similar to: how to work with big matrices and the ff-package?

*Dear R users, Ive just started using the ff package. There is a csv file (~4Gb) with 7 columns and 6e+7 rows. I want to read only column from the file, skipping the first 100 rows. Below Ive provided different outcomes, which will clarify my problem * > sessionInfo() R version 2.14.2 (2012-02-29) Platform: x86_64-pc-mingw32/x64 (64-bit) locale: ... attached base packages: [1] tools

Hi, The read.csv.ffdf function in package ff will create the ff object physical file in the default directories, I am trying to let the files created in the paths users specify, I think the point is to make use of the asffdf_args parameter, I have a test CSV file named D:\rtemp\fftest.csv, the content of the file is as following: col1,col2,col3 1,"amber",2.4 2,"linda",4.5

Hi everyone, my apologies if I'm overlooking something obvious in the documentation. I'm relatively inexperienced with the (awesome) ff package. My goal is to use the read.table.ffdf() function to call the read.fwf() function and pass through the colClasses and comment.char arguments. The code below shows exactly what doesn't work for me. If the colClasses and comment.char

I've spent some time trying to wrap my head around reading in large csv files with the ff-package. I think I know how to do it, but am bumping into some problems. I've tried to recreate the issues as best as I can with a smaller example and maybe someone can help explain the problems. The following code just creates a csv file with an integer column, character column and logical column.

Hello. I'm using as.ffdf(mydataframe) to create ffdf objects inside an lapply loop and returning that. I then use crbind to combine the lapply results into allData. So...simplified flow looks like this. res <- lapply(1:nchunks, function(n) { blah blah with nth chunk mydataframe <- data.frame(blah blah) dat <-

Hi My aim is to read a large .csv file into R. I ran the following code and am using R version 10.1 on Windows. >library(ff) > read.csv.ffdf(x=NULL,"file.csv",fileEncoding="",nrows=-1,first.rows=NULL,next.rows=NULL,levels=NULL,appendLevels=TRUE,FUN="read.table",transFUN=NULL,asffdf_args=list(),BATCHBYTES=getOption("ffbatchbytes"),VERBOSE=FALSE)

Hi, I am using version 2.1-1 of the ff package. I have a data set with 80 million rows and I need to create a new ffdf object, subseting by values in one of the original ffdf's columns. Here is my code: bigData <- read.table.ffdf(file="/data/demodata/data/smallData.txt", next.rows=1e5, head=TRUE, sep="|") dim(bigData) N <- nrow(bigData);N select <- ff(

I'm having trouble getting ffdfindexget to work right in Windows. Even the most trivial of examples gives me problems. > myVec = ff(1:5) > another = ff(10:14) > littleFrame = ffdf(myVec, another) > posVec = ff(c(2, 4), vmode = 'integer') > ffdfindexget(littleFrame, posVec) Error in if (any(B < 1)) stop("B too small") : missing value where TRUE/FALSE

Hi, I am running the examples in page 70 of the ff package document, but it failed with the following error > cat("let's create some ff objects\n") let's create some ff objects > n <- 8e3 > a <- ff(sample(n, n, TRUE), vmode="integer", length=n, filename="d:/tmp/a.ff") > b <- ff(sample(255, n, TRUE), vmode="ubyte", length=n,

Dear R community, ff Version 2.1.1 is available on CRAN. It now supports large data.frames, csv import/export, packed atomic datatypes and bit filtering from package 'bit' on which it depends from now. Some performance results in seconds from test data with 78 mio rows and 7 columns on a 3 GB notebook: sequential reading 1 mio rows: csv = 32.7 ffdf = 1.3 sequential writing 1 mio

Dear R community, ff Version 2.1.1 is available on CRAN. It now supports large data.frames, csv import/export, packed atomic datatypes and bit filtering from package 'bit' on which it depends from now. Some performance results in seconds from test data with 78 mio rows and 7 columns on a 3 GB notebook: sequential reading 1 mio rows: csv = 32.7 ffdf = 1.3 sequential writing 1 mio

Hello, I frequently have to export a large quantity of data from some source (for example, a database, or a hand-written perl script) and then read it into R. This occasionally takes a lot of time; I'm usually using read.table("filename",comment.char="",quote="") to read the data once it is written to disk. However, I *know* that the program that generates

Really old subject?, so, all my apologizes for digging up but, since I also ran into this? maybe this hack can be useful to someone I propose monkey patching here: library(ff) my.as.ffdf.data.frame <- function (x, vmode = NULL, col_args = list(), ...) { rnam <- attr(x, "row.names") if (is.integer(rnam)) { if (all(rnam == seq_along(rnam))) rnam <- NULL else

Hola R, tengo las siguientes preguntas: Pregunta 1: Cargar las tablas de los datos de peliculas en R usando `ff`. Cómo se construye una columna nueva que de, para cada cliente y cada evaluación, de el número de días que han pasado desde la primera evaluación del cliente? Qué función se utiliza para verifica el consumo de memoria en las operaciones? Pregunta 2: Cómo se corre un modelo de

Hello to everyone, I'm a newbie with ff package and I´m starting to use it. I´ve been reading the ff.pdf guide and another documents and questions , but I´m really confused about some procedures I can´t see how to do. I´d want to know if it´s possible (and how) to "save" a ffdf file(s) and open it in another session, via saving it in an permanet location. Let´s supose we´re

Hi, I am mediocre at R, maybe 1000 hours experience, but I received an 8GB dataset and I don't know what to do with it. I have to do extensive analysis over it for my Honours thesis. I can't even import it. I've tried; - Splitting it up using the free csv-splitter-1.1.zip that seems to be working for everyone else (it doesn't work for me, it just outputs 1 single line). -

Dear list, I am trying to understand and use the ff package. As I had some problems saving some ff objects, and as I did not fully manage to understand the whole concept of *.ff, *.ffData and *.RData with the help of the documentation, I tried to reproduce the examples from the help of ffsave. When I ran, however : (copied from the help) message("let's create some ff objects")

Dear Experienced R Practitioners, I have 4GB .txt data called "dataset.txt" and have attempted to use *ff, bigmemory, filehash and sqldf *packages to import it, but have had no success. The readLines output of this data is: readLines("dataset.txt",n=20) [1] " "

Hello fellow R users, I am trying to read a 6.9 million row text file with 26 columns separated by spaces into R using ff. When I specify a small number for first.rows, next.rows and nrows it is read with no issue. However, when I try to specify larger next.rows values and no nrows parameter to read the entire file, I keep getting errors. Please see code below. I am trying to this on a m1.large

Dear R community, The next release of package ff is available on CRAN. With kind help of Brian Ripley it now supports the Win64 and Sun versions of R. It has three major functional enhancements: a) new fast in-memory sorting and ordering functions (single-threaded) b) ff now supports on-disk sorting and ordering of ff vectors and ffdf dataframes c) ff integer vectors now can be used as