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Dear all, I'm writing my manuscript to publish after analysis my final data with ANOVA, ANCOVA, MANCOVA. In a section of my result, I did correlation of my data (2 categirical factors with 2 levels: Quantity & Quality; 2 dependent var: Irid.area & Casa.PC1, and 1 co-var: SL). But as some traits (here Irid.area) are significantly influenced by the covariate (standard length, SL), I

Dear group, Here is my data frame: position100415 <- structure(list(DESCRIPTION = structure(1:9, .Label = c(" SUGAR NO.11 Jul/10 ", " SUGAR NO.11 May/10 ", "CORN May/10 ", "COTTON NO.2 Jul/10 ", "CRUDE OIL miNY May/10 ", "ROBUSTA COFFEE (10) Jul/10 ", "SILVER May/10 ", "SOYBEANS Jul/10 ", "WHEAT May/10

This patchset applies some minor fixes to renouveau.xml and then unifies the nv30 and nv40 register definitions. nv30 and nv40 are very similar and have the same offsets for the registers they share. The major differences are: 1. Texture setup is different due to full NPOT support on nv40 2. More advanced blending/render targets on nv40 3. NV30 has fixed function registers, which NV40 lacks The

Dear friends, when i use glm() to fit my data, i use glm(formula = snail ~ vegtype + mhveg + humidity + elevation + soiltem, *family = Gamma(link = inverse),* data =a,)) It shows: error in eval(expr, envir, enclos) : *gamma distribution don't allow negative value*. But i use result<-glm(formula = snail ~ vegtype + mhveg + humidity + elevation + soiltem, family = poisson, data =a) #this

Dear users, I am attempting to plot an ols() call from the Design package, by following the procedure explained by Harald Baayen in his 2008 book 'Analyzing linguistic data. A practical introduction to statistics using R', page 175-181. I've attached my data to this e-mail (I hope it's small enough that that's ok). First I paste all the commands I ran, followed by the

Found this solution. It is maybe not the most elegant way, but it does the job. > a=as.data.frame(substr(lme$DESCRIPTION,1,14)) > colnames(a)=c("DESCRIPTION") > lme=as.data.frame(c(a,lme[,2:3])) > lme DESCRIPTION CLOSING.PRICE POSITION 1 PRIMARY NICKEL 25,755.7100 0 2 PRIMARY NICKEL 25,760.8600 0 3 PRM HGH GD ALU 2,415.9000 0

Hi, I am trying to test the proportional-odds model using the "polr" function in the MASS library with the dataset of "housing" contained in the MASS book ("Sat" (factor: low, medium, high) is the dependent variable, "Infl" (low, medium, high), "Type" (tower, apartment, atrium, terrace) and "Cont" (low, high) are the predictor variables

Hi, I managed to make R core dump (linux and Mac OSX versions), but I think I've figured out why. First, here's the message I get on core dump (on linux - no message on Mac): R: ../inst/include/tnt/fmat.h:529: TNT::Vector<T> TNT::matmult(const TNT::Fortran_Matrix<T>&, const TNT::Vector<T>&) [with T = double]: Assertion `A.num_cols() == x.dim()'

NV10TCL defines the vertex buffer registers both as arrays and as individual named registers. This causes duplicate register definitions and the individual registers are not used either by the DDX or by the Mesa driver. Francisco Jerez said to remove them all. Signed-off-by: Luca Barbieri <luca at luca-barbieri.com> --- renouveau.xml | 49

Hello, I've just run out of memory on a dual xeon with 5GB ram, considering there should have been around 4GB free (not counting buffers and cache)... this is unusual. Now after it OOM'ed I tried running top and memory usage was fine (around 1GB of 5, no swap usage of 12GB). So I thought it was a temporary thing, but processes kept on OOM'ing for no understandable reason... while

HI: I run glusterfs with four nodes, 2x2 Distributed-Replicate. I mounted it via fuse and did some test, it was ok. However when I mounted it via nfs, a problem was found: When I copied 200G files to the glusterfs, the glusterfs process in the server node(mounted by client) was killed because of OOM, and all terminals of the client were hung. Trying to test for many times, I got the

Hi: After compiling rsync2.5.6 using on SVR4 on Intel HW, Please help # ./rsync --version rsync: --version: unknown option rsync error: syntax or usage error (code 1) at main.c(994) # ./rsync --help Segmentation Fault - core dumped Here is log of compilation. Script started on Sat Jun 21 05:56:15 2003 # make cc -I. -I. -g -DHAVE_CONFIG_H -I./popt -c rsync.c -o rsync.o NCR High

Dear group, Here is my data.frame : df <- structure(list(DESCRIPTION = c("PRM HGH GD ALU", "PRM HGH GD ALU", "PRIMARY NICKEL", "PRIMARY NICKEL", "PRIMARY NICKEL", "PRIMARY NICKEL", "STANDARD LEAD ", "STANDARD LEAD ", "STANDARD LEAD ", "STANDARD LEAD ", "STANDARD LEAD ",

I was running a simple script and the system became unresponsive. I went to the console and couldn't get it to respond, so I had to POWER OFF! Ugh! (Note: this script, get-backup, ran fine on a CentOS 4.5 system) Looking through /var/log/messages, I see: Jan 23 12:52:14 DoyleBrunson kernel: ps invoked oom-killer: gfp_mask=0xd0, order=0, oomkilladj=0 Jan 23 12:52:14 DoyleBrunson kernel:

Hi all, It seems like I cannot use normal 'if' for data frames. What would be the best way to do the following. if data$col1='high' data$col2='H' else if data$col1='Neutral' data$col2='N' else if data$col='low' data$col2='L' else #chuch a warning? Note that col2 was not an existing column and was newly assigned for this

(crossposted to freebsd-security just in case someone has to slap me) :) Hello, I'm doing some work with the MAC subsystem in FreeBSD, and I have spotted some errors in the MAC documentation in the handbook. 1- Section 15.14.4. Error in the example dropping users "nagios" and "www" into the insecure class. The example uses the command "pw usermod nagios -L

Hi, i want transform data and using apply(data,2,fuz) , but i don't know why the values < low & > high don't get 0 or 1, they get the value from Formula ,too "((x-low)/(high-low))" what's not the intention ? ....is switch more approriate !? thanks for advance ,Christian fuz <- function (x) { #x <- na.omit(x) low <- quantile(x,0.15)[[1]] high

Hello Almighty All, I am trying to get the LoMAC module revoke user's privileges. In my test setup, the user with a higher clearance tries to open a lower clearance file for reading. After that the process label of the user's process is checked. As a final test, the user's process tries to write to a file with the higher integrity label. And he succeeds. Please find my test setup

R users, I am trying to find some way to find the value of a column that is repeated the most for each StandID of a dataframe. I have research methods online and the help page, but have had no success in finding a solution. I have tried using the table function but it returns items for the whole dataset and not by the StandID. Any help will be appreciated. Thanks in advance. R version 2.11.1

Dear R users, I am using function bandplot from the gplots package. To my understanding (viewing the source of bandplot) it calls function plot (add = FALSE) with the same parameters (except for a few removed). I would like to give extra parameters 'xlab' and 'ylab' to function bandplot, but, as can be seen below, that raises warnings (and the labels do not show up at the end).