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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, 02 Mar 2008 14:15:36 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t1204492564juqoggzst2aqfom.htm/, Retrieved Mon, 06 May 2024 21:05:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9765, Retrieved Mon, 06 May 2024 21:05:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165

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] [hotelprijzen perc...] [2008-03-02 21:15:36] [f1389fff7fe55b9c206fc4c1b90cd78e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
65.05
65.84
66.6
67.55
68.07
69.06
69.06
69.11
69.29
69.38
69.28
69.75
69.9
70.21
70.48
71.55
72.18
72.64
72.77
72.74
73.13
73.44
73.34
73.34
73.81
74.26
74.72
75.11
75.26
75.89
75.91
76.43
76.56
76.76
76.76
76.56
76.82
77.09
77.51
77.76
77.86
77.89
77.94
77.99
78.17
78.91
78.87
78.88
79.08
79.41
79.51
79.73
80.38
80.56
80.46
80.45
80.58
80.68
80.52
81.49
81.66
81.95
82.3
82.4
83.14
83.17
83.11
83.21
83.33
83.88
83.8
83.73

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9765&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9765&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9765&T=0

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


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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0165.33778511234320.798098652598472
0.0265.80695676873180.889336907682632
0.0366.34123843882250.998104790156619
0.0466.87076872055731.05562741727808
0.0567.36301077866591.04239266985561
0.0667.80137661574550.96844208367848
0.0768.17726481659140.854992266959432
0.0868.48929724198450.727060995818332
0.0968.74306670691810.609346610654543
0.168.94961918467320.523091379944561
0.1169.12309879313380.482568157512559
0.1269.27833067911350.491869273201448
0.1369.42889264478190.544637413260437
0.1469.5858948922530.629539752630505
0.1569.75741229187620.735008559307128
0.1669.94837641999940.850043054454246
0.1770.16073541389960.964473454980579
0.1870.39376613451381.06840774845886
0.1970.64450267299261.15316555311617
0.270.90828421136671.21245141235776
0.2171.17941725346011.24243091415215
0.2271.45191108269241.24339599882525
0.2371.7202076115371.21879471943624
0.2471.97980851484121.17516476482634
0.2572.2277123056431.12090179317989
0.2672.46260793233661.06480723366746
0.2772.68481748442091.01533242654084
0.2872.89602455871680.978771971727371
0.2973.09885584298330.959114942350155
0.373.29639658190580.957079640012146
0.3173.49171678069170.970811067848554
0.3273.68746915314030.996076478250376
0.3373.88559810295491.02796379109138
0.3474.08717682815991.06128584424469
0.3574.2923705493561.09062857785967
0.3674.50050961182261.11237040251427
0.3774.71024713636361.12323470358828
0.3874.91977151841771.12184548735179
0.3975.12704355334651.10756087202258
0.475.33003034536431.08153276494419
0.4175.52691252747231.04540320977921
0.4275.71624690935771.00177433128120
0.4375.89707291119840.953654828639244
0.4476.06895766605550.904369276272182
0.4576.23198122792980.856677556560493
0.4676.38666961624220.813126406120412
0.4776.53388899294930.775501446913194
