Thanks to Kit Baum, a new version of the -moremata-
package is available from the SSC Archive.
If an older version of -moremata- is already installed
on your system, it may be advisable to remove it typing
. ado uninstall moremata
Then type
. ssc install moremata, replace
to install the update. Installation instructions for
people without direct access to the SSC Archive from
within Stata can be found below.
-moremata- is a collection of various Mata functions.
The changes are:
o Functions renamed
To prevent name conflicts, all -moremata- functions
are now prefixed by "mm_". For example, the former
-quantile()- function is now called -mm_quantile()-.
Similarly -insheet()- is now -mm_insheet()-, etc.
As a consequence of the renaming of the -moremata-
functions, the -kdens- package and the -valuesof-
package, which make use of -moremata-, have also
changed. See folowing messages.
o New sampling functions
-moremata- now contains sampling functions. This is
particularly useful for the implementation of
replication techniques in Mata. The new -moremata-
sampling functions will be described in more detail
in a following message.
o New -mm_panels()- function
-mm_panels()- counts "panels" and "sub-panels" in
the data. -mm_panels()- is a helper tool for the
implementation of stratified cluster sampling.
o Improved -mm_outsheet()-, -mm_insheet()-, and
-mm_infile()-
The -mm_outsheet()- function now has and "append"
and a "replace" option. Furthermore, the speed of
-mm_insheet()- and -mm_infile()- has been much
improved, and the functions now support reading a
specific range of the file.
o New -mm_freq()- function
-mm_freq()- returns the frequency counts of the
"levels" (distinct values) of a data vector. That
is, -mm_freq()- computes the frequency distribution.
o New -mm_cut()- function
-mm_cut()- may be used to categorize the values of
a data vector according to supplied cutting points.
o New -mm_posof()- function
-mm_posof(<haystack>, <needle>)- returns the position
of element <needle> in vector <haystack>, or 0 if
<needle> does not occur.
o New functions: -mm_unorder2()-, -mm_jumble2()-, and
-mm__jumble2()-
Official -unorder()-, -jumble()- and -_jumble()-
may return irreproducible results if n is very large.
-mm_unorder2()-, -mm_jumble2()- and -mm__jumble2()-
are improved version of these functions producing more
stable results.
o New functions: -mm_rbinomial()- and -mm_cebinomial()-
-mm_rbinomial()- generates binomial distributed random
numbers. -mm_cebinomial()- returns the expected value
of a truncated binomial random variable.
o The code of -mm_relrank()- and -mm_ecdf()- has been
slightly improved.
Installation instructions for people *without* direct
access to the SSC Archive from within Stata:
1. Download "moremata.zip" from
http://fmwww.bc.edu/repec/bocode/m/moremata.zip
2. Unzip "moremata.zip" into a temporary directory on
your hard disk (e.g. c:\temp).
3. Start Stata and type -net from c:\temp- or wherever
you unzipped the files.
4. Type -net install moremata, replace-.
ben
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
