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Description of Statistical Computation

Author's title

aatal niet werkende werkzoekende tussen 20-25 jaar Fréderic.ledent@student....

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 21 Oct 2009 12:15:13 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/21/t125614909939iybc8ksnfnqkm.htm/, Retrieved Tue, 21 Apr 2026 17:35:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49562, Retrieved Tue, 21 Apr 2026 17:35:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact331

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [aatal niet werken...] [2009-10-21 18:15:13] [8aa2720a1fbf81ca84b2e99ab4a134db] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89507
87562
85209
82360
79054
79069
107551
115759
115585
110260
103444
102303
101397
97994
94044
91159
87239
89235
118647
125620
125154
117529
109459
108483
107137
104699
100804
96066
91971
93228
120144
127233
127166
118194
109940
106683
102834
99882
96666
92540
88744
89321
115870
122401
122030
113802
105791
103076
98658
96945
92497
90687
88796
90015
113228
118711
117460
106556
97347
92657
93118
89037
83570
81693
75956
73993
97088
102394
96549
89727
82336
82653
82303
79596
74472
73562
66618
69029
89899
93774
90305
83799
80320
82497

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49562&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49562&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49562&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0167831.91928941252773.47656315812
0.0269743.9726787713033.10959747962
0.0371659.44556115492793.723917779
0.0473272.13367952432458.22530433616
0.0574591.10823563122363.35720722339
0.0675724.4679940772429.54875199318
0.0776752.52403978412467.4312143726
0.0877701.89830322242399.86064678729
0.0978568.38318999782246.45613224493
0.179343.36455702672057.85347504137
0.1180026.35420063071873.86390833866
0.1280625.87589156481713.88016635497
0.1381156.19525642211588.64723621886
0.1481634.56319832051511.08607969834
0.1582079.79108521081496.97240491239
0.1682511.15815640141556.29338680186
0.1782946.76901594051683.66166388056
0.1883401.33739819831857.6394167623
0.1983884.02564284712047.51460789866
0.284397.09325537462220.34827349649
0.2184935.82015379182347.89588572827
0.2285489.73324407192410.52793169198
0.2386044.79328479422399.89513792936
0.2486585.99812710122318.80188328604
0.2587099.84096780652180.06295947322
0.2687576.18558082492002.87566060804
0.2788009.31923231311809.06076721480
0.2888398.15262190631619.91096651250
0.2988745.70387910691453.62065156500
0.389058.10250169531322.87129049480
0.3189343.37555744981234.87450362167
0.3289610.24778345671190.64057191097
0.3389867.12397907431185.25460809725
0.3490121.35019853821211.26324458992
0.3590378.78621065711259.59046823776
0.3690643.6726962411321.08668053335
0.3790918.74278717771388.87668550820
0.3891205.50595695861458.38795264186
0.3991504.62081313341526.97239387218
0.491816.27216341751594.29441629417
0.4192140.47843267121661.21586448938
0.4292477.27884284271729.17612233427
0.4392826.78331569171798.96971102295
0.4493189.105329181870.36371319807
