similar to: Comparison of demographics between 2 study samples

Hello, I am trying to do a logistic regression and have one predictor variable (x) that is ratio and two predictor variables (y and z) that are categorical. These have three levels each which I have called "High", "Medium" and "Low". My question: do I need to use a numerical coding scheme for the categorical variables as required by some statistical software

Please turn off troll detectors. Especially those with big automatic hammers. http://thecloudmarket.com/stats#/by_platform_definition Anybody 'extra' bandwidth from the 'Cloud'? Ubuntu installations currently trumps the combined numbers of Centos, Fedora and RHEL (not that using Centos/Fedora/RHEL guarantees secure installations) installations and I just wondered on that

Dear all, I have a data.frame that includes a series of demographic variables for a set of respondents plus a dependent variable (Theta). For example: Age Education Marital Familysize Income Housing Theta 1: 50 Associate degree Divorced 4 70K+ Owned with mortgage 9.147777 2: 65

Hi all, I am using aidsEst( ) in "micEconAids" package to estimate Demand system. But I would like to add more demographic variables in demand system. How can I add those information? for example: mydata<-data.frame(p1,p2,p3,p4, s1,s2,s3,s4, totalexp,

Dear R users, I am trying to convert a dataset from one format to several rectangular datasets. A consultant helped design the data entry program for our survey using Delphi/Pascal and for each household the information is stored in a file called "EA-HM-HH.TXT" where EA is the enumeration area number, HM is the homestead number and HH is the household number. Within this file the

Hello All, Need to coalesce some columns using R. Looked online to see how this is done. One approach appears to be to use ifelse. Also uncovered a coalesce function in the BBmisc, emoa, and microbenchmark packages. Trouble is I can't seem to get it to work in any of these packages. Or perhaps I misunderstand what it's intended to do. The documentation is generally pretty scant. Working

Hi there, I have subscribed to R-help but am not sure how to view or post questions? I think this is the right way. I am planning on doing a multivariate regression investigating the relationship between depression (a continuous variable) and social support variables (mostly continuous, some categorical) among older people. I have a number of demographic and health-related variables that I am

I am a relatively new R user and have recently built a multivariate dataset without the demographic information. Is there any package or code to simulate subgroup dataset (race, sex, age) using R? Any help would be appreciated. Thanks, Alok [[alternative HTML version deleted]]

I am working on an app with a requirement that has yielded an unexpected problem for Rails routing. We have several controllers that handle regional data (one controller per data type - weather, demographics, etc). The problem is that there is one region who''s actions and output are different. We intend to create two controllers for each data type (i.e. weather_controller to handle

Dear R-helpers, I’m writing for advice on whether I should use R or a different package or language. I’ve looked through the R-help archives, some manuals, and some other sites as well, and I haven’t done too well finding relevant info, hence my question here. I’m working with hierarchical data (in SPSS lingo). That is, for each case (person) I read in three types of (medical) record: 1.

I am sure there is a simple way to do the following, but i haven't been able to find it. I am hoping a merciful soul on R-help could point me in the right direction. I am doing a factor analysis on survey data with missing values. to do this, I run: FA1<-factanal(na.omit(DATA), factors = X, rotation = 'oblimin', scores = 'regression') Now that I have my factors and

I hope this question is sufficiently different from the other requests for book recommendations that it's not repetitious. If not, I apologize in advance. I'm curious what standard reference books working statisticians, or biostatisticians, have within easy reach of their desk. I'm a computer systems administrator, and have a two-foot bookshelf directory under my monitor that contains

Hi everyone Can anyone help? x = c("Treatment", "Planned", "Actual", "Demographics", "Outcomes") for (i in x) { df <- paste(i)[, c("Reference_ID", "Arm_ID")] unique(df) -> uniq as.data.frame(table(uniq$Reference_ID)) -> y i.Arms<- paste(y$Var1, y$Freq, sep="_") Print_Message("Check for the Total No of

Hi all, I got curious about something, so in proper scientific fashion I obtained some data and analyzed it. Question: what is the female participation in the R-help email list? Data: the most recent list postings, obtained from the website. I took my best shot at classifying the names given in the email header as male/female, but ended with a fair number of unknowns. This dataset had 2797

Dear all users, I"d like to ask you how to make decision about colinearity among categorical independent variables when the model is multinomial logistic regression. Any help is appreciated, Niklas [[alternative HTML version deleted]]

Hi all, I'm using RODBC library to connect to a database. I'm trying to read a table from a database and after manipulating it would like to write to the same database but with a different table P<-data.frame(sqlQuery(myconn,'select? *? from Demographics')) sqlSave(myconn,p,tablename="trial",rownames=FALSE) I'm gettng this error Version:1.0

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, all. I am working on a project with a large (~350Mb, about 5800 rows) insurance claims dataset. It was supplied in a tilde(~)-delimited format. I imported it into a data frame in R by setting memory.limit to maximum (4Gb) for my computer and using read.table. The resulting data frame had 10 bad rows. The errors appear due to read.table missing delimiter characters, with multiple data

I am working on a rails app to serve as the admin app for an existing java webapp. For this reason, I am constrained by the current database structure, which does not by any means conform to the ideal rails defaults. Anyway, I have the following models: class Provider... belongs_to: login class Login... has_and_belongs_to_many :demographics class Demograpics... ... Everyone has a

Dear R-Helpers, I have a matrix where the first column is known. The second column is the result of multiplying this first column with a constant "const". The third column is the result of multiplying the second column with "const"..... So far, I did it like this (as a simplified example): nr.of.columns <- 4 myconstant <- 27.5 mymatrix <- matrix(numeric(0), nrow=5,