similar to: 0 ^ NaN == Inf, why?

Full_Name: Stephen Milborrow Version: R 2.8.0 OS: Windows XP Submission from: (NULL) (81.159.65.46) Under certain conditions, R 2.8.0 incorrectly echoes integer literals without the "L" suffix. R 2.7.2 is ok. To reproduce, create two files as follows: a.R containing: source("b.R", echo=TRUE) b.R containing: x <- 1L Now execute: Rterm --vanilla --silent <a.R This

? data=read.table("http://statcourse.com/research/boston.csv", , sep=",", header = TRUE) ? library(rpart) ? fit=rpart (MV~ CRIM+ZN+INDUS+CHAS+NOX+RM+AGE+DIS+RAD+TAX+ PT+B+LSTAT) Please: Show me the tree. Mark -------- Original Message -------- Subject: Re: [R] help with rpart From: "Stephen Milborrow" <[1]milbo at sonic.net>

Stephen, thanks for your effort. The more appropriate list for this discussion is probably R-devel (as far as I understand it) so I've moved the discussion there. Related topics have already been discussed in the past. Specifically, I remember contributions by Paul Johnson ("rockchalk" package) and John Fox ("effects" and "car" package) as their packages

Greetings R developers, R will run a little faster when executing "pure R" code if the function R_CheckStack() is modified. With the modification, the following code for example runs 15% faster (compared to a virgin R-2.5.1 on my Windows XP machine): N = 1e7 foo <- function(x) { for (i in 1:N) x <- x + 1 x }

On 25/10/2008 10:45 AM, milbo at sonic.net wrote: > Full_Name: Stephen Milborrow > Version: R 2.8.0 > OS: Windows XP > Submission from: (NULL) (81.159.65.46) > > > Under certain conditions, R 2.8.0 incorrectly echoes integer literals without > the "L" suffix. R 2.7.2 is ok. > > To reproduce, create two files as follows: > a.R containing:

Viewing certain postscript files under R 2.13-0 is very slow, at least using GSview on my 64 bit Windows 7 system. To see this, compare how long it takes to display these two files (fast.ps was created by removing the /srgb stuff in .ps.prolog): www.milbo.org/postscript/slow.ps www.milbo.org/postscript/fast.ps The code to produce the above two files is here:

Greetings R developers! I have been working on a just-in-time compiler for R arithmetic expressions. An example: jit(1) # turn on just-in-time compilation for(i in 1:na) # example convolution code for(j in 1:nb) ab[i + j] <- ab[i + j] + a[i] * b[j] The loop will run about 30% faster. That's not much of a speedup, but the code

> Looking for a simple, effective a minimum execution time solution. > > For a vector as: > > c(0,0,1,0,1,1,1,0,0,1,1,0,1,0,1,1,1,1,1,1) > To transform it to the following vector without using any loops: > (0,0,1,0,1,2,3,0,0,1,2,0,1,0,1,2,3,4,5,6) > Appreciate any suggetions. [[alternative HTML version deleted]]

On Mon, Sep 14, 2015 at 8:49 PM, Jeroen Ooms <jeroen.ooms at stat.ucla.edu> wrote: > I tested this hypothesis by replacing '__GNUC__ <= 4' with '__GNUC__ > <= 5' and rebuilding R, but this introduces a whole lot of problems > that were not there before. In particular R crashes when using the > graphics device, which it did not without this fix. I found

Hello all useRs, I am tring make a simple surface plot ( 2 by 2 terms of a MARS model (with earth package) but I get the follow error message: > plotmo( mars ) Error: bad index (missing column in x?) I don't no how to workround this... :-( I thanks in advanced by some help! Thanks. Cleber ############### > > ### example code: > library( earth ) > data( gasoline,

It appears to be legitimate to include multi-level categorical and continuous variables in defining the model for earth (e.g. y ~ cat + cont1 + cont2) but is it also then possible use categoricals in the predict method using the earth result? I tried but it returns an error which is not very informative. Thanks Chris

Dear experts, Please forgive the puzzled title and the length of this message - I thought it would be best to be as complete as possible and to show the avenues I have explored. I'm trying to fit a linear model to data with a binary dependent variable (i.e. Target.ACC: accuracy of response) using lrm, and thought I would start from the most complex model (of which "sample1.lrm1" is

I was glad to see the new rpart.plot package by Stephen Milborrow. I was however a bit concerned that Stephen distributed a dataset I created, and renamed the dataset (from titanic3 to ptitanic) in the process [with some justification, as some variables were omitted]. Fortunately Stephen included the script he used to download the dataset from our web site, and gave full credit to us. What

Hi Everyone, I posted this a couple of weeks ago with no responses. My interface (via gmane) seemed a bit flakey at the time, so I'm venturing to repost with some additional information. I'm trying to write selfStart non-linear models for use with nls. In these models some combinations of parameter values are illegal; the function value is undefined. That's OK when calling the

Hi there, I am trying to compare nonlinear least squares regression with AIC and anova. The simplest model is one nonlinear curve, and in the more complex model I have a categorical variable (producing parameter estimates for four curves). Both models run fine, but when I try to produce an AIC value for the second model I get the error: > AIC(pow.nls1) [1] 114408.3 > AIC(pow.nls2) Error in

On 14/09/2015 9:36 AM, luke-tierney at uiowa.edu wrote: > I believe the issue is that on Windows the sqrt function when called > with a NaN does not return the same NaN, as it does on other platforms. > We have > > #if (defined(_WIN32) || defined(_WIN64)) && defined(__GNUC__) && \ > __GNUC__ <= 4 > # define R_sqrt(x) (ISNAN(x) ? x : sqrt(x)) > #else

Hello, I am trying to install R packages under linux, some of the packages can not be installed and I got the following error, could anybody give me suggestion on where the problem is and how to fix it? Thanks-e > .libPaths() [1] "/usr/lib64/R/library" [2] "/usr/share/R/library" [3]

at lines 651 & 653 (integer_binary function): if (code == DIVOP || code == POWOP) ans = allocVector(REALSXP, n); else ans = allocVector(INTSXP, n); There are calls to warningcall() later in the function, which can trigger garbbage collection. Looks like the typical scenario where it seemed pretty safe to not PROTECT in the original version of the function but

Hello: rJava works for me under 32-bit but under not 64-bit R; see below. Suggestions? Thanks, Spencer > library(rJava) Error : .onLoad failed in loadNamespace() for 'rJava', details: call: stop("No CurrentVersion entry in '", key, "'! Try re-installing Java and make sure R and Java have matching architectures.")

Hello, I encountered this: > png(file=tempfile(), width=1165, height=12983) Error in png(file = tempfile(), width = 1165, height = 12983) : unable to start png() device In addition: Warning messages: 1: In png(file = tempfile(), width = 1165, height = 12983) : Unable to allocate bitmap 2: In png(file = tempfile(), width = 1165, height = 12983) : opening device failed > On the