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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 computationFri, 14 Dec 2007 07:10:30 -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/2007/Dec/14/t1197640488zohyc60tw8e4cqd.htm/, Retrieved Thu, 02 May 2024 21:47:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3894, Retrieved Thu, 02 May 2024 21:47:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184

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] [] [2007-12-14 14:10:30] [a1fadf46580e43815db2830b4560d35f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,96
1
1,05
1,03
1,07
1,12
1,1
1,06
1,11
1,08
1,07
1,02
1
1,04
1,02
1,07
1,12
1,08
1,02
1,01
1,04
0,98
0,95
0,94
0,94
0,96
0,97
1,03
1,01
0,99
1
1
1,02
1,01
0,99
0,98
1,01
1,03
1,03
1
0,96
0,97
0,98
1,02
1,04
1,01
1,01
1
1,01
1,02
1,03
1,06
1,12
1,12
1,13
1,13
1,13
1,17
1,14
1,08
1,07
1,12
1,14
1,21
1,2
1,23
1,29
1,31
1,37
1,35
1,26
1,26

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3894&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3894&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3894&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9410520032009570.00311162706082474
0.020.9435273994883270.00655245414401687
0.030.947122726899510.00844686458521942
0.040.951164170748850.00871309160267249
0.050.9550890426957930.00822775785876066
0.060.9586537642183610.00784833423130942
0.070.9618764963273250.00793672047959527
0.080.9648857524418240.00838228870961496
0.090.9678027625832230.00892585154256457
0.10.9706938479390880.0093875934894486
0.110.9735735724359940.00970552245336387
0.120.976427016435230.0098901766785986
0.130.9792296195476920.00996957514875375
0.140.981957165573660.0099560289776256
0.150.984587760801660.00983882406362279
0.160.987100712681840.0095976940590514
0.170.9894761629743350.00922243207104279
0.180.9916968354704440.00872774798422258
0.190.9937511720875990.00815297013666668
0.20.9956362196257550.00755516532897585
0.210.9973588407567410.00699446428941915
0.220.9989346815241140.00651825748703442
0.231.000385278115440.00615223816122956
0.241.001734316816020.00589359823968648
0.251.003004202037180.00571930100966307
0.261.004213793846150.00559916614521631
0.271.005377646962020.00550950393848688
0.281.006506552074640.00543805327916881
0.291.007608828322720.00538328275114028
0.31.008691721590350.00535497419031568
0.311.009762401236290.00536480175398983
0.321.010828320404080.00541781014360194
0.331.011896991532040.00551446475985175
0.341.012975430685630.00564729067163022
0.351.014069593590360.00580008827672641
0.361.015184069687770.00596503881647604
0.371.016322165785850.0061327847130985
0.381.017486361040160.00630306663032441
0.391.018679003552740.00647854750041158
0.41.019903073168710.00667057869883188
0.411.021162852525730.00688939731238976
0.421.022464404324340.0071468579678308
0.431.023815814536790.0074544324424171
0.441.025227202859160.00782336618090265
0.451.026710512984180.00826279609843712
0.461.028279083361640.00877911755888817
0.471.029946982769160.00937704697040415
0.481.031728095019070.0100546955908304
0.491.033634966891310.0107990534580971
0.51.035677493128840.0115945238588149
0.511.037861588461840.0124099336362742
