ucchange)
bp <- breakpoints(a ~ ix, h = 4)
bp
Optimal 3-segment partition:
Call:
breakpoints.formula(formula = a ~ ix, h = 4)
Breakpoints at observation number:
7 11
Corresponding to breakdates:
0.3684211 0.5789474
plot(a ~ ix)
lines(ix, fitted(bp))
On Wed, Apr 22, 2009 at 7:27 A
Hans-Henning Gabriel wrote:
Hi,
suppose I have a simple sorted vector like this:
a <- c(2,3,3,5,6,8,8,9,15, 25, 34,36,36,38,41,43,44,44,46);
Is there a function in R, I can use to discover that from index 8
to index 11 the values are changing significantly?
The function should retur
Hi,
suppose I have a simple sorted vector like this:
a <- c(2,3,3,5,6,8,8,9,15, 25, 34,36,36,38,41,43,44,44,46);
Is there a function in R, I can use to discover that from index 8 to
index 11 the values are changing significantly?
The function should return a value pointing to one of the indic
5, 1, 6,
> 1), .Dim = c(2L, 9L))
> tapply(x[2,],x[1,],sum)
> #2 3 4 5 6
> #2 2 7 3 1
>
> HTH,
>
> Jorge
>
>
> On Tue, Apr 7, 2009 at 11:06 AM, Hans-Henning Gabriel
> > wrote:
> Hi,
>
> my problem is as follows:
>
> I have a matrix of tw
Hi,
my problem is as follows:
I have a matrix of two rows like this:
2 2 3 4 4 4 5 5 6
1 1 2 1 3 3 2 1 1
Can I apply something like "group by" in sql? What I want to achieve
is the some of second row for each unique entry of first row:
2 -> 2 (=1+1)
3 -> 2
4 -> 7 (=1+3+3)
5 -> 3 (=2+1)
6 -
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