I want to read in a SAS data file (sas7bdat format) into R. I've tried using sas7bdat package, but ended up getting error.
CODE:
x <- read.sas7bdat("C:\Users\petas\Desktop\airline.sas7bdat")
ERROR:
'\U' used without hex digits in character string starting ""C:\U"
Can someone help me with this? Thanks in advance.
Posting example by using haven library
install.packages("haven")
library(haven)
url <- "C:\\Users\\petas\\Desktop\\airline.sas7bdat"
x <- read_sas(url)
If you use windows than you need to use instead "\" use "\\" or Unix/linux style "/". Easiest will be to use forward slashes so will be compatible in the future with the path of any OS, in your case Error: '\U' used without hex digits in character string starting ""C:\U" is due the use of single backslashes instead double backslashes.
Hope it helps.
Try using forward slashes:
x <- read.sas7bdat("C:/Users/petas/Desktop/airline.sas7bdat")
Related
I run R on Windows, and have a csv file on the Desktop. I load it as follows,
x<-read.csv("C:\Users\surfcat\Desktop\2006_dissimilarity.csv",header=TRUE)
but the R gives the following error message
Error: '\U' used without hex digits in character string starting "C:\U"
So what's the correct way to load this file. I am using Vista
replace all the \ with \\.
it's trying to escape the next character in this case the U so to insert a \ you need to insert an escaped \ which is \\
Please do not mark this response as correct as smitec has already answered correctly. I'm including a convenience function I keep in my .First library that makes converting a windows path to the format that works in R (the methods described by Sacha Epskamp). Simply copy the path to your clipboard (ctrl + c) and then run the function as pathPrep(). No need for an argument. The path is printed to your console correctly and written to your clipboard for easy pasting to a script. Hope this is helpful.
pathPrep <- function(path = "clipboard") {
y <- if (path == "clipboard") {
readClipboard()
} else {
cat("Please enter the path:\n\n")
readline()
}
x <- chartr("\\", "/", y)
writeClipboard(x)
return(x)
}
Solution
Try this: x <- read.csv("C:/Users/surfcat/Desktop/2006_dissimilarity.csv", header=TRUE)
Explanation
R is not able to understand normal windows paths correctly because the "\" has special meaning - it is used as escape character to give following characters special meaning (\n for newline, \t for tab, \r for carriage return, ..., have a look here ).
Because R does not know the sequence \U it complains. Just replace the "\" with "/" or use an additional "\" to escape the "\" from its special meaning and everything works smooth.
Alternative
On windows, I think the best thing to do to improve your workflow with windows specific paths in R is to use e.g. AutoHotkey which allows for custom hotkeys:
define a Hotkey, e.g. Cntr-Shift-V
assigns it an procedure that replaces backslashes within your Clipboard with
slaches ...
when ever you want to copy paste a path into R you can use Cntr-Shift-V instead of Cntr-V
Et-voila
AutoHotkey Code Snippet (link to homepage)
^+v::
StringReplace, clipboard, clipboard, \, /, All
SendInput, %clipboard%
My Solution is to define an RStudio snippet as follows:
snippet pp
"`r gsub("\\\\", "\\\\\\\\\\\\\\\\", readClipboard())`"
This snippet converts backslashes \ into double backslashes \\. The following version will work if you prefer to convert backslahes to forward slashes /.
snippet pp
"`r gsub("\\\\", "/", readClipboard())`"
Once your preferred snippet is defined, paste a path from the clipboard by typing p-p-TAB-ENTER (that is pp and then the tab key and then enter) and the path will be magically inserted with R friendly delimiters.
Replace back slashes \ with forward slashes / when running windows machine
I know this is really old, but if you are copying and pasting anyway, you can just use:
read.csv(readClipboard())
readClipboard() escapes the back-slashes for you. Just remember to make sure the ".csv" is included in your copy, perhaps with this:
read.csv(paste0(readClipboard(),'.csv'))
And if you really want to minimize your typing you can use some functions:
setWD <- function(){
setwd(readClipboard())
}
readCSV <- function(){
return(readr::read_csv(paste0(readClipboard(),'.csv')))
}
#copy directory path
setWD()
#copy file name
df <- readCSV()
Replacing backslash with forward slash worked for me on Windows.
The best way to deal with this in case of txt file which contains data for text mining (speech, newsletter, etc.) is to replace "\" with "/".
Example:
file<-Corpus(DirSource("C:/Users/PRATEEK/Desktop/training tool/Text Analytics/text_file_main"))
I think that R is reading the '\' in the string as an escape character. For example \n creates a new line within a string, \t creates a new tab within the string.
