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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, 28 Feb 2017 11:51:47 +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/2017/Feb/28/t1488282869n79rk4xtcxnk843.htm/, Retrieved Fri, 10 May 2024 00:07:25 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 10 May 2024 00:07:25 +0200
QR Codes:

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

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95.2
95.34
95.32
96.04
99.65
100.85
108.18
108.18
103.14
99.71
99.39
98.99
98.83
99.52
99.5
99.5
99.39
101.79
106.03
105.41
104.32
101.17
99.79
100.08
100.27
101.63
101.74
103.73
103.29
105.71
107.42
107.57
105.13
103.61
102.35
102.14
104.32
104.69
106.02
104.78
106.36
109.27
113.46
113.46
110.61
104.37
103.82
104.1

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'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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 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=&T=0

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

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.2377723178370.155188169895715
0.0295.31785380106980.285831002174337
0.0395.45225951214810.511118274023528
0.0495.65035499702940.793909688561203
0.0595.91504556171561.08358179636801
0.0696.24017164126141.32938833672822
0.0796.61075240383661.4934218453009
0.0897.00586286818051.55799652525684
0.0997.40280675258271.52612080436063
0.197.7810933457151.41637974198249
0.1198.12520022600281.2553563837953
0.1298.42576345152131.07023453169316
0.1398.67937549117240.884335675762218
0.1498.88746191270840.714311094785231
0.1599.05476135649340.569795361006947
0.1699.18783024614820.455167325015941
0.1799.29382711943810.370679666318353
0.1899.37967249195390.314561133994848
0.1999.45156632638950.284004935487236
0.299.51478474228420.275149637933796
0.2199.57366084668180.28395400044327
0.2299.63166510860860.306891180047671
0.2399.69152324955230.340226806171838
0.2499.75533353988540.381846713728324
0.2599.82466508574710.429466154972047
0.2699.90063238040120.48120283374224
0.2799.9839494814410.535149414885583
0.28100.0749709320260.589438611978947
0.29100.1737273220720.64238769379424
0.3100.2799622849880.692395172826714
0.31100.393175552980.737980532756545
0.32100.5126740361360.778139079105293
0.33100.6376302047310.812192820710548
0.34100.7671447205010.839932469419557
0.35100.90030859150.861558120844256
0.36101.0362593350610.877673907887467
0.37101.1742258200490.889192928785322
0.38101.3135575746670.897174418632506
0.39101.4537361984920.902688794210286
0.4101.5943687999510.906631126874312
0.41101.7351657191520.909647786243072
0.42101.8759068125550.912154585508273
0.43102.0164019518350.91388162270347
0.44102.156451919290.914501209930206
0.45102.2958155065610.9132477251451
0.46102.4341874342690.909450465497689
0.47102.5711899293110.902365978292881
0.48102.7063787311480.891148484673219
0.49102.8392622832150.875615688652754
0.5102.9693312018630.855651410773004
0.51103.0960940208470.831694235154092
0.52103.219114785930.804137166208566
0.53103.338048299980.773830604752236
