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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 computationThu, 12 Feb 2015 16:17:49 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/12/t1423757975gmgsnr2nkymvfao.htm/, Retrieved Tue, 21 May 2024 14:55:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277196, Retrieved Tue, 21 May 2024 14:55:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact54

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [Kwartielen oefeni...] [2015-02-12 15:04:36] [90a3f08f7d90706398c741eba4fd645d]
-    D  [Quartiles] [Opdracht 3 oefeni...] [2015-02-12 15:34:03] [90a3f08f7d90706398c741eba4fd645d]
- RMP       [Harrell-Davis Quantiles] [Opdracht 4 oefeni...] [2015-02-12 16:17:49] [2dcc5595e1714d1f573b61116e4d8205] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
790
766
1040
949
758
1023
921
775
907
835
871
836
789
811
996
778
603
990
735
800
706
766
870
647
726
784
884
696
893
674
703
799
793
799
1022
758
1021
944
915
864
1022
891
1087
822
890
1092
967
833
1104
1063
1103
1039
1185
1047
1155
878
879
1133
920
943
938
900
781
1040
792
653
866
679
799
760
697
750

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'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=277196&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=277196&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277196&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01615.05258015977535.0558206907291
0.02631.51563612697225.7759481156028
0.03646.58186823561320.5748067558461
0.04658.66567668923519.0438631220095
0.05668.41448759345618.6777754940556
0.06676.71237437147518.3494570329389
0.07684.10706716339718.0782181994726
0.08690.91084366028718.1635812398292
0.09697.35080351940118.7821408661906
0.1703.61558267427419.8643573270805
0.11709.84030853350721.137516756939
0.12716.08449887070322.2547449456395
0.13722.32820543484422.9242805314003
0.14728.48929864847422.9804517911417
0.15734.45396792709522.4050633902097
0.16740.10948138858721.3080256323008
0.17745.37000935565819.8761661051749
0.18750.1905250258418.3212737752658
0.19754.56834637823716.8305287593291
0.2758.53525187228415.5353659545574
0.21762.14464873535614.4965653256861
0.22765.45814776901813.7116418067698
0.23768.53470144521613.1311152670424
0.24771.42388140389712.6919301348816
0.25774.16344782659812.3366829811663
0.26776.78039349301112.023137968849
0.27779.29419606712711.7377022656194
0.28781.72099098211511.4881865297428
0.29784.07762009651811.3012791534916
0.3786.384854942211.2186489847526
0.31788.66941987193311.2883558939213
0.32790.96469101502811.5579973647826
0.33793.31011353287112.0656104467188
0.34795.74948408676812.8331313886832
0.35798.32831740089713.8648144313544
0.36801.09057658402115.1356118622497
0.37804.07510208084416.6025267587525
0.38807.3121152729818.2016877663991
0.39810.82018456428819.8569184570665
0.4814.60401115561321.4824083300416
0.41818.65331452128722.993201162567
0.42822.94298114766824.3073460543762
0.43827.43450095284225.3563260881195
0.44832.07857470910726.0908232088612
0.45836.81865208799526.4791537648268
