Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 19 Dec 2011 09:40:06 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/19/t1324305659hvdklr6im5g2gqt.htm/, Retrieved Mon, 20 May 2024 08:14:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157409, Retrieved Mon, 20 May 2024 08:14:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [HD quantiles - test4] [2011-12-19 14:40:06] [2adf2d2c11e011c12275478b9efd18e5] [Current]
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Dataseries X:
2.87550242562274e-05
0.00155584252265055
0.00051084899547365
-0.00221322346788899
-0.00301638452220537
-0.00279467898531214
0.000863543706410622
-0.00275492095243501
0.00601496766238096
-0.00254507881271959
0.0002636738526231
-0.00175221251108731
-0.000489206933664634
-0.00182941515474625
-0.00144707307408091
-0.00336978360706447
2.2916761839861e-05
0.000201343409562587
-0.00148130741038659
-0.00123429780068959
0.0058106916013125
-0.00036735417945173
-0.00231420048212976
-0.0020770069806127
-0.000650911283696455
-0.00765543853471955
0.00118823572978931
0.00192412372081625
-0.00211082595912956
-0.00128381940835733
-0.00147715975812426
-0.000728384433789636
0.0029182596271064
-0.00339750290442145
-6.64979460367175e-05
-0.000600807552089475
-0.000488129760290973
0.002629847201282
-0.00508335129253669
-0.000654535289365911
0.000713089032905264
0.00017631348211703
-0.00118307742885969
-0.00154064947780773
0.0008401686446974
-0.0017658295084943
-0.00233721730457364
-0.000995832759749649
0.000453380835593304
0.000898649420257573
-0.000314597322698498
-0.00123252185077362
8.78562321872131e-05
-0.000672428279560397
0.000243717301244565
0.0013329172766259
-0.000978793826053218
-0.00147067162551774
-0.000990350158922138
-0.00104258504900996
-0.00140492347512407
0.00764116779420568
0.00385985381254906
0.00146333384357409
-0.00149276262011495
0.00506966892220885
-0.000722888415589872
-0.00480315125612542
-0.00110386007586379
-0.000716121652885972
0.000678184615710899
7.6115095094999e-05
-0.00048114450074346
-0.00333629678437956
0.00142253261344236
-0.00119261098524634
-0.00142145262741885
-0.00378399855705837
0.000117716603661615
-0.000329405503845429
0.00306564616660776
-0.00129855984802292
-0.000256614349261368
0.00043822781733966
0.000650110383485539




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157409&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157409&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157409&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.006801083402933260.00191180891830144
0.02-0.00572406803693990.00125527334532624
0.03-0.004876244660097050.000912664585729841
0.04-0.004295627316332790.000751164975607093
0.05-0.003892509481524670.000619604126995176
0.06-0.003598636464931760.000505943956264927
0.07-0.003374598266392540.000433195337905564
0.08-0.003194182784851380.000402080405920151
0.09-0.003039136601637420.000394170548763368
0.1-0.002898522172009180.00039204156678199
0.11-0.002767249946099240.000387293198337775
0.12-0.002643660296448050.000378366719466886
0.13-0.00252741230602530.00036686089795982
0.14-0.002418281503929140.000355009622678398
0.15-0.002315766546598090.000344416410527348
0.16-0.0022191580031120.000335532698291545
0.17-0.002127766672546030.000327678451475884
