similar to: Error in plot.aov() (PR#356)

Confirmation from John Maindonald. -- Brian D. Ripley, ripley@stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 ---------- Forwarded message ---------- Date: Fri, 3

I have been struggling trying to write some code to produce all combinations subject to some restrictions. I thought someone might have some bright ideas. I have 11 values which fall into 5 groups. I want all combinations of 2,3, and 4 values where each value must be from a different group. The numbers in the groups are different. Here is a definition of the groups: groups <- list(gp1 =

I am having trouble plotting one of my graphs (think graph theory graph with edges and vertices, not scatterplots or histograms). For some pairs of vertices, I want multiple edges to be visible in my graph. As an example of this, in my script below, I want two edges to be visible from vertex 1 and vertex 9 (among some others) yet when I plot it, only one edge is visible.

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Dear all, I noticed the following behaviour of plot.lm: > fm1 <- lm(time~dist, data=hills, weights=c(0,0,rep(1,33))) > par(mfrow=c(2,2)) > plot(fm1) Warning messages: 1: longer object length is not a multiple of shorter object length in: res/(sd * (1 - hat)) 2: longer object length is not a multiple of shorter object length in: (res/(sd * (1 - hat)))^2 * hat which seems to be

Hi I am trying to do a logistic regression on a small data file yet when i get up to plotting the first set of graphs instead of 4 I only get one graph, and some error messages. Yet it still looks like the program is doing something due to the "blue wheel" of the mouse. Below is the script copied from R and where I get up to before the message occurs. The data set is based on how

Hi. I am having trouble thinking of an easy way to grab rows out of a data frame. I want to select the rows with a median value when the rows are similar. A simple example is this table, which I could read into a data frame. I would like to find a new data frame with only the rows with a median value for the "c" column given a certain "a" value. For example, the c values

Ubuntu 8.10 Desktop, Wine 1.1.13 (upgraded from 1.0.1 to try to solve my problem). I have used used Guitar Pro very recently without a problem. After a PSU failure, I had to reinstall the OS and downloaded and installed software, including Wine. Guitar Pro appeared to install properly and its splash screen was normal. Immediately the full program ran, a fatal error stopped it. I have a screen

I want to calculate a statistic on a number of subgroups of a dataframe, then put the results into a dataframe. (What SAS PROC MEANS does, I think, though it's been years since I used it.) This is possible using by(), but it seems cumbersome and fragile. Is there a more straightforward way than this? Here's a simple example showing my current strategy: > dataset <-

Hello, I'm somewhat new to R. I've searched the archive for the last year and tried to consult the manual pages for the following problem, but did not find an answer. I want to sort an array by the index values. Here is the array >acc.gp.bl.wtmn Gp17 Gp4 1 0.5703125 0.6406250 10 0.7812500 0.7109375 11 0.8046875 0.7343750 12 0.8359375 0.7890625 13 0.8515625 0.7109375

Hi: In lattice, how does one handle separate graphical behavior for two different factors? In the xyplot below, the objective is to use the levels of one factor to distinguish corresponding shapes and colors, and the levels of the other factor to perform level-wise loess smooths. # Illustrative data: d <- data.frame(time = rep(1:8, each = 6), val = rnorm(48), gp1 =

Full_Name: Carsten Dormann Version: 1.4.0 OS: Windows 2000 Submission from: (NULL) (192.171.129.9) Hello, using the function xyplot I repeatedly had R crashing. One example is from the book of Mick Crawley (Stat. Computing in Splus), where the commandline reads: xyplot(Weight~Age|Genotype, pch=16) I also had the same phenomenon with my own data and commands even simpler. I reinstalled

Hi: Yesterday, I posted a question regarding how to handle different graphical behavior between two factors in xyplot() [package lattice]. After a public and private reply from Deepayan Sarkar, the problem has been resolved nicely, including the addition of a stacked legend for the two factors in question. The latter requires package latticeExtra. library(lattice) library(latticeExtra) # Test

Hi, a colleague ran a stepwise discriminant analysis twice in a row and got different results, suggesting some "sochasticity" in the algorithms involved. I looked at her data and found that there was a lot of collinearity, so that I reckoned that maybe "stepclass" (klaR) cannot find a clear winner when trying to include a new variable and makes a random choice. Is that true?

My uncle recently bought a new computer and he wants me to help him install Guitar Pro. The thing is, he doesn't have Windows, and I'm thinking of installing Ubuntu with wine on the comp. Quiz time! Can you use wine, with GP, and if you can, deos it perform poorly in any ways?

On Wed, Apr 29, 2015 at 11:33 PM, Kelly Prescott <kprescott at coolip.net> wrote: > to follow-up, I will give an example. > Here is the listing for the official centos AMI: > > IMAGE ami-96a818fe aws-marketplace/CentOS 7 x86_64 (2014_09_29) EBS > HVM-b7ee8a69-ee97-4a49-9e68-afaee216db2e-ami-d2a117ba.2 aws-marketplace > available public [marketplace:

I propose the following enhancements and changes to plot.lm(), the most important of which is the addition of a Residuals vs Leverage plot. (1) A residual versus leverage plot has been added, available by specifying which = 5, and not included as one of the default plots. Contours of Cook's distance are included, by default at values of 0.5 and 1.0. The labeled points, if any, are those

WINE 1.1.18 has a regression from WINE 1.1.14. Once again, GP4 no longer installs from CD... the console outputs the following ole error repeatedly: err:ole:xCall Failed to serialize param, hres 80040155 err:ole:deserialize_param Failed to read integer 4 byte err:ole:TMStubImpl_Invoke Failed to deserialize param State, hres 80004005 err:rpc:I_RpcReceive we got fault packet with status 0x80004005

I'm staring at the free CentOS images on AWS, and seeing that whoever set those up elected to use a partition for /dev/xvda1 rather than taking advantage of Amazon's tendency to use "/dev/xvda", "/dev/xvdb", etc. for each disk and use those directly as a file system. The result is that if you elect to allocate a larger base disk image, for example allocating 50 Gig to

I think the command-line is far more flexable then the GUI interface. I use ec2-api-tools, but the python boto stuff works virtually the same. On Thu, 30 Apr 2015, Nico Kadel-Garcia wrote: > On Wed, Apr 29, 2015 at 11:33 PM, Kelly Prescott <kprescott at coolip.net> wrote: >> to follow-up, I will give an example. >> Here is the listing for the official centos AMI: >>