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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 computationSun, 15 Jan 2012 15:23:50 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Jan/15/t1326659137yae9gzjp77mkmu8.htm/, Retrieved Fri, 03 May 2024 14:00:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=161132, Retrieved Fri, 03 May 2024 14:00:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact67

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] [opgave 4 oef 2 st...] [2012-01-15 20:23:50] [c8d6d2e44a5c33fd73238ca65c4ee2f1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11.8
11.87
11.86
12.11
11.92
12.61
13.34
13.31
13.47
13.24
13.18
13.3
13.15
13.47
13.65
13.52
14.13
14.84
15.29
15.51
15.43
15.42
15.56
15.43
15.36
15.18
15.41
15.15
15.21
15.09
15.09
15.5
15.41
15.42
15.47
15.23
15.59
15.22
15.45
15.02
15.5
15.59
15.98
15.76
15.43
15.45
15.32
15.4
15.42
15.54
15.6
15.67
15.61
16.01
16.06
16.15
15.87
15.89
15.73
15.78
16.07
16.2
16.42
16.61
16.89
17.62
17.83
17.94
18.07
17.85
17.86
17.85

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=161132&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=161132&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161132&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
0.0111.82044068836770.0573687335220176
0.0211.8587887087310.0863256142340381
0.0311.91773617009830.161692170672273
0.0412.00420472629060.266363325651553
0.0512.12237582751590.374002978269979
0.0612.26900254447220.458312702908028
0.0712.43383786745970.50183656851366
0.0812.60327160145890.500694795800507
0.0912.76454224824640.463267532543558
0.112.90875353317460.405023863142773
0.1113.03205506023760.34277241025869
0.1213.13523103139620.29079787005181
0.1313.22237676871540.259193812821116
0.1413.29935077403720.253190275395701
0.1513.37244910372660.272678114196288
0.1613.44746525114310.313438365159576
0.1713.52910449730560.369428161235727
0.1813.62064997969830.434128314484633
0.1913.72379452485790.500601994996654
0.213.83860224971150.561820302717961
0.2113.96360313243410.611200720392552
0.2214.09603245367210.643435789377755
0.2314.23220753811870.655226123058508
0.2414.36800172473410.645722685659393
0.2514.49934766930050.616458781636112
0.2614.6226915236850.571053496465019
0.2714.7353300983710.514390955655485
0.2814.8355903446670.451885106734064
0.2914.92284488365220.38862685736514
0.314.99738857687290.328824239634129
0.3115.06022177409440.275461541760359
0.3215.11279292418420.23021873903927
0.3315.15674809536090.193530414052715
0.3415.19372183938670.16490931768519
0.3515.22518780078590.143150035278043
0.3615.25237275831070.126686754553499
0.3715.27622695659630.113994770443164
0.3815.29743744777550.103663357322277
0.3915.31646921066570.0946747153130566
0.415.3336198683660.0863639660152226
0.4115.34907658378440.0783785719438639
0.4215.3629671013510.0706137150875943
0.4315.37540019661640.0631712723276737
0.4415.38649359370720.0562234149658621
0.4515.39638954895040.0500131153058307
0.4615.40525975529450.0447758081099522
0.4715.41330205171670.0406868821549915
0.4815.42073172122240.0378946328103283
0.4915.42777005021370.0364181175001725
