This set of functions can be used to construct formatting functions adhering to the Response$format() requirements.
format_json( dataframe ="rows", matrix ="rowmajor", Date ="ISO8601", POSIXt ="string", factor ="string", complex ="string", raw ="base64", null ="list", na ="null", auto_unbox =FALSE, digits =4, pretty =FALSE, force =FALSE)format_plain(sep ="\n")format_xml(encoding ="UTF-8", options ="as_xml")format_html(encoding ="UTF-8", options ="as_html")format_table(...)
Arguments
dataframe: how to encode data.frame objects: must be one of 'rows', 'columns' or 'values'
matrix: how to encode matrices and higher dimensional arrays: must be one of 'rowmajor' or 'columnmajor'.
Date: how to encode Date objects: must be one of 'ISO8601' or 'epoch'
POSIXt: how to encode POSIXt (datetime) objects: must be one of 'string', 'ISO8601', 'epoch' or 'mongo'
factor: how to encode factor objects: must be one of 'string' or 'integer'
complex: how to encode complex numbers: must be one of 'string' or 'list'
raw: how to encode raw objects: must be one of 'base64', 'hex' or 'mongo'
null: how to encode NULL values within a list: must be one of 'null' or 'list'
na: how to print NA values: must be one of 'null' or 'string'. Defaults are class specific
auto_unbox: automatically unbox() all atomic vectors of length 1. It is usually safer to avoid this and instead use the unbox() function to unbox individual elements. An exception is that objects of class AsIs (i.e. wrapped in I()) are not automatically unboxed. This is a way to mark single values as length-1 arrays.
digits: max number of decimal digits to print for numeric values. Use I() to specify significant digits. Use NA for max precision.
pretty: adds indentation whitespace to JSON output. Can be TRUE/FALSE or a number specifying the number of spaces to indent. See prettify()
force: unclass/skip objects of classes with no defined JSON mapping
sep: The line separator. Plain text will be split into multiple strings based on this.