• CRAN fix for macOS (r-release-macos-arm64)
  • Fix for latest R-devel, that does not allow digits = 0 for format()

  • clean_Date() now supports month-year format for which it sets the day as 1:

    #> (assuming format 'mmmm')
    #> [1] "2021-03-01"
    clean_Date("March 2020")
    #> (assuming format 'mmmm yyyy')
     #> [1] "2020-03-01"
  • freq() now contains a wt argument to set the weights. The default (NULL) yields the old behaviour.

  • Fixed a bug in clean_POSIXct() that led to the warning Incompatible methods ("Ops.POSIXt", "Ops.Date") for ">"

  • New function format_p_value() to format raw p values according to the APA guideline

  • clean_Date() now works with POSIX standards:

    clean_Date("2020-11-12 12:24:12")
    clean_Date(c("2020-11-12 12:24:12", "2020-11-13"), guess_each = TRUE)
  • Currency now prints and formats without symbols as default, use as_symbol = TRUE to print/format with currency symbols

  • Support for older versions of R (v3.2)

  • New function format_names() to quickly and easily change names of data.frame columns, lists or character vectors.

    df <- data.frame(old.name = "test1", value = "test2")
    format_names(df, snake_case = TRUE)
    format_names(df, camelCase = TRUE)
    format_names(df, c(old.name = "new_name", value = "measurement"))
    starwars %>% 
      format_names(camelCase = TRUE) %>% # column names
      mutate(name = name %>% 
               format_names(snake_case = TRUE)) # values in column
  • New generic function na_replace() to replace NA values in any data type. Its default replacement value is dependent on the data type that is given as input: 0 for numeric values and class matrix, FALSE for class logical, today for class Date, and "" otherwise.

    na_replace(c(1, 2, NA, NA))
    #> [1] 1 2 0 0
    na_replace(c(1, 2, NA, NA), replacement = -1)
    #> [1]  1  2 -1 -1
    starwars %>% 
      na_replace(hair_color) # only replace NAs in this column
    starwars %>% 
      na_replace() # replace NAs in all columns ("" for hair_color and 0 for birth_year)
  • Support for the upcoming R 4.1.0

  • New function rdate() to generate random dates (in analogy to e.g. runif())

  • Frequency tables (freq()):

  • Fix for clean_Date() not accepting already POSIX or Date input

  • When using clean_Date(..., guess_each = TRUE) it now accepts the format parameter as a vector of options to let it choose from

  • clean_Date() and clean_POSIXct gained a parameter max_date (that defaults to today), so that they will never return years beyond a specified date:

    # old
    #> [1] "2067-01-23"
    # new
    #> [1] "1967-01-23"
    #> Warning: Some years were decreased by 100 to not exceed today.
    #>          Use clean_Date(..., max_date = Inf) to prevent this.
    clean_Date("23-01-67", max_date = Inf)
    #> [1] "2067-01-23"
  • Cleaned all code using the lintr package

  • Fixed a bug when using a percentage class into the percentage() function, i.e. percentage(as.percentage(1)) would fail
  • Fixed extremely small percentages, like as.percentage(2.5e-14)
  • Added functions clean_double() and clean_integer()
  • Added a method for median() in percentages
  • Fixed a bug where NA in percentages would not be formatted correctly
  • Fixed a bug in frequency tables where sometimes the number of digits used for percentages would be astronomical