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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 15 Jan 2012 18:13:18 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Jan/15/t132666931748sfvbg8rqh9xag.htm/, Retrieved Fri, 03 May 2024 09:35:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=161157, Retrieved Fri, 03 May 2024 09:35:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact90

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] [] [2012-01-15 23:13:18] [be958d63cbc449c3910bbbf4c2665e23] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
123.06
123.39
124.02
124.05
123.99
124.46
124.46
124.6
124.84
124.84
124.99
125.02
128.27
128.38
128.47
128.52
128.71
128.92
128.92
128.82
128.97
129.04
128.95
129.39
129.39
129.48
130.16
129.89
129.85
129.9
129.9
129.57
129.54
129.57
128.97
129.01
129.01
128.72
128.32
128.39
128.33
128.44
128.44
128.6
128.3
128.56
128.01
128.01
128.01
128.26
128.38
128.36
128.48
128.46
128.46
129.56
129.66
129.47
129.41
129.48
129.48
130.17
129.77
129.87
129.97
130.05
130.05
129.89
130.33
130.6
131.46
131.73

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161157&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161157&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161157&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01123.1915329807210.363439622206323
0.02123.4016750919080.396912069822518
0.03123.6252871408930.381191598247164
0.04123.824000764650.336943048234069
0.05123.9897067126340.30644423514154
0.06124.1306479354520.307299363577185
0.07124.2594112344440.334090808780285
0.08124.3873266525440.382100547588405
0.09124.5236181048020.455784915655356
0.1124.6763012512590.561557405716852
0.11124.852676238380.699973164344052
0.12125.0587135167520.862244446152847
0.13125.2976975944411.03135601310804
0.14125.5689006478011.18547897800576
0.15125.8669622030541.30294410403753
0.16126.1823036367831.36674826585219
0.17126.5025079679021.36840039036131
0.18126.8142844826261.30919505697891
0.19127.1054951832291.19908230477199
0.2127.3667629378431.05383054735802
0.21127.5923634208150.891227285902019
0.22127.780338953820.727693619855073
0.23127.9319755786780.576044649282085
0.24128.0509000379560.444495221236455
0.25128.1420697333390.336430763562096
0.26128.2108706540230.25229488464753
0.27128.2624460372470.189593622056709
0.28128.3012891375160.144829882803388
0.29128.3310695152740.114376861065379
0.3128.3546301227750.0944622743504328
0.31128.3740869719950.0823364201267481
0.32128.3909740640730.075654625390854
0.33128.4063935521020.0728475216984676
0.34128.4211478686230.0728478157951721
0.35128.4358434099430.0753683093587951
0.36128.4509636891450.0799118301221629
0.37128.4669144875590.0864561542475254
0.38128.4840457305620.0947314236892143
0.39128.5026556902840.104636501739107
0.4128.5229833704780.115434348253249
0.41128.5451948674240.127035703006332
0.42128.5693691799320.138655905370642
0.43128.5954883037520.149958705643836
0.44128.6234354276860.159961388079828
0.45128.6530036422180.168670386857621
0.46128.6839158456370.175156671171877
0.47128.7158546334820.179767958659106
0.48128.748499094450.182396146032161
0.49128.7815638633930.183232815566253
