similar to: Performance problem with CentOs 4.4 Samba

Hi I have a degraded array /dev/md2 ===================================================================== $ mdadm -D /dev/md2 /dev/md2: Version : 00.90.01 Creation Time : Thu Oct 6 20:31:57 2005 Raid Level : raid5 Array Size : 221953536 (211.67 GiB 227.28 GB) Device Size : 110976768 (105.84 GiB 113.64 GB) Raid Devices : 3 Total Devices : 2 Preferred Minor : 2

hi i can not find any info on RH ... -- Petr Kl?ma e-mail: qaxi at seznam.cz

library(plyr) n<-100000 grp1<-sample(1:750, n, replace=T) grp2<-sample(1:750, n, replace=T) d<-data.frame(x=rnorm(n), y=rnorm(n), grp1=grp1, grp2=grp2) system.time({ d$avx1 <- ave(d$x, list(d$grp1, d$grp2)) d$avy1 <- ave(d$y, list(d$grp1, d$grp2)) }) # user system elapsed # 39.300 0.279 40.809 system.time({ d$avx2 <- ave(d$x, interaction(d$grp1, d$grp2, drop =

Hi All, I am using Samba 3.2.11 on sles 10. I have create a Unix group 'grp1' and mapped it to a ntgroup "Group One". Unix group 'grp1' has one user i.e 'usr1'. 'net groupmap' command show the mapping with correct SID and gid value. Please, have a look here. # cat /etc/group | grep grp1 grp1:!:12613:usr1,raj1,raj2 # # net groupmap list Group One

Hi, I have a data.frame that has a categorical variable, for which I would like to look at the distribution of levels of this variable, based on a grouping of two other variables. As an example: x <- data.frame(obs=sample(c('low', 'high'),100, replace=TRUE), grp1=sample(1:10, 100, replace=TRUE), grp2=runif(100)) cut.grp1 <- cut(x$grp1, 3) cut.grp2 <- cut(x$grp2, 3)

1. I did not attempt to sort through your voluminous code. But I suspect you are trying to reinvent wheels. 2. I don't understand this: "I've failed to find a solution after much searching of various R related forums." A web search on "error handling in R" **immediately** brought up ?tryCatch, which I think is what you want. If not, you should probably explain why it

tryCatch() is good for catching errors but not so good for warnings, as it does not let you resume evaluating the expression that emitted the warning. withCallingHandlers(), with its companion invokeRestart(), lets you collect the warnings while letting the evaluation run to completion. Bill Dunlap TIBCO Software wdunlap tibco.com On Tue, Mar 6, 2018 at 2:45 PM, Bert Gunter <bgunter.4567 at

Dear Helpful R Users, I am graphing some data using the beanplot, but I am having trouble getting the output I desire. I have five tanks (A-E) and 2 groups for each tank grp1 or grp2, except tank C where there is only grp1. (I only changed the grouprep to "C grp1" for the example) When I plot them, I would like A B C(only grp1 - half of the bean plot) then D and E (as full beans).

You can capture warnings by using withCallingHandlers. Here is an example, its help file has more information. dataList <- list( A = data.frame(y=c(TRUE,TRUE,TRUE,FALSE,FALSE), x=1:5), B = data.frame(y=c(TRUE,TRUE,FALSE,TRUE,FALSE), x=1:5), C = data.frame(y=c(FALSE,FALSE,TRUE,TRUE,TRUE), x=1:5)) withWarnings <- function(expr) { .warnings <- NULL # warning handler will

Hi, I am trying to automate the creation of tables for some simply analyses. There are lots and lots of tables, thus the creation of a user-defined function to make and output them to excel. My problem is that some of the analyses have convergence issues, which I want captured and included in the output so the folks looking at them know how to view those estimates. I am successfully able to do

On Wed, 5 Dec 2018, Alexander Dalloz wrote: >> I have a group alias (all at company.com). >> (1) Only company.com accounts should be able to send an email to everybody >> in that company via all at company.com. >> (2) - rather optional: refine the restrictions, e.g. two groups, >> grp1 at company.com and grp2 at company.com. Grp1 members should be able to send

Hello! So I am handling this problem with some arrays grp1-grp7, I want to write a loop to avoid tedious work, but I don't know how to transform string to boor? For example I used i=1 paste("grp",i, sep="") I only got "grp1" instead of grp1, which can't be manipulate using mean() or other function. I am not sure if I make myself clear... THANKS!!!!

Hi, I have a vector of data, that I group based on two factors via tapply. For each such grouping I would like to plot a pie chart. I can layout these pie charts in a matrix layout, correpsonding to the levels of the two factors. But I am getting stuck on how to label the rows and colums. My current approach looks like this: x <- data.frame(obs=sample(c('low', 'high'),100,

Hello How do I switch off color mode on console (we have just BW monitor at the server) and not for all terminal connections? -- Petr Kl?ma e-mail: qaxi at seznam.cz

hi I have problem with mod_authz_ldap with this setup: <Directory /var/www/html/weby_2005> AuthzLDAPServer "ldap:389" AuthzLDAPUserBase dc=group,dc=cz AuthzLDAPBindDN uid=ds,ou=People,dc=group,dc=cz AuthzLDAPBindPassword XXXXX AuthzLDAPUserKey uid AuthzLDAPUserScope subtree AuthzLDAPLogLevel debug # needed for user auth

[R 2.0.0 on Linux] I tried: > df <- data.frame( grp1=factor( c('A' ,'A' ,'A' ,'D', 'D' ) ) , grp2=factor( c('a1','a2','a2','d1','d1') ) ) > df grp1 grp2 val 1 A a1 1 2 A a2 2 3 A a2 4 4 D d1 8 5 D d1 16 I got: > with( df, ave( val, grp1, grp2, FUN=sum ) )

Hi Are there any CentOS news groups with the same content as this mailing list? Petr Kl?ma e-mail: qaxi at seznam.cz

Hi folks, has anybody a simple solution for the following request? I have a group alias (all at company.com). (1) Only company.com accounts should be able to send an email to everybody in that company via all at company.com. (2) - rather optional: refine the restrictions, e.g. two groups, grp1 at company.com and grp2 at company.com. Grp1 members should be able to send mails to grp2 but not vice

I'd like to summarize several variables in a data frame, for multiple groups, and store the results in a data.frame. To do so, I'm using by(). For example: df<-data.frame(a=1:10,b=11:20,c=21:30,grp1=c("x","y"),grp2=c("x","y"),grp3=c("x","y")) dfsum<-by(df[c("a","b","c")],

Dear all Is there a clean plyr version of the following by() and do.call(rbind, ...) construct: > df<-data.frame(a=1:10,b=11:20,c=21:30,grp1=c("x","y"),grp2=c("x","y"),grp3=c("x","y")) > dfsum<-by(df[c("a","b","c")], df[c("grp1","grp2","grp3")], range) >