diff --git a/examples/2_int.txt b/examples/2_int.txt new file mode 100755 index 0000000..6974bb8 --- /dev/null +++ b/examples/2_int.txt @@ -0,0 +1 @@ +#integer index1 index2 state posterior prior likelihood meanRate treeModel.rootHeight yule.birthRate ac ag at cg gt alpha ucld.mean ucld.stdev invgauss.mean invgauss.stdev uced.mean index1 index2 coefficientOfVariation covariance treeLikelihood 0 -18107.89569 -3.103274957 -18104.79241 0.995012481 1.042483236 1 1 1 1 1 1 0.5 1 0.1 1 0.1 1 0 0 1.14E-16 0 -18104.79241 5000 -11757.363 9.058732767 -11766.42173 0.437609807 0.259702741 7.946768684 0.871757062 1.494334513 1 1 0.86359047 0.759619909 1 7.009709564 1 0.990338833 1 2 2 0.979716074 0.312268091 -11766.42173 10000 -11682.44755 6.439319035 -11688.88687 0.459478425 0.232491836 12.20413381 0.692399287 1.972248035 1 0.896848811 0.660939586 0.74068936 1 5.578327975 1 7.241430364 1 2 2 1.054847336 -0.165447669 -11688.88687 15000 -11652.15645 9.351116605 -11661.50757 0.498038416 0.237502527 3.998248362 0.692399287 1.972248035 1 0.53059928 0.632476452 0.84914211 1 5.639442648 1 4.127099467 1 2 1 0.752375913 -0.100531883 -11661.50757 20000 -11619.083 10.39964537 -11629.48264 0.521744368 0.214912318 4.270985518 0.541128984 2.101267917 0.923590078 0.454491366 0.579106816 0.84914211 1 4.275011157 1 3.572998314 1 2 1 0.788107751 0.126306036 -11629.48264 25000 -11611.87092 10.35773659 -11622.22866 0.538267665 0.249776434 4.667631048 0.541128984 2.663991984 0.923590078 0.454491366 0.579106816 0.84914211 1 2.790356465 1 9.006475125 1 2 1 0.858711594 -0.15192669 -11622.22866 30000 -11558.1956 9.309928805 -11567.50553 0.406487536 0.381572173 4.635441769 0.535426497 2.351662896 0.71024515 0.454491366 0.400963842 0.868945191 1 2.423867028 1 4.915482306 1 2 1 0.97570467 0.010894322 -11567.50553 35000 -11546.21242 9.295081941 -11555.5075 0.421662198 0.388810309 5.595666682 0.517222866 2.222474694 0.619053642 0.454491366 0.400963842 0.683175497 1 3.436659859 1 3.307441071 1 2 1 0.772974466 -0.122836598 -11555.5075 40000 -11537.25115 10.11603223 -11547.36718 0.43221859 0.332279565 6.269641299 0.490893079 2.258952513 0.612902204 0.454491366 0.400963842 0.759791567 1 0.974354492 1 8.609855527 1 2 1 0.864159153 0.185784318 -11547.36718 45000 -11542.03752 8.831060914 -11550.86858 0.41068232 0.317474311 8.788307862 0.395894382 1.890110553 0.612902204 0.454491366 0.400963842 0.759791567 1 2.169735682 1 4.720480414 1 2 1 0.841523877 -0.407735195 -11550.86858 50000 -11523.27516 10.2427829 -11533.51794 0.406585615 0.323536422 5.067725853 0.426674942 1.956678338 0.539160716 0.454491366 0.397303368 0.780869646 1 8.274342633 1 4.931613773 1 2 1 0.918163441 -0.272283576 -11533.51794 55000 -11501.97502 9.300953314 -11511.27598 0.399967938 0.320348123 6.136547902 0.426674942 2.248856747 0.40895188 0.454491366 0.377650238 0.780869646 1 1.066912091 1 3.687537851 1 2 1 0.794051449 -0.203210499 -11511.27598 60000 -11502.21408 10.79458668 -11513.00867 0.407186057 0.298231901 6.712291011 0.392300011 2.248856747 0.40895188 0.404825386 0.377650238 0.780869646 1 7.726798541 1 7.22022263 1 2 1 0.877126322 -0.152639727 -11513.00867 65000 -11494.31082 10.98363806 -11505.29445 0.430729042 0.282386559 5.511722789 