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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 computationTue, 01 Mar 2016 00:06:41 +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/2016/Mar/01/t1456790828forcrlzmuo9i5pe.htm/, Retrieved Tue, 07 May 2024 20:37:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293078, Retrieved Tue, 07 May 2024 20:37:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Consumptieprijsin...] [2016-02-08 15:25:50] [0c8f342ac29a3044116b761b17bc0fb7]
- RMPD    [Harrell-Davis Quantiles] [] [2016-03-01 00:06:41] [383002b29a4d7fe40259202a4bc884b2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87,16
87,16
87,16
87,16
87,16
87,16
87,16
87,16
87,16
89,24
89,24
89,24
89,24
89,24
89,24
89,24
89,24
89,24
89,24
89,24
89,24
91
91
91
91
91
91
91
91
91
91
91
91
92,51
92,51
92,51
92,51
92,51
92,51
92,51
92,51
92,51
92,51
92,51
92,51
96,67
96,67
96,67
96,67
96,67
96,67
96,67
96,67
96,67
96,67
96,67
96,67
96,19
96,19
96,19
96,19
96,19
96,19
96,19
96,19
96,19
96,19
96,19
96,19
99,13
99,13
99,13
99,13
99,13
99,13
99,13
99,13
99,13
99,13
99,13
99,13
99,58
99,58
99,58
99,58
99,58
99,58
99,58
99,58
99,58
99,58
99,58
99,58
101,27
101,27
101,27
101,25
101,25
101,25
101,25
101,25
101,25
101,25
101,25
101,25
102,55
102,55
102,55
102,55
102,55
102,55
102,55
102,55
102,55
102,55
102,55
102,55
132,09
132,09
132,09

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293078&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293078&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293078&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0187.16032341962960.00162217151946488
0.0287.16415729106420.0169231947706336
0.0387.18412689074550.0785852678143009
0.0487.24763373398440.224341936894643
0.0587.38909167004570.450954213917162
0.0687.62722514375270.687916370046685
0.0787.94529948277520.835816205949954
0.0888.29425199451840.837407386765665
0.0988.61766137824890.712893396227758
0.188.87858767594070.535501572110497
0.1189.07081312197360.383917517647618
0.1289.21277700541990.313856359561089
0.1389.33350879101020.34144609383718
0.1489.4598549191280.434849248569683
0.1589.60896934666270.550552801065187
0.1689.78595651633990.652542174029986
0.1789.98531572415450.714694928622398
0.1890.19487628330.725122222040757
0.1990.40087201450270.688756040223688
0.290.59261668319660.624186445430138
0.2190.76540534729770.557103676735729
0.2290.92096932895630.512058063483292
0.2391.06575665205070.503322239123359
0.2491.20803576375550.529873335606284
0.2591.35505353872440.578257939588074
0.2691.51123118835490.632061341697134
0.2791.67784936178970.679458222939441
0.2891.85408851350540.716507567793927
0.2992.03883535690720.748779257394841
0.392.23245197331540.789149678059895
0.3192.43776934359940.852293062902298
0.3292.65987571194350.947694884136301
0.3392.90471660753521.07337724756199
0.3493.17695780357351.21550466415881
0.3593.4778374146041.35197503386739
0.3693.80375442713341.45809581422767
0.3794.14610255534031.51294420784748
0.3894.49244767593091.50405451900587
0.3994.8287134940411.43028457406809
0.495.14173822645221.30199123337137
0.4195.42149483643871.13720992310271
0.4295.66243614214720.957920383176111
