similar to: RE:

In the help file for the non-central t, the following appears: ncp: non-centrality parameter delta; currently `ncp <= 37.62'. I assume that this means the ncp cannot exceed 37.62. Is this still the case and is there any plans to increase this restriction? Thanks! Jeff Jeff Morris Design Support Clinical Chemistry R&D Ortho-Clinical Diagnostics email: jmorris6 at ocdus.jnj.com

Hello: I am brand new to R, though I've used S-Plus for some time. I've developed some specialized plotting functions that I want to distribute and would like to provide users with a dialogbox for entering input arguments. Has anyone developed functions in R for displaying dialogboxes that could accept multiple inputs? I found winDialog and winDialogString, but these only accept and

I was obviously fascinated by Duncan's earlier message on RXLisp. I managed to build a working version of RXLisp for OS X, by some unabashed and rather uninformed hacking. I compiled XLISP-STAT using the gcc flags -fno-common and --no-cpp-precomp (not sure if they are necessary or not, they are part of an older hack). I "make libxlisp.so", using Duncan's replacement for the

Dear all, One of my friends asked me if it is possible to extract actual R function arguments literally (precisely, as strings). The reason is simple. He feels sometimes awkward to attach quotation marks :-). What he actually wants is to pass R command arguments to XLisp subroutines (He has been an enthusiastic XLisp user for a long time and still tends to use R as a wrapper to XLisp). Is it

Dear R users, I was trying to install the package RXLisp by Duncan Temple Lang on a MDK 9.1 Linux machine running R 1.8.0 installed from a RPM. Unfortunately I had a problem loading the shared library into R. Since I'm a Linux newbie I was not able to solve the problem. Maybe some of you can help me. First of all I downloaded the source archive for Xlisp-Stat and for the RXlisp package.

What in the world am I missing?? > x<-rnorm(20) > mean(x) [1] -0.2272851 > results<-boot(x,mean,R=5) > results[2] $t [,1] [1,] -0.2294562 [2,] -0.2294562 [3,] -0.2294562 [4,] -0.2294562 [5,] -0.2294562 Jeff Morris Ortho-Clinical Diagnostics A Johnson & Johnson Co. Rochester, NY Tel: (585) 453-5794 [[alternative HTML version deleted]]

Hi, this is not an R-help post, but I found this extract below that was written by a leading mathematician back in 1999 when he was talking about statistics and computing. I found it interesting to share and I ask your opinion do you think this still holds today or things have changed? Thanks. ?...we would also like to mention that in our opinion Mathematica provides an excellent and indeed

I am trying to run, in R -Windows95, the example in MASS2, section 17.2. When I run predplot() on cush.lda I get > predplot(cush.lda, "LDA") Error: couldn't find function "max.col" I get the plot OK, but within predict(), it balks on max.col A more general question about using VR. Is there an easy way to use library on VR in general or do I have to move each into

Dear list, the following should fit the model log(PEPC.Wert)=fKTemp+fHerk+interaction(fKTemp,fHerk)+fMub+error, where fKTemp, fHerk are fixed effect factors and fMub is a random effects factor nested in fHerk (values are different fopr different values of fHerk). > logpepcr1 <- lme(log(PEPC.Wert) ~ fKTemp*fHerk, random= ~ 1 | fMub, na.action=na.omit) The following should be without the

1) I installed the latest ESS (Emacs Speaks Statistics) beta release on a machine running Linux. Since there is no S-PLUS product for Linux, I set the ess-site.el file for R, xlisp-stat, and S version 4. I.e., ;; (1.5) Require the needed dialects for your setup. ;;(require 'essd-s+3) (require 'essd-r) (require 'essd-xls) ;;(require 'essd-sas) ;;(require 'essd-s3) ;;

I have been taking a break for the last month or so, and am only just now catching up on my email. Otherwise, I would have joined this discussion earlier. And... I apologize for the length of this, but I don't think it is overly long. >From the amount of activity in the LispStat news group (none), it seems that LispStat is dead. We all know that Luke is working on R and not on LispStat,

Guten Tag , I'm running here a self-compiled samba 2.2.12 on an old suse 8.0 server as a domain controller with w2ksp2- and sp4-clients. The server also services cups, squid, postfix, bind etc. Everything works fine fopr year's. Last week i've changed the dns-system in my private network from *.privatnet to *.bla.dyndns.org. After the dns-change

So far, I had made RXLisp by putting all foo.o from XLISP-STAT in an archive, and linking that into RXLisp.so. I have gotten somewhat further in using dynamic libraries. Here is what I now do. in XLS 1. Copy xlisp modifications from RXLisp 2. configure --host=powerpc-apple-darwin6.2 3. make libxlisp.so CC="gcc -fno-common -L/sw/lib -I/sw/include" 4. gcc -dynamiclib -flat_namespace

I came across a quite interesting post from Ross Ihaka, thought would be good to share it and get the opinion of folks around here. I am not sure where to post this for the R community but since it has to do with development I thought or R-devel Ross Ihaka Newsgroups: comp.lang.lisp From: Ross Ihaka <ih... at stat.auckland.ac.nz> Date: Wed, 23 Jan 2008 10:35:26 +1300 Local: Tues, Jan 22

John Fox (see below) raises important questions for the Lisp-stat community (and perhaps the R community) to consider. This message thread was not cross-posted to r-devel@lists.r-project.org, so I do so now. I have never been an active or particularly adept Lisp-stat programmer. But I have worked on or used several projects for which Lisp-stat seemed the ideal environment-- for implementing

Hi lily, You could also create "blackcells" as a dataframe (which is itself a type of list). I used a list as I thought it would be a more general solution if there were different numbers of values for different grid cells. The use of 1 for the comparison was due to the grid increments being 1. If you had larger or smaller grid increments, you would use the grid increment size for the

If you want colors mapped to the _values_ in DF1$C, there are a number of ways to do it: Color_unq<-color.scale(DF1$C,c(1,0),c(0,0,c(0,1)) This will produce colors from the lowest values (red) through the highest (blue). See the help page for color.scale to get different colors. With this you can use color.legend to add a mapping of the values and colors. If you just want different colors,

I have written some programs in Common Lisp and I have been using SAS to pipe those programs to my lisp compiler in batch mode by using the %xlog and %xlst SAS commands. I wonder if there is in R a similar way to pipe commands to LISP so that all my work would be concentrated in R even when I have to call a LISP program? I have looked at the foreign library but this seems to adjust data types not

What I did was to plot your initial values, then plot the smoothed values and guess the constants. That is, I got an "eyeball" fit to the smoothed values. As I have described this as "gross cheating" in the past, you should either split your data, estimate on one subset and then test on another, or estimate on your data and test on a replication. If you get pretty much the same

If layer$z is a matrix and you want to reverse the order of the rows, you can do: n <- nrow(layer$z) layer$z <- layer$z[ n:1, ] HTH, Eric On Tue, Jan 16, 2018 at 8:43 AM, lily li <chocold12 at gmail.com> wrote: > Sorry for the emails, I just wanted to have an example. > layer$z > > 1 1 3 4 6 2 > 2 3 4 1 2 9 > 1 4 5 2 1 8 > > How to convert