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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 computationWed, 13 Oct 2010 00:04:28 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/13/t1286928196kv26p7r7x6su73q.htm/, Retrieved Mon, 06 May 2024 15:18:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83066, Retrieved Mon, 06 May 2024 15:18:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact194

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] [H-D Perceptielen ...] [2010-10-13 00:04:28] [836c64735fc21f091fd80eb090cba4d6] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
89,3
88,1
93,6
79,7
83,8
62,3
62,3
77,6
80,3
97
94
75,1
74
77,6
75,1
85
75,4
63,2
64,7
77
82,6
97,6
99
75,3
71,6
76,8
83,9
79,7
77,5
73,1
65,6
85,2
98,3
98
100,6
84,1
76,7
82,4
95,5
79,9
82,4
83,6
73,1
91,1
118,6
102,9
111,8
93,9
91,6
92
91,1
97,5
94,7
96,7
78,7
103,5
113,8
106,1
120,3
114,2
106,3
98,8
113,1
97,7
116,3
107,2
94,5
123,5
126,6
126,5
141,4
124,3
124,9
108,9
126,7
107,7
121,8
118,3
122,8
149,5
147
139,3
162,1
142,2
141,4
124,7
114
126,6
121,9
125,1
122,1
135,9
148,4
137,5
145,3
139,9
128,2
115,4
124,7
111,5
121,1
122,5
127,4
143,7
157,8
148,8
162,9
153,9

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=83066&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=83066&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83066&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
0.0162.58977097024650.730424287617535
0.0263.47654419777461.88787261506289
0.0364.98612580393273.04971930657290
0.0466.91673643655033.79498010161401
0.0568.95578551370483.85828347022409
0.0670.81000301325573.36148672598667
0.0772.31474709387862.65940338340764
0.0873.45414785176912.04889226515709
0.0974.30376647478981.64434727260122
0.174.96123166100271.42599363649799
0.1175.50653032484521.33263600858916
0.1275.99277888046181.31254899661683
0.1376.45192755790241.33646178122566
0.1476.9032112029161.39276958878869
0.1577.35933749755161.47839939247382
0.1677.82961562451751.58992939221496
0.1778.3208115081311.71950834939541
0.1878.83693034835291.85619607188507
0.1979.3789982921111.98823369165176
0.279.94546946863642.10814212048729
0.2180.53336431149642.21379151831108
0.2281.13985644069032.3099114427085
0.2381.76383411202232.40762798258840
0.2482.40693719293272.52172006998175
0.2583.07367878307182.66541813844553
0.2683.77049218940382.84458448894778
0.2784.50386756264973.05379532513971
0.2885.27806639041573.27525019950672
0.2986.09309579018623.48383838537812
0.386.943588531983.65212424544879
0.3187.81896363954083.7577888810256
0.3288.70483672579233.78895047672449
0.3389.58526780062393.74548587060758
0.3490.44521878711613.63764090710867
0.3591.27260665070323.48404379505039
0.3692.05954790980773.30580587240393
0.3792.8026942745173.12354762104878
0.3893.50283742485072.95345485140867
0.3994.16412401203242.80771844137153
0.494.7932365446082.69511214304969
0.4195.39878445584572.62219174764255
0.4295.9909721257072.59644246968398
0.4396.58143866806912.62501587546858
0.4497.18305844841712.7152536792808
0.4597.80948462144012.87160561528844
0.4698.47430834237473.09148590427815
