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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 16 Oct 2008 10:07:11 -0600
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/Oct/16/t1224173373mzhkn5b3tux7xy4.htm/, Retrieved Sun, 19 May 2024 14:43:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16371, Retrieved Sun, 19 May 2024 14:43:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact162

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Harrell-Davis Quantiles] [Harrell-Davis Tij...] [2008-10-16 16:07:11] [e08fee3874f3333d6b7a377a061b860d] [Current]
Feedback Forum
2008-10-28 06:56:41 [An De Koninck] [reply] 
Deze vraag werd erg goed beantwoord. De student heeft veel inzicht in de tijdsreeksen en kan de grafieken goed aflezen. Alle technieken om de tijdsreeksen te interpreteren (histogram, back to back histogram, stem and leaf plot, central tendency, percentile, harrel-davis) werden goed uitgevoerd, en er werd correct gebruik gemaakt van de links. De tijdsreeksen blijken een duidelijk verband te vertonen
Voor de percentiles werd slechts 1 tijdsreeks besproken en bij de harrel-davis quantiles werden geen gegevens van de tijdsreeksen besproken. Dit had het nog gedetailleerder gemaakt.



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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
54.281
63.654
68.918
58.686
67.074
60.183
54.326
54.085
53.564
60.873
53.398
45.164
59.672
56.298
62.361
56.930
62.954
62.431
52.528
54.060
53.093
52.695
52.333
41.747
58.576
57.851
63.721
63.384
61.141
59.231
63.472
49.214
55.816
61.713
48.664
45.351
57.888
54.091
59.098
58.962
55.433
60.403
60.721
48.440
57.981
60.258
47.312
46.980
54.846
56.824
67.744
62.849
54.691
65.461
53.724
54.560
57.722
55.458
48.490
46.362

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 6 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16371&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16371&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16371&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 time6 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0142.4592103139332.78066261107206
0.0243.44036518393992.04767795562406
0.0344.3790587233641.46977135829217
0.0445.14152375549061.16994862369197
0.0545.73558647278831.08480486131861
0.0646.21822201934381.09366828495514
0.0746.64043667930661.12996553623018
0.0847.03368018293251.17758453745597
0.0947.4148774010981.24004504815394
0.147.79378157120641.32353455728667
0.1148.17717969703221.42971285673973
0.1248.57007823404211.55294745268558
0.1348.97536153863201.68053757869495
0.1449.39312938127131.79551509700859
0.1549.82037692394491.88081714338734
0.1650.25126580814841.92291219828123
0.1750.67795697809741.91482723419372
0.1851.09179990580511.85677471985038
0.1951.4845927209831.75555186849032
0.251.84964181049021.62251353197916
0.2152.18243705783531.47103022415179
0.2252.48088055066721.31409125704083
0.2352.74511946792391.16263069841253
0.2452.9771076431391.02438409345022
0.2553.18004455299850.90395773066426
0.2653.35782257112120.803095218096785
0.2753.51457064142240.721705418764399
0.2853.6543338226650.658442187389947
0.2953.78088747879720.611810468587398
0.353.89765917789050.580399690653312