0.4593564.22953619381941.64089983788
0.4693951.88239933982010.21299855093
0.4794351.46949306832073.28537992632
0.4894762.11780614532128.85788580204
0.4995182.82259515242176.23856587078
0.595612.65841093832216.89725459585
0.5196050.98633746062253.54214038555
0.5296497.5842919632289.97981245697
0.5396952.6473397422328.90065911331
0.5497416.64475896852372.17154159837
0.5597890.06745804382418.82720759319
0.5698373.13776326262466.21479674952
0.5798865.57027354542509.72761305148
0.5899366.46098694932544.78037432966
0.5999874.34507035662568.16616297367
0.6100387.4129218682578.12091310533
0.61100903.8260713892575.67439728972
0.62101422.0451348612564.08229032135
0.63101941.0817748252547.59508994942
0.64102460.6160686882530.76795611906
0.65102980.9701535722517.13397087627
0.66103502.9813156722508.2845550939
0.67104027.8537685862504.93376576542
0.68104557.0739193042506.80534360758
0.69105092.4447190462513.85587689509
0.7105636.2385937202528.20385222678
0.71106191.4032940882553.2120461539
0.72106761.7031719882593.62206562056
0.73107351.6599243352653.87059698688
0.74107966.1835278202736.34921688786
0.75108609.8558462842838.29125123914
0.76109285.9333230892951.90251204854
0.77109995.2466638283063.37025575513
0.78110735.2615562833155.21822720440
0.79111499.5909969813208.86493815161
0.8112278.1927475523208.83608852837
0.81113058.3456684463145.576269121
0.82113826.3117717293018.89553844
0.83114569.4218117152838.18453197170
0.84115278.2381111212620.94807628744
0.85115948.4761840462390.80211775014
0.86116582.4633980232173.89609133983
0.87117189.9801264861996.89899343430
0.88117788.2864274321884.66555773145
0.89118401.0144280721855.89205052629
0.9119055.5604437391914.98045174894
0.91119778.8089721342044.48444930127
0.92120591.4738016122206.34343600430
0.93121501.9058249142349.66744329391
0.94122500.7521670952419.14962857491
0.95123557.9741224112363.717456045
0.96124622.2157329762152.79034211759
0.97125619.3093103121786.93147351537
0.98126449.5351127171267.48247201337
0.99127003.722505267606.461131898332

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 67831.9192894125 & 2773.47656315812 \tabularnewline
0.02 & 69743.972678771 & 3033.10959747962 \tabularnewline
0.03 & 71659.4455611549 & 2793.723917779 \tabularnewline
0.04 & 73272.1336795243 & 2458.22530433616 \tabularnewline
0.05 & 74591.1082356312 & 2363.35720722339 \tabularnewline
0.06 & 75724.467994077 & 2429.54875199318 \tabularnewline
0.07 & 76752.5240397841 & 2467.4312143726 \tabularnewline
0.08 & 77701.8983032224 & 2399.86064678729 \tabularnewline
0.09 & 78568.3831899978 & 2246.45613224493 \tabularnewline
0.1 & 79343.3645570267 & 2057.85347504137 \tabularnewline
0.11 & 80026.3542006307 & 1873.86390833866 \tabularnewline
0.12 & 80625.8758915648 & 1713.88016635497 \tabularnewline
0.13 & 81156.1952564221 & 1588.64723621886 \tabularnewline
0.14 & 81634.5631983205 & 1511.08607969834 \tabularnewline
0.15 & 82079.7910852108 & 1496.97240491239 \tabularnewline
0.16 & 82511.1581564014 & 1556.29338680186 \tabularnewline
0.17 & 82946.7690159405 & 1683.66166388056 \tabularnewline
0.18 & 83401.3373981983 & 1857.6394167623 \tabularnewline