'\' will work because R will recognize this as a normal backslash.
readClipboard() works directly too. Copy the path into your clipboard
C:\Users\surfcat\Desktop\2006_dissimilarity.csv
Then
readClipboard()
appears as
[1] "C:\\Users\\surfcat\\Desktop\\2006_dissimilarity.csv"
A simple way is to use python.
in python terminal type
r"C:\Users\surfcat\Desktop\2006_dissimilarity.csv"
and you'll get back
'C:\Users\surfcat\Desktop\2006_dissimilarity.csv'
I run R on Windows, and have a csv file on the Desktop. I load it as follows,
x<-read.csv("C:\Users\surfcat\Desktop\2006_dissimilarity.csv",header=TRUE)
but the R gives the following error message
Error: '\U' used without hex digits in character string starting "C:\U"
So what's the correct way to load this file. I am using Vista
replace all the \ with \\.
it's trying to escape the next character in this case the U so to insert a \ you need to insert an escaped \ which is \\
Please do not mark this response as correct as smitec has already answered correctly. I'm including a convenience function I keep in my .First library that makes converting a windows path to the format that works in R (the methods described by Sacha Epskamp). Simply copy the path to your clipboard (ctrl + c) and then run the function as pathPrep(). No need for an argument. The path is printed to your console correctly and written to your clipboard for easy pasting to a script. Hope this is helpful.
pathPrep <- function(path = "clipboard") {
y <- if (path == "clipboard") {
readClipboard()
} else {
cat("Please enter the path:\n\n")
readline()
}
x <- chartr("\\", "/", y)
writeClipboard(x)
return(x)
}
Solution
Try this: x <- read.csv("C:/Users/surfcat/Desktop/2006_dissimilarity.csv", header=TRUE)
Explanation
R is not able to understand normal windows paths correctly because the "\" has special meaning - it is used as escape character to give following characters special meaning (\n for newline, \t for tab, \r for carriage return, ..., have a look here ).
Because R does not know the sequence \U it complains. Just replace the "\" with "/" or use an additional "\" to escape the "\" from its special meaning and everything works smooth.
Alternative
On windows, I think the best thing to do to improve your workflow with windows specific paths in R is to use e.g. AutoHotkey which allows for custom hotkeys:
define a Hotkey, e.g. Cntr-Shift-V
assigns it an procedure that replaces backslashes within your Clipboard with
slaches ...
when ever you want to copy paste a path into R you can use Cntr-Shift-V instead of Cntr-V
Et-voila
AutoHotkey Code Snippet (link to homepage)
^+v::
StringReplace, clipboard, clipboard, \, /, All
SendInput, %clipboard%
My Solution is to define an RStudio snippet as follows:
snippet pp
"`r gsub("\\\\", "\\\\\\\\\\\\\\\\", readClipboard())`"
This snippet converts backslashes \ into double backslashes \\. The following version will work if you prefer to convert backslahes to forward slashes /.
snippet pp
"`r gsub("\\\\", "/", readClipboard())`"
Once your preferred snippet is defined, paste a path from the clipboard by typing p-p-TAB-ENTER (that is pp and then the tab key and then enter) and the path will be magically inserted with R friendly delimiters.
Replace back slashes \ with forward slashes / when running windows machine
I know this is really old, but if you are copying and pasting anyway, you can just use:
read.csv(readClipboard())
readClipboard() escapes the back-slashes for you. Just remember to make sure the ".csv" is included in your copy, perhaps with this:
read.csv(paste0(readClipboard(),'.csv'))
And if you really want to minimize your typing you can use some functions:
setWD <- function(){
setwd(readClipboard())
}
readCSV <- function(){
return(readr::read_csv(paste0(readClipboard(),'.csv')))
}
#copy directory path
setWD()
#copy file name
df <- readCSV()
Replacing backslash with forward slash worked for me on Windows.
The best way to deal with this in case of txt file which contains data for text mining (speech, newsletter, etc.) is to replace "\" with "/".
Example:
file<-Corpus(DirSource("C:/Users/PRATEEK/Desktop/training tool/Text Analytics/text_file_main"))
I think that R is reading the '\' in the string as an escape character. For example \n creates a new line within a string, \t creates a new tab within the string.
'\' will work because R will recognize this as a normal backslash.
readClipboard() works directly too. Copy the path into your clipboard
C:\Users\surfcat\Desktop\2006_dissimilarity.csv
Then
readClipboard()
appears as
[1] "C:\\Users\\surfcat\\Desktop\\2006_dissimilarity.csv"
A simple way is to use python.
in python terminal type
r"C:\Users\surfcat\Desktop\2006_dissimilarity.csv"
and you'll get back
'C:\Users\surfcat\Desktop\2006_dissimilarity.csv'
I'm trying to take an input path and convert the slashes from backwards to forwards as part of an R package. There are some suggestions to do this here and elsewhere, but all of these solutions require some amount of interaction by the user: either copying a path, or selecting a path from a prompt. I would be happy if I could find a solution that works on strings, but when I try to use strings with slashes in R, I run into problems.
# example path
path <- "C:\aaa\bbb\fff\"\n" # I have to add this \n linebreak for R to save the object without an error
# replace slashes in string
gsub(pattern="\"", replacement="/", x=path) # I have to put an extra quote in the pattern to avoid error, but this makes it not work.
