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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 15 Mar 2009 12:02:36 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/15/t1237140332i49adgy5qro9k4s.htm/, Retrieved Tue, 06 Dec 2022 14:04:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39097, Retrieved Tue, 06 Dec 2022 14:04:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [percielen - gemid...] [2009-03-15 18:02:36] [95fcaf7e4175e3dfad928879b5f9d7c2] [Current]
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Dataseries X:
0,63
0,63
0,63
0,64
0,63
0,63
0,63
0,63
0,63
0,64
0,65
0,65
0,65
0,65
0,65
0,66
0,65
0,66
0,66
0,66
0,66
0,68
0,69
0,7
0,71
0,71
0,7
0,7
0,7
0,7
0,71
0,7
0,7
0,7
0,69
0,7
0,69
0,69
0,69
0,7
0,7
0,71
0,71
0,71
0,72
0,73
0,74
0,74
0,74
0,74
0,75
0,75
0,76
0,76
0,76
0,76
0,76
0,77
0,77
0,78
0,78
0,78
0,78
0,78
0,78
0,78
0,8
0,8
0,8
0,81
0,81
0,81
0,8
0,81
0,81
0,81
0,8
0,82
0,83
0,83




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39097&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]3 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=39097&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39097&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.63000134891496.8244741424488e-06
0.020.6300113198177464.96757874123214e-05
0.030.6300523236594410.000196971623034724
0.040.6301724274405970.000553337001507587
0.050.6304493511119880.00122302812555224
0.060.6309802227533470.00224666747705755
0.070.6318563580625150.00355665833177898
0.080.6331319674151810.00497503039866547
0.090.6348009365697910.0062672961644565
0.10.6367928047760260.00722277739796362
0.110.6389899468142180.0077223600098267
0.120.6412586039005640.00776888087292118
0.130.6434817617082740.0074744792627023
0.140.645583214828060.00702368331297736
0.150.6475374132257760.00661656802862461
0.160.6493655782231010.00642675584671975
0.170.6511225952567580.00655708788631964
0.180.6528804311883610.00702901115245132
0.190.6547127701121090.00779926029961365
0.20.6566834016514160.0087953059204122
0.210.658838826771430.00993254067625415
0.220.6612043154594150.0111180487589926
0.230.6637824037238750.0122524679455549
0.240.6665532195741830.0132342698304563
0.250.6694765507114670.0139681044758134
0.260.6724957893307110.0143822041319994
0.270.6755436783220850.0144354423060960
0.280.6785492951352590.0141276824360443
0.290.681445250524650.0134946275745419
0.30.6841739168064650.0126027507539885
0.310.6866917305463720.0115320606093832
0.320.6889711391262310.0103663450584894
0.330.6910003601875010.0091793089636215
0.340.6927815750339010.00803167414529473
0.350.6943283523917030.00696672737293888
0.360.6956629974739370.00601792882305019
0.370.6968142457917720.0052095327656303
0.380.697815414041350.00456400365931499
0.390.6987028998626710.00410229256095475
0.40.6995148435973260.00384300688411022
0.410.7002898157617780.00379419459718647
0.420.701065514607140.00395058237005757
0.430.7018775755031660.00428912020087801
0.440.7027586498133060.00478402137407559
0.450.7037378802736430.00540899498400094
0.460.7048407945653120.00614332963772452
0.470.7060895000716090.00697388247939316
0.480.7075029458743250.00788824665677344
0.490.7090969729142540.00887812246609723
0.50.7108839273412490.00992622775864846
0.510.712871759030420.0110076455106025
