Package 'stringr'

Description

• str_to_upper() converts to upper case.

• str_to_lower() converts to lower case.

• str_to_title() converts to title case, where only the first letter of each word is capitalized.

• str_to_sentence() convert to sentence case, where only the first letter of sentence is capitalized.

Usage

str_to_upper(string, locale = "en")

str_to_lower(string, locale = "en")

str_to_title(string, locale = "en")

str_to_sentence(string, locale = "en")

Arguments

Value

A character vector the same length as string.

Examples

dog <- "The quick brown dog"
str_to_upper(dog)
str_to_lower(dog)
str_to_title(dog)
str_to_sentence("the quick brown dog")

# Locale matters!
str_to_upper("i") # English
str_to_upper("i", "tr") # Turkish

Description

Invert a matrix of match locations to match the opposite of what was previously matched.

Usage

invert_match(loc)

Arguments

Value

numeric match giving locations of non-matches

Examples

numbers <- "1 and 2 and 4 and 456"
num_loc <- str_locate_all(numbers, "[0-9]+")[[1]]
str_sub(numbers, num_loc[, "start"], num_loc[, "end"])

text_loc <- invert_match(num_loc)
str_sub(numbers, text_loc[, "start"], text_loc[, "end"])

Description

Modifier functions control the meaning of the pattern argument to stringr functions:

• boundary(): Match boundaries between things.

• coll(): Compare strings using standard Unicode collation rules.

• fixed(): Compare literal bytes.

• regex() (the default): Uses ICU regular expressions.

Usage

fixed(pattern, ignore_case = FALSE)

coll(pattern, ignore_case = FALSE, locale = "en", ...)

regex(
  pattern,
  ignore_case = FALSE,
  multiline = FALSE,
  comments = FALSE,
  dotall = FALSE,
  ...
)

boundary(
  type = c("character", "line_break", "sentence", "word"),
  skip_word_none = NA,
  ...
)

Arguments

Value

A stringr modifier object, i.e. a character vector with parent S3 class stringr_pattern.

Examples

pattern <- "a.b"
strings <- c("abb", "a.b")
str_detect(strings, pattern)
str_detect(strings, fixed(pattern))
str_detect(strings, coll(pattern))

# coll() is useful for locale-aware case-insensitive matching
i <- c("I", "\u0130", "i")
i
str_detect(i, fixed("i", TRUE))
str_detect(i, coll("i", TRUE))
str_detect(i, coll("i", TRUE, locale = "tr"))

# Word boundaries
words <- c("These are   some words.")
str_count(words, boundary("word"))
str_split(words, " ")[[1]]
str_split(words, boundary("word"))[[1]]

# Regular expression variations
str_extract_all("The Cat in the Hat", "[a-z]+")
str_extract_all("The Cat in the Hat", regex("[a-z]+", TRUE))

str_extract_all("a\nb\nc", "^.")
str_extract_all("a\nb\nc", regex("^.", multiline = TRUE))

str_extract_all("a\nb\nc", "a.")
str_extract_all("a\nb\nc", regex("a.", dotall = TRUE))

Description

str_c() combines multiple character vectors into a single character vector. It's very similar to paste0() but uses tidyverse recycling and NA rules.

One way to understand how str_c() works is picture a 2d matrix of strings, where each argument forms a column. sep is inserted between each column, and then each row is combined together into a single string. If collapse is set, it's inserted between each row, and then the result is again combined, this time into a single string.

Usage

str_c(..., sep = "", collapse = NULL)

Arguments

Value

If collapse = NULL (the default) a character vector with length equal to the longest input. If collapse is a string, a character vector of length 1.

