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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 computationWed, 08 Oct 2014 13:12:46 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/08/t1412770403y5zopdpbn22vajp.htm/, Retrieved Sat, 11 May 2024 20:27:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239536, Retrieved Sat, 11 May 2024 20:27:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

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] [] [2014-10-08 12:12:46] [bdca4dcc63d0690a1e5c4820657ce42d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
55.7
59.2
59.8
61.6
65.8
64.2
67
62.8
65.5
75.2
80.9
83.2
83.7
86.4
85.9
80.4
81.8
87.5
83.7
87
99.7
101.4
101.9
115.7
123.2
136.9
146.8
149.6
146.5
157
147.9
133.6
128.7
100.8
91.8
89.3
96.7
91.6
93.3
93.3
101
100.4
86.9
83.9
80.3
87.7
92.7
95.5
92
87.4
86.8
83.7
85
81.7
90.9
101.5
113.8
120.1
122.1
132.5
140
149.4
144.3
154.4
151.4
145.5
136.8
146.6
145.1
133.6
131.4
127.5
130.1
131.1
132.3
128.6
125.1
128.7
156.1
163.2
159.8
157.4
156.2
152.5
149.4
145.9
144.8
135.9
137.6
136
117.7
111.5
107.8
107.3
102.6
101
98.3
102.7
110.8
112.8
113.4
104.3
93.8
90.5

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 Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239536&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239536&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239536&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 Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0157.27419392152612.53423439709838
0.0259.2329931375881.99945996454827
0.0360.89680905336242.21023793305694
0.0462.42289368770542.70526038229781
0.0564.03058482024573.45107760678527
0.0665.85119079809854.46046871745835
0.0767.94376101747785.51756644112702
0.0870.27306968896016.28107274398259
0.0972.70611918956346.49528735940227
0.175.05898603085866.12121969398515
0.1177.16650513329245.32383655999611
0.1278.93302574289544.36007509567595
0.1380.34384110080983.45746664688716
0.1481.44450844298492.74801770465478
0.1582.30847063135852.2654269975293
0.1683.0100915103741.9785715752771
0.1783.60988051952541.83135946909681
0.1884.15043190766031.7705466738332
0.1984.65856096271771.75622996122134
0.285.14974478860331.76361316321026
0.2185.63265842139931.78255769617444
0.2286.1128355429271.81349857846884
0.2386.5950700704351.86275894014105
0.2487.08446747459151.93617201843965
0.2587.58633509453322.03337769751265
0.2688.1053826970732.14828584953007
0.2788.64485274306412.27040587922343
0.2889.20611349428472.38935763906181
0.2989.78895449942842.50020923022187
0.390.39245828139492.60349397080035
0.3191.01604535678252.70617377938751
0.3291.66020945582342.81689776084864
0.3392.32659072030462.942165106288
0.3493.017307103673.08208698301447
0.3593.73376381475223.22887025688456
0.3694.47537620155663.3675019330188
0.3795.23870207862723.48031773020832
0.3896.01737177792683.55222093851477
0.3996.80296898934533.57532581326292
0.497.58672945238623.55163471215984
0.4198.36167454070443.49560094443572
0.4299.12465413836873.43121442498417
0.4399.87777531151793.38958795930484
0.44100.628835819353.40164132095627