0.5128.8148347685030.183019872844848
0.51128.8481951995820.18231921828935
0.52128.8816380859420.181878594693274
0.53128.9152601413070.18247258881817
0.54128.9492376631150.184575264210552
0.55128.9837863153290.188332359341487
0.56129.0191104482330.193407923126591
0.57129.0553499865430.19940154962664
0.58129.0925341483490.205298049083945
0.59129.1305508246220.210006587139611
0.6129.1691382560730.212693963902885
0.61129.2079019897350.212547936220482
0.62129.2463556499560.209265845150001
0.63129.2839797193010.202474132611473
0.64129.3202892102470.192844521762215
0.65129.3548995072870.180991264216612
0.66129.3875800454740.168022574993124
0.67129.4182876604720.155044019166509
0.68129.4471747985220.143389892199348
0.69129.4745715323170.13389432229382
0.7129.5009437894010.127513277976093
0.71129.5268329481280.124316142675206
0.72129.5527839290220.124472123648228
0.73129.5792702886620.127088058993042
0.74129.6066258003460.131371238099657
0.75129.6349925321190.135857350199688
0.76129.6642950925920.139556191268407
0.77129.6942488247940.141058172326265
0.78129.7244056665710.139937186274274
0.79129.7542350560680.135713874763681
0.8129.7832294302630.128647354150291
0.81129.8110163314180.119564047476482
0.82129.8374543954820.109808507616936
0.83129.8626910772330.100781145903912
0.84129.8871675532450.0940783420431763
0.85129.9115708814080.0907722476380862
0.86129.9367532388480.091193900899337
0.87129.9636593487540.0950016837195043
0.88129.9933220036230.101302598644065
0.89130.0269986185630.109808884977344
0.9130.0665257143320.121257117304107
0.91130.1149526301970.138234479571406
0.92130.1774440673670.165761216198625
0.93130.2622267179240.211120376167986
0.94130.3808815843080.28165693778182
0.95130.5465762610730.378569561085589
0.96130.7684249069850.485522423196295
0.97131.0412907655860.556830368222535
0.98131.3341896528610.529728846627583
0.99131.5867747834560.392394500098579

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 123.191532980721 & 0.363439622206323 \tabularnewline
0.02 & 123.401675091908 & 0.396912069822518 \tabularnewline
0.03 & 123.625287140893 & 0.381191598247164 \tabularnewline
0.04 & 123.82400076465 & 0.336943048234069 \tabularnewline
0.05 & 123.989706712634 & 0.30644423514154 \tabularnewline
0.06 & 124.130647935452 & 0.307299363577185 \tabularnewline
0.07 & 124.259411234444 & 0.334090808780285 \tabularnewline
0.08 & 124.387326652544 & 0.382100547588405 \tabularnewline
0.09 & 124.523618104802 & 0.455784915655356 \tabularnewline
0.1 & 124.676301251259 & 0.561557405716852 \tabularnewline
0.11 & 124.85267623838 & 0.699973164344052 \tabularnewline
0.12 & 125.058713516752 & 0.862244446152847 \tabularnewline
0.13 & 125.297697594441 & 1.03135601310804 \tabularnewline
0.14 & 125.568900647801 & 1.18547897800576 \tabularnewline
0.15 & 125.866962203054 & 1.30294410403753 \tabularnewline
0.16 & 126.182303636783 & 1.36674826585219 \tabularnewline
0.17 & 126.502507967902 & 1.36840039036131 \tabularnewline
0.18 & 126.814284482626 & 1.30919505697891 \tabularnewline
0.19 & 127.105495183229 & 1.19908230477199 \tabularnewline
0.2 & 127.366762937843 & 1.05383054735802 \tabularnewline
