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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 computationSun, 18 Oct 2009 08:57:10 -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/2009/Oct/18/t125587789057nwzzp3wve2a8v.htm/, Retrieved Mon, 29 Apr 2024 16:09:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47346, Retrieved Mon, 29 Apr 2024 16:09:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact155

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] [Harrel-Davis deci...] [2009-10-18 14:27:22] [ccfbf9d81e657cac862fa2c4f4dea5e7]
-   PD    [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2009-10-18 14:57:10] [8d07284ecb3aa8be600f3c4907b7b611] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.34
115.78
114.6
114.2
115.88
125.22
161.71
165.01
135.78
153.67
125.52
135.29
103.05
120.79
120.17
119.62
121.17
129.86
167.8
167.14
140.55
158.44
131.07
140.55
106.15
123.65
122.8
122.25
123.88
132.96
171.82
173.69
149.5
164.44
133.37
143.77
69.49
84.5
82.3
78.8
79.47
88.93
138.13
139.69
114.43
128.65
95.92
98.22
56.65
69.6
66.91
63.76
64
35.24
45.3
43.02
43.08
43.17
46.38
70.85
72.81
59.51
67.54
56.51
53.82
112.55
127.65
126.51
126.08
127.34

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47346&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47346&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47346&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0137.14329185973595.9207614757266
0.0239.60078376110013.82321580231295
0.0341.69075628010262.51173345662256
0.0443.27492643714722.44649115360958
0.0544.62412016017553.19904667431649
0.0646.01159421363884.17989727703223
0.0747.56930738495745.08369848331599
0.0849.30567472201925.75839638954238
0.0951.16348226909736.15438136239912
0.153.06713430038616.29973525639814
0.1154.95019182202916.26602079516346
0.1256.76683041949166.13205408758088
0.1358.49279164259075.95880565190285
0.1460.12101092253445.78300686569848
0.1561.65598133680195.62457347541092
0.1663.10926535756925.49932311677729
0.1764.49688436628015.42618275395173
0.1865.8381467764675.42841956801477
0.1967.1550400826675.5286575647302
0.268.47146170532125.74236587192085
0.2169.8119772831226.07325066586685
0.2271.20018680069386.51245525048878
0.2372.65699825517727.04019742575326
0.2474.1991377877277.63109405251087
0.2575.83812498934988.25683300800285
0.2677.57979428228968.88991586879652
0.2779.42431378971279.50422119615506
0.2881.366576981164510.0764221386872
0.2983.396824637811510.5854812505989
0.385.501379711806511.0133688390782
0.3187.663421496460611.3448463729626
0.3289.863766736816211.5681430531334
0.3392.081651520016511.6753455163798
0.3494.29551682444811.6628720177317
0.3596.483797296980611.5316053987007
0.3698.625703997989511.2863513635043
0.37100.7019823966510.9363697347600
0.38102.69561850248510.4941234552465
0.39104.5924584535859.97535847438023
0.4106.3817003349939.39865067504589
0.41108.0562136322708.7843185600398
0.42109.6126453566958.15370235192578
0.43111.0512859931417.52741203528395
0.44112.3756936840486.9241947751977
0.45113.5921078415496.35925803143968
0.46114.7087162125565.84314942441547
