search for: jahans

Hello, Here is the data set I am working with: dat=read.csv('http://dl.dropbox.com/u/1852742/relexpressions.csv') names(dat) #Under the 'target' column, I want to change all of the values into all capital letters (e.g. fgf2 becomes FGF2). I have taken a loop approach but I think my Python background is confusing me. Here is what I attempted: for(line in

I have a statistical question. The data sets I am working with are right-skewed so I have been plotting the log transformations of my data. I am using a Grubbs Test to detect outliers in the data, but I get different outcomes depending on whether I run the test on the original data or the log(data). Here is one of the problematic sets: fgf2p50=c(1.563,2.161,2.529,2.726,2.442,5.047)

I believe you should have your domain name prepended to windows username, such as: root "DOMAIN\administrator" HTH Mike On 03-Jan-2006 12:52:56 CET, JKetabchy@swd-ag.de <JKetabchy@swd-ag.de> wrote: > > > > > > > Hello! > > I try to map users from Domain to a unix system with user map. > I have joined the Domain with net join. > i have a user

Hello, I'm working on a Cox Proportional Hazards model for a cancer data set that has missing values for the categorical variable "Grade" in less than 10% of the observations. I'm not a statistician, but based on my readings of Frank Harrell's book it seems to be a candidate for using multiple imputation technique(s). I understand the concepts behind imputation, but using

Hello all, I am a medical student and as a capstone for my summer research project I am going to create a simple online web "calculator" for users to input their relevant data, and a probability of relapse within 5 years will be computed and returned based on the Cox PH model I have developed. The issue I'm having is finding a definitive method/function to feed the user's

Here is an example of how to do it. > library(survival) > vfit <- coxph(Surv(time, status) ~ celltype + trt, data=veteran) > userinput <- data.frame(celltype="smallcell", trt = 1) > usercurve <- survfit(vfit, newdata=userinput) #the entire predicted survival curve > user2 <- summary(usercurve, time= 2*365.25) # 2 year time point > user2$surv [1]

...n of powerful analysis techniques and algorithms for mining and interpreting biological information. Discounted Price: $71.96 / £46.39 For more details and to order: http://www.crcpress.com/product/isbn/9781439809754 **** An R Companion to Linear Statistical Models Christopher Hay-Jahans ISBN: 9781439873656 Publication Date: October 2011 Number of Pages: 372 Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: Those who are familiar with the theory and applications of linear statistical models and wish to learn or en...

Buenos días, *Muchas gracias, todas las aportaciones han sido bien útiles.* Las he tenido en cuenta y he pasado los datos con el R, siguiendo el siguiente comando: *modeloRTUN2<-lm(AVE.~ Tariff + d1 + d2 + d3 + d4 + d5 + d6 + d7 + d8 + d9+ d10 + d11+ d12+ d13+ d14+ d15+ d16+ d17+ d18+ d19+ d20 +d21 + Tariff*d1 + Tariff*d2 + Tariff*d10)* *summary(modeloRTUN2)* Siendo: AVE. = Variable

Hello Everyone, I am a MS students in the Department of Statistics, Biostatistics & Informatics, in University of Dhaka, Bangladesh. Recently, I am doing thesis on "D-optimal Designs for Regression models in Biostatistics". In my thesis work, I am having problem with a particular program where I need to replace each element of a vector one by one by every element of another seq