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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 computationSat, 04 Oct 2014 17:20:58 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/04/t1412439686pavstjifx1lj97s.htm/, Retrieved Fri, 01 Nov 2024 00:05:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238611, Retrieved Fri, 01 Nov 2024 00:05:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

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] [] [2014-10-04 16:20:58] [5d8373a1f2ebce02db7a575ae6fdba0f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3167956
3001753
3571343
3990145
4472259
4487988
5021544
4877589
4563348
4452338
3535989
3454304
3331523
3213977
3896807
4121803
4566599
4529566
5172312
5121598
4713449
4656638
3647578
3545823
3388686
3348700
3973721
4156519
4713826
4704148
5175950
5025767
4600637
4560314
3443549
3333873
3072606
2891262
3390581
3888685
4173577
4130139
4851476
4811406
4322719
4274814
3355439
3293039
3114971
3049444
3697355
3213665
4447089
4442139
5119203
5058056
4623783
4666071
3719403
3440349
3466587
3251624
3921482
4466794
4916693
4939490
5627276
5540569
5128892
5024163
3807138
3777434
3675761
3552136
4177498
4568847
5027940
5078079
5759003
5671424
5239374
5100023
3944666
3858569
3670053
3563751
4341934
4779391
5440427
5404974
5934128
5942981
5477811
5288928
4099344
4103791

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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238611&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238611&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238611&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012938361.6741234286605.5439215637
0.022999247.2429205766638.6776766102
0.033050177.0273767862499.0908524905
0.043091723.7131247166899.9979241569
0.053128884.9758246871453.6462162613
0.063163731.9778333573185.0096490512
0.073196402.4886025172655.4532694266
0.083226684.2347799271108.4725234067
0.093254553.7616961269093.8570062554
0.13280155.0266336466683.9107198332
0.113303713.2137649764153.7611872525
0.123325528.226896962123.5246763543
0.133345992.8332048761257.0190691409
0.143365569.168441661840.3489023631
0.153384720.9312122363750.1456971204
0.163403840.5328364966583.1083377619
0.173423206.9489271769917.8844781976
0.183442984.0899836773440.6232096998
0.193463248.0955416276972.0017984677
0.23484025.251122480470.9879887386
0.213505326.2543107883979.343756147
0.223527169.6042070987604.3856516698
0.233549592.3087999491461.0745140806
0.243572649.1387661395624.4945342978
0.253596403.26010921100098.803247955
0.263620912.00460054104808.032373254
0.273646211.87220412109616.080901141
0.283672306.47333723114331.739735719
0.293699160.0896392118754.909130079
0.33726698.14969732122714.058403133
0.313754814.4633621126065.872818131
0.323783383.70874316128749.33481014
0.333812276.58308288130782.729137308
0.343841374.47719494132263.503082054
0.353870580.80711029133342.941182271
0.363899827.31343544134162.583622953
0.373929075.36990514134862.915779854
0.383958313.89900567135551.235817102
0.393987556.10536315136295.160868771
0.44016836.54524265137171.663182514
0.414046208.37249719138273.374779117
