I create a text file below:
myFile<-file("toGoogle.txt")
writeLines(c("InternetShortcut]","URL=http://www.google.com","IconFile=http://www.google.com/favicon.ico",
"IconIndex=0"), myFile)
close(myFile)
For clarity the text file now contains the following:
[InternetShortcut]
URL=http://www.google.com
IconFile=http://www.google.com/favicon.ico
IconIndex=0
In Windows, if I manually rename the file to "toGoogle.url" I am prompted:
After saying "Yes" the file is now a usable web link:
However when I use file.rename or any other substitute in R to change the file extension of toGoogle.txt it creates a dead web link with a target of "".
Is there a simple way out there to create a web shortcut using R? Or how can I change the file extension in R in a way that Windows is going to recognize it?
Edit: Using R to make the url weblink gives this:
And opening it prompts me with this:
The function file.rename works for me. And why not use file("toGoogle.url") to create a .url file directly.
Related
I have an excel file that I want to open in R. I tried both of these commands after saving the excel file as a csv file or a text file.
read.table() or read.csv()
I think part of the problem is where the file is located. I have it saved on the desk top. What am I missing here?
Here is the R output
In file(file, "rt") :
cannot open file 'Rtrial.csv': No such file or directory
> help.search("read.csv")
> read.csv("Rtrial.csv")
Error in file(file, "rt") : cannot open the connection
In addition: Warning message:
In file(file, "rt") :
cannot open file 'Rtrial.csv': No such file or directory
> read.table("tab")
To throw out another option, why not set the working directory (preferably via a script) to the desktop using setwd('C:\John\Desktop') and then read the files just using file names
Try
f <- file.choose()
to choose the file interactively and save the name in f.
Then run read.csv on the saved filename
d <- read.csv(f)
Sound like you just have an issue with the path. Include the full path, if you use backslashes they need to be escaped: "C:\\folder\\folder\\Desktop\\file.csv" or "C:/folder/folder/Desktop/file.csv".
myfile = read.csv("C:/folder/folder/Desktop/file.csv") # or read.table()
It may also be wise to avoid spaces and symbols in your file names, though I'm fairly certain spaces are OK.
I had to combine Maiasaura and Svun answers to get it to work: using setwd and escaping all the slashes and spaces.
setwd('C:\\Users\\firstname\ lastname\\Desktop\\folder1\\folder2\\folder3')
data = read.csv("file.csv")
data
This solved the issue for me.
Here is one way to do it. It uses the ability of R to construct file paths based on the platform and hence will work on both Mac OS and Windows. Moreover, you don't need to convert your xls file to csv, as there are many R packages that will help you read xls directly (e.g. gdata package).
# get user's home directory
home = setwd(Sys.getenv("HOME"));
# construct path to file
fpath = file.path(home, "Desktop", "RTrial.xls");
# load gdata library to read xls files
library(gdata);
# read xls file
Rtrial = read.xls(fpath);
Let me know if this works.
Save as in excel will keep the file open and lock it so you can't open it. Close the excel file or you won't be able to use it in R.
Give the full path and escape backslashes read.csv("c:\\users\\JoeUser\\Desktop\\JoesData.csv")
I have experienced that this error occurs when you either move the excel file to the destination other than where your r file is located or when you move your r file to the destination other than where your excel file is located.
Good Practice:
Keep your .r and .csv files in the same directory.
open your .r file from getting into its directory instead of opening the r file from rstuio's open file option.
You also have import Dataset option at Environment Block, just click there and get your required packages installed & from next time use this option to read datasets. You will not get this error again.
I also appreciate the above provided answers.
Another way of reading Excel including the new format xlsx could be the package speedR (https://r-forge.r-project.org/projects/speedr/). It is an interactive and visual data importer. Besides importing you can filter(subset) the existing objects from the R workspace.
My issue was very simple, the working directory was not the "Source" directory that was printed when the file ran. To fix this, you can use getwd() and setwd() to get your relative links working, or just use a full path when opening the csv.
print(getwd()) # Where does the code think it is?
setwd("~/Documents") # Where do I want my code to be?
dat = read.csv("~/Documents/Data Visualization/expDataAnalysis/one/ac1_survey.csv") #just make it work!
