Hi,
> I first thought that this p=103 was the error, however I did the following:
>
>wnew <-W[-1,]
You need to remove one row AND one column to have a 102x102 matrix. In the code
above you are just removing one row. I believe that the error is there. But you
should check why you W is
I will try to handle any other replies off-list to keep the list
on-topic, but wanted to reinforce my opine on this topic. My co-author
& I believed so strongly in the need to ensure R & R package author
work was properly acknowledged that we managed to get Wiley to allow 2
pages of package
Bob opens up an interesting topic, perhaps not really fit for this mailing
list, of which packages to cite. Most packages load dependencies. Should
these dependencies be cited? How do you handle this issue in citing
packages?
Cheers,
Roman
On Thu, Apr 21, 2016 at 1:29 PM, boB Rudis
Agreed it was great to see "Each of the 300 individual models was
fitted using the gbm.step subroutine in the dismo package in the R
statistical programming environment (Elith et al. 2008)" in there and
also agreed that the following should have made it into the citations
(assuming only
On Thu, 21 Apr 2016, t...@gmx.ch wrote:
Hello
I would like to reproject a SpatialPixelsDataFrame, changing the CRS. I am
trying to use the command "spTransform" from the package "sp". Unfortunately,
the command results in a SpatialPointsDataFrame, which is not desired. My
Hello
I would like to reproject a SpatialPixelsDataFrame, changing the CRS. I
am trying to use the command "spTransform" from the package "sp".
Unfortunately, the command results in a SpatialPointsDataFrame, which is
not desired. My SpatialPixelsDataFrame has proj4string
+init=epsg:21781
On Thu, Apr 21, 2016 at 8:19 AM, Roger Bivand wrote:
> Why we do what we do:
>
> Congratulations to Robert Hijmans and others maintaining the dismo package:
>
> https://cran.r-project.org/web/packages/dismo/index.html
>
> which is the computational basis for:
>
>
Good day everyone.
I have been trying to conduct a Spatial Autoregressive probit model in R.
To do so, I added the shapefile (points) that contains all my information
into R, and from it I constructed the spatial weighted matrix by specifying
k=3 nearest neighbors.
tbe <-
Why we do what we do:
Congratulations to Robert Hijmans and others maintaining the dismo
package:
https://cran.r-project.org/web/packages/dismo/index.html
which is the computational basis for:
http://elifesciences.org/content/5/e15272v1
and reported on in: