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Crossed random effects: > lmer( y ~ (1 | i1) + (1|i2) ,data=dta) Linear mixed-effects model fit by REML Formula: y ~ (1 | i1) + (1 | i2) Data: dta AIC BIC logLik MLdeviance REMLdeviance 91.18 94.84 -42.59 85.2 85.18 Random effects: Groups Name Variance Std.Dev. i1 (Intercept) 0.068224 0.26120 i2 (Intercept) 0.463112

I have the data structure below and I'm attempting to send it into barchart using the R code below it. I don't get an error but I don't get any output either. Deepyan's new Lattice book is amazing and there are some examples sort of similar to what i'm doing but I couldn't see a way of using the formula interface to condition on what I wanted to condition on so I

Dear all, I want to draw a barplot with the following data: [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 110.0675 118.4167 117.16 109.735416 101.6312 104.0312 101.8263 99.38541670 114.2613 [2,] 0.0000 0.0000 0.00 1.658333 0.0000 0.6250 0.0000 0.05208333 0.0000 [,10] [,11] [,12] [,13] [,14] [,15] [,16]

Dear R users I have a really simple question (hoping for a really simple answer :-): Having estimated the spectral density of a time series "x" (heart rate data) with: x.pgram <- spectrum(x,method="pgram") I would like to compute the power in a specific energy band. Assuming that frequency(x)=4 (Hz), and that I am interested in the band between f1 and f2, is the

I was trying to dw data from Economagic [http://www.economagic.com/em-cgi/data.exe/libor/day-ussnon], using following code : library(fimport) dat2 = economagicSeries("libor/day-ussnon", frequency = "daily") Here I see that data is not complete, downloaded data starts from "2007-12-31 ", whereas actual data is available from 2001. secondly, how I convert that data

Dear colleagues, i am carrying out an ordinal regression model. I try it on SPSS but I "flirt" with R as well. I have a few questions. 1. What is the most reliable/tested/trusted package for ordinal regression in the R world? 2. Also, I have a statistical question. What is the danger of having to many 'empty cells' in ordinal regression? How many empty cells are too many? Do