0.390232138 2.248856747 0.390628113 0.46996657 0.377650238 0.780869646 1 2.945441269 1 2.711451134 1 2 2 0.970232434 -0.273741231 -11505.29445 70000 -11486.74839 11.38360016 -11498.132 0.446964674 0.274539761 6.416433215 0.441354219 1.802373766 0.34279235 0.46996657 0.324656913 0.760284393 1 1.367843143 1 8.942118488 1 2 2 1.087427803 -0.20951093 -11498.132 75000 -11487.09646 11.80566971 -11498.90213 0.447824824 0.255976676 4.804805834 0.444539881 1.579948921 0.340636439 0.400802042 0.309471423 0.760284393 1 3.484112987 1 6.416204551 1 2 2 1.073600746 -0.160459922 -11498.90213 80000 -11480.80677 11.64933177 -11492.4561 0.449035771 0.274649021 5.141355834 0.444539881 1.98548426 0.3038253 0.426396731 0.309471423 0.760284393 1 0.449631933 1 2.196339214 1 2 2 1.013446637 -0.217118097 -11492.4561 85000 -11477.41882 11.26151112 -11488.68033 0.44149668 0.276483855 7.472642567 0.444539881 1.98548426 0.3038253 0.396916874 0.309471423 0.760284393 1 5.320413674 1 9.006582111 1 2 2 1.08296115 -0.285248623 -11488.68033 90000 -11478.05175 10.6447195 -11488.69647 0.406967841 0.282046279 4.921459901 0.444539881 1.98548426 0.3038253 0.461785655 0.368335839 0.822649747 1 4.547037198 1 4.392465567 1 2 2 1.097219878 -0.350582349 -11488.69647 95000 -11475.14384 11.55432694 -11486.69816 0.434314386 0.291645335 5.960567853 0.352991105 1.98548426 0.3038253 0.461785655 0.344082339 0.822649747 1 9.135222357 1 2.002812074 1 2 2 1.159186899 0.145832158 -11486.69816 100000 -11467.30154 11.39984331 -11478.70138 0.444933054 0.310825156 6.623474181 0.4651861 1.98548426 0.299911715 0.469315003 0.262578689 0.822649747 1 0.474114755 1 0.623263931 1 2 2 0.884727083 -0.211149681 -11478.70138 105000 -11473.38894 11.43565359 -11484.8246 0.427004572 0.253480311 7.568624323 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8.153718769 0.320165355 1.505387173 0.194786548 0.463094487 0.267891185 0.838639168 1 5.708932095 1 9.541673676 1 2 2 0.994773666 -0.108352931 -11463.9825 155000 -11454.66573 11.88213313 -11466.54786 0.413551648 0.347746651 5.31924717 0.350930069 1.505387173 0.157753233 0.463094487 0.267891185 0.838639168 1 9.889439327 1 9.049237348 1 2 2 0.83294935 0.111950098 -11466.54786 160000 -11457.38707 12.53036606 -11469.91743 0.481015391 0.278199681 8.127378667 0.350930069 1.859517409 0.157753233 0.474816871 0.272827836 0.67215256 1 4.849063289 1 9.371979624 1 2 2 0.796206021 0.124769045 -11469.91743 165000 -11459.51593 13.20329631 -11472.71923 0.481374515 0.274374203 6.201902768 0.349050137 1.896264857 0.157753233 0.458709807 0.348166879 0.873537405 1 6.496685907 1 3.572067474 1 2 2 0.769188025 0.187662494 -11472.71923 170000 -11461.98411 11.9112858 -11473.89539 0.467033014 0.285763922 3.635983098 0.349050137 1.856016048 0.143720123 0.462818129 0.348166879 0.85990596 1 6.087993635 1 5.524852982 1 2 2 0.652991013 0.150034818 -11473.89539 175000 -11458.96451 12.1651729 -11471.12969 0.411372386 0.348934523 4.200687706 0.349050137 1.640752827 0.132023003 0.429022886 0.348166879 0.738695629 1 7.756182642 1 2.818026475 1 2 2 0.770360107 0.169591668 -11471.12969 180000 -11464.80771 12.5517246 -11477.35943 0.411141989 0.295535326 6.029751422 0.274415073 1.640752827 0.132023003 0.480574722 