0.45101.3906227057853.49153565505369
0.46102.179210428023.67048234692174
0.47103.0116289468763.93414361922117
0.48103.9034108311524.26493867661816
0.49104.8665343841374.63713871371464
0.5105.9081569425755.02269211839491
0.51107.0303122689685.39662268551205
0.52108.2304883180375.74049494764421
0.53109.5027787463976.04369003266049
0.54110.8391780178196.30216127097757
0.55112.2306027791396.51623493607253
0.56113.6673665848156.68586850074792
0.57115.1390632982426.80847178530727
0.58116.6340498799796.87643839981991
0.59118.1388817456496.87882451299704
0.6119.6380882981066.80473069067042
0.61121.1145721940466.6458588216139
0.62122.5507111621426.40199511488451
0.63123.9300074194456.08185380356631
0.64125.2389462679765.70353885398193
0.65126.4686513312745.29239384298008
0.66127.6159784922114.87760679949442
0.67128.6838491662784.48780653669464
0.68129.6808278247614.14828526805914
0.69130.6201274943413.87718739216643
0.7131.5183193207363.68536208729729
0.71132.3939967410943.57733546959025
0.72133.2665117489383.55176829643566
0.73134.1547159801183.60301413641732
0.74135.0754956095273.71948492398622
0.75136.0418891632743.88216593249716
0.76137.0607866205794.0622614416954
0.77138.130597825664.22148883643596
0.78139.2396929066334.31581025088593
0.79140.3666081710284.30650924661319
0.8141.482750640614.16925866290787
0.81142.5575750084993.90555716240852
0.82143.5651836637123.54422490044215
0.83144.4904862557133.13788720771787
0.84145.3329426694542.74914570472567
0.85146.1067167079172.4350252265057
0.86146.8375097145412.23107419930799
0.87147.5576766035772.14475278457007
0.88148.3015615058122.1622517443691
0.89149.1018700715962.26149706892253
0.9149.9858876052412.4176666607967
0.91150.9692001285622.59070444051311
0.92152.0463972439462.7133074838947
0.93153.1836816045682.70144763485046
0.94154.3246715248562.49759621143574
0.95155.4220035735292.13325973840565
0.96156.4977389000811.77831308104812
0.97157.7111765513771.72395047812199
0.98159.3502458280362.12688354270629
0.99161.493866274862.79525672751115

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 57.2741939215261 & 2.53423439709838 \tabularnewline
0.02 & 59.232993137588 & 1.99945996454827 \tabularnewline
0.03 & 60.8968090533624 & 2.21023793305694 \tabularnewline
0.04 & 62.4228936877054 & 2.70526038229781 \tabularnewline
0.05 & 64.0305848202457 & 3.45107760678527 \tabularnewline
0.06 & 65.8511907980985 & 4.46046871745835 \tabularnewline
0.07 & 67.9437610174778 & 5.51756644112702 \tabularnewline
0.08 & 70.2730696889601 & 6.28107274398259 \tabularnewline
0.09 & 72.7061191895634 & 6.49528735940227 \tabularnewline
0.1 & 75.0589860308586 & 6.12121969398515 \tabularnewline
0.11 & 77.1665051332924 & 5.32383655999611 \tabularnewline
0.12 & 78.9330257428954 & 4.36007509567595 \tabularnewline
0.13 & 80.3438411008098 & 3.45746664688716 \tabularnewline
0.14 & 81.4445084429849 & 2.74801770465478 \tabularnewline
0.15 & 82.3084706313585 & 2.2654269975293 \tabularnewline
0.16 & 83.010091510374 & 1.9785715752771 \tabularnewline
0.17 & 83.6098805195254 & 1.83135946909681 \tabularnewline
0.18 & 84.1504319076603 & 1.7705466738332 \tabularnewline