0.424075738.84697253139674.15770292
0.434105500.42550568141430.024245086
0.444135555.64226602143493.91991789
0.454165936.40247365145678.116071317
0.464196621.34517516147644.92085913
0.474227517.24699264148943.011165031
0.484258450.88856632149118.044478903
0.494289175.9430468147790.702657937
0.54319395.75151577144745.468155026
0.514348798.5491416139982.671132385
0.524377098.27506888133764.487028405
0.534404072.68033878126522.020380792
0.544429591.42177804118794.552506209
0.554453629.71794134111177.969460978
0.564476266.86185247104192.699788608
0.574497672.2110711798242.5138464676
0.584518083.3107329893616.1654182734
0.594537781.244945690438.3600385133
0.64557067.4284510688746.0160038797
0.614576244.4481987288456.6303410176
0.624595601.8620953889463.1154932627
0.634615406.4667817391591.6824001259
0.644635895.606918594676.7003657836
0.654657271.6110964298525.5318745325
0.664679695.39191331102923.292075552
0.674703277.68998599107646.269473085
0.684728067.43618868112373.338130874
0.694754038.20334395116752.42639597
0.74781075.45025571120378.910357876
0.714808968.73423773122820.381160091
0.724837413.67456918123666.481100904
0.734866027.66112012122633.665960898
0.744894380.90795421119576.17601298
0.754922040.77409199114595.351887012
0.764948623.28901626108000.290667015
0.774973843.03721811100311.597643873
0.784997552.5222559892213.0383925979
0.795019765.6026367284404.8039168133
0.85040665.6992336877572.4874699979
0.815060605.4679491772301.1722658213
0.825080106.7097276269111.7052847342
0.835099864.4803762368511.6397932485
0.845120747.7621568171006.2023172935
0.855143775.3438366876958.2653233521
0.865170038.7334981986312.8731801769
0.875200554.4711594398318.6928740259
0.885236061.82707415111446.640324784
0.895276830.59739546123554.636264473
0.95322579.92234576132533.712256008
0.915372595.16809021137044.065844331
0.925426053.72281488137183.213537691
0.935482484.77302158134410.486321637
0.945542274.87994682130881.5047203
0.955607106.70168055129047.311856076
0.965679738.06001692131502.360144851
0.975761385.78874642136214.588594961
0.985845375.62765497125046.496124918
0.995912543.3504298472717.4638772917

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2938361.67412342 & 86605.5439215637 \tabularnewline
0.02 & 2999247.24292057 & 66638.6776766102 \tabularnewline
0.03 & 3050177.02737678 & 62499.0908524905 \tabularnewline
0.04 & 3091723.71312471 & 66899.9979241569 \tabularnewline
0.05 & 3128884.97582468 & 71453.6462162613 \tabularnewline
0.06 & 3163731.97783335 & 73185.0096490512 \tabularnewline
0.07 & 3196402.48860251 & 72655.4532694266 \tabularnewline
0.08 & 3226684.23477992 & 71108.4725234067 \tabularnewline
0.09 & 3254553.76169612 & 69093.8570062554 \tabularnewline
0.1 & 3280155.02663364 & 66683.9107198332 \tabularnewline
0.11 & 3303713.21376497 & 64153.7611872525 \tabularnewline
0.12 & 3325528.2268969 & 62123.5246763543 \tabularnewline
0.13 & 3345992.83320487 & 61257.0190691409 \tabularnewline
0.14 & 3365569.1684416 & 61840.3489023631 \tabularnewline
0.15 & 3384720.93121223 & 63750.1456971204 \tabularnewline
0.16 & 3403840.53283649 & 66583.1083377619 \tabularnewline
