For all those that are interested.
To adjust the number of reps in the stat_summary() "mean_cl_boot" function
simply specify "B" to the number of bootstrap resamples. I set B to 2000
resamplings below.
stat_summary(fun.data="mean_cl_boot", geom="errorbar",width=0.1,colour =
"red", B=2000 )
If yo
On Nov 9, 2011, at 4:30 PM, Ben Bolker wrote:
David Winsemius comcast.net> writes:
On Nov 9, 2011, at 2:59 PM, Nathan Miller wrote:
Hello,
This is a pretty simple question, but after spending quite a bit of
time
looking at "Hmisc" and using Google, I can't find the answer.
If I use stat
On Nov 9, 2011, at 4:35 PM, Nathan Miller wrote:
Sorry, I didn't realize I was being so obscure.
Within ggplot it is possible to use stat_summary() to generate
confidence intervals about a mean. One method for generating these
CI assumes normality. The other uses bootstrapping to generate
Ok, I got it.
smean.cl.boot(x, conf.int=.95, B=1000, na.rm=TRUE, reps=FALSE)
Looks like its 1000.
Cool.
Thanks for the help,
Nate
On Wed, Nov 9, 2011 at 1:35 PM, Nathan Miller wrote:
> Sorry, I didn't realize I was being so obscure.
>
> Within ggplot it is possible to use stat_summary() to g
Sorry, I didn't realize I was being so obscure.
Within ggplot it is possible to use stat_summary() to generate confidence
intervals about a mean. One method for generating these CI assumes
normality. The other uses bootstrapping to generate the CI. I am using the
second method which requires code
On Nov 9, 2011, at 4:10 PM, David Winsemius wrote:
mean_cl_boot
OK. Things do change. Hadley has written a wrapper for some of the
Hmisc functions and you appear to be looking for smean.cl.boot()
(Note that Hadley's functions use "_"'s and Harrells use "."'s. And
this could be found by
David Winsemius comcast.net> writes:
> On Nov 9, 2011, at 2:59 PM, Nathan Miller wrote:
>
> > Hello,
> >
> > This is a pretty simple question, but after spending quite a bit of
> > time
> > looking at "Hmisc" and using Google, I can't find the answer.
> >
> > If I use stat_summary(fun.data="m
On Nov 9, 2011, at 2:59 PM, Nathan Miller wrote:
Hello,
This is a pretty simple question, but after spending quite a bit of
time
looking at "Hmisc" and using Google, I can't find the answer.
If I use stat_summary(fun.data="mean_cl_boot") in ggplot to generate
95%
confidence intervals, h
Hello,
This is a pretty simple question, but after spending quite a bit of time
looking at "Hmisc" and using Google, I can't find the answer.
If I use stat_summary(fun.data="mean_cl_boot") in ggplot to generate 95%
confidence intervals, how many bootstrap iterations are preformed by
default? Can
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