
> > OwnPlace Age21 372
> > Group Age21 49
> > Other Age21 3
> > Parents Age22 318
> > Another Age22 38
> > OwnPlace Age22 487
> > Group Age22 25
> > Other Age22 9
> > ", header=TRUE, stringsAsFactors=FALSE)
> > d
> >
> > dmelt <- melt(d, id.vars=c("Live", "Age"), measure.vars="Count")
> > dcast(Live ~ Age, data = dmelt)
> >
> >
> > Hope this helps,
> >
> > Rui Barradas
> >
> > Em 18-07-2012 21:35, darnold escreveu:
> >> Hi,
> >>
> >> Entering data from a given file is the hardest part of learning R
> for me.
> >> For example, I have this datafile from Moore's text:
> >>
> >> Live Age Count
> >> Parents Age19 324
> >> Another Age19 37
> >> OwnPlace Age19 116
> >> Group Age19 58
> >> Other Age19 5
> >> Parents Age20 378
> >> Another Age20 47
> >> OwnPlace Age20 279
> >> Group Age20 60
> >> Other Age20 2
> >> Parents Age21 337
> >> Another Age21 40
> >> OwnPlace Age21 372
> >> Group Age21 49
> >> Other Age21 3
> >> Parents Age22 318
> >> Another Age22 38
> >> OwnPlace Age22 487
> >> Group Age22 25
> >> Other Age22 9
> >>
> >> I can manually enter the numbers and create my table and barplot.
> >>
> >> x <- matrix(c(324, 378, 337, 318, 37, 47, 40, 38, 116, 279, 372,
> 487, 58,
> >> 60, 49, 25, 5, 2, 3, 9), c(5,4),byrow=T)
> >> rownames(x)=c("Parents","Another","OwnPlace","Group","Other")
> >> colnames(x)=c("Age19","Age20","Age21","Age22")
> >> x <- as.table(x)
> >>
> >> barplot(x,beside=T)
> >>
> >> But it would be nice to be able to read the data from the file,
> >> arrange it
> >> using R, then plot, if that is possible. Any suggestions?
> >>
> >> Thanks
> >>
> >> David
> >>
> >>
> >>
> >> --
> >> View this message in context:
> >> http://r.789695.n4.nabble.com/Entering-Data-Files-tp4636943.html
> >> Sent from the R help mailing list archive at Nabble.com.
> >>
> >> ______________________________________________
> >> [hidden email] mailing list
> >> 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
> > 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
> 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.

John Kane

Re: Entering Data Files

In reply to this post by David Arnold

?read.table
Using my normal file path and th data as you supplied it.
x <- read.csv("/home/john/rdata/ages.csv", sep = " ", header = TRUE)

Change the file path to whatever yours is.

Example might be
x <- read.csv("C:/mydata/ages.csv", sep = " ", header = TRUE)
in Windows.

Note that you can do either Linux style / or use Windows \ but if so you must escape them so the path would be "C:\\mydata\\ages.csv".

Hope this helps.

John Kane
Kingston ON Canada

> -----Original Message-----
> From: [hidden email]
> Sent: Wed, 18 Jul 2012 13:35:00 -0700 (PDT)
> To: [hidden email]
> Subject: [R] Entering Data Files
>
> Hi,
>
> Entering data from a given file is the hardest part of learning R for me.
> For example, I have this datafile from Moore's text:
>
> Live Age Count
> Parents Age19 324
> Another Age19 37
> OwnPlace Age19 116
> Group Age19 58
> Other Age19 5
> Parents Age20 378
> Another Age20 47
> OwnPlace Age20 279
> Group Age20 60
> Other Age20 2
> Parents Age21 337
> Another Age21 40
> OwnPlace Age21 372
> Group Age21 49
> Other Age21 3
> Parents Age22 318
> Another Age22 38
> OwnPlace Age22 487
> Group Age22 25
> Other Age22 9
>
> I can manually enter the numbers and create my table and barplot.
>
> x <- matrix(c(324, 378, 337, 318, 37, 47, 40, 38, 116, 279, 372, 487, 58,
> 60, 49, 25, 5, 2, 3, 9), c(5,4),byrow=T)
> rownames(x)=c("Parents","Another","OwnPlace","Group","Other")
> colnames(x)=c("Age19","Age20","Age21","Age22")
> x <- as.table(x)
>
> barplot(x,beside=T)
>
> But it would be nice to be able to read the data from the file, arrange
> it
> using R, then plot, if that is possible. Any suggestions?
>
> Thanks
>
> David
>
>
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Entering-Data-Files-tp4636943.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> [hidden email] mailing list
> 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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______________________________________________
[hidden email] mailing list
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.