0.54103.4526695653030.741923660679588
0.55103.5628950372420.709433284490854
0.56103.6687944678160.677550919442987
0.57103.7705931799090.647352432267447
0.58103.8686654319430.6200555559305
0.59103.9635200519550.596437385727184
0.6104.0557797627250.577264011608406
0.61104.1461556739290.563020937085189
0.62104.2354184028720.554152188426429
0.63104.3243673161680.550589729674825
0.64104.4137995335810.552257257510588
0.65104.5044806088640.558679873599723
0.66104.5971191311850.569261068512996
0.67104.692347735950.583206220856608
0.68104.7907129932090.599495394032746
0.69104.8926761697110.61745677532466
0.7104.9986258009090.636272866190037
0.71105.1089013336280.655519609222271
0.72105.2238249428820.674845095288592
0.73105.3437363216430.694498405967331
0.74105.4690233264410.714736197042873
0.75105.6001405212250.73635247272786
0.76105.737608615570.759999392468166
0.77105.8819911052770.785938761170175
0.78106.0338502726950.814235560658977
0.79106.1936926576610.844248178423376
0.8106.3619229735290.874678462656601
0.81106.538833270140.90368507924452
0.82106.7246584680580.929527575199962
0.83106.9197276624880.950874031795232
0.84107.1247307589210.967890599348152
0.85107.34110088890.982580163497957
0.86107.5714843122260.999595056158369
0.87107.8202307894691.02618433727835
0.88108.0937871416581.07170393497736
0.89108.4008121693561.14579674204229
0.9108.7517531083521.25572734541638
0.91109.1575503219911.40306328855506
0.92109.6271259135261.58027432945684
0.93110.16348120991.76638456115483
0.94110.7587385362441.92236631890376
0.95111.3894142366761.98938548291344
0.96112.0144227716321.89732792290704
0.97112.5790763754891.5921932641574
0.98113.0274176428171.08213729557588
0.99113.3214813358720.481014230654695

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 95.237772317837 & 0.155188169895715 \tabularnewline
0.02 & 95.3178538010698 & 0.285831002174337 \tabularnewline
0.03 & 95.4522595121481 & 0.511118274023528 \tabularnewline
0.04 & 95.6503549970294 & 0.793909688561203 \tabularnewline
0.05 & 95.9150455617156 & 1.08358179636801 \tabularnewline
0.06 & 96.2401716412614 & 1.32938833672822 \tabularnewline
0.07 & 96.6107524038366 & 1.4934218453009 \tabularnewline
0.08 & 97.0058628681805 & 1.55799652525684 \tabularnewline
0.09 & 97.4028067525827 & 1.52612080436063 \tabularnewline
0.1 & 97.781093345715 & 1.41637974198249 \tabularnewline
0.11 & 98.1252002260028 & 1.2553563837953 \tabularnewline
0.12 & 98.4257634515213 & 1.07023453169316 \tabularnewline
0.13 & 98.6793754911724 & 0.884335675762218 \tabularnewline
0.14 & 98.8874619127084 & 0.714311094785231 \tabularnewline
0.15 & 99.0547613564934 & 0.569795361006947 \tabularnewline
0.16 & 99.1878302461482 & 0.455167325015941 \tabularnewline
0.17 & 99.2938271194381 & 0.370679666318353 \tabularnewline
0.18 & 99.3796724919539 & 0.314561133994848 \tabularnewline
0.19 & 99.4515663263895 & 0.284004935487236 \tabularnewline
0.2 & 99.5147847422842 & 0.275149637933796 \tabularnewline
0.21 & 99.5736608466818 & 0.28395400044327 \tabularnewline
0.22 & 99.6316651086086 & 0.306891180047671 \tabularnewline
