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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, 01 Mar 2008 09:09:32 -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/Mar/01/t12043878567im31wbvfcbi3zx.htm/, Retrieved Wed, 22 May 2024 17:13:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9418, Retrieved Wed, 22 May 2024 17:13:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160

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] [Percentielen brui...] [2008-03-01 16:09:32] [7a9f63e4bf7db90efe8f65b845927abf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.44
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.57
1.58
1.58
1.58
1.58
1.59
1.6
1.6
1.61
1.61
1.61
1.62
1.63
1.63
1.64
1.64
1.64
1.64
1.64
1.65
1.65
1.65
1.65

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9418&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9418&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9418&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.430000000001900
0.021.430000000031120
0.031.430000000287670
0.041.430000001921260
0.051.430000010209810
0.061.430000045459404.51134894640988e-07
0.071.430000175146341.33584116325542e-06
0.081.430000596928362.67168232651085e-06
0.091.430001828740108.45235028712971e-06
0.11.430005097895022.31233361649187e-05
0.111.430013056108245.56081693924811e-05
0.121.430030959925340.000122824362187536
0.131.430068414361150.000251950591351531
0.141.430141650260010.000484485942132763
0.151.430276081603410.000873071367849918
0.161.430508598209670.00148250422701958
0.171.430888776049010.00238117638715924
0.181.431478057379760.00362423982525316
0.191.432346092279120.00524193175484052
0.21.433563908447040.00722035476234264
0.211.435194340259420.00949154501141511
0.221.437281022746010.0119245380871219
0.231.439837971122500.0143448106809561
0.241.442842048947960.0165436766739593
0.251.44623031080340.0183162124900848
0.261.449903306786950.0194893823606528
0.271.453734172081560.0199530122521000
0.281.457582043966520.0196715495777553
0.291.461307413436080.0186930410628027
0.31.464786681391870.0171350536248998
0.311.467923512242880.0151623224996034
0.321.470655424943700.0129599254406383
0.331.472955161315590.0107069264191146
0.341.474827416830730.00855476442591267
0.351.476302265270260.0066134279065385
0.361.477426934775440.00494857259894948
0.371.478257511690930.00358644351752669
0.381.47885177373890.00251789629968193
0.391.479263843728270.00171373539150894
0.41.479540857641850.00113024182488066
0.411.479721458738840.000722915827049078
0.421.479835705858970.000448713830174643
0.431.479905912446240.000270477284133487
0.441.479947974600020.000158844963498389
0.451.479972852900989.14553944598751e-05
0.461.479988000403855.49114961762442e-05
0.471.479998648122584.20824335117514e-05
0.481.480008954263665.25576956205858e-05
0.491.480023090160428.74673749784652e-05
0.51.480046375669000.000155650892911757
0.511.480086591428040.000273458746643967
0.521.480155583467510.000466894372775617
0.531.480271231690490.000775106863854292
0.541.480459770018100.00124962243134250
0.551.480758317175590.00195767587571102
0.561.481217307099360.00297312195969432