0.17 & 3423206.94892717 & 69917.8844781976 \tabularnewline
0.18 & 3442984.08998367 & 73440.6232096998 \tabularnewline
0.19 & 3463248.09554162 & 76972.0017984677 \tabularnewline
0.2 & 3484025.2511224 & 80470.9879887386 \tabularnewline
0.21 & 3505326.25431078 & 83979.343756147 \tabularnewline
0.22 & 3527169.60420709 & 87604.3856516698 \tabularnewline
0.23 & 3549592.30879994 & 91461.0745140806 \tabularnewline
0.24 & 3572649.13876613 & 95624.4945342978 \tabularnewline
0.25 & 3596403.26010921 & 100098.803247955 \tabularnewline
0.26 & 3620912.00460054 & 104808.032373254 \tabularnewline
0.27 & 3646211.87220412 & 109616.080901141 \tabularnewline
0.28 & 3672306.47333723 & 114331.739735719 \tabularnewline
0.29 & 3699160.0896392 & 118754.909130079 \tabularnewline
0.3 & 3726698.14969732 & 122714.058403133 \tabularnewline
0.31 & 3754814.4633621 & 126065.872818131 \tabularnewline
0.32 & 3783383.70874316 & 128749.33481014 \tabularnewline
0.33 & 3812276.58308288 & 130782.729137308 \tabularnewline
0.34 & 3841374.47719494 & 132263.503082054 \tabularnewline
0.35 & 3870580.80711029 & 133342.941182271 \tabularnewline
0.36 & 3899827.31343544 & 134162.583622953 \tabularnewline
0.37 & 3929075.36990514 & 134862.915779854 \tabularnewline
0.38 & 3958313.89900567 & 135551.235817102 \tabularnewline
0.39 & 3987556.10536315 & 136295.160868771 \tabularnewline
0.4 & 4016836.54524265 & 137171.663182514 \tabularnewline
0.41 & 4046208.37249719 & 138273.374779117 \tabularnewline
0.42 & 4075738.84697253 & 139674.15770292 \tabularnewline
0.43 & 4105500.42550568 & 141430.024245086 \tabularnewline
0.44 & 4135555.64226602 & 143493.91991789 \tabularnewline
0.45 & 4165936.40247365 & 145678.116071317 \tabularnewline
0.46 & 4196621.34517516 & 147644.92085913 \tabularnewline
0.47 & 4227517.24699264 & 148943.011165031 \tabularnewline
0.48 & 4258450.88856632 & 149118.044478903 \tabularnewline
0.49 & 4289175.9430468 & 147790.702657937 \tabularnewline
0.5 & 4319395.75151577 & 144745.468155026 \tabularnewline
0.51 & 4348798.5491416 & 139982.671132385 \tabularnewline
0.52 & 4377098.27506888 & 133764.487028405 \tabularnewline
0.53 & 4404072.68033878 & 126522.020380792 \tabularnewline
0.54 & 4429591.42177804 & 118794.552506209 \tabularnewline
0.55 & 4453629.71794134 & 111177.969460978 \tabularnewline
0.56 & 4476266.86185247 & 104192.699788608 \tabularnewline
0.57 & 4497672.21107117 & 98242.5138464676 \tabularnewline
0.58 & 4518083.31073298 & 93616.1654182734 \tabularnewline
0.59 & 4537781.2449456 & 90438.3600385133 \tabularnewline
0.6 & 4557067.42845106 & 88746.0160038797 \tabularnewline
0.61 & 4576244.44819872 & 88456.6303410176 \tabularnewline
0.62 & 4595601.86209538 & 89463.1154932627 \tabularnewline
0.63 & 4615406.46678173 & 91591.6824001259 \tabularnewline
0.64 & 4635895.6069185 & 94676.7003657836 \tabularnewline
0.65 & 4657271.61109642 & 98525.5318745325 \tabularnewline
0.66 & 4679695.39191331 & 102923.292075552 \tabularnewline
0.67 & 4703277.68998599 & 107646.269473085 \tabularnewline
0.68 & 4728067.43618868 & 112373.338130874 \tabularnewline
0.69 & 4754038.20334395 & 116752.42639597 \tabularnewline
