similar to: Append to a csv file

Hi All, I always have a problem with write.csv when I want the column names to be ignored, when I specify col.names=F, I get a header of V1 V2 V3 V4 etc. for example I tried write.csv(mydata, file="data.csv", quote=FALSE, row.names=F, col.names=F) Warning message: In write.csv(mydata, file = "data.csv", quote = FALSE, : attempt to set 'col.names' ignored >

Dear all, I am new to R. I am using the impute package with data contained in csv file. I have followed the example in the impute package as follows: > mydata = read.csv("sample_impute.csv", header = TRUE) > mydata.expr <- mydata[-1,-(1:2)] > mydata.imputed <- impute.knn(as.matrix(mydata.expr)) The impute is succesful. Then I try to write the imputation results

Hi All, I was wondering if there is anything that breaks a loop in R. For example, For (k in 1:100) For ( i in 1:10){ If ( condition ){ Break the inner loop } } } In the above case, if the program runs the if statement, then I want the inner loop for (i in 1:10) to stop looping and skip the rest of the program. Thanks for your help -- View this message in context:

Hi , Does any one know how to split a character vector , I have a vector X that looks like this and each row has 3 characters X ASK DGH ASG AUJ FRT I would like to split the vector into 3 vectors that look like this X1 X2 X3 A S K D G H A S G A U J U R T thanks -- View this message in context: http://www.nabble.com/How-to-split-a-character-vector-into-3-vectors-tp21939492p21939492.html

I would like to merge ?data1 ?that contains 100 unique ID?s with another data set ?data 2? with 150 ID?s and the age of those individuals ( the ID in data1 is a subset of the ID in data 2) I would like to merge these data1 with data2 and have the result of the merge to have the ID ordered as in data1. Can this be done in R? -- View this message in context:

Dear R users, I have to import some csv files in which column headers contain the character "~". Following the following import call, the character seems to be replaced by dots in the column names of my data frame. Plus, I cannot query names(mydata) to find the column index which header should contain "~" or "." > mydata <-

I have a problem with ifelse(), I do not understand how it works. > X<-c(2,2,1,1,0,0) > str(X) num [1:6] 2 2 1 1 0 0 > Y<-ifelse(X>0,1,0) > Y [1] 1 1 1 1 0 0 > Can some one explain what is going on, I do not understand what ifelse is doing in this case. Can someone explain the output Y. Thanks -- View this message in context:

I try to load a file myData <- read.csv(file="C:\\myfolder\\mysubfolder\\mydata.csv", head=TRUE, sep=";") and get this error: Error in file(file, "rt") : cannot open the connection In addition: Warning message: In file(file, "rt") : cannot open file 'C:\myfolder\mysubfolder\mydata.csv: No such file or directory am I overlooking something? I am

I'm running R 2.11.0 on a 32-bit Windows XP machine. Whenever I try to write a csv file with 'append' set to TRUE, I get this message: attempt to set 'append' ignored. Obviously, this is no good, since R is deleting my previously saved data files, rather than appending to them. What can I do to fix this? -- View this message in context:

Dear R helpers, Following is my R code where I am trying to calculate returns and then trying to create a data.frame. Since, I am not aware how many instruments I will be dealing so I have constructed a function. My R code is as follows - library(plyr) mydata <- data.frame(instru_name =

Dear R users, I have recently begun to reuse some functions I made several months ago. The scripts write to a .csv file using the 'write.csv' function with the append option set to TRUE. This used to work fine, albeit with the warning "appending column names to file". I upgraded to R version 2.11.0 on OSX 10.5.8 and 'write.csv' will no longer append any files - I get the

Dear Help-Rs,   I've been dealing with this problem for some time, using a work-around to deal with it. It's time for me to come clean with my ineptitude and seek a what has got to be a more streamlined solution from the Help-Rverse.   I regularly import delimited text data that contains numerics enclosed in quotes (e.g., "00765288071").  Thing is, for some of these data, I need

Hi, I am writing a function that writes to a csv file for every call. However, for the subsequent calls, I want to append the data to the existing csv file without appending the column names again. I tried searching in the previous posts, but I am stuck with different errors. Here is what I am doing (dataF is a data-frame):- outputFilePath <- paste(getwd(), "/",

Hi All, I have a character vector with naems of cities in the us. I need to extract the number that appear after the word "New York", for example, x<-c("P Los Angeles44AZ", "P New York722AZ", "K New York20") I want the results to be 722, 20 cab I use the grep function, if so how? I appreciate your help, thanks, -- View this message in context:

Is there a way to make any of the write functions (.table or .csv) append to the same file? I get this warning message and do not know how to enable the appending. Warning messages: 1: In write.csv(names(Lbys)[c], fo, append = TRUE) : attempt to set 'append' ignored 2: In write.csv(Lbys[[c]], fo, append = TRUE) : attempt to set 'append' ignored Regards, Alex van der Spek

Hi all, I am trying to download, decompress and read a csv file. My code: myurl <- "ftp://ftp.ncbi.nih.gov/pub/geo/DATA/supplementary/series/GSE24729/GSE24729_MitoNuclear_suppl_male_stats.csv.gz" # myfile <- "GSE24729_MitoNuclear_suppl_male_stats.csv.gz" # download.file(myurl, destfile=myfile, mode="w") # mycon <- gzcon(gzfile(myfile,

Hi All, I was wodering if it is possible to increase the precision using R. I ran the script below in R and MAPLE and I got different results when k is large. Any idea how to fix this problem? thanks for your help for (k in 0:2000){ s=0 for(i in 0:k){ s=s+((-1)^i)*3456*(1+i*1/2000)^3000 } } -- View this message in context:

Hi, i have an small doubt. How can we remove serial-number column while writing a dataframe in to a csv file ? for eg:- write.csv(MyDataFrame,"c:/MyData.csv") name place ----------- ----------- 1 antony uk 2 john usa 3 arjun ind here, in the csv file, serial number column is coming extra on the left-end side. i want to remove

Hi All, I have a dataset that I would like to split based on : or ? ( the data file is tab delimited) for example: Ny:23-45 AC BA:88-91 DB KJ:21-13 PA And I would like the data to be splitted and the final results look like NY 23 45 AC BA 88 91 DB KJ 21 13 PA I would like to have the resulting data as a data frame so each column is a variable. Thanks, -- View this message in context:

I do have some data of dim 100*3 (i.e 100 rows and 3 columns ) stored in a txt file. I want to read the data into R, Perform the same operation in each row and store the result in a forth column( that I should create). I do not know how I can create a forth column to store the result of the operation for each row? -- View this message in context: