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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, 12 Oct 2010 12:54:25 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/12/t12868880083lhrj684ag8or2s.htm/, Retrieved Tue, 30 Apr 2024 18:40:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82905, Retrieved Tue, 30 Apr 2024 18:40:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact107

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] [detailhandelverko...] [2010-10-12 12:54:25] [d83d17ce80f1d5ae1d2c83db1cba10f4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
75.9
76.9
77.9
78.9
79.9
80.9
81.9
82.9
83.9
84.9
85.9
86.9
87.9
88.9
89.9
90.9
91.9
92.9
93.9
94.9
95.9
96.9
97.9
98.9
99.9
100.9
101.9
102.9
103.9
104.9
105.9
106.9
107.9
108.9
109.9
110.9
111.9
112.9
113.9
114.9
115.9
116.9
117.9
118.9
119.9
120.9
121.9
122.9
123.9
124.9
125.9
126.9
127.9
128.9
129.9
130.9
131.9
132.9
133.9
134.9
135.9
136.9
137.9
138.9
139.9
140.9
141.9
142.9
143.9
144.9
145.9
146.9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82905&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=82905&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82905&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
0.0176.26551096278671.01309572273948
0.0276.86490736625011.14018335465458
0.0377.56005591225951.32435519645407
0.0478.2787151981191.50672251561879
0.0578.99967648224321.67172615525311
0.0679.71999597820951.82112132660119
0.0780.44001856447811.95788917570551
0.0881.16000481971482.08412311022466
0.0981.88000006315752.2014223659743
0.182.59999972947292.31086486844253
0.1183.31999993177632.41341663247940
0.1284.0399999995282.50995329074092
0.1384.7600000037682.60078973550543
0.1485.48000000089322.68668460116547
0.1586.19999999999552.76786808661185
0.1686.91999999995062.84478998138244
0.1787.63999999998932.91766480677272
0.1888.36000000000032.98689132975762
0.1989.08000000000063.05257660979511
0.289.80000000000023.11512554802372
0.2190.523.17436302225584
0.2291.243.23075171119356
0.2391.963.28431008602013
0.2492.683.33519074083367
0.2593.43.38353819580761
0.2694.123.42926258975518
0.2794.843.47274274173254
0.2895.563.51376414766249
0.2996.283.55269123116594
0.3973.58933300594896
0.3197.723.62391890275915
0.3298.443.65644244633991
0.3399.163.686800238899
0.3499.883.71563348466567
0.35100.63.74223476277595
0.36101.323.76696483738444
0.37102.043.79001433614374
0.38102.763.81105620848133
0.39103.483.83027557450669
0.4104.23.84803526126843
0.41104.923.86389176250908
0.42105.643.87795737357667
0.43106.363.89036226688665
0.44107.083.90110490470621
0.45107.83.91009872072716
0.46108.523.91754072026249
0.47109.243.92332909071489
0.48109.963.92737194931607
0.49110.683.92983751104965
0.5111.43.93069072509601
0.51112.123.92989453353642
0.52112.843.92744495293295
0.53113.563.92332858060545
0.54114.283.91757307824264
0.551153.91014221459627
0.56115.723.90117593986987
0.57116.443.89039438870337
0.58117.163.87791487459945
0.59117.883.86379258850906
0.6118.63.84796752849409
0.61119.323.83041839433630
0.62120.043.81108598425003
0.63120.763.78999857720558
0.64121.483.76699423981067
0.65122.23.74218132864751
0.66122.923.71557013352033
0.67123.643.68694397071049
0.68124.363.65647148549815
0.69125.083.62392947161988
0.7125.83.58925024337363
0.71126.523.55257704282382
0.72127.243.51373877302799
0.73127.963.47269328094531
0.74128.683.42926532839135
0.75129.43.38345403141673
0.76130.123.33516645431945
0.77130.843.28431339643697
0.78131.563.23074701124035
0.79132.283.17437967346584
0.81333.11513832191891
0.81133.7199999999993.05268096945474
0.82134.4400000000002.98686593386107
0.83135.1600000000112.91771174813024
0.84135.8800000000492.84479196243665
0.85136.6000000000052.76788630564497
0.86137.3199999991072.6866480092158
0.87138.0399999962322.60075256537634
0.88138.7600000004722.50986942404607
0.89139.4800000682242.41349099592267
0.9140.2000002705272.3108655245249
0.91140.9199999368432.20141028217740
0.92141.6399951802852.08409669804835
0.93142.3599814355221.95788007731222
0.94143.0800040217911.82113638011646
0.95143.8003235177571.67175100860967
0.96144.5212848018811.50667448343829
0.97145.2399440877401.32438779179525
0.98145.935092633751.14016709422061
0.99146.5344890372131.01309592541347

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 76.2655109627867 & 1.01309572273948 \tabularnewline
0.02 & 76.8649073662501 & 1.14018335465458 \tabularnewline
0.03 & 77.5600559122595 & 1.32435519645407 \tabularnewline
0.04 & 78.278715198119 & 1.50672251561879 \tabularnewline
0.05 & 78.9996764822432 & 1.67172615525311 \tabularnewline
0.06 & 79.7199959782095 & 1.82112132660119 \tabularnewline
0.07 & 80.4400185644781 & 1.95788917570551 \tabularnewline
0.08 & 81.1600048197148 & 2.08412311022466 \tabularnewline
0.09 & 81.8800000631575 & 2.2014223659743 \tabularnewline
0.1 & 82.5999997294729 & 2.31086486844253 \tabularnewline
0.11 & 83.3199999317763 & 2.41341663247940 \tabularnewline
0.12 & 84.039999999528 & 2.50995329074092 \tabularnewline
0.13 & 84.760000003768 & 2.60078973550543 \tabularnewline
0.14 & 85.4800000008932 & 2.68668460116547 \tabularnewline
0.15 & 86.1999999999955 & 2.76786808661185 \tabularnewline
0.16 & 86.9199999999506 & 2.84478998138244 \tabularnewline
0.17 & 87.6399999999893 & 2.91766480677272 \tabularnewline
0.18 & 88.3600000000003 & 2.98689132975762 \tabularnewline
0.19 & 89.0800000000006 & 3.05257660979511 \tabularnewline
0.2 & 89.8000000000002 & 3.11512554802372 \tabularnewline
0.21 & 90.52 & 3.17436302225584 \tabularnewline
0.22 & 91.24 & 3.23075171119356 \tabularnewline
0.23 & 91.96 & 3.28431008602013 \tabularnewline
0.24 & 92.68 & 3.33519074083367 \tabularnewline
0.25 & 93.4 & 3.38353819580761 \tabularnewline
0.26 & 94.12 & 3.42926258975518 \tabularnewline
0.27 & 94.84 & 3.47274274173254 \tabularnewline
0.28 & 95.56 & 3.51376414766249 \tabularnewline
0.29 & 96.28 & 3.55269123116594 \tabularnewline
0.3 & 97 & 3.58933300594896 \tabularnewline
0.31 & 97.72 & 3.62391890275915 \tabularnewline
0.32 & 98.44 & 3.65644244633991 \tabularnewline
0.33 & 99.16 & 3.686800238899 \tabularnewline
0.34 & 99.88 & 3.71563348466567 \tabularnewline
0.35 & 100.6 & 3.74223476277595 \tabularnewline
0.36 & 101.32 & 3.76696483738444 \tabularnewline
0.37 & 102.04 & 3.79001433614374 \tabularnewline
0.38 & 102.76 & 3.81105620848133 \tabularnewline
0.39 & 103.48 & 3.83027557450669 \tabularnewline
0.4 & 104.2 & 3.84803526126843 \tabularnewline
0.41 & 104.92 & 3.86389176250908 \tabularnewline
0.42 & 105.64 & 3.87795737357667 \tabularnewline
0.43 & 106.36 & 3.89036226688665 \tabularnewline
0.44 & 107.08 & 3.90110490470621 \tabularnewline
0.45 & 107.8 & 3.91009872072716 \tabularnewline
0.46 & 108.52 & 3.91754072026249 \tabularnewline
0.47 & 109.24 & 3.92332909071489 \tabularnewline
0.48 & 109.96 & 3.92737194931607 \tabularnewline
0.49 & 110.68 & 3.92983751104965 \tabularnewline
0.5 & 111.4 & 3.93069072509601 \tabularnewline
0.51 & 112.12 & 3.92989453353642 \tabularnewline
0.52 & 112.84 & 3.92744495293295 \tabularnewline
0.53 & 113.56 & 3.92332858060545 \tabularnewline
0.54 & 114.28 & 3.91757307824264 \tabularnewline
0.55 & 115 & 3.91014221459627 \tabularnewline
0.56 & 115.72 & 3.90117593986987 \tabularnewline
0.57 & 116.44 & 3.89039438870337 \tabularnewline
0.58 & 117.16 & 3.87791487459945 \tabularnewline
0.59 & 117.88 & 3.86379258850906 \tabularnewline
0.6 & 118.6 & 3.84796752849409 \tabularnewline
0.61 & 119.32 & 3.83041839433630 \tabularnewline
0.62 & 120.04 & 3.81108598425003 \tabularnewline
0.63 & 120.76 & 3.78999857720558 \tabularnewline
0.64 & 121.48 & 3.76699423981067 \tabularnewline
0.65 & 122.2 & 3.74218132864751 \tabularnewline
0.66 & 122.92 & 3.71557013352033 \tabularnewline
0.67 & 123.64 & 3.68694397071049 \tabularnewline
0.68 & 124.36 & 3.65647148549815 \tabularnewline
0.69 & 125.08 & 3.62392947161988 \tabularnewline
0.7 & 125.8 & 3.58925024337363 \tabularnewline
0.71 & 126.52 & 3.55257704282382 \tabularnewline
0.72 & 127.24 & 3.51373877302799 \tabularnewline
0.73 & 127.96 & 3.47269328094531 \tabularnewline
0.74 & 128.68 & 3.42926532839135 \tabularnewline
0.75 & 129.4 & 3.38345403141673 \tabularnewline
0.76 & 130.12 & 3.33516645431945 \tabularnewline
0.77 & 130.84 & 3.28431339643697 \tabularnewline
0.78 & 131.56 & 3.23074701124035 \tabularnewline
0.79 & 132.28 & 3.17437967346584 \tabularnewline
0.8 & 133 & 3.11513832191891 \tabularnewline
0.81 & 133.719999999999 & 3.05268096945474 \tabularnewline
0.82 & 134.440000000000 & 2.98686593386107 \tabularnewline
0.83 & 135.160000000011 & 2.91771174813024 \tabularnewline
0.84 & 135.880000000049 & 2.84479196243665 \tabularnewline
0.85 & 136.600000000005 & 2.76788630564497 \tabularnewline
0.86 & 137.319999999107 & 2.6866480092158 \tabularnewline
0.87 & 138.039999996232 & 2.60075256537634 \tabularnewline
0.88 & 138.760000000472 & 2.50986942404607 \tabularnewline
0.89 & 139.480000068224 & 2.41349099592267 \tabularnewline
0.9 & 140.200000270527 & 2.3108655245249 \tabularnewline
0.91 & 140.919999936843 & 2.20141028217740 \tabularnewline
0.92 & 141.639995180285 & 2.08409669804835 \tabularnewline
0.93 & 142.359981435522 & 1.95788007731222 \tabularnewline
0.94 & 143.080004021791 & 1.82113638011646 \tabularnewline
0.95 & 143.800323517757 & 1.67175100860967 \tabularnewline
0.96 & 144.521284801881 & 1.50667448343829 \tabularnewline
0.97 & 145.239944087740 & 1.32438779179525 \tabularnewline
0.98 & 145.93509263375 & 1.14016709422061 \tabularnewline
0.99 & 146.534489037213 & 1.01309592541347 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82905&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]76.2655109627867[/C][C]1.01309572273948[/C][/ROW]
[ROW][C]0.02[/C][C]76.8649073662501[/C][C]1.14018335465458[/C][/ROW]
[ROW][C]0.03[/C][C]77.5600559122595[/C][C]1.32435519645407[/C][/ROW]
[ROW][C]0.04[/C][C]78.278715198119[/C][C]1.50672251561879[/C][/ROW]
[ROW][C]0.05[/C][C]78.9996764822432[/C][C]1.67172615525311[/C][/ROW]
[ROW][C]0.06[/C][C]79.7199959782095[/C][C]1.82112132660119[/C][/ROW]
[ROW][C]0.07[/C][C]80.4400185644781[/C][C]1.95788917570551[/C][/ROW]
[ROW][C]0.08[/C][C]81.1600048197148[/C][C]2.08412311022466[/C][/ROW]
[ROW][C]0.09[/C][C]81.8800000631575[/C][C]2.2014223659743[/C][/ROW]
[ROW][C]0.1[/C][C]82.5999997294729[/C][C]2.31086486844253[/C][/ROW]
[ROW][C]0.11[/C][C]83.3199999317763[/C][C]2.41341663247940[/C][/ROW]
[ROW][C]0.12[/C][C]84.039999999528[/C][C]2.50995329074092[/C][/ROW]
[ROW][C]0.13[/C][C]84.760000003768[/C][C]2.60078973550543[/C][/ROW]
[ROW][C]0.14[/C][C]85.4800000008932[/C][C]2.68668460116547[/C][/ROW]
[ROW][C]0.15[/C][C]86.1999999999955[/C][C]2.76786808661185[/C][/ROW]
[ROW][C]0.16[/C][C]86.9199999999506[/C][C]2.84478998138244[/C][/ROW]
[ROW][C]0.17[/C][C]87.6399999999893[/C][C]2.91766480677272[/C][/ROW]
[ROW][C]0.18[/C][C]88.3600000000003[/C][C]2.98689132975762[/C][/ROW]
[ROW][C]0.19[/C][C]89.0800000000006[/C][C]3.05257660979511[/C][/ROW]
[ROW][C]0.2[/C][C]89.8000000000002[/C][C]3.11512554802372[/C][/ROW]
[ROW][C]0.21[/C][C]90.52[/C][C]3.17436302225584[/C][/ROW]
[ROW][C]0.22[/C][C]91.24[/C][C]3.23075171119356[/C][/ROW]
[ROW][C]0.23[/C][C]91.96[/C][C]3.28431008602013[/C][/ROW]
[ROW][C]0.24[/C][C]92.68[/C][C]3.33519074083367[/C][/ROW]
[ROW][C]0.25[/C][C]93.4[/C][C]3.38353819580761[/C][/ROW]
[ROW][C]0.26[/C][C]94.12[/C][C]3.42926258975518[/C][/ROW]
[ROW][C]0.27[/C][C]94.84[/C][C]3.47274274173254[/C][/ROW]
[ROW][C]0.28[/C][C]95.56[/C][C]3.51376414766249[/C][/ROW]
[ROW][C]0.29[/C][C]96.28[/C][C]3.55269123116594[/C][/ROW]
[ROW][C]0.3[/C][C]97[/C][C]3.58933300594896[/C][/ROW]
[ROW][C]0.31[/C][C]97.72[/C][C]3.62391890275915[/C][/ROW]
[ROW][C]0.32[/C][C]98.44[/C][C]3.65644244633991[/C][/ROW]
[ROW][C]0.33[/C][C]99.16[/C][C]3.686800238899[/C][/ROW]
[ROW][C]0.34[/C][C]99.88[/C][C]3.71563348466567[/C][/ROW]
[ROW][C]0.35[/C][C]100.6[/C][C]3.74223476277595[/C][/ROW]
[ROW][C]0.36[/C][C]101.32[/C][C]3.76696483738444[/C][/ROW]
[ROW][C]0.37[/C][C]102.04[/C][C]3.79001433614374[/C][/ROW]
[ROW][C]0.38[/C][C]102.76[/C][C]3.81105620848133[/C][/ROW]
[ROW][C]0.39[/C][C]103.48[/C][C]3.83027557450669[/C][/ROW]
[ROW][C]0.4[/C][C]104.2[/C][C]3.84803526126843[/C][/ROW]
[ROW][C]0.41[/C][C]104.92[/C][C]3.86389176250908[/C][/ROW]
[ROW][C]0.42[/C][C]105.64[/C][C]3.87795737357667[/C][/ROW]
[ROW][C]0.43[/C][C]106.36[/C][C]3.89036226688665[/C][/ROW]
[ROW][C]0.44[/C][C]107.08[/C][C]3.90110490470621[/C][/ROW]
[ROW][C]0.45[/C][C]107.8[/C][C]3.91009872072716[/C][/ROW]
[ROW][C]0.46[/C][C]108.52[/C][C]3.91754072026249[/C][/ROW]
[ROW][C]0.47[/C][C]109.24[/C][C]3.92332909071489[/C][/ROW]
[ROW][C]0.48[/C][C]109.96[/C][C]3.92737194931607[/C][/ROW]
[ROW][C]0.49[/C][C]110.68[/C][C]3.92983751104965[/C][/ROW]