Examples

str_c("Letter: ", letters)
str_c("Letter", letters, sep = ": ")
str_c(letters, " is for", "...")
str_c(letters[-26], " comes before ", letters[-1])

str_c(letters, collapse = "")
str_c(letters, collapse = ", ")

# Differences from paste() ----------------------
# Missing inputs give missing outputs
str_c(c("a", NA, "b"), "-d")
paste0(c("a", NA, "b"), "-d")
# Use str_replace_NA to display literal NAs:
str_c(str_replace_na(c("a", NA, "b")), "-d")

# Uses tidyverse recycling rules
## Not run: str_c(1:2, 1:3) # errors
paste0(1:2, 1:3)

str_c("x", character())
paste0("x", character())

Description

This is a convenient way to override the current encoding of a string.

Usage

str_conv(string, encoding)

Arguments

Examples

# Example from encoding?stringi::stringi
x <- rawToChar(as.raw(177))
x
str_conv(x, "ISO-8859-2") # Polish "a with ogonek"
str_conv(x, "ISO-8859-1") # Plus-minus

Description

Counts the number of times pattern is found within each element of string.

Usage

str_count(string, pattern = "")

Arguments

Value

An integer vector the same length as string/pattern.

See Also

stringi::stri_count() which this function wraps.

str_locate()/str_locate_all() to locate position of matches

Examples

fruit <- c("apple", "banana", "pear", "pineapple")
str_count(fruit, "a")
str_count(fruit, "p")
str_count(fruit, "e")
str_count(fruit, c("a", "b", "p", "p"))

str_count(c("a.", "...", ".a.a"), ".")
str_count(c("a.", "...", ".a.a"), fixed("."))

Description

str_detect() returns a logical vector with TRUE for each element of string that matches pattern and FALSE otherwise. It's equivalent to grepl(pattern, string).

Usage

str_detect(string, pattern, negate = FALSE)

Arguments

Value

A logical vector the same length as string/pattern.

See Also

stringi::stri_detect() which this function wraps, str_subset() for a convenient wrapper around x[str_detect(x, pattern)]

Examples

fruit <- c("apple", "banana", "pear", "pineapple")
str_detect(fruit, "a")
str_detect(fruit, "^a")
str_detect(fruit, "a$")
str_detect(fruit, "b")
str_detect(fruit, "[aeiou]")

# Also vectorised over pattern
str_detect("aecfg", letters)

# Returns TRUE if the pattern do NOT match
str_detect(fruit, "^p", negate = TRUE)

Description

str_dup() duplicates the characters within a string, e.g. str_dup("xy", 3) returns "xyxyxy".

Usage

str_dup(string, times, sep = NULL)

Arguments

Value

A character vector the same length as string/times.

Examples

fruit <- c("apple", "pear", "banana")
str_dup(fruit, 2)
str_dup(fruit, 2, sep = " ")
str_dup(fruit, 1:3)
str_c("ba", str_dup("na", 0:5))

Description

This uses Unicode canonicalisation rules, and optionally ignores case.

Usage

str_equal(x, y, locale = "en", ignore_case = FALSE, ...)

Arguments

Value

An logical vector the same length as x/y.

See Also

stringi::stri_cmp_equiv() for the underlying implementation.

Examples

# These two strings encode "a" with an accent in two different ways
a1 <- "\u00e1"
a2 <- "a\u0301"
c(a1, a2)

a1 == a2
str_equal(a1, a2)

# ohm and omega use different code points but should always be treated
# as equal
ohm <- "\u2126"
omega <- "\u03A9"
c(ohm, omega)

ohm == omega
str_equal(ohm, omega)

Description

This function escapes metacharacter, the characters that have special meaning to the regular expression engine. In most cases you are better off using fixed() since it is faster, but str_escape() is useful if you are composing user provided strings into a pattern.

Usage

str_escape(string)

Arguments

Value

A character vector the same length as string.

Examples

str_detect(c("a", "."), ".")
str_detect(c("a", "."), str_escape("."))

Description

str_extract() extracts the first complete match from each string, str_extract_all()extracts all matches from each string.

