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rwasp_harrell_davis.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Mon, 15 Oct 2012 13:56:51 -0400

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/15/t1350323836drdykvr5u28w612.htm/, Retrieved Tue, 07 May 2024 13:03:27 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=177582, Retrieved Tue, 07 May 2024 13:03:27 +0000

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-     [Harrell-Davis Quantiles] [] [2012-10-15 15:21:07] [863c7e293af37539f527e2425193e5f5]
- R  D    [Harrell-Davis Quantiles] [] [2012-10-15 17:56:51] [72b460291cf9216c25149e3abf0bc35d] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177582&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]2 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=177582&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177582&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	0.982572992427634	0.00760900651373171
0.02	0.985953234819388	0.00510672634463467
0.03	0.988933387212136	0.00393616255426416
0.04	0.99132124004193	0.00413235612303524
0.05	0.993366351674158	0.00462088610108057
0.06	0.995267873213133	0.00483790197561326
0.07	0.997089449180225	0.00482897430950354
0.08	0.998848842059641	0.00490635771294849
0.09	1.00058915084473	0.00534346893118791
0.1	1.00238629411918	0.00618213503410609
0.11	1.00431975857792	0.00726387179380017
0.12	1.00644081603344	0.00837717818631265
0.13	1.00875627186177	0.00933601249296553
0.14	1.01123018949302	0.0100139884511756
0.15	1.01379793244379	0.0103563413016002
0.16	1.0163851946664	0.0103761740331733
0.17	1.01892628254013	0.0101520449010762
0.18	1.02137824992198	0.00980699644620623
0.19	1.02372935639279	0.00950515789035306
0.2	1.02600149185917	0.00942053878475178
0.21	1.02824691763664	0.00971334999132939
0.22	1.0305401978819	0.0104827059598505
0.23	1.03296667942369	0.0117382096177523
0.24	1.03560930267996	0.0133977401293761
0.25	1.03853577553021	0.0153195332608527
0.26	1.04178809612206	0.0173286515473914
0.27	1.04537601822098	0.019242643477251
0.28	1.04927536181373	0.020888051177082
0.29	1.05343121883873	0.0221285412099265
0.3	1.05776527297888	0.0228750039783582
0.31	1.06218581986964	0.0230955083877994
0.32	1.0665987595625	0.0228157627943732
0.33	1.07091787055061	0.0221069129989916
0.34	1.07507301098538	0.0210759005327205
0.35	1.07901541233411	0.0198515215750258
0.36	1.08271979566012	0.0185639675790654
0.37	1.08618353125103	0.0173303536781481
0.38	1.08942340520952	0.0162516970812812
0.39	1.09247073337289	0.0153946080089311
0.4	1.09536559922123	0.01479571210929
0.41	1.09815093590812	0.0144533742371676
0.42	1.10086706938963	0.0143342939590814
0.43	1.10354721885766	0.0143765433383359
0.44	1.10621432053485	0.0145060335856298
0.45	1.10887939611932	0.0146409389854057
0.46	1.11154152187456	0.0147117814748888
