similar to: Nuisance parameters for Geyer Saturation process.

Hello, Somehow I cannot control my envelope plots on Spatstat package. I would like to plot an envelope with no legend and also I would like to label the plot as such: >plot(envelope(data, nsim=39, main="My K Plot", legend=FALSE, xlab="Distance") But somehow the "main", "legend" and "xlab" calls do not have any effect on the plot. Can someone

Hello UseRs, I need help on how to plot several raster images (such as those obtained from a kernel-smoothed intensity function) in a layout such as that obtained from the lattice package. I would like to obtain something such as obtained from using the "levelplot" or "xyplot" in lattice. I currently use: >par(mfrow=c(3,3) to set the workspace, but the resulting plots

Hello R Users, I am trying to do a quadrat count defined by covariate properties in spatstat. I have read my elevation raster into R (from ascii) and converted to class "im" for use in spatstat. Now I have point data of class "ppp" which window is the same extent as the elevation image. I can conveniently plot the image and the points on the image as follows:

Hello R Users, I am trying to do a quadrat count defined by covariate properties in spatstat. I have read my elevation raster into R (from ascii) and converted to class "im" for use in spatstat. Now I have point data of class "ppp" which window is the same extent as the elevation image. I can conveniently plot the image and the points on the image as follows:

*Dear experts,* Please excuse me for disturbing... Right now I am struggling with GLM a bit... Would you be so kind to provide me a solution on using nuisance variables. The problem is that I have data on Depression (volumetric measurements of different brain regions) and I want to include age, gender and education as nuisance parameters in the model. In the other words I would like to model the

Hello, I have fitted a Poisson Process model in spatstat using >fit1<-ppm(points, ~elevation, covariates=list(elevation=elevation.im)) This far, everything went well, but I try to simulate the fitted model using the function: >sim1<-rmh(fit1) But I get the error message: "Extracting model information...Evaluating trend...done. Checking arguments..determining simulation

Hola! Starting with rw1071, just after starting Rgui the scope is not with Rconsole, but some other place. This means I have to do a mouse click in the Rconsole before starting to write the first command. Since I always forget this, I end up writing the first command twice. This is of course only a minor nuisance, but why is focus no longer set to Rconsole window when start-up? This is on

On Saturday, August 10, 2024 10:13 AM, Chris Green wrote: >I have several ssh keys in the ~/.ssh directory of my desktop machine. >As a result whenever I try to connect to a system which uses password >authentication I get the "Too many authentication failures" error. > >Yes, I know I can get round this by setting PreferredAuthentications but this is >rather a nuisance

On Sat, Aug 10, 2024 at 10:34:45AM -0400, rsbecker at nexbridge.com wrote: > On Saturday, August 10, 2024 10:13 AM, Chris Green wrote: > >I have several ssh keys in the ~/.ssh directory of my desktop machine. > >As a result whenever I try to connect to a system which uses password > >authentication I get the "Too many authentication failures" error. > > >

On 8/10/24 17:13, Chris Green wrote: > I have several ssh keys in the ~/.ssh directory of my desktop machine. > As a result whenever I try to connect to a system which uses password > authentication I get the "Too many authentication failures" error. > > Yes, I know I can get round this by setting PreferredAuthentications > but this is rather a nuisance to have to do

Dear R-experts, Please, excuse me for disturbing... I tried to find the answer to my question in archives without any result... I assume, this is going to look like a stupid question... I have dataset of different brain structures within two groups of subjects. But unfortunately these groups are not matched by age and gender. Would you be so kind to suggest me how (using which formula) can I

I have several ssh keys in the ~/.ssh directory of my desktop machine. As a result whenever I try to connect to a system which uses password authentication I get the "Too many authentication failures" error. Yes, I know I can get round this by setting PreferredAuthentications but this is rather a nuisance to have to do individually for all systems that use password authentication. It

Hi, I am new to R, so I am unsure of the formula to set up this analysis. I would like to run a linear model with a continuous dependent variable (brain volume) and a continuous independent variable (age) while controlling for a categorical nuisance variable (gender). Age and brain volume are correlated. There are no gender differences in age but there are significant gender differences in brain

https://bugzilla.mindrot.org/show_bug.cgi?id=1428 Summary: Banner output can be a nuisance with non-interactive use Classification: Unclassified Product: Portable OpenSSH Version: 4.3p2 Platform: All OS/Version: All Status: NEW Severity: enhancement Priority: P2 Component: sshd AssignedTo:

i have trouble in using spatstat package. i want to simulate a community under the Strauss process,which has a parameter gamma that controls interaction strength between points,and Strauss process is defined only for 0 ¡Ügamma ¡Ü 1 and is a model for inhibition between points. my problem is that in my data, many species's estimated gamma is larger than one.so if i still wanna simulate

There is a fairly new bug in wilcox.test in R-2.2.1 (stable). It wasn't there when I last taught nonparametrics in fall 2003. Line 86 of wilcox.test.R achieved.alpha<-2*psignrank(trunc(qu),n) It should be achieved.alpha<-2*psignrank(trunc(qu)-1,n) If you don't see why, decode the cookbook instructions p. 56 in Hollander and Wolfe (2nd ed.) or see

I have the following dataset: 96 plots 12 varieties 2 time points The experiment is arranged as follows: A single plot has two varieties tested on it. With respect to time points, plots come in 3 kinds: (1) varietyA, timepoint#1 vs. variety B, timepoint#1 (2) varietyA timepoint #2 vs. varietyB timepoint #2 (3) varietyA timepoint #1 vs. variety A timepoint#2 - there are 36 of each kind

Full_Name: Charles J. Geyer Version: 1.8.0 OS: i686-pc-linux-gnu (Suse 8.2) Submission from: (NULL) (134.84.86.22) Two bugs (perhaps related, perhaps independent) revealed by the same Poisson regression with offset mydata <- read.table(url("http://www.stat.umn.edu/geyer/5931/mle/seeds.txt")) out.fubar <- glm(seedlings ~ burn01 + vegtype * burn02 + offset(log(totalseeds)),

Here's a simpler example that should reproduce that error for you: ans <- utils::select.list(c("hello", "world", "again"), graphics=TRUE) Does it? FYI, I installed R 3.6.3 from source on CentOS 7 a few hours ago, and for me the above works just fine. For your immediate needs of selecting a CRAN mirror, you can set: options(menu.graphics = FALSE) as a

Frank Lorenz a ?crit : > And yes, the same "overflow" happens even when I disable Blackfin ASM > optimizations. Indeed, that shouldn't happen. Just to make sure I understand, so far there's two problems: 1) DIV32_16() in Blackfin assembly causes problems 2) The resampler overflows When you fix/workaround those two, is the encoder/decoder working correctly or are there