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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 computationSun, 19 Oct 2008 23:54:02 -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/20/t122448211983axr22hw30ud76.htm/, Retrieved Fri, 17 May 2024 06:18:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17145, Retrieved Fri, 17 May 2024 06:18:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact189

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q7 95% confidence...] [2007-10-20 15:02:46] [b731da8b544846036771bbf9bf2f34ce]
-   PD  [Harrell-Davis Quantiles] [Investigating Ass...] [2008-10-19 10:32:27] [6743688719638b0cb1c0a6e0bf433315]
F   P       [Harrell-Davis Quantiles] [Task 2 - Industri...] [2008-10-20 05:54:02] [dafd615cb3e0decc017580d68ecea30a] [Current]
-             [Harrell-Davis Quantiles] [task 2 Q8b] [2008-10-20 23:50:05] [b641c14ac36cb6fee377f3b099dcac19]
-   P         [Harrell-Davis Quantiles] [Investigating Ass...] [2008-10-27 08:19:51] [33f4701c7363e8b81858dafbf0350eed]
Feedback Forum
2008-10-24 15:48:51 [Bob Leysen] [reply] 
step size niet aangepast, de grafiek begint bij 0,01
  2008-10-26 13:18:53 [Stijn Van de Velde] [reply] 
De student legt het wel goed uit, maar de berekening klopt niet.
De laagste quantile moest hier 2.5% (0,025) zijn, en de hoogste 97.5% (0,975). Daarnaast moet de step size 0,005 zijn en niet 0,01.
Enkel op de manier kan je tot een 95% interval komen.

Voor de rest klopt zijn uitleg wel.

De kans dat ook maar 1 van deze 4 outliers zich voordeed is zo klein, dat we ze onmogelijk tot het interval kunnen laten behoren, ook al zetten we de step size op 0.0001.
2008-10-27 08:22:46 [Jeroen Michel] [reply] 
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Oct/27/t1225095638k94v17zwjfarn5h.htm , Retrieved Mon, 27 Oct 2008 08:20:42 +0000

Hier kan ik ook besluiten dat ik de juiste conclusie heb gemaakt in het bijbehorende word document. In de link hierboven is de correcte uitwerking terug te vinden. Deze bewerking is gemaakt met de correcte instelling van de parameters.

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 time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17145&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17145&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17145&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'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=17145&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=17145&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17145&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):
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')