0.7 & 4781075.45025571 & 120378.910357876 \tabularnewline
0.71 & 4808968.73423773 & 122820.381160091 \tabularnewline
0.72 & 4837413.67456918 & 123666.481100904 \tabularnewline
0.73 & 4866027.66112012 & 122633.665960898 \tabularnewline
0.74 & 4894380.90795421 & 119576.17601298 \tabularnewline
0.75 & 4922040.77409199 & 114595.351887012 \tabularnewline
0.76 & 4948623.28901626 & 108000.290667015 \tabularnewline
0.77 & 4973843.03721811 & 100311.597643873 \tabularnewline
0.78 & 4997552.52225598 & 92213.0383925979 \tabularnewline
0.79 & 5019765.60263672 & 84404.8039168133 \tabularnewline
0.8 & 5040665.69923368 & 77572.4874699979 \tabularnewline
0.81 & 5060605.46794917 & 72301.1722658213 \tabularnewline
0.82 & 5080106.70972762 & 69111.7052847342 \tabularnewline
0.83 & 5099864.48037623 & 68511.6397932485 \tabularnewline
0.84 & 5120747.76215681 & 71006.2023172935 \tabularnewline
0.85 & 5143775.34383668 & 76958.2653233521 \tabularnewline
0.86 & 5170038.73349819 & 86312.8731801769 \tabularnewline
0.87 & 5200554.47115943 & 98318.6928740259 \tabularnewline
0.88 & 5236061.82707415 & 111446.640324784 \tabularnewline
0.89 & 5276830.59739546 & 123554.636264473 \tabularnewline
0.9 & 5322579.92234576 & 132533.712256008 \tabularnewline
0.91 & 5372595.16809021 & 137044.065844331 \tabularnewline
0.92 & 5426053.72281488 & 137183.213537691 \tabularnewline
0.93 & 5482484.77302158 & 134410.486321637 \tabularnewline
0.94 & 5542274.87994682 & 130881.5047203 \tabularnewline
0.95 & 5607106.70168055 & 129047.311856076 \tabularnewline
0.96 & 5679738.06001692 & 131502.360144851 \tabularnewline
0.97 & 5761385.78874642 & 136214.588594961 \tabularnewline
0.98 & 5845375.62765497 & 125046.496124918 \tabularnewline
0.99 & 5912543.35042984 & 72717.4638772917 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238611&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]2938361.67412342[/C][C]86605.5439215637[/C][/ROW]
[ROW][C]0.02[/C][C]2999247.24292057[/C][C]66638.6776766102[/C][/ROW]
[ROW][C]0.03[/C][C]3050177.02737678[/C][C]62499.0908524905[/C][/ROW]
[ROW][C]0.04[/C][C]3091723.71312471[/C][C]66899.9979241569[/C][/ROW]
[ROW][C]0.05[/C][C]3128884.97582468[/C][C]71453.6462162613[/C][/ROW]
[ROW][C]0.06[/C][C]3163731.97783335[/C][C]73185.0096490512[/C][/ROW]
[ROW][C]0.07[/C][C]3196402.48860251[/C][C]72655.4532694266[/C][/ROW]
[ROW][C]0.08[/C][C]3226684.23477992[/C][C]71108.4725234067[/C][/ROW]
[ROW][C]0.09[/C][C]3254553.76169612[/C][C]69093.8570062554[/C][/ROW]
[ROW][C]0.1[/C][C]3280155.02663364[/C][C]66683.9107198332[/C][/ROW]
[ROW][C]0.11[/C][C]3303713.21376497[/C][C]64153.7611872525[/C][/ROW]
[ROW][C]0.12[/C][C]3325528.2268969[/C][C]62123.5246763543[/C][/ROW]
[ROW][C]0.13[/C][C]3345992.83320487[/C][C]61257.0190691409[/C][/ROW]
[ROW][C]0.14[/C][C]3365569.1684416[/C][C]61840.3489023631[/C][/ROW]
[ROW][C]0.15[/C][C]3384720.93121223[/C][C]63750.1456971204[/C][/ROW]
[ROW][C]0.16[/C][C]3403840.53283649[/C][C]66583.1083377619[/C][/ROW]
[ROW][C]0.17[/C][C]3423206.94892717[/C][C]69917.8844781976[/C][/ROW]
[ROW][C]0.18[/C][C]3442984.08998367[/C][C]73440.6232096998[/C][/ROW]
[ROW][C]0.19[/C][C]3463248.09554162[/C][C]76972.0017984677[/C][/ROW]
