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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 computationMon, 18 Aug 2014 11:50:07 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Aug/18/t14083590575345ajwa3iirbuy.htm/, Retrieved Thu, 16 May 2024 08:19:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235704, Retrieved Thu, 16 May 2024 08:19:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Reusel Raphael
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] [Tijdreeks 2] [2014-08-18 10:50:07] [bf566d88435d8cc6ce5d208f6f8dd684] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
770
710
890
730
790
820
810
810
760
840
830
890
800
710
850
790
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810
760
860
860
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770
740
850
790
860
820
900
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660
820
850
850
760
730
770
880
890
790
930
770
680
810
870
850
820
740
800
920
970
780
880
750
620
760
930
820
900
700
810
970
820
740
930
720
580
800
910
810
890
710
830
900
830
680
980
690
530
740
930
770
870
660
770
900
830
660
1000
710
460
740
940
870
810
650
760
950
870
670
960
750
480
690
850
890

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235704&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235704&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235704&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 time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01479.65538262588136.5811151392912
0.02516.0345791986454.5334896188234
0.03556.63327131419958.0704993004062
0.04592.66932622650.8515199852699
0.05620.52919216355839.4167225266806
0.06640.29678548181528.6720913739841
0.07653.87596316209521.2382236944437
0.08663.53432844529117.5166852465157
0.09671.0882613212816.3502744050949
0.1677.6591443621116.2905940301173
0.11683.78546874533916.4513170387261
0.12689.65377736370916.4946891822256
0.13695.29613630282616.3736571895996
0.14700.70594936072816.1583601453592
0.15705.88479933191415.9380476256523
0.16710.84863114268215.7572523696055
0.17715.61673473329715.5913425380634
0.18720.19921455283115.3681512815593
0.19724.59189747266115.0204692008934
0.2728.78089806504814.53487368727
0.21732.75306233376213.9574817388576
0.22736.50566097893613.3701723861377
0.23740.05012362771512.8460681186007
0.24743.40877544586512.4192406297832
0.25746.6075248296512.0750637772473
0.26749.66903651115611.774922219276
0.27752.60977895406511.4847004717158
0.28755.44170943501911.1976817000493
0.29758.17694107183810.9379680393948
0.3760.8326194602310.7527640518868
0.31763.4335676087610.6920982171686
0.32766.01149290644910.7891239344799
0.33768.60096189362911.0474515458765
0.34771.233408721711.4352299230587
0.35773.93093451802611.8895755257444
0.36776.70159237384112.331203926582
0.37779.53736130238512.6802169248136
0.38782.415260742512.873003056421
0.39785.3012438790812.8710664228293
0.4788.15584821532812.669003601742
0.41790.94025573432312.2876890875797
0.42793.6214981896811.7698260967357
0.43796.1759669601211.1652328612194
0.44798.59096552226210.5285160331311
0.45800.8645573676329.90491609761167