0.521.040188065885720.0132110026493079
0.531.042651977017590.0139584114838556
0.541.045242653651430.0146170773880334
0.551.047944610268720.01515734193021
0.561.050739330489710.0155642835875206
0.571.053607786187740.0158399867790835
0.581.056533357851980.0160034767635433
0.591.059504676753170.0160950965192833
0.61.062517831010300.0161693037767732
0.611.065577398286340.0162861967104286
0.621.068695902100620.0164991995530730
0.631.071891530716570.0168425700511895
0.641.075184277996330.0173248550225868
0.651.078591012848540.0179132987782931
0.661.082120289622640.0185432731916371
0.671.085767902314370.0191254302342431
0.681.089514197905760.0195594325414612
0.691.093323965515340.0197536010706339
0.71.097149321785430.019639370164136
0.711.100935487042440.0191867869602069
0.721.104628805989690.0184141595730688
0.731.10818594596030.0173889420872134
0.741.111583017956740.0162245406012273
0.751.114823455850540.0150712166703513
0.761.117943803842980.0141046619971906
0.771.121016954431280.0135143666973216
0.781.124152658492560.0134837218042366
0.791.127495151857740.0141642483285775
0.81.131217507920710.0156533782783635
0.811.135512028243500.0179674795520986
0.821.140575972275480.0210426777704135
0.831.146592553290180.0247226227639323
0.841.153708518936480.0287608979101552
0.851.162011523197410.0328290250301709
0.861.171512228150170.0365521106290518
0.871.182136866006850.0395664256977312
0.881.193735316667370.0415850979687387
0.891.206107572986050.0424592067904004
0.91.219048078421210.0422209528111604
0.911.232403048479140.0411006721821092
0.921.246130326127120.0395129132687564
0.931.260343970303610.0379876088711317
0.941.275316148303400.0370086549790293
0.951.291398320944560.0367492402361221
0.961.308818022363920.0367271517109992
0.971.327316514691060.0355160748189965
0.981.345637470724710.0312882055818656
0.991.361079316519660.0244470969881247

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.941052003200957 & 0.00311162706082474 \tabularnewline
0.02 & 0.943527399488327 & 0.00655245414401687 \tabularnewline
0.03 & 0.94712272689951 & 0.00844686458521942 \tabularnewline
0.04 & 0.95116417074885 & 0.00871309160267249 \tabularnewline
0.05 & 0.955089042695793 & 0.00822775785876066 \tabularnewline
0.06 & 0.958653764218361 & 0.00784833423130942 \tabularnewline
0.07 & 0.961876496327325 & 0.00793672047959527 \tabularnewline
0.08 & 0.964885752441824 & 0.00838228870961496 \tabularnewline
0.09 & 0.967802762583223 & 0.00892585154256457 \tabularnewline
0.1 & 0.970693847939088 & 0.0093875934894486 \tabularnewline
0.11 & 0.973573572435994 & 0.00970552245336387 \tabularnewline
0.12 & 0.97642701643523 & 0.0098901766785986 \tabularnewline
0.13 & 0.979229619547692 & 0.00996957514875375 \tabularnewline
0.14 & 0.98195716557366 & 0.0099560289776256 \tabularnewline
0.15 & 0.98458776080166 & 0.00983882406362279 \tabularnewline
0.16 & 0.98710071268184 & 0.0095976940590514 \tabularnewline
0.17 & 0.989476162974335 & 0.00922243207104279 \tabularnewline
0.18 & 0.991696835470444 & 0.00872774798422258 \tabularnewline
0.19 & 0.993751172087599 & 0.00815297013666668 \tabularnewline
0.2 & 0.995636219625755 & 0.00755516532897585 \tabularnewline
0.21 & 0.997358840756741 & 0.00699446428941915 \tabularnewline
