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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 13:25:20 +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/t1412425679tch7xszqnlivewf.htm/, Retrieved Mon, 13 May 2024 19:04:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238565, Retrieved Mon, 13 May 2024 19:04:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

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 12:25:20] [56e8cb9ede54fa5ca6b1344bd59af70d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11798
8378
8131
7676
7505
8168
6455
6141
6554
6888
5339
1624
9187
5047
5289
4169
3862
4253
3768
3066
4108
3890
3420
1221
5984
4064
5151
4027
3530
4819
3855
3584
4322
4154
4656
1464
7780
5060
6084
4778
4989
4903
4142
4101
4595
5034
5407
1782
8395
5291
6116
4210
4621
5299
4293
4542
3831
4360
4088
1508
6743
4159
5105
4283
4019
4206
3948
3407
3701
4159
4208
2622

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'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238565&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238565&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238565&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011292.01248857594203.201749843934
0.021400.34576282311191.067911506681
0.031526.12299568766255.557484906006
0.041672.23534650184378.83147332267
0.051848.04781400165515.955027094538
0.062054.98410561331628.358278402813
0.072283.82493353105691.030407932897
0.082519.07503827957696.758614478384
0.092744.79383349385654.103797793928
0.12948.8515879238580.569862662049
0.113124.70760609046495.035992633027
0.123271.07642869091412.425688085858
0.133390.39846461763341.595173759379
0.143487.03165420985285.627589558703
0.153565.77142589244243.575754415207
0.163630.93571163496212.50729536434
0.173685.9786561381189.234801153631
0.183733.466558322171.27167429953
0.193775.23390744513157.031968762441
0.23812.58307228228145.611967742007
0.213846.45286077502136.455205482082
0.223877.53215180495129.076136475658
0.233906.32556830075122.966328992908
0.243933.19003965046117.591043381908
0.253958.36023931819112.466273578437
0.263981.9740689941107.233695542047
0.274004.10181103189101.726338273875
0.284024.7772193378695.9191636601719
0.294044.0265376583489.9369606034289
0.34061.8917121033383.9873688698545
0.314078.4457712055178.3317550434049
0.324093.8003480065573.2169820222012
0.334108.1068363948468.8907760062501
0.344121.5533872716465.551914356467
0.354134.3599117748263.3889863263883
0.364146.7727262008262.5593832801433
0.374159.0597436891363.2051659270298
0.384171.5064210126165.4264918869747
0.394184.4121315611469.3147699283029
0.44198.0862995828474.9326505201251
0.414212.8434941662882.2947398869
0.424228.9967339878791.3699703583947
0.434246.84848899743102.087739249231
0.444266.6792695187114.273669426054
0.454288.73422459694127.690919593211
0.464313.20874366677141.991118757682
0.474340.23454321267156.767956489427
0.484369.86798698946171.54494399894
0.494402.08233276626185.805518439589
0.54436.76519623432199.065723413415
0.514473.72184900447210.870197805013