0.47115.7348633566965.38112200830839
0.48116.6802963168094.97343100551974
0.49117.5545321959014.61647061541502
0.5118.3664051520634.30435549875406
0.51119.1238142946774.03037173016491
0.52119.8336584586953.78849058093924
0.53120.5019171767653.57351323762552
0.54121.1338242260103.38243857776363
0.55121.7340812529623.21346063031945
0.56122.3070705634033.06597205041311
0.57122.8570423501872.93980270261009
0.58123.3882665002232.83589259252811
0.59123.9051485285202.75474245711584
0.6124.4123117556852.6978091961915
0.61124.9146449314432.66671658127984
0.62125.4173093258762.66268765133033
0.63125.9256956158412.68698663697585
0.64126.4453216609312.74039464441752
0.65126.9816687435132.82179913519277
0.66127.5399652291392.92889764810933
0.67128.1249403302703.05761456490288
0.68128.7405833014493.20199084388516
0.69129.3899518375543.35548056074639
0.7130.0750759582863.51111643949945
0.71130.7970004285533.66270544485642
0.72131.5560014582753.80528763233204
0.73132.3520036993473.93651001881377
0.74133.185210891334.05740331333283
0.75134.0569434788084.17264996058356
0.76134.9706410416444.29217023211969
0.77135.9329281996644.43059778239674
0.78136.9545582667214.6077476074004
0.79138.0509527337664.8462189061571
0.8139.24197999475.16719234457831
0.81140.5506133843505.58304543680243
0.82142.0002274309426.09010224046023
0.83143.6105589268406.66223077720572
0.84145.3927526730287.24987680998703
0.85147.3443448036757.78409753329875
0.86149.4453742726098.18613706950684
0.87151.6569110503998.38078697482184
0.88153.9230498711448.3115776709689
0.89156.1768389583387.9549127482423
0.9158.3498090499987.32867039802798
0.91160.3839389809026.49447699639646
0.92162.2442055040185.55127180300329
0.93163.9292396302954.62278018826134
0.94165.476603003493.84050701124047
0.95166.9573864750053.31823776857414
0.96168.4529942528263.08578479823781
0.97170.0081296693962.98974846836089
0.98171.5635494991322.74076028344732
0.99172.9005115809552.23945771080808

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 37.1432918597359 & 5.9207614757266 \tabularnewline
0.02 & 39.6007837611001 & 3.82321580231295 \tabularnewline
0.03 & 41.6907562801026 & 2.51173345662256 \tabularnewline
0.04 & 43.2749264371472 & 2.44649115360958 \tabularnewline
0.05 & 44.6241201601755 & 3.19904667431649 \tabularnewline
0.06 & 46.0115942136388 & 4.17989727703223 \tabularnewline
0.07 & 47.5693073849574 & 5.08369848331599 \tabularnewline
0.08 & 49.3056747220192 & 5.75839638954238 \tabularnewline
0.09 & 51.1634822690973 & 6.15438136239912 \tabularnewline
0.1 & 53.0671343003861 & 6.29973525639814 \tabularnewline
0.11 & 54.9501918220291 & 6.26602079516346 \tabularnewline
0.12 & 56.7668304194916 & 6.13205408758088 \tabularnewline
0.13 & 58.4927916425907 & 5.95880565190285 \tabularnewline
0.14 & 60.1210109225344 & 5.78300686569848 \tabularnewline
0.15 & 61.6559813368019 & 5.62457347541092 \tabularnewline
0.16 & 63.1092653575692 & 5.49932311677729 \tabularnewline
0.17 & 64.4968843662801 & 5.42618275395173 \tabularnewline
0.18 & 65.838146776467 & 5.42841956801477 \tabularnewline