0.18-0.002041130074554490.000319453515326994
0.19-0.001959116163652480.000309302165172299
0.2-0.001881908093496980.000296064780960976
0.21-0.00180989305842290.000279303150961207
0.22-0.001743499349674150.000259405282864146
0.23-0.001683031220837980.00023745084732116
0.24-0.001628543214084580.000214975946000068
0.25-0.001579778806644130.000193654377332289
0.26-0.001536178555788310.000175014198382126
0.27-0.001496945769444880.000160178225737146
0.28-0.001461146684361060.000149706404428699
0.29-0.001427818575020930.000143541799260525
0.3-0.001396062560424190.000141132253241162
0.31-0.001365106072286180.000141670621640514
0.32-0.001334330143847820.000144346182948724
0.33-0.001303265987613380.000148511108079887
0.34-0.001271571566022610.000153740182669585
0.35-0.001239001013942530.000159783188769279
0.36-0.001205378102266860.000166481781323223
0.37-0.001170580655394780.000173679188823557
0.38-0.001134537600718280.000181150879008223
0.39-0.001097235677383160.000188566866473102
0.4-0.001058729827682260.00019551163218038
0.41-0.001019150383510320.000201523616851899
0.42-0.0009787012283451990.000206177592205719
0.43-0.0009376456489599730.000209159259635723
0.44-0.0008962798577314110.000210333098242214
0.45-0.0008548973715499870.000209793608716505
0.46-0.0008137498574648830.000207869320482271
0.47-0.0007730111809585270.000205091856713988
0.48-0.0007327510145971910.000202126840676648
0.49-0.0006929226452839660.000199676310135125
0.5-0.0006533670485846690.000198370582436488
0.51-0.0006138325496463330.000198675795415744
0.52-0.0005740070940319510.000200823375417091
0.53-0.0005335586958410030.000204789936164885
0.54-0.0004921790570566090.000210301583703646
0.55-0.0004496254117553860.000216875423032491
0.56-0.0004057559853082240.000223866782776245
0.57-0.0003605548343636290.000230535260697455
0.58-0.0003141422796447940.00023612268359112
0.59-0.0002667679518486790.000239944619043907
0.6-0.0002187850175187910.000241489923298741
0.61-0.0001706066352805280.000240514838847329
0.62-0.0001226489144248890.000237109676767498
0.63-7.5267954085385e-050.000231719762392933
0.64-2.87009794122518e-050.000225112339594388
0.651.69777716923473e-050.000218280260082755
0.666.18774783672471e-050.00021229166957044
0.670.0001062825634764090.000208107659782261
0.680.0001506165800224720.000206400541864806
0.690.0001953847713616050.000207425991435559
0.70.0002411068793478390.000210993306093759
0.710.0002882545541864690.000216550084958945
0.720.000337207541391270.000223350203233041
0.730.0003882394385578570.000230663204964087
0.740.0004415375580282120.000237963158357143
0.750.0004972532641444830.000245072695216535
0.760.0005555707856639260.000252220784680403
0.770.0006167764783348760.00026000047406764
0.780.0006813099893166050.000269205228115689
0.790.0007497865986111050.000280588935560172
0.80.0008229967877595230.000294643032364912
0.810.0009019106154200980.000311546281125485
0.820.000987730081650650.000331422055919361
0.830.001082027066570310.00035488703133078
0.840.001186965859121730.000383656709963114
0.850.001305543320514920.000420704015665107
0.860.001441721687893430.00046941968103464
0.870.0016003397259580.000531787609499566
0.880.001786815954722830.00060669523854301
0.890.002006868527551730.000690102566735477
