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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 11:06:35 -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/t1224522997x1216i8vgino5ec.htm/, Retrieved Fri, 17 May 2024 07:32:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17706, Retrieved Fri, 17 May 2024 07:32:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176

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]
-    D  [Harrell-Davis Quantiles] [Harrell-Davis - p...] [2008-10-17 12:38:25] [46c5a5fbda57fdfa1d4ef48658f82a0c]
F   PD      [Harrell-Davis Quantiles] [Harrell – Davis Q...] [2008-10-20 17:06:35] [96c9291ce335a5c9abba7b920811c2df] [Current]
Feedback Forum
2008-10-26 12:12:17 [Julie Leurentop] [reply] 
De waarden die gezocht moesten worden tov het betrouwbaarheidsinterval liggen inderdaad allemaal erbuiten. Dat wil dus zeggen dat ze tot de 5% behoren buiten deze reeks. De kans dat ze uitkwamen was klein maar het is toch gebeurd.

Je hebt correct de voorspelling met de Harrell Davis Quantiles gemaakt. 122,40 zal dan ook in de staart van de reeks liggen. Hoe meer we inzoomen op de tijdreeks, hoe dichter we komen maar we zullen er nooit geraken. Het komt bijgevolg te dicht bij 0 en is bijna miniem.
2008-10-27 10:50:12 [Karen Van den Broeck] [reply] 
Deze waarden liggen niet binnen het betrouwbaarheidsinterval maar behoren tot de 5%. De kans was zeer klein maar doet zich hier toch voor.

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
102.0
106.0
105.3
118.8
106.1
109.3
117.2
92.5
104.2
112.5
122.4
113.3
100.0
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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17706&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17706&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17706&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






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
0.0691.69591974212724.6546911130122
0.0792.85819847521664.37503719116549
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
0.78115.2910288036831.31893502965730
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
0.96120.5839994389962.4746877016463
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 & 4.6546911130122 \tabularnewline
0.07 & 92.8581984752166 & 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 & 115.291028803683 & 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 & 2.4746877016463 \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=17706&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]4.6546911130122[/C][/ROW]
[ROW][C]0.07[/C][C]92.8581984752166[/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]115.291028803683[/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]2.4746877016463[/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=17706&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17706&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
0.0691.69591974212724.6546911130122
0.0792.85819847521664.37503719116549
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
0.78115.2910288036831.31893502965730
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
0.96120.5839994389962.4746877016463
0.97121.1412865127082.77647233266323
0.98121.6587516412323.06082564440400
0.99122.0920801371483.30080114468631


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Investeringen ; par3 = Investeringen ;
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')