0.4876.6747184176210.744814253807921
0.4976.81032056061810.720939196305017
0.576.9418288208190.703364365252414
0.5177.07026529191590.690728132437687
0.5277.1964974393350.681881447578871
0.5377.32123340387320.675490356357488
0.5477.44504825747250.67128615711517
0.5577.56842807822630.668439120196871
0.5677.69181668306140.667428494747283
0.5777.8156516327190.668646056106132
0.5877.94038098531430.672192676430259
0.5978.06645859898880.67810133005351
0.678.19432156478180.686347611424497
0.6178.32435688511760.696198569160842
0.6278.45686501320630.707017550201388
0.6378.59202575979250.718128661199576
0.6478.72986884268320.728476326083247
0.6578.87024896569990.73743184525331
0.6679.01282538352070.743966548828078
0.6779.15704893708420.747028154306396
0.6879.30216451044160.745699606287429
0.6979.44724138894390.738939845616487
0.779.59124510972820.726058656839529
0.7179.73315964068870.706951593103563
0.7279.87215735613160.682544206002156
0.7380.00779802626980.654801352564509
0.7480.1402211414950.626977565426015
0.7580.27028420638590.603261688291343
0.7680.39959891262830.588228779398151
0.7780.5304308048130.585596067370831
0.7880.6654554025360.597423650455434
0.7980.8073987288750.62267666759757
0.880.95862240912070.657716306759034
0.8181.12073113296440.697122789313462
0.8281.2942748953140.734661534176007
0.8381.4785900807770.764805493190144
0.8481.6717834185920.782848415739683
0.8581.87083135163180.785573128267248
0.8682.07176484354650.770863530856923
0.8782.2699432412840.737603974221047
0.8882.46047247394720.685962807090036
0.8982.63884778668170.617689878725442
0.982.80184378862290.537431802898883
0.9182.94850258419550.453470964471472
0.9283.08081901565550.377422183552449
0.9383.20352868941260.321778828412017
0.9483.32250703698880.292926593088118
0.9583.44191438253170.282065591498253
0.9683.56129561151380.266586183104199
0.9783.67457827327540.2263930963211
0.9883.77196793509930.161916144563129
0.9983.84313573824510.101804277622018

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 65.3377851123432 & 0.798098652598472 \tabularnewline
0.02 & 65.8069567687318 & 0.889336907682632 \tabularnewline
0.03 & 66.3412384388225 & 0.998104790156619 \tabularnewline
0.04 & 66.8707687205573 & 1.05562741727808 \tabularnewline
0.05 & 67.3630107786659 & 1.04239266985561 \tabularnewline
0.06 & 67.8013766157455 & 0.96844208367848 \tabularnewline
0.07 & 68.1772648165914 & 0.854992266959432 \tabularnewline
0.08 & 68.4892972419845 & 0.727060995818332 \tabularnewline
0.09 & 68.7430667069181 & 0.609346610654543 \tabularnewline
0.1 & 68.9496191846732 & 0.523091379944561 \tabularnewline
0.11 & 69.1230987931338 & 0.482568157512559 \tabularnewline
0.12 & 69.2783306791135 & 0.491869273201448 \tabularnewline
0.13 & 69.4288926447819 & 0.544637413260437 \tabularnewline
0.14 & 69.585894892253 & 0.629539752630505 \tabularnewline
0.15 & 69.7574122918762 & 0.735008559307128 \tabularnewline
0.16 & 69.9483764199994 & 0.850043054454246 \tabularnewline
0.17 & 70.1607354138996 & 0.964473454980579 \tabularnewline
0.18 & 70.3937661345138 & 1.06840774845886 \tabularnewline
0.19 & 70.6445026729926 & 1.15316555311617 \tabularnewline
