similar to: plot math Q: How to "plot" hat(f') ?

Hi, I am not sure if this is a bug or a non-implement feature of text-drawing functions with TeX-style expression, but hat() and some of its equals does not get the right "bounding boxes" if they are put in sub- or superscripts. For instance, for the expression 'b[hat(a)]' the hat() seems to shift 'hat(a)' too much to the right of 'b'. Try the below example and

Is there anyway to label axes in 3D plots with mathematical expressions? In the code below, I want to replace "delta_yrsed" with what "\Delta \widehat{yrsed}" represents in TeX, but the [xyz]lab parameters of title3d appear to only accept character strings. require("rgl") fn.delta.yrsed <- function(dist, delta.dist,

MM> I've sent two bug reports that both haven't been forwarded to R-devel MM> and haven't should up at the jitterbug repository. MM> ?? MM> Martin Well, actually only one [the other went to R-core alone] Here it is : From: Martin Maechler <maechler@sophie> To: R-bugs Subject: plot math - segfault and "frac", "^" bug(s).. Date: 8

[this didn't go out at noon time during our e-mail storm...] In R versions 0.65, 0.90.0, and the current "pre-release", both on Linux and Solaris (the segfault at least) [with x11() , but most probably not device dependent]. The following shows it all : plot(1,type='n') ## Frac doesn't shrink properly... text(.7,1.3, expression( frac(7,4) == 1 *

This is in R versions 0.65, 0.90.0, and the current "pre-release", both on Linux and Solaris [with x11() , but most probably not device dependent]. The following shows it all : plot(1,type='n') ## Frac doesn't shrink properly... text(.7,1.3, expression( frac(7,4) == 1 * frac(3,4)), cex=1) text(.7,1.2, expression( frac(7,4) == 1 * frac(3,4)), cex=3)

As many of you have probably realized, the spam filtering at @stat.math.ethz.ch has been dead for since yesterday (09-25) ~16:50 till today ~08:30. The sudden death may have been caused by unrelated installation of some perl modules (spamassassin *is* running on perl) by our IT staff. We are very sorry for this event. On the bright side: You have been able to get a glimpse of what you are

Many of us known that sometimes, e.g. in calls to .C(..), you want to basically say x <- as.integer(x) but you can't do that because as.vector() and it's descendants such as as.integer, as.double, as.character drop all attributes. Several months ago, someone proposed to use a new function As.integer() instead. Since I just now again "stumbled" on it, I wondered if

I am using 32-bit R 3.1.2 on Windows 7. I recently conducted an `R CMD check --as-cran` on a recently-developed package and received only the 'New submission' note. Research on StackOverflow and on R-devel suggested this could be ignored. I also used devtools::build_win() and received no notes or warnings, other than the one mentioned previously. Lastly, I conducted an `R CMD check` with

Sorry if this subject has been already dealt here. Which are some common tests for nonparametric k-way ANOVA? I have read about Kruskal-Wallis test as a kind of nonparametric one-way ANOVA, but I have not found anything about a general-setting (I mean k-way) nonparametric ANOVA. Can you recommend me a good R package (or other reliable software) for that? Looking forward to your answers, --

Get some question about the function "gam". Suppose I have a semiparametric model, Y~x1+x2+s(z1). Using "gam", how could I get the estimates for the parametric part and nonparametric part respectively? And another question: we could find the coefficients for both parametric term and nonparametric term, what do these coefficients for the nonparametric term stand for, the

We have (spatial statistics) group here that are (about to) interface Fortran 90 and/or 95 software to R and/or S-plus. My recommendation has been against this because of non-availability of GNU or other free (not only moneywise, in the GNU sense) compilers for Fortran 9x. Does anybody have good guesses about the future here? The user group here say they like F 9[05] because of its ``object

Hi All, What do you consider to be the best book(reference) on nonparametric regression? I am currently reading the book of Kunio Takezawa(2006): "Introduction to nonparametric regression". Is the book of Hardle(1990): "Applied nonparametric regression" better? or maybe another book? This is off topic, but most of the books is using R or S-plus. Thanks Hennie

Hi, I am doing my PhD and I usually use SPSS however now I need to do some multivariate nonparametric tests but SPSS don?t work with this. Recently I was aware of R and I saw that is possible using the MNM pack to perform multivariate nonparametric tests. I am learning step by step how to work in R meanwhile I need to perform the multivariate nonparametric tests for my PhD and I have no idea

i) (function(x, ...) length(...))(1) gives 0 in S (plus 3.4) and an error in R. It also gives an error in Splus 5.0r3. So we could well remain as we are... however ii) (function(x, ...) length(...))(1,2) gives 1 in all dialects of S that I have available. So by my `continuation logic', I'd argue that "i)" above should give 0 (and R and S-plus 5.0r3 behave

Dear UseRs: Recently, I have read an article regarding the association between age and lymph node metastases. http://jco.ascopubs.org/content/27/18/2931.long In statistical analysis, the authors stated "Because a nonlinear relationship between age and lymph node involvement was expected based on existing literature, lymph node involvement was also regressed on age using nonparametric

Hi all, I'd like to compare species richness patterns of two groups with paired observations with an extra continuous fixed effect as a covariate. Normally I would use a standard general mixed effect model for such data, with one group variable and a continuous variable as fixed effects, plus a random effect for the paired observations. However, after making such a model with the lme

Hello! For comparing two non-normally distributed samples, Leech (2002) suggested to report nonparametric effect size indices, such as Vargha & Delaney's A or Cliff's d. I tried to search the R-sites, but could not find related procedures or packages that include nonparametric effect sizes. Thank you for your help! Citation: Leech (2002). A call for greater use of nonparametric

I'm trying to plot a grid over a levelplot print( levelplot( var1.pred~x+y, data=saw.pred, aspect=mapasp(saw.pred), col.regions=terrain.colors(80), main=main) ) using the data... > saw.pred x y var1.pred var1.var sort 1 5 5 3.3761200 256.3363 saw 2 15 5 3.3884142 499.5695 saw 3 25 5 3.5394769

I am working with a model that I have to estimate a nonparametric function. The model is partial linear i.e. Y=X$\beta$ + f(z) + $\epsilon$ I am using the ' double residual methods' Robinson (1988) Speckman (1988) where I estimate a nonparametric function for each of the parametric variables in terms of the nonparametric one i.e. X[,i]=g(Z)+ u this is done because I need the $E(

Given the following data, I am plotting log.det ~ norm.beta, where the points depend on a parameter, lambda (but there is no functional form). I want to find the (x,y) positions along this curve corresponding to two special values of lambda lambda.HKB <- 0.004275357 lambda.LW <- 0.03229531 and draw reference lines at ~ -45 degrees (or normal to the curve) thru these points. How can I do