search for: mvoutlier

...th r-base-core, r-base-dev and r-recommended installed from binaries through Synaptic. I normally install the rest of packages using install.packages() from within R (started from an xterminal by su) Agus -----Message 1----- > Dear Martin, > I'm trying to install packages robustbase and mvoutlier on ubuntu 8.04 > but get the following problem: > gcc -std=gnu99 -shared -o robustbase.so R-rng4ftn.o init.o lmrob.o mc.o qn_sn.o rf-common.o rffastmcd.o rfltsreg.o wgt_himed.o -L/usr/lib/R/lib -lRlapack -lblas -L/usr/lib/gcc/i486-linux-gnu/4.2 -lgfortran -lm -L/usr/lib/gcc/i486-linux-gnu/4.2...

Hi, I am new to R and I would like to get your help in finding 'outliers'. I have mvoutlier package installed in my system and added the package . But I not able find a function from 'mvoutlier' package which will identify 'outliers'. This is the sample list of data I have got which has one out-lier. 11489 11008 11873 80000000 9558 8645 8024 8371 It will be of g...

I haven't seen this cryptic warning before: > update.views('Robust') Warning message: In update.views("Robust") : The following packages are not available: covRobust, distr, FRB, MASS, mblm, multinomRob, mvoutlier, quantreg, RandVar, rgam, RobAStBase, robfilter, RobLox, RobRex, robust, RobustAFT, robustbase, ROptEst, ROptRegTS, rrcov, sandwich, wle > library(covRobust) > It is puzzling because — as the second command shows — the package covRobust is installed. Here is my > sessionInfo() R version...

...to define the colors in it. I will try to explain my graph, but i also uploaded it at: ftp://ftpext.usgs.gov/pub/er/fl/st.petersburg/Monica_pal/ The file is: robcor_training_pca.pdf - i will also attach this file in case some people accept attachments. So i took apart the cor.plot function from mvoutlier and i used instead of the scatter plot function the smooth scatter density plot from geneplotter, generating my own function called cordens.plot. Now i would like to add a colorbar on the right side of the graph with red as my highest density and purple as the lowest density and right next to the c...

...ntal data. Functional response of Rogers type II. I would like to know which points of my dataset are outliers. What is the best method to do this with R? I found a method via R help, but would like to know if there are better methods for my purpose. Here is the script I us now: library("mvoutlier") dat <- read.delim("C:/data.txt") uni.plot(dat) My data looks like the following (copied into a txt file): (N0 is the initial number of eggs fed to the predator, FR is the number of eggs eaten by the predator during 24h) N0 FR 37 30 27 15 36 14 37 13 4...

I figured this out so I wanted to post a response to my own question. Thanks to Brian Ripley for his hint, which got me looking in the right direction. The plot I had seen before that I wanted was automatic output to the cor.plot command in the mvoutlier library. A similar tolerance ellipse can be obtained from the covPlot command in the robustbase library, using which="tolEllipsePlot" and classic=T. Dr. Jenifer Larson-Hall Assistant Professor of Linguistics University of North Texas (940)369-8950

Hi, I am using fanny and I have estrange results. I am wondering if someone out there can help me understand why this happens. First of all in most of my tries, it gives me a result in which each object has equal membership in all clusters. I have read that that means "the clustering is entirely fuzzy". Looking at the graphics it is really difficult to understand how objects with so

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CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):