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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 computationSat, 01 Mar 2008 05:45:44 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/01/t1204375603rsnfp4wh3x379ga.htm/, Retrieved Fri, 17 May 2024 21:56:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9348, Retrieved Fri, 17 May 2024 21:56:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact245

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] [percentielen inkt...] [2008-03-01 12:45:44] [10bf337d6aaebcf0c700ebf73b3b2ad5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
58.1
57.9
57.3
55.9
55
55.9
56.6
57.3
56.2
57.7
56.8
57.9
58.3
58.2
56.9
57.1
56.7
54.2
54.2
52.1
51.5
51.8
53
52.4
52.41
52.36
52.94
52.34
51.84
51.42
50.85
50.66
51.53
51.59
52.32
51.98
51.17
50.57
49.84
50.12
49.08
48.57
47.22
46.78
46.04
45.05
44.42
44.09
44.46
44.34
43.04
42.87
42.32
42.49
41.94
41.6
41.42
41.12
41.28
40.21
39.69
39.16
38.8
38.44
37.02
36.75
35.95
36.29
36.35
36.07
36.6
36.5

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9348&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9348&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9348&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0136.00058336566550.138933540280859
0.0236.08664023284240.170609400012493
0.0336.18941127970990.200111717378508
0.0436.30003632333150.240821030776525
0.0536.42117008903260.315230217567732
0.0636.56221395143960.433056158270307
0.0736.73414313561380.588888632249726
0.0836.94552544241650.767415539195752
0.0937.20009400248960.947991115212762
0.137.49597368975211.11048227679657
0.1137.82640277644871.23991929424968
0.1238.18147151788371.32954299512918
0.1338.55019648034761.38012053358611
0.1438.92229881837741.39740152953392
0.1539.28932505476241.38887474441736
0.1639.64507983424611.36167019107747
0.1739.98557012531011.32177565730671
0.1840.30872278671271.27455316257633
0.1940.61406837678601.22523489212990
0.240.90246858641251.17934264847686
0.2141.17587614298311.14216551801788
0.2241.43708509454211.11821438278429
0.2341.68944647062581.11024540561432
0.2441.9365605671031.11890217943834
0.2542.18198556637531.14329916911289
0.2642.42900922061541.18127386805004
0.2742.68051625094731.23044473311078
0.2842.93895789472561.28882413338023
0.2943.20640273587711.35507807880330
0.343.48462833312641.42881202356924
0.3143.77520587441951.50998892376550
0.3244.07953577732921.59869492012192
0.3344.39880835665951.69404732904627
0.3444.73388588622411.79418836291398
0.3545.08512512931441.89573125386389
0.3645.45217739898191.99371451870315
0.3745.83381239782162.08227336550064
0.3846.22781059087422.15519308774529
0.3946.63095734238692.20661625849193
0.447.03915344392662.23171214883771
0.4147.44763536917632.22734205902029
0.4247.85127928224582.19236940651662
0.4348.24494932807742.12788049981858
0.4448.62384524122872.03667341851979
0.4548.98380710120351.92334347274061
0.4649.32154469906291.79342174457520
0.4749.63477285350031.6530281032237
0.4849.92224905922371.50798447501001
0.4950.18372323418581.36398675276816
0.550.41981899312661.22543045828315