0.47	1.11418927337102	0.0146594744359721
0.48	1.11680334425113	0.014451394705401
0.49	1.11935989613944	0.0140741854984355
0.5	1.1218341221518	0.0135361213321941
0.51	1.12420351738328	0.0128649264904102
0.52	1.12645044471769	0.0121015262449095
0.53	1.12856374043267	0.0112906741587697
0.54	1.13053928435106	0.0104769787549678
0.55	1.13237962456646	0.00969909336199937
0.56	1.13409286767579	0.00898736416854166
0.57	1.13569110951092	0.00835875188673953
0.58	1.13718869295073	0.00782203187069939
0.59	1.13860055340508	0.00737592460487561
0.6	1.13994086530968	0.00700928992086603
0.61	1.14122214488666	0.00670871087627609
0.62	1.14245489788771	0.00645724476617045
0.63	1.14364782399598	0.00624006923761018
0.64	1.14480850259367	0.00604925862216091
0.65	1.14594439716049	0.00588374478594828
0.66	1.14706394738187	0.00575196261144796
0.67	1.14817749383326	0.00567003443933657
0.68	1.1492978191349	0.0056551285416371
0.69	1.15044019437172	0.00572436651610487
0.7	1.15162196985505	0.00588661817858502
0.71	1.15286190348052	0.00614248342993406
0.72	1.15417952659713	0.00648424545971794
0.73	1.15559486143893	0.00690166687140766
0.74	1.15712870262669	0.00739011717972902
0.75	1.15880346567949	0.0079514617645857
0.76	1.16064432666881	0.00859888415338688
0.77	1.16268009286773	0.009349855128478
0.78	1.16494303508809	0.0102225167405522
0.79	1.16746686807807	0.0112246401445734
0.8	1.17028227413741	0.0123386929932189
0.81	1.17340989165241	0.0135109984041441
0.82	1.17685153393447	0.0146463265853282
0.83	1.18058144095785	0.0156118878340991
0.84	1.18454030097133	0.0162538444465957
0.85	1.18863514486579	0.0164314360772747
0.86	1.19274748879558	0.0160491246863507
0.87	1.19674994463252	0.0150980397372867
0.88	1.20052814234184	0.0136705629020787
0.89	1.20400128293432	0.0119552987673169
0.9	1.20713290385143	0.0101918214098294
0.91	1.20992569215662	0.00859357676954699
0.92	1.21240159276725	0.00725714146647954
0.93	1.21457966291537	0.00611352623113657
0.94	1.21647440060388	0.00500734701824218
0.95	1.21813820291596	0.00387435925399188
0.96	1.21974839654417	0.0029419358706507
0.97	1.22166803958133	0.00297672911467293
0.98	1.22429102135091	0.00468537883079518
0.99	1.2274832740708	0.00749818736460766

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.982572992427634 & 0.00760900651373171 \tabularnewline
0.02 & 0.985953234819388 & 0.00510672634463467 \tabularnewline
0.03 & 0.988933387212136 & 0.00393616255426416 \tabularnewline
0.04 & 0.99132124004193 & 0.00413235612303524 \tabularnewline
0.05 & 0.993366351674158 & 0.00462088610108057 \tabularnewline
0.06 & 0.995267873213133 & 0.00483790197561326 \tabularnewline
0.07 & 0.997089449180225 & 0.00482897430950354 \tabularnewline
0.08 & 0.998848842059641 & 0.00490635771294849 \tabularnewline
0.09 & 1.00058915084473 & 0.00534346893118791 \tabularnewline
0.1 & 1.00238629411918 & 0.00618213503410609 \tabularnewline
