text stringlengths 0 538k |
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*! 1.2.1 NJC 1 March 2012
*! 1.2.0 NJC 15 September 2008
* 1.1.1 GML NJC 26 February 2002
* 1.1.0 GML NJC 25 February 2002
* 1.0.0 21 November 2001
program distinct, rclass sortpreserve byable(recall)
version 8.0
syntax [varlist] [if] [in] [, MISSing Abbrev(int -1) Joint ///
MINimum(int 0) MAXimum(int -1) ]... |
** Downloaded from http://blogs.worldbank.org/impactevaluations/tools-of-the-trade-doing-stratified-randomization-with-uneven-numbers-in-some-strata
* Example code by Mirian Bruhm and David McKenzie
# delimit ;
*clear all; //EDIT: moved to calling routine
*cap log close;
*set mem 200m;
*use BlogStrataExample.dta, cle... |
sysdir set PERSONAL "../../"
global S_ADO "PERSONAL;BASE;."
clear_all, closealllogs
log using "test.log", replace name(test)
version 13
local init_seed 467 //from exampleofstratifying
set seed `init_seed'
local ngroups 6
local strat_vars = "variableA variableB variableC variableD"
local ttypes = "obalance reduction f... |
*Notes:
* If you want the trace log from the optimizer from synth run it in batch mode and on Windwos it
* creates a 'temp' file.
*Todo:
*On linux, -synth, nested- it eats up all the memory. This didn't seem to be reported by -memory-.
cap log close _all
log using "test.internal.log", replace name(test)
clear all
sy... |
*! version 1.0 Brian Quistorff <bquistorff@gmail.com>
*! usepackage_simple.ado -- Stata module to download and install user packages necessary to run a do-file
*! include the net(loc) option if you want to install the package from non-SSC sources (the default)
*! A simplified version... |
*! version 1.2 Brian Quistorff <bquistorff@gmail.com>
*! Auto wraps a long line to broken up ones (that graph commands turn into different lines)
*! Wrapped has the "" quotes to separate lines
*! Usage:
*! wrap_text , unwrappedtext(`longtext') wrapped_out_loc(wrapped)
*! twoway ..., note(`wrapped')
* With simple testi... |
*! version 0.3 bquistorff@gmail.com
*! Writes out a string to a file
*! LaTeX automatically adds an extra space after \input (cf http://tex.stackexchange.com/questions/18017/)
*! Use rm_final_space_tex if you don't want this
*! (e.g. you're inserting numbers and a symbol should immediately follow)
program writeout_txt... |
*===============================================================================
* PROGRAM: regressby.ado
* PURPOSE: Performs fast grouped univariate OLS regressions.
* The following commands are equivalent:
* regressby y x, by(byvars)
* statsby, by(byvars) clear: reg y x
* Except regressby will run... |
cd C:\Users\Mike\Documents\Github\stata-modern
cap mkdir figs
*-------------------------------------------------------------------------------
* Fig 1: Histograms
*-------------------------------------------------------------------------------
sysuse nlsw88, clear
set scheme s2color
histogram wage, title("Histogram... |
capture program drop knit
program define knit
args in
_knit_with_code_tags "`in'"
_make_code_blocks "`in'"
end
capture program drop _knit_with_code_tags
program define _knit_with_code_tags
args in
set more off
file open f using "`in'", read
local out = subinstr("`in'", ".domd", ".md1", 1)
log using... |
This is the generate folder in [Fan](https://fanwangecon.github.io/)'s [Stata4Econ](https://fanwangecon.github.io/Stata4Econ/) repository. Materials gathered from various [projects](https://fanwangecon.github.io/research) in which STATA code is used. Please contact [FanWangEcon](https://fanwangecon.github.io/) for issu... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/REconTools
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/Tex4Econ
- http://... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/REconTools
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/Tex4Econ
- http://... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/REconTools
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/Tex4Econ
