similar to: gamma distribution don't allow negative value in GLMs?

Dear friends, summary() doesn't give a good ouput style,e.g.: grass soiltem airtem gheight humidity altitude diluo :38 Min. :15.90 Min. :17.70 Min. : 8.00 Min. : 0.2360 high: 43 huanghuacai:32 1st Qu.:19.32 1st Qu.:22.60 1st Qu.:40.00 1st Qu.: 0.3190 low :119 hucao :46 Median :20.20 Median :25.30 Median :60.00

Dear friends, I used R and SAS to analyze my data through generalized linear model, and there is some difference between them. Results from R: glm(formula = snail ~ grass + gheight + humidity + altitude + soiltemr + airtemr, family = Gamma) Deviance Residuals: Min 1Q Median 3Q Max -1.23873 -0.41123 -0.08703 0.24339 1.21435 Coefficients:

ubuntu 8.1 Nvidia 9600GT. Installed BF2 with no problems. Go to run it- first screen comes up, screen blinks, reverts to desktop, changing resolution from 1440x900 to 800x600. so basically it wont even start Ive already tried everything i found in previous forums and appdb (i think ive tried it all) Ive changed the video.con file to read 1024x768 at 60 in the appropiate file. Ive tried

Hii, I will create boxplots from matrices. I have the following data sets: 5.0 1.78 2.99 2.019 0 10.0 1.79 3.00 1.744 0 15.0 1.78 2.98 1.936 0 20.0 1.78 2.99 1.975 0 25.0 1.73 2.91 3.591 0 30.0 1.79 3.00 1.966 0 35.0 1.79 3.00 2.451 0 40.0 1.79 3.00

I seem to be able to run a video game in 1024x867 (what ever it is) as a window, by selecting the window mode button in the game. However, i can not run the game in window mode with a resolution set about 1024x867. What is going on? I am assuming i am missing something in wine or the game that does not allow the video game to be run in any resolution greater than 1024x867 in window mode.

Be forewarned, I am new to Linux. I am using Ubuntu 9.10 (Karmic Koala). I have installed wine (1.1.38) and I am able to run RollerCoaster Tycoon 3 both with and without a virtual desktop. It runs with no problems except for the fact that it does not receive keyboard commands! I have looked all over the Internet and still have yet to find a solution. Someone help, please! I haven't

Hi all. I would be very pleased if someone could help me, as I do not seem to get the different branches of my tree painted in different colours. The closest I get is colouring the names of my samples(=names of the branches). Here is the code. data <- read.table(file = "S://SEDIM//TRFLP//B12.5_50-700bp.txt" , as.is = TRUE, header = TRUE, sep = "\t", row.names =

Nate Homier wrote: > I think I get it. So I added the modeline: > Modeline "1024x768 at 50" 51.85 1024 1056 1248 1280 768 784 791 807 > > But it still don't work. Running winedebug gives: > trace:x11settings:X11DRV_ChangeDisplaySettingsEx width=1024 height=768 > bpp=32 freq=50 (XRandR) > err:x11settings:X11DRV_ChangeDisplaySettingsEx No matching mode found

Dear all- I have a dataset (see a sample below - but the whole dataset is June 2005 - June 2008). The "LST" format is "YYMMDDHHmm" and I would like to get the hourly average of the "mph" for the summer months (spanning all years). I have been trying to use "aggregate" but am not having much success at all! any thoughts would be greatly appreciated.

Hi - I'd like to construct and plot the percents by year in a small data set (d) that has values between 1988 and 2007. I'd like to have a breakpoint (buy no discontinuity) at 1996. Is there a better way to do this than in the code below? > d year percent se 1 1988 30.6 0.32 2 1989 31.5 0.31 3 1990 30.9 0.30 4 1991 30.6 0.28 5 1992 29.3 0.25 6 1994 30.3

Hi I am trying to get Battlefield 2 and Battlefield 2142 to launch under Kubuntu 10.04 & Wine 1.3.6. I'm using an Nvidia 8800 GTX 768Mb GPU with Nvidia blob driver 260.19.12. Anyway launching BF2142 (retail copy, patched to v1.5) gives me the following error (2x) in the console output streams: Code: ... err:x11settings:X11DRV_ChangeDisplaySettingsEx No matching mode found 800x600x32

Dear Rusers, My question is about "recode variables". First, i'd like to say something about the idea of recoding: My dataset have three variables:type,soiltem and airtem,which means grass type, soil temperature and air temperature. As we all known, the change of air temperature is greater than soil temperature,so the values in those two different temperaturemay represent different

Hi, I am very new to R and I've been trying to work through the R book to gain a better idea of the code (which is also completely new to me). Initially I imputed my data from a text file and that seemed to work ok, but I'm trying to examine linear relationships between gdist and gair, gdist and gsub, m6dist and m6air, etc. This didn't work and I think it might have something to do

Hello; I am having a problems with the interpretation of models using ordered or unordered predictors. I am running models in lmer but I will try to give a simplified example data set using lm. Both in the example and in my real data set I use a predictor variable referring to 3 consecutive days of an experiment. It is a factor, and I thought it would be more correct to consider it ordered. Below

Estimados Al dirigir la lectura de un folder tYA1.csv me da este error y no me percato del motivo, adjunto archivo. Espero su ayuda Saludos Jos? > setwd("D:/Public/Documents/R/bioimpedancia") > a<-read.csv("tYA1.csv",header=TRUE, sep=",", dec=".") Error in read.table(file = file, header = header, sep = sep, quote = quote, : more

Hi everyone, I am trying to construct a glm and am running into a couple of questions. The data set I am using consists of 6 categories for the response and 6 independent predictors representing nutrient concentrations at sample point locations. Ultimately I'd like to use the probabilities for each response category in a simulation model such that these probabilities are used to define a

Hello, I'm new to R and have been following many guides including the two-way anova (http://www.personality-project.org/r/r.anova.html). Using that walkthrough including the supplied data I do str(data.ex2) and receive the appropriate types of data as follows: > str(data.ex2) 'data.frame': 16 obs. of 4 variables: $ Observation: int 1 2 3 4 5 6 7 8 9 10 ... $ Gender :

This is my a part of my data set > D[1:15,c(1,5:10)] X. media IE.2005 IE.2006 IE.2007 IE.2008 IE.2009 IE.2010 1 1108 22.00000 60.0 39 4.0 8.0 16.0 5.0 2 1479 110.00000 NA NA 53.0 1166.0 344.8 110.0 3 1591 86.60000 247.0 87 95.0 94.0 81.0 76.0 4 3408 807.00000 302.0 322 621.0 1071.0 1301.0 1225.0

How can I tell if this is normal behaviour? Oracle imports are horribly slow, an order of magnitude slower than on the same hardware with a slower disk array and Solaris 9. What I can look for to see where the problem lies? The server is 99% idle right now, with one database running. Each sample is about 5 seconds. I''ve tried setting kernel parameters despite the docs saying that

Hi all, I have this figure: http://docs.google.com/Doc?id=df5zfsj4_103rjt2v4d5 created with the following steps: > x [1] 90.4 57.8 77.0 103.7 55.4 217.5 68.1 85.3 152.0 113.0 97.1 89.9 [13] 68.1 83.7 77.4 34.5 104.9 170.3 88.6 88.1 108.8 77.4 85.6 82.7 [25] 81.3 108.0 49.5 71.0 85.7 99.3 203.5 275.9 51.1 84.8 16.5 72.6 [37] 160.5 158.3 136.7 140.0 98.4 116.1