0.11 & 1.00431975857792 & 0.00726387179380017 \tabularnewline
0.12 & 1.00644081603344 & 0.00837717818631265 \tabularnewline
0.13 & 1.00875627186177 & 0.00933601249296553 \tabularnewline
0.14 & 1.01123018949302 & 0.0100139884511756 \tabularnewline
0.15 & 1.01379793244379 & 0.0103563413016002 \tabularnewline
0.16 & 1.0163851946664 & 0.0103761740331733 \tabularnewline
0.17 & 1.01892628254013 & 0.0101520449010762 \tabularnewline
0.18 & 1.02137824992198 & 0.00980699644620623 \tabularnewline
0.19 & 1.02372935639279 & 0.00950515789035306 \tabularnewline
0.2 & 1.02600149185917 & 0.00942053878475178 \tabularnewline
0.21 & 1.02824691763664 & 0.00971334999132939 \tabularnewline
0.22 & 1.0305401978819 & 0.0104827059598505 \tabularnewline
0.23 & 1.03296667942369 & 0.0117382096177523 \tabularnewline
0.24 & 1.03560930267996 & 0.0133977401293761 \tabularnewline
0.25 & 1.03853577553021 & 0.0153195332608527 \tabularnewline
0.26 & 1.04178809612206 & 0.0173286515473914 \tabularnewline
0.27 & 1.04537601822098 & 0.019242643477251 \tabularnewline
0.28 & 1.04927536181373 & 0.020888051177082 \tabularnewline
0.29 & 1.05343121883873 & 0.0221285412099265 \tabularnewline
0.3 & 1.05776527297888 & 0.0228750039783582 \tabularnewline
0.31 & 1.06218581986964 & 0.0230955083877994 \tabularnewline
0.32 & 1.0665987595625 & 0.0228157627943732 \tabularnewline
0.33 & 1.07091787055061 & 0.0221069129989916 \tabularnewline
0.34 & 1.07507301098538 & 0.0210759005327205 \tabularnewline
0.35 & 1.07901541233411 & 0.0198515215750258 \tabularnewline
0.36 & 1.08271979566012 & 0.0185639675790654 \tabularnewline
0.37 & 1.08618353125103 & 0.0173303536781481 \tabularnewline
0.38 & 1.08942340520952 & 0.0162516970812812 \tabularnewline
0.39 & 1.09247073337289 & 0.0153946080089311 \tabularnewline
0.4 & 1.09536559922123 & 0.01479571210929 \tabularnewline
0.41 & 1.09815093590812 & 0.0144533742371676 \tabularnewline
0.42 & 1.10086706938963 & 0.0143342939590814 \tabularnewline
0.43 & 1.10354721885766 & 0.0143765433383359 \tabularnewline
0.44 & 1.10621432053485 & 0.0145060335856298 \tabularnewline
0.45 & 1.10887939611932 & 0.0146409389854057 \tabularnewline
0.46 & 1.11154152187456 & 0.0147117814748888 \tabularnewline
0.47 & 1.11418927337102 & 0.0146594744359721 \tabularnewline
0.48 & 1.11680334425113 & 0.014451394705401 \tabularnewline
0.49 & 1.11935989613944 & 0.0140741854984355 \tabularnewline
0.5 & 1.1218341221518 & 0.0135361213321941 \tabularnewline
0.51 & 1.12420351738328 & 0.0128649264904102 \tabularnewline
0.52 & 1.12645044471769 & 0.0121015262449095 \tabularnewline
0.53 & 1.12856374043267 & 0.0112906741587697 \tabularnewline
0.54 & 1.13053928435106 & 0.0104769787549678 \tabularnewline
0.55 & 1.13237962456646 & 0.00969909336199937 \tabularnewline
0.56 & 1.13409286767579 & 0.00898736416854166 \tabularnewline
