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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, 11 Aug 2008 05:03:00 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Aug/11/t1218452615yxz1u4yfmbjzq44.htm/, Retrieved Tue, 14 May 2024 19:53:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=13933, Retrieved Tue, 14 May 2024 19:53:11 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact214

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] [Michaël Mertens o...] [2008-08-11 11:03:00] [8ef116c437494d1794893d3b8a73922a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15,14
15,09
15,17
15,18
15,21
15,27
15,28
15,3
15,34
15,33
15,27
15,35
15,38
15,38
15,39
15,4
15,39
15,43
15,43
15,47
15,48
15,47
15,58
15,56
15,61
15,56
15,62
15,63
15,58
15,65
15,79
15,76
15,77
15,79
15,87
15,79
15,9
15,96
16,05
16,18
16,29
16,43
16,38
16,39
16,35
16,48
16,52
16,44
16,46
16,52
16,47
16,59
16,59
16,59
16,54
16,48
16,47
16,56
16,61
16,57
16,72
16,69
16,72
16,81
16,75
16,85
16,84
16,92
17,02
17,11
17,2
17,3
17,37
17,42
17,51
17,56
17,62
17,59
17,78
17,73
17,79
17,85
17,86
17,79
17,97
17,96
18,03
18,02
18,03
18,14
18,16
18,24
18,28
18,18
18,19
18,32

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13933&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13933&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13933&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0115.11268930946920.0420499696251788
0.0215.14390058787710.0375348290057528
0.0315.17272046888710.0401929440808724
0.0415.19870176805930.0453680066605335
0.0515.22318481260290.048179793427579
0.0615.24623011382220.0477078422015819
0.0715.26740458846370.0457896292536733
0.0815.28660631065220.0442014917382058
0.0915.30411012493030.0433459071943929
0.115.32028172122340.0427172381596016
0.1115.33538931268620.0419489027703315
0.1215.34960794586010.0411504111477148
0.1315.36311510367910.0407729100462492
0.1415.37616619780290.0414060120452297
0.1515.3891049850140.043438259704066
0.1615.4023193430180.0469396460544997
0.1715.41617400886350.0516544061349389
0.1815.43094961984480.0571270601224781
0.1915.44680627300510.0628245023406024
0.215.46377811597230.0683111321260282
0.2115.48179630086950.0732490590839873
0.2215.50073163771540.077549907783501
0.2315.52044528618590.0813003082971136
0.2415.54083554963790.0848066356394483
0.2515.56187114218690.0884617545661919
0.2615.58360586120960.0927144705457028
0.2715.60617537385980.0978974647569049
0.2815.62978195350710.104200084872149
0.2915.65467542964320.111732283709697
0.315.68113718557020.120618583436362
0.3115.70946930207980.130916335154279
0.3215.73998511793130.142726955795926
0.3315.77299348313460.156112130648423
0.3415.80876906233280.17086139289249
0.3515.84750566261600.186501260081604
0.3615.88925711425530.202155989081948
0.3715.93387772983680.216645998523407
0.3815.98097867911350.228654119921913
0.3916.02991576320570.236779413490290
0.416.07981798281600.240045777483619
0.4116.12965678714830.237855176218965
0.4216.17834592891040.230159158737793
0.4316.22485444975090.217535023886733
0.4416.26831252053230.200977641140008
0.4516.30809215156170.181915810766863
0.4616.34385112229600.161734018595117
