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Description of Statistical Computation

Author's title

Percentielen gemiddelde consumptieprijs Blue-jeans (dames) - Jana Clement M...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 05 Oct 2014 18:10:41 +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/05/t1412529061glnd25r7mgurf82.htm/, Retrieved Sun, 12 May 2024 10:28:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238849, Retrieved Sun, 12 May 2024 10:28:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsJana Clement
Estimated Impact91

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 gemi...] [2014-10-05 17:10:41] [1ab96e54865215824aa8065210e49a0c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
48.74
48.79
48.82
48.82
49.20
49.30
49.30
49.34
49.47
49.65
49.70
49.75
49.75
49.70
50.09
50.19
50.53
50.55
50.55
50.55
50.58
50.61
50.94
51.01
51.01
51.04
51.15
51.31
51.31
51.34
51.34
51.34
51.47
51.95
51.97
51.92
51.92
51.91
51.97
52.14
52.33
52.40
52.40
52.41
52.71
53.17
53.33
53.32
53.32
53.30
53.31
53.72
53.87
53.91
53.91
53.96
54.02
54.33
54.48
54.54
52.40
52.45
52.38
52.45
52.83
52.76
52.86
52.88
53.32
53.20
53.22
53.22

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238849&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238849&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238849&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0148.75828223151560.0508951439321533
0.0248.79181227240580.0734013954237835
0.0348.83924835760990.119493071179066
0.0448.90085127721130.170924366317722
0.0548.97498527036150.209725950699007
0.0649.05687440117190.227585420746221
0.0749.14049759787890.227435822945247
0.0849.22110466553820.218728068950043
0.0949.29646640199190.21073379809248
0.149.36663566779680.20827451981592
0.1149.43296130981190.211622299200696
0.1249.49714529016310.219044242817004
0.1349.56072006726870.229559559244998
0.1449.62491744055150.243182616119151
0.1549.69071636686570.26040046263675
0.1649.75887967801380.280789198986027
0.1749.82990474915520.302862028138683
0.1849.9039185306610.324199695853506
0.1949.98059428816590.341941671034487
0.250.05915592933370.353862429108452
0.2150.13849152808510.358721080118919
0.2250.21735012970630.356616448983945
0.2350.29456577440460.348807043157213
0.2450.36924754518220.337422279433986
0.2550.44089081280910.324880715171697
0.2650.50939278295120.313334404754539
0.2750.57498371390570.304266199153418
0.2850.63810513272440.298204900694624
0.2950.69927395740930.294827122078348
0.350.7589671605380.293275968995379
0.3150.81754927681950.292488141588012
0.3250.87524977685530.291714613454791
0.3350.93218373121310.290395420550585
0.3450.98840025578320.288550063671842
0.3551.04393995024670.286549465500849
0.3651.09888424631730.284929766709659
0.3751.15338464318440.284381607747704
0.3851.20766636089610.285478117602116
0.3951.26200739361530.288524013183161
0.451.31669917720750.293384303785538
0.4151.37199844479680.299724134752889
0.4251.42808103260050.306747341998331
0.4351.48500740384620.31356837733604
0.4451.54270675283320.319253555417283
0.4551.60098232428520.323026126130102
0.4651.6595359272120.324317276890276