0.22 & 0.998934681524114 & 0.00651825748703442 \tabularnewline
0.23 & 1.00038527811544 & 0.00615223816122956 \tabularnewline
0.24 & 1.00173431681602 & 0.00589359823968648 \tabularnewline
0.25 & 1.00300420203718 & 0.00571930100966307 \tabularnewline
0.26 & 1.00421379384615 & 0.00559916614521631 \tabularnewline
0.27 & 1.00537764696202 & 0.00550950393848688 \tabularnewline
0.28 & 1.00650655207464 & 0.00543805327916881 \tabularnewline
0.29 & 1.00760882832272 & 0.00538328275114028 \tabularnewline
0.3 & 1.00869172159035 & 0.00535497419031568 \tabularnewline
0.31 & 1.00976240123629 & 0.00536480175398983 \tabularnewline
0.32 & 1.01082832040408 & 0.00541781014360194 \tabularnewline
0.33 & 1.01189699153204 & 0.00551446475985175 \tabularnewline
0.34 & 1.01297543068563 & 0.00564729067163022 \tabularnewline
0.35 & 1.01406959359036 & 0.00580008827672641 \tabularnewline
0.36 & 1.01518406968777 & 0.00596503881647604 \tabularnewline
0.37 & 1.01632216578585 & 0.0061327847130985 \tabularnewline
0.38 & 1.01748636104016 & 0.00630306663032441 \tabularnewline
0.39 & 1.01867900355274 & 0.00647854750041158 \tabularnewline
0.4 & 1.01990307316871 & 0.00667057869883188 \tabularnewline
0.41 & 1.02116285252573 & 0.00688939731238976 \tabularnewline
0.42 & 1.02246440432434 & 0.0071468579678308 \tabularnewline
0.43 & 1.02381581453679 & 0.0074544324424171 \tabularnewline
0.44 & 1.02522720285916 & 0.00782336618090265 \tabularnewline
0.45 & 1.02671051298418 & 0.00826279609843712 \tabularnewline
0.46 & 1.02827908336164 & 0.00877911755888817 \tabularnewline
0.47 & 1.02994698276916 & 0.00937704697040415 \tabularnewline
0.48 & 1.03172809501907 & 0.0100546955908304 \tabularnewline
0.49 & 1.03363496689131 & 0.0107990534580971 \tabularnewline
0.5 & 1.03567749312884 & 0.0115945238588149 \tabularnewline
0.51 & 1.03786158846184 & 0.0124099336362742 \tabularnewline
0.52 & 1.04018806588572 & 0.0132110026493079 \tabularnewline
0.53 & 1.04265197701759 & 0.0139584114838556 \tabularnewline
0.54 & 1.04524265365143 & 0.0146170773880334 \tabularnewline
0.55 & 1.04794461026872 & 0.01515734193021 \tabularnewline
0.56 & 1.05073933048971 & 0.0155642835875206 \tabularnewline
0.57 & 1.05360778618774 & 0.0158399867790835 \tabularnewline
0.58 & 1.05653335785198 & 0.0160034767635433 \tabularnewline
0.59 & 1.05950467675317 & 0.0160950965192833 \tabularnewline
0.6 & 1.06251783101030 & 0.0161693037767732 \tabularnewline
0.61 & 1.06557739828634 & 0.0162861967104286 \tabularnewline
0.62 & 1.06869590210062 & 0.0164991995530730 \tabularnewline
0.63 & 1.07189153071657 & 0.0168425700511895 \tabularnewline
0.64 & 1.07518427799633 & 0.0173248550225868 \tabularnewline
0.65 & 1.07859101284854 & 0.0179132987782931 \tabularnewline
0.66 & 1.08212028962264 & 0.0185432731916371 \tabularnewline
0.67 & 1.08576790231437 & 0.0191254302342431 \tabularnewline
0.68 & 1.08951419790576 & 0.0195594325414612 \tabularnewline
0.69 & 1.09332396551534 & 0.0197536010706339 \tabularnewline
0.7 & 1.09714932178543 & 0.019639370164136 \tabularnewline
0.71 & 1.10093548704244 & 0.0191867869602069 \tabularnewline
0.72 & 1.10462880598969 & 0.0184141595730688 \tabularnewline
0.73 & 1.1081859459603 & 0.0173889420872134 \tabularnewline
