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Abbreviate or dis-abbreviate numerical values

Source: R/wrangling.R
num_abbr.Rd

This function converts a numeric vector's values into their abbreviated character equivalent, i.e. 100E6 into 100M and viceversa.

Usage

num_abbr(x, n = 3, numeric = FALSE, ...)

Arguments

x

Numeric vector

n

Integer. Single numeric value, specifying number of significant figures to show. Range 1 to 6.

numeric

Boolean. Transform abbreviated number into numeric?

...

Additional parameters.

Value

Vector of character or numeric values that contain converted values

See also

Other Data Wrangling: balance_data(), categ_reducer(), cleanText(), date_cuts(), date_feats(), file_name(), formatHTML(), holidays(), impute(), left(), normalize(), ohe_commas(), ohse(), quants(), removenacols(), replaceall(), replacefactor(), textFeats(), textTokenizer(), vector2text(), year_month(), zerovar()

Examples

num_abbr(rnorm(10) * 1e6)
#>  [1] "1.72M"  "461K"   "-1.27M" "-687K"  "-446K"  "1.22M"  "360K"   "401K"  
#>  [9] "111K"   "-556K" 
num_abbr(rnorm(10) * 1e6, n = 1)
#>  [1] "2M"    "500K"  "-2M"   "700K"  "-500K" "-1M"   "-200K" "-1M"   "-700K"
#> [10] "-600K"
num_abbr(c("3K", "-58.3M", NA, 1), numeric = TRUE)
#> [1]      3000 -58300000        NA         1