0.5150.63187082306461.09585836707863
0.5250.82174189135670.97791111978205
0.5350.99164400218140.872878681933158
0.5451.14397597566980.7814541416133
0.5551.28119105460510.703526030772045
0.5651.40569907773170.638703492332907
0.5751.51980568105830.586036313947547
0.5851.62568857436220.544749936494287
0.5951.72540931628980.514020135624267
0.651.82095708819380.493201790545174
0.6151.91431803756530.482419331405316
0.6252.00755964874260.482069024661431
0.6352.1029148348140.493273820661067
0.6452.20284622845590.517541759699054
0.6552.31006906515830.556553120440883
0.6652.4275126209640.611253348264699
0.6752.55820634156110.681683538938178
0.6852.70508754644320.766518404406622
0.6952.87074168734940.862782646558664
0.753.05710126525480.96597788067473
0.7153.26514264616041.07020769725691
0.7253.49462806570541.16858871785207
0.7353.74394061105681.25396901335919
0.7454.01005172279221.31941413486163
0.7554.28864427360821.35942766057516
0.7654.57439185382111.37010146520548
0.7754.86137032758721.35005478915286
0.7855.14355563670951.30043318794043
0.7955.41534666527071.22502941359475
0.855.67204692738751.12951014867396
0.8155.91024497228191.02108968626659
0.8256.1280493092710.907548158667617
0.8356.32515571484080.796366750313783
0.8456.50274790263550.69403369886465
0.8556.66325125531590.605634193852714
0.8656.80996940773760.534182410814018
0.8756.94663443014350.480662612633196
0.8857.07689937710910.443654798000177
0.8957.203810493780.419480671954821
0.957.32932890330820.402572615598155
0.9157.45402373942280.386282835320653
0.9257.577089101340.364573164452767
0.9357.69677549960370.33403889696304
0.9457.81113553486570.295359788706435
0.9557.91874765440490.252870390807668
0.9658.01898593461920.211106696904519
0.9758.11147831724720.171301411923133
0.9858.19435986782480.133967424082222
0.9958.26120761326570.107012405635067

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 36.0005833656655 & 0.138933540280859 \tabularnewline
0.02 & 36.0866402328424 & 0.170609400012493 \tabularnewline
0.03 & 36.1894112797099 & 0.200111717378508 \tabularnewline
0.04 & 36.3000363233315 & 0.240821030776525 \tabularnewline
0.05 & 36.4211700890326 & 0.315230217567732 \tabularnewline
0.06 & 36.5622139514396 & 0.433056158270307 \tabularnewline
0.07 & 36.7341431356138 & 0.588888632249726 \tabularnewline
0.08 & 36.9455254424165 & 0.767415539195752 \tabularnewline
0.09 & 37.2000940024896 & 0.947991115212762 \tabularnewline
0.1 & 37.4959736897521 & 1.11048227679657 \tabularnewline
0.11 & 37.8264027764487 & 1.23991929424968 \tabularnewline
0.12 & 38.1814715178837 & 1.32954299512918 \tabularnewline
0.13 & 38.5501964803476 & 1.38012053358611 \tabularnewline
0.14 & 38.9222988183774 & 1.39740152953392 \tabularnewline
0.15 & 39.2893250547624 & 1.38887474441736 \tabularnewline
0.16 & 39.6450798342461 & 1.36167019107747 \tabularnewline
0.17 & 39.9855701253101 & 1.32177565730671 \tabularnewline
0.18 & 40.3087227867127 & 1.27455316257633 \tabularnewline
0.19 & 40.6140683767860 & 1.22523489212990 \tabularnewline
0.2 & 40.9024685864125 & 1.17934264847686 \tabularnewline
0.21 & 41.1758761429831 & 1.14216551801788 \tabularnewline
