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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 computationMon, 20 Oct 2008 16:26:44 -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/21/t1224541650zlv8gly3h14e4lo.htm/, Retrieved Sun, 19 May 2024 20:26:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18262, Retrieved Sun, 19 May 2024 20:26:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172

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 quan...] [2008-10-19 15:40:23] [1e1d8320a8a1170c475bf6e4ce119de6]
F   P     [Harrell-Davis Quantiles] [Harrel Davis corr...] [2008-10-20 22:26:44] [02e7fb326979b65614900650d62c19a6] [Current]
Feedback Forum
2008-10-26 11:56:05 [Lindsay Heyndrickx] [reply] 
vraag 1:
De waarde liggen allemaal boven de 114.51 dus de student heeft hier duidelijk niet de juiste parameters aangepast. De stepsize moet aan gepast worden aan 0.00005.
De cijfers die erbuiten liggen zijn 5% van de dataset.
vraag 2:
Dit is correct. Dit is da andere 5% die buiten de dataset valt.
Vraag 3:
Hier is in de blog niets aangepast aan de highest quantile of de stepsize. Daarom trekt deze student ook de verkeerde conclusies. In de harrel Davis berekening moet je bij de highest quantile 0.999 invullen en bij de stepsize 0.00005 zo kom je
Dat de waarden bij 0.999 115.99 geeft dus de kans dat het meer dan 122.4 is is verschrikkelijk klein want 122.4 is al heel onwaarschijnlijk dat dit zal voorkomen.
De student had deze vraag dus goed beantwoord enkel de blog klopt niet

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.7
109.9
114.6
85.4
100.5
114.8
116.5
112.9
102
106
105.3
118.8
106.1
109.3
117.2
92.5
104.2
112.5
122.4
113.3
100
110.7
112.8
109.8
117.3
109.1
115.9
95.7

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18262&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18262&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18262&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.02996881965026.5675736401574
0.0286.92985750467636.1924585323256
0.0388.02449982484685.77287579729969
0.0489.23072505553475.35779015475918
0.0590.47379856977164.98073315478196
0.0691.69591974212724.65469111301220
0.0792.85819847521674.37503719116549
0.0893.9385195777124.12759662460362
0.0994.92758032392863.89699319044528
0.195.82473272230693.67217425457520
0.1196.63451842015983.44859824948437
0.1297.36419164900483.2276511690345
0.1398.02216021278483.01506045180708
0.1498.61711253507512.81874852231652
0.1599.15757579523382.64678455509258
0.1699.65169982141132.5058071348826
0.17100.1071337270772.39951243262622
0.18100.5309278238922.32830062009180
0.19100.9294396666992.28927223797236
0.2101.3082488050982.27677795935095
0.21101.6720941382842.28393642946179
0.22102.0248466041492.30374211044657
0.23102.3695236757682.32976143572079
0.24102.7083447415792.35696668812726
0.25103.0428202899952.38144714823765
0.26103.3738639769772.40081790776422
0.27103.7019152835562.41379034286449
0.28104.0270611862712.41989800389039
0.29104.3491474372532.41956033202184
0.3104.6678730077482.41336860260449
0.31104.9828643908592.40222979182375
0.32105.2937293248632.38701622237618
0.33105.6000917818482.36834624198778
