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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 computationFri, 05 Dec 2008 02:39:05 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/05/t1228470127bc9n7av4y96dg38.htm/, Retrieved Thu, 16 May 2024 06:59:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29093, Retrieved Thu, 16 May 2024 06:59:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact215

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] [Task 2 Q1 quantiles] [2008-10-27 17:22:04] [2d4aec5ed1856c4828162be37be304d9]
-   PD      [Harrell-Davis Quantiles] [Task 2 Q2] [2008-12-05 09:39:05] [d7f41258beeebb8716e3f5d39f3cdc01] [Current]
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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
96

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29093&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29093&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29093&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.03408279004866.58032322600482
0.0286.94081364418076.22100367328001
0.0388.04478593852845.81684367679707
0.0489.26213301586395.41296825244909
0.0590.51710935747985.0396220613329
0.0691.75077845855524.70818245412458
0.0792.92318029829704.41478139537675
0.0894.01134909567574.14786538561012
0.0995.00544450554783.8955271636504
0.195.90462271971833.64998384509292
0.1196.71354404505823.40909016392483
0.1297.4398292627133.17559645508855
0.1398.09241432840332.95568121316999
0.1498.68058919612612.75695807220523
0.1599.21347905205452.58674378507440
0.1699.69977038154352.45062653904246
0.17100.1475514629112.35115094074074
0.18100.5641984512972.28759941063856
0.19100.9562820445202.25618755790909
0.2101.3294943557222.25065530418199
0.21101.6886049597572.26379559112201
0.22102.0374546519412.28851144945379
0.23102.3789902842892.31843328559622
0.24102.7153377874552.34867520010239
0.25103.0479053349462.3754557877574
0.26103.3775055346452.39654615737403
0.27103.7044846753762.41078129770295
0.28104.0288480549302.41781535404082
0.29104.3503726912112.41813317873195
0.3104.6687016521132.41241010342165
0.31104.9834172863712.4015918262736
0.32105.2940933765932.38659741463148
0.33105.6003283900682.36809044244852
0.34105.9017634330662.34659454808563
0.35106.1980891988352.32229932317455
0.36106.4890462092452.29535454963092
0.37106.7744221201692.26553211833549
0.38107.0540489631172.23284119126083
0.39107.3278021131982.19722060228647
0.4107.5956016793002.15871991148508
0.41107.8574160519582.11778043088925
0.42108.1132666248462.07492136227541
0.43108.3632322891292.03084835364453
0.44108.6074522020601.98652032717481
0.45108.8461255265321.94289647425286
0.46109.0795072664551.90103911084522
0.47109.3078999004921.86170123057608
0.48109.5316411485221.82562268802578
0.49109.7510887969931.793135410523
0.5109.9666039785661.76423451851412
0.51110.1785345864401.73858819856396
0.52110.3872005695721.71575033837326
0.53110.5928826960051.69483344141026
0.54110.7958160104261.67500016415441
0.55110.9961886959191.65545013019106
0.56111.1941464432981.63543726350049
0.57111.3898018082531.61436968701808
0.58111.5832474708301.59198869841986
0.59111.7745718687891.56832968728823
0.6111.963875405281.54360326065606
0.61112.1512853597141.51837064265917
0.62112.3369677622861.49333893811908
0.63112.5211348072831.46923709369152
0.64112.7040468378521.44694653594082
0.65112.8860084807151.42717566260764
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
1122.4NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.0340827900486 & 6.58032322600482 \tabularnewline
0.02 & 86.9408136441807 & 6.22100367328001 \tabularnewline
0.03 & 88.0447859385284 & 5.81684367679707 \tabularnewline