0.22 & 41.4370850945421 & 1.11821438278429 \tabularnewline
0.23 & 41.6894464706258 & 1.11024540561432 \tabularnewline
0.24 & 41.936560567103 & 1.11890217943834 \tabularnewline
0.25 & 42.1819855663753 & 1.14329916911289 \tabularnewline
0.26 & 42.4290092206154 & 1.18127386805004 \tabularnewline
0.27 & 42.6805162509473 & 1.23044473311078 \tabularnewline
0.28 & 42.9389578947256 & 1.28882413338023 \tabularnewline
0.29 & 43.2064027358771 & 1.35507807880330 \tabularnewline
0.3 & 43.4846283331264 & 1.42881202356924 \tabularnewline
0.31 & 43.7752058744195 & 1.50998892376550 \tabularnewline
0.32 & 44.0795357773292 & 1.59869492012192 \tabularnewline
0.33 & 44.3988083566595 & 1.69404732904627 \tabularnewline
0.34 & 44.7338858862241 & 1.79418836291398 \tabularnewline
0.35 & 45.0851251293144 & 1.89573125386389 \tabularnewline
0.36 & 45.4521773989819 & 1.99371451870315 \tabularnewline
0.37 & 45.8338123978216 & 2.08227336550064 \tabularnewline
0.38 & 46.2278105908742 & 2.15519308774529 \tabularnewline
0.39 & 46.6309573423869 & 2.20661625849193 \tabularnewline
0.4 & 47.0391534439266 & 2.23171214883771 \tabularnewline
0.41 & 47.4476353691763 & 2.22734205902029 \tabularnewline
0.42 & 47.8512792822458 & 2.19236940651662 \tabularnewline
0.43 & 48.2449493280774 & 2.12788049981858 \tabularnewline
0.44 & 48.6238452412287 & 2.03667341851979 \tabularnewline
0.45 & 48.9838071012035 & 1.92334347274061 \tabularnewline
0.46 & 49.3215446990629 & 1.79342174457520 \tabularnewline
0.47 & 49.6347728535003 & 1.6530281032237 \tabularnewline
0.48 & 49.9222490592237 & 1.50798447501001 \tabularnewline
0.49 & 50.1837232341858 & 1.36398675276816 \tabularnewline
0.5 & 50.4198189931266 & 1.22543045828315 \tabularnewline
0.51 & 50.6318708230646 & 1.09585836707863 \tabularnewline
0.52 & 50.8217418913567 & 0.97791111978205 \tabularnewline
0.53 & 50.9916440021814 & 0.872878681933158 \tabularnewline
0.54 & 51.1439759756698 & 0.7814541416133 \tabularnewline
0.55 & 51.2811910546051 & 0.703526030772045 \tabularnewline
0.56 & 51.4056990777317 & 0.638703492332907 \tabularnewline
0.57 & 51.5198056810583 & 0.586036313947547 \tabularnewline
0.58 & 51.6256885743622 & 0.544749936494287 \tabularnewline
0.59 & 51.7254093162898 & 0.514020135624267 \tabularnewline
0.6 & 51.8209570881938 & 0.493201790545174 \tabularnewline
0.61 & 51.9143180375653 & 0.482419331405316 \tabularnewline
0.62 & 52.0075596487426 & 0.482069024661431 \tabularnewline
0.63 & 52.102914834814 & 0.493273820661067 \tabularnewline
0.64 & 52.2028462284559 & 0.517541759699054 \tabularnewline
0.65 & 52.3100690651583 & 0.556553120440883 \tabularnewline
0.66 & 52.427512620964 & 0.611253348264699 \tabularnewline
0.67 & 52.5582063415611 & 0.681683538938178 \tabularnewline
0.68 & 52.7050875464432 & 0.766518404406622 \tabularnewline
0.69 & 52.8707416873494 & 0.862782646558664 \tabularnewline
0.7 & 53.0571012652548 & 0.96597788067473 \tabularnewline
0.71 & 53.2651426461604 & 1.07020769725691 \tabularnewline
0.72 & 53.4946280657054 & 1.16858871785207 \tabularnewline
0.73 & 53.7439406110568 & 1.25396901335919 \tabularnewline
