Dear Craig,
It is better to ask questions about lme4 at r-sig-mixed-models (in cc).
Are you using a recent version of lme4? Try upgrading lme4 and see if you still
get the error.
Best regards,
Thierry
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
I am using a mixed model to assess the effects of various variables (i.e.
treatment, density, visibility) on bee behavior (e.g., avoidance frequency -
total avoidances per total visits; feeding frequency, and mating frequency).
Bee individuals is my random factor (n=63 different bees), whereas
Hi Luigi
Here are 2 ways of doing it.
The first is a "cheats" way ie easy.
The second is a substitute for the proper way who's code eludes me at the
moment. I changed the lty on the ablines as it appears confusing and as you
are bolding it seems more appropriate. A better way may be to change
Many thanks Guys!
Amarjit
From: Prof Brian Ripley
To: amarjit chandhial ; "r-help@r-project.org"
Sent: Sunday, 27 April 2014, 11:29
Subject: Re: [R] time when packages installed
On 27/04/2014 10:50, Duncan Murdoch wrote:
> On 27/04/2014, 4:14 AM,
Dear Martin, Arne, David,
Thanks for considering my problem. However, I have a bit of a problem in making
a small reproducible example. So far, I tried to drill down into the code and
to quick fix this by setting the particular tolerance to zero which switches
off the check in ".solve.sparse.dg
please help me and correct why this program give me error
bcos I want to apply the condition follow the attached below
# program (R) used estimate beta of robust ridge (weighted stacklose)
rm(list=ls())
library(MASS)
library(mvoutlier)
library(robustbase)
library(car)
library(quan
On 27-04-2014, at 11:01, Berend Hasselman wrote:
>
> On 27-04-2014, at 02:37, Nico Met wrote:
>
>> Dear all,
>>
>> I have a matrix (dimension, 16 x 12) where 2nd column represents class
>> (1,1,1,1,1,2,2,2, etc) information. I want to estimate average and median
>> values for each of the c
Hi,
You could also try:
library(plyr)
fun1 <- function(data, .group) {
f1 <- function(x) c(x, mean(x, na.rm = TRUE), median(x, na.rm = TRUE))
res <- ddply(data, .group, sapply, FUN = f1)
vec1 <- as.vector(table(res[, .group]))
indx <- sort(c(cumsum(vec1) - 1, cumsum(vec1)))
Un
On 27/04/2014 10:50, Duncan Murdoch wrote:
On 27/04/2014, 4:14 AM, amarjit chandhial wrote:
Is there a way in R to list the packages I installed by date ?
Or to list the packages I installed in the last n days ?
R doesn't record that itself, but your OS probably does.
It must do. So see
On 27/04/2014, 4:14 AM, amarjit chandhial wrote:
Is there a way in R to list the packages I installed by date ?
Or to list the packages I installed in the last n days ?
R doesn't record that itself, but your OS probably does.
Duncan Murdoch
__
R
On 27-04-2014, at 02:37, Nico Met wrote:
> Dear all,
>
>
>
> I have a matrix (dimension, 16 x 12) where 2nd column represents class
> (1,1,1,1,1,2,2,2, etc) information. I want to estimate average and median
> values for each of the class and add this information as a row at end of
> the ea
Is there a way in R to list the packages I installed by date ?
Or to list the packages I installed in the last n days ?
Amarjit
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