similar to: reading partial data set

Hi, Let?s consider aux1. I wanted to order its data considering its first column as the index > aux1[1:4,] V1 V2 V3 V4 V5 V6 1 0.08506724 150 1956 15.08 233.82 463.295 14 2 0.76205323 203 1922 15.35 218.74 463.295 14 3 0.86274890 195 1835 12.54 203.39 463.295 14 4 0.37940715 152 1567 24.73 190.85 463.295 14 > aux2 <-- aux1[order(aux1[1:4,1]) , ] > aux2

Hello all, I want to read a table from a given web page. If I do something like > str="http://www...." # this is the web address > aux1 <- url(str,open="rt")# open connection > aux2 <- readLines(aux1) # read web page aux2 contains the html file. I want to extract the table from the html file. Is there a function html2R, the opposite of R2html?

Hello. I have n files in a directory: file1, ..., filen. I read them with the following commands: list=scan(file="list",what=list(nom="")) # in the file list, I have all the filenames. n=length(list[[1]]) for (i in 1:n){ aux <- paste("p",i,sep="") assign(aux, as.matrix(read.table(list[[1]][i]))) } R creates the matrices p1,p2,...,pn. I want

Buenas, Tengo un monton de variables que quiero meter en un data.frame. Las variables las he ido extrayendo de la siguiente manera for(i in 1:240) { #saco el inicio de cada refrigeracion aux1 <- paste("inicio.refri", i, sep = ".") assign(aux1,datos[which.max(datos[,109+i]),"LogDateTime"]) } Y quiero buscar una funcion que me permita meter esas 240

I'm having an interesting/odd problem with nfs (I think). We recently (Monday/Tuesday) upgraded our file server from an ancient redhat 7.3 system to a shiny new centos 6.4 system. We don't see any issues between the other centos boxes, but things get a bit weird when we start mounting on the old solaris clients. The initial symptom was that the 'tab complete' wasn't

>>>>> 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 >

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

Consider this: $ cat test.dat 1 a 2 b Now, we want to read the 2nd column as a factor and ignore the first (since it's just a sequential ID). We can't just put "factor" among the colClasses (would have been nice), so let's try this instead > setAs("character","factor",as.factor) Arguments in definition changed from (x) to (from) >

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),

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

R-helpers I have 120 small Excel sheets to read and I am using library(xlsReadWrite): one example below. I had hoped to read sheets by looping over a list of numbers in their name (eg Book1.xls, Book2.xls, etc). I thought I had seen examples which used eval-parse-paste in this way. However, I have not been able to get it to work.. 1. is this a feasible approach? 2. if not

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

Sirs; I have read your web site page current issues and debugging and I am interested in how to debug a rsync issue which ends with the following message: io timeout after 60 seconds -- exiting rsync error: timeout in data send/receive (code 30) at io.c(181) I have compiled rsync on a hpux 11.11 server and I am using rsync-2.6.4. The remote machine is running rsync as a deamon in inetd.

Hi all, First off, it is surprising that there are no examples of how to use read.table() under ?read.table ! I am trying to read in a flat file of type 'raw'. It has 1000 rows and 600K columns. I have the RAM to accomplish this, but can't get the data into R using read.table: x <- read.table("data",header=TRUE,colClasses=rep(,600000)) #returns error: no method or

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 =

If read.csv's colClasses= argument is NOT used then read.csv accepts double quoted numerics: 1: > read.csv(stdin()) 0: A,B 1: "1",1 2: "2",2 3: A B 1 1 1 2 2 2 However, if colClasses is used then it seems that it does not: > read.csv(stdin(), colClasses = "numeric") 0: A,B 1: "1",1 2: "2",2 3: Error in scan(file, what, nmax, sep,

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"

Hi! It seems that read.table() in R 3.0.1 (Linux 64-bit) does not consider quoted integers as an acceptable value for columns for which colClasses="integer". But when colClasses is omitted, these columns are read as integer anyway. For example, let's consider a file named file.dat, containing: "1" "2" > read.table("file.dat",

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.

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.