similar to: Add trend line to XYPlot using a subset of the original data

Hi all, I am using R, Version 1.9.1 alpha (2004-05-25), ISBN 3-900051-00-3 on SunOS fluke 5.9 Generic_117171-02 sun4u sparc SUNW,Sun-Fire-480R Version: sparc-sun-solaris2.9 arch = sparc os = solaris2.9 system = sparc, solaris2.9 status = alpha major = 1 minor = 9.1 year = 2004 month = 05 day = 25 language = R Search Path: .GlobalEnv, package:methods, package:stats, package:graphics,

I am having difficulty getting the trend.spatial function in geoR to work properly. After creating a trend.spatial object with a covariate, I try to add the command into my likfit() function as follows: trend1.trend.spatial <- trend.spatial("1st", trend1.geodata) trend1.spatial.EC0.1.reml <- likfit(spatial.geodata, trend1.trend.spatial, ini.cov.pars = spatial.EC0.1.eyefit,

hi I'm trying to configure my samba server and its clients to leave the user profiles on the server if a user logs on/off. Windows (2000) seems to synchronize the local profile every time a user logs on/off, which can't be disabled. so, i thought, why not use this synchronize "feature" to synchronize the _same_ files ( - or then - don't touch anything ? ) I searched the

Hi, I have a vector a=c(NA, 3, 4, 4, NA, NA, 3) and I would like to use is.na(a) function to get a vector like this: wy=(1,2,2,2,1,1,2) - you know, this vector create 1 or 2 depends on value in vector "a" This is my short code but something is wrong and I don't know what... for (i in 1:7){ a=c( NA, 3, 4, 4, NA, NA, 3) fun1=function(x){ x=1 print(x) } fun2=function(x){

Dear R Users, I am having trouble with lmer. I am looking at recombinant versus non recombinant individuals. In the response variable recombinant individuals are coded as 1's and non-recombinant as 0's. I built a model with 2 fixed factors and 1 random effect. Sex (males/females) is the first fixed effect and sexual genotype (XY, YY, WX and WY) the second one. Sexual Genotype is

I have a problem where I have two columns of data that I can simply plot using: plot(wV[0:15,3],wY[0:15,3]). This produces my desired plot. Now, say I have a third variable that I would like to introduce and use that variable to set different colors in the plot In this case, say I wanted values greater than 0 to be "blue" and values less than 0 to be "red" Basically, my

Hi, I apologize for this often/old question. I found some hints but couldn't solve the problem so far. I have C functions (incl. the header files) as well as the R wrapper functions which I want to use for faster calculations. These functions are included in a R package. The installation process seems to be ok (no errors). I also can load the package without errors. But when I call the

Sorry about that, it was sent by accident. I have a data frame that looks something like this: id day k 56 -1 566 63 -1 680 73 -1 773 56 2 298 63 2 273 Of course, it is a very simplified version of the real data frame I am working on. I need to add another column that would represent a percent change in k from day -1, by id. I put only two ids at day 2 to

Hi Alex, > On 9 Dec 2016, at 01:52, Alex Susu via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > > Hello. > I read on page 4 of

Hi all, I'm very new to R. I have installed R 1.9.0 on Linux (Fedora). Now I got an self-made package comprising R functions as well as C-Code which are used in several R functions. I installed the package without any error (see install log below). Then, I checked in /usr/lib/R/library if the package izbi exists and it exists. But whenever I try to load the library on the command line I

Hi, I'm running our local school's mail server on CentOS 7, Postfix and Dovecot. We get quite a lot of spam, so I have the following sender restrictions in my /etc/postfix/main.cf: --8<------------------------------------------------------ # Restrictions SMTP smtpd_helo_restrictions = reject_unknown_helo_hostname smtpd_sender_restrictions = reject_unknown_sender_domain,

--lHuqAdgBYNjQz/wy Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Content-Transfer-Encoding: quoted-printable Hi! Since netfilter/iptables is a volunteer based effort, the project lives by more participation and involvement of it's user community. While we receive lots of code contributions (new matches/targets, patches, bugfixes, ...), there is lots of work in

On Tue, Jan 12, 2016 at 12:45:14PM -0800, Leonid Yegoshin wrote: > >The issue I have with the SYNC description in the text above is that it > >describes the single CPU (program order) and the dual-CPU (confusingly > >named global order) cases, but then doesn't generalise any further. That > >means we can't sensibly reason about transitivity properties when a third

Hi all, I am attempting to run through a large set of data and sort events by the water year (1 Oct - 30 Sep) in which they occurred. I have no problem doing this for each individual site I am looking at (so my problem is not with most of the code, just one minor thing), but when I try to loop it to do the same things for each site, I run into problems. I think the root of my problem is that

Hi, My guess is this: RSAT reads policy definitions either from central store (first) or from local (if first not found). It might be the case, that one of the policies templates was changed between windows 7 and windows 10 and now windows 7 runs into errors. Your error shows that it's trying to look for policy definition in the local store (c:\windows\PolicyDefinitions). You can google

Assuming that there is a -1 day for every day in the data frame and all the -1 days are at the beginning, try this where k[match(id, id)] is the vector of corresponding day -1 k-values: DF <- data.frame(id = c(56, 63, 73, 56, 63), day = c(-1, -1, -1, 2, 2), k = c(566, 680, 773, 298, 273)) transform(DF, percent = 100 * k / k[match(id, id)] - 100) Also, please use meaningful subject headings

On Thu, Aug 01, 2019 at 12:47:54PM +0200, Stefano Garzarella wrote: > On Tue, Jul 30, 2019 at 04:42:25PM -0400, Michael S. Tsirkin wrote: > > On Tue, Jul 30, 2019 at 11:35:39AM +0200, Stefano Garzarella wrote: > > (...) > > > > > > > The problem here is the compatibility. Before this series virtio-vsock > > > and vhost-vsock modules had the RX buffer

I suggest to add a panel function to levelplot (or perhaps to an other 3d lattice function) which is able to translate the z values into the size of the rectangles. It could be used to display categorical data. I append the proposed code and two examples: - panel.catlevelplot() - example1.catlevelplot.esoph() - example2.catlevelplot.esoph() Wolfram Fischer #------ CODE

Dear all, I am trying to do weighted regression using lm function in R. However, I have a question why the results from 1) lm(formula = Y~aX, weight = w) 2) lm(formula = wY~waX) are different. Aren't they supposed to have the exactly same result? Below are the R code to see difference in regression results MatY <- c(0.15,0.42,0.31,0.22) MatX <-

I seem Unable to allocate arrays of size > around 2GB in 64 bit Windows 7 R. There is a lot of main memory available. The memory.limit is set to the max memory available, and there is more than 10GB of that available when R returns an 'unable to allocate memory' error. Is this a limitation of R even in 64 bit Windows 7? Or is there a wY to get I've this? Thanks.