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tadd general histograms with quartiles - cosmo - front and backend for Markov-C… |
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git clone git://src.adamsgaard.dk/cosmo |
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README |
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LICENSE |
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--- |
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commit dab7ed7cd53163e444bc2f8d5310ac1b4a2b36d3 |
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parent 6728f85140437a9c1e2020adbc0d5899e748655d |
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Author: Anders Damsgaard <[email protected]> |
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Date: Mon, 9 Nov 2015 13:56:15 +0100 |
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add general histograms with quartiles |
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Diffstat: |
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M index.php | 40 +++++++++++++++++++++++++++++… |
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M matlab/generate_plots.m | 20 +++++++++++++++++--- |
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2 files changed, 57 insertions(+), 3 deletions(-) |
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--- |
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diff --git a/index.php b/index.php |
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t@@ -76,6 +76,46 @@ if (isset($_GET['wait_id']) && !empty($_GET['wait_id'])) { |
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<div class="card"> |
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<div class="card-image"> |
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<img src="output/<?php |
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+ echo($_GET['results_id']); ?>_Walks-7.png"> |
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+ <span class="card-title blue-text text-darken-2"> |
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+ Generalized model parameter values</span> |
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+ </div> |
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+ <div class="card-content"> |
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+ <p>The histograms show the distribution of (a) |
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+ interglacial erosion rate, (b) glacial erosion rate, (c) |
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+ timing of last deglaciation, and (d) |
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+ d<sup>18</sup>O<sub>threshold</sub> levels that provide |
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+ the best fit to the supplied TCN concentrations. |
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+ The vertical axis indicates the number of |
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+ simulations included in each bin out of the 10,000 |
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+ simulations that followed the MCMC burn-in phase from ea… |
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+ MCMC walker. The solid magenta lines denote the median |
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+ values (second quartile), while the dashed magenta lines |
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+ denote the lower and upper quartiles (25th and 75th |
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+ percentiles, respectively).</p> |
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+ </div> |
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+ <div class="card-action"> |
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+ <a href="output/<?php |
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+ echo($_GET['results_id']); ?>_Walks-7.png" |
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+ target="_blank">Link to PNG</a> |
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+ <a href="output/<?php |
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+ echo($_GET['results_id']); ?>_Walks-7.pdf" |
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+ target="_blank">Link to PDF</a> |
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+ <a href="output/<?php |
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+ echo($_GET['results_id']); ?>_Walks-7.fig" |
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+ target="_blank">Link to FIG</a> |
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+ </div> |
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+ </div> |
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+ </div> |
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+ </div> |
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+ |
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+ |
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+ <div class="row"> |
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+ <!--<div class="col s12 m8 offset-m2">--> |
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+ <div class="col s12 m10 offset-m1"> |
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+ <div class="card"> |
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+ <div class="card-image"> |
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+ <img src="output/<?php |
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echo($_GET['results_id']); ?>_Walks-5.png"> |
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<span class="card-title blue-text text-darken-2"> |
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Model parameter values per inversion walker</span> |
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diff --git a/matlab/generate_plots.m b/matlab/generate_plots.m |
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t@@ -210,7 +210,7 @@ for i1 = 1:M % for each model parameter |
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subplot(M,Nwalkers,isub) |
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%Nhistc=histc(Ss{iwalk}.ms(i1,:),xbins{i1}); |
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%bar(xbins{i1},Nhistc,'histc') |
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- histogram(Ss{iwalk}.ms(i1,:), xbins{i1}, 'Normalization', 'probability'); |
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+ histogram(Ss{iwalk}.ms(i1,:), xbins{i1}); |
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if i1 == 1 |
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title(['MCMC walker ' num2str(iwalk)]) |
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t@@ -329,12 +329,26 @@ for i1 = 1:M % for each model parameter |
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for iwalker=1:Nwalkers |
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data = [data, Ss{iwalker}.ms(i1,:)]; |
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end |
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- Nhistc=histc(data, xbins{i1}); |
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- bar(xbins{i1},Nhistc,'histc') |
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+ |
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+ hold on |
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+ %Nhistc=histc(data, xbins{i1}); |
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+ %bar(xbins{i1},Nhistc,'histc') |
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+ histogram(data, xbins{i1}); |
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+ % 2nd quartile = median = 50th percentile |
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med = median(data); |
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plot([med, med], get(gca,'YLim'), 'm-') |
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+ % 1st quartile = 25th percentile |
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+ prctile25 = prctile(data, 25); |
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+ plot([prctile25, prctile25], get(gca,'YLim'), 'm--') |
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+ |
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+ % 3rd quartile = 75th percentile |
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+ prctile75 = prctile(data, 75); |
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+ plot([prctile75, prctile75], get(gca,'YLim'), 'm--') |
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+ |
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+ hold off |
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+ |
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if i1 == 1 |
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xlabel('Interglacial erosion rate [mm/yr]') |
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text(0.02,0.98,'a', 'Units', ... |
