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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 computationMon, 20 May 2013 08:36:38 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/May/20/t1369053427jvb1mec5swkj2pr.htm/, Retrieved Mon, 27 Jul 2026 11:54:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=209128, Retrieved Mon, 27 Jul 2026 11:54:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact358

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] [Harrell-Davis pri...] [2013-05-20 12:36:38] [764249a9cc4864d99a8b0ce95556daaa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
163,93
164,28
164,58
165,97
166,3
166,27
166,27
166,44
166,26
166,64
166,07
166,19
166,19
166,19
166,35
166,52
167,17
167,16
167,16
167,16
167,39
168,46
168,55
168,58
168,58
169,21
169,29
169,24
169,53
169,57
169,57
169,67
170,04
170,39
170,57
170,48
170,48
170,48
170,49
170,72
171,11
171,07
171,07
171,07
171,05
172,28
172,74
172,86
172,86
173,24
173,2
173,38
172,89
172,98
172,98
172,69
172,77
172,65
172,3
172,17
172,17
173,07
173,27
173,05
173,41
173,37
173,37
173,08
173,97
175,23
174,9
174,83

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209128&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209128&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209128&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01164.0774296049940.406717995794993
0.02164.3440240783820.570777446058007
0.03164.6806677870050.726131363322923
0.04165.0364683306880.770896921537719
0.05165.3672666491950.696223667327651
0.06165.642847298970.552107388733757
0.07165.8516590792150.396887882258301
0.08165.9983573973140.268187390787678
0.09166.0965953977050.178971496704293
0.1166.1619951227550.127651170062656
0.11166.2079864711770.106190989817603
0.12166.2445020780440.106356452928606
0.13166.2783344499360.121409581284574
0.14166.3140300197160.147327810002781
0.15166.3546956424090.181849207759887
0.16166.4025229355620.223509291478878
0.17166.4590632038010.270297260029381
0.18166.5253560311070.32054482777763
0.19166.6020037217250.372835546451102
0.2166.6892445828140.425891879535694
0.21166.7870384779390.478983131157583
0.22166.8951508926210.53147575248885
0.23167.0132114462160.583663517834773
0.24167.1407283334660.634586994410315
0.25167.2770562390940.683414850415165
0.26167.4213338972680.728037457912986
0.27167.5724207449250.766717464230143
0.28167.7288648636930.796771946302057
0.29167.8889258376120.816717879311113
0.3168.0506597704170.825235490903863
0.31168.2120555138520.822443666251215
0.32168.3711971367690.809130673891281
0.33168.5264216011630.787359783120721
0.34168.6764431386430.75975646487305
0.35168.8204248283010.72891590501237
0.36168.9579898422260.697298955305974
0.37169.0891763201410.666910794791433
0.38169.2143485585770.639705407709782
0.39169.3340822646020.61629858030288
0.4169.4490432190180.596820695685681
0.41169.5598774970720.580531321612807
0.42169.6671280943390.566824623725873
0.43169.7711879300320.55420593332054
0.44169.8722932272620.541550295213137
0.45169.970554834150.528185045279133
0.46170.0660190465730.514026821399289
0.47170.158744968370.499231133977514
