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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 18 Oct 2008 04:41:44 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/18/t1224326558eu2tdpbv7w1nufs.htm/, Retrieved Sun, 19 May 2024 14:05:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16567, Retrieved Sun, 19 May 2024 14:05:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Harrold Davis per...] [2008-10-18 10:29:00] [65364f12da24daf6c8f7985fc762862c]
-   PD    [Harrell-Davis Quantiles] [Harrold Davis per...] [2008-10-18 10:41:44] [9e20205489828c19845a9d736cd20362] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93.89
93.36
92.25
91.07
90.93
90.68
90.65
90.6
90.02
89.74
89.31
89.16
89.15
88.98
88.25
87.36
87.13
86.93
86.93
86.93
86.98
86.16
85.88
85.91
85.91
85.6
84.9
83.67
83.41
83.33
83.32
83.3
82.73
82.2
81.7
81.52
81.52
81.55
81.89
81.8
81.84
81.77
81.77
82.98
83.13
82.84
82.8
82.8
82.8
82.98
81.91
81.64
81.4
81.21
81.21
81.23
81.01
80.55
80.5
80.54
80.54
80.72
80.63
80.36
79.88
79.66
79.66
79.13
78.81
78.67
78.43
78.13
78.13
78.07
76.94
74.97
75
75.1
75.1
75.02
73.87
73.18
72.55
72.42
72.4
72.45
71.42
70.89
70.42
69.57
69.57
69.44
68.25
66.86
66.5
66.46

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16567&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16567&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16567&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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0166.60175832256360.366263521301203
0.0266.98819421706910.859837485249489
0.0367.58475079015841.18809208199113
0.0468.2658326821071.25578753875514
0.0568.91911612131.18114802126933
0.0669.49934752403161.11595474400257
0.0770.01519198468211.11895337926975
0.0870.49223348624381.16029882468378
0.0970.94848496533161.19582511090808
0.171.38989162786321.20937460250358
0.1171.81652106364791.21103174359505
0.1272.22918798878141.22067006321396
0.1372.63197552900981.25209534419815
0.1473.03110151308531.30558240692007
0.1573.43251735448111.37204820070903
0.1673.84020219384941.44116483207778
0.1774.25578947471261.50712017844045
0.1874.67908246693491.56790719504715
0.1975.10867394587811.62252845689181
0.275.54218291908931.66654546592212
0.2175.97613821770461.69263152801661
0.2276.40587204221951.69344220211510
0.2376.82577240037551.66408000631348
0.2477.22997791623781.60513497002033
0.2577.61330397627341.52277101465387
0.2677.97204867181071.42627209540666
0.2778.30439128551251.32544121399901
0.2878.61029239690781.22807633510912
0.2978.89100990816231.13822811223010
0.379.14846303872731.05648274798383
0.3179.3846762766120.981298236652675
0.3279.60144741711060.910548642401626
0.3379.8002663959590.842657113707301
0.3479.98241731628250.777423199921048
0.3580.14915257212240.715865394219847
0.3680.30183576903370.659548204110805
0.3780.44199156507550.609809368642896
0.3880.57125203046390.567565639896132
0.3980.6912308984390.532400593806855
0.480.8033782398080.503378129609002
0.4180.90886721558020.478502625591879
0.4281.008547401320.456051063553142
0.4381.10297494997650.434533622347858
0.4481.19250749192860.413404509010673