0.571.481902317062790.00438511666415882
0.581.482894621401040.00627340838933006
0.591.484289710738620.00870951658467223
0.61.486193081980810.0117283112084885
0.611.488712882739820.0153205924769984
0.621.491949505561990.0194072993460309
0.631.49598292596670.0238395712567879
0.641.500859337148650.0283948091212836
0.651.506579257615440.0327923139915446
0.661.513089554698350.0367211447782664
0.671.520281558954390.0398772784430793
0.681.527996583523960.0420120955189524
0.691.536038822617440.0429675267153533
0.71.544194072785440.0426994869050928
0.711.552251397728280.041291739650882
0.721.560024130992680.0389406089384229
0.731.567366723773520.0359209985227761
0.741.57418489285380.0325444506365313
0.751.58043803667460.0291138696419054
0.761.586134512757890.0258836468074938
0.771.591321630678820.023031692805206
0.781.596072787387070.0206586195311253
0.791.600474003596190.0187863578206734
0.81.604611439658910.0173788731873446
0.811.608560677231510.0163541790801291
0.821.61237804038050.0156009451847665
0.831.616094205057330.0149851563230317
0.841.619710744396980.0143666427811628
0.851.623200768601440.0136177262090924
0.861.626515006388760.0126453502972294
0.871.629594128471960.0114160362579548
0.881.632386571670920.00996954837243039
0.891.634868594909010.00842536253414397
0.91.637060264413660.00696712767562495
0.911.639028796074100.00581263959504994
0.921.640871450665470.0051346558938815
0.931.642676632011430.00490929869546567
0.941.644474682972920.00483626222736731
0.951.646204217139920.00450956225972702
0.961.647723629560590.00368514173680297
0.971.648877891011810.00244960721485939
0.981.649589977983260.00118971130247257
0.991.649913583267250.000328646716975079

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.43000000000190 & 0 \tabularnewline
0.02 & 1.43000000003112 & 0 \tabularnewline
0.03 & 1.43000000028767 & 0 \tabularnewline
0.04 & 1.43000000192126 & 0 \tabularnewline
0.05 & 1.43000001020981 & 0 \tabularnewline
0.06 & 1.43000004545940 & 4.51134894640988e-07 \tabularnewline
0.07 & 1.43000017514634 & 1.33584116325542e-06 \tabularnewline
0.08 & 1.43000059692836 & 2.67168232651085e-06 \tabularnewline
0.09 & 1.43000182874010 & 8.45235028712971e-06 \tabularnewline
0.1 & 1.43000509789502 & 2.31233361649187e-05 \tabularnewline
0.11 & 1.43001305610824 & 5.56081693924811e-05 \tabularnewline
0.12 & 1.43003095992534 & 0.000122824362187536 \tabularnewline
0.13 & 1.43006841436115 & 0.000251950591351531 \tabularnewline
0.14 & 1.43014165026001 & 0.000484485942132763 \tabularnewline
0.15 & 1.43027608160341 & 0.000873071367849918 \tabularnewline
0.16 & 1.43050859820967 & 0.00148250422701958 \tabularnewline
0.17 & 1.43088877604901 & 0.00238117638715924 \tabularnewline
0.18 & 1.43147805737976 & 0.00362423982525316 \tabularnewline
0.19 & 1.43234609227912 & 0.00524193175484052 \tabularnewline
0.2 & 1.43356390844704 & 0.00722035476234264 \tabularnewline
0.21 & 1.43519434025942 & 0.00949154501141511 \tabularnewline
0.22 & 1.43728102274601 & 0.0119245380871219 \tabularnewline
0.23 & 1.43983797112250 & 0.0143448106809561 \tabularnewline
0.24 & 1.44284204894796 & 0.0165436766739593 \tabularnewline