0.4799.18985848897313.36535639837391
0.4899.9658244087933.67561495951877
0.49100.8079893972943.99921239284678
0.5101.7173766243824.31134163283935
0.51102.6900270641024.58829256126186
0.52103.7174806297464.81144645010024
0.53104.7878690061134.96909592755296
0.54105.8874032561265.05666896473979
0.55107.0019820222495.07789677952088
0.56108.1186578551745.04150188127093
0.57109.2267568278334.96115999822341
0.58110.3185204232624.85108545244479
0.59111.3892099104704.72618038789808
0.6112.4366812854294.59796091100486
0.61113.4605133118974.47326289443122
0.62114.4608565359244.35285331386396
0.63115.4372524461784.23132148425245
0.64116.3877152455974.0988630839557
0.65117.3083373635263.9449504994248
0.66118.1935589206043.76180792361549
0.67119.0370551458993.54735672979052
0.68119.8330060317733.30655627378339
0.69120.5773952431193.05050958376561
0.7121.2689957797852.79451482355365
0.71121.9098443232132.55400405778849
0.72122.5052348620522.34287728085885
0.73123.0634877742012.17171206660381
0.74123.5958806128982.04929988604055
0.75124.1170925095861.98631891186386
0.76124.6462842997911.99886670498659
0.77125.2085253908402.11050680134713
0.78125.8357654391172.3491654546703
0.79126.5661158264472.73543993987047
0.8127.4401517489063.26786006891862
0.81128.4936024618863.90952439477447
0.82129.7472987123764.58297482267209
0.83131.1972323835855.18039914213477
0.84132.809082695085.58701573803876
0.85134.5213246796145.71772484611558
0.86136.2583222825595.55082217210169
0.87137.9502324951605.14258295332668
0.88139.5522611120944.61294493881611
0.89141.0546523299204.10158329564932
0.9142.4786927450643.70891501595126
0.91143.8624664579953.45376264286908
0.92145.2492971084693.29159765011033
0.93146.6945450513153.1997004169125
0.94148.2941557734793.26348597551976
0.95150.2088463840153.63822653265647
0.96152.6271826983764.29535663156463
0.97155.6144312064074.80703762244967
0.98158.8702330667614.43898890721902
0.99161.5981922784972.6653112598063

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 62.5897709702465 & 0.730424287617535 \tabularnewline
0.02 & 63.4765441977746 & 1.88787261506289 \tabularnewline
0.03 & 64.9861258039327 & 3.04971930657290 \tabularnewline
0.04 & 66.9167364365503 & 3.79498010161401 \tabularnewline
0.05 & 68.9557855137048 & 3.85828347022409 \tabularnewline
0.06 & 70.8100030132557 & 3.36148672598667 \tabularnewline
0.07 & 72.3147470938786 & 2.65940338340764 \tabularnewline
0.08 & 73.4541478517691 & 2.04889226515709 \tabularnewline
0.09 & 74.3037664747898 & 1.64434727260122 \tabularnewline
0.1 & 74.9612316610027 & 1.42599363649799 \tabularnewline
0.11 & 75.5065303248452 & 1.33263600858916 \tabularnewline
0.12 & 75.9927788804618 & 1.31254899661683 \tabularnewline
0.13 & 76.4519275579024 & 1.33646178122566 \tabularnewline
0.14 & 76.903211202916 & 1.39276958878869 \tabularnewline
0.15 & 77.3593374975516 & 1.47839939247382 \tabularnewline
0.16 & 77.8296156245175 & 1.58992939221496 \tabularnewline
0.17 & 78.320811508131 & 1.71950834939541 \tabularnewline
0.18 & 78.8369303483529 & 1.85619607188507 \tabularnewline
