similar to: how to find maximum for multivariable data

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

Hello, I didn't give enough information when I sent an query before, so I'm trying again with a more detailed explanation: In this data set, each patient has a different number of measured variables (they represent tumors, so some people had 2 tumors, some had 5, etc). The problem I have is that often in later cycles for a patient, tumors that were originally measured are now missing (or

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

I'm attempting to change a data set by compressing rows into columns. Currently there are several rows that all have information about one "patient," but at different cycles. I'm trying to make each patient only have one row in the data set. Does anyone know a good way to combine data sets by factor level? I've separated the groups into different subsets by cycle, but not

Hello, I have a data set where there are multiple "cycles" per "patient," and I want to exclude from my data set instances where a variable was not measured every cycle. The difficulty is that the patients have different cycles; some have cycles 1,2, and 3, others only have 1 and 3 (and everything in between). Therefore, I'm having difficulty in in distinguishing between

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 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 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

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

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

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

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.

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

I'm working with a nested model (mixed). I have four factors: Patients, Tissue, sex, and tissue_stage. Totally I have 10 patients, for each patient, there are 2 tissues (Cancer vs. Normal). I think Tissue and sex are fixed. Patient is nested in sex,Tissue is nested in patient, and tissue_stage is nested in Tissue. I tried aov and lme as the following, > aov(gene ~ tissue + gender +

1. You should always cc the list unless there is a clear reason not to. 2. You still have failed to follow the posting guide: You say you have difficulty troubleshooting your code, but you have shown us no code. You got an error message that seems explicit, but with neither code nor data, I do not know whether anyone can make sense of it. In any case, I certainly cannot. Cheers, Bert Bert