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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, 21 Aug 2011 05:35:07 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Aug/21/t1313919331epk83sdzingm4og.htm/, Retrieved Wed, 15 May 2024 21:28:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=124224, Retrieved Wed, 15 May 2024 21:28:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsBlij Arnaud
Estimated Impact108

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Tijdreeks 2 - Stap 7] [2011-08-21 09:35:07] [50083fea611f0183deb36cab794727ad] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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730
630
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660
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860
670
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690
680
740
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670
750
890
730
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940
740
640
640
750
770
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640
730
970
780
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1050
790
610
530
750
730
870
670
750
1090
830
740
1010
780
640
590
770
650
880
700
790
1140
860
630
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720
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1120
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810
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630
1080

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=124224&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=124224&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=124224&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
0.1608.52924840848112.6372040055169
0.11613.21917505737612.3694430907682
0.12617.54955674375311.8896425744406
0.13621.5158802415411.1237920398337
0.14625.10428865415110.2268004126267
0.15628.3401087614569.46447391921151
0.16631.3039985530519.07540748563259
0.17634.1168326636439.17233183535774
0.18636.9094574348699.71889555769641
0.19639.7934076798310.5813402711286
0.2642.84148458185311.5855844597153
0.21646.08029883148312.5563969209175
0.22649.49347783209613.3465929776539
0.23653.03323538511513.8648215738536
0.24656.63735738875814.0973202587534
0.25660.24757457701914.1090183840305
0.26663.8245336036814.020556028858
0.27667.35527381848113.966107223156
0.28670.85153677765614.045378505878
0.29674.34046247169814.2904479149397
0.3677.85177427924414.660580097539
0.31681.4062970303815.0717111144051
0.32685.00941828553715.4337485266415
0.33688.65065975046715.680343080378
0.34692.30807933885415.7860436922181
0.35695.95478478954315.7556685942139
0.36699.56479256809415.6165276145274
0.37703.11651503893415.3988381630383
0.38706.59359766224615.1210781534586
0.39709.98394596681414.7936457512921
0.4713.27818948421514.4170317402449
0.41716.46855930148513.9943633844586
0.42719.54854037447813.5304014337198
0.43722.51309686306813.0367214248702
0.44725.3590148356712.5273233345954
0.45728.08499513415412.0123179455696
0.46730.69141953521311.5005239366282
0.47733.18000813320610.9937621133575
0.48735.55373597670410.4968420596892
0.49737.81732853124410.0158030426436
0.5739.9784396782619.56595857235065
0.51742.0493131031529.1702056344596
0.52744.0484365233898.86322413720054
0.53746.0015167856928.68507281500733
0.54747.9411155422548.67374162171498
0.55749.9045326933448.85125998082118
0.56751.9299793600519.21393907413348
0.57754.0516277593339.72475639190932
0.58756.29458056830510.3232220002567
0.59758.67098483291310.9344380548241
0.6761.17832453113411.4818983751375
0.61763.80040019402411.9065796377632
0.62766.51081729178312.1743403114819
0.63769.27819475777512.2771266404959