0.4581.27743707221760.392605355741758
0.4681.35812941891880.373341305274387
0.4781.43514076460750.356590060374641
0.4881.50929088958420.344413525669147
0.4981.58167979428070.33830017753227
0.581.65364370672240.339411950433627
0.5181.72665394957680.348518244252294
0.5281.80217036095660.365310787354611
0.5381.88146989529820.387902698765573
0.5481.96547971035980.414088298748681
0.5582.05464990323540.440774324420099
0.5682.14890087366450.465021466822144
0.5782.24767176153240.48446208979805
0.5882.35007957522680.497664231756559
0.5982.45517641683070.504734600163013
0.682.56226961774460.507624784419179
0.6182.67125191773050.510195830238798
0.6282.78287978142730.517397057574974
0.6382.89893882656530.534926128693099
0.6483.02224553402980.568488051002377
0.6583.15645296503460.621563009565967
0.6683.30565496737270.695050297304315
0.6783.47381840770890.786504149441061
0.6883.6641142176250.889584180318024
0.6983.87825832074080.995787821292431
0.784.11599995778971.09457298140822
0.7184.37489267296591.17534963680214
0.7284.65044286525081.22942089451244
0.7384.93665591426841.25158928180679
0.7485.22690914177021.24147647261094
0.7585.51500153341051.20318933197492
0.7685.79618516587861.14543078703511
0.7786.06797996498841.07962610365527
0.7886.33060265613591.01827768096410
0.7986.5868893107440.972783947488634
0.886.841657867720.951113041314343
0.8187.1005582169910.955226066377256
0.8287.36860579738530.979349125041078
0.8387.6487644094461.01112251010728
0.8487.94104871521561.03558576433371
0.8588.24253782002741.04034172678716
0.8688.5483641532281.01960096456104
0.8788.85325873875360.97624521963246
0.8889.15287112933540.91888013569471
0.8989.44417872490020.856152079224464
0.989.72500673396970.791074157732633
0.9189.9937306777080.72114355577783
0.9290.25094231233530.64620695020184
0.9390.50440173190560.580689234346384
0.9490.77635758024080.563180033946687
0.9591.10816924170.64355510118398
0.9691.552434253970.824838736048607
0.9792.14272728093471.01243737511972
0.9892.8436206201671.02952619870817
0.9993.506477786240.774360681009544

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 66.6017583225636 & 0.366263521301203 \tabularnewline
0.02 & 66.9881942170691 & 0.859837485249489 \tabularnewline
0.03 & 67.5847507901584 & 1.18809208199113 \tabularnewline
0.04 & 68.265832682107 & 1.25578753875514 \tabularnewline
0.05 & 68.9191161213 & 1.18114802126933 \tabularnewline
0.06 & 69.4993475240316 & 1.11595474400257 \tabularnewline
0.07 & 70.0151919846821 & 1.11895337926975 \tabularnewline
0.08 & 70.4922334862438 & 1.16029882468378 \tabularnewline
0.09 & 70.9484849653316 & 1.19582511090808 \tabularnewline
0.1 & 71.3898916278632 & 1.20937460250358 \tabularnewline
0.11 & 71.8165210636479 & 1.21103174359505 \tabularnewline
0.12 & 72.2291879887814 & 1.22067006321396 \tabularnewline
0.13 & 72.6319755290098 & 1.25209534419815 \tabularnewline
0.14 & 73.0311015130853 & 1.30558240692007 \tabularnewline
0.15 & 73.4325173544811 & 1.37204820070903 \tabularnewline
0.16 & 73.8402021938494 & 1.44116483207778 \tabularnewline
0.17 & 74.2557894747126 & 1.50712017844045 \tabularnewline
0.18 & 74.6790824669349 & 1.56790719504715 \tabularnewline