0.524512.68418460623220.857944960003
0.534553.32449530127228.750035843442
0.544595.27277628826234.387692516016
0.554638.13619564713237.72552168133
0.564681.51960165697238.802853139907
0.574725.04634423532237.77293937821
0.584768.37907919644234.882352880339
0.594811.24044782116230.480578643626
0.64853.43351344338225.019303208406
0.614894.86162655187219.051491561816
0.624935.54707648636213.242662531828
0.634975.64755464102208.342317838712
0.645015.46910841137205.184674269495
0.655055.47383232078204.636048047801
0.665096.2799436027207.536122636907
0.675138.65117948916214.646642013668
0.685183.47195258433226.557963656971
0.695231.70501317956243.546002689385
0.75284.33021035321265.459221134148
0.715342.26678313293291.661251308478
0.725406.28722122464320.952314868032
0.735476.93688697497351.694991935908
0.745554.47813513187382.004422733856
0.755638.87809629519410.028998042675
0.765729.85370303018434.328504739804
0.775826.97565333728454.209361917822
0.785929.81675554078469.901081987478
0.796038.11345055927482.621958118938
0.86151.89731425713494.297871013187
0.816271.55075311304507.06141794794
0.826397.75102857502522.549623731171
0.836531.28963370603541.228679014467
0.846672.78696271044561.876989220266
0.856822.35832259454581.596949261038
0.866979.31621459631596.238032365974
0.877142.00403100643601.353236482967
0.887307.84160944366593.327694458317
0.897473.63140933672570.425179937376
0.97636.15523772393533.435498336272
0.917793.13709350276485.871458434952
0.927944.82001216439434.210589693912
0.938096.75136938458389.383977330168
0.948264.83012102108371.685725005081
0.958483.61571054851418.518777168542
0.968815.75710677231581.838308843417
0.979348.31769221326913.281976834233
0.9810139.38038000081440.21840159031
0.9911083.1373884332083.75630981631

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1292.01248857594 & 203.201749843934 \tabularnewline
0.02 & 1400.34576282311 & 191.067911506681 \tabularnewline
0.03 & 1526.12299568766 & 255.557484906006 \tabularnewline
0.04 & 1672.23534650184 & 378.83147332267 \tabularnewline
0.05 & 1848.04781400165 & 515.955027094538 \tabularnewline
0.06 & 2054.98410561331 & 628.358278402813 \tabularnewline
0.07 & 2283.82493353105 & 691.030407932897 \tabularnewline
0.08 & 2519.07503827957 & 696.758614478384 \tabularnewline
0.09 & 2744.79383349385 & 654.103797793928 \tabularnewline
0.1 & 2948.8515879238 & 580.569862662049 \tabularnewline
0.11 & 3124.70760609046 & 495.035992633027 \tabularnewline
0.12 & 3271.07642869091 & 412.425688085858 \tabularnewline
0.13 & 3390.39846461763 & 341.595173759379 \tabularnewline
0.14 & 3487.03165420985 & 285.627589558703 \tabularnewline
0.15 & 3565.77142589244 & 243.575754415207 \tabularnewline
0.16 & 3630.93571163496 & 212.50729536434 \tabularnewline
0.17 & 3685.9786561381 & 189.234801153631 \tabularnewline
0.18 & 3733.466558322 & 171.27167429953 \tabularnewline
0.19 & 3775.23390744513 & 157.031968762441 \tabularnewline
0.2 & 3812.58307228228 & 145.611967742007 \tabularnewline
0.21 & 3846.45286077502 & 136.455205482082 \tabularnewline