0.4716.37553679582470.141948751205316
0.4816.4033544722380.123693561240415
0.4916.42771075393390.107824609578929
0.516.44914509264440.0948798404563572
0.5116.4682622623550.085113439577006
0.5216.48567567797490.0783059212452109
0.5316.50196734371060.0742752955385856
0.5416.51766588100380.072650251121049
0.5516.53324046587410.0730347331070277
0.5616.54910619789300.0752555691642405
0.5716.56563567105730.0790316936700187
0.5816.58317219977270.0842997819381125
0.5916.60204180832080.0909529372238222
0.616.62256300111110.0989519868550797
0.6116.64505470131450.108273943883151
0.6216.66984297412460.118911699451782
0.6316.69726609072490.130881882926234
0.6416.72767559628390.144291514280021
0.6516.76142930112330.159086324783145
0.6616.7988716918780.175250824539327
0.6716.84029902536960.192452040148472
0.6816.88591040500170.210144530136181
0.6916.93575151379800.227459693505204
0.716.98966260323900.243328414433296
0.7117.04724474345860.256598897885965
0.7217.10785668197430.266223171958177
0.7317.17064865732070.271389093010079
0.7417.23463052751480.271693229161454
0.7517.29876236306320.267233583125138
0.7617.36204953757530.258552038430924
0.7717.42362392490530.246466895629553
0.7817.48279866370380.231989434903436
0.7917.53909388793950.216091777642524
0.817.59224026341160.199639294796432
0.8117.64217102200770.183387173947132
0.8217.68900886261580.167996442347706
0.8317.73304422462960.154059835869583
0.8417.774694014770.142033890162451
0.8517.81443397322010.132113426650031
0.8617.85271594331430.124023685873459
0.8717.88990262285510.117127209722033
0.8817.92625515407150.110741117629972
0.8917.96197613944710.104597637441775
0.917.99725418984970.0988862804056002
0.9118.03222817438050.0937515621072027
0.9218.06685303027990.0885917033236116
0.9318.10080089041490.082014302449345
0.9418.1336329950790.0731656886621393
0.9518.16531772810110.0633343600855984
0.9618.19672878262360.0556888836056631
0.9718.22944405831100.0515644951783568
0.9818.26432119965690.0475147756692232
0.9918.298227948350.0416614732785013

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15.1126893094692 & 0.0420499696251788 \tabularnewline
0.02 & 15.1439005878771 & 0.0375348290057528 \tabularnewline
0.03 & 15.1727204688871 & 0.0401929440808724 \tabularnewline
0.04 & 15.1987017680593 & 0.0453680066605335 \tabularnewline
0.05 & 15.2231848126029 & 0.048179793427579 \tabularnewline
0.06 & 15.2462301138222 & 0.0477078422015819 \tabularnewline
0.07 & 15.2674045884637 & 0.0457896292536733 \tabularnewline
0.08 & 15.2866063106522 & 0.0442014917382058 \tabularnewline
0.09 & 15.3041101249303 & 0.0433459071943929 \tabularnewline
0.1 & 15.3202817212234 & 0.0427172381596016 \tabularnewline
0.11 & 15.3353893126862 & 0.0419489027703315 \tabularnewline
0.12 & 15.3496079458601 & 0.0411504111477148 \tabularnewline
0.13 & 15.3631151036791 & 0.0407729100462492 \tabularnewline
0.14 & 15.3761661978029 & 0.0414060120452297 \tabularnewline
0.15 & 15.389104985014 & 0.043438259704066 \tabularnewline
0.16 & 15.402319343018 & 0.0469396460544997 \tabularnewline
0.17 & 15.4161740088635 & 0.0516544061349389 \tabularnewline
0.18 & 15.4309496198448 & 0.0571270601224781 \tabularnewline
