search for: alcgp

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....col ) , fill = col.regions[i.col] ) } } } } #------ EXAMPLE ----------------------------------------------------------- data(esoph) library(lattice) example1.catlevelplot.esoph <- function( ... ){ ncolors <- nlevels( esoph$alcgp ) print( levelplot( ncases ~ agegp * alcgp | tobgp, data=esoph , main = 'esoph data set' , sub = 'tobgp' , cuts = ncolors , layout = c( 4, 4 ) , scales=list( x = list( labels = levels( esoph$agegp ), rot=90...

Good day My name is Jos? Oscar, I'm from Mexico and I have some questions about foreign in your write.foreig( ) function. We know that this function generates the inputs to be able to run them or execute them in another program like SPSS, SAS or Stata. In these cases, when creating an example file, a matrix and using the function to execute the .sps file directly from SPSS, I don't care or

...R-beta/tests' make: *** [check-all] Error 2 I looked at "tests/reg-tests-1.Rout.fail"; it's 1427 lines long. The error given is > ## Comments: > > > ## PR 796 (aic in binomial models is often wrong) > ## > a1 <- glm(cbind(ncases, ncontrols) ~ agegp + tobgp * alcgp, + data = esoph, family = binomial())$aic > a1 [1] 236.9645 > a2 <- glm(ncases/(ncases+ncontrols) ~ agegp + tobgp * alcgp, + data = esoph, family = binomial(), weights=ncases+ncontrols)$aic > a2 [1] 236.9645 > stopifnot(a1 == a2) Error: a1 == a2 is not TRUE Execution halted...

I have a dataframe with the following variables: idnum area gender race etc. I would like to make a table that looks like area gender race M F B W A 1 4 5 3 5 1 2 6 7 4 6 3 etc. Basically, I want to make a single broad table with a number of sub-set tables. I have tried: cbind(table(area, gender), table(area, race)) But, when I do this, I lose the labels gender / race. This makes it

Full_Name: Axel Benz Version: 1.7.1 OS: Windows Submission from: (NULL) (137.251.33.43) Hello, I guess many people will answer me again that this is a S language feature, but I am only a stupid computer scientist and I simply do not understand this logic, despite of reading a lot about S: > test field tuckey 4 Kreis2 -1 5 Kreis5 -2 9 Metall -3 17

...op1" with the following code: ##geno is the dataset ## the dependent variable (casectrln) is dichotomous and coded 0,1 ## rs743572_2 is one of the snps (which is coded 0,1,2 for the 3 genotypes) library(stats) modadd = glm(geno$casectrln ~rs743572_2 + factor(racegrp)+ factor(smokgp)+ factor(alcgp)+ factor(bmigp) + factor(ipssgp) + agebase, family="binomial") drop1(mod,scale=0,test=c("Chisq"), x=NULL, k=2) There is a great deal of missing data in this dataset for both snps and for covariates--so I have been instructed not to simply drop all cases with missing genotype or...

...ice"))() par(mfrow = c(2,2)) ## part of example(interaction.plot) _improved_ using with() : data(OrchardSprays) with(OrchardSprays, { interaction.plot(treatment, rowpos, decrease) interaction.plot(rowpos, treatment, decrease) }) data(esoph) with(esoph, { interaction.plot(agegp, alcgp, ncases/ncontrols) interaction.plot(agegp, tobgp, ncases/ncontrols, trace.label="tobacco", fixed=TRUE) }) ------------------------------- Something that should be easy to fix, but needs some care (and time). Volunteers? Martin Maechler <maechler@stat.math.e...

...et = eval(substitute(Y > 0, list(Y = formula[[2]]))), ##or subset = as.expression(bquote(.(formula[[2]]) > 0)), ##or subset = bquote(.(formula[[2]]) > 0), na.action = na.action) mf } ## never works tst(ncases ~ agegp + alcgp, data = esoph) traceback() #--> shows that inside model.frame.default # eval(substitute(subset, ...)) is called as well ---- Happy quizzing.. Martin Maechler, ETH Zurich

R-1.7.0 built on NetBSD 1.6, but the validation test suite failed: Machinetype: Intel Pentium III (600 MHz); NetBSD 1.6 (GENERIC) Remote gcc version: gcc (GCC) 3.2.2 Remote g++ version: g++ (GCC) 3.2.2 Configure environment: CC=gcc CXX=g++ LDFLAGS=-Wl,-rpath,/usr/local/lib make[5]: Entering directory `/local/build/R-1.7.0/src/library' >>> Building/Updating