Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

wardcont - wavetest - wtsder
wardcont performes Ward's hierarchical cluster analysis of the rows as well as of the columns of a contingency table including the multivariate graphic using the correspondence analysis; makes available the factorial coordinates of the row points and column points (scores)
warning warning enables the user to send warning messages out of macros. There are displayed when the whole program finishes.

waveint1b Shows the mother wavelet for a given basis. In the picture of the first row the function is shown. Below, in the second row, the mother wavelet coefficients are shown. For each level in a horizontal line are vertical lines plotted. The length of the vertical line depends on the size of the wavelet coefficient.
waveint2b Shows the mother wavelet for a given basis. In the picture of the first row the function is shown. Below, in the second row, the coeffients are drawn as circles in one line for each level. The absolute size is indicated by the radius of the circle. If the circle is red the coefficient is used in the approximation, otherwise the circle is blue.
waveint3b Shows the mother wavelet for a given basis. In the picture of the first row the function is shown. Below, in the second row, the coeffients are drawn as vertical lines. All coefficients are ordered by absolute size. Just one quarter of all coefficients is drawn.
waveint4b Shows the mother wavelet for a given basis. In the picture of the first row the function is shown. Below, in the second row, we see as lowest function the approximation with only using the father wavelet coefficients. Then we add the first level of mother wavelet coefficients to the approximation, then the first and the second level and so on.
waveint5b Shows the wavelet coefficients for a given basis. In the picture of the first row the bivariate image is shown. Below, in the second row, we see the 32 absolute largest father/mother coeffients ordered by size.
waveletmain Generates global objects which contain the wavelet coefficients
wavelettest tests all noninteractive quantlets of wavelet.lib
wavesmo Generates smoothed mother wavelet coeffients and the resulting estimate. x contains the vector of data and l gives the number of father wavelet coefficient (power of 2). h is the vector of wavelet basis coeffients (automatically generated by calling the quantlib wavelet). s contains the threshold values, either one for all mother wavelet coefficients or for each level. Set tt=0 for hard thresholding and tt=1 for soft thresholding.
wavetest Additive component analysis in additive separable models using wavelet estimation. The first (additive) component is tested against a given polynomial form of degree p, e.g., if p=1 is to test linearity, p=0 is to test for significant influence of the first component at all etc. For details see Haerdle, Sperlich, Spokoiny (1997), DP 52, SFB 373 Berlin.
weidist1 transforms weights in distances (\delta^{(2)})
weidist2 transforms weights in distances (\delta^{(2)})
weidist3 transforms weights in distances
weinit initializes the weights of a neural network
while while begins a loop if the first element of the argument is true. while has to be followed by an endo.

write write writes an array into a file.
writecomponent internal routine for writelist
writelist Writes a composed object as ASCII data to a set of files. All elements of the composed object have to be numerical matrices or textvectors !
wtsder computes the weights for derivative estimation for the use with the quatric kernel in the context of binning

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

(C) MD*TECH Method and Data Technologies, 21.9.2000