search for: lr2

...)/2 attr(ans, 'class') <- 'dendrogram' ans } lc1 <- dendro.leaf('c1') lc2 <- dendro.leaf('c2') lc3 <- dendro.leaf('c3') nc1 <- dendro.merge(lc1, lc2, 0.1) nc2 <- dendro.merge(nc1, lc3, 0.2) plot(nc2) lr1 <- dendro.leaf('r1') lr2 <- dendro.leaf('r2') lr3 <- dendro.leaf('r3') nr1 <- dendro.merge(lr2, lr3, 0.1) nr2 <- dendro.merge(lr1, nr1, 0.3) plot(nr2) x <- matrix(seq(-1, 1, length.out=9), nrow=3) rownames(x) <- paste('r', 1:3, sep='') colnames(x) <- paste('c',...

I have fitted a logistic regression model > failed.lr2$call lrm(formula = failed ~ Age + task2 + Age:task2, data = time.long, na.action = na.omit) using the Design package functions and would like to generate a nomogram from this model. the datadist information is generated and stored in > ddist time.long$Age time.long$task2...

...cts when they are created (or of removing it after the models have been trained)? I have discovered the model=FALSE,x=FALSE,y=FALSE switches to glm() and these seem to help somewhat, but perhaps there is some other way of only recording the coefficients of the model and other minimal details? > lr2 <- glm(y~x1*x2,family=binomial,data=data,model=FALSE,x=FALSE,y=FALSE) > object.size(lr2) 888065968 bytes Secondly, on data-sets of the scale I am using, predict.glm seems to be taking a very long time to make its predictions. > print(system.time(predict(lr1,type="response",newd...

...cts when they are created (or of removing it after the models have been trained)? I have discovered the model=FALSE,x=FALSE,y=FALSE switches to glm() and these seem to help somewhat, but perhaps there is some other way of only recording the coefficients of the model and other minimal details? > lr2 <- glm(y~x1*x2,family=binomial,data=data,model=FALSE,x=FALSE,y=FALSE) > object.size(lr2) 888065968 bytes Secondly, on data-sets of the scale I am using, predict.glm seems to be taking a very long time to make its predictions. > print(system.time(predict(lr1,type="response",newd...

...utput of glm(): matrix2 <- read.table("http://ihome.ust.hk/~haitian/sample2.txt") names(matrix2)<- c("g0","g28","g1334","g1871","g3639","g4295") library(MASS) fo2 <- as.formula(g0 ~ g28 * g1334 * g1871 * g3639 * g4295) lr2 <- glm(fo2, family=binomial(link=logit), data=matrix2) summary(lr2) Deviance Residuals: Min 1Q Median 3Q Max -4.527e-05 -2.107e-08 -2.107e-08 2.107e-08 5.802e-05 Coefficients: Estimate Std. Error z value Pr(>|z|) (I...

I am a rank newb at this and I appologize, I would have dumped MS long ago but I am not any kind of a coder, so having to write scripts and such is out for me. I really want to dump everything microsoft.....but I have to be able to run Adobe Photoshop 7 and CS4......why do I keep PS7...because I can't get a lot of the plug-ins I use for any thing above 7 and a lot of the ones I can I have to

I currently have a dedicated server at ev1servers, but it''s getting rather antiquated (Redhat 9) and am looking to upgrade. I''m thinking about serverbeach.com - one of their CentOS servers. Anybody have any recommendations for dedicated servers on which to run Rails? Hopefully less than $200/month. Thanks! CSN __________________________________________________ Do You Yahoo!?

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