0.4395.86375133458730.784560298900313
0.4496.02866989079110.633217668020016
0.4596.16319832762210.513577844677959
0.4696.27475525856710.429357733307014
0.4796.3710831315010.379879626416118
0.4896.45962067773410.362683534391031
0.4996.54730336798510.375384728086666
0.596.64059682897320.416293173260471
0.5196.74550702373690.483604840539292
0.5296.86736007511850.573435282102799
0.5397.01027822375130.678476748903219
0.5497.17644580742030.787931837857598
0.5597.36539872652410.887969239424362
0.5697.57362804526140.964577160747069
0.5797.79473445988871.00567173604674
0.5898.02021609678961.00422004288961
0.5998.24076839549420.960030431015053
0.698.44779652030370.879613448452243
0.6198.6347575438740.774736040993567
0.6298.79799648512320.659724834522118
0.6398.93690145119170.548322115143112
0.6499.05341860126440.451076888311461
0.6599.15115859183420.373832888918418
0.6699.23442694932960.31768989966929
0.6799.30749252466420.280205576707231
0.6899.37428470089820.258216100405141
0.6999.43852770545680.249990096853013
0.799.50413964750070.257300751485095
0.7199.57560212913320.284069338993343
0.7299.65798628576780.33320040813389
0.7399.75642308712160.403045423766424
0.7499.87501791993190.486393782003991
0.75100.0154780446920.57047700475922
0.76100.1759499510430.639501311223112
0.77100.350636806620.678341292225802
0.78100.5306032433060.677277972635528
0.79100.7057883230340.635680154483524
0.8100.8677655690090.563639783023175
0.81101.0124067096680.480195192269863
0.82101.1414881953390.409252827870145
0.83101.2624850123850.37391842807542
0.84101.3862824601850.386101180718711
0.85101.5232197048650.435152322036181
0.86101.6786390897070.493721976287443
0.87101.8496976391790.530494490858752
0.88102.0251647698170.521784966721515
0.89102.1889400076270.460544906209294
0.9102.3264995654450.360150018809177
0.91102.4334300624470.250441406677989
0.92102.5309809990940.184145833819431
0.93102.7110537359530.34384637536061
0.94103.2565816794171.12945712828998
0.95104.847251637433.27583792049278
0.96108.605139440827.3944260454639
0.97115.31798247685411.9719546611917
0.98123.68912709033312.1418631298102
0.99130.0207135108895.5848092003402

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 87.1603234196296 & 0.00162217151946488 \tabularnewline
0.02 & 87.1641572910642 & 0.0169231947706336 \tabularnewline
0.03 & 87.1841268907455 & 0.0785852678143009 \tabularnewline
0.04 & 87.2476337339844 & 0.224341936894643 \tabularnewline
0.05 & 87.3890916700457 & 0.450954213917162 \tabularnewline
0.06 & 87.6272251437527 & 0.687916370046685 \tabularnewline
0.07 & 87.9452994827752 & 0.835816205949954 \tabularnewline
0.08 & 88.2942519945184 & 0.837407386765665 \tabularnewline
0.09 & 88.6176613782489 & 0.712893396227758 \tabularnewline
0.1 & 88.8785876759407 & 0.535501572110497 \tabularnewline
0.11 & 89.0708131219736 & 0.383917517647618 \tabularnewline
0.12 & 89.2127770054199 & 0.313856359561089 \tabularnewline
0.13 & 89.3335087910102 & 0.34144609383718 \tabularnewline
0.14 & 89.459854919128 & 0.434849248569683 \tabularnewline
0.15 & 89.6089693466627 & 0.550552801065187 \tabularnewline
0.16 & 89.7859565163399 & 0.652542174029986 \tabularnewline
