# missing

0th

Percentile

##### Missing values

Missing values are represented in R with the general symbol NA. They can be inserted in almost all data containers: all atomic vectors except raw vectors can contain missing values. To achieve this, R automatically converts the general NA symbol to a typed missing value appropriate for the target vector. The objects provided here are aliases for those typed NA objects.

Keywords
datasets
##### Usage
na_lglna_intna_dblna_chrna_cpl
##### Details

Typed missing values are necessary because R needs sentinel values of the same type (i.e. the same machine representation of the data) as the containers into which they are inserted. The official typed missing values are NA_integer_, NA_real_, NA_character_ and NA_complex_. The missing value for logical vectors is simply the default NA. The aliases provided in rlang are consistently named and thus simpler to remember. Also, na_lgl is provided as an alias to NA that makes intent clearer.

Since na_lgl is the default NA, expressions such as c(NA, NA) yield logical vectors as no data is available to give a clue of the target type. In the same way, since lists and environments can contain any types, expressions like list(NA) store a logical NA.

##### Format

An object of class logical of length 1.

The vector-along family to create typed vectors filled with missing values.

• missing
• na_lgl
• na_int
• na_dbl
• na_chr
• na_cpl
##### Examples
# NOT RUN {
typeof(NA)
typeof(na_lgl)
typeof(na_int)

# Note that while the base R missing symbols cannot be overwritten,
# that's not the case for rlang's aliases:
na_dbl <- NA
typeof(na_dbl)
# }

Documentation reproduced from package rlang, version 0.1.6, License: GPL-3

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