0.4751.71800560088990.322941855705743
0.4851.77600798985080.319123322306176
0.4951.83317682005840.313044015183609
0.551.88919095616460.305266658868559
0.5151.94378922200690.296386603860649
0.5251.99677335228460.286683540573102
0.5352.04800382762940.27646809636636
0.5452.09739489601650.265937237382228
0.5552.14491435590340.255145391924327
0.5652.19059095795920.244418287276214
0.5752.23452849705360.234041808284881
0.5852.27692207338620.224603614505243
0.5952.31806978840890.216861923623574
0.652.35837304611360.211536048920301
0.6152.39832071759420.209187017101091
0.6252.43845608047270.210269417036182
0.6352.47932957905060.214499611589234
0.6452.52144386607950.221523471546644
0.6552.56519935296630.230389001407827
0.6652.61084823855950.240061822886197
0.6752.65846298421090.249393700895137
0.6852.70792225086070.257400158479663
0.6952.75891441886080.263088723523668
0.752.81095681618980.265756771265968
0.7152.86342807205830.264884760517326
0.7252.91561142441090.260162004478653
0.7352.96674775770680.251503996882647
0.7453.01609792054630.239105071676954
0.7553.0630139201650.223546668776724
0.7653.10701764507710.205578503474484
0.7753.14788374661120.186551454231025
0.7853.18572011458710.167976100905477
0.7953.22103484372740.15180547786376
0.853.25477283422070.140162846859711
0.8153.28829943077450.135436284603498
0.8253.32330594043870.139394076171102
0.8353.36161760270090.15230613416984
0.8453.40490403364450.172496783983655
0.8553.45432743410270.196476293623489
0.8653.51020931001370.219630105539573
0.8753.57183615488790.236997047799131
0.8853.63753457650020.244438786560252
0.8953.70510337866280.240009391474044
0.953.7725835034530.224960043359234
0.9153.83918858989090.20439656589367
0.9253.90604825963080.186681835596297
0.9353.97630120556040.180957146677895
0.9454.05411812492290.191089596846815
0.9554.14256176474180.209809513913188
0.9654.24085960011960.220690362398462
0.9754.34243072705390.20620906995623
0.9854.43518038774390.159475419959436
0.9954.50466647564110.0970720108298377

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 48.7582822315156 & 0.0508951439321533 \tabularnewline
0.02 & 48.7918122724058 & 0.0734013954237835 \tabularnewline
0.03 & 48.8392483576099 & 0.119493071179066 \tabularnewline
0.04 & 48.9008512772113 & 0.170924366317722 \tabularnewline
0.05 & 48.9749852703615 & 0.209725950699007 \tabularnewline
0.06 & 49.0568744011719 & 0.227585420746221 \tabularnewline
0.07 & 49.1404975978789 & 0.227435822945247 \tabularnewline
0.08 & 49.2211046655382 & 0.218728068950043 \tabularnewline
0.09 & 49.2964664019919 & 0.21073379809248 \tabularnewline
0.1 & 49.3666356677968 & 0.20827451981592 \tabularnewline
0.11 & 49.4329613098119 & 0.211622299200696 \tabularnewline
0.12 & 49.4971452901631 & 0.219044242817004 \tabularnewline
0.13 & 49.5607200672687 & 0.229559559244998 \tabularnewline
0.14 & 49.6249174405515 & 0.243182616119151 \tabularnewline
0.15 & 49.6907163668657 & 0.26040046263675 \tabularnewline
0.16 & 49.7588796780138 & 0.280789198986027 \tabularnewline
0.17 & 49.8299047491552 & 0.302862028138683 \tabularnewline
0.18 & 49.903918530661 & 0.324199695853506 \tabularnewline
0.19 & 49.9805942881659 & 0.341941671034487 \tabularnewline
