Package {fuj}

Type:	Package
Title:	Functions and Utilities for Jordan
Version:	0.3.0
Maintainer:	Jordan Mark Barbone <jmbarbone@gmail.com>
Description:	Provides core functions and utilities for packages and other code developed by Jordan Mark Barbone.
License:	MIT + file LICENSE
Encoding:	UTF-8
Language:	en-US
Depends:	R (≥ 4.1)
Suggests:	spelling, testthat (≥ 3.0.0)
URL:	https://jmbarbone.github.io/fuj/, https://github.com/jmbarbone/fuj
BugReports:	https://github.com/jmbarbone/fuj/issues
Config/testthat/edition:	3
Config/roxygen2/version:	8.1.0
NeedsCompilation:	no
Packaged:	2026-10-07 21:10:40 UTC; jordan
Author:	Jordan Mark Barbone [aut, cph, cre]
Repository:	CRAN
Date/Publication:	2026-10-08 07:50:09 UTC

fuj: Functions and Utilities for Jordan

Description

Provides core functions and utilities for packages and other code developed by Jordan Mark Barbone.

Author(s)

Maintainer: Jordan Mark Barbone jmbarbone@gmail.com (ORCID) [copyright holder]

Authors:

• Jordan Mark Barbone jmbarbone@gmail.com (ORCID) [copyright holder]

See Also

Useful links:

• https://jmbarbone.github.io/fuj/

• https://github.com/jmbarbone/fuj

• Report bugs at https://github.com/jmbarbone/fuj/issues

Arithmetic wrappers

Description

Arithmetic wrappers

Value

See base::Arithmetic

Examples

        add(7, 2) # +
   subtract(7, 2) # -
   multiply(7, 2) # *
     divide(7, 2) # /
raise_power(7, 2) # ^
  remainder(7, 2) # %%
 divide_int(7, 2) # %/%

Extract and replace aliases

Description

Extract and replace aliases

Value

See base::Extract

Examples

df <- quick_df(list(a = 1:5, b = 6:10))
# alias of `[`
subset1(df, 1)
subset1(df, 1, )
subset1(df, , 1)
subset1(df, , 1, drop = FALSE)

# alias of `[[`
subset2(df, 1)
subset2(df, 1, 2)

# alias of `$`
subset3(df, a)
subset3(df, "b")
subset3(df, "foo")

# alias of `[<-`
subassign1(df, "a", , 2)

Collapse

Description

Simple wrapper for concatenating strings

Usage

collapse(..., sep = "")

Arguments

Value

A character vector of concatenated values. See base::paste() for more details.

Examples

collapse(1:10)
collapse(list("a", b = 1:2))
collapse(quick_df(list(a = 1:3, b = 4:6)), sep = "-")

Colons

Description

Get an object from a namespace

Usage

package %::% name

package %:::% name

package %colons% name

Arguments

Details

The functions mimic the use of :: and ::: for extracting values from namespaces. ⁠%colons%⁠ is an alias for ⁠%::%⁠.

Value

The variable name from package package

WARNING

To reiterate from other documentation: it is not advised to use ::: in your code as it will retrieve non-exported objects that may be more likely to change in their functionality that exported objects.

See Also

help("::")

Examples

identical("base" %::% "mean", base::mean)
"fuj" %:::% "colons_example" # unexported value

Default Conditions

Description

Default Conditions

Usage

message_condition(..., class = NULL)

msg(..., class = NULL)

verbose_message(message, call = NULL)

error_condition(..., class = NULL)

err(..., class = NULL)

input_error(message = "invalid input", ...)

value_error(message = "invalid value", ...)

class_error(message = "invalid class", ...)

type_error(message = "invalid type", ...)

interactive_error(message = "must be used in an interactive session", ...)

namespace_error(package)

development_error(..., package = find_package())

defunct_error(..., package = find_package())

internal_error(
  message = c(sprintf("An internal error occurred in '%s'.", package),
    "  Please report this to the package maintainer."),
  ...,
  package = find_package()
)

warning_condition(..., class = NULL)

wrn(..., class = NULL)

input_warning(message = "invalid input", ...)

