similar to: Rescaling columns in a multi-plot layout

Hi, Let say I have this matrix: > mat<-matrix(cbind(rnorm(20),rnorm(20)), ncol = 2) And I want to rescale values of column [,1] and [,2] using values from row 1 to 5, such that the values of row 1:5 should be rescale to the same amplitude (kinda like take the z-score of population from row 1:5). column 1 and 2 are two different samples need to be compared. I hope I made myself clear

Dear R users, I am new to Latex and I am using the R package xtable to generate tables. I want to produce a table that is very long. in the landscape format, but I would need to rescale the table so that it fits in the page. xtable enables me to have the landscape format, but I cannot rescale it, and there seems to be a problem, if I use scalebox in Latex on my output produced with stable and the

############################################################################### Before reporting 4 problems with windows(rescale=) I want to congrat on R1.2 and to thank r-developers for quickly adding the rescale workaround to the windows version. Happy New Year Jens Oehlschlaegel ###############################################################################

If these things bother you, could you please supply fixes? For some reason you omitted the part of the help page dealing with one of these (which is as documented), and I also think you are confusing `plot' and `device' sizes. The latter will be the displayed device surface, I believe. Nothing on the help page suggested that the fine details of the R read-only parameters will be as you

Hello, I am an R newbie, trying to use lsoda to solve standard Lotka-Volterra competition equations. My question is: how do I pass a parameter that varies with time, like say, phix <- 0.7 + runif(tmax) in the example below. # defining function lotvol <- function(t,n,p){ x <- n[1]; y <- n[2] rx <- p["rx"]; ry <- p["ry"] Kx <-

Part 1) is basically that the initial rescaling is done if the window is too large to fit on the screen. That's true and obvious (no scrollbars) and intentional and on the help page. As ever, you need to report bugs on what is documented, not what you would like. This will be changed for 1.2.1, but was several hours' work. I have also cleaned up the scrollbar behaviour. Part 2) I just

I am trying to plot positions on a grid where the x and y axis equate to longitudinal and latitudinal co-prdinates respectively. As these co-ordinates are southings and westings, i need the origin of my graph to contain the two highest values of each co0ordinate, with the values decreasing in both respects along both axes - I cannot seem to find any function within r to allow me to do this. Also,

Dear Rusers, Recently, i saw the sentence "rescale the data into unit square" for several times. Could anybody tell me what it means,and give an example? Thanks very much! -- Kind Regards, Zhi Jie,Zhang , [[alternative HTML version deleted]]

I am using R version 2.12.1 on Win XP. I have done a heatmap with dendrogram using the heatmap.2 function. The heatmap basically looks like I want it to be, but the labels of the columns are cut off. I.e. the textual labels of the columns, although they are not very long (less than 12 characters), do not fit into the window and can not be read entirely. If I manually resize the graphics

Full_Name: Gerhard Thallinger Version: 2.3.0; 2.2.0 OS: Windows XP Submission from: (NULL) (212.183.54.87) Invoking windows() with the parameter rescale="fixed" followed by plot.new() or any other plot command causes very often the following error: windows(width=7, height=7, rescale="fixed");plot.new() Error in plot.new() : outer margins too large (fig.region too small)

Apologies in advance if my comments don't help, in which case, no need to respond, but I noted in ?ksmooth: "bandwidth the bandwidth. The kernels are scaled so that their quartiles (viewed as probability densities) are at ? 0.25*bandwidth." So, could this be a source of the discrepancies you cited? Given that ?ksmooth explicitly says: "Note: This function was implemented for

Dear Sir, Madam, or to whom this may concern, my name is Jan Failenschmid and I am a Ph.D. student at Tilburg University. For my project I have been looking into different types of kernel regression estimators and corresponding R functions. While comparing different functions I noticed that stats::ksmooth returned different estimates for the same bandwidth as other kernel regression estimators

I am trying to run the R Script below, I have actually simplified it to just this part that is causing issues. When I run this script I continue to get an error that says "cannot rescale a constant/zero column to a unit variance". I cannot figure out what is going on here. I have stripped down my data file so it is more manageable so I can try to figure this out. The data.txt file

Dear Community! I'm using the svm method of package e1071 for classifying my data. This really works fine, but however I have to work after creating the support vectors and the parameters with unscaled data. So the problem is when I try to train the classifier with the option "scale=F" the result is quite poor, so training with scaled data is essential. The rescaling of the support

How do one dertermine the optimal number of rescaling cycles to use when performing DCA using the decorana function (library vegan)? Thanks for your time, Marc =================== Marc Bélisle Professeur adjoint Chaire de recherche du Canada en écologie spatiale et en écologie du paysage Département de biologie Université de Sherbrooke 2500 Boul. de l'Université Sherbrooke, Québec J1K 2R1

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Dear R-helpers, I don't see a difference between the following two plots of effect objects, which I understand should be different. What am I missing? require(doBy) require(effects) data(budworm) m1 <- glm(ndead/20 ~ sex + log(dose), data=budworm, weight=ntotal, family=binomial) m1.eff <- all.effects(m1) plot(m1.eff, rescale.axis = FALSE, selection = 2, main = 'rescale =

Hi R-users, I would like to find the goodness of fit using Chi-suare test for my data below: xobs=observed data, xtwe=predicted data using tweedie, xgam=predicted data using gamma > xobs <- c(223,46,12,5,7,17) > xtwe <- c(217.33,39,14,18.33,6.67,14.67) > xgam <- c(224.67,37.33,12.33,15.33,5.33,15) > chisq.test(xobs, xtwe = xtwe, rescale.p = TRUE) Error in chisq.test(xobs,

I am a true R novice aonly using it for this function ;) I am trying to use color2D.matplot to form a image of my data using the following conditions color2D.matplot(fi1, c(dr), c(dg), c(db), nslices=7, ylab='Species', xlab="gene", show.legend=TRUE) where fi1 is my matrix. I have a matrix with 36 columns and 130 rows. most entries are 1 or 0 and I am trying to get this

Hi all My details: platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 7.0 year 2003 month 04 day 16 language R Please excuse my woeful ignorance, but when I copy the contents of an R-graphics window produced using "windows()" (or any of its close relations) to the clipboard as a windows metafile and then paste the