0.48170.248883299320.484699383842044
0.49170.336742094370.471773636022189
0.5170.4228282218390.461965787199309
0.51170.5078580528930.456737484221561
0.52170.5927360825150.457203687313031
0.53170.678504544870.464315736447612
0.54170.7662699557990.478038597166932
0.55170.8571138685930.497966199344935
0.56170.9519955016780.523059961303828
0.57171.0516540377620.551683497552469
0.58171.1565188371890.58178358107615
0.59171.2666365576910.61093833670157
0.6171.3816246550750.636380206127104
0.61171.5006600584220.655849185480561
0.62171.6225092024760.667148220397379
0.63171.7456008693690.668167188361878
0.64171.8681370621250.658427838592749
0.65171.9882307310220.637880459135269
0.66172.1040542209850.607339417431048
0.67172.2139801580760.568478757010089
0.68172.3166977599270.523498490161513
0.69172.4112919155760.474781995542043
0.7172.4972787192360.42465868328841
0.71172.574597957870.375658271734428
0.72172.6435689351210.329500243360898
0.73172.7048200115990.287741123096109
0.74172.7592039876190.251220119774228
0.75172.8077110787560.220364952368024
0.76172.8513891584390.195420096577007
0.77172.8912777002350.175827303568802
0.78172.9283580304240.161226895766765
0.79172.963518777280.150777418811622
0.8172.9975326184240.143997566497603
0.81173.0310395838310.139862540955572
0.82173.0645343242760.137713286957937
0.83173.098360827270.136777427506109
0.84173.1327286052840.13607405432993
0.85173.1677790785810.135097240200477
0.86173.2037472918350.133752363363207
0.87173.2412750203730.132577627690664
0.88173.2819207387910.134258636542762
0.89173.3288522878240.144255070157786
0.9173.3875660468710.171198700582458
0.91173.466240150430.223907799514374
0.92173.5750694608970.306282299578151
0.93173.7238816001510.411969776026667
0.94173.9179069220770.520490165242658
0.95174.153076873860.596428918636035
0.96174.4140452784750.6014809799382
0.97174.6777963490320.520844040469381
0.98174.9201714403140.395398838831304
0.99175.1155800793860.319994113676831

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 164.077429604994 & 0.406717995794993 \tabularnewline
0.02 & 164.344024078382 & 0.570777446058007 \tabularnewline
0.03 & 164.680667787005 & 0.726131363322923 \tabularnewline
0.04 & 165.036468330688 & 0.770896921537719 \tabularnewline
0.05 & 165.367266649195 & 0.696223667327651 \tabularnewline
0.06 & 165.64284729897 & 0.552107388733757 \tabularnewline
0.07 & 165.851659079215 & 0.396887882258301 \tabularnewline
0.08 & 165.998357397314 & 0.268187390787678 \tabularnewline
0.09 & 166.096595397705 & 0.178971496704293 \tabularnewline
0.1 & 166.161995122755 & 0.127651170062656 \tabularnewline
0.11 & 166.207986471177 & 0.106190989817603 \tabularnewline
0.12 & 166.244502078044 & 0.106356452928606 \tabularnewline
0.13 & 166.278334449936 & 0.121409581284574 \tabularnewline
0.14 & 166.314030019716 & 0.147327810002781 \tabularnewline
0.15 & 166.354695642409 & 0.181849207759887 \tabularnewline
0.16 & 166.402522935562 & 0.223509291478878 \tabularnewline
0.17 & 166.459063203801 & 0.270297260029381 \tabularnewline
0.18 & 166.525356031107 & 0.32054482777763 \tabularnewline
