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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 computationMon, 09 Aug 2010 16:40:08 +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/Aug/09/t1281371993x9ztorzftzsezta.htm/, Retrieved Mon, 29 Apr 2024 05:26:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78537, Retrieved Mon, 29 Apr 2024 05:26:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPlatini Olivier
Estimated Impact198

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Tijdreeks A - Sta...] [2010-08-09 12:27:20] [b220e836cf18c94d1d462a000a2d7da6]
- RMP     [Harrell-Davis Quantiles] [Tijdreeks A - Sta...] [2010-08-09 16:40:08] [49dea061148f13f4e9d1975b9f021cec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94
93
92
90
110
109
94
84
85
85
86
88
93
94
90
91
104
103
88
79
82
88
93
89
94
96
94
92
113
122
107
98
103
110
113
110
123
124
118
117
139
146
134
121
123
122
127
122
139
136
127
123
140
146
138
120
122
115
115
102
119
114
108
102
121
109
102
95
98
92
94
90
113
111
103
90
108
99
95
91
85
72
90
90
114
115
104
93
101
90
79
75
71
61
84
87
107
99
93
74
87
71
67
61
63
52
80
84
102
93
87
72
83
72
66
64
64
47
77
79

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78537&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78537&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78537&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0150.98535289614645.82302023766897
0.0256.28866277474055.12622780385413
0.0360.15889546894323.45226769526346
0.0462.59190585143482.71270925510085
0.0564.35152351215912.82027812292385
0.0665.93197181539023.14592313346655
0.0767.48664672736653.34744865225312
0.0869.00178485916663.34728219953581
0.0970.43386373130853.24900809523246
0.171.77300359971483.20298733028446
0.1173.04639849296693.27636329442431
0.1274.29141452906943.42440711263279
0.1375.52996555513593.55932928020855
0.1476.76031530478363.61870749127096
0.1577.96408650247623.58465941101859
0.1679.1180767927113.47011244038599
0.1780.2028465892843.29779516038203
0.1881.20607644851243.088624827974
0.1982.12260009689142.86034855380228
0.282.95343883105082.63184024616106
0.2183.70479132031792.42221479376376
0.2284.38679485038982.24695699202559
0.2385.01174501360922.11291080871668
0.2485.5919451647752.01639076667271
0.2586.13775628071831.94669791090264
0.2686.65639620484181.89001332740614
0.2787.1517081783641.83458622381986
0.2887.62476636280251.77263205285039
0.2988.07499262215841.70114075203724
0.388.5014294981611.62173011913705
0.3188.90386467758841.54028875637094
0.3289.2835690732431.46500059772707
0.3389.64349184110991.40448506490403
0.3489.98787624056271.36387694927763
0.3590.32141899903731.34378938404509
0.3690.648245298731.33877786238899
0.3790.97104373887451.33974815214208
0.3891.29065835195441.33735238908080
0.3991.60628128554421.32468856140382
0.491.91619322102381.30008783905174
0.4192.21883715435341.26718470738756
0.4292.5139383112151.23490180301984
0.4392.80340601417951.21547860211207
0.4493.09183901706471.2228360757758
0.4593.38655563027791.26952572973061
0.4693.69714804671581.36529401649135