0.19 & 75.1086739458781 & 1.62252845689181 \tabularnewline
0.2 & 75.5421829190893 & 1.66654546592212 \tabularnewline
0.21 & 75.9761382177046 & 1.69263152801661 \tabularnewline
0.22 & 76.4058720422195 & 1.69344220211510 \tabularnewline
0.23 & 76.8257724003755 & 1.66408000631348 \tabularnewline
0.24 & 77.2299779162378 & 1.60513497002033 \tabularnewline
0.25 & 77.6133039762734 & 1.52277101465387 \tabularnewline
0.26 & 77.9720486718107 & 1.42627209540666 \tabularnewline
0.27 & 78.3043912855125 & 1.32544121399901 \tabularnewline
0.28 & 78.6102923969078 & 1.22807633510912 \tabularnewline
0.29 & 78.8910099081623 & 1.13822811223010 \tabularnewline
0.3 & 79.1484630387273 & 1.05648274798383 \tabularnewline
0.31 & 79.384676276612 & 0.981298236652675 \tabularnewline
0.32 & 79.6014474171106 & 0.910548642401626 \tabularnewline
0.33 & 79.800266395959 & 0.842657113707301 \tabularnewline
0.34 & 79.9824173162825 & 0.777423199921048 \tabularnewline
0.35 & 80.1491525721224 & 0.715865394219847 \tabularnewline
0.36 & 80.3018357690337 & 0.659548204110805 \tabularnewline
0.37 & 80.4419915650755 & 0.609809368642896 \tabularnewline
0.38 & 80.5712520304639 & 0.567565639896132 \tabularnewline
0.39 & 80.691230898439 & 0.532400593806855 \tabularnewline
0.4 & 80.803378239808 & 0.503378129609002 \tabularnewline
0.41 & 80.9088672155802 & 0.478502625591879 \tabularnewline
0.42 & 81.00854740132 & 0.456051063553142 \tabularnewline
0.43 & 81.1029749499765 & 0.434533622347858 \tabularnewline
0.44 & 81.1925074919286 & 0.413404509010673 \tabularnewline
0.45 & 81.2774370722176 & 0.392605355741758 \tabularnewline
0.46 & 81.3581294189188 & 0.373341305274387 \tabularnewline
0.47 & 81.4351407646075 & 0.356590060374641 \tabularnewline
0.48 & 81.5092908895842 & 0.344413525669147 \tabularnewline
0.49 & 81.5816797942807 & 0.33830017753227 \tabularnewline
0.5 & 81.6536437067224 & 0.339411950433627 \tabularnewline
0.51 & 81.7266539495768 & 0.348518244252294 \tabularnewline
0.52 & 81.8021703609566 & 0.365310787354611 \tabularnewline
0.53 & 81.8814698952982 & 0.387902698765573 \tabularnewline
0.54 & 81.9654797103598 & 0.414088298748681 \tabularnewline
0.55 & 82.0546499032354 & 0.440774324420099 \tabularnewline
0.56 & 82.1489008736645 & 0.465021466822144 \tabularnewline
0.57 & 82.2476717615324 & 0.48446208979805 \tabularnewline
0.58 & 82.3500795752268 & 0.497664231756559 \tabularnewline
0.59 & 82.4551764168307 & 0.504734600163013 \tabularnewline
0.6 & 82.5622696177446 & 0.507624784419179 \tabularnewline
0.61 & 82.6712519177305 & 0.510195830238798 \tabularnewline
0.62 & 82.7828797814273 & 0.517397057574974 \tabularnewline
0.63 & 82.8989388265653 & 0.534926128693099 \tabularnewline
0.64 & 83.0222455340298 & 0.568488051002377 \tabularnewline
0.65 & 83.1564529650346 & 0.621563009565967 \tabularnewline
0.66 & 83.3056549673727 & 0.695050297304315 \tabularnewline
0.67 & 83.4738184077089 & 0.786504149441061 \tabularnewline
0.68 & 83.664114217625 & 0.889584180318024 \tabularnewline
0.69 & 83.8782583207408 & 0.995787821292431 \tabularnewline
0.7 & 84.1159999577897 & 1.09457298140822 \tabularnewline
