search for: studis

Hi, I am having trouble trying to figure out why if_else is behaving the way it is, it may be my code or the way the data is structured. Below is a snapshot of a database am working on and it represents a longitudinal survey of study participants in a trial with weekly follow up. The variable "survey_start" represents the start of the study-defined one year follow up (which we called

I don't fully understand the logic you are trying to implement, but something along the lines of foo <- cut(trialData$date, breaks = as.Date(c("2007-01-01", "2008-05-01", "2009-04-01", "2010-05-01",

That many ifelse statements is obviously rather a pain. Would you not have got what you want with ... paste("survey", year, sep="_") ? If that is not what you're looking for (eg because 'year' is the observation year and not the study start year), perhaps something that picks the minimum year for a subject or other relevant group might work? For example

My small brain is having trouble getting to grips with lme() I wonder if anyone can help me correctly set the random = argument to lme() for this kind of setup with (I think) 9 variance/covariance components ... Study.1 Study.2 ... Study.10 Treatment.A: subject: 1 2 3 4 5 6 etc. 28 29 30 Treatment.B: subject: 31

Hi all, I want to create two groups of random numbers to calculate proportions. The first group is to represent the number of cases in a study. The second group is to represent the sample size of the study. Apparently, the sample size is going to have to be bigger or equal to the number of cases, but the sample size of a study is not necessarily greater than the number of cases of another study.

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

Hi Kevin, I ran the code on the full data set and was able to reproduce the problem that you are facing. My guess is that you have an error in your intuition and/or logic, and that this relates to the use of the subscript [1]. Specifically, on the full dataset, the condition trialData$date[trialData$survey_start == "Y" & trialData$year == 2013 & trialData$site ==

R gurus, I have a data set that looks something like this: Site Species DBH #Vines G PLOC 45.9 4 G ACNE 23.3 1 G ACNE 12.0 0 G FRAM 35.9 5 G AEGL 11.2 2 N PLOC 77.3 12 N JUNI 78.6 7 N ACNE 18.9 1 N ACNE 15.7 3 N ACRU 35.5 4 H ACSA2 24.1 6 H ULAM 35.2 7 There are 730 individual trees (22 species) from four sites in the actual data set. I would like to create a second data frame that

...bind on the member. So every user and group has a uid and gid. I can login at the member server, but when I try to access a shared folder it failed with permission denied. Here is the output, I hope this helps to understand the problem: root at client9:/home/testsamba# mount -vt cifs //server1/studis /data/studis -o user=klaus,sec=krb5 mount.cifs kernel mount options: ip=192.168.170.1,unc=\\server1\studis,sec=krb5,user=klaus,pass=******** root at client9:/home/testsamba# getfacl /data/studis/ getfacl: Entferne f?hrende '/' von absoluten Pfadnamen # file: data/studis/ # owner: root # g...

Hello. A quick question about incorporating variation due to study in the metafor package. I'm working with a particular data set for meta-analysis where some studies have multiple measurements. Others do not. So, let's say the effect I'm looking at is response to two different kinds of drug treatment - let's call their effect sizes T1 and T2. Some studies have multiple

Hello R people, I am looking to pay someone to help write some R code. Inputs: Study identifier: ID Number for the study, each ID number is for one study only each block set should only be used for that study. This will require that you store the results from the blocks someplace on the file system. Trait #1: dichotomous rural / urban Trait #2: dichotomous sick / healthy Assignment Ratio:

Would like to run PC Study Bible ver. 2 from BibleSoft on Linux. Research has led me to WINE. I am new to Linux, have Mandriva 2009 installed. I just DL'ed WINE for Mandriva 2009, and got it going. I tried to install PC Study bible from CD, no dice. I then copied the entire contents of PC Study Bible folder from a windows computer to flash drive and copied it to Linux computer. Still

...has a uid and gid. I >> can login at the member server, but when I try to access a shared >> folder it failed with permission denied. Here is the output, I hope >> this helps to understand the problem: >> >> root at client9:/home/testsamba# mount -vt cifs //server1/studis >> /data/studis -o user=klaus,sec=krb5 >> mount.cifs kernel mount options: >> ip=192.168.170.1,unc=\\server1\studis,sec=krb5,user=klaus,pass=******** >> root at client9:/home/testsamba# getfacl /data/studis/ >> getfacl: Entferne f?hrende '/' von absoluten Pfa...

I am trying to develop a prognostic model using logistic regression. I built a full , approximate models with the use of penalization - design package. Also, I tried Chi-square criteria, step-down techniques. Used BS for model validation. The main purpose is to develop a predictive model for future patient population. One of the strong predictor pertains to the study design and would not

Dear All: I have a clinical study where I would like to compare the demographic information for 2 samples in a study. The demographics include both categorical and continuous variables. I would like to be able to say whether the demographics are significantly different or not. The majority of papers that I have read use multiple techniques to achieve this (e.g., t-test for the continuous

Dear all, I want to do a logistic regression. So far I've only found out how, in a dataset of complete cases. I'd like to do logistic regression via max likelihood, using all the study cases (complete and incomplete). Can you help? I'm using glm() with family=binomial(logit). If any covariate in a study case is missing then the study case is dropped, i.e. it is doing a complete case

Hello, Dr. Viechtbauer. I am trying to perform a meta-analyis on a group of before-after studies using Metafor. I read your webpage including your correspondence with Dr. Dewey (https://stat.ethz.ch/pipermail/r-help/2012-April/308946.html), who also conducted a similar study. These information is very hepful, but I have one additonal question which I wonder if you can give me some instruction.

Hello, R-fellows, I have a question that I really don't know how to solve. I have spent hours on line surfing for possible solutions but in veil. Please if anyone could help me handle this issue, you would be so appreciated! I have a "grouped" dataset like this: > data Study TX AEs N 1 1 1 3 5 2 1 0 2 7 3 2 1 1 10 4 2

Hello R user, I have a data set from a longitudinal study ( sample below) where subjects are followed over time. Second column (status) contains info about if subject is dead or still in the study and third column is time measured in the week. Here is what I need: if status is not dead or unknown take the last week, if status is dead or unknown I need to have corresponding week. Desired resulst:

i want to study R programming by studying the existing code from R itself,but i don't know how to read the code,can any one give me some guide? my R is installed in /usr/lib/R/ [ronggui at mylinux ronggui]$ /usr/lib/R/ afm bin doc etc include library modules share > version _ platform i586-mandrake-linux-gnu arch i586 os linux-gnu system i586,