check_numeric_vector: Check whether an input is an atomic vector of mode 'numeric'
In epiforecasts/scoringutils: Utilities for Scoring and Assessing Predictions

check_numeric_vector

R Documentation

Check whether an input is an atomic vector of mode 'numeric'

Helper function to check whether an input is a numeric vector.

check_numeric_vector(x, ...)

x

input to check

...

Arguments passed on to checkmate::check_numeric

lower: [numeric(1)]
Lower value all elements of x must be greater than or equal to.
upper: [numeric(1)]
Upper value all elements of x must be lower than or equal to.
finite: [logical(1)]
Check for only finite values? Default is FALSE.
any.missing: [logical(1)]
Are vectors with missing values allowed? Default is TRUE.
all.missing: [logical(1)]
Are vectors with no non-missing values allowed? Default is TRUE. Note that empty vectors do not have non-missing values.
len: [integer(1)]
Exact expected length of x.
min.len: [integer(1)]
Minimal length of x.
max.len: [integer(1)]
Maximal length of x.
unique: [logical(1)]
Must all values be unique? Default is FALSE.
sorted: [logical(1)]
Elements must be sorted in ascending order. Missing values are ignored.
names: [character(1)]
Check for names. See checkNamed for possible values. Default is “any” which performs no check at all. Note that you can use checkSubset to check for a specific set of names.
typed.missing: [logical(1)]
If set to FALSE (default), all types of missing values (NA, NA_integer_, NA_real_, NA_character_ or NA_character_) as well as empty vectors are allowed while type-checking atomic input. Set to TRUE to enable strict type checking.
null.ok: [logical(1)]
If set to TRUE, x may also be NULL. In this case only a type check of x is performed, all additional checks are disabled.