similar to: Check results between two data.frame

Dear R users I am struggling from a data importing issue: I have some hundreds of csv files needed to be read into R for futher analysis. All those csv files are named in one of the three formats: (1) strings: e.g. London_Oxford street (2) Integer: e.g. 1234_5678 (3) combined: e.g. London_1234 I intend to use read.csv("xxxx_xxx.csv") but I only dealt with sigle documents before and

To Whom It May Concern: I have noticed that all of the hyphens ("-") are changed to periods (".") when I try to read.table() and the headers contain "-" I am using R 2.13 on a RedHat system. Here is the situation: I have the following a tab-delimited text file saved as test.txt File1-a.txt File1-b.txt File2-a.txt File2-b.txt 1 1 2 1 1 2 3 2 1 1 2 3

Hello there, Much thanks in advance for any help. I have a few questions: 1) Why do I keep getting the following error: File1 <- read.csv("../RawData/File1.csv",as.is=TRUE,row.names=1) Error in file(file, "rt") : cannot open the connection In addition: Warning message: In file(file, "rt") : cannot open file '../RawData/File1.csv': No such file or

Dear R users Say I wanted to read a vector into R as multi-dimensional array by row, e.g. a<-c(1:20) > b<-array(a,dim=c(2,5,2)) > b , , 1 [,1] [,2] [,3] [,4] [,5] [1,] 1 3 5 7 9 [2,] 2 4 6 8 10 , , 2 [,1] [,2] [,3] [,4] [,5] [1,] 11 13 15 17 19 [2,] 12 14 16 18 20 But actually I wanted... [,1] [,2] [,3] [,4] [,5]

Dear R user I have data created using code below b<-matrix(2:21,nrow=4) b[,1:3]=NA b[4,2]=5 b[3,1]=6 Now the data is > b [,1] [,2] [,3] [,4] [,5] [1,] NA NA NA 14 18 [2,] NA NA NA 15 19 [3,] 6 NA NA 16 20 [4,] NA 5 NA 17 21 I want to keep data in column 4 greater than 15 and the value in column 1 & 2 either greater than 4

Dear R-user, I have read a dataset from .csv file into R. This dataset includes one column containing some data in 'date and time' format, e.g. 'dd/mm/yyyy hh:mm'. These data were automatically read and saved as 'factor' in R. When I was trying to produce some plots (such as time series) with the above 'date and time' on x-axis, it caused some disodering problem,

Dear R experts, I am trying to import some data from some Excle files into R. My Excle file contains about 50 sheets. One solution I can think about is to convert my Excle file into csv file first and then load data into R using 'read.csv'. But it seems to me that 'read.csv' only supports reading one sheet (or 'one file') each time, so that seems I have to create 50 csv

Hi: I have a two large files (over 300K lines). file 1: Name X UK 199 UK 230 UK 139 ...... UAE 194 UAE 94 File 2: Name X Y UK 140 180 UK 195 240 UK 304 340 .... I want to select X of File 1 and search if it falls in range of X and Y of File 2 and Print only those lines of File 1 that are in range of File 2 X and Y How can it be done it

I have the following situation: file2 on remote host and file1 on localhost. file1 and file2 are mostly the same. Simply running rsync remotehost:file2 file2 will actually transfer the entire file. But I would like to use the factt that I have local file1 that is mostly similar to file2. I.e. how can I make rsync to use file1 as a reference while transferring file2? (cp file1 file2 locally and

Hi, I am trying to use rsync for incremental backup and I am facing some issues. I would like to ask your help to understand what is going on and have the proper command line. 1) my goal is I the following folders: ./dest: file3.txt ./orig: file1.txt   file10.txt  file2.txt   file20.txt And I would like to have as incremental backup ./dest: backup      file1.txt     file2.txt  file3.txt

I have a question about the llvm debugging records, especially wrt compile units. In the non-LLVM sense, a compile unit is essentially everything contained within a single .o file, and it is derived from one or more source and header files. Included in a compile unit are functions and global data. Dwarf records refer to compile units in the same way: a compile unit record has children which

Lets say I have two source files file1.c and file2.c The latter just contains sub-routines to be used by the first. i.e. in file1.c I have the line #include "file2.c" Let's say "R CMD SHLIB file1.c" runs perfectly and I want to include the code in a package, "R CMD build" also runs fine but R CMD check" gives * checking whether package

Hi everyone, I have a question for R code to merge. Say I have two dataframes: File1 is: V1 V2 V3 V4 1 100 101 name1 2 200 201 name2 2 300 301 name3 3 400 401 name4 3 500 501 name5 4 600 601 name6 4 700 701 name7 File2 is: V1 V2 V3 V4 1 50 55 p1 3 402 449 p2 4 550 650 p3 4 651 660

Dear, I am using R I'm trying to identify and remove columns and rows in a data frame that are has elements equals. For example in dataframe below. The columns 1, 2,3,4,5 ,6 and 10 (file1) has elements equal then should be removed. How can I ask R to remove those columns with same elements in new dataframe (file2) to result a matrix as follows: file1 1 0 2 2 1 1 5 1 1 1 1 0

> From: Indunil Jayasooriya <indunil75 at gmail.com> > > > > > > [root at centos67 loop]# cat file1 > > > firstname1 > > > firstname2 > > > > > > [root at centos67 loop]# cat file2 > > > lastname1 > > > lastname2 > > > > > > I need a OUTPUT like this > > > > > > > > >

Hi, all: My folders are organized in such a way: root ----branch1 ---------------A -----------------------file1.txt -----------------------file2.txt ---------------B -----------------------file1.txt -----------------------file2.txt ----branch2 ---------------A -----------------------file1.txt -----------------------file2.txt ---------------B -----------------------file1.txt

Hi, > Suppose I have the following source: > > file1: > #include "file2" > #include "file3" > int fn1(void) ... > > file2: > int a; > > file3: > int fn2(void) ... > > then fn1, along with all the base types etc appear to be in compile unit > "file1", the variable a appears to be in compile unit

dir1 <- list.files("C:\\Users\\aalyaari\\Desktop\\cor", "*.bin", full.names = TRUE) dir2 <- list.files("C:\\Users\\aalyaari\\Desktop\\cor2", "*.bin", full.names = TRUE) results <- list() for (.files in dir1){ # read in the 365 files as a vector of numbers for dir1 file1 <- do.call(rbind,(lapply(.files, readBin ,

I have two CSV files (exported from Excel), say file1 and file2. The have the same number of rows, and each has several columns, with names on the first line; and some of the columns in file1 are repeated in file2. Using the "foreign" package, I can read these in separately to dataframes say d1 and d2 with > d1<-read.csv("file1") >

Is there a way to know where is the source, so as to make a source call inside another source smarter? As an example: file1.R is in directory /files/dir1/ file2.R is in directory /files/dir1/dir2/ In file1.R, there is this line: source("dir2/file2.R") So, if I setwd to /files/dir1/, and then I call source("file1.R"), it will run correctly. However, if I setwd to /files,