0.21 & 127.592363420815 & 0.891227285902019 \tabularnewline
0.22 & 127.78033895382 & 0.727693619855073 \tabularnewline
0.23 & 127.931975578678 & 0.576044649282085 \tabularnewline
0.24 & 128.050900037956 & 0.444495221236455 \tabularnewline
0.25 & 128.142069733339 & 0.336430763562096 \tabularnewline
0.26 & 128.210870654023 & 0.25229488464753 \tabularnewline
0.27 & 128.262446037247 & 0.189593622056709 \tabularnewline
0.28 & 128.301289137516 & 0.144829882803388 \tabularnewline
0.29 & 128.331069515274 & 0.114376861065379 \tabularnewline
0.3 & 128.354630122775 & 0.0944622743504328 \tabularnewline
0.31 & 128.374086971995 & 0.0823364201267481 \tabularnewline
0.32 & 128.390974064073 & 0.075654625390854 \tabularnewline
0.33 & 128.406393552102 & 0.0728475216984676 \tabularnewline
0.34 & 128.421147868623 & 0.0728478157951721 \tabularnewline
0.35 & 128.435843409943 & 0.0753683093587951 \tabularnewline
0.36 & 128.450963689145 & 0.0799118301221629 \tabularnewline
0.37 & 128.466914487559 & 0.0864561542475254 \tabularnewline
0.38 & 128.484045730562 & 0.0947314236892143 \tabularnewline
0.39 & 128.502655690284 & 0.104636501739107 \tabularnewline
0.4 & 128.522983370478 & 0.115434348253249 \tabularnewline
0.41 & 128.545194867424 & 0.127035703006332 \tabularnewline
0.42 & 128.569369179932 & 0.138655905370642 \tabularnewline
0.43 & 128.595488303752 & 0.149958705643836 \tabularnewline
0.44 & 128.623435427686 & 0.159961388079828 \tabularnewline
0.45 & 128.653003642218 & 0.168670386857621 \tabularnewline
0.46 & 128.683915845637 & 0.175156671171877 \tabularnewline
0.47 & 128.715854633482 & 0.179767958659106 \tabularnewline
0.48 & 128.74849909445 & 0.182396146032161 \tabularnewline
0.49 & 128.781563863393 & 0.183232815566253 \tabularnewline
0.5 & 128.814834768503 & 0.183019872844848 \tabularnewline
0.51 & 128.848195199582 & 0.18231921828935 \tabularnewline
0.52 & 128.881638085942 & 0.181878594693274 \tabularnewline
0.53 & 128.915260141307 & 0.18247258881817 \tabularnewline
0.54 & 128.949237663115 & 0.184575264210552 \tabularnewline
0.55 & 128.983786315329 & 0.188332359341487 \tabularnewline
0.56 & 129.019110448233 & 0.193407923126591 \tabularnewline
0.57 & 129.055349986543 & 0.19940154962664 \tabularnewline
0.58 & 129.092534148349 & 0.205298049083945 \tabularnewline
0.59 & 129.130550824622 & 0.210006587139611 \tabularnewline
0.6 & 129.169138256073 & 0.212693963902885 \tabularnewline
0.61 & 129.207901989735 & 0.212547936220482 \tabularnewline
0.62 & 129.246355649956 & 0.209265845150001 \tabularnewline
0.63 & 129.283979719301 & 0.202474132611473 \tabularnewline
0.64 & 129.320289210247 & 0.192844521762215 \tabularnewline
0.65 & 129.354899507287 & 0.180991264216612 \tabularnewline
0.66 & 129.387580045474 & 0.168022574993124 \tabularnewline
0.67 & 129.418287660472 & 0.155044019166509 \tabularnewline
0.68 & 129.447174798522 & 0.143389892199348 \tabularnewline
0.69 & 129.474571532317 & 0.13389432229382 \tabularnewline
0.7 & 129.500943789401 & 0.127513277976093 \tabularnewline
0.71 & 129.526832948128 & 0.124316142675206 \tabularnewline
0.72 & 129.552783929022 & 0.124472123648228 \tabularnewline
