import_spec | R Documentation |
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. |
na |
A vector of values to be treated as NA. For example, the
vector |
trim_ws |
Whether or not to trim white space from the input data values.
The default is NULL, meaning the value of the |
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()
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