0.34105.9016116109782.34677657193438
0.35106.1979930019102.32241095857713
0.36106.4889860111222.29542530576320
0.37106.7743849095402.26558104531567
0.38107.0540262397302.23286054360398
0.39107.3277884026692.19722980392111
0.4107.5955935048732.15871812969531
0.41107.8574112355472.11778625739257
0.42108.1132638201342.07493194805736
0.43108.3632306748362.03084232843224
0.44108.6074512836631.98651848828281
0.45108.8461250100521.94289286340524
0.46109.0795069793321.90103911084522
0.47109.3078997427001.86170123057608
0.48109.5316410627961.82562268802578
0.49109.7510887509511.793135410523
0.5109.966603954121.76423451851412
0.51110.1785345736091.73858819856396
0.52110.3872005629141.71575033837326
0.53110.5928826925901.69483344141026
0.54110.7958160086951.67500016415441
0.55110.9961886950511.65545013019106
0.56111.1941464428681.63543726350049
0.57111.3898018080421.61436968701808
0.58111.5832474707281.59198869841986
0.59111.774571868741.56832968728823
0.6111.9638754052571.54360326065606
0.61112.1512853597041.51837064265917
0.62112.3369677622811.49333893811908
0.63112.5211348072801.46923709369152
0.64112.7040468378511.44694653594082
0.65112.8860084807141.42717566260764
0.66113.0673590821231.41039100447070
0.67113.2484581367291.39695161174752
0.68113.4296668592451.38681114969081
0.69113.6113273916111.37974626385690
0.7113.7937413531101.37513362268716
0.71113.9771495363631.37218667764245
0.72114.1617145564311.37008183927621
0.73114.3475082149811.36770117948673
0.74114.5345052938371.3640624025148
0.75114.7225854854121.35819449211835
0.76114.9115452313191.34919516983953
0.77115.1011213832961.33631115252731
0.78115.2910288036841.31893502965730
0.79115.4810142365271.29684149099605
0.8115.6709289206291.2700200741655
0.81115.8608223532451.23886747061239
0.82116.0510591497391.20442712112921
0.83116.2424597659061.16828304434192
0.84116.4364634490541.13288853851614
0.85116.6353073700941.10173527902952
0.86116.8422083228711.07941697375051
0.87117.0615212401851.07164481368534
0.88117.2988307378281.08498911954944
0.89117.5609076080011.12620554252304
0.9117.8554338839321.20146241794511
0.91118.1903749542901.31543635766506
0.92118.5728698590331.47092834460368
0.93119.0075448839631.66863435552838
0.94119.4942611743471.90655772411592
0.95120.0255123098142.17892006405751
0.96120.5839994389962.47468770164630
0.97121.1412865127082.77647233266323
0.98121.6587516412323.06082564440400
0.99122.0920801371483.30080114468631

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.0299688196502 & 6.5675736401574 \tabularnewline
0.02 & 86.9298575046763 & 6.1924585323256 \tabularnewline
0.03 & 88.0244998248468 & 5.77287579729969 \tabularnewline
0.04 & 89.2307250555347 & 5.35779015475918 \tabularnewline
0.05 & 90.4737985697716 & 4.98073315478196 \tabularnewline
0.06 & 91.6959197421272 & 4.65469111301220 \tabularnewline
0.07 & 92.8581984752167 & 4.37503719116549 \tabularnewline
0.08 & 93.938519577712 & 4.12759662460362 \tabularnewline
0.09 & 94.9275803239286 & 3.89699319044528 \tabularnewline
0.1 & 95.8247327223069 & 3.67217425457520 \tabularnewline
0.11 & 96.6345184201598 & 3.44859824948437 \tabularnewline
0.12 & 97.3641916490048 & 3.2276511690345 \tabularnewline