0.46841.59506779747226.5163165036347
0.47846.34939047027326.2197532817194
0.48851.02858785123725.6295557719701
0.49855.58864101660324.8060304594711
0.5859.997305744523.8216424072609
0.51864.23581397815722.7581333021008
0.52868.29942266203921.6987550017366
0.53872.19683808755420.72015392356
0.54875.94865660719919.8902059375597
0.55879.58505354957219.2598787186455
0.56883.14301177791618.8591791723976
0.57886.66340582649118.6999947368648
0.58890.18824881270418.776534342264
0.59893.75837262129319.0679438435682
0.6897.41175255795819.5454934680789
0.61901.18260864284720.1769793364183
0.62905.10131689801820.931648632806
0.63909.19504480680121.7895457628998
0.64913.4888892756822.7374005724365
0.65918.00715630681823.772705741291
0.66922.77430592749824.9019891443641
0.67927.81503291424826.1320674625928
0.68933.15300768631927.4652066699884
0.69938.80799726907528.8826683851062
0.7944.79143019403530.33651660409
0.71951.10092295403231.7482299893092
0.72957.71475758821733.0051742749625
0.73964.58765619258533.9762113184481
0.74971.64929504084334.5243346495896
0.75978.80673556783734.5367063099896
0.76985.95131175105433.9454125157877
0.77992.96961731816832.7461038487896
0.78999.75730515762131.0091042707304
0.791006.2337088490628.8775973605568
0.81012.3550177517626.5501774287286
0.811018.1239098967624.262567919978
0.821023.5940032317322.259626932496
0.831028.8679576540720.7647257763755
0.841034.0883864760419.9535314338967
0.851039.4210818220119.9032844876941
0.861045.0309790223420.556346452331
0.871051.0534715821921.699885856037
0.881057.5673711579522.993521682148
0.891064.5800195429624.0452748179453
0.91072.0372021817724.5273336323207
0.911079.8668025476724.3116076962424
0.921088.0525602262323.5905446729347
0.931096.714383578322.9055678422463
0.941106.1546585389622.9452304207645
0.951116.832360018424.0224636446235
0.961129.2474784411125.6263757691888
0.971143.6957456437426.7716178708074
0.981159.7094477628827.1822630646946
0.991175.0095755146828.014621109389

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 615.052580159775 & 35.0558206907291 \tabularnewline
0.02 & 631.515636126972 & 25.7759481156028 \tabularnewline
0.03 & 646.581868235613 & 20.5748067558461 \tabularnewline
0.04 & 658.665676689235 & 19.0438631220095 \tabularnewline
0.05 & 668.414487593456 & 18.6777754940556 \tabularnewline
0.06 & 676.712374371475 & 18.3494570329389 \tabularnewline
0.07 & 684.107067163397 & 18.0782181994726 \tabularnewline
0.08 & 690.910843660287 & 18.1635812398292 \tabularnewline
0.09 & 697.350803519401 & 18.7821408661906 \tabularnewline
0.1 & 703.615582674274 & 19.8643573270805 \tabularnewline
0.11 & 709.840308533507 & 21.137516756939 \tabularnewline
0.12 & 716.084498870703 & 22.2547449456395 \tabularnewline
0.13 & 722.328205434844 & 22.9242805314003 \tabularnewline
0.14 & 728.489298648474 & 22.9804517911417 \tabularnewline
0.15 & 734.453967927095 & 22.4050633902097 \tabularnewline
0.16 & 740.109481388587 & 21.3080256323008 \tabularnewline
0.17 & 745.370009355658 & 19.8761661051749 \tabularnewline
0.18 & 750.19052502584 & 18.3212737752658 \tabularnewline
