similar to: [Bug 24886] New: Cursor not drawn after a resent commit

http://bugs.freedesktop.org/show_bug.cgi?id=24603 Summary: LVDS-0 off after resume, PGRAPH_ERROR in kern.log Product: xorg Version: unspecified Platform: Other OS/Version: All Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo: nouveau at lists.freedesktop.org

https://bugs.freedesktop.org/show_bug.cgi?id=30370 Summary: Nouveau module crashes with "divide error" Product: xorg Version: git Platform: x86-64 (AMD64) OS/Version: Linux (All) Status: NEW Severity: critical Priority: medium Component: Driver/nouveau AssignedTo: nouveau at

Hi guys, I am updating a package because of data format in data folder. So I just change an extension of a file to .txt ... nothing more. I get this error on the R CMD check ** help *** installing help indices ** building package indices ... Error in read.table(zfile, header = TRUE, as.is = FALSE) : more columns than column names ERREUR : installing package indices failed Note that the R CMD

Hi all, I'm having some troubles with the Quantreg package. I am using R version 2.10.0, and have downloaded the most recent version of Quantreg (4.44) and SparseM (0.83 - required package). However, when I try to run an analysis (e.g. fit1<-rq(y~x, tau=0.5)) I get an error message saying that the function "rq" could not be found. I get the same message when I try to search

Removing rows with NAs, using na.omit(), doesn't seem to be working for me. Dataset: > str ( ex10s ) 'data.frame': 2189576 obs. of 5 variables: $ LOPNR : int 58 58 58 58 64 64 64 64 64 64 ... $ DIAGNOS: Factor w/ 173 levels "F20","F200","F2000",..: 128 128 128 128 105 105 105 160 105 105 ... $ X_DATE : int 20060821 20061207 20080102 20090904

Hi Stuart, I often use this small function standardize <- function(x) ( x - mean(x, na.rm=T) ) / sqrt(var(x, na.rm=T)) to standardize variables. You should be able to use this to do what you want by splitting the data frame into sections based on the factor level, using standardize() to create a new variable in each section, then paste the data frame back together. Something like: #

(Many thanks to David Barron & Jonathan Baron for pointing me to 'recode' in the 'car' package). I think I've been told this before, but how do I search for a function/keyword in libraries I don't yet have installed? (ie. on the CRAN site I tried the search engines with "recode" etc., but didn't pick up the car package this way) Stuart Dr Stuart Leask

I've tried installing wine using synaptic on ubuntu, also compiling form source and a couple of other ways but never get a ./wine/config file ? Any idea what I'm doing wrong? Thanks Jim -- Dr. Jim Maas james.maas@nottingham.ac.uk This message has been checked for viruses but the contents of an attachment may still contain software viruses, which could damage your computer system:

I would be very grateful for any help from members of this list for what might be a simple problem... We are trying to simulate the behaviour of a clinical measurement in a series of computer experiments. This is simple enough to do in R if we assume the measurements to be Gaussian, but their empirical distribution has a much higher peak at the mean and the distribution has much longer tails.

I would like to run a for loop with an index going from 0 to 499 but the following seems to miss out the first value: C <- 499 for (i in 0:C) The alternative is: C <- 500 for (i in 1:C) { #Then every time I use i, I replace it with i-1 } Is this a good way to do it or is tere a better way? Thank you, ThomasThis message and any attachment are intended solely for the addressee and may

Hello All, Is there a way of producing an ANOVA table split into contrasts, thus showing the contrasts sums of squares and associated p-values? Thanks, Martin. Martin Hoyle, School of Life and Environmental Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK Webpage: http://myprofile.cos.com/martinhoyle

Hi list, This is driving me to distraction. I have installed the 3.0.14a RPMS on SLES8, and am following chapter 9 of the 'By Example' documentation, to migrate from an NT domain to a Samba domain backed by LDAP. I have followed the instructions up to the point where I enter: net rpc join -S pdc_it -U Administrator%password Unfortunately, this responds with: Creation of workstation

Hi all, Has anyone tested for FA in R? I need to seperate out the variance due to measurement error from variation between individuals (following Palmer & Strobeck 1986). Andy Higginson Animal Behaviour and Ecology Research Group School of Biology University of Nottingham NG7 2RD U.K. This message has been checked for viruses but the contents of an attachment may still contain

I am having problems getting my 64-bit Debian Squeeze (Xen version 4.0, Linux Kernel 2.6.32) dom0 to recognize a harddrive connected to a secondary sata controller. My motherboard is a Gigabyte GA-X79-UP4 and has two sata controllers. The first is controlled by an Intel X79 chipset and the second is controlled by a Marvell 88SE9172 chip. During the initial install of Debian everything is fine and

Dear All, I wonder if anyone can advise me as to whether there is a consensus as to how the effect size should be calculated from GLIM models in R for any specified significant main effect or interaction. In investigating the causes of variation in infection in wild animals, we have fitted 4-way GLIM models in R with negative binomial errors. These are then simplified using the STEP procedure,

Hello R Users, I am investigating the basic use of the LME function, using the following example; Response is Weight, covariate is Age, random factor is Genotype model.lme <- lme (Weight~Age, random=~ 1|Genotype) After summary(model.lme), I find that the estimate of Age is 0.098 with p=0.758. I am comparing the above model with the AOV function; model.aov <- aov (Weight~Age + Genotype)

Dear R Users, I suppose this is a school boy question, but here it is anyway. I'm trying to re-create the residuals for a poisson GLM with simulated data; x<-rpois(1000,5) model<-glm(x~1,poisson) my.resids<-(log(x)- summary(model)$coefficients[1]) plot(my.resids,residuals(model)) This shows that my calculated residuals (my.resids) are not the same as residuals(model). p 65 of

I would be grateful if members of the list could point me in the direction of any code (preferably in R) that will allow me to estimate 95th percentiles from a set of repeated measurements. For example, we are interested in a clinical measurement where we have 3 measures for 14 subjects and 2 measurements on 24 subjects and single measurement on 36 subjects. We want to combine these to form a

I want to form a 3x3 crosstabulation for the signs of two vectors (i.e. Negative, Zero, Positive). The problem is that I am simulating the data so for some iterations one of the categories is absent. Thus the resulting table shrinks to 3x2. I want it to be 3x3 with zero column corresponding to the missing category. Moreover, I have tried but failed to give the dimension names. -- Sohail Chand

I know there's a really easy way to do this but I just can't track it down. I experimented with various apply functions but couldn't get it quite right. I have a matrix like this: 1, 16 1, 23 1, 21 1, 6 1, 25 2, 4 2, 17 2, 45 2, 11 2, 20 and I'd like to find the max value in Column 2 (or the index to the max value) grouped by the first column. So the max for Group 1, the max for