0.71 & 84.3748926729659 & 1.17534963680214 \tabularnewline
0.72 & 84.6504428652508 & 1.22942089451244 \tabularnewline
0.73 & 84.9366559142684 & 1.25158928180679 \tabularnewline
0.74 & 85.2269091417702 & 1.24147647261094 \tabularnewline
0.75 & 85.5150015334105 & 1.20318933197492 \tabularnewline
0.76 & 85.7961851658786 & 1.14543078703511 \tabularnewline
0.77 & 86.0679799649884 & 1.07962610365527 \tabularnewline
0.78 & 86.3306026561359 & 1.01827768096410 \tabularnewline
0.79 & 86.586889310744 & 0.972783947488634 \tabularnewline
0.8 & 86.84165786772 & 0.951113041314343 \tabularnewline
0.81 & 87.100558216991 & 0.955226066377256 \tabularnewline
0.82 & 87.3686057973853 & 0.979349125041078 \tabularnewline
0.83 & 87.648764409446 & 1.01112251010728 \tabularnewline
0.84 & 87.9410487152156 & 1.03558576433371 \tabularnewline
0.85 & 88.2425378200274 & 1.04034172678716 \tabularnewline
0.86 & 88.548364153228 & 1.01960096456104 \tabularnewline
0.87 & 88.8532587387536 & 0.97624521963246 \tabularnewline
0.88 & 89.1528711293354 & 0.91888013569471 \tabularnewline
0.89 & 89.4441787249002 & 0.856152079224464 \tabularnewline
0.9 & 89.7250067339697 & 0.791074157732633 \tabularnewline
0.91 & 89.993730677708 & 0.72114355577783 \tabularnewline
0.92 & 90.2509423123353 & 0.64620695020184 \tabularnewline
0.93 & 90.5044017319056 & 0.580689234346384 \tabularnewline
0.94 & 90.7763575802408 & 0.563180033946687 \tabularnewline
0.95 & 91.1081692417 & 0.64355510118398 \tabularnewline
0.96 & 91.55243425397 & 0.824838736048607 \tabularnewline
0.97 & 92.1427272809347 & 1.01243737511972 \tabularnewline
0.98 & 92.843620620167 & 1.02952619870817 \tabularnewline
0.99 & 93.50647778624 & 0.774360681009544 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16567&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]66.6017583225636[/C][C]0.366263521301203[/C][/ROW]
[ROW][C]0.02[/C][C]66.9881942170691[/C][C]0.859837485249489[/C][/ROW]
[ROW][C]0.03[/C][C]67.5847507901584[/C][C]1.18809208199113[/C][/ROW]
[ROW][C]0.04[/C][C]68.265832682107[/C][C]1.25578753875514[/C][/ROW]
[ROW][C]0.05[/C][C]68.9191161213[/C][C]1.18114802126933[/C][/ROW]
[ROW][C]0.06[/C][C]69.4993475240316[/C][C]1.11595474400257[/C][/ROW]
[ROW][C]0.07[/C][C]70.0151919846821[/C][C]1.11895337926975[/C][/ROW]
[ROW][C]0.08[/C][C]70.4922334862438[/C][C]1.16029882468378[/C][/ROW]
[ROW][C]0.09[/C][C]70.9484849653316[/C][C]1.19582511090808[/C][/ROW]
[ROW][C]0.1[/C][C]71.3898916278632[/C][C]1.20937460250358[/C][/ROW]
[ROW][C]0.11[/C][C]71.8165210636479[/C][C]1.21103174359505[/C][/ROW]
[ROW][C]0.12[/C][C]72.2291879887814[/C][C]1.22067006321396[/C][/ROW]
[ROW][C]0.13[/C][C]72.6319755290098[/C][C]1.25209534419815[/C][/ROW]
[ROW][C]0.14[/C][C]73.0311015130853[/C][C]1.30558240692007[/C][/ROW]
[ROW][C]0.15[/C][C]73.4325173544811[/C][C]1.37204820070903[/C][/ROW]
[ROW][C]0.16[/C][C]73.8402021938494[/C][C]1.44116483207778[/C][/ROW]
[ROW][C]0.17[/C][C]74.2557894747126[/C][C]1.50712017844045[/C][/ROW]
[ROW][C]0.18[/C][C]74.6790824669349[/C][C]1.56790719504715[/C][/ROW]
[ROW][C]0.19[/C][C]75.1086739458781[/C][C]1.62252845689181[/C][/ROW]
[ROW][C]0.2[/C][C]75.5421829190893[/C][C]1.66654546592212[/C][/ROW]
