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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, 14 Mar 2017 12:09:12 +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/Mar/14/t1489493468hckn74huhuu97oc.htm/, Retrieved Tue, 14 May 2024 16:20:14 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 16:20:14 +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 
78,46
78,59
81,37
83,61
84,65
84,56
83,85
84,08
85,41
85,75
86,38
88,87
90,37
92,21
95,75
97,29
98,29
99,51
99,04
98,9
100,74
100,3
101,68
101,3
103,13
104,17
105,98
106,25
104,01
101,68
101,93
104,41
105,51
104,71
103,14
102,66
102,68
101,89
101,37
101,16
99,34
99,35
99,88
99,31
99,91
98,39
98,02
98,7
98,01
98,42
98,2
93,5
93,17
93,42
93,13
92,31
92,09
92,62
91,43
89,38
86,21
86,65
88,62
87,3
88,33
88,67
88,23
88,85
90,38
89,65
89,2
87,87

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' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.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]'Gwilym Jenkins' @ jenkins.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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0178.77146641042470.894534559485023
0.0279.45768140738241.73887662728261
0.0380.40420376761942.13552257820342
0.0481.41211766047782.06482923528191
0.0582.32147650105481.74493260198321
0.0683.06103557557171.38889333082314
0.0783.63356154067731.11891164868277
0.0884.07863389310130.969903521146345
0.0984.44209711644970.919795285994413
0.184.76050915568140.926647108538351
0.1185.05734001597860.956889566810571
0.1285.34510713807420.991358281225293
0.1385.62914490914941.02226742083236
0.1485.91085612061291.04689702451228
0.1586.18980734900371.0647026697974
0.1686.46479566866181.07489260566532
0.1786.73427158972841.07606284718638
0.1886.99649224755721.06628938536702
0.1987.24965642775691.04493469537755
0.287.49212887154711.01285591871312
0.2187.72274484227940.97327190710439
0.2287.94111976337280.931230706778597
0.2388.14787450331270.893092658865017
0.2488.34471112511390.865234562132573
0.2588.53431636316780.85317542888453
0.2688.7201119974910.860974818499565
0.2788.90590079887140.88953214245836
0.2889.09547000633680.937342165654073
0.2989.29221355884971.00085812883092
0.389.49882439528581.07503482965084
0.3189.71709374037541.15413185712689
0.3289.94783843621531.23283995458396
0.3390.19096134949071.306517286678
0.3490.44563401390481.37186797113742
0.3590.71057530027331.42735609574827
0.3690.98438607247681.47379073502925
0.3791.26588933674661.51348386599152
0.3891.55442062786551.55097620655224
0.3991.85001636864491.59157694811226
0.492.15345977153371.64026856951864
0.4192.46616402943561.70125124554367
0.4292.78989873551321.77609474292685
0.4393.12639366908721.86295701916746
0.4493.4768791853991.95716292970602
0.4593.84163920400092.05092332754138
0.4694.21965696095892.1346238671061
0.4794.60842315251672.19862214440682
0.4895.0039516475622.23372428461726
0.4995.40101349053662.23364948328072
0.595.79356190323872.19441948068605
0.5196.17528710417972.11656490881591
0.5296.54021713792932.00385543128239
