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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 26 Oct 2008 07:37:07 -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/Oct/26/t1225028300uafpj6deiqdeiq4.htm/, Retrieved Sun, 19 May 2024 14:38:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18878, Retrieved Sun, 19 May 2024 14:38:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q5 Distributions] [2007-10-22 09:17:45] [b731da8b544846036771bbf9bf2f34ce]
F    D  [Harrell-Davis Quantiles] [herberekening vra...] [2008-10-24 16:35:13] [c45c87b96bbf32ffc2144fc37d767b2e]
F RMPD    [Central Tendency] [herberekening vra...] [2008-10-24 17:29:02] [c45c87b96bbf32ffc2144fc37d767b2e]
- RMPD        [Harrell-Davis Quantiles] [vraag 9] [2008-10-26 13:37:07] [3dc594a6c62226e1e98766c4d385bfaa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4348
3603
2700
2640
2916
3180
4151
4023
3431
3874
2617
3580
5267
3832
3441
3228
3397
3971
4625
4486
4131
4686
3174
4282
4209
4158
3936
3149
3623
4230
4443
4810
4853
5050
3553
4674
5412
5131
4856
3980
4431
4606
5352
4640
5170
4824
3280
4706
4909
5092
4911
3824
4214
4449
4486
4777
5132
4522
3295
4281
4590
4623
4075
3398
3029

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18878&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18878&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18878&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012631.6431966730644.2836077186332
0.022663.4753630470587.1644958967979
0.032712.17065000532133.067130221753
0.042773.88940480343167.193757640809
0.052842.67946272427183.180882083654
0.062912.30564112263182.245188043526
0.072977.82275338438169.795820119342
0.083036.33815699026152.094294889841
0.093086.95621386299134.295303337401
0.13130.24040950437119.769031819718
0.113167.55321710061110.071848854807
0.123200.50021845577105.218024381105
0.133230.56415248348104.210329125065
0.143258.92470299370105.703994730680
0.153286.41924242305108.563691769995
0.163313.58994921229112.069432402075
0.173340.76864472369115.927815453688
0.183368.16350540981120.130378721751
0.193395.92636526809124.835674075661
0.23424.19234892054130.198486050752
0.213453.09314728810136.273063631803
0.223482.75076236846142.979664477657
0.233513.2604753022150.104598429104
0.243544.67120152909157.298250815578
0.253576.96945936773164.153077777706
0.263610.07082498179170.242651616891
0.273643.82053806868175.164867126165
0.283678.00309244341178.604552638707
0.293712.35923608033180.347367601052
0.33746.60780584215180.335819025811
0.313780.46925163821178.646117274445
0.323813.68761441844175.484074169234
0.333846.04814495687171.164961034475
0.343877.38863831798166.032555537336
0.353907.60375452987160.440767577996
0.363936.64285248664154.701868049073
0.373964.50290919809149.058867281318
0.383991.21871095551143.674429973527
0.394016.85258230775138.646933122926
0.44041.485496915134.025784080552
0.414065.2106449543129.836504959997
0.424088.12963744165126.112421351850
0.434110.35073720914122.902346835934
0.444131.98799752255120.248926453657
0.454153.160054116118.233795140826
0.464173.98754925273116.884557888146