[ROW][C]0.5[/C][C]111.4[/C][C]3.93069072509601[/C][/ROW]
[ROW][C]0.51[/C][C]112.12[/C][C]3.92989453353642[/C][/ROW]
[ROW][C]0.52[/C][C]112.84[/C][C]3.92744495293295[/C][/ROW]
[ROW][C]0.53[/C][C]113.56[/C][C]3.92332858060545[/C][/ROW]
[ROW][C]0.54[/C][C]114.28[/C][C]3.91757307824264[/C][/ROW]
[ROW][C]0.55[/C][C]115[/C][C]3.91014221459627[/C][/ROW]
[ROW][C]0.56[/C][C]115.72[/C][C]3.90117593986987[/C][/ROW]
[ROW][C]0.57[/C][C]116.44[/C][C]3.89039438870337[/C][/ROW]
[ROW][C]0.58[/C][C]117.16[/C][C]3.87791487459945[/C][/ROW]
[ROW][C]0.59[/C][C]117.88[/C][C]3.86379258850906[/C][/ROW]
[ROW][C]0.6[/C][C]118.6[/C][C]3.84796752849409[/C][/ROW]
[ROW][C]0.61[/C][C]119.32[/C][C]3.83041839433630[/C][/ROW]
[ROW][C]0.62[/C][C]120.04[/C][C]3.81108598425003[/C][/ROW]
[ROW][C]0.63[/C][C]120.76[/C][C]3.78999857720558[/C][/ROW]
[ROW][C]0.64[/C][C]121.48[/C][C]3.76699423981067[/C][/ROW]
[ROW][C]0.65[/C][C]122.2[/C][C]3.74218132864751[/C][/ROW]
[ROW][C]0.66[/C][C]122.92[/C][C]3.71557013352033[/C][/ROW]
[ROW][C]0.67[/C][C]123.64[/C][C]3.68694397071049[/C][/ROW]
[ROW][C]0.68[/C][C]124.36[/C][C]3.65647148549815[/C][/ROW]
[ROW][C]0.69[/C][C]125.08[/C][C]3.62392947161988[/C][/ROW]
[ROW][C]0.7[/C][C]125.8[/C][C]3.58925024337363[/C][/ROW]
[ROW][C]0.71[/C][C]126.52[/C][C]3.55257704282382[/C][/ROW]
[ROW][C]0.72[/C][C]127.24[/C][C]3.51373877302799[/C][/ROW]
[ROW][C]0.73[/C][C]127.96[/C][C]3.47269328094531[/C][/ROW]
[ROW][C]0.74[/C][C]128.68[/C][C]3.42926532839135[/C][/ROW]
[ROW][C]0.75[/C][C]129.4[/C][C]3.38345403141673[/C][/ROW]
[ROW][C]0.76[/C][C]130.12[/C][C]3.33516645431945[/C][/ROW]
[ROW][C]0.77[/C][C]130.84[/C][C]3.28431339643697[/C][/ROW]
[ROW][C]0.78[/C][C]131.56[/C][C]3.23074701124035[/C][/ROW]
[ROW][C]0.79[/C][C]132.28[/C][C]3.17437967346584[/C][/ROW]
[ROW][C]0.8[/C][C]133[/C][C]3.11513832191891[/C][/ROW]
[ROW][C]0.81[/C][C]133.719999999999[/C][C]3.05268096945474[/C][/ROW]
[ROW][C]0.82[/C][C]134.440000000000[/C][C]2.98686593386107[/C][/ROW]
[ROW][C]0.83[/C][C]135.160000000011[/C][C]2.91771174813024[/C][/ROW]
[ROW][C]0.84[/C][C]135.880000000049[/C][C]2.84479196243665[/C][/ROW]
[ROW][C]0.85[/C][C]136.600000000005[/C][C]2.76788630564497[/C][/ROW]
[ROW][C]0.86[/C][C]137.319999999107[/C][C]2.6866480092158[/C][/ROW]
[ROW][C]0.87[/C][C]138.039999996232[/C][C]2.60075256537634[/C][/ROW]
[ROW][C]0.88[/C][C]138.760000000472[/C][C]2.50986942404607[/C][/ROW]
[ROW][C]0.89[/C][C]139.480000068224[/C][C]2.41349099592267[/C][/ROW]
[ROW][C]0.9[/C][C]140.200000270527[/C][C]2.3108655245249[/C][/ROW]
[ROW][C]0.91[/C][C]140.919999936843[/C][C]2.20141028217740[/C][/ROW]
[ROW][C]0.92[/C][C]141.639995180285[/C][C]2.08409669804835[/C][/ROW]
[ROW][C]0.93[/C][C]142.359981435522[/C][C]1.95788007731222[/C][/ROW]
[ROW][C]0.94[/C][C]143.080004021791[/C][C]1.82113638011646[/C][/ROW]
[ROW][C]0.95[/C][C]143.800323517757[/C][C]1.67175100860967[/C][/ROW]
[ROW][C]0.96[/C][C]144.521284801881[/C][C]1.50667448343829[/C][/ROW]
[ROW][C]0.97[/C][C]145.239944087740[/C][C]1.32438779179525[/C][/ROW]
[ROW][C]0.98[/C][C]145.93509263375[/C][C]1.14016709422061[/C][/ROW]
[ROW][C]0.99[/C][C]146.534489037213[/C][C]1.01309592541347[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82905&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82905&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