0.74 & 1.11158301795674 & 0.0162245406012273 \tabularnewline
0.75 & 1.11482345585054 & 0.0150712166703513 \tabularnewline
0.76 & 1.11794380384298 & 0.0141046619971906 \tabularnewline
0.77 & 1.12101695443128 & 0.0135143666973216 \tabularnewline
0.78 & 1.12415265849256 & 0.0134837218042366 \tabularnewline
0.79 & 1.12749515185774 & 0.0141642483285775 \tabularnewline
0.8 & 1.13121750792071 & 0.0156533782783635 \tabularnewline
0.81 & 1.13551202824350 & 0.0179674795520986 \tabularnewline
0.82 & 1.14057597227548 & 0.0210426777704135 \tabularnewline
0.83 & 1.14659255329018 & 0.0247226227639323 \tabularnewline
0.84 & 1.15370851893648 & 0.0287608979101552 \tabularnewline
0.85 & 1.16201152319741 & 0.0328290250301709 \tabularnewline
0.86 & 1.17151222815017 & 0.0365521106290518 \tabularnewline
0.87 & 1.18213686600685 & 0.0395664256977312 \tabularnewline
0.88 & 1.19373531666737 & 0.0415850979687387 \tabularnewline
0.89 & 1.20610757298605 & 0.0424592067904004 \tabularnewline
0.9 & 1.21904807842121 & 0.0422209528111604 \tabularnewline
0.91 & 1.23240304847914 & 0.0411006721821092 \tabularnewline
0.92 & 1.24613032612712 & 0.0395129132687564 \tabularnewline
0.93 & 1.26034397030361 & 0.0379876088711317 \tabularnewline
0.94 & 1.27531614830340 & 0.0370086549790293 \tabularnewline
0.95 & 1.29139832094456 & 0.0367492402361221 \tabularnewline
0.96 & 1.30881802236392 & 0.0367271517109992 \tabularnewline
0.97 & 1.32731651469106 & 0.0355160748189965 \tabularnewline
0.98 & 1.34563747072471 & 0.0312882055818656 \tabularnewline
0.99 & 1.36107931651966 & 0.0244470969881247 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3894&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]0.941052003200957[/C][C]0.00311162706082474[/C][/ROW]
[ROW][C]0.02[/C][C]0.943527399488327[/C][C]0.00655245414401687[/C][/ROW]
[ROW][C]0.03[/C][C]0.94712272689951[/C][C]0.00844686458521942[/C][/ROW]
[ROW][C]0.04[/C][C]0.95116417074885[/C][C]0.00871309160267249[/C][/ROW]
[ROW][C]0.05[/C][C]0.955089042695793[/C][C]0.00822775785876066[/C][/ROW]
[ROW][C]0.06[/C][C]0.958653764218361[/C][C]0.00784833423130942[/C][/ROW]
[ROW][C]0.07[/C][C]0.961876496327325[/C][C]0.00793672047959527[/C][/ROW]
[ROW][C]0.08[/C][C]0.964885752441824[/C][C]0.00838228870961496[/C][/ROW]
[ROW][C]0.09[/C][C]0.967802762583223[/C][C]0.00892585154256457[/C][/ROW]
[ROW][C]0.1[/C][C]0.970693847939088[/C][C]0.0093875934894486[/C][/ROW]
[ROW][C]0.11[/C][C]0.973573572435994[/C][C]0.00970552245336387[/C][/ROW]
[ROW][C]0.12[/C][C]0.97642701643523[/C][C]0.0098901766785986[/C][/ROW]
[ROW][C]0.13[/C][C]0.979229619547692[/C][C]0.00996957514875375[/C][/ROW]
[ROW][C]0.14[/C][C]0.98195716557366[/C][C]0.0099560289776256[/C][/ROW]
[ROW][C]0.15[/C][C]0.98458776080166[/C][C]0.00983882406362279[/C][/ROW]
[ROW][C]0.16[/C][C]0.98710071268184[/C][C]0.0095976940590514[/C][/ROW]
[ROW][C]0.17[/C][C]0.989476162974335[/C][C]0.00922243207104279[/C][/ROW]
[ROW][C]0.18[/C][C]0.991696835470444[/C][C]0.00872774798422258[/C][/ROW]
[ROW][C]0.19[/C][C]0.993751172087599[/C][C]0.00815297013666668[/C][/ROW]
[ROW][C]0.2[/C][C]0.995636219625755[/C][C]0.00755516532897585[/C][/ROW]
[ROW][C]0.21[/C][C]0.997358840756741[/C][C]0.00699446428941915[/C][/ROW]
[ROW][C]0.22[/C][C]0.998934681524114[/C][C]0.00651825748703442[/C][/ROW]
