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(I am reposting this question after a few months without a solution...) Hi all, I am trying to read a .txt file, with Hebrew column names, but without success. I uploaded an example file to: http://www.talgalili.com/files/aa.txt And tried the command: read.table("http://www.talgalili.com/files/aa.txt", header = T, sep = "\t") This returns me with: X.....ª X...ª......

Hi experts, 1. I am working with large datasets (80000 rows, 20 columns) with R 1.3.0 und linux; so i try to save memory and remove unused objects. But even if i remove all objects with rm() and force the garbage collector to work with gc(), the process monitor utiliity kpm does not show a change of a single byte in memory consumption. So what is wrong. 2. I order to scale a second dataset

Hello, I am trying to read in an Excel file that I saved as a .csv so I can analyze my assignment data! I am getting really frustrated because this is what I keep getting: Warning message: In read.table("CityData.CSV", sep = "/", header = T) : incomplete final line found by readTableHeader on 'CityData.CSV' I have open the file and make sure click return after

Hello! I am trying to import data to R. The programm always responds with: "incomplete final line found by readTableHeader on Data.doc" What does that mean, and what could I change? Thank you very much in advance. Regards Florian Stallforth

df <- data.frame(a = "a\"b") write.table(df, "test.csv", sep = ",", row = F) Is there any to load test.csv into R correctly? I've tried the following: > read.table("test.csv", sep = ",") [1] V1 <0 rows> (or 0-length row.names) Warning message: In read.table("test.csv", sep = ",") : incomplete final line

Hello, I have recently had issues with read.csv where i get the following warning, and this happens on both my OSX and Linux machines. Here is the warning and an example CSV file is attached: Warning message: In read.table(file = file, header = header, sep = sep, quote = quote, : incomplete final line found by readTableHeader on 'test.csv' http://

I'm using read.csv to read in a csv file containing '#' characters. For example, say I'm reading the following file (test.csv): var1,var2,var3 a,b,c d,e#,f g,h,i It outputs: > read.csv("Raw Data\\test.csv") var1 var2 var3 1 a b c 2 d e 3 g h i Warning message: incomplete final line found by readTableHeader on 'Raw Data\test.csv'

Dear all, I have a file with some sequence (seq.txt). I am writting following code and getting error! Can please help me? seqfile<-read.table(file="seq.txt") Warning message: In read.table(file = "seq.txt") : incomplete final line found by readTableHeader on 'seq.txt' Thanks in advance Albert -------------- next part -------------- NNNNNNNNNNATTAAAGGGC

Hello, I am trying to read in an Excel file that I saved as a .csv so I can analyze my dissertation data! I am getting really frustrated because this is what I keep getting: In read.table(file = file, header = header, sep = sep, quote = quote, : incomplete final line found by readTableHeader on 'month.csv' can anyone offer some help? Thanks a lot! catherine [[alternative HTML

Thank you Gabor Grothendieck for your answer !! i have charge the pachage but now i have this massage  read.table("c:/TOTAL.xls",h=T) [1] ÐÏ.à.. <0 rows> (or 0-length row.names) Warning messages: 1: In read.table("c:/TOTAL.xls", h = T) :   incomplete final line found by readTableHeader on 'c:/TOTAL.xls' 2: In if (!header) rlabp <- FALSE :   the condition has

Dear R-users, I have 1 remark and 1 question on the inclusion of interactions in the gam function from the gam package. I need to fit quantitative predictors in interactions with factors. You can see an example of what I need in fig 9.13 p265 from Hastie and Tibshirani book (1990). It's clearly stated that in ?gam "Interactions with nonparametric smooth terms are not fully

Hello R-helpers, I have 10 dataframes (named data1, data2, ... data10) and I would like to add 5 new columns to each dataframe using the following code: data1$LogDepth<-log10(data1[,2]/data1[,4]) data1$LogArea<-log10(data1[,3]/data1[,5]) data1$p<-2*data1[,6]/data1[,7] data1$Exp<-data1[,2]^(2/data1[,8]) data1$s<-data1[,3]/data1[,9] ...but I would prefer not to repeat this chunk of

hello folks, Im trying to clean out a large file with data i dont need. The column im manipulating in the file is called "legal_status" There are three kinds of rows i want to remove. Those that have "Private", "Private (Op", or "Unknown" in the legal_status column. I wrote this code but i get errors and it says im missing a TRUE/ False thingy...im

hello! je veux importer un fichier de donnees excel que j'ai au prealable converti en fichier txt avec separateurs tab, fichier de la forme entree simple (suite de colonnes contenant des variables). Voila ma ligne de commande : > poussins <- read.table("poussins.txt", header=T, sep="\t") et sa reponse Erreur dans scan(file = file, what = what, sep = sep, quote =

I am trying to run my first app on the Solaris server, in a production environment. I get a network unreachable. Why? Does it belongs to database.yml config? Processing CategoriesController#index (for 10.3.70.129 at 2010-01-05 14:00:47) [GET] Errno::ENETUNREACH (Network is unreachable - connect(2)): /usr/ruby-enterprise/lib/ruby/1.8/net/http.rb:560:in `initialize''

Hi This question is far less simple than the title suggests, please read carefully, thanks. I have 2 sets of data, both read into R >data1<-read.table ("1.txt", header=T, sep="\t") >data2<-read.table ("2.txt", header=T, sep="\t") >data1 Taxon stage1 stage2 stage3 stage4 T1 0 0 1 1 T2 0

Hi, I apologize if this has previously been posted. I've just subscribed to the R-help digest. I'm writing a plotting function that uses layout() to plot several different plots on the same device. This function uses plot(), image(), and a custom function that uses text(). Each cell of the layout needs different par() parameters, so what I'd like to do is pass them as lists:

Hi there, data1<-matrix(data=c(1,1.2,1.3,"3/23/2004",1,1.5,2.3,"3/22/2004",2,0.2,3.3,"4/23/2004",3,1.5,1.3,"5/22/2004"),nrow=4,ncol=4,byrow=TRUE) data1<-data.frame(data1) names(data1)<-c("areaid","x","y","date") data1 areaid x y date 1 1 1.2 1.3 3/23/2004 2 1 1.5 2.3 3/22/2004 3 2

I am trying to find methods for testing and visualizing calibration to Cox models with time-depended coefficients. I have read this nice article <http://journals.sagepub.com/doi/10.1177/0962280213497434>. In this paper, we can fit three models: fit0 <- coxph(Surv(futime, status) ~ x1 + x2 + x3, data = data0) p <- log(predict(fit0, newdata = data1, type = "expected")) lp