0.19 & 83884.0256428471 & 2047.51460789866 \tabularnewline
0.2 & 84397.0932553746 & 2220.34827349649 \tabularnewline
0.21 & 84935.8201537918 & 2347.89588572827 \tabularnewline
0.22 & 85489.7332440719 & 2410.52793169198 \tabularnewline
0.23 & 86044.7932847942 & 2399.89513792936 \tabularnewline
0.24 & 86585.9981271012 & 2318.80188328604 \tabularnewline
0.25 & 87099.8409678065 & 2180.06295947322 \tabularnewline
0.26 & 87576.1855808249 & 2002.87566060804 \tabularnewline
0.27 & 88009.3192323131 & 1809.06076721480 \tabularnewline
0.28 & 88398.1526219063 & 1619.91096651250 \tabularnewline
0.29 & 88745.7038791069 & 1453.62065156500 \tabularnewline
0.3 & 89058.1025016953 & 1322.87129049480 \tabularnewline
0.31 & 89343.3755574498 & 1234.87450362167 \tabularnewline
0.32 & 89610.2477834567 & 1190.64057191097 \tabularnewline
0.33 & 89867.1239790743 & 1185.25460809725 \tabularnewline
0.34 & 90121.3501985382 & 1211.26324458992 \tabularnewline
0.35 & 90378.7862106571 & 1259.59046823776 \tabularnewline
0.36 & 90643.672696241 & 1321.08668053335 \tabularnewline
0.37 & 90918.7427871777 & 1388.87668550820 \tabularnewline
0.38 & 91205.5059569586 & 1458.38795264186 \tabularnewline
0.39 & 91504.6208131334 & 1526.97239387218 \tabularnewline
0.4 & 91816.2721634175 & 1594.29441629417 \tabularnewline
0.41 & 92140.4784326712 & 1661.21586448938 \tabularnewline
0.42 & 92477.2788428427 & 1729.17612233427 \tabularnewline
0.43 & 92826.7833156917 & 1798.96971102295 \tabularnewline
0.44 & 93189.10532918 & 1870.36371319807 \tabularnewline
0.45 & 93564.2295361938 & 1941.64089983788 \tabularnewline
0.46 & 93951.8823993398 & 2010.21299855093 \tabularnewline
0.47 & 94351.4694930683 & 2073.28537992632 \tabularnewline
0.48 & 94762.1178061453 & 2128.85788580204 \tabularnewline
0.49 & 95182.8225951524 & 2176.23856587078 \tabularnewline
0.5 & 95612.6584109383 & 2216.89725459585 \tabularnewline
0.51 & 96050.9863374606 & 2253.54214038555 \tabularnewline
0.52 & 96497.584291963 & 2289.97981245697 \tabularnewline
0.53 & 96952.647339742 & 2328.90065911331 \tabularnewline
0.54 & 97416.6447589685 & 2372.17154159837 \tabularnewline
0.55 & 97890.0674580438 & 2418.82720759319 \tabularnewline
0.56 & 98373.1377632626 & 2466.21479674952 \tabularnewline
0.57 & 98865.5702735454 & 2509.72761305148 \tabularnewline
0.58 & 99366.4609869493 & 2544.78037432966 \tabularnewline
0.59 & 99874.3450703566 & 2568.16616297367 \tabularnewline
0.6 & 100387.412921868 & 2578.12091310533 \tabularnewline
0.61 & 100903.826071389 & 2575.67439728972 \tabularnewline
0.62 & 101422.045134861 & 2564.08229032135 \tabularnewline
0.63 & 101941.081774825 & 2547.59508994942 \tabularnewline
0.64 & 102460.616068688 & 2530.76795611906 \tabularnewline
0.65 & 102980.970153572 & 2517.13397087627 \tabularnewline
0.66 & 103502.981315672 & 2508.2845550939 \tabularnewline
0.67 & 104027.853768586 & 2504.93376576542 \tabularnewline
0.68 & 104557.073919304 & 2506.80534360758 \tabularnewline
0.69 & 105092.444719046 & 2513.85587689509 \tabularnewline
0.7 & 105636.238593720 & 2528.20385222678 \tabularnewline
0.71 & 106191.403294088 & 2553.2120461539 \tabularnewline
