confint and adjust in R [General Sta­tis­tics]

posted by ElMaestro  – Denmark, 2019-01-07 18:12  – Posting: # 19754
Views: 487

Dear d_labes,

» What you describe must be an effect of using an add-on package with comes with the possibility to consider multiplicity in calculation of confidence intervals.

Thanks a lot for commenting :-)

Can you try this:

library("lsmeans")
set.seed(12341)
v1=c(rep("A",10),rep( "B",10), rep( "C", 10))
v2=c(rep("Q",10),rep( "W",10), rep( "E",10))
Foo=sample(v1)
Bar=sample(v2)
y=runif(30)
M=lm(y~factor(Foo)+factor(Bar))

confint(pairs(lsmeans(M, "Foo")), adjust="none")
confint(pairs(lsmeans(M, "Foo")), adjust="bonferroni")
confint(pairs(lsmeans(M, "Foo")), adjust="eat.my.shorts")
confint(pairs(lsmeans(M, "Foo")))
# HAPPY NEW YEAR


It gives four different results here. You can see adjust is passed as an argument to the confint function so can't see how it would be part of lsmeans or pairs args.

if (3) 4

x=c("Foo", "Bar")
b=data.frame(x)
typeof(b[,1]) ##aha, integer?
b[,1]+1 ##then let me add 1



Best regards,
ElMaestro

"(...) targeted cancer therapies will benefit fewer than 2 percent of the cancer patients they’re aimed at. That reality is often lost on consumers, who are being fed a steady diet of winning anecdotes about miracle cures." New York Times (ed.), June 9, 2018.

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