0.2 & 50.0591559293337 & 0.353862429108452 \tabularnewline
0.21 & 50.1384915280851 & 0.358721080118919 \tabularnewline
0.22 & 50.2173501297063 & 0.356616448983945 \tabularnewline
0.23 & 50.2945657744046 & 0.348807043157213 \tabularnewline
0.24 & 50.3692475451822 & 0.337422279433986 \tabularnewline
0.25 & 50.4408908128091 & 0.324880715171697 \tabularnewline
0.26 & 50.5093927829512 & 0.313334404754539 \tabularnewline
0.27 & 50.5749837139057 & 0.304266199153418 \tabularnewline
0.28 & 50.6381051327244 & 0.298204900694624 \tabularnewline
0.29 & 50.6992739574093 & 0.294827122078348 \tabularnewline
0.3 & 50.758967160538 & 0.293275968995379 \tabularnewline
0.31 & 50.8175492768195 & 0.292488141588012 \tabularnewline
0.32 & 50.8752497768553 & 0.291714613454791 \tabularnewline
0.33 & 50.9321837312131 & 0.290395420550585 \tabularnewline
0.34 & 50.9884002557832 & 0.288550063671842 \tabularnewline
0.35 & 51.0439399502467 & 0.286549465500849 \tabularnewline
0.36 & 51.0988842463173 & 0.284929766709659 \tabularnewline
0.37 & 51.1533846431844 & 0.284381607747704 \tabularnewline
0.38 & 51.2076663608961 & 0.285478117602116 \tabularnewline
0.39 & 51.2620073936153 & 0.288524013183161 \tabularnewline
0.4 & 51.3166991772075 & 0.293384303785538 \tabularnewline
0.41 & 51.3719984447968 & 0.299724134752889 \tabularnewline
0.42 & 51.4280810326005 & 0.306747341998331 \tabularnewline
0.43 & 51.4850074038462 & 0.31356837733604 \tabularnewline
0.44 & 51.5427067528332 & 0.319253555417283 \tabularnewline
0.45 & 51.6009823242852 & 0.323026126130102 \tabularnewline
0.46 & 51.659535927212 & 0.324317276890276 \tabularnewline
0.47 & 51.7180056008899 & 0.322941855705743 \tabularnewline
0.48 & 51.7760079898508 & 0.319123322306176 \tabularnewline
0.49 & 51.8331768200584 & 0.313044015183609 \tabularnewline
0.5 & 51.8891909561646 & 0.305266658868559 \tabularnewline
0.51 & 51.9437892220069 & 0.296386603860649 \tabularnewline
0.52 & 51.9967733522846 & 0.286683540573102 \tabularnewline
0.53 & 52.0480038276294 & 0.27646809636636 \tabularnewline
0.54 & 52.0973948960165 & 0.265937237382228 \tabularnewline
0.55 & 52.1449143559034 & 0.255145391924327 \tabularnewline
0.56 & 52.1905909579592 & 0.244418287276214 \tabularnewline
0.57 & 52.2345284970536 & 0.234041808284881 \tabularnewline
0.58 & 52.2769220733862 & 0.224603614505243 \tabularnewline
0.59 & 52.3180697884089 & 0.216861923623574 \tabularnewline
0.6 & 52.3583730461136 & 0.211536048920301 \tabularnewline
0.61 & 52.3983207175942 & 0.209187017101091 \tabularnewline
0.62 & 52.4384560804727 & 0.210269417036182 \tabularnewline
0.63 & 52.4793295790506 & 0.214499611589234 \tabularnewline
0.64 & 52.5214438660795 & 0.221523471546644 \tabularnewline
0.65 & 52.5651993529663 & 0.230389001407827 \tabularnewline
0.66 & 52.6108482385595 & 0.240061822886197 \tabularnewline
0.67 & 52.6584629842109 & 0.249393700895137 \tabularnewline
0.68 & 52.7079222508607 & 0.257400158479663 \tabularnewline
0.69 & 52.7589144188608 & 0.263088723523668 \tabularnewline
0.7 & 52.8109568161898 & 0.265756771265968 \tabularnewline
0.71 & 52.8634280720583 & 0.264884760517326 \tabularnewline