value_warning(message = "invalid value", ...)

class_warning(message = "invalid class", ...)

interactive_warning(message = "must be used in an interactive session", ...)

namespace_warning(package)

development_warning(..., package = find_package())

internal_warning(
  message = c(sprintf("An internal error occurred in '%s'.", package),
    "  Please report this to the package maintainer."),
  ...,
  package = find_package()
)

deprecated_warning(..., package = find_package())

Arguments

Delay the evaluation of an expression until the end of a function or block.

Description

Delay the evaluation of an expression until the end of a function or block.

Usage

delay(expr, envir = parent.frame(), add = TRUE, after = FALSE)

Arguments

Value

None, called for its side-effects

Examples

local({
  x <- 1L
  delay(message("x = ", x))
  x <- 2L
})

Encode/factor

Description

Low-level encoding and factor building

Usage

encode(x, from, to, strict = FALSE, exclude = NULL)

fact(x, levels = NULL, exclude = NULL)

Arguments

Details

encode() is a general purpose function for replacing values in a vector.

fact() is a low-level function for building factor vectors. It does not perform any sort()ing of levels (unlink base::factor()). Re-leveling can be done by applying encode() to the levels of a factor object.

Value

encode() A vector of the same length as x with values replaced according to from and to.

fact() A factor vector with levels corresponding to the unique values in x (or levels if provided).

Examples

fact(strsplit("factor function", "")[[1L]], exclude = " ")

# encode() can be used to for the same utility as factor(x, levels, labels)
# (note: applying to levels can be more efficient)
(x <- fact(strsplit("jordan", "")[[1L]]))
levels(x) <- encode(levels(x), from = c("a", "o"), to = "*")
x

Exact attributes

Description

Get the exact attributes of an object

Usage

exattr(x, which)

x %attr% which

Arguments

Value

See base::attr()

Examples

foo <- struct(list(), "foo", aa = TRUE)
  attr(foo, "a")  # TRUE : partial match successful
exattr(foo, "a")  # NULL : partial match failed
exattr(foo, "aa") # TRUE : exact match

Flip

Description

Flip an object.

Usage

flip(x, ...)

## Default S3 method:
flip(x, ...)

## S3 method for class 'matrix'
flip(x, by = c("rows", "columns"), keep_rownames = NULL, ...)

## S3 method for class 'data.frame'
flip(x, by = c("rows", "columns"), keep_rownames = NULL, ...)

Arguments

Value

A vector of values, equal length of x that is reversed or a ⁠data frame⁠ with flipped rows/columns

Examples

flip(letters[1:3])
flip(seq.int(9, -9, by = -3))
flip(head(iris))
flip(head(iris), keep_rownames = TRUE)
flip(head(iris), by = "col")

File path operations

Description

is_path() checks for either a file_path class or an fs_path, the latter useful for the fs package.

file_path() is an alias for fp() and is_file_path() is an alias for is_path().

set_file_ext() changes the file extension of a file path, removing any existing extension first. file_ext<-() serves as an alias.

np() will normalize the file path, always using "/" as the path separator, and without signaling errors or warnings for non-existent paths.

Paths can be constructed with / and + methods:

fp("here") / "subdir" + "ext"

This will create a file path for here/subdir.ext, with the extension added after. Note: fp() can be replaced with np().