0.3154.00772113997050.563044575628118
0.3254.11381777296310.558783096494269
0.3354.2184013654630.566666143371421
0.3454.32365968785080.585727607003697
0.3554.4315288356650.614729432992525
0.3654.54369150385610.65229262742685
0.3754.66156470694870.696844208892749
0.3854.78628228653940.746549147540216
0.3954.918677250660.799711072940031
0.455.05926793803760.85445989018798
0.4155.20825084794320.90886917245511
0.4255.36550208438280.9611325507022
0.4355.53058881615221.00944802167965
0.4455.70279183207621.05217107111059
0.4555.8811399504211.08790946256861
0.4656.06445650029631.11551654447514
0.4756.25141719596321.13412421352155
0.4856.44061747967791.14349306680573
0.4956.63064597542921.14368747266627
0.556.82015935299771.13526696642611
0.5157.00795297278411.11941151537209
0.5257.19302144465041.09747985322993
0.5357.37460383692231.07116444670347
0.5457.55220968302771.04238998857699
0.5557.72562394136891.01292614806406
0.5657.89489133022830.984370367267532
0.5758.06028260835090.958168059997125
0.5858.22224708969030.93524600850721
0.5958.38135678876710.916160427508063
0.658.53824806849310.901139374322298
0.6158.69356660106980.889919625281922
0.6258.8479209883660.882018822345965
0.6359.00184960354470.876846929301055
0.6459.15580408657820.873553062783936
0.6559.31015133239250.871416929462135
0.6659.4651936184280.869930874203415
0.6759.62120371418360.868740041872131
0.6859.77846863373820.867930248532613
0.6959.93733268389480.867946572601025
0.760.09822844428290.869581315418908
0.7160.26168419931880.873579581039564
0.7260.42829883816730.880611705369317
0.7360.59868054987490.891056878734126
0.7460.77335321553410.904244265848704
0.7560.95264287578050.91889924007771
0.7661.13656406852780.932984710034592
0.7761.32473012596920.94375262701278
0.7861.51631123449370.948472972635898
0.7961.71005906551360.944698609964798
0.861.90440871358460.930853001117948
0.8162.09766074667650.906420815486731
0.8262.28824209713250.872194736537387
0.8362.47504647584730.830422629661003
0.8462.65786097328030.784901433337921
0.8562.837887068910.74096378147578
0.8663.01834630859370.706225510165134
0.8763.20510583162970.691093832190347
0.8863.40715724906650.708773526206653
0.8963.63664998625790.772621679672967
0.963.90807776709220.889902294407887
0.9164.23625853191621.05527834335927
0.9264.63307520301781.2473687785464
0.9365.1036305253441.42945646863258
0.9465.64332213973791.55495166811537
0.9566.2376482123811.58138010982609
0.9666.86504288732291.49228790951763
0.9767.49893241884391.32176355934695
0.9868.10129929537521.16392238787047
0.9968.60617119993711.11605864875641

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 42.459210313933 & 2.78066261107206 \tabularnewline
0.02 & 43.4403651839399 & 2.04767795562406 \tabularnewline
0.03 & 44.379058723364 & 1.46977135829217 \tabularnewline
0.04 & 45.1415237554906 & 1.16994862369197 \tabularnewline
0.05 & 45.7355864727883 & 1.08480486131861 \tabularnewline
0.06 & 46.2182220193438 & 1.09366828495514 \tabularnewline
0.07 & 46.6404366793066 & 1.12996553623018 \tabularnewline
0.08 & 47.0336801829325 & 1.17758453745597 \tabularnewline
0.09 & 47.414877401098 & 1.24004504815394 \tabularnewline
0.1 & 47.7937815712064 & 1.32353455728667 \tabularnewline
