similar to: 10x slower merge in mac 2.9.1 vs. 2.9.0 (PR#13890)

I have been using a function seqN <- function(N) {if (0==length(N)) NULL else if (N<=0) NULL else seq(N)} in for loops when I want no looping in the case of a zero value: for (i in seqN(m) ) ... Since seqN(0) returns NULL this results in for doing no loops (which is much more convenient than always checking for m==0). It seems that a function like this should be defined in R (and S) but

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Hi everyone, my apologies in advance if I'm overlooking something simple in this question. I am trying to use R's survey package to make a direct method age-adjustment to some complex survey data. I have played with postStratify, calibrate, rake, and simply multiplying the base weights by the correct proportions - nothing seems to hit the published numbers on the nose. I am trying to

I am still running 2.9.0 and came across a package that was built with 2.9.1. I got a warning upon loading the package. I tried to launch a function from such a package. It seems to hang up. I can't believe it takes forever. I am resolved to upgrade my R version to the newest one. But on a Windows box I do not know how to unistall the current version in advance of installing the new one. On

I?m trying to find datasets that will give me residuals, after applying the lm function, with no normality, non linearity, and heteroscedacity so I can try to exemplify those cases in the linear regression model. Can you give any advice on what datasets would be appropiate? I can?t use the ones in the alr3 package because those have already been seen in class. Thank you very much :-) natorro

Below is code that introduces a list comprehension syntax into R, allowing expressions like: > .[ sin(x) ~ x <- (0:11)/11 ] [1] 0.00000000 0.09078392 0.18081808 0.26935891 0.35567516 0.43905397 [7] 0.51880673 0.59427479 0.66483486 0.72990422 0.78894546 0.84147098 > .[ .[x*y ~ x <- 0:3] ~ y <- 0:4] [,1] [,2] [,3] [,4] [,5] [1,] 0 0 0 0 0 [2,] 0 1 2

Hello, I am doing a simple regression using lm(Y~X). As my response and my predictor seemed to be skewed and I can't meet the model assumptions. Therefore I need to transform my variables. I wanted to ask what is the preferred way to find out if predictor and/or response needs to be transformed and if yes how (log-transform?). I found a procedure in "A modern approach to Regressoin in

Please let me know if this is or is not the right place to ask these types of questions. Warning: I am new to R by two days. I have a simple dataset. I have loaded the dataset successfully using the following code: Filepath=(C:\temp\\pilot\dataset1.txt") Pilot=read.table(filepath, header=TRUE) Dataset1.txt is delimited and looks like this: Date illness count 2006/01/01 derm 17 2006/01/01

Dear all, Is there a way to retrieve standard errors from nls models? The help page tells me that arguments such as se.fit are ignored... Many thanks and best wishes Christoph -- Dr. rer.nat. Christoph Scherber University of Goettingen DNPW, Agroecology Waldweg 26 D-37073 Goettingen Germany phone +49 (0)551 39 8807 fax +49 (0)551 39 8806 Homepage http://www.gwdg.de/~cscherb1

We are constructing growth charts (age/weight and age/length) for children with diagnosis that impacts weight/length. But we we don't know how to use R for producing growth charts. We are collection data of Age, Weight and Length. The data are used to produce diagnosis-specific Growth charts (like the CDC Growth Charts:

Hello, I was wondering who to contact to see about somehow interconnecting or integrating the programs R and Epi Info. I have been involved in the development of Epi Info which is a software program developed by the Centers for Disease Control and Prevention (CDC) in Atlanta (www.cdc.gov/epiinfo<http://www.cdc.gov/epiinfo>). Epi Info allows for creating data entry systems and performs

I am working on a simple pilot project comparing the capability of SQL, SAS and R to perform a rolling mean per the following instructions. I have completed the SQL and SAS analysis, so now it's R's turn. Calculate mean values of x (x=count) for each date in the dataset where mean = the average count of days [t-9] through day [t-3] for each date/illness combination. Dataset aggpilot

Here is a question from an old guy: I want to use the boxplot function as follows: boxplot( p.prop ~ R + bins ) This command makes nice boxplot for the factor "R" crossed with the factor "bins". I am having alot of trouble getting control of the labels on the X axis. I want to control it more by specifying what the labels are, controling the 'size' of those

OK, I am running CentOS 6 on my Laptop and Desktop, presently kernel version 2.6.32-696.20.1.el6.x86_64 (yes, a version or so out of date -- I'll probably do an update soon -- non-trivial since my Internet connection is via dialup). I recently bought a couple of Adafruit Arduino compatibles, a Flora and a Metro 328. Hooking up the Flora and the Metro to a Raspberry Pi running Raspbian

Dear developers, I have noticed difference in computation time for the data.frame function between R2.9.0 and R2.8.1. The older release is more efficient: typically, R2.9.0 spends three more time in the data.frame function. Therefore, when many calls of this kind is done inside a function, the additional time spent with R2.9.0 may be several minutes. Looking at the profiling results (see file

Hi R-help: I'm just an old guy and new to this list... But have been using R for years now. I want to make a map of counties in the US with shaded colors that depend on the level of variable "Y" that I want to map. I have the US county and state fips codes and the Y variable. How do I do this? Please reply to pzs6@cdc.gov Thanks, Phil Smith pzs6@cdc.gov [[alternative HTML

Hi R-Help: I want to produce a map of the US with different colors for selected states. I installed the map package, and then used: library(maps) I can see that by using map( 'state' ) you get the state boundaries, also. How do I fill in different colors for the different states? I see there is a col parameter for map, but can't see how to get it to work! Please reply

Hi R-people: I need a function to compute the number of months between 2 dates, in the same way a mother would do it. For example, if a kid is born on February 6, the number of months between that date and March 7 is exactly 1 month, although it is only 29 days. Thank you! Phil Smith CDC [[alternative HTML version deleted]]

hello, I am trying to do exploratory factor analysis with BRFSS dataset ( http://www.cdc.gov/brfss/technical_infodata/surveydata/2008.htm) for a couple of days, but I was not able to do that and got frustrated. Can anybody help me with step by step guide? BRFSS dataset provides ASCII or SAS format. Thank you. chloe [[alternative HTML version deleted]]

Hi All: I'm using win.metafile() to produce windows metafiles. When I use Word to insert the wmf picture, Word gives an error! I did my homework in posting this question, and couldn't find a fix. Any suggestions? Phil Smith CDC