Extract Month and Year From Date in R

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[愿得一人]
[愿得一人] 2020-11-27 15:31

I have tried a number of methods to no avail. I have data in terms of a date (YYYY-MM-DD) and am trying to get in terms of just the month and year, such as: MM-YYYY or YYYY-

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  • 2020-11-27 16:15

    Here's another solution using a package solely dedicated to working with dates and times in R:

    library(tidyverse)
    library(lubridate)
    
    (df <- tibble(ID = 1:3, Date = c("2004-02-06" , "2006-03-14", "2007-07-16")))
    #> # A tibble: 3 x 2
    #>      ID Date      
    #>   <int> <chr>     
    #> 1     1 2004-02-06
    #> 2     2 2006-03-14
    #> 3     3 2007-07-16
    
    df %>%
      mutate(
        Date = ymd(Date),
        Month_Yr = format_ISO8601(Date, precision = "ym")
      )
    #> # A tibble: 3 x 3
    #>      ID Date       Month_Yr
    #>   <int> <date>     <chr>   
    #> 1     1 2004-02-06 2004-02 
    #> 2     2 2006-03-14 2006-03 
    #> 3     3 2007-07-16 2007-07
    

    Created on 2020-09-01 by the reprex package (v0.3.0)

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  • 2020-11-27 16:24

    Use substring?

    d = "2004-02-06"
    substr(d,0,7)
    >"2004-02"
    
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  • 2020-11-27 16:29

    This will add a new column to your data.frame with the specified format.

    df$Month_Yr <- format(as.Date(df$Date), "%Y-%m")
    
    df
    #>   ID       Date Month_Yr
    #> 1  1 2004-02-06  2004-02
    #> 2  2 2006-03-14  2006-03
    #> 3  3 2007-07-16  2007-07
    
    # your data sample
      df <- data.frame( ID=1:3,Date = c("2004-02-06" , "2006-03-14" , "2007-07-16") )
    

    a simple example:

    dates <- "2004-02-06"
    
    format(as.Date(dates), "%Y-%m")
    > "2004-02"
    

    side note: the data.table approach can be quite faster in case you're working with a big dataset.

    library(data.table)
    setDT(df)[, Month_Yr := format(as.Date(Date), "%Y-%m") ]
    
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  • 2020-11-27 16:29

    The data.table package introduced the IDate class some time ago and zoo-package-like functions to retrieve months, days, etc (Check ?IDate). so, you can extract the desired info now in the following ways:

    require(data.table)
    df <- data.frame(id = 1:3,
                     date = c("2004-02-06" , "2006-03-14" , "2007-07-16"))
    setDT(df)
    df[ , date := as.IDate(date) ] # instead of as.Date()
    df[ , yrmn := paste0(year(date), '-', month(date)) ]
    df[ , yrmn2 := format(date, '%Y-%m') ]
    
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