similar to: New Package: geozoo. High-Dimensional Geometric Objects

Hi, A following function was kindly provided by GGally?s maintainer, Barret Schloerke. function(data, mapping, ...) { p <- ggplot(data = data, mapping = mapping) + geom_point(color = I("blue")) + geom_smooth(method = "lm", color = I("black"), ...) + theme_blank() + theme(panel.border=element_rect(fill=NA, linetype =

Barret Schloerke wrote: > GGally: a companion to GGplot2. > Where is it available? I don't find it on CRAN or R-Forge -- Michael Friendly Email: friendly AT yorku DOT ca Professor, Psychology Dept. York University Voice: 416 736-5115 x66249 Fax: 416 736-5814 4700 Keele Street http://www.math.yorku.ca/SCS/friendly.html Toronto, ONT M3J 1P3 CANADA

GGally: a companion to GGplot2. GGally is a package built to produce plot matrices without the hassle of making viewports and labels yourself. GGally is built upon the GGplot2 framework. Keeping the functionality and feel of ggplot, GGally has shortened common function calls and added a few new ones. ggpairs, the main function within GGally, will take your data set and produce a plots

GGally: a companion to GGplot2. GGally is a package built to produce plot matrices without the hassle of making viewports and labels yourself. GGally is built upon the GGplot2 framework. Keeping the functionality and feel of ggplot, GGally has shortened common function calls and added a few new ones. ggpairs, the main function within GGally, will take your data set and produce a plots

R Users and Developers, Online registration for useR! 2007 is now available on the conference web site. The deadline for the early registration discount has been extended to May 15. We haven't had many contributed papers as yet, or requests for travel support from young researchers and graduate students. Please consider contributing a paper, and encouraging your students and young faculty to

R Users and Developers, Online registration for useR! 2007 is now available on the conference web site. The deadline for the early registration discount has been extended to May 15. We haven't had many contributed papers as yet, or requests for travel support from young researchers and graduate students. Please consider contributing a paper, and encouraging your students and young faculty to

The R Foundation has elected five new ordinary members in recognition of their contributions to the R project: * Jennifer Bryan? ??https://www.stat.ubc.ca/~jenny/ * Diane Cook? ??http://dicook.github.io/ * Julie Josse? ??http://juliejosse.com/ * Tomas Kalibera ??https://github.com/kalibera? * Balasubramanian Narasimhan ??https://statistics.stanford.edu/people/balasubramanian-narasimhan On behalf

The R Foundation has elected five new ordinary members in recognition of their contributions to the R project: * Jennifer Bryan? ??https://www.stat.ubc.ca/~jenny/ * Diane Cook? ??http://dicook.github.io/ * Julie Josse? ??http://juliejosse.com/ * Tomas Kalibera ??https://github.com/kalibera? * Balasubramanian Narasimhan ??https://statistics.stanford.edu/people/balasubramanian-narasimhan On behalf

The FreeBSD Project is pleased to announce its participation in the Google "Summer of Code" program designed to introduce students to open source software development. The FreeBSD Project received over 350 applications, amongst which 18 projects have been selected for funding. Unfortunately, due to the limited number of spots available, we were unable to fund many first rate

Hi, I have a bunch of data which is assumed to be instances of a geometric random variable with outliers. How can I do a robust estimation of the parameter p so that the effect of outliers is minimized? As a part of the estimation process, I also need to know which are the outliers in the data. I found glmrob which does robust estimation of Poisson and binomial random variables but not geometric

Hello folks, I'm seeking opinions about the validity of the following use of the nls function... A colleague and myself are working with tree allometric data consisting of measurements of individual trees in semi-arid Australian woodland species. We need to make predictions of trunk diameter (DBH: diameter at breast height) given tree height and vice versa. I _think_ this falls into the

Dear list, I have got an array with observational values t and I would like to fit a geometric distribution to it. As I understand the geometric distribution, there is only one parameter, the probability p. I estimated it by 1/mean(t). Now I plotted the estimated density function by plot(ecdf(t),do.points=FALSE,col.h="blue"); and I would like to add the geometric distribution. This

Hi: I need to compute the geometric mean of a population. How i can do it?? thanks. Jorge M. A. Magalhae -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request

Hi, With R version 2.10.0 (2009-10-26) on Windows, I computed the p=1.e-20 quantile of the geometric distribution with parameter prob=0.1. > qgeom(1.e-20,0.1) [1] -1 But this is not possible, since X=0,1,2,... I guess that this might be a bug in the quantile function, which should use the log1p function, instead of the naive formula. Am I correct ? Best regards, Micha?l

Does anyone know how to approach R code for the MLE of a geom. distribution? thanks! [[alternative HTML version deleted]]

Is there a function or an easier way to computer geometric means of each rows in a nxn matrix and spit out in an 1xn matrix ? -- Edward Chen [[alternative HTML version deleted]]

Hi All, I need to calculate the median for even number of data points.However instead of calculating the arithmetic mean of the two middle values,I need to calculate their geometric mean. Though I can code this in R, possibly in a few lines, but wondering if there is already some built in function. Can somebody give a hint? Thanks in advance [[alternative HTML version deleted]]

Hi all, I need to check for a difference between treatment groups in the parameter of the geometric distribution, but with a cut-off (i.e. right censored). In my experiment I stimulated animals to see whether I got a response, and stopped stimulating if the animal responded OR if I had stimulated 10 times. Since the response could only be to a stimulation, the distribution of response times

?Dear All I have some data expressed in geometric means and 95% confidence intervals. Can I code them in metafor as: rma(m1i=geometric mean 1, m2i=geometric mean 2, sd1i=geometric mean 1 CI /3.92, sd2i=geometric mean 2 CI/3.92.......etc, measure="MD") All of the studies use geometric means. Thanks! Edward ---------------------------- [[alternative HTML version deleted]]

---------- Forwarded message --------- From: Sahil Sharma <sahilsharmahimalaya at gmail.com> Date: Tue, Oct 17, 2023 at 12:10?PM Subject: r-stats: Geometric Distribution To: <do-use-Contact-address at r-project.org> Hey I want to raise one issue in *r-stats **geometric distribution * function. I have found the dgeom(x,p) which denotes probability density function of geometric