0.4794.03460870260551.51359752283117
0.4894.4101113200651.71158965883831
0.4994.83357248966571.94892151375108
0.595.31217933728462.20908120888537
0.5195.8491294594792.47113839604069
0.5296.4428576731592.71224737178880
0.5397.08698681540632.91180424180512
0.5497.77112249935933.05427251261935
0.5598.48243002316773.13282567019022
0.5699.20772928919263.15096635497084
0.5799.93567968559463.12193940441821
0.58100.6585576932163.06597815925419
0.59101.3731910998333.00617352654073
0.6102.0808061553772.96269029546441
0.61102.7858275427612.94768809744914
0.62103.4939684270852.9619374107838
0.63104.2101633136722.99567819907002
0.64104.9369472523153.03327190735381
0.65105.6737370489203.05778625177478
0.66106.4171623143073.05790327160937
0.67107.1622344652893.02969749711296
0.68107.9038708312532.9776720298872
0.69108.6382225097172.91140250950457
0.7109.3634186735072.84154800557873
0.71110.0796590179932.77670371838183
0.72110.7889010912192.72173793253504
0.73111.4945324694342.67964092275595
0.74112.2012999713592.65361986428062
0.75112.9154386991122.64909756803530
0.76113.6445852743412.67263699239996
0.77114.3969083295322.72673886291238
0.78115.1791090798582.80375200861353
0.79115.9935160320012.88295011642103
0.8116.8351869353192.93268742182390
0.81117.6903781078062.91914063640564
0.82118.5376437533892.81803446720330
0.83119.3521322400812.62490139495965
0.84120.1126291863582.36114132375113
0.85120.810050238442.07437830283852
0.86121.4558102895251.83449008424202
0.87122.0887317666361.72953416493482
0.88122.7791993242891.85354356177650
0.89123.6280956175452.27289681121591
0.9124.7554043963402.98792486349261
0.91126.2714333281713.90509086778842
0.92128.2278995672574.80821917335545
0.93130.5625453708275.37495874915481
0.94133.0774213748945.30244328240211
0.95135.5088947514514.53289906607727
0.96137.7188447979463.46024653086173
0.97139.8957193222222.94970155473815
0.98142.3768321137143.30109269666446
0.99144.8140576329182.498745166327

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 50.9853528961464 & 5.82302023766897 \tabularnewline
0.02 & 56.2886627747405 & 5.12622780385413 \tabularnewline
0.03 & 60.1588954689432 & 3.45226769526346 \tabularnewline
0.04 & 62.5919058514348 & 2.71270925510085 \tabularnewline
0.05 & 64.3515235121591 & 2.82027812292385 \tabularnewline
0.06 & 65.9319718153902 & 3.14592313346655 \tabularnewline
0.07 & 67.4866467273665 & 3.34744865225312 \tabularnewline
0.08 & 69.0017848591666 & 3.34728219953581 \tabularnewline
0.09 & 70.4338637313085 & 3.24900809523246 \tabularnewline
0.1 & 71.7730035997148 & 3.20298733028446 \tabularnewline
0.11 & 73.0463984929669 & 3.27636329442431 \tabularnewline
0.12 & 74.2914145290694 & 3.42440711263279 \tabularnewline
0.13 & 75.5299655551359 & 3.55932928020855 \tabularnewline
0.14 & 76.7603153047836 & 3.61870749127096 \tabularnewline
0.15 & 77.9640865024762 & 3.58465941101859 \tabularnewline
0.16 & 79.118076792711 & 3.47011244038599 \tabularnewline
0.17 & 80.202846589284 & 3.29779516038203 \tabularnewline
0.18 & 81.2060764485124 & 3.088624827974 \tabularnewline
0.19 & 82.1226000968914 & 2.86034855380228 \tabularnewline