0.19 & 166.602003721725 & 0.372835546451102 \tabularnewline
0.2 & 166.689244582814 & 0.425891879535694 \tabularnewline
0.21 & 166.787038477939 & 0.478983131157583 \tabularnewline
0.22 & 166.895150892621 & 0.53147575248885 \tabularnewline
0.23 & 167.013211446216 & 0.583663517834773 \tabularnewline
0.24 & 167.140728333466 & 0.634586994410315 \tabularnewline
0.25 & 167.277056239094 & 0.683414850415165 \tabularnewline
0.26 & 167.421333897268 & 0.728037457912986 \tabularnewline
0.27 & 167.572420744925 & 0.766717464230143 \tabularnewline
0.28 & 167.728864863693 & 0.796771946302057 \tabularnewline
0.29 & 167.888925837612 & 0.816717879311113 \tabularnewline
0.3 & 168.050659770417 & 0.825235490903863 \tabularnewline
0.31 & 168.212055513852 & 0.822443666251215 \tabularnewline
0.32 & 168.371197136769 & 0.809130673891281 \tabularnewline
0.33 & 168.526421601163 & 0.787359783120721 \tabularnewline
0.34 & 168.676443138643 & 0.75975646487305 \tabularnewline
0.35 & 168.820424828301 & 0.72891590501237 \tabularnewline
0.36 & 168.957989842226 & 0.697298955305974 \tabularnewline
0.37 & 169.089176320141 & 0.666910794791433 \tabularnewline
0.38 & 169.214348558577 & 0.639705407709782 \tabularnewline
0.39 & 169.334082264602 & 0.61629858030288 \tabularnewline
0.4 & 169.449043219018 & 0.596820695685681 \tabularnewline
0.41 & 169.559877497072 & 0.580531321612807 \tabularnewline
0.42 & 169.667128094339 & 0.566824623725873 \tabularnewline
0.43 & 169.771187930032 & 0.55420593332054 \tabularnewline
0.44 & 169.872293227262 & 0.541550295213137 \tabularnewline
0.45 & 169.97055483415 & 0.528185045279133 \tabularnewline
0.46 & 170.066019046573 & 0.514026821399289 \tabularnewline
0.47 & 170.15874496837 & 0.499231133977514 \tabularnewline
0.48 & 170.24888329932 & 0.484699383842044 \tabularnewline
0.49 & 170.33674209437 & 0.471773636022189 \tabularnewline
0.5 & 170.422828221839 & 0.461965787199309 \tabularnewline
0.51 & 170.507858052893 & 0.456737484221561 \tabularnewline
0.52 & 170.592736082515 & 0.457203687313031 \tabularnewline
0.53 & 170.67850454487 & 0.464315736447612 \tabularnewline
0.54 & 170.766269955799 & 0.478038597166932 \tabularnewline
0.55 & 170.857113868593 & 0.497966199344935 \tabularnewline
0.56 & 170.951995501678 & 0.523059961303828 \tabularnewline
0.57 & 171.051654037762 & 0.551683497552469 \tabularnewline
0.58 & 171.156518837189 & 0.58178358107615 \tabularnewline
0.59 & 171.266636557691 & 0.61093833670157 \tabularnewline
0.6 & 171.381624655075 & 0.636380206127104 \tabularnewline
0.61 & 171.500660058422 & 0.655849185480561 \tabularnewline
0.62 & 171.622509202476 & 0.667148220397379 \tabularnewline
0.63 & 171.745600869369 & 0.668167188361878 \tabularnewline
0.64 & 171.868137062125 & 0.658427838592749 \tabularnewline
0.65 & 171.988230731022 & 0.637880459135269 \tabularnewline
0.66 & 172.104054220985 & 0.607339417431048 \tabularnewline
0.67 & 172.213980158076 & 0.568478757010089 \tabularnewline
0.68 & 172.316697759927 & 0.523498490161513 \tabularnewline
0.69 & 172.411291915576 & 0.474781995542043 \tabularnewline
0.7 & 172.497278719236 & 0.42465868328841 \tabularnewline