0.90.002266591016666710.000777815426702787
0.910.002572960066234490.000869320808670206
0.920.002934069747656780.000968417175907961
0.930.003357527427891350.00107538178933919
0.940.003845881589073170.00117217130990926
0.950.004391580768337510.00121591433651323
0.960.004980526224183860.00116182852280626
0.970.005613107563861170.00102753235663509
0.980.006319307374825860.000985968703545236
0.990.007079777744829910.00125228905262008

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.00680108340293326 & 0.00191180891830144 \tabularnewline
0.02 & -0.0057240680369399 & 0.00125527334532624 \tabularnewline
0.03 & -0.00487624466009705 & 0.000912664585729841 \tabularnewline
0.04 & -0.00429562731633279 & 0.000751164975607093 \tabularnewline
0.05 & -0.00389250948152467 & 0.000619604126995176 \tabularnewline
0.06 & -0.00359863646493176 & 0.000505943956264927 \tabularnewline
0.07 & -0.00337459826639254 & 0.000433195337905564 \tabularnewline
0.08 & -0.00319418278485138 & 0.000402080405920151 \tabularnewline
0.09 & -0.00303913660163742 & 0.000394170548763368 \tabularnewline
0.1 & -0.00289852217200918 & 0.00039204156678199 \tabularnewline
0.11 & -0.00276724994609924 & 0.000387293198337775 \tabularnewline
0.12 & -0.00264366029644805 & 0.000378366719466886 \tabularnewline
0.13 & -0.0025274123060253 & 0.00036686089795982 \tabularnewline
0.14 & -0.00241828150392914 & 0.000355009622678398 \tabularnewline
0.15 & -0.00231576654659809 & 0.000344416410527348 \tabularnewline
0.16 & -0.002219158003112 & 0.000335532698291545 \tabularnewline
0.17 & -0.00212776667254603 & 0.000327678451475884 \tabularnewline
0.18 & -0.00204113007455449 & 0.000319453515326994 \tabularnewline
0.19 & -0.00195911616365248 & 0.000309302165172299 \tabularnewline
0.2 & -0.00188190809349698 & 0.000296064780960976 \tabularnewline
0.21 & -0.0018098930584229 & 0.000279303150961207 \tabularnewline
0.22 & -0.00174349934967415 & 0.000259405282864146 \tabularnewline
0.23 & -0.00168303122083798 & 0.00023745084732116 \tabularnewline
0.24 & -0.00162854321408458 & 0.000214975946000068 \tabularnewline
0.25 & -0.00157977880664413 & 0.000193654377332289 \tabularnewline
0.26 & -0.00153617855578831 & 0.000175014198382126 \tabularnewline
0.27 & -0.00149694576944488 & 0.000160178225737146 \tabularnewline
0.28 & -0.00146114668436106 & 0.000149706404428699 \tabularnewline
0.29 & -0.00142781857502093 & 0.000143541799260525 \tabularnewline
0.3 & -0.00139606256042419 & 0.000141132253241162 \tabularnewline
0.31 & -0.00136510607228618 & 0.000141670621640514 \tabularnewline
0.32 & -0.00133433014384782 & 0.000144346182948724 \tabularnewline
0.33 & -0.00130326598761338 & 0.000148511108079887 \tabularnewline
0.34 & -0.00127157156602261 & 0.000153740182669585 \tabularnewline
0.35 & -0.00123900101394253 & 0.000159783188769279 \tabularnewline
0.36 & -0.00120537810226686 & 0.000166481781323223 \tabularnewline
0.37 & -0.00117058065539478 & 0.000173679188823557 \tabularnewline
0.38 & -0.00113453760071828 & 0.000181150879008223 \tabularnewline
0.39 & -0.00109723567738316 & 0.000188566866473102 \tabularnewline
0.4 & -0.00105872982768226 & 0.00019551163218038 \tabularnewline
0.41 & -0.00101915038351032 & 0.000201523616851899 \tabularnewline
