similar to: Results of MCD estimators in MASS and rrcov

Displaying 20 results from an estimated 100 matches similar to: "Results of MCD estimators in MASS and rrcov"

2011 Jul 13
2
Package rrcov, functions PcaCov, PcaHubert, PcaGrid
Hello, I'm using the R-2.13.1 version in Windows and I'm trying to do a robust Pca with the following: x<-matrix(0.5,30,30) library("rrcov") y<-PcaCov(x) The following error occurs: Error: diff(sv)<0 ist not all TRUE The same error occurs with the other functions. What does this mean and how can I perform the robust PCA with these functions by using a quadratic
2009 Nov 16
1
specifying group plots using panel.groups
Hi, I am trying to plot two types of data on the same graph: points and distributions. I am attempting to use the panel.groups function, but cannot seem to get it to work. I have a melted data set and put in a FLAG column to separate my data into the two groups that I would like to plot, point data (FLAG=0) and the distribution(FLAG=1). Here is the code i am using in R: stripplot(
2004 Apr 25
2
package fdim slopeopt error (PR#6819)
Full_Name: Fred J. Version: 1.8.1 OS: windows 2000 Submission from: (NULL) (203.26.24.216) platform i386-pc-mingw32 the error can be duplicated as follows > rt <- data.frame(8:15, 7:14, 6:13, 5:12, 4:11, 3:10, 2:9, 1:8) > library(fdim) > FD <- (fdim(rt,q=2)) Error in slopeopt(AllPoints, Alpha) : Object "LineP" not found
2014 Sep 18
0
"no visible global function definition" using R-Devel check utility
Hello All If I check the package fAssets using R-3.1.1 (2014-07-10 under Windows) I don't get any notes. If I do the same using R-Devel (2014-09-17 r66626 under Windows) I get the following note: . assetsMeanCov: no visible binding for global variable 'scaleTau2' . I'll try to explain why with a minimal example. Let's have a look at the following function: assetsMeanCov
2007 Jul 03
1
MASS library rob.cov ellipse
Hi, I used to get a really useful graph when I ran the following command using the MASS library: > cov.rob(cbind(dekeyser$AGE,dekeyser$GJTSCORE),cor=T) Besides the regular output, a graph appeared that had the classical correlation and the robust correlation, and two ellipses, one surrounding the data that would be used in the classical correlation and the other surrounding the data in the
2004 Jul 14
2
MASS package?
Did the MASS package disappear? Specifically, I'm looking for a function to find the MCD (robust measure of shape and location) for a multi-dimensional data matrix. Anyone know anything about this? Thanks, Jo Jo Hardin Assistant Professor Department of Mathematics Pomona College 610 N. College Ave. Claremont, CA 91711 909-607-8717 jo.hardin@pomona.edu [[alternative
2008 Sep 18
3
Oja median
Hi, Can we get the code for calculating Oja median for multivariate data Thanks and Regards Rahul Agarwal Analyst Equities Quantitative Research UBS_ISC, Hyderabad On Net: 19 533 6363 [[alternative HTML version deleted]]
2002 Aug 15
0
Behaviour of cov.rob/MCD
Dear list, here is something I do not understand about cov.rob. > dat <- rmvnorm(200,rep(0,10),diag(10)) > cov.rob(dat,method="mcd") > cov.rob(dat,method="mcd",quantile.used= floor(3*211/4)) # All fine; default for quantile.used is floor(211/2) > dat <- rmvnorm(20,rep(0,10),diag(10)) > cov.rob(dat,method="mcd") # quantile.used is floor(31/2).