Usage

fp(...)

np(...)

file_path(...)

norm_path(...)

is_path(x)

is_file_path(x)

set_file_ext(x, value, compression = TRUE)

file_ext(x, compression = TRUE) <- value

Arguments

Details

Lightweight file path functions

Value

• fp()/file_path(): A character vector with a "file_path" class

• np()/norm_path(): A character vector with a "file_path" class, with normalized paths

• is_path()/is_file_path(): A TRUE or FALSE value

• set_file_ext()/file_ext<-(): The file path with the updated extension

Examples

fp("here")
fp("~/there")
fp("back\\slash")
fp("remove//extra\\\\slashes")
fp("a", c("b", "c"), "d")

# supports / and +
(x <- fp("here") / "subdir" + "ext")

# change file extension
file_ext(x) <- "txt"
x
file_ext(x) <- ".txt.gz"
x
file_ext(x) <- NULL
x

Hold or Toss

Description

Hold or Toss

Usage

hold(x, i, na = c("drop", "keep"))

toss(x, i, na = c("keep", "drop"))

Arguments

Value

• hold() retains values in x matched against i

• toss() removes values in x matched against i

Examples

x <- c(1, NA, 3, 4, Inf, 6)
twos <- function(x) x %% 2 == 0
hold(x, twos) # 4, 6
toss(x, twos) # 1, 3, NA, Inf

hold(x, twos, na = "keep") # NA, 4, Inf, 6
toss(x, twos, na = "drop") # 1, 3

i <- c(1:3, NA)
x <- letters[1:5]
hold(x, i)
toss(x, i)

Default value for NULL or no length

Description

Replace if NULL or not length

Usage

x %||% y

x %|||% y

x %len% y

Arguments

Details

A mostly copy of rlang's ⁠%||%⁠ except does not use rlang::is_null(), which, currently, calls the same primitive base::is.null() function.

Note: ⁠%||%⁠ is copied from {base} if available (R versions >= 4.4)

Value

x if it is not NULL or has length, depending on check

Examples

# replace NULL (for R < 4.4)
NULL %||% 1L
2L   %||% 1L

# replace empty
""       %|||% 1L
NA       %|||% 1L
double() %|||% 1L
NULL     %|||% 1L

# replace no length
logical() %len% TRUE
FALSE     %len% TRUE

Include exports in Search Path

Description

include() checks whether or not the namespace has been loaded to the base::search() path. It uses the naming convention include:{package} to denote the differences from loading via base::library() or base::require(). When exports is NULL, the environment is detached from the search path if found. When exports is not NULL,

Note: This function has the specific purpose of affecting the search path. Use options(fuj.verbose = TRUE) or options(verbose = TRUE) for more information.

Usage

include(package, exports = NULL, lib = .libPaths(), pos = 2L, warn = NULL)

Arguments

Details

Include (attach) a package and specific exports to Search Path

Value

The attached environment, invisibly.

package class handling

When package is a base::name or base::AsIs, assumed an installed package. When package is a file path (via is_path()) then package is assumed a file path. When just a string, a viable path is checked first; if it doesn't exist, then it is assumed a package.

When the package is base::source()'d the name of the environment defaults to the base name of x (file extension removed). However, if the object .AttachName is found in the sourced file, then that is used as the environment name for the base::search() path.

Note: include() won't try to attach an environment a second time, however, when package is a path, it must be base::source()ed each time to check for the .AttachName object. If there are any side effects, they will be repeated each time include(path) is called.

Examples

# include(package) will ensure that the entire package is attached
include(fuj)
head(ls("include:fuj"), 20)
detach("include:fuj", character.only = TRUE)

# include a single export
include(fuj, "collapse")

# include multiple exports, and alias
include(fuj, c(
  no_names = "remove_names",
  match_any = "any_match"
))

# include an export where the alias has a warn conflict
include(fuj, c(attr = "exattr"))

# note that all 4 exports are included
ls("include:fuj")

# all exports are the same
identical(collapse, fuj::collapse)
identical(no_names, fuj::remove_names)
identical(match_any, fuj::any_match)
identical(attr, fuj::exattr)

Listing for dots

Description

Tries to not complain about empty arguments

Usage

list0(...)

lst(...)

Arguments

Details

If options(fuj.list.active = FALSE) is set to prior to package loading (i.e., prior to .onLoad() called), this function becomes an alias for base::list(), disabling the special behavior.

Value

A list of ...

