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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/t122452244899yjjtialojsjdh.htm/, Retrieved Fri, 17 May 2024 09:47:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17686, Retrieved Fri, 17 May 2024 09:47:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

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] [dbfa7caa6871c163dec68ca05d48bb00] [Current]
Feedback Forum
2008-10-24 12:34:26 [Thomas Baken] [reply] 
Ik vermoed dat de student (per ongeluk?) de verkeerde grafiek heeft geplaatst bij deze oefening.

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=17686&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=17686&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17686&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=17686&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=17686&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17686&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')