0.19 & 15.4468062730051 & 0.0628245023406024 \tabularnewline
0.2 & 15.4637781159723 & 0.0683111321260282 \tabularnewline
0.21 & 15.4817963008695 & 0.0732490590839873 \tabularnewline
0.22 & 15.5007316377154 & 0.077549907783501 \tabularnewline
0.23 & 15.5204452861859 & 0.0813003082971136 \tabularnewline
0.24 & 15.5408355496379 & 0.0848066356394483 \tabularnewline
0.25 & 15.5618711421869 & 0.0884617545661919 \tabularnewline
0.26 & 15.5836058612096 & 0.0927144705457028 \tabularnewline
0.27 & 15.6061753738598 & 0.0978974647569049 \tabularnewline
0.28 & 15.6297819535071 & 0.104200084872149 \tabularnewline
0.29 & 15.6546754296432 & 0.111732283709697 \tabularnewline
0.3 & 15.6811371855702 & 0.120618583436362 \tabularnewline
0.31 & 15.7094693020798 & 0.130916335154279 \tabularnewline
0.32 & 15.7399851179313 & 0.142726955795926 \tabularnewline
0.33 & 15.7729934831346 & 0.156112130648423 \tabularnewline
0.34 & 15.8087690623328 & 0.17086139289249 \tabularnewline
0.35 & 15.8475056626160 & 0.186501260081604 \tabularnewline
0.36 & 15.8892571142553 & 0.202155989081948 \tabularnewline
0.37 & 15.9338777298368 & 0.216645998523407 \tabularnewline
0.38 & 15.9809786791135 & 0.228654119921913 \tabularnewline
0.39 & 16.0299157632057 & 0.236779413490290 \tabularnewline
0.4 & 16.0798179828160 & 0.240045777483619 \tabularnewline
0.41 & 16.1296567871483 & 0.237855176218965 \tabularnewline
0.42 & 16.1783459289104 & 0.230159158737793 \tabularnewline
0.43 & 16.2248544497509 & 0.217535023886733 \tabularnewline
0.44 & 16.2683125205323 & 0.200977641140008 \tabularnewline
0.45 & 16.3080921515617 & 0.181915810766863 \tabularnewline
0.46 & 16.3438511222960 & 0.161734018595117 \tabularnewline
0.47 & 16.3755367958247 & 0.141948751205316 \tabularnewline
0.48 & 16.403354472238 & 0.123693561240415 \tabularnewline
0.49 & 16.4277107539339 & 0.107824609578929 \tabularnewline
0.5 & 16.4491450926444 & 0.0948798404563572 \tabularnewline
0.51 & 16.468262262355 & 0.085113439577006 \tabularnewline
0.52 & 16.4856756779749 & 0.0783059212452109 \tabularnewline
0.53 & 16.5019673437106 & 0.0742752955385856 \tabularnewline
0.54 & 16.5176658810038 & 0.072650251121049 \tabularnewline
0.55 & 16.5332404658741 & 0.0730347331070277 \tabularnewline
0.56 & 16.5491061978930 & 0.0752555691642405 \tabularnewline
0.57 & 16.5656356710573 & 0.0790316936700187 \tabularnewline
0.58 & 16.5831721997727 & 0.0842997819381125 \tabularnewline
0.59 & 16.6020418083208 & 0.0909529372238222 \tabularnewline
0.6 & 16.6225630011111 & 0.0989519868550797 \tabularnewline
0.61 & 16.6450547013145 & 0.108273943883151 \tabularnewline
0.62 & 16.6698429741246 & 0.118911699451782 \tabularnewline
0.63 & 16.6972660907249 & 0.130881882926234 \tabularnewline
0.64 & 16.7276755962839 & 0.144291514280021 \tabularnewline
0.65 & 16.7614293011233 & 0.159086324783145 \tabularnewline
0.66 & 16.798871691878 & 0.175250824539327 \tabularnewline
0.67 & 16.8402990253696 & 0.192452040148472 \tabularnewline
0.68 & 16.8859104050017 & 0.210144530136181 \tabularnewline
0.69 & 16.9357515137980 & 0.227459693505204 \tabularnewline
0.7 & 16.9896626032390 & 0.243328414433296 \tabularnewline
0.71 & 17.0472447434586 & 0.256598897885965 \tabularnewline
