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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, 03 Jan 2015 10:38:46 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Jan/03/t1420281641615vj95d6xfae32.htm/, Retrieved Mon, 13 May 2024 22:16:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271886, Retrieved Mon, 13 May 2024 22:16:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

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] [] [2014-10-13 13:57:38] [8ae5f3921d0f515f24933d117e773272]
- R  D    [Harrell-Davis Quantiles] [] [2015-01-03 10:38:46] [77e76d07a5b02a0482982fb19d5d5436] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
21,94
21,95
21,96
22,1
22,13
22,18
22,18
22,27
22,3
22,04
22,05
22,06
22,06
22,06
21,97
22,03
22,08
22,13
22,13
22,4
22,4
22,12
22,22
22,14
22,14
22,19
22,29
22,24
22,26
22,29
22,29
22,29
22,29
22,35
22,39
22,43
22,43
22,11
22,12
22,05
22,05
22,08
22,08
22,09
22,09
22,24
22,25
22,24
22,24
22,25
22,28
22,23
22,29
22,31
22,31
22,31
22,39
22,42
22,42
22,42
22,15
21,95
21,96
21,97
21,66
21,66
21,68
21,75
21,55
21,59
21,54
21,54

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271886&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271886&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271886&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0121.54244907881260.00769440645919207
0.0221.54961770138150.0217172190459675
0.0321.56283139130730.0381697255731949
0.0421.58198031110570.0535705317758191
0.0521.606053130150.066936239416308
0.0621.63391594441590.0794730696399221
0.0721.66475109645670.0924272906711589
0.0821.69800630019580.105263531679946
0.0921.73307402084630.115745356100232
0.121.76902385315350.121353623922904
0.1121.80458186881150.12067879671728
0.1221.8383493181240.113822259197166
0.1321.8691190573460.102369535848627
0.1421.89613019327440.0886605318205914
0.1521.91916737008490.0750504932765234
0.1621.93849887239710.0633854046266329
0.1721.95470967019870.0546133499220309
0.1821.96850513864560.0488151726343343
0.1921.98054686571780.0452823128981089
0.221.99135227013140.0430874547883757
0.2122.00126111705990.0413583461749722
0.2222.01045330328030.0395130713881578
0.2322.01899508423930.037295235311655
0.2422.02689249680260.0347100673912436
0.2522.03413701472740.0318951728321736
0.2622.04073592077460.029091024968796
0.2722.04672621023350.0265514196876776
0.2822.05217501772470.0243997720784156
0.2922.05717146616030.0227550660314421
0.322.06181491132870.0216531050097914
0.3122.06620347656390.0210104260006071
0.3222.07042522562620.0207290852988076
0.3322.07455284988860.0207646347366102
0.3422.07864167264870.0209678783931181
0.3522.08273020433150.0212878988528345
0.3622.08684235346830.0216879673019683
0.3722.09099055112760.0220404582199487
0.3822.09517930279220.0223919632236975
0.3922.09940890011730.0227037902028897
0.422.1036791300380.0230110124785976
0.4122.10799280330250.0232834646800358
0.4222.1123588331670.0236000353535985
0.4322.11679449656970.024062542253149
0.4422.12132647033850.0246704681878875
0.4522.12599029566310.025528535134839
0.4622.1308280929410.0266655315998935
0.4722.13588460084090.0281009807956465
0.4822.14120189920670.029743882178952
