roblem, so thanks very
much for your help!
Best wishes,
Louise
-Original Message-
From: Roy Mendelssohn - NOAA Federal [mailto:roy.mendelss...@noaa.gov]
Sent: den 22 april 2016 17:31
To: Louise Mair
Cc: r-help@r-project.org; David W. Pierce
Subject: Re: [R] Unexpected values obt
Dear R Users,
I am encountering a problem when reading nc files into R using the ncdf and
ncdf4 libraries. The nc files are too large to attach an example (but if
someone is interested in helping out I could send a file privately via an
online drive), but the code is basic:
for(i in 1:length(t
Hello,
I am trying to carry out a phylogenetic autoregression to test whether my
data show a phylogenetic signal, but I keep calculating bizzare R-squared
values.
My script is:
> library(ape)
> x <-
"R:1,GK:1)d:1,(MW:1,G:1)n:1)a:1,SPW:1)a:1,WB:1)b:1,(((SPBF:1,PBF:1)n:1,(HBF:1,SWF:1)c:1)
Hello,
I have a distribution dataset for species consisting of xy coordinates at
the 1km resolution, with only presence data. So a simplified example of a
species distribution might be:
y <- rbind(as.integer(rnorm(100,50,20)), as.integer(rnorm(200,100,30)),
as.integer(rnorm(100,180,15)))
x <- rbi
Hello,
I am trying to fit gamma, negative exponential and inverse power functions
to a dataset, and then test whether the fit of each curve is good. To do
this I have been advised to calculate predicted values for bins of data (I
have grouped a continuous range of distances into 1km bins), and the
Hello,
I am working with a dataset which essentially has only one column - a
list of distances in metres, accurate to several decimal places. eg
distance
1000
6403.124
1000
1414.214
1414.214
1000
I want to organise this into a frequency table, grouping into categories
of 0 - 999, 1000 - 199
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