0.515.43463243166580.0361807053956257
0.5115.44151775329650.0370357268094325
0.5215.44860023222580.0387738299540706
0.5315.4560243242320.0411778396796503
0.5415.46390289934420.0440202500745151
0.5515.47231855294430.0471595678214846
0.5615.48132770132990.0504442835328741
0.5715.49096696242060.0537610104466156
0.5815.50126120843620.0570710616254729
0.5915.51223256593740.0603984042686022
0.615.52390951568860.0637896604752018
0.6115.53633512363890.0673742202956501
0.6215.54957335720230.0712436164028331
0.6315.56371246988120.0755666772215967
0.6415.57886463275560.0804831935655505
0.6515.59516138534510.0860759765239541
0.6615.61274505083320.0923702255616781
0.6715.6317569334390.0993062963179725
0.6815.65232377136190.1067295305075
0.6915.6745444414340.114427182254084
0.715.69847923460040.122113789694388
0.7115.72414415555510.129544436519215
0.7215.75151272281560.136438033543402
0.7315.78052774481450.142602015017444
0.7415.81112553795440.147994805238832
0.7515.84327490572540.152707009040881
0.7615.87703262625440.157105652997008
0.7715.91261580723860.161874299728922
0.7815.95048886812870.168113207998332
0.7915.99145879125780.177343639067425
0.816.03676644570470.191504010015
0.8116.08815413191370.212708770990892
0.8216.14788019113460.242881183976407
0.8316.2186416681730.28330759995975
0.8416.30335897938720.334125206532741
0.8516.40477956213850.393715482643836
0.8616.52488195144460.458100698421072
0.8716.66411954405390.520572152825313
0.8816.82063738577150.57182636458642
0.8916.98970601722320.601174386174646
0.917.16369240893930.598922547721031
0.9117.33285549280990.559627724873361
0.9217.48705409729340.485135954286588
0.9317.61810206890110.385857291748805
0.9417.7221244929220.279008215788313
0.9517.8010581954410.184050793927561
0.9617.862504817430.117515918431416
0.9717.91728481985880.0891778122870017
0.9817.97397195680390.0936139324536361
0.9918.03061644983820.112251130736103

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 11.8204406883677 & 0.0573687335220176 \tabularnewline
0.02 & 11.858788708731 & 0.0863256142340381 \tabularnewline
0.03 & 11.9177361700983 & 0.161692170672273 \tabularnewline
0.04 & 12.0042047262906 & 0.266363325651553 \tabularnewline
0.05 & 12.1223758275159 & 0.374002978269979 \tabularnewline
0.06 & 12.2690025444722 & 0.458312702908028 \tabularnewline
0.07 & 12.4338378674597 & 0.50183656851366 \tabularnewline
0.08 & 12.6032716014589 & 0.500694795800507 \tabularnewline
0.09 & 12.7645422482464 & 0.463267532543558 \tabularnewline
0.1 & 12.9087535331746 & 0.405023863142773 \tabularnewline
0.11 & 13.0320550602376 & 0.34277241025869 \tabularnewline
0.12 & 13.1352310313962 & 0.29079787005181 \tabularnewline
0.13 & 13.2223767687154 & 0.259193812821116 \tabularnewline
0.14 & 13.2993507740372 & 0.253190275395701 \tabularnewline
0.15 & 13.3724491037266 & 0.272678114196288 \tabularnewline
0.16 & 13.4474652511431 & 0.313438365159576 \tabularnewline
0.17 & 13.5291044973056 & 0.369428161235727 \tabularnewline
0.18 & 13.6206499796983 & 0.434128314484633 \tabularnewline
0.19 & 13.7237945248579 & 0.500601994996654 \tabularnewline
0.2 & 13.8386022497115 & 0.561820302717961 \tabularnewline