0.22 & 3877.53215180495 & 129.076136475658 \tabularnewline
0.23 & 3906.32556830075 & 122.966328992908 \tabularnewline
0.24 & 3933.19003965046 & 117.591043381908 \tabularnewline
0.25 & 3958.36023931819 & 112.466273578437 \tabularnewline
0.26 & 3981.9740689941 & 107.233695542047 \tabularnewline
0.27 & 4004.10181103189 & 101.726338273875 \tabularnewline
0.28 & 4024.77721933786 & 95.9191636601719 \tabularnewline
0.29 & 4044.02653765834 & 89.9369606034289 \tabularnewline
0.3 & 4061.89171210333 & 83.9873688698545 \tabularnewline
0.31 & 4078.44577120551 & 78.3317550434049 \tabularnewline
0.32 & 4093.80034800655 & 73.2169820222012 \tabularnewline
0.33 & 4108.10683639484 & 68.8907760062501 \tabularnewline
0.34 & 4121.55338727164 & 65.551914356467 \tabularnewline
0.35 & 4134.35991177482 & 63.3889863263883 \tabularnewline
0.36 & 4146.77272620082 & 62.5593832801433 \tabularnewline
0.37 & 4159.05974368913 & 63.2051659270298 \tabularnewline
0.38 & 4171.50642101261 & 65.4264918869747 \tabularnewline
0.39 & 4184.41213156114 & 69.3147699283029 \tabularnewline
0.4 & 4198.08629958284 & 74.9326505201251 \tabularnewline
0.41 & 4212.84349416628 & 82.2947398869 \tabularnewline
0.42 & 4228.99673398787 & 91.3699703583947 \tabularnewline
0.43 & 4246.84848899743 & 102.087739249231 \tabularnewline
0.44 & 4266.6792695187 & 114.273669426054 \tabularnewline
0.45 & 4288.73422459694 & 127.690919593211 \tabularnewline
0.46 & 4313.20874366677 & 141.991118757682 \tabularnewline
0.47 & 4340.23454321267 & 156.767956489427 \tabularnewline
0.48 & 4369.86798698946 & 171.54494399894 \tabularnewline
0.49 & 4402.08233276626 & 185.805518439589 \tabularnewline
0.5 & 4436.76519623432 & 199.065723413415 \tabularnewline
0.51 & 4473.72184900447 & 210.870197805013 \tabularnewline
0.52 & 4512.68418460623 & 220.857944960003 \tabularnewline
0.53 & 4553.32449530127 & 228.750035843442 \tabularnewline
0.54 & 4595.27277628826 & 234.387692516016 \tabularnewline
0.55 & 4638.13619564713 & 237.72552168133 \tabularnewline
0.56 & 4681.51960165697 & 238.802853139907 \tabularnewline
0.57 & 4725.04634423532 & 237.77293937821 \tabularnewline
0.58 & 4768.37907919644 & 234.882352880339 \tabularnewline
0.59 & 4811.24044782116 & 230.480578643626 \tabularnewline
0.6 & 4853.43351344338 & 225.019303208406 \tabularnewline
0.61 & 4894.86162655187 & 219.051491561816 \tabularnewline
0.62 & 4935.54707648636 & 213.242662531828 \tabularnewline
0.63 & 4975.64755464102 & 208.342317838712 \tabularnewline
0.64 & 5015.46910841137 & 205.184674269495 \tabularnewline
0.65 & 5055.47383232078 & 204.636048047801 \tabularnewline
0.66 & 5096.2799436027 & 207.536122636907 \tabularnewline
0.67 & 5138.65117948916 & 214.646642013668 \tabularnewline
0.68 & 5183.47195258433 & 226.557963656971 \tabularnewline
0.69 & 5231.70501317956 & 243.546002689385 \tabularnewline
0.7 & 5284.33021035321 & 265.459221134148 \tabularnewline
0.71 & 5342.26678313293 & 291.661251308478 \tabularnewline
0.72 & 5406.28722122464 & 320.952314868032 \tabularnewline
0.73 & 5476.93688697497 & 351.694991935908 \tabularnewline
0.74 & 5554.47813513187 & 382.004422733856 \tabularnewline