0.474194.58867719842116.217264733060
0.484215.07298337432116.173103134842
0.494235.53415939298116.644003167768
0.54256.04300519475117.447651708015
0.514276.64187660819118.37305240
0.524297.34176719898119.197628433337
0.534318.12272515637119.716797041882
0.544338.93768165791119.756221491640
0.554359.71911206928119.219763859337
0.564380.3874216227118.076008182630
0.574400.8596726533116.34757542217
0.584421.05732067559114.121266839498
0.594440.91198953638111.497297229465
0.64460.36889620692108.598936045038
0.614479.38817566384105.523407091597
0.624497.94487576021102.343375841192
0.634516.0286386373399.1246479162653
0.644533.6439798993895.919451345834
0.654550.811640946892.7968817393825
0.664567.5708456952489.8358667121245
0.674583.9816343181087.1657509380851
0.684600.1259886409784.9242739631126
0.694616.1063835921683.2522312138601
0.74632.0407847648882.2714104539232
0.714648.0539318994382.012936669513
0.724664.2658470785582.4275038923578
0.734680.7796308837583.3612699198055
0.744697.671453158284.5927552015932
0.754714.985907843685.8604688195882
0.764732.7393560692486.9303657488256
0.774750.9324354699787.6668954019892
0.784769.5706627258688.0677550925277
0.794788.6893249219488.3044677817197
0.84808.376211940588.695530143751
0.814828.7839764558989.6633257875919
0.824850.1239438511191.5883970965647
0.834872.6359000040194.66599750389
0.844896.5342499737998.7364624659047
0.854921.9396253911103.226094233572
0.864948.81487754221107.194305340729
0.874976.93220501538109.555458924163
0.885005.89940368197109.384347144185
0.895035.26321162901106.269271470100
0.95064.68378047226100.620657196484
0.915094.1387006465793.8154474706261
0.925124.0777866556188.0392956719231
0.935155.4297887602685.5329394905922
0.945189.3823159523287.1488484287526
0.955226.9271960307191.1304644843492
0.965268.25260942593.4756891355874
0.975312.0814108098189.9026436297193
0.985354.9755390840979.0475665038912
0.995390.8253983862765.9773450409422

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2631.64319667306 & 44.2836077186332 \tabularnewline
0.02 & 2663.47536304705 & 87.1644958967979 \tabularnewline
0.03 & 2712.17065000532 & 133.067130221753 \tabularnewline
0.04 & 2773.88940480343 & 167.193757640809 \tabularnewline
0.05 & 2842.67946272427 & 183.180882083654 \tabularnewline
0.06 & 2912.30564112263 & 182.245188043526 \tabularnewline
0.07 & 2977.82275338438 & 169.795820119342 \tabularnewline
0.08 & 3036.33815699026 & 152.094294889841 \tabularnewline
0.09 & 3086.95621386299 & 134.295303337401 \tabularnewline
0.1 & 3130.24040950437 & 119.769031819718 \tabularnewline
0.11 & 3167.55321710061 & 110.071848854807 \tabularnewline
0.12 & 3200.50021845577 & 105.218024381105 \tabularnewline
0.13 & 3230.56415248348 & 104.210329125065 \tabularnewline
0.14 & 3258.92470299370 & 105.703994730680 \tabularnewline
0.15 & 3286.41924242305 & 108.563691769995 \tabularnewline
0.16 & 3313.58994921229 & 112.069432402075 \tabularnewline
0.17 & 3340.76864472369 & 115.927815453688 \tabularnewline
0.18 & 3368.16350540981 & 120.130378721751 \tabularnewline
