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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 computationFri, 17 Feb 2012 03:27:50 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/17/t13294672953vwbm69rpqp36vm.htm/, Retrieved Sat, 27 Apr 2024 10:36:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162735, Retrieved Sat, 27 Apr 2024 10:36:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

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 prij...] [2012-02-17 08:27:50] [93d8c933de66a9379169e5b29ab2e0c1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
65
65.3
62.9
63.5
62.1
59.3
61.6
61.5
60.1
59.5
62.7
65.5
63.8
63.8
62.7
62.3
62.4
64.8
66.4
65.1
67.4
68.8
68.6
71.5
75
84.3
84
79.1
78.8
82.7
85.3
84.5
80.8
70.1
68.2
68.1
72.3
73.1
71.5
74.1
80.3
80.6
81.4
87.4
89.3
93.2
92.8
96.8
100.3
95.6
89
87.4
86.7
92.8
98.6
100.8
105.5
107.8
113.7
120.3

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=162735&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=162735&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162735&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
0.0159.40199326695730.329283608327664
0.0259.60515392437910.56199684241543
0.0359.8941787846680.783304584941055
0.0460.23783675303830.920302486609286
0.0560.60068829705160.956073478051892
0.0660.95227549792140.912494360879537
0.0761.27249127002650.826490173105751
0.0861.55256519234950.731827695224512
0.0961.7928058765550.650482819908473
0.161.9990782380190.592574271758145
0.1162.17961273987750.560417308409674
0.1262.34285394362930.552671058543795
0.1362.49633602111060.566563896320115
0.1462.64625540141420.598439369478264
0.1562.79740369545820.643903195853885
0.1662.9532469221740.698477564363987
0.1763.11605968787980.757803890269045
0.1863.28709442688780.818098190707966
0.1963.4667880955430.876575576841849
0.263.65500304607120.931746869579218
0.2163.85128499808060.983192517510731
0.2264.055110679671.03186771685883
0.2364.2660951028381.07958862252014
0.2464.4841335121371.12881659200034
0.2564.70946380871631.18182274920667
0.2664.94264901918091.24068551044541
0.2765.18449326739091.30622496682368
0.2865.43591592243651.37840132386899
0.2965.69781481519281.455868206676
0.365.97094928762171.53684790828002
0.3166.25586740494331.61923058579453
0.3266.55289046612991.70135986516921
0.3366.86215470744111.78228588847513
0.3467.18369796457781.86184732740266
0.3567.51757074950741.94118594327095
0.3667.86394821300892.02162843631693
0.3768.22322175106522.10550966857042
0.3868.59605511903222.19465357518572
0.3968.98339758125592.2910235831567
0.469.38645358286362.39600437658653
0.4169.80661315217942.51013150155126
0.4270.24534933756692.63361250332389
0.4370.70408918129112.76582652678745
0.4471.18406445664312.90508881937466
0.4571.6861490977313.04903902073547
0.4672.21069277338583.19388509983781
0.4772.75736421238673.33494476877127
0.4873.3250224391083.46653941432883
0.4973.9116371043413.58242350995554
0.574.51427863438333.67639530562882
0.5175.12919369045113.74284897912092
0.5275.751971382623.77759371275435
0.5376.37779221140113.77839448803043
0.5477.00173742295323.74531934913078
0.5577.61912456635483.68105832378271
0.5678.22582849823943.59037361095771
0.5778.8185477903923.47977319598959
0.5879.39498472246573.3569838858256