0.64772.071966614112.2369289600248
0.65774.86765377511212.0933941710491
0.66777.65076038259811.8999459930328
0.67780.41885014487711.7142723089714
0.68783.18174919340111.5890127111293
0.69785.96015102848911.5680869362479
0.7788.78318626396511.678488315048
0.71791.68577540346511.933678726329
0.72794.70671869680912.3340502585566
0.73797.88830055791912.8779137006458
0.74801.27752518834813.5757572972523
0.75804.92801384787714.4518169555406
0.76808.90052389319915.5361562231729
0.77813.25974920585516.8436694600897
0.78818.06624546184818.337276090603
0.79823.365158586219.9211552980976
0.8829.1771596955821.4553556104017
0.81835.49994767600122.8107854657561
0.82842.3288367099423.9523955120317
0.83849.70067304201225.0270465554352
0.84857.75609441927826.4344965733602
0.85866.801997706228.8022810892998
0.86877.34219705976332.8078050170631
0.87890.03597237347238.8206574736457
0.88905.55163154956846.5260430594024
0.89924.31648058860954.7336369394007
0.9946.22807315110861.4989929374718

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 608.529248408481 & 12.6372040055169 \tabularnewline
0.11 & 613.219175057376 & 12.3694430907682 \tabularnewline
0.12 & 617.549556743753 & 11.8896425744406 \tabularnewline
0.13 & 621.51588024154 & 11.1237920398337 \tabularnewline
0.14 & 625.104288654151 & 10.2268004126267 \tabularnewline
0.15 & 628.340108761456 & 9.46447391921151 \tabularnewline
0.16 & 631.303998553051 & 9.07540748563259 \tabularnewline
0.17 & 634.116832663643 & 9.17233183535774 \tabularnewline
0.18 & 636.909457434869 & 9.71889555769641 \tabularnewline
0.19 & 639.79340767983 & 10.5813402711286 \tabularnewline
0.2 & 642.841484581853 & 11.5855844597153 \tabularnewline
0.21 & 646.080298831483 & 12.5563969209175 \tabularnewline
0.22 & 649.493477832096 & 13.3465929776539 \tabularnewline
0.23 & 653.033235385115 & 13.8648215738536 \tabularnewline
0.24 & 656.637357388758 & 14.0973202587534 \tabularnewline
0.25 & 660.247574577019 & 14.1090183840305 \tabularnewline
0.26 & 663.82453360368 & 14.020556028858 \tabularnewline
0.27 & 667.355273818481 & 13.966107223156 \tabularnewline
0.28 & 670.851536777656 & 14.045378505878 \tabularnewline
0.29 & 674.340462471698 & 14.2904479149397 \tabularnewline
0.3 & 677.851774279244 & 14.660580097539 \tabularnewline
0.31 & 681.40629703038 & 15.0717111144051 \tabularnewline
0.32 & 685.009418285537 & 15.4337485266415 \tabularnewline
0.33 & 688.650659750467 & 15.680343080378 \tabularnewline
0.34 & 692.308079338854 & 15.7860436922181 \tabularnewline
0.35 & 695.954784789543 & 15.7556685942139 \tabularnewline
0.36 & 699.564792568094 & 15.6165276145274 \tabularnewline
0.37 & 703.116515038934 & 15.3988381630383 \tabularnewline
0.38 & 706.593597662246 & 15.1210781534586 \tabularnewline
0.39 & 709.983945966814 & 14.7936457512921 \tabularnewline
0.4 & 713.278189484215 & 14.4170317402449 \tabularnewline
0.41 & 716.468559301485 & 13.9943633844586 \tabularnewline
0.42 & 719.548540374478 & 13.5304014337198 \tabularnewline
0.43 & 722.513096863068 & 13.0367214248702 \tabularnewline
0.44 & 725.35901483567 & 12.5273233345954 \tabularnewline
0.45 & 728.084995134154 & 12.0123179455696 \tabularnewline
0.46 & 730.691419535213 & 11.5005239366282 \tabularnewline
0.47 & 733.180008133206 & 10.9937621133575 \tabularnewline
0.48 & 735.553735976704 & 10.4968420596892 \tabularnewline
0.49 & 737.817328531244 & 10.0158030426436 \tabularnewline
0.5 & 739.978439678261 & 9.56595857235065 \tabularnewline
0.51 & 742.049313103152 & 9.1702056344596 \tabularnewline
0.52 & 744.048436523389 & 8.86322413720054 \tabularnewline
0.53 & 746.001516785692 & 8.68507281500733 \tabularnewline
0.54 & 747.941115542254 & 8.67374162171498 \tabularnewline