0.75 & 5638.87809629519 & 410.028998042675 \tabularnewline
0.76 & 5729.85370303018 & 434.328504739804 \tabularnewline
0.77 & 5826.97565333728 & 454.209361917822 \tabularnewline
0.78 & 5929.81675554078 & 469.901081987478 \tabularnewline
0.79 & 6038.11345055927 & 482.621958118938 \tabularnewline
0.8 & 6151.89731425713 & 494.297871013187 \tabularnewline
0.81 & 6271.55075311304 & 507.06141794794 \tabularnewline
0.82 & 6397.75102857502 & 522.549623731171 \tabularnewline
0.83 & 6531.28963370603 & 541.228679014467 \tabularnewline
0.84 & 6672.78696271044 & 561.876989220266 \tabularnewline
0.85 & 6822.35832259454 & 581.596949261038 \tabularnewline
0.86 & 6979.31621459631 & 596.238032365974 \tabularnewline
0.87 & 7142.00403100643 & 601.353236482967 \tabularnewline
0.88 & 7307.84160944366 & 593.327694458317 \tabularnewline
0.89 & 7473.63140933672 & 570.425179937376 \tabularnewline
0.9 & 7636.15523772393 & 533.435498336272 \tabularnewline
0.91 & 7793.13709350276 & 485.871458434952 \tabularnewline
0.92 & 7944.82001216439 & 434.210589693912 \tabularnewline
0.93 & 8096.75136938458 & 389.383977330168 \tabularnewline
0.94 & 8264.83012102108 & 371.685725005081 \tabularnewline
0.95 & 8483.61571054851 & 418.518777168542 \tabularnewline
0.96 & 8815.75710677231 & 581.838308843417 \tabularnewline
0.97 & 9348.31769221326 & 913.281976834233 \tabularnewline
0.98 & 10139.3803800008 & 1440.21840159031 \tabularnewline
0.99 & 11083.137388433 & 2083.75630981631 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238565&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]1292.01248857594[/C][C]203.201749843934[/C][/ROW]
[ROW][C]0.02[/C][C]1400.34576282311[/C][C]191.067911506681[/C][/ROW]
[ROW][C]0.03[/C][C]1526.12299568766[/C][C]255.557484906006[/C][/ROW]
[ROW][C]0.04[/C][C]1672.23534650184[/C][C]378.83147332267[/C][/ROW]
[ROW][C]0.05[/C][C]1848.04781400165[/C][C]515.955027094538[/C][/ROW]
[ROW][C]0.06[/C][C]2054.98410561331[/C][C]628.358278402813[/C][/ROW]
[ROW][C]0.07[/C][C]2283.82493353105[/C][C]691.030407932897[/C][/ROW]
[ROW][C]0.08[/C][C]2519.07503827957[/C][C]696.758614478384[/C][/ROW]
[ROW][C]0.09[/C][C]2744.79383349385[/C][C]654.103797793928[/C][/ROW]
[ROW][C]0.1[/C][C]2948.8515879238[/C][C]580.569862662049[/C][/ROW]
[ROW][C]0.11[/C][C]3124.70760609046[/C][C]495.035992633027[/C][/ROW]
[ROW][C]0.12[/C][C]3271.07642869091[/C][C]412.425688085858[/C][/ROW]
[ROW][C]0.13[/C][C]3390.39846461763[/C][C]341.595173759379[/C][/ROW]
[ROW][C]0.14[/C][C]3487.03165420985[/C][C]285.627589558703[/C][/ROW]
[ROW][C]0.15[/C][C]3565.77142589244[/C][C]243.575754415207[/C][/ROW]
[ROW][C]0.16[/C][C]3630.93571163496[/C][C]212.50729536434[/C][/ROW]
[ROW][C]0.17[/C][C]3685.9786561381[/C][C]189.234801153631[/C][/ROW]
[ROW][C]0.18[/C][C]3733.466558322[/C][C]171.27167429953[/C][/ROW]
[ROW][C]0.19[/C][C]3775.23390744513[/C][C]157.031968762441[/C][/ROW]
[ROW][C]0.2[/C][C]3812.58307228228[/C][C]145.611967742007[/C][/ROW]
[ROW][C]0.21[/C][C]3846.45286077502[/C][C]136.455205482082[/C][/ROW]
[ROW][C]0.22[/C][C]3877.53215180495[/C][C]129.076136475658[/C][/ROW]
