similar to: Smooth sm ...

Hello: I have been using sm.binomial() in the Bowman and Azzalini's sm package to smooth and plot estimated probabilities as a function of a covariate. I am concerned about my choice of bandwidth, and I was hoping there was another method available in some other package, perhaps with an automatic choice of smoothing parameter. Does anyone know of one? Thanks in advance. Tom Richards

Hi all, I was looking for a non parametric survival analysis and I came up with the following sample from the web. However, I could not run it. Which library or function does "sm.regression" require? x <- runif(100,-2, 2) y <- x^2 + rnorm(50) sm.regression(x, y, h=0.5) Error: could not find function "sm.regression" Thanks Val [[alternative HTML version deleted]]

Hi, I'm using R 1001 for Windows NT and the sm library. I'm trying to create plots for my data set like Bowman and Azzalini have in Figure 1.8 (p. 9) of their book for my data (i.e. a contour plot for each group in my data set and its all plotted on 1 plot). The problem I'm having is that R is not drawing closed contour lines for each group. Sometimes it does; other times it

Hello, I am a newbie to R and the subject of density estimation in two dimensions or more. I would like to have some advice concerning a comparison between the R packages for density estimation in bivariate or higher order problems; I mean explicitly the packages: 1) ash 2) KernSmooth 3) locfit 4) sm. My specific problem now is having a set of numerical pairs (x_i, y_i), arising from a

The sm package (by Adrian Bowman and Adelchi Azzalini) implements a variety of nonparametric smoothing techniques, centred on nonparametric regression for one or two covariates and density estimation for up to three variables. A new version of the package is now available on CRAN. In an earlier unannounced version (2.1), a variety of methods of bandwidth selection were added, with default

The sm package (by Adrian Bowman and Adelchi Azzalini) implements a variety of nonparametric smoothing techniques, centred on nonparametric regression for one or two covariates and density estimation for up to three variables. A new version of the package is now available on CRAN. In an earlier unannounced version (2.1), a variety of methods of bandwidth selection were added, with default

The package "sm" was obtained twice, one using R's built-in updating of packages, the second directly. In both cases the USA-NC CRAN mirror was used. In both cases, loading the package under R 2.10.1 for Windows resulted in a 'package obsolete' kind of message. Switching the mirror to USA-CA-1 (Berkeley) got a good package that loaded without complaint. R version 2.10.1

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(

I have been attempting to use Bowman & Azzalini kernel smoothing routines from the SM library to sketch confidence intervals for serially correlated longitudinal data. The rm procedure does not seem allow for cases where the variance is increasing with time. The envelope in this case is drawn with a constant width. Are there any macros around for smoothing that do this or have I

Dear R experts, density estimation on a 2 dimensional bounded domain --------------------------------------------------------------------- I am currently trying to estimate the probability density (PD) of cancers within the breast using the sm library with the routine sm.density Of course a practical PD must be limited by the curve of the breast outline. I don't have a clue after perusing

Dear R-Listers, I have spatial data on an equidistant rectangular grid, similar to topographic data. I know that there are quite a few R-packages or base functions that provide nice iso-contours plot, but I don't want a plot, just the smoothed isocontour line of ONE level (e.g. 10 mm). Data sets are large, so it would be preferable if the availability of regular grid data could be exploited,

Hello, after a fresh install on and amd64, nvidia, linux 2.6.16, i get this error after starting wine: bowman@discovery ~ $ winecfg wine: creating configuration directory '/home/bowman/.wine'... X Error of failed request: BadAlloc (insufficient resources for operation) Major opcode of failed request: 144 (GLX) Minor opcode of failed request: 3 (X_GLXCreateContext) Serial number

Full_Name: Ed Borasky Version: 1.8.1 OS: Windows XP Professional Submission from: (NULL) (208.252.96.195) R 1.8.1 seems to be running into a memory allocation problem in the "aggregate" function. I have a rather large dataset (14 columns by 223,000 rows -- almost 40 megabytes) and a script that performs some processing on it. The system is a 768 MB Pentium 4. Here's the console

I know that I''m doing something wrong, but I can''t figure out what. I''ve looked at every wiki and tutorial I can find on feedtools but I still can''t get my rss feed working. Here''s my code. feed = FeedTools::Feed.new feed.entries << FeedTools::FeedItem.new feed.entries[0].author.name = "Charlie Bowman" feed.entries[0].title =

Hi There I have a lm object with 4 parameters and I want to test wether 2 parameters are equal using a Wald test (basically b1=b2 or b1-b2 =0). In the help file from R it says that under ANOVA the optional arguments " Terms" or "L" test whether a linear combination is equal to 0. I tried; >anova(m1, Terms = Beta1-Beta2=0) but I get the error: Object " Beta1"

The problem I am seeing was introduced between 6.4p1 and 6.5p1 (and still exists in 6.6p1). With HostbasedAuthentication/EnableSSHKeysign turned on, I am seeing one of two sets of messages: no matching hostkey found ssh_keysign: no reply key_sign failed and not a valid request ssh_keysign: no reply key_sign failed Then in either case two password prompts: bowman at HOST.math.utah.edu's

I''ve written my own blog (I know typo is better, but I wanted the experience of writing my own) and I want to add syntax highlighting to it. I''ve read about using the ruby gem syntax but I can''t figure out how to implement it. I''ve also wondered if it could be used in my case. How does it work when you have a long line of code but the <div> your

Dear R-Users, I need to find a smooth function f() and coefficients a_i that give the best fit to y ~ a_0 + a_1*f(x_1) + a_2*f(x_2) Note that it is the same non-linear transformation f() that is applied to both x_1 and x_2. So my first question is how can I do it in R? A more general question is this: suppose I have a utility function U(a_i, f()), where f() is say a spline. Is there a general

I''m trying to add some executable code to my blog posts. How can I include this inside of a blog post and eval it? Charlie bowman http://www.recentrambles.com -------------- next part -------------- An HTML attachment was scrubbed... URL: http://wrath.rubyonrails.org/pipermail/rails/attachments/20060523/a3536408/attachment.html

Are there config files for vim that offer syntax highlighting of rjs templates? Charlie Bowman http://www.recentrambles.com -------------- next part -------------- An HTML attachment was scrubbed... URL: http://wrath.rubyonrails.org/pipermail/rails/attachments/20060329/486c9d84/attachment.html