search for: delim2

Hello R experts: When I tried to read my data into R, it does not take # sign A subset of Exp.txt is: Experiment name assay id Varname (A1)DBA TPA 6h/DBA Acetone rep1(A1) #3 4090 A90C1 (A2)DBA TPA 6h/DBA Acetone rep2(A2) #3 4091 A91C1 The command is: Exp <- read.delim2("Exp.txt",check.names=F,as.is=T) It is excuted but gave me all the NAs. Can you all drop me a hint? Thanks in advance. Kevin

...======================== (diff'ed to R-1.7.0 patched (2003-05-25)) > diff -u ./plotmath.old ./r-patched/src/main/plotmath.c --- ./plotmath.old 2003-05-25 17:47:23.000000000 +0200 +++ ./r-patched/src/main/plotmath.c 2003-05-25 17:49:38.000000000 +0200 @@ -2075,10 +2075,12 @@ delim2 = DelimCode(expr, CADDDR(expr)); bbox = RenderElement(CADDR(expr), 0); dist = max(bboxHeight(bbox) - axisHeight, bboxDepth(bbox) + axisHeight); - bbox = RenderDelim(delim1, dist + extra, draw); + if (delim1 != '.') + bbox = RenderDelim(delim1, dist + extra, draw);...

Siguiendo la sugerencia de Velez Jorge use read.delim2, lee y crea el objeto pero al intentar visualizarlo me da el error: > form<-read.delim2("ASSEUsr1.csv", header=T, sep=";") > form Error: C stack usage is too close to the limit Olvideo decir que corro R con Rstudio en Ubuntu 13.04 Gracias El 19 de julio de 2013 15:...

...he environment, I can produce a plot but don't understand how to interpret it and I get an error message. Then I want to make a PerMANOVA analysis comparing the different treatments with each other. I tried to look at similar problems but I get error messages. Any ideas? #NMDS step1<-read.delim2("day20.txt", row.names=1) library(clusterSim) step2<-data.Normalization(step1,type="n10") step3<-asin(sqrt(step2))*57.3 step4<-t(step3) library(vegan) step5<-data.matrix(vegdist(step4,method="bray")) step6<-metaMDS(step5, autotransform=FALSE) plot(step5)...

Dear R-users, I've built these functions usefell for me to import/export data from/to Excel: importa.da.excel<-function(){read.delim2("clipboard", dec=",") ## questa funzione consente di importare dati da Excel in R ## selezionare in Excel le celle che contengono i dati, ## compresi in nomi delle colonne ## Autore: Vito Ricci email:vito_ricci at yahoo.com ## Data di creazione: 09/11/04 } esporta.in.excel<...

...le eurusd2.csv): "Date (GMT)" "Open" "High" "Low" "Last" 17-03-2008 00:00:00 1,5764 1,5766 1,5747 1,5750 17-03-2008 00:05:00 1,5749 1,5750 1,5741 1,5744 17-03-2008 00:10:00 1,5745 1,5762 1,5741 1,5749 > library("tseries") > raw=read.delim2("eurusd2.csv") > date.d=strptime(raw$Date..GMT,"%d-%m-%Y %H:%M:%S") > x=ts(data=c(raw$Open,raw$High,raw$Low,raw$Last),c="mts") > plotOHLC(x) Fehler in if ((!is.mts(x)) || (colnames(x)[1] != "Open") || (colnames(x)[2] != : Fehlender Wert, wo...

...ames(gomat)[1] [1] "GO:0000002" Which means that ":" is transformed into a "." !! This seems like Excel when it is trying to guess what I am really ment (and turning 1/1/1 into 1-1-2001). Furthermore, I found the following quite strange as well: > gomat2<-read.delim2("test.txt",header=FALSE) > gomat2[1,1:2] V1 V2 1 GO:0000051 GO:0000280 > as.character(gomat2[1,1:2]) [1] "8" "2" > as.character(gomat2[1,1]) [1] "GO:0000051" I have found a way to work around it, but I am wandering what's happ...

Dear all, I am new R user and I am sure that this question has been asked quite often and I have also googled it and read about it! I understood that in order to read excel sheet into R you need to open it and saved it as csv or text, is this true? or you can use read.delim2 and read.csv2 to do this without the following error > dat <- read.csv2(file="C:\\Dokumente und Einstellungen\\Cheba\\Desktop\\Rtemp\\ Results2010.xls",header = TRUE) Warnmeldung: In read.table(file = file, header = header, sep = sep, quote = quote, : unvollständige letzte Zeile...