0.348166879 0.756673841 1 5.080071704 1 0.244704916 1 2 2 0.740472601 0.200207578 -11477.35943 185000 -11450.62499 13.21782228 -11463.84281 0.476934706 0.288648165 4.913443705 0.289933174 1.640752827 0.132023003 0.481824303 0.288353314 0.756673841 1 4.314929095 1 4.463140058 1 2 2 0.570952003 0.399481208 -11463.84281 190000 -11454.17683 12.64623571 -11466.82307 0.445372699 0.313451611 5.071137749 0.289933174 1.562394683 0.166529253 0.481824303 0.219836522 0.719057975 1 6.738023092 1 3.855383204 1 2 2 0.719704199 0.376669446 -11466.82307 195000 -11450.2603 11.89729986 -11462.1576 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0.747701581 1 6.532932106 1 0.504426052 1 1 1 0.464670353 0.17392179 -11463.24644 20045000 -11447.228 22.55786175 -11469.78586 1.010320811 0.136785614 12.38551313 0.245511641 1.244361449 0.132326481 0.355438354 0.22705692 0.747701581 1 2.911833426 1 0.562116143 1 1 1 0.491878144 0.228324978 -11469.78586 20050000 -11443.3309 21.20137893 -11464.53228 0.88903106 0.196082302 11.17328749 0.245511641 1.242291359 0.132326481 0.355438354 0.216350327 0.747701581 1 0.395171833 1 0.106792426 1 0 0 0.499814385 0.135745114 -11464.53228 20055000 -11445.57209 20.29645099 -11465.86855 0.853373732 0.21309121 14.68219423 0.245511641 1.242291359 0.132326481 0.355438354 0.216350327 0.636633293 1 0.452189394 1 4.228409376 1 0 0 0.505819425 0.041114774 -11465.86855 20060000 -11442.00683 19.34656547 -11461.3534 0.743386066 0.228907271 9.382585646 0.30205295 1.242291359 0.132326481 0.355438354 0.216350327 0.803539363 1 0.469560201 1 1.76963456 1 0 0 0.587016547 0.280933224 -11461.3534 20065000 -11439.28772 18.7425991 -11458.03032 0.713179051 0.262969201 8.240556784 0.30205295 1.242291359 0.132326481 0.358747271 0.216350327 0.743067 1 5.298542946 1 0.615379157 1 1 1 0.474601936 0.20295468 -11458.03032 20070000 -11445.65188 14.95975627 -11460.61163 0.626197924 0.266961543 15.59006424 0.271758533 1.242291359 0.114978575 0.362480611 0.216350327 0.743067 1 5.004210349 1 0.634563325 1 1 1 0.46442816 -0.003181335 -11460.61163 20075000 -11445.5661 18.66038094 -11464.22648 0.681847221 0.245675482 9.285541813 0.271758533 1.242291359 0.114978575 0.365517825 0.22330937 0.743067 1 2.578882538 1 0.676241461 1 1 1 0.5223921 0.17856258 -11464.22648 20080000 -11438.287 16.8037372 -11455.09074 0.590865519 0.292657108 9.074448797 0.271758533 1.242291359 0.13321004 0.437343394 0.22330937 0.743067 1 2.440536265 1 0.789187996 1 1 1 0.633868952 -0.060890389 -11455.09074 20085000 -11446.05689 16.18781333 -11462.24471 0.675964466 0.252110978 4.644162699 0.256486626 1.242291359 0.13321004 0.446737081 0.22330937 0.743067 1 5.784876605 1 0.941468401 1 1 1 0.585018786 -0.399933437 -11462.24471 20090000 -11450.48408 15.34350714 -11465.82758 0.580597148 0.33550074 8.970245275 0.349851974 1.242291359 0.12482627 0.36006505 0.22330937 0.743067 1 9.889142037 1 0.745015461 1 1 1 0.664276004 0.01326369 -11465.82758 20095000 -11457.43201 17.70988052 -11475.14189 0.71117836 0.265562907 7.575190108 0.349851974 1.350114185 0.11069484 0.36006505 0.22330937 0.851610373 1 3.724457503 1 0.644289225 1 1 1 0.50510544 0.007943915 -11475.14189 20100000 -11442.86605 18.0192883 -11460.88533 0.744570147 