search for: age_group

Hi R community, I'm just starting out in R and have a basic question about xyplot and tables. Suppose I had a table of data with the following names: Height, Age_group, City. I'd like to plot mean Height vs Age_group for each City. When I try to do the following: > library(lattice) > xyplot(mean(Height) ~ Age_group | City) of course I get just one data point, the mean Height for all individuals. I also tried constructing a new array with mean Height...

A small example before I begin my query: > educ <- read.table(efile, header=TRUE) > educ Education Age_Group Count 1 IncompleteHS 25-34 5416 2 IncompleteHS 35-44 5030 3 IncompleteHS 45-54 5777 4 IncompleteHS 55-64 7606 5 IncompleteHS >64 13746 6 CompletedHS 25-34 16431 7 CompletedHS 35-44 1855 8 CompletedHS 45-54 9435 9 CompletedHS 55-64 8795 10...

Hoping someone can help me with xtabs and ftable. I'm trying to get a pair of ftables (possibly more) next to each other. For example: > dunhill_lights_xtab<-ftable(xtabs(grossedupobs ~ gender+age_group + dunhill_lights, data = ciggs)) > dunhill_lights_xtab dunhill_lights No Yes gender age_group Female 16-24 4013099.665 11182.244 25-34 3563054.240 11378.064 35-4...

I''m working on a fairly complex join query and could use a bit of advice from more expert users of ActiveRecord. I have an events table with quite a lot of data, with has_many relations to categories, age_groups, and event_images. In my first naive implementation, each event had a date, so to load all upcoming events efficiently, I''d do: Event.find(:all, :conditions=>[''start_date >= ?'', Date.today], :includes=[:categories, :age_groups, :event_images]) This works well, an...

Dear List, I have a data matrix with 570 columns containing 95 (samples) with 6 replicates each. How can I calculate the mean of the replicates for 95 samples? Thank you. The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is

...t_level2","mean_level1", "mean_level2", "rel_diff", "p_mean", "cohens_d") #subset the data frame y0410_1825_mf_alc <- subset (sigtests_overall_withid, years=="0410" & age_group=="1825" & gender_group=="all" & drug=="alc" & contrast_level1=="wh", select=keep_cols1) #change the row.names row.names (y0410_1825_mf_alc)= 1:dim(y0410_1825_mf_alc)[1]...

...n: All Status: NEW Severity: enhancement Priority: P5 Component: core AssignedTo: wayned at samba.org ReportedBy: jidanni at jidanni.org QAContact: rsync-qa at samba.org Wish it would tell me I'm repeating myself. $ rsync -uva age_grouper Makefile filter extractor extractor extractor interviewer m.jidanni.org:ceeeeeeee/ building file list ... done Makefile See how "real" programs do it: $ touch f $ mkdir w $ cp f f f w cp: warning: source file ?f? specified more than once cp: warning: source file ?f? specified more tha...

..."E06001" "" "" "" ... $ lga : int NA NA NA NA NA NA NA NA NA NA ... $ dob_my : num 1.27e+12 1.27e+12 1.27e+12 1.27e+12 1.27e+12 ... $ dob_ddmwdob : int 0 0 0 0 0 0 0 0 0 0 ... $ age : int 0 0 1 2 0 0 0 0 0 0 ... $ age_group : int 1 1 1 1 1 1 1 1 1 1 ... $ sex : int 1 2 2 2 2 2 2 2 2 2 ... $ aborig : int 1 4 4 4 4 4 4 4 4 4 ... $ cob : int 1105 1105 1100 1101 1105 3 3 3 1105 1105 ... $ marital : int 1 1 1 1 1 1 1 1 1 1 ... $ emp_stat : int 1 1 8 1 1 1 1 1...