0.19 & 84.6585609627177 & 1.75622996122134 \tabularnewline
0.2 & 85.1497447886033 & 1.76361316321026 \tabularnewline
0.21 & 85.6326584213993 & 1.78255769617444 \tabularnewline
0.22 & 86.112835542927 & 1.81349857846884 \tabularnewline
0.23 & 86.595070070435 & 1.86275894014105 \tabularnewline
0.24 & 87.0844674745915 & 1.93617201843965 \tabularnewline
0.25 & 87.5863350945332 & 2.03337769751265 \tabularnewline
0.26 & 88.105382697073 & 2.14828584953007 \tabularnewline
0.27 & 88.6448527430641 & 2.27040587922343 \tabularnewline
0.28 & 89.2061134942847 & 2.38935763906181 \tabularnewline
0.29 & 89.7889544994284 & 2.50020923022187 \tabularnewline
0.3 & 90.3924582813949 & 2.60349397080035 \tabularnewline
0.31 & 91.0160453567825 & 2.70617377938751 \tabularnewline
0.32 & 91.6602094558234 & 2.81689776084864 \tabularnewline
0.33 & 92.3265907203046 & 2.942165106288 \tabularnewline
0.34 & 93.01730710367 & 3.08208698301447 \tabularnewline
0.35 & 93.7337638147522 & 3.22887025688456 \tabularnewline
0.36 & 94.4753762015566 & 3.3675019330188 \tabularnewline
0.37 & 95.2387020786272 & 3.48031773020832 \tabularnewline
0.38 & 96.0173717779268 & 3.55222093851477 \tabularnewline
0.39 & 96.8029689893453 & 3.57532581326292 \tabularnewline
0.4 & 97.5867294523862 & 3.55163471215984 \tabularnewline
0.41 & 98.3616745407044 & 3.49560094443572 \tabularnewline
0.42 & 99.1246541383687 & 3.43121442498417 \tabularnewline
0.43 & 99.8777753115179 & 3.38958795930484 \tabularnewline
0.44 & 100.62883581935 & 3.40164132095627 \tabularnewline
0.45 & 101.390622705785 & 3.49153565505369 \tabularnewline
0.46 & 102.17921042802 & 3.67048234692174 \tabularnewline
0.47 & 103.011628946876 & 3.93414361922117 \tabularnewline
0.48 & 103.903410831152 & 4.26493867661816 \tabularnewline
0.49 & 104.866534384137 & 4.63713871371464 \tabularnewline
0.5 & 105.908156942575 & 5.02269211839491 \tabularnewline
0.51 & 107.030312268968 & 5.39662268551205 \tabularnewline
0.52 & 108.230488318037 & 5.74049494764421 \tabularnewline
0.53 & 109.502778746397 & 6.04369003266049 \tabularnewline
0.54 & 110.839178017819 & 6.30216127097757 \tabularnewline
0.55 & 112.230602779139 & 6.51623493607253 \tabularnewline
0.56 & 113.667366584815 & 6.68586850074792 \tabularnewline
0.57 & 115.139063298242 & 6.80847178530727 \tabularnewline
0.58 & 116.634049879979 & 6.87643839981991 \tabularnewline
0.59 & 118.138881745649 & 6.87882451299704 \tabularnewline
0.6 & 119.638088298106 & 6.80473069067042 \tabularnewline
0.61 & 121.114572194046 & 6.6458588216139 \tabularnewline
0.62 & 122.550711162142 & 6.40199511488451 \tabularnewline
0.63 & 123.930007419445 & 6.08185380356631 \tabularnewline
0.64 & 125.238946267976 & 5.70353885398193 \tabularnewline
0.65 & 126.468651331274 & 5.29239384298008 \tabularnewline
0.66 & 127.615978492211 & 4.87760679949442 \tabularnewline
0.67 & 128.683849166278 & 4.48780653669464 \tabularnewline
0.68 & 129.680827824761 & 4.14828526805914 \tabularnewline
0.69 & 130.620127494341 & 3.87718739216643 \tabularnewline
0.7 & 131.518319320736 & 3.68536208729729 \tabularnewline