0.2 & 70.9082842113667 & 1.21245141235776 \tabularnewline
0.21 & 71.1794172534601 & 1.24243091415215 \tabularnewline
0.22 & 71.4519110826924 & 1.24339599882525 \tabularnewline
0.23 & 71.720207611537 & 1.21879471943624 \tabularnewline
0.24 & 71.9798085148412 & 1.17516476482634 \tabularnewline
0.25 & 72.227712305643 & 1.12090179317989 \tabularnewline
0.26 & 72.4626079323366 & 1.06480723366746 \tabularnewline
0.27 & 72.6848174844209 & 1.01533242654084 \tabularnewline
0.28 & 72.8960245587168 & 0.978771971727371 \tabularnewline
0.29 & 73.0988558429833 & 0.959114942350155 \tabularnewline
0.3 & 73.2963965819058 & 0.957079640012146 \tabularnewline
0.31 & 73.4917167806917 & 0.970811067848554 \tabularnewline
0.32 & 73.6874691531403 & 0.996076478250376 \tabularnewline
0.33 & 73.8855981029549 & 1.02796379109138 \tabularnewline
0.34 & 74.0871768281599 & 1.06128584424469 \tabularnewline
0.35 & 74.292370549356 & 1.09062857785967 \tabularnewline
0.36 & 74.5005096118226 & 1.11237040251427 \tabularnewline
0.37 & 74.7102471363636 & 1.12323470358828 \tabularnewline
0.38 & 74.9197715184177 & 1.12184548735179 \tabularnewline
0.39 & 75.1270435533465 & 1.10756087202258 \tabularnewline
0.4 & 75.3300303453643 & 1.08153276494419 \tabularnewline
0.41 & 75.5269125274723 & 1.04540320977921 \tabularnewline
0.42 & 75.7162469093577 & 1.00177433128120 \tabularnewline
0.43 & 75.8970729111984 & 0.953654828639244 \tabularnewline
0.44 & 76.0689576660555 & 0.904369276272182 \tabularnewline
0.45 & 76.2319812279298 & 0.856677556560493 \tabularnewline
0.46 & 76.3866696162422 & 0.813126406120412 \tabularnewline
0.47 & 76.5338889929493 & 0.775501446913194 \tabularnewline
0.48 & 76.674718417621 & 0.744814253807921 \tabularnewline
0.49 & 76.8103205606181 & 0.720939196305017 \tabularnewline
0.5 & 76.941828820819 & 0.703364365252414 \tabularnewline
0.51 & 77.0702652919159 & 0.690728132437687 \tabularnewline
0.52 & 77.196497439335 & 0.681881447578871 \tabularnewline
0.53 & 77.3212334038732 & 0.675490356357488 \tabularnewline
0.54 & 77.4450482574725 & 0.67128615711517 \tabularnewline
0.55 & 77.5684280782263 & 0.668439120196871 \tabularnewline
0.56 & 77.6918166830614 & 0.667428494747283 \tabularnewline
0.57 & 77.815651632719 & 0.668646056106132 \tabularnewline
0.58 & 77.9403809853143 & 0.672192676430259 \tabularnewline
0.59 & 78.0664585989888 & 0.67810133005351 \tabularnewline
0.6 & 78.1943215647818 & 0.686347611424497 \tabularnewline
0.61 & 78.3243568851176 & 0.696198569160842 \tabularnewline
0.62 & 78.4568650132063 & 0.707017550201388 \tabularnewline
0.63 & 78.5920257597925 & 0.718128661199576 \tabularnewline
0.64 & 78.7298688426832 & 0.728476326083247 \tabularnewline
0.65 & 78.8702489656999 & 0.73743184525331 \tabularnewline
0.66 & 79.0128253835207 & 0.743966548828078 \tabularnewline
0.67 & 79.1570489370842 & 0.747028154306396 \tabularnewline
0.68 & 79.3021645104416 & 0.745699606287429 \tabularnewline
0.69 & 79.4472413889439 & 0.738939845616487 \tabularnewline
0.7 & 79.5912451097282 & 0.726058656839529 \tabularnewline
0.71 & 79.7331596406887 & 0.706951593103563 \tabularnewline
0.72 & 79.8721573561316 & 0.682544206002156 \tabularnewline