0.74 & 54.0100517227922 & 1.31941413486163 \tabularnewline
0.75 & 54.2886442736082 & 1.35942766057516 \tabularnewline
0.76 & 54.5743918538211 & 1.37010146520548 \tabularnewline
0.77 & 54.8613703275872 & 1.35005478915286 \tabularnewline
0.78 & 55.1435556367095 & 1.30043318794043 \tabularnewline
0.79 & 55.4153466652707 & 1.22502941359475 \tabularnewline
0.8 & 55.6720469273875 & 1.12951014867396 \tabularnewline
0.81 & 55.9102449722819 & 1.02108968626659 \tabularnewline
0.82 & 56.128049309271 & 0.907548158667617 \tabularnewline
0.83 & 56.3251557148408 & 0.796366750313783 \tabularnewline
0.84 & 56.5027479026355 & 0.69403369886465 \tabularnewline
0.85 & 56.6632512553159 & 0.605634193852714 \tabularnewline
0.86 & 56.8099694077376 & 0.534182410814018 \tabularnewline
0.87 & 56.9466344301435 & 0.480662612633196 \tabularnewline
0.88 & 57.0768993771091 & 0.443654798000177 \tabularnewline
0.89 & 57.20381049378 & 0.419480671954821 \tabularnewline
0.9 & 57.3293289033082 & 0.402572615598155 \tabularnewline
0.91 & 57.4540237394228 & 0.386282835320653 \tabularnewline
0.92 & 57.57708910134 & 0.364573164452767 \tabularnewline
0.93 & 57.6967754996037 & 0.33403889696304 \tabularnewline
0.94 & 57.8111355348657 & 0.295359788706435 \tabularnewline
0.95 & 57.9187476544049 & 0.252870390807668 \tabularnewline
0.96 & 58.0189859346192 & 0.211106696904519 \tabularnewline
0.97 & 58.1114783172472 & 0.171301411923133 \tabularnewline
0.98 & 58.1943598678248 & 0.133967424082222 \tabularnewline
0.99 & 58.2612076132657 & 0.107012405635067 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9348&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]36.0005833656655[/C][C]0.138933540280859[/C][/ROW]
[ROW][C]0.02[/C][C]36.0866402328424[/C][C]0.170609400012493[/C][/ROW]
[ROW][C]0.03[/C][C]36.1894112797099[/C][C]0.200111717378508[/C][/ROW]
[ROW][C]0.04[/C][C]36.3000363233315[/C][C]0.240821030776525[/C][/ROW]
[ROW][C]0.05[/C][C]36.4211700890326[/C][C]0.315230217567732[/C][/ROW]
[ROW][C]0.06[/C][C]36.5622139514396[/C][C]0.433056158270307[/C][/ROW]
[ROW][C]0.07[/C][C]36.7341431356138[/C][C]0.588888632249726[/C][/ROW]
[ROW][C]0.08[/C][C]36.9455254424165[/C][C]0.767415539195752[/C][/ROW]
[ROW][C]0.09[/C][C]37.2000940024896[/C][C]0.947991115212762[/C][/ROW]
[ROW][C]0.1[/C][C]37.4959736897521[/C][C]1.11048227679657[/C][/ROW]
[ROW][C]0.11[/C][C]37.8264027764487[/C][C]1.23991929424968[/C][/ROW]
[ROW][C]0.12[/C][C]38.1814715178837[/C][C]1.32954299512918[/C][/ROW]
[ROW][C]0.13[/C][C]38.5501964803476[/C][C]1.38012053358611[/C][/ROW]
[ROW][C]0.14[/C][C]38.9222988183774[/C][C]1.39740152953392[/C][/ROW]
[ROW][C]0.15[/C][C]39.2893250547624[/C][C]1.38887474441736[/C][/ROW]
[ROW][C]0.16[/C][C]39.6450798342461[/C][C]1.36167019107747[/C][/ROW]
[ROW][C]0.17[/C][C]39.9855701253101[/C][C]1.32177565730671[/C][/ROW]
[ROW][C]0.18[/C][C]40.3087227867127[/C][C]1.27455316257633[/C][/ROW]
[ROW][C]0.19[/C][C]40.6140683767860[/C][C]1.22523489212990[/C][/ROW]
[ROW][C]0.2[/C][C]40.9024685864125[/C][C]1.17934264847686[/C][/ROW]
[ROW][C]0.21[/C][C]41.1758761429831[/C][C]1.14216551801788[/C][/ROW]
