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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 15 Aug 2016 10:49:06 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Aug/15/t1471254566bycc6jia7qtrvrj.htm/, Retrieved Sun, 28 Apr 2024 09:35:08 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 28 Apr 2024 09:35:08 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011046.4860205557817.176321251902
0.021065.4202553345638.8804840562729
0.031092.528605930645.3888631554247
0.041118.7903140949837.7457296334692
0.051139.0731001865427.6003057309342
0.061153.521246777321.9640607085586
0.071164.3815900555120.32147368389
0.081173.4608295625219.7831983824352
0.091181.5644751420618.9979684380925
0.11188.910738821317.9478804140732
0.111195.559804363516.9249901297562
0.121201.5837551326716.0522316383139
0.131207.073314511215.2832067931591
0.141212.1129694669614.5764849226578
0.151216.7766050501413.9711768761664
0.161221.1370262220213.5454888894197
0.171225.2704609841113.3552873440617
0.181229.248873208713.3679687624771
0.191233.125418595313.4773459366664
0.21236.9226459025913.5398906498037
0.211240.6303562041413.4303237669766
0.221244.2146131173613.0904122791423
0.231247.6345300341212.5387724723598
0.241250.8607868855711.8736514410147
0.251253.8897452344911.2403474624427
0.261256.7490723967210.7927553934329
0.271259.4939292620210.6463846182726
0.281262.1958128731710.8406754993193
0.291264.9280881047511.3386648998788
0.31267.7526241349912.0471374856305
0.311270.7108943531312.8489681445679
0.321273.8209862723513.6419106550335
0.331277.0799802677714.3510858237259
0.341280.4697723138614.939858138573
0.351283.9639885775615.3996744396721
0.361287.534108778415.7335726732316
0.371291.1538907693715.9674095017106
0.381294.8021553649916.1180425169797
0.391298.4645380561316.2148959017273
0.41302.1347954627616.2933220950778
0.411305.8158089492616.3954159859873
0.421309.5198810716316.5743779117111
0.431313.2676148248216.8695713077849
0.441317.0848041583917.3046287923764
0.451320.9973290071417.8694001113297
0.461325.0248168935118.5169602417584
0.471329.174478760719.1629602905318
0.481333.436755054119.712123609456
0.491337.7840816069520.0708946597201
0.51342.1732838065920.1725951447806
0.511346.5511036897219.9856884730502
0.521350.8615149290419.5189812407687
0.531355.0530812748418.8174920661986
0.541359.0847785513617.9489492680141
0.551362.9293194471816.9887623953784
0.561366.5738231541416.0060707243078
0.571370.0183580308615.054757845149
0.581373.2732588337414.1760578721618
0.591376.3561550981413.3891034635209
0.61379.2894583668812.7100976361469
0.611382.0987979941612.1494893702376
0.621384.8126610955711.7115901945845
0.631387.4632708107811.4154732341449
0.641390.0884538710711.2788314059465
0.651392.7338579771511.3447277234897
0.661395.4544468844711.6540754912706
0.671398.3139166773912.2522449862954
0.681401.3807847124913.155164924272
0.691404.7205738114414.3292688162371