0.73 & 129.579270288662 & 0.127088058993042 \tabularnewline
0.74 & 129.606625800346 & 0.131371238099657 \tabularnewline
0.75 & 129.634992532119 & 0.135857350199688 \tabularnewline
0.76 & 129.664295092592 & 0.139556191268407 \tabularnewline
0.77 & 129.694248824794 & 0.141058172326265 \tabularnewline
0.78 & 129.724405666571 & 0.139937186274274 \tabularnewline
0.79 & 129.754235056068 & 0.135713874763681 \tabularnewline
0.8 & 129.783229430263 & 0.128647354150291 \tabularnewline
0.81 & 129.811016331418 & 0.119564047476482 \tabularnewline
0.82 & 129.837454395482 & 0.109808507616936 \tabularnewline
0.83 & 129.862691077233 & 0.100781145903912 \tabularnewline
0.84 & 129.887167553245 & 0.0940783420431763 \tabularnewline
0.85 & 129.911570881408 & 0.0907722476380862 \tabularnewline
0.86 & 129.936753238848 & 0.091193900899337 \tabularnewline
0.87 & 129.963659348754 & 0.0950016837195043 \tabularnewline
0.88 & 129.993322003623 & 0.101302598644065 \tabularnewline
0.89 & 130.026998618563 & 0.109808884977344 \tabularnewline
0.9 & 130.066525714332 & 0.121257117304107 \tabularnewline
0.91 & 130.114952630197 & 0.138234479571406 \tabularnewline
0.92 & 130.177444067367 & 0.165761216198625 \tabularnewline
0.93 & 130.262226717924 & 0.211120376167986 \tabularnewline
0.94 & 130.380881584308 & 0.28165693778182 \tabularnewline
0.95 & 130.546576261073 & 0.378569561085589 \tabularnewline
0.96 & 130.768424906985 & 0.485522423196295 \tabularnewline
0.97 & 131.041290765586 & 0.556830368222535 \tabularnewline
0.98 & 131.334189652861 & 0.529728846627583 \tabularnewline
0.99 & 131.586774783456 & 0.392394500098579 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161157&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]123.191532980721[/C][C]0.363439622206323[/C][/ROW]
[ROW][C]0.02[/C][C]123.401675091908[/C][C]0.396912069822518[/C][/ROW]
[ROW][C]0.03[/C][C]123.625287140893[/C][C]0.381191598247164[/C][/ROW]
[ROW][C]0.04[/C][C]123.82400076465[/C][C]0.336943048234069[/C][/ROW]
[ROW][C]0.05[/C][C]123.989706712634[/C][C]0.30644423514154[/C][/ROW]
[ROW][C]0.06[/C][C]124.130647935452[/C][C]0.307299363577185[/C][/ROW]
[ROW][C]0.07[/C][C]124.259411234444[/C][C]0.334090808780285[/C][/ROW]
[ROW][C]0.08[/C][C]124.387326652544[/C][C]0.382100547588405[/C][/ROW]
[ROW][C]0.09[/C][C]124.523618104802[/C][C]0.455784915655356[/C][/ROW]
[ROW][C]0.1[/C][C]124.676301251259[/C][C]0.561557405716852[/C][/ROW]
[ROW][C]0.11[/C][C]124.85267623838[/C][C]0.699973164344052[/C][/ROW]
[ROW][C]0.12[/C][C]125.058713516752[/C][C]0.862244446152847[/C][/ROW]
[ROW][C]0.13[/C][C]125.297697594441[/C][C]1.03135601310804[/C][/ROW]
[ROW][C]0.14[/C][C]125.568900647801[/C][C]1.18547897800576[/C][/ROW]
[ROW][C]0.15[/C][C]125.866962203054[/C][C]1.30294410403753[/C][/ROW]
[ROW][C]0.16[/C][C]126.182303636783[/C][C]1.36674826585219[/C][/ROW]
[ROW][C]0.17[/C][C]126.502507967902[/C][C]1.36840039036131[/C][/ROW]
[ROW][C]0.18[/C][C]126.814284482626[/C][C]1.30919505697891[/C][/ROW]
[ROW][C]0.19[/C][C]127.105495183229[/C][C]1.19908230477199[/C][/ROW]
[ROW][C]0.2[/C][C]127.366762937843[/C][C]1.05383054735802[/C][/ROW]
[ROW][C]0.21[/C][C]127.592363420815[/C][C]0.891227285902019[/C][/ROW]
