library("readxl")
my_data <- read_excel("GVA.xlsx")
my_data
however the console says the path does not exist.
How can I import excel/csv files and know that the file will always be found.
Why does this not work?
p.s.
I am new to R
Well, is 'GVA.xlsx' in your working directory? If not, R can't find it because you're not mapping to anything outside of your current directory. You can navigate to the file by clicking on: File > Import Dataset > From Excel. Browse to your file and set any required import options. R will actually create the code to map to the file in question.
Related
I am still new to R and I am not sure if I am missing something simple. I can open the excel file in R and it displays only the first tab/sheet. I know the path exists because I have the file currently on R and I copied the path right from the "copy path" option on the document. The file is also in my set working directory. Image of rstudio below. Thank you.
I suggest this workflow instead:
path <- "C:\\Users\\spice\\......." # use your real path here
shnms <- sheet_names(path)
alldata <- lapply(shnms, function(nm) read_excel(path, sheet=nm))
and you'll get a named list, each element is a worksheet in the original workbook.
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.
I am trying to import a xlsx file into R but I keep getting this error when copying the file path. The file path is "C:\Users\aj\Downloads" so I have been writing:
library(openxlsx)
Data <- read.xlsx(paste0(C:\Users\aj\Downloads, '\Data.xlsx'))
I tried switching to "/" from "" and I got a different error that stated unexpected input. Does anybody know what I am missing or if I am even on the right track?
As a work-around: you could use the Import Dataset button in the Environment pane. It will import the dataset for you and also show you the correct command.
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.
I tried to display a folder using R script. I know commands like file.choose() and file.show() but I would like to run an R script to display the folder (a real folder, not the picture nor a screenshot of it). After display the folder, the script is done. I'd like to be able to choose to open any file in the folder but won't import anything into R.
file.show() will display a exactly file but I would like to display a folder. Maybe I can say what I am looking for is folder.show() or dictionary.show()??
file.choose() will import that file to R but I do not want to import anything into R
Any ideas?
Try ( if OS=windows)
shell("explorer C:\\Users\\xxx\\yy", intern=TRUE)