0.4922.14681343693170.0315916600467363
0.522.15273816953640.0334979879579055
0.5122.15897567864090.0353187323392462
0.5222.16550307975680.0369413630702609
0.5322.17227433057050.0382255752638105
0.5422.179222252970.0390219297294983
0.5522.18626321674960.0392872189487934
0.5622.19330404920020.0389760756685647
0.5722.2002503856950.0380872382088531
0.5822.20701541507080.0367146333583169
0.5922.21352784727030.0349523456840561
0.622.21973797298970.0329322104414526
0.6122.22562090784330.0308339145477072
0.6222.23117650015890.0288027597630557
0.6322.23642588419130.0269454860454989
0.6422.2414052040770.0253919412553669
0.6522.24615752629660.0241475371838912
0.6622.25072430713830.0231594121883106
0.6722.25513791187140.0223741564256793
0.6822.25941655396790.0216850105436575
0.6922.26356264216380.0209467758058379
0.722.26756494725580.0201121454528626
0.7122.27140433096380.0191049400539226
0.7222.27506214667610.017953535920464
0.7322.27852995993740.0167084441912403
0.7422.2818190470250.0154989914881787
0.7522.28496824611530.0144548980390616
0.7622.28804909444780.0137719235198117
0.7722.29116762659210.0136530563779529
0.7822.29446252068370.0142332058701768
0.7922.29809929207990.015608658296677
0.822.30225995019050.0178063386335476
0.8122.30712723135810.020732775556439
0.8222.31286273489270.0242621171002162
0.8322.31957960247710.0280987546281715
0.8422.32731300794490.0318643409797089
0.8522.33599505604210.0350795794439992
0.8622.34544310984860.0372385270152923
0.8722.3553699053830.037932188807624
0.8822.36541855935610.0369839039504754
0.8922.37521647886950.0344890406647445
0.922.38443316557530.030804179082291
0.9122.39282396377980.0264727403246575
0.9222.40024910905670.0220102195845427
0.9322.40667199979210.0177864213057026
0.9422.41214991514980.0139977698113054
0.9522.41681968797530.0108054003409708
0.9622.42085298927850.008420618718906
0.9722.42435018719070.00677858232225573
0.9822.42721254133460.0050558121377766
0.9922.4291547039380.0024934185476748

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 21.5424490788126 & 0.00769440645919207 \tabularnewline
0.02 & 21.5496177013815 & 0.0217172190459675 \tabularnewline
0.03 & 21.5628313913073 & 0.0381697255731949 \tabularnewline
0.04 & 21.5819803111057 & 0.0535705317758191 \tabularnewline
0.05 & 21.60605313015 & 0.066936239416308 \tabularnewline
0.06 & 21.6339159444159 & 0.0794730696399221 \tabularnewline
0.07 & 21.6647510964567 & 0.0924272906711589 \tabularnewline
0.08 & 21.6980063001958 & 0.105263531679946 \tabularnewline
0.09 & 21.7330740208463 & 0.115745356100232 \tabularnewline
0.1 & 21.7690238531535 & 0.121353623922904 \tabularnewline
0.11 & 21.8045818688115 & 0.12067879671728 \tabularnewline
0.12 & 21.838349318124 & 0.113822259197166 \tabularnewline
0.13 & 21.869119057346 & 0.102369535848627 \tabularnewline
0.14 & 21.8961301932744 & 0.0886605318205914 \tabularnewline
0.15 & 21.9191673700849 & 0.0750504932765234 \tabularnewline
0.16 & 21.9384988723971 & 0.0633854046266329 \tabularnewline
0.17 & 21.9547096701987 & 0.0546133499220309 \tabularnewline
0.18 & 21.9685051386456 & 0.0488151726343343 \tabularnewline
0.19 & 21.9805468657178 & 0.0452823128981089 \tabularnewline
0.2 & 21.9913522701314 & 0.0430874547883757 \tabularnewline
