similar to: sma package, and MouseArray data set

Hi all I love Sweave; use it all the time. But I recently received a new computer, and ever since I have had a problem I've never seen before. For example, I place the following in my Snw file: <<>>= sms <- read.table("http://www.sci.usq.edu.au/staff/dunn/Datasets/applications/popular/smsspeed.dat", header=TRUE) attach(sms) sms.lm <- lm( Time ~ Age*Phone,

Hi all I know about producing a minimal example to show my problem. But I'm having trouble producing a minimal example that displays this behaviour, so please bear with me to begin with. Observe: I create an array called model.mat. Some details on this: > str(model.mat) num [1:18, 1:4] -0.170 -0.304 -2.617 2.025 -1.610 ... - attr(*, "dimnames")=List of 2 ..$ : chr

Hello everyone, I am trying to plot an MvA plot with the following code: dat<-read.table(file="C:\\Documents and Settings\\.....txt",header=T) file.show(file="C:\\Documents and Settings\\Ow.......txt") library(sma) data(MouseArray) dat.o<-as.list(dat) dat.o$R.2<-as.matrix(dat[,c(1:5)]) dat.o$G.2<-as.matrix(dat[,c(6:10)]) dat.o$Gb.2<-as.matrix(dat[,c(11:15)])

I tried different versions of sma**.tar.gz file either with "R CMD INSTALL -l packagepath sma**.tar.gz", "R INSTALL -l path sma**.tar.gz" and under R windows by "install.packages("sma_0.5.15.tar.gz",repos=NULL)" . I got same error ====== * installing *source* package 'sma' ... ** Creating default NAMESPACE file Warning in .write_description(db,

Hi, Just wondering for the SMA and EMA in package TTR, is it possible to me to code it so that, say if I need to calculate SMA (x, n=100), when the sample size is less than 100, it will give me the SMA (x, k) where k is the sample size of the data? Right now it only gives me an invalid n error. Thanks! [[alternative HTML version deleted]]

in the sma library, I m trying to use stat.t2 but I don t know what the parameter cl actually means!! cheers

Hello, I have a minimal example that shows a problem I'm having with parallel processing. library(parallel) mcmapply(function(x, y) { print("Running") Sys.sleep(10) }, as.list(1:10), as.list(10:1), mc.cores = 16, SIMPLIFY = FALSE) I see "Running" printed once every ten seconds. I read the documentation for mcmapply, but I don't understand why it wouldn't

Hi all Observe: x <- c(1,2) y <- c(1,-1) phi <- 1 p <- 2 par( mfrow=c(1,2)) plot(x , y, main=bquote( paste( p==.(p)," and ",phi==.(phi)) ) ) plot(y ~ x, main=bquote( paste( p==.(p)," and ",phi==.(phi)) ) ) par( mfrow=c(1,2)) On my system (details below), the first plot is correct (in my understanding), and produces a title reading "p=2 and phi=1"

I have loaded price data for GE and then calculated a 50 day simple moving average. Then I have a created a ifelse statement that produce a 1 when GE's closing price is above the simple moving average and a 0 when GE Closing price is below the 50 day simple moving average. However, what I really want to do is to produce a 1 for when the price is above the simple moving average for 3 days

The documentation states : An alternative parametrization (often used in ecology) is by the mean ?mu?, and ?size?, the dispersion parameter. However, this fails : > rnbinom(10, mu = 100, size = 0) [1] NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN Warning message: In rnbinom(10, mu = 100, size = 0) : NAs produced For dispersion set to 0, it should work like drawing from a Poisson distribution.

I have an S4 object class defined in a Bioconductor package which contains multiple slots, some of which are tibbles, whilst others are vectors. If I call slot(object, name) where 'name' is an slot that contains a vector, everything works as expected. However, when I call slot(object, name) where 'name' is an slot that contains a tibble I get the following warning: Warning

Hi, I'm trying to use Frank Harrell's Design:::ols function to do regression of y (numeric) on the interaction of two factors (x1 and x2), but Lapack throws an error: > library(Design) ... > load(url("http://www.csse.unimelb.edu.au/~gabraham/x")) > ols(y ~ x1 * x2, data=x) Error in chol2inv(fit$qr$qr) : 'size' cannot exceed nrow(x) = 20 > traceback()

Full_Name: Ross Darnell Version: 2.4.1 OS: Linux Submission from: (NULL) (130.102.133.33) rdarnell at pc:~/Data$ ls -al .RData -rwxrwxrwx 2 root root 13551 2006-12-06 08:58 .RData rdarnell at pc:~/Data$ R R version 2.4.1 (2006-12-18) Copyright (C) 2006 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to

Hello, I have a seemingly simple problem that a tab-delimited file can't be read in. > annoTranscripts <- read.table("matched.txt", sep = '\t', stringsAsFactors = FALSE) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 5933 did not have 12 elements However, all lines do have 12 columns. > lines <-

Bug summary: glm() causes a segfault if the argument 'data' is a data frame with more than 16384 rows. Bug demonstration: -------input --------------- N <- 16400 df <- data.frame(x=runif(N, min=1,max=2),y=rpois(N, 2)) glm(y ~ x, family=poisson, data=df) ------ output --------------- *** caught segfault *** address (nil),

I'm observing the following on different platforms: > parse(text='"\\x7F"') expression("\177") > parse(text='"\\x80"') Error: invalid multibyte string ... > parse(text='"\\xFF"') Error: invalid multibyte string However, cat("\x7F\n\x80\n...\xFF\n") works. Using R --vanilla. SYSTEMS GIVING THE ERROR: >

Hello, The e1071 function naiveBayes gives an error when called by do.call, although it doesn't give any error if I call it manually. Browse[1]> trainParams at classifier function (x, ...) UseMethod("naiveBayes") <environment: namespace:e1071> Browse[1]> trained <- do.call(trainParams at classifier, paramList) Error in names(dimnames(tables[[i]])) <- c(Yname,

Hola a todos, Me gustaria leer el texto que se encuentra en http://dl.dropboxusercontent.com/u/9601860/txt.txt He intentado txt <- 'http://dl.dropboxusercontent.com/u/9601860/txt.txt' r <- scan(txt) #Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : # invalid multibyte string at '<ff><fe>M' r <- read.table(txt, header = FALSE)

Buenas tardes a tod@s, Estoy incursionando en el analisis de tweets utilizando el paquete twitteR y siguiendo http://www.webmining.cl/2012/07/text-mining-de-twitter-usando-r/ Desafortunadamente cuando ejecuto # cargar librerias library(twitteR) library(tm) library(wordcloud) # recolecta tweets de @camila_vallejo tweets = userTimeline("camila_vallejo", 2000) obtengo Error in

Muchas gracias Marcelino. Desafortunadamente al ejecutar el ejemplo que aparece en ?registerTwitterOAuth obtengo twitCred$handshake() Error: Unauthorized registerTwitterOAuth(twitCred) Error in registerTwitterOAuth(twitCred) : oauth has not completed its handshake Alguna otra sugerencia? Muchas gracias! Jorge.- 2013/7/25 Marcelino de la Cruz <marcelino.delacruz@upm.es> > Mira