[ROW][C]0.21[/C][C]75.9761382177046[/C][C]1.69263152801661[/C][/ROW]
[ROW][C]0.22[/C][C]76.4058720422195[/C][C]1.69344220211510[/C][/ROW]
[ROW][C]0.23[/C][C]76.8257724003755[/C][C]1.66408000631348[/C][/ROW]
[ROW][C]0.24[/C][C]77.2299779162378[/C][C]1.60513497002033[/C][/ROW]
[ROW][C]0.25[/C][C]77.6133039762734[/C][C]1.52277101465387[/C][/ROW]
[ROW][C]0.26[/C][C]77.9720486718107[/C][C]1.42627209540666[/C][/ROW]
[ROW][C]0.27[/C][C]78.3043912855125[/C][C]1.32544121399901[/C][/ROW]
[ROW][C]0.28[/C][C]78.6102923969078[/C][C]1.22807633510912[/C][/ROW]
[ROW][C]0.29[/C][C]78.8910099081623[/C][C]1.13822811223010[/C][/ROW]
[ROW][C]0.3[/C][C]79.1484630387273[/C][C]1.05648274798383[/C][/ROW]
[ROW][C]0.31[/C][C]79.384676276612[/C][C]0.981298236652675[/C][/ROW]
[ROW][C]0.32[/C][C]79.6014474171106[/C][C]0.910548642401626[/C][/ROW]
[ROW][C]0.33[/C][C]79.800266395959[/C][C]0.842657113707301[/C][/ROW]
[ROW][C]0.34[/C][C]79.9824173162825[/C][C]0.777423199921048[/C][/ROW]
[ROW][C]0.35[/C][C]80.1491525721224[/C][C]0.715865394219847[/C][/ROW]
[ROW][C]0.36[/C][C]80.3018357690337[/C][C]0.659548204110805[/C][/ROW]
[ROW][C]0.37[/C][C]80.4419915650755[/C][C]0.609809368642896[/C][/ROW]
[ROW][C]0.38[/C][C]80.5712520304639[/C][C]0.567565639896132[/C][/ROW]
[ROW][C]0.39[/C][C]80.691230898439[/C][C]0.532400593806855[/C][/ROW]
[ROW][C]0.4[/C][C]80.803378239808[/C][C]0.503378129609002[/C][/ROW]
[ROW][C]0.41[/C][C]80.9088672155802[/C][C]0.478502625591879[/C][/ROW]
[ROW][C]0.42[/C][C]81.00854740132[/C][C]0.456051063553142[/C][/ROW]
[ROW][C]0.43[/C][C]81.1029749499765[/C][C]0.434533622347858[/C][/ROW]
[ROW][C]0.44[/C][C]81.1925074919286[/C][C]0.413404509010673[/C][/ROW]
[ROW][C]0.45[/C][C]81.2774370722176[/C][C]0.392605355741758[/C][/ROW]
[ROW][C]0.46[/C][C]81.3581294189188[/C][C]0.373341305274387[/C][/ROW]
[ROW][C]0.47[/C][C]81.4351407646075[/C][C]0.356590060374641[/C][/ROW]
[ROW][C]0.48[/C][C]81.5092908895842[/C][C]0.344413525669147[/C][/ROW]
[ROW][C]0.49[/C][C]81.5816797942807[/C][C]0.33830017753227[/C][/ROW]
[ROW][C]0.5[/C][C]81.6536437067224[/C][C]0.339411950433627[/C][/ROW]
[ROW][C]0.51[/C][C]81.7266539495768[/C][C]0.348518244252294[/C][/ROW]
[ROW][C]0.52[/C][C]81.8021703609566[/C][C]0.365310787354611[/C][/ROW]
[ROW][C]0.53[/C][C]81.8814698952982[/C][C]0.387902698765573[/C][/ROW]
[ROW][C]0.54[/C][C]81.9654797103598[/C][C]0.414088298748681[/C][/ROW]
[ROW][C]0.55[/C][C]82.0546499032354[/C][C]0.440774324420099[/C][/ROW]
[ROW][C]0.56[/C][C]82.1489008736645[/C][C]0.465021466822144[/C][/ROW]
[ROW][C]0.57[/C][C]82.2476717615324[/C][C]0.48446208979805[/C][/ROW]
[ROW][C]0.58[/C][C]82.3500795752268[/C][C]0.497664231756559[/C][/ROW]
[ROW][C]0.59[/C][C]82.4551764168307[/C][C]0.504734600163013[/C][/ROW]
[ROW][C]0.6[/C][C]82.5622696177446[/C][C]0.507624784419179[/C][/ROW]
[ROW][C]0.61[/C][C]82.6712519177305[/C][C]0.510195830238798[/C][/ROW]
[ROW][C]0.62[/C][C]82.7828797814273[/C][C]0.517397057574974[/C][/ROW]
[ROW][C]0.63[/C][C]82.8989388265653[/C][C]0.534926128693099[/C][/ROW]
[ROW][C]0.64[/C][C]83.0222455340298[/C][C]0.568488051002377[/C][/ROW]
[ROW][C]0.65[/C][C]83.1564529650346[/C][C]0.621563009565967[/C][/ROW]