0.233734965 14.01341075 0.307398569 1.350114185 0.142539892 0.348461824 0.22330937 0.851610373 1 1.726598125 1 0.808209401 1 1 1 0.645770492 -0.226284368 -11460.88533 20105000 -11441.52464 20.75037738 -11462.27501 0.85150159 0.186477649 11.1501619 0.307398569 1.350114185 0.142539892 0.395949329 0.255756871 0.851610373 1 6.010128632 1 0.721204868 1 1 1 0.559862287 -0.103845655 -11462.27501 20110000 -11439.46291 21.2190707 -11460.68198 0.871091852 0.167058203 11.67398293 0.34112785 1.350114185 0.133159721 0.395949329 0.25580836 0.851610373 1 0.732149224 1 0.52644964 1 1 1 0.530003023 -0.09281023 -11460.68198 20115000 -11438.8614 20.72783284 -11459.58924 0.864261972 0.170014741 14.97650068 0.314222454 1.385226261 0.133159721 0.409698042 0.25580836 0.851610373 1 8.089047098 1 0.681995076 1 1 1 0.652749227 -0.291315615 -11459.58924 20120000 -11442.18185 21.72245741 -11463.90431 0.957103167 0.148513606 17.25495568 0.329312748 1.475999234 0.133159721 0.400514907 0.21959552 0.719284308 1 4.352035443 1 0.555875098 1 1 1 0.466527255 -0.017523364 -11463.90431 20125000 -11439.26791 18.63076925 -11457.89868 0.779046656 0.206608588 6.920583972 0.329312748 1.475999234 0.169425851 0.416195411 0.22473298 0.861432354 1 5.954126258 1 0.781020861 1 1 1 0.546514819 0.023166731 -11457.89868 20130000 -11442.12576 19.25865943 -11461.38442 0.830601972 0.188315062 12.80901793 0.329312748 1.475999234 0.171204639 0.416195411 0.207768051 0.861432354 1 5.083736221 1 0.64571352 1 1 1 0.615187286 0.213236471 -11461.38442 20135000 -11442.30938 20.1741923 -11462.48358 0.869114916 0.194314142 12.40168472 0.35922125 1.322689307 0.171204639 0.411854597 0.207768051 0.886357755 1 0.740243074 1 0.634453903 1 1 1 0.66559477 -0.130681741 -11462.48358 20140000 -11443.21814 20.43378895 -11463.65192 0.894359446 0.17070528 11.18702792 0.35922125 1.394907996 0.171204639 0.349951303 0.207768051 0.886357755 1 9.674676709 1 0.525055764 1 1 1 0.450984202 0.281747976 -11463.65192 20145000 -11442.64227 21.58322479 -11464.22549 0.957193557 0.169846204 13.43591654 0.35922125 1.394907996 0.171204639 0.349951303 0.256544822 0.9348965 1 9.756998295 1 0.406447152 1 1 1 0.374125549 0.157858114 -11464.22549 20150000 -11443.11091 19.6819274 -11462.79284 0.867242304 0.195912343 16.83638465 0.35922125 1.394907996 0.15332386 0.349951303 0.256544822 0.9348965 1 0.266219055 1 0.302125497 1 0 0 0.384846877 0.180377675 -11462.79284 20155000 -11438.73594 20.72379721 -11459.45974 0.875740427 0.194812828 12.84033492 0.35922125 1.471156717 0.15332386 0.349951303 0.256544822 0.862355265 1 0.389249035 1 2.905342955 1 0 0 0.415168078 -0.287315789 -11459.45974 20160000 -11447.23551 19.57296206 -11466.80847 0.980279059 0.174992392 24.3494291 0.333524905 1.343132175 0.15332386 0.349951303 0.256544822 0.859544806 1 6.884228711 1 0.412332418 1 1 1 0.515340022 0.263130112 -11466.80847 20165000 -11436.96487 23.31139556 -11460.27627 1.100688163 0.13676387 16.82183795 0.333524905 1.343132175 0.15332386 0.349951303 0.256544822 0.859544806 1 8.996399354 1 0.457279027 1 1 1 0.476448011 0.109839397 -11460.27627 20170000 -11443.33518 21.64059 -11464.97577 1.002537198 0.158620811 10.17506976 0.307379895 1.343132175 0.159870499 0.444784659 0.250399721 