0.19 & 79.378998292111 & 1.98823369165176 \tabularnewline
0.2 & 79.9454694686364 & 2.10814212048729 \tabularnewline
0.21 & 80.5333643114964 & 2.21379151831108 \tabularnewline
0.22 & 81.1398564406903 & 2.3099114427085 \tabularnewline
0.23 & 81.7638341120223 & 2.40762798258840 \tabularnewline
0.24 & 82.4069371929327 & 2.52172006998175 \tabularnewline
0.25 & 83.0736787830718 & 2.66541813844553 \tabularnewline
0.26 & 83.7704921894038 & 2.84458448894778 \tabularnewline
0.27 & 84.5038675626497 & 3.05379532513971 \tabularnewline
0.28 & 85.2780663904157 & 3.27525019950672 \tabularnewline
0.29 & 86.0930957901862 & 3.48383838537812 \tabularnewline
0.3 & 86.94358853198 & 3.65212424544879 \tabularnewline
0.31 & 87.8189636395408 & 3.7577888810256 \tabularnewline
0.32 & 88.7048367257923 & 3.78895047672449 \tabularnewline
0.33 & 89.5852678006239 & 3.74548587060758 \tabularnewline
0.34 & 90.4452187871161 & 3.63764090710867 \tabularnewline
0.35 & 91.2726066507032 & 3.48404379505039 \tabularnewline
0.36 & 92.0595479098077 & 3.30580587240393 \tabularnewline
0.37 & 92.802694274517 & 3.12354762104878 \tabularnewline
0.38 & 93.5028374248507 & 2.95345485140867 \tabularnewline
0.39 & 94.1641240120324 & 2.80771844137153 \tabularnewline
0.4 & 94.793236544608 & 2.69511214304969 \tabularnewline
0.41 & 95.3987844558457 & 2.62219174764255 \tabularnewline
0.42 & 95.990972125707 & 2.59644246968398 \tabularnewline
0.43 & 96.5814386680691 & 2.62501587546858 \tabularnewline
0.44 & 97.1830584484171 & 2.7152536792808 \tabularnewline
0.45 & 97.8094846214401 & 2.87160561528844 \tabularnewline
0.46 & 98.4743083423747 & 3.09148590427815 \tabularnewline
0.47 & 99.1898584889731 & 3.36535639837391 \tabularnewline
0.48 & 99.965824408793 & 3.67561495951877 \tabularnewline
0.49 & 100.807989397294 & 3.99921239284678 \tabularnewline
0.5 & 101.717376624382 & 4.31134163283935 \tabularnewline
0.51 & 102.690027064102 & 4.58829256126186 \tabularnewline
0.52 & 103.717480629746 & 4.81144645010024 \tabularnewline
0.53 & 104.787869006113 & 4.96909592755296 \tabularnewline
0.54 & 105.887403256126 & 5.05666896473979 \tabularnewline
0.55 & 107.001982022249 & 5.07789677952088 \tabularnewline
0.56 & 108.118657855174 & 5.04150188127093 \tabularnewline
0.57 & 109.226756827833 & 4.96115999822341 \tabularnewline
0.58 & 110.318520423262 & 4.85108545244479 \tabularnewline
0.59 & 111.389209910470 & 4.72618038789808 \tabularnewline
0.6 & 112.436681285429 & 4.59796091100486 \tabularnewline
0.61 & 113.460513311897 & 4.47326289443122 \tabularnewline
0.62 & 114.460856535924 & 4.35285331386396 \tabularnewline
0.63 & 115.437252446178 & 4.23132148425245 \tabularnewline
0.64 & 116.387715245597 & 4.0988630839557 \tabularnewline
0.65 & 117.308337363526 & 3.9449504994248 \tabularnewline
0.66 & 118.193558920604 & 3.76180792361549 \tabularnewline
0.67 & 119.037055145899 & 3.54735672979052 \tabularnewline
0.68 & 119.833006031773 & 3.30655627378339 \tabularnewline
0.69 & 120.577395243119 & 3.05050958376561 \tabularnewline
0.7 & 121.268995779785 & 2.79451482355365 \tabularnewline
0.71 & 121.909844323213 & 2.55400405778849 \tabularnewline