0.11 & 48.1771796970322 & 1.42971285673973 \tabularnewline
0.12 & 48.5700782340421 & 1.55294745268558 \tabularnewline
0.13 & 48.9753615386320 & 1.68053757869495 \tabularnewline
0.14 & 49.3931293812713 & 1.79551509700859 \tabularnewline
0.15 & 49.8203769239449 & 1.88081714338734 \tabularnewline
0.16 & 50.2512658081484 & 1.92291219828123 \tabularnewline
0.17 & 50.6779569780974 & 1.91482723419372 \tabularnewline
0.18 & 51.0917999058051 & 1.85677471985038 \tabularnewline
0.19 & 51.484592720983 & 1.75555186849032 \tabularnewline
0.2 & 51.8496418104902 & 1.62251353197916 \tabularnewline
0.21 & 52.1824370578353 & 1.47103022415179 \tabularnewline
0.22 & 52.4808805506672 & 1.31409125704083 \tabularnewline
0.23 & 52.7451194679239 & 1.16263069841253 \tabularnewline
0.24 & 52.977107643139 & 1.02438409345022 \tabularnewline
0.25 & 53.1800445529985 & 0.90395773066426 \tabularnewline
0.26 & 53.3578225711212 & 0.803095218096785 \tabularnewline
0.27 & 53.5145706414224 & 0.721705418764399 \tabularnewline
0.28 & 53.654333822665 & 0.658442187389947 \tabularnewline
0.29 & 53.7808874787972 & 0.611810468587398 \tabularnewline
0.3 & 53.8976591778905 & 0.580399690653312 \tabularnewline
0.31 & 54.0077211399705 & 0.563044575628118 \tabularnewline
0.32 & 54.1138177729631 & 0.558783096494269 \tabularnewline
0.33 & 54.218401365463 & 0.566666143371421 \tabularnewline
0.34 & 54.3236596878508 & 0.585727607003697 \tabularnewline
0.35 & 54.431528835665 & 0.614729432992525 \tabularnewline
0.36 & 54.5436915038561 & 0.65229262742685 \tabularnewline
0.37 & 54.6615647069487 & 0.696844208892749 \tabularnewline
0.38 & 54.7862822865394 & 0.746549147540216 \tabularnewline
0.39 & 54.91867725066 & 0.799711072940031 \tabularnewline
0.4 & 55.0592679380376 & 0.85445989018798 \tabularnewline
0.41 & 55.2082508479432 & 0.90886917245511 \tabularnewline
0.42 & 55.3655020843828 & 0.9611325507022 \tabularnewline
0.43 & 55.5305888161522 & 1.00944802167965 \tabularnewline
0.44 & 55.7027918320762 & 1.05217107111059 \tabularnewline
0.45 & 55.881139950421 & 1.08790946256861 \tabularnewline
0.46 & 56.0644565002963 & 1.11551654447514 \tabularnewline
0.47 & 56.2514171959632 & 1.13412421352155 \tabularnewline
0.48 & 56.4406174796779 & 1.14349306680573 \tabularnewline
0.49 & 56.6306459754292 & 1.14368747266627 \tabularnewline
0.5 & 56.8201593529977 & 1.13526696642611 \tabularnewline
0.51 & 57.0079529727841 & 1.11941151537209 \tabularnewline
0.52 & 57.1930214446504 & 1.09747985322993 \tabularnewline
0.53 & 57.3746038369223 & 1.07116444670347 \tabularnewline
0.54 & 57.5522096830277 & 1.04238998857699 \tabularnewline
0.55 & 57.7256239413689 & 1.01292614806406 \tabularnewline
0.56 & 57.8948913302283 & 0.984370367267532 \tabularnewline
0.57 & 58.0602826083509 & 0.958168059997125 \tabularnewline
0.58 & 58.2222470896903 & 0.93524600850721 \tabularnewline
0.59 & 58.3813567887671 & 0.916160427508063 \tabularnewline
0.6 & 58.5382480684931 & 0.901139374322298 \tabularnewline
0.61 & 58.6935666010698 & 0.889919625281922 \tabularnewline
0.62 & 58.847920988366 & 0.882018822345965 \tabularnewline
0.63 & 59.0018496035447 & 0.876846929301055 \tabularnewline
0.64 & 59.1558040865782 & 0.873553062783936 \tabularnewline
0.65 & 59.3101513323925 & 0.871416929462135 \tabularnewline
