FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 26 Dec 2014 12:54:18 +0000
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/Dec/26/t141959855043bsvpzl2tajcfv.htm/, Retrieved Thu, 16 May 2024 15:57:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271535, Retrieved Thu, 16 May 2024 15:57:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Data reeks - aant...] [2014-09-23 14:19:26] [7374732ae26351929a6f66a8cd8fe417]
- RMPD    [Harrell-Davis Quantiles] [Percentielen luch...] [2014-12-26 12:54:18] [be7d2a6a6c016378f31f309d9b06695b] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3167956,00
3001753,00
3571343,00
3990145,00
4472259,00
4487988,00
5021544,00
4877589,00
4563348,00
4452338,00
3535989,00
3454304,00
3331523,00
3213977,00
3896807,00
4121803,00
4566599,00
4529566,00
5172312,00
5121598,00
4713449,00
4656638,00
3647578,00
3545823,00
3388686,00
3348700,00
3973721,00
4156519,00
4713826,00
4704148,00
5175950,00
5025767,00
4600637,00
4560314,00
3443549,00
3333873,00
3072606,00
2891262,00
3390581,00
3888685,00
4173577,00
4130139,00
4851476,00
4811406,00
4322719,00
4274814,00
3355439,00
3293039,00
3114971,00
3049444,00
3697355,00
3213665,00
4447089,00
4442139,00
5119203,00
5058056,00
4623783,00
4666071,00
3719403,00
3440349,00
3466587,00
3251624,00
3921482,00
4466794,00
4916693,00
4939490,00
5627276,00
5540569,00
5128892,00
5024163,00
3807138,00
3777434,00
3675761,00
3552136,00
4177498,00
4568847,00
5027940,00
5078079,00
5759003,00
5671424,00
5239374,00
5100023,00
3944666,00
3858569,00
3670053,00
3563751,00
4341934,00
4779391,00
5440427,00
5404974,00
5934128,00
5942981,00
5477811,00
5288928,00
4099344,00
4103791,00

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271535&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271535&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271535&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'George Udny Yule' @ yule.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=271535&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=271535&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271535&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')