similar to: constraining correlations

Hello, I am trying to plot age distribution data for a certain condition that runs in families. Below is a simplified view of the dataset, i.e. in this case there are four families, each line corresponding to one individual with age at diagnosis and sex. > famdata family age sex 1 fam1 2.1 f 2 fam1 2.3 f 3 fam1 1.0 m 4 fam2 7.3 f 5 fam2 4.1 f 6 fam2 1.2 f 7

Hello, I would like to plot specific SNPs with their exact locations on a chromosome. Based on my genotyping results I would like to separate these SNPs in three different categories: 1, 2 and 3 and use different colours to represent these categories. The script below generates the sample data. I can plot these with the image function using the following: val <- 1:3 samp <- sample(val,

Hi Everyone, I am stack between two identical systems (2U Twin2, 4 nodes, SuperMicro) servers that have the same exact specs except for HDDs. These nodes will all either have Asterisk installed with CentOS or will have Asterisk install in virtual environment. Option 1: *12* x 3.5" HDD (3 HDDs per node) Option 2: *24* x 2.5" HDD (6 HDDs per node) **both options come to the same price.

HI I use glm in R to do logistic regression. and treat both response and predictor as factor In my first try: ******************************************************************************* Call: glm(formula = as.factor(diagnostic) ~ as.factor(7161521) + as.factor(2281517), family = binomial()) Deviance Residuals: Min 1Q Median 3Q Max -1.5370 -1.0431 -0.9416 1.3065 1.4331 Coefficients:

I've recently moved from pxegrub to pxelinux (well, syslinux...) for many benefits. (memory fingerprint, etc) Its running perfectly, and exactly how I like it, except. LOCALBOOT 0 DOES NOT actually mount and boot the hard drive. All it seems to be doing is actually return error to the BIOS, which then boots the next device in it's list. This isnt a problem on most systems, but on

Hello all. I''m trying to figure out vastSky on xcp1.0 beta. As we all know, it has been integrated to the xcp. That''s just about all one can find about the matter. Been trying to google a lot, but with no luck. I''ll write here what information I''ve gathered, what I tried and how far I managed to get with this. I include information about my hardware, in case it

Hi, everyone. I have some questions about quantile regression in R. I am running an additive quantile regression first for a complete matrix and then with some selected rows. I am doing the following: datos <-read.table("Regresion multiple.txt",header=T) Fit<-rqss(datos$campings ~datos$Cobarbogrupo+datos$CobSDgrupo+datos$Areadecultivosgrupo, tau=0.9) summary.rq(Fit) #The