0.71 & 172.57459795787 & 0.375658271734428 \tabularnewline
0.72 & 172.643568935121 & 0.329500243360898 \tabularnewline
0.73 & 172.704820011599 & 0.287741123096109 \tabularnewline
0.74 & 172.759203987619 & 0.251220119774228 \tabularnewline
0.75 & 172.807711078756 & 0.220364952368024 \tabularnewline
0.76 & 172.851389158439 & 0.195420096577007 \tabularnewline
0.77 & 172.891277700235 & 0.175827303568802 \tabularnewline
0.78 & 172.928358030424 & 0.161226895766765 \tabularnewline
0.79 & 172.96351877728 & 0.150777418811622 \tabularnewline
0.8 & 172.997532618424 & 0.143997566497603 \tabularnewline
0.81 & 173.031039583831 & 0.139862540955572 \tabularnewline
0.82 & 173.064534324276 & 0.137713286957937 \tabularnewline
0.83 & 173.09836082727 & 0.136777427506109 \tabularnewline
0.84 & 173.132728605284 & 0.13607405432993 \tabularnewline
0.85 & 173.167779078581 & 0.135097240200477 \tabularnewline
0.86 & 173.203747291835 & 0.133752363363207 \tabularnewline
0.87 & 173.241275020373 & 0.132577627690664 \tabularnewline
0.88 & 173.281920738791 & 0.134258636542762 \tabularnewline
0.89 & 173.328852287824 & 0.144255070157786 \tabularnewline
0.9 & 173.387566046871 & 0.171198700582458 \tabularnewline
0.91 & 173.46624015043 & 0.223907799514374 \tabularnewline
0.92 & 173.575069460897 & 0.306282299578151 \tabularnewline
0.93 & 173.723881600151 & 0.411969776026667 \tabularnewline
0.94 & 173.917906922077 & 0.520490165242658 \tabularnewline
0.95 & 174.15307687386 & 0.596428918636035 \tabularnewline
0.96 & 174.414045278475 & 0.6014809799382 \tabularnewline
0.97 & 174.677796349032 & 0.520844040469381 \tabularnewline
0.98 & 174.920171440314 & 0.395398838831304 \tabularnewline
0.99 & 175.115580079386 & 0.319994113676831 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209128&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]164.077429604994[/C][C]0.406717995794993[/C][/ROW]
[ROW][C]0.02[/C][C]164.344024078382[/C][C]0.570777446058007[/C][/ROW]
[ROW][C]0.03[/C][C]164.680667787005[/C][C]0.726131363322923[/C][/ROW]
[ROW][C]0.04[/C][C]165.036468330688[/C][C]0.770896921537719[/C][/ROW]
[ROW][C]0.05[/C][C]165.367266649195[/C][C]0.696223667327651[/C][/ROW]
[ROW][C]0.06[/C][C]165.64284729897[/C][C]0.552107388733757[/C][/ROW]
[ROW][C]0.07[/C][C]165.851659079215[/C][C]0.396887882258301[/C][/ROW]
[ROW][C]0.08[/C][C]165.998357397314[/C][C]0.268187390787678[/C][/ROW]
[ROW][C]0.09[/C][C]166.096595397705[/C][C]0.178971496704293[/C][/ROW]
[ROW][C]0.1[/C][C]166.161995122755[/C][C]0.127651170062656[/C][/ROW]
[ROW][C]0.11[/C][C]166.207986471177[/C][C]0.106190989817603[/C][/ROW]
[ROW][C]0.12[/C][C]166.244502078044[/C][C]0.106356452928606[/C][/ROW]
[ROW][C]0.13[/C][C]166.278334449936[/C][C]0.121409581284574[/C][/ROW]
[ROW][C]0.14[/C][C]166.314030019716[/C][C]0.147327810002781[/C][/ROW]
[ROW][C]0.15[/C][C]166.354695642409[/C][C]0.181849207759887[/C][/ROW]
[ROW][C]0.16[/C][C]166.402522935562[/C][C]0.223509291478878[/C][/ROW]
[ROW][C]0.17[/C][C]166.459063203801[/C][C]0.270297260029381[/C][/ROW]
[ROW][C]0.18[/C][C]166.525356031107[/C][C]0.32054482777763[/C][/ROW]
[ROW][C]0.19[/C][C]166.602003721725[/C][C]0.372835546451102[/C][/ROW]