0.71 & 132.393996741094 & 3.57733546959025 \tabularnewline
0.72 & 133.266511748938 & 3.55176829643566 \tabularnewline
0.73 & 134.154715980118 & 3.60301413641732 \tabularnewline
0.74 & 135.075495609527 & 3.71948492398622 \tabularnewline
0.75 & 136.041889163274 & 3.88216593249716 \tabularnewline
0.76 & 137.060786620579 & 4.0622614416954 \tabularnewline
0.77 & 138.13059782566 & 4.22148883643596 \tabularnewline
0.78 & 139.239692906633 & 4.31581025088593 \tabularnewline
0.79 & 140.366608171028 & 4.30650924661319 \tabularnewline
0.8 & 141.48275064061 & 4.16925866290787 \tabularnewline
0.81 & 142.557575008499 & 3.90555716240852 \tabularnewline
0.82 & 143.565183663712 & 3.54422490044215 \tabularnewline
0.83 & 144.490486255713 & 3.13788720771787 \tabularnewline
0.84 & 145.332942669454 & 2.74914570472567 \tabularnewline
0.85 & 146.106716707917 & 2.4350252265057 \tabularnewline
0.86 & 146.837509714541 & 2.23107419930799 \tabularnewline
0.87 & 147.557676603577 & 2.14475278457007 \tabularnewline
0.88 & 148.301561505812 & 2.1622517443691 \tabularnewline
0.89 & 149.101870071596 & 2.26149706892253 \tabularnewline
0.9 & 149.985887605241 & 2.4176666607967 \tabularnewline
0.91 & 150.969200128562 & 2.59070444051311 \tabularnewline
0.92 & 152.046397243946 & 2.7133074838947 \tabularnewline
0.93 & 153.183681604568 & 2.70144763485046 \tabularnewline
0.94 & 154.324671524856 & 2.49759621143574 \tabularnewline
0.95 & 155.422003573529 & 2.13325973840565 \tabularnewline
0.96 & 156.497738900081 & 1.77831308104812 \tabularnewline
0.97 & 157.711176551377 & 1.72395047812199 \tabularnewline
0.98 & 159.350245828036 & 2.12688354270629 \tabularnewline
0.99 & 161.49386627486 & 2.79525672751115 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239536&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]57.2741939215261[/C][C]2.53423439709838[/C][/ROW]
[ROW][C]0.02[/C][C]59.232993137588[/C][C]1.99945996454827[/C][/ROW]
[ROW][C]0.03[/C][C]60.8968090533624[/C][C]2.21023793305694[/C][/ROW]
[ROW][C]0.04[/C][C]62.4228936877054[/C][C]2.70526038229781[/C][/ROW]
[ROW][C]0.05[/C][C]64.0305848202457[/C][C]3.45107760678527[/C][/ROW]
[ROW][C]0.06[/C][C]65.8511907980985[/C][C]4.46046871745835[/C][/ROW]
[ROW][C]0.07[/C][C]67.9437610174778[/C][C]5.51756644112702[/C][/ROW]
[ROW][C]0.08[/C][C]70.2730696889601[/C][C]6.28107274398259[/C][/ROW]
[ROW][C]0.09[/C][C]72.7061191895634[/C][C]6.49528735940227[/C][/ROW]
[ROW][C]0.1[/C][C]75.0589860308586[/C][C]6.12121969398515[/C][/ROW]
[ROW][C]0.11[/C][C]77.1665051332924[/C][C]5.32383655999611[/C][/ROW]
[ROW][C]0.12[/C][C]78.9330257428954[/C][C]4.36007509567595[/C][/ROW]
[ROW][C]0.13[/C][C]80.3438411008098[/C][C]3.45746664688716[/C][/ROW]
[ROW][C]0.14[/C][C]81.4445084429849[/C][C]2.74801770465478[/C][/ROW]
[ROW][C]0.15[/C][C]82.3084706313585[/C][C]2.2654269975293[/C][/ROW]
[ROW][C]0.16[/C][C]83.010091510374[/C][C]1.9785715752771[/C][/ROW]
[ROW][C]0.17[/C][C]83.6098805195254[/C][C]1.83135946909681[/C][/ROW]
[ROW][C]0.18[/C][C]84.1504319076603[/C][C]1.7705466738332[/C][/ROW]
[ROW][C]0.19[/C][C]84.6585609627177[/C][C]1.75622996122134[/C][/ROW]
[ROW][C]0.2[/C][C]85.1497447886033[/C][C]1.76361316321026[/C][/ROW]