0.19 & 67.155040082667 & 5.5286575647302 \tabularnewline
0.2 & 68.4714617053212 & 5.74236587192085 \tabularnewline
0.21 & 69.811977283122 & 6.07325066586685 \tabularnewline
0.22 & 71.2001868006938 & 6.51245525048878 \tabularnewline
0.23 & 72.6569982551772 & 7.04019742575326 \tabularnewline
0.24 & 74.199137787727 & 7.63109405251087 \tabularnewline
0.25 & 75.8381249893498 & 8.25683300800285 \tabularnewline
0.26 & 77.5797942822896 & 8.88991586879652 \tabularnewline
0.27 & 79.4243137897127 & 9.50422119615506 \tabularnewline
0.28 & 81.3665769811645 & 10.0764221386872 \tabularnewline
0.29 & 83.3968246378115 & 10.5854812505989 \tabularnewline
0.3 & 85.5013797118065 & 11.0133688390782 \tabularnewline
0.31 & 87.6634214964606 & 11.3448463729626 \tabularnewline
0.32 & 89.8637667368162 & 11.5681430531334 \tabularnewline
0.33 & 92.0816515200165 & 11.6753455163798 \tabularnewline
0.34 & 94.295516824448 & 11.6628720177317 \tabularnewline
0.35 & 96.4837972969806 & 11.5316053987007 \tabularnewline
0.36 & 98.6257039979895 & 11.2863513635043 \tabularnewline
0.37 & 100.70198239665 & 10.9363697347600 \tabularnewline
0.38 & 102.695618502485 & 10.4941234552465 \tabularnewline
0.39 & 104.592458453585 & 9.97535847438023 \tabularnewline
0.4 & 106.381700334993 & 9.39865067504589 \tabularnewline
0.41 & 108.056213632270 & 8.7843185600398 \tabularnewline
0.42 & 109.612645356695 & 8.15370235192578 \tabularnewline
0.43 & 111.051285993141 & 7.52741203528395 \tabularnewline
0.44 & 112.375693684048 & 6.9241947751977 \tabularnewline
0.45 & 113.592107841549 & 6.35925803143968 \tabularnewline
0.46 & 114.708716212556 & 5.84314942441547 \tabularnewline
0.47 & 115.734863356696 & 5.38112200830839 \tabularnewline
0.48 & 116.680296316809 & 4.97343100551974 \tabularnewline
0.49 & 117.554532195901 & 4.61647061541502 \tabularnewline
0.5 & 118.366405152063 & 4.30435549875406 \tabularnewline
0.51 & 119.123814294677 & 4.03037173016491 \tabularnewline
0.52 & 119.833658458695 & 3.78849058093924 \tabularnewline
0.53 & 120.501917176765 & 3.57351323762552 \tabularnewline
0.54 & 121.133824226010 & 3.38243857776363 \tabularnewline
0.55 & 121.734081252962 & 3.21346063031945 \tabularnewline
0.56 & 122.307070563403 & 3.06597205041311 \tabularnewline
0.57 & 122.857042350187 & 2.93980270261009 \tabularnewline
0.58 & 123.388266500223 & 2.83589259252811 \tabularnewline
0.59 & 123.905148528520 & 2.75474245711584 \tabularnewline
0.6 & 124.412311755685 & 2.6978091961915 \tabularnewline
0.61 & 124.914644931443 & 2.66671658127984 \tabularnewline
0.62 & 125.417309325876 & 2.66268765133033 \tabularnewline
0.63 & 125.925695615841 & 2.68698663697585 \tabularnewline
0.64 & 126.445321660931 & 2.74039464441752 \tabularnewline
0.65 & 126.981668743513 & 2.82179913519277 \tabularnewline
0.66 & 127.539965229139 & 2.92889764810933 \tabularnewline
0.67 & 128.124940330270 & 3.05761456490288 \tabularnewline
0.68 & 128.740583301449 & 3.20199084388516 \tabularnewline
0.69 & 129.389951837554 & 3.35548056074639 \tabularnewline
0.7 & 130.075075958286 & 3.51111643949945 \tabularnewline
0.71 & 130.797000428553 & 3.66270544485642 \tabularnewline
