similar to: Removing rows with rowsums==0 (I can't figure this out)

The new code is dedicated to calculate free inodes number of all inode_allocs, then return the info to userpace in terms of an array. Specially, flag 'OCFS2_INFO_FL_NON_COHERENT', manipulated by '--cluster-coherent' from userspace, is now going to be involved. setting the flag on means no cluster coherency considered, usually, userspace tools choose none-coherency strategy by

I have used lme() on data from a between-within subjects experiment. The correct ANOVA table is known because this is a textbook example (Experimental Design by Roger Kirk Chapter 12: Split-Plot Factorial Design). The lme() F-values differ from the known results. Please help me understand why. d<-read.table("kirkspf2.dat",header=TRUE) for(j in 1:4) d[,j] <- factor(d[,j]) ### Make

"in non linear modelling finding appropriate starting values is something like an art"... (maybe from somewhere in Crawley , 2007) Here a colleague and I just want to compare different response models to a null model. This has worked OK for almost all the other data sets except that one (dumped below). Whatever our trials and algorithms, even subsetting data (to check if some singular

Hello, I saw this posting by Christopher Robert Woods. I am having the identical problem with Samba on Suse Linux 7.2 (OS/390). Is there any known workaround? ---------------------------------------------------------------------------- -------------------- To: Multiple recipients of list SAMBA <samba@samba.org> Subject: Symantec Ghost and Samba From: Christopher Robert Woods

Hi, David H.H. announced recently that jquery is going to be the default in Rails 3.1, and that Prototype helpers / RJS are going into a gem. What does that mean for the future? Should we progressively forget about things like javascript helpers, RJS, and all these fun parts of rails? And start coding with jquery/json in mind? I''m not against that at all, but I have to admit I find RJS

station month bas 190 5 0.000 190 7 1.563 190 10 0.000 190 11 0.000 202 4 18.750 202 5 18.750 202 7 6.250 202 10 4.800 202 11 3.125 198 4 18.750 198 5 31.250 198 7 3.125 198 10 3.200 198 11 12.500 205 4 0.000 205 5 0.000 205 7 0.000

#this is my stab at - I am sure that I am missing something. If this doesn't make sense then please ask for more details. #This may show my low level of programing knowledge hester. <- c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4) value <- rnorm(16) x <- data.frame(value, hester.) z <- (if(x[,"hester."]==1){ x[,"value"]*6.250} else if(x[,"hester."]==2){

Hi all Consider the classic data below from Darwin on the heights of 15 pairs of zea mays (corn) plants either cross-fertilized or self-fertilized, where the goal is to see if it makes a difference. > head(ZeaMays) pair pot cross self diff 1 1 1 23.500 17.375 6.125 2 2 1 12.000 20.375 -8.375 3 3 1 21.000 20.000 1.000 4 4 2 22.000 20.000 2.000 5 5 2 19.125

someone sent in a question earlier about doing something in 3D so i took a stab at it purely for educational purposes ( i'm not even sure that I understood the question actually ). Unfortunately, persp gives me an error that I don't understand because it says "object y not found". I'm sending y in as a parameter to persp similar to what ?persp shows in one of oits examples

Dear Rexperts, I am trying to add a '+' identifying the mean in a boxplot using the following sizelist <- split(size, grp) centers <- boxplot(sizelist, style.bxp = "att", medpch = "o", ylab = "Prostate Volume (cm3)") points(centers, unlist(lapply(sizelist, mean)), pch = "+") But, I get error Error in xy.coords(x, y) :

Dear R-maillit, I have to perform a stastistical test to asses if two grug show the same or different effect on my prepartion. I tested on the same preparation only one drug and I have to use normalized data due to high variability in the control condictions. What type can I use? A non paramatric test right? And how can do it on R software? Thanks in advance Simone [[alternative HTML version

Hello, Using the dataset below I produce a soil.texture plot (R code for this included at the end). One will notice I have plotted the points based on whether or not they are in a region called 'upstream' or 'downstream'. I'm curious if there is a way to somehow extract counts of the number of points (red points and blue points) falling within each classification (e.g. silty

I don't have Kirk but with your data in file "Kirk.txt" in the working directory, here is how I would do it. --- > Kirk <- read.table("Kirk.txt") > names(Kirk) [1] "subject" "A" "B" "C" "response" > for(j in 1:4) Kirk[,j] <- factor(Kirk[,j]) ### Check this! > fm <- aov(response ~

read.table("bug.txt", header=TRUE) plotMeans(bug$tot, bug$station, error.bars="se", main="Total") The plot is ordered in this way HC RM190 RM198 RM202. I would like it to plot in this way HC RM202 RM198 RM190. thanks Stephen Is this okay or would you like the data to be copied and pasted into the message body. I am trying to optimize my postings. -- Let's

Summary: patch to add environment parameter to load() to allow -------- specification of destination environment. --> Patch against R 0.63.2 appended at end of this message. <-- Story: ------ I've been running some rather long MCMC chains, which occasionally crash, either due to an "Invalid tag in name extraction" error, or due to the machine going down. (I'm playing

--0__=88256B050063F04C8f9e8a93df938690918c88256B050063F04C Content-type: text/plain; charset=us-ascii The attached script produces "Error in plot.xy ... negative length vectors are not allowed" when using pdf() but not when using postscript (). platform sparc-sun-solaris2.8 arch sparc os solaris2.8 system sparc, solaris2.8 status major 1 minor 3.1 year 2001 month

Hello, I am using package MuMIn to calculate AIC for a full model with 10 explanatory variables. Thanks in advance in sharing your experience. Q1 In the AIC list of all models, each model is differentiated by model number. Please kindly advise if it is possible to find the corresponding explanatory variable(s) for the model number. Q2 error message I tried to display sub-model with only

Hi, I have to do a four point logistics for a dataset. All I have is the absorbance value for different proteins and need to get the four Point values. I have no idea where to start. Any suggestions would be much helpful. Thanks Ramya -- View this message in context: http://r.789695.n4.nabble.com/Four-paramete-logistics-tp3265251p3265251.html Sent from the R help mailing list archive at

Dear R help; I'll preface this by saying that the example I've provided below is pretty long, turgid, and otherwise a deep dive into a series of functions I wrote for a simulation study. It is, however, reproducible and self-contained. I'm trying to do my first simulation study that's quite big, and so I'll say that the output of this simulation as I'd like it to be is

Does R graphics have a way to easily label the horizontal axis by the reciprocal of the scaled value? -- View this message in context: http://r.789695.n4.nabble.com/Graphics-Reciprocal-labeling-tp3949054p3949054.html Sent from the R help mailing list archive at Nabble.com.