As was shown by both @Jonas and @Itamar Katz, the idea is to use HISTC to get the bin indices that each sample belongs to, then use BAR to plot the result (note that we use the 'histc'
mode of display for the BAR function). My answer below is a variation of @Jonas's post:
[EDITED]
%# random data
a = [(1:30)' rand(30,1)]; %'#
%# compute edges (evenly divide range into bins)
nBins = 10;
edges = linspace(min(a(:,2)), max(a(:,2)), nBins+1);
%# compute center of bins (used as x-coord for labels)
bins = ( edges(1:end-1) + edges(2:end) ) / 2;
%# histc
[counts,binIdx] = histc(a(:,2), edges);
counts(end-1) = sum(counts(end-1:end)); %# combine last two bins
counts(end) = []; %#
binIdx(binIdx==nBins+1) = nBins; %# also fix the last bin index
%# plot histogram
bar(edges(1:end-1), counts, 'histc')
%#bar(bins, counts, 'hist') %# same thing
ylabel('Count'), xlabel('Bins')
%# format the axis
set(gca, 'FontSize',9, ...
'XLim',[edges(1) edges(end)], ... %# set x-limit to edges
'YLim',[0 2*max(counts)], ... %# expand ylimit to accommodate labels
'XTick',edges, ... %# set xticks on the bin edges
'XTickLabel',num2str(edges','%.2f')) %'# round to 2-digits
%# add the labels, vertically aligned on top of the bars
hTxt = zeros(nBins,1); %# store the handles
for b=1:nBins
hTxt(b) = text(bins(b), counts(b)+0.25, num2str(a(b==binIdx,1)), ...
'FontWeight','bold', 'FontSize',8, 'EdgeColor','red', ...
'VerticalAlignment','bottom', 'HorizontalAlignment','center');
end
%# set the y-limit according to the extent of the text
extnt = cell2mat( get(hTxt,'Extent') );
mx = max( extnt(:,2)+extnt(:,4) ); %# bottom+height
ylim([0 mx]);
If the ticks on the x-axis become too crowded, you can display them rotated with an angle using XTICKLABEL_ROTATE function (submission on FEX).
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