0.46803.0042583285589.33437426174604
0.47805.0251646844688.84331517061961
0.48806.9479717752968.45472194937889
0.49808.7971447101248.18217780938785
0.5810.5993504089078.03316976234216
0.51812.3821779048928.00853331151184
0.52814.1731294950688.10496478706843
0.53815.9988099079798.31502434240572
0.54817.8841573594938.62928962219382
0.55819.851486141939.03560285424077
0.56821.9191165768159.51382991435534
0.57824.09951265390510.0355355624603
0.58826.39712745335610.5574262485798
0.59828.80648809413511.0292622060429
0.6831.31129262741811.3968318224699
0.61833.88529333314511.6157222895282
0.62836.49541947918611.656497317638
0.63839.10698045909411.5216132336112
0.64841.69005441709411.2453129528261
0.65844.22557203636310.8915165357666
0.66846.70941970355710.5421100261736
0.67849.15326629103210.2770708817985
0.68851.58170729227910.1539837990469
0.69854.02643317607510.1913130380077
0.7856.51904266646910.3652164291021
0.71859.08445763858610.6220977551167
0.72861.73651101048110.8989637733999
0.73864.47636046360511.1383043419987
0.74867.29337930721711.2967630258515
0.75870.1675807266411.3493426604739
0.76873.07270082069211.2806660659233
0.77875.97966325082411.0865166153476
0.78878.86080929738510.7756407285747
0.79881.69549089148610.37615342827
0.8884.4771633803129.94501564692322
0.81887.2211621287619.57006412495675
0.82889.9712904662119.36110742543166
0.83892.8024311388179.43118539611205
0.84895.8156970303279.86301874556692
0.85899.12265849077510.6642981656726
0.86902.81751822319211.7250561319182
0.87906.94278705506812.8073475816134
0.88911.46455162579313.5978804904105
0.89916.28114006505213.8435913019944
0.9921.28164502988613.5353750347936
0.91926.43997948339813.019983258658
0.92931.88634914867912.8893537537403
0.93937.8766885756713.5145726399328
0.94944.62535139531214.5236175132018
0.95952.09332526983314.9204502856199
0.96959.98691808969513.8879023281773
0.97968.26475137513811.9138893293876
0.98977.94019681090811.5393359324099
0.99990.05549673402515.1677905303149

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 479.655382625881 & 36.5811151392912 \tabularnewline
0.02 & 516.03457919864 & 54.5334896188234 \tabularnewline
0.03 & 556.633271314199 & 58.0704993004062 \tabularnewline
0.04 & 592.669326226 & 50.8515199852699 \tabularnewline
0.05 & 620.529192163558 & 39.4167225266806 \tabularnewline
0.06 & 640.296785481815 & 28.6720913739841 \tabularnewline
0.07 & 653.875963162095 & 21.2382236944437 \tabularnewline
0.08 & 663.534328445291 & 17.5166852465157 \tabularnewline
0.09 & 671.08826132128 & 16.3502744050949 \tabularnewline
0.1 & 677.65914436211 & 16.2905940301173 \tabularnewline
0.11 & 683.785468745339 & 16.4513170387261 \tabularnewline
0.12 & 689.653777363709 & 16.4946891822256 \tabularnewline
0.13 & 695.296136302826 & 16.3736571895996 \tabularnewline
0.14 & 700.705949360728 & 16.1583601453592 \tabularnewline
0.15 & 705.884799331914 & 15.9380476256523 \tabularnewline
0.16 & 710.848631142682 & 15.7572523696055 \tabularnewline
0.17 & 715.616734733297 & 15.5913425380634 \tabularnewline
0.18 & 720.199214552831 & 15.3681512815593 \tabularnewline