0.17 & 89.9853157241545 & 0.714694928622398 \tabularnewline
0.18 & 90.1948762833 & 0.725122222040757 \tabularnewline
0.19 & 90.4008720145027 & 0.688756040223688 \tabularnewline
0.2 & 90.5926166831966 & 0.624186445430138 \tabularnewline
0.21 & 90.7654053472977 & 0.557103676735729 \tabularnewline
0.22 & 90.9209693289563 & 0.512058063483292 \tabularnewline
0.23 & 91.0657566520507 & 0.503322239123359 \tabularnewline
0.24 & 91.2080357637555 & 0.529873335606284 \tabularnewline
0.25 & 91.3550535387244 & 0.578257939588074 \tabularnewline
0.26 & 91.5112311883549 & 0.632061341697134 \tabularnewline
0.27 & 91.6778493617897 & 0.679458222939441 \tabularnewline
0.28 & 91.8540885135054 & 0.716507567793927 \tabularnewline
0.29 & 92.0388353569072 & 0.748779257394841 \tabularnewline
0.3 & 92.2324519733154 & 0.789149678059895 \tabularnewline
0.31 & 92.4377693435994 & 0.852293062902298 \tabularnewline
0.32 & 92.6598757119435 & 0.947694884136301 \tabularnewline
0.33 & 92.9047166075352 & 1.07337724756199 \tabularnewline
0.34 & 93.1769578035735 & 1.21550466415881 \tabularnewline
0.35 & 93.477837414604 & 1.35197503386739 \tabularnewline
0.36 & 93.8037544271334 & 1.45809581422767 \tabularnewline
0.37 & 94.1461025553403 & 1.51294420784748 \tabularnewline
0.38 & 94.4924476759309 & 1.50405451900587 \tabularnewline
0.39 & 94.828713494041 & 1.43028457406809 \tabularnewline
0.4 & 95.1417382264522 & 1.30199123337137 \tabularnewline
0.41 & 95.4214948364387 & 1.13720992310271 \tabularnewline
0.42 & 95.6624361421472 & 0.957920383176111 \tabularnewline
0.43 & 95.8637513345873 & 0.784560298900313 \tabularnewline
0.44 & 96.0286698907911 & 0.633217668020016 \tabularnewline
0.45 & 96.1631983276221 & 0.513577844677959 \tabularnewline
0.46 & 96.2747552585671 & 0.429357733307014 \tabularnewline
0.47 & 96.371083131501 & 0.379879626416118 \tabularnewline
0.48 & 96.4596206777341 & 0.362683534391031 \tabularnewline
0.49 & 96.5473033679851 & 0.375384728086666 \tabularnewline
0.5 & 96.6405968289732 & 0.416293173260471 \tabularnewline
0.51 & 96.7455070237369 & 0.483604840539292 \tabularnewline
0.52 & 96.8673600751185 & 0.573435282102799 \tabularnewline
0.53 & 97.0102782237513 & 0.678476748903219 \tabularnewline
0.54 & 97.1764458074203 & 0.787931837857598 \tabularnewline
0.55 & 97.3653987265241 & 0.887969239424362 \tabularnewline
0.56 & 97.5736280452614 & 0.964577160747069 \tabularnewline
0.57 & 97.7947344598887 & 1.00567173604674 \tabularnewline
0.58 & 98.0202160967896 & 1.00422004288961 \tabularnewline
0.59 & 98.2407683954942 & 0.960030431015053 \tabularnewline
0.6 & 98.4477965203037 & 0.879613448452243 \tabularnewline
0.61 & 98.634757543874 & 0.774736040993567 \tabularnewline
0.62 & 98.7979964851232 & 0.659724834522118 \tabularnewline
0.63 & 98.9369014511917 & 0.548322115143112 \tabularnewline
0.64 & 99.0534186012644 & 0.451076888311461 \tabularnewline
0.65 & 99.1511585918342 & 0.373832888918418 \tabularnewline
0.66 & 99.2344269493296 & 0.31768989966929 \tabularnewline
0.67 & 99.3074925246642 & 0.280205576707231 \tabularnewline
0.68 & 99.3742847008982 & 0.258216100405141 \tabularnewline
0.69 & 99.4385277054568 & 0.249990096853013 \tabularnewline