- http://... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/REconTools
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/Tex4Econ
- http://... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/REconTools
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/Tex4Econ
- http://... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
linear regression in Stata
|
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/REconTools
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/Tex4Ec... |
// do "C:\Users\fan\Stata4Econ\reglin\multipanel\allpurpose\allpurpose_prog.do"
// content file of allpurpose.do
/////////////////////////////////////////////////
///--- C. Define Regression Strings
/////////////////////////////////////////////////
foreach it_pan_ctr of numlist 1(1)$it_pan_cnt {
foreach it_col_ctr... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
Multi-Panel Regressions
|
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
cls
clear
macro drop _all
/*
Back to Fan's Stata4Econ or other repositories:
- http://fanwangecon.github.io
- http://fanwangecon.github.io/Stata4Econ
- http://fanwangecon.github.io/R4Econ
- http://fanwangecon.github.io/M4Econ
- http://fanwangecon.github.io/CodeDynaAsset/
- http://fanwangecon.github.io/Ma... |
/*
statapush: Stata module for sending push notifications
Authors: William L. Schpero and Vikram Jambulapati
Contact: william.schpero@yale.edu
Date: 060516
Version: 3.0
*/
capture program drop statapush
program define statapush
version 12.1
syntax [using/], Message(string) [Token(string) Userid(string)] [Attac... |
/*
statapushpref: Stata module to save preferences for statapush
Authors: William L. Schpero and Vikram Jambulapati
Contact: william.schpero@yale.edu
Date: 022016
Version: 1.0
*/
capture program drop statapushpref
program define statapushpref
version 12.1
syntax, Token(string) Userid(string) Provider(string)
... |
tempname fout
file open `fout' using "mystanmodel.stan", write replace
#delimit ;
foreach line in
"data {"
" int N;"
" real x[N];"
"}"
"parameters{"
" real mu;"
"}"
{;
#delimit cr
file write `fout' "`line'" _n
}
file close `fout'
//stan ...
|
capture program drop inline
program define inline
syntax , MODELfile(string) [THISfile(string)]
// what if modelfile already exists? should there be a replace suboption?
tempname fin
local tdir=c(tmpdir)
// fetch temp do-file copy if no thisfile has been named
if "`thisfile'"=="" {
tempname lsin
if "$S_OS"=="windows... |
capture program drop rdump
program define rdump
version 11.0
syntax [, Rfile(string) Matrices(string) Globals(string) REPlace]
// set default file name
if "`rfile'"=="" {
local rfile="R_in.R"
}
// check whether rfile exists already
capture confirm file "`rfile'"
if !_rc & "`replace'"=="" {
display as error "`rfile... |
// Bernoulli example:
// replace with your cmdstan folder's path
global cmdstandir "/root/cmdstan/cmdstan-2.6.2"
// here we present four different ways of combining the Stan model with your do-file
//##############################################
// Version 1: write a separate model file
/* For this example, we ca... |
capture program drop stan
program define stan
version 11.0
syntax varlist [if] [in] [, DATAfile(string) MODELfile(string) ///
INLINE THISFILE(string) RERUN ///
INITsfile(string) LOAD DIAGnose OUTPUTfile(string) MODESFILE(string) ///
CHAINFile(string) WINLOGfile(string) SEED(integer -1) CHAINS(integer 1) ///
WARMUP... |
capture program drop windowsmonitor
program define windowsmonitor
version 11.0
syntax ,COMMAND(string asis) [ WINLOGfile(string asis) waitsecs(integer 10) ]
// stop if operating system is not Windows
if lower("$S_OS")!="windows" {
dis as error "windowsmonitor can only run under a Windows operating system"
error 60... |
version 14.0
capture program drop stan_schools
program define stan_schools
syntax varlist [if] [in] [, MODELfile(string asis) ///
Clusterid(varname) ///
RSlopes(varlist) ///