0.25 & 1.4462303108034 & 0.0183162124900848 \tabularnewline
0.26 & 1.44990330678695 & 0.0194893823606528 \tabularnewline
0.27 & 1.45373417208156 & 0.0199530122521000 \tabularnewline
0.28 & 1.45758204396652 & 0.0196715495777553 \tabularnewline
0.29 & 1.46130741343608 & 0.0186930410628027 \tabularnewline
0.3 & 1.46478668139187 & 0.0171350536248998 \tabularnewline
0.31 & 1.46792351224288 & 0.0151623224996034 \tabularnewline
0.32 & 1.47065542494370 & 0.0129599254406383 \tabularnewline
0.33 & 1.47295516131559 & 0.0107069264191146 \tabularnewline
0.34 & 1.47482741683073 & 0.00855476442591267 \tabularnewline
0.35 & 1.47630226527026 & 0.0066134279065385 \tabularnewline
0.36 & 1.47742693477544 & 0.00494857259894948 \tabularnewline
0.37 & 1.47825751169093 & 0.00358644351752669 \tabularnewline
0.38 & 1.4788517737389 & 0.00251789629968193 \tabularnewline
0.39 & 1.47926384372827 & 0.00171373539150894 \tabularnewline
0.4 & 1.47954085764185 & 0.00113024182488066 \tabularnewline
0.41 & 1.47972145873884 & 0.000722915827049078 \tabularnewline
0.42 & 1.47983570585897 & 0.000448713830174643 \tabularnewline
0.43 & 1.47990591244624 & 0.000270477284133487 \tabularnewline
0.44 & 1.47994797460002 & 0.000158844963498389 \tabularnewline
0.45 & 1.47997285290098 & 9.14553944598751e-05 \tabularnewline
0.46 & 1.47998800040385 & 5.49114961762442e-05 \tabularnewline
0.47 & 1.47999864812258 & 4.20824335117514e-05 \tabularnewline
0.48 & 1.48000895426366 & 5.25576956205858e-05 \tabularnewline
0.49 & 1.48002309016042 & 8.74673749784652e-05 \tabularnewline
0.5 & 1.48004637566900 & 0.000155650892911757 \tabularnewline
0.51 & 1.48008659142804 & 0.000273458746643967 \tabularnewline
0.52 & 1.48015558346751 & 0.000466894372775617 \tabularnewline
0.53 & 1.48027123169049 & 0.000775106863854292 \tabularnewline
0.54 & 1.48045977001810 & 0.00124962243134250 \tabularnewline
0.55 & 1.48075831717559 & 0.00195767587571102 \tabularnewline
0.56 & 1.48121730709936 & 0.00297312195969432 \tabularnewline
0.57 & 1.48190231706279 & 0.00438511666415882 \tabularnewline
0.58 & 1.48289462140104 & 0.00627340838933006 \tabularnewline
0.59 & 1.48428971073862 & 0.00870951658467223 \tabularnewline
0.6 & 1.48619308198081 & 0.0117283112084885 \tabularnewline
0.61 & 1.48871288273982 & 0.0153205924769984 \tabularnewline
0.62 & 1.49194950556199 & 0.0194072993460309 \tabularnewline
0.63 & 1.4959829259667 & 0.0238395712567879 \tabularnewline
0.64 & 1.50085933714865 & 0.0283948091212836 \tabularnewline
0.65 & 1.50657925761544 & 0.0327923139915446 \tabularnewline
0.66 & 1.51308955469835 & 0.0367211447782664 \tabularnewline
0.67 & 1.52028155895439 & 0.0398772784430793 \tabularnewline
0.68 & 1.52799658352396 & 0.0420120955189524 \tabularnewline
0.69 & 1.53603882261744 & 0.0429675267153533 \tabularnewline
0.7 & 1.54419407278544 & 0.0426994869050928 \tabularnewline
0.71 & 1.55225139772828 & 0.041291739650882 \tabularnewline
0.72 & 1.56002413099268 & 0.0389406089384229 \tabularnewline
0.73 & 1.56736672377352 & 0.0359209985227761 \tabularnewline
0.74 & 1.5741848928538 & 0.0325444506365313 \tabularnewline
0.75 & 1.5804380366746 & 0.0291138696419054 \tabularnewline
0.76 & 1.58613451275789 & 0.0258836468074938 \tabularnewline