0.72 & 122.505234862052 & 2.34287728085885 \tabularnewline
0.73 & 123.063487774201 & 2.17171206660381 \tabularnewline
0.74 & 123.595880612898 & 2.04929988604055 \tabularnewline
0.75 & 124.117092509586 & 1.98631891186386 \tabularnewline
0.76 & 124.646284299791 & 1.99886670498659 \tabularnewline
0.77 & 125.208525390840 & 2.11050680134713 \tabularnewline
0.78 & 125.835765439117 & 2.3491654546703 \tabularnewline
0.79 & 126.566115826447 & 2.73543993987047 \tabularnewline
0.8 & 127.440151748906 & 3.26786006891862 \tabularnewline
0.81 & 128.493602461886 & 3.90952439477447 \tabularnewline
0.82 & 129.747298712376 & 4.58297482267209 \tabularnewline
0.83 & 131.197232383585 & 5.18039914213477 \tabularnewline
0.84 & 132.80908269508 & 5.58701573803876 \tabularnewline
0.85 & 134.521324679614 & 5.71772484611558 \tabularnewline
0.86 & 136.258322282559 & 5.55082217210169 \tabularnewline
0.87 & 137.950232495160 & 5.14258295332668 \tabularnewline
0.88 & 139.552261112094 & 4.61294493881611 \tabularnewline
0.89 & 141.054652329920 & 4.10158329564932 \tabularnewline
0.9 & 142.478692745064 & 3.70891501595126 \tabularnewline
0.91 & 143.862466457995 & 3.45376264286908 \tabularnewline
0.92 & 145.249297108469 & 3.29159765011033 \tabularnewline
0.93 & 146.694545051315 & 3.1997004169125 \tabularnewline
0.94 & 148.294155773479 & 3.26348597551976 \tabularnewline
0.95 & 150.208846384015 & 3.63822653265647 \tabularnewline
0.96 & 152.627182698376 & 4.29535663156463 \tabularnewline
0.97 & 155.614431206407 & 4.80703762244967 \tabularnewline
0.98 & 158.870233066761 & 4.43898890721902 \tabularnewline
0.99 & 161.598192278497 & 2.6653112598063 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83066&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]62.5897709702465[/C][C]0.730424287617535[/C][/ROW]
[ROW][C]0.02[/C][C]63.4765441977746[/C][C]1.88787261506289[/C][/ROW]
[ROW][C]0.03[/C][C]64.9861258039327[/C][C]3.04971930657290[/C][/ROW]
[ROW][C]0.04[/C][C]66.9167364365503[/C][C]3.79498010161401[/C][/ROW]
[ROW][C]0.05[/C][C]68.9557855137048[/C][C]3.85828347022409[/C][/ROW]
[ROW][C]0.06[/C][C]70.8100030132557[/C][C]3.36148672598667[/C][/ROW]
[ROW][C]0.07[/C][C]72.3147470938786[/C][C]2.65940338340764[/C][/ROW]
[ROW][C]0.08[/C][C]73.4541478517691[/C][C]2.04889226515709[/C][/ROW]
[ROW][C]0.09[/C][C]74.3037664747898[/C][C]1.64434727260122[/C][/ROW]
[ROW][C]0.1[/C][C]74.9612316610027[/C][C]1.42599363649799[/C][/ROW]
[ROW][C]0.11[/C][C]75.5065303248452[/C][C]1.33263600858916[/C][/ROW]
[ROW][C]0.12[/C][C]75.9927788804618[/C][C]1.31254899661683[/C][/ROW]
[ROW][C]0.13[/C][C]76.4519275579024[/C][C]1.33646178122566[/C][/ROW]
[ROW][C]0.14[/C][C]76.903211202916[/C][C]1.39276958878869[/C][/ROW]
[ROW][C]0.15[/C][C]77.3593374975516[/C][C]1.47839939247382[/C][/ROW]
[ROW][C]0.16[/C][C]77.8296156245175[/C][C]1.58992939221496[/C][/ROW]
[ROW][C]0.17[/C][C]78.320811508131[/C][C]1.71950834939541[/C][/ROW]
[ROW][C]0.18[/C][C]78.8369303483529[/C][C]1.85619607188507[/C][/ROW]
[ROW][C]0.19[/C][C]79.378998292111[/C][C]1.98823369165176[/C][/ROW]
[ROW][C]0.2[/C][C]79.9454694686364[/C][C]2.10814212048729[/C][/ROW]
