[R] Entering Data Files

John Kane jrkrideau at inbox.com
Thu Jul 19 15:47:49 CEST 2012


?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: dwarnold45 at suddenlink.net
> Sent: Wed, 18 Jul 2012 13:35:00 -0700 (PDT)
> To: r-help at r-project.org
> 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.
> 
> ______________________________________________
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> 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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