0.859544806 1 7.121332548 1 0.339944203 1 1 1 0.456934321 0.076302068 -11464.97577 20175000 -11440.61196 20.1179744 -11460.72994 1.033212937 0.156449247 6.644905833 0.307379895 1.343132175 0.159870499 0.444784659 0.250399721 0.859544806 1 6.765580864 1 0.256161079 1 1 1 0.369265897 0.271479855 -11460.72994 20180000 -11440.55383 22.7214923 -11463.27532 1.046681001 0.169178147 12.99032075 0.307379895 1.343132175 0.142343921 0.366247644 0.250399721 0.859544806 1 0.264486241 1 0.984662762 1 0 0 0.372784329 0.076372551 -11463.27532 20185000 -11437.99715 22.37985268 -11460.377 1.073929926 0.148480862 19.51613477 0.307379895 1.451811468 0.142343921 0.363783601 0.250399721 0.635798529 1 0.296319097 1 6.095050778 1 0 0 0.403782135 0.132707339 -11460.377 20190000 -11438.24608 22.5382641 -11460.78434 1.03451901 0.152030232 16.74282672 0.342180036 1.451811468 0.142343921 0.3722883 0.250399721 0.987209137 1 0.402023369 1 3.15682702 1 0 0 0.452263659 -0.016219105 -11460.78434 20195000 -11452.01384 20.09173374 -11472.10557 0.966521427 0.167212205 19.18659578 0.292345427 1.451811468 0.142343921 0.3722883 0.271226967 0.975762976 1 0.240799592 1 3.344825995 1 0 0 0.341198128 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1 1 1 0.502951079 0.008568584 -11470.08628 49975000 -11441.8571 20.57258945 -11462.42969 0.818819409 0.180888857 11.60796587 0.306982331 1.279150284 0.131349026 0.373822938 0.249694526 0.728720146 1 0.51537311 1 0.504205826 1 1 1 0.601584823 0.116933154 -11462.42969 49980000 -11444.02881 21.1048343 -11465.13365 0.84625868 0.142829685 11.21362225 0.31584606 1.233055714 0.131349026 0.373822938 0.249694526 0.900712107 1 7.486184862 1 0.577154235 1 1 1 0.5241997 -0.114525304 -11465.13365 49985000 -11443.64105 20.7392664 -11464.38032 0.857941017 0.170880709 10.6510933 0.31584606 1.388256663 0.131349026 0.373822938 0.249694526 0.900712107 1 9.019006484 1 0.719764743 1 1 1 0.666735208 -0.124629931 -11464.38032 49990000 -11443.04715 21.60525359 -11464.65241 0.913020038 0.129121877 12.9806977 0.31584606 1.348106731 0.123117003 0.30486634 0.249694526 0.606400309 1 7.457469057 1 0.928046129 1 1 1 0.619936619 -0.314987853 -11464.65241 49995000 -11443.4768 21.60146729 -11465.07826 0.896218275 0.142740506 15.78688175 0.347864402 1.278087764 0.123117003 0.30486634 0.231286474 1.01008179 1 1.712838452 1 0.514645013 1 2 2 0.723650916 0.117697813 -11465.07826 50000000 -11451.85263 21.47016834 -11473.3228 0.959530269 0.121762597 18.00186924 0.290295839 1.336962732 0.127405116 0.43639532 0.231286474 1.01008179 1 4.53037151 1 6.117522544 1 2 2 0.710243981 0.201229476 -11473.3228 \ No newline at end of file diff --git a/examples/New_Tracer.pdf b/examples/New_Tracer.pdf new file mode 100755 index 0000000..baac205 Binary files /dev/null and b/examples/New_Tracer.pdf differ diff --git a/figures/comp-95HPD.pdf b/figures/comp-95HPD.pdf new file mode 100644 index 0000000..3086f35 Binary files /dev/null and b/figures/comp-95HPD.pdf differ diff --git a/figures/estimates.pdf b/figures/estimates.pdf new file mode 100644 index 0000000..7ebeadf Binary files /dev/null and b/figures/estimates.pdf differ diff --git a/figures/gopher-log.pdf b/figures/gopher-log.pdf new file mode 100644 index 