Package 'lablah'

Codebook

Description

Generate a codebook based on data documentation (variable names, variable labels, and value labels).

Usage

cdbk_df(data)

cdbk_dt(data, ...)

Arguments

data	labelled tibble
...	other arguments passed to DT::datatable()

Value

Function cdbk_df() returns a tibble with columns:

• variable - variable name

• label - variable label

• value_labels - list of tibbles with value labels

Function cdbk_dt() uses DT::datatable() to generate a browsable and searchable codebook based on the documentation.

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Frequency tibble

Description

Frequency tibble

Usage

freq_df(data, var = -1, name = NULL, ...)

Arguments

data	data frame
var	Variable name or index (negative counting from the right, positive counting from the left), see dplyr::pull()
name	Column which values will be used as names. Specified as var. C.f. dplyr::pull()
...	other arguments

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Lists and tibbles with user missing values

Description

Lists and tibbles with user missing values

Usage

misvals(data)

misranges(data)

misranges_df(data)

Arguments

data	Labelled tibble with missing values/ranges defined

Value

Function misvals() returns a list of vectors of missing values (or NULLs if none are defined). List elements are named with variable names.

Function misranges() returns a list of two-element vectors with ranges of missing values.

Function misranges_df() returns a tibble with columns

• variable - Variable name

• from, to - Bounds (inclusive) of the missing value range

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Heuristically guess or verify type of a variable

Description

Given a vector x guess what kind of "type" it is, where "type" correspond to some common classes influencing useful ways to analyze/visualize. These functions are used internally to determine default behavior of some other functions.

• seems_integer() – Returns TRUE if x is typeof() integer or is a numeric with all values being in fact integers (i.e. equal to round(x)).

• seems_continuous() – Returns TRUE if x is numeric and, if an integer, has more than 10 distinct values.

• seems_discrete() – Returns TRUE if x does not seem to be continuous.

• seems_categorical() -

Usage

seems_integer(x)

seems_continuous(x)

seems_discrete(x)

seems_categorical(x)

Arguments

x	a vector for which is.atomic() is TRUE

Value

All ⁠seems_*()⁠ functions return TRUE or FALSE (a logical scalar).

Examples

# seems_integer() ----------------------------------------------------------
seems_integer(1:5)       # TRUE
seems_integer(runif(5))  # FALSE

# seems_continuous() -------------------------------------------------------
seems_continuous(1:5)       # FALSE
seems_continuous(1:11)      # TRUE
seems_continuous(runif(5))  # TRUE

# Summarize variables of `mtcars` in a type-dependent way by drawing a
# histogram for continuous ones and barchart with counts for non-continuous
# ones.
iscont <- vapply(mtcars, seems_continuous, logical(1))
layout(matrix(1:12, 3, 4))
for(n in names(mtcars)) {
  if(iscont[n]) {
    hist(mtcars[[n]], main=n, xlab="")
  } else {
    barplot(table(mtcars[[n]]), main=n)
  }
}
layout(1)

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Extract value labels and return as tibble(s)

Description

Extract value labels and return as tibble(s)

Usage

vallabs(object, ...)

## Default S3 method:
vallabs(object, ...)

## S3 method for class 'data.frame'
vallabs(object, ...)

Arguments

object	R object, typically a vector or data frame. See below for available methods
...	other arguments to/from other methods. Currently ignored.

Value

The default method returns a single tibble with columns:

• label - Value label

• value - Value

If object is a data frame vallabs() returns a list of tibbles (or NULLs of no value labels are present) named with variable names. Each tibble has columns as described in the default method.

Methods (by class)

• default: Extract value labels and return a tibble.

• data.frame: Extract value labels from all the columns and return a list of tibbles.

See Also

labelled::val_labels()

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Tibble of variable labels

Description

Tibble of variable labels

Usage

varlabs(data)

Arguments

data	data frame with labelled variables

Value

A tibble with columns

• variable - Variable name

• label - Variable label

See Also

labelled::var_label()

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