MAC OS It happened to me as well. I simply chose from the R toolbar MISC and then chose Change Working Directory. I was able to choose the directory that the .csv file was saved in. When I went back to the command line and typed getwd() the full directory was updated and correct and the read.csv function finally worked.
I had the same problem and when I checked the properties of the file on file explorer, it shows me the next message:
"Security: This file came from another computer and might be blocked to help protect this computer"
You click on the "Unblock" button and... you can access to the file from R without any problem, just using read.csv() function and from the directory specified as your working directory, even if is not the same as the file’s directory you are accessing to.
I just had this problem and I first switched to another directory and then switched back and the problem was fixed.
this work for me, accesing data from root. use double slash to access address.
dataset = read.csv('C:\\Users\\Desktop\\Machine Learning\\Data.csv')
Kindly check whether the file name has an extension for example:
abc.csv
if so remove the .csv extension.
set wd to the folder containing the file (~)
data<-read.csv("abc.csv")
Your data has been read the data object
In my case this very problem was raised by wrong spelling, lower case 'c:' instead of upper case 'C:' in the path. I corrected spelling and problem vanished.
You can add absolute path to the file
heisenberg <- read.csv(file="C:/Users/tiago/Desktop/sample_100000.csv")
If really want to run something like
heisenberg <- read.csv(file="sample_100000.csv")
then you'll have to change the working directory to match the place the .CSV file is at. More about it here.
How can others who run my R program read a file(eg: csv) used in my R code without having to change the working directory in setwd()?
I will suggest you use the here() function in the here package in your code like this:
library(here)
Data1 <- read_csv(here("test_data.csv"))
read.csv has a file argument and if I were to quote from the inbuilt R help about file:
If it does not contain an absolute path, the file name is relative to
the current working directory, getwd().
So, providing the absolute path of the file inside the file argument solves this problem.
In Windows
Suppose your file name is test.csv and it's located in D:\files\test_folder (you can get the location of any file from its properties in Windows)
For reading this file you run:
df<-read.csv('D:\\files\\test_folder\\test.csv')
or
df<-read.csv('D:/files/test_folder/test.csv')
Suggested reading: Why \\ instead of \ and Paths in programming languages
Haven't used R in Linux but maybe Getting a file path in Linux might help
Read from web
Just type in the web address of the dataset in the file attribute. Try:
df<-read.csv('https://raw.githubusercontent.com/AdiPersonalWorks/Random/master/student_scores%20-%20student_scores.csv')
Note: This link contains a list of 25 students with their study hours and marks. I myself used this dataset for one of my earlier tasks and its perfectly safe
In my opinion the simplest way to create .Renviron file is to use usethis::edit_r_environ().
Is there any analogous command which can create .Renviron.site file ? I couldn't find that command. Or maybe you can figure out some other simply way to create .Renviron.site file ? Only ones I found were very involved and unclear.
Thanks guys
These files are plain text files. You can create them with any text editor that can create .txt files.
So, if the file doesn't already exist:
Open a plain text editor (such as RStudio or Notepad),
create a new
file (and add the desired content),
save it, e.g., as
<R_HOME>/etc/Renviron.site.
The locations where R is searching for these files are described in help("Startup").
I have an excel file that I want to open in R. I tried both of these commands after saving the excel file as a csv file or a text file.
read.table() or read.csv()
I think part of the problem is where the file is located. I have it saved on the desk top. What am I missing here?
Here is the R output
In file(file, "rt") :
cannot open file 'Rtrial.csv': No such file or directory
> help.search("read.csv")
> read.csv("Rtrial.csv")
Error in file(file, "rt") : cannot open the connection
In addition: Warning message:
In file(file, "rt") :
cannot open file 'Rtrial.csv': No such file or directory
> read.table("tab")
To throw out another option, why not set the working directory (preferably via a script) to the desktop using setwd('C:\John\Desktop') and then read the files just using file names
Try
f <- file.choose()
to choose the file interactively and save the name in f.
Then run read.csv on the saved filename
d <- read.csv(f)
Sound like you just have an issue with the path. Include the full path, if you use backslashes they need to be escaped: "C:\\folder\\folder\\Desktop\\file.csv" or "C:/folder/folder/Desktop/file.csv".
myfile = read.csv("C:/folder/folder/Desktop/file.csv") # or read.table()
It may also be wise to avoid spaces and symbols in your file names, though I'm fairly certain spaces are OK.
