similar to: Select varying LS digits in long numbers?

Dear R users: I assigned students to make some graphs and I'm having trouble answering some questions that they have. We are all working on R 2.1 on Fedora Core Linux 4 systems. 1. In the plot, the axis is not labeled by "numbers", but rather scientific notation like "-2e+08" or such. We realize that means -200,000,000. We want to beautify the plot. We would rather

Here are another three problems with logarithmic scales: 1) segments() does not work with logarithmic scales. I suggest to change lines 962-973 in "plot.c": for (i = 0; i < n; i++) { if (FINITE(xt(x0[i%nx0])) && FINITE(yt(y0[i%ny0])) && FINITE(xt(x1[i%nx1])) && FINITE(yt(y1[i%ny1]))) { GP->col = INTEGER(col)[i % ncol];

Hi Folks, Say I have 2 continuous variables X,Y. I can of course plot (X,Y) with plot(X,Y,pch="+",col="blue") say, and add the regression line from lm(Y~X) by extracting the coefficients 'a' of Intercept and 'b' of X from Y.lm <- lm(Y~X). Now, however, I want to have not only a general explanatory title such as main="Plot of Y against X"

Hi Folks, Given a series of n independent Bernoulli trials with outcomes Yi (i=1...n) and Prob[Yi = 1] = Pi, I want P = Prob[sum(Yi) = r] (r = 0,1,...,n) I can certainly find a way to do it: Let p be the vector c(P1,P2,...,Pn). The cases r=0 and r=n are trivial (and also are exceptions for the following routine). For a given value of r in (1:(n-1)), library(combinat) Set <- (1:n)

Hi, are there any plans to add a colorbar legend to image()? Or such a possibility already implemented which I just haven't discovered yet. Anyway, I will be willing to spent some time on the implementation if there isn't anyone working on that already. Thanks Thomas -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read

Full_Name: Jerome Asselin Version: 1.6.2 OS: RedHat Linux 7.2 Submission from: (NULL) (142.103.173.179) Should be an easy fix... Consider the examble below: plot(0,0) legend(0,0,c("Hello!","Hi!"),pch=1:2,lty=1:2,trace=T) It gives the following trace: > plot(0,0) > legend(0,0,c("Hello!","Hi!"),pch=1:2,lty=1:2,trace=T) xchar= 0.05178 ;

I'm asking here, rather than R-devel, because it seems to be a Linux specific question and because I'm using Ubuntu-9.04. I'm trying to profile an package, and got errors, so I decided to follow BDR's (http://tolstoy.newcastle.edu.au/R/devel/06/02/4254.html) example exactly, and got same problem. Can anyone replicate? $ sudo mkdir -p /var/tmp//usr/lib/R/library/stats/libs $

I'm working up a set of small working examples in R to show what various distributions are and the beauty of the central limit theorem. Those example programs are in this directory: http://lark.cc.ukans.edu/~pauljohn/R/ExampleCode/ You can feel free to use those if you want, or you can send me other small working example code for R. The key here is small, self contained things that

I handed out some results from glm() and the students ask "how many observations were dropped due to missing values"? How would I know? In other stat programs, the results will typically include N and the number dropped because of missings. Without going back to R and fiddling about to find the total number of rows in the dataframe, there is no way to tell. Somewhat

https://bugzilla.samba.org/show_bug.cgi?id=3844 Summary: --delete with --dry-run no longer reports files to be deleted Product: rsync Version: 2.6.8 Platform: x86 OS/Version: Linux Status: NEW Severity: normal Priority: P3 Component: core AssignedTo: wayned@samba.org

Using RedHat Linux 7.0, R-1.2.2, R-hdf5-1.2 library, I want to load a dataset, do some stuff with it, then erase its objects, get an other, repeat. My friend wrote a function which tried to clear away all the objects. At the end, it uses rm() to remove objects. This is the same way we do it interactively, from the R prompt: testLoadSeveralHDF <- function(numFiles) { for (i in

I have a linux system with Fedora Core 2 and R-2.0. I was comparing plots made with plot() and dotplot() and discovered a problem. Although the dots are positioned correctly, the numerical labels in the dotplot y axis are not correct. I put copies here: http://lark.cc.ku.edu/~pauljohn/R/plotTrouble1.jpg That is the "correct" one from plot, with the higest value on y showing at 18.

Dear Friends in R: On RedHat linux, R-1.1, I've gotten far enough to create the graph that shows on the screen with 3 lines, but I have some trouble. Here is the way I created the three "overlaid" graphs: data<-read.table("DataCulture0",header=T,as.is = TRUE) attach(data) tmp1<-plot(acquaint~T,type='l', ylim=c(0,1),ylab="average

Should utils::ls.str() be updated as: svn diff src/library/utils/R/str.R Index: src/library/utils/R/str.R =================================================================== --- src/library/utils/R/str.R (revision 71879) +++ src/library/utils/R/str.R (working copy) @@ -622,7 +622,7 @@ args$digits.d <- NULL } strargs <- c(list(max.level = max.level, give.attr = give.attr,

I have made a plot with a legend and on the screen it looks fine, but when I save as jpg or pdf, or print, the legend box is too small, it cuts through the words on the right side. I put an example here: http://lark.cc.ukans.edu/~pauljohn/R/apdftest.pdf Is there a work around? -- Paul E. Johnson email: pauljohn at ukans.edu Dept. of Political Science

Last Friday, I noticed that it is difficult to work with regression models in which there are factors. It is easier to do the old fashioned thing of coding up "dummy" variables with 0-1 values. The predict function's newdata argument is not suited to insertion of hypothetical values for the factor, whereas it has no trouble with numeric variables. For example, if one uses a

I just heard a talk about a semi-parametric model. I was quite excited by the idea. This model is fitted y= xB + g(z) + e where x is a data matrix, B a column vector, z is another data matrix, and g is a smooth model fitted by a Kernel Smoothing regression (I got the idea any smoother would do as well). The speaker said that when z is considered as a "control" variable, and there is

Simple usage questions that I ought to be able to figure on my own, but can't. 1.I'm able to produce a cross tabulation table showing counts with either table or xtabs. But I want column percentages for interpretation, and it seems stupid to sit there with a calculator figuring marginals and column percentages. How to make R do it after this: > x <- c(1,3,1,3,1,3,1,3,4,4)

mysql Ver 14.12 Distrib 5.0.95, for redhat-linux-gnu (x86_64) using readline 5.1 I spotted something strange and immediately installed a routine to automatically impose an iptables block when the key used for database access is excessively long. My URL was something like this ...../...../.....php?key=123456 The injection was something like this

Dear R help reader, I'm not an expert in R and are lerning a lot by reading the help digest, which is sometimes difficult because the huge amount of data posted. I have posted some questions before, and are impressed how quick I got a solution for my problem. Sometimes with quite different suggestions. I was always wondering if my questions didn't come up before. On the other site,