[ROW][C]0.21[/C][C]85.6326584213993[/C][C]1.78255769617444[/C][/ROW]
[ROW][C]0.22[/C][C]86.112835542927[/C][C]1.81349857846884[/C][/ROW]
[ROW][C]0.23[/C][C]86.595070070435[/C][C]1.86275894014105[/C][/ROW]
[ROW][C]0.24[/C][C]87.0844674745915[/C][C]1.93617201843965[/C][/ROW]
[ROW][C]0.25[/C][C]87.5863350945332[/C][C]2.03337769751265[/C][/ROW]
[ROW][C]0.26[/C][C]88.105382697073[/C][C]2.14828584953007[/C][/ROW]
[ROW][C]0.27[/C][C]88.6448527430641[/C][C]2.27040587922343[/C][/ROW]
[ROW][C]0.28[/C][C]89.2061134942847[/C][C]2.38935763906181[/C][/ROW]
[ROW][C]0.29[/C][C]89.7889544994284[/C][C]2.50020923022187[/C][/ROW]
[ROW][C]0.3[/C][C]90.3924582813949[/C][C]2.60349397080035[/C][/ROW]
[ROW][C]0.31[/C][C]91.0160453567825[/C][C]2.70617377938751[/C][/ROW]
[ROW][C]0.32[/C][C]91.6602094558234[/C][C]2.81689776084864[/C][/ROW]
[ROW][C]0.33[/C][C]92.3265907203046[/C][C]2.942165106288[/C][/ROW]
[ROW][C]0.34[/C][C]93.01730710367[/C][C]3.08208698301447[/C][/ROW]
[ROW][C]0.35[/C][C]93.7337638147522[/C][C]3.22887025688456[/C][/ROW]
[ROW][C]0.36[/C][C]94.4753762015566[/C][C]3.3675019330188[/C][/ROW]
[ROW][C]0.37[/C][C]95.2387020786272[/C][C]3.48031773020832[/C][/ROW]
[ROW][C]0.38[/C][C]96.0173717779268[/C][C]3.55222093851477[/C][/ROW]
[ROW][C]0.39[/C][C]96.8029689893453[/C][C]3.57532581326292[/C][/ROW]
[ROW][C]0.4[/C][C]97.5867294523862[/C][C]3.55163471215984[/C][/ROW]
[ROW][C]0.41[/C][C]98.3616745407044[/C][C]3.49560094443572[/C][/ROW]
[ROW][C]0.42[/C][C]99.1246541383687[/C][C]3.43121442498417[/C][/ROW]
[ROW][C]0.43[/C][C]99.8777753115179[/C][C]3.38958795930484[/C][/ROW]
[ROW][C]0.44[/C][C]100.62883581935[/C][C]3.40164132095627[/C][/ROW]
[ROW][C]0.45[/C][C]101.390622705785[/C][C]3.49153565505369[/C][/ROW]
[ROW][C]0.46[/C][C]102.17921042802[/C][C]3.67048234692174[/C][/ROW]
[ROW][C]0.47[/C][C]103.011628946876[/C][C]3.93414361922117[/C][/ROW]
[ROW][C]0.48[/C][C]103.903410831152[/C][C]4.26493867661816[/C][/ROW]
[ROW][C]0.49[/C][C]104.866534384137[/C][C]4.63713871371464[/C][/ROW]
[ROW][C]0.5[/C][C]105.908156942575[/C][C]5.02269211839491[/C][/ROW]
[ROW][C]0.51[/C][C]107.030312268968[/C][C]5.39662268551205[/C][/ROW]
[ROW][C]0.52[/C][C]108.230488318037[/C][C]5.74049494764421[/C][/ROW]
[ROW][C]0.53[/C][C]109.502778746397[/C][C]6.04369003266049[/C][/ROW]
[ROW][C]0.54[/C][C]110.839178017819[/C][C]6.30216127097757[/C][/ROW]
[ROW][C]0.55[/C][C]112.230602779139[/C][C]6.51623493607253[/C][/ROW]
[ROW][C]0.56[/C][C]113.667366584815[/C][C]6.68586850074792[/C][/ROW]
[ROW][C]0.57[/C][C]115.139063298242[/C][C]6.80847178530727[/C][/ROW]
[ROW][C]0.58[/C][C]116.634049879979[/C][C]6.87643839981991[/C][/ROW]
[ROW][C]0.59[/C][C]118.138881745649[/C][C]6.87882451299704[/C][/ROW]
[ROW][C]0.6[/C][C]119.638088298106[/C][C]6.80473069067042[/C][/ROW]
[ROW][C]0.61[/C][C]121.114572194046[/C][C]6.6458588216139[/C][/ROW]
[ROW][C]0.62[/C][C]122.550711162142[/C][C]6.40199511488451[/C][/ROW]
[ROW][C]0.63[/C][C]123.930007419445[/C][C]6.08185380356631[/C][/ROW]
[ROW][C]0.64[/C][C]125.238946267976[/C][C]5.70353885398193[/C][/ROW]
[ROW][C]0.65[/C][C]126.468651331274[/C][C]5.29239384298008[/C][/ROW]
