assert_values: Assert that a data.frame's columns are non-NA/infinite, or...
In assertable: Verbose Assertions for Tabular Data (Data.frames and Data.tables)

Description Usage Arguments Value Examples

Given a data.frame or data.table object, make assertions about values of the columns within the object. Assert that a column contains no missing/infinite values, or that it is greater/less than, equal to, or contains either a single value, vector with nrow(data) values, or a vector of any length(for in option).

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assert_values(data, colnames, test = "not_na", test_val = NA,
  display_rows = TRUE, na.rm = FALSE, warn_only = FALSE,
  quiet = FALSE)

`data`	A data.frame or data.table
`colnames`	Character vector with column names corresponding to columns in data
`test`	The type of evaluation you want to assert in your data not_na: All values must not be Na not_nan: All values must not be NaN not_inf: All values must not be infinite lt: All values must be less than test_val lte: All values must be less than or equal to test_val gt: All values must be greater than test_val gte: All values must be greater than or equal to test_val equal: All values must be equal to test_val not_equal: All values must not equal test_val in: All values must be one of the values in test_val
`test_val`	A single value, a vector with length = nrow(data), or a vector of any length (if using the in option for test. Must match the character type of colnames.
`display_rows`	Do you want to show the actual rows that violate the assertion? Default=T
`na.rm`	Do you want to remove NA and NaN values from assertions? Default=F
`warn_only`	Do you want to warn, rather than error? Will return all offending rows from the first violation of the assertion Default=F
`quiet`	Do you want to suppress the printed messages when a test is passed? Default = F.

Throws error if test is violated. If warn_only=T, will return all offending rows from the first violation of the assertion.

assert_values(CO2, colnames="uptake", test="gt", 0) # Are all values greater than 0?
assert_values(CO2, colnames="conc", test="lte", 1000) # Are all values less than/equal to 1000?
## Not run: 
 assert_values(CO2, colnames="uptake", test="lt", 40) # Are all values less than 40?
 # Fails: not all values < 40.

## End(Not run)
assert_values(CO2, colnames="Treatment", test="in", test_val = c("nonchilled","chilled"))
CO2_mult <- CO2
CO2_mult$new_uptake <- CO2_mult$uptake * 2
assert_values(CO2, colnames="uptake", test="equal", CO2_mult$new_uptake/2)
## Not run: 
 assert_values(CO2, colnames="uptake", test="gt", CO2_mult$new_uptake/2, display_rows=F)
 # Fails: uptake !> new_uptake/2

## End(Not run)