DATA_TYPES {dataquieR}

Data Types

Description

Data Types of Study Data

In the metadata, the following entries are allowed for the variable attribute DATA_TYPE:

Usage

DATA_TYPES

Format

An object of class list of length 4.

Details

• integer for integer numbers

• string for text/string/character data

• float for decimal/floating point numbers

• datetime for timepoints

Data Types of Function Arguments

As function arguments, dataquieR uses additional type specifications:

• numeric is a numerical value (float or integer), but it is not an allowed DATA_TYPE in the metadata. However, some functions may accept float or integer for specific function arguments. This is, where we use the term numeric.

• enum allows one element out of a set of allowed options similar to match.arg

• set allows a subset out of a set of allowed options similar to match.arg with several.ok = TRUE.

• variable Function arguments of this type expect a character scalar that specifies one variable using the variable identifier given in the metadata attribute VAR_NAMES or, if label_col is set, given in the metadata attribute given in that argument. Labels can easily be translated using prep_map_labels

• ⁠variable list⁠ Function arguments of this type expect a character vector that specifies variables using the variable identifiers given in the metadata attribute VAR_NAMES or, if label_col is set, given in the metadata attribute given in that argument. Labels can easily be translated using prep_map_labels

See Also

integer string