[ROW][C]0.22[/C][C]41.4370850945421[/C][C]1.11821438278429[/C][/ROW]
[ROW][C]0.23[/C][C]41.6894464706258[/C][C]1.11024540561432[/C][/ROW]
[ROW][C]0.24[/C][C]41.936560567103[/C][C]1.11890217943834[/C][/ROW]
[ROW][C]0.25[/C][C]42.1819855663753[/C][C]1.14329916911289[/C][/ROW]
[ROW][C]0.26[/C][C]42.4290092206154[/C][C]1.18127386805004[/C][/ROW]
[ROW][C]0.27[/C][C]42.6805162509473[/C][C]1.23044473311078[/C][/ROW]
[ROW][C]0.28[/C][C]42.9389578947256[/C][C]1.28882413338023[/C][/ROW]
[ROW][C]0.29[/C][C]43.2064027358771[/C][C]1.35507807880330[/C][/ROW]
[ROW][C]0.3[/C][C]43.4846283331264[/C][C]1.42881202356924[/C][/ROW]
[ROW][C]0.31[/C][C]43.7752058744195[/C][C]1.50998892376550[/C][/ROW]
[ROW][C]0.32[/C][C]44.0795357773292[/C][C]1.59869492012192[/C][/ROW]
[ROW][C]0.33[/C][C]44.3988083566595[/C][C]1.69404732904627[/C][/ROW]
[ROW][C]0.34[/C][C]44.7338858862241[/C][C]1.79418836291398[/C][/ROW]
[ROW][C]0.35[/C][C]45.0851251293144[/C][C]1.89573125386389[/C][/ROW]
[ROW][C]0.36[/C][C]45.4521773989819[/C][C]1.99371451870315[/C][/ROW]
[ROW][C]0.37[/C][C]45.8338123978216[/C][C]2.08227336550064[/C][/ROW]
[ROW][C]0.38[/C][C]46.2278105908742[/C][C]2.15519308774529[/C][/ROW]
[ROW][C]0.39[/C][C]46.6309573423869[/C][C]2.20661625849193[/C][/ROW]
[ROW][C]0.4[/C][C]47.0391534439266[/C][C]2.23171214883771[/C][/ROW]
[ROW][C]0.41[/C][C]47.4476353691763[/C][C]2.22734205902029[/C][/ROW]
[ROW][C]0.42[/C][C]47.8512792822458[/C][C]2.19236940651662[/C][/ROW]
[ROW][C]0.43[/C][C]48.2449493280774[/C][C]2.12788049981858[/C][/ROW]
[ROW][C]0.44[/C][C]48.6238452412287[/C][C]2.03667341851979[/C][/ROW]
[ROW][C]0.45[/C][C]48.9838071012035[/C][C]1.92334347274061[/C][/ROW]
[ROW][C]0.46[/C][C]49.3215446990629[/C][C]1.79342174457520[/C][/ROW]
[ROW][C]0.47[/C][C]49.6347728535003[/C][C]1.6530281032237[/C][/ROW]
[ROW][C]0.48[/C][C]49.9222490592237[/C][C]1.50798447501001[/C][/ROW]
[ROW][C]0.49[/C][C]50.1837232341858[/C][C]1.36398675276816[/C][/ROW]
[ROW][C]0.5[/C][C]50.4198189931266[/C][C]1.22543045828315[/C][/ROW]
[ROW][C]0.51[/C][C]50.6318708230646[/C][C]1.09585836707863[/C][/ROW]
[ROW][C]0.52[/C][C]50.8217418913567[/C][C]0.97791111978205[/C][/ROW]
[ROW][C]0.53[/C][C]50.9916440021814[/C][C]0.872878681933158[/C][/ROW]
[ROW][C]0.54[/C][C]51.1439759756698[/C][C]0.7814541416133[/C][/ROW]
[ROW][C]0.55[/C][C]51.2811910546051[/C][C]0.703526030772045[/C][/ROW]
[ROW][C]0.56[/C][C]51.4056990777317[/C][C]0.638703492332907[/C][/ROW]
[ROW][C]0.57[/C][C]51.5198056810583[/C][C]0.586036313947547[/C][/ROW]
[ROW][C]0.58[/C][C]51.6256885743622[/C][C]0.544749936494287[/C][/ROW]
[ROW][C]0.59[/C][C]51.7254093162898[/C][C]0.514020135624267[/C][/ROW]
[ROW][C]0.6[/C][C]51.8209570881938[/C][C]0.493201790545174[/C][/ROW]
[ROW][C]0.61[/C][C]51.9143180375653[/C][C]0.482419331405316[/C][/ROW]
[ROW][C]0.62[/C][C]52.0075596487426[/C][C]0.482069024661431[/C][/ROW]
[ROW][C]0.63[/C][C]52.102914834814[/C][C]0.493273820661067[/C][/ROW]
[ROW][C]0.64[/C][C]52.2028462284559[/C][C]0.517541759699054[/C][/ROW]
[ROW][C]0.65[/C][C]52.3100690651583[/C][C]0.556553120440883[/C][/ROW]
[ROW][C]0.66[/C][C]52.427512620964[/C][C]0.611253348264699[/C][/ROW]
