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Hi there! I tried to work with Sweave, assuming that it is part of the standard installation - which it was not for my system. Trying to install, it gives me this error message: > install.packages("Sweave") Warning message: In getDependencies(pkgs, dependencies, available, lib) : package ?Sweave? is not available My system data are: > sessionInfo()

Hello :) I wanted to right an expression to check when x and y have the same sign and I wrote the following: if ((x<0 && y<0) || (x>0 && y>0)) which looks pretty ugly to me. Can you please suggest me a better way for that? Regards Alex

Hi All, I have a scatter plot produced using ggplot2 and I want to add the regression line to this scatter plot. I suppose I can use geom_smooth() to do this, but for the sake of learning ( I am new both to R and ggplot2), I want to try and add it as a function (something that curve() does in the standard R plotting). I did some search and found that stat_function() can be used for this. But

I would like to code the following in R: a1(b1+b2+b3) + a2(b1+b3+b4) + a3(b1+b2+b4) + a4(b1+b2+b3) or in summation notation: sum_{i=1, j\neq i}^{4} a_i * b_i I realise this is the same as: sum_{i=1, j=1}^{4} a_i * b_i - sum_{i=j} a_i * b_i would appreciate some help. Thank you. -- View this message in context: http://r.789695.n4.nabble.com/summation-coding-tp4646678.html Sent from the R

Hi, I downloaded a dataset from UCI repositories named Bag of Words: http://archive.ics.uci.edu/ml/machine-learning-databases/bag-of-words/readme.txt The dataset is in a text file with the following structure: --- docID1 wordID1 count docID1 wordID2 count docID1 wordID3 count docID1 wordID4 count ... docID2 wordID2 count docID2 wordID5 count docID2 wordID6 count --- Where docIDx is an integer

Hi, Can R read open office.org Calc files Thanks -- Shane [[alternative HTML version deleted]]

This is probably embarrassingly basic, but I have spent quite a few hours in Google and RSeek without getting a clue - probably I'm asking the wrong questions... There is this guy who has decided to walk through Australia, a total distance of 4000 km. His daily portion (mean) is 40km with an sd of 10 km. I want to calculate the number of days it takes to arrive with 80, 90, 95, 99%

Is there any way to format the headers of data frames, for printing? I am using Sweave to generate formatted reports. In Sweave, I read in a data.frame: result <- read.table(path.to.table); then display it: print.data.frame(result); This gives me what I expect in the eventual final output: Record Average Maximum 1 34

Hi, I've got a big problem with a cx88 DVB card. It is passed through to a CentOS 5.3 domU (dom0 is CentOS 5.3 as well), but when I shutdown the domU, this happens: cx88[0]: mpeg risc op code error cx88[0]: mpeg - dma channel status dump cx88[0]: cmds: initial risc: 0xffffffff cx88[0]: cmds: cdt base : 0xffffffff cx88[0]: cmds: cdt size : 0xffffffff cx88[0]: cmds: iq base

Hi, I am using R and latex for generating report. I need R result to be in bold face. For instance. x<-c(1,0,2,4) I need to print its output in bold face. x *1 2 3 4* I attempted to use textbf{} but can not write R output inside it. How can i implement it. Thanks in advance. Regards -- View this message in context:

Dear R users, I have weekly data in the following manner [,1] [,2] [,3] [,4] 6 2 2 2 5 4 4 3 6 35 2 13 7 32 3 5 4 4 423 3 3 6 4 5 5 6 5 3 I drew curve of each column against days (1,2,3,4,5,6,7). Now I want to draw an average curve (a representative curve) of the whole data. Is there a way in R to perform such operation? please reply ASAP as i have an assignment to submit on monday. Thanks

Hello, I have stings which have all sort of characters (numbers, letters, punctuation marks, etc) I would like to stay only with the numbers in them, does somebody know how to do this? Thank you Felipe Parra [[alternative HTML version deleted]]

Reading in the data from the file x <- read.csv( "ExampleData.csv", header = TRUE, stringsAsFactors = FALSE ) Subsetting as you want x <- x[ x$Location != "MW01", ] This selects all rows where the value in column 'Location' is not equal to "MW01". The comma after that ensures that all columns are copied into the amended data.frame. Rgds,