similar to: Strange characters that block import

Hi all, I am quite new in the world of parallelization and I wonder if there is a way to increase the speed of creation of a parallel socket cluster. The time spend to include threads increase exponentially with the number of thread considered and I use of computer with two 8 cores CPU and thus showing a total of 32 threads in windows 7. Currently, I use the default parameters (type =

Dear R users, Since a long time now, I have the following error when I want to load the tcltk library in R 64 bit. Loading Tcl/Tk interface ...Error : .onLoad failed in loadNamespace() for 'tcltk', details: call: inDL(x, as.logical(local), as.logical(now), ...) error: unable to load shared object 'C:/Program Files/R/R-2.13.0/library/tcltk/libs/x64/tcltk.dll': LoadLibrary

Dear UseRs, Is there a way to define the lower-upper bounds for parameters fitted by optim using the Nelder-Mead method ? Thanks, Arnaud [[alternative HTML version deleted]]

Good moorning, yesterday, i asked for how we can import data into R i found that it is necessary to make the file in csv format then use L<- read.csv2("path of file") now i see that the dimension of my table importing into R is 1 colonne (i have realy 20) and (655555) the number of all my lines in the excel file (i want to have only the 2600 lines in my table) Also, when i say to do

Thanks to all who have responded. My concern was to be able to write a csv file that can have line feeds in string columns chr(10). Why? Excel allows line feeds chr(10) within cells and line breaks chr(13)+chr(10) at line ending, but the windows version of R automatically replaces \n by \r\n in writing and \r\n by \n in reading (text mode). The clues for a solution came from Brian Ripley and

Dear all, I have some csv-files (originating from Excel-files) containing empty cells. In my example file I have four variables of different classes, each with some empty cells in the original csv-file: > test <- read.csv2("test.csv", dec=".") > test id id2 x y 1 a 1 NA 2 b e NA 2.2 3 f 3 3.3 4 c g 4 4.4 > class(test$id) [1]

Dear all, Since I installed the x64 version of R (v2.12.1), I got a problem with tcltk that I did not achieve to resolve. When loading the library, it gives me the following error message: Loading Tcl/Tk interface ...Error : .onLoad failed in loadNamespace() for 'tcltk', details: call: inDL(x, as.logical(local), as.logical(now), ...) error: unable to load shared object

Hi, In order to find the best models I use AIC, more specifically I calculate Akaike weights then Evidence Ratio (ER) and consider that models with a ER < 2 are equally likely. But the same problem remain each time I do that. I selected the best models from a set of them, but I don't know if those models are efficient to predict (or at least represent) my data. I can have selected the best

Dear r-helpers, I read a .csv file into R with the following command: A<-read.csv2(file="Mappe3.csv") It worked fine, except that I would like to get rid of the points between the words and get spaces instead like I have got in the .csv file. At the moment it looks like the following: habe.mich.gut.mit.KlassenkollegInnen.verstanden hatte.gutes.Verhältnis.zu.Eltern

Hi all, I use "write.csv" and "write.table" to write a data frame in a file like following: write.csv2(allRandomTestCase_XDroped, "allRandomTestCase.csv") But in the created file "allRandomTestCase.csv" an additional column with consecutive numbers is automatically added to the column of the data frame "allRandomTestCase_XDroped". That is why my

R version 1.8.1, OS Windows 98 Dear colleagues, if I import vegetation data (first row with column labels and first column with row labels) like 7MYRGERM;7AGRGIGA;7DRYOCTO;5MYRGERM;7SALELEA;7CHOCHON;7SALNIG?;....... t401;5;2;2;3;4;2;2;2;1;2;1;2;2;1;2;2;2;1;2;1;0;0;...... t403;3;0;0;6;4;0;3;0;0;3;0;0;0;0;3;0;0;0;2;0;2;0;..... with read.table("data.file", header=TRUE,

Hi, I have a data file with columns separated by ";" I read this file without any problem using read.csv2( ) but I had problems trying to read it with read.table( ... sep=";"). So it is not a problem for me, but I wonder if there is a bug here. drt <- read.csv2("t.txt", header=TRUE) # ok dcs <- read.table("t.txt", header=TRUE,

On Fri, Sep 13, 2019 at 11:53 AM Tomas Kalibera <tomas.kalibera at gmail.com> wrote: > On 9/13/19 11:37 AM, IAGO GIN? V?ZQUEZ wrote: > > But if I type > > >"?" > > the output is > > [1] "?" > > so seemingly it can be represented. Or, am I wrong? > > In RGui you can print the string, because RGui is a Windows Unicode >

I'm use RPostgreSQL to access data on a Postgres server. I would like to keep my SQL statements in external files, as they're easier to write and debug in pgAdmin, then I use readLines to bring them into R and feed to dbGetQuery. Here's the problem. When I create a SQL script with pgAdmin, then load it in R, the ensuing script fails when I feed it to dbGetQuery. When I inspect the

Hello, I've imported a csv, semi-colon spearated file with read.csv2, containing one column of rownames and one column of floating point numbers. When I look at the column of data with framename$columnname, I get the values of the column plus level values. Are these level values created automatically ? The problem is when I try to calcluate the correlation coefficient between this set of data

Hello, I am importing the following file ;aa;bb;cc 1988;12;12;12 1989;78;78;12 1990;78;78;12 1991;78;78;12 1992;78;78;12 1993;78;78;12 1994;78;78;12 ------------------------------------------------ data<-read.csv2("test.csv",header=T) ------------------------------------------ it gives X aa bb cc 1 1988 12 12 12 2 1989 78 78 12 3 1990 78 78 12 4 1991 78 78 12 5 1992 78 78 12 6

i  want to print in the console and to have an excel file like this no_GWP                NbOfPolicyClass1[0-1000]     NbOfPolicyClass2[1000-3000]        NbOfPolicyClass3[> 3000] No_GWPMax=8    NbpolicyClass1=5                   NbpolicyClass2=4                            NbpolicyClass3 =3              i have do it like this:!!! data1 <-

Hi all, I have a problem to read csv file with comma as decimal. The numbers were readed as strings. I used the following string in R, but I do not understand why it does not work. tab <- read.csv2("Specimen_RawData_1.csv", header = TRUE, sep = ";", dec = ",", nrows = -1) In addition, I copy/past into the post the link to the csv file generated by my instrument.

R2.13.2, W7x64 Dear list, Excuse my ignorance, but I have gone through the R help (?parse, ?eval, etc.) and still really don't know how to do the following. I have the general following structure that I would like to automate [edited to make it shorter]: >>> city1997 <- dataCleaning(read.csv2("C:\\city\\year1997.txt")) city1997 <- wasteCalculations(city1997, year

i have written this in R, > data1 <- read.csv2("c:/Total1.csv",sep=",") > data2 <- read.csv2("c:/GWPMax1.csv",sep=",") > M <- merge(data1, data2, by.x = "Policy.Number", by.y = "Policy.Number") > nrow(data1) [1] 20 > nrow(M) [1] 12 > NbOfPolicyWithoutGWPMax <- nrow(data1)-nrow(M) >