similar to: Error in eval(expr, envir, enclos) : object 'N' not found

hello I'm learning mgcv and would like to obtain numerical output corresponding to plot.gam. I can do so when seWithMean=FALSE (the default) but only approximately when seWithMean=TRUE. Can anyone show how to obtain the exact values? Alternatively, can you clarify the explanation in the manual "Note that, if seWithMean=TRUE, the confidence bands include the uncertainty about the

I want to use a function as an argument to ingtegrate it twice. See the following (senseless) example of a double integration: test<-function(sf,lo,up,rest) { innerFkn<-function(sf,lo) { inte=integrate(f=sf,lower=lo,upper=4) return( inte$value ) } integral=integrate(f=innerFkn,lower=1,upper=2,sf=sf,lo=lo,up=up) return( integral$vlaue+rest ) }

Buenos dias para todos, Estoy trabajando en una aplicación que involucra análisis de clusters. Básicamente el objetivo es determinar a qué cluster pertenece cada observación de una matriz de datos "mydata" y luego generar muestras aleatorias de los mismos datos para determinar la proporción de veces que cada observación es clasificada en el cluster k. Este tipo de análisis es muy común

Dear all, I have written a function for calculating the volume of a tree (=trad) or snag (=h?gst). The included volume regreesion model includes ten parameter values, which are tree species specific. bj?rk.formh?jd.pars is an object which includes the parameter values (parameter set) for birch (=bj?rk). There is one row per tree in the data object. > relev.kols[1:5,

Hello Guys, I have configured samba & ldap as a domain controller before, but never on a redhat 9 system. I have updated samba & ldap as far as i can tell to the latest. Firstly I have a smaller issue (I think) I get this error when trying to restart ldap, as usual I have followed the samba howto; however it's not the documentation that is the problem more so an unusal problem or

The following C test program was compiled using LLVM with -O3 option and MSVC with /O2. The MSVC one is about 600 times faster than the one compiled with the LLVM. We can see that the for loop in MSVC assembler is solved in the optimization pass more efficiently than that in LLVM. Is there an way to get a optimization result in LLVM like that of the MSVC? Manoel Teixeira #include

1. Re: LLVM optmization (Bill Wendling) Hi, The IR is not wrong. I said that the assembler generated by MSVC is quicker. We can see that the for loop, in the TESTE function, is done without jump's in the MSVC and with jumps in LLVM. I think thats the point. If we don't use threads, the result is the same. My test were done with one billion interactions in the for loop. The MSVC