search for: 28464

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2009 Jan 12
3
merge table rows (\multirow)
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
2004 Dec 29
0
ror-es has moved
Dear all, sorry to be an annoyance. The spanish language RoR list has switched from a yahoogroup to a proper (mailman) list and has a new home at http://lists.simplelogica.net/mailman/admin/ror-es -- Manuel a veces :) a veces :( pero siempre trabajando duro para Simplelógica: apariencia, experiencia y comunicación en la web. http://simplelogica.net # (+34) 985 22 12 65 ¡Ah! y
2009 Feb 07
2
Time Series Graphics - "cannot plot more than 10 series"
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
2009 Feb 27
4
Optimize for loop / find last record for each person
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,
2009 Feb 25
4
Have a function like the "_n_" in R ? (Automatic count function )
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
2009 Feb 09
2
Dataframes: conditional calculations per row .
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 :
1998 May 19
7
Bind Overrun Bug and Linux
[mod: Just to show you that people DO get bitten after a bugwarning has gone out on linux-security..... -- REW] -----BEGIN PGP SIGNED MESSAGE----- Content-Type: text/plain; charset=us-ascii Has anyone been hit with the Bind Inverse Query Buffer Overrun on their Linux servers? We have had 3 servers attacked using this expoit and all of the machines had several binaries replaced with trojan
2014 Jan 28
3
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
Hi Stepan, Sorry for the delay. It's great that you are working on MergeFunctions as well and I agree, we should definitely try to combine our efforts to improve MergeFunctions. Just to give you some context, the pass (with the similar function merging patch) is already being used in a production setting. From my point of view, it would be better if we focus on improving its capability
2014 Jan 30
3
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
...3 83424 0 0.01 83397 0 0.01 83397 ctor_dtor_count-2.ll 6 10768 0 0.01 10749 0 0.01 10749 ctor_dtor_count.ll 6 8159 0 0.01 8140 0 0.01 8140 cubestr.ll 4 52286 0 0.01 52256 0 0.02 52256 cubic.ll 1 11181 0 0.01 11143 0 0.01 11143 cvrin.ll 13 303053 0 0.03 303023 0 0.03 303023 cvrmisc.ll 8 28494 0 0.01 28464 0 0.01 28464 cvrm.ll 20 123658 0 0.02 123628 0 0.02 119731 cvrout.ll 18 168322 0 0.02 168292 0 0.02 168292 CWrappers.ll 21 34690 1 0.01 34587 1 0.01 34587 cyclic_reduction.ll 7 577661 0 0.06 577632 0 0.05 577632 d1-pushc.ll 7 30837 0 0.01 30820 0 0.01 30820 d2-pushl.ll 3 19923 0 0.01 19906 0 0.01 1...