0.72 & 131.556001458275 & 3.80528763233204 \tabularnewline
0.73 & 132.352003699347 & 3.93651001881377 \tabularnewline
0.74 & 133.18521089133 & 4.05740331333283 \tabularnewline
0.75 & 134.056943478808 & 4.17264996058356 \tabularnewline
0.76 & 134.970641041644 & 4.29217023211969 \tabularnewline
0.77 & 135.932928199664 & 4.43059778239674 \tabularnewline
0.78 & 136.954558266721 & 4.6077476074004 \tabularnewline
0.79 & 138.050952733766 & 4.8462189061571 \tabularnewline
0.8 & 139.2419799947 & 5.16719234457831 \tabularnewline
0.81 & 140.550613384350 & 5.58304543680243 \tabularnewline
0.82 & 142.000227430942 & 6.09010224046023 \tabularnewline
0.83 & 143.610558926840 & 6.66223077720572 \tabularnewline
0.84 & 145.392752673028 & 7.24987680998703 \tabularnewline
0.85 & 147.344344803675 & 7.78409753329875 \tabularnewline
0.86 & 149.445374272609 & 8.18613706950684 \tabularnewline
0.87 & 151.656911050399 & 8.38078697482184 \tabularnewline
0.88 & 153.923049871144 & 8.3115776709689 \tabularnewline
0.89 & 156.176838958338 & 7.9549127482423 \tabularnewline
0.9 & 158.349809049998 & 7.32867039802798 \tabularnewline
0.91 & 160.383938980902 & 6.49447699639646 \tabularnewline
0.92 & 162.244205504018 & 5.55127180300329 \tabularnewline
0.93 & 163.929239630295 & 4.62278018826134 \tabularnewline
0.94 & 165.47660300349 & 3.84050701124047 \tabularnewline
0.95 & 166.957386475005 & 3.31823776857414 \tabularnewline
0.96 & 168.452994252826 & 3.08578479823781 \tabularnewline
0.97 & 170.008129669396 & 2.98974846836089 \tabularnewline
0.98 & 171.563549499132 & 2.74076028344732 \tabularnewline
0.99 & 172.900511580955 & 2.23945771080808 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47346&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]37.1432918597359[/C][C]5.9207614757266[/C][/ROW]
[ROW][C]0.02[/C][C]39.6007837611001[/C][C]3.82321580231295[/C][/ROW]
[ROW][C]0.03[/C][C]41.6907562801026[/C][C]2.51173345662256[/C][/ROW]
[ROW][C]0.04[/C][C]43.2749264371472[/C][C]2.44649115360958[/C][/ROW]
[ROW][C]0.05[/C][C]44.6241201601755[/C][C]3.19904667431649[/C][/ROW]
[ROW][C]0.06[/C][C]46.0115942136388[/C][C]4.17989727703223[/C][/ROW]
[ROW][C]0.07[/C][C]47.5693073849574[/C][C]5.08369848331599[/C][/ROW]
[ROW][C]0.08[/C][C]49.3056747220192[/C][C]5.75839638954238[/C][/ROW]
[ROW][C]0.09[/C][C]51.1634822690973[/C][C]6.15438136239912[/C][/ROW]
[ROW][C]0.1[/C][C]53.0671343003861[/C][C]6.29973525639814[/C][/ROW]
[ROW][C]0.11[/C][C]54.9501918220291[/C][C]6.26602079516346[/C][/ROW]
[ROW][C]0.12[/C][C]56.7668304194916[/C][C]6.13205408758088[/C][/ROW]
[ROW][C]0.13[/C][C]58.4927916425907[/C][C]5.95880565190285[/C][/ROW]
[ROW][C]0.14[/C][C]60.1210109225344[/C][C]5.78300686569848[/C][/ROW]
[ROW][C]0.15[/C][C]61.6559813368019[/C][C]5.62457347541092[/C][/ROW]
[ROW][C]0.16[/C][C]63.1092653575692[/C][C]5.49932311677729[/C][/ROW]
[ROW][C]0.17[/C][C]64.4968843662801[/C][C]5.42618275395173[/C][/ROW]
[ROW][C]0.18[/C][C]65.838146776467[/C][C]5.42841956801477[/C][/ROW]
[ROW][C]0.19[/C][C]67.155040082667[/C][C]5.5286575647302[/C][/ROW]
[ROW][C]0.2[/C][C]68.4714617053212[/C][C]5.74236587192085[/C][/ROW]
