Displaying 6 results from an estimated 6 matches for "bentho".
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bento
2004 Jul 21
0
extensions.conf variable declaration
...9;t find the right
combination of words :-(
Thanks
--
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( @ @ )
---oOOo-(_)-oOOo-------------------------------
A compliment is something like a kiss through a veil.
-- Victor Hugo
--------------Oooo-----------------------------
oooO ( ) Benjamin Benthos Lawetz
( ) ) / mailto:benthos@step.polymtl.ca
\ ( (_/ ICQ# 4269530
\_)
2004 Aug 31
0
answer from wrong port
...t; lvs
Thanks for any help
Benjamin
--
\\\|///
\\ - - //
( @ @ )
---oOOo-(_)-oOOo-------------------------------
There are times when truth is stranger than fiction and lunch time is one
of them.
--------------Oooo-----------------------------
oooO ( ) Benjamin Benthos Lawetz
( ) ) / mailto:benthos@step.polymtl.ca
\ ( (_/ ICQ# 4269530
\_)
2004 Oct 06
1
IAX2 to SIP
...yuser/15'
--
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( @ @ )
---oOOo-(_)-oOOo-------------------------------
Most people can't understand how others can blow their noses differently
than they do.
-- Turgenev
--------------Oooo-----------------------------
oooO ( ) Benjamin Benthos Lawetz
( ) ) / mailto:benthos@step.polymtl.ca
\ ( (_/ ICQ# 4269530
\_)
2012 Oct 23
1
Understanding lattice barchart() display
...;,..: 1 1 1 1 1 1 1 1 ...
$ basin : Factor w/ 2 levels "H","O": 2 2 2 2 2 2 2 2 2 2 ...
When I create a bar chart for tclass by stream the resulting bars appear
to have multiple segments (see attached pdf) from this command:
barchart(quant ~ tclass | stream, data = benthos, main = 'Taxonomic
Classes', xlab = 'Class Name', ylab = 'Number/square meter', scales = list(x
= list(rot = 90)))
and I want to understand what the segments represent. I thought the formula
'quant ~ tclass' would produce one bar per class. I cannot find the answer...
2011 Sep 13
1
mvpart analyses with covariables
...ks fine -
ABUNDTMRT <- mvpart(abundance ~
.,factors,margin=0.08,cp=0,xv="1se",xval=nrow(abundance),xvmult=100,which=4)
where abundance is 4th root transformed fish abundance (103 species x 168
samples), and factors is the relief (high, medium, low profile, sand
inundated reef, flat), benthos (coral, sessile inverts, kelp, macroalgae,
seagrass, sand), depth (continuous in meters), latitude, and longitude of
each sample.
To try and incorporate spatial autocorrelation (as a covariate) into this I
have been trying the command -
ABUNDTMRT <- mvpart(abundance ~ environ + spatial,
data....
2005 Sep 21
2
Get SIP to work over very limited network access
I've got a friend who's spending 6 months on the other side of the world. So
before he left I configured him a softphone on his laptop to connect to my
asterisk so he can call home free of charge.
Unfortunately, he just found out he has horrible internet connection.
Bandwith and latency is ok, the problem is the stop almost all connections.
He has to connect to a proxy server for his web