[ROW][C]0.67[/C][C]52.5582063415611[/C][C]0.681683538938178[/C][/ROW]
[ROW][C]0.68[/C][C]52.7050875464432[/C][C]0.766518404406622[/C][/ROW]
[ROW][C]0.69[/C][C]52.8707416873494[/C][C]0.862782646558664[/C][/ROW]
[ROW][C]0.7[/C][C]53.0571012652548[/C][C]0.96597788067473[/C][/ROW]
[ROW][C]0.71[/C][C]53.2651426461604[/C][C]1.07020769725691[/C][/ROW]
[ROW][C]0.72[/C][C]53.4946280657054[/C][C]1.16858871785207[/C][/ROW]
[ROW][C]0.73[/C][C]53.7439406110568[/C][C]1.25396901335919[/C][/ROW]
[ROW][C]0.74[/C][C]54.0100517227922[/C][C]1.31941413486163[/C][/ROW]
[ROW][C]0.75[/C][C]54.2886442736082[/C][C]1.35942766057516[/C][/ROW]
[ROW][C]0.76[/C][C]54.5743918538211[/C][C]1.37010146520548[/C][/ROW]
[ROW][C]0.77[/C][C]54.8613703275872[/C][C]1.35005478915286[/C][/ROW]
[ROW][C]0.78[/C][C]55.1435556367095[/C][C]1.30043318794043[/C][/ROW]
[ROW][C]0.79[/C][C]55.4153466652707[/C][C]1.22502941359475[/C][/ROW]
[ROW][C]0.8[/C][C]55.6720469273875[/C][C]1.12951014867396[/C][/ROW]
[ROW][C]0.81[/C][C]55.9102449722819[/C][C]1.02108968626659[/C][/ROW]
[ROW][C]0.82[/C][C]56.128049309271[/C][C]0.907548158667617[/C][/ROW]
[ROW][C]0.83[/C][C]56.3251557148408[/C][C]0.796366750313783[/C][/ROW]
[ROW][C]0.84[/C][C]56.5027479026355[/C][C]0.69403369886465[/C][/ROW]
[ROW][C]0.85[/C][C]56.6632512553159[/C][C]0.605634193852714[/C][/ROW]
[ROW][C]0.86[/C][C]56.8099694077376[/C][C]0.534182410814018[/C][/ROW]
[ROW][C]0.87[/C][C]56.9466344301435[/C][C]0.480662612633196[/C][/ROW]
[ROW][C]0.88[/C][C]57.0768993771091[/C][C]0.443654798000177[/C][/ROW]
[ROW][C]0.89[/C][C]57.20381049378[/C][C]0.419480671954821[/C][/ROW]
[ROW][C]0.9[/C][C]57.3293289033082[/C][C]0.402572615598155[/C][/ROW]
[ROW][C]0.91[/C][C]57.4540237394228[/C][C]0.386282835320653[/C][/ROW]
[ROW][C]0.92[/C][C]57.57708910134[/C][C]0.364573164452767[/C][/ROW]
[ROW][C]0.93[/C][C]57.6967754996037[/C][C]0.33403889696304[/C][/ROW]
[ROW][C]0.94[/C][C]57.8111355348657[/C][C]0.295359788706435[/C][/ROW]
[ROW][C]0.95[/C][C]57.9187476544049[/C][C]0.252870390807668[/C][/ROW]
[ROW][C]0.96[/C][C]58.0189859346192[/C][C]0.211106696904519[/C][/ROW]
[ROW][C]0.97[/C][C]58.1114783172472[/C][C]0.171301411923133[/C][/ROW]
[ROW][C]0.98[/C][C]58.1943598678248[/C][C]0.133967424082222[/C][/ROW]
[ROW][C]0.99[/C][C]58.2612076132657[/C][C]0.107012405635067[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9348&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9348&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
0.0136.00058336566550.138933540280859
0.0236.08664023284240.170609400012493
0.0336.18941127970990.200111717378508
0.0436.30003632333150.240821030776525
0.0536.42117008903260.315230217567732
0.0636.56221395143960.433056158270307
0.0736.73414313561380.588888632249726
0.0836.94552544241650.767415539195752
0.0937.20009400248960.947991115212762
0.137.49597368975211.11048227679657
0.1137.82640277644871.23991929424968
0.1238.18147151788371.32954299512918
0.1338.55019648034761.38012053358611
0.1438.92229881837741.39740152953392
0.1539.28932505476241.38887474441736
0.1639.64507983424611.36167019107747
0.1739.98557012531011.32177565730671