0.5396.88327436400241.86314692925466
0.5497.20070802715091.70356425531334
0.5597.49034870750341.535123768667
0.5697.75166446855681.36782732555335
0.5797.98563352130061.21021954129608
0.5898.19447679153641.06901098488725
0.5998.38131053996410.948583109895616
0.698.54978194077060.851075963344882
0.6198.70374047900540.776238741462915
0.6298.84697914182990.723017133516337
0.6398.98305712155170.688752551739121
0.6499.11519563775370.671175693995738
0.6599.2462248225750.667700601194596
0.6699.37855466949510.675807873867441
0.6799.51414681787240.693004675350426
0.6899.65447442031510.716700206927992
0.6999.80047113126480.743694672756973
0.799.9524834237040.77060902862498
0.71100.11024933590.794182952213086
0.72100.2729287439830.811143140956965
0.73100.4392042819850.819149757747668
0.74100.6074588577190.816738320502155
0.75100.7760179116450.804151696840242
0.76100.943426145170.782903069424955
0.77101.1087141627240.756158647089234
0.78101.2716048654670.727896953910369
0.79101.4326156349730.702606031727148
0.8101.5930308110430.684370416629726
0.81101.7547464230230.675712549988497
0.82101.920018290630.677508683485956
0.83102.0911655274780.688566496513477
0.84102.2702852852030.706137217396329
0.85102.4590191877330.727083402580644
0.86102.6583872001740.747997934718711
0.87102.8686920906450.765969887307379
0.88103.0895189039490.777887309897378
0.89103.3199083510330.781044202336708
0.9103.558824257230.773536148459895
0.91103.8059703126170.756422220833869
0.92104.0627518572950.735483659037697
0.93104.3327515411120.720526138514559
0.94104.6207588741490.718834969395636
0.95104.929653006990.723903597109036
0.96105.2556213377990.709611860313146
0.97105.5837037572340.641782652482309
0.98105.885762777110.507406364942145
0.99106.1218057845320.351017342620379

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 78.7714664104247 & 0.894534559485023 \tabularnewline
0.02 & 79.4576814073824 & 1.73887662728261 \tabularnewline
0.03 & 80.4042037676194 & 2.13552257820342 \tabularnewline
0.04 & 81.4121176604778 & 2.06482923528191 \tabularnewline
0.05 & 82.3214765010548 & 1.74493260198321 \tabularnewline
0.06 & 83.0610355755717 & 1.38889333082314 \tabularnewline
0.07 & 83.6335615406773 & 1.11891164868277 \tabularnewline
0.08 & 84.0786338931013 & 0.969903521146345 \tabularnewline
0.09 & 84.4420971164497 & 0.919795285994413 \tabularnewline
0.1 & 84.7605091556814 & 0.926647108538351 \tabularnewline
0.11 & 85.0573400159786 & 0.956889566810571 \tabularnewline
0.12 & 85.3451071380742 & 0.991358281225293 \tabularnewline
0.13 & 85.6291449091494 & 1.02226742083236 \tabularnewline
0.14 & 85.9108561206129 & 1.04689702451228 \tabularnewline
0.15 & 86.1898073490037 & 1.0647026697974 \tabularnewline
0.16 & 86.4647956686618 & 1.07489260566532 \tabularnewline
0.17 & 86.7342715897284 & 1.07606284718638 \tabularnewline
0.18 & 86.9964922475572 & 1.06628938536702 \tabularnewline
0.19 & 87.2496564277569 & 1.04493469537755 \tabularnewline
0.2 & 87.4921288715471 & 1.01285591871312 \tabularnewline
0.21 & 87.7227448422794 & 0.97327190710439 \tabularnewline