0.77 & 1.59132163067882 & 0.023031692805206 \tabularnewline
0.78 & 1.59607278738707 & 0.0206586195311253 \tabularnewline
0.79 & 1.60047400359619 & 0.0187863578206734 \tabularnewline
0.8 & 1.60461143965891 & 0.0173788731873446 \tabularnewline
0.81 & 1.60856067723151 & 0.0163541790801291 \tabularnewline
0.82 & 1.6123780403805 & 0.0156009451847665 \tabularnewline
0.83 & 1.61609420505733 & 0.0149851563230317 \tabularnewline
0.84 & 1.61971074439698 & 0.0143666427811628 \tabularnewline
0.85 & 1.62320076860144 & 0.0136177262090924 \tabularnewline
0.86 & 1.62651500638876 & 0.0126453502972294 \tabularnewline
0.87 & 1.62959412847196 & 0.0114160362579548 \tabularnewline
0.88 & 1.63238657167092 & 0.00996954837243039 \tabularnewline
0.89 & 1.63486859490901 & 0.00842536253414397 \tabularnewline
0.9 & 1.63706026441366 & 0.00696712767562495 \tabularnewline
0.91 & 1.63902879607410 & 0.00581263959504994 \tabularnewline
0.92 & 1.64087145066547 & 0.0051346558938815 \tabularnewline
0.93 & 1.64267663201143 & 0.00490929869546567 \tabularnewline
0.94 & 1.64447468297292 & 0.00483626222736731 \tabularnewline
0.95 & 1.64620421713992 & 0.00450956225972702 \tabularnewline
0.96 & 1.64772362956059 & 0.00368514173680297 \tabularnewline
0.97 & 1.64887789101181 & 0.00244960721485939 \tabularnewline
0.98 & 1.64958997798326 & 0.00118971130247257 \tabularnewline
0.99 & 1.64991358326725 & 0.000328646716975079 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9418&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]1.43000000000190[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]1.43000000003112[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]1.43000000028767[/C][C]0[/C][/ROW]
[ROW][C]0.04[/C][C]1.43000000192126[/C][C]0[/C][/ROW]
[ROW][C]0.05[/C][C]1.43000001020981[/C][C]0[/C][/ROW]
[ROW][C]0.06[/C][C]1.43000004545940[/C][C]4.51134894640988e-07[/C][/ROW]
[ROW][C]0.07[/C][C]1.43000017514634[/C][C]1.33584116325542e-06[/C][/ROW]
[ROW][C]0.08[/C][C]1.43000059692836[/C][C]2.67168232651085e-06[/C][/ROW]
[ROW][C]0.09[/C][C]1.43000182874010[/C][C]8.45235028712971e-06[/C][/ROW]
[ROW][C]0.1[/C][C]1.43000509789502[/C][C]2.31233361649187e-05[/C][/ROW]
[ROW][C]0.11[/C][C]1.43001305610824[/C][C]5.56081693924811e-05[/C][/ROW]
[ROW][C]0.12[/C][C]1.43003095992534[/C][C]0.000122824362187536[/C][/ROW]
[ROW][C]0.13[/C][C]1.43006841436115[/C][C]0.000251950591351531[/C][/ROW]
[ROW][C]0.14[/C][C]1.43014165026001[/C][C]0.000484485942132763[/C][/ROW]
[ROW][C]0.15[/C][C]1.43027608160341[/C][C]0.000873071367849918[/C][/ROW]
[ROW][C]0.16[/C][C]1.43050859820967[/C][C]0.00148250422701958[/C][/ROW]
[ROW][C]0.17[/C][C]1.43088877604901[/C][C]0.00238117638715924[/C][/ROW]
[ROW][C]0.18[/C][C]1.43147805737976[/C][C]0.00362423982525316[/C][/ROW]
[ROW][C]0.19[/C][C]1.43234609227912[/C][C]0.00524193175484052[/C][/ROW]
[ROW][C]0.2[/C][C]1.43356390844704[/C][C]0.00722035476234264[/C][/ROW]
[ROW][C]0.21[/C][C]1.43519434025942[/C][C]0.00949154501141511[/C][/ROW]
[ROW][C]0.22[/C][C]1.43728102274601[/C][C]0.0119245380871219[/C][/ROW]
[ROW][C]0.23[/C][C]1.43983797112250[/C][C]0.0143448106809561[/C][/ROW]