0.71408.3847222872315.6874184780236
0.711412.3983137069517.080932603031
0.721416.7499434466918.3324366605782
0.731421.3874542145619.2591168029217
0.741426.2224505035219.7195672858917
0.751431.1443760368519.649014665218
0.761436.0419608608919.0858443007197
0.771440.8269718328418.1673063859096
0.781445.4536273583417.1081205375333
0.791449.9277044453416.1442032980698
0.81454.3024121451815.4711785083086
0.811458.6625824551415.1818590166396
0.821463.1028713733915.2513892775353
0.831467.7077509893515.5688968792672
0.841472.5405185212116.0037407075543
0.851477.6463643442616.4590953935303
0.861483.072352563816.925217524743
0.871488.904763537417.5129358127377
0.881495.3177684296318.4937939010344
0.891502.6122971187320.273058200701
0.91511.2053032903823.166918010467
0.911521.5333607201526.9998263124162
0.921533.8987776624730.9081133962665
0.931548.4085533018933.7926429140128
0.941565.2052661952835.4791742533771
0.951584.8923725721637.6990402632181
0.961608.3333175609842.1149359851581
0.971634.7737897852644.3453876443851
0.981659.4116886298334.7831571245623
0.991675.1366017056313.9460071729198

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1046.48602055578 & 17.176321251902 \tabularnewline
0.02 & 1065.42025533456 & 38.8804840562729 \tabularnewline
0.03 & 1092.5286059306 & 45.3888631554247 \tabularnewline
0.04 & 1118.79031409498 & 37.7457296334692 \tabularnewline
0.05 & 1139.07310018654 & 27.6003057309342 \tabularnewline
0.06 & 1153.5212467773 & 21.9640607085586 \tabularnewline
0.07 & 1164.38159005551 & 20.32147368389 \tabularnewline
0.08 & 1173.46082956252 & 19.7831983824352 \tabularnewline
0.09 & 1181.56447514206 & 18.9979684380925 \tabularnewline
0.1 & 1188.9107388213 & 17.9478804140732 \tabularnewline
0.11 & 1195.5598043635 & 16.9249901297562 \tabularnewline
0.12 & 1201.58375513267 & 16.0522316383139 \tabularnewline
0.13 & 1207.0733145112 & 15.2832067931591 \tabularnewline
0.14 & 1212.11296946696 & 14.5764849226578 \tabularnewline
0.15 & 1216.77660505014 & 13.9711768761664 \tabularnewline
0.16 & 1221.13702622202 & 13.5454888894197 \tabularnewline
0.17 & 1225.27046098411 & 13.3552873440617 \tabularnewline
0.18 & 1229.2488732087 & 13.3679687624771 \tabularnewline
0.19 & 1233.1254185953 & 13.4773459366664 \tabularnewline
0.2 & 1236.92264590259 & 13.5398906498037 \tabularnewline
0.21 & 1240.63035620414 & 13.4303237669766 \tabularnewline
0.22 & 1244.21461311736 & 13.0904122791423 \tabularnewline
0.23 & 1247.63453003412 & 12.5387724723598 \tabularnewline
0.24 & 1250.86078688557 & 11.8736514410147 \tabularnewline
0.25 & 1253.88974523449 & 11.2403474624427 \tabularnewline
0.26 & 1256.74907239672 & 10.7927553934329 \tabularnewline
0.27 & 1259.49392926202 & 10.6463846182726 \tabularnewline
0.28 & 1262.19581287317 & 10.8406754993193 \tabularnewline
0.29 & 1264.92808810475 & 11.3386648998788 \tabularnewline
0.3 & 1267.75262413499 & 12.0471374856305 \tabularnewline
