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Hi, I'm on my very first steps to R and so I hope that I do not ask a really stupid questions but I did not found it via R-Search, in the FAQ or Google (BTW, the name "R" is not a really good seekiong criterion ;-) ). I have a data file containing a table that containes dates and values like date\t value1\t value2, ... 01.03.2007\t 17\t 42\t ... 02.03.2007\t 2\t 3\t ...

Hello All, I was struggling with the need of creating flac files over 2GB recently. Both the command line flac and my util using stream encoder returned FLAC__STREAM_ENCODER_CLIENT_ERROR when reaching that point. Finally I made a small change in libFLAC/stream_encoder.c in file_tell_callback_ function. I replaced the ftello call to fgetpos. This seems to work very well under win32. Based on

...owing object(s) are masked from package:base : colMeans, colSums, rcond, rowMeans, rowSums I guess this is the reason why I cannot use the lmer function with this version of R. I would be very grateful if anyone could help on this. Audrey Burki -- Assistante-Doctorante Laboratoire de Psycholinguistique Exp?rimentale FAPSE Universit? de Gen?ve 40, Bd Pont d'Arve 1201 Gen?ve (0041) 22 379 91 45 http://www.unige.ch/fapse/PSY/persons/frauenfelder/audrey/audrey.html

Hi, as a bloody R beginner I failed to solve the probably simple problem to create a barplot of the following data read from a file Year A B C 2000 4 3 0 2001 2 1 3 2002 1 2 5 The Barplot should look like 5 | C 4 | A C 3 | AB C C 2 | AB A C BC 1 |

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Dear all, is there an implemented function to compute a weighted standard deviation (-like weighted.mean-) in R ? Thank's a lot in advance Johannes Schnitzler

Hi, I have some scripts creating GNUplot graphs that I would like to convert to R. It would be a great help if there would be a reasonable converter that takes over plot commands and initial settings and put these into R commands (I'm an R beginner and thus this kind of Kickstart would be helpful). Remark: Asking Google for "gnuplot to R conversion" or similar things does not

On Sun, 27 Jul 2008, S Ellison wrote: > Looking at the legend() source the filled box line colour is hardcoded : > if (mfill) { > if (plot) { > fill <- rep(fill, length.out = n.leg) > rect2(left = xt, top = yt + ybox/2, dx = xbox, dy = ybox, > col = fill, density = density, angle = angle, > border =