similar to: lmer random effect model matrix question

On 2018-02-05 02:39, Ben Skeggs wrote: > On 5 February 2018 at 11:37, Ben Skeggs <skeggsb at gmail.com> wrote: >> On 5 February 2018 at 11:22, Danilo Krummrich >> <danilokrummrich at dk-develop.de> wrote: >>> On Gainward GTX 1070 routing any other SOR than SOR-1 to macro link >>> 'G' (outp index 7) causes failures: >>> >>> [

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

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

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

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

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~

On Sat, Dec 13, 2014 at 6:42 PM, Andy Ritger <aritger at nvidia.com> wrote: > On Wed, Dec 10, 2014 at 07:46:16AM +1000, Ben Skeggs wrote: >> On Wed, Dec 10, 2014 at 7:36 AM, Ben Skeggs <skeggsb at gmail.com> wrote: >> > On Wed, Dec 10, 2014 at 4:26 AM, Andy Ritger <aritger at nvidia.com> wrote: >> >> Hi, >> > Hey Andy, >> > >>

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]]

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)

Hi Ben, still _assuming_ it's an issue of the card I thought about why it works with the NVIDIA binary driver. And I can image they're just trying to do an identity-mapping first and if that doesn't work (e.g. the particular SOR is already in use by another macro link) they just pick the next suitable one. So the case would be that the NVIDIA binary driver always assignes the only

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

http://bugs.freedesktop.org/show_bug.cgi?id=27398 Summary: displayport: x server does not draw anything on ThinkPad T410 Product: xorg Version: git Platform: x86-64 (AMD64) OS/Version: Linux (All) Status: NEW Severity: major Priority: medium Component: Driver/nouveau AssignedTo:

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

On Wed, Dec 10, 2014 at 7:36 AM, Ben Skeggs <skeggsb at gmail.com> wrote: > On Wed, Dec 10, 2014 at 4:26 AM, Andy Ritger <aritger at nvidia.com> wrote: >> Hi, > Hey Andy, > >> >> The VBIOS on GM20x GPUs uses a slightly updated version of the DCB. >> I've posted an updated DCB spec here: >> >>

Is there a package in R that can do a variability plot? A variability plot is a kind of categorized dot plot. (If there is a lot of data in each category, box plots are used rather than dot plots.) Usually, the categories are factor level combinations. All the dot plots appear in the same window; below the x-axis a hierarchy of factors shows which dot plot corresponds to which factor-level

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,

On Mon, Feb 5, 2018 at 12:19 PM, Danilo Krummrich <danilokrummrich at dk-develop.de> wrote: > On 2018-02-05 02:39, Ben Skeggs wrote: >> >> On 5 February 2018 at 11:37, Ben Skeggs <skeggsb at gmail.com> wrote: >>> >>> On 5 February 2018 at 11:22, Danilo Krummrich >>> <danilokrummrich at dk-develop.de> wrote: >>>>