0.31 & 1270.71089435313 & 12.8489681445679 \tabularnewline
0.32 & 1273.82098627235 & 13.6419106550335 \tabularnewline
0.33 & 1277.07998026777 & 14.3510858237259 \tabularnewline
0.34 & 1280.46977231386 & 14.939858138573 \tabularnewline
0.35 & 1283.96398857756 & 15.3996744396721 \tabularnewline
0.36 & 1287.5341087784 & 15.7335726732316 \tabularnewline
0.37 & 1291.15389076937 & 15.9674095017106 \tabularnewline
0.38 & 1294.80215536499 & 16.1180425169797 \tabularnewline
0.39 & 1298.46453805613 & 16.2148959017273 \tabularnewline
0.4 & 1302.13479546276 & 16.2933220950778 \tabularnewline
0.41 & 1305.81580894926 & 16.3954159859873 \tabularnewline
0.42 & 1309.51988107163 & 16.5743779117111 \tabularnewline
0.43 & 1313.26761482482 & 16.8695713077849 \tabularnewline
0.44 & 1317.08480415839 & 17.3046287923764 \tabularnewline
0.45 & 1320.99732900714 & 17.8694001113297 \tabularnewline
0.46 & 1325.02481689351 & 18.5169602417584 \tabularnewline
0.47 & 1329.1744787607 & 19.1629602905318 \tabularnewline
0.48 & 1333.4367550541 & 19.712123609456 \tabularnewline
0.49 & 1337.78408160695 & 20.0708946597201 \tabularnewline
0.5 & 1342.17328380659 & 20.1725951447806 \tabularnewline
0.51 & 1346.55110368972 & 19.9856884730502 \tabularnewline
0.52 & 1350.86151492904 & 19.5189812407687 \tabularnewline
0.53 & 1355.05308127484 & 18.8174920661986 \tabularnewline
0.54 & 1359.08477855136 & 17.9489492680141 \tabularnewline
0.55 & 1362.92931944718 & 16.9887623953784 \tabularnewline
0.56 & 1366.57382315414 & 16.0060707243078 \tabularnewline
0.57 & 1370.01835803086 & 15.054757845149 \tabularnewline
0.58 & 1373.27325883374 & 14.1760578721618 \tabularnewline
0.59 & 1376.35615509814 & 13.3891034635209 \tabularnewline
0.6 & 1379.28945836688 & 12.7100976361469 \tabularnewline
0.61 & 1382.09879799416 & 12.1494893702376 \tabularnewline
0.62 & 1384.81266109557 & 11.7115901945845 \tabularnewline
0.63 & 1387.46327081078 & 11.4154732341449 \tabularnewline
0.64 & 1390.08845387107 & 11.2788314059465 \tabularnewline
0.65 & 1392.73385797715 & 11.3447277234897 \tabularnewline
0.66 & 1395.45444688447 & 11.6540754912706 \tabularnewline
0.67 & 1398.31391667739 & 12.2522449862954 \tabularnewline
0.68 & 1401.38078471249 & 13.155164924272 \tabularnewline
0.69 & 1404.72057381144 & 14.3292688162371 \tabularnewline
0.7 & 1408.38472228723 & 15.6874184780236 \tabularnewline
0.71 & 1412.39831370695 & 17.080932603031 \tabularnewline
0.72 & 1416.74994344669 & 18.3324366605782 \tabularnewline
0.73 & 1421.38745421456 & 19.2591168029217 \tabularnewline
0.74 & 1426.22245050352 & 19.7195672858917 \tabularnewline
0.75 & 1431.14437603685 & 19.649014665218 \tabularnewline
0.76 & 1436.04196086089 & 19.0858443007197 \tabularnewline
0.77 & 1440.82697183284 & 18.1673063859096 \tabularnewline
0.78 & 1445.45362735834 & 17.1081205375333 \tabularnewline
0.79 & 1449.92770444534 & 16.1442032980698 \tabularnewline
0.8 & 1454.30241214518 & 15.4711785083086 \tabularnewline