0.21 & 13.9636031324341 & 0.611200720392552 \tabularnewline
0.22 & 14.0960324536721 & 0.643435789377755 \tabularnewline
0.23 & 14.2322075381187 & 0.655226123058508 \tabularnewline
0.24 & 14.3680017247341 & 0.645722685659393 \tabularnewline
0.25 & 14.4993476693005 & 0.616458781636112 \tabularnewline
0.26 & 14.622691523685 & 0.571053496465019 \tabularnewline
0.27 & 14.735330098371 & 0.514390955655485 \tabularnewline
0.28 & 14.835590344667 & 0.451885106734064 \tabularnewline
0.29 & 14.9228448836522 & 0.38862685736514 \tabularnewline
0.3 & 14.9973885768729 & 0.328824239634129 \tabularnewline
0.31 & 15.0602217740944 & 0.275461541760359 \tabularnewline
0.32 & 15.1127929241842 & 0.23021873903927 \tabularnewline
0.33 & 15.1567480953609 & 0.193530414052715 \tabularnewline
0.34 & 15.1937218393867 & 0.16490931768519 \tabularnewline
0.35 & 15.2251878007859 & 0.143150035278043 \tabularnewline
0.36 & 15.2523727583107 & 0.126686754553499 \tabularnewline
0.37 & 15.2762269565963 & 0.113994770443164 \tabularnewline
0.38 & 15.2974374477755 & 0.103663357322277 \tabularnewline
0.39 & 15.3164692106657 & 0.0946747153130566 \tabularnewline
0.4 & 15.333619868366 & 0.0863639660152226 \tabularnewline
0.41 & 15.3490765837844 & 0.0783785719438639 \tabularnewline
0.42 & 15.362967101351 & 0.0706137150875943 \tabularnewline
0.43 & 15.3754001966164 & 0.0631712723276737 \tabularnewline
0.44 & 15.3864935937072 & 0.0562234149658621 \tabularnewline
0.45 & 15.3963895489504 & 0.0500131153058307 \tabularnewline
0.46 & 15.4052597552945 & 0.0447758081099522 \tabularnewline
0.47 & 15.4133020517167 & 0.0406868821549915 \tabularnewline
0.48 & 15.4207317212224 & 0.0378946328103283 \tabularnewline
0.49 & 15.4277700502137 & 0.0364181175001725 \tabularnewline
0.5 & 15.4346324316658 & 0.0361807053956257 \tabularnewline
0.51 & 15.4415177532965 & 0.0370357268094325 \tabularnewline
0.52 & 15.4486002322258 & 0.0387738299540706 \tabularnewline
0.53 & 15.456024324232 & 0.0411778396796503 \tabularnewline
0.54 & 15.4639028993442 & 0.0440202500745151 \tabularnewline
0.55 & 15.4723185529443 & 0.0471595678214846 \tabularnewline
0.56 & 15.4813277013299 & 0.0504442835328741 \tabularnewline
0.57 & 15.4909669624206 & 0.0537610104466156 \tabularnewline
0.58 & 15.5012612084362 & 0.0570710616254729 \tabularnewline
0.59 & 15.5122325659374 & 0.0603984042686022 \tabularnewline
0.6 & 15.5239095156886 & 0.0637896604752018 \tabularnewline
0.61 & 15.5363351236389 & 0.0673742202956501 \tabularnewline
0.62 & 15.5495733572023 & 0.0712436164028331 \tabularnewline
0.63 & 15.5637124698812 & 0.0755666772215967 \tabularnewline
0.64 & 15.5788646327556 & 0.0804831935655505 \tabularnewline
0.65 & 15.5951613853451 & 0.0860759765239541 \tabularnewline
0.66 & 15.6127450508332 & 0.0923702255616781 \tabularnewline
0.67 & 15.631756933439 & 0.0993062963179725 \tabularnewline
0.68 & 15.6523237713619 & 0.1067295305075 \tabularnewline
0.69 & 15.674544441434 & 0.114427182254084 \tabularnewline
0.7 & 15.6984792346004 & 0.122113789694388 \tabularnewline
0.71 & 15.7241441555551 & 0.129544436519215 \tabularnewline
0.72 & 15.7515127228156 & 0.136438033543402 \tabularnewline
