Dear Fellows,
I´m sorry if my question is very basic, but I'm still new in the field of R
and the GLMM.
I have made a following glmm, and I need to plot the predicted mean values
from the model and the CI, with this barplot +/- the CI, using the prey as
explanatory factor.
Although I have been
Use an internet search engine.
The one I used told me that the book "Statistics and Data with R: An
Applied Approach Through Examples" by Yosef Cohen, Jeremiah Y. Cohen
contains a function definition of nqd in section 1.11.4.
Best,
Uwe Ligges
On 06.08.2015 23:31, kle...@sxmail.de wrote:
H
Hi,
I had a similar problem running the 32-bit version of 3.2.0 on Windows 8.1.
For me the problem was user permissions. I re-ran the R program as an
administrator rather than a user and it now installs packages just fine.
Cheers,
Andy
--
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http://r.789695.n4.nab
Hello all,
I am doing some Bonferroni correction analyses with R.adjust function. I
have a spreadsheet with 24 columns, each with 5 values. When I use the "holm"
method, it gives me adjusted figures for all the original values except from
the ones in the 4th row of each column. I mean, the
Dear all,
I need to estimate the coefficients of an APARCH that fits some dataset.
I have found to functions :
* garchFit(formula=~aparch(1,1),...) from the fGarch package
* GSgarch.FitAIC(mMAX = 0, nMAX = 0, pMAX = 1, qMAX = 1, ...) from the
GEVStableGarch package
The problem is that they gave
I have an xml file like this:
http://www.opengis.net/kml/2.2";>
sql_statement
2013/11/16 00:02:16
2013/11/16 00:02:16
70.3
65562
3.611564270451177,39.118047789677419
I'm able to read the x
Hi,
Thank you for your answer. However, I think you misunderstood my problem.
The data and fit I provided are just here to illustrate 2 points:
- I have few raw data
- and a fitted model I want to represent.
It is a simulated dataset, no more, which match to my requirement: a non
linear response,
Dear all,
I encountered a problem when running survfit using a coxph model that
contains an interaction with a strata variable (see the attached
example). I hope this is the right place to report problems.
> source("~/survfit-example.R")
Error in scale.default(x2, center = xcenter, scale = FA
Hello everyone!I had to notice that it is better to be curious about packages
and functions contained therein, as I (yet new to R) recognised that there is a
number of 'convenient' R packages simplifying and possibilitating a lot. At the
moment, I have 'retrofitted' (install packages not deliver
Hi,
I'm working on a way to predict the electricity consumption of electrically
heated buildings as a function of outdoor air temperature. I've identified a
three-segment linear model as a candidate for a good fit, with the slope of
the center section constrained to zero. I'm working with the segm
Boris:
You may be right, but it seems like esp to me based on the op's
non-description of likelihood of coming from the same noisy process. My
response would be: seek local statistical help, as your replies indicate a
good deal of statistical confusion.
Cheers,
Bert
On Thursday, August 6, 2015
I find this type of lattice graph to be much easier to create via the
use of layers in the latticeExtra package. See the "carmer.density"
dataset example in the "agridat" package, which shows the use of
layers. It doesn't have "groups", but it is not too hard to add a
groups argument to a layer a
You are looking for what is known as the "Cayley distance" between vectors - an
edit distance that allows only transpositions. RSeek mentions PerMallows
(https://cran.r-project.org/web/packages/PerMallows/PerMallows.pdf) and
Rankluster
(https://cran.r-project.org/web/packages/Rankcluster/Rankcl
https://github.com/hadley/adv-r is how it was done.
On Thu, Aug 6, 2015 at 8:33 AM, Bert Gunter wrote:
> I would have thought that the first place to look was R Studio support
> site. You will find a lot of (Imo well done) docs there as well as links to
> Hadley's and Yihui's books and online doc
> On 06 Aug 2015, at 18:08 , peter dalgaard wrote:
>
>>
>> Except when it doesn't: "It is intended to have a final patch release
>> of the previous version shortly before the next major release."
>
> Argh. Needs fixing... :-p
>
Done.
(Of course, by the canonical definition of "major", Maci
> On 05 Aug 2015, at 22:47 , Duncan Murdoch wrote:
>
> On 05/08/2015 4:36 PM, peter dalgaard wrote:
>>
>>> On 05 Aug 2015, at 20:32 , Duncan Murdoch wrote:
>>>
>>> On 05/08/2015 2:15 PM, Jeff Newmiller wrote:
So 3.1.3 to 3.2.0 was a major release?
>>>
>>> Yes. We do have the oddity (se
A quick internet search for
R version history
yielded this page
https://cran.r-project.org/bin/windows/base/old/
Jean
On Wed, Aug 5, 2015 at 4:55 AM, Djossè Parfait
wrote:
> Good morning,
>
> I would like to know how often per year is a new full version release of R.
>
>
>
> Thanks
>
> On 6 Aug 2015, at 15:40, Bert Gunter wrote:
>
> Define "goodness of match" . For exact matches, see ?"==" , all.equal, etc.
Fair point. I would define it as a number that tells me how likely it is that
the same (noisy) process produced both lists.
BW
F
>
> Bert
>
> On Thursday, Aug
Define "goodness of match" . For exact matches, see ?"==" , all.equal, etc.
Bert
On Thursday, August 6, 2015, Federico Calboli
wrote:
> Hi All,
>
> let’s assume I have a vector of letters drawn only once from the alphabet:
>
> x = sample(letters, 15, replace = F)
> x
> [1] "z" "t" "g" "l" "u"
I would have thought that the first place to look was R Studio support
site. You will find a lot of (Imo well done) docs there as well as links to
Hadley's and Yihui's books and online docs.
Bert
On Wednesday, August 5, 2015, Glenn Schultz wrote:
> Hello All,
>
> I have finished my first R pack
Hi All,
let’s assume I have a vector of letters drawn only once from the alphabet:
x = sample(letters, 15, replace = F)
x
[1] "z" "t" "g" "l" "u" "d" "w" "x" "a" "q" "k" "j" "f" "n" “v"
y = x[c(1:7,9:8, 10:12, 14, 15, 13)]
I would now like to test how good a match y is for x. Obviously I can
Hi All,
The current process which I am doing:
1. Reading Unstructured data, Understand what text means what. e.g. a
phrase like "JOHN SMITH" this is a customer name. or a phrase like "CLAIM
DURATION" is a reason type field. Currently, doing this manually (no issue over
here).
2.
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