# FIRST: SOMETHING THAT WORKS FROM A COMMAND PROMPT
DF <- data.frame(y=.1, N=100)
(fit <- glm(y~1, family=binomial, data=DF,
weights=DF[,"N"]))
Call: glm(formula = y ~ 1, family = binomial, data = DF, weights = DF[, "N"])
Coefficients:
(Intercept) -2.197
Degrees of Freedom: 0 Total (i.e. Null); 0 Residual Null Deviance: 0 Residual Deviance: -1.11e-14 AIC: 6.052
confint(fit)
> confint(fit)
2.5 % 97.5 %
(Intercept) NaN NaN
Warning message:
NaNs produced in: qt(p, df, lower.tail, log.p)
# The default confint thinks it knows glm, but doesn't. This is fixed with: library(MASS)
confint(fit)
Waiting for profiling to be done...
2.5 % 97.5 %
-2.915193 -1.594401
# This is on the logit space. For proportions: Waiting for profiling to be done...
2.5 % 97.5 %
0.0514076 0.1687655
# PUT IT IN A FUNCTION: confint.binom <- function(y="y", size="N", data.=DF){
fit <- glm(y~1, family=binomial, data=data.,
weights=data.[,size])
CI <- confint(fit)
CI
}
> confint.binom()
Waiting for profiling to be done...
Error in model.frame.default(formula = y ~ 1, data = data., weights = data.[, :
Object "data." not found
##To get around this, assign both data. and size to some place where confint.glm can find them
confint.binom.pos <- function(y="y", size="N", data.=DF,
pos=0){
assign("data.", data., pos)
assign("size", size, pos)
fit <- glm(y~1, family=binomial, data=data.,
weights=data.[,size])
CI <- confint(fit)
CI
}
> confint.binom.pos()
Error in as.environment(pos) : invalid argument
> confint.binom.pos(pos=-1)
Waiting for profiling to be done...
Error in model.frame.default(formula = y ~ 1, data = data., weights = data.[, :
Object "data." not found
> confint.binom.pos(pos=1)
Waiting for profiling to be done...
2.5 % 97.5 %
-2.915193 -1.594401
# This works. # HOWEVER, THIS ASSIGNS data. AND size TO THE WORKING DIRECTORY. # HOW CAN I GET AROUND THIS?
If I had "confint.glm", I could modify it so it could find data. and size. However, its hidden.
Thanks for your help. Spencer Graves
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