0.7 & 99.5041396475007 & 0.257300751485095 \tabularnewline
0.71 & 99.5756021291332 & 0.284069338993343 \tabularnewline
0.72 & 99.6579862857678 & 0.33320040813389 \tabularnewline
0.73 & 99.7564230871216 & 0.403045423766424 \tabularnewline
0.74 & 99.8750179199319 & 0.486393782003991 \tabularnewline
0.75 & 100.015478044692 & 0.57047700475922 \tabularnewline
0.76 & 100.175949951043 & 0.639501311223112 \tabularnewline
0.77 & 100.35063680662 & 0.678341292225802 \tabularnewline
0.78 & 100.530603243306 & 0.677277972635528 \tabularnewline
0.79 & 100.705788323034 & 0.635680154483524 \tabularnewline
0.8 & 100.867765569009 & 0.563639783023175 \tabularnewline
0.81 & 101.012406709668 & 0.480195192269863 \tabularnewline
0.82 & 101.141488195339 & 0.409252827870145 \tabularnewline
0.83 & 101.262485012385 & 0.37391842807542 \tabularnewline
0.84 & 101.386282460185 & 0.386101180718711 \tabularnewline
0.85 & 101.523219704865 & 0.435152322036181 \tabularnewline
0.86 & 101.678639089707 & 0.493721976287443 \tabularnewline
0.87 & 101.849697639179 & 0.530494490858752 \tabularnewline
0.88 & 102.025164769817 & 0.521784966721515 \tabularnewline
0.89 & 102.188940007627 & 0.460544906209294 \tabularnewline
0.9 & 102.326499565445 & 0.360150018809177 \tabularnewline
0.91 & 102.433430062447 & 0.250441406677989 \tabularnewline
0.92 & 102.530980999094 & 0.184145833819431 \tabularnewline
0.93 & 102.711053735953 & 0.34384637536061 \tabularnewline
0.94 & 103.256581679417 & 1.12945712828998 \tabularnewline
0.95 & 104.84725163743 & 3.27583792049278 \tabularnewline
0.96 & 108.60513944082 & 7.3944260454639 \tabularnewline
0.97 & 115.317982476854 & 11.9719546611917 \tabularnewline
0.98 & 123.689127090333 & 12.1418631298102 \tabularnewline
0.99 & 130.020713510889 & 5.5848092003402 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293078&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]87.1603234196296[/C][C]0.00162217151946488[/C][/ROW]
[ROW][C]0.02[/C][C]87.1641572910642[/C][C]0.0169231947706336[/C][/ROW]
[ROW][C]0.03[/C][C]87.1841268907455[/C][C]0.0785852678143009[/C][/ROW]
[ROW][C]0.04[/C][C]87.2476337339844[/C][C]0.224341936894643[/C][/ROW]
[ROW][C]0.05[/C][C]87.3890916700457[/C][C]0.450954213917162[/C][/ROW]
[ROW][C]0.06[/C][C]87.6272251437527[/C][C]0.687916370046685[/C][/ROW]
[ROW][C]0.07[/C][C]87.9452994827752[/C][C]0.835816205949954[/C][/ROW]
[ROW][C]0.08[/C][C]88.2942519945184[/C][C]0.837407386765665[/C][/ROW]
[ROW][C]0.09[/C][C]88.6176613782489[/C][C]0.712893396227758[/C][/ROW]
[ROW][C]0.1[/C][C]88.8785876759407[/C][C]0.535501572110497[/C][/ROW]
[ROW][C]0.11[/C][C]89.0708131219736[/C][C]0.383917517647618[/C][/ROW]
[ROW][C]0.12[/C][C]89.2127770054199[/C][C]0.313856359561089[/C][/ROW]
[ROW][C]0.13[/C][C]89.3335087910102[/C][C]0.34144609383718[/C][/ROW]
[ROW][C]0.14[/C][C]89.459854919128[/C][C]0.434849248569683[/C][/ROW]
[ROW][C]0.15[/C][C]89.6089693466627[/C][C]0.550552801065187[/C][/ROW]
[ROW][C]0.16[/C][C]89.7859565163399[/C][C]0.652542174029986[/C][/ROW]
[ROW][C]0.17[/C][C]89.9853157241545[/C][C]0.714694928622398[/C][/ROW]
[ROW][C]0.18[/C][C]90.1948762833[/C][C]0.725122222040757[/C][/ROW]
[ROW][C]0.19[/C][C]90.4008720145027[/C][C]0.688756040223688[/C][/ROW]