[ROW][C]0.66[/C][C]83.3056549673727[/C][C]0.695050297304315[/C][/ROW]
[ROW][C]0.67[/C][C]83.4738184077089[/C][C]0.786504149441061[/C][/ROW]
[ROW][C]0.68[/C][C]83.664114217625[/C][C]0.889584180318024[/C][/ROW]
[ROW][C]0.69[/C][C]83.8782583207408[/C][C]0.995787821292431[/C][/ROW]
[ROW][C]0.7[/C][C]84.1159999577897[/C][C]1.09457298140822[/C][/ROW]
[ROW][C]0.71[/C][C]84.3748926729659[/C][C]1.17534963680214[/C][/ROW]
[ROW][C]0.72[/C][C]84.6504428652508[/C][C]1.22942089451244[/C][/ROW]
[ROW][C]0.73[/C][C]84.9366559142684[/C][C]1.25158928180679[/C][/ROW]
[ROW][C]0.74[/C][C]85.2269091417702[/C][C]1.24147647261094[/C][/ROW]
[ROW][C]0.75[/C][C]85.5150015334105[/C][C]1.20318933197492[/C][/ROW]
[ROW][C]0.76[/C][C]85.7961851658786[/C][C]1.14543078703511[/C][/ROW]
[ROW][C]0.77[/C][C]86.0679799649884[/C][C]1.07962610365527[/C][/ROW]
[ROW][C]0.78[/C][C]86.3306026561359[/C][C]1.01827768096410[/C][/ROW]
[ROW][C]0.79[/C][C]86.586889310744[/C][C]0.972783947488634[/C][/ROW]
[ROW][C]0.8[/C][C]86.84165786772[/C][C]0.951113041314343[/C][/ROW]
[ROW][C]0.81[/C][C]87.100558216991[/C][C]0.955226066377256[/C][/ROW]
[ROW][C]0.82[/C][C]87.3686057973853[/C][C]0.979349125041078[/C][/ROW]
[ROW][C]0.83[/C][C]87.648764409446[/C][C]1.01112251010728[/C][/ROW]
[ROW][C]0.84[/C][C]87.9410487152156[/C][C]1.03558576433371[/C][/ROW]
[ROW][C]0.85[/C][C]88.2425378200274[/C][C]1.04034172678716[/C][/ROW]
[ROW][C]0.86[/C][C]88.548364153228[/C][C]1.01960096456104[/C][/ROW]
[ROW][C]0.87[/C][C]88.8532587387536[/C][C]0.97624521963246[/C][/ROW]
[ROW][C]0.88[/C][C]89.1528711293354[/C][C]0.91888013569471[/C][/ROW]
[ROW][C]0.89[/C][C]89.4441787249002[/C][C]0.856152079224464[/C][/ROW]
[ROW][C]0.9[/C][C]89.7250067339697[/C][C]0.791074157732633[/C][/ROW]
[ROW][C]0.91[/C][C]89.993730677708[/C][C]0.72114355577783[/C][/ROW]
[ROW][C]0.92[/C][C]90.2509423123353[/C][C]0.64620695020184[/C][/ROW]
[ROW][C]0.93[/C][C]90.5044017319056[/C][C]0.580689234346384[/C][/ROW]
[ROW][C]0.94[/C][C]90.7763575802408[/C][C]0.563180033946687[/C][/ROW]
[ROW][C]0.95[/C][C]91.1081692417[/C][C]0.64355510118398[/C][/ROW]
[ROW][C]0.96[/C][C]91.55243425397[/C][C]0.824838736048607[/C][/ROW]
[ROW][C]0.97[/C][C]92.1427272809347[/C][C]1.01243737511972[/C][/ROW]
[ROW][C]0.98[/C][C]92.843620620167[/C][C]1.02952619870817[/C][/ROW]
[ROW][C]0.99[/C][C]93.50647778624[/C][C]0.774360681009544[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16567&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16567&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
0.0166.60175832256360.366263521301203
0.0266.98819421706910.859837485249489
0.0367.58475079015841.18809208199113
0.0468.2658326821071.25578753875514
0.0568.91911612131.18114802126933
0.0669.49934752403161.11595474400257
0.0770.01519198468211.11895337926975
0.0870.49223348624381.16029882468378
0.0970.94848496533161.19582511090808
0.171.38989162786321.20937460250358
0.1171.81652106364791.21103174359505
0.1272.22918798878141.22067006321396
0.1372.63197552900981.25209534419815
0.1473.03110151308531.30558240692007
0.1573.43251735448111.37204820070903
0.1673.84020219384941.44116483207778
0.1774.25578947471261.50712017844045
