compare: Compare similar data sets

Description

Compare different versions of the same dataset with respect to predifined indicators. Results are simplified in a sensible way.

Usage

compare(x, ...)
## S3 method for class 'validator':
compare(x, ..., .list = NULL, how = c("to_first",
  "sequential"))
## S3 method for class 'indicator':
compare(x, ..., .list = NULL)

Arguments

An R object

...

(named) data sets (e.g. data.frames)

.list

Optional list of data sets, will be concatenated with ....

how

how to compare

Value

For validator: An array where each column represents one dataset. The rows count the following attributes:
- Number of validations performed
Number of validations that evaluate to NA (unverifiable)
Number of validations that evaluate to a logical (verifiable)
Number of validations that evaluate to TRUE
Number of validations that evaluate to FALSE
Number of extra validations that evaluate to NA (new, unverifiable)
Number of validations that still evaluate to NA
Number of validations that still evaluate to TRUE
Number of extra validations that evaluate to TRUE
Number of validations that still evaluate to FALSE
Number of extra validations that evaluate to FALSE

code

indicator

itemize

numeric: An array collecting results of scalar indicator (e.g.mean(x)).

item

nonnumeric: An array collecting results of nonnumeric scalar indicators (e.g. names(which.max(table(x))))
array: A list of arrays, collecting results of vector-indicators (e.g. x/mean(x))