0.81 & 1458.66258245514 & 15.1818590166396 \tabularnewline
0.82 & 1463.10287137339 & 15.2513892775353 \tabularnewline
0.83 & 1467.70775098935 & 15.5688968792672 \tabularnewline
0.84 & 1472.54051852121 & 16.0037407075543 \tabularnewline
0.85 & 1477.64636434426 & 16.4590953935303 \tabularnewline
0.86 & 1483.0723525638 & 16.925217524743 \tabularnewline
0.87 & 1488.9047635374 & 17.5129358127377 \tabularnewline
0.88 & 1495.31776842963 & 18.4937939010344 \tabularnewline
0.89 & 1502.61229711873 & 20.273058200701 \tabularnewline
0.9 & 1511.20530329038 & 23.166918010467 \tabularnewline
0.91 & 1521.53336072015 & 26.9998263124162 \tabularnewline
0.92 & 1533.89877766247 & 30.9081133962665 \tabularnewline
0.93 & 1548.40855330189 & 33.7926429140128 \tabularnewline
0.94 & 1565.20526619528 & 35.4791742533771 \tabularnewline
0.95 & 1584.89237257216 & 37.6990402632181 \tabularnewline
0.96 & 1608.33331756098 & 42.1149359851581 \tabularnewline
0.97 & 1634.77378978526 & 44.3453876443851 \tabularnewline
0.98 & 1659.41168862983 & 34.7831571245623 \tabularnewline
0.99 & 1675.13660170563 & 13.9460071729198 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]1046.48602055578[/C][C]17.176321251902[/C][/ROW]
[ROW][C]0.02[/C][C]1065.42025533456[/C][C]38.8804840562729[/C][/ROW]
[ROW][C]0.03[/C][C]1092.5286059306[/C][C]45.3888631554247[/C][/ROW]
[ROW][C]0.04[/C][C]1118.79031409498[/C][C]37.7457296334692[/C][/ROW]
[ROW][C]0.05[/C][C]1139.07310018654[/C][C]27.6003057309342[/C][/ROW]
[ROW][C]0.06[/C][C]1153.5212467773[/C][C]21.9640607085586[/C][/ROW]
[ROW][C]0.07[/C][C]1164.38159005551[/C][C]20.32147368389[/C][/ROW]
[ROW][C]0.08[/C][C]1173.46082956252[/C][C]19.7831983824352[/C][/ROW]
[ROW][C]0.09[/C][C]1181.56447514206[/C][C]18.9979684380925[/C][/ROW]
[ROW][C]0.1[/C][C]1188.9107388213[/C][C]17.9478804140732[/C][/ROW]
[ROW][C]0.11[/C][C]1195.5598043635[/C][C]16.9249901297562[/C][/ROW]
[ROW][C]0.12[/C][C]1201.58375513267[/C][C]16.0522316383139[/C][/ROW]
[ROW][C]0.13[/C][C]1207.0733145112[/C][C]15.2832067931591[/C][/ROW]
[ROW][C]0.14[/C][C]1212.11296946696[/C][C]14.5764849226578[/C][/ROW]
[ROW][C]0.15[/C][C]1216.77660505014[/C][C]13.9711768761664[/C][/ROW]
[ROW][C]0.16[/C][C]1221.13702622202[/C][C]13.5454888894197[/C][/ROW]
[ROW][C]0.17[/C][C]1225.27046098411[/C][C]13.3552873440617[/C][/ROW]
[ROW][C]0.18[/C][C]1229.2488732087[/C][C]13.3679687624771[/C][/ROW]
[ROW][C]0.19[/C][C]1233.1254185953[/C][C]13.4773459366664[/C][/ROW]
[ROW][C]0.2[/C][C]1236.92264590259[/C][C]13.5398906498037[/C][/ROW]
[ROW][C]0.21[/C][C]1240.63035620414[/C][C]13.4303237669766[/C][/ROW]
[ROW][C]0.22[/C][C]1244.21461311736[/C][C]13.0904122791423[/C][/ROW]
[ROW][C]0.23[/C][C]1247.63453003412[/C][C]12.5387724723598[/C][/ROW]
[ROW][C]0.24[/C][C]1250.86078688557[/C][C]11.8736514410147[/C][/ROW]
[ROW][C]0.25[/C][C]1253.88974523449[/C][C]11.2403474624427[/C][/ROW]
[ROW][C]0.26[/C][C]1256.74907239672[/C][C]10.7927553934329[/C][/ROW]