0.73 & 15.7805277448145 & 0.142602015017444 \tabularnewline
0.74 & 15.8111255379544 & 0.147994805238832 \tabularnewline
0.75 & 15.8432749057254 & 0.152707009040881 \tabularnewline
0.76 & 15.8770326262544 & 0.157105652997008 \tabularnewline
0.77 & 15.9126158072386 & 0.161874299728922 \tabularnewline
0.78 & 15.9504888681287 & 0.168113207998332 \tabularnewline
0.79 & 15.9914587912578 & 0.177343639067425 \tabularnewline
0.8 & 16.0367664457047 & 0.191504010015 \tabularnewline
0.81 & 16.0881541319137 & 0.212708770990892 \tabularnewline
0.82 & 16.1478801911346 & 0.242881183976407 \tabularnewline
0.83 & 16.218641668173 & 0.28330759995975 \tabularnewline
0.84 & 16.3033589793872 & 0.334125206532741 \tabularnewline
0.85 & 16.4047795621385 & 0.393715482643836 \tabularnewline
0.86 & 16.5248819514446 & 0.458100698421072 \tabularnewline
0.87 & 16.6641195440539 & 0.520572152825313 \tabularnewline
0.88 & 16.8206373857715 & 0.57182636458642 \tabularnewline
0.89 & 16.9897060172232 & 0.601174386174646 \tabularnewline
0.9 & 17.1636924089393 & 0.598922547721031 \tabularnewline
0.91 & 17.3328554928099 & 0.559627724873361 \tabularnewline
0.92 & 17.4870540972934 & 0.485135954286588 \tabularnewline
0.93 & 17.6181020689011 & 0.385857291748805 \tabularnewline
0.94 & 17.722124492922 & 0.279008215788313 \tabularnewline
0.95 & 17.801058195441 & 0.184050793927561 \tabularnewline
0.96 & 17.86250481743 & 0.117515918431416 \tabularnewline
0.97 & 17.9172848198588 & 0.0891778122870017 \tabularnewline
0.98 & 17.9739719568039 & 0.0936139324536361 \tabularnewline
0.99 & 18.0306164498382 & 0.112251130736103 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161132&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]11.8204406883677[/C][C]0.0573687335220176[/C][/ROW]
[ROW][C]0.02[/C][C]11.858788708731[/C][C]0.0863256142340381[/C][/ROW]
[ROW][C]0.03[/C][C]11.9177361700983[/C][C]0.161692170672273[/C][/ROW]
[ROW][C]0.04[/C][C]12.0042047262906[/C][C]0.266363325651553[/C][/ROW]
[ROW][C]0.05[/C][C]12.1223758275159[/C][C]0.374002978269979[/C][/ROW]
[ROW][C]0.06[/C][C]12.2690025444722[/C][C]0.458312702908028[/C][/ROW]
[ROW][C]0.07[/C][C]12.4338378674597[/C][C]0.50183656851366[/C][/ROW]
[ROW][C]0.08[/C][C]12.6032716014589[/C][C]0.500694795800507[/C][/ROW]
[ROW][C]0.09[/C][C]12.7645422482464[/C][C]0.463267532543558[/C][/ROW]
[ROW][C]0.1[/C][C]12.9087535331746[/C][C]0.405023863142773[/C][/ROW]
[ROW][C]0.11[/C][C]13.0320550602376[/C][C]0.34277241025869[/C][/ROW]
[ROW][C]0.12[/C][C]13.1352310313962[/C][C]0.29079787005181[/C][/ROW]
[ROW][C]0.13[/C][C]13.2223767687154[/C][C]0.259193812821116[/C][/ROW]
[ROW][C]0.14[/C][C]13.2993507740372[/C][C]0.253190275395701[/C][/ROW]
[ROW][C]0.15[/C][C]13.3724491037266[/C][C]0.272678114196288[/C][/ROW]
[ROW][C]0.16[/C][C]13.4474652511431[/C][C]0.313438365159576[/C][/ROW]
[ROW][C]0.17[/C][C]13.5291044973056[/C][C]0.369428161235727[/C][/ROW]
[ROW][C]0.18[/C][C]13.6206499796983[/C][C]0.434128314484633[/C][/ROW]
[ROW][C]0.19[/C][C]13.7237945248579[/C][C]0.500601994996654[/C][/ROW]
[ROW][C]0.2[/C][C]13.8386022497115[/C][C]0.561820302717961[/C][/ROW]
[ROW][C]0.21[/C][C]13.9636031324341[/C][C]0.611200720392552[/C][/ROW]