[ROW][C]0.24[/C][C]1.44284204894796[/C][C]0.0165436766739593[/C][/ROW]
[ROW][C]0.25[/C][C]1.4462303108034[/C][C]0.0183162124900848[/C][/ROW]
[ROW][C]0.26[/C][C]1.44990330678695[/C][C]0.0194893823606528[/C][/ROW]
[ROW][C]0.27[/C][C]1.45373417208156[/C][C]0.0199530122521000[/C][/ROW]
[ROW][C]0.28[/C][C]1.45758204396652[/C][C]0.0196715495777553[/C][/ROW]
[ROW][C]0.29[/C][C]1.46130741343608[/C][C]0.0186930410628027[/C][/ROW]
[ROW][C]0.3[/C][C]1.46478668139187[/C][C]0.0171350536248998[/C][/ROW]
[ROW][C]0.31[/C][C]1.46792351224288[/C][C]0.0151623224996034[/C][/ROW]
[ROW][C]0.32[/C][C]1.47065542494370[/C][C]0.0129599254406383[/C][/ROW]
[ROW][C]0.33[/C][C]1.47295516131559[/C][C]0.0107069264191146[/C][/ROW]
[ROW][C]0.34[/C][C]1.47482741683073[/C][C]0.00855476442591267[/C][/ROW]
[ROW][C]0.35[/C][C]1.47630226527026[/C][C]0.0066134279065385[/C][/ROW]
[ROW][C]0.36[/C][C]1.47742693477544[/C][C]0.00494857259894948[/C][/ROW]
[ROW][C]0.37[/C][C]1.47825751169093[/C][C]0.00358644351752669[/C][/ROW]
[ROW][C]0.38[/C][C]1.4788517737389[/C][C]0.00251789629968193[/C][/ROW]
[ROW][C]0.39[/C][C]1.47926384372827[/C][C]0.00171373539150894[/C][/ROW]
[ROW][C]0.4[/C][C]1.47954085764185[/C][C]0.00113024182488066[/C][/ROW]
[ROW][C]0.41[/C][C]1.47972145873884[/C][C]0.000722915827049078[/C][/ROW]
[ROW][C]0.42[/C][C]1.47983570585897[/C][C]0.000448713830174643[/C][/ROW]
[ROW][C]0.43[/C][C]1.47990591244624[/C][C]0.000270477284133487[/C][/ROW]
[ROW][C]0.44[/C][C]1.47994797460002[/C][C]0.000158844963498389[/C][/ROW]
[ROW][C]0.45[/C][C]1.47997285290098[/C][C]9.14553944598751e-05[/C][/ROW]
[ROW][C]0.46[/C][C]1.47998800040385[/C][C]5.49114961762442e-05[/C][/ROW]
[ROW][C]0.47[/C][C]1.47999864812258[/C][C]4.20824335117514e-05[/C][/ROW]
[ROW][C]0.48[/C][C]1.48000895426366[/C][C]5.25576956205858e-05[/C][/ROW]
[ROW][C]0.49[/C][C]1.48002309016042[/C][C]8.74673749784652e-05[/C][/ROW]
[ROW][C]0.5[/C][C]1.48004637566900[/C][C]0.000155650892911757[/C][/ROW]
[ROW][C]0.51[/C][C]1.48008659142804[/C][C]0.000273458746643967[/C][/ROW]
[ROW][C]0.52[/C][C]1.48015558346751[/C][C]0.000466894372775617[/C][/ROW]
[ROW][C]0.53[/C][C]1.48027123169049[/C][C]0.000775106863854292[/C][/ROW]
[ROW][C]0.54[/C][C]1.48045977001810[/C][C]0.00124962243134250[/C][/ROW]
[ROW][C]0.55[/C][C]1.48075831717559[/C][C]0.00195767587571102[/C][/ROW]
[ROW][C]0.56[/C][C]1.48121730709936[/C][C]0.00297312195969432[/C][/ROW]
[ROW][C]0.57[/C][C]1.48190231706279[/C][C]0.00438511666415882[/C][/ROW]
[ROW][C]0.58[/C][C]1.48289462140104[/C][C]0.00627340838933006[/C][/ROW]
[ROW][C]0.59[/C][C]1.48428971073862[/C][C]0.00870951658467223[/C][/ROW]
[ROW][C]0.6[/C][C]1.48619308198081[/C][C]0.0117283112084885[/C][/ROW]
[ROW][C]0.61[/C][C]1.48871288273982[/C][C]0.0153205924769984[/C][/ROW]
[ROW][C]0.62[/C][C]1.49194950556199[/C][C]0.0194072993460309[/C][/ROW]
[ROW][C]0.63[/C][C]1.4959829259667[/C][C]0.0238395712567879[/C][/ROW]
[ROW][C]0.64[/C][C]1.50085933714865[/C][C]0.0283948091212836[/C][/ROW]
[ROW][C]0.65[/C][C]1.50657925761544[/C][C]0.0327923139915446[/C][/ROW]
[ROW][C]0.66[/C][C]1.51308955469835[/C][C]0.0367211447782664[/C][/ROW]
[ROW][C]0.67[/C][C]1.52028155895439[/C][C]0.0398772784430793[/C][/ROW]
