similar to: coding rules

Displaying 20 results from an estimated 600 matches similar to: "coding rules"

2008 Apr 08
1
save multiple pages lattice-plot
Dear R-helper, I am trying to save some plots I made with lattice, but I have several pages printed for each call. My layout is something like c(col=2,row=4,pages=12) and I didn't find a way to save those plots, because I am usually using savePlot() which from what I saw can only save one page/device a the time. Is there an easy way to save all the plots? or should I use a loop and cut
2006 Apr 20
1
S4 objects with list of objects as slots: how to subset?
Hello, I don't manage to see if you have already focussed on this point in some previous messages so I post my question: I have a little problem with the S4 style of programming. I tried to formalize my question: please consider the following example that you can run I think: #------------------ setClass("my.class1", representation( my.list =
2020 Nov 18
2
samba / debian 10 / security=ads
Hi all I'm looking for some help on winbind/idmap for a new host The debian version is new on this host : debian 10 buster so samba is > root at homedir10:~# samba --version > Version 4.9.5-Debian We want to use security=ads so we join this host to the domain No problem for windows clients : they can mount shares that are accessible to their primary unix group and secondary unix
2012 Mar 02
1
make check fails for R.2.14.1 / SUSE Linux Enterprise Server 11 (x86_64) / intel compiler 11.1
Hi, On a linux (suse 11p1 64 bits) and intel compiler (11.1 20100806), for R 2.14.1 I ran : ./configure make The config.log file is available at ftp://ftp.ifremer.fr/ifremer/divers_permanents/config.log Binary file R is created, all seems Ok. However : make check fails with the message : make[1]: Entering directory `/tmp/R/R-2.14.1/tests' make[2]: Entering directory
2008 May 13
1
Likelihood between observed and predicted response
Hi, I've two fitted models, one binomial model with presence-absence data that predicts probability of presence and one gaussian model (normal or log-normal abundances). I would like to evaluate these models not on their capability of adjustment but on their capability of prediction by calculating the (log)likelihood between predicted and observed values for each type of model. I found
2002 Dec 12
2
t-test bootstrap versus permutation question
Hi, I have a little problem that puzzles me about contradictory results returned by a bootstraped t-test (as in MASS 3rd ed p. 146) versus a permutation t-test (as in MASS 3rd ed, p 147). Data are measurements done on 100 cells in 9 slides of fish blood. With one method, cells are randomly sampled, and with the other method, the operator selects cells arbitrarily (in a way it is done usually
2008 Sep 22
1
Likelihood between observed and predicted response
Thank you so much for your help. The function "dbinom" seems to work very well. However, I'm a bit lost with the "dnorm" function. Apparently, I have to compute the mean "mu" and the standard deviation "sd" but what does it mean exactly? I only have a vector of predicted response and a vector of observed response that I would like to compare! What
2020 Nov 18
1
samba / debian 10 / security=ads
Many Thanks Rowland to have read and respond to this very long mail Le 18/11/2020 ? 12:46, Rowland penny via samba a ?crit?: >>> NT_STATUS_NO_LOGON_SERVERS > Are the Unix clients joined to the domain and do they use a DC as their > first nameserver ? No linux clients aren't binded by any mean to the AD Their name servers in /etc/resolv.conf are standards bind resolvers
2010 Nov 10
2
force apply not to drop the dimensions of FUN results ?
Dear R users, Here is my problem: I have an array with at least four dimensions: > dim(myArray) [1] 20 17 3 6 I'd like to apply a function to each occurrence of the matrix (3x6) defined by the last two dimensions. This interpolation function always return a matrix of the same dimensions as its argument: > interpSecteurs.f(myArray[1, 1, , ]) secteur rotation 1 2 3
2002 Jun 12
3
How does R compares for speed?