0.13 & 98.0221602127848 & 3.01506045180708 \tabularnewline
0.14 & 98.6171125350751 & 2.81874852231652 \tabularnewline
0.15 & 99.1575757952338 & 2.64678455509258 \tabularnewline
0.16 & 99.6516998214113 & 2.5058071348826 \tabularnewline
0.17 & 100.107133727077 & 2.39951243262622 \tabularnewline
0.18 & 100.530927823892 & 2.32830062009180 \tabularnewline
0.19 & 100.929439666699 & 2.28927223797236 \tabularnewline
0.2 & 101.308248805098 & 2.27677795935095 \tabularnewline
0.21 & 101.672094138284 & 2.28393642946179 \tabularnewline
0.22 & 102.024846604149 & 2.30374211044657 \tabularnewline
0.23 & 102.369523675768 & 2.32976143572079 \tabularnewline
0.24 & 102.708344741579 & 2.35696668812726 \tabularnewline
0.25 & 103.042820289995 & 2.38144714823765 \tabularnewline
0.26 & 103.373863976977 & 2.40081790776422 \tabularnewline
0.27 & 103.701915283556 & 2.41379034286449 \tabularnewline
0.28 & 104.027061186271 & 2.41989800389039 \tabularnewline
0.29 & 104.349147437253 & 2.41956033202184 \tabularnewline
0.3 & 104.667873007748 & 2.41336860260449 \tabularnewline
0.31 & 104.982864390859 & 2.40222979182375 \tabularnewline
0.32 & 105.293729324863 & 2.38701622237618 \tabularnewline
0.33 & 105.600091781848 & 2.36834624198778 \tabularnewline
0.34 & 105.901611610978 & 2.34677657193438 \tabularnewline
0.35 & 106.197993001910 & 2.32241095857713 \tabularnewline
0.36 & 106.488986011122 & 2.29542530576320 \tabularnewline
0.37 & 106.774384909540 & 2.26558104531567 \tabularnewline
0.38 & 107.054026239730 & 2.23286054360398 \tabularnewline
0.39 & 107.327788402669 & 2.19722980392111 \tabularnewline
0.4 & 107.595593504873 & 2.15871812969531 \tabularnewline
0.41 & 107.857411235547 & 2.11778625739257 \tabularnewline
0.42 & 108.113263820134 & 2.07493194805736 \tabularnewline
0.43 & 108.363230674836 & 2.03084232843224 \tabularnewline
0.44 & 108.607451283663 & 1.98651848828281 \tabularnewline
0.45 & 108.846125010052 & 1.94289286340524 \tabularnewline
0.46 & 109.079506979332 & 1.90103911084522 \tabularnewline
0.47 & 109.307899742700 & 1.86170123057608 \tabularnewline
0.48 & 109.531641062796 & 1.82562268802578 \tabularnewline
0.49 & 109.751088750951 & 1.793135410523 \tabularnewline
0.5 & 109.96660395412 & 1.76423451851412 \tabularnewline
0.51 & 110.178534573609 & 1.73858819856396 \tabularnewline
0.52 & 110.387200562914 & 1.71575033837326 \tabularnewline
0.53 & 110.592882692590 & 1.69483344141026 \tabularnewline
0.54 & 110.795816008695 & 1.67500016415441 \tabularnewline
0.55 & 110.996188695051 & 1.65545013019106 \tabularnewline
0.56 & 111.194146442868 & 1.63543726350049 \tabularnewline
0.57 & 111.389801808042 & 1.61436968701808 \tabularnewline
0.58 & 111.583247470728 & 1.59198869841986 \tabularnewline
0.59 & 111.77457186874 & 1.56832968728823 \tabularnewline
0.6 & 111.963875405257 & 1.54360326065606 \tabularnewline
0.61 & 112.151285359704 & 1.51837064265917 \tabularnewline
0.62 & 112.336967762281 & 1.49333893811908 \tabularnewline
0.63 & 112.521134807280 & 1.46923709369152 \tabularnewline
0.64 & 112.704046837851 & 1.44694653594082 \tabularnewline
0.65 & 112.886008480714 & 1.42717566260764 \tabularnewline
0.66 & 113.067359082123 & 1.41039100447070 \tabularnewline