[ROW][C]0.2[/C][C]3484025.2511224[/C][C]80470.9879887386[/C][/ROW]
[ROW][C]0.21[/C][C]3505326.25431078[/C][C]83979.343756147[/C][/ROW]
[ROW][C]0.22[/C][C]3527169.60420709[/C][C]87604.3856516698[/C][/ROW]
[ROW][C]0.23[/C][C]3549592.30879994[/C][C]91461.0745140806[/C][/ROW]
[ROW][C]0.24[/C][C]3572649.13876613[/C][C]95624.4945342978[/C][/ROW]
[ROW][C]0.25[/C][C]3596403.26010921[/C][C]100098.803247955[/C][/ROW]
[ROW][C]0.26[/C][C]3620912.00460054[/C][C]104808.032373254[/C][/ROW]
[ROW][C]0.27[/C][C]3646211.87220412[/C][C]109616.080901141[/C][/ROW]
[ROW][C]0.28[/C][C]3672306.47333723[/C][C]114331.739735719[/C][/ROW]
[ROW][C]0.29[/C][C]3699160.0896392[/C][C]118754.909130079[/C][/ROW]
[ROW][C]0.3[/C][C]3726698.14969732[/C][C]122714.058403133[/C][/ROW]
[ROW][C]0.31[/C][C]3754814.4633621[/C][C]126065.872818131[/C][/ROW]
[ROW][C]0.32[/C][C]3783383.70874316[/C][C]128749.33481014[/C][/ROW]
[ROW][C]0.33[/C][C]3812276.58308288[/C][C]130782.729137308[/C][/ROW]
[ROW][C]0.34[/C][C]3841374.47719494[/C][C]132263.503082054[/C][/ROW]
[ROW][C]0.35[/C][C]3870580.80711029[/C][C]133342.941182271[/C][/ROW]
[ROW][C]0.36[/C][C]3899827.31343544[/C][C]134162.583622953[/C][/ROW]
[ROW][C]0.37[/C][C]3929075.36990514[/C][C]134862.915779854[/C][/ROW]
[ROW][C]0.38[/C][C]3958313.89900567[/C][C]135551.235817102[/C][/ROW]
[ROW][C]0.39[/C][C]3987556.10536315[/C][C]136295.160868771[/C][/ROW]
[ROW][C]0.4[/C][C]4016836.54524265[/C][C]137171.663182514[/C][/ROW]
[ROW][C]0.41[/C][C]4046208.37249719[/C][C]138273.374779117[/C][/ROW]
[ROW][C]0.42[/C][C]4075738.84697253[/C][C]139674.15770292[/C][/ROW]
[ROW][C]0.43[/C][C]4105500.42550568[/C][C]141430.024245086[/C][/ROW]
[ROW][C]0.44[/C][C]4135555.64226602[/C][C]143493.91991789[/C][/ROW]
[ROW][C]0.45[/C][C]4165936.40247365[/C][C]145678.116071317[/C][/ROW]
[ROW][C]0.46[/C][C]4196621.34517516[/C][C]147644.92085913[/C][/ROW]
[ROW][C]0.47[/C][C]4227517.24699264[/C][C]148943.011165031[/C][/ROW]
[ROW][C]0.48[/C][C]4258450.88856632[/C][C]149118.044478903[/C][/ROW]
[ROW][C]0.49[/C][C]4289175.9430468[/C][C]147790.702657937[/C][/ROW]
[ROW][C]0.5[/C][C]4319395.75151577[/C][C]144745.468155026[/C][/ROW]
[ROW][C]0.51[/C][C]4348798.5491416[/C][C]139982.671132385[/C][/ROW]
[ROW][C]0.52[/C][C]4377098.27506888[/C][C]133764.487028405[/C][/ROW]
[ROW][C]0.53[/C][C]4404072.68033878[/C][C]126522.020380792[/C][/ROW]
[ROW][C]0.54[/C][C]4429591.42177804[/C][C]118794.552506209[/C][/ROW]
[ROW][C]0.55[/C][C]4453629.71794134[/C][C]111177.969460978[/C][/ROW]
[ROW][C]0.56[/C][C]4476266.86185247[/C][C]104192.699788608[/C][/ROW]
[ROW][C]0.57[/C][C]4497672.21107117[/C][C]98242.5138464676[/C][/ROW]
[ROW][C]0.58[/C][C]4518083.31073298[/C][C]93616.1654182734[/C][/ROW]
[ROW][C]0.59[/C][C]4537781.2449456[/C][C]90438.3600385133[/C][/ROW]
[ROW][C]0.6[/C][C]4557067.42845106[/C][C]88746.0160038797[/C][/ROW]
[ROW][C]0.61[/C][C]4576244.44819872[/C][C]88456.6303410176[/C][/ROW]
[ROW][C]0.62[/C][C]4595601.86209538[/C][C]89463.1154932627[/C][/ROW]
[ROW][C]0.63[/C][C]4615406.46678173[/C][C]91591.6824001259[/C][/ROW]
[ROW][C]0.64[/C][C]4635895.6069185[/C][C]94676.7003657836[/C][/ROW]