Usage

str_extract(string, pattern, group = NULL)

str_extract_all(string, pattern, simplify = FALSE)

Arguments

Value

• str_extract(): an character vector the same length as string/pattern.

• str_extract_all(): a list of character vectors the same length as string/pattern.

See Also

str_match() to extract matched groups; stringi::stri_extract() for the underlying implementation.

Examples

shopping_list <- c("apples x4", "bag of flour", "bag of sugar", "milk x2")
str_extract(shopping_list, "\\d")
str_extract(shopping_list, "[a-z]+")
str_extract(shopping_list, "[a-z]{1,4}")
str_extract(shopping_list, "\\b[a-z]{1,4}\\b")

str_extract(shopping_list, "([a-z]+) of ([a-z]+)")
str_extract(shopping_list, "([a-z]+) of ([a-z]+)", group = 1)
str_extract(shopping_list, "([a-z]+) of ([a-z]+)", group = 2)

# Extract all matches
str_extract_all(shopping_list, "[a-z]+")
str_extract_all(shopping_list, "\\b[a-z]+\\b")
str_extract_all(shopping_list, "\\d")

# Simplify results into character matrix
str_extract_all(shopping_list, "\\b[a-z]+\\b", simplify = TRUE)
str_extract_all(shopping_list, "\\d", simplify = TRUE)

# Extract all words
str_extract_all("This is, suprisingly, a sentence.", boundary("word"))

Description

str_flatten() reduces a character vector to a single string. This is a summary function because regardless of the length of the input x, it always returns a single string.

str_flatten_comma() is a variation designed specifically for flattening with commas. It automatically recognises if last uses the Oxford comma and handles the special case of 2 elements.

Usage

str_flatten(string, collapse = "", last = NULL, na.rm = FALSE)

str_flatten_comma(string, last = NULL, na.rm = FALSE)

Arguments

Value

A string, i.e. a character vector of length 1.

Examples

str_flatten(letters)
str_flatten(letters, "-")

str_flatten(letters[1:3], ", ")

# Use last to customise the last component
str_flatten(letters[1:3], ", ", " and ")

# this almost works if you want an Oxford (aka serial) comma
str_flatten(letters[1:3], ", ", ", and ")

# but it will always add a comma, even when not necessary
str_flatten(letters[1:2], ", ", ", and ")

# str_flatten_comma knows how to handle the Oxford comma
str_flatten_comma(letters[1:3], ", and ")
str_flatten_comma(letters[1:2], ", and ")

Description

These functions are wrappers around glue::glue() and glue::glue_data(), which provide a powerful and elegant syntax for interpolating strings with {}.

These wrappers provide a small set of the full options. Use glue() and glue_data() directly from glue for more control.

Usage

str_glue(..., .sep = "", .envir = parent.frame(), .trim = TRUE)

str_glue_data(.x, ..., .sep = "", .envir = parent.frame(), .na = "NA")

Arguments

For `glue_data()`, elements in `...` override the values in `.x`.

Value

A character vector with same length as the longest input.

Examples

name <- "Fred"
age <- 50
anniversary <- as.Date("1991-10-12")
str_glue(
  "My name is {name}, ",
  "my age next year is {age + 1}, ",
  "and my anniversary is {format(anniversary, '%A, %B %d, %Y')}."
)

# single braces can be inserted by doubling them
str_glue("My name is {name}, not {{name}}.")

# You can also used named arguments
str_glue(
  "My name is {name}, ",
  "and my age next year is {age + 1}.",
  name = "Joe",
  age = 40
)

# `str_glue_data()` is useful in data pipelines
mtcars %>% str_glue_data("{rownames(.)} has {hp} hp")

Description

str_length() returns the number of codepoints in a string. These are the individual elements (which are often, but not always letters) that can be extracted with str_sub().

str_width() returns how much space the string will occupy when printed in a fixed width font (i.e. when printed in the console).

Usage

str_length(string)

str_width(string)

Arguments

Value

A numeric vector the same length as string.