0.67 & 113.248458136729 & 1.39695161174752 \tabularnewline
0.68 & 113.429666859245 & 1.38681114969081 \tabularnewline
0.69 & 113.611327391611 & 1.37974626385690 \tabularnewline
0.7 & 113.793741353110 & 1.37513362268716 \tabularnewline
0.71 & 113.977149536363 & 1.37218667764245 \tabularnewline
0.72 & 114.161714556431 & 1.37008183927621 \tabularnewline
0.73 & 114.347508214981 & 1.36770117948673 \tabularnewline
0.74 & 114.534505293837 & 1.3640624025148 \tabularnewline
0.75 & 114.722585485412 & 1.35819449211835 \tabularnewline
0.76 & 114.911545231319 & 1.34919516983953 \tabularnewline
0.77 & 115.101121383296 & 1.33631115252731 \tabularnewline
0.78 & 115.291028803684 & 1.31893502965730 \tabularnewline
0.79 & 115.481014236527 & 1.29684149099605 \tabularnewline
0.8 & 115.670928920629 & 1.2700200741655 \tabularnewline
0.81 & 115.860822353245 & 1.23886747061239 \tabularnewline
0.82 & 116.051059149739 & 1.20442712112921 \tabularnewline
0.83 & 116.242459765906 & 1.16828304434192 \tabularnewline
0.84 & 116.436463449054 & 1.13288853851614 \tabularnewline
0.85 & 116.635307370094 & 1.10173527902952 \tabularnewline
0.86 & 116.842208322871 & 1.07941697375051 \tabularnewline
0.87 & 117.061521240185 & 1.07164481368534 \tabularnewline
0.88 & 117.298830737828 & 1.08498911954944 \tabularnewline
0.89 & 117.560907608001 & 1.12620554252304 \tabularnewline
0.9 & 117.855433883932 & 1.20146241794511 \tabularnewline
0.91 & 118.190374954290 & 1.31543635766506 \tabularnewline
0.92 & 118.572869859033 & 1.47092834460368 \tabularnewline
0.93 & 119.007544883963 & 1.66863435552838 \tabularnewline
0.94 & 119.494261174347 & 1.90655772411592 \tabularnewline
0.95 & 120.025512309814 & 2.17892006405751 \tabularnewline
0.96 & 120.583999438996 & 2.47468770164630 \tabularnewline
0.97 & 121.141286512708 & 2.77647233266323 \tabularnewline
0.98 & 121.658751641232 & 3.06082564440400 \tabularnewline
0.99 & 122.092080137148 & 3.30080114468631 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18262&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]86.0299688196502[/C][C]6.5675736401574[/C][/ROW]
[ROW][C]0.02[/C][C]86.9298575046763[/C][C]6.1924585323256[/C][/ROW]
[ROW][C]0.03[/C][C]88.0244998248468[/C][C]5.77287579729969[/C][/ROW]
[ROW][C]0.04[/C][C]89.2307250555347[/C][C]5.35779015475918[/C][/ROW]
[ROW][C]0.05[/C][C]90.4737985697716[/C][C]4.98073315478196[/C][/ROW]
[ROW][C]0.06[/C][C]91.6959197421272[/C][C]4.65469111301220[/C][/ROW]
[ROW][C]0.07[/C][C]92.8581984752167[/C][C]4.37503719116549[/C][/ROW]
[ROW][C]0.08[/C][C]93.938519577712[/C][C]4.12759662460362[/C][/ROW]
[ROW][C]0.09[/C][C]94.9275803239286[/C][C]3.89699319044528[/C][/ROW]
[ROW][C]0.1[/C][C]95.8247327223069[/C][C]3.67217425457520[/C][/ROW]
[ROW][C]0.11[/C][C]96.6345184201598[/C][C]3.44859824948437[/C][/ROW]
[ROW][C]0.12[/C][C]97.3641916490048[/C][C]3.2276511690345[/C][/ROW]
[ROW][C]0.13[/C][C]98.0221602127848[/C][C]3.01506045180708[/C][/ROW]
[ROW][C]0.14[/C][C]98.6171125350751[/C][C]2.81874852231652[/C][/ROW]
[ROW][C]0.15[/C][C]99.1575757952338[/C][C]2.64678455509258[/C][/ROW]
[ROW][C]0.16[/C][C]99.6516998214113[/C][C]2.5058071348826[/C][/ROW]
[ROW][C]0.17[/C][C]100.107133727077[/C][C]2.39951243262622[/C][/ROW]
