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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 computationFri, 05 Jun 2009 04:18:20 -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/Jun/05/t1244197153tk5c1sz17vprbw9.htm/, Retrieved Fri, 10 May 2024 06:49:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41780, Retrieved Fri, 10 May 2024 06:49:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsDuncan Huysmans opgave 4
Estimated Impact221

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] [Duncan Huysmans o...] [2009-06-05 10:18:20] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
49.1
52.7
55.1
60.4
57.5
55.9
62.6
61.3
67.1
68.6
74.8
76.9
85.7
86.5
90.8
89.7
96.3
107.5
109.2
100.2
116.8
120.1
123.3
130.2
131.4
125.6
124.5
134.3
135.2
151.8
146.4
140.0
127.8
148.0
165.9
165.5
179.9
190.0
189.8
190.9
203.6
183.5
169.3
144.2
141.5
154.3
169.5
194.0
203.2
192.9
209.4
227.2
263.7
297.8
337.1
361.3
355.2
312.6
309.9
323.7
324.1
355.3
383.4
395.1
412.8
407.0
438.0
446.1
452.5
447.3
475.9
487.7

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=41780&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=41780&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41780&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
0.0150.2282451880063.19451868977361
0.0251.88868418601592.81494992851725
0.0353.56287753438982.6359865208622
0.0455.06949464979712.71587003643657
0.0556.45113722971083.02591078007588
0.0657.80626716001953.49946976194023
0.0759.2157908410844.09161114929744
0.0860.73348625290284.79290068890483
0.0962.39453561810575.60039338125314
0.164.22188658050516.49082106121734
0.1166.22723240504597.41613766800812
0.1268.40958299684058.3155589373209
0.1370.7548318333959.132207616953
0.1473.23798614733429.82640413828265
0.1575.827833056242210.3840522265795
0.1678.492666555711310.8174140861365
0.1781.20542682417611.1600070211002
0.1883.946959348071811.4553833461737
0.1986.706774537205111.7433807158104
0.289.481419905376612.0478837016291
0.2192.27117485348912.3701599430037
0.2295.07611618063212.6886520796676
0.2397.892631209004212.9666323012752
0.24100.71121024928613.1617509296457
0.25103.51593532235413.2374915152894
0.26106.28563151542413.1697522540316
0.27108.99627983998512.9518760842306
0.28111.62407814549212.5946883125021
0.29114.14849607856212.1253784836374
0.3116.55477259935111.5820719510960
0.31118.83549645737011.0095091159233
0.32120.99113263099810.4525923073633
0.33123.0295616525669.95094460085278
0.34124.9648507754149.53667998194166
0.35126.8155602767599.23010356718588
0.36128.6029041850349.04084524565149
0.37130.3490431468988.96777608524594
0.38132.0757060069129.00334679786752
0.39133.8032370796639.13642271273741
0.4135.5500685930229.35434976553517
0.41137.3325393250239.6463492382915
0.42139.16493228758510.0028094589540
0.43141.05959085800010.4161060356735
0.44143.02699161246910.8780359162291
0.45145.07569506170611.3794624311916
0.46147.21215054885811.9086668627794
0.47149.44038580004112.4510006248688
0.48151.76165416068012.9886905764434
0.49154.17413718255413.5027031579993