0.19 & 3395.92636526809 & 124.835674075661 \tabularnewline
0.2 & 3424.19234892054 & 130.198486050752 \tabularnewline
0.21 & 3453.09314728810 & 136.273063631803 \tabularnewline
0.22 & 3482.75076236846 & 142.979664477657 \tabularnewline
0.23 & 3513.2604753022 & 150.104598429104 \tabularnewline
0.24 & 3544.67120152909 & 157.298250815578 \tabularnewline
0.25 & 3576.96945936773 & 164.153077777706 \tabularnewline
0.26 & 3610.07082498179 & 170.242651616891 \tabularnewline
0.27 & 3643.82053806868 & 175.164867126165 \tabularnewline
0.28 & 3678.00309244341 & 178.604552638707 \tabularnewline
0.29 & 3712.35923608033 & 180.347367601052 \tabularnewline
0.3 & 3746.60780584215 & 180.335819025811 \tabularnewline
0.31 & 3780.46925163821 & 178.646117274445 \tabularnewline
0.32 & 3813.68761441844 & 175.484074169234 \tabularnewline
0.33 & 3846.04814495687 & 171.164961034475 \tabularnewline
0.34 & 3877.38863831798 & 166.032555537336 \tabularnewline
0.35 & 3907.60375452987 & 160.440767577996 \tabularnewline
0.36 & 3936.64285248664 & 154.701868049073 \tabularnewline
0.37 & 3964.50290919809 & 149.058867281318 \tabularnewline
0.38 & 3991.21871095551 & 143.674429973527 \tabularnewline
0.39 & 4016.85258230775 & 138.646933122926 \tabularnewline
0.4 & 4041.485496915 & 134.025784080552 \tabularnewline
0.41 & 4065.2106449543 & 129.836504959997 \tabularnewline
0.42 & 4088.12963744165 & 126.112421351850 \tabularnewline
0.43 & 4110.35073720914 & 122.902346835934 \tabularnewline
0.44 & 4131.98799752255 & 120.248926453657 \tabularnewline
0.45 & 4153.160054116 & 118.233795140826 \tabularnewline
0.46 & 4173.98754925273 & 116.884557888146 \tabularnewline
0.47 & 4194.58867719842 & 116.217264733060 \tabularnewline
0.48 & 4215.07298337432 & 116.173103134842 \tabularnewline
0.49 & 4235.53415939298 & 116.644003167768 \tabularnewline
0.5 & 4256.04300519475 & 117.447651708015 \tabularnewline
0.51 & 4276.64187660819 & 118.37305240 \tabularnewline
0.52 & 4297.34176719898 & 119.197628433337 \tabularnewline
0.53 & 4318.12272515637 & 119.716797041882 \tabularnewline
0.54 & 4338.93768165791 & 119.756221491640 \tabularnewline
0.55 & 4359.71911206928 & 119.219763859337 \tabularnewline
0.56 & 4380.3874216227 & 118.076008182630 \tabularnewline
0.57 & 4400.8596726533 & 116.34757542217 \tabularnewline
0.58 & 4421.05732067559 & 114.121266839498 \tabularnewline
0.59 & 4440.91198953638 & 111.497297229465 \tabularnewline
0.6 & 4460.36889620692 & 108.598936045038 \tabularnewline
0.61 & 4479.38817566384 & 105.523407091597 \tabularnewline
0.62 & 4497.94487576021 & 102.343375841192 \tabularnewline
0.63 & 4516.02863863733 & 99.1246479162653 \tabularnewline
0.64 & 4533.64397989938 & 95.919451345834 \tabularnewline
0.65 & 4550.8116409468 & 92.7968817393825 \tabularnewline
0.66 & 4567.57084569524 & 89.8358667121245 \tabularnewline
0.67 & 4583.98163431810 & 87.1657509380851 \tabularnewline
0.68 & 4600.12598864097 & 84.9242739631126 \tabularnewline
0.69 & 4616.10638359216 & 83.2522312138601 \tabularnewline
0.7 & 4632.04078476488 & 82.2714104539232 \tabularnewline
0.71 & 4648.05393189943 & 82.012936669513 \tabularnewline
