Dear list members,
I am picking up some experimental data that was collected last year and
analysed using a within subject repeated measure ANOVA using SPSS (glm).
There are 3 factors (F1, F2, F3), each with 2 levels (foc - per; on - off; l
- r) recorded within a balanced 2x2x2 design.
I want to
ain.
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On Behalf Of Evans, David G (DFG)
Sent: Wednesday, November 02, 2011 3:24 PM
To: r-help@r-project.org
Subject: [R] Lattice plots and missing x-axis labels on second page
Hello,
I'm trying to
nd page.
Everything looks fine for the first page, but the x-axis labels (e.g.
1993, 1994...) are all missing on the second page. The x-axis variable
name ("Year") is there at the bottom, however. Any help is
appreciated. Thanks.
David G. Evans
Biometrician
Division of Sport Fish
Alask
I realize that matrix indexing has been addressed in various flavors, but I'm
stumped and didn't find anything in the archives. It's not clear if it is an
igraph issue or a more general problem. Thanks in advance for your patience.
I am using igraph to read a gml file
(http://www-personal.umic
I can successfully read a GML file using read.graph (e.g. those at
http://www-personal.umich.edu/~mejn/netdata/ , the football data set in
particular). However, I don't seem to be able to read the vertex labels
that are in the GML file; or maybe I am, but I cannot get at them?
I suspect I'm not re
Hi,
>From the following pseudo-code (tweaked from another user):
library(lattice)
variable<-sample(rep(1:2,100))
individual<-rep(1:3, length(variable))
group<-rep(LETTERS[1:2],length(variable)/2)
mydata<-data.frame(variable,individual,group)
individual<-as.factor(individual)
group<-as.factor(group
Hi,
>From the following code (tweaked from another user):
variable<-sample(rep(1:2,100))
individual<-rep(1:3, length(variable))
group<-rep(LETTERS[1:2],length(variable)/2)
mydata<-data.frame(variable,individual,group)
individual<-as.factor(individual)
group<-as.factor(group)
histogram(~
ar in the
resulting list.
Thanks again for taking the time to try to figure this out.
Cheers,
Dave
On 2/8/11 7:47 PM, "Steve Lianoglou" wrote:
Hi,
On Tue, Feb 8, 2011 at 6:18 PM, Robinson, David G wrote:
> I am experimenting with parallel processing using foreach and se
I am experimenting with parallel processing using foreach and seem to be
missing something fundamental. Cool stuff. I've gone through the list and
seen a couple of closely related issues, but nothing I've tried seems to
work.
I know that the results from foreach are combined, but what if there is
Stoker, Ben wrote:
> A reproducible example would be very useful. In general
> I find that I can just index an mcmc object as though it
> were a matrix, e.g.:
>
> z <- cbind(a=runif(20),b=runif(20),c=runif(20))
> library(coda)
> m <- mcmc(data=z)
> t(apply(m,2,quantile,c(0.025,0.975)))
>
> If
I have an mcmc object and I'm trying to plot the quantiles of the variables -
and not as a function of the iterations as in cumuplot.
I cannot seem to find the right combination of indexing to access the
variables; after which I'm sure I can plot all the statistics I could hope for.
Any hints f
David,
Great! 'split' is something I didn't even look at. Owe you one.
Many thanks,
Dave
On 12/2/09 7:29 PM, "David Winsemius" wrote:
On Dec 2, 2009, at 7:02 PM, Robinson, David G wrote:
> My apologies for this question but I'm stuck and I'm sure tha
My apologies for this question but I¹m stuck and I¹m sure that there must be
an easy answer out there (and hope that someone will have mercy and point me
in the right direction).
I have a data file that looks like:
1 77 3
1 8 1
1 7 2
1 1 5
1 42 7
1 0 2
1 23 1
2 83 9
2 8 2
2 6 5
2 23 3
3 11 3
3 8 1
spec...@stat.berkeley.edu
On Tue, 25 Aug 2009, David G. Tully wrote:
I am sure there is a simple way to do the following, but i haven't
been able to find it. I am hoping a merciful soul on R-help could
point me in the right direction.
I am doing a factor analysis on survey data with
I am sure there is a simple way to do the following, but i haven't been
able to find it. I am hoping a merciful soul on R-help could point me in
the right direction.
I am doing a factor analysis on survey data with missing values. to do
this, I run:
FA1<-factanal(na.omit(DATA), factors = X,
now how to pull them together into a plot. Can you
make a recommendation for an R plot, or a beginner's tool in processing that
might help?
David G. Tully
Northwestern University
Department of Political Science
601 University Place
Evanston, IL 60208
[EMAIL PROTECTED]
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