0.57 & 1.13569110951092 & 0.00835875188673953 \tabularnewline
0.58 & 1.13718869295073 & 0.00782203187069939 \tabularnewline
0.59 & 1.13860055340508 & 0.00737592460487561 \tabularnewline
0.6 & 1.13994086530968 & 0.00700928992086603 \tabularnewline
0.61 & 1.14122214488666 & 0.00670871087627609 \tabularnewline
0.62 & 1.14245489788771 & 0.00645724476617045 \tabularnewline
0.63 & 1.14364782399598 & 0.00624006923761018 \tabularnewline
0.64 & 1.14480850259367 & 0.00604925862216091 \tabularnewline
0.65 & 1.14594439716049 & 0.00588374478594828 \tabularnewline
0.66 & 1.14706394738187 & 0.00575196261144796 \tabularnewline
0.67 & 1.14817749383326 & 0.00567003443933657 \tabularnewline
0.68 & 1.1492978191349 & 0.0056551285416371 \tabularnewline
0.69 & 1.15044019437172 & 0.00572436651610487 \tabularnewline
0.7 & 1.15162196985505 & 0.00588661817858502 \tabularnewline
0.71 & 1.15286190348052 & 0.00614248342993406 \tabularnewline
0.72 & 1.15417952659713 & 0.00648424545971794 \tabularnewline
0.73 & 1.15559486143893 & 0.00690166687140766 \tabularnewline
0.74 & 1.15712870262669 & 0.00739011717972902 \tabularnewline
0.75 & 1.15880346567949 & 0.0079514617645857 \tabularnewline
0.76 & 1.16064432666881 & 0.00859888415338688 \tabularnewline
0.77 & 1.16268009286773 & 0.009349855128478 \tabularnewline
0.78 & 1.16494303508809 & 0.0102225167405522 \tabularnewline
0.79 & 1.16746686807807 & 0.0112246401445734 \tabularnewline
0.8 & 1.17028227413741 & 0.0123386929932189 \tabularnewline
0.81 & 1.17340989165241 & 0.0135109984041441 \tabularnewline
0.82 & 1.17685153393447 & 0.0146463265853282 \tabularnewline
0.83 & 1.18058144095785 & 0.0156118878340991 \tabularnewline
0.84 & 1.18454030097133 & 0.0162538444465957 \tabularnewline
0.85 & 1.18863514486579 & 0.0164314360772747 \tabularnewline
0.86 & 1.19274748879558 & 0.0160491246863507 \tabularnewline
0.87 & 1.19674994463252 & 0.0150980397372867 \tabularnewline
0.88 & 1.20052814234184 & 0.0136705629020787 \tabularnewline
0.89 & 1.20400128293432 & 0.0119552987673169 \tabularnewline
0.9 & 1.20713290385143 & 0.0101918214098294 \tabularnewline
0.91 & 1.20992569215662 & 0.00859357676954699 \tabularnewline
0.92 & 1.21240159276725 & 0.00725714146647954 \tabularnewline
0.93 & 1.21457966291537 & 0.00611352623113657 \tabularnewline
0.94 & 1.21647440060388 & 0.00500734701824218 \tabularnewline
0.95 & 1.21813820291596 & 0.00387435925399188 \tabularnewline
0.96 & 1.21974839654417 & 0.0029419358706507 \tabularnewline
0.97 & 1.22166803958133 & 0.00297672911467293 \tabularnewline
0.98 & 1.22429102135091 & 0.00468537883079518 \tabularnewline
0.99 & 1.2274832740708 & 0.00749818736460766 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177582&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]0.982572992427634[/C][C]0.00760900651373171[/C][/ROW]