0.19 & 724.591897472661 & 15.0204692008934 \tabularnewline
0.2 & 728.780898065048 & 14.53487368727 \tabularnewline
0.21 & 732.753062333762 & 13.9574817388576 \tabularnewline
0.22 & 736.505660978936 & 13.3701723861377 \tabularnewline
0.23 & 740.050123627715 & 12.8460681186007 \tabularnewline
0.24 & 743.408775445865 & 12.4192406297832 \tabularnewline
0.25 & 746.60752482965 & 12.0750637772473 \tabularnewline
0.26 & 749.669036511156 & 11.774922219276 \tabularnewline
0.27 & 752.609778954065 & 11.4847004717158 \tabularnewline
0.28 & 755.441709435019 & 11.1976817000493 \tabularnewline
0.29 & 758.176941071838 & 10.9379680393948 \tabularnewline
0.3 & 760.83261946023 & 10.7527640518868 \tabularnewline
0.31 & 763.43356760876 & 10.6920982171686 \tabularnewline
0.32 & 766.011492906449 & 10.7891239344799 \tabularnewline
0.33 & 768.600961893629 & 11.0474515458765 \tabularnewline
0.34 & 771.2334087217 & 11.4352299230587 \tabularnewline
0.35 & 773.930934518026 & 11.8895755257444 \tabularnewline
0.36 & 776.701592373841 & 12.331203926582 \tabularnewline
0.37 & 779.537361302385 & 12.6802169248136 \tabularnewline
0.38 & 782.4152607425 & 12.873003056421 \tabularnewline
0.39 & 785.30124387908 & 12.8710664228293 \tabularnewline
0.4 & 788.155848215328 & 12.669003601742 \tabularnewline
0.41 & 790.940255734323 & 12.2876890875797 \tabularnewline
0.42 & 793.62149818968 & 11.7698260967357 \tabularnewline
0.43 & 796.17596696012 & 11.1652328612194 \tabularnewline
0.44 & 798.590965522262 & 10.5285160331311 \tabularnewline
0.45 & 800.864557367632 & 9.90491609761167 \tabularnewline
0.46 & 803.004258328558 & 9.33437426174604 \tabularnewline
0.47 & 805.025164684468 & 8.84331517061961 \tabularnewline
0.48 & 806.947971775296 & 8.45472194937889 \tabularnewline
0.49 & 808.797144710124 & 8.18217780938785 \tabularnewline
0.5 & 810.599350408907 & 8.03316976234216 \tabularnewline
0.51 & 812.382177904892 & 8.00853331151184 \tabularnewline
0.52 & 814.173129495068 & 8.10496478706843 \tabularnewline
0.53 & 815.998809907979 & 8.31502434240572 \tabularnewline
0.54 & 817.884157359493 & 8.62928962219382 \tabularnewline
0.55 & 819.85148614193 & 9.03560285424077 \tabularnewline
0.56 & 821.919116576815 & 9.51382991435534 \tabularnewline
0.57 & 824.099512653905 & 10.0355355624603 \tabularnewline
0.58 & 826.397127453356 & 10.5574262485798 \tabularnewline
0.59 & 828.806488094135 & 11.0292622060429 \tabularnewline
0.6 & 831.311292627418 & 11.3968318224699 \tabularnewline
0.61 & 833.885293333145 & 11.6157222895282 \tabularnewline
0.62 & 836.495419479186 & 11.656497317638 \tabularnewline
0.63 & 839.106980459094 & 11.5216132336112 \tabularnewline
0.64 & 841.690054417094 & 11.2453129528261 \tabularnewline
0.65 & 844.225572036363 & 10.8915165357666 \tabularnewline
0.66 & 846.709419703557 & 10.5421100261736 \tabularnewline
0.67 & 849.153266291032 & 10.2770708817985 \tabularnewline
0.68 & 851.581707292279 & 10.1539837990469 \tabularnewline
0.69 & 854.026433176075 & 10.1913130380077 \tabularnewline
0.7 & 856.519042666469 & 10.3652164291021 \tabularnewline
0.71 & 859.084457638586 & 10.6220977551167 \tabularnewline