0.520.7150627261756870.0120868372362524
0.530.7174520138635730.0131199719051974
0.540.720026683667640.0140530210225365
0.550.7227653586703530.0148387819327755
0.560.7256389097804890.0154348758886890
0.570.728612184162080.0158149557016160
0.580.7316465748087080.0159691385715405
0.590.7347030461674340.0159076541450366
0.60.7377451549871580.0156565140190218
0.610.7407416467880220.0152531275585777
0.620.7436683325217880.0147412691422163
0.630.7465090990117430.0141657802285374
0.640.7492560273984760.0135687304234082
0.650.7519086634404570.0129884042556659
0.660.7544725194511030.0124537492151138
0.670.7569569343669630.0119833529004512
0.680.7593725174444440.0115808661116651
0.690.7617285577612090.0112355288338377
0.70.7640309466510530.0109209996440747
0.710.7662812378920650.0106049239503500
0.720.7684773567358610.0102597309961354
0.730.7706161054925080.00987247987545119
0.740.7726970379743760.00945610247836326
0.750.7747266419497680.00905290998981113
0.760.7767213226129520.00872621834057954
0.770.7787076785973360.00854587402317782
0.780.7807191621143570.00855618295732501
0.790.7827893592654420.00875099604775811
0.80.7849434857816950.00906253943537974
0.810.7871907181413440.0093806645695963
0.820.7895200955494730.00958696180069151
0.830.791901634325130.0095914668307426
0.840.79429224680360.00935513030479228
0.850.7966439308739940.0088964498788843
0.860.7989107035791110.00827166632587067
0.870.8010517974875860.0075419124442786
0.880.8030316361760360.00674391132646649
0.890.8048207142861360.00588438134441501
0.90.806403603698740.0049723769833806
0.910.8077989668538910.00407044746636357
0.920.8090906814120820.00335168391806899
0.930.8104587758915960.00315488676156346
0.940.8121844171494720.00384383621168342
0.950.8145890132863350.00536022850215996
0.960.817870338079710.0071246444540117
0.970.8218551768717930.00807328112089628
0.980.8258295798792950.00694922841482774
0.990.8287530874785370.00350169401179250

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.6300013489149 & 6.8244741424488e-06 \tabularnewline
0.02 & 0.630011319817746 & 4.96757874123214e-05 \tabularnewline
0.03 & 0.630052323659441 & 0.000196971623034724 \tabularnewline
0.04 & 0.630172427440597 & 0.000553337001507587 \tabularnewline
0.05 & 0.630449351111988 & 0.00122302812555224 \tabularnewline
0.06 & 0.630980222753347 & 0.00224666747705755 \tabularnewline
0.07 & 0.631856358062515 & 0.00355665833177898 \tabularnewline
0.08 & 0.633131967415181 & 0.00497503039866547 \tabularnewline
0.09 & 0.634800936569791 & 0.0062672961644565 \tabularnewline
0.1 & 0.636792804776026 & 0.00722277739796362 \tabularnewline
0.11 & 0.638989946814218 & 0.0077223600098267 \tabularnewline
0.12 & 0.641258603900564 & 0.00776888087292118 \tabularnewline
0.13 & 0.643481761708274 & 0.0074744792627023 \tabularnewline
0.14 & 0.64558321482806 & 0.00702368331297736 \tabularnewline
0.15 & 0.647537413225776 & 0.00661656802862461 \tabularnewline
0.16 & 0.649365578223101 & 0.00642675584671975 \tabularnewline
0.17 & 0.651122595256758 & 0.00655708788631964 \tabularnewline
0.18 & 0.652880431188361 & 0.00702901115245132 \tabularnewline
0.19 & 0.654712770112109 & 0.00779926029961365 \tabularnewline
0.2 & 0.656683401651416 & 0.0087953059204122 \tabularnewline
