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Hi: I need help merging rows. I am trying to merge the 'Month' column using \multirow. For example for the column 'Week' I want July to be merged into one row(weeks 27,28,29,30) and so on for the following weeks. Below, I am creating a PDF using Sweave, MikTex,R-2.8.1 and windows XP to show an example. \documentclass[11pt]{article} \usepackage{longtable,verbatim} \title{How to

...6 23 7 -65 285 635 34112 2006 24 6 0 0 0 0 2006 25 7 0 0 0 0 2006 26 0 2006 27 4 228 931 1634 137726 2006 28 4 801 2231 3662 569977 2006 29 4 4544 9242 13939 6147522 2006 30 5 15798 28465 41131 44697915 2006 31 5 25398 41049 56701 68245523 2006 32 5 48197 82216 116235 322416917 2006 33 5 142980 230411 317841 2129630128 2006 34 5 227141 360468 493794 4952314336 2006 35 5 467244 756325 1045405 23281569629 2006 36 5 281049 463331 645614 9256900449 2006 37 2 227636 620330 1013023 42961663047 2006 38 3 478990 983472 1487954 70903343603 2006 39 7 539690 846522 1153354 26228718974 2006 40 7 320959 4578...

Hi Experts, I would like to present time series data in meaningful way in building some graphics. I've tried: (1) plot(ts(mbaye3)) and (2) plot(ts(mbaye3), start=1990) But I always get this error-message: Fehler [error] in plotts(x = x, y = y, plot.type = plot.type, xy.labels = xy.labels, : cannot plot more than 10 series as "multiple" my data: mbaye3

I want to find the last record for each person_id in a data frame (from a SQL database) ordered by date. Is there a better way than this for loop? for (i in 2:length(history[,1])) { if (history[i, "person_id"] == history[i - 1, "person_id"]) history[i, "order"] = history[i - 1, "order"] + 1 # same person else history[i,

Have the counter function in R ? if we use the software SAS /*** SAS Code **************************/ data tmp(drop= i); retain seed x 0; do i = 1 to 5; call ranuni(seed,x); output; end; run; data new; counter=_n_; ***** this keyword _n_ ****; set tmp; run; /* _n_ (Automatic variables) are created automatically by the DATA step or by DATA step statements. */ /*** Output

Dear Sirs: I've been working with several variables in a dataframe that serve as part of a calculation that I need to perform in a different way depending on its value. Let me explain: The main dataframe is called llmcc llmcc : 'data.frame': 283 obs. of 11 variables: $ Area : num 308.8 105.6 51.4 51.4 52.9 ... $ mFondo : num 30.1 10 10.2 10.2 40.4 ... $ mFachada :