similar to: R-2.7.0 RC (2008-04-20 r45403) fails fullcheck

Following my previous post on S3 method despatch, I put debug messages in the code of Axis, Axis.default and plot.default in graphics/R/axis.R and graphics/R/plot.R to print the class of x, at and y on plot. After recompiling R, what I see is that x *lost* its class attribute (at least for classes not known to 'graphics') in Axis, called directly from plot.default and this could be the

Saludos colegas. Estoy intentando cargar un archivo arff con el paquete RWeka pero me lanza el error FileNotFoundException cuando intento ejecutar la instrucción en R. Este es el código: datos<- read.arff(system.file("arff","cereals.arff", package = "RWeka")) El archivo cereals.arff y el script con el código R están en el mismo directorio, sin embargo, no me

Dear developers: I have observed a change in the behaviour of S3 method despatch (as I guess related to namespaces) between 2.6.2 and yesterday's 2.7.0 RC and would be grateful if you could comment on that: the 'Axis' function in the 'graphics' namespace calls UseMethod("Axis",x), internally to despatch on the S3 Axis method depending on the type of the argument.

R version 2.7.0 RC (2008-04-20 r45403) When using semi-transparent filled plotting symbols, the border of the symbol has a different (darker) colour than the interior: plot(0, 0, pch=19, col="#FF000022") (Saving this as a PDF and looking at it magnified may make it easier to see.) This is pretty annoying, since when plotting partially overlapping points, the border colour dominates,

I have been trying out R-1.6.0 tarballs (2002-9-10 and 2002-9-17) on: arch sparc os solaris2.8 system sparc, solaris2.8 status beta major 1 minor 6.0 year 2002 month 09 day 17 language R As you see form above, R-1.6.0 compiles fine and works. However, when I "make fullcheck" I get the following error: running code in 'tools-Ex.R' ... OK

Hi, I am trying to read in a large and highly sparse ARFF file into R which was produced by WEKA. However the package 'RWeka' just chokes on this file. The data set has about 40k observations and about 20k dimensions. Even after 1hr read.arff method of RWeka is still trying to read in the file, whereas WEKA is able to read it in in less than 20seconds. What are my options at this

Full_Name: Martin C. Martin Version: 2.7.1 OS: Ubuntu Submission from: (NULL) (75.150.115.86) The function write.arff, in the foreign library: - Can produce relation names with invalid characters - Doesn't use colnames() for attribute names when writing a matrix. Here's a better version: write.arff <- function (x, file, eol = "\n") { if (file == "")

I'm having trouble using the read.mtp function in the foreign package to import datasets from minitab (.mtw) format. Specifically, each file I try to import fails to load any data beyond a header row stating the version of Minitab that saved the dataset. I get this error: incomplete final line found by readtableHeader on 'income.mtw' The dataset appears to be complete (ie, using

Does anybory knows any work comparing R with other (charged) statistical softwares (like Minitab, SPSS, SAS)? I work in a brasilian government bureau and I intend to use R as our preferable statistical software, but I have to show it's as good as the others. I also intend to use Weka, and for this one I have the same problem. Can anyone help me? Thanks René M. Raupp e-mail: rener@mpdft.gov.br

Hi I am performing an analysis of variance with two factors, each with two levels. I have differing numbers of observations in each of the four combinations, but all four combinations *are* present (2 of the factor combinations have 3 observations, 1 has 4 and 1 has 5) I have used both anova(aov(...)) and anova(lm(...)) in R and it gave the same result - as expected. I then plugged this into

Dear All, Would like to ask the inconsistency in the autocorrelation from R with SPSS/Minitab. I have tried a dataset x with 20 data (1-20) and ask R to give the autocorrelation of different lags using the command < acf(x, lag.max=100, type = "correlation"), However while SPSS and Minitab give the same answers (0.85 for lag1), R gives 0.3688 which is much smaller. Obviously, the

Sir, This query is related to randomForest regression using R. I have a dataset called qsar.arff which I use as my training set and then I run the following function - rf=randomForest(x=train,y=trainy,xtest=train,ytest=trainy,ntree=500) where train is a matrix of predictors without the column to be predicted(the target column), trainy is the target column.I feed the same data

Dear R list, I have been trying to do a linear model, extracting the effect of a covariate.... and the results do not match, when I do it with other programs (e.g. minitab).... so it is obvious that I was doing something wrong. Whan I do it with minitab, I have this results: (sector is a factor and depth is the covariate): Source DF Seq SS Adj SS Adj MS F P

Dear List: A while back I found a web site called the Rosetta Stone for Computer Algebra Systems showing how to do similar operations in different symbolic programs. This has been very helpful for moving between Mathematica, Yacas and Maxima. I wonder if anyone maintains something akin to this for translating R to SAS, Minitab, Stata etc? I am familiar with the various (useful) reference

Hola, es la primera lista en la que participo, espero no meter mucho la pata y aprender rápido, se ruega comprensión. Simplemente me gustaría saber la forma de importar datos desde un archivo ".sf3' de Statgraphics. Creo que ese es un programa bastante difundido, pero no lo tengo y en principio no quiero tenerlo porque no es libre. Pero encuentro referencias a todo (piInfo, Minitab,

Hi, I ran a small data set from a factorial experiment through R, Minitab and JMP... the result from R is significantly different from what Minitab or JMP give... The data set is at the following link: http://www.personal.psu.edu/nug107/Uploads/2x3_16repsANOVA.txt The first 5 columns are the factors and the next three are responses. In particular, for the response beta11MSE, two of the

Hi R-help. I am trying to run a linear mixed model with nested factors with either lme or lmer and I am having no luck obtaining the same results as Minitab. Here is Minitab's code: MTB > GLM 'count' = site year replicate(site year) site*year; SUBC> Random 'year' 'replicate'; Can you tell me how to code this in R? The settings are typeII, Tukey,

Hello, Given a probability function: p(x) = 12 / (25(x+1)) , x=0, 1, 2, 3 we generate the following values: C1 C2 0 0.48 1 0.24 2 0.16 3 0.12 Now, I'm supposed to create 50 random values using this table. In MiniTab, I simply selected Calc -> Random Data -> Discrete, and selected the columns, and it created 50 random values in a new column.[1] How do I do the

I recently downloaded R for Windows, running on Win XP. I'm trying to create a perspective plot but not having any luck after reading the R manual and several examples found on the Internet. I have a 100 x 100 matrix of Z data as a tab-delimited text file exported from Minitab. I read this in to R using read.delim; this seemed to go ok. I created X and Y using seq() to get 100 divisions

Does anyone else miss email-friendly character graphics such as the following example, produced using Minitab? Histogram of C6 N = 478 N* = 21 Each * represents 2 observation(s) Midpoint Count -12 16 ******** -11 53 *************************** -10 63 ******************************** -9 83