0.23 & 99.6915232495523 & 0.340226806171838 \tabularnewline
0.24 & 99.7553335398854 & 0.381846713728324 \tabularnewline
0.25 & 99.8246650857471 & 0.429466154972047 \tabularnewline
0.26 & 99.9006323804012 & 0.48120283374224 \tabularnewline
0.27 & 99.983949481441 & 0.535149414885583 \tabularnewline
0.28 & 100.074970932026 & 0.589438611978947 \tabularnewline
0.29 & 100.173727322072 & 0.64238769379424 \tabularnewline
0.3 & 100.279962284988 & 0.692395172826714 \tabularnewline
0.31 & 100.39317555298 & 0.737980532756545 \tabularnewline
0.32 & 100.512674036136 & 0.778139079105293 \tabularnewline
0.33 & 100.637630204731 & 0.812192820710548 \tabularnewline
0.34 & 100.767144720501 & 0.839932469419557 \tabularnewline
0.35 & 100.9003085915 & 0.861558120844256 \tabularnewline
0.36 & 101.036259335061 & 0.877673907887467 \tabularnewline
0.37 & 101.174225820049 & 0.889192928785322 \tabularnewline
0.38 & 101.313557574667 & 0.897174418632506 \tabularnewline
0.39 & 101.453736198492 & 0.902688794210286 \tabularnewline
0.4 & 101.594368799951 & 0.906631126874312 \tabularnewline
0.41 & 101.735165719152 & 0.909647786243072 \tabularnewline
0.42 & 101.875906812555 & 0.912154585508273 \tabularnewline
0.43 & 102.016401951835 & 0.91388162270347 \tabularnewline
0.44 & 102.15645191929 & 0.914501209930206 \tabularnewline
0.45 & 102.295815506561 & 0.9132477251451 \tabularnewline
0.46 & 102.434187434269 & 0.909450465497689 \tabularnewline
0.47 & 102.571189929311 & 0.902365978292881 \tabularnewline
0.48 & 102.706378731148 & 0.891148484673219 \tabularnewline
0.49 & 102.839262283215 & 0.875615688652754 \tabularnewline
0.5 & 102.969331201863 & 0.855651410773004 \tabularnewline
0.51 & 103.096094020847 & 0.831694235154092 \tabularnewline
0.52 & 103.21911478593 & 0.804137166208566 \tabularnewline
0.53 & 103.33804829998 & 0.773830604752236 \tabularnewline
0.54 & 103.452669565303 & 0.741923660679588 \tabularnewline
0.55 & 103.562895037242 & 0.709433284490854 \tabularnewline
0.56 & 103.668794467816 & 0.677550919442987 \tabularnewline
0.57 & 103.770593179909 & 0.647352432267447 \tabularnewline
0.58 & 103.868665431943 & 0.6200555559305 \tabularnewline
0.59 & 103.963520051955 & 0.596437385727184 \tabularnewline
0.6 & 104.055779762725 & 0.577264011608406 \tabularnewline
0.61 & 104.146155673929 & 0.563020937085189 \tabularnewline
0.62 & 104.235418402872 & 0.554152188426429 \tabularnewline
0.63 & 104.324367316168 & 0.550589729674825 \tabularnewline
0.64 & 104.413799533581 & 0.552257257510588 \tabularnewline
0.65 & 104.504480608864 & 0.558679873599723 \tabularnewline
0.66 & 104.597119131185 & 0.569261068512996 \tabularnewline
0.67 & 104.69234773595 & 0.583206220856608 \tabularnewline
0.68 & 104.790712993209 & 0.599495394032746 \tabularnewline
0.69 & 104.892676169711 & 0.61745677532466 \tabularnewline
0.7 & 104.998625800909 & 0.636272866190037 \tabularnewline
0.71 & 105.108901333628 & 0.655519609222271 \tabularnewline
0.72 & 105.223824942882 & 0.674845095288592 \tabularnewline
0.73 & 105.343736321643 & 0.694498405967331 \tabularnewline