GLOBALS(string asis) ///
BETAPriors(string asis) ///
HETvar(varname) ///
THETAPrior(string asis) ... |
cd "C:\Users\RLGrant\Dropbox\Software\StataStan\stan_examples"
use "schools.dta", clear
qui tab school
global M=r(r)
qui count
global N=r(N)
stan_schools Y VR1 VR2 Gender LRT, rslopes(denom2 denom3 sgender) ///
globals("N M") clusterid(school) ///
stanopts(cmd("C:/Users/RLGrant/cmdstan-2.6.2"))
|
// uncomment if Stata-SVM is not installed to the system
adopath ++ "../../src"
use classification_bug
// training which does the wrong thing
svm category q*, prob
// tuning parameters pulled out of a hat from https://github.com/scikit-learn/scikit-learn/issues/4800
// which causes
//svm category q*, prob c(10) gam... |
* experimenting with building subcommands
* I want to the equivalent of python's "def wrap(a, *rest): if a == 1: one(*rest)", where the arguments are
* Unfortunately, the Stata quoting rules are more arcane than even bash's
* references: poor amounts of googling, Nick Cox, and cluster.ado and duplicates.ado in the base... |
sub x , o(7)
sub x using haphazard lolcats, in the everworld(8) of time(-1)
sub y , eighty
|
// usage: stata do stata_wrap.do $SCRIPT $LOG $RC
//
// Wraps $SCRIPT so that its output goes to $LOG and error code to $RC,
// and it ensures Stata comes down at the end even if there was an error.
// - it's an imperfect wrapper: $LOG ends up with header and footer cruft from 'log'
set linesize 119
* make all platfo... |
/* export_svmlight: export the Stata dataset to a .svmlight format file. See _svmlight.c */
program _svmlight, plugin /*load the C extension if not already loaded*/
program define export_svmlight
version 13
syntax varlist(numeric) [if] [in] using/
quietly {
capture plugin call _svmlight `varlist' `if' `i... |
/* import_svmlight: import an .svmlight format file, replacing the current Stata dataset. See _svmlight.c */
* The variables created will be 'y' and 'x%d' for %d=[1 through max(feature_id)].
* Feature IDs are always positive integers, in svmlight format, according to its source code.
* TODO: rename to svm_use and fig... |
/* svmachines: the entry point to the support vector fitting algorithm */
program define svmachines
*! version 1.1.0
version 13
//plugin call does not handle factor variables.
// xi can pre-expand factors into indicator columns and then evaluate some code.
// However xi interacts badly with "plugin call"; j... |
/* svmacines_example: download and run the requested sample code from the svmachines package */
/* */
/* To use this with a different package, just replace every "svmachines". */
program define svmachines_examp... |
/* svm_ensurelib: at runtime, make sure libsvm is available and loadable */
/* This would be ensurelib.ado, but for packaging safety, because Stata
has no sensible way of protecting against namespace conflicts, this
gets the same prefix as the rest of the package.
If you want to use ensureli... |
/* svm_predict: after fitting an SVM model with svm, construct predicted classes/values (depending on the type of the active SVM) */
/* load the C extension */
svm_ensurelib // check for libsvm
program _svmachines, plugin // load the wrapper for libsvm
program define svm_predict, eclass
version 13
s... |
/* model2stata: a subroutine to convert the global struct svm_model that lives in the DLL to a mixture of e() entries, variables, and matrices.
*
* Besides being usefully modular, this *must* be its own subroutine because it needs to be marked eclass.
* This is because, due to limitations in the Stata C API, there h... |
/* _svm_train: this is the meat of the Stata interface to the fitting algorithm.
This is called by svm_train; though Stata programs can call subprograms defined in the same file as them,
similar to Matlab, this has to be a separate file as the special command 'xi' used there apparently cannot
*/
/* load the C e... |
// Setup
sysuse auto
// Machine learning methods like SVM are very easy to overfit.
