Error in chartodate x текстовая строка не относится к стандартному однозначному формату

In this R programming post you’ll learn how to fix the “Error in charToDate(x) : character string is not in a standard unambiguous format”.

The content of the post looks as follows:

With that, here’s how to do it!

Example 1: Reproduce the Error in charToDate(x) : character string is not in a standard unambiguous format

In Example 1, I’ll explain how to replicate the “Error in charToDate(x) : character string is not in a standard unambiguous format” when converting character strings to dates in R.

Let’s assume that we want to convert the character string “25 Jan 2025” to the Date class. Then, we might try to apply the as.Date function as shown below:

as.Date("25 Jan 2025")        # Trying to apply as.Date to wrong format
# Error in charToDate(x) : 
#   character string is not in a standard unambiguous format

Unfortunately, the previous R code has returned the error message “Error in charToDate(x) : character string is not in a standard unambiguous format”.

The reason for this error message is that our character string did not have the correct date format.

In the following examples, I’ll show how to solve this problem!

Example 2: Fix the charToDate Error by Changing the Date Format

The following R code shows how to specify the correct format when transforming a character to a date.

If we want to apply the as.Date function properly, we have to use the following date structure:

as.Date("2025-01-25")         # Applying as.Date to correct format
# [1] "2025-01-25"

This time, our code worked flawlessly, and our character string was properly converted to the Date class.

However, this approach might not be useful when dealing with many dates, since it might be too complicated to change all date formats manually.

In the next example, I’ll therefore explain a nice workaround that can be used to transform character strings with the wrong date format.

Example 3: Fix the charToDate Error Using the anydate() Function of the anytime Package

Example 3 explains how to use the anytime package to change character strings to the Date class.

To be able to use the functions of the anytime package, we first have to install and load anytime.

install.packages("anytime")   # Install anytime package
library("anytime")            # Load anytime

Now, we can use the anydate function to convert our original character string from Example 1 to the Date class. The anydate function spots the structure and converts our character string accordingly:

anydate("25 Jan 2025")        # Applying anydate function
# [1] "2025-01-25"

Great!

Video & Further Resources

Would you like to learn more about the debugging of the “Error in charToDate(x) : character string is not in a standard unambiguous format”? Then I recommend watching the following video on my YouTube channel. I explain the contents of this article in the video.

The YouTube video will be added soon.

Furthermore, you may read some of the related articles on this website. I have released several tutorials about related topics such as coding errors, numeric values, counting, and data inspection.

• predict Error in eval(predvars, data, env) : numeric ‘envir’ arg not of length one
• Count Number of Words in Character String
• Find Position of Character in String
• Get Frequency of Words in Character String
• Error in as.POSIXlt.character : string not standard unambiguous format
• Dealing with Error & Warning Messages in R (Overview)
• Creating Plots in R
• R Programming Examples

To summarize: At this point you should have learned how to handle the “Error in charToDate(x) : character string is not in a standard unambiguous format” in R programming. In case you have further questions, please let me know in the comments.

$ R --vanilla

> as.Date("01 Jan 2000")
Error in charToDate(x) :
    character string is not in a standard unambiguous format

> as.Date("01/01/2000")
[1] "0001-01-20"

> sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: x86_64-w64-mingw32/x64 (64-bit)

locale:
[1] LC_COLLATE=English_United Kingdom.1252
[2] LC_CTYPE=English_United Kingdom.1252
[3] LC_MONETARY=English_United Kingdom.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United Kingdom.1252