[ROW][C]0.68[/C][C]1.52799658352396[/C][C]0.0420120955189524[/C][/ROW]
[ROW][C]0.69[/C][C]1.53603882261744[/C][C]0.0429675267153533[/C][/ROW]
[ROW][C]0.7[/C][C]1.54419407278544[/C][C]0.0426994869050928[/C][/ROW]
[ROW][C]0.71[/C][C]1.55225139772828[/C][C]0.041291739650882[/C][/ROW]
[ROW][C]0.72[/C][C]1.56002413099268[/C][C]0.0389406089384229[/C][/ROW]
[ROW][C]0.73[/C][C]1.56736672377352[/C][C]0.0359209985227761[/C][/ROW]
[ROW][C]0.74[/C][C]1.5741848928538[/C][C]0.0325444506365313[/C][/ROW]
[ROW][C]0.75[/C][C]1.5804380366746[/C][C]0.0291138696419054[/C][/ROW]
[ROW][C]0.76[/C][C]1.58613451275789[/C][C]0.0258836468074938[/C][/ROW]
[ROW][C]0.77[/C][C]1.59132163067882[/C][C]0.023031692805206[/C][/ROW]
[ROW][C]0.78[/C][C]1.59607278738707[/C][C]0.0206586195311253[/C][/ROW]
[ROW][C]0.79[/C][C]1.60047400359619[/C][C]0.0187863578206734[/C][/ROW]
[ROW][C]0.8[/C][C]1.60461143965891[/C][C]0.0173788731873446[/C][/ROW]
[ROW][C]0.81[/C][C]1.60856067723151[/C][C]0.0163541790801291[/C][/ROW]
[ROW][C]0.82[/C][C]1.6123780403805[/C][C]0.0156009451847665[/C][/ROW]
[ROW][C]0.83[/C][C]1.61609420505733[/C][C]0.0149851563230317[/C][/ROW]
[ROW][C]0.84[/C][C]1.61971074439698[/C][C]0.0143666427811628[/C][/ROW]
[ROW][C]0.85[/C][C]1.62320076860144[/C][C]0.0136177262090924[/C][/ROW]
[ROW][C]0.86[/C][C]1.62651500638876[/C][C]0.0126453502972294[/C][/ROW]
[ROW][C]0.87[/C][C]1.62959412847196[/C][C]0.0114160362579548[/C][/ROW]
[ROW][C]0.88[/C][C]1.63238657167092[/C][C]0.00996954837243039[/C][/ROW]
[ROW][C]0.89[/C][C]1.63486859490901[/C][C]0.00842536253414397[/C][/ROW]
[ROW][C]0.9[/C][C]1.63706026441366[/C][C]0.00696712767562495[/C][/ROW]
[ROW][C]0.91[/C][C]1.63902879607410[/C][C]0.00581263959504994[/C][/ROW]
[ROW][C]0.92[/C][C]1.64087145066547[/C][C]0.0051346558938815[/C][/ROW]
[ROW][C]0.93[/C][C]1.64267663201143[/C][C]0.00490929869546567[/C][/ROW]
[ROW][C]0.94[/C][C]1.64447468297292[/C][C]0.00483626222736731[/C][/ROW]
[ROW][C]0.95[/C][C]1.64620421713992[/C][C]0.00450956225972702[/C][/ROW]
[ROW][C]0.96[/C][C]1.64772362956059[/C][C]0.00368514173680297[/C][/ROW]
[ROW][C]0.97[/C][C]1.64887789101181[/C][C]0.00244960721485939[/C][/ROW]
[ROW][C]0.98[/C][C]1.64958997798326[/C][C]0.00118971130247257[/C][/ROW]
[ROW][C]0.99[/C][C]1.64991358326725[/C][C]0.000328646716975079[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9418&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9418&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
0.011.430000000001900
0.021.430000000031120
0.031.430000000287670
0.041.430000001921260
0.051.430000010209810
0.061.430000045459404.51134894640988e-07
0.071.430000175146341.33584116325542e-06
0.081.430000596928362.67168232651085e-06
0.091.430001828740108.45235028712971e-06
0.11.430005097895022.31233361649187e-05
0.111.430013056108245.56081693924811e-05
0.121.430030959925340.000122824362187536
0.131.430068414361150.000251950591351531
0.141.430141650260010.000484485942132763
0.151.430276081603410.000873071367849918
0.161.430508598209670.00148250422701958
0.171.430888776049010.00238117638715924
0.181.431478057379760.00362423982525316
0.191.432346092279120.00524193175484052
0.21.433563908447040.00722035476234264
0.211.435194340259420.00949154501141511
