Hi Sarah,
Thank you for pointing out this. I am using Mac.
Suy
On Thu, Oct 4, 2018 at 1:23 PM Sarah Goslee wrote:
> Hi Suy,
>
> It is very important to specify what OS and version of R you're using.
>
> But I'm going to make a wild guess that you're using Mac, and that you
> didn't read the do
Hi Ivy,
try this:
k <- 0
i <- 1
while((k*12+13) <= ncol(Sent2Field2@data) {
i <- k+1
n <- paste("Sent2Field2",i, sep="_")
assign(n, Sent2Field2@data[,c(1,k*12+c(2:13))])
k <- k+1
}
Best,
Albrecht
--
Albrecht Kauffmann
alkau...@fastmail.fm
Am Fr, 5. Okt 2018, um 16:30, sc
In addition to using plain text format when you post, please try to create a
complete minimal example [1][2][3] that sets up a representative set of the
variables you are using because the behavior of functions can change depending
on what kind of data you are working with. For instance, so you
Bert (in his separate email) is right about learning the basics, and using
R-sig-geo. You're kind of jumping right into the deep end! None the less,
here's an example that should help.
For one thing, you're being more complicated than necessary.
SpatialPointsDataFrame objects can, much of the t
Two things:
1. As your query is about spatial data, you may do better posting (in plain
text, **not** html, which often gets mangled on these plain text lists) on
the r-sig-geo list.
2. These lists can help, but do not replace, your obligation to do your own
homework. There are many good R tutor
Hey there,
I am very much a newbie in the R world. I have to work with R for my
internship. I really hope that someone can help me out here, since it costs me
ages to run and adjust the same script over and over again.
I have a SpatialPointsDataFrame table (sent2field2@data) that I would like t
This list is about R programming. Statistics questions, which this is, are
generally off topic here. Try posting on a statistics list like
stats.stackexchange.com instead.
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it.
Nope.
This IS a bug:
_*The negative auto-correlation mostly disappear when I randomize small
samples using the R function '*__*sample*__*'.*_
Please check thoroughly the code of the 1st mail I sent, there should be
no difference between the two R functions I wrote to illustrate the bug.
I got it !
thanks and sorry for annoying you with that.
have a nice day,
hugo
On 05/10/2018 11:16, Deepayan Sarkar wrote:
> On Fri, Oct 5, 2018 at 2:07 PM hmh wrote:
>> On 05/10/2018 10:28, Annaert Jan wrote:
>>> you discard any time series structure;
>> But that is PRECISELY what a call a
On Fri, Oct 5, 2018 at 2:07 PM hmh wrote:
>
> On 05/10/2018 10:28, Annaert Jan wrote:
> > you discard any time series structure;
> But that is PRECISELY what a call a bug:
> There should not be any "time series structure" in the output or rnorm,
> runif and so on but there is one.
>
> rnorm(N,0,1)
Greetings.
I would adjust approach to calculate standardized estimates for each
imputed set. Then summarize them . The way you are doing it here implies
that standardization concept applies to model list, which seems doubtful.
The empirical std. dev. of the variables differs among imputed data set
Hello,
I am currently analysed two nested models using the same sample. Both the
simpler model (Model 1 ~ x1 + x2) and the more complex model (Model 2 ~ x1 + x2
+ x3 + x4) yield the same adjusted R-square. Yet the p-value associated with
the deviance statistic is highly significant (p=0.0047),
On 05/10/2018 10:28, Annaert Jan wrote:
> you discard any time series structure;
But that is PRECISELY what a call a bug:
There should not be any "time series structure" in the output or rnorm,
runif and so on but there is one.
rnorm(N,0,1)
should give on average the same output as
sample(rnorm(N
On 05/10/2018, 09:45, "R-help on behalf of hmh" wrote:
Hi,
Thanks William for this fast answer, and sorry for sending the 1st mail
to r-help instead to r-devel.
I noticed that bug while I was simulating many small random walks using
c(0,cumsum(rnorm(10))). The
Hi,
Thanks William for this fast answer, and sorry for sending the 1st mail
to r-help instead to r-devel.
I noticed that bug while I was simulating many small random walks using
c(0,cumsum(rnorm(10))). Then the negative auto-correlation was inducing
a muchsmaller space visited by the random w
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