0.55 & 749.904532693344 & 8.85125998082118 \tabularnewline
0.56 & 751.929979360051 & 9.21393907413348 \tabularnewline
0.57 & 754.051627759333 & 9.72475639190932 \tabularnewline
0.58 & 756.294580568305 & 10.3232220002567 \tabularnewline
0.59 & 758.670984832913 & 10.9344380548241 \tabularnewline
0.6 & 761.178324531134 & 11.4818983751375 \tabularnewline
0.61 & 763.800400194024 & 11.9065796377632 \tabularnewline
0.62 & 766.510817291783 & 12.1743403114819 \tabularnewline
0.63 & 769.278194757775 & 12.2771266404959 \tabularnewline
0.64 & 772.0719666141 & 12.2369289600248 \tabularnewline
0.65 & 774.867653775112 & 12.0933941710491 \tabularnewline
0.66 & 777.650760382598 & 11.8999459930328 \tabularnewline
0.67 & 780.418850144877 & 11.7142723089714 \tabularnewline
0.68 & 783.181749193401 & 11.5890127111293 \tabularnewline
0.69 & 785.960151028489 & 11.5680869362479 \tabularnewline
0.7 & 788.783186263965 & 11.678488315048 \tabularnewline
0.71 & 791.685775403465 & 11.933678726329 \tabularnewline
0.72 & 794.706718696809 & 12.3340502585566 \tabularnewline
0.73 & 797.888300557919 & 12.8779137006458 \tabularnewline
0.74 & 801.277525188348 & 13.5757572972523 \tabularnewline
0.75 & 804.928013847877 & 14.4518169555406 \tabularnewline
0.76 & 808.900523893199 & 15.5361562231729 \tabularnewline
0.77 & 813.259749205855 & 16.8436694600897 \tabularnewline
0.78 & 818.066245461848 & 18.337276090603 \tabularnewline
0.79 & 823.3651585862 & 19.9211552980976 \tabularnewline
0.8 & 829.17715969558 & 21.4553556104017 \tabularnewline
0.81 & 835.499947676001 & 22.8107854657561 \tabularnewline
0.82 & 842.32883670994 & 23.9523955120317 \tabularnewline
0.83 & 849.700673042012 & 25.0270465554352 \tabularnewline
0.84 & 857.756094419278 & 26.4344965733602 \tabularnewline
0.85 & 866.8019977062 & 28.8022810892998 \tabularnewline
0.86 & 877.342197059763 & 32.8078050170631 \tabularnewline
0.87 & 890.035972373472 & 38.8206574736457 \tabularnewline
0.88 & 905.551631549568 & 46.5260430594024 \tabularnewline
0.89 & 924.316480588609 & 54.7336369394007 \tabularnewline
0.9 & 946.228073151108 & 61.4989929374718 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=124224&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]608.529248408481[/C][C]12.6372040055169[/C][/ROW]
[ROW][C]0.11[/C][C]613.219175057376[/C][C]12.3694430907682[/C][/ROW]
[ROW][C]0.12[/C][C]617.549556743753[/C][C]11.8896425744406[/C][/ROW]
[ROW][C]0.13[/C][C]621.51588024154[/C][C]11.1237920398337[/C][/ROW]
[ROW][C]0.14[/C][C]625.104288654151[/C][C]10.2268004126267[/C][/ROW]
[ROW][C]0.15[/C][C]628.340108761456[/C][C]9.46447391921151[/C][/ROW]
[ROW][C]0.16[/C][C]631.303998553051[/C][C]9.07540748563259[/C][/ROW]
[ROW][C]0.17[/C][C]634.116832663643[/C][C]9.17233183535774[/C][/ROW]
[ROW][C]0.18[/C][C]636.909457434869[/C][C]9.71889555769641[/C][/ROW]
[ROW][C]0.19[/C][C]639.79340767983[/C][C]10.5813402711286[/C][/ROW]
[ROW][C]0.2[/C][C]642.841484581853[/C][C]11.5855844597153[/C][/ROW]
[ROW][C]0.21[/C][C]646.080298831483[/C][C]12.5563969209175[/C][/ROW]
[ROW][C]0.22[/C][C]649.493477832096[/C][C]13.3465929776539[/C][/ROW]
[ROW][C]0.23[/C][C]653.033235385115[/C][C]13.8648215738536[/C][/ROW]
[ROW][C]0.24[/C][C]656.637357388758[/C][C]14.0973202587534[/C][/ROW]
[ROW][C]0.25[/C][C]660.247574577019[/C][C]14.1090183840305[/C][/ROW]
[ROW][C]0.26[/C][C]663.82453360368[/C][C]14.020556028858[/C][/ROW]
[ROW][C]0.27[/C][C]667.355273818481[/C][C]13.966107223156[/C][/ROW]
[ROW][C]0.28[/C][C]670.851536777656[/C][C]14.045378505878[/C][/ROW]
[ROW][C]0.29[/C][C]674.340462471698[/C][C]14.2904479149397[/C][/ROW]
[ROW][C]0.3[/C][C]677.851774279244[/C][C]14.660580097539[/C][/ROW]