0.0176.26551096278671.01309572273948
0.0276.86490736625011.14018335465458
0.0377.56005591225951.32435519645407
0.0478.2787151981191.50672251561879
0.0578.99967648224321.67172615525311
0.0679.71999597820951.82112132660119
0.0780.44001856447811.95788917570551
0.0881.16000481971482.08412311022466
0.0981.88000006315752.2014223659743
0.182.59999972947292.31086486844253
0.1183.31999993177632.41341663247940
0.1284.0399999995282.50995329074092
0.1384.7600000037682.60078973550543
0.1485.48000000089322.68668460116547
0.1586.19999999999552.76786808661185
0.1686.91999999995062.84478998138244
0.1787.63999999998932.91766480677272
0.1888.36000000000032.98689132975762
0.1989.08000000000063.05257660979511
0.289.80000000000023.11512554802372
0.2190.523.17436302225584
0.2291.243.23075171119356
0.2391.963.28431008602013
0.2492.683.33519074083367
0.2593.43.38353819580761
0.2694.123.42926258975518
0.2794.843.47274274173254
0.2895.563.51376414766249
0.2996.283.55269123116594
0.3973.58933300594896
0.3197.723.62391890275915
0.3298.443.65644244633991
0.3399.163.686800238899
0.3499.883.71563348466567
0.35100.63.74223476277595
0.36101.323.76696483738444
0.37102.043.79001433614374
0.38102.763.81105620848133
0.39103.483.83027557450669
0.4104.23.84803526126843
0.41104.923.86389176250908
0.42105.643.87795737357667
0.43106.363.89036226688665
0.44107.083.90110490470621
0.45107.83.91009872072716
0.46108.523.91754072026249
0.47109.243.92332909071489
0.48109.963.92737194931607
0.49110.683.92983751104965
0.5111.43.93069072509601
0.51112.123.92989453353642
0.52112.843.92744495293295
0.53113.563.92332858060545
0.54114.283.91757307824264
0.551153.91014221459627
0.56115.723.90117593986987
0.57116.443.89039438870337
0.58117.163.87791487459945
0.59117.883.86379258850906
0.6118.63.84796752849409
0.61119.323.83041839433630
0.62120.043.81108598425003
0.63120.763.78999857720558
0.64121.483.76699423981067
0.65122.23.74218132864751
0.66122.923.71557013352033
0.67123.643.68694397071049
0.68124.363.65647148549815
0.69125.083.62392947161988
0.7125.83.58925024337363
0.71126.523.55257704282382
0.72127.243.51373877302799
0.73127.963.47269328094531
0.74128.683.42926532839135
0.75129.43.38345403141673
0.76130.123.33516645431945
0.77130.843.28431339643697
0.78131.563.23074701124035
0.79132.283.17437967346584
0.81333.11513832191891
0.81133.7199999999993.05268096945474
0.82134.4400000000002.98686593386107
0.83135.1600000000112.91771174813024
0.84135.8800000000492.84479196243665
0.85136.6000000000052.76788630564497
0.86137.3199999991072.6866480092158
0.87138.0399999962322.60075256537634
0.88138.7600000004722.50986942404607
0.89139.4800000682242.41349099592267
0.9140.2000002705272.3108655245249
0.91140.9199999368432.20141028217740
0.92141.6399951802852.08409669804835
0.93142.3599814355221.95788007731222
0.94143.0800040217911.82113638011646
0.95143.8003235177571.67175100860967
0.96144.5212848018811.50667448343829
0.97145.2399440877401.32438779179525
0.98145.935092633751.14016709422061
0.99146.5344890372131.01309592541347


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')