0.72 & 4664.26584707855 & 82.4275038923578 \tabularnewline
0.73 & 4680.77963088375 & 83.3612699198055 \tabularnewline
0.74 & 4697.6714531582 & 84.5927552015932 \tabularnewline
0.75 & 4714.9859078436 & 85.8604688195882 \tabularnewline
0.76 & 4732.73935606924 & 86.9303657488256 \tabularnewline
0.77 & 4750.93243546997 & 87.6668954019892 \tabularnewline
0.78 & 4769.57066272586 & 88.0677550925277 \tabularnewline
0.79 & 4788.68932492194 & 88.3044677817197 \tabularnewline
0.8 & 4808.3762119405 & 88.695530143751 \tabularnewline
0.81 & 4828.78397645589 & 89.6633257875919 \tabularnewline
0.82 & 4850.12394385111 & 91.5883970965647 \tabularnewline
0.83 & 4872.63590000401 & 94.66599750389 \tabularnewline
0.84 & 4896.53424997379 & 98.7364624659047 \tabularnewline
0.85 & 4921.9396253911 & 103.226094233572 \tabularnewline
0.86 & 4948.81487754221 & 107.194305340729 \tabularnewline
0.87 & 4976.93220501538 & 109.555458924163 \tabularnewline
0.88 & 5005.89940368197 & 109.384347144185 \tabularnewline
0.89 & 5035.26321162901 & 106.269271470100 \tabularnewline
0.9 & 5064.68378047226 & 100.620657196484 \tabularnewline
0.91 & 5094.13870064657 & 93.8154474706261 \tabularnewline
0.92 & 5124.07778665561 & 88.0392956719231 \tabularnewline
0.93 & 5155.42978876026 & 85.5329394905922 \tabularnewline
0.94 & 5189.38231595232 & 87.1488484287526 \tabularnewline
0.95 & 5226.92719603071 & 91.1304644843492 \tabularnewline
0.96 & 5268.252609425 & 93.4756891355874 \tabularnewline
0.97 & 5312.08141080981 & 89.9026436297193 \tabularnewline
0.98 & 5354.97553908409 & 79.0475665038912 \tabularnewline
0.99 & 5390.82539838627 & 65.9773450409422 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18878&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]2631.64319667306[/C][C]44.2836077186332[/C][/ROW]
[ROW][C]0.02[/C][C]2663.47536304705[/C][C]87.1644958967979[/C][/ROW]
[ROW][C]0.03[/C][C]2712.17065000532[/C][C]133.067130221753[/C][/ROW]
[ROW][C]0.04[/C][C]2773.88940480343[/C][C]167.193757640809[/C][/ROW]
[ROW][C]0.05[/C][C]2842.67946272427[/C][C]183.180882083654[/C][/ROW]
[ROW][C]0.06[/C][C]2912.30564112263[/C][C]182.245188043526[/C][/ROW]
[ROW][C]0.07[/C][C]2977.82275338438[/C][C]169.795820119342[/C][/ROW]
[ROW][C]0.08[/C][C]3036.33815699026[/C][C]152.094294889841[/C][/ROW]
[ROW][C]0.09[/C][C]3086.95621386299[/C][C]134.295303337401[/C][/ROW]
[ROW][C]0.1[/C][C]3130.24040950437[/C][C]119.769031819718[/C][/ROW]
[ROW][C]0.11[/C][C]3167.55321710061[/C][C]110.071848854807[/C][/ROW]
[ROW][C]0.12[/C][C]3200.50021845577[/C][C]105.218024381105[/C][/ROW]
[ROW][C]0.13[/C][C]3230.56415248348[/C][C]104.210329125065[/C][/ROW]
[ROW][C]0.14[/C][C]3258.92470299370[/C][C]105.703994730680[/C][/ROW]
[ROW][C]0.15[/C][C]3286.41924242305[/C][C]108.563691769995[/C][/ROW]
[ROW][C]0.16[/C][C]3313.58994921229[/C][C]112.069432402075[/C][/ROW]
[ROW][C]0.17[/C][C]3340.76864472369[/C][C]115.927815453688[/C][/ROW]
[ROW][C]0.18[/C][C]3368.16350540981[/C][C]120.130378721751[/C][/ROW]
[ROW][C]0.19[/C][C]3395.92636526809[/C][C]124.835674075661[/C][/ROW]
[ROW][C]0.2[/C][C]3424.19234892054[/C][C]130.198486050752[/C][/ROW]