0.72 & 106761.703171988 & 2593.62206562056 \tabularnewline
0.73 & 107351.659924335 & 2653.87059698688 \tabularnewline
0.74 & 107966.183527820 & 2736.34921688786 \tabularnewline
0.75 & 108609.855846284 & 2838.29125123914 \tabularnewline
0.76 & 109285.933323089 & 2951.90251204854 \tabularnewline
0.77 & 109995.246663828 & 3063.37025575513 \tabularnewline
0.78 & 110735.261556283 & 3155.21822720440 \tabularnewline
0.79 & 111499.590996981 & 3208.86493815161 \tabularnewline
0.8 & 112278.192747552 & 3208.83608852837 \tabularnewline
0.81 & 113058.345668446 & 3145.576269121 \tabularnewline
0.82 & 113826.311771729 & 3018.89553844 \tabularnewline
0.83 & 114569.421811715 & 2838.18453197170 \tabularnewline
0.84 & 115278.238111121 & 2620.94807628744 \tabularnewline
0.85 & 115948.476184046 & 2390.80211775014 \tabularnewline
0.86 & 116582.463398023 & 2173.89609133983 \tabularnewline
0.87 & 117189.980126486 & 1996.89899343430 \tabularnewline
0.88 & 117788.286427432 & 1884.66555773145 \tabularnewline
0.89 & 118401.014428072 & 1855.89205052629 \tabularnewline
0.9 & 119055.560443739 & 1914.98045174894 \tabularnewline
0.91 & 119778.808972134 & 2044.48444930127 \tabularnewline
0.92 & 120591.473801612 & 2206.34343600430 \tabularnewline
0.93 & 121501.905824914 & 2349.66744329391 \tabularnewline
0.94 & 122500.752167095 & 2419.14962857491 \tabularnewline
0.95 & 123557.974122411 & 2363.717456045 \tabularnewline
0.96 & 124622.215732976 & 2152.79034211759 \tabularnewline
0.97 & 125619.309310312 & 1786.93147351537 \tabularnewline
0.98 & 126449.535112717 & 1267.48247201337 \tabularnewline
0.99 & 127003.722505267 & 606.461131898332 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49562&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]67831.9192894125[/C][C]2773.47656315812[/C][/ROW]
[ROW][C]0.02[/C][C]69743.972678771[/C][C]3033.10959747962[/C][/ROW]
[ROW][C]0.03[/C][C]71659.4455611549[/C][C]2793.723917779[/C][/ROW]
[ROW][C]0.04[/C][C]73272.1336795243[/C][C]2458.22530433616[/C][/ROW]
[ROW][C]0.05[/C][C]74591.1082356312[/C][C]2363.35720722339[/C][/ROW]
[ROW][C]0.06[/C][C]75724.467994077[/C][C]2429.54875199318[/C][/ROW]
[ROW][C]0.07[/C][C]76752.5240397841[/C][C]2467.4312143726[/C][/ROW]
[ROW][C]0.08[/C][C]77701.8983032224[/C][C]2399.86064678729[/C][/ROW]
[ROW][C]0.09[/C][C]78568.3831899978[/C][C]2246.45613224493[/C][/ROW]
[ROW][C]0.1[/C][C]79343.3645570267[/C][C]2057.85347504137[/C][/ROW]
[ROW][C]0.11[/C][C]80026.3542006307[/C][C]1873.86390833866[/C][/ROW]
[ROW][C]0.12[/C][C]80625.8758915648[/C][C]1713.88016635497[/C][/ROW]
[ROW][C]0.13[/C][C]81156.1952564221[/C][C]1588.64723621886[/C][/ROW]
[ROW][C]0.14[/C][C]81634.5631983205[/C][C]1511.08607969834[/C][/ROW]
[ROW][C]0.15[/C][C]82079.7910852108[/C][C]1496.97240491239[/C][/ROW]
[ROW][C]0.16[/C][C]82511.1581564014[/C][C]1556.29338680186[/C][/ROW]
[ROW][C]0.17[/C][C]82946.7690159405[/C][C]1683.66166388056[/C][/ROW]
[ROW][C]0.18[/C][C]83401.3373981983[/C][C]1857.6394167623[/C][/ROW]
[ROW][C]0.19[/C][C]83884.0256428471[/C][C]2047.51460789866[/C][/ROW]
[ROW][C]0.2[/C][C]84397.0932553746[/C][C]2220.34827349649[/C][/ROW]
