similar to: Using R for classifying new samples

Greetings hello sir i read your idea lists and they were of my interests. i wanted to know what i have to do as in how to approach you with my idea on the same and discuss with you hope to hear from you soon Regards Manav -------------- next part -------------- An HTML attachment was scrubbed... URL:

AF_E PS_E 90.838 2.206 83.139 1.751 134.272 3.710 84.043 2.076 105.184 2.788 157.249 3.783 50.280 1.027 96.973 2.355 123.582 3.398 60.417 1.236 123.501 3.315 90.128 1.566 193.783 5.167 116.036 2.994 100.289 2.216 56.943 1.106 102.272 2.692 145.579 3.810 53.105 1.202 127.212 3.061 102.838 2.383 126.352 2.723 13.661 0.190 164.352 4.870 159.945 4.160 54.382 0.884 128.253 3.598 181.208 4.767 145.118

Hi All, I'm using the following code to produce some stacked bar graphs. *setwd("C:\\Users\\Tinus\\Documents\\NMMU\\R\\Seamounts")* *SChla <- read.csv("SM_Chla_data.csv")* * * *#Extract mean values from data file* * * *Coral <- SChla[185:223,] #Reduce SChla to Coral only* *coral <- with(Coral , aggregate(cbind(Pico, Nano, Micro), list(Depth),FUN=mean))*

I have found following problem: I have a vector: > a <- c(1.04,1.04,1.05,1.04,1.04) I want a mean of this vector: > mean(a) [1] 1.042 which is correct, but: > mean(1.04,1.04,1.05,1.04,1.04) [1] 1.04 gives an incorrect value. how is this possible? thanks, zbynek -- View this message in context: http://r.789695.n4.nabble.com/Incorrectness-of-mean-tp3327701p3327701.html Sent from the R

Hi, I''ve been working for a big corporate company as junior system engineer and getting nicely to understand HTB/iproute2/iptables etc, The ordinary users(about 500 users), can pop / smtp / skype out on the network, but I can''t ssh out, cause they blocked the ports. Thought of being clever, I let my home linux listen on port 443 or 110 for ssh connection, but it wont connect, I

Hello list I have a problem with classifying traffic from two providers, and about 600 users. I have the following situation: P1-\ | linux | --eth0-| box |-eth1 P2-/ | | P1 and P2 are coming from VLANs. I have 4 type traffic which I want to classify. The traffic is divided as follows: P1 - 100mbit from realm 0x70000 10mbit from realm ! 0x70000

hello! i have the following problem: i have a pc, which has one (eth0) NIC. eth0 is connected to two other linux machines acting as routers to the internet. i want to classify packets outgoing from my PC. i want to mark packets that are routed through 1. router with mark 1 and the others packets routed throuhg router 2. with mark 2. i had following ideas: -using destination MAC -using route

Is there any way to discover whether a particular operand of a MachineInst participates in addressing? That is, if the MachineInst references memory, can I tell, given an operand, whether that operand is part of the address calculation for the instruction? Also, is there any reasonable way to get the set of machine instructions to which the output(s) of some machine instruction flows? The

On Jan 11, 2008, at 2:00 PM, David Greene wrote: > Is there any way to discover whether a particular operand of a > MachineInst > participates in addressing? That is, if the MachineInst references > memory, > can I tell, given an operand, whether that operand is part of the > address > calculation for the instruction? Nope, not that I know of. > Also, is there any

On Friday 11 January 2008 16:36, Chris Lattner wrote: > On Jan 11, 2008, at 2:00 PM, David Greene wrote: > > Is there any way to discover whether a particular operand of a > > MachineInst > > participates in addressing? That is, if the MachineInst references > > memory, > > can I tell, given an operand, whether that operand is part of the > > address >

I have a vector of size 217 called "A". the values of A are not sorted and range from 0 to 1 (normalized) I am having difficulty writing a program to create a new vector "B" where if A's value is 0< A <=0.333 then B is 0 if A's value is 0.333< A <=0.666 then B is 1 if A's value is 0.666< A <=1 then B is 2 so if A is 0.22 0.999 0.444 0 B would

On 26/05/24 03:00, Michael Tokarev via samba wrote: > There's also /usr/sbin/samba_kcc in there, - should go either to samba-ad-client > or samba-ad-dc, I can't understand which one. samba-ad-dc. It is called by the server. >> BTW, do we really need samba_downgrade_db these days?? Changing format to the >> one used by samba 4.7, srsly?? I'd just remove this one :)

Hi to all, I'm new to this forum and new to R. I have to build a tree classifier that has boolean values as response. When I build the tree with: echoknn.tree <- tree(class ~ ., data=echoknn.train) where "class" is a coloumn of my dataset (echoknn.train) of boolean values, the result is a tree where leaf nodes are numbers in the range [0,1]; but this isn't the result that I

The following code gives me an error: class_vars = [''fruit'',''cow'',''coffee''].each do |class_var| "#{class_var}".classify.send(:find, 1 + rand(10)) end The error message stack: LocalJumpError: no block given from (irb):34:in `find'' from (irb):33:in `each'' from (irb):33:in `find''

Dear all, does anyone know how I can extract specific p-values for covariates from an aftreg object? After fitting a model with aftreg I can find all different variables by using str(), but there's no place where p-values are kept. The odd thing is that print() displays them correctly. EXAMPLE: > testdata start stop censor groupvar var1 var2 1 0 1 0

I'm using an SVM as I've seen a paper that reported extremely good results. I'm not having such luck. I'm also interested in ideas for other approaches to the problem that can also be applied to general problems (no assuming that we're looking for spirals). Here is my code: library(mlbench) library(e1071) raw <- mlbench.spirals(194, 2) spiral <-

hi list, first of all, i''m new to puppet, and i''m evaluating it right now since a few days in my company ( internet, books, etc as sources ). i''ve been using cfengine for a few years now, and trying to get into puppet. i''d install puppet 0.25, because i feel a need to use regular expressions to identify nodes scenario: lets say we do have a few servers to get

Dear everyone, I am new to R, and I am looking at doing text classification on a huge collection of documents (>500,000) which are distributed among 300 classes (so basically, this is my training data). Would someone please be kind enough to let me know about the R packages to use and their scalability (time and space)? I am very new to R and do not know of the right packages to use. I

Greetings All! As is often the case on this list, the answer may well be under my nose but I can't see it! I am looking for a "smart" way to do the following. Say I have a vector of values, X. I set up bins" for X, say with breaks at B = c(b1,b2,...,b11) covering the range of X, i.e. bins numbered 1:10. The value x is in bin i if B[i] < x <= B[i+1] What I seek is a

Hi all, I'm working with a bunch of large graphs, and stumbled across something useful. Probably many of you know this, but I didn't and so others might benefit. Using pch="." speeds up plotting considerably over using symbols. > x <- runif(1000000) > y <- runif(1000000) > system.time(plot(x, y, pch=".")) user system elapsed 1.042 0.030 1.077