Package 'wrangle'

Identify Constant Features of a Data Frame

Description

Returns columns of a data.frame whose values do not vary within subsets defined by columns named in .... Defaults to groups(x) if none supplied, or all columns otherwise.

Usage

## S3 method for class 'data.frame'
constant(x, ...)

Arguments

x	object
...	optional grouping columns (named arguments are ignored)

Value

data.frame (should be same class as x)

See Also

Other constant: constant()

Examples

library(dplyr)
constant(Theoph)                      # data frame with 0 columns and 1 row
constant(Theoph, Subject)             # Subject Wt Dose Study
Theoph$Study <- 1
constant(Theoph)                      # Study
constant(Theoph, Study)               # Study
constant(Theoph, Study, Subject)      # Subject Wt Dose Study
Theoph <- group_by(Theoph, Subject)
constant(Theoph)                      # Subject Wt Dose Study
constant(Theoph, Study)               # Study
foo <- data.frame(x = 1)
foo <-  group_by(foo, x)
class(foo) <- c('foo', class(foo))
stopifnot(identical(class(foo), class(constant(foo))))

---

Show records with duplicate or duplicated values of grouping variables.

Description

Shows records with duplicate or duplicated values of grouping variables.

Usage

## S3 method for class 'data.frame'
dup(x, ...)

Arguments

x	data.frame
...	optional grouping columns (named arguments are ignored)

Value

data.frame

See Also

Other dup: dup()

Examples

library(dplyr)
dupGroups(mtcars)
dupGroups(group_by(mtcars, mpg))
dup(group_by(mtcars, mpg))

---

Index records with with duplicate or duplicated values of grouping variables.

Description

Indexes records with with duplicate or duplicated values of grouping variables. If b follows a and and is the same, then b is a duplicate, a is duplicated, and both are shown.

Usage

## S3 method for class 'data.frame'
dupGroups(x, ...)

Arguments

x	data.frame
...	optional grouping columns (named arguments are ignored)

Value

grouped_df

logical

See Also

Other dupGroups: dupGroups()

---

Count unique combinations of items in specified columns.

Description

Counts unique combinations of items in specified columns (unquoted).

Usage

enumerate(x, ...)

Arguments

x	data.frame
...	columns to show

Value

grouped_df

See Also

Other util: detect(), itemize(), static()

Examples

enumerate(mtcars, cyl, gear, carb)

---

Drop columns in x that are present in y.

Description

Drops columns in x that are present in y.

Usage

ignore(x, y, ...)

Arguments

x	data.frame
y	data.frame
...	ingored

Value

data.frame

---

Drop columns in x that are entirely NA.

Description

Drops columns in x that are entirely NA.

Usage

informative(x, ...)

Arguments

x	object of dispatch
...	passed

See Also

informative.data.frame

Other informative: informative.data.frame()

Examples

head(Theoph)
Theoph$Dose <- NA
head(informative(Theoph))

---

Drop columns in x that are entirely NA.

Description

Drops columns in x that are entirely NA.

Usage

## S3 method for class 'data.frame'
informative(x, ...)

Arguments

x	data.frame
...	ingored

Value

data.frame

See Also

Other informative: informative()

---

Show unique combinations of items in specified columns

Description

Shows unique combinations of items in specified columns (unquoted).

Usage

itemize(x, ...)

Arguments

x	data.frame
...	columns to show

Value

grouped_df

See Also

Other util: detect(), enumerate(), static()

Examples

itemize(mtcars, cyl, gear, carb)

---

Index records whose relative positions would change if sorted.

Description

Indexes records whose relative positions would change if sorted, i.e. records that would not have the same nearest neighbors (before and after). unsorted() returns the records corresponding to this index.

Usage

## S3 method for class 'data.frame'
misplaced(x, ...)

Arguments

x	data.frame
...	optional grouping columns (named arguments are ignored)

Value

logical with length nrow(x)

See Also

na dup

Other unsorted: misplaced(), unsorted.data.frame(), unsorted()

---

Show records with NA values of grouping variables.

Description

Shows records with NA values of grouping variables.

Usage

## S3 method for class 'data.frame'
na(x, ...)

Arguments

x	data.frame
...	optional grouping columns (named arguments are ignored)

Value

data.frame

See Also

Other na: na()

---

Index records with NA values of grouping variables.

Description

Indexes records with NA values of grouping variables.

Usage

## S3 method for class 'data.frame'
naGroups(x, ...)

Arguments

x	data.frame
...	optional grouping columns (named arguments are ignored)

Value

logical

See Also

Other naGroups: naGroups()

---

Join Data Frames Safely

Description

Joins data frames safely. I.e., a left join that cannot alter row order or number. Supports the case where you only intend to augment existing rows with additional columns and are expecting singular matches. Gives an error if row order or number would have been altered by a left join.

Usage

## S3 method for class 'data.frame'
safe_join(x, y, ...)

Arguments

x	data.frame
y	data.frame
...	passed to dplyr::left_join

See Also

Other safe_join: safe_join()

Examples

library(magrittr)
x <- data.frame(code = c('a','b','c'), value = c(1:3))
y <- data.frame(code = c('a','b','c'), roman = c('I','II','III'))
x %>% safe_join(y)
try(
x %>% safe_join(rbind(y,y))
)

---

Arrange by groups.

Description

As of 0.5, dplyr::arrange ignores groups. This function gives the old behavior as a method for generic base::sort. Borrowed from Ax3man at https://github.com/hadley/dplyr/issues/1206.

Usage

## S3 method for class 'grouped_df'
sort(x, decreasing = FALSE, ...)

Arguments

x	grouped_df
decreasing	logical (ignored)
...	further sort criteria

Value

grouped_df

Examples

library(dplyr)
head(sort(group_by(Theoph, Subject, Time)))

---

Find unique records for subset of columns with one unique value.

Description

Finds unique records for subset of columns with one unique value.

Usage

static(x, ...)

Arguments

x	data.frame
...	ignored

Value

data.frame

See Also

Other util: detect(), enumerate(), itemize()

---

Report status with respect to grouping variables.

Description

Reports status with respect to grouping variables.

Usage

## S3 method for class 'data.frame'
status(x, ...)

Arguments

x	data.frame
...	optional grouping columns (named arguments are ignored)

Value

returns x invisibly (as originally grouped)

See Also

na dup unsorted informative ignore itemize enumerate sort.grouped_df

Other status: status()

Examples

library(dplyr)
status(Theoph)
status(Theoph, Subject)
status(group_by(Theoph, Subject, Time))

---

Extract records whose relative positions would change if sorted.

Description

Extracts records whose relative positions would change if sorted, i.e. records that would not have the same nearest neighbors (before and after). misplaced() returns the index that extracts these records.

Usage

## S3 method for class 'data.frame'
unsorted(x, ...)

Arguments

x	data.frame
...	optional grouping columns (named arguments are ignored)

Value

data.frame, possibly grouped_df

See Also

na dup

Other unsorted: misplaced.data.frame(), misplaced(), unsorted()

---

Show records with NA, duplicate or duplicated values of grouping variables.

Description

Shows records with NA, duplicate or duplicated values of grouping variables.

Usage

## S3 method for class 'data.frame'
weak(x, ...)

Arguments

x	data.frame
...	optional grouping columns (named arguments are ignored)

Value

data.frame

See Also

Other weak: weak()

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