0.21 & 22.0012611170599 & 0.0413583461749722 \tabularnewline
0.22 & 22.0104533032803 & 0.0395130713881578 \tabularnewline
0.23 & 22.0189950842393 & 0.037295235311655 \tabularnewline
0.24 & 22.0268924968026 & 0.0347100673912436 \tabularnewline
0.25 & 22.0341370147274 & 0.0318951728321736 \tabularnewline
0.26 & 22.0407359207746 & 0.029091024968796 \tabularnewline
0.27 & 22.0467262102335 & 0.0265514196876776 \tabularnewline
0.28 & 22.0521750177247 & 0.0243997720784156 \tabularnewline
0.29 & 22.0571714661603 & 0.0227550660314421 \tabularnewline
0.3 & 22.0618149113287 & 0.0216531050097914 \tabularnewline
0.31 & 22.0662034765639 & 0.0210104260006071 \tabularnewline
0.32 & 22.0704252256262 & 0.0207290852988076 \tabularnewline
0.33 & 22.0745528498886 & 0.0207646347366102 \tabularnewline
0.34 & 22.0786416726487 & 0.0209678783931181 \tabularnewline
0.35 & 22.0827302043315 & 0.0212878988528345 \tabularnewline
0.36 & 22.0868423534683 & 0.0216879673019683 \tabularnewline
0.37 & 22.0909905511276 & 0.0220404582199487 \tabularnewline
0.38 & 22.0951793027922 & 0.0223919632236975 \tabularnewline
0.39 & 22.0994089001173 & 0.0227037902028897 \tabularnewline
0.4 & 22.103679130038 & 0.0230110124785976 \tabularnewline
0.41 & 22.1079928033025 & 0.0232834646800358 \tabularnewline
0.42 & 22.112358833167 & 0.0236000353535985 \tabularnewline
0.43 & 22.1167944965697 & 0.024062542253149 \tabularnewline
0.44 & 22.1213264703385 & 0.0246704681878875 \tabularnewline
0.45 & 22.1259902956631 & 0.025528535134839 \tabularnewline
0.46 & 22.130828092941 & 0.0266655315998935 \tabularnewline
0.47 & 22.1358846008409 & 0.0281009807956465 \tabularnewline
0.48 & 22.1412018992067 & 0.029743882178952 \tabularnewline
0.49 & 22.1468134369317 & 0.0315916600467363 \tabularnewline
0.5 & 22.1527381695364 & 0.0334979879579055 \tabularnewline
0.51 & 22.1589756786409 & 0.0353187323392462 \tabularnewline
0.52 & 22.1655030797568 & 0.0369413630702609 \tabularnewline
0.53 & 22.1722743305705 & 0.0382255752638105 \tabularnewline
0.54 & 22.17922225297 & 0.0390219297294983 \tabularnewline
0.55 & 22.1862632167496 & 0.0392872189487934 \tabularnewline
0.56 & 22.1933040492002 & 0.0389760756685647 \tabularnewline
0.57 & 22.200250385695 & 0.0380872382088531 \tabularnewline
0.58 & 22.2070154150708 & 0.0367146333583169 \tabularnewline
0.59 & 22.2135278472703 & 0.0349523456840561 \tabularnewline
0.6 & 22.2197379729897 & 0.0329322104414526 \tabularnewline
0.61 & 22.2256209078433 & 0.0308339145477072 \tabularnewline
0.62 & 22.2311765001589 & 0.0288027597630557 \tabularnewline
0.63 & 22.2364258841913 & 0.0269454860454989 \tabularnewline
0.64 & 22.241405204077 & 0.0253919412553669 \tabularnewline
0.65 & 22.2461575262966 & 0.0241475371838912 \tabularnewline
0.66 & 22.2507243071383 & 0.0231594121883106 \tabularnewline
0.67 & 22.2551379118714 & 0.0223741564256793 \tabularnewline
0.68 & 22.2594165539679 & 0.0216850105436575 \tabularnewline
0.69 & 22.2635626421638 & 0.0209467758058379 \tabularnewline
0.7 & 22.2675649472558 & 0.0201121454528626 \tabularnewline
0.71 & 22.2714043309638 & 0.0191049400539226 \tabularnewline
0.72 & 22.2750621466761 & 0.017953535920464 \tabularnewline
