Displaying 20 results from an estimated 2000 matches similar to: "overlay two pixmap"
2004 Aug 25
1
Pixmap problem
Hi,
I'm having trouble writing .pnm images which I think is due to a problem
with my colour space. The pixmap object seems to be looking for 72 of 8
colours (one per cell?) which doesn't seem healthy...
> library(pixmap)
> x <- pixmapIndexed(rep(1:8, 9), nrow=6, col=rainbow(8))
> x
Pixmap image
Type : pixmapIndexed
Size : 6x12
Resolution : 1x1
2003 Sep 30
2
using identify() together with plot () and pixmap()
Dear R users
I have a two-dimensional array, whose values I want to plot, using the
pixmapGrey class. Plotting works fine, and now I would like to be able
to identify some of the points in the plot using identify(). But I get
the following message while pressing the left mouse button:
> plot(pixmapGrey(fmri.vtc[,,slice,volume]))
> identify(fmri.vtc[,,slice,volume])
warning: no point with
2003 Apr 22
3
Problem with pixmap on R 1.7.0?
Hi R users:
I got the following message when I use the pixmap library
on R 1.7.0 over w2K platform (on R 1.6.2 it runs right).
pixmapGrey(matrix(c(0,1),128,128))
Error in .class1(object) : Object "from" not found
I download the library .zip file from:
http://cran.r-project.org/bin/windows/contrib/1.7/pixmap_0.3-2.zip
Other question:
When I try to "Install package(s) from
2003 Feb 26
1
calculationg condition numbers
am I right in the assumption, that for calculation of the condition
numbers I have to use the correlation matrix of X, and not t(x) %*% x?
> e <- eigen(t(x) %*% x)
better (x must not have a first column of ones):
> e <- eigen(cor(x))
> e$val
[1] 6.6653e+07 2.0907e+05 1.0536e+05 1.8040e+04 2.4557e+01 2.0151e+00
> sqrt(e$val[1]/e$val)
[1] 1.000 17.855 25.153 60.785 1647.478
2005 Aug 04
3
how to read individual values from a pixmap object
Hi All,
I have a greyscale image that I am reading in through RGDAL and placing in a
pixmap object.
As an example use the logo.jpg file that comes with the RGDAL package:
#Read the file
logo <- system.file("pictures/logo.jpg", package="rgdal")[1]
x <- new("GDALReadOnlyDataset", logo)
#Create the pixmap object
xGrey <- getPixmapGDAL(x)
Now I would
2003 Feb 22
4
faraway tutorial: cryptic command to newbie
I am just about working through Faraways excellent tutorial "practical
regression and ANOVA using R"
on page 24 he makes the x matrix:
x <- cbind(1,gala[,-c(1,2)])
how can I understand this gala[,-c(1,2)])... I couldn't find an
explanation of such "c-like" abbreviations anywhere.
thanks for a hint.
another problem: I couldn't load the faraway library, using the
2005 Apr 21
2
apply vs sapply vs loop - lm() call appl(y)ied on array
Christoph --
There was just a thread on this earlier this week. You can search in the
archives for the title: "refitting lm() with same x, different y".
(Actually, it doesn't turn up in the R site search yet, at least for me.
But if you just go to the archive of recent messages, available through
CRAN, you can search on refitting and find it. The original post was from
William
2004 Jul 12
1
pixmapIndexed color question
Hi
I use pixmapIndexed
tmp.vimp <- array(0,c(x.dim,y.dim))
tmp.vimp <- pixmapIndexed(tmp.vimp, col=rainbow)
to plot values of a 2D matrix. I 'fill' the pixmapIndexed like:
for (x in 1:x.dim) {
for (y in 1:y.dim) {
tmp.vimp at index[x,y] <- my.matrix[x,y]
}}
how can I define, that the colors are painted e.g. according the rainbow
2003 Sep 02
2
identify with image
Hola!
I will want to identify pixels in an image with the mouse, for
so getting the image data from the matrix(es), for use in subsequent
discriminant analysis. But the following bombs R:
(windows XP, rw1071)
> str(baboon)
list()
- attr(*, "size")= int [1:2] 512 512
- attr(*, "cellres")= num [1:2] 1 1
- attr(*, "bbox")= num [1:4] 0 0 512 512
- attr(*,
2004 Mar 30
1
classification with nnet: handling unequal class sizes
I hope this question is adequate for this list
I use the nnet code from V&R p. 348: The very nice and general function
CVnn2() to choose the number of hidden units and the amount of weight
decay by an inner cross-validation- with a slight modification to use it
for classification (see below).
