search for: age

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 the values in...

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} else {group == 3} Syntax error I know that is possible to find the solutio...

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...

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 Gender.Age is Gender*Age Genotype.Age is Genotype*Age Gender.Genotype.Age is Gender*Genotype*Age If I have the intercept (but not the slope) as a rando...

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:...

...ad 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: age=1:10 y.low=rnorm(length(age),150,25)+10*age y.high=rnorm(length(age),250,25)+10*age plot(age,y.high,type='n',ylim=c(100,400),ylab='Y Range',xlab='Age (years)') lines(age,y.low,col='grey') lines(age,y.high,col='grey') Is it possible to fill the area between t...

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) {agec...

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"), ordered=TRUE) mod1.glm <- glm(deaths ~ Age * Smoke + offset(l),family=poisson) summary(mod1.glm) age <- as.numeric(Age) mod2.glm <- aso1.glm <- glm(deaths ~ p...

...calculations suggest that the journal on one of these machines would take 10 minutes to fill under a very high (but realistic) load. Under normal load I would expect longer. This seems to suggest that there are dirty buffers lying around that are more than 10 minutes old. Given that bdf_prm.b_un.age_buffer is the default 3000, or 30 seconds, this seems like a problem. I have resolved the problem for now by running "sync" every minute which seems to work, but is hardly elegant. I'm not in a position at the moment to spend time testing whether the inefficacy of bdflush is ext3 sp...

...missing, as opposed to the first row in which no records are missing or the third one, in which only one record is missing. How can I get R identify the row in which all records are missing? Or, how can I get R delete/omit only this row? Thanks in advance, José José Iparraguirre Chief Economist Age UK T 020 303 31482 E Jose.Iparraguirre@ageuk.org.uk<mailto:Jose.Iparraguirre@ageuk.org.uk> Tavis House, 1- 6 Tavistock Square London, WC1H 9NB www.ageuk.org.uk<http://www.ageuk.org.uk> | ageukblog.org.uk<http://ageukblog.org.uk/> | @AgeUKPA<http://twitter.com/ageukpa> Ag...

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 in group...

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.ed...

Dear all, given I have data in a data.frame which indicate the number of people in a specific year at a specific age: n <- 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 (...

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 .... .... .... .... Scop class has only 9 distinct categories (A-I) Wher...

...omprehend 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), 1:8, rep(3,5), rep(4,3), rep(5,5), rep(3,3), rep(15,5), rep(12,3), 23,25,27,21,22, 33,27,29), ncol=6, byrow=F) colnames(age)<-c("stratum", "id", "weight", "nh", "Nh", "y") age<-as.data.frame(age) ##...

...ference 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 below: ### par(mfrow = c(1,3)) test = coxph(Surv(time, status) ~ age, cancer) test2 = coxph(Surv(time, status) ~ pspline(age, df=2), cancer) test3 = coxph(Surv(time, status) ~ pspline(age, df=5), cancer) pptest3=predict(test3, type="lp") pptest2= predict(test2, type="lp") pptest = predict(test, type="lp") plot(cancer$age, exp(pptest)) a...

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 2 3 1 -0.4630 144.80 3 4 1 -0.1643 147.10 4 5 1 -0.0027 147.70 5 ... A quadratic model in "age" would be fit with lmList (heigh...

Hello, I am trying to use lmLists in the lme4 package and copying over very standard code from the nlme package given in 'Mixed-Effects Models in S and S-Plus'. It appears to not accept an 'I(age-11)' in the formula, though it will accept the formula with out the subtraction of 11 from age. This seems like it would be a bug, since...

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: > 35..50)" doesn't work. > Thanks >...