[ROW][C]0.21[/C][C]80.5333643114964[/C][C]2.21379151831108[/C][/ROW]
[ROW][C]0.22[/C][C]81.1398564406903[/C][C]2.3099114427085[/C][/ROW]
[ROW][C]0.23[/C][C]81.7638341120223[/C][C]2.40762798258840[/C][/ROW]
[ROW][C]0.24[/C][C]82.4069371929327[/C][C]2.52172006998175[/C][/ROW]
[ROW][C]0.25[/C][C]83.0736787830718[/C][C]2.66541813844553[/C][/ROW]
[ROW][C]0.26[/C][C]83.7704921894038[/C][C]2.84458448894778[/C][/ROW]
[ROW][C]0.27[/C][C]84.5038675626497[/C][C]3.05379532513971[/C][/ROW]
[ROW][C]0.28[/C][C]85.2780663904157[/C][C]3.27525019950672[/C][/ROW]
[ROW][C]0.29[/C][C]86.0930957901862[/C][C]3.48383838537812[/C][/ROW]
[ROW][C]0.3[/C][C]86.94358853198[/C][C]3.65212424544879[/C][/ROW]
[ROW][C]0.31[/C][C]87.8189636395408[/C][C]3.7577888810256[/C][/ROW]
[ROW][C]0.32[/C][C]88.7048367257923[/C][C]3.78895047672449[/C][/ROW]
[ROW][C]0.33[/C][C]89.5852678006239[/C][C]3.74548587060758[/C][/ROW]
[ROW][C]0.34[/C][C]90.4452187871161[/C][C]3.63764090710867[/C][/ROW]
[ROW][C]0.35[/C][C]91.2726066507032[/C][C]3.48404379505039[/C][/ROW]
[ROW][C]0.36[/C][C]92.0595479098077[/C][C]3.30580587240393[/C][/ROW]
[ROW][C]0.37[/C][C]92.802694274517[/C][C]3.12354762104878[/C][/ROW]
[ROW][C]0.38[/C][C]93.5028374248507[/C][C]2.95345485140867[/C][/ROW]
[ROW][C]0.39[/C][C]94.1641240120324[/C][C]2.80771844137153[/C][/ROW]
[ROW][C]0.4[/C][C]94.793236544608[/C][C]2.69511214304969[/C][/ROW]
[ROW][C]0.41[/C][C]95.3987844558457[/C][C]2.62219174764255[/C][/ROW]
[ROW][C]0.42[/C][C]95.990972125707[/C][C]2.59644246968398[/C][/ROW]
[ROW][C]0.43[/C][C]96.5814386680691[/C][C]2.62501587546858[/C][/ROW]
[ROW][C]0.44[/C][C]97.1830584484171[/C][C]2.7152536792808[/C][/ROW]
[ROW][C]0.45[/C][C]97.8094846214401[/C][C]2.87160561528844[/C][/ROW]
[ROW][C]0.46[/C][C]98.4743083423747[/C][C]3.09148590427815[/C][/ROW]
[ROW][C]0.47[/C][C]99.1898584889731[/C][C]3.36535639837391[/C][/ROW]
[ROW][C]0.48[/C][C]99.965824408793[/C][C]3.67561495951877[/C][/ROW]
[ROW][C]0.49[/C][C]100.807989397294[/C][C]3.99921239284678[/C][/ROW]
[ROW][C]0.5[/C][C]101.717376624382[/C][C]4.31134163283935[/C][/ROW]
[ROW][C]0.51[/C][C]102.690027064102[/C][C]4.58829256126186[/C][/ROW]
[ROW][C]0.52[/C][C]103.717480629746[/C][C]4.81144645010024[/C][/ROW]
[ROW][C]0.53[/C][C]104.787869006113[/C][C]4.96909592755296[/C][/ROW]
[ROW][C]0.54[/C][C]105.887403256126[/C][C]5.05666896473979[/C][/ROW]
[ROW][C]0.55[/C][C]107.001982022249[/C][C]5.07789677952088[/C][/ROW]
[ROW][C]0.56[/C][C]108.118657855174[/C][C]5.04150188127093[/C][/ROW]
[ROW][C]0.57[/C][C]109.226756827833[/C][C]4.96115999822341[/C][/ROW]
[ROW][C]0.58[/C][C]110.318520423262[/C][C]4.85108545244479[/C][/ROW]
[ROW][C]0.59[/C][C]111.389209910470[/C][C]4.72618038789808[/C][/ROW]
[ROW][C]0.6[/C][C]112.436681285429[/C][C]4.59796091100486[/C][/ROW]
[ROW][C]0.61[/C][C]113.460513311897[/C][C]4.47326289443122[/C][/ROW]
[ROW][C]0.62[/C][C]114.460856535924[/C][C]4.35285331386396[/C][/ROW]
[ROW][C]0.63[/C][C]115.437252446178[/C][C]4.23132148425245[/C][/ROW]
[ROW][C]0.64[/C][C]116.387715245597[/C][C]4.0988630839557[/C][/ROW]
[ROW][C]0.65[/C][C]117.308337363526[/C][C]3.9449504994248[/C][/ROW]
