Type: | Package |
Title: | Functions and Utilities for Jordan |
Version: | 0.2.2 |
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 |
RoxygenNote: | 7.3.2 |
Depends: | R (≥ 3.6) |
Suggests: | spelling, testthat (≥ 3.0.0) |
Config/testthat/edition: | 3 |
URL: | https://jmbarbone.github.io/fuj/, https://github.com/jmbarbone/fuj |
BugReports: | https://github.com/jmbarbone/fuj/issues |
NeedsCompilation: | no |
Packaged: | 2025-04-23 01:18:50 UTC; jordan |
Author: | Jordan Mark Barbone
|
Repository: | CRAN |
Date/Publication: | 2025-04-23 04:50:02 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]
See Also
Useful links:
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_dfl(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
... |
one or more R objects, to be converted to character vectors. |
sep |
a character string to separate the terms. Not
|
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_dfl(a = 1:3, b = 4:6), sep = "-")
Colons
Description
Get an object from a namespace
Usage
package %::% name
package %:::% name
package %colons% name
Arguments
package |
Name of the package |
name |
Name to retrieve |
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
Exact attributes
Description
Get the exact attributes of an object
Usage
exattr(x, which)
x %attr% which
Arguments
x |
an object whose attributes are to be accessed. |
which |
a non-empty character string specifying which attribute is to be accessed. |
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
x |
An object |
... |
Additional arguments passed to methods |
by |
Flip by |
keep_rownames |
Logical, if |
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
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()
.
Usage
fp(...)
file_path(...)
is_path(x)
is_file_path(x)
Arguments
... |
Path components, passed to |
x |
An object to test |
Details
Lightweight file path functions
Value
-
fp()
/file_path()
: Acharacter
vector of the normalized path with a"file_path"
class -
is_path()
/is_file_path()
: ATRUE
orFALSE
value
Examples
fp("here")
fp("~/there")
fp("back\\slash")
fp("remove//extra\\\\slashes")
fp("a", c("b", "c"), "d")
Default value for NULL
or no length
Description
Replace if NULL
or not length
Usage
x %||% y
x %|||% y
x %len% y
Arguments
x , y |
If |
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
package |
A package name. This can be given as a name or a character
string. See section |
exports |
A character vector of exports. When named, these exports will be aliases as such. |
lib |
See |
pos |
An integer specifying the position in the |
warn |
See |
Details
Include (attach) a package and specific exports to Search Path
Value
The attached environment, invisibly.
package
class handling
When package
is a name or 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 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 search()
path.
Note: include()
won't try to attach an environment a second time,
however, when package
is a path, it must be 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
... |
Arguments to collect in a list |
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, )
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
x |
vector or |
table |
vector or |
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%
: Alogical
vector of equal length ofx
,table
-
%wo%
,%wi%
: A vector of values ofx
-
any_match()
,no_match()
:TRUE
orFALSE
-
is_in()
: seebase::%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
expr |
An expression to evaluate |
fun |
A function to muffle (or wuffle) |
classes |
A character vector if classes to suppress |
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
x |
A vector of values |
nm |
A vector of names |
zero_ok |
If |
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)
New condition
Description
Template for a new condition. See more at base::conditions
Usage
new_condition(
msg = "",
class = NULL,
call = NULL,
type = c("error", "warning", "message", NA_character_),
message = msg,
pkg = package()
)
Arguments
msg , message |
A message to print |
class |
Character string of a single condition class |
call |
A call expression |
type |
The type (additional class) of condition: |
pkg |
Control or adding package name to condition. If |
Details
The use of .packageName
when pkg = 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")
try(stop(x))
# with pkg
x <- new_condition("msg", class = "foo", pkg = "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}
functions.
Usage
op.fuj
Format
An object of class list
of length 3.
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 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
x |
A list or |
... |
Columns as |
Value
A data.frame
; if x
is NULL
a data.frame
with 0
rows and 0
columns is returned (similar to calling 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
Usage
require_namespace(package, ...)
Arguments
package , ... |
Package names |
Value
TRUE
(invisibly) if found; otherwise errors
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==10.0"))
Simple structures
Description
Create simple structures
Usage
struct(x, class, ..., .keep_attr = FALSE)
Arguments
x |
An object; if |
class |
A vector of classes; can also be |
... |
Named attributes to set to |
.keep_attr |
Control for keeping attributes from |
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 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)
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
... |
A message to display. When |
.fill |
When |
.label |
A label to prefix the message with (controlled through
|
.verbose |
When |
opt |
An option to use in lieu of |
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 verboseMessage
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
... |
text to display |
na |
Text for an NA response. When NULL, will not provide a possible NA response. When |
n_yes , n_no |
The number of yes/no selections |
noninteractive_error |
While |