0.5979.95392127032023.2295119327343
0.680.4951907790043.10472013097132
0.6181.01956168175442.98797420694154
0.6281.52856224943562.88350252211998
0.6382.02428153799322.79352232165295
0.6482.50918062953282.7187688573965
0.6582.98594076641292.65936618500971
0.6683.45736316714182.61468792540859
0.6783.92632192796632.58436543900975
0.6884.39575913522952.56816308881641
0.6984.86870225699272.56645509303972
0.785.34827939894832.57969940570628
0.7185.83770874377692.60833656426664
0.7286.34024451973472.65248058688445
0.7386.85907266670242.71142447655166
0.7487.3971636713082.78333241194757
0.7587.95710532596782.86505558878828
0.7688.54095061491462.95209431383392
0.7789.15012097924793.03934253807947
0.7889.7853990649043.12165414360623
0.7990.44702691163623.1948286224491
0.891.13489965751593.25646296096819
0.8191.84882106179533.30630832695602
0.8292.58877860927653.34580047879815
0.8393.35521341330513.3775903611659
0.8494.14930426167853.40418429843179
0.8594.97334009907983.42805204999599
0.8695.83128865353753.45196450620206
0.8796.72964363140663.48097457547411
0.8897.67853156181323.5247166237581
0.8998.69291341692243.59786700436881
0.999.79361745175293.71771984551829

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 59.4019932669573 & 0.329283608327664 \tabularnewline
0.02 & 59.6051539243791 & 0.56199684241543 \tabularnewline
0.03 & 59.894178784668 & 0.783304584941055 \tabularnewline
0.04 & 60.2378367530383 & 0.920302486609286 \tabularnewline
0.05 & 60.6006882970516 & 0.956073478051892 \tabularnewline
0.06 & 60.9522754979214 & 0.912494360879537 \tabularnewline
0.07 & 61.2724912700265 & 0.826490173105751 \tabularnewline
0.08 & 61.5525651923495 & 0.731827695224512 \tabularnewline
0.09 & 61.792805876555 & 0.650482819908473 \tabularnewline
0.1 & 61.999078238019 & 0.592574271758145 \tabularnewline
0.11 & 62.1796127398775 & 0.560417308409674 \tabularnewline
0.12 & 62.3428539436293 & 0.552671058543795 \tabularnewline
0.13 & 62.4963360211106 & 0.566563896320115 \tabularnewline
0.14 & 62.6462554014142 & 0.598439369478264 \tabularnewline
0.15 & 62.7974036954582 & 0.643903195853885 \tabularnewline
0.16 & 62.953246922174 & 0.698477564363987 \tabularnewline
0.17 & 63.1160596878798 & 0.757803890269045 \tabularnewline
0.18 & 63.2870944268878 & 0.818098190707966 \tabularnewline
0.19 & 63.466788095543 & 0.876575576841849 \tabularnewline
0.2 & 63.6550030460712 & 0.931746869579218 \tabularnewline
0.21 & 63.8512849980806 & 0.983192517510731 \tabularnewline
0.22 & 64.05511067967 & 1.03186771685883 \tabularnewline
0.23 & 64.266095102838 & 1.07958862252014 \tabularnewline
0.24 & 64.484133512137 & 1.12881659200034 \tabularnewline
0.25 & 64.7094638087163 & 1.18182274920667 \tabularnewline
0.26 & 64.9426490191809 & 1.24068551044541 \tabularnewline
0.27 & 65.1844932673909 & 1.30622496682368 \tabularnewline
0.28 & 65.4359159224365 & 1.37840132386899 \tabularnewline
0.29 & 65.6978148151928 & 1.455868206676 \tabularnewline
0.3 & 65.9709492876217 & 1.53684790828002 \tabularnewline
0.31 & 66.2558674049433 & 1.61923058579453 \tabularnewline
0.32 & 66.5528904661299 & 1.70135986516921 \tabularnewline
0.33 & 66.8621547074411 & 1.78228588847513 \tabularnewline
0.34 & 67.1836979645778 & 1.86184732740266 \tabularnewline
0.35 & 67.5175707495074 & 1.94118594327095 \tabularnewline