Examples

try(list(1, ))
list0(1, )
try(list(a = 1, ))
list0(a = 1, )
try(list(a = 1, , c = 3, ))
list0(a = 1, , c = 3, )

Match arguments

Description

Much like base::match.arg() with a few key differences:

• Will not perform partial matching (by default)

• Will not return error messages with curly quotations

• Special handling for NULL values

• Allows recoding of values via named lists or lists of formulas

Usage

match_arg(
  arg,
  choices,
  multiple = FALSE,
  partial = getOption("fuj.match_arg.partial", FALSE),
  null = c("error", "first", "all", "null")
)

Arguments

Details

Argument matching for an argument

Value

A single value from arg matched on choices

Examples

fruits <- function(x = c("apple", "banana", "orange")) {
  match_arg(x)
}

fruits()         # apple
try(fruits("b")) # must be exact fruits("banana")

pfruits <- function(x = c("apple", "apricot", "banana")) {
  match_arg(x, partial = TRUE)
}
pfruits()          # apple
try(pfruits("ap")) # fuj:arg_match_error
pfruits("app")     # apple

afruits <- function(x = c("apple", "banana", "orange")) {
  match_arg(x, multiple = TRUE)
}

afruits() # apple, banana, orange

# can have multiple responses
how_much <- function(x = list(too_few = 0:2, ok = 3:5, too_many = 6:10)) {
  match_arg(x)
}

how_much(1)
how_much(3)
how_much(9)

# use a list of formulas instead
ls <- list(1L ~ 0:1, 2L, 3L ~ 3:5)
sapply(0:5, match_arg, choices = ls)

Value matching - Extensions

Description

Non matching alternatives and supplementary functions.

Usage

is_in(x, table)

is_out(x, table)

x %out% table

is_within(x, table)

x %wi% table

is_without(x, table)

x %wo% table

no_match(x, table)

any_match(x, table)

Arguments

Details

Contrast with base::match(), base::intersect(), and base::%in% The functions of %wi% and %wo% can be used in lieu of base::intersect() and base::setdiff(). The primary difference is that the base functions return only unique values, which may not be a desired behavior.

Value

• %out%: A logical vector of equal length of x, table

• %wo%, %wi%: A vector of values of x

• any_match(), no_match(): TRUE or FALSE

• is_in(): see base::%in%

Examples

1:10 %in% c(1, 3, 5, 9)
1:10 %out% c(1, 3, 5, 9)
letters[1:5] %wo% letters[3:7]
letters[1:5] %wi% letters[3:7]

# base functions only return unique values

          c(1:6, 7:2) %wo% c(3, 7, 12)  # -> keeps duplicates
  setdiff(c(1:6, 7:2),     c(3, 7, 12)) # -> unique values

          c(1:6, 7:2) %wi% c(3, 7, 12)  # -> keeps duplicates
intersect(c(1:6, 7:2),     c(3, 7, 12)) # -> unique values

Muffle messages

Description

Aliases for base::suppressMessages() and base::suppressWarnings()

Usage

muffle(expr, fun, classes = "message")

wuffle(expr, fun, classes = "warning")

Arguments

Value

The result of expr or a function wrapping fun

Examples

# load function
foo <- function(...) {
  message("You entered :", paste0(...))
  c(...)
}

# wrap around function or muffle the function ti's
muffle(foo(1, 2))
muffle(fun = foo)(1, 2)
sapply(1:3, muffle(fun = foo))

# silence warnings
wuffle(as.integer("a"))
sapply(list(1, "a", "0", ".2"), wuffle(fun = as.integer))

Set names

Description

Sets or removes names

Usage

set_names(x, nm = x)

remove_names(x)

x %names% nm

is_named(x, zero_ok = TRUE)

Arguments

Value

x with nm values assigned to names (if x is NULL, NULL is returned)

Examples

set_names(1:5)
set_names(1:5, c("a", "b", "c", "d", "e"))

x <- c(a = 1, b = 2)
remove_names(x)
x %names% c("c", "d")
is_named(x)

Negations

Description

not() is an alias for base::!. negate() is a variation of base::Negate() with an extra steps to preserve the original function and maintain the function formals.

