readme.txt

This is matlab sourcecode for measuring gaussian

15 GAUSS Functions programmed in MATLAB        16/02/98
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Prepared by:
Dr Anne-Sophie Vanroyen
Research Fellow
FERC, City University Business School
Frobisher Crescent, The Barbican 
London EC2Y 8HB, UK 


e-mail: [e-mail]
http://www.city.ac.uk/cubs/ferc/anneso/index.html

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MATLAB Version: 5.2.0.3084

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The archive GAUSS.ZIP contains 15 simple functions that replicate
the ones bearing the same name in GAUSS. They should be of 
use to former GAUSS users who wish to apply GAUSS-like data
transformation functions (e.g. coding variables, creating dummies..)
in MATLAB.
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CODE.M		creates a new variable coded with different values depending upon 
			which one of a set of logical expressions is true.

COUNTS.M	counts the number of elements of a matrix that fall within prespecified categories

DELIF.M		deletes rows of a matrix based on whether a logical expression is true (=1)

DESIGN.M	creates a matrix of 0's and 1's from a column vector of numbers specifying 
			the columns in which the 1's are located

DUMMY.M		creates a set of dummy variables by breaking a variable into specified categories

DUMMYBR.M	similar to dummy.M but with the highest category being unbounded to the right

DUMMYDN.M	similar to dummy.M but specifies that one of the dummy variables is excluded, 
			so as to avoid colinearity with a vector of ones

MISS.M		converts specified elements in a matrix to the MATLAB missing value code (NaN)

MISSEX.M	converts values to the missing value code NaN according to the values 
			given in a logical expression.

PACKR.M		deletes all the rows of a matrix that contain the MATLAB missing value code

RECSERP.M	constructs recursive time series

RECSERAR.M	constructs recursive time series (based on products)

REV.M 		reverses the rows of a matrix

ROWS.M		returns the number of rows in a matrix

SELIF.M     selects rows of a matrix based on whether a logical expression is true (=1)