[ROW][C]0.02[/C][C]0.985953234819388[/C][C]0.00510672634463467[/C][/ROW]
[ROW][C]0.03[/C][C]0.988933387212136[/C][C]0.00393616255426416[/C][/ROW]
[ROW][C]0.04[/C][C]0.99132124004193[/C][C]0.00413235612303524[/C][/ROW]
[ROW][C]0.05[/C][C]0.993366351674158[/C][C]0.00462088610108057[/C][/ROW]
[ROW][C]0.06[/C][C]0.995267873213133[/C][C]0.00483790197561326[/C][/ROW]
[ROW][C]0.07[/C][C]0.997089449180225[/C][C]0.00482897430950354[/C][/ROW]
[ROW][C]0.08[/C][C]0.998848842059641[/C][C]0.00490635771294849[/C][/ROW]
[ROW][C]0.09[/C][C]1.00058915084473[/C][C]0.00534346893118791[/C][/ROW]
[ROW][C]0.1[/C][C]1.00238629411918[/C][C]0.00618213503410609[/C][/ROW]
[ROW][C]0.11[/C][C]1.00431975857792[/C][C]0.00726387179380017[/C][/ROW]
[ROW][C]0.12[/C][C]1.00644081603344[/C][C]0.00837717818631265[/C][/ROW]
[ROW][C]0.13[/C][C]1.00875627186177[/C][C]0.00933601249296553[/C][/ROW]
[ROW][C]0.14[/C][C]1.01123018949302[/C][C]0.0100139884511756[/C][/ROW]
[ROW][C]0.15[/C][C]1.01379793244379[/C][C]0.0103563413016002[/C][/ROW]
[ROW][C]0.16[/C][C]1.0163851946664[/C][C]0.0103761740331733[/C][/ROW]
[ROW][C]0.17[/C][C]1.01892628254013[/C][C]0.0101520449010762[/C][/ROW]
[ROW][C]0.18[/C][C]1.02137824992198[/C][C]0.00980699644620623[/C][/ROW]
[ROW][C]0.19[/C][C]1.02372935639279[/C][C]0.00950515789035306[/C][/ROW]
[ROW][C]0.2[/C][C]1.02600149185917[/C][C]0.00942053878475178[/C][/ROW]
[ROW][C]0.21[/C][C]1.02824691763664[/C][C]0.00971334999132939[/C][/ROW]
[ROW][C]0.22[/C][C]1.0305401978819[/C][C]0.0104827059598505[/C][/ROW]
[ROW][C]0.23[/C][C]1.03296667942369[/C][C]0.0117382096177523[/C][/ROW]
[ROW][C]0.24[/C][C]1.03560930267996[/C][C]0.0133977401293761[/C][/ROW]
[ROW][C]0.25[/C][C]1.03853577553021[/C][C]0.0153195332608527[/C][/ROW]
[ROW][C]0.26[/C][C]1.04178809612206[/C][C]0.0173286515473914[/C][/ROW]
[ROW][C]0.27[/C][C]1.04537601822098[/C][C]0.019242643477251[/C][/ROW]
[ROW][C]0.28[/C][C]1.04927536181373[/C][C]0.020888051177082[/C][/ROW]
[ROW][C]0.29[/C][C]1.05343121883873[/C][C]0.0221285412099265[/C][/ROW]
[ROW][C]0.3[/C][C]1.05776527297888[/C][C]0.0228750039783582[/C][/ROW]
[ROW][C]0.31[/C][C]1.06218581986964[/C][C]0.0230955083877994[/C][/ROW]
[ROW][C]0.32[/C][C]1.0665987595625[/C][C]0.0228157627943732[/C][/ROW]
[ROW][C]0.33[/C][C]1.07091787055061[/C][C]0.0221069129989916[/C][/ROW]
[ROW][C]0.34[/C][C]1.07507301098538[/C][C]0.0210759005327205[/C][/ROW]
[ROW][C]0.35[/C][C]1.07901541233411[/C][C]0.0198515215750258[/C][/ROW]
[ROW][C]0.36[/C][C]1.08271979566012[/C][C]0.0185639675790654[/C][/ROW]
[ROW][C]0.37[/C][C]1.08618353125103[/C][C]0.0173303536781481[/C][/ROW]
[ROW][C]0.38[/C][C]1.08942340520952[/C][C]0.0162516970812812[/C][/ROW]
[ROW][C]0.39[/C][C]1.09247073337289[/C][C]0.0153946080089311[/C][/ROW]
[ROW][C]0.4[/C][C]1.09536559922123[/C][C]0.01479571210929[/C][/ROW]
[ROW][C]0.41[/C][C]1.09815093590812[/C][C]0.0144533742371676[/C][/ROW]