0.73 & 80.0077980262698 & 0.654801352564509 \tabularnewline
0.74 & 80.140221141495 & 0.626977565426015 \tabularnewline
0.75 & 80.2702842063859 & 0.603261688291343 \tabularnewline
0.76 & 80.3995989126283 & 0.588228779398151 \tabularnewline
0.77 & 80.530430804813 & 0.585596067370831 \tabularnewline
0.78 & 80.665455402536 & 0.597423650455434 \tabularnewline
0.79 & 80.807398728875 & 0.62267666759757 \tabularnewline
0.8 & 80.9586224091207 & 0.657716306759034 \tabularnewline
0.81 & 81.1207311329644 & 0.697122789313462 \tabularnewline
0.82 & 81.294274895314 & 0.734661534176007 \tabularnewline
0.83 & 81.478590080777 & 0.764805493190144 \tabularnewline
0.84 & 81.671783418592 & 0.782848415739683 \tabularnewline
0.85 & 81.8708313516318 & 0.785573128267248 \tabularnewline
0.86 & 82.0717648435465 & 0.770863530856923 \tabularnewline
0.87 & 82.269943241284 & 0.737603974221047 \tabularnewline
0.88 & 82.4604724739472 & 0.685962807090036 \tabularnewline
0.89 & 82.6388477866817 & 0.617689878725442 \tabularnewline
0.9 & 82.8018437886229 & 0.537431802898883 \tabularnewline
0.91 & 82.9485025841955 & 0.453470964471472 \tabularnewline
0.92 & 83.0808190156555 & 0.377422183552449 \tabularnewline
0.93 & 83.2035286894126 & 0.321778828412017 \tabularnewline
0.94 & 83.3225070369888 & 0.292926593088118 \tabularnewline
0.95 & 83.4419143825317 & 0.282065591498253 \tabularnewline
0.96 & 83.5612956115138 & 0.266586183104199 \tabularnewline
0.97 & 83.6745782732754 & 0.2263930963211 \tabularnewline
0.98 & 83.7719679350993 & 0.161916144563129 \tabularnewline
0.99 & 83.8431357382451 & 0.101804277622018 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9765&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]65.3377851123432[/C][C]0.798098652598472[/C][/ROW]
[ROW][C]0.02[/C][C]65.8069567687318[/C][C]0.889336907682632[/C][/ROW]
[ROW][C]0.03[/C][C]66.3412384388225[/C][C]0.998104790156619[/C][/ROW]
[ROW][C]0.04[/C][C]66.8707687205573[/C][C]1.05562741727808[/C][/ROW]
[ROW][C]0.05[/C][C]67.3630107786659[/C][C]1.04239266985561[/C][/ROW]
[ROW][C]0.06[/C][C]67.8013766157455[/C][C]0.96844208367848[/C][/ROW]
[ROW][C]0.07[/C][C]68.1772648165914[/C][C]0.854992266959432[/C][/ROW]
[ROW][C]0.08[/C][C]68.4892972419845[/C][C]0.727060995818332[/C][/ROW]
[ROW][C]0.09[/C][C]68.7430667069181[/C][C]0.609346610654543[/C][/ROW]
[ROW][C]0.1[/C][C]68.9496191846732[/C][C]0.523091379944561[/C][/ROW]
[ROW][C]0.11[/C][C]69.1230987931338[/C][C]0.482568157512559[/C][/ROW]
[ROW][C]0.12[/C][C]69.2783306791135[/C][C]0.491869273201448[/C][/ROW]
[ROW][C]0.13[/C][C]69.4288926447819[/C][C]0.544637413260437[/C][/ROW]
[ROW][C]0.14[/C][C]69.585894892253[/C][C]0.629539752630505[/C][/ROW]
[ROW][C]0.15[/C][C]69.7574122918762[/C][C]0.735008559307128[/C][/ROW]
[ROW][C]0.16[/C][C]69.9483764199994[/C][C]0.850043054454246[/C][/ROW]
[ROW][C]0.17[/C][C]70.1607354138996[/C][C]0.964473454980579[/C][/ROW]
[ROW][C]0.18[/C][C]70.3937661345138[/C][C]1.06840774845886[/C][/ROW]
[ROW][C]0.19[/C][C]70.6445026729926[/C][C]1.15316555311617[/C][/ROW]
[ROW][C]0.2[/C][C]70.9082842113667[/C][C]1.21245141235776[/C][/ROW]
[ROW][C]0.21[/C][C]71.1794172534601[/C][C]1.24243091415215[/C][/ROW]