0.36 & 67.8639482130089 & 2.02162843631693 \tabularnewline
0.37 & 68.2232217510652 & 2.10550966857042 \tabularnewline
0.38 & 68.5960551190322 & 2.19465357518572 \tabularnewline
0.39 & 68.9833975812559 & 2.2910235831567 \tabularnewline
0.4 & 69.3864535828636 & 2.39600437658653 \tabularnewline
0.41 & 69.8066131521794 & 2.51013150155126 \tabularnewline
0.42 & 70.2453493375669 & 2.63361250332389 \tabularnewline
0.43 & 70.7040891812911 & 2.76582652678745 \tabularnewline
0.44 & 71.1840644566431 & 2.90508881937466 \tabularnewline
0.45 & 71.686149097731 & 3.04903902073547 \tabularnewline
0.46 & 72.2106927733858 & 3.19388509983781 \tabularnewline
0.47 & 72.7573642123867 & 3.33494476877127 \tabularnewline
0.48 & 73.325022439108 & 3.46653941432883 \tabularnewline
0.49 & 73.911637104341 & 3.58242350995554 \tabularnewline
0.5 & 74.5142786343833 & 3.67639530562882 \tabularnewline
0.51 & 75.1291936904511 & 3.74284897912092 \tabularnewline
0.52 & 75.75197138262 & 3.77759371275435 \tabularnewline
0.53 & 76.3777922114011 & 3.77839448803043 \tabularnewline
0.54 & 77.0017374229532 & 3.74531934913078 \tabularnewline
0.55 & 77.6191245663548 & 3.68105832378271 \tabularnewline
0.56 & 78.2258284982394 & 3.59037361095771 \tabularnewline
0.57 & 78.818547790392 & 3.47977319598959 \tabularnewline
0.58 & 79.3949847224657 & 3.3569838858256 \tabularnewline
0.59 & 79.9539212703202 & 3.2295119327343 \tabularnewline
0.6 & 80.495190779004 & 3.10472013097132 \tabularnewline
0.61 & 81.0195616817544 & 2.98797420694154 \tabularnewline
0.62 & 81.5285622494356 & 2.88350252211998 \tabularnewline
0.63 & 82.0242815379932 & 2.79352232165295 \tabularnewline
0.64 & 82.5091806295328 & 2.7187688573965 \tabularnewline
0.65 & 82.9859407664129 & 2.65936618500971 \tabularnewline
0.66 & 83.4573631671418 & 2.61468792540859 \tabularnewline
0.67 & 83.9263219279663 & 2.58436543900975 \tabularnewline
0.68 & 84.3957591352295 & 2.56816308881641 \tabularnewline
0.69 & 84.8687022569927 & 2.56645509303972 \tabularnewline
0.7 & 85.3482793989483 & 2.57969940570628 \tabularnewline
0.71 & 85.8377087437769 & 2.60833656426664 \tabularnewline
0.72 & 86.3402445197347 & 2.65248058688445 \tabularnewline
0.73 & 86.8590726667024 & 2.71142447655166 \tabularnewline
0.74 & 87.397163671308 & 2.78333241194757 \tabularnewline
0.75 & 87.9571053259678 & 2.86505558878828 \tabularnewline
0.76 & 88.5409506149146 & 2.95209431383392 \tabularnewline
0.77 & 89.1501209792479 & 3.03934253807947 \tabularnewline
0.78 & 89.785399064904 & 3.12165414360623 \tabularnewline
0.79 & 90.4470269116362 & 3.1948286224491 \tabularnewline
0.8 & 91.1348996575159 & 3.25646296096819 \tabularnewline
0.81 & 91.8488210617953 & 3.30630832695602 \tabularnewline
0.82 & 92.5887786092765 & 3.34580047879815 \tabularnewline
0.83 & 93.3552134133051 & 3.3775903611659 \tabularnewline
0.84 & 94.1493042616785 & 3.40418429843179 \tabularnewline
0.85 & 94.9733400990798 & 3.42805204999599 \tabularnewline
0.86 & 95.8312886535375 & 3.45196450620206 \tabularnewline
0.87 & 96.7296436314066 & 3.48097457547411 \tabularnewline
0.88 & 97.6785315618132 & 3.5247166237581 \tabularnewline
0.89 & 98.6929134169224 & 3.59786700436881 \tabularnewline