0.22 & 87.9411197633728 & 0.931230706778597 \tabularnewline
0.23 & 88.1478745033127 & 0.893092658865017 \tabularnewline
0.24 & 88.3447111251139 & 0.865234562132573 \tabularnewline
0.25 & 88.5343163631678 & 0.85317542888453 \tabularnewline
0.26 & 88.720111997491 & 0.860974818499565 \tabularnewline
0.27 & 88.9059007988714 & 0.88953214245836 \tabularnewline
0.28 & 89.0954700063368 & 0.937342165654073 \tabularnewline
0.29 & 89.2922135588497 & 1.00085812883092 \tabularnewline
0.3 & 89.4988243952858 & 1.07503482965084 \tabularnewline
0.31 & 89.7170937403754 & 1.15413185712689 \tabularnewline
0.32 & 89.9478384362153 & 1.23283995458396 \tabularnewline
0.33 & 90.1909613494907 & 1.306517286678 \tabularnewline
0.34 & 90.4456340139048 & 1.37186797113742 \tabularnewline
0.35 & 90.7105753002733 & 1.42735609574827 \tabularnewline
0.36 & 90.9843860724768 & 1.47379073502925 \tabularnewline
0.37 & 91.2658893367466 & 1.51348386599152 \tabularnewline
0.38 & 91.5544206278655 & 1.55097620655224 \tabularnewline
0.39 & 91.8500163686449 & 1.59157694811226 \tabularnewline
0.4 & 92.1534597715337 & 1.64026856951864 \tabularnewline
0.41 & 92.4661640294356 & 1.70125124554367 \tabularnewline
0.42 & 92.7898987355132 & 1.77609474292685 \tabularnewline
0.43 & 93.1263936690872 & 1.86295701916746 \tabularnewline
0.44 & 93.476879185399 & 1.95716292970602 \tabularnewline
0.45 & 93.8416392040009 & 2.05092332754138 \tabularnewline
0.46 & 94.2196569609589 & 2.1346238671061 \tabularnewline
0.47 & 94.6084231525167 & 2.19862214440682 \tabularnewline
0.48 & 95.003951647562 & 2.23372428461726 \tabularnewline
0.49 & 95.4010134905366 & 2.23364948328072 \tabularnewline
0.5 & 95.7935619032387 & 2.19441948068605 \tabularnewline
0.51 & 96.1752871041797 & 2.11656490881591 \tabularnewline
0.52 & 96.5402171379293 & 2.00385543128239 \tabularnewline
0.53 & 96.8832743640024 & 1.86314692925466 \tabularnewline
0.54 & 97.2007080271509 & 1.70356425531334 \tabularnewline
0.55 & 97.4903487075034 & 1.535123768667 \tabularnewline
0.56 & 97.7516644685568 & 1.36782732555335 \tabularnewline
0.57 & 97.9856335213006 & 1.21021954129608 \tabularnewline
0.58 & 98.1944767915364 & 1.06901098488725 \tabularnewline
0.59 & 98.3813105399641 & 0.948583109895616 \tabularnewline
0.6 & 98.5497819407706 & 0.851075963344882 \tabularnewline
0.61 & 98.7037404790054 & 0.776238741462915 \tabularnewline
0.62 & 98.8469791418299 & 0.723017133516337 \tabularnewline
0.63 & 98.9830571215517 & 0.688752551739121 \tabularnewline
0.64 & 99.1151956377537 & 0.671175693995738 \tabularnewline
0.65 & 99.246224822575 & 0.667700601194596 \tabularnewline
0.66 & 99.3785546694951 & 0.675807873867441 \tabularnewline
0.67 & 99.5141468178724 & 0.693004675350426 \tabularnewline
0.68 & 99.6544744203151 & 0.716700206927992 \tabularnewline
0.69 & 99.8004711312648 & 0.743694672756973 \tabularnewline
0.7 & 99.952483423704 & 0.77060902862498 \tabularnewline
0.71 & 100.1102493359 & 0.794182952213086 \tabularnewline
0.72 & 100.272928743983 & 0.811143140956965 \tabularnewline
0.73 & 100.439204281985 & 0.819149757747668 \tabularnewline
