similar to: Commented version of the home page graphics code

I have been looking for a database application to use in conjunction with R (on a Windows network). When I approached my organization's IT department to ask about using MySQL, they made a counter-offer of Filemaker Pro (v8). It is not specifically mentioned in 'R Data Import/Export', nor do searches of the archives turn up much information. Does anyone have any experience using

Gentlemen, In the documentation for reshape, in the function signature, the argument "direction" is not listed. However, it is explained in the explanation of parameters below. I am using R 2.2.1. Out of curiosity: Is the R core team still an all-male affair? I don't think I have seen a single lady's name. -- -- Vivek Satsangi Student, Rochester, NY USA

Folks, I want to make the following function more efficient, by vectorizing it: getCriterionDecisionDate <- function (quarter , year) { if (length(quarter) != length(year)) stop ("Quarter and year vectors of unequal length!"); ret <- character(0); for (i in 1:length(quarter)) { currQuarter <- quarter[i]; currYear <- year[i]; if ((currQuarter < 1) |

On http://www.r-project.org/, there is an R script linked to the top graphic, http://www.r-project.org/misc/acpclust.R. This script says it works in R 1.8.1, but in 2.0.1 it gives (me): > source("acpclust.R") Loading required package: ade4 Loading required package: mva Loading required package: RColorBrewer Loading required package: pixmap Loading required package: ade4 Error in

Folks, This is probably a "help me google this properly, please"-type of question. In TIBCO Spotfire, there is a procedure called "line similarity". I use this to determine which observations show a growing, stable or declining pattern... sort of like a mini-regression on the time-line for each observation. So of the input is

Folks, I do a series of regressions (one for each quarter in the dataset) and then go and extract the residuals from each stored lm object that is returned as follows: vResiduals <- as.vector(unlist(resid(lQuarterlyRegressions[[i]]))); Here lQuarterlyRegressions is a vector of objects returned by lm(). Next, I may go find outliers using identify() on a plot or do some other analysis which

Folks, I know that I can do the following using a loop. That's been a lot easier for me to write and understand. But I am trying to force myself to use more vectorized / matrixed code so that eventually I will become a better R programmer. I have a dataframe that has some values by Year, Quarter and Ranking. The variable of interest is the return (F3MRet), to be weighted averaged within the

Folks, I have the following code, that works fine on smaller data sets. For larger datasets, it runs out of memory and runs way too slow because we are essentially creating large vectors with rep() and then calling median() on it. (I learned this approach from a post on the web). Below that, I have written the corresponding SAS code. The SAS code works fast because I can just tell the proc

Dear R users and developpers, My question is adressed to both of you, so I choose R-help to post it. Are there any plans to jazz up the main R website : http://www.r-project.org The look it have now is the same for a long time and kind of sad compared to other statistical package's website. Of course, the comparison is not fair, since companies are paying web designers to draw lollipop

Folks, 1. Is there a more appropriate list (r-devel?) for posting such suggestions? I am a newbie to R, and doubtless will have some suggestions for the documentation -- some good, others not quite so. I would actually like to help give back to the community (I was motivated by Prof. Ripley's 2001 talk in which he had commented that open source software users rarely give back anything.) --

Hi, I have a couple of questions: * would it be possible to add more information on the history, for example the number of the command and a timestamp. With the number of command, one could do some stuff like in a terminal to recall a specific command : $ !45 and with the timestamp, one could imagine to ask for commands that were typed in a given interval of time. For example : R>

Hi, I'm trying to build a simple R package 'helloWorld' with just one function that prints 'hello World' on the C side. I agree that it is completely useless, but I just start mixing R and C. My C file is as follows : #include <stdio.h> void helloWorld() { printf("hello world !\n") ; } When I call it from R, here is what happens : R>

Hi all, I'm trying to superimpose a rchisq density line over a histogram with something like: hist(alnlength) lines(density(rchisq(length(alnlength), 4)),col="red") But the rchisq line won't appear anywhere, Anyone knows what I am missing here? Thanks in advance, Albert.

Folks, Sorry if this question has been answered before or is obvious (or worse, statistically "bad"). I don't understand what was said in one of the search results that seems somewhat related. I use aggregate to get a quick summary of the data. Part of what I am looking for in the summary is, how much influence might the NA's have had, if they were included, and is excluding

I'm sure I'm being stupid so flame away... R2.2.1 on Windoze (boohoo) latest updates of packages. I'm exploring a dataset (land) with three variables looking at an narrowly unbalanced two group (GROUP) ANCOVA of a randomised controlled trial analysing endpoint score (SFQ.LOCF.ENDPOINT) entering the baseline score (SFQ.BASELINE) as covariate and the following work fine: > res.same

Disclaimer/Apology: I am an R newbie I am seeing some behaviour that seems to me to be the result of some cacheing going on at some level, and perhaps this is expected behaviour. I would just like to understand the basic rules. What I have is a file with some data. I read it in and then do a summary on the resulting dataframe. I find the some values are completely outside the expected range,

I seem to remember reading somewhere about some style guide regarding R the number of comment characters (#) prior to the comment meaning something. Anyone know to what I'm referring? Where? ---------------------------------------------------------- SIGSIG -- signature too long (core dumped)

Hi R users This looks a simple question Is there any difference between between rnorm(1000,0,1) and running rnorm(500,0,1) twice in terms of outcome ? TM

Dear r-list, I am trying to visually seperate the two main clusters of a dendrogram. The idea is to use: 'edgePar=list(lty=3)' for 'dend1[[1]]' and 'edgePar=list(lty=1)' for 'dend1[[2]]' I have not found a way to solve this. Any suggestions? Patrick hc <- hclust(dist(USArrests), "ave") (dend1 <- as.dendrogram(hc)) par(mfrow=c(2,2)) plot(dend1)

Dear R-help, This is my first R day. I want to ask some more beginner's questions. Q1. How can I obtain the covariance matrix for parameter estimates of a multiple regression? I checked ?lm but didn't get the information. Q2. How can I see the old graphs in the graph window? Q3. Can R plot animated graph? For example, I want to see the dynamic change of a 2D graph during a time