0.5156.67280654948413.9728402362689
0.51159.24954204748814.3814781512984
0.52161.89358860055614.7134779385172
0.53164.59242133543614.9602975499878
0.54167.33307468556815.1200652678014
0.55170.10397496719315.2021519238207
0.56172.89728568428415.2275401775278
0.57175.71171933727615.2341026030808
0.58178.55568035803315.2788909802078
0.59181.45048103678415.4392877655976
0.6184.43322810199415.8132953987837
0.61187.55883748427316.5137704325145
0.62190.90053613294317.6537133341150
0.63194.54819734382819.3282186748598
0.64198.60397425356621.5923110797667
0.65203.17497730518924.4433060749408
0.66208.36319102551827.8115618801454
0.67214.25340627452531.5577794872425
0.68220.90056591457835.4773476207309
0.69228.31844334342939.3149515957798
0.7236.47182485341842.7887481275058
0.71245.27419482207245.623536576572
0.72254.5922486603647.5878014548689
0.73264.25743212155148.5299967010427
0.74274.0833286416948.4057050470362
0.75283.88641359051847.2874324594543
0.76293.50682833095045.3567634850513
0.77302.82567761214342.8757409817684
0.78311.77600620369040.1487046418881
0.79320.34590494979337.4736030650555
0.8328.57377264632035.0982573073144
0.81336.5371894005733.1895449913233
0.82344.33780012709731.8168393247932
0.83352.08491642029330.9574177661308
0.84359.88025647790530.5139784864407
0.85367.80547639748730.3431239406467
0.86375.91303755410930.2799421483517
0.87384.21974216360330.1649114628696
0.88392.70153586429329.8533434390567
0.89401.28898296411429.2094321048395
0.9409.8662500853328.0957683128366
0.91418.28220716552126.3832990693303
0.92426.3867908153124.0198126482289
0.93434.10135074000821.1599171820346
0.94441.5095644233518.3070553664723
0.95448.91522252752916.3191360135711
0.96456.77460507041515.8824978444775
0.97465.41470329401616.3799345609885
0.98474.53675675382215.9327604501668
0.99482.73183382431413.6717912221731

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 50.228245188006 & 3.19451868977361 \tabularnewline
0.02 & 51.8886841860159 & 2.81494992851725 \tabularnewline
0.03 & 53.5628775343898 & 2.6359865208622 \tabularnewline
0.04 & 55.0694946497971 & 2.71587003643657 \tabularnewline
0.05 & 56.4511372297108 & 3.02591078007588 \tabularnewline
0.06 & 57.8062671600195 & 3.49946976194023 \tabularnewline
0.07 & 59.215790841084 & 4.09161114929744 \tabularnewline
0.08 & 60.7334862529028 & 4.79290068890483 \tabularnewline
0.09 & 62.3945356181057 & 5.60039338125314 \tabularnewline
0.1 & 64.2218865805051 & 6.49082106121734 \tabularnewline
0.11 & 66.2272324050459 & 7.41613766800812 \tabularnewline
0.12 & 68.4095829968405 & 8.3155589373209 \tabularnewline
0.13 & 70.754831833395 & 9.132207616953 \tabularnewline
0.14 & 73.2379861473342 & 9.82640413828265 \tabularnewline
0.15 & 75.8278330562422 & 10.3840522265795 \tabularnewline
0.16 & 78.4926665557113 & 10.8174140861365 \tabularnewline
0.17 & 81.205426824176 & 11.1600070211002 \tabularnewline
0.18 & 83.9469593480718 & 11.4553833461737 \tabularnewline
0.19 & 86.7067745372051 & 11.7433807158104 \tabularnewline
0.2 & 89.4814199053766 & 12.0478837016291 \tabularnewline
