[R] glm in hdlm?

I am following the example in the vignette for hdlm (p. 19), but I cannot get it to to fit a logistic. For those who don't know the package, it allows one to fit high dimensional data where the number of variables may exceed the number of cases. library(hdlm) LMFUN <- function(x,y) return(glm(y ~

Re: [R] using poly() to predict

es(z)$coefs$norm2 and then use the recursive formula in C++ to evaluate your polynomials. On Wed, Jan 14, 2015 at 2:38 PM, Prof Brian Ripley wrote: > On 14/01/2015 14:20, Stanislav Aggerwal wrote: > >> This method of finding yhat as x %*% b works when I use raw polynomials: >>

[R] using poly() to predict

This method of finding yhat as x %*% b works when I use raw polynomials: x<-1:8 y<- 1+ 1*x + .5*x^2 fit<-lm(y~poly(x,2,raw=T)) b<-coef(fit) xfit<-seq(min(x),max(x),length=20) yfit<-b[1] + poly(xfit,2,raw=T) %*% b[-1] plot(x,y) lines(xfit,yfit) But it doesn't work when I use orthogonal polynomials

Re: [R] nonmonotonic glm?

t; > > On Sun, Jan 11, 2015 at 5:23 PM, Marc Schwartz > wrote: > > > >> On Jan 11, 2015, at 4:00 PM, Ben Bolker wrote: > >> > >> Stanislav Aggerwal gmail.com> writes: > >> > >>> > >>> I have the following problem. >

[R] nonmonotonic glm?

I have the following problem. DV is binomial p IV is quantitative variable that goes from negative to positive values. The data look like this (need nonproportional font to view): o o o o o o o o

Re: [R] get mouse position without waiting for a click

ngDemos package including > HWidentify, HTKidentify, dynIdentify, and TkIdentify. > > > On Mon, Sep 30, 2013 at 8:46 AM, Stanislav Aggerwal < > stan.agger...@gmail.com 'stan.agger...@gmail.com');>> wrote: > >> Consider the following: >> >>

Re: [R] get mouse position without waiting for a click

Very good question -- sorry to have left that info out of my posting. windows() Thanks for any help. Bill On Mon, Sep 30, 2013 at 4:46 PM, Bert Gunter wrote: > On Windows or X11, (others ???) > > ?getGraphicsEvent > > Cheers, > Bert > > On Mon, Sep 30, 2013 at 7:4

[R] get mouse position without waiting for a click

Consider the following: par(mar=c(0,0,0,0),xaxs = 'i',yaxs='i') plot.new() for(i in 1:20) { z <- matrix(runif(256*256), ncol=256) dev.hold() image(z, col=grey(0:255/255),zlim=c(0,1),useRaster=TRUE) dev.flush() Sys.sleep(.1) } I would like to continuously display the animation until

Re: [R] repeated measures logistic regression

Thanks very much Ben for your extremely helpful response. I have loads of data so this worked fine. cheers, Stan On Saturday, July 27, 2013, Ben Bolker wrote: > Stanislav Aggerwal gmail.com> writes: > > > > > I have searched the r-help archive and saw only one > &

[R] repeated measures logistic regression

I have searched the r-help archive and saw only one unanswered post related to mine. My design is as follows. - y is Bernoulli response - x1 is continuous variable - x2 is categorical (factor) variable with two levels The experiment is completely within subjects. That is, each subject r