[ROW][C]0.2[/C][C]90.5926166831966[/C][C]0.624186445430138[/C][/ROW]
[ROW][C]0.21[/C][C]90.7654053472977[/C][C]0.557103676735729[/C][/ROW]
[ROW][C]0.22[/C][C]90.9209693289563[/C][C]0.512058063483292[/C][/ROW]
[ROW][C]0.23[/C][C]91.0657566520507[/C][C]0.503322239123359[/C][/ROW]
[ROW][C]0.24[/C][C]91.2080357637555[/C][C]0.529873335606284[/C][/ROW]
[ROW][C]0.25[/C][C]91.3550535387244[/C][C]0.578257939588074[/C][/ROW]
[ROW][C]0.26[/C][C]91.5112311883549[/C][C]0.632061341697134[/C][/ROW]
[ROW][C]0.27[/C][C]91.6778493617897[/C][C]0.679458222939441[/C][/ROW]
[ROW][C]0.28[/C][C]91.8540885135054[/C][C]0.716507567793927[/C][/ROW]
[ROW][C]0.29[/C][C]92.0388353569072[/C][C]0.748779257394841[/C][/ROW]
[ROW][C]0.3[/C][C]92.2324519733154[/C][C]0.789149678059895[/C][/ROW]
[ROW][C]0.31[/C][C]92.4377693435994[/C][C]0.852293062902298[/C][/ROW]
[ROW][C]0.32[/C][C]92.6598757119435[/C][C]0.947694884136301[/C][/ROW]
[ROW][C]0.33[/C][C]92.9047166075352[/C][C]1.07337724756199[/C][/ROW]
[ROW][C]0.34[/C][C]93.1769578035735[/C][C]1.21550466415881[/C][/ROW]
[ROW][C]0.35[/C][C]93.477837414604[/C][C]1.35197503386739[/C][/ROW]
[ROW][C]0.36[/C][C]93.8037544271334[/C][C]1.45809581422767[/C][/ROW]
[ROW][C]0.37[/C][C]94.1461025553403[/C][C]1.51294420784748[/C][/ROW]
[ROW][C]0.38[/C][C]94.4924476759309[/C][C]1.50405451900587[/C][/ROW]
[ROW][C]0.39[/C][C]94.828713494041[/C][C]1.43028457406809[/C][/ROW]
[ROW][C]0.4[/C][C]95.1417382264522[/C][C]1.30199123337137[/C][/ROW]
[ROW][C]0.41[/C][C]95.4214948364387[/C][C]1.13720992310271[/C][/ROW]
[ROW][C]0.42[/C][C]95.6624361421472[/C][C]0.957920383176111[/C][/ROW]
[ROW][C]0.43[/C][C]95.8637513345873[/C][C]0.784560298900313[/C][/ROW]
[ROW][C]0.44[/C][C]96.0286698907911[/C][C]0.633217668020016[/C][/ROW]
[ROW][C]0.45[/C][C]96.1631983276221[/C][C]0.513577844677959[/C][/ROW]
[ROW][C]0.46[/C][C]96.2747552585671[/C][C]0.429357733307014[/C][/ROW]
[ROW][C]0.47[/C][C]96.371083131501[/C][C]0.379879626416118[/C][/ROW]
[ROW][C]0.48[/C][C]96.4596206777341[/C][C]0.362683534391031[/C][/ROW]
[ROW][C]0.49[/C][C]96.5473033679851[/C][C]0.375384728086666[/C][/ROW]
[ROW][C]0.5[/C][C]96.6405968289732[/C][C]0.416293173260471[/C][/ROW]
[ROW][C]0.51[/C][C]96.7455070237369[/C][C]0.483604840539292[/C][/ROW]
[ROW][C]0.52[/C][C]96.8673600751185[/C][C]0.573435282102799[/C][/ROW]
[ROW][C]0.53[/C][C]97.0102782237513[/C][C]0.678476748903219[/C][/ROW]
[ROW][C]0.54[/C][C]97.1764458074203[/C][C]0.787931837857598[/C][/ROW]
[ROW][C]0.55[/C][C]97.3653987265241[/C][C]0.887969239424362[/C][/ROW]
[ROW][C]0.56[/C][C]97.5736280452614[/C][C]0.964577160747069[/C][/ROW]
[ROW][C]0.57[/C][C]97.7947344598887[/C][C]1.00567173604674[/C][/ROW]
[ROW][C]0.58[/C][C]98.0202160967896[/C][C]1.00422004288961[/C][/ROW]
[ROW][C]0.59[/C][C]98.2407683954942[/C][C]0.960030431015053[/C][/ROW]
[ROW][C]0.6[/C][C]98.4477965203037[/C][C]0.879613448452243[/C][/ROW]
[ROW][C]0.61[/C][C]98.634757543874[/C][C]0.774736040993567[/C][/ROW]
[ROW][C]0.62[/C][C]98.7979964851232[/C][C]0.659724834522118[/C][/ROW]
[ROW][C]0.63[/C][C]98.9369014511917[/C][C]0.548322115143112[/C][/ROW]
[ROW][C]0.64[/C][C]99.0534186012644[/C][C]0.451076888311461[/C][/ROW]
[ROW][C]0.65[/C][C]99.1511585918342[/C][C]0.373832888918418[/C][/ROW]
