similar to: Re: printing tree results

I have created a tree and want to save some of the data so that I can create a html table from it. I would like to save the output from data.ltr (see example below) to a file, but haven't found a way to do that, keeping the nice format that typing data.ltr gives me (see output below). Is there a way to do this? Example: library (maptree) library (tree)

I am trying to understand the proper way to encode the nesting structure for data in the context of nlme, in the specific case of individuals nested within species for which each individual is unique. I have searched through Pinheiro & Bates and also past postings, but without success. Take the Wafer data set which has 2 levels: Wafer (8 values) and Site nested within Wafer (10 values for

hello I use samba 3.5.2 I have problem with print$ share. When I try to deploy drivers in print$ , with XP wizard. I get an error cf screenshot I've put log level 10 You can see smbd.log in attachement it cause traceback in syslog Apr 13 11:22:37 scribe smbd[11889]: [2010/04/13 11:22:37.892063, 0] lib/util.c:1465(smb_panic) Apr 13 11:22:37 scribe smbd[11889]: PANIC (pid 11889):

Dear All; Attempting to reproduce Figure 4.15 of MEMSS (p. 171) in R using plot(Wafer, outer = ~ Wafer) yields an error: > plot(Wafer, outer = ~ Wafer) Error in order(na.last, decreasing, ...) : Argument lengths differ The plot() produces the figure without problems for all versions of Splus (4.5 to 6.2) on Windows. Noticing that the plot() differs slightly between

I have one fixed effect, sor, with two levels. I have eight lots and three wafers from each lot. I have included the data below. I would like to fit a mixed model that estimates a covariance parameter for wafer, which is nested in lot, and two covariance parameters for lot, one for each level of sor. The following command fits the model that I want, except for it estimates the correlation

All, I am having trouble with a "read.table()" function that is inside of another function. But if I call the function by itself, it works fine. Moreover, if I run the script on a Mac OS X (with the default Mac OS X version of R installed, rev 2.8), it works fine. But it does not work if I run it on windows vista (also default Windows version of R, rev. 2.8). Again, both

Hello, I was using the functino kgs of maptree and I've realized maptree has been removed from CRAN repository. Anybody knows why has it been removed? or where can I find the function kgs that computes the Kelley-Gardner-Sutcliffe penalty function for a hierarchical cluster tree Thank you. [[alternative HTML version deleted]]

Hi all, I want to install a Medical Transcription Related S/W which is running in M$ Wallless Windows. I want it to be in my box. So does wine / Cedega / Cross Over supports Game port or com port emulation. S/w Name: Express Scribe Website : www.nch.com.au/scribe/ <http://www.nch.com.au/scribe/> Kernel : 2.6.8 Debian Sarge 3.1 Wine : 20050930 release This s/w uses game port for playing

Hello, I have a program called "Evidence Scribe" it runs with .NET Whenever I try to run it I receive this: Code: blake at blake-desktop ~ $ env WINEPREFIX="/home/blake/.wine" wine "C:\Program Files\Idoneum\Evidence Scribe\Evidence Scribe.exe" fixme:gdiplus:GdipGetFontHeightGivenDPI Unhandled unit type: 3 Unhandled Exception: System.InvalidOperationException:

My question relates to problems that I'm having matching lme and lmer examples in P&B. using Matix 0.995 In the Oxide example in p167-170 I can't get the level 2 coefficient estimates to match the fm1Oxide model in lme is data(Oxide,package="nlme") lme(Thickness~1,Oxide) which I translate in Lmer syntax to fm3Oxide<-lmer(Thickness~

Dear all, I am planning to use nlme library for analysis of experiments in semiconductor industry. Currently I am using "lm" but plan to move to "lme" to handle within wafer / wafer-to-wafer and lot-to-lot variation correctly. So far everything is working well, but I have a fundamentel question: NLME offers "maximum likelihood" and "restricted maximum

Dear all, In the SASmixed package there is an example of an analysis of a split-plot experiment. The model is fm1Semi <- lme( resistance ~ ET * position, data = Semiconductor, random = ~ 1 | Grp) where Grp in the Semiconductor dataset is defined as ET*Wafer. Is it possible to specify the grouping directly some way, e.g. like fm1Semi <- lme( resistance ~ ET * position, data =

Hi all, I just wonder what singular convergence means. Thanks. Yen Lin Error in lme.formula(Data ~ 1, random = ~1 | Wafer/fie/loc, subset = Wafer == : singular convergence (7) [[alternative HTML version deleted]]

Hello. One thing I have been running under Wine is something called "Express Scribe", which is rather good gratis software for transcribing audio material. Up through 0.9.3, the program runs nicely but at install there are error messages about not being able to install hot keys. Probably this isn't surprising, so what I am really looking for is advice on how to work around it. In

Hi, I am on RH 8.0 and samba 2.2.7-1 . Why when I share my printer on my linux my xp client can not connect to it. It can see it in "network neighbourhood" when I want to connect it , the message is : Refused access. Impossible connexion . And On W98 box , a printer connected to this LPR has status to < ERROR > . I know that It's caused by my smb.conf: [global]

Hello R-Users! Does anyone know of a package to draw/analyze silicon wafer maps? Here are some examples http://www.java2s.com/Code/Java/Chart/JFreeChartWaferMapChartDemo.htm http://dp.pdf.com/site/products/wafermap/binmap.html I've google'd and searched CRAN with no luck. It seems possible for R, given the hexbin and hist2d graphs I saw at the Graph gallery.

Hi Timo, >> * LIST (\HasNoChildren) "/" "folder1" >> * LIST (\HasNoChildren) "/" "folder2" >> * LIST (\HasNoChildren) "/" {9} >> six"wafer >> . OK List completed. >> >> Note the {9} length of the following real folder name. Is this normal >> handling of special folder names ? >Yes. Well,

Hi helpeRs, I've been working through some examples in Pinhiero & Bates( 2000) trying to understand how to translate to the new Lme4 syntax but without much luck. Below is what I think I should do, but either the answers don't come out the same or I get errors. In the Oxide problems I'm particularly interested in obtaining the levels coeficients but this options no longer seems

Paul: I may have found the issue (which is similar to your conclusion). I checked using egsingle in the mlmRev package as these individuals are strictly nested in this case: library(mlmRev) library(nlme) fm1 <- lme(math ~ year, random=~1|schoolid/childid, egsingle) fm2 <- lmer(math ~ year +(1|schoolid:childid) + (1|schoolid), egsingle) Checking the summary of both models, the output is

Hello all, here's a real-world example: I'm measuring a quantity (d) at five sites (site1 thru site5) on a silicon wafer. There is a clear site-dependence of the measured value. To find out if this is a measurement artifact I measured the wafer four times: twice in the normal position (posN), and twice rotated by 180 degrees (posR). My data looks like this (full, self-contained code at