similar to: how to match a dataframe and a list

Hello List, Would anybody have a precompiled version of rsync 2.5.5 for SPARC Solaris 8 64bit? Thanks in advance for your help, Loris -- Loris Serena Unix Systems Administrator PaddyPower Bookmakers Phone : +353-1-4049633 http://www.paddypowerplc.com Mobile: +353-87-9683760 mailto:lserena@paddypower.com Privileged, confidential and/or copyright information

Hello list, I am running rsync 2.5.5 on some Solaris 7 and 8 boxes. I'd like to sync different directories from one box to another. This is my include file: ppukweb2% more rsync-include-file /tmp/loris/testrsync1 /tmp/loris/testrsync2 /tmp/loris/testrsync3 This is the command I run: rsync -azv -e ssh --stats --include-from=/tmp/rsync-include-file ppukweb8:/tmp/loris and this is the

Hello list, Using rsync 2.5.6 on Solaris 7/8 boxes: I was happily running this script via crontab: $ more webrsync.ksh #!/bin/ksh # @(#) File synchronization across hosts using rsync #Description : # # Created : 4 September 2003 # Author : Loris Serena set -x LPATH=/usr/local/bin for i in 1 3 4 5 6 7 8 do ${LPATH}/rsync -azvv -e ${LPATH}/ssh --stats

Hello- Sorry, this is a bit of a noob question, but I can't seem to progress it any further. I have two dataframes which contain a series of strings which exactly match. The problem is one has more rows than the other (more cases have been added) and they have been sorted so that they are not in the same order. The smaller dataframe, though, contains in another column which has codes

I am regularly running into a problem where I can't seem to figure out how maintain correct data order when selecting data out of a dataframe. The below code shows an example of trying to pull data from a dataframe using ordered zip codes. My problem is returning the pulled data in the correct order. This is a very simple example, but it illustrates a regular problem that I am running into.

Hello, We have just migrated a server from sun solaris 8 to sun solaris 10. In the old machine we had a Samba 3.0.20b and in the new one, we have samba 3.0.21, both compiled like this with no problems: env LD_FLAGS="-L/usr/local/lib" ./configure --with-ldapsam --without-pam --with-quotas --with-ldap --with-included-popt --with-acl-support --with-libsmbclient We share user's

Hello everybody! I’m trying to define the optimal number of surveys to detect the highest number of species within a monitoring season/session. To do this I want to run all the possible combinations between a set of samples and to calculate the total number of species for each combination of 2, 3, 4 …n samples events, so that at the end I will be able to define which is the lowest number of

Hi: I have a Dockerfile, which builds an image which installed R 3.3.2 in Ubuntu 14.04, but building using that Dockerfile seems to have stopped working and I am unclear why. I believe the relevant error is: Some packages could not be installed. This may mean that you have requested an impossible situation or if you are using the unstable distribution that some required packages have not yet

Dear R experts, I'm new to R. It seems to be a simple question but I just can't find a way to do it. Please help me. I have two data sets x and y as shown in the following. I want to compare the first two columns in x and y, find the matched ones and assign the relative value from column 2 of y to generate the third column of x. Any help wil be appreciated. Thanks. > x [,1]

Hi everybody, I am currently quite inexperienced with R. I try to create a function that simply take a value in a dataframe, look for this value in another dataframe and copy all the row that have this value This example is a simplified version of what I am doing but it's enough to help me listA Name NACE a 1 b 2 c 3 ListB NACE aaa bbb ccc 1 a a c 1 a a c 1 a a c 2 a a c 2 a a c 3 a a c 4 a

The second beginner question. I want to create a new dataframe, where each element of the original dataframe is translated to 1 if it was "+", to 0 if it was "-" to -1 otherwise. I could do with: Lines <- "a b c d + - + + + + + - + 1 - '+ ' - + + + + N - +" DF <-

Hi, I am casting a dataframe from long to wide format. The same codes that works for a smaller dataframe would take a long time (more than two hours and still running) for a longer dataframe of 2495227 rows and ten different predictors. How to make it more efficient ? wer <- data.frame(Name=c(1:5, 4:5), Type=c(letters[1:5], letters[4:5]), Predictor=c("A", "A",

--- the forwarded message follows --- -------------- next part -------------- An embedded message was scrubbed... From: "Cecilia Carmo" <cecilia.carmo at ua.pt> Subject: Re: [R] subset dataframe/list Date: Mon, 01 Jun 2009 21:33:15 +0100 Size: 3657 URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20090601/921f7638/attachment-0002.mht>

?merge Bert On Oct 13, 2017 12:09 PM, "Kevin Wamae" <KWamae at kemri-wellcome.org> wrote: > I'm trying to populate the column ?pf_mcl? in myDF1 with values from > myDF2, where rows match based on column "studyno" but the solutions I have > found so far don't seem to be giving me the desired output. > > Below is a snapshot of the data.frames. >

Hello, Try the following. myDF1$studyno <- as.character(myDF1$studyno) myDF2$studyno <- as.character(myDF2$studyno) i1 <- which(names(myDF1) == "pf_mcl") merge(myDF1[-i1], myDF2, by = "studyno") Hope this helps, Rui Barradas Em 13-10-2017 20:09, Kevin Wamae escreveu: > I'm trying to populate the column ?pf_mcl? in myDF1 with values from myDF2, where rows

Okay folks, I give up and - frankly - I'm fed up! I thought I'd sorted all this last week, but clearly not. I've tried using mirrors from here in the UK, Ireland, France and the USA and whichever mirror I use, all I get is this: clive at climate ~ $ sudo apt-get update Hit:1 http://ubuntu.mirrors.uk2.net/ubuntu xenial InRelease Ign:2 http://dl.google.com/linux/chrome/deb stable

Dear r-users,   Originally my data is in notepad.  I use data.frame(...) to convert the data into columns but it has no header.  The data below is what I got in R.  I would like to extract these data:   19710629        39.3  19701126  19720629        33.8  19720517 ... when I use data2_30min[1, cbind(1,3,5)] command the result is NULL.   Then I tried data2_30min[1], it gives me the whole set of

Hi there, > a<-data.frame(c(1,2,2,5,9,9),c("A","B","C","D","E","F")) > names(a)<-c("x1","x2") > max(table(a$x1)) [1] 2 > The above shows the max count for x1 is 2, which is correct. But we can't tell there are 2 groups that meet this criteria: 2,2 and 9,9. I then want to extract the

Hi, I've a beginner question. I'm trying to extract data in my dataframe according to some nested rules. I have something like the dataframe test.df: test.df = data.frame(V1=c(rep("A",10), rep("B",10), rep("C",5)), V2=c(rep(1,5), rep(2,5), rep(1,5), rep(2,5), rep(1,5))) V1 V2 1 A 1 2 A 1 3 A 1 4 A 1 5 A 1 6 A 2 7 A 2 8 A 2 9 A

Dear All, I have a database of 200 observations named myD. In the dataframe there are a column named code (with codes varying from 1 to 77), a column named "prevalence" with some quantitative measurements are given and an column named Pr_mean, with no values. I would like to set a cycle to compute the average of prevalence values for each different code and store the averages under the