[ROW][C]0.66[/C][C]99.2344269493296[/C][C]0.31768989966929[/C][/ROW]
[ROW][C]0.67[/C][C]99.3074925246642[/C][C]0.280205576707231[/C][/ROW]
[ROW][C]0.68[/C][C]99.3742847008982[/C][C]0.258216100405141[/C][/ROW]
[ROW][C]0.69[/C][C]99.4385277054568[/C][C]0.249990096853013[/C][/ROW]
[ROW][C]0.7[/C][C]99.5041396475007[/C][C]0.257300751485095[/C][/ROW]
[ROW][C]0.71[/C][C]99.5756021291332[/C][C]0.284069338993343[/C][/ROW]
[ROW][C]0.72[/C][C]99.6579862857678[/C][C]0.33320040813389[/C][/ROW]
[ROW][C]0.73[/C][C]99.7564230871216[/C][C]0.403045423766424[/C][/ROW]
[ROW][C]0.74[/C][C]99.8750179199319[/C][C]0.486393782003991[/C][/ROW]
[ROW][C]0.75[/C][C]100.015478044692[/C][C]0.57047700475922[/C][/ROW]
[ROW][C]0.76[/C][C]100.175949951043[/C][C]0.639501311223112[/C][/ROW]
[ROW][C]0.77[/C][C]100.35063680662[/C][C]0.678341292225802[/C][/ROW]
[ROW][C]0.78[/C][C]100.530603243306[/C][C]0.677277972635528[/C][/ROW]
[ROW][C]0.79[/C][C]100.705788323034[/C][C]0.635680154483524[/C][/ROW]
[ROW][C]0.8[/C][C]100.867765569009[/C][C]0.563639783023175[/C][/ROW]
[ROW][C]0.81[/C][C]101.012406709668[/C][C]0.480195192269863[/C][/ROW]
[ROW][C]0.82[/C][C]101.141488195339[/C][C]0.409252827870145[/C][/ROW]
[ROW][C]0.83[/C][C]101.262485012385[/C][C]0.37391842807542[/C][/ROW]
[ROW][C]0.84[/C][C]101.386282460185[/C][C]0.386101180718711[/C][/ROW]
[ROW][C]0.85[/C][C]101.523219704865[/C][C]0.435152322036181[/C][/ROW]
[ROW][C]0.86[/C][C]101.678639089707[/C][C]0.493721976287443[/C][/ROW]
[ROW][C]0.87[/C][C]101.849697639179[/C][C]0.530494490858752[/C][/ROW]
[ROW][C]0.88[/C][C]102.025164769817[/C][C]0.521784966721515[/C][/ROW]
[ROW][C]0.89[/C][C]102.188940007627[/C][C]0.460544906209294[/C][/ROW]
[ROW][C]0.9[/C][C]102.326499565445[/C][C]0.360150018809177[/C][/ROW]
[ROW][C]0.91[/C][C]102.433430062447[/C][C]0.250441406677989[/C][/ROW]
[ROW][C]0.92[/C][C]102.530980999094[/C][C]0.184145833819431[/C][/ROW]
[ROW][C]0.93[/C][C]102.711053735953[/C][C]0.34384637536061[/C][/ROW]
[ROW][C]0.94[/C][C]103.256581679417[/C][C]1.12945712828998[/C][/ROW]
[ROW][C]0.95[/C][C]104.84725163743[/C][C]3.27583792049278[/C][/ROW]
[ROW][C]0.96[/C][C]108.60513944082[/C][C]7.3944260454639[/C][/ROW]
[ROW][C]0.97[/C][C]115.317982476854[/C][C]11.9719546611917[/C][/ROW]
[ROW][C]0.98[/C][C]123.689127090333[/C][C]12.1418631298102[/C][/ROW]
[ROW][C]0.99[/C][C]130.020713510889[/C][C]5.5848092003402[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293078&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293078&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
0.0187.16032341962960.00162217151946488
0.0287.16415729106420.0169231947706336
0.0387.18412689074550.0785852678143009
0.0487.24763373398440.224341936894643
0.0587.38909167004570.450954213917162
0.0687.62722514375270.687916370046685
0.0787.94529948277520.835816205949954
0.0888.29425199451840.837407386765665
0.0988.61766137824890.712893396227758
0.188.87858767594070.535501572110497
0.1189.07081312197360.383917517647618
0.1289.21277700541990.313856359561089
0.1389.33350879101020.34144609383718
0.1489.4598549191280.434849248569683
0.1589.60896934666270.550552801065187
0.1689.78595651633990.652542174029986
