> On 25 Jun 2016, at 16:13 , Gonçalo Ferraz wrote:
>
> PROBLEM: the sum of the probabilities in lpvec should be <=1, but it is not.
> The sum is something on the order of 1.48e-13.
Um, in which sense is 1.48e-13 not <=1 ???
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Bus
Is there a function that will run a model appropriate for over dispersed data
(such as a negative binomial or quasipoisson)
with a random effects (or mixed effects) model in R? GLMER will not accept:
family=quasipoisson(link="log") or
family=negbinomial(link="log")
I want to run something lik
> On Jun 25, 2016, at 4:24 PM, Shivi Bhatia wrote:
>
> Hi David,
>
> I tried as suggested however with this code:
> Age11<- cut(desc$Age, breaks = c(-Inf, 20,30,40,Inf),labels =
> c("Low","Mid","Top"))
Read the error message and add in another item to the 'labels' vector. Perhaps:
c( "<=
Floating point numbers are rounded to 53 significant bits. When you
use logs of integers you are using
floating point numbers.
> .3 + .6 == .9
[1] FALSE
> (.3 + .6) - .9
[1] -1.110223e-16
See FAQ 7.31 for more discussion.
On Sat, Jun 25, 2016 at 10:13 AM, Gonçalo Ferraz wrote:
> Hi,
>
> I am w
Hi David,
I tried as suggested however with this code:
Age11<- cut(desc$Age, breaks = c(-Inf, 20,30,40,Inf),labels =
c("Low","Mid","Top")) i receive an error message as below:
lengths of 'breaks' and 'labels' differ. Now as a result i have values
exceeding 40 as N/A.
On Sun, Jun 26, 2016 at 3:25
Hi,
I am working on interactions between animals, studying whether animal 1 is
attracted to animal 2 (or vice-versa). I looked for the two animals in N=2178
sampling occasions, finding animal 1 a total of N1=165 times, and animal 2 a
total of N2=331 times. In J=97 occasions, I saw both animals
> On Jun 25, 2016, at 12:05 PM, Shivi Bhatia wrote:
>
> Dear Team,
>
> Please see the code below:
>
> Age1<- cut(desc$Age, breaks = c(20,30,40,Inf),labels = c("Low","Mid","Top"))
Try instead:
Age1<- cut(desc$Age, breaks = c(-Inf, 20,30,40,Inf),labels =
c("Low","Mid","Top"))
Do note that va
This is identical to the question that you previously asked and you
still have not addressed the problem of making your example *reproducible*.
cheers,
Rolf Turner
On 26/06/16 01:52, T.Riedle wrote:
Dear all,
I am trying to run the seas() function. If I run the seas() function as shown
be
On 26/06/16 07:05, Shivi Bhatia wrote:
Dear Team,
Please see the code below:
Age1<- cut(desc$Age, breaks = c(20,30,40,Inf),labels = c("Low","Mid","Top"))
here i am creating three categories as mentioned from the age var from desc
data set.
All the values are set correctly however the values whi
On Sat, 25 Jun 2016, Rolf Turner wrote:
On 25/06/16 09:13, Jeff Newmiller wrote:
This is like asking, "My car doesn't work. Can anyone tell me what is
wrong?"
Fortune nomination!
On R-Forge now.
Z
cheers,
Rolf
--
Technical Editor ANZJS
Department of Statistics
University of Aucklan
Dear Team,
Please see the code below:
Age1<- cut(desc$Age, breaks = c(20,30,40,Inf),labels = c("Low","Mid","Top"))
here i am creating three categories as mentioned from the age var from desc
data set.
All the values are set correctly however the values which are below 20 are
set to NA.
Is there a
Dear all,
I am trying to run the seas() function. If I run the seas() function as shown
below I get following errors. What is wrong with my code?
> data<-Shiller_data[,2]
> ts<-ts(data,start=c(1871, 01), end=c(2015, 12), frequency=12)
> ts
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