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lm1_glm
2001 Nov 16
2
pearson residuals in glm for binomial response (PR#1175)
...13-233-5101
University of Leeds fax (44) 113-233-5090
Leeds LS2 9JT, England e-mail: J.T.Kent@leeds.ac.uk
Input:
x_1:4 # regressor variable
y_c(2,6,7,8) # response binomial counts
n_rep(10,4) # number of binomial trials
ym_cbind(y,n-y) # response variable as a matrix
glm1_glm(ym~x,binomial) # fit a generalized linear model
f_fitted(glm1)
rp1_(y-n*f)/sqrt(n*f*(1-f)) # direct calculation of pearson residuals
rp2_residuals(glm1,type="pearson") # should be pearson residuals
rd_residuals(glm1) # deviance residuals
cbind(rp1,rp2,rd) # note second column is wrong, in...