[ROW][C]0.22[/C][C]71.4519110826924[/C][C]1.24339599882525[/C][/ROW]
[ROW][C]0.23[/C][C]71.720207611537[/C][C]1.21879471943624[/C][/ROW]
[ROW][C]0.24[/C][C]71.9798085148412[/C][C]1.17516476482634[/C][/ROW]
[ROW][C]0.25[/C][C]72.227712305643[/C][C]1.12090179317989[/C][/ROW]
[ROW][C]0.26[/C][C]72.4626079323366[/C][C]1.06480723366746[/C][/ROW]
[ROW][C]0.27[/C][C]72.6848174844209[/C][C]1.01533242654084[/C][/ROW]
[ROW][C]0.28[/C][C]72.8960245587168[/C][C]0.978771971727371[/C][/ROW]
[ROW][C]0.29[/C][C]73.0988558429833[/C][C]0.959114942350155[/C][/ROW]
[ROW][C]0.3[/C][C]73.2963965819058[/C][C]0.957079640012146[/C][/ROW]
[ROW][C]0.31[/C][C]73.4917167806917[/C][C]0.970811067848554[/C][/ROW]
[ROW][C]0.32[/C][C]73.6874691531403[/C][C]0.996076478250376[/C][/ROW]
[ROW][C]0.33[/C][C]73.8855981029549[/C][C]1.02796379109138[/C][/ROW]
[ROW][C]0.34[/C][C]74.0871768281599[/C][C]1.06128584424469[/C][/ROW]
[ROW][C]0.35[/C][C]74.292370549356[/C][C]1.09062857785967[/C][/ROW]
[ROW][C]0.36[/C][C]74.5005096118226[/C][C]1.11237040251427[/C][/ROW]
[ROW][C]0.37[/C][C]74.7102471363636[/C][C]1.12323470358828[/C][/ROW]
[ROW][C]0.38[/C][C]74.9197715184177[/C][C]1.12184548735179[/C][/ROW]
[ROW][C]0.39[/C][C]75.1270435533465[/C][C]1.10756087202258[/C][/ROW]
[ROW][C]0.4[/C][C]75.3300303453643[/C][C]1.08153276494419[/C][/ROW]
[ROW][C]0.41[/C][C]75.5269125274723[/C][C]1.04540320977921[/C][/ROW]
[ROW][C]0.42[/C][C]75.7162469093577[/C][C]1.00177433128120[/C][/ROW]
[ROW][C]0.43[/C][C]75.8970729111984[/C][C]0.953654828639244[/C][/ROW]
[ROW][C]0.44[/C][C]76.0689576660555[/C][C]0.904369276272182[/C][/ROW]
[ROW][C]0.45[/C][C]76.2319812279298[/C][C]0.856677556560493[/C][/ROW]
[ROW][C]0.46[/C][C]76.3866696162422[/C][C]0.813126406120412[/C][/ROW]
[ROW][C]0.47[/C][C]76.5338889929493[/C][C]0.775501446913194[/C][/ROW]
[ROW][C]0.48[/C][C]76.674718417621[/C][C]0.744814253807921[/C][/ROW]
[ROW][C]0.49[/C][C]76.8103205606181[/C][C]0.720939196305017[/C][/ROW]
[ROW][C]0.5[/C][C]76.941828820819[/C][C]0.703364365252414[/C][/ROW]
[ROW][C]0.51[/C][C]77.0702652919159[/C][C]0.690728132437687[/C][/ROW]
[ROW][C]0.52[/C][C]77.196497439335[/C][C]0.681881447578871[/C][/ROW]
[ROW][C]0.53[/C][C]77.3212334038732[/C][C]0.675490356357488[/C][/ROW]
[ROW][C]0.54[/C][C]77.4450482574725[/C][C]0.67128615711517[/C][/ROW]
[ROW][C]0.55[/C][C]77.5684280782263[/C][C]0.668439120196871[/C][/ROW]
[ROW][C]0.56[/C][C]77.6918166830614[/C][C]0.667428494747283[/C][/ROW]
[ROW][C]0.57[/C][C]77.815651632719[/C][C]0.668646056106132[/C][/ROW]
[ROW][C]0.58[/C][C]77.9403809853143[/C][C]0.672192676430259[/C][/ROW]
[ROW][C]0.59[/C][C]78.0664585989888[/C][C]0.67810133005351[/C][/ROW]
[ROW][C]0.6[/C][C]78.1943215647818[/C][C]0.686347611424497[/C][/ROW]
[ROW][C]0.61[/C][C]78.3243568851176[/C][C]0.696198569160842[/C][/ROW]
[ROW][C]0.62[/C][C]78.4568650132063[/C][C]0.707017550201388[/C][/ROW]
[ROW][C]0.63[/C][C]78.5920257597925[/C][C]0.718128661199576[/C][/ROW]
[ROW][C]0.64[/C][C]78.7298688426832[/C][C]0.728476326083247[/C][/ROW]
[ROW][C]0.65[/C][C]78.8702489656999[/C][C]0.73743184525331[/C][/ROW]
[ROW][C]0.66[/C][C]79.0128253835207[/C][C]0.743966548828078[/C][/ROW]