[ROW][C]0.23[/C][C]1.00038527811544[/C][C]0.00615223816122956[/C][/ROW]
[ROW][C]0.24[/C][C]1.00173431681602[/C][C]0.00589359823968648[/C][/ROW]
[ROW][C]0.25[/C][C]1.00300420203718[/C][C]0.00571930100966307[/C][/ROW]
[ROW][C]0.26[/C][C]1.00421379384615[/C][C]0.00559916614521631[/C][/ROW]
[ROW][C]0.27[/C][C]1.00537764696202[/C][C]0.00550950393848688[/C][/ROW]
[ROW][C]0.28[/C][C]1.00650655207464[/C][C]0.00543805327916881[/C][/ROW]
[ROW][C]0.29[/C][C]1.00760882832272[/C][C]0.00538328275114028[/C][/ROW]
[ROW][C]0.3[/C][C]1.00869172159035[/C][C]0.00535497419031568[/C][/ROW]
[ROW][C]0.31[/C][C]1.00976240123629[/C][C]0.00536480175398983[/C][/ROW]
[ROW][C]0.32[/C][C]1.01082832040408[/C][C]0.00541781014360194[/C][/ROW]
[ROW][C]0.33[/C][C]1.01189699153204[/C][C]0.00551446475985175[/C][/ROW]
[ROW][C]0.34[/C][C]1.01297543068563[/C][C]0.00564729067163022[/C][/ROW]
[ROW][C]0.35[/C][C]1.01406959359036[/C][C]0.00580008827672641[/C][/ROW]
[ROW][C]0.36[/C][C]1.01518406968777[/C][C]0.00596503881647604[/C][/ROW]
[ROW][C]0.37[/C][C]1.01632216578585[/C][C]0.0061327847130985[/C][/ROW]
[ROW][C]0.38[/C][C]1.01748636104016[/C][C]0.00630306663032441[/C][/ROW]
[ROW][C]0.39[/C][C]1.01867900355274[/C][C]0.00647854750041158[/C][/ROW]
[ROW][C]0.4[/C][C]1.01990307316871[/C][C]0.00667057869883188[/C][/ROW]
[ROW][C]0.41[/C][C]1.02116285252573[/C][C]0.00688939731238976[/C][/ROW]
[ROW][C]0.42[/C][C]1.02246440432434[/C][C]0.0071468579678308[/C][/ROW]
[ROW][C]0.43[/C][C]1.02381581453679[/C][C]0.0074544324424171[/C][/ROW]
[ROW][C]0.44[/C][C]1.02522720285916[/C][C]0.00782336618090265[/C][/ROW]
[ROW][C]0.45[/C][C]1.02671051298418[/C][C]0.00826279609843712[/C][/ROW]
[ROW][C]0.46[/C][C]1.02827908336164[/C][C]0.00877911755888817[/C][/ROW]
[ROW][C]0.47[/C][C]1.02994698276916[/C][C]0.00937704697040415[/C][/ROW]
[ROW][C]0.48[/C][C]1.03172809501907[/C][C]0.0100546955908304[/C][/ROW]
[ROW][C]0.49[/C][C]1.03363496689131[/C][C]0.0107990534580971[/C][/ROW]
[ROW][C]0.5[/C][C]1.03567749312884[/C][C]0.0115945238588149[/C][/ROW]
[ROW][C]0.51[/C][C]1.03786158846184[/C][C]0.0124099336362742[/C][/ROW]
[ROW][C]0.52[/C][C]1.04018806588572[/C][C]0.0132110026493079[/C][/ROW]
[ROW][C]0.53[/C][C]1.04265197701759[/C][C]0.0139584114838556[/C][/ROW]
[ROW][C]0.54[/C][C]1.04524265365143[/C][C]0.0146170773880334[/C][/ROW]
[ROW][C]0.55[/C][C]1.04794461026872[/C][C]0.01515734193021[/C][/ROW]
[ROW][C]0.56[/C][C]1.05073933048971[/C][C]0.0155642835875206[/C][/ROW]
[ROW][C]0.57[/C][C]1.05360778618774[/C][C]0.0158399867790835[/C][/ROW]
[ROW][C]0.58[/C][C]1.05653335785198[/C][C]0.0160034767635433[/C][/ROW]
[ROW][C]0.59[/C][C]1.05950467675317[/C][C]0.0160950965192833[/C][/ROW]
[ROW][C]0.6[/C][C]1.06251783101030[/C][C]0.0161693037767732[/C][/ROW]
[ROW][C]0.61[/C][C]1.06557739828634[/C][C]0.0162861967104286[/C][/ROW]
[ROW][C]0.62[/C][C]1.06869590210062[/C][C]0.0164991995530730[/C][/ROW]
[ROW][C]0.63[/C][C]1.07189153071657[/C][C]0.0168425700511895[/C][/ROW]
[ROW][C]0.64[/C][C]1.07518427799633[/C][C]0.0173248550225868[/C][/ROW]
[ROW][C]0.65[/C][C]1.07859101284854[/C][C]0.0179132987782931[/C][/ROW]
[ROW][C]0.66[/C][C]1.08212028962264[/C][C]0.0185432731916371[/C][/ROW]
[ROW][C]0.67[/C][C]1.08576790231437[/C][C]0.0191254302342431[/C][/ROW]