[ROW][C]0.23[/C][C]3906.32556830075[/C][C]122.966328992908[/C][/ROW]
[ROW][C]0.24[/C][C]3933.19003965046[/C][C]117.591043381908[/C][/ROW]
[ROW][C]0.25[/C][C]3958.36023931819[/C][C]112.466273578437[/C][/ROW]
[ROW][C]0.26[/C][C]3981.9740689941[/C][C]107.233695542047[/C][/ROW]
[ROW][C]0.27[/C][C]4004.10181103189[/C][C]101.726338273875[/C][/ROW]
[ROW][C]0.28[/C][C]4024.77721933786[/C][C]95.9191636601719[/C][/ROW]
[ROW][C]0.29[/C][C]4044.02653765834[/C][C]89.9369606034289[/C][/ROW]
[ROW][C]0.3[/C][C]4061.89171210333[/C][C]83.9873688698545[/C][/ROW]
[ROW][C]0.31[/C][C]4078.44577120551[/C][C]78.3317550434049[/C][/ROW]
[ROW][C]0.32[/C][C]4093.80034800655[/C][C]73.2169820222012[/C][/ROW]
[ROW][C]0.33[/C][C]4108.10683639484[/C][C]68.8907760062501[/C][/ROW]
[ROW][C]0.34[/C][C]4121.55338727164[/C][C]65.551914356467[/C][/ROW]
[ROW][C]0.35[/C][C]4134.35991177482[/C][C]63.3889863263883[/C][/ROW]
[ROW][C]0.36[/C][C]4146.77272620082[/C][C]62.5593832801433[/C][/ROW]
[ROW][C]0.37[/C][C]4159.05974368913[/C][C]63.2051659270298[/C][/ROW]
[ROW][C]0.38[/C][C]4171.50642101261[/C][C]65.4264918869747[/C][/ROW]
[ROW][C]0.39[/C][C]4184.41213156114[/C][C]69.3147699283029[/C][/ROW]
[ROW][C]0.4[/C][C]4198.08629958284[/C][C]74.9326505201251[/C][/ROW]
[ROW][C]0.41[/C][C]4212.84349416628[/C][C]82.2947398869[/C][/ROW]
[ROW][C]0.42[/C][C]4228.99673398787[/C][C]91.3699703583947[/C][/ROW]
[ROW][C]0.43[/C][C]4246.84848899743[/C][C]102.087739249231[/C][/ROW]
[ROW][C]0.44[/C][C]4266.6792695187[/C][C]114.273669426054[/C][/ROW]
[ROW][C]0.45[/C][C]4288.73422459694[/C][C]127.690919593211[/C][/ROW]
[ROW][C]0.46[/C][C]4313.20874366677[/C][C]141.991118757682[/C][/ROW]
[ROW][C]0.47[/C][C]4340.23454321267[/C][C]156.767956489427[/C][/ROW]
[ROW][C]0.48[/C][C]4369.86798698946[/C][C]171.54494399894[/C][/ROW]
[ROW][C]0.49[/C][C]4402.08233276626[/C][C]185.805518439589[/C][/ROW]
[ROW][C]0.5[/C][C]4436.76519623432[/C][C]199.065723413415[/C][/ROW]
[ROW][C]0.51[/C][C]4473.72184900447[/C][C]210.870197805013[/C][/ROW]
[ROW][C]0.52[/C][C]4512.68418460623[/C][C]220.857944960003[/C][/ROW]
[ROW][C]0.53[/C][C]4553.32449530127[/C][C]228.750035843442[/C][/ROW]
[ROW][C]0.54[/C][C]4595.27277628826[/C][C]234.387692516016[/C][/ROW]
[ROW][C]0.55[/C][C]4638.13619564713[/C][C]237.72552168133[/C][/ROW]
[ROW][C]0.56[/C][C]4681.51960165697[/C][C]238.802853139907[/C][/ROW]
[ROW][C]0.57[/C][C]4725.04634423532[/C][C]237.77293937821[/C][/ROW]
[ROW][C]0.58[/C][C]4768.37907919644[/C][C]234.882352880339[/C][/ROW]
[ROW][C]0.59[/C][C]4811.24044782116[/C][C]230.480578643626[/C][/ROW]
[ROW][C]0.6[/C][C]4853.43351344338[/C][C]225.019303208406[/C][/ROW]
[ROW][C]0.61[/C][C]4894.86162655187[/C][C]219.051491561816[/C][/ROW]
[ROW][C]0.62[/C][C]4935.54707648636[/C][C]213.242662531828[/C][/ROW]
[ROW][C]0.63[/C][C]4975.64755464102[/C][C]208.342317838712[/C][/ROW]
[ROW][C]0.64[/C][C]5015.46910841137[/C][C]205.184674269495[/C][/ROW]
[ROW][C]0.65[/C][C]5055.47383232078[/C][C]204.636048047801[/C][/ROW]
[ROW][C]0.66[/C][C]5096.2799436027[/C][C]207.536122636907[/C][/ROW]
