roperators (version 1.3.14)

get_1st: Little functions to replace common minor functions. useful in apply sttements

Description

Little functions to replace common minor functions. useful in apply sttements

Get most common thing(s)

Return number of unique things in x

Return vector of n points evenly spaced around the origin point

Usage

get_1st(x, type = "v")
get_last(x, type = "v")
get_nth(x, n = 1, type = "v")
get_1st_word(x, type = "v", split = " ")
get_last_word(x, type = "v", split = " ")
get_nth_word(x, n = 1, type = "v", split = " ")
get_most_frequent(x, collapse = NULL)
get_most_frequent_word(
  x,
  ignore.punct = TRUE,
  ignore.case = TRUE,
  split = " ",
  collapse = NULL,
  punct.regex = "[[:punct:]]",
  punct.replace = ""
)
n_unique(x, na.rm = FALSE)
seq_around(origin = 1, n = 1, spacing = 0.25)

Value

a vector of most common element(s). Will be character unless x is numeric and you don't tell it to collapse into a single string!

a vector of most common element(s). Will be character unless x is numeric and you don't tell it to collapse into a single string!

Numeric vector. Will default to 1 if arguments are left blank to conform with default seq() behaviour.

Arguments

x

vector

type

'v' (default) for vector x[1]; 'l' for list x[[1]]

n

number of points to create

split

character that separated words. Default = ' '

collapse

OPTIONAL character - paste output into single string with collapse

ignore.punct

logical - ignore punctuation marks

ignore.case

logical - ignore case (if true, will return in lower)

punct.regex

character - regex used to remove punctuation (by default [[:punct:]])

punct.replace

character - what to replace punctuation with (default is "")

na.rm

whether to ignore NAs when determining uniqueness

origin

number to center sequence around

spacing

distance between any two points in the sequence

Author

Ben Wiseman,

Examples

# listr of car names
car_names <- strsplit(row.names(mtcars)[1:5], " ")

sapply(car_names, get_1st)
# [1] "Mazda"  "Mazda"  "Datsun" "Hornet" "Hornet"

sapply(car_names, get_nth, 2)
# [1] "RX4"        "RX4"        "710"        "4"          "Sportabout"

# OR if you just want to pull a simple string apart (e.g. someone's full name):

get_1st_word(rownames(mtcars)[1:5])
#[1] "Mazda"    "Mazda"    "Datsun"   "Hornet"   "Hornet"

get_last_word(rownames(mtcars)[1:5])
#[1] "RX4"         "Wag"         "710"         "Drive"       "Sportabout"

get_nth_word(rownames(mtcars)[1:5], 2)
#[1] "RX4"        "RX4"        "710"        "4"          "Sportabout"


my_stuff <- c(1:10, 10, 5)
# These are straight forward
get_1st(my_stuff)
get_nth(my_stuff, 3)
get_last(my_stuff)
get_most_frequent(my_stuff)
my_chars <- c("a", "b", "b", "a", "g", "o", "l", "d")
get_most_frequent(my_chars)
get_most_frequent(my_chars, collapse = " & ")
generic_string <- "Who's A good boy? Winston's a good boy!"

get_1st_word(generic_string)
get_nth_word(generic_string, 3)
get_last_word(generic_string)
# default ignores case and punctuation
get_most_frequent_word(generic_string)
# can change like so:
get_most_frequent_word(generic_string, ignore.case = FALSE, ignore.punct = FALSE)