search for: unstandardised

...s suggestion (http://www.docstoc.com/docs/21151269/Moderated-Multiple-Regression-v5 p.6) my criteria for significence was the centered indipendent vairable (that has significant interaction level) in Block 2--------- is this way is correct????? second to plot this slope ? used Dawson' s 2 way unstandardised excel spreadsheet (http://www.jeremydawson.co.uk/slopes.htm). In spreadsheet it is required to enter unstandardised regression coefficients of IV, moderator and interaction. ?n which block the coefficients are true for entering IV and moderator co efficients????? ?n 1 block (that include main effec...

...LM with simulated data; x<-rpois(1000,5) model<-glm(x~1,poisson) my.resids<-(log(x)- summary(model)$coefficients[1]) plot(my.resids,residuals(model)) This shows that my calculated residuals (my.resids) are not the same as residuals(model). p 65 of Annette Dobson's book says that GLM (unstandardised) residuals are calculated by analogy with the Normal case. So where am I going wrong? Thanks for your attention. Martin. Martin Hoyle, School of Life and Environmental Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK Webpage: http://myprofile.cos.com/martinhoyle

Hello, I have a statistical problem that I am using R for, but I am not making sense of the results. I am trying to use multiple regression to explore which variables (weather conditions) have the greater effect on a local atmospheric variable. The data is taken from a database that has 20391 data points (Z1). A simplified version of the data I'm looking at is given below, but I have a

Hi all, I am using the vegan package to run a prcincipal components analysis on forest structural variables (tree density, basal area, average height, regeneration density) in R. However, I could not find out how to extract factor loadings (correlations of each variable with each pca axis), as is straightforwar in princomp. Do anyone know how to do that? Moreover, do anyone knows