[ROW][C]0.66[/C][C]118.193558920604[/C][C]3.76180792361549[/C][/ROW]
[ROW][C]0.67[/C][C]119.037055145899[/C][C]3.54735672979052[/C][/ROW]
[ROW][C]0.68[/C][C]119.833006031773[/C][C]3.30655627378339[/C][/ROW]
[ROW][C]0.69[/C][C]120.577395243119[/C][C]3.05050958376561[/C][/ROW]
[ROW][C]0.7[/C][C]121.268995779785[/C][C]2.79451482355365[/C][/ROW]
[ROW][C]0.71[/C][C]121.909844323213[/C][C]2.55400405778849[/C][/ROW]
[ROW][C]0.72[/C][C]122.505234862052[/C][C]2.34287728085885[/C][/ROW]
[ROW][C]0.73[/C][C]123.063487774201[/C][C]2.17171206660381[/C][/ROW]
[ROW][C]0.74[/C][C]123.595880612898[/C][C]2.04929988604055[/C][/ROW]
[ROW][C]0.75[/C][C]124.117092509586[/C][C]1.98631891186386[/C][/ROW]
[ROW][C]0.76[/C][C]124.646284299791[/C][C]1.99886670498659[/C][/ROW]
[ROW][C]0.77[/C][C]125.208525390840[/C][C]2.11050680134713[/C][/ROW]
[ROW][C]0.78[/C][C]125.835765439117[/C][C]2.3491654546703[/C][/ROW]
[ROW][C]0.79[/C][C]126.566115826447[/C][C]2.73543993987047[/C][/ROW]
[ROW][C]0.8[/C][C]127.440151748906[/C][C]3.26786006891862[/C][/ROW]
[ROW][C]0.81[/C][C]128.493602461886[/C][C]3.90952439477447[/C][/ROW]
[ROW][C]0.82[/C][C]129.747298712376[/C][C]4.58297482267209[/C][/ROW]
[ROW][C]0.83[/C][C]131.197232383585[/C][C]5.18039914213477[/C][/ROW]
[ROW][C]0.84[/C][C]132.80908269508[/C][C]5.58701573803876[/C][/ROW]
[ROW][C]0.85[/C][C]134.521324679614[/C][C]5.71772484611558[/C][/ROW]
[ROW][C]0.86[/C][C]136.258322282559[/C][C]5.55082217210169[/C][/ROW]
[ROW][C]0.87[/C][C]137.950232495160[/C][C]5.14258295332668[/C][/ROW]
[ROW][C]0.88[/C][C]139.552261112094[/C][C]4.61294493881611[/C][/ROW]
[ROW][C]0.89[/C][C]141.054652329920[/C][C]4.10158329564932[/C][/ROW]
[ROW][C]0.9[/C][C]142.478692745064[/C][C]3.70891501595126[/C][/ROW]
[ROW][C]0.91[/C][C]143.862466457995[/C][C]3.45376264286908[/C][/ROW]
[ROW][C]0.92[/C][C]145.249297108469[/C][C]3.29159765011033[/C][/ROW]
[ROW][C]0.93[/C][C]146.694545051315[/C][C]3.1997004169125[/C][/ROW]
[ROW][C]0.94[/C][C]148.294155773479[/C][C]3.26348597551976[/C][/ROW]
[ROW][C]0.95[/C][C]150.208846384015[/C][C]3.63822653265647[/C][/ROW]
[ROW][C]0.96[/C][C]152.627182698376[/C][C]4.29535663156463[/C][/ROW]
[ROW][C]0.97[/C][C]155.614431206407[/C][C]4.80703762244967[/C][/ROW]
[ROW][C]0.98[/C][C]158.870233066761[/C][C]4.43898890721902[/C][/ROW]
[ROW][C]0.99[/C][C]161.598192278497[/C][C]2.6653112598063[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83066&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83066&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
0.0162.58977097024650.730424287617535
0.0263.47654419777461.88787261506289
0.0364.98612580393273.04971930657290
0.0466.91673643655033.79498010161401
0.0568.95578551370483.85828347022409
0.0670.81000301325573.36148672598667
0.0772.31474709387862.65940338340764
0.0873.45414785176912.04889226515709
0.0974.30376647478981.64434727260122
0.174.96123166100271.42599363649799
0.1175.50653032484521.33263600858916
0.1275.99277888046181.31254899661683
0.1376.45192755790241.33646178122566
0.1476.9032112029161.39276958878869
0.1577.35933749755161.47839939247382
0.1677.82961562451751.58992939221496