0.72 & 17.1078566819743 & 0.266223171958177 \tabularnewline
0.73 & 17.1706486573207 & 0.271389093010079 \tabularnewline
0.74 & 17.2346305275148 & 0.271693229161454 \tabularnewline
0.75 & 17.2987623630632 & 0.267233583125138 \tabularnewline
0.76 & 17.3620495375753 & 0.258552038430924 \tabularnewline
0.77 & 17.4236239249053 & 0.246466895629553 \tabularnewline
0.78 & 17.4827986637038 & 0.231989434903436 \tabularnewline
0.79 & 17.5390938879395 & 0.216091777642524 \tabularnewline
0.8 & 17.5922402634116 & 0.199639294796432 \tabularnewline
0.81 & 17.6421710220077 & 0.183387173947132 \tabularnewline
0.82 & 17.6890088626158 & 0.167996442347706 \tabularnewline
0.83 & 17.7330442246296 & 0.154059835869583 \tabularnewline
0.84 & 17.77469401477 & 0.142033890162451 \tabularnewline
0.85 & 17.8144339732201 & 0.132113426650031 \tabularnewline
0.86 & 17.8527159433143 & 0.124023685873459 \tabularnewline
0.87 & 17.8899026228551 & 0.117127209722033 \tabularnewline
0.88 & 17.9262551540715 & 0.110741117629972 \tabularnewline
0.89 & 17.9619761394471 & 0.104597637441775 \tabularnewline
0.9 & 17.9972541898497 & 0.0988862804056002 \tabularnewline
0.91 & 18.0322281743805 & 0.0937515621072027 \tabularnewline
0.92 & 18.0668530302799 & 0.0885917033236116 \tabularnewline
0.93 & 18.1008008904149 & 0.082014302449345 \tabularnewline
0.94 & 18.133632995079 & 0.0731656886621393 \tabularnewline
0.95 & 18.1653177281011 & 0.0633343600855984 \tabularnewline
0.96 & 18.1967287826236 & 0.0556888836056631 \tabularnewline
0.97 & 18.2294440583110 & 0.0515644951783568 \tabularnewline
0.98 & 18.2643211996569 & 0.0475147756692232 \tabularnewline
0.99 & 18.29822794835 & 0.0416614732785013 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=13933&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]15.1126893094692[/C][C]0.0420499696251788[/C][/ROW]
[ROW][C]0.02[/C][C]15.1439005878771[/C][C]0.0375348290057528[/C][/ROW]
[ROW][C]0.03[/C][C]15.1727204688871[/C][C]0.0401929440808724[/C][/ROW]
[ROW][C]0.04[/C][C]15.1987017680593[/C][C]0.0453680066605335[/C][/ROW]
[ROW][C]0.05[/C][C]15.2231848126029[/C][C]0.048179793427579[/C][/ROW]
[ROW][C]0.06[/C][C]15.2462301138222[/C][C]0.0477078422015819[/C][/ROW]
[ROW][C]0.07[/C][C]15.2674045884637[/C][C]0.0457896292536733[/C][/ROW]
[ROW][C]0.08[/C][C]15.2866063106522[/C][C]0.0442014917382058[/C][/ROW]
[ROW][C]0.09[/C][C]15.3041101249303[/C][C]0.0433459071943929[/C][/ROW]
[ROW][C]0.1[/C][C]15.3202817212234[/C][C]0.0427172381596016[/C][/ROW]
[ROW][C]0.11[/C][C]15.3353893126862[/C][C]0.0419489027703315[/C][/ROW]
[ROW][C]0.12[/C][C]15.3496079458601[/C][C]0.0411504111477148[/C][/ROW]
[ROW][C]0.13[/C][C]15.3631151036791[/C][C]0.0407729100462492[/C][/ROW]
[ROW][C]0.14[/C][C]15.3761661978029[/C][C]0.0414060120452297[/C][/ROW]
[ROW][C]0.15[/C][C]15.389104985014[/C][C]0.043438259704066[/C][/ROW]
[ROW][C]0.16[/C][C]15.402319343018[/C][C]0.0469396460544997[/C][/ROW]
[ROW][C]0.17[/C][C]15.4161740088635[/C][C]0.0516544061349389[/C][/ROW]
[ROW][C]0.18[/C][C]15.4309496198448[/C][C]0.0571270601224781[/C][/ROW]
[ROW][C]0.19[/C][C]15.4468062730051[/C][C]0.0628245023406024[/C][/ROW]
[ROW][C]0.2[/C][C]15.4637781159723[/C][C]0.0683111321260282[/C][/ROW]