0.19 & 754.568346378237 & 16.8305287593291 \tabularnewline
0.2 & 758.535251872284 & 15.5353659545574 \tabularnewline
0.21 & 762.144648735356 & 14.4965653256861 \tabularnewline
0.22 & 765.458147769018 & 13.7116418067698 \tabularnewline
0.23 & 768.534701445216 & 13.1311152670424 \tabularnewline
0.24 & 771.423881403897 & 12.6919301348816 \tabularnewline
0.25 & 774.163447826598 & 12.3366829811663 \tabularnewline
0.26 & 776.780393493011 & 12.023137968849 \tabularnewline
0.27 & 779.294196067127 & 11.7377022656194 \tabularnewline
0.28 & 781.720990982115 & 11.4881865297428 \tabularnewline
0.29 & 784.077620096518 & 11.3012791534916 \tabularnewline
0.3 & 786.3848549422 & 11.2186489847526 \tabularnewline
0.31 & 788.669419871933 & 11.2883558939213 \tabularnewline
0.32 & 790.964691015028 & 11.5579973647826 \tabularnewline
0.33 & 793.310113532871 & 12.0656104467188 \tabularnewline
0.34 & 795.749484086768 & 12.8331313886832 \tabularnewline
0.35 & 798.328317400897 & 13.8648144313544 \tabularnewline
0.36 & 801.090576584021 & 15.1356118622497 \tabularnewline
0.37 & 804.075102080844 & 16.6025267587525 \tabularnewline
0.38 & 807.31211527298 & 18.2016877663991 \tabularnewline
0.39 & 810.820184564288 & 19.8569184570665 \tabularnewline
0.4 & 814.604011155613 & 21.4824083300416 \tabularnewline
0.41 & 818.653314521287 & 22.993201162567 \tabularnewline
0.42 & 822.942981147668 & 24.3073460543762 \tabularnewline
0.43 & 827.434500952842 & 25.3563260881195 \tabularnewline
0.44 & 832.078574709107 & 26.0908232088612 \tabularnewline
0.45 & 836.818652087995 & 26.4791537648268 \tabularnewline
0.46 & 841.595067797472 & 26.5163165036347 \tabularnewline
0.47 & 846.349390470273 & 26.2197532817194 \tabularnewline
0.48 & 851.028587851237 & 25.6295557719701 \tabularnewline
0.49 & 855.588641016603 & 24.8060304594711 \tabularnewline
0.5 & 859.9973057445 & 23.8216424072609 \tabularnewline
0.51 & 864.235813978157 & 22.7581333021008 \tabularnewline
0.52 & 868.299422662039 & 21.6987550017366 \tabularnewline
0.53 & 872.196838087554 & 20.72015392356 \tabularnewline
0.54 & 875.948656607199 & 19.8902059375597 \tabularnewline
0.55 & 879.585053549572 & 19.2598787186455 \tabularnewline
0.56 & 883.143011777916 & 18.8591791723976 \tabularnewline
0.57 & 886.663405826491 & 18.6999947368648 \tabularnewline
0.58 & 890.188248812704 & 18.776534342264 \tabularnewline
0.59 & 893.758372621293 & 19.0679438435682 \tabularnewline
0.6 & 897.411752557958 & 19.5454934680789 \tabularnewline
0.61 & 901.182608642847 & 20.1769793364183 \tabularnewline
0.62 & 905.101316898018 & 20.931648632806 \tabularnewline
0.63 & 909.195044806801 & 21.7895457628998 \tabularnewline
0.64 & 913.48888927568 & 22.7374005724365 \tabularnewline
0.65 & 918.007156306818 & 23.772705741291 \tabularnewline
0.66 & 922.774305927498 & 24.9019891443641 \tabularnewline
0.67 & 927.815032914248 & 26.1320674625928 \tabularnewline
0.68 & 933.153007686319 & 27.4652066699884 \tabularnewline
0.69 & 938.807997269075 & 28.8826683851062 \tabularnewline
0.7 & 944.791430194035 & 30.33651660409 \tabularnewline
0.71 & 951.100922954032 & 31.7482299893092 \tabularnewline
