similar to: library installation problem, invalid regular expression in help indices

Hi everybody, I''m using R on a 64-bit Ubuntu 9.04 (Jaunty). I prefer to install R packages from source, even if they are available in Synaptic. The problem is that I can''t install/compile kernlab. Everything works fine until it gets to the lazy loading part: ** preparing package for lazy loading Creating a new generic function for "terms" in "kernlab"

I have installed the 210 gplpv (debug), when I try to update them with current gplpv I get a BSOD even so when I try to uninstall them. Now I have made a bootentry that specifies NOGPLPV, what gives me a bootable system after such a crash, I found (uninstalling the leftover driver packages after getting bsod during uninstall of the main package) that uninstalling the net driver leads to bsod. Now

Good afternoon, My name is Thiago. I'm?a graduate student?and affiliated to an Anuran Bioacustic and Systematics Laboratory at UFU (Federal University of Uberl?ndia)?in Brazil.?The professor in charge of the?lab (Dr. Ariovaldo Antonio Giaretta) and I?have recently been?making use?of R, specially the packages Sound and Seewave so as to analize?anuran recordings. This software is just

Hi! I tested two different implementations of the robust MCD estimator: cov.mcd from the MASS package and covMcd from the rrcov package. Tests were done on the hbk dataset included in the rrcov package. Unfortunately I get quite differing results -- so the question is whether this differences are justified or an error on my side or a bug? Here is, what I did: > require(MASS) >

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) :

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

Recently I got introduced to two packages: {seewave} and {audio} . Turns out they both have a tool to call a system audio tool, and in both cases the name of the tool is play(). Naturally these two tools do slightly different things with different arguments. So, what should a user do, and more to the point, what should R do? If I've learned the right things about environments, I

Hello all, I'll bet this is not complicated, but I really did hunt for information on it, and tried some ideas without success. Running Windows XP and R 2.3.1 I am using the Sound package to read in .wav files, and this works fine. The R object produced is of class "sample". I want to use some of the functions in the package Seewave to do further analysis, but this package

Hi, I need to plot spectrogram of a waveform.What package offers this? -- Rajesh.J [[alternative HTML version deleted]]

Dear R-group, I am trying desperately to get this Tukey test working. Its my first time here so I hope my question is not too stupid, but I couldn't find anything helpful in the help or in the forum. I am analysing a dataset of treated grasses. I want to find out, if the grasses from different Provenances react differently. In the aov test I found a significance for the combination Treatment

Hello, I'm using R to run a acoustic analysis software called Seewave. I ask the code to extract a list of variables from my recording, and the program give ONE table for each of these. The tables consist of a two column data.frame with the time in column 1 and the frequency in column 2. However, for my purpose I need only one column with the time first and the frequency second. I tried

[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:

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

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

Hi All Please see the Rprofile file which i have modified as follows and after that when I start R then I see that R says to me "TRUE" for all the packages implying that all loaded at once. But when i try to use commands as simple as help("lm"), it doesnt work nor any of the menu "Packages" is not working. Although the regression using lm ( Y ~ X ) is working

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.

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 >

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

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

Hi, I am using robust regression, i.e. model.robust<-ltsreg(MXD~ORR,data=DATA). My question:- is there any way to determine the Robust Multiple R-Squared (as returned in the summary output in splus)? I found an equivalent model in the rrcov package which included R-square, residuals etc in it's list of components, but when I used this package the only results returned were equivalent to