[ROW][C]0.21[/C][C]15.4817963008695[/C][C]0.0732490590839873[/C][/ROW]
[ROW][C]0.22[/C][C]15.5007316377154[/C][C]0.077549907783501[/C][/ROW]
[ROW][C]0.23[/C][C]15.5204452861859[/C][C]0.0813003082971136[/C][/ROW]
[ROW][C]0.24[/C][C]15.5408355496379[/C][C]0.0848066356394483[/C][/ROW]
[ROW][C]0.25[/C][C]15.5618711421869[/C][C]0.0884617545661919[/C][/ROW]
[ROW][C]0.26[/C][C]15.5836058612096[/C][C]0.0927144705457028[/C][/ROW]
[ROW][C]0.27[/C][C]15.6061753738598[/C][C]0.0978974647569049[/C][/ROW]
[ROW][C]0.28[/C][C]15.6297819535071[/C][C]0.104200084872149[/C][/ROW]
[ROW][C]0.29[/C][C]15.6546754296432[/C][C]0.111732283709697[/C][/ROW]
[ROW][C]0.3[/C][C]15.6811371855702[/C][C]0.120618583436362[/C][/ROW]
[ROW][C]0.31[/C][C]15.7094693020798[/C][C]0.130916335154279[/C][/ROW]
[ROW][C]0.32[/C][C]15.7399851179313[/C][C]0.142726955795926[/C][/ROW]
[ROW][C]0.33[/C][C]15.7729934831346[/C][C]0.156112130648423[/C][/ROW]
[ROW][C]0.34[/C][C]15.8087690623328[/C][C]0.17086139289249[/C][/ROW]
[ROW][C]0.35[/C][C]15.8475056626160[/C][C]0.186501260081604[/C][/ROW]
[ROW][C]0.36[/C][C]15.8892571142553[/C][C]0.202155989081948[/C][/ROW]
[ROW][C]0.37[/C][C]15.9338777298368[/C][C]0.216645998523407[/C][/ROW]
[ROW][C]0.38[/C][C]15.9809786791135[/C][C]0.228654119921913[/C][/ROW]
[ROW][C]0.39[/C][C]16.0299157632057[/C][C]0.236779413490290[/C][/ROW]
[ROW][C]0.4[/C][C]16.0798179828160[/C][C]0.240045777483619[/C][/ROW]
[ROW][C]0.41[/C][C]16.1296567871483[/C][C]0.237855176218965[/C][/ROW]
[ROW][C]0.42[/C][C]16.1783459289104[/C][C]0.230159158737793[/C][/ROW]
[ROW][C]0.43[/C][C]16.2248544497509[/C][C]0.217535023886733[/C][/ROW]
[ROW][C]0.44[/C][C]16.2683125205323[/C][C]0.200977641140008[/C][/ROW]
[ROW][C]0.45[/C][C]16.3080921515617[/C][C]0.181915810766863[/C][/ROW]
[ROW][C]0.46[/C][C]16.3438511222960[/C][C]0.161734018595117[/C][/ROW]
[ROW][C]0.47[/C][C]16.3755367958247[/C][C]0.141948751205316[/C][/ROW]
[ROW][C]0.48[/C][C]16.403354472238[/C][C]0.123693561240415[/C][/ROW]
[ROW][C]0.49[/C][C]16.4277107539339[/C][C]0.107824609578929[/C][/ROW]
[ROW][C]0.5[/C][C]16.4491450926444[/C][C]0.0948798404563572[/C][/ROW]
[ROW][C]0.51[/C][C]16.468262262355[/C][C]0.085113439577006[/C][/ROW]
[ROW][C]0.52[/C][C]16.4856756779749[/C][C]0.0783059212452109[/C][/ROW]
[ROW][C]0.53[/C][C]16.5019673437106[/C][C]0.0742752955385856[/C][/ROW]
[ROW][C]0.54[/C][C]16.5176658810038[/C][C]0.072650251121049[/C][/ROW]
[ROW][C]0.55[/C][C]16.5332404658741[/C][C]0.0730347331070277[/C][/ROW]
[ROW][C]0.56[/C][C]16.5491061978930[/C][C]0.0752555691642405[/C][/ROW]
[ROW][C]0.57[/C][C]16.5656356710573[/C][C]0.0790316936700187[/C][/ROW]
[ROW][C]0.58[/C][C]16.5831721997727[/C][C]0.0842997819381125[/C][/ROW]
[ROW][C]0.59[/C][C]16.6020418083208[/C][C]0.0909529372238222[/C][/ROW]
[ROW][C]0.6[/C][C]16.6225630011111[/C][C]0.0989519868550797[/C][/ROW]
[ROW][C]0.61[/C][C]16.6450547013145[/C][C]0.108273943883151[/C][/ROW]
[ROW][C]0.62[/C][C]16.6698429741246[/C][C]0.118911699451782[/C][/ROW]
[ROW][C]0.63[/C][C]16.6972660907249[/C][C]0.130881882926234[/C][/ROW]
[ROW][C]0.64[/C][C]16.7276755962839[/C][C]0.144291514280021[/C][/ROW]
[ROW][C]0.65[/C][C]16.7614293011233[/C][C]0.159086324783145[/C][/ROW]
