[R] help with plotmeans (gplots)

[David Carlson]

Your data is probably not arranged correctly. See if this works for
your data:

> # Creating a reproducible example
> set.seed(42)
> dat <- matrix(rnorm(100*15, 5, 5)+rep(1:15, each=100), 15, 100,
byrow=TRUE)
> str(dat)
 num [1:15, 1:100] 12.85 13 -2 8.98 16.67 ...
> require(gplots)
> # Rearranging dat as a data.frame with a time variable (1 to 15)
and the experimental value (val)
> # See the result of str(dat2) below for the structure
> dat2 <- data.frame(time=rep(1:15, each=100),
val=as.vector(t(dat)))
> str(dat2)
'data.frame':   1500 obs. of  2 variables:
 $ time: int  1 1 1 1 1 1 1 1 1 1 ...
 $ val : num  12.85 3.18 7.82 9.16 8.02 ...
> plotmeans(val~time, dat2, n.label=FALSE)

-------------------------------------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77840-4352

-----Original Message-----
From: r-help-bounces at r-project.org
[mailto:r-help-bounces at r-project.org] On Behalf Of Simone
Gabbriellini
Sent: Wednesday, June 26, 2013 10:20 AM
To: r-help at r-project.org
Subject: [R] help with plotmeans (gplots)

Dear List,

I have replicated an experiment 100 times. Each experiment lasts for
15
iteration. Thus I have collected results into a data.frame with 100
columns
(one column for each experiment) and 15 rows (one row for each
iteration).

I would like to plot mean values at each iteration using plotmeans,
but I
am unable to understand the syntax I should use. I tried:

times<-as.factor(seq(1,15))

plotmeans(data~times)


with no luck... what should I tell to plotmeans in order to evaluate
my
dataset?


Best regards,

Simone

-- 
Simone Gabbriellini, PhD

PostDoc at DISI, University of Bologna
mobile: +39 340 39 75 626
email: simone.gabbriellini at unibo.it
academia.edu: http://goo.gl/7pq62

DigitalBrains srl
Amministratore
mobile: +39 340 39 75 626
email: simone.gabbriellini at digitalbrains.it
home: www.digitalbrains.it

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