0.42 & -0.000978701228345199 & 0.000206177592205719 \tabularnewline
0.43 & -0.000937645648959973 & 0.000209159259635723 \tabularnewline
0.44 & -0.000896279857731411 & 0.000210333098242214 \tabularnewline
0.45 & -0.000854897371549987 & 0.000209793608716505 \tabularnewline
0.46 & -0.000813749857464883 & 0.000207869320482271 \tabularnewline
0.47 & -0.000773011180958527 & 0.000205091856713988 \tabularnewline
0.48 & -0.000732751014597191 & 0.000202126840676648 \tabularnewline
0.49 & -0.000692922645283966 & 0.000199676310135125 \tabularnewline
0.5 & -0.000653367048584669 & 0.000198370582436488 \tabularnewline
0.51 & -0.000613832549646333 & 0.000198675795415744 \tabularnewline
0.52 & -0.000574007094031951 & 0.000200823375417091 \tabularnewline
0.53 & -0.000533558695841003 & 0.000204789936164885 \tabularnewline
0.54 & -0.000492179057056609 & 0.000210301583703646 \tabularnewline
0.55 & -0.000449625411755386 & 0.000216875423032491 \tabularnewline
0.56 & -0.000405755985308224 & 0.000223866782776245 \tabularnewline
0.57 & -0.000360554834363629 & 0.000230535260697455 \tabularnewline
0.58 & -0.000314142279644794 & 0.00023612268359112 \tabularnewline
0.59 & -0.000266767951848679 & 0.000239944619043907 \tabularnewline
0.6 & -0.000218785017518791 & 0.000241489923298741 \tabularnewline
0.61 & -0.000170606635280528 & 0.000240514838847329 \tabularnewline
0.62 & -0.000122648914424889 & 0.000237109676767498 \tabularnewline
0.63 & -7.5267954085385e-05 & 0.000231719762392933 \tabularnewline
0.64 & -2.87009794122518e-05 & 0.000225112339594388 \tabularnewline
0.65 & 1.69777716923473e-05 & 0.000218280260082755 \tabularnewline
0.66 & 6.18774783672471e-05 & 0.00021229166957044 \tabularnewline
0.67 & 0.000106282563476409 & 0.000208107659782261 \tabularnewline
0.68 & 0.000150616580022472 & 0.000206400541864806 \tabularnewline
0.69 & 0.000195384771361605 & 0.000207425991435559 \tabularnewline
0.7 & 0.000241106879347839 & 0.000210993306093759 \tabularnewline
0.71 & 0.000288254554186469 & 0.000216550084958945 \tabularnewline
0.72 & 0.00033720754139127 & 0.000223350203233041 \tabularnewline
0.73 & 0.000388239438557857 & 0.000230663204964087 \tabularnewline
0.74 & 0.000441537558028212 & 0.000237963158357143 \tabularnewline
0.75 & 0.000497253264144483 & 0.000245072695216535 \tabularnewline
0.76 & 0.000555570785663926 & 0.000252220784680403 \tabularnewline
0.77 & 0.000616776478334876 & 0.00026000047406764 \tabularnewline
0.78 & 0.000681309989316605 & 0.000269205228115689 \tabularnewline
0.79 & 0.000749786598611105 & 0.000280588935560172 \tabularnewline
0.8 & 0.000822996787759523 & 0.000294643032364912 \tabularnewline
0.81 & 0.000901910615420098 & 0.000311546281125485 \tabularnewline
0.82 & 0.00098773008165065 & 0.000331422055919361 \tabularnewline
0.83 & 0.00108202706657031 & 0.00035488703133078 \tabularnewline
0.84 & 0.00118696585912173 & 0.000383656709963114 \tabularnewline
0.85 & 0.00130554332051492 & 0.000420704015665107 \tabularnewline
0.86 & 0.00144172168789343 & 0.00046941968103464 \tabularnewline
0.87 & 0.001600339725958 & 0.000531787609499566 \tabularnewline
0.88 & 0.00178681595472283 & 0.00060669523854301 \tabularnewline
0.89 & 0.00200686852755173 & 0.000690102566735477 \tabularnewline