[ROW][C]0.2[/C][C]166.689244582814[/C][C]0.425891879535694[/C][/ROW]
[ROW][C]0.21[/C][C]166.787038477939[/C][C]0.478983131157583[/C][/ROW]
[ROW][C]0.22[/C][C]166.895150892621[/C][C]0.53147575248885[/C][/ROW]
[ROW][C]0.23[/C][C]167.013211446216[/C][C]0.583663517834773[/C][/ROW]
[ROW][C]0.24[/C][C]167.140728333466[/C][C]0.634586994410315[/C][/ROW]
[ROW][C]0.25[/C][C]167.277056239094[/C][C]0.683414850415165[/C][/ROW]
[ROW][C]0.26[/C][C]167.421333897268[/C][C]0.728037457912986[/C][/ROW]
[ROW][C]0.27[/C][C]167.572420744925[/C][C]0.766717464230143[/C][/ROW]
[ROW][C]0.28[/C][C]167.728864863693[/C][C]0.796771946302057[/C][/ROW]
[ROW][C]0.29[/C][C]167.888925837612[/C][C]0.816717879311113[/C][/ROW]
[ROW][C]0.3[/C][C]168.050659770417[/C][C]0.825235490903863[/C][/ROW]
[ROW][C]0.31[/C][C]168.212055513852[/C][C]0.822443666251215[/C][/ROW]
[ROW][C]0.32[/C][C]168.371197136769[/C][C]0.809130673891281[/C][/ROW]
[ROW][C]0.33[/C][C]168.526421601163[/C][C]0.787359783120721[/C][/ROW]
[ROW][C]0.34[/C][C]168.676443138643[/C][C]0.75975646487305[/C][/ROW]
[ROW][C]0.35[/C][C]168.820424828301[/C][C]0.72891590501237[/C][/ROW]
[ROW][C]0.36[/C][C]168.957989842226[/C][C]0.697298955305974[/C][/ROW]
[ROW][C]0.37[/C][C]169.089176320141[/C][C]0.666910794791433[/C][/ROW]
[ROW][C]0.38[/C][C]169.214348558577[/C][C]0.639705407709782[/C][/ROW]
[ROW][C]0.39[/C][C]169.334082264602[/C][C]0.61629858030288[/C][/ROW]
[ROW][C]0.4[/C][C]169.449043219018[/C][C]0.596820695685681[/C][/ROW]
[ROW][C]0.41[/C][C]169.559877497072[/C][C]0.580531321612807[/C][/ROW]
[ROW][C]0.42[/C][C]169.667128094339[/C][C]0.566824623725873[/C][/ROW]
[ROW][C]0.43[/C][C]169.771187930032[/C][C]0.55420593332054[/C][/ROW]
[ROW][C]0.44[/C][C]169.872293227262[/C][C]0.541550295213137[/C][/ROW]
[ROW][C]0.45[/C][C]169.97055483415[/C][C]0.528185045279133[/C][/ROW]
[ROW][C]0.46[/C][C]170.066019046573[/C][C]0.514026821399289[/C][/ROW]
[ROW][C]0.47[/C][C]170.15874496837[/C][C]0.499231133977514[/C][/ROW]
[ROW][C]0.48[/C][C]170.24888329932[/C][C]0.484699383842044[/C][/ROW]
[ROW][C]0.49[/C][C]170.33674209437[/C][C]0.471773636022189[/C][/ROW]
[ROW][C]0.5[/C][C]170.422828221839[/C][C]0.461965787199309[/C][/ROW]
[ROW][C]0.51[/C][C]170.507858052893[/C][C]0.456737484221561[/C][/ROW]
[ROW][C]0.52[/C][C]170.592736082515[/C][C]0.457203687313031[/C][/ROW]
[ROW][C]0.53[/C][C]170.67850454487[/C][C]0.464315736447612[/C][/ROW]
[ROW][C]0.54[/C][C]170.766269955799[/C][C]0.478038597166932[/C][/ROW]
[ROW][C]0.55[/C][C]170.857113868593[/C][C]0.497966199344935[/C][/ROW]
[ROW][C]0.56[/C][C]170.951995501678[/C][C]0.523059961303828[/C][/ROW]
[ROW][C]0.57[/C][C]171.051654037762[/C][C]0.551683497552469[/C][/ROW]
[ROW][C]0.58[/C][C]171.156518837189[/C][C]0.58178358107615[/C][/ROW]
[ROW][C]0.59[/C][C]171.266636557691[/C][C]0.61093833670157[/C][/ROW]
[ROW][C]0.6[/C][C]171.381624655075[/C][C]0.636380206127104[/C][/ROW]
[ROW][C]0.61[/C][C]171.500660058422[/C][C]0.655849185480561[/C][/ROW]
[ROW][C]0.62[/C][C]171.622509202476[/C][C]0.667148220397379[/C][/ROW]
[ROW][C]0.63[/C][C]171.745600869369[/C][C]0.668167188361878[/C][/ROW]