0.2 & 82.9534388310508 & 2.63184024616106 \tabularnewline
0.21 & 83.7047913203179 & 2.42221479376376 \tabularnewline
0.22 & 84.3867948503898 & 2.24695699202559 \tabularnewline
0.23 & 85.0117450136092 & 2.11291080871668 \tabularnewline
0.24 & 85.591945164775 & 2.01639076667271 \tabularnewline
0.25 & 86.1377562807183 & 1.94669791090264 \tabularnewline
0.26 & 86.6563962048418 & 1.89001332740614 \tabularnewline
0.27 & 87.151708178364 & 1.83458622381986 \tabularnewline
0.28 & 87.6247663628025 & 1.77263205285039 \tabularnewline
0.29 & 88.0749926221584 & 1.70114075203724 \tabularnewline
0.3 & 88.501429498161 & 1.62173011913705 \tabularnewline
0.31 & 88.9038646775884 & 1.54028875637094 \tabularnewline
0.32 & 89.283569073243 & 1.46500059772707 \tabularnewline
0.33 & 89.6434918411099 & 1.40448506490403 \tabularnewline
0.34 & 89.9878762405627 & 1.36387694927763 \tabularnewline
0.35 & 90.3214189990373 & 1.34378938404509 \tabularnewline
0.36 & 90.64824529873 & 1.33877786238899 \tabularnewline
0.37 & 90.9710437388745 & 1.33974815214208 \tabularnewline
0.38 & 91.2906583519544 & 1.33735238908080 \tabularnewline
0.39 & 91.6062812855442 & 1.32468856140382 \tabularnewline
0.4 & 91.9161932210238 & 1.30008783905174 \tabularnewline
0.41 & 92.2188371543534 & 1.26718470738756 \tabularnewline
0.42 & 92.513938311215 & 1.23490180301984 \tabularnewline
0.43 & 92.8034060141795 & 1.21547860211207 \tabularnewline
0.44 & 93.0918390170647 & 1.2228360757758 \tabularnewline
0.45 & 93.3865556302779 & 1.26952572973061 \tabularnewline
0.46 & 93.6971480467158 & 1.36529401649135 \tabularnewline
0.47 & 94.0346087026055 & 1.51359752283117 \tabularnewline
0.48 & 94.410111320065 & 1.71158965883831 \tabularnewline
0.49 & 94.8335724896657 & 1.94892151375108 \tabularnewline
0.5 & 95.3121793372846 & 2.20908120888537 \tabularnewline
0.51 & 95.849129459479 & 2.47113839604069 \tabularnewline
0.52 & 96.442857673159 & 2.71224737178880 \tabularnewline
0.53 & 97.0869868154063 & 2.91180424180512 \tabularnewline
0.54 & 97.7711224993593 & 3.05427251261935 \tabularnewline
0.55 & 98.4824300231677 & 3.13282567019022 \tabularnewline
0.56 & 99.2077292891926 & 3.15096635497084 \tabularnewline
0.57 & 99.9356796855946 & 3.12193940441821 \tabularnewline
0.58 & 100.658557693216 & 3.06597815925419 \tabularnewline
0.59 & 101.373191099833 & 3.00617352654073 \tabularnewline
0.6 & 102.080806155377 & 2.96269029546441 \tabularnewline
0.61 & 102.785827542761 & 2.94768809744914 \tabularnewline
0.62 & 103.493968427085 & 2.9619374107838 \tabularnewline
0.63 & 104.210163313672 & 2.99567819907002 \tabularnewline
0.64 & 104.936947252315 & 3.03327190735381 \tabularnewline
0.65 & 105.673737048920 & 3.05778625177478 \tabularnewline
0.66 & 106.417162314307 & 3.05790327160937 \tabularnewline
0.67 & 107.162234465289 & 3.02969749711296 \tabularnewline
0.68 & 107.903870831253 & 2.9776720298872 \tabularnewline
0.69 & 108.638222509717 & 2.91140250950457 \tabularnewline
0.7 & 109.363418673507 & 2.84154800557873 \tabularnewline
0.71 & 110.079659017993 & 2.77670371838183 \tabularnewline