0.9 & 99.7936174517529 & 3.71771984551829 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162735&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]59.4019932669573[/C][C]0.329283608327664[/C][/ROW]
[ROW][C]0.02[/C][C]59.6051539243791[/C][C]0.56199684241543[/C][/ROW]
[ROW][C]0.03[/C][C]59.894178784668[/C][C]0.783304584941055[/C][/ROW]
[ROW][C]0.04[/C][C]60.2378367530383[/C][C]0.920302486609286[/C][/ROW]
[ROW][C]0.05[/C][C]60.6006882970516[/C][C]0.956073478051892[/C][/ROW]
[ROW][C]0.06[/C][C]60.9522754979214[/C][C]0.912494360879537[/C][/ROW]
[ROW][C]0.07[/C][C]61.2724912700265[/C][C]0.826490173105751[/C][/ROW]
[ROW][C]0.08[/C][C]61.5525651923495[/C][C]0.731827695224512[/C][/ROW]
[ROW][C]0.09[/C][C]61.792805876555[/C][C]0.650482819908473[/C][/ROW]
[ROW][C]0.1[/C][C]61.999078238019[/C][C]0.592574271758145[/C][/ROW]
[ROW][C]0.11[/C][C]62.1796127398775[/C][C]0.560417308409674[/C][/ROW]
[ROW][C]0.12[/C][C]62.3428539436293[/C][C]0.552671058543795[/C][/ROW]
[ROW][C]0.13[/C][C]62.4963360211106[/C][C]0.566563896320115[/C][/ROW]
[ROW][C]0.14[/C][C]62.6462554014142[/C][C]0.598439369478264[/C][/ROW]
[ROW][C]0.15[/C][C]62.7974036954582[/C][C]0.643903195853885[/C][/ROW]
[ROW][C]0.16[/C][C]62.953246922174[/C][C]0.698477564363987[/C][/ROW]
[ROW][C]0.17[/C][C]63.1160596878798[/C][C]0.757803890269045[/C][/ROW]
[ROW][C]0.18[/C][C]63.2870944268878[/C][C]0.818098190707966[/C][/ROW]
[ROW][C]0.19[/C][C]63.466788095543[/C][C]0.876575576841849[/C][/ROW]
[ROW][C]0.2[/C][C]63.6550030460712[/C][C]0.931746869579218[/C][/ROW]
[ROW][C]0.21[/C][C]63.8512849980806[/C][C]0.983192517510731[/C][/ROW]
[ROW][C]0.22[/C][C]64.05511067967[/C][C]1.03186771685883[/C][/ROW]
[ROW][C]0.23[/C][C]64.266095102838[/C][C]1.07958862252014[/C][/ROW]
[ROW][C]0.24[/C][C]64.484133512137[/C][C]1.12881659200034[/C][/ROW]
[ROW][C]0.25[/C][C]64.7094638087163[/C][C]1.18182274920667[/C][/ROW]
[ROW][C]0.26[/C][C]64.9426490191809[/C][C]1.24068551044541[/C][/ROW]
[ROW][C]0.27[/C][C]65.1844932673909[/C][C]1.30622496682368[/C][/ROW]
[ROW][C]0.28[/C][C]65.4359159224365[/C][C]1.37840132386899[/C][/ROW]
[ROW][C]0.29[/C][C]65.6978148151928[/C][C]1.455868206676[/C][/ROW]
[ROW][C]0.3[/C][C]65.9709492876217[/C][C]1.53684790828002[/C][/ROW]
[ROW][C]0.31[/C][C]66.2558674049433[/C][C]1.61923058579453[/C][/ROW]
[ROW][C]0.32[/C][C]66.5528904661299[/C][C]1.70135986516921[/C][/ROW]
[ROW][C]0.33[/C][C]66.8621547074411[/C][C]1.78228588847513[/C][/ROW]
[ROW][C]0.34[/C][C]67.1836979645778[/C][C]1.86184732740266[/C][/ROW]
[ROW][C]0.35[/C][C]67.5175707495074[/C][C]1.94118594327095[/C][/ROW]
[ROW][C]0.36[/C][C]67.8639482130089[/C][C]2.02162843631693[/C][/ROW]
[ROW][C]0.37[/C][C]68.2232217510652[/C][C]2.10550966857042[/C][/ROW]
[ROW][C]0.38[/C][C]68.5960551190322[/C][C]2.19465357518572[/C][/ROW]
[ROW][C]0.39[/C][C]68.9833975812559[/C][C]2.2910235831567[/C][/ROW]
[ROW][C]0.4[/C][C]69.3864535828636[/C][C]2.39600437658653[/C][/ROW]
[ROW][C]0.41[/C][C]69.8066131521794[/C][C]2.51013150155126[/C][/ROW]
[ROW][C]0.42[/C][C]70.2453493375669[/C][C]2.63361250332389[/C][/ROW]
[ROW][C]0.43[/C][C]70.7040891812911[/C][C]2.76582652678745[/C][/ROW]
[ROW][C]0.44[/C][C]71.1840644566431[/C][C]2.90508881937466[/C][/ROW]
[ROW][C]0.45[/C][C]71.686149097731[/C][C]3.04903902073547[/C][/ROW]
[ROW][C]0.46[/C][C]72.2106927733858[/C][C]3.19388509983781[/C][/ROW]
[ROW][C]0.47[/C][C]72.7573642123867[/C][C]3.33494476877127[/C][/ROW]