0.9 & 0.00226659101666671 & 0.000777815426702787 \tabularnewline
0.91 & 0.00257296006623449 & 0.000869320808670206 \tabularnewline
0.92 & 0.00293406974765678 & 0.000968417175907961 \tabularnewline
0.93 & 0.00335752742789135 & 0.00107538178933919 \tabularnewline
0.94 & 0.00384588158907317 & 0.00117217130990926 \tabularnewline
0.95 & 0.00439158076833751 & 0.00121591433651323 \tabularnewline
0.96 & 0.00498052622418386 & 0.00116182852280626 \tabularnewline
0.97 & 0.00561310756386117 & 0.00102753235663509 \tabularnewline
0.98 & 0.00631930737482586 & 0.000985968703545236 \tabularnewline
0.99 & 0.00707977774482991 & 0.00125228905262008 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157409&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]-0.00680108340293326[/C][C]0.00191180891830144[/C][/ROW]
[ROW][C]0.02[/C][C]-0.0057240680369399[/C][C]0.00125527334532624[/C][/ROW]
[ROW][C]0.03[/C][C]-0.00487624466009705[/C][C]0.000912664585729841[/C][/ROW]
[ROW][C]0.04[/C][C]-0.00429562731633279[/C][C]0.000751164975607093[/C][/ROW]
[ROW][C]0.05[/C][C]-0.00389250948152467[/C][C]0.000619604126995176[/C][/ROW]
[ROW][C]0.06[/C][C]-0.00359863646493176[/C][C]0.000505943956264927[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00337459826639254[/C][C]0.000433195337905564[/C][/ROW]
[ROW][C]0.08[/C][C]-0.00319418278485138[/C][C]0.000402080405920151[/C][/ROW]
[ROW][C]0.09[/C][C]-0.00303913660163742[/C][C]0.000394170548763368[/C][/ROW]
[ROW][C]0.1[/C][C]-0.00289852217200918[/C][C]0.00039204156678199[/C][/ROW]
[ROW][C]0.11[/C][C]-0.00276724994609924[/C][C]0.000387293198337775[/C][/ROW]
[ROW][C]0.12[/C][C]-0.00264366029644805[/C][C]0.000378366719466886[/C][/ROW]
[ROW][C]0.13[/C][C]-0.0025274123060253[/C][C]0.00036686089795982[/C][/ROW]
[ROW][C]0.14[/C][C]-0.00241828150392914[/C][C]0.000355009622678398[/C][/ROW]
[ROW][C]0.15[/C][C]-0.00231576654659809[/C][C]0.000344416410527348[/C][/ROW]
[ROW][C]0.16[/C][C]-0.002219158003112[/C][C]0.000335532698291545[/C][/ROW]
[ROW][C]0.17[/C][C]-0.00212776667254603[/C][C]0.000327678451475884[/C][/ROW]
[ROW][C]0.18[/C][C]-0.00204113007455449[/C][C]0.000319453515326994[/C][/ROW]
[ROW][C]0.19[/C][C]-0.00195911616365248[/C][C]0.000309302165172299[/C][/ROW]
[ROW][C]0.2[/C][C]-0.00188190809349698[/C][C]0.000296064780960976[/C][/ROW]
[ROW][C]0.21[/C][C]-0.0018098930584229[/C][C]0.000279303150961207[/C][/ROW]
[ROW][C]0.22[/C][C]-0.00174349934967415[/C][C]0.000259405282864146[/C][/ROW]
[ROW][C]0.23[/C][C]-0.00168303122083798[/C][C]0.00023745084732116[/C][/ROW]
[ROW][C]0.24[/C][C]-0.00162854321408458[/C][C]0.000214975946000068[/C][/ROW]
[ROW][C]0.25[/C][C]-0.00157977880664413[/C][C]0.000193654377332289[/C][/ROW]
[ROW][C]0.26[/C][C]-0.00153617855578831[/C][C]0.000175014198382126[/C][/ROW]
[ROW][C]0.27[/C][C]-0.00149694576944488[/C][C]0.000160178225737146[/C][/ROW]
[ROW][C]0.28[/C][C]-0.00146114668436106[/C][C]0.000149706404428699[/C][/ROW]
[ROW][C]0.29[/C][C]-0.00142781857502093[/C][C]0.000143541799260525[/C][/ROW]
[ROW][C]0.3[/C][C]-0.00139606256042419[/C][C]0.000141132253241162[/C][/ROW]
[ROW][C]0.31[/C][C]-0.00136510607228618[/C][C]0.000141670621640514[/C][/ROW]
[ROW][C]0.32[/C][C]-0.00133433014384782[/C][C]0.000144346182948724[/C][/ROW]
[ROW][C]0.33[/C][C]-0.00130326598761338[/C][C]0.000148511108079887[/C][/ROW]
