www.gusucode.com > LTE仿真Matlab源码 > LTE_plot_confidence_intervals.m
function LTE_plot_confidence_intervals(SNR_vector, plot_color, figure_name,function_type,varargin) % Plots all the meaningful data from the results file % Michal Simko, msimko@nt.tuwien.ac.at % (c) 2009 by INTHFT % www.nt.tuwien.ac.at optargin = size(varargin,2); if optargin==1 data1 = varargin{1}; elseif optargin==2 data1 = varargin{1}; data2 = varargin{2}; else error('Wrong number of input variables'); end figure(figure_name) if strcmp('mean',function_type) for i=1:size(data1,2) temp = bootci(2000,{@mean, data1(:,i)},'alpha',0.05); T_min(i) = temp(1); T_max(i) = temp(2); end elseif strcmp('ber',function_type) ber_func = @(bit_error,nr_of_bits) sum(bit_error)/sum(nr_of_bits); for i=1:size(data1,2) temp = bootci(2000,{ber_func, data1(:,i),data2(:,i)},'alpha',0.05); T_min(i) = temp(1); if T_min(i) == 0 T_min(i) = eps; end T_max(i) = temp(2); end else error('wrong function type'); end for index = 1:length(SNR_vector) plot([SNR_vector(index) SNR_vector(index)], [T_min(index) T_max(index)],'Color',plot_color,'Markersize',5); plot(SNR_vector(index)+[-0.2 0.2], [T_min(index) T_min(index)],'Color',plot_color,'Markersize',5); plot(SNR_vector(index)+[-0.2 0.2], [T_max(index) T_max(index)],'Color',plot_color,'Markersize',5); end