0.21 & 0.65883882677143 & 0.00993254067625415 \tabularnewline
0.22 & 0.661204315459415 & 0.0111180487589926 \tabularnewline
0.23 & 0.663782403723875 & 0.0122524679455549 \tabularnewline
0.24 & 0.666553219574183 & 0.0132342698304563 \tabularnewline
0.25 & 0.669476550711467 & 0.0139681044758134 \tabularnewline
0.26 & 0.672495789330711 & 0.0143822041319994 \tabularnewline
0.27 & 0.675543678322085 & 0.0144354423060960 \tabularnewline
0.28 & 0.678549295135259 & 0.0141276824360443 \tabularnewline
0.29 & 0.68144525052465 & 0.0134946275745419 \tabularnewline
0.3 & 0.684173916806465 & 0.0126027507539885 \tabularnewline
0.31 & 0.686691730546372 & 0.0115320606093832 \tabularnewline
0.32 & 0.688971139126231 & 0.0103663450584894 \tabularnewline
0.33 & 0.691000360187501 & 0.0091793089636215 \tabularnewline
0.34 & 0.692781575033901 & 0.00803167414529473 \tabularnewline
0.35 & 0.694328352391703 & 0.00696672737293888 \tabularnewline
0.36 & 0.695662997473937 & 0.00601792882305019 \tabularnewline
0.37 & 0.696814245791772 & 0.0052095327656303 \tabularnewline
0.38 & 0.69781541404135 & 0.00456400365931499 \tabularnewline
0.39 & 0.698702899862671 & 0.00410229256095475 \tabularnewline
0.4 & 0.699514843597326 & 0.00384300688411022 \tabularnewline
0.41 & 0.700289815761778 & 0.00379419459718647 \tabularnewline
0.42 & 0.70106551460714 & 0.00395058237005757 \tabularnewline
0.43 & 0.701877575503166 & 0.00428912020087801 \tabularnewline
0.44 & 0.702758649813306 & 0.00478402137407559 \tabularnewline
0.45 & 0.703737880273643 & 0.00540899498400094 \tabularnewline
0.46 & 0.704840794565312 & 0.00614332963772452 \tabularnewline
0.47 & 0.706089500071609 & 0.00697388247939316 \tabularnewline
0.48 & 0.707502945874325 & 0.00788824665677344 \tabularnewline
0.49 & 0.709096972914254 & 0.00887812246609723 \tabularnewline
0.5 & 0.710883927341249 & 0.00992622775864846 \tabularnewline
0.51 & 0.71287175903042 & 0.0110076455106025 \tabularnewline
0.52 & 0.715062726175687 & 0.0120868372362524 \tabularnewline
0.53 & 0.717452013863573 & 0.0131199719051974 \tabularnewline
0.54 & 0.72002668366764 & 0.0140530210225365 \tabularnewline
0.55 & 0.722765358670353 & 0.0148387819327755 \tabularnewline
0.56 & 0.725638909780489 & 0.0154348758886890 \tabularnewline
0.57 & 0.72861218416208 & 0.0158149557016160 \tabularnewline
0.58 & 0.731646574808708 & 0.0159691385715405 \tabularnewline
0.59 & 0.734703046167434 & 0.0159076541450366 \tabularnewline
0.6 & 0.737745154987158 & 0.0156565140190218 \tabularnewline
0.61 & 0.740741646788022 & 0.0152531275585777 \tabularnewline
0.62 & 0.743668332521788 & 0.0147412691422163 \tabularnewline
0.63 & 0.746509099011743 & 0.0141657802285374 \tabularnewline
0.64 & 0.749256027398476 & 0.0135687304234082 \tabularnewline
0.65 & 0.751908663440457 & 0.0129884042556659 \tabularnewline
0.66 & 0.754472519451103 & 0.0124537492151138 \tabularnewline
0.67 & 0.756956934366963 & 0.0119833529004512 \tabularnewline
0.68 & 0.759372517444444 & 0.0115808661116651 \tabularnewline
0.69 & 0.761728557761209 & 0.0112355288338377 \tabularnewline
0.7 & 0.764030946651053 & 0.0109209996440747 \tabularnewline
0.71 & 0.766281237892065 & 0.0106049239503500 \tabularnewline
0.72 & 0.768477356735861 & 0.0102597309961354 \tabularnewline
0.73 & 0.770616105492508 & 0.00987247987545119 \tabularnewline
