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I have to deal with data frames that contain multiple entries of the same (based on an identifying collumn 'id'). The second collumn is mostly corresponding to the the id collumn which means that double entries can be eliminated with ?unique. a <- unique(data.frame(timestamp=c(3,3,3,5,8), mylabel=c("a","a","a","b","c"))) However

Hello, all! Help me please to solve problem with Sphinx and its delta index. Configuration file is located in attachment to this topic. ------------------------------------------------------------------- mysql> select id, e_mail from users where e_mail LIKE ''%test%''; -------------------------------------------------------------------

Hi all, i have model A which has a field indexed from model B. model A belongs to model B. So whenever i insert a row in model ''A'', a query is fired to the field from model ''B'' even though the data was not changed for the field in model B. Can i somehow avoid these extra queries,or rather query the data and index it,only if the data has been changed>? e.g

dear all, i'm trying to reproduce an spss-anova in R. It is an 2x3x3 repeated measures desingn with repeated contrasts. In R i've coded a contrast matrix for all factors and made a split in the aov summary - but I can't get the repeated interaction contrasts. The output from SPSS looks like this: TaskSw * CongNow * CongBefore: SS df Mean Square F Sig. 1 vs. 2 1 vs. 2 1 vs. 2

I have the following data ID x y time 1 10 20 0 1 10 30 1 1 10 40 2 2 12 23 0 2 12 25 1 2 12 28 2 2 12 38 3 3 5 10 0 3 5 15 2 ..... x is time invariant, ID is the subject id number, y is changing over time. I want to find out the difference between the first and last observed y value for each subject and get a table like ID x y 1 10 20 2 12 15 3 5 5 ...... Is there any easy way to generate

I have the data similar to the following in a data frame: LastName Department Salary 1 Johnson IT 56000 2 James HR 54223 3 Howe Finance 80000 4 Jones Finance 82000 5 Norwood IT 67000 6 Benson Sales 76000 7 Smith Sales 65778 8 Baker HR 56778 9 Dempsey HR 78999 10 Nolan