similar to: Re gression using age and Duration of disease as a continous factors

Hello R gurus, I have a data set from which i have to extract the gender and age matched rows from controls and disease group disease<-paste(rep(c('y','n'),11)) gender<-paste(rep(c('m','f'),11)) mcp<-rnorm(700,1400) age<-rnorm(32,34) dat<-data.frame(disease=disease,sex=gender,Dr_age=age[1:22],MCP=mcp[1:22]) I have other categorical variables also to

i have a series of regressions i need to run where everything is the same except for the dependent variable, e.g.: lm(y1 ~ x1+x2+x3+x4+x5, data=data) lm(y2 ~ x1+x2+x3+x4+x5, data=data) lm(y3 ~ x1+x2+x3+x4+x5, data=data) is it possible to run all these regs with a single command? given that the bulk of the work for linear regressions is inverting a matrix that depends only on the independent

Hello In STATA there is command which has regression with clustering option. Can anyone tell me what is the command for the same in R for example in STATA its regress Height Weight, cluster(id) Thanks in Advance Regards Sunita -- View this message in context: http://www.nabble.com/Regression---cluster-option-in-STATA-tp25241948p25241948.html Sent from the R help mailing list archive at

Hi everyone! I'm new to R, and I'm stuck on a problem I don't know how to approach. I have calculated a regression in the form of M ~ D + O + S, and I would like to take this regression and test it with other samples, 5 at a time(5 meaning 5 set, each consisting M, D, O, and S of a specific date). I assume I'll need a for loop. Right now, My data of M, D, O, and S are all stored in

I would be grateful for advice about the following problem. It's not directly R-related, but I'm hoping that R will help me analyse the following data. I have a table which indicates the progression of a certain age-related disease. At a certain point in time, a population was sampled; and I have measurements for the age of each individual, and their disease stage. (Disease stage is an

Hi, I have a data set with two continous variables that I want to plot MEANS (I am not intrerested in median values) on a double-y graph. I also have 2 factors. I want the factor combinations plotted in different panes. Dummy dataset: mydata <- data.frame(factor1 = factor(rep(LETTERS[1:3], each = 40)), factor2 = factor(rep(c(1:4), each = 10)), y1 =

How to define bounds for a semi continous variable in lp_solve. Min 5x1 +9x2 +7.15x3 +0.1x4 subject to x1+x2+x3+x4=6.7 x1+x4 <= 6.5 And x3 can be 0 or greater than 3.6 hence x3 is a semi continous variable how to define bounds as well as semicontinous function because using set.semicont and set. bound simantaneously doesn't seem to work.Thanks in advance for the help -- View this

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Hello How can I select several not continuous rows ? If I wanted to select rows 1 to 7 I'll write mydata[,1:7] But what if I need to select rows 1 to 5 and 10 to 15? -- View this message in context: http://r.789695.n4.nabble.com/How-to-select-not-continous-rows-tp3003840p3003840.html Sent from the R help mailing list archive at Nabble.com.

Dear R Users, R Core Team, I have a two dimensional space where I measure a numerical value in two situations at different points. I have measured the change and I would like to test if there are areas in this 2D-space where there is a different amount of change (no change, increase, decrease). I don´t know if it´s better to analyse the data just with the coordinates or if its better to group them

Hello, my dataset is already aggregated: I have two categorical variables, say "continent" and "country" and one non-negative metric variable "population". Now I would like to produce a mosaic plot which uses "population" to determine how large each area of the plot is. In other words, I fail to find out - how to use the mosaic function of the vcd package

Hi All.. Am working on continous backup of mailboxes using rsync(for e.g by running rsync every 2 min) Things gets more complicated when users create Subfolders in INBOX , SENT , etc.. If anyone among you did that plz guide & advise. Thanks CoolAtt _________________________________________________________________ Your E-mail and More On-the-Go. Get Windows Live Hotmail Free.

Hello R-User! I appologise in advance if this should also go into statistics but I am presently puzzled. I have a data.frame (about 300 rows and about 80 variables) and my variables are dichotomous factors, continuous (numerical) and ordered factors. I would like to calculate the linear correlation between every pair of my variables, because I would like to perform a logistic regression (glm())

I was at a lecture the other day and I saw a presentation of very neat (short) animation modeling epidemic disease spread over a map region. When I ask what software they used they mentioned SAS. Do you know if there are equivalent resources in R to model the spread of disease with animation output? My search in R-help and google didn't lead to any document (though I found a couple of

https://bugs.freedesktop.org/show_bug.cgi?id=73563 Priority: medium Bug ID: 73563 Assignee: nouveau at lists.freedesktop.org Summary: Continous output of "nouveau E[ DRM] DDC responded, but no EDID for VGA-1" QA Contact: xorg-team at lists.x.org Severity: normal Classification: Unclassified

Hi can you please give guidance for generating future prediction values from existing heart disease data and we want to know the which type of models are using for generating the future prediction. can you please tell me how can i write the formula for future predictive values. can you see the following attachment and send me solution for that problem..... -- Thanks and Regards, Bala Chand

I'm trying to produce empirical bayes estimates based on the lognormal model in disease mapping Is there a way this can be done in R? thanks Oarabile

Hi guys I'm using Icecast , Ezstream for creating my Webtv for creating a continuos streaming of some files In the filename filed of Ezstream xml configuration i put a simple m3u playlist. My problems begin when ezstream begin to encode and stream the second file: If a use a system player , like Vlc or totem , the stream it's continous , if I use a web player like Cortado or Itheora

Hi guys I'm using Icecast , Ezstream for creating my Webtv for creating a continuos streaming of some files In the filename filed of Ezstream xml configuration i put a simple m3u playlist. My problems begin when ezstream begin to encode and stream the second file: If a use a system player , like Vlc or totem , the stream it's continous , if I use a web player like Cortado or Itheora

I have a large dataset grouped by a factor and I want to perform a regression on each data subset based on this factor. There are many ways to do this, posted here and elsewhere. I have tried several. However I found one method posted on the R wiki which works exactly as I want, and I like the elegance and simplicity of the solution, but I don't understand how it works. Its all in the formula