[ROW][C]0.68[/C][C]1.08951419790576[/C][C]0.0195594325414612[/C][/ROW]
[ROW][C]0.69[/C][C]1.09332396551534[/C][C]0.0197536010706339[/C][/ROW]
[ROW][C]0.7[/C][C]1.09714932178543[/C][C]0.019639370164136[/C][/ROW]
[ROW][C]0.71[/C][C]1.10093548704244[/C][C]0.0191867869602069[/C][/ROW]
[ROW][C]0.72[/C][C]1.10462880598969[/C][C]0.0184141595730688[/C][/ROW]
[ROW][C]0.73[/C][C]1.1081859459603[/C][C]0.0173889420872134[/C][/ROW]
[ROW][C]0.74[/C][C]1.11158301795674[/C][C]0.0162245406012273[/C][/ROW]
[ROW][C]0.75[/C][C]1.11482345585054[/C][C]0.0150712166703513[/C][/ROW]
[ROW][C]0.76[/C][C]1.11794380384298[/C][C]0.0141046619971906[/C][/ROW]
[ROW][C]0.77[/C][C]1.12101695443128[/C][C]0.0135143666973216[/C][/ROW]
[ROW][C]0.78[/C][C]1.12415265849256[/C][C]0.0134837218042366[/C][/ROW]
[ROW][C]0.79[/C][C]1.12749515185774[/C][C]0.0141642483285775[/C][/ROW]
[ROW][C]0.8[/C][C]1.13121750792071[/C][C]0.0156533782783635[/C][/ROW]
[ROW][C]0.81[/C][C]1.13551202824350[/C][C]0.0179674795520986[/C][/ROW]
[ROW][C]0.82[/C][C]1.14057597227548[/C][C]0.0210426777704135[/C][/ROW]
[ROW][C]0.83[/C][C]1.14659255329018[/C][C]0.0247226227639323[/C][/ROW]
[ROW][C]0.84[/C][C]1.15370851893648[/C][C]0.0287608979101552[/C][/ROW]
[ROW][C]0.85[/C][C]1.16201152319741[/C][C]0.0328290250301709[/C][/ROW]
[ROW][C]0.86[/C][C]1.17151222815017[/C][C]0.0365521106290518[/C][/ROW]
[ROW][C]0.87[/C][C]1.18213686600685[/C][C]0.0395664256977312[/C][/ROW]
[ROW][C]0.88[/C][C]1.19373531666737[/C][C]0.0415850979687387[/C][/ROW]
[ROW][C]0.89[/C][C]1.20610757298605[/C][C]0.0424592067904004[/C][/ROW]
[ROW][C]0.9[/C][C]1.21904807842121[/C][C]0.0422209528111604[/C][/ROW]
[ROW][C]0.91[/C][C]1.23240304847914[/C][C]0.0411006721821092[/C][/ROW]
[ROW][C]0.92[/C][C]1.24613032612712[/C][C]0.0395129132687564[/C][/ROW]
[ROW][C]0.93[/C][C]1.26034397030361[/C][C]0.0379876088711317[/C][/ROW]
[ROW][C]0.94[/C][C]1.27531614830340[/C][C]0.0370086549790293[/C][/ROW]
[ROW][C]0.95[/C][C]1.29139832094456[/C][C]0.0367492402361221[/C][/ROW]
[ROW][C]0.96[/C][C]1.30881802236392[/C][C]0.0367271517109992[/C][/ROW]
[ROW][C]0.97[/C][C]1.32731651469106[/C][C]0.0355160748189965[/C][/ROW]
[ROW][C]0.98[/C][C]1.34563747072471[/C][C]0.0312882055818656[/C][/ROW]
[ROW][C]0.99[/C][C]1.36107931651966[/C][C]0.0244470969881247[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3894&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3894&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
0.010.9410520032009570.00311162706082474
0.020.9435273994883270.00655245414401687
0.030.947122726899510.00844686458521942
0.040.951164170748850.00871309160267249
0.050.9550890426957930.00822775785876066
0.060.9586537642183610.00784833423130942
0.070.9618764963273250.00793672047959527
0.080.9648857524418240.00838228870961496
0.090.9678027625832230.00892585154256457
0.10.9706938479390880.0093875934894486
0.110.9735735724359940.00970552245336387
0.120.976427016435230.0098901766785986
0.130.9792296195476920.00996957514875375
0.140.981957165573660.0099560289776256
0.150.984587760801660.00983882406362279
0.160.987100712681840.0095976940590514
0.170.9894761629743350.00922243207104279
0.180.9916968354704440.00872774798422258
0.190.9937511720875990.00815297013666668