[ROW][C]0.31[/C][C]681.40629703038[/C][C]15.0717111144051[/C][/ROW]
[ROW][C]0.32[/C][C]685.009418285537[/C][C]15.4337485266415[/C][/ROW]
[ROW][C]0.33[/C][C]688.650659750467[/C][C]15.680343080378[/C][/ROW]
[ROW][C]0.34[/C][C]692.308079338854[/C][C]15.7860436922181[/C][/ROW]
[ROW][C]0.35[/C][C]695.954784789543[/C][C]15.7556685942139[/C][/ROW]
[ROW][C]0.36[/C][C]699.564792568094[/C][C]15.6165276145274[/C][/ROW]
[ROW][C]0.37[/C][C]703.116515038934[/C][C]15.3988381630383[/C][/ROW]
[ROW][C]0.38[/C][C]706.593597662246[/C][C]15.1210781534586[/C][/ROW]
[ROW][C]0.39[/C][C]709.983945966814[/C][C]14.7936457512921[/C][/ROW]
[ROW][C]0.4[/C][C]713.278189484215[/C][C]14.4170317402449[/C][/ROW]
[ROW][C]0.41[/C][C]716.468559301485[/C][C]13.9943633844586[/C][/ROW]
[ROW][C]0.42[/C][C]719.548540374478[/C][C]13.5304014337198[/C][/ROW]
[ROW][C]0.43[/C][C]722.513096863068[/C][C]13.0367214248702[/C][/ROW]
[ROW][C]0.44[/C][C]725.35901483567[/C][C]12.5273233345954[/C][/ROW]
[ROW][C]0.45[/C][C]728.084995134154[/C][C]12.0123179455696[/C][/ROW]
[ROW][C]0.46[/C][C]730.691419535213[/C][C]11.5005239366282[/C][/ROW]
[ROW][C]0.47[/C][C]733.180008133206[/C][C]10.9937621133575[/C][/ROW]
[ROW][C]0.48[/C][C]735.553735976704[/C][C]10.4968420596892[/C][/ROW]
[ROW][C]0.49[/C][C]737.817328531244[/C][C]10.0158030426436[/C][/ROW]
[ROW][C]0.5[/C][C]739.978439678261[/C][C]9.56595857235065[/C][/ROW]
[ROW][C]0.51[/C][C]742.049313103152[/C][C]9.1702056344596[/C][/ROW]
[ROW][C]0.52[/C][C]744.048436523389[/C][C]8.86322413720054[/C][/ROW]
[ROW][C]0.53[/C][C]746.001516785692[/C][C]8.68507281500733[/C][/ROW]
[ROW][C]0.54[/C][C]747.941115542254[/C][C]8.67374162171498[/C][/ROW]
[ROW][C]0.55[/C][C]749.904532693344[/C][C]8.85125998082118[/C][/ROW]
[ROW][C]0.56[/C][C]751.929979360051[/C][C]9.21393907413348[/C][/ROW]
[ROW][C]0.57[/C][C]754.051627759333[/C][C]9.72475639190932[/C][/ROW]
[ROW][C]0.58[/C][C]756.294580568305[/C][C]10.3232220002567[/C][/ROW]
[ROW][C]0.59[/C][C]758.670984832913[/C][C]10.9344380548241[/C][/ROW]
[ROW][C]0.6[/C][C]761.178324531134[/C][C]11.4818983751375[/C][/ROW]
[ROW][C]0.61[/C][C]763.800400194024[/C][C]11.9065796377632[/C][/ROW]
[ROW][C]0.62[/C][C]766.510817291783[/C][C]12.1743403114819[/C][/ROW]
[ROW][C]0.63[/C][C]769.278194757775[/C][C]12.2771266404959[/C][/ROW]
[ROW][C]0.64[/C][C]772.0719666141[/C][C]12.2369289600248[/C][/ROW]
[ROW][C]0.65[/C][C]774.867653775112[/C][C]12.0933941710491[/C][/ROW]
[ROW][C]0.66[/C][C]777.650760382598[/C][C]11.8999459930328[/C][/ROW]
[ROW][C]0.67[/C][C]780.418850144877[/C][C]11.7142723089714[/C][/ROW]
[ROW][C]0.68[/C][C]783.181749193401[/C][C]11.5890127111293[/C][/ROW]
[ROW][C]0.69[/C][C]785.960151028489[/C][C]11.5680869362479[/C][/ROW]
[ROW][C]0.7[/C][C]788.783186263965[/C][C]11.678488315048[/C][/ROW]
[ROW][C]0.71[/C][C]791.685775403465[/C][C]11.933678726329[/C][/ROW]
[ROW][C]0.72[/C][C]794.706718696809[/C][C]12.3340502585566[/C][/ROW]
[ROW][C]0.73[/C][C]797.888300557919[/C][C]12.8779137006458[/C][/ROW]
[ROW][C]0.74[/C][C]801.277525188348[/C][C]13.5757572972523[/C][/ROW]
[ROW][C]0.75[/C][C]804.928013847877[/C][C]14.4518169555406[/C][/ROW]
[ROW][C]0.76[/C][C]808.900523893199[/C][C]15.5361562231729[/C][/ROW]
[ROW][C]0.77[/C][C]813.259749205855[/C][C]16.8436694600897[/C][/ROW]
[ROW][C]0.78[/C][C]818.066245461848[/C][C]18.337276090603[/C][/ROW]
[ROW][C]0.79[/C][C]823.3651585862[/C][C]19.9211552980976[/C][/ROW]
[ROW][C]0.8[/C][C]829.17715969558[/C][C]21.4553556104017[/C][/ROW]
[ROW][C]0.81[/C][C]835.499947676001[/C][C]22.8107854657561[/C][/ROW]
[ROW][C]0.82[/C][C]842.32883670994[/C][C]23.9523955120317[/C][/ROW]
[ROW][C]0.83[/C][C]849.700673042012[/C][C]25.0270465554352[/C][/ROW]
[ROW][C]0.84[/C][C]857.756094419278[/C][C]26.4344965733602[/C][/ROW]