0.21 & 92.271174853489 & 12.3701599430037 \tabularnewline
0.22 & 95.076116180632 & 12.6886520796676 \tabularnewline
0.23 & 97.8926312090042 & 12.9666323012752 \tabularnewline
0.24 & 100.711210249286 & 13.1617509296457 \tabularnewline
0.25 & 103.515935322354 & 13.2374915152894 \tabularnewline
0.26 & 106.285631515424 & 13.1697522540316 \tabularnewline
0.27 & 108.996279839985 & 12.9518760842306 \tabularnewline
0.28 & 111.624078145492 & 12.5946883125021 \tabularnewline
0.29 & 114.148496078562 & 12.1253784836374 \tabularnewline
0.3 & 116.554772599351 & 11.5820719510960 \tabularnewline
0.31 & 118.835496457370 & 11.0095091159233 \tabularnewline
0.32 & 120.991132630998 & 10.4525923073633 \tabularnewline
0.33 & 123.029561652566 & 9.95094460085278 \tabularnewline
0.34 & 124.964850775414 & 9.53667998194166 \tabularnewline
0.35 & 126.815560276759 & 9.23010356718588 \tabularnewline
0.36 & 128.602904185034 & 9.04084524565149 \tabularnewline
0.37 & 130.349043146898 & 8.96777608524594 \tabularnewline
0.38 & 132.075706006912 & 9.00334679786752 \tabularnewline
0.39 & 133.803237079663 & 9.13642271273741 \tabularnewline
0.4 & 135.550068593022 & 9.35434976553517 \tabularnewline
0.41 & 137.332539325023 & 9.6463492382915 \tabularnewline
0.42 & 139.164932287585 & 10.0028094589540 \tabularnewline
0.43 & 141.059590858000 & 10.4161060356735 \tabularnewline
0.44 & 143.026991612469 & 10.8780359162291 \tabularnewline
0.45 & 145.075695061706 & 11.3794624311916 \tabularnewline
0.46 & 147.212150548858 & 11.9086668627794 \tabularnewline
0.47 & 149.440385800041 & 12.4510006248688 \tabularnewline
0.48 & 151.761654160680 & 12.9886905764434 \tabularnewline
0.49 & 154.174137182554 & 13.5027031579993 \tabularnewline
0.5 & 156.672806549484 & 13.9728402362689 \tabularnewline
0.51 & 159.249542047488 & 14.3814781512984 \tabularnewline
0.52 & 161.893588600556 & 14.7134779385172 \tabularnewline
0.53 & 164.592421335436 & 14.9602975499878 \tabularnewline
0.54 & 167.333074685568 & 15.1200652678014 \tabularnewline
0.55 & 170.103974967193 & 15.2021519238207 \tabularnewline
0.56 & 172.897285684284 & 15.2275401775278 \tabularnewline
0.57 & 175.711719337276 & 15.2341026030808 \tabularnewline
0.58 & 178.555680358033 & 15.2788909802078 \tabularnewline
0.59 & 181.450481036784 & 15.4392877655976 \tabularnewline
0.6 & 184.433228101994 & 15.8132953987837 \tabularnewline
0.61 & 187.558837484273 & 16.5137704325145 \tabularnewline
0.62 & 190.900536132943 & 17.6537133341150 \tabularnewline
0.63 & 194.548197343828 & 19.3282186748598 \tabularnewline
0.64 & 198.603974253566 & 21.5923110797667 \tabularnewline
0.65 & 203.174977305189 & 24.4433060749408 \tabularnewline
0.66 & 208.363191025518 & 27.8115618801454 \tabularnewline
0.67 & 214.253406274525 & 31.5577794872425 \tabularnewline
0.68 & 220.900565914578 & 35.4773476207309 \tabularnewline
0.69 & 228.318443343429 & 39.3149515957798 \tabularnewline
0.7 & 236.471824853418 & 42.7887481275058 \tabularnewline
0.71 & 245.274194822072 & 45.623536576572 \tabularnewline
0.72 & 254.59224866036 & 47.5878014548689 \tabularnewline
0.73 & 264.257432121551 & 48.5299967010427 \tabularnewline