0.72 & 52.9156114244109 & 0.260162004478653 \tabularnewline
0.73 & 52.9667477577068 & 0.251503996882647 \tabularnewline
0.74 & 53.0160979205463 & 0.239105071676954 \tabularnewline
0.75 & 53.063013920165 & 0.223546668776724 \tabularnewline
0.76 & 53.1070176450771 & 0.205578503474484 \tabularnewline
0.77 & 53.1478837466112 & 0.186551454231025 \tabularnewline
0.78 & 53.1857201145871 & 0.167976100905477 \tabularnewline
0.79 & 53.2210348437274 & 0.15180547786376 \tabularnewline
0.8 & 53.2547728342207 & 0.140162846859711 \tabularnewline
0.81 & 53.2882994307745 & 0.135436284603498 \tabularnewline
0.82 & 53.3233059404387 & 0.139394076171102 \tabularnewline
0.83 & 53.3616176027009 & 0.15230613416984 \tabularnewline
0.84 & 53.4049040336445 & 0.172496783983655 \tabularnewline
0.85 & 53.4543274341027 & 0.196476293623489 \tabularnewline
0.86 & 53.5102093100137 & 0.219630105539573 \tabularnewline
0.87 & 53.5718361548879 & 0.236997047799131 \tabularnewline
0.88 & 53.6375345765002 & 0.244438786560252 \tabularnewline
0.89 & 53.7051033786628 & 0.240009391474044 \tabularnewline
0.9 & 53.772583503453 & 0.224960043359234 \tabularnewline
0.91 & 53.8391885898909 & 0.20439656589367 \tabularnewline
0.92 & 53.9060482596308 & 0.186681835596297 \tabularnewline
0.93 & 53.9763012055604 & 0.180957146677895 \tabularnewline
0.94 & 54.0541181249229 & 0.191089596846815 \tabularnewline
0.95 & 54.1425617647418 & 0.209809513913188 \tabularnewline
0.96 & 54.2408596001196 & 0.220690362398462 \tabularnewline
0.97 & 54.3424307270539 & 0.20620906995623 \tabularnewline
0.98 & 54.4351803877439 & 0.159475419959436 \tabularnewline
0.99 & 54.5046664756411 & 0.0970720108298377 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238849&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]48.7582822315156[/C][C]0.0508951439321533[/C][/ROW]
[ROW][C]0.02[/C][C]48.7918122724058[/C][C]0.0734013954237835[/C][/ROW]
[ROW][C]0.03[/C][C]48.8392483576099[/C][C]0.119493071179066[/C][/ROW]
[ROW][C]0.04[/C][C]48.9008512772113[/C][C]0.170924366317722[/C][/ROW]
[ROW][C]0.05[/C][C]48.9749852703615[/C][C]0.209725950699007[/C][/ROW]
[ROW][C]0.06[/C][C]49.0568744011719[/C][C]0.227585420746221[/C][/ROW]
[ROW][C]0.07[/C][C]49.1404975978789[/C][C]0.227435822945247[/C][/ROW]
[ROW][C]0.08[/C][C]49.2211046655382[/C][C]0.218728068950043[/C][/ROW]
[ROW][C]0.09[/C][C]49.2964664019919[/C][C]0.21073379809248[/C][/ROW]
[ROW][C]0.1[/C][C]49.3666356677968[/C][C]0.20827451981592[/C][/ROW]
[ROW][C]0.11[/C][C]49.4329613098119[/C][C]0.211622299200696[/C][/ROW]
[ROW][C]0.12[/C][C]49.4971452901631[/C][C]0.219044242817004[/C][/ROW]
[ROW][C]0.13[/C][C]49.5607200672687[/C][C]0.229559559244998[/C][/ROW]
[ROW][C]0.14[/C][C]49.6249174405515[/C][C]0.243182616119151[/C][/ROW]
[ROW][C]0.15[/C][C]49.6907163668657[/C][C]0.26040046263675[/C][/ROW]
[ROW][C]0.16[/C][C]49.7588796780138[/C][C]0.280789198986027[/C][/ROW]
[ROW][C]0.17[/C][C]49.8299047491552[/C][C]0.302862028138683[/C][/ROW]
[ROW][C]0.18[/C][C]49.903918530661[/C][C]0.324199695853506[/C][/ROW]
[ROW][C]0.19[/C][C]49.9805942881659[/C][C]0.341941671034487[/C][/ROW]
[ROW][C]0.2[/C][C]50.0591559293337[/C][C]0.353862429108452[/C][/ROW]
