similar to: What does => mean ?

Hi, I have been testing sieve in my setup with qmail-ldap and deliver on a LAN with an artificial domain name. Everything seems to be working as expected, except in cases when autoreplies (vacation, reject messages) need to be tested. The domain name is vmint, and dawnone is the hostname on which mail server is setup, so a users have address like cot at vmint, cute at vmint and dove at vmint *

Greetings, i am testing: - dovecot-1.2-sieve-0.1.11 - dovecot 1.2.3 - dovecot-1.2-managesieve-0.11.8 (with patch) I am trying to use sieve_after to execute some redirection of mails. I have put in the after script: require "include"; require "fileinto"; if header :contains ["To","Cc"] "userA at acasalud.com.ar" { keep; redirect

Hi, Has anyone successfully implemented the :onsubmit option for form_remote_tag. It doesn''t seem to work for me. Is there any specific version of rails which is required for the same. Here''s my piece of code. <script> function set_tojid(){ alert(''onsubmit''); } </script> <%= form_remote_tag :update => '''', :url => {

Hello: Let me rephrase my question to attract interest in the problem I'm having. When I appply anova() to two equations estimated using glmmPQL, I get a complaint, > anova(fm1, fm2) Error in anova.lme(fm1, fm2) : Objects must inherit from classes "gls", "gnls" "lm","lmList", "lme","nlme","nlsList", or "nls"

in dlmrecovery.c:1121, replace 'migrate' to 'migration' to keep the consistency by comparing to other lines with the similar log info in the same file. Signed-off-by: Jeff Liu <jeff.liu at oracle.com> --- fs/ocfs2/dlm/dlmrecovery.c | 2 +- 1 files changed, 1 insertions(+), 1 deletions(-) diff --git a/fs/ocfs2/dlm/dlmrecovery.c b/fs/ocfs2/dlm/dlmrecovery.c index

What do you find preferable? Installing from sources or installing from binary packages?

#I would like to use the below data to make a scatter plot matrix with #code similar to that below the data #conceptually this is the right approach I think #thanks in advance melt.gg <- structure(list(stream = c("Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower", "Bonham Lower",

Dear Help, Suppose I have a character vector. x <- c("Bob", "loves", "Sally") I want to combine it into a single string: "Bob loves Sally" . paste(x) yields: paste(x) [1] "Bob" "loves" "Sally" The following function combines the character vector into a string in the way that I want, but it seems somewhat inelegant.

If I have a dataframe which is organized like this: name color likes? 1 sally red 0 2 sally blue 1 3 sally green 1 4 jake red 0 5 jake blue 1 6 jake green 1 7 tom red 1 8 tom blue 0 9 tom green 0 And I want to create a matrix in the form: red blue green sally 0 1 1 jake 0 1 1 tom 1 0 0 Are there any built-in

Dear All, I am trying to reshape the data with some conditions. A small part of the data looks like below. Like this there will be more data with repeating ID. Count id name type 117 335 sally A 19 335 sally A 167 335 sally B 18 340 susan A 56 340 susan A 22 340 susan B 53 340 susan B 135 351 lee A 114 351 lee A 84 351 lee A 80 351 lee A 19 351 lee A 8 351 lee A 21 351 lee A 88 351 lee B 111 351

Hi sri, As your problem involves a few logical steps, I found it easier to approach it in a stepwise way. Perhaps there are more elegant ways to accomplish this. svdat<-read.table(text="Count id name type 117 335 sally A 19 335 sally A 167 335 sally B 18 340 susan A 56 340 susan A 22 340 susan B 53 340 susan B 135 351 lee A 114 351 lee A 84 351 lee A 80 351 lee A 19 351 lee A 8 351 lee A

Hi all, I have downloaded the latest version of wine in order to run iTunes but when I tried to execute the program here is what I get : cd /home/sally/Documents $ wine iTunes64Setup.exe Trying to load PE image for unsupported architecture (AMD-64) err:process:create_process starting 64-bit process L"Z:\\home\\sally\\Documents\\iTunes64Setup.exe" not supported on this platform wine:

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Hi all, Anybody could me tell when CentoOS7 will have Xen support? Thank a lot

Hi Jim, Thanks for your time. But somehow this code did not help me to achieve my expected output. Problems: 1) x, y are coming as logical rather than values as I mentioned in my post 2) The values that I get for Max A and Max B not correct 3) It looks like a pretty big data, but I just need to concatenate the values with a comma, the final output will be a character

ok there might be other ways to do this but here is what i did for my django project I had to create a listener in python PLEASE PLEASE PLEASE BE CAREFUL ! This script is designed to work on a closed network and is still rough around the edges but does work needs to be run as root in the background to access the doveadm. If you intend to access from outside then you need to secure it by

I?m running version 2.1.7 under Raspbian Wheezy (and have been for a number of years). I want to allow one of my other computers to remotely issue doveadm commands to my server but can?t seem to find the right way to add an inet listener to permit this. Using ?doveconf -a? I?ve found the default service definition for doveadm-server. So I copied that and added it to the dovecot configuration with

Hi, I would like to generate a facebook call on behalf of a user to create a request to another user to install the app. Is there a way to do this without being in a fb_request_form? the use case is: Fred is creating a task, he assign it to a friend Sally , if Sally has already installed & setup my app, no problem, if she hasnt, I want to send an add request from Fred along with

Hello! I am still a beginner. Can you tell me how to delete a row (from a matrix or data.frame) if the row name starts with U? See example below: U179971039 0.058663 0.087575 empty1 -0.1296 -0.09105 empty2 0.136259 0.398073 empty3 0.446041 -0.33997 Sally [[alternative HTML version deleted]]

Dear R helpers, I need to estimate a probit model with box constraints placed on several of the model parameters. I have the following two questions: 1) How are the standard errors calclulated in glm (family=binomial(link="probit")? I ran a typical probit model using the glm probit link and the nlminb function with my own coding of the loglikehood, separately. As nlminb does not