0.74 & 105.469023326441 & 0.714736197042873 \tabularnewline
0.75 & 105.600140521225 & 0.73635247272786 \tabularnewline
0.76 & 105.73760861557 & 0.759999392468166 \tabularnewline
0.77 & 105.881991105277 & 0.785938761170175 \tabularnewline
0.78 & 106.033850272695 & 0.814235560658977 \tabularnewline
0.79 & 106.193692657661 & 0.844248178423376 \tabularnewline
0.8 & 106.361922973529 & 0.874678462656601 \tabularnewline
0.81 & 106.53883327014 & 0.90368507924452 \tabularnewline
0.82 & 106.724658468058 & 0.929527575199962 \tabularnewline
0.83 & 106.919727662488 & 0.950874031795232 \tabularnewline
0.84 & 107.124730758921 & 0.967890599348152 \tabularnewline
0.85 & 107.3411008889 & 0.982580163497957 \tabularnewline
0.86 & 107.571484312226 & 0.999595056158369 \tabularnewline
0.87 & 107.820230789469 & 1.02618433727835 \tabularnewline
0.88 & 108.093787141658 & 1.07170393497736 \tabularnewline
0.89 & 108.400812169356 & 1.14579674204229 \tabularnewline
0.9 & 108.751753108352 & 1.25572734541638 \tabularnewline
0.91 & 109.157550321991 & 1.40306328855506 \tabularnewline
0.92 & 109.627125913526 & 1.58027432945684 \tabularnewline
0.93 & 110.1634812099 & 1.76638456115483 \tabularnewline
0.94 & 110.758738536244 & 1.92236631890376 \tabularnewline
0.95 & 111.389414236676 & 1.98938548291344 \tabularnewline
0.96 & 112.014422771632 & 1.89732792290704 \tabularnewline
0.97 & 112.579076375489 & 1.5921932641574 \tabularnewline
0.98 & 113.027417642817 & 1.08213729557588 \tabularnewline
0.99 & 113.321481335872 & 0.481014230654695 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]95.237772317837[/C][C]0.155188169895715[/C][/ROW]
[ROW][C]0.02[/C][C]95.3178538010698[/C][C]0.285831002174337[/C][/ROW]
[ROW][C]0.03[/C][C]95.4522595121481[/C][C]0.511118274023528[/C][/ROW]
[ROW][C]0.04[/C][C]95.6503549970294[/C][C]0.793909688561203[/C][/ROW]
[ROW][C]0.05[/C][C]95.9150455617156[/C][C]1.08358179636801[/C][/ROW]
[ROW][C]0.06[/C][C]96.2401716412614[/C][C]1.32938833672822[/C][/ROW]
[ROW][C]0.07[/C][C]96.6107524038366[/C][C]1.4934218453009[/C][/ROW]
[ROW][C]0.08[/C][C]97.0058628681805[/C][C]1.55799652525684[/C][/ROW]
[ROW][C]0.09[/C][C]97.4028067525827[/C][C]1.52612080436063[/C][/ROW]
[ROW][C]0.1[/C][C]97.781093345715[/C][C]1.41637974198249[/C][/ROW]
[ROW][C]0.11[/C][C]98.1252002260028[/C][C]1.2553563837953[/C][/ROW]
[ROW][C]0.12[/C][C]98.4257634515213[/C][C]1.07023453169316[/C][/ROW]
[ROW][C]0.13[/C][C]98.6793754911724[/C][C]0.884335675762218[/C][/ROW]
[ROW][C]0.14[/C][C]98.8874619127084[/C][C]0.714311094785231[/C][/ROW]
[ROW][C]0.15[/C][C]99.0547613564934[/C][C]0.569795361006947[/C][/ROW]
[ROW][C]0.16[/C][C]99.1878302461482[/C][C]0.455167325015941[/C][/ROW]
[ROW][C]0.17[/C][C]99.2938271194381[/C][C]0.370679666318353[/C][/ROW]
[ROW][C]0.18[/C][C]99.3796724919539[/C][C]0.314561133994848[/C][/ROW]
[ROW][C]0.19[/C][C]99.4515663263895[/C][C]0.284004935487236[/C][/ROW]
[ROW][C]0.2[/C][C]99.5147847422842[/C][C]0.275149637933796[/C][/ROW]
[ROW][C]0.21[/C][C]99.5736608466818[/C][C]0.28395400044327[/C][/ROW]
[ROW][C]0.22[/C][C]99.6316651086086[/C][C]0.306891180047671[/C][/ROW]