0.1778.3208115081311.71950834939541
0.1878.83693034835291.85619607188507
0.1979.3789982921111.98823369165176
0.279.94546946863642.10814212048729
0.2180.53336431149642.21379151831108
0.2281.13985644069032.3099114427085
0.2381.76383411202232.40762798258840
0.2482.40693719293272.52172006998175
0.2583.07367878307182.66541813844553
0.2683.77049218940382.84458448894778
0.2784.50386756264973.05379532513971
0.2885.27806639041573.27525019950672
0.2986.09309579018623.48383838537812
0.386.943588531983.65212424544879
0.3187.81896363954083.7577888810256
0.3288.70483672579233.78895047672449
0.3389.58526780062393.74548587060758
0.3490.44521878711613.63764090710867
0.3591.27260665070323.48404379505039
0.3692.05954790980773.30580587240393
0.3792.8026942745173.12354762104878
0.3893.50283742485072.95345485140867
0.3994.16412401203242.80771844137153
0.494.7932365446082.69511214304969
0.4195.39878445584572.62219174764255
0.4295.9909721257072.59644246968398
0.4396.58143866806912.62501587546858
0.4497.18305844841712.7152536792808
0.4597.80948462144012.87160561528844
0.4698.47430834237473.09148590427815
0.4799.18985848897313.36535639837391
0.4899.9658244087933.67561495951877
0.49100.8079893972943.99921239284678
0.5101.7173766243824.31134163283935
0.51102.6900270641024.58829256126186
0.52103.7174806297464.81144645010024
0.53104.7878690061134.96909592755296
0.54105.8874032561265.05666896473979
0.55107.0019820222495.07789677952088
0.56108.1186578551745.04150188127093
0.57109.2267568278334.96115999822341
0.58110.3185204232624.85108545244479
0.59111.3892099104704.72618038789808
0.6112.4366812854294.59796091100486
0.61113.4605133118974.47326289443122
0.62114.4608565359244.35285331386396
0.63115.4372524461784.23132148425245
0.64116.3877152455974.0988630839557
0.65117.3083373635263.9449504994248
0.66118.1935589206043.76180792361549
0.67119.0370551458993.54735672979052
0.68119.8330060317733.30655627378339
0.69120.5773952431193.05050958376561
0.7121.2689957797852.79451482355365
0.71121.9098443232132.55400405778849
0.72122.5052348620522.34287728085885
0.73123.0634877742012.17171206660381
0.74123.5958806128982.04929988604055
0.75124.1170925095861.98631891186386
0.76124.6462842997911.99886670498659
0.77125.2085253908402.11050680134713
0.78125.8357654391172.3491654546703
0.79126.5661158264472.73543993987047
0.8127.4401517489063.26786006891862
0.81128.4936024618863.90952439477447
0.82129.7472987123764.58297482267209
0.83131.1972323835855.18039914213477
0.84132.809082695085.58701573803876
0.85134.5213246796145.71772484611558
0.86136.2583222825595.55082217210169
0.87137.9502324951605.14258295332668
0.88139.5522611120944.61294493881611
0.89141.0546523299204.10158329564932
0.9142.4786927450643.70891501595126
0.91143.8624664579953.45376264286908
0.92145.2492971084693.29159765011033
0.93146.6945450513153.1997004169125
0.94148.2941557734793.26348597551976
0.95150.2088463840153.63822653265647
0.96152.6271826983764.29535663156463
0.97155.6144312064074.80703762244967
0.98158.8702330667614.43898890721902
0.99161.5981922784972.6653112598063


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')