[ROW][C]0.27[/C][C]1259.49392926202[/C][C]10.6463846182726[/C][/ROW]
[ROW][C]0.28[/C][C]1262.19581287317[/C][C]10.8406754993193[/C][/ROW]
[ROW][C]0.29[/C][C]1264.92808810475[/C][C]11.3386648998788[/C][/ROW]
[ROW][C]0.3[/C][C]1267.75262413499[/C][C]12.0471374856305[/C][/ROW]
[ROW][C]0.31[/C][C]1270.71089435313[/C][C]12.8489681445679[/C][/ROW]
[ROW][C]0.32[/C][C]1273.82098627235[/C][C]13.6419106550335[/C][/ROW]
[ROW][C]0.33[/C][C]1277.07998026777[/C][C]14.3510858237259[/C][/ROW]
[ROW][C]0.34[/C][C]1280.46977231386[/C][C]14.939858138573[/C][/ROW]
[ROW][C]0.35[/C][C]1283.96398857756[/C][C]15.3996744396721[/C][/ROW]
[ROW][C]0.36[/C][C]1287.5341087784[/C][C]15.7335726732316[/C][/ROW]
[ROW][C]0.37[/C][C]1291.15389076937[/C][C]15.9674095017106[/C][/ROW]
[ROW][C]0.38[/C][C]1294.80215536499[/C][C]16.1180425169797[/C][/ROW]
[ROW][C]0.39[/C][C]1298.46453805613[/C][C]16.2148959017273[/C][/ROW]
[ROW][C]0.4[/C][C]1302.13479546276[/C][C]16.2933220950778[/C][/ROW]
[ROW][C]0.41[/C][C]1305.81580894926[/C][C]16.3954159859873[/C][/ROW]
[ROW][C]0.42[/C][C]1309.51988107163[/C][C]16.5743779117111[/C][/ROW]
[ROW][C]0.43[/C][C]1313.26761482482[/C][C]16.8695713077849[/C][/ROW]
[ROW][C]0.44[/C][C]1317.08480415839[/C][C]17.3046287923764[/C][/ROW]
[ROW][C]0.45[/C][C]1320.99732900714[/C][C]17.8694001113297[/C][/ROW]
[ROW][C]0.46[/C][C]1325.02481689351[/C][C]18.5169602417584[/C][/ROW]
[ROW][C]0.47[/C][C]1329.1744787607[/C][C]19.1629602905318[/C][/ROW]
[ROW][C]0.48[/C][C]1333.4367550541[/C][C]19.712123609456[/C][/ROW]
[ROW][C]0.49[/C][C]1337.78408160695[/C][C]20.0708946597201[/C][/ROW]
[ROW][C]0.5[/C][C]1342.17328380659[/C][C]20.1725951447806[/C][/ROW]
[ROW][C]0.51[/C][C]1346.55110368972[/C][C]19.9856884730502[/C][/ROW]
[ROW][C]0.52[/C][C]1350.86151492904[/C][C]19.5189812407687[/C][/ROW]
[ROW][C]0.53[/C][C]1355.05308127484[/C][C]18.8174920661986[/C][/ROW]
[ROW][C]0.54[/C][C]1359.08477855136[/C][C]17.9489492680141[/C][/ROW]
[ROW][C]0.55[/C][C]1362.92931944718[/C][C]16.9887623953784[/C][/ROW]
[ROW][C]0.56[/C][C]1366.57382315414[/C][C]16.0060707243078[/C][/ROW]
[ROW][C]0.57[/C][C]1370.01835803086[/C][C]15.054757845149[/C][/ROW]
[ROW][C]0.58[/C][C]1373.27325883374[/C][C]14.1760578721618[/C][/ROW]
[ROW][C]0.59[/C][C]1376.35615509814[/C][C]13.3891034635209[/C][/ROW]
[ROW][C]0.6[/C][C]1379.28945836688[/C][C]12.7100976361469[/C][/ROW]
[ROW][C]0.61[/C][C]1382.09879799416[/C][C]12.1494893702376[/C][/ROW]
[ROW][C]0.62[/C][C]1384.81266109557[/C][C]11.7115901945845[/C][/ROW]
[ROW][C]0.63[/C][C]1387.46327081078[/C][C]11.4154732341449[/C][/ROW]
[ROW][C]0.64[/C][C]1390.08845387107[/C][C]11.2788314059465[/C][/ROW]
[ROW][C]0.65[/C][C]1392.73385797715[/C][C]11.3447277234897[/C][/ROW]
[ROW][C]0.66[/C][C]1395.45444688447[/C][C]11.6540754912706[/C][/ROW]
[ROW][C]0.67[/C][C]1398.31391667739[/C][C]12.2522449862954[/C][/ROW]
[ROW][C]0.68[/C][C]1401.38078471249[/C][C]13.155164924272[/C][/ROW]