Usage

not(x)

negate(fun)

Arguments

Details

Negate an outcome or function

Value

not() See base::!

negate() A function, which is the negation of fun

Examples

identical(not(TRUE), FALSE)

different <- negate(identical)
different(formals(identical), formals(identical))

New condition

Description

Template for a new condition. See more at base::conditions

Usage

new_condition(
  message = "",
  class = "fuj_condition",
  type = c("condition", "error", "warning", "message"),
  ...,
  call = NULL,
  package = find_package(),
  msg,
  pkg
)

Arguments

Details

The use of .packageName when package = TRUE may not be valid during active development. When the attempt to retrieve the .packageName object is unsuccessful, the error is quietly ignored. However, this should be successful once the package is build and functions can then utilize this created object.

Value

A condition with the classes specified from class and type

Examples

# empty condition
x <- new_condition(
  "informative error message",
  class = "foo",
  type = "error"
 )
try(stop(x))

# with pkg
x <- new_condition("msg", class = "foo", type = "error", package = "bar")
# class contains multiple identifiers, including a "bar:fooError"
class(x)
# message contains package information at the end
try(stop(x))

{fuj} options

Description

Options uses for fuj-package functions.

Usage

op.fuj

Examples

names(op.fuj)
op.fuj

Determine operating systems

Description

Determine operating systems

Usage

is_windows()

is_macos()

is_linux()

Value

TRUE or FALSE

Examples

is_windows()
is_macos()
is_linux()

Quick DF

Description

This is a speedier implementation of base::as.data.frame() but does not provide the same sort of checks. It should be used with caution.

Usage

quick_df(x = NULL)

empty_df()

quick_dfl(...)

Arguments

Value

A data.frame; if x is NULL a data.frame with 0 rows and 0 columns is returned (similar to calling base::data.frame() but faster). empty_df() returns a data.frame with 0 rows and 0 columns.

Examples

# unnamed will use make.names()
x <- list(1:10, letters[1:10])
quick_df(x)

# named is preferred
names(x) <- c("numbers", "letters")
quick_df(x)

# empty data.frame
empty_df() # or quick_df(NULL)

Require namespace

Description

require_namespace() is ultimately a check which will produce an error on the first package that is not available or meets version requirements. Although this returns TRUE, it is not intended to be used in a conditional statement. Future version may return invisible(). For conditional checks use available_namespace(), which will return a named logical instead.

is_namespace_available() is an alias for available_namespace().

Usage

require_namespace(package, ...)

available_namespace(package, ...)

is_namespace_available(package, ...)

Arguments

Details

Checks if a package is available and optionally meets a specific version requirement.

Value

• require_namespace() TRUE (invisibly) if found; otherwise errors

• available_namespace() A named logical vector of same length as input. Vector names are packages and values are TRUE if the package is available and meets the version requirement, otherwise FALSE.

Examples

isTRUE(require_namespace("base")) # returns invisibly
try(require_namespace("1package")) # (using a purposefully bad name)
require_namespace("base", "utils")
try(require_namespace("base >= 3.5", "utils > 4.0", "fuj == 0.0"))

# no error check
fuj0 <- if (!available_namespace("fuj == 0.0")) {
  "fuj 0.0 does not exist"
}
fuj0

Simple structures

Description

Create simple structures

Usage

struct(x, class, ..., .keep_attr = FALSE)

Arguments

Details

Unlike base::structure() this does not provide additional checks for special names, performs no base::storage.mode() conversions for factors (x therefor has to be an integer), attributes from x are not retained, and class is specified outside of other attributes and assigned after base::attributes() is called.

Essentially, this is just a wrapper for calling base::attributes() then base::class().

Note that base::structure() provides a warning when the first argument is NULL. struct() does not. The coercion from NULL to base::list() is done, and documented, in base::attributes().

Value

An object with class defined as class and attributes ...

