search for: 23.09

Dear R contributors, I have a problem in selecting in an efficient way, rows of a data frame according to a condition, which is a part of a row name of the table. The data frame is made of 64 rows and 2 columns, but the row names are very long but I need to select them according to a small part of it and perform calculations on the subsets. This is the example: X Y "Unique to

Dear Rusers, I am trying to feed my database with data from a file. But since my file (2010101000.txt) there`s no headers I am facing problem because the result data.frame is not separated my columns. How could I set variables names for each columns in *dbWriteTable*? I have tried the command below but I don`t know how to fill the *field.type*option. dbWriteTable(con, "b20101010",

Hi, I'm new to the whole R-thing as a replacement for Matlab, not disappointed sofar ;) I found out how to make nice looking boxplots, but i also would like the make a boxplot with 5% and 95% instead of the standard 25 and 75% quantiles. My csv input looks something like: LOCATION FILTER NR DATE VALUE MONTH Peelhorst01 1 14-Jan-94 23.07 1 Peelhorst01 1 28-Jan-94 23.68 1 Peelhorst01 1

R Help - I'm trying to run a correlation matrix with a covariate of "age" and will at some point will also want to covary other variables concurrently. I'm using the "psych" package and have tried other methods such as writing a loop to extract semi-partial correlations, but it does not seem to be working. How can I accomplish this? library(psych) > set.cor(y =

Hi. I'm looking for a tutorial/how-to for a HSM (Hierarchical /Storage/ Management). keeping old messages for a user in a cheap storage and recent messages in a faster one. I see on dovecot2 wiki an alternative for hsm as "Alternate storage", but I don't now if it's a good solution for me. The expected result is a faster imap/pop access for new messages on a

It would be useful to run the "doveadm" utility on a non-dovecot server e.g. generating password hashes: # echo plaintextpass | doveadm pw -s BLF-CRYPT doveadm(user): Fatal: Error reading configuration: stat(/etc/dovecot/dovecot.conf) failed: No such file or directory Is there a way to circumvent the need for a configuration file? Joseph Tam <jtam.home at gmail.com>

> On 29. May 2020, at 23.09, Joseph Tam <jtam.home at gmail.com> wrote: > > > It would be useful to run the "doveadm" utility on a non-dovecot server e.g. > generating password hashes: > > # echo plaintextpass | doveadm pw -s BLF-CRYPT > doveadm(user): Fatal: Error reading configuration: stat(/etc/dovecot/dovecot.conf) failed: No such file or directory

Hi there, We are using DoveCot 1.0.7. User will use POP3 or POP. We want to force user to securely send their credential and keep a secure connection between us and them. We can do TLS/SSL on port 995, or STARTTLS on port 110. The problem is that we have no way to enforce STARTTLS on 110, user can connect to DoveCot on port 110, sending user credential without STARTTLS (thus insecure).

Quoting Francesca PANCOTTO <f.pancotto at unimore.it>: > Dear R contributors, > > I have a problem in selecting in an efficient way, rows of a data > frame according to a condition, > which is a part of a row name of the table. > > The data frame is made of 64 rows and 2 columns, but the row names > are very long but I need to select them according to a small

My production imap is currently UWIMAP with mbox.. One of the problems commonly observed is mailbox lock loss, which happens when: a) a VIP has multiple secretaries accessing a single mailbox (actually, they are professional enough to have figured the realities of conflicting access and rarely have a problem), b) somebody leaving their machine on at home and coming in and firing up their work

Dear R developers: There is a possible bug in calculating the p-value for Spearman's rank correlation. Line 155 in file R-patched/src/library/stats/R/cor.test.R is as.double(round(q) + lower.tail), I think, it should be as.double(round(q) + 2*lower.tail), The reason is that round(q) is expected to be an even number (the S statistic), so the next feasible value is round(q)+2.