0.66 & 59.465193618428 & 0.869930874203415 \tabularnewline
0.67 & 59.6212037141836 & 0.868740041872131 \tabularnewline
0.68 & 59.7784686337382 & 0.867930248532613 \tabularnewline
0.69 & 59.9373326838948 & 0.867946572601025 \tabularnewline
0.7 & 60.0982284442829 & 0.869581315418908 \tabularnewline
0.71 & 60.2616841993188 & 0.873579581039564 \tabularnewline
0.72 & 60.4282988381673 & 0.880611705369317 \tabularnewline
0.73 & 60.5986805498749 & 0.891056878734126 \tabularnewline
0.74 & 60.7733532155341 & 0.904244265848704 \tabularnewline
0.75 & 60.9526428757805 & 0.91889924007771 \tabularnewline
0.76 & 61.1365640685278 & 0.932984710034592 \tabularnewline
0.77 & 61.3247301259692 & 0.94375262701278 \tabularnewline
0.78 & 61.5163112344937 & 0.948472972635898 \tabularnewline
0.79 & 61.7100590655136 & 0.944698609964798 \tabularnewline
0.8 & 61.9044087135846 & 0.930853001117948 \tabularnewline
0.81 & 62.0976607466765 & 0.906420815486731 \tabularnewline
0.82 & 62.2882420971325 & 0.872194736537387 \tabularnewline
0.83 & 62.4750464758473 & 0.830422629661003 \tabularnewline
0.84 & 62.6578609732803 & 0.784901433337921 \tabularnewline
0.85 & 62.83788706891 & 0.74096378147578 \tabularnewline
0.86 & 63.0183463085937 & 0.706225510165134 \tabularnewline
0.87 & 63.2051058316297 & 0.691093832190347 \tabularnewline
0.88 & 63.4071572490665 & 0.708773526206653 \tabularnewline
0.89 & 63.6366499862579 & 0.772621679672967 \tabularnewline
0.9 & 63.9080777670922 & 0.889902294407887 \tabularnewline
0.91 & 64.2362585319162 & 1.05527834335927 \tabularnewline
0.92 & 64.6330752030178 & 1.2473687785464 \tabularnewline
0.93 & 65.103630525344 & 1.42945646863258 \tabularnewline
0.94 & 65.6433221397379 & 1.55495166811537 \tabularnewline
0.95 & 66.237648212381 & 1.58138010982609 \tabularnewline
0.96 & 66.8650428873229 & 1.49228790951763 \tabularnewline
0.97 & 67.4989324188439 & 1.32176355934695 \tabularnewline
0.98 & 68.1012992953752 & 1.16392238787047 \tabularnewline
0.99 & 68.6061711999371 & 1.11605864875641 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16371&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]42.459210313933[/C][C]2.78066261107206[/C][/ROW]
[ROW][C]0.02[/C][C]43.4403651839399[/C][C]2.04767795562406[/C][/ROW]
[ROW][C]0.03[/C][C]44.379058723364[/C][C]1.46977135829217[/C][/ROW]
[ROW][C]0.04[/C][C]45.1415237554906[/C][C]1.16994862369197[/C][/ROW]
[ROW][C]0.05[/C][C]45.7355864727883[/C][C]1.08480486131861[/C][/ROW]
[ROW][C]0.06[/C][C]46.2182220193438[/C][C]1.09366828495514[/C][/ROW]
[ROW][C]0.07[/C][C]46.6404366793066[/C][C]1.12996553623018[/C][/ROW]
[ROW][C]0.08[/C][C]47.0336801829325[/C][C]1.17758453745597[/C][/ROW]
[ROW][C]0.09[/C][C]47.414877401098[/C][C]1.24004504815394[/C][/ROW]
[ROW][C]0.1[/C][C]47.7937815712064[/C][C]1.32353455728667[/C][/ROW]
[ROW][C]0.11[/C][C]48.1771796970322[/C][C]1.42971285673973[/C][/ROW]
[ROW][C]0.12[/C][C]48.5700782340421[/C][C]1.55294745268558[/C][/ROW]
[ROW][C]0.13[/C][C]48.9753615386320[/C][C]1.68053757869495[/C][/ROW]
[ROW][C]0.14[/C][C]49.3931293812713[/C][C]1.79551509700859[/C][/ROW]
[ROW][C]0.15[/C][C]49.8203769239449[/C][C]1.88081714338734[/C][/ROW]
[ROW][C]0.16[/C][C]50.2512658081484[/C][C]1.92291219828123[/C][/ROW]