0.20.9956362196257550.00755516532897585
0.210.9973588407567410.00699446428941915
0.220.9989346815241140.00651825748703442
0.231.000385278115440.00615223816122956
0.241.001734316816020.00589359823968648
0.251.003004202037180.00571930100966307
0.261.004213793846150.00559916614521631
0.271.005377646962020.00550950393848688
0.281.006506552074640.00543805327916881
0.291.007608828322720.00538328275114028
0.31.008691721590350.00535497419031568
0.311.009762401236290.00536480175398983
0.321.010828320404080.00541781014360194
0.331.011896991532040.00551446475985175
0.341.012975430685630.00564729067163022
0.351.014069593590360.00580008827672641
0.361.015184069687770.00596503881647604
0.371.016322165785850.0061327847130985
0.381.017486361040160.00630306663032441
0.391.018679003552740.00647854750041158
0.41.019903073168710.00667057869883188
0.411.021162852525730.00688939731238976
0.421.022464404324340.0071468579678308
0.431.023815814536790.0074544324424171
0.441.025227202859160.00782336618090265
0.451.026710512984180.00826279609843712
0.461.028279083361640.00877911755888817
0.471.029946982769160.00937704697040415
0.481.031728095019070.0100546955908304
0.491.033634966891310.0107990534580971
0.51.035677493128840.0115945238588149
0.511.037861588461840.0124099336362742
0.521.040188065885720.0132110026493079
0.531.042651977017590.0139584114838556
0.541.045242653651430.0146170773880334
0.551.047944610268720.01515734193021
0.561.050739330489710.0155642835875206
0.571.053607786187740.0158399867790835
0.581.056533357851980.0160034767635433
0.591.059504676753170.0160950965192833
0.61.062517831010300.0161693037767732
0.611.065577398286340.0162861967104286
0.621.068695902100620.0164991995530730
0.631.071891530716570.0168425700511895
0.641.075184277996330.0173248550225868
0.651.078591012848540.0179132987782931
0.661.082120289622640.0185432731916371
0.671.085767902314370.0191254302342431
0.681.089514197905760.0195594325414612
0.691.093323965515340.0197536010706339
0.71.097149321785430.019639370164136
0.711.100935487042440.0191867869602069
0.721.104628805989690.0184141595730688
0.731.10818594596030.0173889420872134
0.741.111583017956740.0162245406012273
0.751.114823455850540.0150712166703513
0.761.117943803842980.0141046619971906
0.771.121016954431280.0135143666973216
0.781.124152658492560.0134837218042366
0.791.127495151857740.0141642483285775
0.81.131217507920710.0156533782783635
0.811.135512028243500.0179674795520986
0.821.140575972275480.0210426777704135
0.831.146592553290180.0247226227639323
0.841.153708518936480.0287608979101552
0.851.162011523197410.0328290250301709
0.861.171512228150170.0365521106290518
0.871.182136866006850.0395664256977312
0.881.193735316667370.0415850979687387
0.891.206107572986050.0424592067904004
0.91.219048078421210.0422209528111604
0.911.232403048479140.0411006721821092
0.921.246130326127120.0395129132687564
0.931.260343970303610.0379876088711317
0.941.275316148303400.0370086549790293
0.951.291398320944560.0367492402361221
0.961.308818022363920.0367271517109992
0.971.327316514691060.0355160748189965
0.981.345637470724710.0312882055818656
0.991.361079316519660.0244470969881247


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')