similar to: 4.3 to 4.4 and Yum and Upgrade vs. Update

Got a wild hair this A.M. and decided to inundate my two brain cells. "Man yum" includes this: update If run without any packages, update will update every currently installed package. ... assumed to be a shell glob and any matches are then installed. If the --obsoletes flag is present yum will include package obsoletes in its calculations - this makes

Are the problems with yum in the Centos 4.3->>4.4 upgrade process due to a forked or obsolete version of yum? I briefly scanned <https://lists.dulug.duke.edu> and didn't see any problems, but did see some incidents regarding yum hangs reported about a year ago. regarding the current upgrade, Seth Vidal in

I have financial data on a a set of firms, with a quarterly period (fundamental data). The data spans 10 years, and four quarters per year. The present file (.csv) reads the Date columns as "200706" for the second quarter of 2007; "199809" for the third quarter of 1997. Is there a way I can convert it to something like "2007 Q2", "1998 Q3"? I am aware of

Dear R users, I have a dataframe where column is has countries, column 2 is dates (monthly) for each countrly, the next 10 columns are my factors where I have measurements for each country and for each date. I have attached a sample of the data in csv format with the data for 3 countries. I would like to convert my monthly data into quarterly data, finding the mean over 3 month periods for

Hi guys: I saw the pelthora of threads where people had trouble moving to 4.4. So I'm chicken now and I was trying to wait for the dust to settle, I suppose it has and its been long enough I'm nervous about not upgrading. I need to do a a production server that is located in a data center far away so even more than normal I want a smooth upgrade. Can someone tell the what the

Hi, We are (still) mainly using CentOS 5 (5.8 x86_64). As CentOS / EL 5 standard OpenLDAP packages are rather old (2.3.x), we've been using LTB OpenLDAP packages ( http://ltb-project.org/wiki/download#openldap), which get installed in non-standard file system locations. I am not much experienced in building RPMs and preparing spec files. We are currently using dovecot RPM packages from

Folks, This question is somewhat related to a previous posting of mine. I just can't seem to create a generic solution. Here is a function that I found searching around the internet: splitIt <- function(x, n) {split(x, sort(rank(x) %% n))} I use it like so: > splitIt(1:12, 2) $`0` [1] 1 2 3 4 5 6 $`1` [1] 7 8 9 10 11 12 Or > splitIt(1:12, 4) $`0` [1] 1 2 3 $`1` [1] 4 5 6

Hello, I have a data set has 2001Q1 100 2001Q2 101 2001Q3 120 2001Q4 103 ... And would like to convert it to a monthly data. i.e. 200101 XXX 200102 XXX 200103 XXX

Greetings. I have an application which is used to track jobs and payments. The billables table contains columns "job_date", "amount" and "receipt" which indicate the date of the job, the amount due and whether or not payment has been received, respectively. In addition to tracking and manipulating individual jobs, the application is also used to generate aggregate

OK ... there has been an awful lot of attributing problems to the 4.4 upgrade that are not really upgrade problems. The best I can tell there is really only one major problem: 1. You need to install python-sqlite before sqlite (or at nearly the same time). To accomplish this you can do this: yum update python-sqlite sqlite Then after that, a normal yum update works fine. There are 2 other

Dear all, Does anyone know if the PLM package (to run Panel Data Analysis) accepts quarterly data? The package vignette and documentation only use annual data -and the only time index available seems to work for years. José Mr José Luis Iparraguirre Senior Research Economist Economic Research Institute of Northern Ireland 2 -14 East Bridge Street Belfast BT1 3NQ Northern

Hello, I have two time series objects, 1 is yearly (population) and the other is quarterly (bankruptcy statistics). I would like to produce a quarterly time series object that consists of bankruptcy/population. Is there a pre-built function to intelligently divide these time series: br.ts = ts(data=br.df[,-1], frequency = 4, start=c(2001,1), end=c(2008,2)) distPop.ts = ts(data=distPop.df[,-1],

CentOS 4.3 (SMP, x86_64, Athlon64 X2) with all pre-4.4 release updates applied. Since I ran into the Yum issue at the previous upgrade, I first did yum upgrade to get the list of packages (6 to install, 206 to update). I then did yum upgrade yum (which passed without issues) yum upgrade sqlite (which passed without isseus). Fairly certain that yum now works correctly, I wanted to just do

Consider the following scrap of code: > x<- ts(1:50,start=c(1,11),freq=12) > y <- aggregate(x,nfreq=4) > c(y) [1] 6 15 24 33 42 51 60 69 78 87 96 105 114 123 132 141 > y Error in rep.int("", start.pad) : invalid number of copies in rep.int() > tsp(y) [1] 1.833333 5.583333 4.000000 So we can aggregate into quarters, but we cannot print it using

Consider the following scrap of code: > x<- ts(1:50,start=c(1,11),freq=12) > y <- aggregate(x,nfreq=4) > c(y) [1] 6 15 24 33 42 51 60 69 78 87 96 105 114 123 132 141 > y Error in rep.int("", start.pad) : invalid number of copies in rep.int() > tsp(y) [1] 1.833333 5.583333 4.000000 So we can aggregate into quarters, but we cannot print it using

I have time series observation on daily frequencies : library(zoo) SD=1 date1 = seq(as.Date("01/01/01", format = "%m/%d/%y"), as.Date("12/31/02", format = "%m/%d/%y"), by = 1) len1 = length(date1); data1 = zoo(matrix(rnorm(len1, mean=0, sd=SD*0.5), nrow = len1),  date1) plot(data1) Now I want to calculate 1. Quarterly statistics like mean, variance etc

can you recommend a good manual for R that starts with a data set and gives demonstrations on what can be done using R? I downloadedR Langauage definition and An introduction to R but haven't found them overly useful. I'd really like to be able to follow some tutorials using a dataset or many datasets. The datasets I have available on R are Data sets in package 'datasets':

Hello, I am writing codes for time series computation but encountering some problems Given the quarterly data from 1983Q1 to 1984Q2 PI1<-ts(c(2.747365190,2.791594762, -0.009953715, -0.015059485, -1.190061246, -0.553031799, 0.686874720, 0.953911035), start=c(1983,1), frequency=4) > PI1 Qtr1 Qtr2 Qtr3 Qtr4 1983 2.747365190 2.791594762

Hey all, I'm attempting to build a spec file of php 5.6.7 - the latest stable - into an rpm. And it's failing with this set of errors: Processing files: php-5.6.7-1.el7.x86_64 warning: File listed twice: /etc/rc.d/init.d/php-fpm error: Symlink points to BuildRoot: /usr/bin/phar -> /home/bluethundr/rpmbuild/BUILDROOT/php-5.6.7-1.el7.x86_64/usr/bin/phar.phar warning: File listed twice:

I just installed centos 7, yum is acting strange, experiencing RPC time-outs. Sometimes when I disable the additional repos (epel and rpmforge) it seems to make things act normal. But not this time (see below). Could I have some misconfiguration? Network glitch? What hypotheses should I be considering? Thanks, Dave [root at localhost ~]# yum repolist repo id