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📄 greg1b.gss

📁 gauss 离散型计量估计源代码,直接下载下来就可以使用
💻 GSS
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/*
*************************************************************************
*   (C) Copyright 1999, Peter Lenk. All Rights Reserved.
*   GREG1.GSS
*	Generates data for linear regression
*************************************************************************
*/
new;
nobs	= 100;		@ number of observations 			@
@ Define true regression parametes @
betat 	= { .5,
			2.5
		   };
		@ Enter vector or matrices by rows, separated by commas 				@
sigmat	= 4;						@ true error std							@
rankx = rows(betat);				@ rows(x) = number of rows for x 			@
xdim	= rankx-1;				@ number of dependent variables 			@
xnames	= 0 $+ "X" $+ ftocv(seqa(1,1,xdim),1,0);
	@ Makes a character string that is X1, X2, ... @
ynames	= "Y";
xynames = xnames|ynames;



xdata	= rndn(nobs,xdim);			@ rndn -> N(0,1) random numbers				@
xmat	= ones(nobs,1)~xdata;		@ design matrix								@
									@ ~  pastes two matrics side-by-side		@

@ Generate depenent observations @
ydata	= xmat*betat + sigmat*rndn(nobs,1);
			@ rndn(r,c) generates a r x c matric of N(0,1) random deviates 		@

xydata	= xdata~ydata;

/*
**************************************************************************
* Create a Gauss file.  f1 is the file handle.  
* The Gauss file will be called "XYDATA."       
* The column will be named by the strings in the character array xyname.  
* ^xyname means use the names in the character string.	
* 0, 8 gives double precision real numbers.			
**************************************************************************
*/
create f1 = xydata with ^xynames, 0, 8;
/*
**************************************************************************
* Next read data into the Gauss file by using the writer command.	
* f1 is the file handle defined in previous command.			
* xydata is the data matrix that we just created.			
* writer returns the number of rows read to f1.			
* If it is not rows(xydata), something bad happended.		
**************************************************************************
*/
if writer(f1,xydata) /= rows(xydata);
		errorlog "Conversion of XYDATA to Gauss File did not work";
endif;
closeall f1;


@ Plot Y versus X_i @
_plctrl 	= -1;					@ Plot symbols and no lines 				@
for i0 (1,xdim,1); i = i0;
	title(ynames $+ " versus " $+ xnames[i]);
	xy(xdata[.,i],ydata);			@ Plot y versus x_i 						@
endfor;
graphset;							@ Return to default graphs					@

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