0.74 & 0.772697037974376 & 0.00945610247836326 \tabularnewline
0.75 & 0.774726641949768 & 0.00905290998981113 \tabularnewline
0.76 & 0.776721322612952 & 0.00872621834057954 \tabularnewline
0.77 & 0.778707678597336 & 0.00854587402317782 \tabularnewline
0.78 & 0.780719162114357 & 0.00855618295732501 \tabularnewline
0.79 & 0.782789359265442 & 0.00875099604775811 \tabularnewline
0.8 & 0.784943485781695 & 0.00906253943537974 \tabularnewline
0.81 & 0.787190718141344 & 0.0093806645695963 \tabularnewline
0.82 & 0.789520095549473 & 0.00958696180069151 \tabularnewline
0.83 & 0.79190163432513 & 0.0095914668307426 \tabularnewline
0.84 & 0.7942922468036 & 0.00935513030479228 \tabularnewline
0.85 & 0.796643930873994 & 0.0088964498788843 \tabularnewline
0.86 & 0.798910703579111 & 0.00827166632587067 \tabularnewline
0.87 & 0.801051797487586 & 0.0075419124442786 \tabularnewline
0.88 & 0.803031636176036 & 0.00674391132646649 \tabularnewline
0.89 & 0.804820714286136 & 0.00588438134441501 \tabularnewline
0.9 & 0.80640360369874 & 0.0049723769833806 \tabularnewline
0.91 & 0.807798966853891 & 0.00407044746636357 \tabularnewline
0.92 & 0.809090681412082 & 0.00335168391806899 \tabularnewline
0.93 & 0.810458775891596 & 0.00315488676156346 \tabularnewline
0.94 & 0.812184417149472 & 0.00384383621168342 \tabularnewline
0.95 & 0.814589013286335 & 0.00536022850215996 \tabularnewline
0.96 & 0.81787033807971 & 0.0071246444540117 \tabularnewline
0.97 & 0.821855176871793 & 0.00807328112089628 \tabularnewline
0.98 & 0.825829579879295 & 0.00694922841482774 \tabularnewline
0.99 & 0.828753087478537 & 0.00350169401179250 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39097&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]0.6300013489149[/C][C]6.8244741424488e-06[/C][/ROW]
[ROW][C]0.02[/C][C]0.630011319817746[/C][C]4.96757874123214e-05[/C][/ROW]
[ROW][C]0.03[/C][C]0.630052323659441[/C][C]0.000196971623034724[/C][/ROW]
[ROW][C]0.04[/C][C]0.630172427440597[/C][C]0.000553337001507587[/C][/ROW]
[ROW][C]0.05[/C][C]0.630449351111988[/C][C]0.00122302812555224[/C][/ROW]
[ROW][C]0.06[/C][C]0.630980222753347[/C][C]0.00224666747705755[/C][/ROW]
[ROW][C]0.07[/C][C]0.631856358062515[/C][C]0.00355665833177898[/C][/ROW]
[ROW][C]0.08[/C][C]0.633131967415181[/C][C]0.00497503039866547[/C][/ROW]
[ROW][C]0.09[/C][C]0.634800936569791[/C][C]0.0062672961644565[/C][/ROW]
[ROW][C]0.1[/C][C]0.636792804776026[/C][C]0.00722277739796362[/C][/ROW]
[ROW][C]0.11[/C][C]0.638989946814218[/C][C]0.0077223600098267[/C][/ROW]
[ROW][C]0.12[/C][C]0.641258603900564[/C][C]0.00776888087292118[/C][/ROW]
[ROW][C]0.13[/C][C]0.643481761708274[/C][C]0.0074744792627023[/C][/ROW]
[ROW][C]0.14[/C][C]0.64558321482806[/C][C]0.00702368331297736[/C][/ROW]
[ROW][C]0.15[/C][C]0.647537413225776[/C][C]0.00661656802862461[/C][/ROW]
[ROW][C]0.16[/C][C]0.649365578223101[/C][C]0.00642675584671975[/C][/ROW]
[ROW][C]0.17[/C][C]0.651122595256758[/C][C]0.00655708788631964[/C][/ROW]
[ROW][C]0.18[/C][C]0.652880431188361[/C][C]0.00702901115245132[/C][/ROW]
[ROW][C]0.19[/C][C]0.654712770112109[/C][C]0.00779926029961365[/C][/ROW]
[ROW][C]0.2[/C][C]0.656683401651416[/C][C]0.0087953059204122[/C][/ROW]
[ROW][C]0.21[/C][C]0.65883882677143[/C][C]0.00993254067625415[/C][/ROW]
[ROW][C]0.22[/C][C]0.661204315459415[/C][C]0.0111180487589926[/C][/ROW]
