transform_regular

Adjusts data frame to corporaexplorer format

internal

Facilitates dynamic exploration of text collections through an
intuitive graphical user interface and the power of regular expressions.
The package contains 1) a helper function to convert a data frame to a
'corporaexplorerobject' and 2) a 'Shiny' app for fast and flexible exploration
of a 'corporaexplorerobject'. The package also includes demo apps with which
one can explore Jane Austen's novels and the State of the Union Addresses
(data from the 'janeaustenr' and 'sotu' packages respectively).

Kristian Lundby Gjerde

corporaexplorer

A 'Shiny' App for Exploration of Text Collections

transform_regular function

<dl><dt>df</dt>
<dd>Data frame with text column (character),
Date column (Date) (if date based corpus),
and
optionally other
columns.</dd>
<dt>tile_length_range</dt>
<dd>Numeric vector of length two.
Fine-tune the tile lengths in document wall
and day corpus view. Tile length is calculated by
<code>scales::rescale(nchar(dataset[[text_column]]),
to = tile_length_range,
from = c(0, max(.)))</code>
Default is <code>c(1, 10)</code>.</dd></dl>

Arguments

Adjusts data frame to corporaexplorer format — transform_regular

<dl>

<dt>df</dt>
<dd>Data frame with text column (character),
Date column (Date) (if date based corpus),
and
optionally other
columns.</dd>


<dt>tile_length_range</dt>
<dd>Numeric vector of length two.
Fine-tune the tile lengths in document wall
and day corpus view. Tile length is calculated by
<code>scales::rescale(nchar(dataset[[text_column]]),
to = tile_length_range,
from = c(0, max(.)))</code>
Default is <code>c(1, 10)</code>.</dd>

</dl>

transform_regular: Adjusts data frame to corporaexplorer format

Description

Usage

Value

Arguments