validate_file_meta: Validate file_meta class objects
In a-maldet/readall: Read FWF, DSV, EXCEL And SAS Files

Description Usage Arguments Value meta information

Validate file_meta class objects

1	validate_file_meta(obj, validate_class = TRUE, err_h)

`obj`	An unnamed list object, where each entry is a col_meta class object.
`validate_class`	A logical. If set to `TRUE` then the `obj` must also have the `file_meta` class.
`err_h`	An error handler.

The unmodified obj

The col_meta class objects are used in order to store some meta information about single data columns, like additional column desciptions, and column value/level descriptions. In order to store meta information about a set of columns a file_meta class object can be used. This objects store a list of col_meta class objects, where each col_meta class object corresponds to a specific column in a data set. This file_meta class objects are usually stored in file_structure class objects or file_definition class objects. But when calling read_data(), the meta information gets also appended to the resulting data.frame. The meta information stored in a file_structure, a file_definition class object or a read data.frame can be extracted by using the function get_meta(). A col_meta class object holds the following informations:

desc: A string holding the column description.
values: A vector (character/logical/numeric) usually holding the possible column values (e.g. c(1, 2)) or a more abstract text version of the column values (e.g. c("JJJJMMDD", "99999999", "")).
values_desc: A character vector that corresponds to the values vector. Each entry of values_desc is a more detailed description of the corresponding entry in values. If some descriptions are not present, the entries are NA values.