[ROW][C]0.21[/C][C]50.1384915280851[/C][C]0.358721080118919[/C][/ROW]
[ROW][C]0.22[/C][C]50.2173501297063[/C][C]0.356616448983945[/C][/ROW]
[ROW][C]0.23[/C][C]50.2945657744046[/C][C]0.348807043157213[/C][/ROW]
[ROW][C]0.24[/C][C]50.3692475451822[/C][C]0.337422279433986[/C][/ROW]
[ROW][C]0.25[/C][C]50.4408908128091[/C][C]0.324880715171697[/C][/ROW]
[ROW][C]0.26[/C][C]50.5093927829512[/C][C]0.313334404754539[/C][/ROW]
[ROW][C]0.27[/C][C]50.5749837139057[/C][C]0.304266199153418[/C][/ROW]
[ROW][C]0.28[/C][C]50.6381051327244[/C][C]0.298204900694624[/C][/ROW]
[ROW][C]0.29[/C][C]50.6992739574093[/C][C]0.294827122078348[/C][/ROW]
[ROW][C]0.3[/C][C]50.758967160538[/C][C]0.293275968995379[/C][/ROW]
[ROW][C]0.31[/C][C]50.8175492768195[/C][C]0.292488141588012[/C][/ROW]
[ROW][C]0.32[/C][C]50.8752497768553[/C][C]0.291714613454791[/C][/ROW]
[ROW][C]0.33[/C][C]50.9321837312131[/C][C]0.290395420550585[/C][/ROW]
[ROW][C]0.34[/C][C]50.9884002557832[/C][C]0.288550063671842[/C][/ROW]
[ROW][C]0.35[/C][C]51.0439399502467[/C][C]0.286549465500849[/C][/ROW]
[ROW][C]0.36[/C][C]51.0988842463173[/C][C]0.284929766709659[/C][/ROW]
[ROW][C]0.37[/C][C]51.1533846431844[/C][C]0.284381607747704[/C][/ROW]
[ROW][C]0.38[/C][C]51.2076663608961[/C][C]0.285478117602116[/C][/ROW]
[ROW][C]0.39[/C][C]51.2620073936153[/C][C]0.288524013183161[/C][/ROW]
[ROW][C]0.4[/C][C]51.3166991772075[/C][C]0.293384303785538[/C][/ROW]
[ROW][C]0.41[/C][C]51.3719984447968[/C][C]0.299724134752889[/C][/ROW]
[ROW][C]0.42[/C][C]51.4280810326005[/C][C]0.306747341998331[/C][/ROW]
[ROW][C]0.43[/C][C]51.4850074038462[/C][C]0.31356837733604[/C][/ROW]
[ROW][C]0.44[/C][C]51.5427067528332[/C][C]0.319253555417283[/C][/ROW]
[ROW][C]0.45[/C][C]51.6009823242852[/C][C]0.323026126130102[/C][/ROW]
[ROW][C]0.46[/C][C]51.659535927212[/C][C]0.324317276890276[/C][/ROW]
[ROW][C]0.47[/C][C]51.7180056008899[/C][C]0.322941855705743[/C][/ROW]
[ROW][C]0.48[/C][C]51.7760079898508[/C][C]0.319123322306176[/C][/ROW]
[ROW][C]0.49[/C][C]51.8331768200584[/C][C]0.313044015183609[/C][/ROW]
[ROW][C]0.5[/C][C]51.8891909561646[/C][C]0.305266658868559[/C][/ROW]
[ROW][C]0.51[/C][C]51.9437892220069[/C][C]0.296386603860649[/C][/ROW]
[ROW][C]0.52[/C][C]51.9967733522846[/C][C]0.286683540573102[/C][/ROW]
[ROW][C]0.53[/C][C]52.0480038276294[/C][C]0.27646809636636[/C][/ROW]
[ROW][C]0.54[/C][C]52.0973948960165[/C][C]0.265937237382228[/C][/ROW]
[ROW][C]0.55[/C][C]52.1449143559034[/C][C]0.255145391924327[/C][/ROW]
[ROW][C]0.56[/C][C]52.1905909579592[/C][C]0.244418287276214[/C][/ROW]
[ROW][C]0.57[/C][C]52.2345284970536[/C][C]0.234041808284881[/C][/ROW]
[ROW][C]0.58[/C][C]52.2769220733862[/C][C]0.224603614505243[/C][/ROW]
[ROW][C]0.59[/C][C]52.3180697884089[/C][C]0.216861923623574[/C][/ROW]
[ROW][C]0.6[/C][C]52.3583730461136[/C][C]0.211536048920301[/C][/ROW]
[ROW][C]0.61[/C][C]52.3983207175942[/C][C]0.209187017101091[/C][/ROW]
[ROW][C]0.62[/C][C]52.4384560804727[/C][C]0.210269417036182[/C][/ROW]
[ROW][C]0.63[/C][C]52.4793295790506[/C][C]0.214499611589234[/C][/ROW]
[ROW][C]0.64[/C][C]52.5214438660795[/C][C]0.221523471546644[/C][/ROW]
[ROW][C]0.65[/C][C]52.5651993529663[/C][C]0.230389001407827[/C][/ROW]
