similar to: how to find maximum for multivariable data

Dear R Users, I have a question based on my research. I am analyzing reader-based diagnostic data set. My study involves diabetic patients who were evaluated for treatable diabetic retinopathy based on the presence or absence of two pathologies in their eyes. Pathologies were identified using the clinical examination (Gold standard method). In addition it can be identified by taking digital

Hello I would like to delete some values at random in a data frame. Does anyone know how I could do? With best regards Caroline

dear R users, I need some help for multivariate analysis. I have 2 anaesthetic treatment groups (20 patients/group) where I register heart frequency and pressure for 60 min (repeated measures every 5 minutes). I would like to perform a test to check if treatments are different in controlling freq and pressures during the anaesthesia, but i would like to have also an overall measure and not

Hello there: Dear Dr. Murdoch, I'm a statistician at Princess Margaret Hospital. Could you please help me with the bootstrapping? Can boot function (along with boot.ci) handle multivariate statistics? My intention is that I want to group the outcome data and evaluate the proportion of patients who are positive for a marker within each group. (i.e. I have two variables, a predictor and

Dear R-experts, I need to replace in an expression the character "Cl" by "Cl+beta" But in the following case: form<-expression((Cl-(V *ka) ) +(V *Vm *exp(-(Clm/Vm) *t))) gsub("Cl","(Cl+beta)",as.character(form)) We obtain: [1] "((Cl+beta) - (V * ka)) + (V * Vm * exp(-((Cl+beta)m/Vm) * t))" the character "Clm" has been

Dear all, I've come across a problem using strptime, can anyone explain what's going on? I'm using version 2.7.0 on Windows XP. Thank you Caroline First read in a data file using read.table alldata = read.table(file, header=F, skip=4, colClasses = c("character","numeric")) dim(alldata) [1] 223960 2 # inefficient, safe way of sorting out missing or dodgy

This code worked fine for me, then did some cleaning up of formatting using ESS (Emacs) and now I get this error, no idea what is causing it, all the brackets/parentheses seem to be balanced. What have I done wrong? Thanks Jim p0.trial01 <- 0.25 TruOR01 <- 0.80 num.patients.01 <- 50 num.trials.01 <- 5 LOR01.het.in <- 0.00 num.sims <- 1 simLOR01 <-

Solr 7 returns JSON by default but fts_solr requires XML. Would be good to have wt=xml added to the query to force it to xml all the time, this would prevent errors if solr has not had xml set as default for index. Dovecot 2.2.36 Centos 6 *Doveadm Request:* doveadm search -u caroline at covermg.com TEXT smith doveadm(caroline at covermg.com): Error: fts_solr: Invalid XML input at 1:0: not

Hello, I need to subset my data to only look at the parts that have "holes" in it. I already have a formula to get rid of inconsistencies, but now I need to look only at the problem data to reconfigure it. In my data set where there are multiple "cycles" per "patient," and I want to highlight the patients who have a variable was not measured every cycle. Here's a

Hi, I'm not used to thinking along these lines, and wanted to ask your advice: Suppose you have a sample of around 100, consisting of patients according to doctors, in which patients and doctors are given a questionnaire with categorical responses. Each patient somehow has roughly 3 doctors, or 3 rows of data. The goal is to assess by category of each question or DV the agreement between

Hello there, I’m computing the total value of an order from the price of the order items using a “for” loop and the “ifelse” function. I do this on a large dataframe (close to 1m lines). The computation of this function is painfully slow: in 1min only about 90 rows are calculated. The computation time taken for a given number of rows increases with the size of the dataset, see the example with

Dear all, My question might be more of a statistics question than a question on R, although it's on how to apply the 'quantreg' package. Please accept my apologies if you believe I am strongly misusing this list. To be very brief, the problem is that I have data on only a random draw, not all of doctors' patients. I am interested in the, say, median number of patients of

Full_Name: Caroline Keef Version: 2.6.1 OS: Windows XP Submission from: (NULL) (195.171.203.131) I have tried to install the package rggobi which if I'm right requires the package RGtk2 If I install RGtk2 using the install.packages (I used the UK (Bristol) mirror, I haven't tried any other mirror) within R and then use library(RGtk2) I get the following message box "This

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

For an Xray file system patients have folders and folders have studies. That is: patients folders studies id id id name patient_id folder_id ... label type ... ... The list of studies with their associated folder and patient might look like this: name folder_label study_type

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, I need to do some multivariable linear regression from RoR. I have found one possible solution: 1. Install R on my host (Dreamhost) 2. Use the "R for Ruby" gem Using a complex statistical package such as R seems a bit complicated however, and I am wondering if you would have a simpler solution ? The data is gathered online from the user, stored in the mySQL database, and I need

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 everyone, I have a data set that contains characteristics of 25,000 patients of 92 different hospitals. I have run a regression to capture the probability these patients will have a complication after a certain operation. Now, I actually want to predict the probability per patient, using the outcome of the regression, but I just certain patients involved in the prediction. So, I want to use

The majority of the functionality present in the gstat stand-alone program (http://www.gstat.org/) is now available as a package/library for the S language (R, S-Plus), again called gstat. The package provides multivariable geostatistical modelling, prediction and simulation, as well as several visualisation functions. Gstat was started 10 years ago and was released under the GPL in 1996; the