similar to: xts dates spacings

width <- 7 height <- 5 # create whatever device type # and have cex=1 before setting par(mai=) windows(width=width, height=height, rescale="R") oldmai <- par("mai") par(cex=1) par(mai=oldmai) plot.new() par(usr=c(0,2,0,2)) par(cex=2) par1 <- par() text(1,1,"there is hardly anything i know for sure\nneither of the future nor of the past\nnor should i know what

This might not possible in R but I thought I would give it shot. I am have to set up a 40 x 40 cm grid of 181 points equidistant from each other. Is there any way to produce a graph with R that can do this for me? Actual sizes are unimportant as long it is to scale. Thanks -- View this message in context: http://www.nabble.com/Grid-building-in-R-tp18371874p18371874.html Sent from the R help

Hi, I've been using R since a while now to make 2D histograms. I have some data (appended) that would like to use to make a 3-D plot with x being the first variable in the file, y the second and the height, or z the third variable. How can I do it in R? I would like to have 3-D visualization of this plot. Preferably as a lego plot, that is, a set of stacks that grow with respect to the

I thank all who replied to my first post regarding random number gereration in R. I have taken all your advice and read much about the gereration of random numbers. I have managed to find a few pieces of code that I have converted for my Java program and am now at the stage of testing these systems. I have found a number of articles on the testing of random numbers and some nice tests that

Hi, I don't understand what hist(x, freq=FALSE) does. At first I thought it would be just the relative frequencies instead of the absolute frequencies, by just computing "frequencies / n" in every category. But with a small dataset the y-values (densities) don't sum to one. Is there a way to get the histogram doing that? Or what is the idea of this density-computation?

Dear All, I'm having trouble tweaking a forest plot made using the R meta-analysis package metafor. I did the analysis based upon the correlation coeff from studies and plotted the corresponding forest plot easily > q2<-rma(yi,vi,mods=cbind(grupo),data=qim) > q2 > forest (q2,transf=transf.ztor,digits=3, ... ,alim=c(0,1),refline=.5) > text(-1.55,42,"Esp?cie

Hi Folks, I'd be grateful for good suggestions about the following. I'm plotting a family of (X,Y) curves (for different levels of another variable, Z): say 6 curves in all but could be more or less -- it's a rather variables situation. I'd like to label each curve with the value of Z that it corresponds to. The problem is that the layout (shapes, spacings, ranges of X over

Newbie question - mechanical engineer trying to learn R I've had success with plotting time series data and even made a heat map using R Graphs Cookbook by Mittal. I have a new problem - I need to align a number of time series data "columns" to the desired regular exact time stamp vector. The target time vector could be finer or more course than the typical time stamp spacing found.

Mich besch?ftig folgende Fragestellung. Ich kenne die Verteilung (lognormal) zus?tzlich weiss ich das 99%, das 90% und das 1% Quantil. Gibt es in R eine M?glichkeit die Lognormalverteilung zu finden, das heisst den korrespondierenden logmean und logsd? Vielen Dank f?r ihre Hilfe Gruss Yvonne

Hello, 1. I have a number of snow depth measurements (centimeters depth) that were acquired in a row (linear transect). A: I am trying to plot the probability density function (PDF) of these points. When I use the "dnorm" command and line type = points, the PDF is displayed correctly. When I change the line type = line, it displays the PDF curve with numerous lines connecting multiple

The build system rolled up R-3.6.2.tar.gz (codename "Dark and Stormy Night") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.6.2.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter

The build system rolled up R-3.6.2.tar.gz (codename "Dark and Stormy Night") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.6.2.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter

The build system rolled up R-3.6.2.tar.gz (codename "Dark and Stormy Night") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.6.2.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter

Hi All, I might misunderstood how cut works. But following behaviour surprises me. vv <- seq(150, 346, by= 4) cc <- cut(vv, 12) cc[vv == 330] Results [1] (330,346] I would have expected 330 to fall into (313,330] category. Can you please advice what do I do wrong? Many Thanks, Jussi Lehto -------------- next part -------------- Visit our website at http://www.ubs.com This message

Kia Ora everybody. There must be an obvious answer to this, but I can't see it.... I want four square plots in one postscript file. The canonical answer would be: postscript(file="~/f.ps",width=5,height=5) par(pty="s",mfrow=c(2,2)) plot(1:19,xlab="") plot(1:19,xlab="") plot(1:19,xlab="") plot(1:19,xlab="") dev.off() But this

I'm currently using the below function from some library (MASS?) for writing my data out to file. I'm using it instead of plain old "write" because it does buffering. The problem that I'm having is that the numbers are space padded, but I need true tab-delineated files. It looks like the spaces are coming from 'format', but I don't see an option for format to

Dear All, I cannot find a solution to the following problem although I imagine that it is a classic, hence my email. I have a vector V of X values comprised between 1 and N. I would like to get random samples of X values also comprised between 1 and N, but the important point is: * I would like to keep the same distribution of distances between the X values * For example let's say N=10 and

It is not obvious what it is that you are calling "R-patched", nor where there could be an entry for "3.6.2 patched". The prerelease/patched versions are snapshots of R-3-6-branch made at 00:20 so the current one will have been made before the release version run started at 09:00 this morning, and hence the nightly tarball will be of the release candidate. However it will not

If I have data that I feed into shapio.test and jarque.bera.test yet they seem to disagree. What do I use for a decision? For my data set I have p.value of 0.05496421 returned from the shapiro.test and 0.882027 returned from the jarque.bera.test. I have included the data set below. Thank you. Kevin "Category","Period","Residual" "CHILD HATS, WIGS &

Hi. Under R-news there is an entry for 3.6.2 patched regarding LAPACK. However, when uncompresding the current R-patched, it creates R-Rc directories. Is this a naming oversight or is the patched version actually the unadjusted release candidate? Thank you, Avi On Thu, Dec 12, 2019 at 4:58 AM Peter Dalgaard via R-devel < r-devel at r-project.org> wrote: > The build system rolled up