[ROW][C]0.23[/C][C]0.663782403723875[/C][C]0.0122524679455549[/C][/ROW]
[ROW][C]0.24[/C][C]0.666553219574183[/C][C]0.0132342698304563[/C][/ROW]
[ROW][C]0.25[/C][C]0.669476550711467[/C][C]0.0139681044758134[/C][/ROW]
[ROW][C]0.26[/C][C]0.672495789330711[/C][C]0.0143822041319994[/C][/ROW]
[ROW][C]0.27[/C][C]0.675543678322085[/C][C]0.0144354423060960[/C][/ROW]
[ROW][C]0.28[/C][C]0.678549295135259[/C][C]0.0141276824360443[/C][/ROW]
[ROW][C]0.29[/C][C]0.68144525052465[/C][C]0.0134946275745419[/C][/ROW]
[ROW][C]0.3[/C][C]0.684173916806465[/C][C]0.0126027507539885[/C][/ROW]
[ROW][C]0.31[/C][C]0.686691730546372[/C][C]0.0115320606093832[/C][/ROW]
[ROW][C]0.32[/C][C]0.688971139126231[/C][C]0.0103663450584894[/C][/ROW]
[ROW][C]0.33[/C][C]0.691000360187501[/C][C]0.0091793089636215[/C][/ROW]
[ROW][C]0.34[/C][C]0.692781575033901[/C][C]0.00803167414529473[/C][/ROW]
[ROW][C]0.35[/C][C]0.694328352391703[/C][C]0.00696672737293888[/C][/ROW]
[ROW][C]0.36[/C][C]0.695662997473937[/C][C]0.00601792882305019[/C][/ROW]
[ROW][C]0.37[/C][C]0.696814245791772[/C][C]0.0052095327656303[/C][/ROW]
[ROW][C]0.38[/C][C]0.69781541404135[/C][C]0.00456400365931499[/C][/ROW]
[ROW][C]0.39[/C][C]0.698702899862671[/C][C]0.00410229256095475[/C][/ROW]
[ROW][C]0.4[/C][C]0.699514843597326[/C][C]0.00384300688411022[/C][/ROW]
[ROW][C]0.41[/C][C]0.700289815761778[/C][C]0.00379419459718647[/C][/ROW]
[ROW][C]0.42[/C][C]0.70106551460714[/C][C]0.00395058237005757[/C][/ROW]
[ROW][C]0.43[/C][C]0.701877575503166[/C][C]0.00428912020087801[/C][/ROW]
[ROW][C]0.44[/C][C]0.702758649813306[/C][C]0.00478402137407559[/C][/ROW]
[ROW][C]0.45[/C][C]0.703737880273643[/C][C]0.00540899498400094[/C][/ROW]
[ROW][C]0.46[/C][C]0.704840794565312[/C][C]0.00614332963772452[/C][/ROW]
[ROW][C]0.47[/C][C]0.706089500071609[/C][C]0.00697388247939316[/C][/ROW]
[ROW][C]0.48[/C][C]0.707502945874325[/C][C]0.00788824665677344[/C][/ROW]
[ROW][C]0.49[/C][C]0.709096972914254[/C][C]0.00887812246609723[/C][/ROW]
[ROW][C]0.5[/C][C]0.710883927341249[/C][C]0.00992622775864846[/C][/ROW]
[ROW][C]0.51[/C][C]0.71287175903042[/C][C]0.0110076455106025[/C][/ROW]
[ROW][C]0.52[/C][C]0.715062726175687[/C][C]0.0120868372362524[/C][/ROW]
[ROW][C]0.53[/C][C]0.717452013863573[/C][C]0.0131199719051974[/C][/ROW]
[ROW][C]0.54[/C][C]0.72002668366764[/C][C]0.0140530210225365[/C][/ROW]
[ROW][C]0.55[/C][C]0.722765358670353[/C][C]0.0148387819327755[/C][/ROW]
[ROW][C]0.56[/C][C]0.725638909780489[/C][C]0.0154348758886890[/C][/ROW]
[ROW][C]0.57[/C][C]0.72861218416208[/C][C]0.0158149557016160[/C][/ROW]
[ROW][C]0.58[/C][C]0.731646574808708[/C][C]0.0159691385715405[/C][/ROW]
[ROW][C]0.59[/C][C]0.734703046167434[/C][C]0.0159076541450366[/C][/ROW]
[ROW][C]0.6[/C][C]0.737745154987158[/C][C]0.0156565140190218[/C][/ROW]
[ROW][C]0.61[/C][C]0.740741646788022[/C][C]0.0152531275585777[/C][/ROW]
[ROW][C]0.62[/C][C]0.743668332521788[/C][C]0.0147412691422163[/C][/ROW]
[ROW][C]0.63[/C][C]0.746509099011743[/C][C]0.0141657802285374[/C][/ROW]
[ROW][C]0.64[/C][C]0.749256027398476[/C][C]0.0135687304234082[/C][/ROW]
[ROW][C]0.65[/C][C]0.751908663440457[/C][C]0.0129884042556659[/C][/ROW]
[ROW][C]0.66[/C][C]0.754472519451103[/C][C]0.0124537492151138[/C][/ROW]
[ROW][C]0.67[/C][C]0.756956934366963[/C][C]0.0119833529004512[/C][/ROW]
