From ?termplot:
col.se, lty.se, lwd.se: color, line type and line width for the
‘twice-standard-error curve’ when ‘se = TRUE’.
...which is findable, but might usefully also be made explicit in the
definition of the se= argument.
-pd
> On 10 Jan 2018, at 23:27 , Eric Goodwin <eric.good...@cawthron.org.nz> wrote:
>
> Thanks for your prompt reply Duncan.
>
> I had indeed assumed they were what the help file says until observation
> raised doubts, which is why I queried it.
>
> From reading the code for termplot(), it seems that either the predict()
> function doesn't return the 1x standard error, or the curves plotted by the
> termplot() function are not 1x standard errors. If they're not 1x standard
> errors, it seems misleading to call them (e.g. in the help file) "standard
> errors".
>
> The "se.fit" returned by a call in termplot() to predict() is multiplied by 2
> (in termplot's function se.lines()) before it is plotted as a curve described
> as "standard errors" by the help file.
>
> Thus, again, it seems that either termplot() is not plotting standard errors,
> or predict() is not returning standard errors in se.fit.
>
> Cheers,
>
> Eric
>
> -----Original Message-----
> From: Duncan Murdoch [mailto:murdoch.dun...@gmail.com]
> Sent: Wednesday, 29 June 2016 12:02
> To: Eric Goodwin <eric.good...@cawthron.org.nz>; r-help@R-project.org
> Subject: Re: [R] termplot intervals - SE or CI?
>
> On 28/06/2016 4:53 PM, Eric Goodwin wrote:
>> Hello,
>>
>> A reviewer queried what the intervals were on the termplot I provided in a
>> report. The help file for termplot() suggests they're standard errors
>> (se=T), but in the code the se.fit values from predict() are multiplied by
>> 2, suggesting it's a rough 95% confidence interval, is that right?
>
> I would assume they are what the help file says, but if I wasn't sure, I'd
> work them out for a simple case from first principles, and compare to what
> the code gives.
>
> Duncan Murdoch
>
>
>> Many thanks,
>>
>> Eric Goodwin
>> Scientific data analyst | Coastal and Freshwater Group Cawthron
>> Institute Phone +64 (0)3 548 2319 | Mobile 027 439 1141
>> eric.good...@cawthron.org.nz<mailto:eric.good...@cawthron.org.nz> |
>> www.cawthron.org.nz<http://www.cawthron.org.nz/>
>>
>>
>> ######################################################################
>> ###############
>>
>> Note:
>> This message is for the named person's use only. It=2...{{dropped:30}}
>
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--
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