[ROW][C]0.22[/C][C]14.0960324536721[/C][C]0.643435789377755[/C][/ROW]
[ROW][C]0.23[/C][C]14.2322075381187[/C][C]0.655226123058508[/C][/ROW]
[ROW][C]0.24[/C][C]14.3680017247341[/C][C]0.645722685659393[/C][/ROW]
[ROW][C]0.25[/C][C]14.4993476693005[/C][C]0.616458781636112[/C][/ROW]
[ROW][C]0.26[/C][C]14.622691523685[/C][C]0.571053496465019[/C][/ROW]
[ROW][C]0.27[/C][C]14.735330098371[/C][C]0.514390955655485[/C][/ROW]
[ROW][C]0.28[/C][C]14.835590344667[/C][C]0.451885106734064[/C][/ROW]
[ROW][C]0.29[/C][C]14.9228448836522[/C][C]0.38862685736514[/C][/ROW]
[ROW][C]0.3[/C][C]14.9973885768729[/C][C]0.328824239634129[/C][/ROW]
[ROW][C]0.31[/C][C]15.0602217740944[/C][C]0.275461541760359[/C][/ROW]
[ROW][C]0.32[/C][C]15.1127929241842[/C][C]0.23021873903927[/C][/ROW]
[ROW][C]0.33[/C][C]15.1567480953609[/C][C]0.193530414052715[/C][/ROW]
[ROW][C]0.34[/C][C]15.1937218393867[/C][C]0.16490931768519[/C][/ROW]
[ROW][C]0.35[/C][C]15.2251878007859[/C][C]0.143150035278043[/C][/ROW]
[ROW][C]0.36[/C][C]15.2523727583107[/C][C]0.126686754553499[/C][/ROW]
[ROW][C]0.37[/C][C]15.2762269565963[/C][C]0.113994770443164[/C][/ROW]
[ROW][C]0.38[/C][C]15.2974374477755[/C][C]0.103663357322277[/C][/ROW]
[ROW][C]0.39[/C][C]15.3164692106657[/C][C]0.0946747153130566[/C][/ROW]
[ROW][C]0.4[/C][C]15.333619868366[/C][C]0.0863639660152226[/C][/ROW]
[ROW][C]0.41[/C][C]15.3490765837844[/C][C]0.0783785719438639[/C][/ROW]
[ROW][C]0.42[/C][C]15.362967101351[/C][C]0.0706137150875943[/C][/ROW]
[ROW][C]0.43[/C][C]15.3754001966164[/C][C]0.0631712723276737[/C][/ROW]
[ROW][C]0.44[/C][C]15.3864935937072[/C][C]0.0562234149658621[/C][/ROW]
[ROW][C]0.45[/C][C]15.3963895489504[/C][C]0.0500131153058307[/C][/ROW]
[ROW][C]0.46[/C][C]15.4052597552945[/C][C]0.0447758081099522[/C][/ROW]
[ROW][C]0.47[/C][C]15.4133020517167[/C][C]0.0406868821549915[/C][/ROW]
[ROW][C]0.48[/C][C]15.4207317212224[/C][C]0.0378946328103283[/C][/ROW]
[ROW][C]0.49[/C][C]15.4277700502137[/C][C]0.0364181175001725[/C][/ROW]
[ROW][C]0.5[/C][C]15.4346324316658[/C][C]0.0361807053956257[/C][/ROW]
[ROW][C]0.51[/C][C]15.4415177532965[/C][C]0.0370357268094325[/C][/ROW]
[ROW][C]0.52[/C][C]15.4486002322258[/C][C]0.0387738299540706[/C][/ROW]
[ROW][C]0.53[/C][C]15.456024324232[/C][C]0.0411778396796503[/C][/ROW]
[ROW][C]0.54[/C][C]15.4639028993442[/C][C]0.0440202500745151[/C][/ROW]
[ROW][C]0.55[/C][C]15.4723185529443[/C][C]0.0471595678214846[/C][/ROW]
[ROW][C]0.56[/C][C]15.4813277013299[/C][C]0.0504442835328741[/C][/ROW]
[ROW][C]0.57[/C][C]15.4909669624206[/C][C]0.0537610104466156[/C][/ROW]
[ROW][C]0.58[/C][C]15.5012612084362[/C][C]0.0570710616254729[/C][/ROW]
[ROW][C]0.59[/C][C]15.5122325659374[/C][C]0.0603984042686022[/C][/ROW]
[ROW][C]0.6[/C][C]15.5239095156886[/C][C]0.0637896604752018[/C][/ROW]
[ROW][C]0.61[/C][C]15.5363351236389[/C][C]0.0673742202956501[/C][/ROW]
[ROW][C]0.62[/C][C]15.5495733572023[/C][C]0.0712436164028331[/C][/ROW]
[ROW][C]0.63[/C][C]15.5637124698812[/C][C]0.0755666772215967[/C][/ROW]
[ROW][C]0.64[/C][C]15.5788646327556[/C][C]0.0804831935655505[/C][/ROW]
[ROW][C]0.65[/C][C]15.5951613853451[/C][C]0.0860759765239541[/C][/ROW]
[ROW][C]0.66[/C][C]15.6127450508332[/C][C]0.0923702255616781[/C][/ROW]