See Also

stringi::stri_length() which this function wraps.

Examples

str_length(letters)
str_length(NA)
str_length(factor("abc"))
str_length(c("i", "like", "programming", NA))

# Some characters, like emoji and Chinese characters (hanzi), are square
# which means they take up the width of two Latin characters
x <- c("\u6c49\u5b57", "\U0001f60a")
str_view(x)
str_width(x)
str_length(x)

# There are two ways of representing a u with an umlaut
u <- c("\u00fc", "u\u0308")
# They have the same width
str_width(u)
# But a different length
str_length(u)
# Because the second element is made up of a u + an accent
str_sub(u, 1, 1)

Description

str_like() and str_like() follow the conventions of the SQL LIKE and ILIKE operators, namely:

• Must match the entire string.

• ⁠_⁠ matches a single character (like .).

• ⁠%⁠ matches any number of characters (like ⁠.*⁠).

• ⁠\%⁠ and ⁠\_⁠ match literal ⁠%⁠ and ⁠_⁠.

The difference between the two functions is their case-sensitivity: str_like() is case sensitive and str_ilike() is not.

Usage

str_like(string, pattern, ignore_case = deprecated())

str_ilike(string, pattern)

Arguments

Value

A logical vector the same length as string.

Note

Prior to stringr 1.6.0, str_like() was incorrectly case-insensitive.

Examples

fruit <- c("apple", "banana", "pear", "pineapple")
str_like(fruit, "app")
str_like(fruit, "app%")
str_like(fruit, "APP%")
str_like(fruit, "ba_ana")
str_like(fruit, "%apple")

str_ilike(fruit, "app")
str_ilike(fruit, "app%")
str_ilike(fruit, "APP%")
str_ilike(fruit, "ba_ana")
str_ilike(fruit, "%apple")

Description

str_locate() returns the start and end position of the first match; str_locate_all() returns the start and end position of each match.

Because the start and end values are inclusive, zero-length matches (e.g. $, ^, ⁠\\b⁠) will have an end that is smaller than start.

Usage

str_locate(string, pattern)

str_locate_all(string, pattern)

Arguments

Value

• str_locate() returns an integer matrix with two columns and one row for each element of string. The first column, start, gives the position at the start of the match, and the second column, end, gives the position of the end.

• str_locate_all() returns a list of integer matrices with the same length as string/pattern. The matrices have columns start and end as above, and one row for each match.

See Also

str_extract() for a convenient way of extracting matches, stringi::stri_locate() for the underlying implementation.

Examples

fruit <- c("apple", "banana", "pear", "pineapple")
str_locate(fruit, "$")
str_locate(fruit, "a")
str_locate(fruit, "e")
str_locate(fruit, c("a", "b", "p", "p"))

str_locate_all(fruit, "a")
str_locate_all(fruit, "e")
str_locate_all(fruit, c("a", "b", "p", "p"))

# Find location of every character
str_locate_all(fruit, "")

Description

Extract any number of matches defined by unnamed, (pattern), and named, ⁠(?<name>pattern)⁠ capture groups.

Use a non-capturing group, ⁠(?:pattern)⁠, if you need to override default operate precedence but don't want to capture the result.

Usage

str_match(string, pattern)

str_match_all(string, pattern)

Arguments

Value

• str_match(): a character matrix with the same number of rows as the length of string/pattern. The first column is the complete match, followed by one column for each capture group. The columns will be named if you used "named captured groups", i.e. ⁠(?<name>pattern')⁠.

• str_match_all(): a list of the same length as string/pattern containing character matrices. Each matrix has columns as descrbed above and one row for each match.

See Also

str_extract() to extract the complete match, stringi::stri_match() for the underlying implementation.

