我正在使用Windows 10电脑上的
为什么会发生这个错误?是否有一种直接通过
更新:
当使用
data.table::fread
从.csv文件中读取数据。通过read.csv
,数据可以正确读入;然而,当我使用fread
来读取数据时,结果数据表中每一行的最后一列都以\r
结尾,这可能表示回车符。这会导致数字字段被赋予字符数据类型。(一个以字符文字4.53\r
表示的行终止单元格,而不是数值文字4.53
。)为什么会发生这个错误?是否有一种直接通过
fread
函数调用解决此问题的方法?更新:
当使用
verbose=TRUE
参数时,我得到以下结果:Input contains no \n. Taking this to be a filename to open
File opened, filesize is 0.000001 GB.
Memory mapping ... ok
Detected eol as \n only (no \r afterwards), the UNIX and Mac standard.
Positioned on line 1 after skip or autostart
This line is the autostart and not blank so searching up for the last non-blank ... line 1
Detecting sep ... ','
Detected 7 columns. Longest stretch was from line 1 to line 13
Starting data input on line 1 (either column names or first row of data). First 10 characters: subjectNum
All the fields on line 1 are character fields. Treating as the column names.
Count of eol: 13 (including 1 at the end)
Count of sep: 72
nrow = MIN( nsep [72] / ncol [7] -1, neol [13] - nblank [1] ) = 12
Type codes ( first 5 rows): 1131414
Type codes: 1131414 (after applying colClasses and integer64)
Type codes: 1131414 (after applying drop or select (if supplied)
Allocating 7 column slots (7 - 0 dropped)
Read 12 rows. Exactly what was estimated and allocated up front
0.000s ( 0%) Memory map (rerun may be quicker)
0.001s ( 33%) sep and header detection
0.000s ( 0%) Count rows (wc -l)
0.002s ( 67%) Column type detection (first, middle and last 5 rows)
0.000s ( 0%) Allocation of 12x7 result (xMB) in RAM
0.000s ( 0%) Reading data
0.000s ( 0%) Allocation for type bumps (if any), including gc time if triggered
0.000s ( 0%) Coercing data already read in type bumps (if any)
0.000s ( 0%) Changing na.strings to NA
0.003s Total
fread("a\n1\r\n2\r\n")
?在这种情况下,行尾标识符不一致,导致了你所看到的行为。 - Frank