0.74 & 100.607458857719 & 0.816738320502155 \tabularnewline
0.75 & 100.776017911645 & 0.804151696840242 \tabularnewline
0.76 & 100.94342614517 & 0.782903069424955 \tabularnewline
0.77 & 101.108714162724 & 0.756158647089234 \tabularnewline
0.78 & 101.271604865467 & 0.727896953910369 \tabularnewline
0.79 & 101.432615634973 & 0.702606031727148 \tabularnewline
0.8 & 101.593030811043 & 0.684370416629726 \tabularnewline
0.81 & 101.754746423023 & 0.675712549988497 \tabularnewline
0.82 & 101.92001829063 & 0.677508683485956 \tabularnewline
0.83 & 102.091165527478 & 0.688566496513477 \tabularnewline
0.84 & 102.270285285203 & 0.706137217396329 \tabularnewline
0.85 & 102.459019187733 & 0.727083402580644 \tabularnewline
0.86 & 102.658387200174 & 0.747997934718711 \tabularnewline
0.87 & 102.868692090645 & 0.765969887307379 \tabularnewline
0.88 & 103.089518903949 & 0.777887309897378 \tabularnewline
0.89 & 103.319908351033 & 0.781044202336708 \tabularnewline
0.9 & 103.55882425723 & 0.773536148459895 \tabularnewline
0.91 & 103.805970312617 & 0.756422220833869 \tabularnewline
0.92 & 104.062751857295 & 0.735483659037697 \tabularnewline
0.93 & 104.332751541112 & 0.720526138514559 \tabularnewline
0.94 & 104.620758874149 & 0.718834969395636 \tabularnewline
0.95 & 104.92965300699 & 0.723903597109036 \tabularnewline
0.96 & 105.255621337799 & 0.709611860313146 \tabularnewline
0.97 & 105.583703757234 & 0.641782652482309 \tabularnewline
0.98 & 105.88576277711 & 0.507406364942145 \tabularnewline
0.99 & 106.121805784532 & 0.351017342620379 \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]78.7714664104247[/C][C]0.894534559485023[/C][/ROW]
[ROW][C]0.02[/C][C]79.4576814073824[/C][C]1.73887662728261[/C][/ROW]
[ROW][C]0.03[/C][C]80.4042037676194[/C][C]2.13552257820342[/C][/ROW]
[ROW][C]0.04[/C][C]81.4121176604778[/C][C]2.06482923528191[/C][/ROW]
[ROW][C]0.05[/C][C]82.3214765010548[/C][C]1.74493260198321[/C][/ROW]
[ROW][C]0.06[/C][C]83.0610355755717[/C][C]1.38889333082314[/C][/ROW]
[ROW][C]0.07[/C][C]83.6335615406773[/C][C]1.11891164868277[/C][/ROW]
[ROW][C]0.08[/C][C]84.0786338931013[/C][C]0.969903521146345[/C][/ROW]
[ROW][C]0.09[/C][C]84.4420971164497[/C][C]0.919795285994413[/C][/ROW]
[ROW][C]0.1[/C][C]84.7605091556814[/C][C]0.926647108538351[/C][/ROW]
[ROW][C]0.11[/C][C]85.0573400159786[/C][C]0.956889566810571[/C][/ROW]
[ROW][C]0.12[/C][C]85.3451071380742[/C][C]0.991358281225293[/C][/ROW]
[ROW][C]0.13[/C][C]85.6291449091494[/C][C]1.02226742083236[/C][/ROW]
[ROW][C]0.14[/C][C]85.9108561206129[/C][C]1.04689702451228[/C][/ROW]
[ROW][C]0.15[/C][C]86.1898073490037[/C][C]1.0647026697974[/C][/ROW]
[ROW][C]0.16[/C][C]86.4647956686618[/C][C]1.07489260566532[/C][/ROW]
[ROW][C]0.17[/C][C]86.7342715897284[/C][C]1.07606284718638[/C][/ROW]
[ROW][C]0.18[/C][C]86.9964922475572[/C][C]1.06628938536702[/C][/ROW]
[ROW][C]0.19[/C][C]87.2496564277569[/C][C]1.04493469537755[/C][/ROW]
[ROW][C]0.2[/C][C]87.4921288715471[/C][C]1.01285591871312[/C][/ROW]
[ROW][C]0.21[/C][C]87.7227448422794[/C][C]0.97327190710439[/C][/ROW]