[ROW][C]0.68[/C][C]0.759372517444444[/C][C]0.0115808661116651[/C][/ROW]
[ROW][C]0.69[/C][C]0.761728557761209[/C][C]0.0112355288338377[/C][/ROW]
[ROW][C]0.7[/C][C]0.764030946651053[/C][C]0.0109209996440747[/C][/ROW]
[ROW][C]0.71[/C][C]0.766281237892065[/C][C]0.0106049239503500[/C][/ROW]
[ROW][C]0.72[/C][C]0.768477356735861[/C][C]0.0102597309961354[/C][/ROW]
[ROW][C]0.73[/C][C]0.770616105492508[/C][C]0.00987247987545119[/C][/ROW]
[ROW][C]0.74[/C][C]0.772697037974376[/C][C]0.00945610247836326[/C][/ROW]
[ROW][C]0.75[/C][C]0.774726641949768[/C][C]0.00905290998981113[/C][/ROW]
[ROW][C]0.76[/C][C]0.776721322612952[/C][C]0.00872621834057954[/C][/ROW]
[ROW][C]0.77[/C][C]0.778707678597336[/C][C]0.00854587402317782[/C][/ROW]
[ROW][C]0.78[/C][C]0.780719162114357[/C][C]0.00855618295732501[/C][/ROW]
[ROW][C]0.79[/C][C]0.782789359265442[/C][C]0.00875099604775811[/C][/ROW]
[ROW][C]0.8[/C][C]0.784943485781695[/C][C]0.00906253943537974[/C][/ROW]
[ROW][C]0.81[/C][C]0.787190718141344[/C][C]0.0093806645695963[/C][/ROW]
[ROW][C]0.82[/C][C]0.789520095549473[/C][C]0.00958696180069151[/C][/ROW]
[ROW][C]0.83[/C][C]0.79190163432513[/C][C]0.0095914668307426[/C][/ROW]
[ROW][C]0.84[/C][C]0.7942922468036[/C][C]0.00935513030479228[/C][/ROW]
[ROW][C]0.85[/C][C]0.796643930873994[/C][C]0.0088964498788843[/C][/ROW]
[ROW][C]0.86[/C][C]0.798910703579111[/C][C]0.00827166632587067[/C][/ROW]
[ROW][C]0.87[/C][C]0.801051797487586[/C][C]0.0075419124442786[/C][/ROW]
[ROW][C]0.88[/C][C]0.803031636176036[/C][C]0.00674391132646649[/C][/ROW]
[ROW][C]0.89[/C][C]0.804820714286136[/C][C]0.00588438134441501[/C][/ROW]
[ROW][C]0.9[/C][C]0.80640360369874[/C][C]0.0049723769833806[/C][/ROW]
[ROW][C]0.91[/C][C]0.807798966853891[/C][C]0.00407044746636357[/C][/ROW]
[ROW][C]0.92[/C][C]0.809090681412082[/C][C]0.00335168391806899[/C][/ROW]
[ROW][C]0.93[/C][C]0.810458775891596[/C][C]0.00315488676156346[/C][/ROW]
[ROW][C]0.94[/C][C]0.812184417149472[/C][C]0.00384383621168342[/C][/ROW]
[ROW][C]0.95[/C][C]0.814589013286335[/C][C]0.00536022850215996[/C][/ROW]
[ROW][C]0.96[/C][C]0.81787033807971[/C][C]0.0071246444540117[/C][/ROW]
[ROW][C]0.97[/C][C]0.821855176871793[/C][C]0.00807328112089628[/C][/ROW]
[ROW][C]0.98[/C][C]0.825829579879295[/C][C]0.00694922841482774[/C][/ROW]
[ROW][C]0.99[/C][C]0.828753087478537[/C][C]0.00350169401179250[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39097&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39097&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
0.010.63000134891496.8244741424488e-06
0.020.6300113198177464.96757874123214e-05
0.030.6300523236594410.000196971623034724
0.040.6301724274405970.000553337001507587
0.050.6304493511119880.00122302812555224
0.060.6309802227533470.00224666747705755
0.070.6318563580625150.00355665833177898
0.080.6331319674151810.00497503039866547
0.090.6348009365697910.0062672961644565
0.10.6367928047760260.00722277739796362
0.110.6389899468142180.0077223600098267
0.120.6412586039005640.00776888087292118
0.130.6434817617082740.0074744792627023
0.140.645583214828060.00702368331297736
0.150.6475374132257760.00661656802862461
0.160.6493655782231010.00642675584671975
0.170.6511225952567580.00655708788631964
0.180.6528804311883610.00702901115245132
0.190.6547127701121090.00779926029961365