[ROW][C]0.48[/C][C]73.325022439108[/C][C]3.46653941432883[/C][/ROW]
[ROW][C]0.49[/C][C]73.911637104341[/C][C]3.58242350995554[/C][/ROW]
[ROW][C]0.5[/C][C]74.5142786343833[/C][C]3.67639530562882[/C][/ROW]
[ROW][C]0.51[/C][C]75.1291936904511[/C][C]3.74284897912092[/C][/ROW]
[ROW][C]0.52[/C][C]75.75197138262[/C][C]3.77759371275435[/C][/ROW]
[ROW][C]0.53[/C][C]76.3777922114011[/C][C]3.77839448803043[/C][/ROW]
[ROW][C]0.54[/C][C]77.0017374229532[/C][C]3.74531934913078[/C][/ROW]
[ROW][C]0.55[/C][C]77.6191245663548[/C][C]3.68105832378271[/C][/ROW]
[ROW][C]0.56[/C][C]78.2258284982394[/C][C]3.59037361095771[/C][/ROW]
[ROW][C]0.57[/C][C]78.818547790392[/C][C]3.47977319598959[/C][/ROW]
[ROW][C]0.58[/C][C]79.3949847224657[/C][C]3.3569838858256[/C][/ROW]
[ROW][C]0.59[/C][C]79.9539212703202[/C][C]3.2295119327343[/C][/ROW]
[ROW][C]0.6[/C][C]80.495190779004[/C][C]3.10472013097132[/C][/ROW]
[ROW][C]0.61[/C][C]81.0195616817544[/C][C]2.98797420694154[/C][/ROW]
[ROW][C]0.62[/C][C]81.5285622494356[/C][C]2.88350252211998[/C][/ROW]
[ROW][C]0.63[/C][C]82.0242815379932[/C][C]2.79352232165295[/C][/ROW]
[ROW][C]0.64[/C][C]82.5091806295328[/C][C]2.7187688573965[/C][/ROW]
[ROW][C]0.65[/C][C]82.9859407664129[/C][C]2.65936618500971[/C][/ROW]
[ROW][C]0.66[/C][C]83.4573631671418[/C][C]2.61468792540859[/C][/ROW]
[ROW][C]0.67[/C][C]83.9263219279663[/C][C]2.58436543900975[/C][/ROW]
[ROW][C]0.68[/C][C]84.3957591352295[/C][C]2.56816308881641[/C][/ROW]
[ROW][C]0.69[/C][C]84.8687022569927[/C][C]2.56645509303972[/C][/ROW]
[ROW][C]0.7[/C][C]85.3482793989483[/C][C]2.57969940570628[/C][/ROW]
[ROW][C]0.71[/C][C]85.8377087437769[/C][C]2.60833656426664[/C][/ROW]
[ROW][C]0.72[/C][C]86.3402445197347[/C][C]2.65248058688445[/C][/ROW]
[ROW][C]0.73[/C][C]86.8590726667024[/C][C]2.71142447655166[/C][/ROW]
[ROW][C]0.74[/C][C]87.397163671308[/C][C]2.78333241194757[/C][/ROW]
[ROW][C]0.75[/C][C]87.9571053259678[/C][C]2.86505558878828[/C][/ROW]
[ROW][C]0.76[/C][C]88.5409506149146[/C][C]2.95209431383392[/C][/ROW]
[ROW][C]0.77[/C][C]89.1501209792479[/C][C]3.03934253807947[/C][/ROW]
[ROW][C]0.78[/C][C]89.785399064904[/C][C]3.12165414360623[/C][/ROW]
[ROW][C]0.79[/C][C]90.4470269116362[/C][C]3.1948286224491[/C][/ROW]
[ROW][C]0.8[/C][C]91.1348996575159[/C][C]3.25646296096819[/C][/ROW]
[ROW][C]0.81[/C][C]91.8488210617953[/C][C]3.30630832695602[/C][/ROW]
[ROW][C]0.82[/C][C]92.5887786092765[/C][C]3.34580047879815[/C][/ROW]
[ROW][C]0.83[/C][C]93.3552134133051[/C][C]3.3775903611659[/C][/ROW]
[ROW][C]0.84[/C][C]94.1493042616785[/C][C]3.40418429843179[/C][/ROW]
[ROW][C]0.85[/C][C]94.9733400990798[/C][C]3.42805204999599[/C][/ROW]
[ROW][C]0.86[/C][C]95.8312886535375[/C][C]3.45196450620206[/C][/ROW]
[ROW][C]0.87[/C][C]96.7296436314066[/C][C]3.48097457547411[/C][/ROW]
[ROW][C]0.88[/C][C]97.6785315618132[/C][C]3.5247166237581[/C][/ROW]
[ROW][C]0.89[/C][C]98.6929134169224[/C][C]3.59786700436881[/C][/ROW]
[ROW][C]0.9[/C][C]99.7936174517529[/C][C]3.71771984551829[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162735&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162735&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
0.0159.40199326695730.329283608327664
0.0259.60515392437910.56199684241543
0.0359.8941787846680.783304584941055
0.0460.23783675303830.920302486609286