0.221.437281022746010.0119245380871219
0.231.439837971122500.0143448106809561
0.241.442842048947960.0165436766739593
0.251.44623031080340.0183162124900848
0.261.449903306786950.0194893823606528
0.271.453734172081560.0199530122521000
0.281.457582043966520.0196715495777553
0.291.461307413436080.0186930410628027
0.31.464786681391870.0171350536248998
0.311.467923512242880.0151623224996034
0.321.470655424943700.0129599254406383
0.331.472955161315590.0107069264191146
0.341.474827416830730.00855476442591267
0.351.476302265270260.0066134279065385
0.361.477426934775440.00494857259894948
0.371.478257511690930.00358644351752669
0.381.47885177373890.00251789629968193
0.391.479263843728270.00171373539150894
0.41.479540857641850.00113024182488066
0.411.479721458738840.000722915827049078
0.421.479835705858970.000448713830174643
0.431.479905912446240.000270477284133487
0.441.479947974600020.000158844963498389
0.451.479972852900989.14553944598751e-05
0.461.479988000403855.49114961762442e-05
0.471.479998648122584.20824335117514e-05
0.481.480008954263665.25576956205858e-05
0.491.480023090160428.74673749784652e-05
0.51.480046375669000.000155650892911757
0.511.480086591428040.000273458746643967
0.521.480155583467510.000466894372775617
0.531.480271231690490.000775106863854292
0.541.480459770018100.00124962243134250
0.551.480758317175590.00195767587571102
0.561.481217307099360.00297312195969432
0.571.481902317062790.00438511666415882
0.581.482894621401040.00627340838933006
0.591.484289710738620.00870951658467223
0.61.486193081980810.0117283112084885
0.611.488712882739820.0153205924769984
0.621.491949505561990.0194072993460309
0.631.49598292596670.0238395712567879
0.641.500859337148650.0283948091212836
0.651.506579257615440.0327923139915446
0.661.513089554698350.0367211447782664
0.671.520281558954390.0398772784430793
0.681.527996583523960.0420120955189524
0.691.536038822617440.0429675267153533
0.71.544194072785440.0426994869050928
0.711.552251397728280.041291739650882
0.721.560024130992680.0389406089384229
0.731.567366723773520.0359209985227761
0.741.57418489285380.0325444506365313
0.751.58043803667460.0291138696419054
0.761.586134512757890.0258836468074938
0.771.591321630678820.023031692805206
0.781.596072787387070.0206586195311253
0.791.600474003596190.0187863578206734
0.81.604611439658910.0173788731873446
0.811.608560677231510.0163541790801291
0.821.61237804038050.0156009451847665
0.831.616094205057330.0149851563230317
0.841.619710744396980.0143666427811628
0.851.623200768601440.0136177262090924
0.861.626515006388760.0126453502972294
0.871.629594128471960.0114160362579548
0.881.632386571670920.00996954837243039
0.891.634868594909010.00842536253414397
0.91.637060264413660.00696712767562495
0.911.639028796074100.00581263959504994
0.921.640871450665470.0051346558938815
0.931.642676632011430.00490929869546567
0.941.644474682972920.00483626222736731
0.951.646204217139920.00450956225972702
0.961.647723629560590.00368514173680297
0.971.648877891011810.00244960721485939
0.981.649589977983260.00118971130247257
0.991.649913583267250.000328646716975079


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')