[ROW][C]0.23[/C][C]99.6915232495523[/C][C]0.340226806171838[/C][/ROW]
[ROW][C]0.24[/C][C]99.7553335398854[/C][C]0.381846713728324[/C][/ROW]
[ROW][C]0.25[/C][C]99.8246650857471[/C][C]0.429466154972047[/C][/ROW]
[ROW][C]0.26[/C][C]99.9006323804012[/C][C]0.48120283374224[/C][/ROW]
[ROW][C]0.27[/C][C]99.983949481441[/C][C]0.535149414885583[/C][/ROW]
[ROW][C]0.28[/C][C]100.074970932026[/C][C]0.589438611978947[/C][/ROW]
[ROW][C]0.29[/C][C]100.173727322072[/C][C]0.64238769379424[/C][/ROW]
[ROW][C]0.3[/C][C]100.279962284988[/C][C]0.692395172826714[/C][/ROW]
[ROW][C]0.31[/C][C]100.39317555298[/C][C]0.737980532756545[/C][/ROW]
[ROW][C]0.32[/C][C]100.512674036136[/C][C]0.778139079105293[/C][/ROW]
[ROW][C]0.33[/C][C]100.637630204731[/C][C]0.812192820710548[/C][/ROW]
[ROW][C]0.34[/C][C]100.767144720501[/C][C]0.839932469419557[/C][/ROW]
[ROW][C]0.35[/C][C]100.9003085915[/C][C]0.861558120844256[/C][/ROW]
[ROW][C]0.36[/C][C]101.036259335061[/C][C]0.877673907887467[/C][/ROW]
[ROW][C]0.37[/C][C]101.174225820049[/C][C]0.889192928785322[/C][/ROW]
[ROW][C]0.38[/C][C]101.313557574667[/C][C]0.897174418632506[/C][/ROW]
[ROW][C]0.39[/C][C]101.453736198492[/C][C]0.902688794210286[/C][/ROW]
[ROW][C]0.4[/C][C]101.594368799951[/C][C]0.906631126874312[/C][/ROW]
[ROW][C]0.41[/C][C]101.735165719152[/C][C]0.909647786243072[/C][/ROW]
[ROW][C]0.42[/C][C]101.875906812555[/C][C]0.912154585508273[/C][/ROW]
[ROW][C]0.43[/C][C]102.016401951835[/C][C]0.91388162270347[/C][/ROW]
[ROW][C]0.44[/C][C]102.15645191929[/C][C]0.914501209930206[/C][/ROW]
[ROW][C]0.45[/C][C]102.295815506561[/C][C]0.9132477251451[/C][/ROW]
[ROW][C]0.46[/C][C]102.434187434269[/C][C]0.909450465497689[/C][/ROW]
[ROW][C]0.47[/C][C]102.571189929311[/C][C]0.902365978292881[/C][/ROW]
[ROW][C]0.48[/C][C]102.706378731148[/C][C]0.891148484673219[/C][/ROW]
[ROW][C]0.49[/C][C]102.839262283215[/C][C]0.875615688652754[/C][/ROW]
[ROW][C]0.5[/C][C]102.969331201863[/C][C]0.855651410773004[/C][/ROW]
[ROW][C]0.51[/C][C]103.096094020847[/C][C]0.831694235154092[/C][/ROW]
[ROW][C]0.52[/C][C]103.21911478593[/C][C]0.804137166208566[/C][/ROW]
[ROW][C]0.53[/C][C]103.33804829998[/C][C]0.773830604752236[/C][/ROW]
[ROW][C]0.54[/C][C]103.452669565303[/C][C]0.741923660679588[/C][/ROW]
[ROW][C]0.55[/C][C]103.562895037242[/C][C]0.709433284490854[/C][/ROW]
[ROW][C]0.56[/C][C]103.668794467816[/C][C]0.677550919442987[/C][/ROW]
[ROW][C]0.57[/C][C]103.770593179909[/C][C]0.647352432267447[/C][/ROW]
[ROW][C]0.58[/C][C]103.868665431943[/C][C]0.6200555559305[/C][/ROW]
[ROW][C]0.59[/C][C]103.963520051955[/C][C]0.596437385727184[/C][/ROW]
[ROW][C]0.6[/C][C]104.055779762725[/C][C]0.577264011608406[/C][/ROW]
[ROW][C]0.61[/C][C]104.146155673929[/C][C]0.563020937085189[/C][/ROW]
[ROW][C]0.62[/C][C]104.235418402872[/C][C]0.554152188426429[/C][/ROW]
[ROW][C]0.63[/C][C]104.324367316168[/C][C]0.550589729674825[/C][/ROW]
[ROW][C]0.64[/C][C]104.413799533581[/C][C]0.552257257510588[/C][/ROW]
[ROW][C]0.65[/C][C]104.504480608864[/C][C]0.558679873599723[/C][/ROW]
[ROW][C]0.66[/C][C]104.597119131185[/C][C]0.569261068512996[/C][/ROW]
[ROW][C]0.67[/C][C]104.69234773595[/C][C]0.583206220856608[/C][/ROW]
