search for: wafers

...Wafer) (Pinheiro & Bates book). The data set has Sites coded as values from 1 to 8 for Wafer 1, values 1 to 8 for Wafer 2 etc. Does this mean that the SAME sites are used for each Wafer (i.e. site 1 of water 1 is the same as site 1 of wafer 2)? If different sites were chosen for each of the wafers would one have to code the sites = 1 to 8 for Wafer 1, sites = 9 to 16 for Wafer 2, and so on? In the case of individuals nested within species, each individual is unique - analogous to different sites being chosen for each wafter. Thanks. Bill Shipley [[alternative HTML version de...

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 t...

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

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

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.

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~

Could someone identify a function that I might use to perform a components of variance analysis? In addition to the variance attributable to each factor, I would also like to obtain the SE of the variances. Thank you, John John Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics Baltimore VA Medical Center GRECC and University of Maryland School of Medicine Claude Pepper OAIC University of

Hi all, I tried to do a variance components using nlme, but I got the following warning mesage ##################################################### not meaningful for factors in: Ops.factor(y[revOrder], Fitted) ###################################################### Can someone point out what is the meaning of this warning message? I tried to look at Ops.factor, but I don't

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 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

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)

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

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,

Look at help(sink). I have figured out how to fix up draw.tree to do factor labels correctly and will be doing that in the next few days. Meanwhile I discovered that rpart() provides factor labels in a much more satisfactory way than tree() does. Because of this and because of the additional information rpart provides about the tree building, I recommend you switch to that. > I have created

Hi, I?m trying to replace some SAS statistical functions by R (batch calling). But I?ve seen that calling R in a batch mode (under Unix) takes about 2or 3 times more than SAS software. So it?s a great problem of performance for me. Here is an extract of the calculation: stoutput<-file("res_oneWayAnova.dat","w"); cat("Param|F|Prob",file=stoutput,"\n");

On 13/10/2020 15:01, Markus Jansen via samba wrote: > Thank you very much for your hints. > > I got rid of SSSD and managed to get a successful kerberos > authentication via wbinfo -K and the UPN. > > But accessing via SMB (using MAC OS' smbutil or Finder) still fails with > "FAILED with error NT_STATUS_NO_SUCH_USER". > > As I'm using CentOS 8, I used