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is there a way of estimating derivative curves, similar to the ones we get from 'locpoly', from 'loess' estimation. i am interested in estimation of 1st and 2nd derivatives... --------------------------------- [[alternate HTML version deleted]]

Hi there, I have just started using the MASS package in R to run M-estimator robust regressions. The final output appears to only give coefficients, degrees of freedom and t-stats. Does anyone know why R doesn't compute R or R-squared and why doesn't give you any other indices of goodness of fit? Does anyone know how to compute these in R? Sophie -- View this message in context:

...ally color each tessellation element based on a metric. > > > > > >home.u <- unique(home1) > > >home.dist <- dist(home.u) > > >home.sam <- sammon(home.dist,k=2) > > >plot(home.sam$points) > > Wait a minute. If this is sammon() from MASS (uncredited), it is not a > projection, and there is no relevant concept of distance between points in > the mapped space apart from between the supplied points. > > I suggest Zubin reads carefully the reference whose support software he > appears to be using. (It would also have answered h...

Dear R-helpers, I'm fighting with the following problem : I want to do bootstrapping on a Kendall correlation with the following code : > cor.function <- function(data,i) cor(data[i, 1], data[i, 2],method="kendall") > boot.ci <- boot.ci(boot.cor <- boot(cbind(x,y),cor.function, R=1000),conf=c(0.95,0.99)) However, I've got problems because I've got ties

Hi, I have done different discriminant function analysis of multivariat data. With the CV=True option I was not able to perform the predict() call. What do I have to do? Or is there no possibility at all? You also need the predicted values to produce a plot of the analysis, as far as I know. Here my code: pcor.lda2<-lda(pcor~habarea+hcom+isol+flowcov+herbh+inclin+windprot+shrubcov+baregr,

Hi, I'm a R newbie and I have a supervised 2-class classification problem. To find out the best representation of my data (dim = 45). I want to perform LDA und QDA on the diffrent data representations to find out, which is best to discriminate the 2 sets. For LDA there exists a method plot.lda shows (in the 2 class case) a histogramm of the data, projected onto the linear discriminants (pleas

Dear R-helpers, if I am right a discriminant analysis can be done with "lda". My questions are: 1. What method to discriminate the groups is used by "lda" (Fisher's linar discriminant function, diagonal linear discriminant analysis, likelihood ratio discriminant rule, ...)? 2. How can I see, which method is used? (Typing just lda does not give me any code). Thank you in

Hi there, pmvnorm(lo=c(-Inf,-Inf), up=c(Inf,Inf), mean=c(0,0) ) should give me "1", right? But it doens't - it giver me "0". Would someone help me, please? [[alternative HTML version deleted]]

We have a choice when calculating the Huber location estimate: > set.seed(221205) > y <- 7 + 3*rt(30,1) > library(MASS) > huber(y)$mu [1] 5.9117 > coefficients(rlm(y~1)) (Intercept) 5.9204 I was surprised to get two different results. The function huber() works directly with the definition whereas rlm() uses iteratively reweighted least squares. My surprise is

Hello! I am trying to do a smooth with the kde2d function, and I'm getting an error message about NAs. Does anyone have any suggestions? Does this function not do well with NAs in general? fit <- kde2d(X, Y, n=100,lims=c(range(X),range(Y))) Error in if (from == to || length.out < 2) by <- 1 : missing value where TRUE/FALSE needed Thanks in advance!! Jen [[alternative

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Hi sorry if this is really basic but I am just starting on R. Can anyone point me at how to write R objects into Excel 2007 files. I have seen how to set up a connection to a file through odbcConnectExcel2007(xls.file, readOnly = FALSE, ...) but it doesn't say anything on how to write data Thanks _____________________________________________________________________ The

Hi all, I was trying a probit regression using polr() and got this message, Error in model.matrix.default(Terms, m, contrasts) : cannot allocate vector of length 828310236 The data is about 20M (a few days ago I asked a question about large file, thank you for responses, then I use MS Access to select those columns I would use). R is 2.3.1, Windows XP, 512M Ram. I am going to read

Hi I have a data.frame with a grouping variable having the levels C, mild AD, mod AD, O and S since I want to compute a lda only for the two groups 'C' and 'mod AD' I call lda with data=subset(mydata.pca,GROUP == 'mod AD' | GROUP == 'C') my.lda <- lda(GROUP ~ Comp.1 + Comp.2 + Comp.3 + Comp.4+ Comp.5 + Comp.6 + Comp.7 + Comp.8 ,

Using S+ 6 for Linux and R 1.4.1 Taking verbatim some lines from S-Plus that work perfectly, and running them on R, I get an unexpected error message: R : Copyright 2002, The R Development Core Team Version 1.4.1 (2002-01-30) > library(MASS) > data <- read.table("/usr/local/data/mcmanus.dat",header=T) > mcmanus.frm <-

...it back and forth. Same thing happens with Appear. Here''s my "glow" code if you accept contributions. I love your work here so much that I''d be honored to be able to add something back. If you want to credit me, I''ll be even happier but I''ll accept an uncredited entry as well. :) Could probably come up with a few more effects. With the Color class, it would be pretty easy to extend this to glowing borders, text color, etc. Probably could be done in one effect pretty easily with a "style" option upon which to apply the color. Come to think of it,...

Greetings all, As you have noticed, I have been largely absent from the wxruby team for quite a while now. Fortunately, others have taken charge and continued to move wxruby forward. It''s still a great project, but I just can''t participate right now. I will be unsubscribing from both the dev and users mailing lists in a couple days. Because I will be packing for a long trip

Hello, thank you all for answering my previous Qs.. I have a new Q: I am wondering is there good source for explaning input and output parameters of R function? In that aspect, I found the help documents in R is not that helpful:) I am struggling with trying to understand what some of the returned value means.. for example, for surf.ls() function, the help in R only describes 3 fields(the