lyngby_log

PURPOSE

SYNOPSIS

DESCRIPTION

 lyngby_log           - Log

        function lyngby_log(String)

        Input:        String                String to be logged

        Global:        UIHANDLE_LOG        Uicontrol that displays the string
               LOGFILENAME     Log filename

       lyngby_log writes a string either in a uicontrol, to a file
       or with the 'disp' command. If UIHANDLE_LOG is defined it will
       be used as the uicontrol. If it is not defined and LOGFILENAME
       is defined the string will be written to the file, else the
       string will be display with matlab's 'disp' command.
       If LOGFILENAME is defined but not a string nothing will be
       written.

       Example:
         lyngby_log('lyngby_log.m called')

       See also: LYNGBY, LYNGBY_UI_MAIN, LYNGBY_UI_MESSAGE.

 $Id: lyngby_log.m,v 1.4 2002/11/20 10:40:56 fnielsen Exp $

CROSS-REFERENCE INFORMATION

• lyngby_baf2_main lyngby_baf2_main - Ardekani's F-test with nuisance estimation
• lyngby_baf2_test lyngby_baf2_test - Barbak Ardekani's F-test with nuisance estimation
• lyngby_baf_test lyngby_baf_test - Barbak Ardekani's F-test
• lyngby_bat_test lyngby_bat_test - t-test using the Ardekani t-method
• lyngby_batch_cons lyngby_batch_cons - Batch for consensus modeling
• lyngby_batch_fir lyngby_batch_fir - Batch for singular value decomposition
• lyngby_cva lyngby_cva - Canonical variate analysis (Canonical Ridge)
• lyngby_efir_main lyngby_efir_main - Main exhautive FIR function
• lyngby_fir_convolve lyngby_fir_convolve - Convolve the FIR kernel with the input
• lyngby_fir_main lyngby_fir_main - Regularized FIR filter, main function
• lyngby_fir_regmatrix lyngby_fir_regmatrix - Construct regularization matrix
• lyngby_getdata lyngby_getdata - Returns the masked datamatrix
• lyngby_ikm_main lyngby_ikm_main - Iterative K-means clustering
• lyngby_km_main lyngby_km_main - Main function for K-means clustering
• lyngby_ks_main lyngby_ks_main - Kolmogorov Smirnov test
• lyngby_lzgs_main lyngby_lzgs_main - Lange-Zeger model with grid search
• lyngby_lzit_main lyngby_lzit_main - Main function for Lange-Zeger estimation
• lyngby_nn_cmain lyngby_nn_cmain - Main functions for classifier neural network
• lyngby_nn_emain lyngby_nn_emain - Main function for Entropic Neural network
• lyngby_nn_qmain lyngby_nn_qmain - Main function for quadratic neural network
• lyngby_nnr_main lyngby_nnr_main - Main function for Neural network Regression
• lyngby_nns_esalmap lyngby_nns_esalmap - Saliency map with entropic cost function
• lyngby_nns_main lyngby_nns_main - Main function for Neural network saliency
• lyngby_normalize lyngby_normalize - Normalize (Preprocess) a datamatrix
• lyngby_opls lyngby_opls - Orthonormalized PLS
• lyngby_pois_main lyngby_pois_main - Main function for Possion filter
• lyngby_sopressvd lyngby_sopressvd - SOP with SVD on the residual
• lyngby_svd lyngby_svd - Singular value decomposition
• lyngby_test_fishersg lyngby_test_fishersg - Test with Fisher's g
• lyngby_ts_main lyngby_ts_main - Whole volume Student's t-test for equal variances.
• lyngby_ui_baf2_init lyngby_ui_baf2_init - Ardekani's nuisance F-test, init. of param.
• lyngby_ui_cons_init lyngby_ui_cons_init - Initialization for Consensus modeling
• lyngby_ui_externals lyngby_ui_externals - Window for editing/creating external
• lyngby_ui_fir_init lyngby_ui_fir_init - User interface for FIR filter analysis
• lyngby_ui_ikm_init lyngby_ui_ikm_init - GUI for Iterative K-means initialization
• lyngby_ui_km_init lyngby_ui_km_init - GUI for K-means parameter initialization
• lyngby_ui_loadfile lyngby_ui_loadfile - Opens a window for specifying file parameters
• lyngby_ui_lzit_init lyngby_ui_lzit_init - GUI for iterative Lange-Zeger initialization
• lyngby_ui_main lyngby_ui_main - Main function for the GUI for lyngby
• lyngby_ui_mkm_init lyngby_ui_mkm_init - GUI for Meta K-means initialization
• lyngby_ui_movie lyngby_ui_movie - User interface for movie
• lyngby_ui_nnr_init lyngby_ui_nnr_init - User interface for NNR method
• lyngby_ui_nns_init lyngby_ui_nns_init - GUI for Neural network saliency
• lyngby_ui_pois_init lyngby_ui_pois_init - GUI, Poisson filter, initialization
• lyngby_ui_preproc_detrend lyngby_ui_preproc_detrend - UI for setting up preprocessing parameters
• lyngby_ui_preproc_normalize lyngby_ui_preproc_normalize - UI for setting up preprocessing parameters
• lyngby_ui_saveresult lyngby_ui_saveresult - Opens a window for specifying file parameters.
• lyngby_ui_scva_init lyngby_ui_scva_init - GUI for init of Strother CVA
• lyngby_ui_view lyngby_ui_view - User interface for viewing results
• lyngby_ui_view_nns lyngby_ui_view_nns - Viewing of NNS results
• lyngby_ui_voxelmask lyngby_ui_voxelmask - User interface for voxelmask editing
• lyngby_uis_cc_v lyngby_uis_cc_v - Script for cross-correlation view
• lyngby_uis_cons_v lyngby_uis_cons_v - Script for Consensus viewing
• lyngby_uis_efir lyngby_uis_efir - Script executed at the EFIR analysis
• lyngby_uis_efir_v lyngby_uis_efir_v - Script for 'exhaustive FIR' viewing
• lyngby_uis_fir lyngby_uis_fir - Script executed at the FIR analysis
• lyngby_uis_fir_v lyngby_uis_fir_v - Script for FIR view
• lyngby_uis_ica_v lyngby_uis_ica_v - Script for ICA view
• lyngby_uis_ikm_v lyngby_uis_ikm_v - Script for Iterative K-means view
• lyngby_uis_km_v lyngby_uis_km_v - Script for K-means view
• lyngby_uis_lzgs_v lyngby_uis_lzgs_v - Script for Lange-Zeger gridsearch view
• lyngby_uis_lzit_v lyngby_uis_lzit_v - Script for Lange-Zeger 'iterative' view
• lyngby_uis_mkm_v lyngby_uis_mkm_v - Script for Meta K-means viewing
• lyngby_xcorr lyngby_xcorr - Cross correlation/covariance