0.73 & 22.2785299599374 & 0.0167084441912403 \tabularnewline
0.74 & 22.281819047025 & 0.0154989914881787 \tabularnewline
0.75 & 22.2849682461153 & 0.0144548980390616 \tabularnewline
0.76 & 22.2880490944478 & 0.0137719235198117 \tabularnewline
0.77 & 22.2911676265921 & 0.0136530563779529 \tabularnewline
0.78 & 22.2944625206837 & 0.0142332058701768 \tabularnewline
0.79 & 22.2980992920799 & 0.015608658296677 \tabularnewline
0.8 & 22.3022599501905 & 0.0178063386335476 \tabularnewline
0.81 & 22.3071272313581 & 0.020732775556439 \tabularnewline
0.82 & 22.3128627348927 & 0.0242621171002162 \tabularnewline
0.83 & 22.3195796024771 & 0.0280987546281715 \tabularnewline
0.84 & 22.3273130079449 & 0.0318643409797089 \tabularnewline
0.85 & 22.3359950560421 & 0.0350795794439992 \tabularnewline
0.86 & 22.3454431098486 & 0.0372385270152923 \tabularnewline
0.87 & 22.355369905383 & 0.037932188807624 \tabularnewline
0.88 & 22.3654185593561 & 0.0369839039504754 \tabularnewline
0.89 & 22.3752164788695 & 0.0344890406647445 \tabularnewline
0.9 & 22.3844331655753 & 0.030804179082291 \tabularnewline
0.91 & 22.3928239637798 & 0.0264727403246575 \tabularnewline
0.92 & 22.4002491090567 & 0.0220102195845427 \tabularnewline
0.93 & 22.4066719997921 & 0.0177864213057026 \tabularnewline
0.94 & 22.4121499151498 & 0.0139977698113054 \tabularnewline
0.95 & 22.4168196879753 & 0.0108054003409708 \tabularnewline
0.96 & 22.4208529892785 & 0.008420618718906 \tabularnewline
0.97 & 22.4243501871907 & 0.00677858232225573 \tabularnewline
0.98 & 22.4272125413346 & 0.0050558121377766 \tabularnewline
0.99 & 22.429154703938 & 0.0024934185476748 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271886&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]21.5424490788126[/C][C]0.00769440645919207[/C][/ROW]
[ROW][C]0.02[/C][C]21.5496177013815[/C][C]0.0217172190459675[/C][/ROW]
[ROW][C]0.03[/C][C]21.5628313913073[/C][C]0.0381697255731949[/C][/ROW]
[ROW][C]0.04[/C][C]21.5819803111057[/C][C]0.0535705317758191[/C][/ROW]
[ROW][C]0.05[/C][C]21.60605313015[/C][C]0.066936239416308[/C][/ROW]
[ROW][C]0.06[/C][C]21.6339159444159[/C][C]0.0794730696399221[/C][/ROW]
[ROW][C]0.07[/C][C]21.6647510964567[/C][C]0.0924272906711589[/C][/ROW]
[ROW][C]0.08[/C][C]21.6980063001958[/C][C]0.105263531679946[/C][/ROW]
[ROW][C]0.09[/C][C]21.7330740208463[/C][C]0.115745356100232[/C][/ROW]
[ROW][C]0.1[/C][C]21.7690238531535[/C][C]0.121353623922904[/C][/ROW]
[ROW][C]0.11[/C][C]21.8045818688115[/C][C]0.12067879671728[/C][/ROW]
[ROW][C]0.12[/C][C]21.838349318124[/C][C]0.113822259197166[/C][/ROW]
[ROW][C]0.13[/C][C]21.869119057346[/C][C]0.102369535848627[/C][/ROW]
[ROW][C]0.14[/C][C]21.8961301932744[/C][C]0.0886605318205914[/C][/ROW]
[ROW][C]0.15[/C][C]21.9191673700849[/C][C]0.0750504932765234[/C][/ROW]
[ROW][C]0.16[/C][C]21.9384988723971[/C][C]0.0633854046266329[/C][/ROW]
[ROW][C]0.17[/C][C]21.9547096701987[/C][C]0.0546133499220309[/C][/ROW]
[ROW][C]0.18[/C][C]21.9685051386456[/C][C]0.0488151726343343[/C][/ROW]
[ROW][C]0.19[/C][C]21.9805468657178[/C][C]0.0452823128981089[/C][/ROW]
[ROW][C]0.2[/C][C]21.9913522701314[/C][C]0.0430874547883757[/C][/ROW]
[ROW][C]0.21[/C][C]22.0012611170599[/C][C]0.0413583461749722[/C][/ROW]