[ROW][C]0.68[/C][C]104.790712993209[/C][C]0.599495394032746[/C][/ROW]
[ROW][C]0.69[/C][C]104.892676169711[/C][C]0.61745677532466[/C][/ROW]
[ROW][C]0.7[/C][C]104.998625800909[/C][C]0.636272866190037[/C][/ROW]
[ROW][C]0.71[/C][C]105.108901333628[/C][C]0.655519609222271[/C][/ROW]
[ROW][C]0.72[/C][C]105.223824942882[/C][C]0.674845095288592[/C][/ROW]
[ROW][C]0.73[/C][C]105.343736321643[/C][C]0.694498405967331[/C][/ROW]
[ROW][C]0.74[/C][C]105.469023326441[/C][C]0.714736197042873[/C][/ROW]
[ROW][C]0.75[/C][C]105.600140521225[/C][C]0.73635247272786[/C][/ROW]
[ROW][C]0.76[/C][C]105.73760861557[/C][C]0.759999392468166[/C][/ROW]
[ROW][C]0.77[/C][C]105.881991105277[/C][C]0.785938761170175[/C][/ROW]
[ROW][C]0.78[/C][C]106.033850272695[/C][C]0.814235560658977[/C][/ROW]
[ROW][C]0.79[/C][C]106.193692657661[/C][C]0.844248178423376[/C][/ROW]
[ROW][C]0.8[/C][C]106.361922973529[/C][C]0.874678462656601[/C][/ROW]
[ROW][C]0.81[/C][C]106.53883327014[/C][C]0.90368507924452[/C][/ROW]
[ROW][C]0.82[/C][C]106.724658468058[/C][C]0.929527575199962[/C][/ROW]
[ROW][C]0.83[/C][C]106.919727662488[/C][C]0.950874031795232[/C][/ROW]
[ROW][C]0.84[/C][C]107.124730758921[/C][C]0.967890599348152[/C][/ROW]
[ROW][C]0.85[/C][C]107.3411008889[/C][C]0.982580163497957[/C][/ROW]
[ROW][C]0.86[/C][C]107.571484312226[/C][C]0.999595056158369[/C][/ROW]
[ROW][C]0.87[/C][C]107.820230789469[/C][C]1.02618433727835[/C][/ROW]
[ROW][C]0.88[/C][C]108.093787141658[/C][C]1.07170393497736[/C][/ROW]
[ROW][C]0.89[/C][C]108.400812169356[/C][C]1.14579674204229[/C][/ROW]
[ROW][C]0.9[/C][C]108.751753108352[/C][C]1.25572734541638[/C][/ROW]
[ROW][C]0.91[/C][C]109.157550321991[/C][C]1.40306328855506[/C][/ROW]
[ROW][C]0.92[/C][C]109.627125913526[/C][C]1.58027432945684[/C][/ROW]
[ROW][C]0.93[/C][C]110.1634812099[/C][C]1.76638456115483[/C][/ROW]
[ROW][C]0.94[/C][C]110.758738536244[/C][C]1.92236631890376[/C][/ROW]
[ROW][C]0.95[/C][C]111.389414236676[/C][C]1.98938548291344[/C][/ROW]
[ROW][C]0.96[/C][C]112.014422771632[/C][C]1.89732792290704[/C][/ROW]
[ROW][C]0.97[/C][C]112.579076375489[/C][C]1.5921932641574[/C][/ROW]
[ROW][C]0.98[/C][C]113.027417642817[/C][C]1.08213729557588[/C][/ROW]
[ROW][C]0.99[/C][C]113.321481335872[/C][C]0.481014230654695[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

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

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0195.2377723178370.155188169895715
0.0295.31785380106980.285831002174337
0.0395.45225951214810.511118274023528
0.0495.65035499702940.793909688561203
0.0595.91504556171561.08358179636801
0.0696.24017164126141.32938833672822
0.0796.61075240383661.4934218453009
0.0897.00586286818051.55799652525684
0.0997.40280675258271.52612080436063
0.197.7810933457151.41637974198249
0.1198.12520022600281.2553563837953
0.1298.42576345152131.07023453169316
0.1398.67937549117240.884335675762218
0.1498.88746191270840.714311094785231
0.1599.05476135649340.569795361006947
0.1699.18783024614820.455167325015941
0.1799.29382711943810.370679666318353
0.1899.37967249195390.314561133994848