0.1789.98531572415450.714694928622398
0.1890.19487628330.725122222040757
0.1990.40087201450270.688756040223688
0.290.59261668319660.624186445430138
0.2190.76540534729770.557103676735729
0.2290.92096932895630.512058063483292
0.2391.06575665205070.503322239123359
0.2491.20803576375550.529873335606284
0.2591.35505353872440.578257939588074
0.2691.51123118835490.632061341697134
0.2791.67784936178970.679458222939441
0.2891.85408851350540.716507567793927
0.2992.03883535690720.748779257394841
0.392.23245197331540.789149678059895
0.3192.43776934359940.852293062902298
0.3292.65987571194350.947694884136301
0.3392.90471660753521.07337724756199
0.3493.17695780357351.21550466415881
0.3593.4778374146041.35197503386739
0.3693.80375442713341.45809581422767
0.3794.14610255534031.51294420784748
0.3894.49244767593091.50405451900587
0.3994.8287134940411.43028457406809
0.495.14173822645221.30199123337137
0.4195.42149483643871.13720992310271
0.4295.66243614214720.957920383176111
0.4395.86375133458730.784560298900313
0.4496.02866989079110.633217668020016
0.4596.16319832762210.513577844677959
0.4696.27475525856710.429357733307014
0.4796.3710831315010.379879626416118
0.4896.45962067773410.362683534391031
0.4996.54730336798510.375384728086666
0.596.64059682897320.416293173260471
0.5196.74550702373690.483604840539292
0.5296.86736007511850.573435282102799
0.5397.01027822375130.678476748903219
0.5497.17644580742030.787931837857598
0.5597.36539872652410.887969239424362
0.5697.57362804526140.964577160747069
0.5797.79473445988871.00567173604674
0.5898.02021609678961.00422004288961
0.5998.24076839549420.960030431015053
0.698.44779652030370.879613448452243
0.6198.6347575438740.774736040993567
0.6298.79799648512320.659724834522118
0.6398.93690145119170.548322115143112
0.6499.05341860126440.451076888311461
0.6599.15115859183420.373832888918418
0.6699.23442694932960.31768989966929
0.6799.30749252466420.280205576707231
0.6899.37428470089820.258216100405141
0.6999.43852770545680.249990096853013
0.799.50413964750070.257300751485095
0.7199.57560212913320.284069338993343
0.7299.65798628576780.33320040813389
0.7399.75642308712160.403045423766424
0.7499.87501791993190.486393782003991
0.75100.0154780446920.57047700475922
0.76100.1759499510430.639501311223112
0.77100.350636806620.678341292225802
0.78100.5306032433060.677277972635528
0.79100.7057883230340.635680154483524
0.8100.8677655690090.563639783023175
0.81101.0124067096680.480195192269863
0.82101.1414881953390.409252827870145
0.83101.2624850123850.37391842807542
0.84101.3862824601850.386101180718711
0.85101.5232197048650.435152322036181
0.86101.6786390897070.493721976287443
0.87101.8496976391790.530494490858752
0.88102.0251647698170.521784966721515
0.89102.1889400076270.460544906209294
0.9102.3264995654450.360150018809177
0.91102.4334300624470.250441406677989
0.92102.5309809990940.184145833819431
0.93102.7110537359530.34384637536061
0.94103.2565816794171.12945712828998
0.95104.847251637433.27583792049278
0.96108.605139440827.3944260454639
0.97115.31798247685411.9719546611917
0.98123.68912709033312.1418631298102
0.99130.0207135108895.5848092003402


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')