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cleaner 1.5.5

  • For clean_factor() switched the names and values of levels
  • Fix CRAN check error

cleaner 1.5.4

  • For clean_Date() and clean_POSIXct(): allow argument max_date to be the same length as x
  • Fix for digits in format()
  • Fix for currency symbols
  • Fix CRAN check error

cleaner 1.5.3

  • CRAN fix for macOS (r-release-macos-arm64)

cleaner 1.5.2

  • 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: 
    clean_Date("March")
#> (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 ">"`


# cleaner 1.5.1

* New function `format_p_value()` to format raw p values according to the APA guideline
* `clean_Date()` now works with POSIX standards:
```r
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)

cleaner 1.5.0

  • 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"))

library(dplyr)
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

library(dplyr)
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

cleaner 1.4.0

  • New function rdate() to generate random dates (in analogy to e.g. runif())
  • Frequency tables (freq()):
    • Added availability of data to header
    • Fix for using na.rm
    • Fix for transforming to a visual histogram with hist()
    • New method for using format() on a frequency table
    • New method for transforming the values of a frequency table to a vector with as.vector(), which also supports dates 
      library(dplyr)
library(cleaner)
data.frame(dates = rdate(100)) %>% 
  freq(dates) %>% 
  as.vector()
  • 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
clean_Date("23-01-67")
#> [1] "2067-01-23"

# new
clean_Date("23-01-67")
#> [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

cleaner 1.3.1

  • 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)

cleaner 1.3.0

  • 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

cleaner 1.2.0

  • DUE TO CRAN POLICY: RENAMED TO PACKAGE TO cleaner
  • Added support for percentages as a new class: as.percentage() and clean_percentage(). They also come with 'S3 methods' for print, format, sum, min and max.
  • More robust coercing of dates
  • Support for negative values for clean_numeric(), clean_percentage() and clean_currency()
  • Fix for clean_character() on R v3.5 and lower
  • Fix for digits in frequency tables for numeric values

clean 1.1.0

  • Added support for currency as a new class: as.currency() and clean_currency(). They also come with 'S3 methods' for print, format, sum, min and max.
  • Added clean_POSIXct() to clean date/time objects
  • top_freq() now correctly selects bottoms items using negative a number for n
  • freq.default() is now exported for use in other packages
  • All numeric calculation in the header of frequency tables now use the same algorithm as used by Minitab and SPSS (see 'Type 6' on stats::quantile())
  • More robust results for clean_character(), it also keeps in-between spaces now
  • clean_numeric() now supports currency
  • Fix for freq() where the precentage of NAs in the header was not calculated right

clean 1.0.0

  • First release