[ROW][C]0.34[/C][C]-0.00127157156602261[/C][C]0.000153740182669585[/C][/ROW]
[ROW][C]0.35[/C][C]-0.00123900101394253[/C][C]0.000159783188769279[/C][/ROW]
[ROW][C]0.36[/C][C]-0.00120537810226686[/C][C]0.000166481781323223[/C][/ROW]
[ROW][C]0.37[/C][C]-0.00117058065539478[/C][C]0.000173679188823557[/C][/ROW]
[ROW][C]0.38[/C][C]-0.00113453760071828[/C][C]0.000181150879008223[/C][/ROW]
[ROW][C]0.39[/C][C]-0.00109723567738316[/C][C]0.000188566866473102[/C][/ROW]
[ROW][C]0.4[/C][C]-0.00105872982768226[/C][C]0.00019551163218038[/C][/ROW]
[ROW][C]0.41[/C][C]-0.00101915038351032[/C][C]0.000201523616851899[/C][/ROW]
[ROW][C]0.42[/C][C]-0.000978701228345199[/C][C]0.000206177592205719[/C][/ROW]
[ROW][C]0.43[/C][C]-0.000937645648959973[/C][C]0.000209159259635723[/C][/ROW]
[ROW][C]0.44[/C][C]-0.000896279857731411[/C][C]0.000210333098242214[/C][/ROW]
[ROW][C]0.45[/C][C]-0.000854897371549987[/C][C]0.000209793608716505[/C][/ROW]
[ROW][C]0.46[/C][C]-0.000813749857464883[/C][C]0.000207869320482271[/C][/ROW]
[ROW][C]0.47[/C][C]-0.000773011180958527[/C][C]0.000205091856713988[/C][/ROW]
[ROW][C]0.48[/C][C]-0.000732751014597191[/C][C]0.000202126840676648[/C][/ROW]
[ROW][C]0.49[/C][C]-0.000692922645283966[/C][C]0.000199676310135125[/C][/ROW]
[ROW][C]0.5[/C][C]-0.000653367048584669[/C][C]0.000198370582436488[/C][/ROW]
[ROW][C]0.51[/C][C]-0.000613832549646333[/C][C]0.000198675795415744[/C][/ROW]
[ROW][C]0.52[/C][C]-0.000574007094031951[/C][C]0.000200823375417091[/C][/ROW]
[ROW][C]0.53[/C][C]-0.000533558695841003[/C][C]0.000204789936164885[/C][/ROW]
[ROW][C]0.54[/C][C]-0.000492179057056609[/C][C]0.000210301583703646[/C][/ROW]
[ROW][C]0.55[/C][C]-0.000449625411755386[/C][C]0.000216875423032491[/C][/ROW]
[ROW][C]0.56[/C][C]-0.000405755985308224[/C][C]0.000223866782776245[/C][/ROW]
[ROW][C]0.57[/C][C]-0.000360554834363629[/C][C]0.000230535260697455[/C][/ROW]
[ROW][C]0.58[/C][C]-0.000314142279644794[/C][C]0.00023612268359112[/C][/ROW]
[ROW][C]0.59[/C][C]-0.000266767951848679[/C][C]0.000239944619043907[/C][/ROW]
[ROW][C]0.6[/C][C]-0.000218785017518791[/C][C]0.000241489923298741[/C][/ROW]
[ROW][C]0.61[/C][C]-0.000170606635280528[/C][C]0.000240514838847329[/C][/ROW]
[ROW][C]0.62[/C][C]-0.000122648914424889[/C][C]0.000237109676767498[/C][/ROW]
[ROW][C]0.63[/C][C]-7.5267954085385e-05[/C][C]0.000231719762392933[/C][/ROW]
[ROW][C]0.64[/C][C]-2.87009794122518e-05[/C][C]0.000225112339594388[/C][/ROW]
[ROW][C]0.65[/C][C]1.69777716923473e-05[/C][C]0.000218280260082755[/C][/ROW]
[ROW][C]0.66[/C][C]6.18774783672471e-05[/C][C]0.00021229166957044[/C][/ROW]
[ROW][C]0.67[/C][C]0.000106282563476409[/C][C]0.000208107659782261[/C][/ROW]
[ROW][C]0.68[/C][C]0.000150616580022472[/C][C]0.000206400541864806[/C][/ROW]
[ROW][C]0.69[/C][C]0.000195384771361605[/C][C]0.000207425991435559[/C][/ROW]
[ROW][C]0.7[/C][C]0.000241106879347839[/C][C]0.000210993306093759[/C][/ROW]
[ROW][C]0.71[/C][C]0.000288254554186469[/C][C]0.000216550084958945[/C][/ROW]
[ROW][C]0.72[/C][C]0.00033720754139127[/C][C]0.000223350203233041[/C][/ROW]
[ROW][C]0.73[/C][C]0.000388239438557857[/C][C]0.000230663204964087[/C][/ROW]
[ROW][C]0.74[/C][C]0.000441537558028212[/C][C]0.000237963158357143[/C][/ROW]
[ROW][C]0.75[/C][C]0.000497253264144483[/C][C]0.000245072695216535[/C][/ROW]