[ROW][C]0.67[/C][C]79.1570489370842[/C][C]0.747028154306396[/C][/ROW]
[ROW][C]0.68[/C][C]79.3021645104416[/C][C]0.745699606287429[/C][/ROW]
[ROW][C]0.69[/C][C]79.4472413889439[/C][C]0.738939845616487[/C][/ROW]
[ROW][C]0.7[/C][C]79.5912451097282[/C][C]0.726058656839529[/C][/ROW]
[ROW][C]0.71[/C][C]79.7331596406887[/C][C]0.706951593103563[/C][/ROW]
[ROW][C]0.72[/C][C]79.8721573561316[/C][C]0.682544206002156[/C][/ROW]
[ROW][C]0.73[/C][C]80.0077980262698[/C][C]0.654801352564509[/C][/ROW]
[ROW][C]0.74[/C][C]80.140221141495[/C][C]0.626977565426015[/C][/ROW]
[ROW][C]0.75[/C][C]80.2702842063859[/C][C]0.603261688291343[/C][/ROW]
[ROW][C]0.76[/C][C]80.3995989126283[/C][C]0.588228779398151[/C][/ROW]
[ROW][C]0.77[/C][C]80.530430804813[/C][C]0.585596067370831[/C][/ROW]
[ROW][C]0.78[/C][C]80.665455402536[/C][C]0.597423650455434[/C][/ROW]
[ROW][C]0.79[/C][C]80.807398728875[/C][C]0.62267666759757[/C][/ROW]
[ROW][C]0.8[/C][C]80.9586224091207[/C][C]0.657716306759034[/C][/ROW]
[ROW][C]0.81[/C][C]81.1207311329644[/C][C]0.697122789313462[/C][/ROW]
[ROW][C]0.82[/C][C]81.294274895314[/C][C]0.734661534176007[/C][/ROW]
[ROW][C]0.83[/C][C]81.478590080777[/C][C]0.764805493190144[/C][/ROW]
[ROW][C]0.84[/C][C]81.671783418592[/C][C]0.782848415739683[/C][/ROW]
[ROW][C]0.85[/C][C]81.8708313516318[/C][C]0.785573128267248[/C][/ROW]
[ROW][C]0.86[/C][C]82.0717648435465[/C][C]0.770863530856923[/C][/ROW]
[ROW][C]0.87[/C][C]82.269943241284[/C][C]0.737603974221047[/C][/ROW]
[ROW][C]0.88[/C][C]82.4604724739472[/C][C]0.685962807090036[/C][/ROW]
[ROW][C]0.89[/C][C]82.6388477866817[/C][C]0.617689878725442[/C][/ROW]
[ROW][C]0.9[/C][C]82.8018437886229[/C][C]0.537431802898883[/C][/ROW]
[ROW][C]0.91[/C][C]82.9485025841955[/C][C]0.453470964471472[/C][/ROW]
[ROW][C]0.92[/C][C]83.0808190156555[/C][C]0.377422183552449[/C][/ROW]
[ROW][C]0.93[/C][C]83.2035286894126[/C][C]0.321778828412017[/C][/ROW]
[ROW][C]0.94[/C][C]83.3225070369888[/C][C]0.292926593088118[/C][/ROW]
[ROW][C]0.95[/C][C]83.4419143825317[/C][C]0.282065591498253[/C][/ROW]
[ROW][C]0.96[/C][C]83.5612956115138[/C][C]0.266586183104199[/C][/ROW]
[ROW][C]0.97[/C][C]83.6745782732754[/C][C]0.2263930963211[/C][/ROW]
[ROW][C]0.98[/C][C]83.7719679350993[/C][C]0.161916144563129[/C][/ROW]
[ROW][C]0.99[/C][C]83.8431357382451[/C][C]0.101804277622018[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9765&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9765&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
0.0165.33778511234320.798098652598472
0.0265.80695676873180.889336907682632
0.0366.34123843882250.998104790156619
0.0466.87076872055731.05562741727808
0.0567.36301077866591.04239266985561
0.0667.80137661574550.96844208367848
0.0768.17726481659140.854992266959432
0.0868.48929724198450.727060995818332
0.0968.74306670691810.609346610654543
0.168.94961918467320.523091379944561
0.1169.12309879313380.482568157512559
0.1269.27833067911350.491869273201448
0.1369.42889264478190.544637413260437
0.1469.5858948922530.629539752630505
0.1569.75741229187620.735008559307128
0.1669.94837641999940.850043054454246
0.1770.16073541389960.964473454980579
