similar to: displaying results

Hello. I have a vector and within that vector is one expression. When I display this vector it comes up as expression(NA_character_, NA_character_, "Null Effect", "Pooled effect", NA_character_, NA_character_, NA_character_, NA_character_, NA_character_, paste("Het Contours ", I^2, sep = ""), 0.4, 0.41, 0.42, 0.45, NA_character_) Where the

dlogl <- -(n/theta)-sum((y/(theta)^2)*((1-exp(y/theta))/(1+exp(y/theta))) d2logl <- (n/theta^2) - sum((-2y/theta^3)*(1-exp(y/theta))/(1+exp(y/theta))) - sum(((2*y/theta^4)*exp(y/theta))/((1+exp(y/theta))^2)) returns the error message: Error: unexpected symbol in: "dlogl <- -(n/theta)-sum((y/(theta)^2)*((1-exp(y/theta))/(1+exp(y/theta))) d2logl" do you know what i have done

Hello all! I am once again analyzing patient survival data with chronic liver disease. The severity of the liver disease is given by a number which is continuously variable. I have referred to this number as "meld"--model for end stage liver disease--which is the result of a mathematical calculation on underlying laboratory values. So, for example, I can generate a Kaplan-Meier plot

I am trying to determine how to display a list returned from a Rails find(:include => [:children]). I am using the following (which works in the console): @patients = Account.find(session[:account_id]).patients.find(:all, :include => [:patient_details]) How can I address the patient_details to display them in the view? The console even shows a @patient_details instance variable

Dear R people Could you please help. Basically, there are two variables in my data set. Each patient ('id') may have one or more diseases ('diagnosis'). It looks like id diagnosis 1 ah 2 ah 2 ihd 2 im 3 ah 3 stroke 4 ah 4 ihd 4 angina 5 ihd .............. Q: How to make three data sets: 1. Patients with ah and ihd 2. Patients with ah but no ihd 3. Patients with ihd but no

Hello, I'am trying to efi-netboot a HP ProLiant DL120 Gen9[1], that has multiple NICs, one embedded 2-port and an extra 4-port, so I got to the HP/EFI/multinic problem. I read through the multinic mailthreads and using current master[2], it booted successfully to syslinux but then another problem manifested: Syslinux for some reason asks the gateway and not next-server about ldlinux.e64 (I

May I ask a clinical question? For a trial, we have a treatment group of small size, say 30 patients. We want to selectmatching control patients from a bigger group (100 patients) in terms of several clinical variables, such as age, tumor stage etc. This practice is to select the closest matching set of control cases. I wonder if R has any routine or package that can help with this problem.

Hi All, I have a file with two columns, the first column has the names of the patients and the second column has the age. I am looking into creating an output file that looks like 1-10 10-20 etc Eric Chris Bob mat Andrew Suzan Where each column has the name of the patients in a given age category that is displayed in the header. For example in the output, the first

Hi, Has anyone been able to figure out how to print all duplicated observations? I have a dataset, with patients ID, and other lab records. Some patients have multiple lab records, but 'duplicated' ID will only show me the duplicates, not the original observation. How can I print both the original one and the duplicates? Thanks

Hi R-users, I'm new to R and I'm trying to make a barplot combined with two lines (refering to secondary y-axis). Bars should represent the number of transfused patients by age class and sex and lines should represent the amount of blood units given in age classes. I have now successfully made a barplot and used par(new=TRUE) to plot another empty graph at the top of the barplot.

Dear useRs, Am trying to use xtable on the following data.frame and I don't get what I expect: example.table <- data.frame(rbind( c("Gender"," "," "," "), cbind(rep(" ",2),c("Male","Female"),c(3.0,4.0),c(3/7,4/7)) )) colnames(example.table) <- c(" "," ","number of

Hi Dear R-users I have a database with 18000 observations and 20 variables. I am running cox regression on five variables and trying to use survfit to plot the survival based on a specific variable without success. Lets say I have the following coxph: >library(survival) >fit <- coxph(Surv(futime, fustat) ~ age + rx, data = ovarian) >fit what I am trying to do is plot a survival

Hi All, I have about one hundred patients and all the patients had their glucose measured on three different days. The days are all the same for all he patients. So I have three measurement for each patient . I want to know whether the day when the glucose was measured has an effect on the measurements. I was thinking to use a single factor analysis of variance but I am not sure how to do it in

Hi, I have what I believe is a repeated-measures dataset that I'm trying to analyze using lme(). This is *not* homework, but an exercise in my trying to self-teach myself repeated-measure ANOVA for other *real* datasets that I have and that are extremely similar to the following design. I'm fairly sure the dataset described below would work with lme() -- but it'd be great if anybody

Excuse me. I don't understant how to use the function "stack". I'm not sure to know the good syntax. I've got a data witch column names are the time when the mesures was done and an other who indicates the age of the subjetcs. I would like to do a new matrix with patients older than a value and the new matrix will contain in the first column the time of the mesures and in

I would like to reformat this data frame into something that I can produce some descriptive statistics. I have been playing around with the reshape package and maybe this is not the best way to proceed. I would like to use RiverMile and constituent as the grouping variables to get the summary statistics: 198a 198b mean mean sd sd ... ... etc. for all of these. I have tried

Hi, set.seed(45) test1<-data.frame(columnA=rnorm(7,45),columnB=rnorm(7,10)) #used an example probably similar to your actual data apply(test1,2,function(x) sprintf("%.1f",median(x))) #columnA columnB # "44.5"? "10.2" par(mfrow=c(1,2)) lapply(test1,function(x) {b<-

Dear All, I am contemplating centering the covariates in my Cox model to reduce multicollinearity between the predictors and the interaction term and to render a more meaningful interpretation of the regression coefficient. Suppose I have two indicator variables, x1 and x2 which represent age categories (x1 is patients less than 16 while x2 is for patients older than 65). If I use the following

hi everyone, wondering if you could help me with a novice problem. I have a data frame called subjects with a height and weight variable and want to calculate a bmi variable from the two. i have tried: attach(subjects) bmi <- (weight)/((height/100)^2) but it comes up with the error: Warning messages: 1: In Ops.factor(height, 100) : / not meaningful for factors 2: In Ops.factor((weight),

I am trying to create a web app that allows me to invoke a command on another server via an SSH session. I am currently doing this as follows: 1) User is presented with a form to enter server, command, username and password. 2) User clicks "Run" and form is submitted to the "run_command" action. 3) The "run_command" action initiates an SSH session using net-ssh