[ROW][C]0.21[/C][C]3453.09314728810[/C][C]136.273063631803[/C][/ROW]
[ROW][C]0.22[/C][C]3482.75076236846[/C][C]142.979664477657[/C][/ROW]
[ROW][C]0.23[/C][C]3513.2604753022[/C][C]150.104598429104[/C][/ROW]
[ROW][C]0.24[/C][C]3544.67120152909[/C][C]157.298250815578[/C][/ROW]
[ROW][C]0.25[/C][C]3576.96945936773[/C][C]164.153077777706[/C][/ROW]
[ROW][C]0.26[/C][C]3610.07082498179[/C][C]170.242651616891[/C][/ROW]
[ROW][C]0.27[/C][C]3643.82053806868[/C][C]175.164867126165[/C][/ROW]
[ROW][C]0.28[/C][C]3678.00309244341[/C][C]178.604552638707[/C][/ROW]
[ROW][C]0.29[/C][C]3712.35923608033[/C][C]180.347367601052[/C][/ROW]
[ROW][C]0.3[/C][C]3746.60780584215[/C][C]180.335819025811[/C][/ROW]
[ROW][C]0.31[/C][C]3780.46925163821[/C][C]178.646117274445[/C][/ROW]
[ROW][C]0.32[/C][C]3813.68761441844[/C][C]175.484074169234[/C][/ROW]
[ROW][C]0.33[/C][C]3846.04814495687[/C][C]171.164961034475[/C][/ROW]
[ROW][C]0.34[/C][C]3877.38863831798[/C][C]166.032555537336[/C][/ROW]
[ROW][C]0.35[/C][C]3907.60375452987[/C][C]160.440767577996[/C][/ROW]
[ROW][C]0.36[/C][C]3936.64285248664[/C][C]154.701868049073[/C][/ROW]
[ROW][C]0.37[/C][C]3964.50290919809[/C][C]149.058867281318[/C][/ROW]
[ROW][C]0.38[/C][C]3991.21871095551[/C][C]143.674429973527[/C][/ROW]
[ROW][C]0.39[/C][C]4016.85258230775[/C][C]138.646933122926[/C][/ROW]
[ROW][C]0.4[/C][C]4041.485496915[/C][C]134.025784080552[/C][/ROW]
[ROW][C]0.41[/C][C]4065.2106449543[/C][C]129.836504959997[/C][/ROW]
[ROW][C]0.42[/C][C]4088.12963744165[/C][C]126.112421351850[/C][/ROW]
[ROW][C]0.43[/C][C]4110.35073720914[/C][C]122.902346835934[/C][/ROW]
[ROW][C]0.44[/C][C]4131.98799752255[/C][C]120.248926453657[/C][/ROW]
[ROW][C]0.45[/C][C]4153.160054116[/C][C]118.233795140826[/C][/ROW]
[ROW][C]0.46[/C][C]4173.98754925273[/C][C]116.884557888146[/C][/ROW]
[ROW][C]0.47[/C][C]4194.58867719842[/C][C]116.217264733060[/C][/ROW]
[ROW][C]0.48[/C][C]4215.07298337432[/C][C]116.173103134842[/C][/ROW]
[ROW][C]0.49[/C][C]4235.53415939298[/C][C]116.644003167768[/C][/ROW]
[ROW][C]0.5[/C][C]4256.04300519475[/C][C]117.447651708015[/C][/ROW]
[ROW][C]0.51[/C][C]4276.64187660819[/C][C]118.37305240[/C][/ROW]
[ROW][C]0.52[/C][C]4297.34176719898[/C][C]119.197628433337[/C][/ROW]
[ROW][C]0.53[/C][C]4318.12272515637[/C][C]119.716797041882[/C][/ROW]
[ROW][C]0.54[/C][C]4338.93768165791[/C][C]119.756221491640[/C][/ROW]
[ROW][C]0.55[/C][C]4359.71911206928[/C][C]119.219763859337[/C][/ROW]
[ROW][C]0.56[/C][C]4380.3874216227[/C][C]118.076008182630[/C][/ROW]
[ROW][C]0.57[/C][C]4400.8596726533[/C][C]116.34757542217[/C][/ROW]
[ROW][C]0.58[/C][C]4421.05732067559[/C][C]114.121266839498[/C][/ROW]
[ROW][C]0.59[/C][C]4440.91198953638[/C][C]111.497297229465[/C][/ROW]
[ROW][C]0.6[/C][C]4460.36889620692[/C][C]108.598936045038[/C][/ROW]
[ROW][C]0.61[/C][C]4479.38817566384[/C][C]105.523407091597[/C][/ROW]
[ROW][C]0.62[/C][C]4497.94487576021[/C][C]102.343375841192[/C][/ROW]
[ROW][C]0.63[/C][C]4516.02863863733[/C][C]99.1246479162653[/C][/ROW]
[ROW][C]0.64[/C][C]4533.64397989938[/C][C]95.919451345834[/C][/ROW]
[ROW][C]0.65[/C][C]4550.8116409468[/C][C]92.7968817393825[/C][/ROW]
