High-Performance Open-Source Archive
datastep(). 83K
rows now runs in 21.6 seconds instead of 6.7 minutes, which is a 94.6%
improvement.datastep().libname() function.datastep() function to
filter the data on input.datastep() function.libname() was failing on empty
dataset.lib_write() was not detecting changes
to datasets in libname.libname() when there are file names with
multiple dots.datastep() when running in
source.all().datastep() where expression that was
removing input dataset attributes (like labels).datastep() when there are spaces in the
column names and output() function is used.datastep() performance.libname().datastep(). For multiple values, use the v()
function.output() function to datastep.datastep().datastep() rename.%eq% operator from this
package, as it has been moved to the common package. A
dependency on common has been added to the
libr package so that the %eq% operator
will be loaded and available. However, it is still possible some changes
may be required to make the new location for the %eq%
operator work properly.datastep() to both input
and output dataset.libname() function
engines.datastep() function.datastep() function.lib_export() function to export a library to a
different directory and file format.dictionary() that was causing a warning
when there were no rows on the input data frame.dictionary() when encountering datetime
variable with multiple POSIX classes.dictionary() function that wasn’t showing
width attribute.datastep() when applying attributes to a
calculated variable.libname() and
lib_copy() functions to allow user to pass library names as
a variable.libname() function to
minimize console output if desired.dsarray() class to
handle data step arrays. This functionality allows iteration across a
list of variables inside a datastep().dsattr() class
to handle data step attributes. This functionality allows the user to
add attributes to datastep variables.datastep() where it was stripping column
attributes on Base R data frames.libname() and
lib_load() functions. The filter parameter allows the user
to specify which data from the library they want loaded into
memory.A package to create data libraries, data dictionaries, and the ability to perform a data step. The major functions are:
libname() function creates a data librarydictionary() function creates a data dictionarydatastep() function steps through data row-by-row%eq% allows comparison of any two R objects without
errorThe packages also contains a variety of functions to manipulate data
libraries: * lib_load(): Loads a library into the workspace
* lib_unload(): Unloads a library from the workspace *
lib_sync(): Synchronizes the workspace with the library
list * lib_write(): Writes library data to the file system
* lib_add(): Adds data to a library *
lib_replace(): Replaces data in a library *
lib_remove(): Removes data from a library *
lib_copy(): Copies a data library *
lib_delete(): Deletes a data library *
lib_info(): Returns a data frame of information about the
library * lib_path(): Returns the path of a data library *
lib_size(): Returns the size of the data library in bytes *
specs(): Create a collection of import specifications *
import_spec(): Define an import specification for a
file
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