Examples

x <- list(a = 1, b = 2)
# structure() retains the $names attribute of x but struct() does not
structure(x, class = "data.frame", row.names = 1L)
struct(x, "data.frame", row.names = 1L)
struct(x, "data.frame", row.names = 1L, names = names(x))

# structure() corrects entries for "factor" class
# but struct() demands the data to be an integer
structure(1, class = "factor", levels = "a")
try(struct(1, "factor", levels = "a"))
struct(1L, "factor", levels = "a")

# When first argument is NULL -- attributes() coerces
try(structure(NULL))    # NULL, no call to attributes()
struct(NULL, NULL)      # list(), without warning
x <- NULL
attributes(x) <- NULL
x                       # NULL
attributes(x) <- list() # struct() always grabs ... into a list
x                       # list()

# Due to the use of class() to assign class, you may experience some
# other differences between structure() and struct()
x <- structure(1, class = "integer")
y <- struct(1, "integer")
str(x)
str(y)

all.equal(x, y)

# Be careful about carrying over attributes
x <- quick_df(list(a = 1:2, b = 3:4))
# returns empty data.frame
struct(x, "data.frame", new = 1)

# safely changing names without breaking rownames
struct(x, "data.frame", names = c("c", "d")) # breaks
struct(x, "data.frame", names = c("c", "d"), .keep_attr = TRUE)
struct(x, "data.frame", names = c("c", "d"), .keep_attr = "row.names")

# safely adds comments
struct(x, "data.frame", comment = "hi", .keep_attr = TRUE)
struct(x, "data.frame", comment = "hi", .keep_attr = c("names", "row.names"))

# assignment in ... overwrites attributes
struct(x, "data.frame", names = c("var1", "var2"), .keep_attr = TRUE)

Vector applies

Description

Apply a function over elements of a vector.

Usage

vap(x, f, ...)

vapi(x, f, ...)

vap2(x, y, f, ...)

vap3(x, y, z, f, ...)

vapp(p, f, ...)

vap_vec(x, f, ...)

vap_lgl(x, f, ...)

vap_int(x, f, ...)

vap_dbl(x, f, ...)

vap_chr(x, f, ...)

vap_raw(x, f, ...)

vap_cpl(x, f, ...)

vap_date(x, f, ...)

vap_dttm(x, f, ...)

vapi_lgl(x, f, ...)

vapi_int(x, f, ...)

vapi_dbl(x, f, ...)

vapi_chr(x, f, ...)

vapi_raw(x, f, ...)

vapi_cpl(x, f, ...)

vapi_date(x, f, ...)

vapi_dttm(x, f, ...)

vap2_lgl(x, y, f, ...)

vap2_int(x, y, f, ...)

vap2_dbl(x, y, f, ...)

vap2_chr(x, y, f, ...)

vap2_raw(x, y, f, ...)

vap2_cpl(x, y, f, ...)

vap2_date(x, y, f, ...)

vap2_dttm(x, y, f, ...)

vap3_lgl(x, y, z, f, ...)

vap3_int(x, y, z, f, ...)

vap3_dbl(x, y, z, f, ...)

vap3_chr(x, y, z, f, ...)

vap3_raw(x, y, z, f, ...)

vap3_cpl(x, y, z, f, ...)

vap3_date(x, y, z, f, ...)

vap3_dttm(x, y, z, f, ...)

vapp_lgl(p, f, ...)

vapp_int(p, f, ...)

vapp_dbl(p, f, ...)

vapp_chr(p, f, ...)

vapp_raw(p, f, ...)

vapp_cpl(p, f, ...)

vapp_date(p, f, ...)

vapp_dttm(p, f, ...)

with_vap_progress(expr)

with_vap_indexed_errors(expr)

with_vap_handlers(expr)

Arguments

Details

Like base::lapply(), base::mapply(), and family, the vap functions provide a means of applying a function to each element of a vector, and controlling return types. The vap family provides extra tools and controls, as well as date outputs (i.e., ⁠_date⁠, ⁠_dttm⁠ variants that work with Date and POSIXct types).

