lbj_cells-class

lbj_cells

Logging object to use with the lumberjack package

Declare data validation rules and data quality indicators;
confront data with them and analyze or visualize the results.
The package supports rules that are per-field, in-record,
cross-record or cross-dataset. Rules can be automatically
analyzed for rule type and connectivity. See also Van der Loo
and De Jonge (2018) <doi:10.1002/9781118897126>,
chapter 6.

Mark der Loo

validate

Data Validation Infrastructure

Mark van der Loo

Edwin de Jonge

Paul Hsieh

lbj_cells-class function

Format

<dl class="dl-horizontal">
<dt><code>add(meta, input, output)</code></dt><dd>Add logging info based on in- and output</dd></dl><dt><code>dump(file = NULL, verbose = TRUE, ...)</code></dt><dd>Dump logging info to csv file. 
All arguments in '...' except row.names are passed to 'write.csv'</dd><dt><code>initialize(..., verbose = TRUE, label = "")</code></dt><dd>Create object. Optionally toggle verbosity.</dd><dt><code>log_data()</code></dt><dd>Return logged data as a data.frame</dd>

Methods

Logging object to use with the lumberjack package — lbj_cells-class

Logging object to use with the lumberjack package

`step`	`integer`	Step number
`time`	`POSIXct`	Timestamp
`expr`	`character`	Expression used on data
`cells`	`integer`	Total nr of cells in dataset
`available`	`integer`	Nr of non-NA cells
`missing`	`integer`	Nr of empty (NA) cells
`still_available`	`integer`	Nr of cells still available after expr
`unadapted`	`integer`	Nr of cells still available and unaltered
`unadapted`	`integer`	Nr of cells still available and altered
`imputed`	`integer`	Nr of cells not missing anymore

lbj_cells-class: Logging object to use with the lumberjack package

Description

Arguments

Format

Methods

Details

See Also