[ROW][C]0.21[/C][C]84935.8201537918[/C][C]2347.89588572827[/C][/ROW]
[ROW][C]0.22[/C][C]85489.7332440719[/C][C]2410.52793169198[/C][/ROW]
[ROW][C]0.23[/C][C]86044.7932847942[/C][C]2399.89513792936[/C][/ROW]
[ROW][C]0.24[/C][C]86585.9981271012[/C][C]2318.80188328604[/C][/ROW]
[ROW][C]0.25[/C][C]87099.8409678065[/C][C]2180.06295947322[/C][/ROW]
[ROW][C]0.26[/C][C]87576.1855808249[/C][C]2002.87566060804[/C][/ROW]
[ROW][C]0.27[/C][C]88009.3192323131[/C][C]1809.06076721480[/C][/ROW]
[ROW][C]0.28[/C][C]88398.1526219063[/C][C]1619.91096651250[/C][/ROW]
[ROW][C]0.29[/C][C]88745.7038791069[/C][C]1453.62065156500[/C][/ROW]
[ROW][C]0.3[/C][C]89058.1025016953[/C][C]1322.87129049480[/C][/ROW]
[ROW][C]0.31[/C][C]89343.3755574498[/C][C]1234.87450362167[/C][/ROW]
[ROW][C]0.32[/C][C]89610.2477834567[/C][C]1190.64057191097[/C][/ROW]
[ROW][C]0.33[/C][C]89867.1239790743[/C][C]1185.25460809725[/C][/ROW]
[ROW][C]0.34[/C][C]90121.3501985382[/C][C]1211.26324458992[/C][/ROW]
[ROW][C]0.35[/C][C]90378.7862106571[/C][C]1259.59046823776[/C][/ROW]
[ROW][C]0.36[/C][C]90643.672696241[/C][C]1321.08668053335[/C][/ROW]
[ROW][C]0.37[/C][C]90918.7427871777[/C][C]1388.87668550820[/C][/ROW]
[ROW][C]0.38[/C][C]91205.5059569586[/C][C]1458.38795264186[/C][/ROW]
[ROW][C]0.39[/C][C]91504.6208131334[/C][C]1526.97239387218[/C][/ROW]
[ROW][C]0.4[/C][C]91816.2721634175[/C][C]1594.29441629417[/C][/ROW]
[ROW][C]0.41[/C][C]92140.4784326712[/C][C]1661.21586448938[/C][/ROW]
[ROW][C]0.42[/C][C]92477.2788428427[/C][C]1729.17612233427[/C][/ROW]
[ROW][C]0.43[/C][C]92826.7833156917[/C][C]1798.96971102295[/C][/ROW]
[ROW][C]0.44[/C][C]93189.10532918[/C][C]1870.36371319807[/C][/ROW]
[ROW][C]0.45[/C][C]93564.2295361938[/C][C]1941.64089983788[/C][/ROW]
[ROW][C]0.46[/C][C]93951.8823993398[/C][C]2010.21299855093[/C][/ROW]
[ROW][C]0.47[/C][C]94351.4694930683[/C][C]2073.28537992632[/C][/ROW]
[ROW][C]0.48[/C][C]94762.1178061453[/C][C]2128.85788580204[/C][/ROW]
[ROW][C]0.49[/C][C]95182.8225951524[/C][C]2176.23856587078[/C][/ROW]
[ROW][C]0.5[/C][C]95612.6584109383[/C][C]2216.89725459585[/C][/ROW]
[ROW][C]0.51[/C][C]96050.9863374606[/C][C]2253.54214038555[/C][/ROW]
[ROW][C]0.52[/C][C]96497.584291963[/C][C]2289.97981245697[/C][/ROW]
[ROW][C]0.53[/C][C]96952.647339742[/C][C]2328.90065911331[/C][/ROW]
[ROW][C]0.54[/C][C]97416.6447589685[/C][C]2372.17154159837[/C][/ROW]
[ROW][C]0.55[/C][C]97890.0674580438[/C][C]2418.82720759319[/C][/ROW]
[ROW][C]0.56[/C][C]98373.1377632626[/C][C]2466.21479674952[/C][/ROW]
[ROW][C]0.57[/C][C]98865.5702735454[/C][C]2509.72761305148[/C][/ROW]
[ROW][C]0.58[/C][C]99366.4609869493[/C][C]2544.78037432966[/C][/ROW]
[ROW][C]0.59[/C][C]99874.3450703566[/C][C]2568.16616297367[/C][/ROW]
[ROW][C]0.6[/C][C]100387.412921868[/C][C]2578.12091310533[/C][/ROW]
[ROW][C]0.61[/C][C]100903.826071389[/C][C]2575.67439728972[/C][/ROW]
[ROW][C]0.62[/C][C]101422.045134861[/C][C]2564.08229032135[/C][/ROW]
[ROW][C]0.63[/C][C]101941.081774825[/C][C]2547.59508994942[/C][/ROW]
[ROW][C]0.64[/C][C]102460.616068688[/C][C]2530.76795611906[/C][/ROW]
[ROW][C]0.65[/C][C]102980.970153572[/C][C]2517.13397087627[/C][/ROW]