[ROW][C]0.67[/C][C]15.631756933439[/C][C]0.0993062963179725[/C][/ROW]
[ROW][C]0.68[/C][C]15.6523237713619[/C][C]0.1067295305075[/C][/ROW]
[ROW][C]0.69[/C][C]15.674544441434[/C][C]0.114427182254084[/C][/ROW]
[ROW][C]0.7[/C][C]15.6984792346004[/C][C]0.122113789694388[/C][/ROW]
[ROW][C]0.71[/C][C]15.7241441555551[/C][C]0.129544436519215[/C][/ROW]
[ROW][C]0.72[/C][C]15.7515127228156[/C][C]0.136438033543402[/C][/ROW]
[ROW][C]0.73[/C][C]15.7805277448145[/C][C]0.142602015017444[/C][/ROW]
[ROW][C]0.74[/C][C]15.8111255379544[/C][C]0.147994805238832[/C][/ROW]
[ROW][C]0.75[/C][C]15.8432749057254[/C][C]0.152707009040881[/C][/ROW]
[ROW][C]0.76[/C][C]15.8770326262544[/C][C]0.157105652997008[/C][/ROW]
[ROW][C]0.77[/C][C]15.9126158072386[/C][C]0.161874299728922[/C][/ROW]
[ROW][C]0.78[/C][C]15.9504888681287[/C][C]0.168113207998332[/C][/ROW]
[ROW][C]0.79[/C][C]15.9914587912578[/C][C]0.177343639067425[/C][/ROW]
[ROW][C]0.8[/C][C]16.0367664457047[/C][C]0.191504010015[/C][/ROW]
[ROW][C]0.81[/C][C]16.0881541319137[/C][C]0.212708770990892[/C][/ROW]
[ROW][C]0.82[/C][C]16.1478801911346[/C][C]0.242881183976407[/C][/ROW]
[ROW][C]0.83[/C][C]16.218641668173[/C][C]0.28330759995975[/C][/ROW]
[ROW][C]0.84[/C][C]16.3033589793872[/C][C]0.334125206532741[/C][/ROW]
[ROW][C]0.85[/C][C]16.4047795621385[/C][C]0.393715482643836[/C][/ROW]
[ROW][C]0.86[/C][C]16.5248819514446[/C][C]0.458100698421072[/C][/ROW]
[ROW][C]0.87[/C][C]16.6641195440539[/C][C]0.520572152825313[/C][/ROW]
[ROW][C]0.88[/C][C]16.8206373857715[/C][C]0.57182636458642[/C][/ROW]
[ROW][C]0.89[/C][C]16.9897060172232[/C][C]0.601174386174646[/C][/ROW]
[ROW][C]0.9[/C][C]17.1636924089393[/C][C]0.598922547721031[/C][/ROW]
[ROW][C]0.91[/C][C]17.3328554928099[/C][C]0.559627724873361[/C][/ROW]
[ROW][C]0.92[/C][C]17.4870540972934[/C][C]0.485135954286588[/C][/ROW]
[ROW][C]0.93[/C][C]17.6181020689011[/C][C]0.385857291748805[/C][/ROW]
[ROW][C]0.94[/C][C]17.722124492922[/C][C]0.279008215788313[/C][/ROW]
[ROW][C]0.95[/C][C]17.801058195441[/C][C]0.184050793927561[/C][/ROW]
[ROW][C]0.96[/C][C]17.86250481743[/C][C]0.117515918431416[/C][/ROW]
[ROW][C]0.97[/C][C]17.9172848198588[/C][C]0.0891778122870017[/C][/ROW]
[ROW][C]0.98[/C][C]17.9739719568039[/C][C]0.0936139324536361[/C][/ROW]
[ROW][C]0.99[/C][C]18.0306164498382[/C][C]0.112251130736103[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161132&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161132&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
0.0111.82044068836770.0573687335220176
0.0211.8587887087310.0863256142340381
0.0311.91773617009830.161692170672273
0.0412.00420472629060.266363325651553
0.0512.12237582751590.374002978269979
0.0612.26900254447220.458312702908028
0.0712.43383786745970.50183656851366
0.0812.60327160145890.500694795800507
0.0912.76454224824640.463267532543558
0.112.90875353317460.405023863142773
0.1113.03205506023760.34277241025869
0.1213.13523103139620.29079787005181
0.1313.22237676871540.259193812821116
0.1413.29935077403720.253190275395701
0.1513.37244910372660.272678114196288
0.1613.44746525114310.313438365159576
0.1713.52910449730560.369428161235727
0.1813.62064997969830.434128314484633