[ROW][C]0.22[/C][C]87.9411197633728[/C][C]0.931230706778597[/C][/ROW]
[ROW][C]0.23[/C][C]88.1478745033127[/C][C]0.893092658865017[/C][/ROW]
[ROW][C]0.24[/C][C]88.3447111251139[/C][C]0.865234562132573[/C][/ROW]
[ROW][C]0.25[/C][C]88.5343163631678[/C][C]0.85317542888453[/C][/ROW]
[ROW][C]0.26[/C][C]88.720111997491[/C][C]0.860974818499565[/C][/ROW]
[ROW][C]0.27[/C][C]88.9059007988714[/C][C]0.88953214245836[/C][/ROW]
[ROW][C]0.28[/C][C]89.0954700063368[/C][C]0.937342165654073[/C][/ROW]
[ROW][C]0.29[/C][C]89.2922135588497[/C][C]1.00085812883092[/C][/ROW]
[ROW][C]0.3[/C][C]89.4988243952858[/C][C]1.07503482965084[/C][/ROW]
[ROW][C]0.31[/C][C]89.7170937403754[/C][C]1.15413185712689[/C][/ROW]
[ROW][C]0.32[/C][C]89.9478384362153[/C][C]1.23283995458396[/C][/ROW]
[ROW][C]0.33[/C][C]90.1909613494907[/C][C]1.306517286678[/C][/ROW]
[ROW][C]0.34[/C][C]90.4456340139048[/C][C]1.37186797113742[/C][/ROW]
[ROW][C]0.35[/C][C]90.7105753002733[/C][C]1.42735609574827[/C][/ROW]
[ROW][C]0.36[/C][C]90.9843860724768[/C][C]1.47379073502925[/C][/ROW]
[ROW][C]0.37[/C][C]91.2658893367466[/C][C]1.51348386599152[/C][/ROW]
[ROW][C]0.38[/C][C]91.5544206278655[/C][C]1.55097620655224[/C][/ROW]
[ROW][C]0.39[/C][C]91.8500163686449[/C][C]1.59157694811226[/C][/ROW]
[ROW][C]0.4[/C][C]92.1534597715337[/C][C]1.64026856951864[/C][/ROW]
[ROW][C]0.41[/C][C]92.4661640294356[/C][C]1.70125124554367[/C][/ROW]
[ROW][C]0.42[/C][C]92.7898987355132[/C][C]1.77609474292685[/C][/ROW]
[ROW][C]0.43[/C][C]93.1263936690872[/C][C]1.86295701916746[/C][/ROW]
[ROW][C]0.44[/C][C]93.476879185399[/C][C]1.95716292970602[/C][/ROW]
[ROW][C]0.45[/C][C]93.8416392040009[/C][C]2.05092332754138[/C][/ROW]
[ROW][C]0.46[/C][C]94.2196569609589[/C][C]2.1346238671061[/C][/ROW]
[ROW][C]0.47[/C][C]94.6084231525167[/C][C]2.19862214440682[/C][/ROW]
[ROW][C]0.48[/C][C]95.003951647562[/C][C]2.23372428461726[/C][/ROW]
[ROW][C]0.49[/C][C]95.4010134905366[/C][C]2.23364948328072[/C][/ROW]
[ROW][C]0.5[/C][C]95.7935619032387[/C][C]2.19441948068605[/C][/ROW]
[ROW][C]0.51[/C][C]96.1752871041797[/C][C]2.11656490881591[/C][/ROW]
[ROW][C]0.52[/C][C]96.5402171379293[/C][C]2.00385543128239[/C][/ROW]
[ROW][C]0.53[/C][C]96.8832743640024[/C][C]1.86314692925466[/C][/ROW]
[ROW][C]0.54[/C][C]97.2007080271509[/C][C]1.70356425531334[/C][/ROW]
[ROW][C]0.55[/C][C]97.4903487075034[/C][C]1.535123768667[/C][/ROW]
[ROW][C]0.56[/C][C]97.7516644685568[/C][C]1.36782732555335[/C][/ROW]
[ROW][C]0.57[/C][C]97.9856335213006[/C][C]1.21021954129608[/C][/ROW]
[ROW][C]0.58[/C][C]98.1944767915364[/C][C]1.06901098488725[/C][/ROW]
[ROW][C]0.59[/C][C]98.3813105399641[/C][C]0.948583109895616[/C][/ROW]
[ROW][C]0.6[/C][C]98.5497819407706[/C][C]0.851075963344882[/C][/ROW]
[ROW][C]0.61[/C][C]98.7037404790054[/C][C]0.776238741462915[/C][/ROW]
[ROW][C]0.62[/C][C]98.8469791418299[/C][C]0.723017133516337[/C][/ROW]
[ROW][C]0.63[/C][C]98.9830571215517[/C][C]0.688752551739121[/C][/ROW]
[ROW][C]0.64[/C][C]99.1151956377537[/C][C]0.671175693995738[/C][/ROW]
[ROW][C]0.65[/C][C]99.246224822575[/C][C]0.667700601194596[/C][/ROW]
[ROW][C]0.66[/C][C]99.3785546694951[/C][C]0.675807873867441[/C][/ROW]