0.1870.39376613451381.06840774845886
0.1970.64450267299261.15316555311617
0.270.90828421136671.21245141235776
0.2171.17941725346011.24243091415215
0.2271.45191108269241.24339599882525
0.2371.7202076115371.21879471943624
0.2471.97980851484121.17516476482634
0.2572.2277123056431.12090179317989
0.2672.46260793233661.06480723366746
0.2772.68481748442091.01533242654084
0.2872.89602455871680.978771971727371
0.2973.09885584298330.959114942350155
0.373.29639658190580.957079640012146
0.3173.49171678069170.970811067848554
0.3273.68746915314030.996076478250376
0.3373.88559810295491.02796379109138
0.3474.08717682815991.06128584424469
0.3574.2923705493561.09062857785967
0.3674.50050961182261.11237040251427
0.3774.71024713636361.12323470358828
0.3874.91977151841771.12184548735179
0.3975.12704355334651.10756087202258
0.475.33003034536431.08153276494419
0.4175.52691252747231.04540320977921
0.4275.71624690935771.00177433128120
0.4375.89707291119840.953654828639244
0.4476.06895766605550.904369276272182
0.4576.23198122792980.856677556560493
0.4676.38666961624220.813126406120412
0.4776.53388899294930.775501446913194
0.4876.6747184176210.744814253807921
0.4976.81032056061810.720939196305017
0.576.9418288208190.703364365252414
0.5177.07026529191590.690728132437687
0.5277.1964974393350.681881447578871
0.5377.32123340387320.675490356357488
0.5477.44504825747250.67128615711517
0.5577.56842807822630.668439120196871
0.5677.69181668306140.667428494747283
0.5777.8156516327190.668646056106132
0.5877.94038098531430.672192676430259
0.5978.06645859898880.67810133005351
0.678.19432156478180.686347611424497
0.6178.32435688511760.696198569160842
0.6278.45686501320630.707017550201388
0.6378.59202575979250.718128661199576
0.6478.72986884268320.728476326083247
0.6578.87024896569990.73743184525331
0.6679.01282538352070.743966548828078
0.6779.15704893708420.747028154306396
0.6879.30216451044160.745699606287429
0.6979.44724138894390.738939845616487
0.779.59124510972820.726058656839529
0.7179.73315964068870.706951593103563
0.7279.87215735613160.682544206002156
0.7380.00779802626980.654801352564509
0.7480.1402211414950.626977565426015
0.7580.27028420638590.603261688291343
0.7680.39959891262830.588228779398151
0.7780.5304308048130.585596067370831
0.7880.6654554025360.597423650455434
0.7980.8073987288750.62267666759757
0.880.95862240912070.657716306759034
0.8181.12073113296440.697122789313462
0.8281.2942748953140.734661534176007
0.8381.4785900807770.764805493190144
0.8481.6717834185920.782848415739683
0.8581.87083135163180.785573128267248
0.8682.07176484354650.770863530856923
0.8782.2699432412840.737603974221047
0.8882.46047247394720.685962807090036
0.8982.63884778668170.617689878725442
0.982.80184378862290.537431802898883
0.9182.94850258419550.453470964471472
0.9283.08081901565550.377422183552449
0.9383.20352868941260.321778828412017
0.9483.32250703698880.292926593088118
0.9583.44191438253170.282065591498253
0.9683.56129561151380.266586183104199
0.9783.67457827327540.2263930963211
0.9883.77196793509930.161916144563129
0.9983.84313573824510.101804277622018


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')