A function to create the import specifications for a
particular data file. This information can be used on the
libname function to correctly assign the data types for
columns on imported data. The import specifications are defined as
name/value pairs, where the name is the column name and the value is the
data type indicator. Available data type indicators are
'guess', 'logical', 'character', 'integer', 'numeric',
'date', 'datetime', and 'time'. See the specs function
for an example of using import specs.
import_spec(..., na = NULL, trim_ws = NULL)Named pairs of column names and column data types. Available types are: 'guess', 'logical', 'character', 'integer', 'numeric', 'date', 'datetime', and 'time'. The date/time data types accept an optional input format. To supply the input format, append it after the data type following an equals sign, e.g.: 'date=%d%B%Y' or 'datetime=%d%m%Y %H:%M:%S'. Default is NULL, meaning no column types are specified, and the function should make its best guess for each column.
A vector of values to be treated as NA. For example, the
vector c('', ' ') will cause empty strings and single blanks to
be converted to NA values. Default is NULL, meaning the value of the
na parameter will be taken from the specs function.
Any value supplied on the import_spec function will override the
value from the specs function.
Whether or not to trim white space from the input data values.
The default is NULL, meaning the value of the trim_ws parameter
will be taken from the specs function. Any value supplied
on the import_spec function will override the value from the
specs function.
The import specification object.
libname to create a data library, and
specs for an example using import specs.
Other specs:
print.specs(),
read.specs(),
specs(),
write.specs()