similar to: A couple of issues with colClasses/setAs

This seemed too advanced for r-help and is related to the recent discussion of character vectors in dataframes. Following Brian Ripley's most excellent advice, we are moving to a world in which character vectors in dataframes are always of class AsIs. The cool way of doing this seemed to be the following: > cat(c("x", "y", "z"), file = "test.txt",

Hello, We've released the int64 package to CRAN a few days ago. The package provides S4 classes "int64" and "uint64" that represent signed and unsigned 64 bit integer vectors. One further development of the package is to facilitate reading 64 bit integer data from csv, etc ... files. I have this function that wraps a call to read.csv to: - read the "int64"

I'm trying to resolve a small problem that has arisen from introducing a NAMESPACE for the package SparseM. Prior to the namespace I had a class "matrix.diag.csr" that consisted of diagonal sparse matrices. It was defined to have the same attributes as the matrix.csr class and setAs was used to define how to coerce integers and vectors into this form:

Hi the list I am fighting with the twins setAs and setIs... Here are some questions and comments (comments to myself but that migth be wrong, it is why I am posting them) 1. Very surprising : using setIs define 'is', 'as<-' but not 'as' ??? 2. Using setAs define 'as', 'as<-' but not 'is'... What surprise me is that as<- can be define by

Dear colleagues, there is a behaviour with S4 (virtual) classes that I find very hard to understand: Depending on the position of setAs(), the tree of inheritance changes. This is my baseline example that defines the classes "grandma", "mother", "daughter" and a virtual class "mr_x". For a new instance if "daughter", "mr_x" is betweeen

Hi list, I've got a class B that contains a slot obj of class A. I'd like to be able to call all the methods of class A directly on objects of class B as if I had called the method on slot obj. This without overloading all methods of class A to work on class B. I don't define B as an extension of A, because I want class B to also work with objects of classes that inherit from

Hello R-User I have a table as tab-delimited textfile (291 rows, 83 columns). The first row are labels and the first line the variable names. I used the following code several times with different similar tables and it always worked. But now: setClass("of") setAs("character", "of", function(from) as.ordered(from)) Classe82<-cclasses <-

I ran into a problem recently trying to update a package which uses S4 methods using a recent beta of R. I think I can reproduce it with a simple example. I have package called `testpkg' in directory testpkg/. In the R/ subdirectory of testpkg/ I have a file called testpkg.R which contains the following two lines: setClass("testpkg", representation(pts = "list"))

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

Hi, The colClasses seem to be supressing 'NA' vlaues. How do I fix this? R script and first 5 lines of output is below. File "test2.dat" has blanks that are read as "NA" when I do not use 'colClasses', but as blanks when I use 'colClasses'. temp.df <- read.fwf("test2.dat", width=c(10,1,1,1,1,2,2,3,3,1),

Currently read.table is rather limited in its type conversion. The algorithm is 0) Read as character 1) Try to convert to numeric. If that works, quit 2) Convert to factor unless !as.is. I am thinking about adding more flexibility and more classes by the following two changes. A) Anticipating the arrival of classes for all R objects, add an argument say `colClasses' that allows the user to

Hi, Is there any official way to determine the colClasses of a data.frame? Why has POSIXct such a strange class structure? Why is colClasses "ordered" not allowed (and doesn't work)? Background ========== I am writing a chunked csv reader that provides the functionality of read.table for large files (in the next version of package ff). In chunked reading, one wants to learn the

Hi all. I'm reading in a flat, comma-delimited flat file using read.csv. It works marvelously for the most part. I am using the colClasses argument to, basically, create numeric, factor and character classes for the columns I'm reading in. However, a couple of the fields in the file are date fields. I'm fully aware that POSIXct can be used as a class, however the field must obey,

>>>>> Benjamin Tyner <btyner at gmail.com> >>>>> on Tue, 24 Oct 2017 07:21:33 -0400 writes: > Jeff, > Thank you for your reply. The intent was to construct a minimum > reproducible example. The same warning occurs when the 'file' argument > points to a file on disk with a million lines. But you are correct, my >

Hello; I am new user of R; so pardon me. I am reading a .txt file that has around 50+ numeric columns with '\t' as separator. I am using read.csv function along with colClasses but that fails to recognize double quoted numeric values. (My numeric values are something like "1,001.23"; "1,008,000.456".) Basically read.csv fails with - "scan() expected 'a

Hi I am trying to read a data frame from a text editor in to R. I want some of the columns to be read in as "character" not numeric. I figured that I can do that by using "colClasses" in "read.table" command. However, I couldn't find out how to use "colClasses". e.g. say I have 5 column in the data file. I want 1st and 3rd column to be read in as

Hi, I can't get the colClasses option to work in the readHTMLTable function of the XML package. Here's a code fragment: require("XML") doc <- "http://www.nber.org/cycles/cyclesmain.html" table <- getNodeSet(htmlParse(doc),"//table") [[2]] # The main table is the second one because it's embedded in the page table. xt

Hi, is there are reason for not supporting NULL or "NULL" values for argument colClasses in read.table(), much like you can use NULL values for argument 'what' in scan()? This would help quite a bit when reading large data files where only a few columns are of interest. I've modfied read.table() to so it calls scan(what=...) also with NULLs for the fields to be skipped.

I am using 'read.csv' in V2.0.1 to read in a CSV file with the colClasses option and am getting an error from 'scan' when it encounters a non-numeric value for a 'numeric' column, i.e. > ds <- read.csv(in_file, nrows=irow, row.names=NULL, colClasses=zclass, comment.char="") Error in scan(file = file, what = what, sep = sep, quote =

Jeff, Thank you for your reply. The intent was to construct a minimum reproducible example. The same warning occurs when the 'file' argument points to a file on disk with a million lines. But you are correct, my example was slightly malformed and in fact gives an error under R version 3.2.2. Please allow me to try again; in older versions of R, ?? > read.table(file =