On Tue, Aug 9, 2011 at 9:57 AM, Johannes Egner wrote:
> On Mon, Aug 8, 2011 at 6:44 PM, Gabor Grothendieck
> wrote:
>> On Mon, Aug 8, 2011 at 9:16 AM, Johannes Egner
>> wrote:
>>> Hi,
>>>
>>> I'm removing non-unique time indices in a zoo time series by means of
>>> aggregate. The time series is
On Mon, Aug 8, 2011 at 6:44 PM, Gabor Grothendieck
wrote:
> On Mon, Aug 8, 2011 at 9:16 AM, Johannes Egner
> wrote:
>> Hi,
>>
>> I'm removing non-unique time indices in a zoo time series by means of
>> aggregate. The time series is bivariate, and the row to be kept only depends
>> on the maximum
On Mon, Aug 8, 2011 at 9:16 AM, Johannes Egner wrote:
> Hi,
>
> I'm removing non-unique time indices in a zoo time series by means of
> aggregate. The time series is bivariate, and the row to be kept only depends
> on the maximum of one of the two columns. Here's an example:
>
> x <- zoo(rbind( c(
Hi,
I'm removing non-unique time indices in a zoo time series by means of
aggregate. The time series is bivariate, and the row to be kept only depends
on the maximum of one of the two columns. Here's an example:
x <- zoo(rbind( c(1,1), c(1.1, 0.9), c(1.1, 1.1), c(1,1) ),
order.by=c(1,1,2,
Here is a second solution where dly and year are as in the original
post. The function returns the minimum index and applying that to the
sequence numbers of the days in each year we get a vector of the
indexes of the yearly minimums and then can use that to subscript dly:
f <- function(ix) ix[wh
y[a+b]
plot(dly)
points(annual.min, pch = 19, col = 'red')
-Original Message-
From: Achim Zeileis [mailto:achim.zeil...@uibk.ac.at]
Sent: Thursday, May 13, 2010 12:29 PM
To: Hutchinson,David [PYR]
Cc: r-help@r-project.org
Subject: Re: [R] aggregate.zoo
On Thu, 13 May 2010, Hu
On Thu, 13 May 2010, Hutchinson,David [PYR] wrote:
I have been using aggregate function to determine the annual minimum in
a daily time series. However, I was also hoping to determine the date of
occurrence without having to loop through each year to identify the date
of each minimum returned fr
I have been using aggregate function to determine the annual minimum in
a daily time series. However, I was also hoping to determine the date of
occurrence without having to loop through each year to identify the date
of each minimum returned from aggregate(). Is there a more convenient
way of doin
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