Displaying 4 results from an estimated 4 matches for "otherm".
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2010 Oct 13
1
Wierd nlm behaviour in 2.10.1 and 2.12.0 [Sec=Unclassified]
...hen upgrading to 2.11.1 recently I noticed different results being produced by my code.
After much digging I have finally narrowed it to a call to nlm().
This can be replicated by:
FixedRemovals<-1836180125888
AbStageInitial<-2223033830403
Rates<- 0.3102445
nlm(function(rootM,Abund,Loss,OtherM)
{(Loss-(rootM/(rootM+OtherM)*
(1-exp(-(rootM+OtherM)))*
Abund))^2}
,0.001,print.level=0,fscale=0, gradtol=1E-10, stepmax = 100.0
,Loss=FixedRemovals
,Abund=AbStageInitial
,OtherM=Rates)$estimate
___________________________________________________________________...
2009 Jan 19
2
Autocreate plugin
Hello.
I found what if you have a something like this:
autocreate = Trash
autocreate2 = Sent
autocreate3 = Spam
*Then I delete autocreate2 string* and... autocreate3 will not work.
If I add autocreate2 - all work well.
Yes it is seems to be right what they all must go after each otherm but
if i have a 20 or 30 autocreate folders and i want to delete autocreate2
for example - all other from 3-20 will not work.
For me it is seems like a bug. I think better to remove numbers from
this plugin at all.
--
Best regards,
Proskurin Kirill
2004 Jul 14
1
tcng/tc setup
...class(<$lanhttp>)
if tcp_sport == 80 || tcp_dport == 80
if ip_src == LAN_IP || ip_dst == LAN_IP;
class(<$dmzhttp>)
if tcp_sport == 80 || tcp_dport == 80
if ip_src == DMZ_IP || ip_dst == DMZ_IP;
class(<$http>)
if tcp_sport == 80 || tcp_dport == 80;
class(<$othermed>)
if trTCM_green( $meter);
class(<$otherslow>)
if trTCM_yellow( $meter);
drop if trTCM_red ( $meter);
class(<$otherslow>) if 1;
drop if 1;
htb(){
class ( rate maxadsl, ceil maxadsl){
$ssh = class ( rate medadsl, ceil highadsl) {
$lanssh = class ( rate...
2008 Mar 06
2
Clustering large data matrix
Hello,
I have a large data matrix (68x13112), each row corresponding to one
observation (patients) and each column corresponding to the variables
(points within an NMR spectrum). I would like to carry out some kind of
clustering on these data to see how many clusters are there. I have
tried the function clara() from the package cluster. If I use the matrix
as is, I can perform the clara