A few years ago R changed the way help was handled so that the HTML
files are no longer available in the library directory. Around that
time the R example files that used to be in some of the libraries also
vanished.
I'm wondering where the "r-ex" folder went. Is it totally unsupported
and gone?
Apparently it matters whether your polygon is defined clockwise or
counterclockwise.
A point outside your triangle is recognized ...
> q2 <- matrix(c(594893.0,115435.0), ncol=2, byrow=T)
> pip2d(Vertices = verts, Queries = q2)
[1] 1
... and defining the triangle in counterclockwise sense gives
Hi,
pip2d() doesn't seem to work correctly for me. I have a plot of a triangle
that a query point fits inside, but the point is defined as outside the polygon
by pip2d.
library(ptinpoly)
verts <- matrix(c(594891,115309,59,117201,594891,117201), ncol=2, byrow=T)
query <- matrix(c(594885.0
On Apr 18, 2014, at 12:59 PM, Prof Brian Ripley wrote:
> On 18/04/2014 19:46, Rui Barradas wrote:
>> Hello,
>>
>> The reason why is that you've misspelled CET (not CEST)
>
> Neither CET nor CEST are portable time-zone names. We have not been given
> the 'at a minimum' information required by
On 18/04/2014 19:46, Rui Barradas wrote:
Hello,
The reason why is that you've misspelled CET (not CEST)
Neither CET nor CEST are portable time-zone names. We have not been
given the 'at a minimum' information required by the posting guide, so
please read ?Sys.timezone on your system.
Hello,
The reason why is that you've misspelled CET (not CEST)
> dt1 = as.POSIXct("2014-04-18 09.00", format="%Y-%m-%d %H.%M", tz =
"CEST")
Warning messages:
1: In strptime(x, format, tz = tz) : unknown timezone 'CEST'
2: In as.POSIXct.POSIXlt(as.POSIXlt(x, tz, ...), tz, ...) :
unknown timez
How are we supposed to know what you are capable of? Regardless of the answer
to that, I strongly suspect that you would not find that the effort required
would yield a result worth your effort. R is really an interpreted language, so
your ".exe" would just be calling the R interpreter for you..
Hi.
I am new to POSIX and I'd like to understand the reason of this difference.
dt1 = as.POSIXct("2014-03-29 09.00", format="%Y-%m-%d %H.%M")
dt2 = as.POSIXct("2014-03-30 09.00", format="%Y-%m-%d %H.%M")
dt2-dt1
> dt1[1] "2014-03-29 09:00:00 CET"> dt2[1] "2014-03-30 09:00:00 CEST"> dt2-dt1
Time
Can I convert above code into .exe?
On Fri, Apr 18, 2014 at 4:53 PM, Muhammad Abdur Rehman Khawaja <
kh.m.a.reh...@gmail.com> wrote:
> Thank you very much
>
>
>
>
>
> On Thu, Apr 17, 2014 at 4:31 AM, Paul Murrell wrote:
>
>> Hi
>>
>> Here is a demonstration that might give you some ideas ...
>>
Thank you very much
On Thu, Apr 17, 2014 at 4:31 AM, Paul Murrell wrote:
> Hi
>
> Here is a demonstration that might give you some ideas ...
>
> library(grImport)
> PostScriptTrace("flower.ps", "flower.xml")
> flower <- readPicture("flower.xml")
>
> grid.newpage()
> grid.picture(flower)
>
> #
Hi,
I have been using the mediation package in R to test for mediation in
multilevel data.
My data is as follows:
X: continuous, M: binary, and Y: binary (Y:outcome, M: mediator)
I'm testing a 1-1-1 mediation.
I get different results when I use random slopes in the equations and when
I don't. My
Hi everyone,
I have fitted a poisson GLMM with the fallowing formula:
M1 <- glmer(ID ~ DE + PR +(1 | Plot/Site), data = DATA, family = poisson)
where ID = my dependent variable representing the count of a bird speciesDE =
bush height (independent variable)PR = number of preys (independent variable
Hi All!
I have a data frame consisting of categorical variables on which I wish to
perform kmode clustering with 20 clusters.
I am trying to use Kmodes from R package klaR.
The code works fine when I set use simple distance for clustering by
setting weighted=FALSE in the function kmodes. However i
On 18.04.2014 13:02, petre...@unina.it wrote:
> Prof. Dewey, sorry for the trivial question and many thank for the replay.
>
>
>> Using which package?
>
> In this case I used the meta package, but I know that for all but the
> DerSimonian-Laird method the R function rma.uni of R package metafor
On 18/04/14 15:13, thanoon younis wrote:
dear all members
i want to use inverse normal distribution in R to show the value of
variable Z when Z represent the ordered categorical variables. i hope
anyone gives me an example on this distribution
(1) Your question makes no sense. The normal dist
Prof. Dewey, sorry for the trivial question and many thank for the replay.
> Using which package?
In this case I used the meta package, but I know that for all but the
DerSimonian-Laird method the R function rma.uni of R package metafor is
called internally.
> What did you expect the weights to
On Thu, 17 Apr 2014, Katharina Mersmann wrote:
This post was nearly what I was searching for.
Im actually trying to reproduce my Stata results in R and don?t overcome
the problem of the NeweyWest Estimators. I have quarterly PanelData
In Stata i used:
newey y x, lag(4) force
In R this shou
dear all members
i want to use inverse normal distribution in R to show the value of
variable Z when Z represent the ordered categorical variables. i hope
anyone gives me an example on this distribution
.
thanks to all
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