[ROW][C]0.42[/C][C]1.10086706938963[/C][C]0.0143342939590814[/C][/ROW]
[ROW][C]0.43[/C][C]1.10354721885766[/C][C]0.0143765433383359[/C][/ROW]
[ROW][C]0.44[/C][C]1.10621432053485[/C][C]0.0145060335856298[/C][/ROW]
[ROW][C]0.45[/C][C]1.10887939611932[/C][C]0.0146409389854057[/C][/ROW]
[ROW][C]0.46[/C][C]1.11154152187456[/C][C]0.0147117814748888[/C][/ROW]
[ROW][C]0.47[/C][C]1.11418927337102[/C][C]0.0146594744359721[/C][/ROW]
[ROW][C]0.48[/C][C]1.11680334425113[/C][C]0.014451394705401[/C][/ROW]
[ROW][C]0.49[/C][C]1.11935989613944[/C][C]0.0140741854984355[/C][/ROW]
[ROW][C]0.5[/C][C]1.1218341221518[/C][C]0.0135361213321941[/C][/ROW]
[ROW][C]0.51[/C][C]1.12420351738328[/C][C]0.0128649264904102[/C][/ROW]
[ROW][C]0.52[/C][C]1.12645044471769[/C][C]0.0121015262449095[/C][/ROW]
[ROW][C]0.53[/C][C]1.12856374043267[/C][C]0.0112906741587697[/C][/ROW]
[ROW][C]0.54[/C][C]1.13053928435106[/C][C]0.0104769787549678[/C][/ROW]
[ROW][C]0.55[/C][C]1.13237962456646[/C][C]0.00969909336199937[/C][/ROW]
[ROW][C]0.56[/C][C]1.13409286767579[/C][C]0.00898736416854166[/C][/ROW]
[ROW][C]0.57[/C][C]1.13569110951092[/C][C]0.00835875188673953[/C][/ROW]
[ROW][C]0.58[/C][C]1.13718869295073[/C][C]0.00782203187069939[/C][/ROW]
[ROW][C]0.59[/C][C]1.13860055340508[/C][C]0.00737592460487561[/C][/ROW]
[ROW][C]0.6[/C][C]1.13994086530968[/C][C]0.00700928992086603[/C][/ROW]
[ROW][C]0.61[/C][C]1.14122214488666[/C][C]0.00670871087627609[/C][/ROW]
[ROW][C]0.62[/C][C]1.14245489788771[/C][C]0.00645724476617045[/C][/ROW]
[ROW][C]0.63[/C][C]1.14364782399598[/C][C]0.00624006923761018[/C][/ROW]
[ROW][C]0.64[/C][C]1.14480850259367[/C][C]0.00604925862216091[/C][/ROW]
[ROW][C]0.65[/C][C]1.14594439716049[/C][C]0.00588374478594828[/C][/ROW]
[ROW][C]0.66[/C][C]1.14706394738187[/C][C]0.00575196261144796[/C][/ROW]
[ROW][C]0.67[/C][C]1.14817749383326[/C][C]0.00567003443933657[/C][/ROW]
[ROW][C]0.68[/C][C]1.1492978191349[/C][C]0.0056551285416371[/C][/ROW]
[ROW][C]0.69[/C][C]1.15044019437172[/C][C]0.00572436651610487[/C][/ROW]
[ROW][C]0.7[/C][C]1.15162196985505[/C][C]0.00588661817858502[/C][/ROW]
[ROW][C]0.71[/C][C]1.15286190348052[/C][C]0.00614248342993406[/C][/ROW]
[ROW][C]0.72[/C][C]1.15417952659713[/C][C]0.00648424545971794[/C][/ROW]
[ROW][C]0.73[/C][C]1.15559486143893[/C][C]0.00690166687140766[/C][/ROW]
[ROW][C]0.74[/C][C]1.15712870262669[/C][C]0.00739011717972902[/C][/ROW]
[ROW][C]0.75[/C][C]1.15880346567949[/C][C]0.0079514617645857[/C][/ROW]
[ROW][C]0.76[/C][C]1.16064432666881[/C][C]0.00859888415338688[/C][/ROW]
[ROW][C]0.77[/C][C]1.16268009286773[/C][C]0.009349855128478[/C][/ROW]
[ROW][C]0.78[/C][C]1.16494303508809[/C][C]0.0102225167405522[/C][/ROW]
[ROW][C]0.79[/C][C]1.16746686807807[/C][C]0.0112246401445734[/C][/ROW]
[ROW][C]0.8[/C][C]1.17028227413741[/C][C]0.0123386929932189[/C][/ROW]
[ROW][C]0.81[/C][C]1.17340989165241[/C][C]0.0135109984041441[/C][/ROW]
