?? plot_wcov.m
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function [haxes] = plot_wcov(wcov, CI_wcov, title_str, ylabel_str, LineSpec, ... axesProp, level_range, plotOpts)% plot_wcov -- Plot the wavelet covariance and confidence intervals.%%****f* wmtsa.dwt/plot_wcov%% NAME% plot_wcov -- Plot the wavelet covariance and confidence intervals.%% SYNOPSIS% [haxes] = plot_wvcov(wcov, [CI_wvar], [title_str], [ylabel_str], [LineSpec], ...% [axesProp], [level_range], [plotOpts])%%% INPUTS% wcov = vector containing wavelet covariance for J levels.% CI_wcov = (optional) Jx2 matrix containing confidence intervals of wcov,% lower bound (column 1) and upper bound (column 2)% title_str = (optional) character string containing title for the plot.% ylabel_str = (optional) character string containing first line of ylabel for plot.% LineSpec = (optional) character string containing LineSpec (see plot).% axesProp = (optional) structure containing name-value pairs of axes% properties to override (see axes).% level_range = (optional) number or range of numbers indicating subset of% levels (j's) to plot.% plotOpts = (optional) structure containing plot options (unused at present).%% OUTPUTS% haxes = handle to axes of wavelet covariance plot.%% SIDE EFFECTS% %% DESCRIPTION% plot_wcov plots the wavelet covariance and optionally confidence intervals% on a semilog y-axes as a function of level. By default, the wavelet% variance is plotted for range of levels from 0 to max(level) rounded% up to next even number. Use axesProp.XLim to change the limits% for range of levels to plot.%% EXAMPLE% [WJ0t_x, VJ0t_x] = modwt(X, 'la8', 6, 'reflection')% [WJ0t_y, VJ0t_y] = modwt(Y, 'la8', 6, 'reflection')% [wcov, CI_wcov] = modwt_wcov(WJt_x, WJt_y)% axesProp.XLim = [0, 10]% plot_wvar(wvar, CI_wvar, 'Wavelet Variance', 'w', '', axesProp)%% NOTES%%% SEE ALSO% modwt_wcov%% TOOLBOX% wmtsa/plotutils%% CATEGORY% WMTSA Plotting: Wavelet Coariance%% AUTHOR% Charlie Cornish%% CREATION DATE% 2003/04/24%% COPYRIGHT%%% CREDITS%%% REVISION% $Revision: 612 $%%***% $Id: plot_wcov.m 612 2005-10-28 21:42:24Z ccornish $ usage_str = ['Usage: [haxes] = ', mfilename, ... 'plot_wvcov(wcov, [CI_wvar], [title_str], [ylabel_str], [LineSpec], ', ... '[axesProp], [level_range], [plotOpts])']; %% Check input arguments and set defaults. error(nargerr(mfilename, nargin, [1:8], nargout, [0:1], 1, usage_str, 'struct')); % Check arguments plot_ci = 0; if (nargin > 1) if (exist('CI_wcov', 'var') && ~isempty(CI_wcov)) plot_ci = 1; end end if (~exist('LineSpec', 'var') || isempty(LineSpec)) LineSpec = 'r'; ci_LineSpec = 'k--'; end J = length(wcov); if (exist('level_range', 'var') && ~isempty(level_range)) nlevels = length(level_range); x_axis = level_range; else nlevels = J; x_axis = (1:1:nlevels); level_range = x_axis; end % Plot the wavelet covariance hline = plot(x_axis, wcov, LineSpec); % Plot the wavelet variance confidence intervals if (plot_ci) hold on; if (~exist('ci_LineSpec', 'var')) Color = get(hline, 'Color'); LineStyle = '--'; plot(x_axis(level_range), CI_wcov(level_range,1), ... 'Color', Color, 'LineStyle', LineStyle); plot(x_axis(level_range), CI_wcov(level_range,2), ... 'Color', Color, 'LineStyle', LineStyle); else plot(x_axis(level_range), CI_wcov(level_range,1), ci_LineSpec); plot(x_axis(level_range), CI_wcov(level_range,2), ci_LineSpec); end end ha = gca; xmin = 0; xmax = max(x_axis); if (mod(xmax,2) == 1) xmax = xmax + 1; end set(ha, 'XLim', [xmin, xmax]); xmin = 0; xmax = max(x_axis); if (mod(xmax,2) == 1) xmax = xmax + 1; end set(ha, 'XLim', [xmin, xmax]); htext_xlabel = xlabel('level'); if (exist('axesProp', 'var') && ~isempty(axesProp)) ha = set_axes_prop(ha, axesProp); end htext = xlabel('level'); default_ylabel_str = 'wavelet covariance'; if exist('ylabel_str', 'var') ylabel_str2 = ylabel_str; else ylabel_str2 = default_ylabel_str; end ylabel(ylabel_str2); if exist('title_str', 'var') title(title_str); end if (nargout > 0) haxes = ha; end return
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