[R] plot each column of a matrix or dataframe versus x in a singleplot

[Dimitris Rizopoulos]

you could use the function matplot(), e.g.,

x <- 1:20
vals <- 2 + rep(1:5, each = 20) * rep(x, 5) + rnorm(100)
dim(vals) <- c(20, 5)

matplot(x, vals, type = "l", lty = 1)


I hope it helps.

Best,
Dimitris

----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
     http://www.student.kuleuven.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "tomaschwutz" <thomas.wutzler at web.de>
To: <r-help at r-project.org>
Sent: Thursday, February 14, 2008 3:55 PM
Subject: [R] plot each column of a matrix or dataframe versus x in a 
singleplot


> How do a plot several columns of a matrix at once in a single plot
> versus a single x-variable?
>
> The default plot.matrix  or plot.dataframe commands plot each column
> versus each other column in several sub-plots. I want to plot each
> column versus a single other vector (x) as several lines or points 
> in
> one plot.
>
> I can do it by hand: get the range of all variables (i.e. columns of
> the matrix or dataframe), initiate an empty plot command, loop 
> through
> all the columns and issue a lines or points command.
> I guess there is a predefined sophisticated function for that,
> however, I was not able to find it.
>
> Does someone know where I find such a function?
>
> Best regards
> tomaschwutz
>
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