[ROW][C]0.66[/C][C]103502.981315672[/C][C]2508.2845550939[/C][/ROW]
[ROW][C]0.67[/C][C]104027.853768586[/C][C]2504.93376576542[/C][/ROW]
[ROW][C]0.68[/C][C]104557.073919304[/C][C]2506.80534360758[/C][/ROW]
[ROW][C]0.69[/C][C]105092.444719046[/C][C]2513.85587689509[/C][/ROW]
[ROW][C]0.7[/C][C]105636.238593720[/C][C]2528.20385222678[/C][/ROW]
[ROW][C]0.71[/C][C]106191.403294088[/C][C]2553.2120461539[/C][/ROW]
[ROW][C]0.72[/C][C]106761.703171988[/C][C]2593.62206562056[/C][/ROW]
[ROW][C]0.73[/C][C]107351.659924335[/C][C]2653.87059698688[/C][/ROW]
[ROW][C]0.74[/C][C]107966.183527820[/C][C]2736.34921688786[/C][/ROW]
[ROW][C]0.75[/C][C]108609.855846284[/C][C]2838.29125123914[/C][/ROW]
[ROW][C]0.76[/C][C]109285.933323089[/C][C]2951.90251204854[/C][/ROW]
[ROW][C]0.77[/C][C]109995.246663828[/C][C]3063.37025575513[/C][/ROW]
[ROW][C]0.78[/C][C]110735.261556283[/C][C]3155.21822720440[/C][/ROW]
[ROW][C]0.79[/C][C]111499.590996981[/C][C]3208.86493815161[/C][/ROW]
[ROW][C]0.8[/C][C]112278.192747552[/C][C]3208.83608852837[/C][/ROW]
[ROW][C]0.81[/C][C]113058.345668446[/C][C]3145.576269121[/C][/ROW]
[ROW][C]0.82[/C][C]113826.311771729[/C][C]3018.89553844[/C][/ROW]
[ROW][C]0.83[/C][C]114569.421811715[/C][C]2838.18453197170[/C][/ROW]
[ROW][C]0.84[/C][C]115278.238111121[/C][C]2620.94807628744[/C][/ROW]
[ROW][C]0.85[/C][C]115948.476184046[/C][C]2390.80211775014[/C][/ROW]
[ROW][C]0.86[/C][C]116582.463398023[/C][C]2173.89609133983[/C][/ROW]
[ROW][C]0.87[/C][C]117189.980126486[/C][C]1996.89899343430[/C][/ROW]
[ROW][C]0.88[/C][C]117788.286427432[/C][C]1884.66555773145[/C][/ROW]
[ROW][C]0.89[/C][C]118401.014428072[/C][C]1855.89205052629[/C][/ROW]
[ROW][C]0.9[/C][C]119055.560443739[/C][C]1914.98045174894[/C][/ROW]
[ROW][C]0.91[/C][C]119778.808972134[/C][C]2044.48444930127[/C][/ROW]
[ROW][C]0.92[/C][C]120591.473801612[/C][C]2206.34343600430[/C][/ROW]
[ROW][C]0.93[/C][C]121501.905824914[/C][C]2349.66744329391[/C][/ROW]
[ROW][C]0.94[/C][C]122500.752167095[/C][C]2419.14962857491[/C][/ROW]
[ROW][C]0.95[/C][C]123557.974122411[/C][C]2363.717456045[/C][/ROW]
[ROW][C]0.96[/C][C]124622.215732976[/C][C]2152.79034211759[/C][/ROW]
[ROW][C]0.97[/C][C]125619.309310312[/C][C]1786.93147351537[/C][/ROW]
[ROW][C]0.98[/C][C]126449.535112717[/C][C]1267.48247201337[/C][/ROW]
[ROW][C]0.99[/C][C]127003.722505267[/C][C]606.461131898332[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49562&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49562&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
0.0167831.91928941252773.47656315812
0.0269743.9726787713033.10959747962
0.0371659.44556115492793.723917779
0.0473272.13367952432458.22530433616
0.0574591.10823563122363.35720722339
0.0675724.4679940772429.54875199318
0.0776752.52403978412467.4312143726
0.0877701.89830322242399.86064678729
0.0978568.38318999782246.45613224493
0.179343.36455702672057.85347504137
0.1180026.35420063071873.86390833866
0.1280625.87589156481713.88016635497
0.1381156.19525642211588.64723621886
0.1481634.56319832051511.08607969834
0.1582079.79108521081496.97240491239
0.1682511.15815640141556.29338680186
0.1782946.76901594051683.66166388056
