On 2024-09-07 4:52 p.m., Jeff Newmiller via R-help wrote:
When you specify LE in the encoding type, you are logically telling the decoder
that you know the two-byte pairs are in little-endian order... which could
override whatever the byte-order-mark was indicating. If the BOM indicated
big-endian then the file decoding would break. If there is a BOM, don't
override it unless you have to (e.g. for a wrong BOM)... leave off the LE
unless you really need it.
That sounds like good advice, but it doesn't work:
> read.delim(
+ 'https://online.stat.psu.edu/onlinecourses/sites/stat501/files
/ch15/employee.txt',
+ fileEncoding = "UTF-16"
+ )
[1] time
[2]
vendor.洀攀琀愀氀........㐀㐀........㜀.㐀㐀........㤀.㐀㐀.㐀..㐀.....㐀..㐀..㔀...㜀.㐀..㠀..㘀...㠀.㐀㐀....㜀...㔀.㐀㐀.
and so on.
On September 7, 2024 1:22:23 PM PDT, Enrico Schumann <e...@enricoschumann.net>
wrote:
On Sun, 08 Sep 2024, Christofer Bogaso writes:
Hi,
I am trying to the data from
https://online.stat.psu.edu/onlinecourses/sites/stat501/files/ch15/employee.txt
without any success. Below is the error I am getting:
read.delim('https://online.stat.psu.edu/onlinecourses/sites/stat501/files/ch15/employee.txt')
Error in make.names(col.names, unique = TRUE) :
invalid multibyte string at '<ff><fe>t'
In addition: Warning messages:
1: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 1 appears to contain embedded nulls
2: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 2 appears to contain embedded nulls
3: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 3 appears to contain embedded nulls
4: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 4 appears to contain embedded nulls
5: In read.table(file = file, header = header, sep = sep, quote = quote, :
line 5 appears to contain embedded nulls
Is there any way to read this data directly onto R?
Thanks for your time
The <ff><fe> looks like a byte-order mark
(https://en.wikipedia.org/wiki/Byte_order_mark).
Try this:
fn <-
file('https://online.stat.psu.edu/onlinecourses/sites/stat501/files/ch15/employee.txt',
encoding = "UTF-16LE")
read.delim(fn)
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