[ROW][C]0.21[/C][C]69.811977283122[/C][C]6.07325066586685[/C][/ROW]
[ROW][C]0.22[/C][C]71.2001868006938[/C][C]6.51245525048878[/C][/ROW]
[ROW][C]0.23[/C][C]72.6569982551772[/C][C]7.04019742575326[/C][/ROW]
[ROW][C]0.24[/C][C]74.199137787727[/C][C]7.63109405251087[/C][/ROW]
[ROW][C]0.25[/C][C]75.8381249893498[/C][C]8.25683300800285[/C][/ROW]
[ROW][C]0.26[/C][C]77.5797942822896[/C][C]8.88991586879652[/C][/ROW]
[ROW][C]0.27[/C][C]79.4243137897127[/C][C]9.50422119615506[/C][/ROW]
[ROW][C]0.28[/C][C]81.3665769811645[/C][C]10.0764221386872[/C][/ROW]
[ROW][C]0.29[/C][C]83.3968246378115[/C][C]10.5854812505989[/C][/ROW]
[ROW][C]0.3[/C][C]85.5013797118065[/C][C]11.0133688390782[/C][/ROW]
[ROW][C]0.31[/C][C]87.6634214964606[/C][C]11.3448463729626[/C][/ROW]
[ROW][C]0.32[/C][C]89.8637667368162[/C][C]11.5681430531334[/C][/ROW]
[ROW][C]0.33[/C][C]92.0816515200165[/C][C]11.6753455163798[/C][/ROW]
[ROW][C]0.34[/C][C]94.295516824448[/C][C]11.6628720177317[/C][/ROW]
[ROW][C]0.35[/C][C]96.4837972969806[/C][C]11.5316053987007[/C][/ROW]
[ROW][C]0.36[/C][C]98.6257039979895[/C][C]11.2863513635043[/C][/ROW]
[ROW][C]0.37[/C][C]100.70198239665[/C][C]10.9363697347600[/C][/ROW]
[ROW][C]0.38[/C][C]102.695618502485[/C][C]10.4941234552465[/C][/ROW]
[ROW][C]0.39[/C][C]104.592458453585[/C][C]9.97535847438023[/C][/ROW]
[ROW][C]0.4[/C][C]106.381700334993[/C][C]9.39865067504589[/C][/ROW]
[ROW][C]0.41[/C][C]108.056213632270[/C][C]8.7843185600398[/C][/ROW]
[ROW][C]0.42[/C][C]109.612645356695[/C][C]8.15370235192578[/C][/ROW]
[ROW][C]0.43[/C][C]111.051285993141[/C][C]7.52741203528395[/C][/ROW]
[ROW][C]0.44[/C][C]112.375693684048[/C][C]6.9241947751977[/C][/ROW]
[ROW][C]0.45[/C][C]113.592107841549[/C][C]6.35925803143968[/C][/ROW]
[ROW][C]0.46[/C][C]114.708716212556[/C][C]5.84314942441547[/C][/ROW]
[ROW][C]0.47[/C][C]115.734863356696[/C][C]5.38112200830839[/C][/ROW]
[ROW][C]0.48[/C][C]116.680296316809[/C][C]4.97343100551974[/C][/ROW]
[ROW][C]0.49[/C][C]117.554532195901[/C][C]4.61647061541502[/C][/ROW]
[ROW][C]0.5[/C][C]118.366405152063[/C][C]4.30435549875406[/C][/ROW]
[ROW][C]0.51[/C][C]119.123814294677[/C][C]4.03037173016491[/C][/ROW]
[ROW][C]0.52[/C][C]119.833658458695[/C][C]3.78849058093924[/C][/ROW]
[ROW][C]0.53[/C][C]120.501917176765[/C][C]3.57351323762552[/C][/ROW]
[ROW][C]0.54[/C][C]121.133824226010[/C][C]3.38243857776363[/C][/ROW]
[ROW][C]0.55[/C][C]121.734081252962[/C][C]3.21346063031945[/C][/ROW]
[ROW][C]0.56[/C][C]122.307070563403[/C][C]3.06597205041311[/C][/ROW]
[ROW][C]0.57[/C][C]122.857042350187[/C][C]2.93980270261009[/C][/ROW]
[ROW][C]0.58[/C][C]123.388266500223[/C][C]2.83589259252811[/C][/ROW]
[ROW][C]0.59[/C][C]123.905148528520[/C][C]2.75474245711584[/C][/ROW]
[ROW][C]0.6[/C][C]124.412311755685[/C][C]2.6978091961915[/C][/ROW]
[ROW][C]0.61[/C][C]124.914644931443[/C][C]2.66671658127984[/C][/ROW]
[ROW][C]0.62[/C][C]125.417309325876[/C][C]2.66268765133033[/C][/ROW]
[ROW][C]0.63[/C][C]125.925695615841[/C][C]2.68698663697585[/C][/ROW]
[ROW][C]0.64[/C][C]126.445321660931[/C][C]2.74039464441752[/C][/ROW]
[ROW][C]0.65[/C][C]126.981668743513[/C][C]2.82179913519277[/C][/ROW]