My data has 2 classes with unequal size: 45 observations for classI and
116 obs. for classII
With
2003 Feb 26
1
plot as .ps file: where are the axes and labels gone
Sorry, I am sure, this must be documented somewhere (but there are that
many docs and tutorials to scan for topics..., actually a great thing...
but if you are in a hurry..):
I want to save a plot as .ps (or .eps):
> postscript("plot1.eps", horizontal=FALSE,
onefile=FALSE,height=8,width=8,pointsize=10)
> plot(hpfit$fit,rstudent(hpfit),xlab="Fitted
2006 Mar 09
1
count pixels of same color in pixmap object?
Dear all,
I try to figure out how to use R to count the number of pixels of the
same color in some gray-level picture. I managed to read it in either
tiff or jpeg format, but the returned pixmap object keeps its
information out of (my) reach. Is there an easy way to tabulate the
different color/graylevel pixels and their numbers? Or should I use a
completely different (free) software?
2003 Jun 01
6
compositional data: percent values sum up to 1
again, under another subject:
sorry, maybe an all too trivial question. But we have power data from J
frequency spectra and to have the same range for the data of all our
subjects, we just transformed them into % values, pseudo-code:
power[i,j]=power[i,j]/sum(power[i,1:J])
of course, now we have a perfect linear relationship in our x design-matrix,
since all power-values for each subject sum up
2003 Jun 09
1
understanding eigen(): getting non-normalized eigenvectors
Hi, dear R pros
I try to understand eigen(). I have seen, that eigen() gives the
eigenvectors normalized to unit length.
What shall I do to get the eigenvectors not normalized to unit length?
E.g. take the example:
A
[,1] [,2]
V1 0.7714286 -0.2571429
V2 -0.4224490 0.1408163
Calculating eigen(A) "by hand" gives the eigenvectors (example from
Backhaus,
2009 May 18
1
S4 method dispatch and namespaces: why is default method selected
Hi,
I ran into the following peculiarity involving S4 method dispatch and
namespaces.
I develop a package which have a namespace and which depends on 'pixmap'
package, which itself does not have a namespace.
Now, in my package I have a class which has a slot for objects from
class "pixmap" and I
want to have a "plot" method for this new class. Not to clutter the
2008 May 23
1
seeing an S4 method, not using it
Dear list,
here is a problem I met when trying to use a method for an S4 object,
without loading the package in which the method was defined. I do not
know if this is a bug, or a mistake of mine. Normally, I think the
package in which the appropriate method is defined is loaded
automatically when calling the method. The problem is that if the
package is indeed loaded automatically, the
2011 Apr 22
3
Reading a TIFF file
Dear all, I have been trying to speed up a process we have been done in ArcGIS. We have to read a single layer TIFF (monochrome image) in . For this, I have used the "rtiff" package. After reading the TIFF file, I compared the raw values for each pixel that I have in ArcGIS to the ones obtained in R. In ArcGIS I have discrete values in the range 0..255, while in R I have continuous
2012 Oct 26
1
asking about R Code
Hi, my name is Ellen. I want to ask you about R Code.
I got a code for extracting a pixel value, but I can't compile it..
It is said "Error in is.data.frame(x) : object 'lena' not found"
Here is the original full code:
library(pixmap)
lena <- read.pnm("oldlennablur.pgm")
write.table(lena@grey,"mylenna", quote=FALSE, row.names = FALSE, col.names=
2004 Sep 23
0
nnet and weights: error analysis using V&R example
Dear R-users, dear Prof. Ripley as package maintainer
I tried to investigate the odd error, when I call nnet together with a
'weights' parameter, using the 'fgl' example in V&R p 348
The error I get is:
Error in eval(expr, envir, enclos) : Object "w" not found
I think it is a kind of scoping problem, but I really cannot see, what
the problem exactly is.
and
2004 Sep 23
0
nnet with weights parameter: odd error
Dear R-users
I use nnet for a classification (2 classes) problem. I use the code
CVnn1, CVnn2 as described in V&R.
The thing I changed to the code is: I define the (class) weight for each
observation in each cv 'bag' and give the vector of weights as parameter
of nnet(..weights = weight.vector...)
Unfortunately I get an error during some (but not all!) inner-fold cv runs: