similar to: bugs and misfeatures in polr(MASS).... fixed!

Happy new year, dear listers, I have a question about Rsqlite. when I fetch the data out of sqlite database, there is something like '\r\n' at the end of last column. Here is the example: Sepal_Length Sepal_Width Petal_Length Petal_Width Species 1 5.1 3.5 1.4 0.2 setosa\r\n 2 4.9 3.0 1.4 0.2 setosa\r\n 3

Hi folk, I tried this and it works just perfectly tapply(iris[,1],iris[5],mean) but, how to obtain a single table from multiple variables? In tapply x is an atomic object so this code doesn't work tapply(iris[,1:4],iris[5],mean) Thanx and great summer holidays Gianandrea -- View this message in context: http://www.nabble.com/multiple-tapply-tp18868063p18868063.html Sent from the R help

sqldf is an R package for running SQL select statements on one or more R data frames. It is optimized for convenience making it useful for ad hoc queries against R data frames. Given an SQL select statement whose tables are the names of R data frames it: - sets up the database (by default it transparently sets up an in memory SQLite database using RSQLite; however, MySQL via RMySQL, can be

sqldf is an R package for running SQL select statements on one or more R data frames. It is optimized for convenience making it useful for ad hoc queries against R data frames. Given an SQL select statement whose tables are the names of R data frames it: - sets up the database (by default it transparently sets up an in memory SQLite database using RSQLite; however, MySQL via RMySQL, can be

I've completed an experiment and want to summarize the results. There are two things I like to create. 1) A simple count of things from the data.frame with predictions 1a) Number of predictions with probability greater than x 1b) Number of predictions with probability greater than x that are really true In SQL, this would be, "Select count(predictions) from

Hola a todos.Quiero saber si existe una forma mas apropiada para hacer esto:tengo un dataframe de 40 variables y una de ellas es de fechas.lo que quiero es una tabla agregada por suma y como criterio de agrupación esta variable de fecha.en sql sería algo así: select fecha, sum(v1), sum(v2)..., sum(v39)from tablagroup by fecha; mi problema es que las vn pueden ser de dimensión cambiante, es decir,

I thought the curve function was a very flexible way to draw functions. So I could plot funtions like the following: # I created a function to produce functions, for instance: fp <- function(m,b) function(x) sin(x) + m*x + b # So I can produce a function like this ff <- fp(-0.08, 0.2) ff(1.5) # Is the same as executing sin(1.5) - 0.08*1.5 + 0.2 # Let's plot this

Hello R and BUGS users, I am writing a heirarchical model in R to send to BUGS via R2WinBUGS and I am finding it difficult to get the model to run. I seem to be having two problems. 1) I can't seem to send variables classed as factors (Month), is there a way do this? 2) Checking the Log in WinBUGS I can see that the model is Syntactically correct, but Bugs is not able to recognise the the

Hi all, I use the excellent packages rjags and cacheSweave, and unfortunately seem to have found an incompatibility between them. Below are a minimal .Rnw file and corresponding JAGS model file which illustrate the problem: *** JAGS model file; name=j.bug *** model { mu ~ dnorm(0,1.0E-5) sigma ~ dunif(0,100) for(i in 1:length(y)) { y[i] ~ dnorm(mu,sigma) } } *** *** .Rnw

Yesterday I was biten by a feature, which I find too dangerous. I wanted to use a factor `Subject?? as index into a data frame, whose row names were the levels of this factor. So there a 2 different possible interpretations of this: Either Subject is coerced to numeric or to character. The intended interpretation was, of course, `as.character(Subject)'. R did `as.numeric(Subject)??. This will

Version: 2.5.1 array() is inconsistent when given non-integral dimensions: > zz <- array(0,dim=c(4,3.01)) > dim(zz) [1] 4 3 > zz <- array(0,dim=c(201,4.05)) Error in dim(data) <- dim : dim<- : dims [product 804] do not match the length of object [814] [IMHO the code that did this is broken. My copy of it has been fixed. Consistent behavior and/or a clearer error message

Try this: fn <- "tmp.dat" x <- 1:3 dump("x",file=fn) file.info(fn) ## 9 bytes file.copy(paste("./",fn,sep=""),fn,overwrite=TRUE) file.info(fn) ## 0 bytes (!!) Normally file.copy() checks and disallows overwriting a file with itself, but it only checks whether character string 'from' is the same as character string 'to'

This is a bug/misfeature report for R CMD check. The function tools:::.check_packages_used_in_tests Gives an apparently unintended error when checking the tests in the contributed package rcdd_1.1-3.tar.gz as found on CRAN. See the script below for details. The actual error reported is totally mysterious. * checking for unstated dependencies in tests ... NOTE Error in

Just starting a new thread so that it''s easy to follow. I just submitted a patch at trac to add a new class method called "set_default_values" ( not a great name I think ), which lets you do all kinds of crazy stuff with setting default values. This ticket is at http://dev.rubyonrails.org/ticket/9093 and example pastie is at http://pastie.caboo.se/81925 It also lets you make

Respected Sir, With reference to my mail to you and the reply mail by you dated 9th and 16th January, 2013, I am sending the reproducible code in the attached document named " MODIFIED ANS ". I am also attaching the txt file named "hazModel", which is required to save in my documents folder to run the program. The file also contains the error message