[ROW][C]0.22[/C][C]22.0104533032803[/C][C]0.0395130713881578[/C][/ROW]
[ROW][C]0.23[/C][C]22.0189950842393[/C][C]0.037295235311655[/C][/ROW]
[ROW][C]0.24[/C][C]22.0268924968026[/C][C]0.0347100673912436[/C][/ROW]
[ROW][C]0.25[/C][C]22.0341370147274[/C][C]0.0318951728321736[/C][/ROW]
[ROW][C]0.26[/C][C]22.0407359207746[/C][C]0.029091024968796[/C][/ROW]
[ROW][C]0.27[/C][C]22.0467262102335[/C][C]0.0265514196876776[/C][/ROW]
[ROW][C]0.28[/C][C]22.0521750177247[/C][C]0.0243997720784156[/C][/ROW]
[ROW][C]0.29[/C][C]22.0571714661603[/C][C]0.0227550660314421[/C][/ROW]
[ROW][C]0.3[/C][C]22.0618149113287[/C][C]0.0216531050097914[/C][/ROW]
[ROW][C]0.31[/C][C]22.0662034765639[/C][C]0.0210104260006071[/C][/ROW]
[ROW][C]0.32[/C][C]22.0704252256262[/C][C]0.0207290852988076[/C][/ROW]
[ROW][C]0.33[/C][C]22.0745528498886[/C][C]0.0207646347366102[/C][/ROW]
[ROW][C]0.34[/C][C]22.0786416726487[/C][C]0.0209678783931181[/C][/ROW]
[ROW][C]0.35[/C][C]22.0827302043315[/C][C]0.0212878988528345[/C][/ROW]
[ROW][C]0.36[/C][C]22.0868423534683[/C][C]0.0216879673019683[/C][/ROW]
[ROW][C]0.37[/C][C]22.0909905511276[/C][C]0.0220404582199487[/C][/ROW]
[ROW][C]0.38[/C][C]22.0951793027922[/C][C]0.0223919632236975[/C][/ROW]
[ROW][C]0.39[/C][C]22.0994089001173[/C][C]0.0227037902028897[/C][/ROW]
[ROW][C]0.4[/C][C]22.103679130038[/C][C]0.0230110124785976[/C][/ROW]
[ROW][C]0.41[/C][C]22.1079928033025[/C][C]0.0232834646800358[/C][/ROW]
[ROW][C]0.42[/C][C]22.112358833167[/C][C]0.0236000353535985[/C][/ROW]
[ROW][C]0.43[/C][C]22.1167944965697[/C][C]0.024062542253149[/C][/ROW]
[ROW][C]0.44[/C][C]22.1213264703385[/C][C]0.0246704681878875[/C][/ROW]
[ROW][C]0.45[/C][C]22.1259902956631[/C][C]0.025528535134839[/C][/ROW]
[ROW][C]0.46[/C][C]22.130828092941[/C][C]0.0266655315998935[/C][/ROW]
[ROW][C]0.47[/C][C]22.1358846008409[/C][C]0.0281009807956465[/C][/ROW]
[ROW][C]0.48[/C][C]22.1412018992067[/C][C]0.029743882178952[/C][/ROW]
[ROW][C]0.49[/C][C]22.1468134369317[/C][C]0.0315916600467363[/C][/ROW]
[ROW][C]0.5[/C][C]22.1527381695364[/C][C]0.0334979879579055[/C][/ROW]
[ROW][C]0.51[/C][C]22.1589756786409[/C][C]0.0353187323392462[/C][/ROW]
[ROW][C]0.52[/C][C]22.1655030797568[/C][C]0.0369413630702609[/C][/ROW]
[ROW][C]0.53[/C][C]22.1722743305705[/C][C]0.0382255752638105[/C][/ROW]
[ROW][C]0.54[/C][C]22.17922225297[/C][C]0.0390219297294983[/C][/ROW]
[ROW][C]0.55[/C][C]22.1862632167496[/C][C]0.0392872189487934[/C][/ROW]
[ROW][C]0.56[/C][C]22.1933040492002[/C][C]0.0389760756685647[/C][/ROW]
[ROW][C]0.57[/C][C]22.200250385695[/C][C]0.0380872382088531[/C][/ROW]
[ROW][C]0.58[/C][C]22.2070154150708[/C][C]0.0367146333583169[/C][/ROW]
[ROW][C]0.59[/C][C]22.2135278472703[/C][C]0.0349523456840561[/C][/ROW]
[ROW][C]0.6[/C][C]22.2197379729897[/C][C]0.0329322104414526[/C][/ROW]
[ROW][C]0.61[/C][C]22.2256209078433[/C][C]0.0308339145477072[/C][/ROW]
[ROW][C]0.62[/C][C]22.2311765001589[/C][C]0.0288027597630557[/C][/ROW]
[ROW][C]0.63[/C][C]22.2364258841913[/C][C]0.0269454860454989[/C][/ROW]
[ROW][C]0.64[/C][C]22.241405204077[/C][C]0.0253919412553669[/C][/ROW]
[ROW][C]0.65[/C][C]22.2461575262966[/C][C]0.0241475371838912[/C][/ROW]
[ROW][C]0.66[/C][C]22.2507243071383[/C][C]0.0231594121883106[/C][/ROW]
[ROW][C]0.67[/C][C]22.2551379118714[/C][C]0.0223741564256793[/C][/ROW]