// To compensate, it is important to split data into training and testing sets, fit on
// the former and measure performance on the latter, so that performance measurements
// are not artificially inflated by data they've already seen.... |
// Setup
use attitude_indicators
// Shuffle
set seed 12998
gen u = uniform()
sort u
// Train/test split
local split = floor(_N*3/4)
local train = "1/`=`split'-1'"
local test = "`split'/`=_N'"
// Model
svmachines attitude q* in `train', kernel(poly) gamma(0.5) coef0(7) prob
predict P in `test', prob
// the value in ... |
// Setup
use attitude_indicators
// Shuffle
set seed 4532
gen u = uniform()
sort u
// Train/test split
local split = floor(_N*3/4)
local train = "1/`=`split'-1'"
local test = "`split'/`=_N'"
// In general, you need to do grid-search to find good tuning parameters.
// These values of kernel, gamma, and coef0 just hap... |
// Setup
webuse highschool
// Shuffle
set seed 793742
gen u = uniform()
sort u
// Train/test split
local split = floor(_N/2)
local train = "1/`=`split'-1'"
local test = "`split'/`=_N'"
// Regression is invoked with type(svr) or type(nu_svr).
// Notice that you can expand factors (categorical predictors) into sets of... |
/* export_svmlight: export the Stata dataset to a .svmlight format file. See _svmlight.c */
program _svmlight, plugin /*load the C extension if not already loaded*/
program define export_svmlight
version 13
syntax varlist(numeric) [if] [in] using/
quietly {
capture plugin call _svmlight `varlist' `if' `i... |
/* import_svmlight: import an .svmlight format file, replacing the current Stata dataset. See _svmlight.c */
* The variables created will be 'y' and 'x%d' for %d=[1 through max(feature_id)].
* Feature IDs are always positive integers, in svmlight format, according to its source code.
* TODO: rename to svm_use and fig... |
/* svmachines: the entry point to the support vector fitting algorithm */
program define svmachines
*! version 1.1.0
version 13
//plugin call does not handle factor variables.
// xi can pre-expand factors into indicator columns and then evaluate some code.
// However xi interacts badly with "plugin call"; j... |
/* svmacines_example: download and run the requested sample code from the svmachines package */
/* */
/* To use this with a different package, just replace every "svmachines". */
program define svmachines_examp... |
/* svm_ensurelib: at runtime, make sure libsvm is available and loadable */
/* This would be ensurelib.ado, but for packaging safety, because Stata
has no sensible way of protecting against namespace conflicts, this
gets the same prefix as the rest of the package.
If you want to use ensureli... |
/* svm_predict: after fitting an SVM model with svm, construct predicted classes/values (depending on the type of the active SVM) */
/* load the C extension */
svm_ensurelib // check for libsvm
program _svmachines, plugin // load the wrapper for libsvm
program define svm_predict, eclass
version 13
s... |
/* model2stata: a subroutine to convert the global struct svm_model that lives in the DLL to a mixture of e() entries, variables, and matrices.
*
* Besides being usefully modular, this *must* be its own subroutine because it needs to be marked eclass.
* This is because, due to limitations in the Stata C API, there h... |
/* _svm_train: this is the meat of the Stata interface to the fitting algorithm.
This is called by svm_train; though Stata programs can call subprograms defined in the same file as them,
similar to Matlab, this has to be a separate file as the special command 'xi' used there apparently cannot
*/
/* load the C e... |
// Setup
sysuse auto
// Machine learning methods like SVM are very easy to overfit.
// To compensate, it is important to split data into training and testing sets, fit on
// the former and measure performance on the latter, so that performance measurements
// are not artificially inflated by data they've already seen.... |
// Setup
use attitude_indicators
// Shuffle
set seed 12998
gen u = uniform()
sort u
// Train/test split
local split = floor(_N*3/4)
local train = "1/`=`split'-1'"
local test = "`split'/`=_N'"
// Model
svmachines attitude q* in `train', kernel(poly) gamma(0.5) coef0(7) prob
predict P in `test', prob
// the value in ... |
// Setup
use attitude_indicators
// Shuffle
set seed 4532
gen u = uniform()
sort u
// Train/test split
local split = floor(_N*3/4)
local train = "1/`=`split'-1'"
local test = "`split'/`=_N'"
// In general, you need to do grid-search to find good tuning parameters.