0.74 & 274.08332864169 & 48.4057050470362 \tabularnewline
0.75 & 283.886413590518 & 47.2874324594543 \tabularnewline
0.76 & 293.506828330950 & 45.3567634850513 \tabularnewline
0.77 & 302.825677612143 & 42.8757409817684 \tabularnewline
0.78 & 311.776006203690 & 40.1487046418881 \tabularnewline
0.79 & 320.345904949793 & 37.4736030650555 \tabularnewline
0.8 & 328.573772646320 & 35.0982573073144 \tabularnewline
0.81 & 336.53718940057 & 33.1895449913233 \tabularnewline
0.82 & 344.337800127097 & 31.8168393247932 \tabularnewline
0.83 & 352.084916420293 & 30.9574177661308 \tabularnewline
0.84 & 359.880256477905 & 30.5139784864407 \tabularnewline
0.85 & 367.805476397487 & 30.3431239406467 \tabularnewline
0.86 & 375.913037554109 & 30.2799421483517 \tabularnewline
0.87 & 384.219742163603 & 30.1649114628696 \tabularnewline
0.88 & 392.701535864293 & 29.8533434390567 \tabularnewline
0.89 & 401.288982964114 & 29.2094321048395 \tabularnewline
0.9 & 409.86625008533 & 28.0957683128366 \tabularnewline
0.91 & 418.282207165521 & 26.3832990693303 \tabularnewline
0.92 & 426.38679081531 & 24.0198126482289 \tabularnewline
0.93 & 434.101350740008 & 21.1599171820346 \tabularnewline
0.94 & 441.50956442335 & 18.3070553664723 \tabularnewline
0.95 & 448.915222527529 & 16.3191360135711 \tabularnewline
0.96 & 456.774605070415 & 15.8824978444775 \tabularnewline
0.97 & 465.414703294016 & 16.3799345609885 \tabularnewline
0.98 & 474.536756753822 & 15.9327604501668 \tabularnewline
0.99 & 482.731833824314 & 13.6717912221731 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41780&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]50.228245188006[/C][C]3.19451868977361[/C][/ROW]
[ROW][C]0.02[/C][C]51.8886841860159[/C][C]2.81494992851725[/C][/ROW]
[ROW][C]0.03[/C][C]53.5628775343898[/C][C]2.6359865208622[/C][/ROW]
[ROW][C]0.04[/C][C]55.0694946497971[/C][C]2.71587003643657[/C][/ROW]
[ROW][C]0.05[/C][C]56.4511372297108[/C][C]3.02591078007588[/C][/ROW]
[ROW][C]0.06[/C][C]57.8062671600195[/C][C]3.49946976194023[/C][/ROW]
[ROW][C]0.07[/C][C]59.215790841084[/C][C]4.09161114929744[/C][/ROW]
[ROW][C]0.08[/C][C]60.7334862529028[/C][C]4.79290068890483[/C][/ROW]
[ROW][C]0.09[/C][C]62.3945356181057[/C][C]5.60039338125314[/C][/ROW]
[ROW][C]0.1[/C][C]64.2218865805051[/C][C]6.49082106121734[/C][/ROW]
[ROW][C]0.11[/C][C]66.2272324050459[/C][C]7.41613766800812[/C][/ROW]
[ROW][C]0.12[/C][C]68.4095829968405[/C][C]8.3155589373209[/C][/ROW]
[ROW][C]0.13[/C][C]70.754831833395[/C][C]9.132207616953[/C][/ROW]
[ROW][C]0.14[/C][C]73.2379861473342[/C][C]9.82640413828265[/C][/ROW]
[ROW][C]0.15[/C][C]75.8278330562422[/C][C]10.3840522265795[/C][/ROW]
[ROW][C]0.16[/C][C]78.4926665557113[/C][C]10.8174140861365[/C][/ROW]
[ROW][C]0.17[/C][C]81.205426824176[/C][C]11.1600070211002[/C][/ROW]
[ROW][C]0.18[/C][C]83.9469593480718[/C][C]11.4553833461737[/C][/ROW]
[ROW][C]0.19[/C][C]86.7067745372051[/C][C]11.7433807158104[/C][/ROW]
[ROW][C]0.2[/C][C]89.4814199053766[/C][C]12.0478837016291[/C][/ROW]
[ROW][C]0.21[/C][C]92.271174853489[/C][C]12.3701599430037[/C][/ROW]