0.04 & 89.2621330158639 & 5.41296825244909 \tabularnewline
0.05 & 90.5171093574798 & 5.0396220613329 \tabularnewline
0.06 & 91.7507784585552 & 4.70818245412458 \tabularnewline
0.07 & 92.9231802982970 & 4.41478139537675 \tabularnewline
0.08 & 94.0113490956757 & 4.14786538561012 \tabularnewline
0.09 & 95.0054445055478 & 3.8955271636504 \tabularnewline
0.1 & 95.9046227197183 & 3.64998384509292 \tabularnewline
0.11 & 96.7135440450582 & 3.40909016392483 \tabularnewline
0.12 & 97.439829262713 & 3.17559645508855 \tabularnewline
0.13 & 98.0924143284033 & 2.95568121316999 \tabularnewline
0.14 & 98.6805891961261 & 2.75695807220523 \tabularnewline
0.15 & 99.2134790520545 & 2.58674378507440 \tabularnewline
0.16 & 99.6997703815435 & 2.45062653904246 \tabularnewline
0.17 & 100.147551462911 & 2.35115094074074 \tabularnewline
0.18 & 100.564198451297 & 2.28759941063856 \tabularnewline
0.19 & 100.956282044520 & 2.25618755790909 \tabularnewline
0.2 & 101.329494355722 & 2.25065530418199 \tabularnewline
0.21 & 101.688604959757 & 2.26379559112201 \tabularnewline
0.22 & 102.037454651941 & 2.28851144945379 \tabularnewline
0.23 & 102.378990284289 & 2.31843328559622 \tabularnewline
0.24 & 102.715337787455 & 2.34867520010239 \tabularnewline
0.25 & 103.047905334946 & 2.3754557877574 \tabularnewline
0.26 & 103.377505534645 & 2.39654615737403 \tabularnewline
0.27 & 103.704484675376 & 2.41078129770295 \tabularnewline
0.28 & 104.028848054930 & 2.41781535404082 \tabularnewline
0.29 & 104.350372691211 & 2.41813317873195 \tabularnewline
0.3 & 104.668701652113 & 2.41241010342165 \tabularnewline
0.31 & 104.983417286371 & 2.4015918262736 \tabularnewline
0.32 & 105.294093376593 & 2.38659741463148 \tabularnewline
0.33 & 105.600328390068 & 2.36809044244852 \tabularnewline
0.34 & 105.901763433066 & 2.34659454808563 \tabularnewline
0.35 & 106.198089198835 & 2.32229932317455 \tabularnewline
0.36 & 106.489046209245 & 2.29535454963092 \tabularnewline
0.37 & 106.774422120169 & 2.26553211833549 \tabularnewline
0.38 & 107.054048963117 & 2.23284119126083 \tabularnewline
0.39 & 107.327802113198 & 2.19722060228647 \tabularnewline
0.4 & 107.595601679300 & 2.15871991148508 \tabularnewline
0.41 & 107.857416051958 & 2.11778043088925 \tabularnewline
0.42 & 108.113266624846 & 2.07492136227541 \tabularnewline
0.43 & 108.363232289129 & 2.03084835364453 \tabularnewline
0.44 & 108.607452202060 & 1.98652032717481 \tabularnewline
0.45 & 108.846125526532 & 1.94289647425286 \tabularnewline
0.46 & 109.079507266455 & 1.90103911084522 \tabularnewline
0.47 & 109.307899900492 & 1.86170123057608 \tabularnewline
0.48 & 109.531641148522 & 1.82562268802578 \tabularnewline
0.49 & 109.751088796993 & 1.793135410523 \tabularnewline
0.5 & 109.966603978566 & 1.76423451851412 \tabularnewline
0.51 & 110.178534586440 & 1.73858819856396 \tabularnewline
0.52 & 110.387200569572 & 1.71575033837326 \tabularnewline
0.53 & 110.592882696005 & 1.69483344141026 \tabularnewline
0.54 & 110.795816010426 & 1.67500016415441 \tabularnewline
0.55 & 110.996188695919 & 1.65545013019106 \tabularnewline
0.56 & 111.194146443298 & 1.63543726350049 \tabularnewline
0.57 & 111.389801808253 & 1.61436968701808 \tabularnewline
0.58 & 111.583247470830 & 1.59198869841986 \tabularnewline
0.59 & 111.774571868789 & 1.56832968728823 \tabularnewline
0.6 & 111.96387540528 & 1.54360326065606 \tabularnewline
0.61 & 112.151285359714 & 1.51837064265917 \tabularnewline
0.62 & 112.336967762286 & 1.49333893811908 \tabularnewline
0.63 & 112.521134807283 & 1.46923709369152 \tabularnewline
0.64 & 112.704046837852 & 1.44694653594082 \tabularnewline
0.65 & 112.886008480715 & 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