[ROW][C]0.65[/C][C]4657271.61109642[/C][C]98525.5318745325[/C][/ROW]
[ROW][C]0.66[/C][C]4679695.39191331[/C][C]102923.292075552[/C][/ROW]
[ROW][C]0.67[/C][C]4703277.68998599[/C][C]107646.269473085[/C][/ROW]
[ROW][C]0.68[/C][C]4728067.43618868[/C][C]112373.338130874[/C][/ROW]
[ROW][C]0.69[/C][C]4754038.20334395[/C][C]116752.42639597[/C][/ROW]
[ROW][C]0.7[/C][C]4781075.45025571[/C][C]120378.910357876[/C][/ROW]
[ROW][C]0.71[/C][C]4808968.73423773[/C][C]122820.381160091[/C][/ROW]
[ROW][C]0.72[/C][C]4837413.67456918[/C][C]123666.481100904[/C][/ROW]
[ROW][C]0.73[/C][C]4866027.66112012[/C][C]122633.665960898[/C][/ROW]
[ROW][C]0.74[/C][C]4894380.90795421[/C][C]119576.17601298[/C][/ROW]
[ROW][C]0.75[/C][C]4922040.77409199[/C][C]114595.351887012[/C][/ROW]
[ROW][C]0.76[/C][C]4948623.28901626[/C][C]108000.290667015[/C][/ROW]
[ROW][C]0.77[/C][C]4973843.03721811[/C][C]100311.597643873[/C][/ROW]
[ROW][C]0.78[/C][C]4997552.52225598[/C][C]92213.0383925979[/C][/ROW]
[ROW][C]0.79[/C][C]5019765.60263672[/C][C]84404.8039168133[/C][/ROW]
[ROW][C]0.8[/C][C]5040665.69923368[/C][C]77572.4874699979[/C][/ROW]
[ROW][C]0.81[/C][C]5060605.46794917[/C][C]72301.1722658213[/C][/ROW]
[ROW][C]0.82[/C][C]5080106.70972762[/C][C]69111.7052847342[/C][/ROW]
[ROW][C]0.83[/C][C]5099864.48037623[/C][C]68511.6397932485[/C][/ROW]
[ROW][C]0.84[/C][C]5120747.76215681[/C][C]71006.2023172935[/C][/ROW]
[ROW][C]0.85[/C][C]5143775.34383668[/C][C]76958.2653233521[/C][/ROW]
[ROW][C]0.86[/C][C]5170038.73349819[/C][C]86312.8731801769[/C][/ROW]
[ROW][C]0.87[/C][C]5200554.47115943[/C][C]98318.6928740259[/C][/ROW]
[ROW][C]0.88[/C][C]5236061.82707415[/C][C]111446.640324784[/C][/ROW]
[ROW][C]0.89[/C][C]5276830.59739546[/C][C]123554.636264473[/C][/ROW]
[ROW][C]0.9[/C][C]5322579.92234576[/C][C]132533.712256008[/C][/ROW]
[ROW][C]0.91[/C][C]5372595.16809021[/C][C]137044.065844331[/C][/ROW]
[ROW][C]0.92[/C][C]5426053.72281488[/C][C]137183.213537691[/C][/ROW]
[ROW][C]0.93[/C][C]5482484.77302158[/C][C]134410.486321637[/C][/ROW]
[ROW][C]0.94[/C][C]5542274.87994682[/C][C]130881.5047203[/C][/ROW]
[ROW][C]0.95[/C][C]5607106.70168055[/C][C]129047.311856076[/C][/ROW]
[ROW][C]0.96[/C][C]5679738.06001692[/C][C]131502.360144851[/C][/ROW]
[ROW][C]0.97[/C][C]5761385.78874642[/C][C]136214.588594961[/C][/ROW]
[ROW][C]0.98[/C][C]5845375.62765497[/C][C]125046.496124918[/C][/ROW]
[ROW][C]0.99[/C][C]5912543.35042984[/C][C]72717.4638772917[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238611&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238611&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
0.012938361.6741234286605.5439215637
0.022999247.2429205766638.6776766102
0.033050177.0273767862499.0908524905
0.043091723.7131247166899.9979241569
0.053128884.9758246871453.6462162613
0.063163731.9778333573185.0096490512
0.073196402.4886025172655.4532694266
0.083226684.2347799271108.4725234067
0.093254553.7616961269093.8570062554
0.13280155.0266336466683.9107198332
0.113303713.2137649764153.7611872525
0.123325528.226896962123.5246763543
0.133345992.8332048761257.0190691409
0.143365569.168441661840.3489023631
0.153384720.9312122363750.1456971204