[ROW][C]0.67[/C][C]5138.65117948916[/C][C]214.646642013668[/C][/ROW]
[ROW][C]0.68[/C][C]5183.47195258433[/C][C]226.557963656971[/C][/ROW]
[ROW][C]0.69[/C][C]5231.70501317956[/C][C]243.546002689385[/C][/ROW]
[ROW][C]0.7[/C][C]5284.33021035321[/C][C]265.459221134148[/C][/ROW]
[ROW][C]0.71[/C][C]5342.26678313293[/C][C]291.661251308478[/C][/ROW]
[ROW][C]0.72[/C][C]5406.28722122464[/C][C]320.952314868032[/C][/ROW]
[ROW][C]0.73[/C][C]5476.93688697497[/C][C]351.694991935908[/C][/ROW]
[ROW][C]0.74[/C][C]5554.47813513187[/C][C]382.004422733856[/C][/ROW]
[ROW][C]0.75[/C][C]5638.87809629519[/C][C]410.028998042675[/C][/ROW]
[ROW][C]0.76[/C][C]5729.85370303018[/C][C]434.328504739804[/C][/ROW]
[ROW][C]0.77[/C][C]5826.97565333728[/C][C]454.209361917822[/C][/ROW]
[ROW][C]0.78[/C][C]5929.81675554078[/C][C]469.901081987478[/C][/ROW]
[ROW][C]0.79[/C][C]6038.11345055927[/C][C]482.621958118938[/C][/ROW]
[ROW][C]0.8[/C][C]6151.89731425713[/C][C]494.297871013187[/C][/ROW]
[ROW][C]0.81[/C][C]6271.55075311304[/C][C]507.06141794794[/C][/ROW]
[ROW][C]0.82[/C][C]6397.75102857502[/C][C]522.549623731171[/C][/ROW]
[ROW][C]0.83[/C][C]6531.28963370603[/C][C]541.228679014467[/C][/ROW]
[ROW][C]0.84[/C][C]6672.78696271044[/C][C]561.876989220266[/C][/ROW]
[ROW][C]0.85[/C][C]6822.35832259454[/C][C]581.596949261038[/C][/ROW]
[ROW][C]0.86[/C][C]6979.31621459631[/C][C]596.238032365974[/C][/ROW]
[ROW][C]0.87[/C][C]7142.00403100643[/C][C]601.353236482967[/C][/ROW]
[ROW][C]0.88[/C][C]7307.84160944366[/C][C]593.327694458317[/C][/ROW]
[ROW][C]0.89[/C][C]7473.63140933672[/C][C]570.425179937376[/C][/ROW]
[ROW][C]0.9[/C][C]7636.15523772393[/C][C]533.435498336272[/C][/ROW]
[ROW][C]0.91[/C][C]7793.13709350276[/C][C]485.871458434952[/C][/ROW]
[ROW][C]0.92[/C][C]7944.82001216439[/C][C]434.210589693912[/C][/ROW]
[ROW][C]0.93[/C][C]8096.75136938458[/C][C]389.383977330168[/C][/ROW]
[ROW][C]0.94[/C][C]8264.83012102108[/C][C]371.685725005081[/C][/ROW]
[ROW][C]0.95[/C][C]8483.61571054851[/C][C]418.518777168542[/C][/ROW]
[ROW][C]0.96[/C][C]8815.75710677231[/C][C]581.838308843417[/C][/ROW]
[ROW][C]0.97[/C][C]9348.31769221326[/C][C]913.281976834233[/C][/ROW]
[ROW][C]0.98[/C][C]10139.3803800008[/C][C]1440.21840159031[/C][/ROW]
[ROW][C]0.99[/C][C]11083.137388433[/C][C]2083.75630981631[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238565&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238565&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
0.011292.01248857594203.201749843934
0.021400.34576282311191.067911506681
0.031526.12299568766255.557484906006
0.041672.23534650184378.83147332267
0.051848.04781400165515.955027094538
0.062054.98410561331628.358278402813
0.072283.82493353105691.030407932897
0.082519.07503827957696.758614478384
0.092744.79383349385654.103797793928
0.12948.8515879238580.569862662049
0.113124.70760609046495.035992633027
0.123271.07642869091412.425688085858
0.133390.39846461763341.595173759379
0.143487.03165420985285.627589558703
0.153565.77142589244243.575754415207
0.163630.93571163496212.50729536434
0.173685.9786561381189.234801153631
