请考虑以下以逗号分隔的文件。为简单起见让它包含一条线: 'I am quoted','so, can use comma inside - it is not separator here','but can\'t use escaped quote :=('
如果你试图用命令 table <- read.csv(filename, header=FALSE)
线路将被分离到4个部分读它,
我试图导入日文版的csv。此代码: url <- 'http://www.mof.go.jp/international_policy/reference/itn_transactions_in_securities/week.csv'
x <- read.csv(url, header=FALSE, stringsAsFactors=FALSE)
返回以下错误: Error in type
我在若干案件中看出,虽然read.table()是无法读取制表符分隔的文件(例如微阵列的注释表)返回以下错误: Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :
line xxx did not have yyy elements
read.csv()完美地在同一个文件中完美无误地工作。我
我有如下形式的一些数据: date,time,val1,val2
20090503,0:05:12,107.25,1
20090503,0:05:17,108.25,20
20090503,0:07:45,110.25,5
20090503,0:07:56,106.25,5
是来自一个CSV文件。我是比较新的R,所以我尝试 data <-read.csv("sample.csv", h