[ROW][C]0.67[/C][C]99.5141468178724[/C][C]0.693004675350426[/C][/ROW]
[ROW][C]0.68[/C][C]99.6544744203151[/C][C]0.716700206927992[/C][/ROW]
[ROW][C]0.69[/C][C]99.8004711312648[/C][C]0.743694672756973[/C][/ROW]
[ROW][C]0.7[/C][C]99.952483423704[/C][C]0.77060902862498[/C][/ROW]
[ROW][C]0.71[/C][C]100.1102493359[/C][C]0.794182952213086[/C][/ROW]
[ROW][C]0.72[/C][C]100.272928743983[/C][C]0.811143140956965[/C][/ROW]
[ROW][C]0.73[/C][C]100.439204281985[/C][C]0.819149757747668[/C][/ROW]
[ROW][C]0.74[/C][C]100.607458857719[/C][C]0.816738320502155[/C][/ROW]
[ROW][C]0.75[/C][C]100.776017911645[/C][C]0.804151696840242[/C][/ROW]
[ROW][C]0.76[/C][C]100.94342614517[/C][C]0.782903069424955[/C][/ROW]
[ROW][C]0.77[/C][C]101.108714162724[/C][C]0.756158647089234[/C][/ROW]
[ROW][C]0.78[/C][C]101.271604865467[/C][C]0.727896953910369[/C][/ROW]
[ROW][C]0.79[/C][C]101.432615634973[/C][C]0.702606031727148[/C][/ROW]
[ROW][C]0.8[/C][C]101.593030811043[/C][C]0.684370416629726[/C][/ROW]
[ROW][C]0.81[/C][C]101.754746423023[/C][C]0.675712549988497[/C][/ROW]
[ROW][C]0.82[/C][C]101.92001829063[/C][C]0.677508683485956[/C][/ROW]
[ROW][C]0.83[/C][C]102.091165527478[/C][C]0.688566496513477[/C][/ROW]
[ROW][C]0.84[/C][C]102.270285285203[/C][C]0.706137217396329[/C][/ROW]
[ROW][C]0.85[/C][C]102.459019187733[/C][C]0.727083402580644[/C][/ROW]
[ROW][C]0.86[/C][C]102.658387200174[/C][C]0.747997934718711[/C][/ROW]
[ROW][C]0.87[/C][C]102.868692090645[/C][C]0.765969887307379[/C][/ROW]
[ROW][C]0.88[/C][C]103.089518903949[/C][C]0.777887309897378[/C][/ROW]
[ROW][C]0.89[/C][C]103.319908351033[/C][C]0.781044202336708[/C][/ROW]
[ROW][C]0.9[/C][C]103.55882425723[/C][C]0.773536148459895[/C][/ROW]
[ROW][C]0.91[/C][C]103.805970312617[/C][C]0.756422220833869[/C][/ROW]
[ROW][C]0.92[/C][C]104.062751857295[/C][C]0.735483659037697[/C][/ROW]
[ROW][C]0.93[/C][C]104.332751541112[/C][C]0.720526138514559[/C][/ROW]
[ROW][C]0.94[/C][C]104.620758874149[/C][C]0.718834969395636[/C][/ROW]
[ROW][C]0.95[/C][C]104.92965300699[/C][C]0.723903597109036[/C][/ROW]
[ROW][C]0.96[/C][C]105.255621337799[/C][C]0.709611860313146[/C][/ROW]
[ROW][C]0.97[/C][C]105.583703757234[/C][C]0.641782652482309[/C][/ROW]
[ROW][C]0.98[/C][C]105.88576277711[/C][C]0.507406364942145[/C][/ROW]
[ROW][C]0.99[/C][C]106.121805784532[/C][C]0.351017342620379[/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
0.0178.77146641042470.894534559485023
0.0279.45768140738241.73887662728261
0.0380.40420376761942.13552257820342
0.0481.41211766047782.06482923528191
0.0582.32147650105481.74493260198321
0.0683.06103557557171.38889333082314
0.0783.63356154067731.11891164868277
0.0884.07863389310130.969903521146345
0.0984.44209711644970.919795285994413
0.184.76050915568140.926647108538351
0.1185.05734001597860.956889566810571
0.1285.34510713807420.991358281225293
0.1385.62914490914941.02226742083236
0.1485.91085612061291.04689702451228
0.1586.18980734900371.0647026697974
0.1686.46479566866181.07489260566532
0.1786.73427158972841.07606284718638
0.1886.99649224755721.06628938536702
0.1987.24965642775691.04493469537755