[ROW][C]0.17[/C][C]50.6779569780974[/C][C]1.91482723419372[/C][/ROW]
[ROW][C]0.18[/C][C]51.0917999058051[/C][C]1.85677471985038[/C][/ROW]
[ROW][C]0.19[/C][C]51.484592720983[/C][C]1.75555186849032[/C][/ROW]
[ROW][C]0.2[/C][C]51.8496418104902[/C][C]1.62251353197916[/C][/ROW]
[ROW][C]0.21[/C][C]52.1824370578353[/C][C]1.47103022415179[/C][/ROW]
[ROW][C]0.22[/C][C]52.4808805506672[/C][C]1.31409125704083[/C][/ROW]
[ROW][C]0.23[/C][C]52.7451194679239[/C][C]1.16263069841253[/C][/ROW]
[ROW][C]0.24[/C][C]52.977107643139[/C][C]1.02438409345022[/C][/ROW]
[ROW][C]0.25[/C][C]53.1800445529985[/C][C]0.90395773066426[/C][/ROW]
[ROW][C]0.26[/C][C]53.3578225711212[/C][C]0.803095218096785[/C][/ROW]
[ROW][C]0.27[/C][C]53.5145706414224[/C][C]0.721705418764399[/C][/ROW]
[ROW][C]0.28[/C][C]53.654333822665[/C][C]0.658442187389947[/C][/ROW]
[ROW][C]0.29[/C][C]53.7808874787972[/C][C]0.611810468587398[/C][/ROW]
[ROW][C]0.3[/C][C]53.8976591778905[/C][C]0.580399690653312[/C][/ROW]
[ROW][C]0.31[/C][C]54.0077211399705[/C][C]0.563044575628118[/C][/ROW]
[ROW][C]0.32[/C][C]54.1138177729631[/C][C]0.558783096494269[/C][/ROW]
[ROW][C]0.33[/C][C]54.218401365463[/C][C]0.566666143371421[/C][/ROW]
[ROW][C]0.34[/C][C]54.3236596878508[/C][C]0.585727607003697[/C][/ROW]
[ROW][C]0.35[/C][C]54.431528835665[/C][C]0.614729432992525[/C][/ROW]
[ROW][C]0.36[/C][C]54.5436915038561[/C][C]0.65229262742685[/C][/ROW]
[ROW][C]0.37[/C][C]54.6615647069487[/C][C]0.696844208892749[/C][/ROW]
[ROW][C]0.38[/C][C]54.7862822865394[/C][C]0.746549147540216[/C][/ROW]
[ROW][C]0.39[/C][C]54.91867725066[/C][C]0.799711072940031[/C][/ROW]
[ROW][C]0.4[/C][C]55.0592679380376[/C][C]0.85445989018798[/C][/ROW]
[ROW][C]0.41[/C][C]55.2082508479432[/C][C]0.90886917245511[/C][/ROW]
[ROW][C]0.42[/C][C]55.3655020843828[/C][C]0.9611325507022[/C][/ROW]
[ROW][C]0.43[/C][C]55.5305888161522[/C][C]1.00944802167965[/C][/ROW]
[ROW][C]0.44[/C][C]55.7027918320762[/C][C]1.05217107111059[/C][/ROW]
[ROW][C]0.45[/C][C]55.881139950421[/C][C]1.08790946256861[/C][/ROW]
[ROW][C]0.46[/C][C]56.0644565002963[/C][C]1.11551654447514[/C][/ROW]
[ROW][C]0.47[/C][C]56.2514171959632[/C][C]1.13412421352155[/C][/ROW]
[ROW][C]0.48[/C][C]56.4406174796779[/C][C]1.14349306680573[/C][/ROW]
[ROW][C]0.49[/C][C]56.6306459754292[/C][C]1.14368747266627[/C][/ROW]
[ROW][C]0.5[/C][C]56.8201593529977[/C][C]1.13526696642611[/C][/ROW]
[ROW][C]0.51[/C][C]57.0079529727841[/C][C]1.11941151537209[/C][/ROW]
[ROW][C]0.52[/C][C]57.1930214446504[/C][C]1.09747985322993[/C][/ROW]
[ROW][C]0.53[/C][C]57.3746038369223[/C][C]1.07116444670347[/C][/ROW]
[ROW][C]0.54[/C][C]57.5522096830277[/C][C]1.04238998857699[/C][/ROW]
[ROW][C]0.55[/C][C]57.7256239413689[/C][C]1.01292614806406[/C][/ROW]
[ROW][C]0.56[/C][C]57.8948913302283[/C][C]0.984370367267532[/C][/ROW]
[ROW][C]0.57[/C][C]58.0602826083509[/C][C]0.958168059997125[/C][/ROW]
[ROW][C]0.58[/C][C]58.2222470896903[/C][C]0.93524600850721[/C][/ROW]
[ROW][C]0.59[/C][C]58.3813567887671[/C][C]0.916160427508063[/C][/ROW]
[ROW][C]0.6[/C][C]58.5382480684931[/C][C]0.901139374322298[/C][/ROW]
[ROW][C]0.61[/C][C]58.6935666010698[/C][C]0.889919625281922[/C][/ROW]
[ROW][C]0.62[/C][C]58.847920988366[/C][C]0.882018822345965[/C][/ROW]
[ROW][C]0.63[/C][C]59.0018496035447[/C][C]0.876846929301055[/C][/ROW]