[ROW][C]0.22[/C][C]127.78033895382[/C][C]0.727693619855073[/C][/ROW]
[ROW][C]0.23[/C][C]127.931975578678[/C][C]0.576044649282085[/C][/ROW]
[ROW][C]0.24[/C][C]128.050900037956[/C][C]0.444495221236455[/C][/ROW]
[ROW][C]0.25[/C][C]128.142069733339[/C][C]0.336430763562096[/C][/ROW]
[ROW][C]0.26[/C][C]128.210870654023[/C][C]0.25229488464753[/C][/ROW]
[ROW][C]0.27[/C][C]128.262446037247[/C][C]0.189593622056709[/C][/ROW]
[ROW][C]0.28[/C][C]128.301289137516[/C][C]0.144829882803388[/C][/ROW]
[ROW][C]0.29[/C][C]128.331069515274[/C][C]0.114376861065379[/C][/ROW]
[ROW][C]0.3[/C][C]128.354630122775[/C][C]0.0944622743504328[/C][/ROW]
[ROW][C]0.31[/C][C]128.374086971995[/C][C]0.0823364201267481[/C][/ROW]
[ROW][C]0.32[/C][C]128.390974064073[/C][C]0.075654625390854[/C][/ROW]
[ROW][C]0.33[/C][C]128.406393552102[/C][C]0.0728475216984676[/C][/ROW]
[ROW][C]0.34[/C][C]128.421147868623[/C][C]0.0728478157951721[/C][/ROW]
[ROW][C]0.35[/C][C]128.435843409943[/C][C]0.0753683093587951[/C][/ROW]
[ROW][C]0.36[/C][C]128.450963689145[/C][C]0.0799118301221629[/C][/ROW]
[ROW][C]0.37[/C][C]128.466914487559[/C][C]0.0864561542475254[/C][/ROW]
[ROW][C]0.38[/C][C]128.484045730562[/C][C]0.0947314236892143[/C][/ROW]
[ROW][C]0.39[/C][C]128.502655690284[/C][C]0.104636501739107[/C][/ROW]
[ROW][C]0.4[/C][C]128.522983370478[/C][C]0.115434348253249[/C][/ROW]
[ROW][C]0.41[/C][C]128.545194867424[/C][C]0.127035703006332[/C][/ROW]
[ROW][C]0.42[/C][C]128.569369179932[/C][C]0.138655905370642[/C][/ROW]
[ROW][C]0.43[/C][C]128.595488303752[/C][C]0.149958705643836[/C][/ROW]
[ROW][C]0.44[/C][C]128.623435427686[/C][C]0.159961388079828[/C][/ROW]
[ROW][C]0.45[/C][C]128.653003642218[/C][C]0.168670386857621[/C][/ROW]
[ROW][C]0.46[/C][C]128.683915845637[/C][C]0.175156671171877[/C][/ROW]
[ROW][C]0.47[/C][C]128.715854633482[/C][C]0.179767958659106[/C][/ROW]
[ROW][C]0.48[/C][C]128.74849909445[/C][C]0.182396146032161[/C][/ROW]
[ROW][C]0.49[/C][C]128.781563863393[/C][C]0.183232815566253[/C][/ROW]
[ROW][C]0.5[/C][C]128.814834768503[/C][C]0.183019872844848[/C][/ROW]
[ROW][C]0.51[/C][C]128.848195199582[/C][C]0.18231921828935[/C][/ROW]
[ROW][C]0.52[/C][C]128.881638085942[/C][C]0.181878594693274[/C][/ROW]
[ROW][C]0.53[/C][C]128.915260141307[/C][C]0.18247258881817[/C][/ROW]
[ROW][C]0.54[/C][C]128.949237663115[/C][C]0.184575264210552[/C][/ROW]
[ROW][C]0.55[/C][C]128.983786315329[/C][C]0.188332359341487[/C][/ROW]
[ROW][C]0.56[/C][C]129.019110448233[/C][C]0.193407923126591[/C][/ROW]
[ROW][C]0.57[/C][C]129.055349986543[/C][C]0.19940154962664[/C][/ROW]
[ROW][C]0.58[/C][C]129.092534148349[/C][C]0.205298049083945[/C][/ROW]
[ROW][C]0.59[/C][C]129.130550824622[/C][C]0.210006587139611[/C][/ROW]
[ROW][C]0.6[/C][C]129.169138256073[/C][C]0.212693963902885[/C][/ROW]
[ROW][C]0.61[/C][C]129.207901989735[/C][C]0.212547936220482[/C][/ROW]
[ROW][C]0.62[/C][C]129.246355649956[/C][C]0.209265845150001[/C][/ROW]
[ROW][C]0.63[/C][C]129.283979719301[/C][C]0.202474132611473[/C][/ROW]
[ROW][C]0.64[/C][C]129.320289210247[/C][C]0.192844521762215[/C][/ROW]
[ROW][C]0.65[/C][C]129.354899507287[/C][C]0.180991264216612[/C][/ROW]
[ROW][C]0.66[/C][C]129.387580045474[/C][C]0.168022574993124[/C][/ROW]