[ROW][C]0.68[/C][C]22.2594165539679[/C][C]0.0216850105436575[/C][/ROW]
[ROW][C]0.69[/C][C]22.2635626421638[/C][C]0.0209467758058379[/C][/ROW]
[ROW][C]0.7[/C][C]22.2675649472558[/C][C]0.0201121454528626[/C][/ROW]
[ROW][C]0.71[/C][C]22.2714043309638[/C][C]0.0191049400539226[/C][/ROW]
[ROW][C]0.72[/C][C]22.2750621466761[/C][C]0.017953535920464[/C][/ROW]
[ROW][C]0.73[/C][C]22.2785299599374[/C][C]0.0167084441912403[/C][/ROW]
[ROW][C]0.74[/C][C]22.281819047025[/C][C]0.0154989914881787[/C][/ROW]
[ROW][C]0.75[/C][C]22.2849682461153[/C][C]0.0144548980390616[/C][/ROW]
[ROW][C]0.76[/C][C]22.2880490944478[/C][C]0.0137719235198117[/C][/ROW]
[ROW][C]0.77[/C][C]22.2911676265921[/C][C]0.0136530563779529[/C][/ROW]
[ROW][C]0.78[/C][C]22.2944625206837[/C][C]0.0142332058701768[/C][/ROW]
[ROW][C]0.79[/C][C]22.2980992920799[/C][C]0.015608658296677[/C][/ROW]
[ROW][C]0.8[/C][C]22.3022599501905[/C][C]0.0178063386335476[/C][/ROW]
[ROW][C]0.81[/C][C]22.3071272313581[/C][C]0.020732775556439[/C][/ROW]
[ROW][C]0.82[/C][C]22.3128627348927[/C][C]0.0242621171002162[/C][/ROW]
[ROW][C]0.83[/C][C]22.3195796024771[/C][C]0.0280987546281715[/C][/ROW]
[ROW][C]0.84[/C][C]22.3273130079449[/C][C]0.0318643409797089[/C][/ROW]
[ROW][C]0.85[/C][C]22.3359950560421[/C][C]0.0350795794439992[/C][/ROW]
[ROW][C]0.86[/C][C]22.3454431098486[/C][C]0.0372385270152923[/C][/ROW]
[ROW][C]0.87[/C][C]22.355369905383[/C][C]0.037932188807624[/C][/ROW]
[ROW][C]0.88[/C][C]22.3654185593561[/C][C]0.0369839039504754[/C][/ROW]
[ROW][C]0.89[/C][C]22.3752164788695[/C][C]0.0344890406647445[/C][/ROW]
[ROW][C]0.9[/C][C]22.3844331655753[/C][C]0.030804179082291[/C][/ROW]
[ROW][C]0.91[/C][C]22.3928239637798[/C][C]0.0264727403246575[/C][/ROW]
[ROW][C]0.92[/C][C]22.4002491090567[/C][C]0.0220102195845427[/C][/ROW]
[ROW][C]0.93[/C][C]22.4066719997921[/C][C]0.0177864213057026[/C][/ROW]
[ROW][C]0.94[/C][C]22.4121499151498[/C][C]0.0139977698113054[/C][/ROW]
[ROW][C]0.95[/C][C]22.4168196879753[/C][C]0.0108054003409708[/C][/ROW]
[ROW][C]0.96[/C][C]22.4208529892785[/C][C]0.008420618718906[/C][/ROW]
[ROW][C]0.97[/C][C]22.4243501871907[/C][C]0.00677858232225573[/C][/ROW]
[ROW][C]0.98[/C][C]22.4272125413346[/C][C]0.0050558121377766[/C][/ROW]
[ROW][C]0.99[/C][C]22.429154703938[/C][C]0.0024934185476748[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271886&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271886&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
0.0121.54244907881260.00769440645919207
0.0221.54961770138150.0217172190459675
0.0321.56283139130730.0381697255731949
0.0421.58198031110570.0535705317758191
0.0521.606053130150.066936239416308
0.0621.63391594441590.0794730696399221
0.0721.66475109645670.0924272906711589
0.0821.69800630019580.105263531679946
0.0921.73307402084630.115745356100232
0.121.76902385315350.121353623922904
0.1121.80458186881150.12067879671728
0.1221.8383493181240.113822259197166
0.1321.8691190573460.102369535848627
0.1421.89613019327440.0886605318205914
0.1521.91916737008490.0750504932765234
0.1621.93849887239710.0633854046266329
0.1721.95470967019870.0546133499220309
0.1821.96850513864560.0488151726343343
0.1921.98054686571780.0452823128981089