0.0560.60068829705160.956073478051892
0.0660.95227549792140.912494360879537
0.0761.27249127002650.826490173105751
0.0861.55256519234950.731827695224512
0.0961.7928058765550.650482819908473
0.161.9990782380190.592574271758145
0.1162.17961273987750.560417308409674
0.1262.34285394362930.552671058543795
0.1362.49633602111060.566563896320115
0.1462.64625540141420.598439369478264
0.1562.79740369545820.643903195853885
0.1662.9532469221740.698477564363987
0.1763.11605968787980.757803890269045
0.1863.28709442688780.818098190707966
0.1963.4667880955430.876575576841849
0.263.65500304607120.931746869579218
0.2163.85128499808060.983192517510731
0.2264.055110679671.03186771685883
0.2364.2660951028381.07958862252014
0.2464.4841335121371.12881659200034
0.2564.70946380871631.18182274920667
0.2664.94264901918091.24068551044541
0.2765.18449326739091.30622496682368
0.2865.43591592243651.37840132386899
0.2965.69781481519281.455868206676
0.365.97094928762171.53684790828002
0.3166.25586740494331.61923058579453
0.3266.55289046612991.70135986516921
0.3366.86215470744111.78228588847513
0.3467.18369796457781.86184732740266
0.3567.51757074950741.94118594327095
0.3667.86394821300892.02162843631693
0.3768.22322175106522.10550966857042
0.3868.59605511903222.19465357518572
0.3968.98339758125592.2910235831567
0.469.38645358286362.39600437658653
0.4169.80661315217942.51013150155126
0.4270.24534933756692.63361250332389
0.4370.70408918129112.76582652678745
0.4471.18406445664312.90508881937466
0.4571.6861490977313.04903902073547
0.4672.21069277338583.19388509983781
0.4772.75736421238673.33494476877127
0.4873.3250224391083.46653941432883
0.4973.9116371043413.58242350995554
0.574.51427863438333.67639530562882
0.5175.12919369045113.74284897912092
0.5275.751971382623.77759371275435
0.5376.37779221140113.77839448803043
0.5477.00173742295323.74531934913078
0.5577.61912456635483.68105832378271
0.5678.22582849823943.59037361095771
0.5778.8185477903923.47977319598959
0.5879.39498472246573.3569838858256
0.5979.95392127032023.2295119327343
0.680.4951907790043.10472013097132
0.6181.01956168175442.98797420694154
0.6281.52856224943562.88350252211998
0.6382.02428153799322.79352232165295
0.6482.50918062953282.7187688573965
0.6582.98594076641292.65936618500971
0.6683.45736316714182.61468792540859
0.6783.92632192796632.58436543900975
0.6884.39575913522952.56816308881641
0.6984.86870225699272.56645509303972
0.785.34827939894832.57969940570628
0.7185.83770874377692.60833656426664
0.7286.34024451973472.65248058688445
0.7386.85907266670242.71142447655166
0.7487.3971636713082.78333241194757
0.7587.95710532596782.86505558878828
0.7688.54095061491462.95209431383392
0.7789.15012097924793.03934253807947
0.7889.7853990649043.12165414360623
0.7990.44702691163623.1948286224491
0.891.13489965751593.25646296096819
0.8191.84882106179533.30630832695602
0.8292.58877860927653.34580047879815
0.8393.35521341330513.3775903611659
0.8494.14930426167853.40418429843179
0.8594.97334009907983.42805204999599
0.8695.83128865353753.45196450620206
0.8796.72964363140663.48097457547411
0.8897.67853156181323.5247166237581
0.8998.69291341692243.59786700436881
0.999.79361745175293.71771984551829


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.9 ; 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')