修复数据框中的混合日期格式？

Question

我的数据框中的一个列如下所示:

> head(df$col2,n = 50)
 [1] "NA, 2015"           "November 13, 2014"  "September 27, 2014" "October 8, 2014"    "December 16, 2013" 
 [6] "February 8, 2015"   "November 2, 2014"   "November 30, 2014"  "February 18, 2015"  "August 22, 2014"   
[11] "October 26, 2014"   "January 3, 2014"    "May 5, 2015"        "February 3, 2014"   "October 15, 2014"  
[16] "September 12, 2014" "April 2, 2014"      "April 23, 2015"     "November 4, 2014"   "January 16, 2014"  
[21] "September 28, 2014" "January 14, 2014"   "February 13, 2014"  "January 17, 2014"   "January 4, 2014"   
[26] "February 1, 2015"   "January 14, 2014"   "April 18, 2014"     "October 14, 2014"   "August 20, 2014"   
[31] "January 20, 2014"   "April 11, 2015"     "July 5, 2014"       "November 29, 2013"  "March 22, 2014"    
[36] "December 29, 2014"  "February 18, 2015"  "January 13, 2014"   "January 5, 2015"    "April 19, 2014"    
[41] "November 28, 2014"  "13 August, 2014"    "14 December, 2014"  "10 January, 2014"   "3 February, 2014"  
[46] "17 March, 2014"     "3 July, 2014"       "17 October, 2014"   "28 January, 2014"   "10 October, 2014"

正如你所看到的,除了第一行(我知道是NA,这没问题),mdy和dmy之间有两种不同的日期格式.是否有推荐的方法将所有日期标准化为mdy？

它们都在我的数据框列中列为字符格式.我试过了

> datestest <- as.Date(df$col2),

但我明白了

Error in charToDate(x) : character string is not in a standard unambiguous format

结果是.

Answer 1

该parse_date_time函数lubridate允许您解析与使用"订单"的说法异构格式的载体:

require(lubridate)
x <- c("November 2, 2014", "13 August, 2014")

parse_date_time(x, orders = c("mdy", "dmy"))
[1] "2014-11-02 UTC" "2014-08-13 UTC"