Examples

strings <- c(" 219 733 8965", "329-293-8753 ", "banana", "595 794 7569",
  "387 287 6718", "apple", "233.398.9187  ", "482 952 3315",
  "239 923 8115 and 842 566 4692", "Work: 579-499-7527", "$1000",
  "Home: 543.355.3679")
phone <- "([2-9][0-9]{2})[- .]([0-9]{3})[- .]([0-9]{4})"

str_extract(strings, phone)
str_match(strings, phone)

# Extract/match all
str_extract_all(strings, phone)
str_match_all(strings, phone)

# You can also name the groups to make further manipulation easier
phone <- "(?<area>[2-9][0-9]{2})[- .](?<phone>[0-9]{3}[- .][0-9]{4})"
str_match(strings, phone)

x <- c("<a> <b>", "<a> <>", "<a>", "", NA)
str_match(x, "<(.*?)> <(.*?)>")
str_match_all(x, "<(.*?)>")

str_extract(x, "<.*?>")
str_extract_all(x, "<.*?>")

Description

• str_sort() returns the sorted vector.

• str_order() returns an integer vector that returns the desired order when used for subsetting, i.e. x[str_order(x)] is the same as str_sort()

• str_rank() returns the ranks of the values, i.e. arrange(df, str_rank(x)) is the same as str_sort(df$x).

Usage

str_order(
  x,
  decreasing = FALSE,
  na_last = TRUE,
  locale = "en",
  numeric = FALSE,
  ...
)

str_rank(x, locale = "en", numeric = FALSE, ...)

str_sort(
  x,
  decreasing = FALSE,
  na_last = TRUE,
  locale = "en",
  numeric = FALSE,
  ...
)

Arguments

Value

A character vector the same length as string.

See Also

stringi::stri_order() for the underlying implementation.

Examples

x <- c("apple", "car", "happy", "char")
str_sort(x)

str_order(x)
x[str_order(x)]

str_rank(x)

# In Czech, ch is a digraph that sorts after h
str_sort(x, locale = "cs")

# Use numeric = TRUE to sort numbers in strings
x <- c("100a10", "100a5", "2b", "2a")
str_sort(x)
str_sort(x, numeric = TRUE)

Description

Pad a string to a fixed width, so that str_length(str_pad(x, n)) is always greater than or equal to n.

Usage

str_pad(
  string,
  width,
  side = c("left", "right", "both"),
  pad = " ",
  use_width = TRUE
)

Arguments

Value

A character vector the same length as stringr/width/pad.

See Also

str_trim() to remove whitespace; str_trunc() to decrease the maximum width of a string.

Examples

rbind(
  str_pad("hadley", 30, "left"),
  str_pad("hadley", 30, "right"),
  str_pad("hadley", 30, "both")
)

# All arguments are vectorised except side
str_pad(c("a", "abc", "abcdef"), 10)
str_pad("a", c(5, 10, 20))
str_pad("a", 10, pad = c("-", "_", " "))

# Longer strings are returned unchanged
str_pad("hadley", 3)

Description

Remove matches, i.e. replace them with "".

Usage

str_remove(string, pattern)

str_remove_all(string, pattern)

Arguments

Value

A character vector the same length as string/pattern.

See Also

str_replace() for the underlying implementation.

Examples

fruits <- c("one apple", "two pears", "three bananas")
str_remove(fruits, "[aeiou]")
str_remove_all(fruits, "[aeiou]")

Description

str_replace() replaces the first match; str_replace_all() replaces all matches.

Usage

str_replace(string, pattern, replacement)

str_replace_all(string, pattern, replacement)

Arguments

Value

A character vector the same length as string/pattern/replacement.

See Also

str_replace_na() to turn missing values into "NA"; stri_replace() for the underlying implementation.