0.72 & 861.736511010481 & 10.8989637733999 \tabularnewline
0.73 & 864.476360463605 & 11.1383043419987 \tabularnewline
0.74 & 867.293379307217 & 11.2967630258515 \tabularnewline
0.75 & 870.16758072664 & 11.3493426604739 \tabularnewline
0.76 & 873.072700820692 & 11.2806660659233 \tabularnewline
0.77 & 875.979663250824 & 11.0865166153476 \tabularnewline
0.78 & 878.860809297385 & 10.7756407285747 \tabularnewline
0.79 & 881.695490891486 & 10.37615342827 \tabularnewline
0.8 & 884.477163380312 & 9.94501564692322 \tabularnewline
0.81 & 887.221162128761 & 9.57006412495675 \tabularnewline
0.82 & 889.971290466211 & 9.36110742543166 \tabularnewline
0.83 & 892.802431138817 & 9.43118539611205 \tabularnewline
0.84 & 895.815697030327 & 9.86301874556692 \tabularnewline
0.85 & 899.122658490775 & 10.6642981656726 \tabularnewline
0.86 & 902.817518223192 & 11.7250561319182 \tabularnewline
0.87 & 906.942787055068 & 12.8073475816134 \tabularnewline
0.88 & 911.464551625793 & 13.5978804904105 \tabularnewline
0.89 & 916.281140065052 & 13.8435913019944 \tabularnewline
0.9 & 921.281645029886 & 13.5353750347936 \tabularnewline
0.91 & 926.439979483398 & 13.019983258658 \tabularnewline
0.92 & 931.886349148679 & 12.8893537537403 \tabularnewline
0.93 & 937.87668857567 & 13.5145726399328 \tabularnewline
0.94 & 944.625351395312 & 14.5236175132018 \tabularnewline
0.95 & 952.093325269833 & 14.9204502856199 \tabularnewline
0.96 & 959.986918089695 & 13.8879023281773 \tabularnewline
0.97 & 968.264751375138 & 11.9138893293876 \tabularnewline
0.98 & 977.940196810908 & 11.5393359324099 \tabularnewline
0.99 & 990.055496734025 & 15.1677905303149 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235704&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]479.655382625881[/C][C]36.5811151392912[/C][/ROW]
[ROW][C]0.02[/C][C]516.03457919864[/C][C]54.5334896188234[/C][/ROW]
[ROW][C]0.03[/C][C]556.633271314199[/C][C]58.0704993004062[/C][/ROW]
[ROW][C]0.04[/C][C]592.669326226[/C][C]50.8515199852699[/C][/ROW]
[ROW][C]0.05[/C][C]620.529192163558[/C][C]39.4167225266806[/C][/ROW]
[ROW][C]0.06[/C][C]640.296785481815[/C][C]28.6720913739841[/C][/ROW]
[ROW][C]0.07[/C][C]653.875963162095[/C][C]21.2382236944437[/C][/ROW]
[ROW][C]0.08[/C][C]663.534328445291[/C][C]17.5166852465157[/C][/ROW]
[ROW][C]0.09[/C][C]671.08826132128[/C][C]16.3502744050949[/C][/ROW]
[ROW][C]0.1[/C][C]677.65914436211[/C][C]16.2905940301173[/C][/ROW]
[ROW][C]0.11[/C][C]683.785468745339[/C][C]16.4513170387261[/C][/ROW]
[ROW][C]0.12[/C][C]689.653777363709[/C][C]16.4946891822256[/C][/ROW]
[ROW][C]0.13[/C][C]695.296136302826[/C][C]16.3736571895996[/C][/ROW]
[ROW][C]0.14[/C][C]700.705949360728[/C][C]16.1583601453592[/C][/ROW]
[ROW][C]0.15[/C][C]705.884799331914[/C][C]15.9380476256523[/C][/ROW]
[ROW][C]0.16[/C][C]710.848631142682[/C][C]15.7572523696055[/C][/ROW]
[ROW][C]0.17[/C][C]715.616734733297[/C][C]15.5913425380634[/C][/ROW]
[ROW][C]0.18[/C][C]720.199214552831[/C][C]15.3681512815593[/C][/ROW]
[ROW][C]0.19[/C][C]724.591897472661[/C][C]15.0204692008934[/C][/ROW]
[ROW][C]0.2[/C][C]728.780898065048[/C][C]14.53487368727[/C][/ROW]