I had to combine Maiasaura and Svun answers to get it to work: using setwd and escaping all the slashes and spaces.
setwd('C:\\Users\\firstname\ lastname\\Desktop\\folder1\\folder2\\folder3')
data = read.csv("file.csv")
data
This solved the issue for me.
Here is one way to do it. It uses the ability of R to construct file paths based on the platform and hence will work on both Mac OS and Windows. Moreover, you don't need to convert your xls file to csv, as there are many R packages that will help you read xls directly (e.g. gdata package).
# get user's home directory
home = setwd(Sys.getenv("HOME"));
# construct path to file
fpath = file.path(home, "Desktop", "RTrial.xls");
# load gdata library to read xls files
library(gdata);
# read xls file
Rtrial = read.xls(fpath);
Let me know if this works.
Save as in excel will keep the file open and lock it so you can't open it. Close the excel file or you won't be able to use it in R.
Give the full path and escape backslashes read.csv("c:\\users\\JoeUser\\Desktop\\JoesData.csv")
I have experienced that this error occurs when you either move the excel file to the destination other than where your r file is located or when you move your r file to the destination other than where your excel file is located.
Good Practice:
Keep your .r and .csv files in the same directory.
open your .r file from getting into its directory instead of opening the r file from rstuio's open file option.
You also have import Dataset option at Environment Block, just click there and get your required packages installed & from next time use this option to read datasets. You will not get this error again.
I also appreciate the above provided answers.
Another way of reading Excel including the new format xlsx could be the package speedR (https://r-forge.r-project.org/projects/speedr/). It is an interactive and visual data importer. Besides importing you can filter(subset) the existing objects from the R workspace.
My issue was very simple, the working directory was not the "Source" directory that was printed when the file ran. To fix this, you can use getwd() and setwd() to get your relative links working, or just use a full path when opening the csv.
print(getwd()) # Where does the code think it is?
setwd("~/Documents") # Where do I want my code to be?
dat = read.csv("~/Documents/Data Visualization/expDataAnalysis/one/ac1_survey.csv") #just make it work!
MAC OS It happened to me as well. I simply chose from the R toolbar MISC and then chose Change Working Directory. I was able to choose the directory that the .csv file was saved in. When I went back to the command line and typed getwd() the full directory was updated and correct and the read.csv function finally worked.
I had the same problem and when I checked the properties of the file on file explorer, it shows me the next message:
"Security: This file came from another computer and might be blocked to help protect this computer"
You click on the "Unblock" button and... you can access to the file from R without any problem, just using read.csv() function and from the directory specified as your working directory, even if is not the same as the file’s directory you are accessing to.
I just had this problem and I first switched to another directory and then switched back and the problem was fixed.
this work for me, accesing data from root. use double slash to access address.
dataset = read.csv('C:\\Users\\Desktop\\Machine Learning\\Data.csv')
Kindly check whether the file name has an extension for example:
abc.csv
if so remove the .csv extension.
set wd to the folder containing the file (~)
data<-read.csv("abc.csv")
Your data has been read the data object
In my case this very problem was raised by wrong spelling, lower case 'c:' instead of upper case 'C:' in the path. I corrected spelling and problem vanished.
You can add absolute path to the file
heisenberg <- read.csv(file="C:/Users/tiago/Desktop/sample_100000.csv")
If really want to run something like
heisenberg <- read.csv(file="sample_100000.csv")
then you'll have to change the working directory to match the place the .CSV file is at. More about it here.
Is there something in R to open a text file? In Python, one could open a text file using notepad:
import subprocess as sp
programName = "notepad.exe"
fileName = "file.txt"
sp.Popen([programName, fileName])
Other methods are described in the post as well. Is there something similar in R?
Keeping in mind portability issues, i.e. this is specific to Windows, you can use shell.exec, which will open the file in whatever program is associated with that type of file by default - e.g.
## full path
shell.exec(paste0(c(getwd(), "/tmpfile.txt"),collapse = ""))
## relative to current working directory
shell.exec("tmpfile.txt")
both open tmpfile.txt in notepad on my machine.