0.1999.45156632638950.284004935487236
0.299.51478474228420.275149637933796
0.2199.57366084668180.28395400044327
0.2299.63166510860860.306891180047671
0.2399.69152324955230.340226806171838
0.2499.75533353988540.381846713728324
0.2599.82466508574710.429466154972047
0.2699.90063238040120.48120283374224
0.2799.9839494814410.535149414885583
0.28100.0749709320260.589438611978947
0.29100.1737273220720.64238769379424
0.3100.2799622849880.692395172826714
0.31100.393175552980.737980532756545
0.32100.5126740361360.778139079105293
0.33100.6376302047310.812192820710548
0.34100.7671447205010.839932469419557
0.35100.90030859150.861558120844256
0.36101.0362593350610.877673907887467
0.37101.1742258200490.889192928785322
0.38101.3135575746670.897174418632506
0.39101.4537361984920.902688794210286
0.4101.5943687999510.906631126874312
0.41101.7351657191520.909647786243072
0.42101.8759068125550.912154585508273
0.43102.0164019518350.91388162270347
0.44102.156451919290.914501209930206
0.45102.2958155065610.9132477251451
0.46102.4341874342690.909450465497689
0.47102.5711899293110.902365978292881
0.48102.7063787311480.891148484673219
0.49102.8392622832150.875615688652754
0.5102.9693312018630.855651410773004
0.51103.0960940208470.831694235154092
0.52103.219114785930.804137166208566
0.53103.338048299980.773830604752236
0.54103.4526695653030.741923660679588
0.55103.5628950372420.709433284490854
0.56103.6687944678160.677550919442987
0.57103.7705931799090.647352432267447
0.58103.8686654319430.6200555559305
0.59103.9635200519550.596437385727184
0.6104.0557797627250.577264011608406
0.61104.1461556739290.563020937085189
0.62104.2354184028720.554152188426429
0.63104.3243673161680.550589729674825
0.64104.4137995335810.552257257510588
0.65104.5044806088640.558679873599723
0.66104.5971191311850.569261068512996
0.67104.692347735950.583206220856608
0.68104.7907129932090.599495394032746
0.69104.8926761697110.61745677532466
0.7104.9986258009090.636272866190037
0.71105.1089013336280.655519609222271
0.72105.2238249428820.674845095288592
0.73105.3437363216430.694498405967331
0.74105.4690233264410.714736197042873
0.75105.6001405212250.73635247272786
0.76105.737608615570.759999392468166
0.77105.8819911052770.785938761170175
0.78106.0338502726950.814235560658977
0.79106.1936926576610.844248178423376
0.8106.3619229735290.874678462656601
0.81106.538833270140.90368507924452
0.82106.7246584680580.929527575199962
0.83106.9197276624880.950874031795232
0.84107.1247307589210.967890599348152
0.85107.34110088890.982580163497957
0.86107.5714843122260.999595056158369
0.87107.8202307894691.02618433727835
0.88108.0937871416581.07170393497736
0.89108.4008121693561.14579674204229
0.9108.7517531083521.25572734541638
0.91109.1575503219911.40306328855506
0.92109.6271259135261.58027432945684
0.93110.16348120991.76638456115483
0.94110.7587385362441.92236631890376
0.95111.3894142366761.98938548291344
0.96112.0144227716321.89732792290704
0.97112.5790763754891.5921932641574
0.98113.0274176428171.08213729557588
0.99113.3214813358720.481014230654695


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')