similar to: Image Processing packages

#Hi, # #somebody knows how to remove the outer box around a wireframe and reduce the height # # test = data.frame(expand.grid(c(1:10), c(1:10))) z = test[,1] + test[,2] test = cbind(test, z) names(test) = c("x", "y", "z") require(lattice) wireframe(z ~ x*y, data = test, par.box = c(col = "transparent") ) #not this one but the remaining outer box.

Dear members, Is there a way to turn a strwidth of a string into a number of lines that ist needed to display the string when using par(mar = c(?,4,4,2)) #### x = 1:5 names(x) = c("ZZZZZ","ZZZZZzzzzz","ZZZlllll","TTTTT","Zzhtsddfg" ) par(mfrow = c(1,2)) par(mar = c(8,4,4,2)) barplot(x, las = 3, main = "8 is to much") par(mar =

I have some images of bugs (insects) with many bugs in each image. I want to count the number of bugs and to have an estimate of the area of each one. I've tried searching for an R package to do so with no success. Is this a task that I should pursue doing in R or should I restrict myself to specific image analysis software (e.g. ImageJ)?. The reason I consider R would be a good choice is

Looking for the DCT function, but don't see it in the signal pkg. http://rss.acs.unt.edu/Rdoc/library/signal/html/signal.package.html http://rss.acs.unt.edu/Rdoc/library/signal/html/00Index.html As I understand it, the 'signal' functions are ports of the corresponding matlab/octave code, where the DCT exists. Did I miss it (different name?) or is someone working on a port for

Hello everyone,  I'm working in a project to create an special analysis about visualization in some animals and its behaviour, through checking eye movement. The point is this is very important to get data from the image as a resume of what this animal sees. I think an RGB histogram like photoshop does, but I need to get the data from this histogram analysis and I was wondering about using R

Hello, I am currently trying to show the abundance of two species of zooplankton within the North Sea as pie chart bubble plots. I followed Werner Wernersen's advice in R help (http://finzi.psych.upenn.edu/R/Rhelp02a/archive/48644.html) and used Paul Murrell's paper "Integrating Grid Graphics Output with Base Graphics Output" (in R News) to try and do this (using the gridBase

My question is based on an example provided in the following: Referencing: Statistics with R Vincent Zoonekynd <zoonek at math.jussieu.fr> 6th January 2007 URL: http://zoonek2.free.fr/UNIX/48_R/all.html data(HairEyeColor) a <- as.table( apply(HairEyeColor, c(1,2), sum) ) # Provided Example barplot(a, beside = TRUE, legend.text = attr(a, "dimnames")$Hair) # I

Hi, For those who are interested, I have update my R benchmark (to version 1.5.0) and also to Splus 6. They are available at: http://www.sciviews.org/other/benchmark.htm. A comparison is made between Matlab (5.3 & 6), R 1.5.0, Splus 6 rel 2, O-Matrix 5.1, Octave 2.1.31, Scilab 2.6, Rlab 2.1 and OX 3.00 under Windows 2000 pro. Overall, R is not the fastest package, but it is one of the

Dear listmembers, I would like to define a class with a slot that takes either an object of class aov or NULL. I have been reading "S4 Classes in 15 pages more or less" and "Lecture: S4 classes and methods" #First I tried with list and NULL setClass(listOrNULL") setIs("list", "listOrNULL") setIs("NULL", "listOrNULL") #doesn't

This has to do with your own timezone. If I run that code on my computer, both formats are correct. If I do this after Sys.setenv(TZ = "UTC") Then: > cbind(format(dlt), format(dct)) [,1] [,2] [1,] "2016-12-06 21:45:41" "2016-12-06 20:45:41" [2,] "2016-12-06 21:45:42" "2016-12-06 20:45:42" The reason for that, is that

Hello, Thanks to Douglas Bates, there is now a new benchmark suite (version 2.3) which is compatible with R 1.9.0 and the recent Matrix library (0.8-1 or above). You find it at http://www.sciviews.org/other/benchmark.htm. It compares R 1.9.0 under Windows with: S-PLUS 6.5, Matlab 6.0, O-Matrix 5.6, Octave 2.1.42, Scilab 2.7 and Ox 3.30. In short, R in its version 1.9.0 and with the new Matrix

Dear R Community, I am trying to optimize a water quality model that I am using. Based on conversations with others more familiar with what I am doing I plan to implement DEOptim to do this. The water quality model is interfaced through a GUI. I have the input file necessary to alter parameters and run the model as a text file. To do the optimization I have figured out the general procedure

After installing R-3.4.0 I ran 'make check' which halted here: $ > tail reg-tests-1d.Rout.fail -n 16 > ## format()ing invalid hand-constructed POSIXlt objects > d <- as.POSIXlt("2016-12-06"); d$zone <- 1 > tools::assertError(format(d)) > d$zone <- NULL > stopifnot(identical(format(d),"2016-12-06")) > d$zone <- "CET" # =

After installing R-3.4.0 I ran 'make check' which halted here: $ > tail reg-tests-1d.Rout.fail -n 16 > ## format()ing invalid hand-constructed POSIXlt objects > d <- as.POSIXlt("2016-12-06"); d$zone <- 1 > tools::assertError(format(d)) > d$zone <- NULL > stopifnot(identical(format(d),"2016-12-06")) > d$zone <- "CET" # =

On Wed, 17-May-2017 at 01:21PM +0200, Peter Dalgaard wrote: |> |> Anyways, you might want to |> |> a) move the discussion to R-devel |> b) include your platform (hardware, OS) and time zone info System: Host: MTA-V1-427894 Kernel: 3.19.0-32-generic x86_64 (64 bit gcc: 4.8.2) Desktop: KDE Plasma 4.14.2 (Qt 4.8.6) Distro: Linux Mint 17.3 Rosa Machine: System:

Hello, I want to import R-output via Rserve to Java, especially for the function ctree from the package party. Rserve is working properly. Yet, I only get the predictions with the Java code try{ RConnection c = new RConnection(); ... c.voidEval("modell <- ctree(...)"); REXP y = c.eval("nodes(modell,1)[[1]]$prediction"); ...

> On 18 May 2017, at 13:47 , Joris Meys <jorismeys at gmail.com> wrote: > > Correction: Also dlt uses the default timezone, but POSIXlt is not recalculated whereas POSIXct is. Reason for that is the different way values are stored (hours, minutes, seconds as opposed to minutes from origin, as explained in my previous mail) > I would suspect that there is something more subtle

(Disclaimer: this is not an LPC vs. LSP question) After looking at the Vorbis code I was wondering why you were using LSP to quantize the spectral envelope instead of simply quantizing the cepstrum (DCT(log(envelope))) or modified cepstrum (DCT(envelope.^alpha)). To me it seems like when the information is already in the frequency domain, there's no need to go back to LPC. Also, I think a DCT

Hi, I'm sorry for this not being related to R but I think this is a good place to ask. I'm looking for DOE examples(experiments) that can be done at home or in class, such as Paper Helicopter, Paper Towel etc.. I'm thankful for any comment. Thomas [[alternative HTML version deleted]]

Why for white-pixel image, oc_enc_fdct8x8_c() returns the matrix with non-zero AC-coefficients? _x[64]: * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 _y[64]: * 3426