[ROW][C]0.18[/C][C]100.530927823892[/C][C]2.32830062009180[/C][/ROW]
[ROW][C]0.19[/C][C]100.929439666699[/C][C]2.28927223797236[/C][/ROW]
[ROW][C]0.2[/C][C]101.308248805098[/C][C]2.27677795935095[/C][/ROW]
[ROW][C]0.21[/C][C]101.672094138284[/C][C]2.28393642946179[/C][/ROW]
[ROW][C]0.22[/C][C]102.024846604149[/C][C]2.30374211044657[/C][/ROW]
[ROW][C]0.23[/C][C]102.369523675768[/C][C]2.32976143572079[/C][/ROW]
[ROW][C]0.24[/C][C]102.708344741579[/C][C]2.35696668812726[/C][/ROW]
[ROW][C]0.25[/C][C]103.042820289995[/C][C]2.38144714823765[/C][/ROW]
[ROW][C]0.26[/C][C]103.373863976977[/C][C]2.40081790776422[/C][/ROW]
[ROW][C]0.27[/C][C]103.701915283556[/C][C]2.41379034286449[/C][/ROW]
[ROW][C]0.28[/C][C]104.027061186271[/C][C]2.41989800389039[/C][/ROW]
[ROW][C]0.29[/C][C]104.349147437253[/C][C]2.41956033202184[/C][/ROW]
[ROW][C]0.3[/C][C]104.667873007748[/C][C]2.41336860260449[/C][/ROW]
[ROW][C]0.31[/C][C]104.982864390859[/C][C]2.40222979182375[/C][/ROW]
[ROW][C]0.32[/C][C]105.293729324863[/C][C]2.38701622237618[/C][/ROW]
[ROW][C]0.33[/C][C]105.600091781848[/C][C]2.36834624198778[/C][/ROW]
[ROW][C]0.34[/C][C]105.901611610978[/C][C]2.34677657193438[/C][/ROW]
[ROW][C]0.35[/C][C]106.197993001910[/C][C]2.32241095857713[/C][/ROW]
[ROW][C]0.36[/C][C]106.488986011122[/C][C]2.29542530576320[/C][/ROW]
[ROW][C]0.37[/C][C]106.774384909540[/C][C]2.26558104531567[/C][/ROW]
[ROW][C]0.38[/C][C]107.054026239730[/C][C]2.23286054360398[/C][/ROW]
[ROW][C]0.39[/C][C]107.327788402669[/C][C]2.19722980392111[/C][/ROW]
[ROW][C]0.4[/C][C]107.595593504873[/C][C]2.15871812969531[/C][/ROW]
[ROW][C]0.41[/C][C]107.857411235547[/C][C]2.11778625739257[/C][/ROW]
[ROW][C]0.42[/C][C]108.113263820134[/C][C]2.07493194805736[/C][/ROW]
[ROW][C]0.43[/C][C]108.363230674836[/C][C]2.03084232843224[/C][/ROW]
[ROW][C]0.44[/C][C]108.607451283663[/C][C]1.98651848828281[/C][/ROW]
[ROW][C]0.45[/C][C]108.846125010052[/C][C]1.94289286340524[/C][/ROW]
[ROW][C]0.46[/C][C]109.079506979332[/C][C]1.90103911084522[/C][/ROW]
[ROW][C]0.47[/C][C]109.307899742700[/C][C]1.86170123057608[/C][/ROW]
[ROW][C]0.48[/C][C]109.531641062796[/C][C]1.82562268802578[/C][/ROW]
[ROW][C]0.49[/C][C]109.751088750951[/C][C]1.793135410523[/C][/ROW]
[ROW][C]0.5[/C][C]109.96660395412[/C][C]1.76423451851412[/C][/ROW]
[ROW][C]0.51[/C][C]110.178534573609[/C][C]1.73858819856396[/C][/ROW]
[ROW][C]0.52[/C][C]110.387200562914[/C][C]1.71575033837326[/C][/ROW]
[ROW][C]0.53[/C][C]110.592882692590[/C][C]1.69483344141026[/C][/ROW]
[ROW][C]0.54[/C][C]110.795816008695[/C][C]1.67500016415441[/C][/ROW]
[ROW][C]0.55[/C][C]110.996188695051[/C][C]1.65545013019106[/C][/ROW]
[ROW][C]0.56[/C][C]111.194146442868[/C][C]1.63543726350049[/C][/ROW]
[ROW][C]0.57[/C][C]111.389801808042[/C][C]1.61436968701808[/C][/ROW]
[ROW][C]0.58[/C][C]111.583247470728[/C][C]1.59198869841986[/C][/ROW]
[ROW][C]0.59[/C][C]111.77457186874[/C][C]1.56832968728823[/C][/ROW]
[ROW][C]0.6[/C][C]111.963875405257[/C][C]1.54360326065606[/C][/ROW]
[ROW][C]0.61[/C][C]112.151285359704[/C][C]1.51837064265917[/C][/ROW]
[ROW][C]0.62[/C][C]112.336967762281[/C][C]1.49333893811908[/C][/ROW]
[ROW][C]0.63[/C][C]112.521134807280[/C][C]1.46923709369152[/C][/ROW]