[ROW][C]0.67[/C][C]129.418287660472[/C][C]0.155044019166509[/C][/ROW]
[ROW][C]0.68[/C][C]129.447174798522[/C][C]0.143389892199348[/C][/ROW]
[ROW][C]0.69[/C][C]129.474571532317[/C][C]0.13389432229382[/C][/ROW]
[ROW][C]0.7[/C][C]129.500943789401[/C][C]0.127513277976093[/C][/ROW]
[ROW][C]0.71[/C][C]129.526832948128[/C][C]0.124316142675206[/C][/ROW]
[ROW][C]0.72[/C][C]129.552783929022[/C][C]0.124472123648228[/C][/ROW]
[ROW][C]0.73[/C][C]129.579270288662[/C][C]0.127088058993042[/C][/ROW]
[ROW][C]0.74[/C][C]129.606625800346[/C][C]0.131371238099657[/C][/ROW]
[ROW][C]0.75[/C][C]129.634992532119[/C][C]0.135857350199688[/C][/ROW]
[ROW][C]0.76[/C][C]129.664295092592[/C][C]0.139556191268407[/C][/ROW]
[ROW][C]0.77[/C][C]129.694248824794[/C][C]0.141058172326265[/C][/ROW]
[ROW][C]0.78[/C][C]129.724405666571[/C][C]0.139937186274274[/C][/ROW]
[ROW][C]0.79[/C][C]129.754235056068[/C][C]0.135713874763681[/C][/ROW]
[ROW][C]0.8[/C][C]129.783229430263[/C][C]0.128647354150291[/C][/ROW]
[ROW][C]0.81[/C][C]129.811016331418[/C][C]0.119564047476482[/C][/ROW]
[ROW][C]0.82[/C][C]129.837454395482[/C][C]0.109808507616936[/C][/ROW]
[ROW][C]0.83[/C][C]129.862691077233[/C][C]0.100781145903912[/C][/ROW]
[ROW][C]0.84[/C][C]129.887167553245[/C][C]0.0940783420431763[/C][/ROW]
[ROW][C]0.85[/C][C]129.911570881408[/C][C]0.0907722476380862[/C][/ROW]
[ROW][C]0.86[/C][C]129.936753238848[/C][C]0.091193900899337[/C][/ROW]
[ROW][C]0.87[/C][C]129.963659348754[/C][C]0.0950016837195043[/C][/ROW]
[ROW][C]0.88[/C][C]129.993322003623[/C][C]0.101302598644065[/C][/ROW]
[ROW][C]0.89[/C][C]130.026998618563[/C][C]0.109808884977344[/C][/ROW]
[ROW][C]0.9[/C][C]130.066525714332[/C][C]0.121257117304107[/C][/ROW]
[ROW][C]0.91[/C][C]130.114952630197[/C][C]0.138234479571406[/C][/ROW]
[ROW][C]0.92[/C][C]130.177444067367[/C][C]0.165761216198625[/C][/ROW]
[ROW][C]0.93[/C][C]130.262226717924[/C][C]0.211120376167986[/C][/ROW]
[ROW][C]0.94[/C][C]130.380881584308[/C][C]0.28165693778182[/C][/ROW]
[ROW][C]0.95[/C][C]130.546576261073[/C][C]0.378569561085589[/C][/ROW]
[ROW][C]0.96[/C][C]130.768424906985[/C][C]0.485522423196295[/C][/ROW]
[ROW][C]0.97[/C][C]131.041290765586[/C][C]0.556830368222535[/C][/ROW]
[ROW][C]0.98[/C][C]131.334189652861[/C][C]0.529728846627583[/C][/ROW]
[ROW][C]0.99[/C][C]131.586774783456[/C][C]0.392394500098579[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161157&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161157&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
0.01123.1915329807210.363439622206323
0.02123.4016750919080.396912069822518
0.03123.6252871408930.381191598247164
0.04123.824000764650.336943048234069
0.05123.9897067126340.30644423514154
0.06124.1306479354520.307299363577185
0.07124.2594112344440.334090808780285
0.08124.3873266525440.382100547588405
0.09124.5236181048020.455784915655356
0.1124.6763012512590.561557405716852
0.11124.852676238380.699973164344052
0.12125.0587135167520.862244446152847
0.13125.2976975944411.03135601310804
0.14125.5689006478011.18547897800576
0.15125.8669622030541.30294410403753
0.16126.1823036367831.36674826585219
0.17126.5025079679021.36840039036131
0.18126.8142844826261.30919505697891