[ROW][C]0.85[/C][C]866.8019977062[/C][C]28.8022810892998[/C][/ROW]
[ROW][C]0.86[/C][C]877.342197059763[/C][C]32.8078050170631[/C][/ROW]
[ROW][C]0.87[/C][C]890.035972373472[/C][C]38.8206574736457[/C][/ROW]
[ROW][C]0.88[/C][C]905.551631549568[/C][C]46.5260430594024[/C][/ROW]
[ROW][C]0.89[/C][C]924.316480588609[/C][C]54.7336369394007[/C][/ROW]
[ROW][C]0.9[/C][C]946.228073151108[/C][C]61.4989929374718[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=124224&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=124224&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
0.1608.52924840848112.6372040055169
0.11613.21917505737612.3694430907682
0.12617.54955674375311.8896425744406
0.13621.5158802415411.1237920398337
0.14625.10428865415110.2268004126267
0.15628.3401087614569.46447391921151
0.16631.3039985530519.07540748563259
0.17634.1168326636439.17233183535774
0.18636.9094574348699.71889555769641
0.19639.7934076798310.5813402711286
0.2642.84148458185311.5855844597153
0.21646.08029883148312.5563969209175
0.22649.49347783209613.3465929776539
0.23653.03323538511513.8648215738536
0.24656.63735738875814.0973202587534
0.25660.24757457701914.1090183840305
0.26663.8245336036814.020556028858
0.27667.35527381848113.966107223156
0.28670.85153677765614.045378505878
0.29674.34046247169814.2904479149397
0.3677.85177427924414.660580097539
0.31681.4062970303815.0717111144051
0.32685.00941828553715.4337485266415
0.33688.65065975046715.680343080378
0.34692.30807933885415.7860436922181
0.35695.95478478954315.7556685942139
0.36699.56479256809415.6165276145274
0.37703.11651503893415.3988381630383
0.38706.59359766224615.1210781534586
0.39709.98394596681414.7936457512921
0.4713.27818948421514.4170317402449
0.41716.46855930148513.9943633844586
0.42719.54854037447813.5304014337198
0.43722.51309686306813.0367214248702
0.44725.3590148356712.5273233345954
0.45728.08499513415412.0123179455696
0.46730.69141953521311.5005239366282
0.47733.18000813320610.9937621133575
0.48735.55373597670410.4968420596892
0.49737.81732853124410.0158030426436
0.5739.9784396782619.56595857235065
0.51742.0493131031529.1702056344596
0.52744.0484365233898.86322413720054
0.53746.0015167856928.68507281500733
0.54747.9411155422548.67374162171498
0.55749.9045326933448.85125998082118
0.56751.9299793600519.21393907413348
0.57754.0516277593339.72475639190932
0.58756.29458056830510.3232220002567
0.59758.67098483291310.9344380548241
0.6761.17832453113411.4818983751375
0.61763.80040019402411.9065796377632
0.62766.51081729178312.1743403114819
0.63769.27819475777512.2771266404959
0.64772.071966614112.2369289600248
0.65774.86765377511212.0933941710491
0.66777.65076038259811.8999459930328
0.67780.41885014487711.7142723089714
0.68783.18174919340111.5890127111293
0.69785.96015102848911.5680869362479
0.7788.78318626396511.678488315048
0.71791.68577540346511.933678726329
0.72794.70671869680912.3340502585566
0.73797.88830055791912.8779137006458
0.74801.27752518834813.5757572972523
0.75804.92801384787714.4518169555406
0.76808.90052389319915.5361562231729
0.77813.25974920585516.8436694600897
0.78818.06624546184818.337276090603
0.79823.365158586219.9211552980976
0.8829.1771596955821.4553556104017
0.81835.49994767600122.8107854657561
0.82842.3288367099423.9523955120317
0.83849.70067304201225.0270465554352
0.84857.75609441927826.4344965733602
0.85866.801997706228.8022810892998
0.86877.34219705976332.8078050170631
0.87890.03597237347238.8206574736457
0.88905.55163154956846.5260430594024
0.89924.31648058860954.7336369394007
0.9946.22807315110861.4989929374718


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; 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')