[ROW][C]0.22[/C][C]95.076116180632[/C][C]12.6886520796676[/C][/ROW]
[ROW][C]0.23[/C][C]97.8926312090042[/C][C]12.9666323012752[/C][/ROW]
[ROW][C]0.24[/C][C]100.711210249286[/C][C]13.1617509296457[/C][/ROW]
[ROW][C]0.25[/C][C]103.515935322354[/C][C]13.2374915152894[/C][/ROW]
[ROW][C]0.26[/C][C]106.285631515424[/C][C]13.1697522540316[/C][/ROW]
[ROW][C]0.27[/C][C]108.996279839985[/C][C]12.9518760842306[/C][/ROW]
[ROW][C]0.28[/C][C]111.624078145492[/C][C]12.5946883125021[/C][/ROW]
[ROW][C]0.29[/C][C]114.148496078562[/C][C]12.1253784836374[/C][/ROW]
[ROW][C]0.3[/C][C]116.554772599351[/C][C]11.5820719510960[/C][/ROW]
[ROW][C]0.31[/C][C]118.835496457370[/C][C]11.0095091159233[/C][/ROW]
[ROW][C]0.32[/C][C]120.991132630998[/C][C]10.4525923073633[/C][/ROW]
[ROW][C]0.33[/C][C]123.029561652566[/C][C]9.95094460085278[/C][/ROW]
[ROW][C]0.34[/C][C]124.964850775414[/C][C]9.53667998194166[/C][/ROW]
[ROW][C]0.35[/C][C]126.815560276759[/C][C]9.23010356718588[/C][/ROW]
[ROW][C]0.36[/C][C]128.602904185034[/C][C]9.04084524565149[/C][/ROW]
[ROW][C]0.37[/C][C]130.349043146898[/C][C]8.96777608524594[/C][/ROW]
[ROW][C]0.38[/C][C]132.075706006912[/C][C]9.00334679786752[/C][/ROW]
[ROW][C]0.39[/C][C]133.803237079663[/C][C]9.13642271273741[/C][/ROW]
[ROW][C]0.4[/C][C]135.550068593022[/C][C]9.35434976553517[/C][/ROW]
[ROW][C]0.41[/C][C]137.332539325023[/C][C]9.6463492382915[/C][/ROW]
[ROW][C]0.42[/C][C]139.164932287585[/C][C]10.0028094589540[/C][/ROW]
[ROW][C]0.43[/C][C]141.059590858000[/C][C]10.4161060356735[/C][/ROW]
[ROW][C]0.44[/C][C]143.026991612469[/C][C]10.8780359162291[/C][/ROW]
[ROW][C]0.45[/C][C]145.075695061706[/C][C]11.3794624311916[/C][/ROW]
[ROW][C]0.46[/C][C]147.212150548858[/C][C]11.9086668627794[/C][/ROW]
[ROW][C]0.47[/C][C]149.440385800041[/C][C]12.4510006248688[/C][/ROW]
[ROW][C]0.48[/C][C]151.761654160680[/C][C]12.9886905764434[/C][/ROW]
[ROW][C]0.49[/C][C]154.174137182554[/C][C]13.5027031579993[/C][/ROW]
[ROW][C]0.5[/C][C]156.672806549484[/C][C]13.9728402362689[/C][/ROW]
[ROW][C]0.51[/C][C]159.249542047488[/C][C]14.3814781512984[/C][/ROW]
[ROW][C]0.52[/C][C]161.893588600556[/C][C]14.7134779385172[/C][/ROW]
[ROW][C]0.53[/C][C]164.592421335436[/C][C]14.9602975499878[/C][/ROW]
[ROW][C]0.54[/C][C]167.333074685568[/C][C]15.1200652678014[/C][/ROW]
[ROW][C]0.55[/C][C]170.103974967193[/C][C]15.2021519238207[/C][/ROW]
[ROW][C]0.56[/C][C]172.897285684284[/C][C]15.2275401775278[/C][/ROW]
[ROW][C]0.57[/C][C]175.711719337276[/C][C]15.2341026030808[/C][/ROW]
[ROW][C]0.58[/C][C]178.555680358033[/C][C]15.2788909802078[/C][/ROW]
[ROW][C]0.59[/C][C]181.450481036784[/C][C]15.4392877655976[/C][/ROW]
[ROW][C]0.6[/C][C]184.433228101994[/C][C]15.8132953987837[/C][/ROW]
[ROW][C]0.61[/C][C]187.558837484273[/C][C]16.5137704325145[/C][/ROW]
[ROW][C]0.62[/C][C]190.900536132943[/C][C]17.6537133341150[/C][/ROW]
[ROW][C]0.63[/C][C]194.548197343828[/C][C]19.3282186748598[/C][/ROW]
[ROW][C]0.64[/C][C]198.603974253566[/C][C]21.5923110797667[/C][/ROW]
[ROW][C]0.65[/C][C]203.174977305189[/C][C]24.4433060749408[/C][/ROW]
[ROW][C]0.66[/C][C]208.363191025518[/C][C]27.8115618801454[/C][/ROW]