[ROW][C]0.82[/C][C]1.17685153393447[/C][C]0.0146463265853282[/C][/ROW]
[ROW][C]0.83[/C][C]1.18058144095785[/C][C]0.0156118878340991[/C][/ROW]
[ROW][C]0.84[/C][C]1.18454030097133[/C][C]0.0162538444465957[/C][/ROW]
[ROW][C]0.85[/C][C]1.18863514486579[/C][C]0.0164314360772747[/C][/ROW]
[ROW][C]0.86[/C][C]1.19274748879558[/C][C]0.0160491246863507[/C][/ROW]
[ROW][C]0.87[/C][C]1.19674994463252[/C][C]0.0150980397372867[/C][/ROW]
[ROW][C]0.88[/C][C]1.20052814234184[/C][C]0.0136705629020787[/C][/ROW]
[ROW][C]0.89[/C][C]1.20400128293432[/C][C]0.0119552987673169[/C][/ROW]
[ROW][C]0.9[/C][C]1.20713290385143[/C][C]0.0101918214098294[/C][/ROW]
[ROW][C]0.91[/C][C]1.20992569215662[/C][C]0.00859357676954699[/C][/ROW]
[ROW][C]0.92[/C][C]1.21240159276725[/C][C]0.00725714146647954[/C][/ROW]
[ROW][C]0.93[/C][C]1.21457966291537[/C][C]0.00611352623113657[/C][/ROW]
[ROW][C]0.94[/C][C]1.21647440060388[/C][C]0.00500734701824218[/C][/ROW]
[ROW][C]0.95[/C][C]1.21813820291596[/C][C]0.00387435925399188[/C][/ROW]
[ROW][C]0.96[/C][C]1.21974839654417[/C][C]0.0029419358706507[/C][/ROW]
[ROW][C]0.97[/C][C]1.22166803958133[/C][C]0.00297672911467293[/C][/ROW]
[ROW][C]0.98[/C][C]1.22429102135091[/C][C]0.00468537883079518[/C][/ROW]
[ROW][C]0.99[/C][C]1.2274832740708[/C][C]0.00749818736460766[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177582&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177582&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
quantiles	value	standard error
0.01	0.982572992427634	0.00760900651373171
0.02	0.985953234819388	0.00510672634463467
0.03	0.988933387212136	0.00393616255426416
0.04	0.99132124004193	0.00413235612303524
0.05	0.993366351674158	0.00462088610108057
0.06	0.995267873213133	0.00483790197561326
0.07	0.997089449180225	0.00482897430950354
0.08	0.998848842059641	0.00490635771294849
0.09	1.00058915084473	0.00534346893118791
0.1	1.00238629411918	0.00618213503410609
0.11	1.00431975857792	0.00726387179380017
0.12	1.00644081603344	0.00837717818631265
0.13	1.00875627186177	0.00933601249296553
0.14	1.01123018949302	0.0100139884511756
0.15	1.01379793244379	0.0103563413016002
0.16	1.0163851946664	0.0103761740331733
0.17	1.01892628254013	0.0101520449010762
0.18	1.02137824992198	0.00980699644620623
0.19	1.02372935639279	0.00950515789035306
0.2	1.02600149185917	0.00942053878475178
0.21	1.02824691763664	0.00971334999132939
0.22	1.0305401978819	0.0104827059598505
0.23	1.03296667942369	0.0117382096177523
0.24	1.03560930267996	0.0133977401293761
0.25	1.03853577553021	0.0153195332608527
0.26	1.04178809612206	0.0173286515473914
0.27	1.04537601822098	0.019242643477251
0.28	1.04927536181373	0.020888051177082
0.29	1.05343121883873	0.0221285412099265
0.3	1.05776527297888	0.0228750039783582
0.31	1.06218581986964	0.0230955083877994
0.32	1.0665987595625	0.0228157627943732