1 & 122.4 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29093&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]86.0340827900486[/C][C]6.58032322600482[/C][/ROW]
[ROW][C]0.02[/C][C]86.9408136441807[/C][C]6.22100367328001[/C][/ROW]
[ROW][C]0.03[/C][C]88.0447859385284[/C][C]5.81684367679707[/C][/ROW]
[ROW][C]0.04[/C][C]89.2621330158639[/C][C]5.41296825244909[/C][/ROW]
[ROW][C]0.05[/C][C]90.5171093574798[/C][C]5.0396220613329[/C][/ROW]
[ROW][C]0.06[/C][C]91.7507784585552[/C][C]4.70818245412458[/C][/ROW]
[ROW][C]0.07[/C][C]92.9231802982970[/C][C]4.41478139537675[/C][/ROW]
[ROW][C]0.08[/C][C]94.0113490956757[/C][C]4.14786538561012[/C][/ROW]
[ROW][C]0.09[/C][C]95.0054445055478[/C][C]3.8955271636504[/C][/ROW]
[ROW][C]0.1[/C][C]95.9046227197183[/C][C]3.64998384509292[/C][/ROW]
[ROW][C]0.11[/C][C]96.7135440450582[/C][C]3.40909016392483[/C][/ROW]
[ROW][C]0.12[/C][C]97.439829262713[/C][C]3.17559645508855[/C][/ROW]
[ROW][C]0.13[/C][C]98.0924143284033[/C][C]2.95568121316999[/C][/ROW]
[ROW][C]0.14[/C][C]98.6805891961261[/C][C]2.75695807220523[/C][/ROW]
[ROW][C]0.15[/C][C]99.2134790520545[/C][C]2.58674378507440[/C][/ROW]
[ROW][C]0.16[/C][C]99.6997703815435[/C][C]2.45062653904246[/C][/ROW]
[ROW][C]0.17[/C][C]100.147551462911[/C][C]2.35115094074074[/C][/ROW]
[ROW][C]0.18[/C][C]100.564198451297[/C][C]2.28759941063856[/C][/ROW]
[ROW][C]0.19[/C][C]100.956282044520[/C][C]2.25618755790909[/C][/ROW]
[ROW][C]0.2[/C][C]101.329494355722[/C][C]2.25065530418199[/C][/ROW]
[ROW][C]0.21[/C][C]101.688604959757[/C][C]2.26379559112201[/C][/ROW]
[ROW][C]0.22[/C][C]102.037454651941[/C][C]2.28851144945379[/C][/ROW]
[ROW][C]0.23[/C][C]102.378990284289[/C][C]2.31843328559622[/C][/ROW]
[ROW][C]0.24[/C][C]102.715337787455[/C][C]2.34867520010239[/C][/ROW]
[ROW][C]0.25[/C][C]103.047905334946[/C][C]2.3754557877574[/C][/ROW]
[ROW][C]0.26[/C][C]103.377505534645[/C][C]2.39654615737403[/C][/ROW]
[ROW][C]0.27[/C][C]103.704484675376[/C][C]2.41078129770295[/C][/ROW]
[ROW][C]0.28[/C][C]104.028848054930[/C][C]2.41781535404082[/C][/ROW]
[ROW][C]0.29[/C][C]104.350372691211[/C][C]2.41813317873195[/C][/ROW]
[ROW][C]0.3[/C][C]104.668701652113[/C][C]2.41241010342165[/C][/ROW]
[ROW][C]0.31[/C][C]104.983417286371[/C][C]2.4015918262736[/C][/ROW]
[ROW][C]0.32[/C][C]105.294093376593[/C][C]2.38659741463148[/C][/ROW]
[ROW][C]0.33[/C][C]105.600328390068[/C][C]2.36809044244852[/C][/ROW]
[ROW][C]0.34[/C][C]105.901763433066[/C][C]2.34659454808563[/C][/ROW]
[ROW][C]0.35[/C][C]106.198089198835[/C][C]2.32229932317455[/C][/ROW]
[ROW][C]0.36[/C][C]106.489046209245[/C][C]2.29535454963092[/C][/ROW]
[ROW][C]0.37[/C][C]106.774422120169[/C][C]2.26553211833549[/C][/ROW]
[ROW][C]0.38[/C][C]107.054048963117[/C][C]2.23284119126083[/C][/ROW]
[ROW][C]0.39[/C][C]107.327802113198[/C][C]2.19722060228647[/C][/ROW]
[ROW][C]0.4[/C][C]107.595601679300[/C][C]2.15871991148508[/C][/ROW]
[ROW][C]0.41[/C][C]107.857416051958[/C][C]2.11778043088925[/C][/ROW]
[ROW][C]0.42[/C][C]108.113266624846[/C][C]2.07492136227541[/C][/ROW]
[ROW][C]0.43[/C][C]108.363232289129[/C][C]2.03084835364453[/C][/ROW]
[ROW][C]0.44[/C][C]108.607452202060[/C][C]1.98652032717481[/C][/ROW]
[ROW][C]0.45[/C][C]108.846125526532[/C][C]1.94289647425286[/C][/ROW]
[ROW][C]0.46[/C][C]109.079507266455[/C][C]1.90103911084522[/C][/ROW]
[ROW][C]0.47[/C][C]109.307899900492[/C][C]1.86170123057608[/C][/ROW]
[ROW][C]0.48[/C][C]109.531641148522[/C][C]1.82562268802578[/C][/ROW]
[ROW][C]0.49[/C][C]109.751088796993[/C][C]1.793135410523[/C][/ROW]
[ROW][C]0.5[/C][C]109.966603978566[/C][C]1.76423451851412[/C][/ROW]
[ROW][C]0.51[/C][C]110.178534586440[/C][C]1.73858819856396[/C][/ROW]
[ROW][C]0.52[/C][C]110.387200569572[/C][C]1.71575033837326[/C][/ROW]
[ROW][C]0.53[/C][C]110.592882696005[/C][C]1.69483344141026[/C][/ROW]