[ROW][C]0.64[/C][C]59.1558040865782[/C][C]0.873553062783936[/C][/ROW]
[ROW][C]0.65[/C][C]59.3101513323925[/C][C]0.871416929462135[/C][/ROW]
[ROW][C]0.66[/C][C]59.465193618428[/C][C]0.869930874203415[/C][/ROW]
[ROW][C]0.67[/C][C]59.6212037141836[/C][C]0.868740041872131[/C][/ROW]
[ROW][C]0.68[/C][C]59.7784686337382[/C][C]0.867930248532613[/C][/ROW]
[ROW][C]0.69[/C][C]59.9373326838948[/C][C]0.867946572601025[/C][/ROW]
[ROW][C]0.7[/C][C]60.0982284442829[/C][C]0.869581315418908[/C][/ROW]
[ROW][C]0.71[/C][C]60.2616841993188[/C][C]0.873579581039564[/C][/ROW]
[ROW][C]0.72[/C][C]60.4282988381673[/C][C]0.880611705369317[/C][/ROW]
[ROW][C]0.73[/C][C]60.5986805498749[/C][C]0.891056878734126[/C][/ROW]
[ROW][C]0.74[/C][C]60.7733532155341[/C][C]0.904244265848704[/C][/ROW]
[ROW][C]0.75[/C][C]60.9526428757805[/C][C]0.91889924007771[/C][/ROW]
[ROW][C]0.76[/C][C]61.1365640685278[/C][C]0.932984710034592[/C][/ROW]
[ROW][C]0.77[/C][C]61.3247301259692[/C][C]0.94375262701278[/C][/ROW]
[ROW][C]0.78[/C][C]61.5163112344937[/C][C]0.948472972635898[/C][/ROW]
[ROW][C]0.79[/C][C]61.7100590655136[/C][C]0.944698609964798[/C][/ROW]
[ROW][C]0.8[/C][C]61.9044087135846[/C][C]0.930853001117948[/C][/ROW]
[ROW][C]0.81[/C][C]62.0976607466765[/C][C]0.906420815486731[/C][/ROW]
[ROW][C]0.82[/C][C]62.2882420971325[/C][C]0.872194736537387[/C][/ROW]
[ROW][C]0.83[/C][C]62.4750464758473[/C][C]0.830422629661003[/C][/ROW]
[ROW][C]0.84[/C][C]62.6578609732803[/C][C]0.784901433337921[/C][/ROW]
[ROW][C]0.85[/C][C]62.83788706891[/C][C]0.74096378147578[/C][/ROW]
[ROW][C]0.86[/C][C]63.0183463085937[/C][C]0.706225510165134[/C][/ROW]
[ROW][C]0.87[/C][C]63.2051058316297[/C][C]0.691093832190347[/C][/ROW]
[ROW][C]0.88[/C][C]63.4071572490665[/C][C]0.708773526206653[/C][/ROW]
[ROW][C]0.89[/C][C]63.6366499862579[/C][C]0.772621679672967[/C][/ROW]
[ROW][C]0.9[/C][C]63.9080777670922[/C][C]0.889902294407887[/C][/ROW]
[ROW][C]0.91[/C][C]64.2362585319162[/C][C]1.05527834335927[/C][/ROW]
[ROW][C]0.92[/C][C]64.6330752030178[/C][C]1.2473687785464[/C][/ROW]
[ROW][C]0.93[/C][C]65.103630525344[/C][C]1.42945646863258[/C][/ROW]
[ROW][C]0.94[/C][C]65.6433221397379[/C][C]1.55495166811537[/C][/ROW]
[ROW][C]0.95[/C][C]66.237648212381[/C][C]1.58138010982609[/C][/ROW]
[ROW][C]0.96[/C][C]66.8650428873229[/C][C]1.49228790951763[/C][/ROW]
[ROW][C]0.97[/C][C]67.4989324188439[/C][C]1.32176355934695[/C][/ROW]
[ROW][C]0.98[/C][C]68.1012992953752[/C][C]1.16392238787047[/C][/ROW]
[ROW][C]0.99[/C][C]68.6061711999371[/C][C]1.11605864875641[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16371&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16371&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
0.0142.4592103139332.78066261107206
0.0243.44036518393992.04767795562406
0.0344.3790587233641.46977135829217
0.0445.14152375549061.16994862369197
0.0545.73558647278831.08480486131861
0.0646.21822201934381.09366828495514
0.0746.64043667930661.12996553623018
0.0847.03368018293251.17758453745597
0.0947.4148774010981.24004504815394
0.147.79378157120641.32353455728667
0.1148.17717969703221.42971285673973
0.1248.57007823404211.55294745268558
0.1348.97536153863201.68053757869495
0.1449.39312938127131.79551509700859