Examples

fruits <- c("one apple", "two pears", "three bananas")
str_replace(fruits, "[aeiou]", "-")
str_replace_all(fruits, "[aeiou]", "-")
str_replace_all(fruits, "[aeiou]", toupper)
str_replace_all(fruits, "b", NA_character_)

str_replace(fruits, "([aeiou])", "")
str_replace(fruits, "([aeiou])", "\\1\\1")

# Note that str_replace() is vectorised along text, pattern, and replacement
str_replace(fruits, "[aeiou]", c("1", "2", "3"))
str_replace(fruits, c("a", "e", "i"), "-")

# If you want to apply multiple patterns and replacements to the same
# string, pass a named vector to pattern.
fruits %>%
  str_c(collapse = "---") %>%
  str_replace_all(c("one" = "1", "two" = "2", "three" = "3"))

# Use a function for more sophisticated replacement. This example
# replaces colour names with their hex values.
colours <- str_c("\\b", colors(), "\\b", collapse="|")
col2hex <- function(col) {
  rgb <- col2rgb(col)
  rgb(rgb["red", ], rgb["green", ], rgb["blue", ], maxColorValue = 255)
}

x <- c(
  "Roses are red, violets are blue",
  "My favourite colour is green"
)
str_replace_all(x, colours, col2hex)

Description

Turn NA into "NA"

Usage

str_replace_na(string, replacement = "NA")

Arguments

Examples

str_replace_na(c(NA, "abc", "def"))

Description

This family of functions provides various ways of splitting a string up into pieces. These two functions return a character vector:

• str_split_1() takes a single string and splits it into pieces, returning a single character vector.

• str_split_i() splits each string in a character vector into pieces and extracts the ith value, returning a character vector.

These two functions return a more complex object:

• str_split() splits each string in a character vector into a varying number of pieces, returning a list of character vectors.

• str_split_fixed() splits each string in a character vector into a fixed number of pieces, returning a character matrix.

Usage

str_split(string, pattern, n = Inf, simplify = FALSE)

str_split_1(string, pattern)

str_split_fixed(string, pattern, n)

str_split_i(string, pattern, i)

Arguments

Value

• str_split_1(): a character vector.

• str_split(): a list the same length as string/pattern containing character vectors.

• str_split_fixed(): a character matrix with n columns and the same number of rows as the length of string/pattern.

• str_split_i(): a character vector the same length as string/pattern.

See Also

stri_split() for the underlying implementation.

Examples

fruits <- c(
  "apples and oranges and pears and bananas",
  "pineapples and mangos and guavas"
)

str_split(fruits, " and ")
str_split(fruits, " and ", simplify = TRUE)

# If you want to split a single string, use `str_split_1`
str_split_1(fruits[[1]], " and ")

# Specify n to restrict the number of possible matches
str_split(fruits, " and ", n = 3)
str_split(fruits, " and ", n = 2)
# If n greater than number of pieces, no padding occurs
str_split(fruits, " and ", n = 5)

# Use fixed to return a character matrix
str_split_fixed(fruits, " and ", 3)
str_split_fixed(fruits, " and ", 4)

# str_split_i extracts only a single piece from a string
str_split_i(fruits, " and ", 1)
str_split_i(fruits, " and ", 4)
# use a negative number to select from the end
str_split_i(fruits, " and ", -1)

Description

str_starts() and str_ends() are special cases of str_detect() that only match at the beginning or end of a string, respectively.

Usage

str_starts(string, pattern, negate = FALSE)

str_ends(string, pattern, negate = FALSE)

Arguments

Value

A logical vector.

Examples

fruit <- c("apple", "banana", "pear", "pineapple")
str_starts(fruit, "p")
str_starts(fruit, "p", negate = TRUE)
str_ends(fruit, "e")
str_ends(fruit, "e", negate = TRUE)

Description

str_sub() extracts or replaces the elements at a single position in each string. str_sub_all() allows you to extract strings at multiple elements in every string.

Usage

str_sub(string, start = 1L, end = -1L)

str_sub(string, start = 1L, end = -1L, omit_na = FALSE) <- value

str_sub_all(string, start = 1L, end = -1L)

Arguments

Value

• str_sub(): A character vector the same length as string/start/end.