[ROW][C]0.21[/C][C]732.753062333762[/C][C]13.9574817388576[/C][/ROW]
[ROW][C]0.22[/C][C]736.505660978936[/C][C]13.3701723861377[/C][/ROW]
[ROW][C]0.23[/C][C]740.050123627715[/C][C]12.8460681186007[/C][/ROW]
[ROW][C]0.24[/C][C]743.408775445865[/C][C]12.4192406297832[/C][/ROW]
[ROW][C]0.25[/C][C]746.60752482965[/C][C]12.0750637772473[/C][/ROW]
[ROW][C]0.26[/C][C]749.669036511156[/C][C]11.774922219276[/C][/ROW]
[ROW][C]0.27[/C][C]752.609778954065[/C][C]11.4847004717158[/C][/ROW]
[ROW][C]0.28[/C][C]755.441709435019[/C][C]11.1976817000493[/C][/ROW]
[ROW][C]0.29[/C][C]758.176941071838[/C][C]10.9379680393948[/C][/ROW]
[ROW][C]0.3[/C][C]760.83261946023[/C][C]10.7527640518868[/C][/ROW]
[ROW][C]0.31[/C][C]763.43356760876[/C][C]10.6920982171686[/C][/ROW]
[ROW][C]0.32[/C][C]766.011492906449[/C][C]10.7891239344799[/C][/ROW]
[ROW][C]0.33[/C][C]768.600961893629[/C][C]11.0474515458765[/C][/ROW]
[ROW][C]0.34[/C][C]771.2334087217[/C][C]11.4352299230587[/C][/ROW]
[ROW][C]0.35[/C][C]773.930934518026[/C][C]11.8895755257444[/C][/ROW]
[ROW][C]0.36[/C][C]776.701592373841[/C][C]12.331203926582[/C][/ROW]
[ROW][C]0.37[/C][C]779.537361302385[/C][C]12.6802169248136[/C][/ROW]
[ROW][C]0.38[/C][C]782.4152607425[/C][C]12.873003056421[/C][/ROW]
[ROW][C]0.39[/C][C]785.30124387908[/C][C]12.8710664228293[/C][/ROW]
[ROW][C]0.4[/C][C]788.155848215328[/C][C]12.669003601742[/C][/ROW]
[ROW][C]0.41[/C][C]790.940255734323[/C][C]12.2876890875797[/C][/ROW]
[ROW][C]0.42[/C][C]793.62149818968[/C][C]11.7698260967357[/C][/ROW]
[ROW][C]0.43[/C][C]796.17596696012[/C][C]11.1652328612194[/C][/ROW]
[ROW][C]0.44[/C][C]798.590965522262[/C][C]10.5285160331311[/C][/ROW]
[ROW][C]0.45[/C][C]800.864557367632[/C][C]9.90491609761167[/C][/ROW]
[ROW][C]0.46[/C][C]803.004258328558[/C][C]9.33437426174604[/C][/ROW]
[ROW][C]0.47[/C][C]805.025164684468[/C][C]8.84331517061961[/C][/ROW]
[ROW][C]0.48[/C][C]806.947971775296[/C][C]8.45472194937889[/C][/ROW]
[ROW][C]0.49[/C][C]808.797144710124[/C][C]8.18217780938785[/C][/ROW]
[ROW][C]0.5[/C][C]810.599350408907[/C][C]8.03316976234216[/C][/ROW]
[ROW][C]0.51[/C][C]812.382177904892[/C][C]8.00853331151184[/C][/ROW]
[ROW][C]0.52[/C][C]814.173129495068[/C][C]8.10496478706843[/C][/ROW]
[ROW][C]0.53[/C][C]815.998809907979[/C][C]8.31502434240572[/C][/ROW]
[ROW][C]0.54[/C][C]817.884157359493[/C][C]8.62928962219382[/C][/ROW]
[ROW][C]0.55[/C][C]819.85148614193[/C][C]9.03560285424077[/C][/ROW]
[ROW][C]0.56[/C][C]821.919116576815[/C][C]9.51382991435534[/C][/ROW]
[ROW][C]0.57[/C][C]824.099512653905[/C][C]10.0355355624603[/C][/ROW]
[ROW][C]0.58[/C][C]826.397127453356[/C][C]10.5574262485798[/C][/ROW]
[ROW][C]0.59[/C][C]828.806488094135[/C][C]11.0292622060429[/C][/ROW]
[ROW][C]0.6[/C][C]831.311292627418[/C][C]11.3968318224699[/C][/ROW]
[ROW][C]0.61[/C][C]833.885293333145[/C][C]11.6157222895282[/C][/ROW]
[ROW][C]0.62[/C][C]836.495419479186[/C][C]11.656497317638[/C][/ROW]
[ROW][C]0.63[/C][C]839.106980459094[/C][C]11.5216132336112[/C][/ROW]
[ROW][C]0.64[/C][C]841.690054417094[/C][C]11.2453129528261[/C][/ROW]
[ROW][C]0.65[/C][C]844.225572036363[/C][C]10.8915165357666[/C][/ROW]