• vap() uses a single x argument

• vapi() uses a single x argument and passes the names (when available, otherwise index) as the second argument

• vap2(), vap3() use two and three arguments, respectively

• vapp() uses a pairlist of arguments

Value

For vap(), vapi(), returns a list with length of x. For vap2(), vap3(), and vap(), return length is determined by how ... is recycled inside base::mapply().

All have type variants (e.g., vap_chr(), vapi_int(), vap3_dbl()) which return a vector of the corresponding class, with the same length of x, or following the same recycling rules as mapply() for multiple inputs. These returns are coerced, rather than checked, and may result in unexpected outputs. Likely, warnings or errors will be signaled accordingly.

vap_vec() is a variant of vap() that returns a flattened vector. This has similar behavior as base::sapply(), in that a list will be returned if the base::unlist()'d output has multiple values in an element.

with_vap_progress() sets an option vap.progress to TRUE for the duration of expr, which causes a progress bar to be displayed for any ⁠vap*⁠ calls inside expr.

with_vap_handlers() sets an options(vap.indexed_errors = TRUE) for the duration of expr, which causes errors inside vap calls to include the index at which the error occurred.

Extras

Two helper functions are provided to set options for a progress bars (options(fuj.vap.progress)) and reporting an index during and error (options(fuj.vap.index_error)). Two wrapper functions are provided: with_vap_progress() and with_vap_handlers(), respectively; the latter may include other handlers in the future. These are not turned on by default (or rather, the option settings are set to FALSE within fuj) as they incur some additional overhead.

Examples

fruits <- c("apple", "banana", "pear")
vap(fruits, toupper)
vapi(fruits, function(x, i) paste0(i, ": ", toupper(x)))
vap_int(set_names(month.name, month.abb), nchar)
vap2_dbl(1:5, 6:10, `+`)
vapp_int(list(x = 1:5, y = 6:10, z = 11:15), sum)

# return type is coerced:
vap_int(1:5, paste0, "9")  # character -> integer
vap_date(month.name, nchar) # integer -> Date

# when f is a character or number, subsetting is performed
x <- list(list(a = 1, b = 3), list(a = 2, b = 4))
vap_int(x, "a")
vap_int(x, 2)

# wrap in [with_vap_progress()] to show a progress bar
invisible(
  with_vap_progress(
    vap(1:10 / 20, Sys.sleep)
  )
)

# wrap in [with_vap_handlers()] to report index on error
try(
  with_vap_handlers(
    vap(10:1, function(x) if (x == 3) stop("bad"))
  )
)

Verbose

Description

Simple verbose condition handling

Usage

verbose(
  ...,
  .fill = getOption("fuj.verbose.fill"),
  .label = getOption("fuj.verbose.label"),
  .verbose = getOption("fuj.verbose", getOption("verbose"))
)

make_verbose(opt)

Arguments

Details

verbose() can be safely placed in scripts to signal additional message conditions. verbose() can be controlled with options("verbose") (the default) and an override, options("fuj.verbose"). The latter can be set to a function whose result will be used for conditional evaluation.

make_verbose() allows for the creation of a custom verbose function.

Value

None, called for its side-effects. When conditions are met, will signal a verbose_message condition.

Examples

op <- options(verbose = FALSE)
verbose("will not show")

options(verbose = TRUE)
verbose("message printed")
verbose("multiple lines ", "will be ", "combined")
options(op)

op <- options(fuj.verbose = function() TRUE)
verbose("function will evaluate")
verbose(NULL) # nothing
verbose(NULL, "something")
verbose(if (FALSE) {
  "`if` returns `NULL` when not `TRUE`, which makes for additional control"
})
options(op)

# make your own verbose
verb <- make_verbose("fuj.foo.bar")
verb("will not show")
options(fuj.foo.bar = TRUE)
verb("will show")

Yes-no prompt

Description

Prompts the user to make a yes/no selection

Usage

yes_no(..., na = NULL, n_yes = 1, n_no = 2, noninteractive_error = TRUE)

Arguments