[ROW][C]0.67[/C][C]214.253406274525[/C][C]31.5577794872425[/C][/ROW]
[ROW][C]0.68[/C][C]220.900565914578[/C][C]35.4773476207309[/C][/ROW]
[ROW][C]0.69[/C][C]228.318443343429[/C][C]39.3149515957798[/C][/ROW]
[ROW][C]0.7[/C][C]236.471824853418[/C][C]42.7887481275058[/C][/ROW]
[ROW][C]0.71[/C][C]245.274194822072[/C][C]45.623536576572[/C][/ROW]
[ROW][C]0.72[/C][C]254.59224866036[/C][C]47.5878014548689[/C][/ROW]
[ROW][C]0.73[/C][C]264.257432121551[/C][C]48.5299967010427[/C][/ROW]
[ROW][C]0.74[/C][C]274.08332864169[/C][C]48.4057050470362[/C][/ROW]
[ROW][C]0.75[/C][C]283.886413590518[/C][C]47.2874324594543[/C][/ROW]
[ROW][C]0.76[/C][C]293.506828330950[/C][C]45.3567634850513[/C][/ROW]
[ROW][C]0.77[/C][C]302.825677612143[/C][C]42.8757409817684[/C][/ROW]
[ROW][C]0.78[/C][C]311.776006203690[/C][C]40.1487046418881[/C][/ROW]
[ROW][C]0.79[/C][C]320.345904949793[/C][C]37.4736030650555[/C][/ROW]
[ROW][C]0.8[/C][C]328.573772646320[/C][C]35.0982573073144[/C][/ROW]
[ROW][C]0.81[/C][C]336.53718940057[/C][C]33.1895449913233[/C][/ROW]
[ROW][C]0.82[/C][C]344.337800127097[/C][C]31.8168393247932[/C][/ROW]
[ROW][C]0.83[/C][C]352.084916420293[/C][C]30.9574177661308[/C][/ROW]
[ROW][C]0.84[/C][C]359.880256477905[/C][C]30.5139784864407[/C][/ROW]
[ROW][C]0.85[/C][C]367.805476397487[/C][C]30.3431239406467[/C][/ROW]
[ROW][C]0.86[/C][C]375.913037554109[/C][C]30.2799421483517[/C][/ROW]
[ROW][C]0.87[/C][C]384.219742163603[/C][C]30.1649114628696[/C][/ROW]
[ROW][C]0.88[/C][C]392.701535864293[/C][C]29.8533434390567[/C][/ROW]
[ROW][C]0.89[/C][C]401.288982964114[/C][C]29.2094321048395[/C][/ROW]
[ROW][C]0.9[/C][C]409.86625008533[/C][C]28.0957683128366[/C][/ROW]
[ROW][C]0.91[/C][C]418.282207165521[/C][C]26.3832990693303[/C][/ROW]
[ROW][C]0.92[/C][C]426.38679081531[/C][C]24.0198126482289[/C][/ROW]
[ROW][C]0.93[/C][C]434.101350740008[/C][C]21.1599171820346[/C][/ROW]
[ROW][C]0.94[/C][C]441.50956442335[/C][C]18.3070553664723[/C][/ROW]
[ROW][C]0.95[/C][C]448.915222527529[/C][C]16.3191360135711[/C][/ROW]
[ROW][C]0.96[/C][C]456.774605070415[/C][C]15.8824978444775[/C][/ROW]
[ROW][C]0.97[/C][C]465.414703294016[/C][C]16.3799345609885[/C][/ROW]
[ROW][C]0.98[/C][C]474.536756753822[/C][C]15.9327604501668[/C][/ROW]
[ROW][C]0.99[/C][C]482.731833824314[/C][C]13.6717912221731[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41780&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41780&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
0.0150.2282451880063.19451868977361
0.0251.88868418601592.81494992851725
0.0353.56287753438982.6359865208622
0.0455.06949464979712.71587003643657
0.0556.45113722971083.02591078007588
0.0657.80626716001953.49946976194023
0.0759.2157908410844.09161114929744
0.0860.73348625290284.79290068890483
0.0962.39453561810575.60039338125314
0.164.22188658050516.49082106121734
0.1166.22723240504597.41613766800812
0.1268.40958299684058.3155589373209
0.1370.7548318333959.132207616953
0.1473.23798614733429.82640413828265
0.1575.827833056242210.3840522265795
0.1678.492666555711310.8174140861365
0.1781.20542682417611.1600070211002