0.19127.1054951832291.19908230477199
0.2127.3667629378431.05383054735802
0.21127.5923634208150.891227285902019
0.22127.780338953820.727693619855073
0.23127.9319755786780.576044649282085
0.24128.0509000379560.444495221236455
0.25128.1420697333390.336430763562096
0.26128.2108706540230.25229488464753
0.27128.2624460372470.189593622056709
0.28128.3012891375160.144829882803388
0.29128.3310695152740.114376861065379
0.3128.3546301227750.0944622743504328
0.31128.3740869719950.0823364201267481
0.32128.3909740640730.075654625390854
0.33128.4063935521020.0728475216984676
0.34128.4211478686230.0728478157951721
0.35128.4358434099430.0753683093587951
0.36128.4509636891450.0799118301221629
0.37128.4669144875590.0864561542475254
0.38128.4840457305620.0947314236892143
0.39128.5026556902840.104636501739107
0.4128.5229833704780.115434348253249
0.41128.5451948674240.127035703006332
0.42128.5693691799320.138655905370642
0.43128.5954883037520.149958705643836
0.44128.6234354276860.159961388079828
0.45128.6530036422180.168670386857621
0.46128.6839158456370.175156671171877
0.47128.7158546334820.179767958659106
0.48128.748499094450.182396146032161
0.49128.7815638633930.183232815566253
0.5128.8148347685030.183019872844848
0.51128.8481951995820.18231921828935
0.52128.8816380859420.181878594693274
0.53128.9152601413070.18247258881817
0.54128.9492376631150.184575264210552
0.55128.9837863153290.188332359341487
0.56129.0191104482330.193407923126591
0.57129.0553499865430.19940154962664
0.58129.0925341483490.205298049083945
0.59129.1305508246220.210006587139611
0.6129.1691382560730.212693963902885
0.61129.2079019897350.212547936220482
0.62129.2463556499560.209265845150001
0.63129.2839797193010.202474132611473
0.64129.3202892102470.192844521762215
0.65129.3548995072870.180991264216612
0.66129.3875800454740.168022574993124
0.67129.4182876604720.155044019166509
0.68129.4471747985220.143389892199348
0.69129.4745715323170.13389432229382
0.7129.5009437894010.127513277976093
0.71129.5268329481280.124316142675206
0.72129.5527839290220.124472123648228
0.73129.5792702886620.127088058993042
0.74129.6066258003460.131371238099657
0.75129.6349925321190.135857350199688
0.76129.6642950925920.139556191268407
0.77129.6942488247940.141058172326265
0.78129.7244056665710.139937186274274
0.79129.7542350560680.135713874763681
0.8129.7832294302630.128647354150291
0.81129.8110163314180.119564047476482
0.82129.8374543954820.109808507616936
0.83129.8626910772330.100781145903912
0.84129.8871675532450.0940783420431763
0.85129.9115708814080.0907722476380862
0.86129.9367532388480.091193900899337
0.87129.9636593487540.0950016837195043
0.88129.9933220036230.101302598644065
0.89130.0269986185630.109808884977344
0.9130.0665257143320.121257117304107
0.91130.1149526301970.138234479571406
0.92130.1774440673670.165761216198625
0.93130.2622267179240.211120376167986
0.94130.3808815843080.28165693778182
0.95130.5465762610730.378569561085589
0.96130.7684249069850.485522423196295
0.97131.0412907655860.556830368222535
0.98131.3341896528610.529728846627583
0.99131.5867747834560.392394500098579


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')