search for: ages

Hello, from a software I have the following output in xml (see below): It is a series of matrices, for each age one. I have 3 categories (might vary in the application), hence, 3x3 matrices where each element gives the probability of transition from i to j. I would like read this data into R (preferably in a list, where each list element is one of the age specific matrices) and - after altering

Hi, All Does Xapian support query string like "(age: 1..25) OR (age: 35..50)"? or "(age: 1..25) - (age: 35..50)"? I?want?to?get?the?results?with?age?range?from?1?to?25, 35?to?50. I?tested,?"(age: 1..25) OR (age: 35..50)"? or "(age: 1..25) - (age: 35..50)" doesn't work. Thanks Best wish-Rafael Gu

Hi everyone ! Could you please help me with this problem ? I??ve trying to write a code that assign to a variable the content from another, but all I??ve got is a message error. For example: if (age <=10) {group == 1} else if (age > 10 & age <= 20) {group == 2} else {group == 3} Syntax error Or if (age <=10) {group == 1} else (age > 10 & age <= 20) {group == 2}

Hello, I want to create a new variable which includes 4 age categories in this way: if (age>=12 && age<32) age1==1 if (age>=32 && age<52) age1==2 if (age>=52 && age<72) age1==3 if (age>=72 && age<100) age1==4 but I get the results only for the first observation. how can I apply this condition to all observations? Thanks in advance,

Hi. I was wondering if anyone might have some suggestions about how I can overcome a problem of "iteration limit reached without convergence" when fitting a mixed effects model. In this study: Outcome is a measure of heart action Age is continuous (in weeks) Gender is Male or Female (0 or 1) Genotype is Wild type or knockout (0 or 1) Animal is the Animal ID as a factor

Dear fellow R-help members, I hope to seek your advice on how to parse/manage a dataset with hundreds of columns. Two examples of these columns, 'cancer.problems', and 'neuro.problems' are depicted below. Essentially, I need to parse this into a useful dataset, and unfortunately, I am not familiar with perl or any such language. data <- data.frame(id=c(1:10))

Hi - I'd like to have the area between 2 lines on a x-y plot be filled with grey, but I haven't had any luck using polygon or rect. (In reality, I'd like to do this for twice - once for a low group and once for a high group - and then I'd like to plot a set of data points for a 'normal' group together with these 2 grey areas.) Here's a simple example of the 2 lines:

I have a set of data that includes various data columns. One if the survival time and another if a continuous variable of ages. I want to put the ages into intervals so that I can then perform the Kalpan Meier test. I am trying to use the following code to build a column with the age group numbers in agecatagory<-c( ) for (i in 1:137) { { if(age[i]<=46) {agecat[i]<-1} if(age[i]>46 & age[i]<= 58) {ageca...

Consider the following example (based on an example in Pat Altham's GLM notes) pyears <- scan() 18793 52407 10673 43248 5710 28612 2585 12663 1462 5317 deaths <- scan() 2 32 12 104 28 206 28 186 31 102 Smoke <- gl(2,1,10,labels=c("No","Yes")) Age <- gl(5,2,10,labels=c("35-44","45-54","55-64","65-74","75-84"),

Well.... you might remember that I have had problems will my NFS fileserver that run ext3 with data=journal. The filesystem corruption now seems too be solved with the patch (plus amendment) that I posted, so I am happy about that... but there is more. I have known for a while that ext3 doesn't behave very well when the journal fills up. If it finds that the journal is full, and the

Hi, Imagine I have the following data frame: > a <- c(1,NA,3) > b <- c(2,NA,NA) > c <- data.frame(cbind(a,b)) > c a b 1 1 2 2 NA NA 3 3 NA I want to delete the second row. If I use na.omit, that would also affect the third row. I tried to use a loop and an ifelse clause with is.na to get R identify that row in which all records are missing, as opposed to the first

I'd like to get interaction terms in a model to be in another form. Namely, suppose I had variables age and group, the latter a factor with levels A, B, C, with age * group in the model. What I would like are the variables "age:group=A", "age:group=B" and "age:group=C" (and group itself of course). The coefficients of the model will then be the age effect

Thanks to some help by Doug Bates (and the updated version of the Matrix package), I've refined my question about fitting nested and non-nested factors in lmer(). I can get it to work in linear regression but it crashes in logistic regression. Here's my example: # set up the predictors n.age <- 4 n.edu <- 4 n.rep <- 100 n.state <- 50 n <- n.age*n.edu*n.rep age.id

...;- 10 mydf <- data.frame(yr=sample(1:10, size=n, replace=FALSE), age=sample(1:12, size=n, replace=FALSE), no=sample(1:10, size=n, replace=FALSE)) Now I would like to make a matrix with (in this simple example) 10 columns (for the years) and 12 rows (for the ages). In each cell, I would like to put the correct number of individuals. So far I was doing this as follows: mymatrix <- matrix(0, ncol=10, nrow=12) for (year in unique(mydf$yr)) { for (age in unique(mydf$age)) { if (length(mydf$no[mydf$yr==year & mydf$age==age]) > 0) { mymatr...

Hi I am trying to get a table of means of parameter 1 across BINS of parameter 2. I am working in proteomics and a sample of my data is as follows cluster-age clock-rate(evolutionary rate) scopclass 0.002 10 A 0.045 0.1 B 0.13 15 A 0.15 34 D .... .... ....

Dear WizaRds, Working through sampling theory, I tried to comprehend the concept of stratification and apply it with Survey to a small example. My question is more of theoretic nature, so I apologize if this does not fully fit this board's intention, but I have come to a complete stop in my efforts and need an expert to help me along. Please help: age<-matrix(c(rep(1,5), rep(2,3),

Hi all, I have some questions about the predicted HR in coxph function including psline covariate. If just fitting covariate as linear form, by default, the reference value for each of predictions type (linear predictor, risk and terms) is the mean covariate within strata. If the psline is specified for the covariate, what's the reference value for the predictions? I did some test code

Dear all, I've got a problem in including square variables in lme and lmlist functions. I've tried to work on Oxboys data of Pinheiro and Bates'book, which consist of the heights of 26 boys, each mesured on nine different occasions : > Oxboys Grouped Data: height ~ age | Subject Subject age height Occasion 1 1 -1.0000 140.50 1 2 1 -0.7479 143.40

...out lmList in lme4. Please see my session info and output below. Thanks for your help, Elizabeth > library(lme4) > data(Orthodont) > sessionInfo() R version 2.10.0 (2009-10-26) x86_64-apple-darwin9.8.0 locale: [1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] MEMSS_0.3-6 lme4_0.999375-32 Matrix_0.999375-31 lattice_0.17-26 loaded via a namespace (and not attached): [1] grid_2.10.0 tools_2.10.0 > fm1Orth.lis<-lmList(distance~age|Sub...

On 16 January 2016 at 19:15, ??? <shoutrain_goo at aliyun.com> wrote: > Hi, All > Does Xapian support query string like "(age: 1..25) OR (age: 35..50)"? or > "(age: 1..25) - (age: 35..50)"? > I want to get the results with age range from 1 to 25, 35 to 50. > > I tested, "(age: 1..25) OR (age: 35..50)"? or "(age: 1..25) - (age: >