search for: poid

Hi, poids taille fumeur sexe sport etat 85 184 oui homme 1 malade 65 175 oui homme 1 malade 74 180 oui homme 2 gueri 79 175 oui homme 2 malade 71 165 non homme 3 gueri 80 185 non homme 3 gueri 75 180...

Hello, I’d like to do next, see if you could help me please: I have a csv called “datuak” with a id called “calee_id” and a colunm called “poids”. I have another csv called “datuak2” with the same id called “calee_id”, (although there are “calee_id” that are in “datuak” but not in “datuak2” and inverse), and a column called “kg_totales” in which the values are repeteated for each calee_id because are the sum of the colum “kg” for each row...

...(1/nrow(x), nrow(x)), d = rep(1, ncol(x)), ctr = T, reduc = T, contav = F, method = "acp", tol = 10^(-8)) { #============================================================ # Methode d'analyse en composantes principales # avec des metriques diagonales: # wt vecteur des poids # d vecteurs des elements diagonaux de la metrique # si ctr=T l'acp est centree # si reduc=T l'acp est reduite # Method = "acp" or "afc" or "afcm" # method that produced the call to the function acp # tol...

...with predictive value. I visited the help of R but I have problem to understand well the example. When I use glm fonction, I have a problem, thus I use lrm. My code is: modele<-lrm(Y~L+P,data=donnee) fun<- function(x) plogis(x-modele$coef[1]+modele$coef[2]) f <- Newlabels(modele,c(L="poids",P="taille")) nomogram(f, fun=list('Prob Y<=1'=plogis), fun.at=c(seq(0,1,by=.1),.95,.99), lmgp=.1, cex.axis=.6) fun.at=c(.01,.05,seq(.1,.9,by=.1),.95,.99), lmgp=.2, cex.axis=.6) options(Fire=NULL) Result is bad and I have this following erro...

Howdy folks, Has anyone had any luck getting Oracle''s XMLType to play nicely with Rails? According to the docs, it''s just a wrapper around CLOB. However the ruby-oci8 driver throws an exception about user defined types if you try to query a table with an XMLType column. Any pointers would be appreciated. Thanks, -wilig

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...ysed by discrimin. Is it my function that is wrong or the something within the discrimin code! Here is my code: load("~/matrix2.RData") best<-function(liste=alt.transf,nombre=99){ x<-liste[[nombre]] library(ade4) p<-99 xx<-cov(x[,-(1:3)]) a<-eigen(xx,only.values=T) poids<-cumsum(a$values/sum(a$values)) nombre<-min(which(poids>=(p/100)),na.rm=T) acp<-dudi.pca(x[,-(1:3)],scale=T,scannf=F,nf=nombre) #if ve or vt print(acp) d<-discrimin(acp, as.factor(x[,1]),scan=F,nf=4) return(d) } b<-best(k,1) #look at the print out ... .... $rank: 166...

...7.2 136 M 3.6 11.8 137 M 3.6 13.3 138 M 3.6 14.8 139 M 3.6 15.0 My program is following: library(e1071) library(MASS) catseq <- read.table('P:/catsredeq.txt',header=T,sep="") plot(catseq$Hwt,catseq$Bwt,pch=as.integer(catseq[,2]),col=as.integer(catseq[,2]),xlab="poids du coeur",ylab="poids du corps") title(main="Données 'chats' (cas séparable)") catseq <- catseq[,2:4] attach(catseq) svm12 <- svm(Sex~.,data=catseq,kernel="linear",scale=T) svm12 x11() plot(svm12,catseq,grid=200) x11() svm22 <- svm(Sex~.,dat...

...Component Analysis With FactoMiner package in . My data has 923 observation and 12 quantitatives variables. In data frame is there no missing values but are there Zeros as observed values for some units of analysis. When i execute the function >PCA(testeff) is there one error: #error in V* poids: non-numeric argument to binary operator. Can anybody help? Thanks! Carlos