[ROW][C]0.64[/C][C]112.704046837851[/C][C]1.44694653594082[/C][/ROW]
[ROW][C]0.65[/C][C]112.886008480714[/C][C]1.42717566260764[/C][/ROW]
[ROW][C]0.66[/C][C]113.067359082123[/C][C]1.41039100447070[/C][/ROW]
[ROW][C]0.67[/C][C]113.248458136729[/C][C]1.39695161174752[/C][/ROW]
[ROW][C]0.68[/C][C]113.429666859245[/C][C]1.38681114969081[/C][/ROW]
[ROW][C]0.69[/C][C]113.611327391611[/C][C]1.37974626385690[/C][/ROW]
[ROW][C]0.7[/C][C]113.793741353110[/C][C]1.37513362268716[/C][/ROW]
[ROW][C]0.71[/C][C]113.977149536363[/C][C]1.37218667764245[/C][/ROW]
[ROW][C]0.72[/C][C]114.161714556431[/C][C]1.37008183927621[/C][/ROW]
[ROW][C]0.73[/C][C]114.347508214981[/C][C]1.36770117948673[/C][/ROW]
[ROW][C]0.74[/C][C]114.534505293837[/C][C]1.3640624025148[/C][/ROW]
[ROW][C]0.75[/C][C]114.722585485412[/C][C]1.35819449211835[/C][/ROW]
[ROW][C]0.76[/C][C]114.911545231319[/C][C]1.34919516983953[/C][/ROW]
[ROW][C]0.77[/C][C]115.101121383296[/C][C]1.33631115252731[/C][/ROW]
[ROW][C]0.78[/C][C]115.291028803684[/C][C]1.31893502965730[/C][/ROW]
[ROW][C]0.79[/C][C]115.481014236527[/C][C]1.29684149099605[/C][/ROW]
[ROW][C]0.8[/C][C]115.670928920629[/C][C]1.2700200741655[/C][/ROW]
[ROW][C]0.81[/C][C]115.860822353245[/C][C]1.23886747061239[/C][/ROW]
[ROW][C]0.82[/C][C]116.051059149739[/C][C]1.20442712112921[/C][/ROW]
[ROW][C]0.83[/C][C]116.242459765906[/C][C]1.16828304434192[/C][/ROW]
[ROW][C]0.84[/C][C]116.436463449054[/C][C]1.13288853851614[/C][/ROW]
[ROW][C]0.85[/C][C]116.635307370094[/C][C]1.10173527902952[/C][/ROW]
[ROW][C]0.86[/C][C]116.842208322871[/C][C]1.07941697375051[/C][/ROW]
[ROW][C]0.87[/C][C]117.061521240185[/C][C]1.07164481368534[/C][/ROW]
[ROW][C]0.88[/C][C]117.298830737828[/C][C]1.08498911954944[/C][/ROW]
[ROW][C]0.89[/C][C]117.560907608001[/C][C]1.12620554252304[/C][/ROW]
[ROW][C]0.9[/C][C]117.855433883932[/C][C]1.20146241794511[/C][/ROW]
[ROW][C]0.91[/C][C]118.190374954290[/C][C]1.31543635766506[/C][/ROW]
[ROW][C]0.92[/C][C]118.572869859033[/C][C]1.47092834460368[/C][/ROW]
[ROW][C]0.93[/C][C]119.007544883963[/C][C]1.66863435552838[/C][/ROW]
[ROW][C]0.94[/C][C]119.494261174347[/C][C]1.90655772411592[/C][/ROW]
[ROW][C]0.95[/C][C]120.025512309814[/C][C]2.17892006405751[/C][/ROW]
[ROW][C]0.96[/C][C]120.583999438996[/C][C]2.47468770164630[/C][/ROW]
[ROW][C]0.97[/C][C]121.141286512708[/C][C]2.77647233266323[/C][/ROW]
[ROW][C]0.98[/C][C]121.658751641232[/C][C]3.06082564440400[/C][/ROW]
[ROW][C]0.99[/C][C]122.092080137148[/C][C]3.30080114468631[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18262&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18262&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
0.0186.02996881965026.5675736401574
0.0286.92985750467636.1924585323256
0.0388.02449982484685.77287579729969
0.0489.23072505553475.35779015475918
0.0590.47379856977164.98073315478196
0.0691.69591974212724.65469111301220
0.0792.85819847521674.37503719116549
0.0893.9385195777124.12759662460362
0.0994.92758032392863.89699319044528
0.195.82473272230693.67217425457520
0.1196.63451842015983.44859824948437
0.1297.36419164900483.2276511690345
0.1398.02216021278483.01506045180708
0.1498.61711253507512.81874852231652