0.72 & 110.788901091219 & 2.72173793253504 \tabularnewline
0.73 & 111.494532469434 & 2.67964092275595 \tabularnewline
0.74 & 112.201299971359 & 2.65361986428062 \tabularnewline
0.75 & 112.915438699112 & 2.64909756803530 \tabularnewline
0.76 & 113.644585274341 & 2.67263699239996 \tabularnewline
0.77 & 114.396908329532 & 2.72673886291238 \tabularnewline
0.78 & 115.179109079858 & 2.80375200861353 \tabularnewline
0.79 & 115.993516032001 & 2.88295011642103 \tabularnewline
0.8 & 116.835186935319 & 2.93268742182390 \tabularnewline
0.81 & 117.690378107806 & 2.91914063640564 \tabularnewline
0.82 & 118.537643753389 & 2.81803446720330 \tabularnewline
0.83 & 119.352132240081 & 2.62490139495965 \tabularnewline
0.84 & 120.112629186358 & 2.36114132375113 \tabularnewline
0.85 & 120.81005023844 & 2.07437830283852 \tabularnewline
0.86 & 121.455810289525 & 1.83449008424202 \tabularnewline
0.87 & 122.088731766636 & 1.72953416493482 \tabularnewline
0.88 & 122.779199324289 & 1.85354356177650 \tabularnewline
0.89 & 123.628095617545 & 2.27289681121591 \tabularnewline
0.9 & 124.755404396340 & 2.98792486349261 \tabularnewline
0.91 & 126.271433328171 & 3.90509086778842 \tabularnewline
0.92 & 128.227899567257 & 4.80821917335545 \tabularnewline
0.93 & 130.562545370827 & 5.37495874915481 \tabularnewline
0.94 & 133.077421374894 & 5.30244328240211 \tabularnewline
0.95 & 135.508894751451 & 4.53289906607727 \tabularnewline
0.96 & 137.718844797946 & 3.46024653086173 \tabularnewline
0.97 & 139.895719322222 & 2.94970155473815 \tabularnewline
0.98 & 142.376832113714 & 3.30109269666446 \tabularnewline
0.99 & 144.814057632918 & 2.498745166327 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78537&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]50.9853528961464[/C][C]5.82302023766897[/C][/ROW]
[ROW][C]0.02[/C][C]56.2886627747405[/C][C]5.12622780385413[/C][/ROW]
[ROW][C]0.03[/C][C]60.1588954689432[/C][C]3.45226769526346[/C][/ROW]
[ROW][C]0.04[/C][C]62.5919058514348[/C][C]2.71270925510085[/C][/ROW]
[ROW][C]0.05[/C][C]64.3515235121591[/C][C]2.82027812292385[/C][/ROW]
[ROW][C]0.06[/C][C]65.9319718153902[/C][C]3.14592313346655[/C][/ROW]
[ROW][C]0.07[/C][C]67.4866467273665[/C][C]3.34744865225312[/C][/ROW]
[ROW][C]0.08[/C][C]69.0017848591666[/C][C]3.34728219953581[/C][/ROW]
[ROW][C]0.09[/C][C]70.4338637313085[/C][C]3.24900809523246[/C][/ROW]
[ROW][C]0.1[/C][C]71.7730035997148[/C][C]3.20298733028446[/C][/ROW]
[ROW][C]0.11[/C][C]73.0463984929669[/C][C]3.27636329442431[/C][/ROW]
[ROW][C]0.12[/C][C]74.2914145290694[/C][C]3.42440711263279[/C][/ROW]
[ROW][C]0.13[/C][C]75.5299655551359[/C][C]3.55932928020855[/C][/ROW]
[ROW][C]0.14[/C][C]76.7603153047836[/C][C]3.61870749127096[/C][/ROW]
[ROW][C]0.15[/C][C]77.9640865024762[/C][C]3.58465941101859[/C][/ROW]
[ROW][C]0.16[/C][C]79.118076792711[/C][C]3.47011244038599[/C][/ROW]
[ROW][C]0.17[/C][C]80.202846589284[/C][C]3.29779516038203[/C][/ROW]
[ROW][C]0.18[/C][C]81.2060764485124[/C][C]3.088624827974[/C][/ROW]
[ROW][C]0.19[/C][C]82.1226000968914[/C][C]2.86034855380228[/C][/ROW]
[ROW][C]0.2[/C][C]82.9534388310508[/C][C]2.63184024616106[/C][/ROW]