[ROW][C]0.66[/C][C]16.798871691878[/C][C]0.175250824539327[/C][/ROW]
[ROW][C]0.67[/C][C]16.8402990253696[/C][C]0.192452040148472[/C][/ROW]
[ROW][C]0.68[/C][C]16.8859104050017[/C][C]0.210144530136181[/C][/ROW]
[ROW][C]0.69[/C][C]16.9357515137980[/C][C]0.227459693505204[/C][/ROW]
[ROW][C]0.7[/C][C]16.9896626032390[/C][C]0.243328414433296[/C][/ROW]
[ROW][C]0.71[/C][C]17.0472447434586[/C][C]0.256598897885965[/C][/ROW]
[ROW][C]0.72[/C][C]17.1078566819743[/C][C]0.266223171958177[/C][/ROW]
[ROW][C]0.73[/C][C]17.1706486573207[/C][C]0.271389093010079[/C][/ROW]
[ROW][C]0.74[/C][C]17.2346305275148[/C][C]0.271693229161454[/C][/ROW]
[ROW][C]0.75[/C][C]17.2987623630632[/C][C]0.267233583125138[/C][/ROW]
[ROW][C]0.76[/C][C]17.3620495375753[/C][C]0.258552038430924[/C][/ROW]
[ROW][C]0.77[/C][C]17.4236239249053[/C][C]0.246466895629553[/C][/ROW]
[ROW][C]0.78[/C][C]17.4827986637038[/C][C]0.231989434903436[/C][/ROW]
[ROW][C]0.79[/C][C]17.5390938879395[/C][C]0.216091777642524[/C][/ROW]
[ROW][C]0.8[/C][C]17.5922402634116[/C][C]0.199639294796432[/C][/ROW]
[ROW][C]0.81[/C][C]17.6421710220077[/C][C]0.183387173947132[/C][/ROW]
[ROW][C]0.82[/C][C]17.6890088626158[/C][C]0.167996442347706[/C][/ROW]
[ROW][C]0.83[/C][C]17.7330442246296[/C][C]0.154059835869583[/C][/ROW]
[ROW][C]0.84[/C][C]17.77469401477[/C][C]0.142033890162451[/C][/ROW]
[ROW][C]0.85[/C][C]17.8144339732201[/C][C]0.132113426650031[/C][/ROW]
[ROW][C]0.86[/C][C]17.8527159433143[/C][C]0.124023685873459[/C][/ROW]
[ROW][C]0.87[/C][C]17.8899026228551[/C][C]0.117127209722033[/C][/ROW]
[ROW][C]0.88[/C][C]17.9262551540715[/C][C]0.110741117629972[/C][/ROW]
[ROW][C]0.89[/C][C]17.9619761394471[/C][C]0.104597637441775[/C][/ROW]
[ROW][C]0.9[/C][C]17.9972541898497[/C][C]0.0988862804056002[/C][/ROW]
[ROW][C]0.91[/C][C]18.0322281743805[/C][C]0.0937515621072027[/C][/ROW]
[ROW][C]0.92[/C][C]18.0668530302799[/C][C]0.0885917033236116[/C][/ROW]
[ROW][C]0.93[/C][C]18.1008008904149[/C][C]0.082014302449345[/C][/ROW]
[ROW][C]0.94[/C][C]18.133632995079[/C][C]0.0731656886621393[/C][/ROW]
[ROW][C]0.95[/C][C]18.1653177281011[/C][C]0.0633343600855984[/C][/ROW]
[ROW][C]0.96[/C][C]18.1967287826236[/C][C]0.0556888836056631[/C][/ROW]
[ROW][C]0.97[/C][C]18.2294440583110[/C][C]0.0515644951783568[/C][/ROW]
[ROW][C]0.98[/C][C]18.2643211996569[/C][C]0.0475147756692232[/C][/ROW]
[ROW][C]0.99[/C][C]18.29822794835[/C][C]0.0416614732785013[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=13933&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=13933&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
0.0115.11268930946920.0420499696251788
0.0215.14390058787710.0375348290057528
0.0315.17272046888710.0401929440808724
0.0415.19870176805930.0453680066605335
0.0515.22318481260290.048179793427579
0.0615.24623011382220.0477078422015819
0.0715.26740458846370.0457896292536733
0.0815.28660631065220.0442014917382058
0.0915.30411012493030.0433459071943929
0.115.32028172122340.0427172381596016
0.1115.33538931268620.0419489027703315
0.1215.34960794586010.0411504111477148
0.1315.36311510367910.0407729100462492
0.1415.37616619780290.0414060120452297
0.1515.3891049850140.043438259704066
0.1615.4023193430180.0469396460544997
0.1715.41617400886350.0516544061349389
