Learn R Programming
validate (version 0.1.5)

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, ...)


"compare"(x, ..., .list = NULL, how = c("to_first", "sequential"))


"compare"(x, ..., .list = NULL)

Arguments

x
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 (still unverifialble)
  • 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
For indicator: A list with the following components:
  • numeric: An array collecting results of scalar indicator (e.g. mean(x)).
  • 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))

See Also