• str_sub_all(): A list the same length as string. Each element is a character vector the same length as start/end.

If end comes before start or start is outside the range of string then the corresponding output will be the empty string.

See Also

The underlying implementation in stringi::stri_sub()

Examples

hw <- "Hadley Wickham"

str_sub(hw, 1, 6)
str_sub(hw, end = 6)
str_sub(hw, 8, 14)
str_sub(hw, 8)

# Negative values index from end of string
str_sub(hw, -1)
str_sub(hw, -7)
str_sub(hw, end = -7)

# str_sub() is vectorised by both string and position
str_sub(hw, c(1, 8), c(6, 14))

# if you want to extract multiple positions from multiple strings,
# use str_sub_all()
x <- c("abcde", "ghifgh")
str_sub(x, c(1, 2), c(2, 4))
str_sub_all(x, start = c(1, 2), end = c(2, 4))

# Alternatively, you can pass in a two column matrix, as in the
# output from str_locate_all
pos <- str_locate_all(hw, "[aeio]")[[1]]
pos
str_sub(hw, pos)

# You can also use `str_sub()` to modify strings:
x <- "BBCDEF"
str_sub(x, 1, 1) <- "A"; x
str_sub(x, -1, -1) <- "K"; x
str_sub(x, -2, -2) <- "GHIJ"; x
str_sub(x, 2, -2) <- ""; x

Description

str_subset() returns all elements of string where there's at least one match to pattern. It's a wrapper around x[str_detect(x, pattern)], and is equivalent to grep(pattern, x, value = TRUE).

Use str_extract() to find the location of the match within each string.

Usage

str_subset(string, pattern, negate = FALSE)

Arguments

Value

A character vector, usually smaller than string.

See Also

grep() with argument value = TRUE, stringi::stri_subset() for the underlying implementation.

Examples

fruit <- c("apple", "banana", "pear", "pineapple")
str_subset(fruit, "a")

str_subset(fruit, "^a")
str_subset(fruit, "a$")
str_subset(fruit, "b")
str_subset(fruit, "[aeiou]")

# Elements that don't match
str_subset(fruit, "^p", negate = TRUE)

# Missings never match
str_subset(c("a", NA, "b"), ".")

Description

str_trim() removes whitespace from start and end of string; str_squish() removes whitespace at the start and end, and replaces all internal whitespace with a single space.

Usage

str_trim(string, side = c("both", "left", "right"))

str_squish(string)

Arguments

Value

A character vector the same length as string.

See Also

str_pad() to add whitespace

Examples

str_trim("  String with trailing and leading white space\t")
str_trim("\n\nString with trailing and leading white space\n\n")

str_squish("  String with trailing,  middle, and leading white space\t")
str_squish("\n\nString with excess,  trailing and leading white   space\n\n")

Description

Truncate a string to a fixed of characters, so that str_length(str_trunc(x, n)) is always less than or equal to n.

Usage

str_trunc(string, width, side = c("right", "left", "center"), ellipsis = "...")

Arguments

Value

A character vector the same length as string.

See Also

str_pad() to increase the minimum width of a string.

Examples

x <- "This string is moderately long"
rbind(
  str_trunc(x, 20, "right"),
  str_trunc(x, 20, "left"),
  str_trunc(x, 20, "center")
)

Description

str_unique() removes duplicated values, with optional control over how duplication is measured.

Usage

str_unique(string, locale = "en", ignore_case = FALSE, ...)

Arguments

Value

A character vector, usually shorter than string.

See Also

unique(), stringi::stri_unique() which this function wraps.

Examples

str_unique(c("a", "b", "c", "b", "a"))

str_unique(c("a", "b", "c", "B", "A"))
str_unique(c("a", "b", "c", "B", "A"), ignore_case = TRUE)

# Use ... to pass additional arguments to stri_unique()
str_unique(c("motley", "mötley", "pinguino", "pingüino"))
str_unique(c("motley", "mötley", "pinguino", "pingüino"), strength = 1)

Description

str_view() is used to print the underlying representation of a string and to see how a pattern matches.