[ROW][C]0.21[/C][C]83.7047913203179[/C][C]2.42221479376376[/C][/ROW]
[ROW][C]0.22[/C][C]84.3867948503898[/C][C]2.24695699202559[/C][/ROW]
[ROW][C]0.23[/C][C]85.0117450136092[/C][C]2.11291080871668[/C][/ROW]
[ROW][C]0.24[/C][C]85.591945164775[/C][C]2.01639076667271[/C][/ROW]
[ROW][C]0.25[/C][C]86.1377562807183[/C][C]1.94669791090264[/C][/ROW]
[ROW][C]0.26[/C][C]86.6563962048418[/C][C]1.89001332740614[/C][/ROW]
[ROW][C]0.27[/C][C]87.151708178364[/C][C]1.83458622381986[/C][/ROW]
[ROW][C]0.28[/C][C]87.6247663628025[/C][C]1.77263205285039[/C][/ROW]
[ROW][C]0.29[/C][C]88.0749926221584[/C][C]1.70114075203724[/C][/ROW]
[ROW][C]0.3[/C][C]88.501429498161[/C][C]1.62173011913705[/C][/ROW]
[ROW][C]0.31[/C][C]88.9038646775884[/C][C]1.54028875637094[/C][/ROW]
[ROW][C]0.32[/C][C]89.283569073243[/C][C]1.46500059772707[/C][/ROW]
[ROW][C]0.33[/C][C]89.6434918411099[/C][C]1.40448506490403[/C][/ROW]
[ROW][C]0.34[/C][C]89.9878762405627[/C][C]1.36387694927763[/C][/ROW]
[ROW][C]0.35[/C][C]90.3214189990373[/C][C]1.34378938404509[/C][/ROW]
[ROW][C]0.36[/C][C]90.64824529873[/C][C]1.33877786238899[/C][/ROW]
[ROW][C]0.37[/C][C]90.9710437388745[/C][C]1.33974815214208[/C][/ROW]
[ROW][C]0.38[/C][C]91.2906583519544[/C][C]1.33735238908080[/C][/ROW]
[ROW][C]0.39[/C][C]91.6062812855442[/C][C]1.32468856140382[/C][/ROW]
[ROW][C]0.4[/C][C]91.9161932210238[/C][C]1.30008783905174[/C][/ROW]
[ROW][C]0.41[/C][C]92.2188371543534[/C][C]1.26718470738756[/C][/ROW]
[ROW][C]0.42[/C][C]92.513938311215[/C][C]1.23490180301984[/C][/ROW]
[ROW][C]0.43[/C][C]92.8034060141795[/C][C]1.21547860211207[/C][/ROW]
[ROW][C]0.44[/C][C]93.0918390170647[/C][C]1.2228360757758[/C][/ROW]
[ROW][C]0.45[/C][C]93.3865556302779[/C][C]1.26952572973061[/C][/ROW]
[ROW][C]0.46[/C][C]93.6971480467158[/C][C]1.36529401649135[/C][/ROW]
[ROW][C]0.47[/C][C]94.0346087026055[/C][C]1.51359752283117[/C][/ROW]
[ROW][C]0.48[/C][C]94.410111320065[/C][C]1.71158965883831[/C][/ROW]
[ROW][C]0.49[/C][C]94.8335724896657[/C][C]1.94892151375108[/C][/ROW]
[ROW][C]0.5[/C][C]95.3121793372846[/C][C]2.20908120888537[/C][/ROW]
[ROW][C]0.51[/C][C]95.849129459479[/C][C]2.47113839604069[/C][/ROW]
[ROW][C]0.52[/C][C]96.442857673159[/C][C]2.71224737178880[/C][/ROW]
[ROW][C]0.53[/C][C]97.0869868154063[/C][C]2.91180424180512[/C][/ROW]
[ROW][C]0.54[/C][C]97.7711224993593[/C][C]3.05427251261935[/C][/ROW]
[ROW][C]0.55[/C][C]98.4824300231677[/C][C]3.13282567019022[/C][/ROW]
[ROW][C]0.56[/C][C]99.2077292891926[/C][C]3.15096635497084[/C][/ROW]
[ROW][C]0.57[/C][C]99.9356796855946[/C][C]3.12193940441821[/C][/ROW]
[ROW][C]0.58[/C][C]100.658557693216[/C][C]3.06597815925419[/C][/ROW]
[ROW][C]0.59[/C][C]101.373191099833[/C][C]3.00617352654073[/C][/ROW]
[ROW][C]0.6[/C][C]102.080806155377[/C][C]2.96269029546441[/C][/ROW]
[ROW][C]0.61[/C][C]102.785827542761[/C][C]2.94768809744914[/C][/ROW]
[ROW][C]0.62[/C][C]103.493968427085[/C][C]2.9619374107838[/C][/ROW]
[ROW][C]0.63[/C][C]104.210163313672[/C][C]2.99567819907002[/C][/ROW]
[ROW][C]0.64[/C][C]104.936947252315[/C][C]3.03327190735381[/C][/ROW]
[ROW][C]0.65[/C][C]105.673737048920[/C][C]3.05778625177478[/C][/ROW]