[ROW][C]0.66[/C][C]846.709419703557[/C][C]10.5421100261736[/C][/ROW]
[ROW][C]0.67[/C][C]849.153266291032[/C][C]10.2770708817985[/C][/ROW]
[ROW][C]0.68[/C][C]851.581707292279[/C][C]10.1539837990469[/C][/ROW]
[ROW][C]0.69[/C][C]854.026433176075[/C][C]10.1913130380077[/C][/ROW]
[ROW][C]0.7[/C][C]856.519042666469[/C][C]10.3652164291021[/C][/ROW]
[ROW][C]0.71[/C][C]859.084457638586[/C][C]10.6220977551167[/C][/ROW]
[ROW][C]0.72[/C][C]861.736511010481[/C][C]10.8989637733999[/C][/ROW]
[ROW][C]0.73[/C][C]864.476360463605[/C][C]11.1383043419987[/C][/ROW]
[ROW][C]0.74[/C][C]867.293379307217[/C][C]11.2967630258515[/C][/ROW]
[ROW][C]0.75[/C][C]870.16758072664[/C][C]11.3493426604739[/C][/ROW]
[ROW][C]0.76[/C][C]873.072700820692[/C][C]11.2806660659233[/C][/ROW]
[ROW][C]0.77[/C][C]875.979663250824[/C][C]11.0865166153476[/C][/ROW]
[ROW][C]0.78[/C][C]878.860809297385[/C][C]10.7756407285747[/C][/ROW]
[ROW][C]0.79[/C][C]881.695490891486[/C][C]10.37615342827[/C][/ROW]
[ROW][C]0.8[/C][C]884.477163380312[/C][C]9.94501564692322[/C][/ROW]
[ROW][C]0.81[/C][C]887.221162128761[/C][C]9.57006412495675[/C][/ROW]
[ROW][C]0.82[/C][C]889.971290466211[/C][C]9.36110742543166[/C][/ROW]
[ROW][C]0.83[/C][C]892.802431138817[/C][C]9.43118539611205[/C][/ROW]
[ROW][C]0.84[/C][C]895.815697030327[/C][C]9.86301874556692[/C][/ROW]
[ROW][C]0.85[/C][C]899.122658490775[/C][C]10.6642981656726[/C][/ROW]
[ROW][C]0.86[/C][C]902.817518223192[/C][C]11.7250561319182[/C][/ROW]
[ROW][C]0.87[/C][C]906.942787055068[/C][C]12.8073475816134[/C][/ROW]
[ROW][C]0.88[/C][C]911.464551625793[/C][C]13.5978804904105[/C][/ROW]
[ROW][C]0.89[/C][C]916.281140065052[/C][C]13.8435913019944[/C][/ROW]
[ROW][C]0.9[/C][C]921.281645029886[/C][C]13.5353750347936[/C][/ROW]
[ROW][C]0.91[/C][C]926.439979483398[/C][C]13.019983258658[/C][/ROW]
[ROW][C]0.92[/C][C]931.886349148679[/C][C]12.8893537537403[/C][/ROW]
[ROW][C]0.93[/C][C]937.87668857567[/C][C]13.5145726399328[/C][/ROW]
[ROW][C]0.94[/C][C]944.625351395312[/C][C]14.5236175132018[/C][/ROW]
[ROW][C]0.95[/C][C]952.093325269833[/C][C]14.9204502856199[/C][/ROW]
[ROW][C]0.96[/C][C]959.986918089695[/C][C]13.8879023281773[/C][/ROW]
[ROW][C]0.97[/C][C]968.264751375138[/C][C]11.9138893293876[/C][/ROW]
[ROW][C]0.98[/C][C]977.940196810908[/C][C]11.5393359324099[/C][/ROW]
[ROW][C]0.99[/C][C]990.055496734025[/C][C]15.1677905303149[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235704&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235704&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
0.01479.65538262588136.5811151392912
0.02516.0345791986454.5334896188234
0.03556.63327131419958.0704993004062
0.04592.66932622650.8515199852699
0.05620.52919216355839.4167225266806
0.06640.29678548181528.6720913739841
0.07653.87596316209521.2382236944437
0.08663.53432844529117.5166852465157
0.09671.0882613212816.3502744050949
0.1677.6591443621116.2905940301173
0.11683.78546874533916.4513170387261
0.12689.65377736370916.4946891822256
0.13695.29613630282616.3736571895996
0.14700.70594936072816.1583601453592
0.15705.88479933191415.9380476256523
0.16710.84863114268215.7572523696055
