similar to: Variable as a filename

Hi R community, First of all, I want to thank everybody to share their time solving R questions, You are great. Ok, for my questions, I've been looking for a solutions by myself, in forums but I'm just a little bit desesperate so I hope somebody can help me. I have built a code to read files from a directory. These files are named by a year (2004.csv, 2005.csv,...). When the code reads

I have a domain with multiple Samba DC, and one MS Server 2008 R2 DC. The Samba servers came first and then I added the MS DC. I am having problems replicating, it gives me a schema mismatch error. If I run ldapcmp ./samba-tool ldapcmp ldap://DC1 ldap://DC2 -Uadministrator schema --filter=whenChanged Password for [MYDOMAIN\administrator]: * Comparing [SCHEMA] context... * Objects to be

Hi R community I have a question. I'll explain my situation. I have to build a climate model to obtain monthly and annual temperature from 2004 to 2008 from a specif area in Almeria (Spain). To build this climate model, I will use Multiple regression. My dependant variable will be monthly and annual temperature and independant variables will be Latitute, Longitude and Altitude and I will work

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

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,

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.

Dear R developers, It would be great if you could implement the two minor code changes suggested below, which would help processing large objects in R. Jens Oehlschl?gel # Wish no. 1: let [.AsIs return the class AFTER subsetting, not the class of the original object # Wish no. 2: adjust write.csv and write.csv2 for multiple calls in chunked writing # Rationale no. 1: a couple of packages

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) >

Eric's approach seems reasonable to me, and I agree that it's probably not the use of a "for" loop that makes the original version slow. As Eric mentioned, there are lots of unnecessary things happening in the loop. For example, list.files() was called twice inside the loop, which is unnecessary, and will definitely slow the loop down (though probably not by much). Call it

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

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 list Sorry if this topic already was discuss in this list. I have glusterfs server and samba/samba-vfs-modules install from apt debian official repo. When I try to access glusterfs volume over samba, I get the error message that told me glusterfs.so does not exist, something like that: vfs_glusterfs no such file or directory Is there somethin I can do to solve this issue?? Thanks ---

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

obviously I didn't understand somethin : By requesting an m3u file, icecast server create an handler for the stream that contained the url:port information, am I correct ? <p><p><p>> > You have the hostname and port of the server misconfigured in your icecast > config file. icecast2 obviously needs those to be correct so that it can > generate a URL to send to

Hi, I need to save output of summary() procedure to a csv file. It's all OK when it's applied to a 'factor' class variable, but when I try to save a 'integer' class summary to csv it gives me : > summary(rnorm(100, 10)) -> object > write.csv2(object, file='name.csv') Error in do.call("expand.grid", c(dimnames(x), stringsAsFactors =

HI I want to do a table with R (in the console) GWP_Max NumberOfPolicies No_GWPMax 8 [0-1000] 4 [1000-3000] 3 [> 3000] 5 i begin by calculate the number of policies in each class :  Data1 <- read.csv2("c:/Total1.csv", sep=",") > Data2 <- read.csv2("c:/GWPMax1.csv",sep=",")[1:20,1:2] > M <- merge(Data1,Data2, by.x =

----- Message transféré ---- De : Inchallah Yarab <inchallahyarab@yahoo.fr> À : r-help@r-project.org Envoyé le : Mardi, 18 Août 2009, 16h26mn 20s Objet : create a table in the console!! HI I want to do a table with R (in the console) GWP_Max NumberOfPolicies No_GWPMax 8 [0-1000] 4 [1000-3000] 3 [> 3000] 5 i begin by calculate the number of policies in each class :  Data1 <-

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

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

Dear Germano, Thank you for your fast reply, In the above code, *MYData *is the actual data set. Do not we need to convert *MYData to *the dissimilarity matrix using *pam(as.dist(**MYData**), k = 10, diss = TRUE*)* code line?* *Regards.* On Thu, Aug 17, 2017 at 2:58 PM, Germano Rossi <germano.rossi at gmail.com> wrote: > try this > > MYdata <-