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.
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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 macros 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 he library 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. An additive component can be tested against a given polynomial form with degree p, e.g. when p is set to zero we test for significant influence of that component. For details see Haerdle, Sperlich, Spokoiny (1997). |
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.
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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 |