similar to: error reading data help please

Dear I have been trying to a program which requires "nprmpi". However, I have tried to install the downloaded zip file but get the error: "cannot open compressed file ''npRmpi_0.40-7.tar.gz/DESCRIPTION''" I tried the command: install.packages("nprmpi") but get the message "package ''nprmpi'' is not available" I then

Hi, I am looking for an efficient way of skipping big chunks of lines on a connection (not necessarily at the beginning of the file). One way is to use read lines, e.g. readLines(1e6), but a) this incurs the overhead of construction of the return char vector and b) has a (fairly remote) potential to blow up the memory. Another way would be to use scan(), e.g. scan(con, skip=1e6, nmax=0)

I am seeing extremely slow performance with glusterfs. OS: CentOS 5 glusterfs version: glusterfs-1.3.9-1 Server configuration: ############################################## ### GlusterFS Server Volume Specification ## ############################################## #### CONFIG FILE RULES: ### "#" is comment character. ### - Config file is case sensitive ### - Options within a

I'm trying to import a table into R the file is about 700MB. Here's my first try: > DD<-read.table("01uklicsam-20070301.dat",header=TRUE) Error: cannot allocate vector of size 15.6 Mb In addition: Warning messages: 1: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : Reached total allocation of 1535Mb: see help(memory.size) 2: In scan(file, what,

Hello, I have a seemingly simple problem that a tab-delimited file can't be read in. > annoTranscripts <- read.table("matched.txt", sep = '\t', stringsAsFactors = FALSE) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 5933 did not have 12 elements However, all lines do have 12 columns. > lines <-

Dear R users I am runing into a problem in reading data in R This is the error information a<-read.table("tt_mb_200409.txt",as.is=T) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1653997 did not have 5 elements It seams that some lines don't have equal variables. I want to try >

I found it easy to use R when typing data manually into it. Now I need to read data from a file, and I get the following errors: > refdata = > read.table("K:\\MerchantData\\RiskModel\\refund_distribution.csv", header > = TRUE) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 42 elements > refdata = >

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'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.

Dear R-users, When i try - Data1<-read.table("/Users/kama/Analysis/GDP10.csv",header=TRUE,sep=";") i am getting this error: Warning message: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : number of items read is not a multiple of the number of columns I wonder what Iam doing wrong. i guess it is something simple, however, i do not understand

Hi R-experts I have many text files to read and combined them into one into R that are output from other programs. My textfile have unbalanced number of rows for example: ;this is example ; r help Var1 Var2 Var3 Var4 Var5 0 0.05 0.01 12 1 0.04 0.06 18 A 2 0.05 0.08 14 3 0.01 0.06

Dear all, I have a tab-delimited text (.txt) file which I'm trying to read into R. This file is of column format - there are in fact 3 columns and 259201 rows (including the column headers). I've been using the following commands, but receive an error each time which prevents the data from being read in: > Jan <- read.table("JanuaryAvBurntArea.txt", header=TRUE) Error in

Hola a todos, Me gustaria leer el texto que se encuentra en http://dl.dropboxusercontent.com/u/9601860/txt.txt He intentado txt <- 'http://dl.dropboxusercontent.com/u/9601860/txt.txt' r <- scan(txt) #Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : # invalid multibyte string at '<ff><fe>M' r <- read.table(txt, header = FALSE)

Dear R-users, I have encountered the following problem every now and then. But I was dealing with a very small dataset before, so it wasn't a problem (I just edited the dataset in Openoffice speadsheet). This time I have to deal with many large datasets containing commuting flow data. I appreciate if anyone could give me a hint or clue to get out of this problem. I have a .dat file

It seems to me the following should work (in fact, it comes from someone's SPlus file). Instead, it reads the first 8 lines and then spits out syntax errors. Using nlines=36 works. Using nmax does not. Intel RH5.2 with R90.0. Debugging shows it must be internal. Jim junk <- scan(file="",list(i=0,r1=0,r2=0,lull="",day=""),n=5*36) 1 3 5 no 1 2 1

Hola Jorge, Algo pasa con el fichero... He abierto el link de Dropbox, y he salvado el texto como "txt.txt" en local. Pruebo a abrirlo en R y...: > scan(file="txt.txt")Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : scan() expected 'a real', got 'ÿþM'> getwd()[1] "C:/Users/xIs12136/Downloads" Pruebo a abrirlo

Hola. Con r <- scan(txt, character(0)) creo que debiera montarse el texto carácter a carácter. He comprobado que funciona pero no he validado la importación del texto. Igual es un camino que lleva a alguna parte.... Un Saludo, Miguel. -----Mensaje original----- De: r-help-es-bounces en r-project.org [mailto:r-help-es-bounces en r-project.org] En nombre de Carlos Ortega Enviado el:

Dataframe1 contains a list of specific dates. Dataframe2 contains a large dataset, one element of which is Date. How do I create a subset of Dataframe2 that excludes the dates from Dataframe1? I know how to do it with a left outer join vs null in SQL, but I can't figure out how to do it more directly via the subcripts that already exist? Dateframe1 Date 1/1/2010 1/18/2010 Dataframe2 Date

No matter how I´ve tried o find a solution for this simple question, I can´t. Sorry for bothering with such a matter. I have an excel-files with some empty cells=missing values. How do I tell R that these should be NA´s? > TRFLP1 <-(read.table(file="S://SEDIM//Kokeilu//TRFLP1.txt",col.names= c("Dye_Sample Peak", "Sample_File_Name", "Size",

hello R users, I didn't find a solution for a special problem. I have two dataframes. dataframe1: X value row col ID 1 8.973498062 5512625 3460000 1 2 11.656658570 5501625 3464000 2 3 11.121777570 5495625 3473000 3 4 9.310465964 5508625 3477000 4 5 8.883483845 5515625 3496000 5 dataframe2: X value