search for: agegroups

Dear Members, Greetings! I have come across a discrepancy shown by R and SAS results on same data for logistics regression.. When I processed the above csv file(1000.csv) for predicting the Action (i/c) by Age Group(1-7,Na) and Gender(M,F,Na) with GLM of R I get: R result Call: glm(formula = Action ~ Gender + AgeGroup, family = binomial, data = mydata1, na.action = na.pass) Deviance

Any thoughts on the following I'd be most grateful - I'm sure there is an easy and quick way to do this but I'm having a mental block this evening. Essentially, I'm trying to replace missing data in my dataset with reference values based on age and sex. So an example dataset is set.seed(1) X = data.frame(age=rnorm(10, 50, 10), sex=rbinom(10, 1, 0.5), A=rnorm(10), B=rnorm(10))

With R 1.8.1 running in Fedora Core 1 Linux, I am having some trouble recoding and ploting some factor variables. First, can I give you some example data? Here is a column of names for age groups: agegroups <- c( "15-19", "20-24", "25-29","30-34", "35-39", "40-44","45-49","50-54","55-59","60-64", "65-69", "70-74", "75-79", "80-84", "OVER") Here...

Dear R users, Is it possible to have an overlap histogram plot? For example: stuff <- data.frame(Mode = c("Land", "Air"), AgeGroup = c("Young", "Adult", "Old"), Value = sample(1:300)) histogram( ~Value | AgeGroup * Mode, data = stuff, auto.key = TRUE) Instead of having 2 * 3 panel, I want to have just 3 panel, overlapping the "Mode"

Hello there! I have a really basic question. I have extracted some data from a big database. I have ordered the data in to different agegroups in the rows. Now I want to to have labels of the columns which is going to be divided into men , women and totals. How do I give names to a column? My data looks like this for the moment; 0-39 12 34 43 40-49 14 23 23 50-59 16 37 21 60-69 75 32 41 etc...

Hello everyone, I use Bob Muenchen's approach for reading in "in-stream" (to use SAS parlance) delimited data within a script. This works great: mystring <- "id,workshop,gender,q1,q2,q3,q4 1,1,f,1,1,5,1 2,2,f,2,1,4,1 3,1,f,2,2,4,3 4,2, ,3,1, ,3 5,1,m,4,5,2,4 6,2,m,5,4,5,5 7,1,m,5,3,4,4 8,2,m,4,5,5,5" mydata <- read.table( textConnection(mystring),

Hello! I am trying to run a GLMM using LME4, and keep getting the warning message: "In mer_finalize(ans) : false convergence (8)" I am quite new to R, and in looking into this thus far, it appears that there are a variety of reasons why this might occur, such as needing to standardize some parameters or if all subjects in one combination of parameters all have the same outcome. I also

Hi, I have what I believe is a repeated-measures dataset that I'm trying to analyze using lme(). This is *not* homework, but an exercise in my trying to self-teach myself repeated-measure ANOVA for other *real* datasets that I have and that are extremely similar to the following design. I'm fairly sure the dataset described below would work with lme() -- but it'd be great if anybody

Hello! I would like to add names to a table. The table presents median values, numbers of values (n) and percentage(%) for a given agegroup. Thus I would like to add a label above these three variables for each category. But if I try to use colnames I get a message telling me that the number of labels must be equal to the number of columns in the table. I hope someone could understand what I mean!

Hello. I am attempting to duplicate a negative binomial regression in R. SAS uses generalized estimating equations for model fitting in the GENMOD procedure. proc genmod data=mydata (where=(gender='F')); by agegroup; class id gender type; model count = var1 var2 var3 /dist=NB link=log offset=lregtm; repeated subject=id /type=exch; run; Since my dataset has several observations for

...does exactly what I'm trying to achieve. here the two population counts are plotted in the likert plot and the age groups in the first columns are used as labels. I can't work out why in my example the age group variable is not used in the same way as the in my plot in the same way as the agegroups in this example, other than the example takes it's data from a table and mine is coming from a data frame. The end point I want is a stacked Likert bar chart based on a data frame where the column containing the description of my groups is used as the y axis labels and the other two columns ar...