// These values of kernel, gamma, and coef0 just hap... |
// Setup
webuse highschool
// Shuffle
set seed 793742
gen u = uniform()
sort u
// Train/test split
local split = floor(_N/2)
local train = "1/`=`split'-1'"
local test = "`split'/`=_N'"
// Regression is invoked with type(svr) or type(nu_svr).
// Notice that you can expand factors (categorical predictors) into sets of... |
program define clockseed
set seed `= mod(clock("$S_DATE $S_TIME","D M 20Y hms"),2^31)'
end
|
/* clone.ado: generate a perfect copy of a variable: type, labels, etc.
syntax:
clone newvar oldvar [if] [in]
You can use 'if' and 'in' to control what values; values that don't match will be set to missing.
If you want to clone a variable's metadata but not values use the idiom ". clone new old if 0".
NB: Th... |
/* cv: cross-validated predictions from any Stata estimation command.
*
* Breaks a dataset into a number of subsets ("folds"), and for each
* runs an estimator on everything but that subset, and predicts results.
* In this way, the fit is unbiased by the estimation process, because
* each prediction is made from d... |
/* ensurepkg: automagically install needed packages.
*
* syntax:
* ensureado cmd, [pkg(package_name) from(url)]
*
* cmd: to detect if the package is installed, look for either of "`cmd" and "`cmd'.ado" in the adopath.
* pkg: specify pkg explicitly if the command and package do not have the same name.
* from: i... |
// grid search for good SVM parameters
// by Matthias Schonlau
// enhanced to use cv.ado by Nick Guenther
//
// this is not a function because
// - it is technically difficult:
// - looping over ranges of arbitrary parameters is muddy (the sklearn GridSearch object has to take a dictionary of parameter->[set of valu... |
/* mlogit_predict: extract classifications from an mlogit model
* mlogit only gives probabilities. actually translating this to classes is hard.
*
*/
program define mlogit_predict
if("`e(cmd)'"!="mlogit") {
di as error "mlogit_predict must only be run after mlogit"
exit 1
}
gettoken target 0 : 0
... |
// Setup
pause on
sysuse nlsw88, clear
// This dataset has labour data: employment conditions crossed with demographic information.
// (for clarity, we cut the small amount of respondents which answered "other"
// and the few rows with missing data that svmachines cannot tolerate)
// (in a real analysis you should ha... |
clockseed
sysuse auto
svm foreign headroom gear_ratio weight, type(svc) gamma(0.4) c(51)
predict P
gen err = foreign != P
qui sum err
di "Training error rate: `r(mean)'"
drop P err
cv P svm foreign headroom gear_ratio weight, folds(`=floor(_N/5)') shuffle est(type(svc) gamma(0.4) c(51))
gen err = foreign != P
qui su... |
// ethyl acrylate data , Bates and Watts, A1.10
clear
import excel using "tests/ethyl.xlsx", firstrow
gen viscosity = exp(ln_viscosity)
set seed 100
gen u=uniform()
sort u
/////////////////////////////////////////////////////////////////////
local trainn=30
gen train= 0
replace train=1 if _n<=`trainn'
graph matri... |
* export_svmlight.do
sysuse auto
capture rm "tests/auto.svmlight"
// notice: auto contains a string variable and its class variable is last
// we explicitly rearrange them during the export stating the order of variables (Stata handles the indirection, hiding it from the plugin)
export_svmlight foreign price-gear_ratio... |
program _svm_getenv, plugin
plugin call _svm_getenv, PATH
di "_getenv=`_getenv'"
|
* loadplugin.do
* unconditionally unload the plugin
* this is only relevant if this do file is reused in the same session
capture program drop _svmachines
* load it!
