search for: duckworth

I am trying to simplify a text variable by matching and replacing it with a string in another vector so for example in colours <- paste(letters,colours(),"stuff",LETTERS) find and replace with ("red","blue","green","gray","yellow","other") - irrespective of case its a large dataset, so i'd like to be able to do this

R-listers, I am using xts with a yearmon index, but am getting some inconsistent results with the date index when i drop observations (for example by using na.omit). The issue is illustrated in the example below. If I start with a monthly zooreg series starting in 2009, yearmon converts this to "Dec-2008". Not such a worry for my example, but strange. Having converted to xts, i drop

[Cross-posting to ldoms-discuss] We are occasionally seeing massive time-to-completions for I/O requests on ZFS file systems on a Sun T5220 attached to a Sun StorageTek 2540 and a Sun J4200, and using a SSD drive as a ZIL device. Primary access to this system is via NFS, and with NFS COMMITs blocking until the request has been sent to disk, performance has been deplorable. The NFS server is a

Hi all, I'm new to the list, so please forgive me if this is duplicated effort. I have created a patch for openssh which modifies the AuthorizedKeysCommand directive so that the incoming user's public key is sent to the specified program via stdin. This provides a means to identify the connecting user based solely on their public key and not just by the username. The inspiration for

Dear "R-listers" I've been trying to figure out how to annotate charts in ggplot (ie add text to line charts, highlighted boxes etc). By and large, I can get close to what i want with base graphics, but would ideally like to use ggplot whenever possible (additionally, i would like to add text labels automatically to the chart). The code is below I suspect I need to use geom_rect,

On 21 March 2014 10:56, Scott Duckworth <sduckwo at clemson.edu> wrote: > On Fri, Mar 21, 2014 at 12:15 PM, Daniel Kahn Gillmor <dkg at fifthhorseman.net> > wrote: >> those limits suggest that the size is 128kiB on anything resembling a >> modern Linux system. > > How about other platforms? Especially...

I am trying to figure out a way to download an Excel file and then read a range into R - so that i can have a reasonably automated process. I have been trying to use the RODBC package, but with little success. I suspect that this isnt the right route Here is some code. My aim is to read in the data starting in H69:H283 in sheet 2.

...ba service from ${PKG_INSTALL_ROOT:-/}" inetpid=`/bin/ps -ef | awk '/ \/usr\/sbin\/inetd / { print $2 } '` if [ "X$inetpid" = "X" ]; then echo "inetd not running" else echo "Restarting inetd($inetpid)" kill -HUP $inetpid fi -- Anthony Duckworth Logical Network Services PO Box 22772, Windhoek, Namibia Tel: +264 61 205 8227 (direct) +264 61 205 8111 (S/board) Fax: +264 61 205 8246

Dear R users I am trying to create some new variables for a 4401 x 30 dataframe using ddply and transform. The "id" variable i am using is a factor with 1330 levles eg bb <- function(df) {transform(df, years = study.year - min(study.year) + 1, periods = length(study.year) )} test <- ddply(x,.(id),bb) I havent copied the data to avoid clogging the

https://bugzilla.mindrot.org/show_bug.cgi?id=2081 Bug ID: 2081 Summary: extend the parameters to the AuthorizedKeysCommand Classification: Unclassified Product: Portable OpenSSH Version: 6.2p1 Hardware: All OS: All Status: NEW Severity: enhancement Priority: P5 Component: sshd

I'd like to be able to read multiple sheets from an excel workbook and use the sheet name to name the resulting dataframe using RODBC. at the moment i've figured out how to do it the long way (see below) but feel sure that there is a speedier & possibly automatic way to do it in R. i've tried to run a loop using sqlTables but it seemed to break the connection. unless i've

Hi world, I have a 10-disk RAID-Z2 system with 4 GB of DDR2 RAM and a 3 GHz Core 2 Duo. It''s exporting ~280 filesystems over NFS to about half a dozen machines. Under some loads (in particular, any attempts to rsync between another machine and this one over SSH), the machine''s load average sometimes goes insane (27+), and it appears to all be in kernel-land (as nothing in

Hi, as Richard Elling wrote earlier: "For more background, low-cost SSDs intended for the boot market are perfect candidates. Take a X-25V @ 40GB and use 15-20 GB for root and the rest for an L2ARC. For small form factor machines or machines with max capacity of 8GB of RAM (a typical home system) this can make a pleasant improvement over a HDD-only implementation." For the upcoming

dear r folks i am a bit puzzled about how to use chron as an index xts and why it differs from zoo. in this example, why can i index zoo but not xts x<-1:23 time.of.day <- times(paste(x,":0:0",sep=""),format="h:m:s") day <- dates("4/8/90") period <- chron(dates=day,times=time.of.day) xts(1:23,period) zoo(1:23,period) i suspect it might be to

R-listers I am still finding my way with R - and feel that I am making a complete dogs dinner of something that should be pretty simple. What I'd like to do is to create a simple function that i can use to calculate compound growth rates (CAGRs) over a data frame. I'd like the function to be flexible enough to vary the time period and to run over 'panel data'. The issue is that

I would like to be able to shade between two lines using ggplot2 (with faceting too). But, despite reading all the documentation on the website, cant figure out how to do it (either because i am a novice or idiot - or, of course, possibly both) My data looks is readership of paid & free newspapers in london by age since 1994. The structure is reading.melt <- structure(list(Date =