[ROW][C]0.66[/C][C]127.615978492211[/C][C]4.87760679949442[/C][/ROW]
[ROW][C]0.67[/C][C]128.683849166278[/C][C]4.48780653669464[/C][/ROW]
[ROW][C]0.68[/C][C]129.680827824761[/C][C]4.14828526805914[/C][/ROW]
[ROW][C]0.69[/C][C]130.620127494341[/C][C]3.87718739216643[/C][/ROW]
[ROW][C]0.7[/C][C]131.518319320736[/C][C]3.68536208729729[/C][/ROW]
[ROW][C]0.71[/C][C]132.393996741094[/C][C]3.57733546959025[/C][/ROW]
[ROW][C]0.72[/C][C]133.266511748938[/C][C]3.55176829643566[/C][/ROW]
[ROW][C]0.73[/C][C]134.154715980118[/C][C]3.60301413641732[/C][/ROW]
[ROW][C]0.74[/C][C]135.075495609527[/C][C]3.71948492398622[/C][/ROW]
[ROW][C]0.75[/C][C]136.041889163274[/C][C]3.88216593249716[/C][/ROW]
[ROW][C]0.76[/C][C]137.060786620579[/C][C]4.0622614416954[/C][/ROW]
[ROW][C]0.77[/C][C]138.13059782566[/C][C]4.22148883643596[/C][/ROW]
[ROW][C]0.78[/C][C]139.239692906633[/C][C]4.31581025088593[/C][/ROW]
[ROW][C]0.79[/C][C]140.366608171028[/C][C]4.30650924661319[/C][/ROW]
[ROW][C]0.8[/C][C]141.48275064061[/C][C]4.16925866290787[/C][/ROW]
[ROW][C]0.81[/C][C]142.557575008499[/C][C]3.90555716240852[/C][/ROW]
[ROW][C]0.82[/C][C]143.565183663712[/C][C]3.54422490044215[/C][/ROW]
[ROW][C]0.83[/C][C]144.490486255713[/C][C]3.13788720771787[/C][/ROW]
[ROW][C]0.84[/C][C]145.332942669454[/C][C]2.74914570472567[/C][/ROW]
[ROW][C]0.85[/C][C]146.106716707917[/C][C]2.4350252265057[/C][/ROW]
[ROW][C]0.86[/C][C]146.837509714541[/C][C]2.23107419930799[/C][/ROW]
[ROW][C]0.87[/C][C]147.557676603577[/C][C]2.14475278457007[/C][/ROW]
[ROW][C]0.88[/C][C]148.301561505812[/C][C]2.1622517443691[/C][/ROW]
[ROW][C]0.89[/C][C]149.101870071596[/C][C]2.26149706892253[/C][/ROW]
[ROW][C]0.9[/C][C]149.985887605241[/C][C]2.4176666607967[/C][/ROW]
[ROW][C]0.91[/C][C]150.969200128562[/C][C]2.59070444051311[/C][/ROW]
[ROW][C]0.92[/C][C]152.046397243946[/C][C]2.7133074838947[/C][/ROW]
[ROW][C]0.93[/C][C]153.183681604568[/C][C]2.70144763485046[/C][/ROW]
[ROW][C]0.94[/C][C]154.324671524856[/C][C]2.49759621143574[/C][/ROW]
[ROW][C]0.95[/C][C]155.422003573529[/C][C]2.13325973840565[/C][/ROW]
[ROW][C]0.96[/C][C]156.497738900081[/C][C]1.77831308104812[/C][/ROW]
[ROW][C]0.97[/C][C]157.711176551377[/C][C]1.72395047812199[/C][/ROW]
[ROW][C]0.98[/C][C]159.350245828036[/C][C]2.12688354270629[/C][/ROW]
[ROW][C]0.99[/C][C]161.49386627486[/C][C]2.79525672751115[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239536&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239536&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
0.0157.27419392152612.53423439709838
0.0259.2329931375881.99945996454827
0.0360.89680905336242.21023793305694
0.0462.42289368770542.70526038229781
0.0564.03058482024573.45107760678527
0.0665.85119079809854.46046871745835
0.0767.94376101747785.51756644112702
0.0870.27306968896016.28107274398259
0.0972.70611918956346.49528735940227
0.175.05898603085866.12121969398515
0.1177.16650513329245.32383655999611
0.1278.93302574289544.36007509567595
0.1380.34384110080983.45746664688716
0.1481.44450844298492.74801770465478
0.1582.30847063135852.2654269975293
0.1683.0100915103741.9785715752771