[ROW][C]0.66[/C][C]127.539965229139[/C][C]2.92889764810933[/C][/ROW]
[ROW][C]0.67[/C][C]128.124940330270[/C][C]3.05761456490288[/C][/ROW]
[ROW][C]0.68[/C][C]128.740583301449[/C][C]3.20199084388516[/C][/ROW]
[ROW][C]0.69[/C][C]129.389951837554[/C][C]3.35548056074639[/C][/ROW]
[ROW][C]0.7[/C][C]130.075075958286[/C][C]3.51111643949945[/C][/ROW]
[ROW][C]0.71[/C][C]130.797000428553[/C][C]3.66270544485642[/C][/ROW]
[ROW][C]0.72[/C][C]131.556001458275[/C][C]3.80528763233204[/C][/ROW]
[ROW][C]0.73[/C][C]132.352003699347[/C][C]3.93651001881377[/C][/ROW]
[ROW][C]0.74[/C][C]133.18521089133[/C][C]4.05740331333283[/C][/ROW]
[ROW][C]0.75[/C][C]134.056943478808[/C][C]4.17264996058356[/C][/ROW]
[ROW][C]0.76[/C][C]134.970641041644[/C][C]4.29217023211969[/C][/ROW]
[ROW][C]0.77[/C][C]135.932928199664[/C][C]4.43059778239674[/C][/ROW]
[ROW][C]0.78[/C][C]136.954558266721[/C][C]4.6077476074004[/C][/ROW]
[ROW][C]0.79[/C][C]138.050952733766[/C][C]4.8462189061571[/C][/ROW]
[ROW][C]0.8[/C][C]139.2419799947[/C][C]5.16719234457831[/C][/ROW]
[ROW][C]0.81[/C][C]140.550613384350[/C][C]5.58304543680243[/C][/ROW]
[ROW][C]0.82[/C][C]142.000227430942[/C][C]6.09010224046023[/C][/ROW]
[ROW][C]0.83[/C][C]143.610558926840[/C][C]6.66223077720572[/C][/ROW]
[ROW][C]0.84[/C][C]145.392752673028[/C][C]7.24987680998703[/C][/ROW]
[ROW][C]0.85[/C][C]147.344344803675[/C][C]7.78409753329875[/C][/ROW]
[ROW][C]0.86[/C][C]149.445374272609[/C][C]8.18613706950684[/C][/ROW]
[ROW][C]0.87[/C][C]151.656911050399[/C][C]8.38078697482184[/C][/ROW]
[ROW][C]0.88[/C][C]153.923049871144[/C][C]8.3115776709689[/C][/ROW]
[ROW][C]0.89[/C][C]156.176838958338[/C][C]7.9549127482423[/C][/ROW]
[ROW][C]0.9[/C][C]158.349809049998[/C][C]7.32867039802798[/C][/ROW]
[ROW][C]0.91[/C][C]160.383938980902[/C][C]6.49447699639646[/C][/ROW]
[ROW][C]0.92[/C][C]162.244205504018[/C][C]5.55127180300329[/C][/ROW]
[ROW][C]0.93[/C][C]163.929239630295[/C][C]4.62278018826134[/C][/ROW]
[ROW][C]0.94[/C][C]165.47660300349[/C][C]3.84050701124047[/C][/ROW]
[ROW][C]0.95[/C][C]166.957386475005[/C][C]3.31823776857414[/C][/ROW]
[ROW][C]0.96[/C][C]168.452994252826[/C][C]3.08578479823781[/C][/ROW]
[ROW][C]0.97[/C][C]170.008129669396[/C][C]2.98974846836089[/C][/ROW]
[ROW][C]0.98[/C][C]171.563549499132[/C][C]2.74076028344732[/C][/ROW]
[ROW][C]0.99[/C][C]172.900511580955[/C][C]2.23945771080808[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47346&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47346&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
0.0137.14329185973595.9207614757266
0.0239.60078376110013.82321580231295
0.0341.69075628010262.51173345662256
0.0443.27492643714722.44649115360958
0.0544.62412016017553.19904667431649
0.0646.01159421363884.17989727703223
0.0747.56930738495745.08369848331599
0.0849.30567472201925.75839638954238
0.0951.16348226909736.15438136239912
0.153.06713430038616.29973525639814
0.1154.95019182202916.26602079516346
0.1256.76683041949166.13205408758088
0.1358.49279164259075.95880565190285
0.1460.12101092253445.78300686569848
0.1561.65598133680195.62457347541092
0.1663.10926535756925.49932311677729