0.72 & 957.714757588217 & 33.0051742749625 \tabularnewline
0.73 & 964.587656192585 & 33.9762113184481 \tabularnewline
0.74 & 971.649295040843 & 34.5243346495896 \tabularnewline
0.75 & 978.806735567837 & 34.5367063099896 \tabularnewline
0.76 & 985.951311751054 & 33.9454125157877 \tabularnewline
0.77 & 992.969617318168 & 32.7461038487896 \tabularnewline
0.78 & 999.757305157621 & 31.0091042707304 \tabularnewline
0.79 & 1006.23370884906 & 28.8775973605568 \tabularnewline
0.8 & 1012.35501775176 & 26.5501774287286 \tabularnewline
0.81 & 1018.12390989676 & 24.262567919978 \tabularnewline
0.82 & 1023.59400323173 & 22.259626932496 \tabularnewline
0.83 & 1028.86795765407 & 20.7647257763755 \tabularnewline
0.84 & 1034.08838647604 & 19.9535314338967 \tabularnewline
0.85 & 1039.42108182201 & 19.9032844876941 \tabularnewline
0.86 & 1045.03097902234 & 20.556346452331 \tabularnewline
0.87 & 1051.05347158219 & 21.699885856037 \tabularnewline
0.88 & 1057.56737115795 & 22.993521682148 \tabularnewline
0.89 & 1064.58001954296 & 24.0452748179453 \tabularnewline
0.9 & 1072.03720218177 & 24.5273336323207 \tabularnewline
0.91 & 1079.86680254767 & 24.3116076962424 \tabularnewline
0.92 & 1088.05256022623 & 23.5905446729347 \tabularnewline
0.93 & 1096.7143835783 & 22.9055678422463 \tabularnewline
0.94 & 1106.15465853896 & 22.9452304207645 \tabularnewline
0.95 & 1116.8323600184 & 24.0224636446235 \tabularnewline
0.96 & 1129.24747844111 & 25.6263757691888 \tabularnewline
0.97 & 1143.69574564374 & 26.7716178708074 \tabularnewline
0.98 & 1159.70944776288 & 27.1822630646946 \tabularnewline
0.99 & 1175.00957551468 & 28.014621109389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277196&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]615.052580159775[/C][C]35.0558206907291[/C][/ROW]
[ROW][C]0.02[/C][C]631.515636126972[/C][C]25.7759481156028[/C][/ROW]
[ROW][C]0.03[/C][C]646.581868235613[/C][C]20.5748067558461[/C][/ROW]
[ROW][C]0.04[/C][C]658.665676689235[/C][C]19.0438631220095[/C][/ROW]
[ROW][C]0.05[/C][C]668.414487593456[/C][C]18.6777754940556[/C][/ROW]
[ROW][C]0.06[/C][C]676.712374371475[/C][C]18.3494570329389[/C][/ROW]
[ROW][C]0.07[/C][C]684.107067163397[/C][C]18.0782181994726[/C][/ROW]
[ROW][C]0.08[/C][C]690.910843660287[/C][C]18.1635812398292[/C][/ROW]
[ROW][C]0.09[/C][C]697.350803519401[/C][C]18.7821408661906[/C][/ROW]
[ROW][C]0.1[/C][C]703.615582674274[/C][C]19.8643573270805[/C][/ROW]
[ROW][C]0.11[/C][C]709.840308533507[/C][C]21.137516756939[/C][/ROW]
[ROW][C]0.12[/C][C]716.084498870703[/C][C]22.2547449456395[/C][/ROW]
[ROW][C]0.13[/C][C]722.328205434844[/C][C]22.9242805314003[/C][/ROW]
[ROW][C]0.14[/C][C]728.489298648474[/C][C]22.9804517911417[/C][/ROW]
[ROW][C]0.15[/C][C]734.453967927095[/C][C]22.4050633902097[/C][/ROW]
[ROW][C]0.16[/C][C]740.109481388587[/C][C]21.3080256323008[/C][/ROW]
[ROW][C]0.17[/C][C]745.370009355658[/C][C]19.8761661051749[/C][/ROW]
[ROW][C]0.18[/C][C]750.19052502584[/C][C]18.3212737752658[/C][/ROW]
[ROW][C]0.19[/C][C]754.568346378237[/C][C]16.8305287593291[/C][/ROW]
[ROW][C]0.2[/C][C]758.535251872284[/C][C]15.5353659545574[/C][/ROW]