0000000..1529a1a Binary files /dev/null and b/figures/gopher-log.pdf differ diff --git a/figures/gopher-log.png b/figures/gopher-log.png new file mode 100644 index 0000000..d3a0fa8 Binary files /dev/null and b/figures/gopher-log.png differ diff --git a/figures/marginal-prob-distribution.pdf b/figures/marginal-prob-distribution.pdf new file mode 100644 index 0000000..0fa282a Binary files /dev/null and b/figures/marginal-prob-distribution.pdf differ diff --git a/figures/trace.pdf b/figures/trace.pdf new file mode 100644 index 0000000..c3babc2 Binary files /dev/null and b/figures/trace.pdf differ diff --git a/manuscript/tracer16.tex b/manuscript/tracer16.tex index 3891c76..4fc8d66 100644 --- a/manuscript/tracer16.tex +++ b/manuscript/tracer16.tex @@ -76,7 +76,45 @@ \section*{Design and Implementation} \item AICM \end{itemize} -\subsubsection*{Graphical user-interface:} Blah blah +\subsubsection*{Graphical user-interface:} + +Tracer can analyse either a single MCMC log or combine the shared traces from multiple logs. Traces panel provides the list of the statistical summary from the sampling parameters' values at all states logged during a MCMC process. + +There are 4 analysis tabs to choose from a selected parameter: + +%TODO +Estimates - this shows the mean, stdev, confidence intervals and other statistics about the selected parameter. A frequency distribution will also be plotted. +Density - this shows the Bayesian posterior density plot for the selected parameter. +Joint-Marginal - this only appears if exactly 2 parameters are chosen (hold down shift to select multiple parameters). It then plots one against the other to look at their joint-marginal distribution. +Trace - this shows the trace of the parameter against state or generation number. Use this to check mixing, choose a suitable burn-in and look for trends that might suggest problems with convergence. +Multiple parameters can be selected by holding down the shift key. This will overlay the plots for the different parameters allowing comparisons to be made. You can also select multiple trace files as well to compare different runs. If multiple trace files have the same trace names then a "Combined" trace will automatically appear. This can be selected as well as the individual trace files. + +%TODO better figures + +\begin{figure}[H] +\includegraphics[width=.5\textwidth]{../figures/gopher-log.png} +\caption{The } +\label{fig:front:page} +\end{figure} + +\begin{figure}[H] +\includegraphics[width=.5\textwidth]{../figures/estimates.pdf} +\caption{The estimates} +\label{fig:estimates} +\end{figure} + +\begin{figure}[H] +\includegraphics[width=.5\textwidth]{../figures/comp-95HPD.pdf} +\caption{The comparison of 95\% HPD intervals from multi-trace} +\label{fig:comp95HPD} +\end{figure} + +\begin{figure}[H] +\includegraphics[width=.5\textwidth]{../figures/trace.pdf} +\caption{The trace} +\label{fig:trace} +\end{figure} + \subsubsection*{Diagnostics:} Blah blah @@ -85,6 +123,12 @@ \subsubsection*{Demographic reconstruction:} \subsubsection*{Model selection:} + +\subsubsection*{Conditional posterior distribution:} + + + + \section*{Example} Even users of \textsc{MrBayes} and \textsc{RevBayes} find Tracer handy.