0.1883.946959348071811.4553833461737
0.1986.706774537205111.7433807158104
0.289.481419905376612.0478837016291
0.2192.27117485348912.3701599430037
0.2295.07611618063212.6886520796676
0.2397.892631209004212.9666323012752
0.24100.71121024928613.1617509296457
0.25103.51593532235413.2374915152894
0.26106.28563151542413.1697522540316
0.27108.99627983998512.9518760842306
0.28111.62407814549212.5946883125021
0.29114.14849607856212.1253784836374
0.3116.55477259935111.5820719510960
0.31118.83549645737011.0095091159233
0.32120.99113263099810.4525923073633
0.33123.0295616525669.95094460085278
0.34124.9648507754149.53667998194166
0.35126.8155602767599.23010356718588
0.36128.6029041850349.04084524565149
0.37130.3490431468988.96777608524594
0.38132.0757060069129.00334679786752
0.39133.8032370796639.13642271273741
0.4135.5500685930229.35434976553517
0.41137.3325393250239.6463492382915
0.42139.16493228758510.0028094589540
0.43141.05959085800010.4161060356735
0.44143.02699161246910.8780359162291
0.45145.07569506170611.3794624311916
0.46147.21215054885811.9086668627794
0.47149.44038580004112.4510006248688
0.48151.76165416068012.9886905764434
0.49154.17413718255413.5027031579993
0.5156.67280654948413.9728402362689
0.51159.24954204748814.3814781512984
0.52161.89358860055614.7134779385172
0.53164.59242133543614.9602975499878
0.54167.33307468556815.1200652678014
0.55170.10397496719315.2021519238207
0.56172.89728568428415.2275401775278
0.57175.71171933727615.2341026030808
0.58178.55568035803315.2788909802078
0.59181.45048103678415.4392877655976
0.6184.43322810199415.8132953987837
0.61187.55883748427316.5137704325145
0.62190.90053613294317.6537133341150
0.63194.54819734382819.3282186748598
0.64198.60397425356621.5923110797667
0.65203.17497730518924.4433060749408
0.66208.36319102551827.8115618801454
0.67214.25340627452531.5577794872425
0.68220.90056591457835.4773476207309
0.69228.31844334342939.3149515957798
0.7236.47182485341842.7887481275058
0.71245.27419482207245.623536576572
0.72254.5922486603647.5878014548689
0.73264.25743212155148.5299967010427
0.74274.0833286416948.4057050470362
0.75283.88641359051847.2874324594543
0.76293.50682833095045.3567634850513
0.77302.82567761214342.8757409817684
0.78311.77600620369040.1487046418881
0.79320.34590494979337.4736030650555
0.8328.57377264632035.0982573073144
0.81336.5371894005733.1895449913233
0.82344.33780012709731.8168393247932
0.83352.08491642029330.9574177661308
0.84359.88025647790530.5139784864407
0.85367.80547639748730.3431239406467
0.86375.91303755410930.2799421483517
0.87384.21974216360330.1649114628696
0.88392.70153586429329.8533434390567
0.89401.28898296411429.2094321048395
0.9409.8662500853328.0957683128366
0.91418.28220716552126.3832990693303
0.92426.3867908153124.0198126482289
0.93434.10135074000821.1599171820346
0.94441.5095644233518.3070553664723
0.95448.91522252752916.3191360135711
0.96456.77460507041515.8824978444775
0.97465.41470329401616.3799345609885
0.98474.53675675382215.9327604501668
0.99482.73183382431413.6717912221731


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')