[ROW][C]0.69[/C][C]1404.72057381144[/C][C]14.3292688162371[/C][/ROW]
[ROW][C]0.7[/C][C]1408.38472228723[/C][C]15.6874184780236[/C][/ROW]
[ROW][C]0.71[/C][C]1412.39831370695[/C][C]17.080932603031[/C][/ROW]
[ROW][C]0.72[/C][C]1416.74994344669[/C][C]18.3324366605782[/C][/ROW]
[ROW][C]0.73[/C][C]1421.38745421456[/C][C]19.2591168029217[/C][/ROW]
[ROW][C]0.74[/C][C]1426.22245050352[/C][C]19.7195672858917[/C][/ROW]
[ROW][C]0.75[/C][C]1431.14437603685[/C][C]19.649014665218[/C][/ROW]
[ROW][C]0.76[/C][C]1436.04196086089[/C][C]19.0858443007197[/C][/ROW]
[ROW][C]0.77[/C][C]1440.82697183284[/C][C]18.1673063859096[/C][/ROW]
[ROW][C]0.78[/C][C]1445.45362735834[/C][C]17.1081205375333[/C][/ROW]
[ROW][C]0.79[/C][C]1449.92770444534[/C][C]16.1442032980698[/C][/ROW]
[ROW][C]0.8[/C][C]1454.30241214518[/C][C]15.4711785083086[/C][/ROW]
[ROW][C]0.81[/C][C]1458.66258245514[/C][C]15.1818590166396[/C][/ROW]
[ROW][C]0.82[/C][C]1463.10287137339[/C][C]15.2513892775353[/C][/ROW]
[ROW][C]0.83[/C][C]1467.70775098935[/C][C]15.5688968792672[/C][/ROW]
[ROW][C]0.84[/C][C]1472.54051852121[/C][C]16.0037407075543[/C][/ROW]
[ROW][C]0.85[/C][C]1477.64636434426[/C][C]16.4590953935303[/C][/ROW]
[ROW][C]0.86[/C][C]1483.0723525638[/C][C]16.925217524743[/C][/ROW]
[ROW][C]0.87[/C][C]1488.9047635374[/C][C]17.5129358127377[/C][/ROW]
[ROW][C]0.88[/C][C]1495.31776842963[/C][C]18.4937939010344[/C][/ROW]
[ROW][C]0.89[/C][C]1502.61229711873[/C][C]20.273058200701[/C][/ROW]
[ROW][C]0.9[/C][C]1511.20530329038[/C][C]23.166918010467[/C][/ROW]
[ROW][C]0.91[/C][C]1521.53336072015[/C][C]26.9998263124162[/C][/ROW]
[ROW][C]0.92[/C][C]1533.89877766247[/C][C]30.9081133962665[/C][/ROW]
[ROW][C]0.93[/C][C]1548.40855330189[/C][C]33.7926429140128[/C][/ROW]
[ROW][C]0.94[/C][C]1565.20526619528[/C][C]35.4791742533771[/C][/ROW]
[ROW][C]0.95[/C][C]1584.89237257216[/C][C]37.6990402632181[/C][/ROW]
[ROW][C]0.96[/C][C]1608.33331756098[/C][C]42.1149359851581[/C][/ROW]
[ROW][C]0.97[/C][C]1634.77378978526[/C][C]44.3453876443851[/C][/ROW]
[ROW][C]0.98[/C][C]1659.41168862983[/C][C]34.7831571245623[/C][/ROW]
[ROW][C]0.99[/C][C]1675.13660170563[/C][C]13.9460071729198[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011046.4860205557817.176321251902
0.021065.4202553345638.8804840562729
0.031092.528605930645.3888631554247
0.041118.7903140949837.7457296334692
0.051139.0731001865427.6003057309342
0.061153.521246777321.9640607085586
0.071164.3815900555120.32147368389
0.081173.4608295625219.7831983824352
0.091181.5644751420618.9979684380925
0.11188.910738821317.9478804140732
0.111195.559804363516.9249901297562
0.121201.5837551326716.0522316383139
0.131207.073314511215.2832067931591
0.141212.1129694669614.5764849226578
0.151216.7766050501413.9711768761664
0.161221.1370262220213.5454888894197
0.171225.2704609841113.3552873440617
0.181229.248873208713.3679687624771
0.191233.125418595313.4773459366664
0.21236.9226459025913.5398906498037
0.211240.6303562041413.4303237669766