[ROW][C]0.66[/C][C]106.417162314307[/C][C]3.05790327160937[/C][/ROW]
[ROW][C]0.67[/C][C]107.162234465289[/C][C]3.02969749711296[/C][/ROW]
[ROW][C]0.68[/C][C]107.903870831253[/C][C]2.9776720298872[/C][/ROW]
[ROW][C]0.69[/C][C]108.638222509717[/C][C]2.91140250950457[/C][/ROW]
[ROW][C]0.7[/C][C]109.363418673507[/C][C]2.84154800557873[/C][/ROW]
[ROW][C]0.71[/C][C]110.079659017993[/C][C]2.77670371838183[/C][/ROW]
[ROW][C]0.72[/C][C]110.788901091219[/C][C]2.72173793253504[/C][/ROW]
[ROW][C]0.73[/C][C]111.494532469434[/C][C]2.67964092275595[/C][/ROW]
[ROW][C]0.74[/C][C]112.201299971359[/C][C]2.65361986428062[/C][/ROW]
[ROW][C]0.75[/C][C]112.915438699112[/C][C]2.64909756803530[/C][/ROW]
[ROW][C]0.76[/C][C]113.644585274341[/C][C]2.67263699239996[/C][/ROW]
[ROW][C]0.77[/C][C]114.396908329532[/C][C]2.72673886291238[/C][/ROW]
[ROW][C]0.78[/C][C]115.179109079858[/C][C]2.80375200861353[/C][/ROW]
[ROW][C]0.79[/C][C]115.993516032001[/C][C]2.88295011642103[/C][/ROW]
[ROW][C]0.8[/C][C]116.835186935319[/C][C]2.93268742182390[/C][/ROW]
[ROW][C]0.81[/C][C]117.690378107806[/C][C]2.91914063640564[/C][/ROW]
[ROW][C]0.82[/C][C]118.537643753389[/C][C]2.81803446720330[/C][/ROW]
[ROW][C]0.83[/C][C]119.352132240081[/C][C]2.62490139495965[/C][/ROW]
[ROW][C]0.84[/C][C]120.112629186358[/C][C]2.36114132375113[/C][/ROW]
[ROW][C]0.85[/C][C]120.81005023844[/C][C]2.07437830283852[/C][/ROW]
[ROW][C]0.86[/C][C]121.455810289525[/C][C]1.83449008424202[/C][/ROW]
[ROW][C]0.87[/C][C]122.088731766636[/C][C]1.72953416493482[/C][/ROW]
[ROW][C]0.88[/C][C]122.779199324289[/C][C]1.85354356177650[/C][/ROW]
[ROW][C]0.89[/C][C]123.628095617545[/C][C]2.27289681121591[/C][/ROW]
[ROW][C]0.9[/C][C]124.755404396340[/C][C]2.98792486349261[/C][/ROW]
[ROW][C]0.91[/C][C]126.271433328171[/C][C]3.90509086778842[/C][/ROW]
[ROW][C]0.92[/C][C]128.227899567257[/C][C]4.80821917335545[/C][/ROW]
[ROW][C]0.93[/C][C]130.562545370827[/C][C]5.37495874915481[/C][/ROW]
[ROW][C]0.94[/C][C]133.077421374894[/C][C]5.30244328240211[/C][/ROW]
[ROW][C]0.95[/C][C]135.508894751451[/C][C]4.53289906607727[/C][/ROW]
[ROW][C]0.96[/C][C]137.718844797946[/C][C]3.46024653086173[/C][/ROW]
[ROW][C]0.97[/C][C]139.895719322222[/C][C]2.94970155473815[/C][/ROW]
[ROW][C]0.98[/C][C]142.376832113714[/C][C]3.30109269666446[/C][/ROW]
[ROW][C]0.99[/C][C]144.814057632918[/C][C]2.498745166327[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78537&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78537&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
0.0150.98535289614645.82302023766897
0.0256.28866277474055.12622780385413
0.0360.15889546894323.45226769526346
0.0462.59190585143482.71270925510085
0.0564.35152351215912.82027812292385
0.0665.93197181539023.14592313346655
0.0767.48664672736653.34744865225312
0.0869.00178485916663.34728219953581
0.0970.43386373130853.24900809523246
0.171.77300359971483.20298733028446
0.1173.04639849296693.27636329442431
0.1274.29141452906943.42440711263279
0.1375.52996555513593.55932928020855
0.1476.76031530478363.61870749127096
0.1577.96408650247623.58465941101859
0.1679.1180767927113.47011244038599