0.1549.82037692394491.88081714338734
0.1650.25126580814841.92291219828123
0.1750.67795697809741.91482723419372
0.1851.09179990580511.85677471985038
0.1951.4845927209831.75555186849032
0.251.84964181049021.62251353197916
0.2152.18243705783531.47103022415179
0.2252.48088055066721.31409125704083
0.2352.74511946792391.16263069841253
0.2452.9771076431391.02438409345022
0.2553.18004455299850.90395773066426
0.2653.35782257112120.803095218096785
0.2753.51457064142240.721705418764399
0.2853.6543338226650.658442187389947
0.2953.78088747879720.611810468587398
0.353.89765917789050.580399690653312
0.3154.00772113997050.563044575628118
0.3254.11381777296310.558783096494269
0.3354.2184013654630.566666143371421
0.3454.32365968785080.585727607003697
0.3554.4315288356650.614729432992525
0.3654.54369150385610.65229262742685
0.3754.66156470694870.696844208892749
0.3854.78628228653940.746549147540216
0.3954.918677250660.799711072940031
0.455.05926793803760.85445989018798
0.4155.20825084794320.90886917245511
0.4255.36550208438280.9611325507022
0.4355.53058881615221.00944802167965
0.4455.70279183207621.05217107111059
0.4555.8811399504211.08790946256861
0.4656.06445650029631.11551654447514
0.4756.25141719596321.13412421352155
0.4856.44061747967791.14349306680573
0.4956.63064597542921.14368747266627
0.556.82015935299771.13526696642611
0.5157.00795297278411.11941151537209
0.5257.19302144465041.09747985322993
0.5357.37460383692231.07116444670347
0.5457.55220968302771.04238998857699
0.5557.72562394136891.01292614806406
0.5657.89489133022830.984370367267532
0.5758.06028260835090.958168059997125
0.5858.22224708969030.93524600850721
0.5958.38135678876710.916160427508063
0.658.53824806849310.901139374322298
0.6158.69356660106980.889919625281922
0.6258.8479209883660.882018822345965
0.6359.00184960354470.876846929301055
0.6459.15580408657820.873553062783936
0.6559.31015133239250.871416929462135
0.6659.4651936184280.869930874203415
0.6759.62120371418360.868740041872131
0.6859.77846863373820.867930248532613
0.6959.93733268389480.867946572601025
0.760.09822844428290.869581315418908
0.7160.26168419931880.873579581039564
0.7260.42829883816730.880611705369317
0.7360.59868054987490.891056878734126
0.7460.77335321553410.904244265848704
0.7560.95264287578050.91889924007771
0.7661.13656406852780.932984710034592
0.7761.32473012596920.94375262701278
0.7861.51631123449370.948472972635898
0.7961.71005906551360.944698609964798
0.861.90440871358460.930853001117948
0.8162.09766074667650.906420815486731
0.8262.28824209713250.872194736537387
0.8362.47504647584730.830422629661003
0.8462.65786097328030.784901433337921
0.8562.837887068910.74096378147578
0.8663.01834630859370.706225510165134
0.8763.20510583162970.691093832190347
0.8863.40715724906650.708773526206653
0.8963.63664998625790.772621679672967
0.963.90807776709220.889902294407887
0.9164.23625853191621.05527834335927
0.9264.63307520301781.2473687785464
0.9365.1036305253441.42945646863258
0.9465.64332213973791.55495166811537
0.9566.2376482123811.58138010982609
0.9666.86504288732291.49228790951763
0.9767.49893241884391.32176355934695
0.9868.10129929537521.16392238787047
0.9968.60617119993711.11605864875641


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')