validate version 1.5 is out

June 24, 2016

(This article was first published on R – Mark van der Loo, and kindly contributed to R-bloggers)

A new version of the validate package for data validation was just accepted on CRAN and will be available on all mirrors in a few days.

The most important addition is that you can now reference the data set as a whole, using the “dot” syntax like so:

iris %>% check_that(
  , "Sepal.Width" %in% names(.)) %>% 

  rule items passes fails nNA error warning                  expression
1   V1     1      1     0   0 FALSE   FALSE               nrow(.) > 100
2   V2     1      1     0   0 FALSE   FALSE "Sepal.Width" %in% names(.)

Also, it is now possible to return a logical, even when the result is NA, by passing the na.value option.

dat = data.frame(x=c(1,NA,-1))
v = validator(x > 0)
[1,]  TRUE
[2,]    NA
[3,] FALSE
[1,]  TRUE
[2,] FALSE
[3,] FALSE

A complete list of changes and bugfixes can be found in the NEWS file. Below I include changes in 1.4 since I did not write about it before.

I will be talking about this package at the upcoming useR!2016 event, so join me if you’re interested!

version 0.1.5
– The ‘.’ is now used to reference the validated data set as whole.
– Small change in output of ‘compare’ to match the table in van den Broek et al. (2013)

version 0.1.4
– ‘confront’ now emits a warining when variable name conflicts with name of a reference data set
– Deprecated ‘validate_reset’, in favour of the shorter ‘reset’ (use ‘validate::reset’ in case of ambiguity)
– Deprecated ‘validate_options’ in favour of the shorter ‘voptions’
– New option na.value with default value NA, controlling the output when a rule evaluates to NA.
– Added rules from the ESSnet on validation (deliverable 17) to automated tests.
– added ‘grepl’ to allowed validation syntax (suggested by Dusan Sovic)
– exported a few functions w/ keywords internal for extensibility
– Bugfix: blocks sometimes reported wrong nr of blocks (in case of a single connected block.)
– Bugfix: macro expansion failed when macros were reused in other macros.
– Bugfix: certain nonlinear relations were recognized as linear
– Bugfix: rules that use (anonymous) function definitions raised error when printed.

To leave a comment for the author, please follow the link and comment on their blog: R – Mark van der Loo. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)