0.1874.67908246693491.56790719504715
0.1975.10867394587811.62252845689181
0.275.54218291908931.66654546592212
0.2175.97613821770461.69263152801661
0.2276.40587204221951.69344220211510
0.2376.82577240037551.66408000631348
0.2477.22997791623781.60513497002033
0.2577.61330397627341.52277101465387
0.2677.97204867181071.42627209540666
0.2778.30439128551251.32544121399901
0.2878.61029239690781.22807633510912
0.2978.89100990816231.13822811223010
0.379.14846303872731.05648274798383
0.3179.3846762766120.981298236652675
0.3279.60144741711060.910548642401626
0.3379.8002663959590.842657113707301
0.3479.98241731628250.777423199921048
0.3580.14915257212240.715865394219847
0.3680.30183576903370.659548204110805
0.3780.44199156507550.609809368642896
0.3880.57125203046390.567565639896132
0.3980.6912308984390.532400593806855
0.480.8033782398080.503378129609002
0.4180.90886721558020.478502625591879
0.4281.008547401320.456051063553142
0.4381.10297494997650.434533622347858
0.4481.19250749192860.413404509010673
0.4581.27743707221760.392605355741758
0.4681.35812941891880.373341305274387
0.4781.43514076460750.356590060374641
0.4881.50929088958420.344413525669147
0.4981.58167979428070.33830017753227
0.581.65364370672240.339411950433627
0.5181.72665394957680.348518244252294
0.5281.80217036095660.365310787354611
0.5381.88146989529820.387902698765573
0.5481.96547971035980.414088298748681
0.5582.05464990323540.440774324420099
0.5682.14890087366450.465021466822144
0.5782.24767176153240.48446208979805
0.5882.35007957522680.497664231756559
0.5982.45517641683070.504734600163013
0.682.56226961774460.507624784419179
0.6182.67125191773050.510195830238798
0.6282.78287978142730.517397057574974
0.6382.89893882656530.534926128693099
0.6483.02224553402980.568488051002377
0.6583.15645296503460.621563009565967
0.6683.30565496737270.695050297304315
0.6783.47381840770890.786504149441061
0.6883.6641142176250.889584180318024
0.6983.87825832074080.995787821292431
0.784.11599995778971.09457298140822
0.7184.37489267296591.17534963680214
0.7284.65044286525081.22942089451244
0.7384.93665591426841.25158928180679
0.7485.22690914177021.24147647261094
0.7585.51500153341051.20318933197492
0.7685.79618516587861.14543078703511
0.7786.06797996498841.07962610365527
0.7886.33060265613591.01827768096410
0.7986.5868893107440.972783947488634
0.886.841657867720.951113041314343
0.8187.1005582169910.955226066377256
0.8287.36860579738530.979349125041078
0.8387.6487644094461.01112251010728
0.8487.94104871521561.03558576433371
0.8588.24253782002741.04034172678716
0.8688.5483641532281.01960096456104
0.8788.85325873875360.97624521963246
0.8889.15287112933540.91888013569471
0.8989.44417872490020.856152079224464
0.989.72500673396970.791074157732633
0.9189.9937306777080.72114355577783
0.9290.25094231233530.64620695020184
0.9390.50440173190560.580689234346384
0.9490.77635758024080.563180033946687
0.9591.10816924170.64355510118398
0.9691.552434253970.824838736048607
0.9792.14272728093471.01243737511972
0.9892.8436206201671.02952619870817
0.9993.506477786240.774360681009544


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')