search for: blacksheep

...in a client, I get the following error from windows when it tries to join: ----------------------------------------------------------------------------------------------- DNS was successfully queried for the service location (SRV) resource record used to locate a domain controller for domain "blacksheep.test": The query was for the SRV record for _ldap._tcp.dc._msdcs.blacksheep.test The following domain controllers were identified by the query: blacksheeptest.blacksheep.test However no domain controllers could be contacted. Common causes of this error include: - Host (A) or (AAAA) rec...

Dear All Can R compute the expected value of a random variable? Thanks in advance, Paul

...1:44" "2006-06-30 12:32:58" "2006-06-30 12:34:46" "2006-06-30 12:36:55" ... $ countername : Factor w/ 4 levels "Bytes Received/sec",..: 1 1 1 1 1 1 1 1 1 1 ... $ countervalue: num NA 938 816 4213 906 ... > On 7/8/06, Mike Nielsen <mr.blacksheep at gmail.com> wrote: > I would be very grateful to anyone who could point to the error of my > ways in the following. > > I have a dataframe called net1, as such: > > > str(net1) > `data.frame': 114192 obs. of 9 variables: > $ server : Factor w...

I would be very grateful to anyone who could point to the error of my ways in the following. I have a dataframe called net1, as such: > str(net1) `data.frame': 114192 obs. of 9 variables: $ server : Factor w/ 122 levels "AB93-99","AMP93-1",..: 1 1 1 1 1 1 1 1 1 1 ... $ ts :'POSIXct', format: chr "2006-06-30 12:31:44"

R-Helpers, I'm sorry to have to ask this -- I've not used R very much in the last 8 or 10 months, and I've gotten rusty. I have the following (ff2 is a subset of a much, much larger dataset): > ff2 hostName user sys idle obsTime 10142 fred 0.4 0.5 98.0 2007-11-01 02:02:18 16886 barney 0.5 0.2 94.6 2007-10-25 19:12:12 8795 fred 0.0 0.1 99.8

Hi r-helpers. Please forgive my ignorance, but I would like to plot a smoothing spline (smooth.spline) from package "stats", and show the knots in the plot, and I can't seem to figure out where smooth.spline has located the knots (when I use nknots). Unfortunately, I don't know a lot about splines, but I know that they provide me an easy way to estimate the location of local