Dear Thomas,
it is, unfortunately, not that simple. t.test() returns an object of class
"htest" and not all such objects have standard errors. I'm not entirely sure
what the point is since it's easy to compute the standard error of the
difference from the information in the object (adapting an example from
?t.test):
> (res <- t.test(1:10, y = c(7:20)))
Welch Two Sample t-test
data: 1:10 and c(7:20)
t = -5.4349, df = 21.982, p-value = 1.855e-05
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-11.052802 -4.947198
sample estimates:
mean of x mean of y
5.5 13.5
> as.vector(abs(diff(res$estimate)/res$statistic)) # SE
[1] 1.47196
> class(res)
[1] "htest"
and if you really want to print the SE as a matter of course, you could always
write your own wrapper for t.test() that returns an object of class, say,
"t.test" for which you can provide a print() method. Much of the advantage of
working in a statistical computing environment like R (or Stata, for that
matter) is that you can make things work the way you like.
Best,
John
-------------------------------------------------
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
Web: http::/socserv.mcmaster.ca/jfox
> On Feb 21, 2019, at 3:57 PM, Thomas J. Leeper <thosjlee...@gmail.com> wrote:
>
> A recent thread on Twitter [1] by a Stata user highlighted that t.test()
> does not return or print the standard error of the mean difference, despite
> it being calculated by the function.
>
> I know this isn’t the kind of change that’s likely to be made but could we
> at least return the SE even if the print() method isn’t updated? Or,
> better, update the print() method to display this as well?
>
> Best,
> Thomas
>
> [1]
> https://twitter.com/amandayagan/status/1098314654470819840?s=21
> --
>
> Thomas J. Leeper
> http://www.thomasleeper.com
>
> [[alternative HTML version deleted]]
>
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