[ROW][C]0.66[/C][C]52.6108482385595[/C][C]0.240061822886197[/C][/ROW]
[ROW][C]0.67[/C][C]52.6584629842109[/C][C]0.249393700895137[/C][/ROW]
[ROW][C]0.68[/C][C]52.7079222508607[/C][C]0.257400158479663[/C][/ROW]
[ROW][C]0.69[/C][C]52.7589144188608[/C][C]0.263088723523668[/C][/ROW]
[ROW][C]0.7[/C][C]52.8109568161898[/C][C]0.265756771265968[/C][/ROW]
[ROW][C]0.71[/C][C]52.8634280720583[/C][C]0.264884760517326[/C][/ROW]
[ROW][C]0.72[/C][C]52.9156114244109[/C][C]0.260162004478653[/C][/ROW]
[ROW][C]0.73[/C][C]52.9667477577068[/C][C]0.251503996882647[/C][/ROW]
[ROW][C]0.74[/C][C]53.0160979205463[/C][C]0.239105071676954[/C][/ROW]
[ROW][C]0.75[/C][C]53.063013920165[/C][C]0.223546668776724[/C][/ROW]
[ROW][C]0.76[/C][C]53.1070176450771[/C][C]0.205578503474484[/C][/ROW]
[ROW][C]0.77[/C][C]53.1478837466112[/C][C]0.186551454231025[/C][/ROW]
[ROW][C]0.78[/C][C]53.1857201145871[/C][C]0.167976100905477[/C][/ROW]
[ROW][C]0.79[/C][C]53.2210348437274[/C][C]0.15180547786376[/C][/ROW]
[ROW][C]0.8[/C][C]53.2547728342207[/C][C]0.140162846859711[/C][/ROW]
[ROW][C]0.81[/C][C]53.2882994307745[/C][C]0.135436284603498[/C][/ROW]
[ROW][C]0.82[/C][C]53.3233059404387[/C][C]0.139394076171102[/C][/ROW]
[ROW][C]0.83[/C][C]53.3616176027009[/C][C]0.15230613416984[/C][/ROW]
[ROW][C]0.84[/C][C]53.4049040336445[/C][C]0.172496783983655[/C][/ROW]
[ROW][C]0.85[/C][C]53.4543274341027[/C][C]0.196476293623489[/C][/ROW]
[ROW][C]0.86[/C][C]53.5102093100137[/C][C]0.219630105539573[/C][/ROW]
[ROW][C]0.87[/C][C]53.5718361548879[/C][C]0.236997047799131[/C][/ROW]
[ROW][C]0.88[/C][C]53.6375345765002[/C][C]0.244438786560252[/C][/ROW]
[ROW][C]0.89[/C][C]53.7051033786628[/C][C]0.240009391474044[/C][/ROW]
[ROW][C]0.9[/C][C]53.772583503453[/C][C]0.224960043359234[/C][/ROW]
[ROW][C]0.91[/C][C]53.8391885898909[/C][C]0.20439656589367[/C][/ROW]
[ROW][C]0.92[/C][C]53.9060482596308[/C][C]0.186681835596297[/C][/ROW]
[ROW][C]0.93[/C][C]53.9763012055604[/C][C]0.180957146677895[/C][/ROW]
[ROW][C]0.94[/C][C]54.0541181249229[/C][C]0.191089596846815[/C][/ROW]
[ROW][C]0.95[/C][C]54.1425617647418[/C][C]0.209809513913188[/C][/ROW]
[ROW][C]0.96[/C][C]54.2408596001196[/C][C]0.220690362398462[/C][/ROW]
[ROW][C]0.97[/C][C]54.3424307270539[/C][C]0.20620906995623[/C][/ROW]
[ROW][C]0.98[/C][C]54.4351803877439[/C][C]0.159475419959436[/C][/ROW]
[ROW][C]0.99[/C][C]54.5046664756411[/C][C]0.0970720108298377[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238849&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238849&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
0.0148.75828223151560.0508951439321533
0.0248.79181227240580.0734013954237835
0.0348.83924835760990.119493071179066
0.0448.90085127721130.170924366317722
0.0548.97498527036150.209725950699007
0.0649.05687440117190.227585420746221
0.0749.14049759787890.227435822945247
0.0849.22110466553820.218728068950043
0.0949.29646640199190.21073379809248
0.149.36663566779680.20827451981592
0.1149.43296130981190.211622299200696
0.1249.49714529016310.219044242817004
0.1349.56072006726870.229559559244998
0.1449.62491744055150.243182616119151
0.1549.69071636686570.26040046263675
0.1649.75887967801380.280789198986027
0.1749.82990474915520.302862028138683
