I want to draw and edit networks. Currently I will do something like this --
my actual networks are larger and more complex:
1. Plot network
# use polygon with nodes as example network
N - 20
t. - 2*pi*seq(N+1)/N
plot(cos(t.), sin(t.), type=b, pch=19, cex=5, col=blue, axes=F, ann=F)
2. copy
Gabor Grothendieck wrote:
I want to draw and edit networks. Currently I will do something like this --
my actual networks are larger and more complex:
1. Plot network
# use polygon with nodes as example network
N - 20
t. - 2*pi*seq(N+1)/N
plot(cos(t.), sin(t.), type=b, pch=19, cex=5, col=blue,
Or graph, RBGL and Rgraphviz from www.bioconductor.org
On Sun, May 09, 2004 at 02:35:02PM +0200, Uwe Ligges wrote:
Gabor Grothendieck wrote:
I want to draw and edit networks. Currently I will do something like this --
my actual networks are larger and more complex:
1. Plot network
Hi,
I'm now to R and hope (actually, I'm quite sure) you can help me. I made
an experiment and measured two values. As I know the errors of these
values I want to use them with the linear regression,
eg
Value A
1.1+-0.02
1.9+-0.05
3.05+-0.03
4.0+-0.01
5.1+-0.06
Value B
4.2+-0.14
Sonja Dornieden wrote:
Hai -
kann mir jemand sagen, wie ich den Modalwert in R berechne?! IRgendwie finde
ich den Befehl nicht
greetz und herzlichen Dank
Sonja
Hi,
there was already a thread in this list about this question with subject
Computing the mode on 24.02.2004. You will find several
See plotCI in package gregmisc.
Sebastian Schubert Sebastian-Schubert at gmx.de writes:
:
: Hi,
:
: I'm now to R and hope (actually, I'm quite sure) you can help me. I made
: an experiment and measured two values. As I know the errors of these
: values I want to use them with the linear
What do you actually know?
You don't have `known errors', as if you did you could correct the values.
I doubt if you actually have a known range, more likely a standard error
or a confidence interval. (If you think you do have a known range, how do
you know?)
And if A is not known exactly,
On Sat, 8 May 2004, Gabor Grothendieck wrote:
predict(lm(AV~as.factor(GROUP)))
If Felix actually has a huge data frame this will be slow. Instead
try
groupmeans-rowsum(AV,GROUP,reorder=FALSE)
individual.means- groupmeans[match(GROUP, unique(GROUP)]
It uses hashing and takes roughly
Off-topic, I know, but when I try to follow secure links like this in
Mozilla, I always get a message The connection was refused when trying
to contact www.stat.math.ethz.ch and I am forced to use Internet
Explorer instead. This is under Windows XP.
Is this because www.stat.math.ethz.ch is
Dear R-help,
I've encounter what seems to me a strange problem with names-. Suppose I
define the function:
fun - function(x, f) {
m - tapply(x, f, mean)
ans - x - m[match(f, unique(f))]
names(ans) - names(x)
ans
}
which subtract out the means of `x' grouped by `f' (which is the
I have a data set with 6 variables and 251 cases.
The people who supplied me with this data set believe that it falls
naturally into three groups, and have given me a rule for determining
group number from these 6 variables.
If I do
scaled.stuff - scale(stuff, TRUE, c(...the design
Execute these two commands:
ans - fun(x,f)
attributes(ans)
and you get this:
$dim
[1] 20
$dimnames
$dimnames[[1]]
[1] a a b c a d a b d d a b d c c c b c b
[20] d
so ans does not have names, it has dimnames. If you try dimnames(ans) - NULL
then its dimnames do get nulled
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