search for: fwr

Hello, I run Shorewall 2.0.3a backport on a debian woody box (with 2.4.18 homemade kernel). When I start shorewall I got the following errors. Oct 30 11:13:12 fwr modprobe: modprobe: Can''t locate module ipt_conntrack Oct 30 11:13:17 fwr modprobe: modprobe: Can''t locate module ipt_pkttype Oct 30 11:13:18 fwr modprobe: modprobe: Can''t locate module ipt_pkttype Oct 30 11:13:57 fwr last message repeated 2 times Oct 30 11:14:06 fwr root...

I have a contingency table with a 0/1 variable (fwr) that flags a particular condition, a weight variable (cnt) and other variables (e.g. zz) characterizing that observation of the table. I am trying to use GLM. By converting the variables to factors and running the following regression: fwr1<-factor(fwr) zz1<-factor(zz1) res1<-glm(fwr1 ~ z...

The only database access package I see on CRAN is DBI. But is there a PostgreSQL driver for it yet? (where?) There is no sign of an RPgSQL package on CRAN either. What to do? Thanks, Bruce L. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

When I do this (highly simplified example): plot(as.POSIXct(c("1984-01-01","1984-01-02")), c(1,2), col=2) I get a partially red (col=2) x-axis between and including the first and last tick marks. Otherwise ok. Only happens with POSIXct or POSIXlt dates. Also, POSIX dates cannot be used on the y-axis? POSIXlt gives an error, and POSIXct is unformatted. Bruce Using X11

We''re encountering a failure with Mocha 0.5.6. We had this expectation: game_version.expects(:attributes=).with(:game_file => kind_of(GameFile), :game_id => @game.id) This expectation was passing with 0.5.5, but fails with 0.5.6. I added this test to parameter_matcher_acceptance_test.rb, which passes in 0.5.5 and fails in 0.5.6 def test_should_match_nested_parameters

...from loc to net (policy: loc net ACCEPT), the results are the same. Before continuing I''d like to know if you think I can improve this, knowing my hardware is quite old. This pc is dedicated to shorewall PII 166 48 Mo RAM debian stable with the standard kernel from the distro: Linux fwr 2.4.18-bf2.4 #1 Son Apr 14 09:53:28 CEST 2002 i586 unknown iptables 1.2.9 Shorewall debian backport 2.0.3 (I got the same results with the ''stable'' 1.2 shorewall) Thanks -- Guy Marcenac

...ch ip dst 172.18.5.74 classid 1:25 As you see above I create 5 cladd for 5 different Ip address and limit download traffic to 128 kbps but when I check statistics below i see that only a few classes work properly. others continue to download above 128kbps even 512kbps. is there any idea? [root@fwr router]# tc -s class show dev eth0 class htb 1:22 parent 1:1 prio 0 rate 128Kbit ceil 128Kbit burst 1615b cburst 1615b Sent 6068801 bytes 14516 pkts (dropped 0, overlimits 0 requeues 0) rate 42bit lended: 14516 borrowed: 0 giants: 0 tokens: 95744 ctokens: 95744 class htb 1:1 root rate 10Mbi...

My wife has been using a diagnostic from Manley (1991; "Randomization and MonteCarlo Methods in Biology") that compares a normal multiple regression's performance with that using random predicted variables. Is there something like this already available in R? If not, the "boot" package looks like a good place to start looking for methods, no? Thanks in advance Bruce

# Is this a bug or something I don't understand? spline(date, stor, n=52, xmin=mind, xmax=maxd) # gives length(x) of 53 ????, but y has the expected length of 52 # Shouldn't they be the same length? From help (spline): # spline returns a list containing components x and y which give the # ordinates where interpolation took place and the interpolated values # xmin and xmax are inside

Have 3.5 years daily data that I want to convert to weekly. Looking for something like SAS's "expand" function, where you can specify the conversion function (sum, average, etc.) and get a new vector out with different sampling frequencies. Anything like that in R ?? Have been looking all over... Thanks, B.D.L.

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 library(lattice) ## works as expected xyplot(1~1, key = list(text = list(c("Maenner")))) ## works as expected xyplot(1~1, key = list(text = list(c("Maenner"))), xlab = "M\344nner") ## gives an error xyplot(1~1, key = list(text = list(c("M\344nner")))) Is this a bug? TIA, Bernd -----BEGIN PGP

# R version 2.3.1 (2006-06-01) Debian Linux "testing" # Is the following behaviour a bug, feature or just a lack of # understanding on my part? I see that this was discussed here # last March with no apparent resolution. d <- as.factor(c("1970-04-04","1970-08-11","1970-10-18")) x <- c(9,10,11) ch <- data.frame(Date=d,X=x) d <-

I'm a great fan of read.table(), but this time the data had a lot of cruft. So I used readLines() and editted the char vector to eventually get something like this: " 23.4 1.5 4.2" " 19.1 2.2 4.1" and so on. To get that into a 3 col numeric table, I first just used: writeLines(data,"tempfile")

...in Advance Sajan Sathyan Software Engineer OTG Software Inc. E-Mail:Sajan Sathyan <mailto:ssathyan@otg.com> <http://www.otg.com> -- To unsubscribe from this list go to the following URL and read the instructions: http://lists.samba.org/mailman/listinfo/samba Return-Path: <mail@fwr.on.ca> Delivered-To: samba@lists.samba.org Received: from icewall.vianet.on.ca (icewall.vianet.on.ca [209.91.128.10]) by lists.samba.org (Postfix) with ESMTP id 2EC6B412F for <samba@lists.samba.org>; Wed, 12 Sep 2001 08:43:45 -0700 (PDT) Received: from TYAN586 (BRUCE@hunt-tcs3-port42.v...

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I've successfully created my own function (topbot) that takes a vector as input and used it with tapply() and an input vector (data$depth) and classification factor (data$profile): vols <- tapply(data$depth, data$profile, topbot) works great. But now I want to do something similar, except my function will take a 3 column matrix with nrows() equal to the factor's length. tapply

I've got a data frame with two numeric variables, df$flow and df$flow1. > tl <- lm(flow~flow1,df,na.action=na.exclude) > tlo <- loess(flow~flow1,df,na.action=na.exclude) Both loess and a simple linear model fit the data well. summary(tl) and summary(tlo) seem reasonable. As do plots such as: plot(predict(tl),df$flow) plot(predict(tlo),df$flow) I want to replace missing values

I'm trying to get predict.lm() to return an NA for each NA row in it's input vector, so the output is the same length as the input. I thought that using na.action=na.exclude with lm() would do that. But apparently not ?? df <- data.frame(x=c(NA,1,2,3,NA),y=c(0,2,3,4,0)) tl <- lm(y~x,df,na.action=na.exclude) predict.lm(tl,data.frame(x=c(2.5,NA,3,4,5))) 1 3 4 5 3.5 4.0 5.0