0.1840.30872278671271.27455316257633
0.1940.61406837678601.22523489212990
0.240.90246858641251.17934264847686
0.2141.17587614298311.14216551801788
0.2241.43708509454211.11821438278429
0.2341.68944647062581.11024540561432
0.2441.9365605671031.11890217943834
0.2542.18198556637531.14329916911289
0.2642.42900922061541.18127386805004
0.2742.68051625094731.23044473311078
0.2842.93895789472561.28882413338023
0.2943.20640273587711.35507807880330
0.343.48462833312641.42881202356924
0.3143.77520587441951.50998892376550
0.3244.07953577732921.59869492012192
0.3344.39880835665951.69404732904627
0.3444.73388588622411.79418836291398
0.3545.08512512931441.89573125386389
0.3645.45217739898191.99371451870315
0.3745.83381239782162.08227336550064
0.3846.22781059087422.15519308774529
0.3946.63095734238692.20661625849193
0.447.03915344392662.23171214883771
0.4147.44763536917632.22734205902029
0.4247.85127928224582.19236940651662
0.4348.24494932807742.12788049981858
0.4448.62384524122872.03667341851979
0.4548.98380710120351.92334347274061
0.4649.32154469906291.79342174457520
0.4749.63477285350031.6530281032237
0.4849.92224905922371.50798447501001
0.4950.18372323418581.36398675276816
0.550.41981899312661.22543045828315
0.5150.63187082306461.09585836707863
0.5250.82174189135670.97791111978205
0.5350.99164400218140.872878681933158
0.5451.14397597566980.7814541416133
0.5551.28119105460510.703526030772045
0.5651.40569907773170.638703492332907
0.5751.51980568105830.586036313947547
0.5851.62568857436220.544749936494287
0.5951.72540931628980.514020135624267
0.651.82095708819380.493201790545174
0.6151.91431803756530.482419331405316
0.6252.00755964874260.482069024661431
0.6352.1029148348140.493273820661067
0.6452.20284622845590.517541759699054
0.6552.31006906515830.556553120440883
0.6652.4275126209640.611253348264699
0.6752.55820634156110.681683538938178
0.6852.70508754644320.766518404406622
0.6952.87074168734940.862782646558664
0.753.05710126525480.96597788067473
0.7153.26514264616041.07020769725691
0.7253.49462806570541.16858871785207
0.7353.74394061105681.25396901335919
0.7454.01005172279221.31941413486163
0.7554.28864427360821.35942766057516
0.7654.57439185382111.37010146520548
0.7754.86137032758721.35005478915286
0.7855.14355563670951.30043318794043
0.7955.41534666527071.22502941359475
0.855.67204692738751.12951014867396
0.8155.91024497228191.02108968626659
0.8256.1280493092710.907548158667617
0.8356.32515571484080.796366750313783
0.8456.50274790263550.69403369886465
0.8556.66325125531590.605634193852714
0.8656.80996940773760.534182410814018
0.8756.94663443014350.480662612633196
0.8857.07689937710910.443654798000177
0.8957.203810493780.419480671954821
0.957.32932890330820.402572615598155
0.9157.45402373942280.386282835320653
0.9257.577089101340.364573164452767
0.9357.69677549960370.33403889696304
0.9457.81113553486570.295359788706435
0.9557.91874765440490.252870390807668
0.9658.01898593461920.211106696904519
0.9758.11147831724720.171301411923133
0.9858.19435986782480.133967424082222
0.9958.26120761326570.107012405635067


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')