0.1913.72379452485790.500601994996654
0.213.83860224971150.561820302717961
0.2113.96360313243410.611200720392552
0.2214.09603245367210.643435789377755
0.2314.23220753811870.655226123058508
0.2414.36800172473410.645722685659393
0.2514.49934766930050.616458781636112
0.2614.6226915236850.571053496465019
0.2714.7353300983710.514390955655485
0.2814.8355903446670.451885106734064
0.2914.92284488365220.38862685736514
0.314.99738857687290.328824239634129
0.3115.06022177409440.275461541760359
0.3215.11279292418420.23021873903927
0.3315.15674809536090.193530414052715
0.3415.19372183938670.16490931768519
0.3515.22518780078590.143150035278043
0.3615.25237275831070.126686754553499
0.3715.27622695659630.113994770443164
0.3815.29743744777550.103663357322277
0.3915.31646921066570.0946747153130566
0.415.3336198683660.0863639660152226
0.4115.34907658378440.0783785719438639
0.4215.3629671013510.0706137150875943
0.4315.37540019661640.0631712723276737
0.4415.38649359370720.0562234149658621
0.4515.39638954895040.0500131153058307
0.4615.40525975529450.0447758081099522
0.4715.41330205171670.0406868821549915
0.4815.42073172122240.0378946328103283
0.4915.42777005021370.0364181175001725
0.515.43463243166580.0361807053956257
0.5115.44151775329650.0370357268094325
0.5215.44860023222580.0387738299540706
0.5315.4560243242320.0411778396796503
0.5415.46390289934420.0440202500745151
0.5515.47231855294430.0471595678214846
0.5615.48132770132990.0504442835328741
0.5715.49096696242060.0537610104466156
0.5815.50126120843620.0570710616254729
0.5915.51223256593740.0603984042686022
0.615.52390951568860.0637896604752018
0.6115.53633512363890.0673742202956501
0.6215.54957335720230.0712436164028331
0.6315.56371246988120.0755666772215967
0.6415.57886463275560.0804831935655505
0.6515.59516138534510.0860759765239541
0.6615.61274505083320.0923702255616781
0.6715.6317569334390.0993062963179725
0.6815.65232377136190.1067295305075
0.6915.6745444414340.114427182254084
0.715.69847923460040.122113789694388
0.7115.72414415555510.129544436519215
0.7215.75151272281560.136438033543402
0.7315.78052774481450.142602015017444
0.7415.81112553795440.147994805238832
0.7515.84327490572540.152707009040881
0.7615.87703262625440.157105652997008
0.7715.91261580723860.161874299728922
0.7815.95048886812870.168113207998332
0.7915.99145879125780.177343639067425
0.816.03676644570470.191504010015
0.8116.08815413191370.212708770990892
0.8216.14788019113460.242881183976407
0.8316.2186416681730.28330759995975
0.8416.30335897938720.334125206532741
0.8516.40477956213850.393715482643836
0.8616.52488195144460.458100698421072
0.8716.66411954405390.520572152825313
0.8816.82063738577150.57182636458642
0.8916.98970601722320.601174386174646
0.917.16369240893930.598922547721031
0.9117.33285549280990.559627724873361
0.9217.48705409729340.485135954286588
0.9317.61810206890110.385857291748805
0.9417.7221244929220.279008215788313
0.9517.8010581954410.184050793927561
0.9617.862504817430.117515918431416
0.9717.91728481985880.0891778122870017
0.9817.97397195680390.0936139324536361
0.9918.03061644983820.112251130736103


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')