Hi, I have a dataframe that I imported from a .txt file by: skogTemp <- read.delim2("Skogaryd_shoot_data.txt", header=TRUE, fill=TRUE) and the data are factors, how can avoid factors from the beginning? Although the file contains both characters and numbers. I tried to convert some of the columns from factor to numeric and as I understood it you can not use only as.num...

Dear R-Users, I noticed that *read* is not a generic function. Although it could benefit from the functionality available for generic functions: read = function(file, ...) UseMethod("read") methods(read) ?# [1] read.csv???? read.csv2??? read.dcf???? read.delim read.delim2? read.DIF???? read.fortran ?# [8] read.ftable? read.fwf???? read.socket? read.table The users would still need to call the full function name. But it seems useful to be able to find rapidly what formats can be read; including with other packages (e.g. for Excel, SAS, ... - although most packag...

Estimados Tengo un archivo CSV con 1.200.000 registros separados por ";" y cuando quiero abrirlo me da el siguiente error: form<-read.csv("Usr1.csv" , sep=';' , na.strings = "NA", header=T) Mensajes de aviso perdidos In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : entrada inválida encontrada en la conexión de entrada

Hello Everyone! According to voip-info.org the correcy syntax for the realtime function is: REALTIME(family|fieldmatch[|value[|delim1[|delim2]]]) on read REALTIME(family|fieldmatch|value|field) on write It seems from the syntax that it is only possible to retrieve a full row according to the value of only of column. This translates in SQL language as Select * from family where fieldmath = value. Is there any way to have more control o...

Hi, I have a data file with hundreds of rows, with every first, second, third, and fourth line representing a set of numbers for row names x, y, fit, and residuals, respectively. However, any given group of these lines might be from 10 to 20000 values long. When I try fits=read.delim2("test") Error in read.table(file = file, header = header, sep = sep, quote = quote, : more columns than column names When I try fits=readLines("test") it reads the data, but doesn't separate it into values: > head(fits) [1] "1\t30049\t30204\tsegment_4\t35\t.&quo...

I'm importing a lot of text tables of data (from Latent Gold) that includes hashes in some of the column names ("Cluster#1", "Cluster#2", etc.). Is there an easy way to strip the offending hashes out before pushing the text into a table or data frame? I thought I'd use gsub, e.g., but can't figure out how to read in a text file without reading it into a table or

Hi colleages! I want to import data from ms-excel and other spreadsheet formats (lotus, etc). Does exist any way to do it within R? The main problem is that many spreadsheet data use comma as decimal separator and not the point as needed in R (and many software for Linux), so importing data first as a tab separated values does not solve this problem. Thanks, Tom?s Revilla

Hi, I understand this should be an easy task but I am still struggling a bit to read a .txt file with a date vector. My code is as below: data<-read.table(file.choose(),header=TRUE,sep="\t",dec=",",colClasses=c("Date","numeric","numeric","numeric")) But I am getting an error: Error in charToDate(x) : character string is not in a

...ast managed to read in multiple files: filenames <- list.files(path=getwd()) numfiles <- length(filenames) for (all_temp in c(1:numfiles)) { filenames[all_temp] <- paste(filenames[all_temp],sep="") assign(gsub("[.]ASC$","temp",filenames[all_temp]),read.delim2(filenames[all_temp], fileEncoding="ISO-8859-15", skip = 4)) } Now I want to change the column names on the fly within the above loop. How? I only found out for one file: colnames(w01_10temp) <- c("date", "time", "temp", "na") I want then t...

Hello to everyone, I have gotten my file to print to screen but when I use read.table I am getting an error message that says there are" more columns than column names."This is a file that was not created by me so I am not sure how to investigate and solve this problem.I looked in the help file and it suggested an auxilliary function called count.fieldsThe code that was used was:

...es. I've read from a csv file, the following way: csv-file like: Date,Open,High,Low,Close,Volume 2011-08-11 03:00:00,1.41758,1.42205,1.41625,1.42174,8974 ... 2011-08-12 04:00:00,1.42175,1.42413,1.42067,1.42172,7229 ... 2011-12-30 05:00:00,1.42173,1.42341,1.42062,1.42171,6703 ... raw<- read.delim2("~/R/Data/EURUSD60.csv",header=TRUE,sep=",") stripday<-strptime(raw$DATE,format="%Y%m%d") fxdata<-data.frame(stripday,raw) write.table(fxdata,"~/R/Data/EURUSD60.csv",quote=FALSE,sep=",",row.names=FALSE) EURUSD<-as.xts(read.zoo("~/R...

Hello all and thanks in advance for any help or direction. I have co-authorship data that looks like: Paper Author Year 1 SmithKK JonesSD 2008 2 WallaceAR DarwinCA 1999 3 HawkingS 2003 I would like: Paper Author Year 1 SmithKK 2008 1 JonesSD 2008 2