0.287.49212887154711.01285591871312
0.2187.72274484227940.97327190710439
0.2287.94111976337280.931230706778597
0.2388.14787450331270.893092658865017
0.2488.34471112511390.865234562132573
0.2588.53431636316780.85317542888453
0.2688.7201119974910.860974818499565
0.2788.90590079887140.88953214245836
0.2889.09547000633680.937342165654073
0.2989.29221355884971.00085812883092
0.389.49882439528581.07503482965084
0.3189.71709374037541.15413185712689
0.3289.94783843621531.23283995458396
0.3390.19096134949071.306517286678
0.3490.44563401390481.37186797113742
0.3590.71057530027331.42735609574827
0.3690.98438607247681.47379073502925
0.3791.26588933674661.51348386599152
0.3891.55442062786551.55097620655224
0.3991.85001636864491.59157694811226
0.492.15345977153371.64026856951864
0.4192.46616402943561.70125124554367
0.4292.78989873551321.77609474292685
0.4393.12639366908721.86295701916746
0.4493.4768791853991.95716292970602
0.4593.84163920400092.05092332754138
0.4694.21965696095892.1346238671061
0.4794.60842315251672.19862214440682
0.4895.0039516475622.23372428461726
0.4995.40101349053662.23364948328072
0.595.79356190323872.19441948068605
0.5196.17528710417972.11656490881591
0.5296.54021713792932.00385543128239
0.5396.88327436400241.86314692925466
0.5497.20070802715091.70356425531334
0.5597.49034870750341.535123768667
0.5697.75166446855681.36782732555335
0.5797.98563352130061.21021954129608
0.5898.19447679153641.06901098488725
0.5998.38131053996410.948583109895616
0.698.54978194077060.851075963344882
0.6198.70374047900540.776238741462915
0.6298.84697914182990.723017133516337
0.6398.98305712155170.688752551739121
0.6499.11519563775370.671175693995738
0.6599.2462248225750.667700601194596
0.6699.37855466949510.675807873867441
0.6799.51414681787240.693004675350426
0.6899.65447442031510.716700206927992
0.6999.80047113126480.743694672756973
0.799.9524834237040.77060902862498
0.71100.11024933590.794182952213086
0.72100.2729287439830.811143140956965
0.73100.4392042819850.819149757747668
0.74100.6074588577190.816738320502155
0.75100.7760179116450.804151696840242
0.76100.943426145170.782903069424955
0.77101.1087141627240.756158647089234
0.78101.2716048654670.727896953910369
0.79101.4326156349730.702606031727148
0.8101.5930308110430.684370416629726
0.81101.7547464230230.675712549988497
0.82101.920018290630.677508683485956
0.83102.0911655274780.688566496513477
0.84102.2702852852030.706137217396329
0.85102.4590191877330.727083402580644
0.86102.6583872001740.747997934718711
0.87102.8686920906450.765969887307379
0.88103.0895189039490.777887309897378
0.89103.3199083510330.781044202336708
0.9103.558824257230.773536148459895
0.91103.8059703126170.756422220833869
0.92104.0627518572950.735483659037697
0.93104.3327515411120.720526138514559
0.94104.6207588741490.718834969395636
0.95104.929653006990.723903597109036
0.96105.2556213377990.709611860313146
0.97105.5837037572340.641782652482309
0.98105.885762777110.507406364942145
0.99106.1218057845320.351017342620379


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')