0.33	1.07091787055061	0.0221069129989916
0.34	1.07507301098538	0.0210759005327205
0.35	1.07901541233411	0.0198515215750258
0.36	1.08271979566012	0.0185639675790654
0.37	1.08618353125103	0.0173303536781481
0.38	1.08942340520952	0.0162516970812812
0.39	1.09247073337289	0.0153946080089311
0.4	1.09536559922123	0.01479571210929
0.41	1.09815093590812	0.0144533742371676
0.42	1.10086706938963	0.0143342939590814
0.43	1.10354721885766	0.0143765433383359
0.44	1.10621432053485	0.0145060335856298
0.45	1.10887939611932	0.0146409389854057
0.46	1.11154152187456	0.0147117814748888
0.47	1.11418927337102	0.0146594744359721
0.48	1.11680334425113	0.014451394705401
0.49	1.11935989613944	0.0140741854984355
0.5	1.1218341221518	0.0135361213321941
0.51	1.12420351738328	0.0128649264904102
0.52	1.12645044471769	0.0121015262449095
0.53	1.12856374043267	0.0112906741587697
0.54	1.13053928435106	0.0104769787549678
0.55	1.13237962456646	0.00969909336199937
0.56	1.13409286767579	0.00898736416854166
0.57	1.13569110951092	0.00835875188673953
0.58	1.13718869295073	0.00782203187069939
0.59	1.13860055340508	0.00737592460487561
0.6	1.13994086530968	0.00700928992086603
0.61	1.14122214488666	0.00670871087627609
0.62	1.14245489788771	0.00645724476617045
0.63	1.14364782399598	0.00624006923761018
0.64	1.14480850259367	0.00604925862216091
0.65	1.14594439716049	0.00588374478594828
0.66	1.14706394738187	0.00575196261144796
0.67	1.14817749383326	0.00567003443933657
0.68	1.1492978191349	0.0056551285416371
0.69	1.15044019437172	0.00572436651610487
0.7	1.15162196985505	0.00588661817858502
0.71	1.15286190348052	0.00614248342993406
0.72	1.15417952659713	0.00648424545971794
0.73	1.15559486143893	0.00690166687140766
0.74	1.15712870262669	0.00739011717972902
0.75	1.15880346567949	0.0079514617645857
0.76	1.16064432666881	0.00859888415338688
0.77	1.16268009286773	0.009349855128478
0.78	1.16494303508809	0.0102225167405522
0.79	1.16746686807807	0.0112246401445734
0.8	1.17028227413741	0.0123386929932189
0.81	1.17340989165241	0.0135109984041441
0.82	1.17685153393447	0.0146463265853282
0.83	1.18058144095785	0.0156118878340991
0.84	1.18454030097133	0.0162538444465957
0.85	1.18863514486579	0.0164314360772747
0.86	1.19274748879558	0.0160491246863507
0.87	1.19674994463252	0.0150980397372867
0.88	1.20052814234184	0.0136705629020787
0.89	1.20400128293432	0.0119552987673169
0.9	1.20713290385143	0.0101918214098294
0.91	1.20992569215662	0.00859357676954699
0.92	1.21240159276725	0.00725714146647954
0.93	1.21457966291537	0.00611352623113657
0.94	1.21647440060388	0.00500734701824218
0.95	1.21813820291596	0.00387435925399188
0.96	1.21974839654417	0.0029419358706507
0.97	1.22166803958133	0.00297672911467293
0.98	1.22429102135091	0.00468537883079518
0.99	1.2274832740708	0.00749818736460766

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code