0.1599.15757579523382.64678455509258
0.1699.65169982141132.5058071348826
0.17100.1071337270772.39951243262622
0.18100.5309278238922.32830062009180
0.19100.9294396666992.28927223797236
0.2101.3082488050982.27677795935095
0.21101.6720941382842.28393642946179
0.22102.0248466041492.30374211044657
0.23102.3695236757682.32976143572079
0.24102.7083447415792.35696668812726
0.25103.0428202899952.38144714823765
0.26103.3738639769772.40081790776422
0.27103.7019152835562.41379034286449
0.28104.0270611862712.41989800389039
0.29104.3491474372532.41956033202184
0.3104.6678730077482.41336860260449
0.31104.9828643908592.40222979182375
0.32105.2937293248632.38701622237618
0.33105.6000917818482.36834624198778
0.34105.9016116109782.34677657193438
0.35106.1979930019102.32241095857713
0.36106.4889860111222.29542530576320
0.37106.7743849095402.26558104531567
0.38107.0540262397302.23286054360398
0.39107.3277884026692.19722980392111
0.4107.5955935048732.15871812969531
0.41107.8574112355472.11778625739257
0.42108.1132638201342.07493194805736
0.43108.3632306748362.03084232843224
0.44108.6074512836631.98651848828281
0.45108.8461250100521.94289286340524
0.46109.0795069793321.90103911084522
0.47109.3078997427001.86170123057608
0.48109.5316410627961.82562268802578
0.49109.7510887509511.793135410523
0.5109.966603954121.76423451851412
0.51110.1785345736091.73858819856396
0.52110.3872005629141.71575033837326
0.53110.5928826925901.69483344141026
0.54110.7958160086951.67500016415441
0.55110.9961886950511.65545013019106
0.56111.1941464428681.63543726350049
0.57111.3898018080421.61436968701808
0.58111.5832474707281.59198869841986
0.59111.774571868741.56832968728823
0.6111.9638754052571.54360326065606
0.61112.1512853597041.51837064265917
0.62112.3369677622811.49333893811908
0.63112.5211348072801.46923709369152
0.64112.7040468378511.44694653594082
0.65112.8860084807141.42717566260764
0.66113.0673590821231.41039100447070
0.67113.2484581367291.39695161174752
0.68113.4296668592451.38681114969081
0.69113.6113273916111.37974626385690
0.7113.7937413531101.37513362268716
0.71113.9771495363631.37218667764245
0.72114.1617145564311.37008183927621
0.73114.3475082149811.36770117948673
0.74114.5345052938371.3640624025148
0.75114.7225854854121.35819449211835
0.76114.9115452313191.34919516983953
0.77115.1011213832961.33631115252731
0.78115.2910288036841.31893502965730
0.79115.4810142365271.29684149099605
0.8115.6709289206291.2700200741655
0.81115.8608223532451.23886747061239
0.82116.0510591497391.20442712112921
0.83116.2424597659061.16828304434192
0.84116.4364634490541.13288853851614
0.85116.6353073700941.10173527902952
0.86116.8422083228711.07941697375051
0.87117.0615212401851.07164481368534
0.88117.2988307378281.08498911954944
0.89117.5609076080011.12620554252304
0.9117.8554338839321.20146241794511
0.91118.1903749542901.31543635766506
0.92118.5728698590331.47092834460368
0.93119.0075448839631.66863435552838
0.94119.4942611743471.90655772411592
0.95120.0255123098142.17892006405751
0.96120.5839994389962.47468770164630
0.97121.1412865127082.77647233266323
0.98121.6587516412323.06082564440400
0.99122.0920801371483.30080114468631


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')