0.183733.466558322171.27167429953
0.193775.23390744513157.031968762441
0.23812.58307228228145.611967742007
0.213846.45286077502136.455205482082
0.223877.53215180495129.076136475658
0.233906.32556830075122.966328992908
0.243933.19003965046117.591043381908
0.253958.36023931819112.466273578437
0.263981.9740689941107.233695542047
0.274004.10181103189101.726338273875
0.284024.7772193378695.9191636601719
0.294044.0265376583489.9369606034289
0.34061.8917121033383.9873688698545
0.314078.4457712055178.3317550434049
0.324093.8003480065573.2169820222012
0.334108.1068363948468.8907760062501
0.344121.5533872716465.551914356467
0.354134.3599117748263.3889863263883
0.364146.7727262008262.5593832801433
0.374159.0597436891363.2051659270298
0.384171.5064210126165.4264918869747
0.394184.4121315611469.3147699283029
0.44198.0862995828474.9326505201251
0.414212.8434941662882.2947398869
0.424228.9967339878791.3699703583947
0.434246.84848899743102.087739249231
0.444266.6792695187114.273669426054
0.454288.73422459694127.690919593211
0.464313.20874366677141.991118757682
0.474340.23454321267156.767956489427
0.484369.86798698946171.54494399894
0.494402.08233276626185.805518439589
0.54436.76519623432199.065723413415
0.514473.72184900447210.870197805013
0.524512.68418460623220.857944960003
0.534553.32449530127228.750035843442
0.544595.27277628826234.387692516016
0.554638.13619564713237.72552168133
0.564681.51960165697238.802853139907
0.574725.04634423532237.77293937821
0.584768.37907919644234.882352880339
0.594811.24044782116230.480578643626
0.64853.43351344338225.019303208406
0.614894.86162655187219.051491561816
0.624935.54707648636213.242662531828
0.634975.64755464102208.342317838712
0.645015.46910841137205.184674269495
0.655055.47383232078204.636048047801
0.665096.2799436027207.536122636907
0.675138.65117948916214.646642013668
0.685183.47195258433226.557963656971
0.695231.70501317956243.546002689385
0.75284.33021035321265.459221134148
0.715342.26678313293291.661251308478
0.725406.28722122464320.952314868032
0.735476.93688697497351.694991935908
0.745554.47813513187382.004422733856
0.755638.87809629519410.028998042675
0.765729.85370303018434.328504739804
0.775826.97565333728454.209361917822
0.785929.81675554078469.901081987478
0.796038.11345055927482.621958118938
0.86151.89731425713494.297871013187
0.816271.55075311304507.06141794794
0.826397.75102857502522.549623731171
0.836531.28963370603541.228679014467
0.846672.78696271044561.876989220266
0.856822.35832259454581.596949261038
0.866979.31621459631596.238032365974
0.877142.00403100643601.353236482967
0.887307.84160944366593.327694458317
0.897473.63140933672570.425179937376
0.97636.15523772393533.435498336272
0.917793.13709350276485.871458434952
0.927944.82001216439434.210589693912
0.938096.75136938458389.383977330168
0.948264.83012102108371.685725005081
0.958483.61571054851418.518777168542
0.968815.75710677231581.838308843417
0.979348.31769221326913.281976834233
0.9810139.38038000081440.21840159031
0.9911083.1373884332083.75630981631


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')