I should also point out that the .01 and .99 quantiles for a set that
only has 18 elements are not particularly meaningful results. And even
the .05 and .95 ones are pretty suspect. You may be getting numbers,
but what do they mean?
--
David Winsemius
On Nov 14, 2008, at 9:33 AM, irish
That worked the charm, the line that you suggested age me a bad atomic number
error but I just assigned the spread$bootdataframe.age to a new vector and
it works great. Thanks you have been a great help. Best in all to you and
yours.
David Winsemius wrote:
>
>
> On Nov 13, 2008, at 7:56 PM
On Nov 13, 2008, at 7:56 PM, irishmhw wrote:
>
> This is strange the first function that I am doing this for is
> saying in the
> typeof() is a double for some reason this is coming up as a list.
Well, dataframes _are_ lists.
>
>> str(spread)
> 'data.frame': 18 obs. of 1 variable:
> $ boot
This is strange the first function that I am doing this for is saying in the
typeof() is a double for some reason this is coming up as a list.
> str(spread)
'data.frame': 18 obs. of 1 variable:
$ bootdataframe.age: num 1.46e-09 1.67e-09 1.46e-09 1.45e-09 1.37e-09 ...
> typeof(spread)
[1] "
Please show us what you get when you execute:
str(spead)
typeof(spread)
class(spread)
It is doubtful that either of your theories is correct. It's more
likely that spread is a more complex object than you realize. We need
to know what spread looks like to the R interpreter in the environment
If anyone can assist with this problem you have my great thanks:
I am trying to establish and plot confidence intervals on a bootstrapped
function. I have a more complicated function that has no problems with
determining the confidence intervals using the quantile command. This is
outside the b
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