[ROW][C]0.66[/C][C]4567.57084569524[/C][C]89.8358667121245[/C][/ROW]
[ROW][C]0.67[/C][C]4583.98163431810[/C][C]87.1657509380851[/C][/ROW]
[ROW][C]0.68[/C][C]4600.12598864097[/C][C]84.9242739631126[/C][/ROW]
[ROW][C]0.69[/C][C]4616.10638359216[/C][C]83.2522312138601[/C][/ROW]
[ROW][C]0.7[/C][C]4632.04078476488[/C][C]82.2714104539232[/C][/ROW]
[ROW][C]0.71[/C][C]4648.05393189943[/C][C]82.012936669513[/C][/ROW]
[ROW][C]0.72[/C][C]4664.26584707855[/C][C]82.4275038923578[/C][/ROW]
[ROW][C]0.73[/C][C]4680.77963088375[/C][C]83.3612699198055[/C][/ROW]
[ROW][C]0.74[/C][C]4697.6714531582[/C][C]84.5927552015932[/C][/ROW]
[ROW][C]0.75[/C][C]4714.9859078436[/C][C]85.8604688195882[/C][/ROW]
[ROW][C]0.76[/C][C]4732.73935606924[/C][C]86.9303657488256[/C][/ROW]
[ROW][C]0.77[/C][C]4750.93243546997[/C][C]87.6668954019892[/C][/ROW]
[ROW][C]0.78[/C][C]4769.57066272586[/C][C]88.0677550925277[/C][/ROW]
[ROW][C]0.79[/C][C]4788.68932492194[/C][C]88.3044677817197[/C][/ROW]
[ROW][C]0.8[/C][C]4808.3762119405[/C][C]88.695530143751[/C][/ROW]
[ROW][C]0.81[/C][C]4828.78397645589[/C][C]89.6633257875919[/C][/ROW]
[ROW][C]0.82[/C][C]4850.12394385111[/C][C]91.5883970965647[/C][/ROW]
[ROW][C]0.83[/C][C]4872.63590000401[/C][C]94.66599750389[/C][/ROW]
[ROW][C]0.84[/C][C]4896.53424997379[/C][C]98.7364624659047[/C][/ROW]
[ROW][C]0.85[/C][C]4921.9396253911[/C][C]103.226094233572[/C][/ROW]
[ROW][C]0.86[/C][C]4948.81487754221[/C][C]107.194305340729[/C][/ROW]
[ROW][C]0.87[/C][C]4976.93220501538[/C][C]109.555458924163[/C][/ROW]
[ROW][C]0.88[/C][C]5005.89940368197[/C][C]109.384347144185[/C][/ROW]
[ROW][C]0.89[/C][C]5035.26321162901[/C][C]106.269271470100[/C][/ROW]
[ROW][C]0.9[/C][C]5064.68378047226[/C][C]100.620657196484[/C][/ROW]
[ROW][C]0.91[/C][C]5094.13870064657[/C][C]93.8154474706261[/C][/ROW]
[ROW][C]0.92[/C][C]5124.07778665561[/C][C]88.0392956719231[/C][/ROW]
[ROW][C]0.93[/C][C]5155.42978876026[/C][C]85.5329394905922[/C][/ROW]
[ROW][C]0.94[/C][C]5189.38231595232[/C][C]87.1488484287526[/C][/ROW]
[ROW][C]0.95[/C][C]5226.92719603071[/C][C]91.1304644843492[/C][/ROW]
[ROW][C]0.96[/C][C]5268.252609425[/C][C]93.4756891355874[/C][/ROW]
[ROW][C]0.97[/C][C]5312.08141080981[/C][C]89.9026436297193[/C][/ROW]
[ROW][C]0.98[/C][C]5354.97553908409[/C][C]79.0475665038912[/C][/ROW]
[ROW][C]0.99[/C][C]5390.82539838627[/C][C]65.9773450409422[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18878&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18878&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
0.012631.6431966730644.2836077186332
0.022663.4753630470587.1644958967979
0.032712.17065000532133.067130221753
0.042773.88940480343167.193757640809
0.052842.67946272427183.180882083654
0.062912.30564112263182.245188043526
0.072977.82275338438169.795820119342
0.083036.33815699026152.094294889841
0.093086.95621386299134.295303337401
0.13130.24040950437119.769031819718
0.113167.55321710061110.071848854807
0.123200.50021845577105.218024381105
0.133230.56415248348104.210329125065
0.143258.92470299370105.703994730680
0.153286.41924242305108.563691769995
0.163313.58994921229112.069432402075