Note that to avoid errors in this example, I had to save the path with a linebreak and there is an extra quote in the pattern for gsub. This is only a problem on Windows computers, but I need my package to work on Windows. Thanks in advance for suggestions.
I would like to convert the character encoding of one of my variable in a dataset but I don't understand why the iconv command is not working.
My gist file is here : https://gist.github.com/pachevalier/5850660
Two ideas come to mind:
1) you have a simple problem and are asking the wrong question
-- the final line in your Gist is
Encoding(tab$fiche_communale$Nom)
Are you actually wanting:
Encoding(tab$fiche_communale$name)
2) readHTMLTable may not be reading in the character encoding correctly, in which case, you could set it explicitly with Encoding(tab$fiche_communale$Nom) <- "latin-1"
3) try relying on iconv to detect the local encoding:
iconv(tab$fiche_communale$Nom, from="", to="UTF-8")
I run R on Windows, and have a csv file on the Desktop. I load it as follows,
x<-read.csv("C:\Users\surfcat\Desktop\2006_dissimilarity.csv",header=TRUE)
but the R gives the following error message
Error: '\U' used without hex digits in character string starting "C:\U"
So what's the correct way to load this file. I am using Vista
replace all the \ with \\.
it's trying to escape the next character in this case the U so to insert a \ you need to insert an escaped \ which is \\
Please do not mark this response as correct as smitec has already answered correctly. I'm including a convenience function I keep in my .First library that makes converting a windows path to the format that works in R (the methods described by Sacha Epskamp). Simply copy the path to your clipboard (ctrl + c) and then run the function as pathPrep(). No need for an argument. The path is printed to your console correctly and written to your clipboard for easy pasting to a script. Hope this is helpful.
pathPrep <- function(path = "clipboard") {
y <- if (path == "clipboard") {
readClipboard()
} else {
cat("Please enter the path:\n\n")
readline()
}
x <- chartr("\\", "/", y)
writeClipboard(x)
return(x)
}
Solution
Try this: x <- read.csv("C:/Users/surfcat/Desktop/2006_dissimilarity.csv", header=TRUE)
Explanation
R is not able to understand normal windows paths correctly because the "\" has special meaning - it is used as escape character to give following characters special meaning (\n for newline, \t for tab, \r for carriage return, ..., have a look here ).
Because R does not know the sequence \U it complains. Just replace the "\" with "/" or use an additional "\" to escape the "\" from its special meaning and everything works smooth.
Alternative
On windows, I think the best thing to do to improve your workflow with windows specific paths in R is to use e.g. AutoHotkey which allows for custom hotkeys:
define a Hotkey, e.g. Cntr-Shift-V
assigns it an procedure that replaces backslashes within your Clipboard with
slaches ...
when ever you want to copy paste a path into R you can use Cntr-Shift-V instead of Cntr-V
Et-voila
AutoHotkey Code Snippet (link to homepage)
^+v::
StringReplace, clipboard, clipboard, \, /, All
SendInput, %clipboard%
My Solution is to define an RStudio snippet as follows:
snippet pp
"`r gsub("\\\\", "\\\\\\\\\\\\\\\\", readClipboard())`"
This snippet converts backslashes \ into double backslashes \\. The following version will work if you prefer to convert backslahes to forward slashes /.
snippet pp
"`r gsub("\\\\", "/", readClipboard())`"
Once your preferred snippet is defined, paste a path from the clipboard by typing p-p-TAB-ENTER (that is pp and then the tab key and then enter) and the path will be magically inserted with R friendly delimiters.
Replace back slashes \ with forward slashes / when running windows machine
I know this is really old, but if you are copying and pasting anyway, you can just use:
read.csv(readClipboard())
readClipboard() escapes the back-slashes for you. Just remember to make sure the ".csv" is included in your copy, perhaps with this:
read.csv(paste0(readClipboard(),'.csv'))
And if you really want to minimize your typing you can use some functions:
setWD <- function(){
setwd(readClipboard())
}
readCSV <- function(){
return(readr::read_csv(paste0(readClipboard(),'.csv')))
}
#copy directory path
setWD()
#copy file name
df <- readCSV()
Replacing backslash with forward slash worked for me on Windows.
The best way to deal with this in case of txt file which contains data for text mining (speech, newsletter, etc.) is to replace "\" with "/".
Example:
file<-Corpus(DirSource("C:/Users/PRATEEK/Desktop/training tool/Text Analytics/text_file_main"))
I think that R is reading the '\' in the string as an escape character. For example \n creates a new line within a string, \t creates a new tab within the string.
'\' will work because R will recognize this as a normal backslash.
readClipboard() works directly too. Copy the path into your clipboard
C:\Users\surfcat\Desktop\2006_dissimilarity.csv
Then
readClipboard()
appears as
[1] "C:\\Users\\surfcat\\Desktop\\2006_dissimilarity.csv"
A simple way is to use python.
in python terminal type
r"C:\Users\surfcat\Desktop\2006_dissimilarity.csv"
and you'll get back
'C:\Users\surfcat\Desktop\2006_dissimilarity.csv'