0.221244.2146131173613.0904122791423
0.231247.6345300341212.5387724723598
0.241250.8607868855711.8736514410147
0.251253.8897452344911.2403474624427
0.261256.7490723967210.7927553934329
0.271259.4939292620210.6463846182726
0.281262.1958128731710.8406754993193
0.291264.9280881047511.3386648998788
0.31267.7526241349912.0471374856305
0.311270.7108943531312.8489681445679
0.321273.8209862723513.6419106550335
0.331277.0799802677714.3510858237259
0.341280.4697723138614.939858138573
0.351283.9639885775615.3996744396721
0.361287.534108778415.7335726732316
0.371291.1538907693715.9674095017106
0.381294.8021553649916.1180425169797
0.391298.4645380561316.2148959017273
0.41302.1347954627616.2933220950778
0.411305.8158089492616.3954159859873
0.421309.5198810716316.5743779117111
0.431313.2676148248216.8695713077849
0.441317.0848041583917.3046287923764
0.451320.9973290071417.8694001113297
0.461325.0248168935118.5169602417584
0.471329.174478760719.1629602905318
0.481333.436755054119.712123609456
0.491337.7840816069520.0708946597201
0.51342.1732838065920.1725951447806
0.511346.5511036897219.9856884730502
0.521350.8615149290419.5189812407687
0.531355.0530812748418.8174920661986
0.541359.0847785513617.9489492680141
0.551362.9293194471816.9887623953784
0.561366.5738231541416.0060707243078
0.571370.0183580308615.054757845149
0.581373.2732588337414.1760578721618
0.591376.3561550981413.3891034635209
0.61379.2894583668812.7100976361469
0.611382.0987979941612.1494893702376
0.621384.8126610955711.7115901945845
0.631387.4632708107811.4154732341449
0.641390.0884538710711.2788314059465
0.651392.7338579771511.3447277234897
0.661395.4544468844711.6540754912706
0.671398.3139166773912.2522449862954
0.681401.3807847124913.155164924272
0.691404.7205738114414.3292688162371
0.71408.3847222872315.6874184780236
0.711412.3983137069517.080932603031
0.721416.7499434466918.3324366605782
0.731421.3874542145619.2591168029217
0.741426.2224505035219.7195672858917
0.751431.1443760368519.649014665218
0.761436.0419608608919.0858443007197
0.771440.8269718328418.1673063859096
0.781445.4536273583417.1081205375333
0.791449.9277044453416.1442032980698
0.81454.3024121451815.4711785083086
0.811458.6625824551415.1818590166396
0.821463.1028713733915.2513892775353
0.831467.7077509893515.5688968792672
0.841472.5405185212116.0037407075543
0.851477.6463643442616.4590953935303
0.861483.072352563816.925217524743
0.871488.904763537417.5129358127377
0.881495.3177684296318.4937939010344
0.891502.6122971187320.273058200701
0.91511.2053032903823.166918010467
0.911521.5333607201526.9998263124162
0.921533.8987776624730.9081133962665
0.931548.4085533018933.7926429140128
0.941565.2052661952835.4791742533771
0.951584.8923725721637.6990402632181
0.961608.3333175609842.1149359851581
0.971634.7737897852644.3453876443851
0.981659.4116886298334.7831571245623
0.991675.1366017056313.9460071729198


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')