0.1764.49688436628015.42618275395173
0.1865.8381467764675.42841956801477
0.1967.1550400826675.5286575647302
0.268.47146170532125.74236587192085
0.2169.8119772831226.07325066586685
0.2271.20018680069386.51245525048878
0.2372.65699825517727.04019742575326
0.2474.1991377877277.63109405251087
0.2575.83812498934988.25683300800285
0.2677.57979428228968.88991586879652
0.2779.42431378971279.50422119615506
0.2881.366576981164510.0764221386872
0.2983.396824637811510.5854812505989
0.385.501379711806511.0133688390782
0.3187.663421496460611.3448463729626
0.3289.863766736816211.5681430531334
0.3392.081651520016511.6753455163798
0.3494.29551682444811.6628720177317
0.3596.483797296980611.5316053987007
0.3698.625703997989511.2863513635043
0.37100.7019823966510.9363697347600
0.38102.69561850248510.4941234552465
0.39104.5924584535859.97535847438023
0.4106.3817003349939.39865067504589
0.41108.0562136322708.7843185600398
0.42109.6126453566958.15370235192578
0.43111.0512859931417.52741203528395
0.44112.3756936840486.9241947751977
0.45113.5921078415496.35925803143968
0.46114.7087162125565.84314942441547
0.47115.7348633566965.38112200830839
0.48116.6802963168094.97343100551974
0.49117.5545321959014.61647061541502
0.5118.3664051520634.30435549875406
0.51119.1238142946774.03037173016491
0.52119.8336584586953.78849058093924
0.53120.5019171767653.57351323762552
0.54121.1338242260103.38243857776363
0.55121.7340812529623.21346063031945
0.56122.3070705634033.06597205041311
0.57122.8570423501872.93980270261009
0.58123.3882665002232.83589259252811
0.59123.9051485285202.75474245711584
0.6124.4123117556852.6978091961915
0.61124.9146449314432.66671658127984
0.62125.4173093258762.66268765133033
0.63125.9256956158412.68698663697585
0.64126.4453216609312.74039464441752
0.65126.9816687435132.82179913519277
0.66127.5399652291392.92889764810933
0.67128.1249403302703.05761456490288
0.68128.7405833014493.20199084388516
0.69129.3899518375543.35548056074639
0.7130.0750759582863.51111643949945
0.71130.7970004285533.66270544485642
0.72131.5560014582753.80528763233204
0.73132.3520036993473.93651001881377
0.74133.185210891334.05740331333283
0.75134.0569434788084.17264996058356
0.76134.9706410416444.29217023211969
0.77135.9329281996644.43059778239674
0.78136.9545582667214.6077476074004
0.79138.0509527337664.8462189061571
0.8139.24197999475.16719234457831
0.81140.5506133843505.58304543680243
0.82142.0002274309426.09010224046023
0.83143.6105589268406.66223077720572
0.84145.3927526730287.24987680998703
0.85147.3443448036757.78409753329875
0.86149.4453742726098.18613706950684
0.87151.6569110503998.38078697482184
0.88153.9230498711448.3115776709689
0.89156.1768389583387.9549127482423
0.9158.3498090499987.32867039802798
0.91160.3839389809026.49447699639646
0.92162.2442055040185.55127180300329
0.93163.9292396302954.62278018826134
0.94165.476603003493.84050701124047
0.95166.9573864750053.31823776857414
0.96168.4529942528263.08578479823781
0.97170.0081296693962.98974846836089
0.98171.5635494991322.74076028344732
0.99172.9005115809552.23945771080808


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')