Hi everyone
Since I updated package 'ffbase', subset.ffdf does not work with bit vectors
anymore. Here is a short example:
data(iris)
library(ffbase)
iris.ffdf <- as.ffdf(iris)
index <- sample(c(FALSE,TRUE), nrow(iris), TRUE)
index.bit <- as.bit(index)
subset(iris.ffdf, subset=index.bit)
resu
Dear all
I am having trouble with subsetting an ffdf object, hopefully somebody can
help...
I have an index, which is a ff object of vmode "logical":
> index.SAS
ff (open) logical length=4977231 (4977231)
[1] [2] [3] [4] [5] [6] [7] [8]
Dear R Users
This is a summary of the things I tried with read.table.ffdf and fixed-width
files. I would like to thank Jan Wijffels and Jan van der Laan for their
suggestions and the time they spent on my problem!
My objective was to import a file with 6'079'455 lines and 32 variables using
th
Jan,
Many thanks for your suggestion! The code runs perfectly fine on the test set.
Applying it to the complete data set, however, results in the following error:
> while (TRUE) {
+ lines <- readLines(con, encoding='LATIN1')
+ if (length(lines) == 0) break
+
Dear Jan
Many thanks for your help. In fact, all lines are shorter than my column
width...
my.column.widths: 238
range(nchar(lines)):235 237
So, it seems I have an inconsistent file structure...
I guess there is no way to handle this in an automated way?
Best Regard
Christian Kameni
Dear all
I was trying the (fairly new) LaF package, and came across the following
problem:
I opened a connection to a fixed width ASCII file using
laf_open_fwf(my.filename, my.column_types, my.column_widths, my.column_names)
When looking at the data, it turned out that \n (newline) and \r (carr
Dear all
I am working on Windows 7 32-bit, and the ff- package is my daily life-saver to
overcome the inherent memory limitations. Recently, I tried using
read.table.ffdf to import data from a fixed-width ASCII file (file size:
1'440'865'015 Bytes) with 6'079'455 lines and 32 variables using th
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