similar to: read.table and trouble

I've ported somebody else's rather cumbersome Matlab model to R for colleagues that want a free build of the model with the same type of I/O. The Matlab model reads a text file with the initial parameters specified as: C:\Data\Carluc\Rport>more Params.R # Number of years to simulate nYears = 50; # Initial year for graphing purposes year0 = 1970; # NPP/GPP ratio (cpp0 unitless) fnr =

Hi all, I am working for nest box occupancy data for birds and would like to construct a Markov transition matrix, to derive transition probabilities for ALL years of the study (not separate sets of transition probabilities for each time step). The actual dataset I'm working with is 125 boxes over 14 years that can be occupied by 7 different species, though I have provided a slimmed down

Hey all, I feel like the solution to this problem should be relatively simple, but for some reason I can't find answers or come up with my own solution. Given the dataframe: (SpA and SpB not important, want to look at distribution of cooccurance for each year) Year SpA SpB Coocc 2000 0 2000 2 2000 1 2001 8 2001 2 2001 0 2001 0 2002 1 2002 2 How can I apply different functions to

Allow a plugin field to declare whether a parallel plugin can tolerate windows where fds are not CLOEXEC, or must take precautions to avoid leaking fds if the plugin may fork. For safety reasons, the flag defaults to off, but many in-tree plugins can set it to on (most commonly because they don't fork after .config_complete; for libvirt because it is documented to clean up fds on fork so it

I have a piece of code as the one at the bottom, unfortunately since it involves time series from a db it's not easy to give to mailing list a working script. It becomes very slow after few hundred iterations over variable sp (must process several thousands). The Rprof() indicates that the problem is the use of gc(). Can someone indicate what I have to take care of not to call gc() so often?

Following the recommendation of Prof. Ripley, I have created the Makevars file with the line: PKG_LIBS="-L/usr/lib/libm -lm -L/usr/local/lib/libgsl -lgsl -L/usr/local/lib /libgslcblas -lgslcblas" in the working directory. Now I have the code file Example3.c which computes the Bessel function value (the example is taken from the GSL reference book). I am running: R CMD SHLIB Example3.c

Dear all, I am trying to use the function odfWeave. Unfortunately I cannot get beyond the folllowing error message: " Error in odfWeave("Example3.rnw", "Example3.odf") : Error unzipping odt file " Can anybody tell me, how to use this function? Thanks, Irina Ursachi.

Dear R Users, I want to fit GLMM with lmer with binomial data and a one-way random effects model with an overall mean and random effects. From R help, Laplace is slower than PQL, but more accurate. When I fit my model with Laplace method with control = list (usePQL = FALSE)), for most data sets it works well, but for some I get an error message (Error in if (any(sd < 0))

R Users, Emine Bayman sent this out earlier and we do not think it went through. Appologies if it did. We want to fit GLMM with lmer with binomial data and a one-way random effects model (overall mean is a fixed effect and there are random effects for each binomial). We are using the Laplace method. We are simulating multiple data sets and use the Laplace method with control = list

Hi there I'm working with ncdf data. I have different dataset for 4 runs, 4 seasons and 3 timeslices (48 datasets in total). The datasets have the following dimensions: 96 longitudes, 48 latitudes and 30 time steps. To read all of them in, I wrote the following loop: runs <- c("03","04","05","06") years <- c(1851,1961,2061) seasons <-

Hi, I am beginning to see many entries like: Sep 10 21:32:06 mail1 dovecot: imap(user1 at example1.com): Warning: read(/var/run/dovecot/dict): dict lookup took 20 seconds Sep 10 21:32:11 mail1 dovecot: imap(user2 at example2.com): Warning: read(/var/run/dovecot/dict): dict lookup took 25 seconds Sep 10 21:32:16 mail1 dovecot: imap(user3 at example3.com): Warning: read(/var/run/dovecot/dict):

Hi Friends, I have configured Postfix mail server on Centos for relaying mails from 5 linux servers (including itself) within the same LAN. The postfix mail server should relay mails from these 5 linux servers for specific domains only. For example hosts 192.168.0.23/24/25/26/27 and the postfix mail server should only be able to receive and send mails from and to example.com,example2.com and

It's easier to get it to other places if it starts out in the configure script. Also split the list into language and non-language plugins. --- common-rules.mk | 44 ---------------------------------------- configure.ac | 53 +++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 53 insertions(+), 44 deletions(-) diff --git a/common-rules.mk b/common-rules.mk index

On Fri, Nov 09, 2018 at 01:44:38AM +0100, François Revol wrote: > Le 06/11/2018 à 10:02, Richard W.M. Jones a écrit : > I made a patch here: > > https://github.com/mmuman/nbdkit/commits/tmpfix > > Also added one for the loader lib search path environment, which is > different for us. For the tmpdir patch, I changed plugins/example3/example3.c to a simpler patch which

Is this a dovecot problem on your side? dovecot usually accepts mail from MTA like postfix, so it would be better to remove example1.com from postfix relaydomains (mailbox domains, alias domains, ...). Then there is no delivery to dovecot. Most MTAs ignore MX records - if a domain is configured locally, it gets delivered. Best regards Gerald > Am 11.09.2018 um 20:20 schrieb Kai Schaetzl

Hi, I am new to R community and I have a question on panel configurations in the Trellis package. Particularly, I have the following code: require(lattice) plotTable <- NULL Date <- seq(as.Date("2006-11-01"), as.Date("2009-12-01"), by = 1) nYear <- length(unique(format(Date,"%Y"))) plotTable$Date <- as.Date(paste(unique(format(Date, "%Y-%m")),

Hi, I use a OpenLDAP for authentication. To authenticate a full DN as the user name must be used, like "cn=jim,ou=users,dc=example,dc=com". There are several domains, like example2.com and example3.com. I want to use Dovecot with ldap and authentication binds. For testing I use "auth_bind_userdn = cn=%n,ou=users,dc=%d" and the user name must provide as "jim at

Given the following: mailboxes: user1 at example1.com user2 at example1.com user3 at example1.com etc. aliases: whatever at example1.com -> user1 at example1.com whatever at example2.com -> user1 at example1.com whatever at example3.com -> user1 at example1.com Now the problem: example1.com MX goes elsewhere (doesn't point to this server anymore). Domains example2.com and

--- configure.ac | 2 ++ filters/blocksize/Makefile.am | 1 + filters/cache/Makefile.am | 1 + filters/cacheextents/Makefile.am | 1 + filters/cow/Makefile.am | 1 + filters/ddrescue/Makefile.am | 1 + filters/delay/Makefile.am | 3 +++ filters/error/Makefile.am | 1 + filters/exitlast/Makefile.am | 3 +++

Hi ggplot experts, I need to plot two time series of stacked data: a barchart with bars for each month. To compare the data of two years I need to combine both time series with in a single graph via position=doge. How should I do that? I tried the following scenario: I added two layers with the time series of the stacked data for both years. That worked well exept the bars are obscuring each