similar to: substituting values

Running R 1.8.1 on a Windows machine In dotchart, I would like to shrink the labels on the tick marks (that is, the numbers) without shrinking anything else. I could not find this in either the Rhelp archives or in ?dotchart, which recmmends cex to avoid 'label overlap', but cex shrinks all the characters in the plot. Is there a way to do this? Thanks Peter Peter L. Flom, PhD

... and is there also such a nice tool (like spss.get) for exporting data frames to SPSS? write.table does not keep the data frame labels - neither did the other exporting tools that I found. Thanks! Michael [[alternative HTML version deleted]]

Dear List, just a little question, I am interested in Latent Class Analysis and I guess if there is a package for this pourpose thank for you help, Simone

Dear All, Need some help in polynomials transformation to get the coefficients. I have tried "poly.transform" as applied in S-plus but it does not work. Thanks in advanced for any helps. Regards. Abd. Rahman Kassim (PhD) Head Forest Ecology Branch Forest Management & Ecology Program Forestry and Conservation Division Forest Research Institute Malaysia Kepong 52109 Selangor,

I have a dataframe of numeric values with 30 ?rows? and 7 ?columns?. For each column, beginning at ?row? 12 and down to ?row? 30, I wish to calculate the ?rolling 12 row product?. I.e., within each column, I wish to multiply all the values in row 1:12, 2:13, 19:30. I wish to save the results as a new dataframe, which will have 19 rows and 7 columns.

I have been wrestling with this function for quite a while, and am not making headway. 1) I want to apply a function to the following columns of a dataframe: myfunction. <- apply(ph5028[,c(83:107)],2,function(x) ... 2) Within each of the above columns there is a single numeric code, 1, 2 or 3 or an NA. 3) My goal is to determine the percent of time each person used a 2 code. So if a person

Dear R-helpers, I have a problem which I suppose is trivila, but... I have included NA values as factors ( (to be able to make nice printed summaries with NAs % ba category ) with the following code dat$x.f<-factor(dat$x, exclude=NULL); levels(dat$x.f)<-c("A1","A2","A3","A4","NA"); length(dat$x.f) Now, I want to impute the missing values.

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hello all - I'm trying to format some data where I only need one of the values returned from a test, say a t-test in this instance. I have the following: > R.version.string [1] "R version 1.9.0, 2004-04-12" > x <- rnorm(1001) > t.test(x)$statistic t 0.5555321 > Any easy way (other than straight

When I originally posted my question under ( C-c C-c does not kill data editor), I thought that it was a problem with ESS rather than R. However, I have tried to do the same from a command line R (R 1.8.1 (2003-11-21). on a debian testing i386 machine) and I got the same problem. Specifically I cannot kill the DataEntryWindow by issuing C-c (control c). However, unless I issue the C-c command the

Hello! I would like to know how do I citate R? I have used it during my Master thesis but I don’t know how to citate during the text and on the references. I’ve looked for it on the web page but only found how to citate the FAQ. Thank you in advance. Tatiana Fernandes Universidade Estadual do Norte Fluminense Laboratório de Ciências Ambientais - CBB Av. Alberto Lamego, 2.000 - Campos dos

i have a data set with repeated measures on same people, structure like below: id x1 x2 ... 001 10 20 ... 001 8 45 ... 001 4 2 ... 002 .... 002 ... 002 .... 002 .... 003 .... ....... what is the easist way to show how many observations for each subject id? [[alternative HTML version deleted]]

I have data in the following form: ID COUPON0 COUPON1 COUPON2 COUPON3 1 1 1000 1001 1002 2 2 NA NA NA 3 1000 1003 NA 1004 4 1001 NA 1005 NA 5 1002 NA NA NA 12 1003 NA NA 1006 7 1005 NA NA NA 8 1004 1007 NA NA 9 1006 NA NA NA 26

Hello, I was wondering, is there a way to plot estimated betas and standard deviations that I've generated? Specifically, I have the following: A matrix of estimated betas (two different betas, 4 different simulations - categories). A matrix of estimated standard errors corresponding to each of those betas. I would like to plot the estimated beta, and make a confidence

Hello there, Does anyone know how to plot venn diagrams in R? Ive searched the mail archive lists but to no avail. Regards, Wayne Jones KSS Ltd Seventh Floor St James's Buildings 79 Oxford Street Manchester M1 6SS England Company Registration Number 2800886 Tel: +44 (0) 161 228 0040 Fax: +44 (0) 161 236 6305 mailto:kssg@kssg.com http://www.kssg.com The information in this

Dear all, One of my students have installed R1.9.0 on windows, and gets the fatal error 'invalid HOMEDRIVE' Can anyone help her/me out on that one? Thanks in advance Søren Højsgaard [[alternative HTML version deleted]]

Dear R-friends, the dataset I am using (data.it) is organized as follows partner stp btp reg hk 0.64 1 s ger 0.27 1 d tur 0.27 1 s rom 0.24 1 s-f por 0.24 1 s spa 0.23 1 s gre 0.22 1 d-f aus 0.17 1 d uk 0.16 1 s be 0.16 1 d arg 0.15 1 s usa 0.13 1 d-f fra 0.13 1 s neth

Hi, R members. I want to save plots. So I use the R as fallows : -------------------------------- a <- c(1,10) b <- c(1,10) c <- c(2,20) d <- c(2,20) require(lattice) trellis.device("bmp", file = "test.bmp", bg = "white") print(plot(a,b)) print(plot(c,d)) dev.off() -------------------------------- However, I got a image of plot(c,d). I want to get a

Hello, How ls() only functions or only data objects (basically anything other than functions) such as data.frame, numeric ...? John [[alternative HTML version deleted]]

Dear list, I have a vector (array, table row, whatever is best) of frequency values for categories (or bins), and I need to find the median category. Trivial to do by hand, but I was wondering if there is a means to do it in R in an elegant way. The obvious medioan(vector) returns the median frequency for the binns, and that is not what I want. i.e,: freq cat1 1 cat2 10

Hi, I am trying to create a power curve to show how the power of a t-test varies depending on the mean. Any ideas how I should go about this? Louisa _________________________________________________________________ [[alternative HTML version deleted]]