0.1783.60988051952541.83135946909681
0.1884.15043190766031.7705466738332
0.1984.65856096271771.75622996122134
0.285.14974478860331.76361316321026
0.2185.63265842139931.78255769617444
0.2286.1128355429271.81349857846884
0.2386.5950700704351.86275894014105
0.2487.08446747459151.93617201843965
0.2587.58633509453322.03337769751265
0.2688.1053826970732.14828584953007
0.2788.64485274306412.27040587922343
0.2889.20611349428472.38935763906181
0.2989.78895449942842.50020923022187
0.390.39245828139492.60349397080035
0.3191.01604535678252.70617377938751
0.3291.66020945582342.81689776084864
0.3392.32659072030462.942165106288
0.3493.017307103673.08208698301447
0.3593.73376381475223.22887025688456
0.3694.47537620155663.3675019330188
0.3795.23870207862723.48031773020832
0.3896.01737177792683.55222093851477
0.3996.80296898934533.57532581326292
0.497.58672945238623.55163471215984
0.4198.36167454070443.49560094443572
0.4299.12465413836873.43121442498417
0.4399.87777531151793.38958795930484
0.44100.628835819353.40164132095627
0.45101.3906227057853.49153565505369
0.46102.179210428023.67048234692174
0.47103.0116289468763.93414361922117
0.48103.9034108311524.26493867661816
0.49104.8665343841374.63713871371464
0.5105.9081569425755.02269211839491
0.51107.0303122689685.39662268551205
0.52108.2304883180375.74049494764421
0.53109.5027787463976.04369003266049
0.54110.8391780178196.30216127097757
0.55112.2306027791396.51623493607253
0.56113.6673665848156.68586850074792
0.57115.1390632982426.80847178530727
0.58116.6340498799796.87643839981991
0.59118.1388817456496.87882451299704
0.6119.6380882981066.80473069067042
0.61121.1145721940466.6458588216139
0.62122.5507111621426.40199511488451
0.63123.9300074194456.08185380356631
0.64125.2389462679765.70353885398193
0.65126.4686513312745.29239384298008
0.66127.6159784922114.87760679949442
0.67128.6838491662784.48780653669464
0.68129.6808278247614.14828526805914
0.69130.6201274943413.87718739216643
0.7131.5183193207363.68536208729729
0.71132.3939967410943.57733546959025
0.72133.2665117489383.55176829643566
0.73134.1547159801183.60301413641732
0.74135.0754956095273.71948492398622
0.75136.0418891632743.88216593249716
0.76137.0607866205794.0622614416954
0.77138.130597825664.22148883643596
0.78139.2396929066334.31581025088593
0.79140.3666081710284.30650924661319
0.8141.482750640614.16925866290787
0.81142.5575750084993.90555716240852
0.82143.5651836637123.54422490044215
0.83144.4904862557133.13788720771787
0.84145.3329426694542.74914570472567
0.85146.1067167079172.4350252265057
0.86146.8375097145412.23107419930799
0.87147.5576766035772.14475278457007
0.88148.3015615058122.1622517443691
0.89149.1018700715962.26149706892253
0.9149.9858876052412.4176666607967
0.91150.9692001285622.59070444051311
0.92152.0463972439462.7133074838947
0.93153.1836816045682.70144763485046
0.94154.3246715248562.49759621143574
0.95155.4220035735292.13325973840565
0.96156.4977389000811.77831308104812
0.97157.7111765513771.72395047812199
0.98159.3502458280362.12688354270629
0.99161.493866274862.79525672751115


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')