0.1780.2028465892843.29779516038203
0.1881.20607644851243.088624827974
0.1982.12260009689142.86034855380228
0.282.95343883105082.63184024616106
0.2183.70479132031792.42221479376376
0.2284.38679485038982.24695699202559
0.2385.01174501360922.11291080871668
0.2485.5919451647752.01639076667271
0.2586.13775628071831.94669791090264
0.2686.65639620484181.89001332740614
0.2787.1517081783641.83458622381986
0.2887.62476636280251.77263205285039
0.2988.07499262215841.70114075203724
0.388.5014294981611.62173011913705
0.3188.90386467758841.54028875637094
0.3289.2835690732431.46500059772707
0.3389.64349184110991.40448506490403
0.3489.98787624056271.36387694927763
0.3590.32141899903731.34378938404509
0.3690.648245298731.33877786238899
0.3790.97104373887451.33974815214208
0.3891.29065835195441.33735238908080
0.3991.60628128554421.32468856140382
0.491.91619322102381.30008783905174
0.4192.21883715435341.26718470738756
0.4292.5139383112151.23490180301984
0.4392.80340601417951.21547860211207
0.4493.09183901706471.2228360757758
0.4593.38655563027791.26952572973061
0.4693.69714804671581.36529401649135
0.4794.03460870260551.51359752283117
0.4894.4101113200651.71158965883831
0.4994.83357248966571.94892151375108
0.595.31217933728462.20908120888537
0.5195.8491294594792.47113839604069
0.5296.4428576731592.71224737178880
0.5397.08698681540632.91180424180512
0.5497.77112249935933.05427251261935
0.5598.48243002316773.13282567019022
0.5699.20772928919263.15096635497084
0.5799.93567968559463.12193940441821
0.58100.6585576932163.06597815925419
0.59101.3731910998333.00617352654073
0.6102.0808061553772.96269029546441
0.61102.7858275427612.94768809744914
0.62103.4939684270852.9619374107838
0.63104.2101633136722.99567819907002
0.64104.9369472523153.03327190735381
0.65105.6737370489203.05778625177478
0.66106.4171623143073.05790327160937
0.67107.1622344652893.02969749711296
0.68107.9038708312532.9776720298872
0.69108.6382225097172.91140250950457
0.7109.3634186735072.84154800557873
0.71110.0796590179932.77670371838183
0.72110.7889010912192.72173793253504
0.73111.4945324694342.67964092275595
0.74112.2012999713592.65361986428062
0.75112.9154386991122.64909756803530
0.76113.6445852743412.67263699239996
0.77114.3969083295322.72673886291238
0.78115.1791090798582.80375200861353
0.79115.9935160320012.88295011642103
0.8116.8351869353192.93268742182390
0.81117.6903781078062.91914063640564
0.82118.5376437533892.81803446720330
0.83119.3521322400812.62490139495965
0.84120.1126291863582.36114132375113
0.85120.810050238442.07437830283852
0.86121.4558102895251.83449008424202
0.87122.0887317666361.72953416493482
0.88122.7791993242891.85354356177650
0.89123.6280956175452.27289681121591
0.9124.7554043963402.98792486349261
0.91126.2714333281713.90509086778842
0.92128.2278995672574.80821917335545
0.93130.5625453708275.37495874915481
0.94133.0774213748945.30244328240211
0.95135.5088947514514.53289906607727
0.96137.7188447979463.46024653086173
0.97139.8957193222222.94970155473815
0.98142.3768321137143.30109269666446
0.99144.8140576329182.498745166327


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')