[ROW][C]0.76[/C][C]0.000555570785663926[/C][C]0.000252220784680403[/C][/ROW]
[ROW][C]0.77[/C][C]0.000616776478334876[/C][C]0.00026000047406764[/C][/ROW]
[ROW][C]0.78[/C][C]0.000681309989316605[/C][C]0.000269205228115689[/C][/ROW]
[ROW][C]0.79[/C][C]0.000749786598611105[/C][C]0.000280588935560172[/C][/ROW]
[ROW][C]0.8[/C][C]0.000822996787759523[/C][C]0.000294643032364912[/C][/ROW]
[ROW][C]0.81[/C][C]0.000901910615420098[/C][C]0.000311546281125485[/C][/ROW]
[ROW][C]0.82[/C][C]0.00098773008165065[/C][C]0.000331422055919361[/C][/ROW]
[ROW][C]0.83[/C][C]0.00108202706657031[/C][C]0.00035488703133078[/C][/ROW]
[ROW][C]0.84[/C][C]0.00118696585912173[/C][C]0.000383656709963114[/C][/ROW]
[ROW][C]0.85[/C][C]0.00130554332051492[/C][C]0.000420704015665107[/C][/ROW]
[ROW][C]0.86[/C][C]0.00144172168789343[/C][C]0.00046941968103464[/C][/ROW]
[ROW][C]0.87[/C][C]0.001600339725958[/C][C]0.000531787609499566[/C][/ROW]
[ROW][C]0.88[/C][C]0.00178681595472283[/C][C]0.00060669523854301[/C][/ROW]
[ROW][C]0.89[/C][C]0.00200686852755173[/C][C]0.000690102566735477[/C][/ROW]
[ROW][C]0.9[/C][C]0.00226659101666671[/C][C]0.000777815426702787[/C][/ROW]
[ROW][C]0.91[/C][C]0.00257296006623449[/C][C]0.000869320808670206[/C][/ROW]
[ROW][C]0.92[/C][C]0.00293406974765678[/C][C]0.000968417175907961[/C][/ROW]
[ROW][C]0.93[/C][C]0.00335752742789135[/C][C]0.00107538178933919[/C][/ROW]
[ROW][C]0.94[/C][C]0.00384588158907317[/C][C]0.00117217130990926[/C][/ROW]
[ROW][C]0.95[/C][C]0.00439158076833751[/C][C]0.00121591433651323[/C][/ROW]
[ROW][C]0.96[/C][C]0.00498052622418386[/C][C]0.00116182852280626[/C][/ROW]
[ROW][C]0.97[/C][C]0.00561310756386117[/C][C]0.00102753235663509[/C][/ROW]
[ROW][C]0.98[/C][C]0.00631930737482586[/C][C]0.000985968703545236[/C][/ROW]
[ROW][C]0.99[/C][C]0.00707977774482991[/C][C]0.00125228905262008[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157409&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157409&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.006801083402933260.00191180891830144
0.02-0.00572406803693990.00125527334532624
0.03-0.004876244660097050.000912664585729841
0.04-0.004295627316332790.000751164975607093
0.05-0.003892509481524670.000619604126995176
0.06-0.003598636464931760.000505943956264927
0.07-0.003374598266392540.000433195337905564
0.08-0.003194182784851380.000402080405920151
0.09-0.003039136601637420.000394170548763368
0.1-0.002898522172009180.00039204156678199
0.11-0.002767249946099240.000387293198337775
0.12-0.002643660296448050.000378366719466886
0.13-0.00252741230602530.00036686089795982
0.14-0.002418281503929140.000355009622678398
0.15-0.002315766546598090.000344416410527348
0.16-0.0022191580031120.000335532698291545
0.17-0.002127766672546030.000327678451475884
0.18-0.002041130074554490.000319453515326994
0.19-0.001959116163652480.000309302165172299
0.2-0.001881908093496980.000296064780960976
0.21-0.00180989305842290.000279303150961207
0.22-0.001743499349674150.000259405282864146
0.23-0.001683031220837980.00023745084732116
0.24-0.001628543214084580.000214975946000068
0.25-0.001579778806644130.000193654377332289
0.26-0.001536178555788310.000175014198382126
0.27-0.001496945769444880.000160178225737146
0.28-0.001461146684361060.000149706404428699