[ROW][C]0.54[/C][C]110.795816010426[/C][C]1.67500016415441[/C][/ROW]
[ROW][C]0.55[/C][C]110.996188695919[/C][C]1.65545013019106[/C][/ROW]
[ROW][C]0.56[/C][C]111.194146443298[/C][C]1.63543726350049[/C][/ROW]
[ROW][C]0.57[/C][C]111.389801808253[/C][C]1.61436968701808[/C][/ROW]
[ROW][C]0.58[/C][C]111.583247470830[/C][C]1.59198869841986[/C][/ROW]
[ROW][C]0.59[/C][C]111.774571868789[/C][C]1.56832968728823[/C][/ROW]
[ROW][C]0.6[/C][C]111.96387540528[/C][C]1.54360326065606[/C][/ROW]
[ROW][C]0.61[/C][C]112.151285359714[/C][C]1.51837064265917[/C][/ROW]
[ROW][C]0.62[/C][C]112.336967762286[/C][C]1.49333893811908[/C][/ROW]
[ROW][C]0.63[/C][C]112.521134807283[/C][C]1.46923709369152[/C][/ROW]
[ROW][C]0.64[/C][C]112.704046837852[/C][C]1.44694653594082[/C][/ROW]
[ROW][C]0.65[/C][C]112.886008480715[/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]
[ROW][C]1[/C][C]122.4[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29093&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29093&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
0.0186.03408279004866.58032322600482
0.0286.94081364418076.22100367328001
0.0388.04478593852845.81684367679707
0.0489.26213301586395.41296825244909
0.0590.51710935747985.0396220613329
0.0691.75077845855524.70818245412458
0.0792.92318029829704.41478139537675
0.0894.01134909567574.14786538561012
0.0995.00544450554783.8955271636504
0.195.90462271971833.64998384509292
0.1196.71354404505823.40909016392483
0.1297.4398292627133.17559645508855
0.1398.09241432840332.95568121316999
0.1498.68058919612612.75695807220523
0.1599.21347905205452.58674378507440
0.1699.69977038154352.45062653904246
0.17100.1475514629112.35115094074074
0.18100.5641984512972.28759941063856
0.19100.9562820445202.25618755790909
0.2101.3294943557222.25065530418199
0.21101.6886049597572.26379559112201
0.22102.0374546519412.28851144945379
0.23102.3789902842892.31843328559622
0.24102.7153377874552.34867520010239
0.25103.0479053349462.3754557877574
0.26103.3775055346452.39654615737403
0.27103.7044846753762.41078129770295
0.28104.0288480549302.41781535404082
0.29104.3503726912112.41813317873195
0.3104.6687016521132.41241010342165
0.31104.9834172863712.4015918262736
0.32105.2940933765932.38659741463148
0.33105.6003283900682.36809044244852
0.34105.9017634330662.34659454808563
0.35106.1980891988352.32229932317455
0.36106.4890462092452.29535454963092
0.37106.7744221201692.26553211833549
0.38107.0540489631172.23284119126083
0.39107.3278021131982.19722060228647
0.4107.5956016793002.15871991148508
0.41107.8574160519582.11778043088925
0.42108.1132666248462.07492136227541
0.43108.3632322891292.03084835364453
0.44108.6074522020601.98652032717481
0.45108.8461255265321.94289647425286
0.46109.0795072664551.90103911084522
0.47109.3078999004921.86170123057608
0.48109.5316411485221.82562268802578
0.49109.7510887969931.793135410523
0.5109.9666039785661.76423451851412
0.51110.1785345864401.73858819856396
0.52110.3872005695721.71575033837326
0.53110.5928826960051.69483344141026
0.54110.7958160104261.67500016415441
0.55110.9961886959191.65545013019106
0.56111.1941464432981.63543726350049
0.57111.3898018082531.61436968701808
0.58111.5832474708301.59198869841986
0.59111.7745718687891.56832968728823
0.6111.963875405281.54360326065606
0.61112.1512853597141.51837064265917
0.62112.3369677622861.49333893811908
0.63112.5211348072831.46923709369152
0.64112.7040468378521.44694653594082
0.65112.8860084807151.42717566260764
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
1122.4NA


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 1 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 1 ; 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')