search for: wafer

...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 each value of 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...

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 R...

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...

...lt;- lmer(pixel ~ day + I(day^2) +(1|DS), data = Pixel)) (fm4Pixel <- lmer(pixel ~ day + I(day^2) +Side , data = Pixel)) #Oxide # P&B(2000) p167-170 Oxide<-read.csv("Oxide.csv",header=TRUE); Oxide$Source<-as.factor(Oxide$Source) Oxide$Lot<-as.factor(Oxide$Lot) Oxide$Wafer<-as.factor(Oxide$Wafer) Oxide$Site<-as.factor(Oxide$Site) fm1Oxide<-lmer(Thickness~ (1|Lot)+(1|Lot:Wafer),data=Oxide) ) (fm2Oxide<-lmer(Thickness~ (1|Lot),data=Oxide) ) coef(fm1Oxide) [[alternative HTML version deleted]]

...So it is some sort of permissions thing. ############################################## cro.etest.grab <- function(dataDir="raw.etest.data", header="hdr", dataHeaders="datasets/eTestDataHeaders.txt", slotCol="Wafer", dateFormat="%m/%d/%Y %H:%M:%S", lotCol="eTestLotID") { ### Function: grab data in its raw form from SVTC's HP electrical tester and ### "munge" it into a format more friendly for analysis in R. ### Requires: dataDir --...

...plots appear in the same window; below the x-axis a hierarchy of factors shows which dot plot corresponds to which factor-level combination. Examples can be seen http://statsoft.com/support/blog/entryid/64/user-defined-variability-plots/ and http://www.public.iastate.edu/~wrstephe/stat495/GaugeRR_WaferThickness_JMPOutput.pdf By reordering the factor names in the function call, the user can reorder the factor level combinations on the graph, making it easier to do the visual comparisons of interest. The user should also have the option to draw line segments at factor level combination means/medi...

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 Gra...

...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~ (1|Lot)+(1|Lot:Wafer),data=Oxide) #or alternatively which gives the same result Oxide$LW<-with(Oxide,Lot:Wafer)[drop=TRUE] fm4Oxide<-lmer(Thickness~ (1|Lot)+(1|LW),data=Oxide) however if you look at say Lot 8, lme gives 8 1993.767 8/1 1993.677 8/2 1995.170 8/3 1990.693 while lmer gives coef(...

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 likelihood" for parameter estimation. ML has the advantage, that likelihood ratios can be com...

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 = Semiconductor, random = ~ 1 | ET*Wafer) (this does not work, I know, but somehow I would expect it to be possible to get around having to define a new variable in the 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 bottom). Note that sites with t...

...data<-read.csv("C:\\data.txt") cnames<-colnames(data) data$Vendor=as.factor(data$Vendor) data$Yield=as.numeric(data$Yield) data.ltr <- tree(Yield ~ ., data) Output: > data.ltr node), split, n, deviance, yval * denotes terminal node 1) root 22 18.590 1.1360 2) X0100.WAFER.START.SCRIBE.PROD: 1TAGG3,1TAHK2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA 17 3.059 0.7647 4) e.F: 0,2,5 6 1.333 0.3333 * 5) e.F: 1,3,4 11 0.000 1.0000 * 3) X0100.WAFER.START.SCRIBE.PROD: 1TAHL7,NA,NA,NA 5 5.200 2.4000 * > __________________________________________________ Do Y...

...n 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~ (1|Lot)+(1|Lot:Wafer),data=Oxide) #or alternatively which gives the same result Oxide$LW<-with(Oxide,Lot:Wafer)[drop=TRUE] fm4Oxide<-lmer(Thickness~ (1|Lot)+(1|LW),data=Oxide) however if you look at say Lot 8, lme gives 8 1993.767 8/1 1993.677 8/2 1995.170 8/3 1990.693 while lmer gives coef(f...

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, I did try other servers and e.g. on scalix I'm getting this: * LIST (\X-DirectRef=000d7f94a4731510 \X-ModDate=201...

...lt;-colnames(data) > data$Vendor=as.factor(data$Vendor) > data$Yield=as.numeric(data$Yield) > data.ltr <- tree(Yield ~ ., data) > > Output: > > data.ltr > node), split, n, deviance, yval > * denotes terminal node > > 1) root 22 18.590 1.1360 > 2) X0100.WAFER.START.SCRIBE.PROD: > 1TAGG3,1TAHK2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA > 17 3.059 0.7647 > 4) e.F: 0,2,5 6 1.333 0.3333 * > 5) e.F: 1,3,4 11 0.000 1.0000 * > 3) X0100.WAFER.START.SCRIBE.PROD: 1TAHL7,NA,NA,NA 5 > 5.200 2.4000 * > > -.-.-.-.-.-.-.-.-.-.-.-....

...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"); for (i in 1:n) { p<-list_param[[i]] aov_<-aov(A[,p]~ A[,"wafer"],data=A); anova_<-summary(aov_); if (!is.na(anova_[[1]][1,5]) & anova_[[1]][1,5]<=0.0001) res_aov<-cbind(p,anova_[[1]][1,4],"<0.0001") else res_aov<-cbind(p,anova_[[1]][1,4],anova_[[1]][1,5]); cat(res_aov, file=stoutput, append = TRUE,sep = "|","...

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