Displaying 6 results from an estimated 6 matches similar to: "Plot/manage spatial boundary data"
2007 Mar 30
0
problem using mcmcsamp() with glmer models containing interaction terms in fixed effects
Dear All,
I've been using mcmcsamp() successfully with a few different mixed models
but I can't get it to work with the following. Is there an obvious reason
why it shouldn't work with a model of this structure ?
*brief summary of objective:
I want to test the effect of no-fishing marine reserves on the abundance of
a target species.
I have samples at coral reef sites inside and
2004 Jan 27
2
Probability for ANOVA
Hi all!
I have 4 treatments on 5 animals
Treat1 Treat2 Treat3 Treat4
Animal1 36 37 35 39
Animal2 33 34 36 37
Animal3 37 35 33 38
Animal4 34 36 34 35
Animal5 35 36 33 36
I use an Anova and i try to verify calcul
So i retrieve:
DF SS
2004 Sep 28
0
H323 dropping connections
FC2 Asterisk 1.0
When I dial a H323 dialup to an existing OKI Voip Router (BV1250), I get
an EndedByRefusal yet the OKI Gateway is setup with the corrent reply ip
addresses etc etc, unfortunately its an existing multiple voip router
setup with g723.1 and g729a, so changing the codec on the router maybe
an issue.
I have compile in the h323 as per the channels/h323 setup with the
listed libraries.
2001 May 09
0
Coplot
When I use the hills data in Maindonald's text (below) and apply
coplot(time ~ distance | climb, data=hills, overlap=0.0, number=3)
the graphs do not appear to line up with the conditional axis climb.
Is this a bug or am I missing something as an R newbie?
Thanks,
Bob Abugov
distance climb time
Greenmantle 2.5 650 16.083
Carnethy 6.0 2500
2012 May 04
7
Breaking up a Row in R (transpose)
I have the following:
Time A1 A1 B1 B1 C1 C2
x y x y x y
0 5 6 6 7 7 9
1 3 4 4 3 9 9
2 5 2 6 4 7 4
I want to change it to the following:
0 1 2
x y x y x y
A1 5 6 3 4 5 2
B1
2013 Apr 22
7
Multiple lon lat points in the map with ggplot2
Hello R users,
For the last few days I am struggling with the following task:
my data.frame:
A1 A2 A3 B1 B2
B3
58.81 53.292 54.501 13.013 17.39 19.407 56.02 56.251 54.033 20.099 13.15
10.411 55.376 53.099 57.625 13.396 21.031 13.22 58.584 53.194 54.218
13.038 16.854 19.289 55.7 55.921 53.847 19.942 13.153 9.828 55.093 52.934