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

6

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

 dimensions = 'ga:campaign,ga:adGroup,ga:transactionId' 

    dimensions = 'ga:date,ga:campaign,ga:adGroup,ga:transactionId'

for (i in 1:length(GAProfileTable$id)) {

print(paste("Fetching:",GAProfileTable$name[i],
            "ProfileID:",GAProfileTable$id[i], 
            start_date, end_date, metrics, dimensions,
            "sort:", sort,"filters:",filters, "segment:",segment))
# If max is -1, then no limit on max and it will get all results
if (max_results<0) {
  GA.data <- try(ga$getData(GAProfileTable$id[i], batch = TRUE, start.date = start_date, end.date = end_date, 
                          metrics = metrics, dimensions = dimensions, 
                          sort = sort, filters = filters, segment = segment,
                          start = start_index), silent = TRUE)
} else {      #otherwise it will get max results.
  GA.data <- try(ga$getData(GAProfileTable$id[i], batch = TRUE, start.date = start_date, end.date = end_date, 
                          metrics = metrics, dimensions = dimensions, 
                          sort = sort, filters = filters, segment = segment,
                          start = start_index, max = max_results), silent = TRUE)

}

      #if error, class is "try-error"
      if (class(GA.data) != "try-error"){
        print("Fetch Successful, writing")
        GA.data$name <- GAProfileTable$name[i]
        GA.data$currency <- GAProfileTable$currency[i]
        Results <- rbind(Results,GA.data)
      } else {
        ErrorMessage <- paste("WARK WARK ERROR WITH GAProfileTable$id = ",
                              GAProfileTable$id[i],
                              "name:",
                              GAProfileTable$name[i])
        Results <- rbind(Results,GA.data)
        print(ErrorMessage)
        print(GA.data)
      }    

У меня есть данные о дате, и я хочу извлечь название месяца и его год:

>head(merged.tables$Date)

 2015-07-31
 2013-01-12
 2014-01-03
 2014-12-03
 2013-11-13
 2013-10-27

Другими словами, мне нужно получить результат, расположенный в порядке возрастания следующим образом:

January_2013
 October_2013
 November_2013
 January_2014
 December_2014
 July_2015

Поэтому я попытался использовать этот код для первого преобразования, как показано в приведенном выше коде.

merged.tables$Date <-paste(months(as.Date(merged.tables$Date)),year(as.Date(merged.tables$Date)),sep="_")

Но он показывает мне эту ошибку:

Ошибка в charToDate (x): символьная строка не в стандартном однозначном формате

Я попытался адаптировать это решение символьная строка не входит в стандартную однозначную формат. Но я не могу это решить!

Спасибо за вашу помощь

Вы можете использовать order в исходных датах, чтобы получить правильный порядок.
Сначала прочтите свой пример данных.

Date <- scan(what = character(), text = '
2015-07-31
 2013-01-12
 2014-01-03
 2014-12-03
 2013-11-13
 2013-10-27')
Date <- as.Date(Date)

Теперь переформатируйте и упорядочите их.

inx <- order(Date)
newDate <- format(Date, format = "%B_%Y")[inx]
newDate
#[1] "January_2013"  "October_2013"  "November_2013" "January_2014" 
#[5] "December_2014" "July_2015"

Обратите внимание, что это предполагает, что даты относятся к классу Date.

Попробуйте это (передав свою дату персонажу):

merged.tables$Date <-paste(months(as.Date(as.character(merged.tables$Date))),year(as.Date(as.character(merged.tables$Date))),sep="_")

Если вы создадите свой data.frame таким образом, у вас не будет этой ошибки:

merged.tables<-data.frame(Date=c("2015-07-31","2013-01-12",
"2014-01-03",
"2014-12-03",
"2013-11-13",
"2013-10-27"))

Я предполагаю, что проблема связана с классом ваших данных.

Заказ:

merged.tables$Date2 <-paste(months(as.Date(as.character(merged.tables$Date))),year(as.Date(as.character(merged.tables$Date))),sep="_")

merged.tables[order(merged.tables$Date),]
        Date         Date2
2 2013-01-12  gennaio_2013
6 2013-10-27  ottobre_2013
5 2013-11-13 novembre_2013
3 2014-01-03  gennaio_2014
4 2014-12-03 dicembre_2014
1 2015-07-31   luglio_2015