[ROW][C]0.21[/C][C]762.144648735356[/C][C]14.4965653256861[/C][/ROW]
[ROW][C]0.22[/C][C]765.458147769018[/C][C]13.7116418067698[/C][/ROW]
[ROW][C]0.23[/C][C]768.534701445216[/C][C]13.1311152670424[/C][/ROW]
[ROW][C]0.24[/C][C]771.423881403897[/C][C]12.6919301348816[/C][/ROW]
[ROW][C]0.25[/C][C]774.163447826598[/C][C]12.3366829811663[/C][/ROW]
[ROW][C]0.26[/C][C]776.780393493011[/C][C]12.023137968849[/C][/ROW]
[ROW][C]0.27[/C][C]779.294196067127[/C][C]11.7377022656194[/C][/ROW]
[ROW][C]0.28[/C][C]781.720990982115[/C][C]11.4881865297428[/C][/ROW]
[ROW][C]0.29[/C][C]784.077620096518[/C][C]11.3012791534916[/C][/ROW]
[ROW][C]0.3[/C][C]786.3848549422[/C][C]11.2186489847526[/C][/ROW]
[ROW][C]0.31[/C][C]788.669419871933[/C][C]11.2883558939213[/C][/ROW]
[ROW][C]0.32[/C][C]790.964691015028[/C][C]11.5579973647826[/C][/ROW]
[ROW][C]0.33[/C][C]793.310113532871[/C][C]12.0656104467188[/C][/ROW]
[ROW][C]0.34[/C][C]795.749484086768[/C][C]12.8331313886832[/C][/ROW]
[ROW][C]0.35[/C][C]798.328317400897[/C][C]13.8648144313544[/C][/ROW]
[ROW][C]0.36[/C][C]801.090576584021[/C][C]15.1356118622497[/C][/ROW]
[ROW][C]0.37[/C][C]804.075102080844[/C][C]16.6025267587525[/C][/ROW]
[ROW][C]0.38[/C][C]807.31211527298[/C][C]18.2016877663991[/C][/ROW]
[ROW][C]0.39[/C][C]810.820184564288[/C][C]19.8569184570665[/C][/ROW]
[ROW][C]0.4[/C][C]814.604011155613[/C][C]21.4824083300416[/C][/ROW]
[ROW][C]0.41[/C][C]818.653314521287[/C][C]22.993201162567[/C][/ROW]
[ROW][C]0.42[/C][C]822.942981147668[/C][C]24.3073460543762[/C][/ROW]
[ROW][C]0.43[/C][C]827.434500952842[/C][C]25.3563260881195[/C][/ROW]
[ROW][C]0.44[/C][C]832.078574709107[/C][C]26.0908232088612[/C][/ROW]
[ROW][C]0.45[/C][C]836.818652087995[/C][C]26.4791537648268[/C][/ROW]
[ROW][C]0.46[/C][C]841.595067797472[/C][C]26.5163165036347[/C][/ROW]
[ROW][C]0.47[/C][C]846.349390470273[/C][C]26.2197532817194[/C][/ROW]
[ROW][C]0.48[/C][C]851.028587851237[/C][C]25.6295557719701[/C][/ROW]
[ROW][C]0.49[/C][C]855.588641016603[/C][C]24.8060304594711[/C][/ROW]
[ROW][C]0.5[/C][C]859.9973057445[/C][C]23.8216424072609[/C][/ROW]
[ROW][C]0.51[/C][C]864.235813978157[/C][C]22.7581333021008[/C][/ROW]
[ROW][C]0.52[/C][C]868.299422662039[/C][C]21.6987550017366[/C][/ROW]
[ROW][C]0.53[/C][C]872.196838087554[/C][C]20.72015392356[/C][/ROW]
[ROW][C]0.54[/C][C]875.948656607199[/C][C]19.8902059375597[/C][/ROW]
[ROW][C]0.55[/C][C]879.585053549572[/C][C]19.2598787186455[/C][/ROW]
[ROW][C]0.56[/C][C]883.143011777916[/C][C]18.8591791723976[/C][/ROW]
[ROW][C]0.57[/C][C]886.663405826491[/C][C]18.6999947368648[/C][/ROW]
[ROW][C]0.58[/C][C]890.188248812704[/C][C]18.776534342264[/C][/ROW]
[ROW][C]0.59[/C][C]893.758372621293[/C][C]19.0679438435682[/C][/ROW]
[ROW][C]0.6[/C][C]897.411752557958[/C][C]19.5454934680789[/C][/ROW]
[ROW][C]0.61[/C][C]901.182608642847[/C][C]20.1769793364183[/C][/ROW]
[ROW][C]0.62[/C][C]905.101316898018[/C][C]20.931648632806[/C][/ROW]
[ROW][C]0.63[/C][C]909.195044806801[/C][C]21.7895457628998[/C][/ROW]
[ROW][C]0.64[/C][C]913.48888927568[/C][C]22.7374005724365[/C][/ROW]
[ROW][C]0.65[/C][C]918.007156306818[/C][C]23.772705741291[/C][/ROW]