0.1883401.33739819831857.6394167623
0.1983884.02564284712047.51460789866
0.284397.09325537462220.34827349649
0.2184935.82015379182347.89588572827
0.2285489.73324407192410.52793169198
0.2386044.79328479422399.89513792936
0.2486585.99812710122318.80188328604
0.2587099.84096780652180.06295947322
0.2687576.18558082492002.87566060804
0.2788009.31923231311809.06076721480
0.2888398.15262190631619.91096651250
0.2988745.70387910691453.62065156500
0.389058.10250169531322.87129049480
0.3189343.37555744981234.87450362167
0.3289610.24778345671190.64057191097
0.3389867.12397907431185.25460809725
0.3490121.35019853821211.26324458992
0.3590378.78621065711259.59046823776
0.3690643.6726962411321.08668053335
0.3790918.74278717771388.87668550820
0.3891205.50595695861458.38795264186
0.3991504.62081313341526.97239387218
0.491816.27216341751594.29441629417
0.4192140.47843267121661.21586448938
0.4292477.27884284271729.17612233427
0.4392826.78331569171798.96971102295
0.4493189.105329181870.36371319807
0.4593564.22953619381941.64089983788
0.4693951.88239933982010.21299855093
0.4794351.46949306832073.28537992632
0.4894762.11780614532128.85788580204
0.4995182.82259515242176.23856587078
0.595612.65841093832216.89725459585
0.5196050.98633746062253.54214038555
0.5296497.5842919632289.97981245697
0.5396952.6473397422328.90065911331
0.5497416.64475896852372.17154159837
0.5597890.06745804382418.82720759319
0.5698373.13776326262466.21479674952
0.5798865.57027354542509.72761305148
0.5899366.46098694932544.78037432966
0.5999874.34507035662568.16616297367
0.6100387.4129218682578.12091310533
0.61100903.8260713892575.67439728972
0.62101422.0451348612564.08229032135
0.63101941.0817748252547.59508994942
0.64102460.6160686882530.76795611906
0.65102980.9701535722517.13397087627
0.66103502.9813156722508.2845550939
0.67104027.8537685862504.93376576542
0.68104557.0739193042506.80534360758
0.69105092.4447190462513.85587689509
0.7105636.2385937202528.20385222678
0.71106191.4032940882553.2120461539
0.72106761.7031719882593.62206562056
0.73107351.6599243352653.87059698688
0.74107966.1835278202736.34921688786
0.75108609.8558462842838.29125123914
0.76109285.9333230892951.90251204854
0.77109995.2466638283063.37025575513
0.78110735.2615562833155.21822720440
0.79111499.5909969813208.86493815161
0.8112278.1927475523208.83608852837
0.81113058.3456684463145.576269121
0.82113826.3117717293018.89553844
0.83114569.4218117152838.18453197170
0.84115278.2381111212620.94807628744
0.85115948.4761840462390.80211775014
0.86116582.4633980232173.89609133983
0.87117189.9801264861996.89899343430
0.88117788.2864274321884.66555773145
0.89118401.0144280721855.89205052629
0.9119055.5604437391914.98045174894
0.91119778.8089721342044.48444930127
0.92120591.4738016122206.34343600430
0.93121501.9058249142349.66744329391
0.94122500.7521670952419.14962857491
0.95123557.9741224112363.717456045
0.96124622.2157329762152.79034211759
0.97125619.3093103121786.93147351537
0.98126449.5351127171267.48247201337
0.99127003.722505267606.461131898332


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):
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')