Hi, For those who are interested, I have update my R benchmark (to version 1.5.0) and also to Splus 6. They are available at: http://www.sciviews.org/other/benchmark.htm. A comparison is made between Matlab (5.3 & 6), R 1.5.0, Splus 6 rel 2, O-Matrix 5.1, Octave 2.1.31, Scilab 2.6, Rlab 2.1 and OX 3.00 under Windows 2000 pro. Overall, R is not the fastest package, but it is one of the
2006 Apr 24
1
Problem with the cluster package
Hi everybody, I want to use the cluster package (Cluster Analysis Extended Rousseeuw et al.). I downloaded it from the CRAN and installed it on my linux system (fedora core 4). All seemed to be allright. But when trying to launch examples, I obtained the following message : > library(cluster) > data(votes.repub) > agn1 <- agnes(votes.repub, metric = "manhattan",
2012 Mar 16
3
A difference between allocated and available memory in Xen virtual guest
Hello, I have allocated 4 GB memory for a guest instance on the Xen hypervisor. But within the instance there is only 2 GB memory available. See the details, the guest is named pr-idm: # Allocated memory on the hypervisor [root@pr-hyp xen]# xm list Name ID Mem(MiB) VCPUs State Time(s) Domain-0 0 3846 8 r-----
2013 Jun 04
1
High volume plot using log(local density)
Hi, I am using the densCols to draw a high volume scatter plot. Instead of using the default local density, I would like to take log of the local density and then map them to the colors. I could not figure out how to do that. For example: plot(x,y,col=densCols(x,y,"log")) ? Any help would be appreciated! Jiaxiu [[alternative HTML version deleted]]
2013 Jan 26
2
different legends in lattice panels
Hi listers, I want to make lattice plots xyplots with the indication of legends inside each panel with only the points and the lines actually ploted inside each given panel according to the group(ing) factor. The code below shows what I have achieved so far and I hope will make clear what I want to have. It seems to me that my solution is a very "dirty hack" and there certainly is
2016 Aug 22
1
RPC server is unavailable when using ADUC
Hello. We're running Samba 4.3.9 AD on two Ubuntu 16.04 LTS machines. I'm managing AD users and DNS from Windows 10 joined to the domain, by using ADUC. Last week I noticed the following error when starting ADUC as Administrator of the AD domain: ---- Naming information cannot be located because: The RPC server is unavailable. Contact your system administrator to verify that your domain
2018 Jul 30
3
2.3.2.1 - EC keys suppport?
> On 30 July 2018 at 20:37 ????? <vtol at gmx.net> wrote: > > > > >>>>>>> facing [ no shared cipher ] error with EC private keys. > >>>>>> the client connecting to your instance has to support ecdsa > >>>>>> > >>>>>> > >>>>> It does - Thunderbird 60.0b10 (64-bit) >
2020 May 15
2
Problems with groups, minimum gidnumber?
On Fri, 15 May 2020, Rowland penny via samba wrote: > On 15/05/2020 16:33, Harald Hannelius wrote: >> If there's a way to copy the sambaNTPassword password-hash from the LDAP >> for the Samba 3 DC with samba-tool I would have loved to find that >> information long ago :) > Why do you need the sambaNTPassword ? So the users would have the same password. I don't
2020 Oct 29
2
virsh rights voor normal users
hi, using the cockpit web ui and with these instructions: https://libvirt.org/dbus.html#usage we allow successfully that a group of users can access the console of the system vms in different kvm hosts. Oddly enough, in the same cockpit web interface I can use a terminal, and if I run virsh list --all I get an empty listing. So using cockpit I can manage the system vms, but I cannot use virsh.
2004 May 28
1
Regression model type II
I am trying to fit regression models type II with R, but it seems to me that most (all) of the linear model functions are for type I regressions. Does anyone knows whether type II regressions functions exist in R. Benjamin -- Benjamin Planque IFREMER Laboratoire d'Ecologie Halieutique BP 21105 44311 Nantes Cedex 03 France Tel: +33 (0)2 40 37 41 17 Fax: +33 (0)2 40 37 40 75 e-mail:
2014 Oct 09
1
vmstat and loadavg disagree about system load
1 4 499492 150392 4496 4763380 0 0 192 552 1227 1094 2 0 75 24 0 0 5 499492 150656 4500 4763528 0 0 0 160 465 263 1 0 68 30 0 0 5 499492 150468 4500 4763532 0 0 0 0 177 93 1 0 69 31 0 1 5 499492 151020 4500 4763540 0 0 0 0 160 132 0 0 69 31 0 1 5 499492 151268 4500 4763540 0 0 0 0 304 143 1 0 69