[ROW][C]0.66[/C][C]922.774305927498[/C][C]24.9019891443641[/C][/ROW]
[ROW][C]0.67[/C][C]927.815032914248[/C][C]26.1320674625928[/C][/ROW]
[ROW][C]0.68[/C][C]933.153007686319[/C][C]27.4652066699884[/C][/ROW]
[ROW][C]0.69[/C][C]938.807997269075[/C][C]28.8826683851062[/C][/ROW]
[ROW][C]0.7[/C][C]944.791430194035[/C][C]30.33651660409[/C][/ROW]
[ROW][C]0.71[/C][C]951.100922954032[/C][C]31.7482299893092[/C][/ROW]
[ROW][C]0.72[/C][C]957.714757588217[/C][C]33.0051742749625[/C][/ROW]
[ROW][C]0.73[/C][C]964.587656192585[/C][C]33.9762113184481[/C][/ROW]
[ROW][C]0.74[/C][C]971.649295040843[/C][C]34.5243346495896[/C][/ROW]
[ROW][C]0.75[/C][C]978.806735567837[/C][C]34.5367063099896[/C][/ROW]
[ROW][C]0.76[/C][C]985.951311751054[/C][C]33.9454125157877[/C][/ROW]
[ROW][C]0.77[/C][C]992.969617318168[/C][C]32.7461038487896[/C][/ROW]
[ROW][C]0.78[/C][C]999.757305157621[/C][C]31.0091042707304[/C][/ROW]
[ROW][C]0.79[/C][C]1006.23370884906[/C][C]28.8775973605568[/C][/ROW]
[ROW][C]0.8[/C][C]1012.35501775176[/C][C]26.5501774287286[/C][/ROW]
[ROW][C]0.81[/C][C]1018.12390989676[/C][C]24.262567919978[/C][/ROW]
[ROW][C]0.82[/C][C]1023.59400323173[/C][C]22.259626932496[/C][/ROW]
[ROW][C]0.83[/C][C]1028.86795765407[/C][C]20.7647257763755[/C][/ROW]
[ROW][C]0.84[/C][C]1034.08838647604[/C][C]19.9535314338967[/C][/ROW]
[ROW][C]0.85[/C][C]1039.42108182201[/C][C]19.9032844876941[/C][/ROW]
[ROW][C]0.86[/C][C]1045.03097902234[/C][C]20.556346452331[/C][/ROW]
[ROW][C]0.87[/C][C]1051.05347158219[/C][C]21.699885856037[/C][/ROW]
[ROW][C]0.88[/C][C]1057.56737115795[/C][C]22.993521682148[/C][/ROW]
[ROW][C]0.89[/C][C]1064.58001954296[/C][C]24.0452748179453[/C][/ROW]
[ROW][C]0.9[/C][C]1072.03720218177[/C][C]24.5273336323207[/C][/ROW]
[ROW][C]0.91[/C][C]1079.86680254767[/C][C]24.3116076962424[/C][/ROW]
[ROW][C]0.92[/C][C]1088.05256022623[/C][C]23.5905446729347[/C][/ROW]
[ROW][C]0.93[/C][C]1096.7143835783[/C][C]22.9055678422463[/C][/ROW]
[ROW][C]0.94[/C][C]1106.15465853896[/C][C]22.9452304207645[/C][/ROW]
[ROW][C]0.95[/C][C]1116.8323600184[/C][C]24.0224636446235[/C][/ROW]
[ROW][C]0.96[/C][C]1129.24747844111[/C][C]25.6263757691888[/C][/ROW]
[ROW][C]0.97[/C][C]1143.69574564374[/C][C]26.7716178708074[/C][/ROW]
[ROW][C]0.98[/C][C]1159.70944776288[/C][C]27.1822630646946[/C][/ROW]
[ROW][C]0.99[/C][C]1175.00957551468[/C][C]28.014621109389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277196&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277196&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
0.01615.05258015977535.0558206907291
0.02631.51563612697225.7759481156028
0.03646.58186823561320.5748067558461
0.04658.66567668923519.0438631220095
0.05668.41448759345618.6777754940556
0.06676.71237437147518.3494570329389
0.07684.10706716339718.0782181994726
0.08690.91084366028718.1635812398292
0.09697.35080351940118.7821408661906
0.1703.61558267427419.8643573270805
0.11709.84030853350721.137516756939
0.12716.08449887070322.2547449456395
0.13722.32820543484422.9242805314003
0.14728.48929864847422.9804517911417
0.15734.45396792709522.4050633902097
0.16740.10948138858721.3080256323008