0.20.6566834016514160.0087953059204122
0.210.658838826771430.00993254067625415
0.220.6612043154594150.0111180487589926
0.230.6637824037238750.0122524679455549
0.240.6665532195741830.0132342698304563
0.250.6694765507114670.0139681044758134
0.260.6724957893307110.0143822041319994
0.270.6755436783220850.0144354423060960
0.280.6785492951352590.0141276824360443
0.290.681445250524650.0134946275745419
0.30.6841739168064650.0126027507539885
0.310.6866917305463720.0115320606093832
0.320.6889711391262310.0103663450584894
0.330.6910003601875010.0091793089636215
0.340.6927815750339010.00803167414529473
0.350.6943283523917030.00696672737293888
0.360.6956629974739370.00601792882305019
0.370.6968142457917720.0052095327656303
0.380.697815414041350.00456400365931499
0.390.6987028998626710.00410229256095475
0.40.6995148435973260.00384300688411022
0.410.7002898157617780.00379419459718647
0.420.701065514607140.00395058237005757
0.430.7018775755031660.00428912020087801
0.440.7027586498133060.00478402137407559
0.450.7037378802736430.00540899498400094
0.460.7048407945653120.00614332963772452
0.470.7060895000716090.00697388247939316
0.480.7075029458743250.00788824665677344
0.490.7090969729142540.00887812246609723
0.50.7108839273412490.00992622775864846
0.510.712871759030420.0110076455106025
0.520.7150627261756870.0120868372362524
0.530.7174520138635730.0131199719051974
0.540.720026683667640.0140530210225365
0.550.7227653586703530.0148387819327755
0.560.7256389097804890.0154348758886890
0.570.728612184162080.0158149557016160
0.580.7316465748087080.0159691385715405
0.590.7347030461674340.0159076541450366
0.60.7377451549871580.0156565140190218
0.610.7407416467880220.0152531275585777
0.620.7436683325217880.0147412691422163
0.630.7465090990117430.0141657802285374
0.640.7492560273984760.0135687304234082
0.650.7519086634404570.0129884042556659
0.660.7544725194511030.0124537492151138
0.670.7569569343669630.0119833529004512
0.680.7593725174444440.0115808661116651
0.690.7617285577612090.0112355288338377
0.70.7640309466510530.0109209996440747
0.710.7662812378920650.0106049239503500
0.720.7684773567358610.0102597309961354
0.730.7706161054925080.00987247987545119
0.740.7726970379743760.00945610247836326
0.750.7747266419497680.00905290998981113
0.760.7767213226129520.00872621834057954
0.770.7787076785973360.00854587402317782
0.780.7807191621143570.00855618295732501
0.790.7827893592654420.00875099604775811
0.80.7849434857816950.00906253943537974
0.810.7871907181413440.0093806645695963
0.820.7895200955494730.00958696180069151
0.830.791901634325130.0095914668307426
0.840.79429224680360.00935513030479228
0.850.7966439308739940.0088964498788843
0.860.7989107035791110.00827166632587067
0.870.8010517974875860.0075419124442786
0.880.8030316361760360.00674391132646649
0.890.8048207142861360.00588438134441501
0.90.806403603698740.0049723769833806
0.910.8077989668538910.00407044746636357
0.920.8090906814120820.00335168391806899
0.930.8104587758915960.00315488676156346
0.940.8121844171494720.00384383621168342
0.950.8145890132863350.00536022850215996
0.960.817870338079710.0071246444540117
0.970.8218551768717930.00807328112089628
0.980.8258295798792950.00694922841482774
0.990.8287530874785370.00350169401179250



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')