0.17715.61673473329715.5913425380634
0.18720.19921455283115.3681512815593
0.19724.59189747266115.0204692008934
0.2728.78089806504814.53487368727
0.21732.75306233376213.9574817388576
0.22736.50566097893613.3701723861377
0.23740.05012362771512.8460681186007
0.24743.40877544586512.4192406297832
0.25746.6075248296512.0750637772473
0.26749.66903651115611.774922219276
0.27752.60977895406511.4847004717158
0.28755.44170943501911.1976817000493
0.29758.17694107183810.9379680393948
0.3760.8326194602310.7527640518868
0.31763.4335676087610.6920982171686
0.32766.01149290644910.7891239344799
0.33768.60096189362911.0474515458765
0.34771.233408721711.4352299230587
0.35773.93093451802611.8895755257444
0.36776.70159237384112.331203926582
0.37779.53736130238512.6802169248136
0.38782.415260742512.873003056421
0.39785.3012438790812.8710664228293
0.4788.15584821532812.669003601742
0.41790.94025573432312.2876890875797
0.42793.6214981896811.7698260967357
0.43796.1759669601211.1652328612194
0.44798.59096552226210.5285160331311
0.45800.8645573676329.90491609761167
0.46803.0042583285589.33437426174604
0.47805.0251646844688.84331517061961
0.48806.9479717752968.45472194937889
0.49808.7971447101248.18217780938785
0.5810.5993504089078.03316976234216
0.51812.3821779048928.00853331151184
0.52814.1731294950688.10496478706843
0.53815.9988099079798.31502434240572
0.54817.8841573594938.62928962219382
0.55819.851486141939.03560285424077
0.56821.9191165768159.51382991435534
0.57824.09951265390510.0355355624603
0.58826.39712745335610.5574262485798
0.59828.80648809413511.0292622060429
0.6831.31129262741811.3968318224699
0.61833.88529333314511.6157222895282
0.62836.49541947918611.656497317638
0.63839.10698045909411.5216132336112
0.64841.69005441709411.2453129528261
0.65844.22557203636310.8915165357666
0.66846.70941970355710.5421100261736
0.67849.15326629103210.2770708817985
0.68851.58170729227910.1539837990469
0.69854.02643317607510.1913130380077
0.7856.51904266646910.3652164291021
0.71859.08445763858610.6220977551167
0.72861.73651101048110.8989637733999
0.73864.47636046360511.1383043419987
0.74867.29337930721711.2967630258515
0.75870.1675807266411.3493426604739
0.76873.07270082069211.2806660659233
0.77875.97966325082411.0865166153476
0.78878.86080929738510.7756407285747
0.79881.69549089148610.37615342827
0.8884.4771633803129.94501564692322
0.81887.2211621287619.57006412495675
0.82889.9712904662119.36110742543166
0.83892.8024311388179.43118539611205
0.84895.8156970303279.86301874556692
0.85899.12265849077510.6642981656726
0.86902.81751822319211.7250561319182
0.87906.94278705506812.8073475816134
0.88911.46455162579313.5978804904105
0.89916.28114006505213.8435913019944
0.9921.28164502988613.5353750347936
0.91926.43997948339813.019983258658
0.92931.88634914867912.8893537537403
0.93937.8766885756713.5145726399328
0.94944.62535139531214.5236175132018
0.95952.09332526983314.9204502856199
0.96959.98691808969513.8879023281773
0.97968.26475137513811.9138893293876
0.98977.94019681090811.5393359324099
0.99990.05549673402515.1677905303149


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')