0.17745.37000935565819.8761661051749
0.18750.1905250258418.3212737752658
0.19754.56834637823716.8305287593291
0.2758.53525187228415.5353659545574
0.21762.14464873535614.4965653256861
0.22765.45814776901813.7116418067698
0.23768.53470144521613.1311152670424
0.24771.42388140389712.6919301348816
0.25774.16344782659812.3366829811663
0.26776.78039349301112.023137968849
0.27779.29419606712711.7377022656194
0.28781.72099098211511.4881865297428
0.29784.07762009651811.3012791534916
0.3786.384854942211.2186489847526
0.31788.66941987193311.2883558939213
0.32790.96469101502811.5579973647826
0.33793.31011353287112.0656104467188
0.34795.74948408676812.8331313886832
0.35798.32831740089713.8648144313544
0.36801.09057658402115.1356118622497
0.37804.07510208084416.6025267587525
0.38807.3121152729818.2016877663991
0.39810.82018456428819.8569184570665
0.4814.60401115561321.4824083300416
0.41818.65331452128722.993201162567
0.42822.94298114766824.3073460543762
0.43827.43450095284225.3563260881195
0.44832.07857470910726.0908232088612
0.45836.81865208799526.4791537648268
0.46841.59506779747226.5163165036347
0.47846.34939047027326.2197532817194
0.48851.02858785123725.6295557719701
0.49855.58864101660324.8060304594711
0.5859.997305744523.8216424072609
0.51864.23581397815722.7581333021008
0.52868.29942266203921.6987550017366
0.53872.19683808755420.72015392356
0.54875.94865660719919.8902059375597
0.55879.58505354957219.2598787186455
0.56883.14301177791618.8591791723976
0.57886.66340582649118.6999947368648
0.58890.18824881270418.776534342264
0.59893.75837262129319.0679438435682
0.6897.41175255795819.5454934680789
0.61901.18260864284720.1769793364183
0.62905.10131689801820.931648632806
0.63909.19504480680121.7895457628998
0.64913.4888892756822.7374005724365
0.65918.00715630681823.772705741291
0.66922.77430592749824.9019891443641
0.67927.81503291424826.1320674625928
0.68933.15300768631927.4652066699884
0.69938.80799726907528.8826683851062
0.7944.79143019403530.33651660409
0.71951.10092295403231.7482299893092
0.72957.71475758821733.0051742749625
0.73964.58765619258533.9762113184481
0.74971.64929504084334.5243346495896
0.75978.80673556783734.5367063099896
0.76985.95131175105433.9454125157877
0.77992.96961731816832.7461038487896
0.78999.75730515762131.0091042707304
0.791006.2337088490628.8775973605568
0.81012.3550177517626.5501774287286
0.811018.1239098967624.262567919978
0.821023.5940032317322.259626932496
0.831028.8679576540720.7647257763755
0.841034.0883864760419.9535314338967
0.851039.4210818220119.9032844876941
0.861045.0309790223420.556346452331
0.871051.0534715821921.699885856037
0.881057.5673711579522.993521682148
0.891064.5800195429624.0452748179453
0.91072.0372021817724.5273336323207
0.911079.8668025476724.3116076962424
0.921088.0525602262323.5905446729347
0.931096.714383578322.9055678422463
0.941106.1546585389622.9452304207645
0.951116.832360018424.0224636446235
0.961129.2474784411125.6263757691888
0.971143.6957456437426.7716178708074
0.981159.7094477628827.1822630646946
0.991175.0095755146828.014621109389


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')