0.1815.43094961984480.0571270601224781
0.1915.44680627300510.0628245023406024
0.215.46377811597230.0683111321260282
0.2115.48179630086950.0732490590839873
0.2215.50073163771540.077549907783501
0.2315.52044528618590.0813003082971136
0.2415.54083554963790.0848066356394483
0.2515.56187114218690.0884617545661919
0.2615.58360586120960.0927144705457028
0.2715.60617537385980.0978974647569049
0.2815.62978195350710.104200084872149
0.2915.65467542964320.111732283709697
0.315.68113718557020.120618583436362
0.3115.70946930207980.130916335154279
0.3215.73998511793130.142726955795926
0.3315.77299348313460.156112130648423
0.3415.80876906233280.17086139289249
0.3515.84750566261600.186501260081604
0.3615.88925711425530.202155989081948
0.3715.93387772983680.216645998523407
0.3815.98097867911350.228654119921913
0.3916.02991576320570.236779413490290
0.416.07981798281600.240045777483619
0.4116.12965678714830.237855176218965
0.4216.17834592891040.230159158737793
0.4316.22485444975090.217535023886733
0.4416.26831252053230.200977641140008
0.4516.30809215156170.181915810766863
0.4616.34385112229600.161734018595117
0.4716.37553679582470.141948751205316
0.4816.4033544722380.123693561240415
0.4916.42771075393390.107824609578929
0.516.44914509264440.0948798404563572
0.5116.4682622623550.085113439577006
0.5216.48567567797490.0783059212452109
0.5316.50196734371060.0742752955385856
0.5416.51766588100380.072650251121049
0.5516.53324046587410.0730347331070277
0.5616.54910619789300.0752555691642405
0.5716.56563567105730.0790316936700187
0.5816.58317219977270.0842997819381125
0.5916.60204180832080.0909529372238222
0.616.62256300111110.0989519868550797
0.6116.64505470131450.108273943883151
0.6216.66984297412460.118911699451782
0.6316.69726609072490.130881882926234
0.6416.72767559628390.144291514280021
0.6516.76142930112330.159086324783145
0.6616.7988716918780.175250824539327
0.6716.84029902536960.192452040148472
0.6816.88591040500170.210144530136181
0.6916.93575151379800.227459693505204
0.716.98966260323900.243328414433296
0.7117.04724474345860.256598897885965
0.7217.10785668197430.266223171958177
0.7317.17064865732070.271389093010079
0.7417.23463052751480.271693229161454
0.7517.29876236306320.267233583125138
0.7617.36204953757530.258552038430924
0.7717.42362392490530.246466895629553
0.7817.48279866370380.231989434903436
0.7917.53909388793950.216091777642524
0.817.59224026341160.199639294796432
0.8117.64217102200770.183387173947132
0.8217.68900886261580.167996442347706
0.8317.73304422462960.154059835869583
0.8417.774694014770.142033890162451
0.8517.81443397322010.132113426650031
0.8617.85271594331430.124023685873459
0.8717.88990262285510.117127209722033
0.8817.92625515407150.110741117629972
0.8917.96197613944710.104597637441775
0.917.99725418984970.0988862804056002
0.9118.03222817438050.0937515621072027
0.9218.06685303027990.0885917033236116
0.9318.10080089041490.082014302449345
0.9418.1336329950790.0731656886621393
0.9518.16531772810110.0633343600855984
0.9618.19672878262360.0556888836056631
0.9718.22944405831100.0515644951783568
0.9818.26432119965690.0475147756692232
0.9918.298227948350.0416614732785013


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')