program _svmachines, plugin
|
* export.do
sysuse auto
svmachines foreign price-gear_ratio if !missing(rep78) in 41/60 /*train on some of the data; this range is chosen to cover 10 each of each kind of car*/
predict P in 50/70 /* test, on both part of the training and part of the testing data */
* fill in the rest and observe the error rate
* Sta... |
* train.do
sysuse auto
drop make
order gear_ratio // gear_ratio is a floating point value, but it only lives between 2 and 4 in this dataset, so libsvm casts it to classes 2 and 3
svmachines * if !missing(rep78)
do tests/helpers/inspect_model.do
predict Q
list `e(depvar)' Q
|
* train.do
sysuse auto
drop make
order headroom // headroom is a floating point variable but comes in .5-increment levels
svmachines * if !missing(rep78), sv(SV)
list SV
do tests/helpers/inspect_model.do
predict Q
list `e(depvar)' Q
|
* predict_oneclass.do
sysuse auto
replace foreign = 3 if _n < 10
replace foreign = 4 if _n > 10 & _n < 20
svmachines price-gear_ratio if !missing(rep78), sv(SV) type(one_class)
predict P
list P*
|
* predict_oneclass_scores.do
sysuse auto
replace foreign = 3 if _n < 10
replace foreign = 4 if _n > 10 & _n < 20
svmachines price-gear_ratio if !missing(rep78), sv(SV) type(one_class)
predict P, scores
list P*
|
* export.do
sysuse auto
svmachines foreign price-gear_ratio if !missing(rep78), prob
capture noisily predict P, prob
capture noisily predict P2
list foreign P*
|
* predict_probability_strangelabels
* Ensure that the complicated labelling code buried in predict, prob behaves itself even when labels are shifted
* The final list should show that the probability columns are labelled with strings which mostly match what the actual values were.
sysuse auto
replace foreign = foreign+... |
* predict_scores.do
sysuse auto
svmachines foreign price-gear_ratio if !missing(rep78)
capture noisily predict P, scores
list foreign P*
|
* predict_scores_and_probability.do
sysuse auto
svmachines foreign price-gear_ratio if !missing(rep78), prob
predict P1, prob
predict P2, scores
capture noisily predict P3, prob scores
if(_rc == 0) {
di as err "prob and scores should be mutually exclusive options"
exit 1
}
list foreign P*
|
* predict_scores_multiclass
* like predict_scores, but this exercises the complicated triangular label matrix code by making sure there's more than one pair
sysuse auto
label define origin 2 "Dodge", add
label define origin 3 "Buick", add
replace foreign = 2 in 20/22
replace foreign = 3 in 4/10
svmachines foreign pri... |
* predict_svr.do
quietly do tests/train_svr.do
predict P in 50/70
predict P2
generate error = abs(price - P2) //notice: subtraction, not comparison, because we're regressing, not classifying
list price P P2 error
summarize error
|
* predict_svr_scores.do
quietly do tests/train_svr.do
predict P in 50/70 /* test, on both part of the training and part of the testing data */
predict P2, scores
list price P*
|
* preimport_svmlight.do
program _svmlight, plugin
plugin call _svmlight, "import" "pre" "tests/duke.svmlight"
scalar list
|
local mQQ : env QQ
di "First: mQQ=`mQQ'"
// the \$ quotes the $, because otherwise Stata, apparently, tries to interpret it
!echo And the shell says: \$QQ
program _svm_setenv, plugin
plugin call _svm_setenv, QQ "hello me hearties"
local mQQ : env QQ
di "After: mQQ=`mQQ'"
!echo And the shell says: \$QQ
|
* train.do
sysuse auto
svmachines foreign price-gear_ratio if !missing(rep78)
do tests/helpers/inspect_model.do
|
* train.do
sysuse auto
svmachines foreign price-gear_ratio if !missing(rep78), sv(SV)
list SV
do tests/helpers/inspect_model.do
|
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