0.221.99135227013140.0430874547883757
0.2122.00126111705990.0413583461749722
0.2222.01045330328030.0395130713881578
0.2322.01899508423930.037295235311655
0.2422.02689249680260.0347100673912436
0.2522.03413701472740.0318951728321736
0.2622.04073592077460.029091024968796
0.2722.04672621023350.0265514196876776
0.2822.05217501772470.0243997720784156
0.2922.05717146616030.0227550660314421
0.322.06181491132870.0216531050097914
0.3122.06620347656390.0210104260006071
0.3222.07042522562620.0207290852988076
0.3322.07455284988860.0207646347366102
0.3422.07864167264870.0209678783931181
0.3522.08273020433150.0212878988528345
0.3622.08684235346830.0216879673019683
0.3722.09099055112760.0220404582199487
0.3822.09517930279220.0223919632236975
0.3922.09940890011730.0227037902028897
0.422.1036791300380.0230110124785976
0.4122.10799280330250.0232834646800358
0.4222.1123588331670.0236000353535985
0.4322.11679449656970.024062542253149
0.4422.12132647033850.0246704681878875
0.4522.12599029566310.025528535134839
0.4622.1308280929410.0266655315998935
0.4722.13588460084090.0281009807956465
0.4822.14120189920670.029743882178952
0.4922.14681343693170.0315916600467363
0.522.15273816953640.0334979879579055
0.5122.15897567864090.0353187323392462
0.5222.16550307975680.0369413630702609
0.5322.17227433057050.0382255752638105
0.5422.179222252970.0390219297294983
0.5522.18626321674960.0392872189487934
0.5622.19330404920020.0389760756685647
0.5722.2002503856950.0380872382088531
0.5822.20701541507080.0367146333583169
0.5922.21352784727030.0349523456840561
0.622.21973797298970.0329322104414526
0.6122.22562090784330.0308339145477072
0.6222.23117650015890.0288027597630557
0.6322.23642588419130.0269454860454989
0.6422.2414052040770.0253919412553669
0.6522.24615752629660.0241475371838912
0.6622.25072430713830.0231594121883106
0.6722.25513791187140.0223741564256793
0.6822.25941655396790.0216850105436575
0.6922.26356264216380.0209467758058379
0.722.26756494725580.0201121454528626
0.7122.27140433096380.0191049400539226
0.7222.27506214667610.017953535920464
0.7322.27852995993740.0167084441912403
0.7422.2818190470250.0154989914881787
0.7522.28496824611530.0144548980390616
0.7622.28804909444780.0137719235198117
0.7722.29116762659210.0136530563779529
0.7822.29446252068370.0142332058701768
0.7922.29809929207990.015608658296677
0.822.30225995019050.0178063386335476
0.8122.30712723135810.020732775556439
0.8222.31286273489270.0242621171002162
0.8322.31957960247710.0280987546281715
0.8422.32731300794490.0318643409797089
0.8522.33599505604210.0350795794439992
0.8622.34544310984860.0372385270152923
0.8722.3553699053830.037932188807624
0.8822.36541855935610.0369839039504754
0.8922.37521647886950.0344890406647445
0.922.38443316557530.030804179082291
0.9122.39282396377980.0264727403246575
0.9222.40024910905670.0220102195845427
0.9322.40667199979210.0177864213057026
0.9422.41214991514980.0139977698113054
0.9522.41681968797530.0108054003409708
0.9622.42085298927850.008420618718906
0.9722.42435018719070.00677858232225573
0.9822.42721254133460.0050558121377766
0.9922.4291547039380.0024934185476748


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
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')