Matches are surrounded by ⁠<>⁠ and unusual whitespace (i.e. all whitespace apart from " " and "\n") are surrounded by {} and escaped. Where possible, matches and unusual whitespace are coloured blue and NAs red.

Usage

str_view(
  string,
  pattern = NULL,
  match = TRUE,
  html = FALSE,
  use_escapes = FALSE
)

Arguments

Examples

# Show special characters
str_view(c("\"\\", "\\\\\\", "fgh", NA, "NA"))

# A non-breaking space looks like a regular space:
nbsp <- "Hi\u00A0you"
nbsp
# But it doesn't behave like one:
str_detect(nbsp, " ")
# So str_view() brings it to your attention with a blue background
str_view(nbsp)

# You can also use escapes to see all non-ASCII characters
str_view(nbsp, use_escapes = TRUE)

# Supply a pattern to see where it matches
str_view(c("abc", "def", "fghi"), "[aeiou]")
str_view(c("abc", "def", "fghi"), "^")
str_view(c("abc", "def", "fghi"), "..")

# By default, only matching strings will be shown
str_view(c("abc", "def", "fghi"), "e")
# but you can show all:
str_view(c("abc", "def", "fghi"), "e", match = NA)
# or just those that don't match:
str_view(c("abc", "def", "fghi"), "e", match = FALSE)

Description

str_which() returns the indices of string where there's at least one match to pattern. It's a wrapper around which(str_detect(x, pattern)), and is equivalent to grep(pattern, x).

Usage

str_which(string, pattern, negate = FALSE)

Arguments

Value

An integer vector, usually smaller than string.

Examples

fruit <- c("apple", "banana", "pear", "pineapple")
str_which(fruit, "a")

# Elements that don't match
str_which(fruit, "^p", negate = TRUE)

# Missings never match
str_which(c("a", NA, "b"), ".")

Description

Wrap words into paragraphs, minimizing the "raggedness" of the lines (i.e. the variation in length line) using the Knuth-Plass algorithm.

Usage

str_wrap(string, width = 80, indent = 0, exdent = 0, whitespace_only = TRUE)

Arguments

Value

A character vector the same length as string.

See Also

stringi::stri_wrap() for the underlying implementation.

Examples

thanks_path <- file.path(R.home("doc"), "THANKS")
thanks <- str_c(readLines(thanks_path), collapse = "\n")
thanks <- word(thanks, 1, 3, fixed("\n\n"))
cat(str_wrap(thanks), "\n")
cat(str_wrap(thanks, width = 40), "\n")
cat(str_wrap(thanks, width = 60, indent = 2), "\n")
cat(str_wrap(thanks, width = 60, exdent = 2), "\n")
cat(str_wrap(thanks, width = 0, exdent = 2), "\n")

Description

fruit and words come from the rcorpora package written by Gabor Csardi; the data was collected by Darius Kazemi and made available at https://github.com/dariusk/corpora. sentences is a collection of "Harvard sentences" used for standardised testing of voice.

Usage

sentences

fruit

words

Format

Character vectors.

Examples

length(sentences)
sentences[1:5]

length(fruit)
fruit[1:5]

length(words)
words[1:5]

Description

Extract words from a sentence

Usage

word(string, start = 1L, end = start, sep = fixed(" "))

Arguments

Value

A character vector with the same length as string/start/end.

Examples

sentences <- c("Jane saw a cat", "Jane sat down")
word(sentences, 1)
word(sentences, 2)
word(sentences, -1)
word(sentences, 2, -1)

# Also vectorised over start and end
word(sentences[1], 1:3, -1)
word(sentences[1], 1, 1:4)

# Can define words by other separators
str <- 'abc.def..123.4568.999'
word(str, 1, sep = fixed('..'))
word(str, 2, sep = fixed('..'))