0.29-0.001427818575020930.000143541799260525
0.3-0.001396062560424190.000141132253241162
0.31-0.001365106072286180.000141670621640514
0.32-0.001334330143847820.000144346182948724
0.33-0.001303265987613380.000148511108079887
0.34-0.001271571566022610.000153740182669585
0.35-0.001239001013942530.000159783188769279
0.36-0.001205378102266860.000166481781323223
0.37-0.001170580655394780.000173679188823557
0.38-0.001134537600718280.000181150879008223
0.39-0.001097235677383160.000188566866473102
0.4-0.001058729827682260.00019551163218038
0.41-0.001019150383510320.000201523616851899
0.42-0.0009787012283451990.000206177592205719
0.43-0.0009376456489599730.000209159259635723
0.44-0.0008962798577314110.000210333098242214
0.45-0.0008548973715499870.000209793608716505
0.46-0.0008137498574648830.000207869320482271
0.47-0.0007730111809585270.000205091856713988
0.48-0.0007327510145971910.000202126840676648
0.49-0.0006929226452839660.000199676310135125
0.5-0.0006533670485846690.000198370582436488
0.51-0.0006138325496463330.000198675795415744
0.52-0.0005740070940319510.000200823375417091
0.53-0.0005335586958410030.000204789936164885
0.54-0.0004921790570566090.000210301583703646
0.55-0.0004496254117553860.000216875423032491
0.56-0.0004057559853082240.000223866782776245
0.57-0.0003605548343636290.000230535260697455
0.58-0.0003141422796447940.00023612268359112
0.59-0.0002667679518486790.000239944619043907
0.6-0.0002187850175187910.000241489923298741
0.61-0.0001706066352805280.000240514838847329
0.62-0.0001226489144248890.000237109676767498
0.63-7.5267954085385e-050.000231719762392933
0.64-2.87009794122518e-050.000225112339594388
0.651.69777716923473e-050.000218280260082755
0.666.18774783672471e-050.00021229166957044
0.670.0001062825634764090.000208107659782261
0.680.0001506165800224720.000206400541864806
0.690.0001953847713616050.000207425991435559
0.70.0002411068793478390.000210993306093759
0.710.0002882545541864690.000216550084958945
0.720.000337207541391270.000223350203233041
0.730.0003882394385578570.000230663204964087
0.740.0004415375580282120.000237963158357143
0.750.0004972532641444830.000245072695216535
0.760.0005555707856639260.000252220784680403
0.770.0006167764783348760.00026000047406764
0.780.0006813099893166050.000269205228115689
0.790.0007497865986111050.000280588935560172
0.80.0008229967877595230.000294643032364912
0.810.0009019106154200980.000311546281125485
0.820.000987730081650650.000331422055919361
0.830.001082027066570310.00035488703133078
0.840.001186965859121730.000383656709963114
0.850.001305543320514920.000420704015665107
0.860.001441721687893430.00046941968103464
0.870.0016003397259580.000531787609499566
0.880.001786815954722830.00060669523854301
0.890.002006868527551730.000690102566735477
0.90.002266591016666710.000777815426702787
0.910.002572960066234490.000869320808670206
0.920.002934069747656780.000968417175907961
0.930.003357527427891350.00107538178933919
0.940.003845881589073170.00117217130990926
0.950.004391580768337510.00121591433651323
0.960.004980526224183860.00116182852280626
0.970.005613107563861170.00102753235663509
0.980.006319307374825860.000985968703545236
0.990.007079777744829910.00125228905262008



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')