2006 Sep 25
0
Sampling distribution of correlation estimations derived from robust MCD and MVE methods
Dear R users, I am trying to use MCD and MVE methods in the analysis of functional imaging (fMRI) data. But, before doing that, I want to understand the sampling distribution of the correlation parameter given by MCD and MVE (cov.mcd$cor, cov.mve$cor). To this end, I conducted a simulation where in each of 100000 epochs, I a. construct a matrix from two vectors, each containing 40 numbers
2006 Sep 25
0
[PlainText Attempt] Sampling distribution of correlation estimations derived from robust MCD and MVE methods
Dear R users, I am trying to use MCD and MVE methods in the analysis of functional imaging (fMRI) data. But, before doing that, I want to understand the sampling distribution of the correlation parameter given by MCD and MVE (cov.mcd$cor, cov.mve$cor). To this end, I conducted a simulation where in each of 100000 epochs, I a. construct a matrix from two vectors, each containing 40 numbers
2004 Feb 11
1
MCD-Estimator in R
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2007 Jun 08
1
Need Help with robustbase package: fitnorm2 and plotnorm2
This is my first post requesting help to this mailing list. I am new to R. My apologies for any breach in posting etiquette. I am new to this language and just learning my way around. I am attempting to run some sample code and and am confused by the error message: Loading required package: rrcov Error in fitNorm2(fdat[, "FSC-H"], fdat[, "SSC-H"], scalefac = ScaleFactor) :
2012 Apr 16
2
Problems with subset, droplevels and lm: variable lengths differ
[Env: R 2.14.2 / Win Xp] In the script below, I want to select some variables from rrcov::OsloTransect, delete cases with any missing data, and subset the data frame Oslo to remove cases for two levels of the factor litho that occur with low frequency. The checks I run on my new data frame Oslo look OK, but I when I try to fit a multivariate linear model with lm(), I am getting an error:
2014 Sep 26
1
Why is my R package still compiling with the O2 flag?
When I install an R package with cpp codes such as rrcov via CRAN (under R 3.1.1, using no Makevars file and under Ubuntu 14.04 using GCC 4.8), the cpp code is compiled with the -o3 flag (in fact, looking at the Makeconf file this seem to again be the default since R 3.1.1) But when I install my own package via CRAN it is compiled with the -o2 flag. My questions are what is causing my
2009 May 26
2
(OT) Does pearson correlation assume bivariate normality of the data?
Dear all, The other day I was reading this post [1] that slightly surprised me: "To reject the null of no correlation, an hypothsis test based on the normal distribution. If normality is not the base assumption your working from then p-values, significance tests and conf. intervals dont mean much (the value of the coefficient is not reliable) " (BOB SAMOHYL). To me this implied that in
2011 Dec 01
2
How to do Hotelling's t2 test?
Hi, I want to do a 2 sample hotelling's test but i can't figure out how. When i type T2.test it says there is no such test and when i tried library(rrcov) it says there is no such program. Cheers. -- View this message in context: http://r.789695.n4.nabble.com/How-to-do-Hotelling-s-t2-test-tp4128748p4128748.html Sent from the R help mailing list archive at Nabble.com.
2012 Mar 16
1
Change in behavior of update.views()?
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 >
2011 Oct 19
0
R classification
hello, i am so glad to write you. i am dealing now with writing my M.Sc in Applied Statistics thesis, titled " Data Mining Classifiers and Predictive Models Validation and Evaluation". I am planning to compare several DM classifiers like "NN, kNN, SVM, Dtree, and Naïve Bayes" according to their Predicting accuracy, interpretability, scalability, and time consuming etc. I have
2010 May 27
1
library installation problem, invalid regular expression in help indices
Hi, I have a strange package installation problem after update to R 2.11.0 on Fedora Core 12. A colleague of mine with the very same Fedora and R versions doesn't have this problem, while logging on to his computer but installing from my settings and into my local library path also shows the problem, so it seems to be related to some of my environment settings. Installation of several
2005 Sep 30
2
correlation question
Dear R-helpers, First, double apologies because the question is not directly related to R, and also probably quite simple. I have observed (with many data) that given 2 series X and Y cor(X,Y) and cor(log(X), log(Y)) differs only very slightly. I suspect this is because log(x) is monotonous, ... but I am unable to demonstrate it. (perhaps it is also wrong ?). Would somebody here be able and