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, irishmhw wrote:
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, 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:
$ bootdataframe.age: num 1.46e-09 1.67e-09 1.46e-09 1.45e-09
1.37e-09 ...
I'm pretty sure you cannot send an entire dataframe to quantile.
Pretty sure you need to give a vector argument. So what happens when
you try:
exp_CIs <- quantile( spread$bootdataframe.age,
probs=c(0.01,0.05,0.95,0.99) )
--
David Winsemius
Heritage Labs
typeof(spread)
[1] "list"
class(spread)
[1] "data.frame"
David Winsemius wrote:
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
where it is being called.
--
David Winsemius
Heritage Labs
On Nov 13, 2008, at 3:29 PM, irishmhw wrote:
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 bootstrap portion of the code that is working fine
it is
just
determining everything for the more complicated model, not even
sure
what
the error is telling me.
spread <- expntl.dr(plot_k_list,pdose)
exp_CIs <- quantile(spread,probs=c(0.01,0.05,0.95,0.99))
Error in order(list(bootdataframe.age = c(1.56064428047387e-09,
1.63862234892065e-09, :
unimplemented type 'list' in 'orderVector1'
I am not sure if this is problem with the quantile command
trying to
order
the data or if the values in the spread are too close together.
Thank you for any assistance you can offer.
Mark
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