0.173340.76864472369115.927815453688
0.183368.16350540981120.130378721751
0.193395.92636526809124.835674075661
0.23424.19234892054130.198486050752
0.213453.09314728810136.273063631803
0.223482.75076236846142.979664477657
0.233513.2604753022150.104598429104
0.243544.67120152909157.298250815578
0.253576.96945936773164.153077777706
0.263610.07082498179170.242651616891
0.273643.82053806868175.164867126165
0.283678.00309244341178.604552638707
0.293712.35923608033180.347367601052
0.33746.60780584215180.335819025811
0.313780.46925163821178.646117274445
0.323813.68761441844175.484074169234
0.333846.04814495687171.164961034475
0.343877.38863831798166.032555537336
0.353907.60375452987160.440767577996
0.363936.64285248664154.701868049073
0.373964.50290919809149.058867281318
0.383991.21871095551143.674429973527
0.394016.85258230775138.646933122926
0.44041.485496915134.025784080552
0.414065.2106449543129.836504959997
0.424088.12963744165126.112421351850
0.434110.35073720914122.902346835934
0.444131.98799752255120.248926453657
0.454153.160054116118.233795140826
0.464173.98754925273116.884557888146
0.474194.58867719842116.217264733060
0.484215.07298337432116.173103134842
0.494235.53415939298116.644003167768
0.54256.04300519475117.447651708015
0.514276.64187660819118.37305240
0.524297.34176719898119.197628433337
0.534318.12272515637119.716797041882
0.544338.93768165791119.756221491640
0.554359.71911206928119.219763859337
0.564380.3874216227118.076008182630
0.574400.8596726533116.34757542217
0.584421.05732067559114.121266839498
0.594440.91198953638111.497297229465
0.64460.36889620692108.598936045038
0.614479.38817566384105.523407091597
0.624497.94487576021102.343375841192
0.634516.0286386373399.1246479162653
0.644533.6439798993895.919451345834
0.654550.811640946892.7968817393825
0.664567.5708456952489.8358667121245
0.674583.9816343181087.1657509380851
0.684600.1259886409784.9242739631126
0.694616.1063835921683.2522312138601
0.74632.0407847648882.2714104539232
0.714648.0539318994382.012936669513
0.724664.2658470785582.4275038923578
0.734680.7796308837583.3612699198055
0.744697.671453158284.5927552015932
0.754714.985907843685.8604688195882
0.764732.7393560692486.9303657488256
0.774750.9324354699787.6668954019892
0.784769.5706627258688.0677550925277
0.794788.6893249219488.3044677817197
0.84808.376211940588.695530143751
0.814828.7839764558989.6633257875919
0.824850.1239438511191.5883970965647
0.834872.6359000040194.66599750389
0.844896.5342499737998.7364624659047
0.854921.9396253911103.226094233572
0.864948.81487754221107.194305340729
0.874976.93220501538109.555458924163
0.885005.89940368197109.384347144185
0.895035.26321162901106.269271470100
0.95064.68378047226100.620657196484
0.915094.1387006465793.8154474706261
0.925124.0777866556188.0392956719231
0.935155.4297887602685.5329394905922
0.945189.3823159523287.1488484287526
0.955226.9271960307191.1304644843492
0.965268.25260942593.4756891355874
0.975312.0814108098189.9026436297193
0.985354.9755390840979.0475665038912
0.995390.8253983862765.9773450409422


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')