0.163403840.5328364966583.1083377619
0.173423206.9489271769917.8844781976
0.183442984.0899836773440.6232096998
0.193463248.0955416276972.0017984677
0.23484025.251122480470.9879887386
0.213505326.2543107883979.343756147
0.223527169.6042070987604.3856516698
0.233549592.3087999491461.0745140806
0.243572649.1387661395624.4945342978
0.253596403.26010921100098.803247955
0.263620912.00460054104808.032373254
0.273646211.87220412109616.080901141
0.283672306.47333723114331.739735719
0.293699160.0896392118754.909130079
0.33726698.14969732122714.058403133
0.313754814.4633621126065.872818131
0.323783383.70874316128749.33481014
0.333812276.58308288130782.729137308
0.343841374.47719494132263.503082054
0.353870580.80711029133342.941182271
0.363899827.31343544134162.583622953
0.373929075.36990514134862.915779854
0.383958313.89900567135551.235817102
0.393987556.10536315136295.160868771
0.44016836.54524265137171.663182514
0.414046208.37249719138273.374779117
0.424075738.84697253139674.15770292
0.434105500.42550568141430.024245086
0.444135555.64226602143493.91991789
0.454165936.40247365145678.116071317
0.464196621.34517516147644.92085913
0.474227517.24699264148943.011165031
0.484258450.88856632149118.044478903
0.494289175.9430468147790.702657937
0.54319395.75151577144745.468155026
0.514348798.5491416139982.671132385
0.524377098.27506888133764.487028405
0.534404072.68033878126522.020380792
0.544429591.42177804118794.552506209
0.554453629.71794134111177.969460978
0.564476266.86185247104192.699788608
0.574497672.2110711798242.5138464676
0.584518083.3107329893616.1654182734
0.594537781.244945690438.3600385133
0.64557067.4284510688746.0160038797
0.614576244.4481987288456.6303410176
0.624595601.8620953889463.1154932627
0.634615406.4667817391591.6824001259
0.644635895.606918594676.7003657836
0.654657271.6110964298525.5318745325
0.664679695.39191331102923.292075552
0.674703277.68998599107646.269473085
0.684728067.43618868112373.338130874
0.694754038.20334395116752.42639597
0.74781075.45025571120378.910357876
0.714808968.73423773122820.381160091
0.724837413.67456918123666.481100904
0.734866027.66112012122633.665960898
0.744894380.90795421119576.17601298
0.754922040.77409199114595.351887012
0.764948623.28901626108000.290667015
0.774973843.03721811100311.597643873
0.784997552.5222559892213.0383925979
0.795019765.6026367284404.8039168133
0.85040665.6992336877572.4874699979
0.815060605.4679491772301.1722658213
0.825080106.7097276269111.7052847342
0.835099864.4803762368511.6397932485
0.845120747.7621568171006.2023172935
0.855143775.3438366876958.2653233521
0.865170038.7334981986312.8731801769
0.875200554.4711594398318.6928740259
0.885236061.82707415111446.640324784
0.895276830.59739546123554.636264473
0.95322579.92234576132533.712256008
0.915372595.16809021137044.065844331
0.925426053.72281488137183.213537691
0.935482484.77302158134410.486321637
0.945542274.87994682130881.5047203
0.955607106.70168055129047.311856076
0.965679738.06001692131502.360144851
0.975761385.78874642136214.588594961
0.985845375.62765497125046.496124918
0.995912543.3504298472717.4638772917


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')