0.1849.9039185306610.324199695853506
0.1949.98059428816590.341941671034487
0.250.05915592933370.353862429108452
0.2150.13849152808510.358721080118919
0.2250.21735012970630.356616448983945
0.2350.29456577440460.348807043157213
0.2450.36924754518220.337422279433986
0.2550.44089081280910.324880715171697
0.2650.50939278295120.313334404754539
0.2750.57498371390570.304266199153418
0.2850.63810513272440.298204900694624
0.2950.69927395740930.294827122078348
0.350.7589671605380.293275968995379
0.3150.81754927681950.292488141588012
0.3250.87524977685530.291714613454791
0.3350.93218373121310.290395420550585
0.3450.98840025578320.288550063671842
0.3551.04393995024670.286549465500849
0.3651.09888424631730.284929766709659
0.3751.15338464318440.284381607747704
0.3851.20766636089610.285478117602116
0.3951.26200739361530.288524013183161
0.451.31669917720750.293384303785538
0.4151.37199844479680.299724134752889
0.4251.42808103260050.306747341998331
0.4351.48500740384620.31356837733604
0.4451.54270675283320.319253555417283
0.4551.60098232428520.323026126130102
0.4651.6595359272120.324317276890276
0.4751.71800560088990.322941855705743
0.4851.77600798985080.319123322306176
0.4951.83317682005840.313044015183609
0.551.88919095616460.305266658868559
0.5151.94378922200690.296386603860649
0.5251.99677335228460.286683540573102
0.5352.04800382762940.27646809636636
0.5452.09739489601650.265937237382228
0.5552.14491435590340.255145391924327
0.5652.19059095795920.244418287276214
0.5752.23452849705360.234041808284881
0.5852.27692207338620.224603614505243
0.5952.31806978840890.216861923623574
0.652.35837304611360.211536048920301
0.6152.39832071759420.209187017101091
0.6252.43845608047270.210269417036182
0.6352.47932957905060.214499611589234
0.6452.52144386607950.221523471546644
0.6552.56519935296630.230389001407827
0.6652.61084823855950.240061822886197
0.6752.65846298421090.249393700895137
0.6852.70792225086070.257400158479663
0.6952.75891441886080.263088723523668
0.752.81095681618980.265756771265968
0.7152.86342807205830.264884760517326
0.7252.91561142441090.260162004478653
0.7352.96674775770680.251503996882647
0.7453.01609792054630.239105071676954
0.7553.0630139201650.223546668776724
0.7653.10701764507710.205578503474484
0.7753.14788374661120.186551454231025
0.7853.18572011458710.167976100905477
0.7953.22103484372740.15180547786376
0.853.25477283422070.140162846859711
0.8153.28829943077450.135436284603498
0.8253.32330594043870.139394076171102
0.8353.36161760270090.15230613416984
0.8453.40490403364450.172496783983655
0.8553.45432743410270.196476293623489
0.8653.51020931001370.219630105539573
0.8753.57183615488790.236997047799131
0.8853.63753457650020.244438786560252
0.8953.70510337866280.240009391474044
0.953.7725835034530.224960043359234
0.9153.83918858989090.20439656589367
0.9253.90604825963080.186681835596297
0.9353.97630120556040.180957146677895
0.9454.05411812492290.191089596846815
0.9554.14256176474180.209809513913188
0.9654.24085960011960.220690362398462
0.9754.34243072705390.20620906995623
0.9854.43518038774390.159475419959436
0.9954.50466647564110.0970720108298377


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')