cleaner - v1.5.5

cleaner 1.5.5

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

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Published by msberends over 1 year ago

cleaner - v1.5.4

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

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Published by msberends over 3 years ago

cleaner - v1.5.3

Quick fix for CRAN checks raising an error on macOS running on ARM processors

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Published by msberends about 5 years ago

cleaner - v1.5.2

See https://github.com/msberends/cleaner/blob/9a4f79fa92fcd30c5269f2da0818beeabb10ac63/NEWS.md

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Published by msberends about 5 years ago

cleaner - v1.5.1

• 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)

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Published by msberends over 5 years ago

cleaner - v1.5.0

• New function format_names() to quickly and easily change names of data.frame columns, lists or character vectors. ```r formatnames(df, snakecase = TRUE) formatnames(df, c(old.name = "newname", value = "measurement"))

library(dplyr) starwars %>% formatnames(camelCase = TRUE) %>% # column names mutate(name = name %>% formatnames(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. ```r nareplace(c(1, 2, NA, NA)) #> [1] 1 2 0 0 nareplace(c(1, 2, NA, NA), replacement = -1) #> [1] 1 2 -1 -1

library(dplyr) starwars %>% nareplace(haircolor) # only replace NAs in this column

starwars %>% nareplace() # replace NAs in all columns ("" for haircolor and 0 for birth_year) ``` * Support for the upcoming R 4.1.0

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Published by msberends about 6 years ago

cleaner - v1.4.0

• 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 r 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: ```r # old clean_Date("23-01-67") #> [1] "2067-01-23"

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

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Published by msberends over 6 years ago

cleaner - v1.3.0

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Published by msberends over 6 years ago

cleaner - v1.2.0

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

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Published by msberends over 6 years ago