[ROW][C]0.64[/C][C]171.868137062125[/C][C]0.658427838592749[/C][/ROW]
[ROW][C]0.65[/C][C]171.988230731022[/C][C]0.637880459135269[/C][/ROW]
[ROW][C]0.66[/C][C]172.104054220985[/C][C]0.607339417431048[/C][/ROW]
[ROW][C]0.67[/C][C]172.213980158076[/C][C]0.568478757010089[/C][/ROW]
[ROW][C]0.68[/C][C]172.316697759927[/C][C]0.523498490161513[/C][/ROW]
[ROW][C]0.69[/C][C]172.411291915576[/C][C]0.474781995542043[/C][/ROW]
[ROW][C]0.7[/C][C]172.497278719236[/C][C]0.42465868328841[/C][/ROW]
[ROW][C]0.71[/C][C]172.57459795787[/C][C]0.375658271734428[/C][/ROW]
[ROW][C]0.72[/C][C]172.643568935121[/C][C]0.329500243360898[/C][/ROW]
[ROW][C]0.73[/C][C]172.704820011599[/C][C]0.287741123096109[/C][/ROW]
[ROW][C]0.74[/C][C]172.759203987619[/C][C]0.251220119774228[/C][/ROW]
[ROW][C]0.75[/C][C]172.807711078756[/C][C]0.220364952368024[/C][/ROW]
[ROW][C]0.76[/C][C]172.851389158439[/C][C]0.195420096577007[/C][/ROW]
[ROW][C]0.77[/C][C]172.891277700235[/C][C]0.175827303568802[/C][/ROW]
[ROW][C]0.78[/C][C]172.928358030424[/C][C]0.161226895766765[/C][/ROW]
[ROW][C]0.79[/C][C]172.96351877728[/C][C]0.150777418811622[/C][/ROW]
[ROW][C]0.8[/C][C]172.997532618424[/C][C]0.143997566497603[/C][/ROW]
[ROW][C]0.81[/C][C]173.031039583831[/C][C]0.139862540955572[/C][/ROW]
[ROW][C]0.82[/C][C]173.064534324276[/C][C]0.137713286957937[/C][/ROW]
[ROW][C]0.83[/C][C]173.09836082727[/C][C]0.136777427506109[/C][/ROW]
[ROW][C]0.84[/C][C]173.132728605284[/C][C]0.13607405432993[/C][/ROW]
[ROW][C]0.85[/C][C]173.167779078581[/C][C]0.135097240200477[/C][/ROW]
[ROW][C]0.86[/C][C]173.203747291835[/C][C]0.133752363363207[/C][/ROW]
[ROW][C]0.87[/C][C]173.241275020373[/C][C]0.132577627690664[/C][/ROW]
[ROW][C]0.88[/C][C]173.281920738791[/C][C]0.134258636542762[/C][/ROW]
[ROW][C]0.89[/C][C]173.328852287824[/C][C]0.144255070157786[/C][/ROW]
[ROW][C]0.9[/C][C]173.387566046871[/C][C]0.171198700582458[/C][/ROW]
[ROW][C]0.91[/C][C]173.46624015043[/C][C]0.223907799514374[/C][/ROW]
[ROW][C]0.92[/C][C]173.575069460897[/C][C]0.306282299578151[/C][/ROW]
[ROW][C]0.93[/C][C]173.723881600151[/C][C]0.411969776026667[/C][/ROW]
[ROW][C]0.94[/C][C]173.917906922077[/C][C]0.520490165242658[/C][/ROW]
[ROW][C]0.95[/C][C]174.15307687386[/C][C]0.596428918636035[/C][/ROW]
[ROW][C]0.96[/C][C]174.414045278475[/C][C]0.6014809799382[/C][/ROW]
[ROW][C]0.97[/C][C]174.677796349032[/C][C]0.520844040469381[/C][/ROW]
[ROW][C]0.98[/C][C]174.920171440314[/C][C]0.395398838831304[/C][/ROW]
[ROW][C]0.99[/C][C]175.115580079386[/C][C]0.319994113676831[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209128&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209128&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
0.01164.0774296049940.406717995794993
0.02164.3440240783820.570777446058007
0.03164.6806677870050.726131363322923
0.04165.0364683306880.770896921537719
0.05165.3672666491950.696223667327651
0.06165.642847298970.552107388733757
0.07165.8516590792150.396887882258301
0.08165.9983573973140.268187390787678
0.09166.0965953977050.178971496704293
0.1166.1619951227550.127651170062656
0.11166.2079864711770.106190989817603
0.12166.2445020780440.106356452928606
0.13166.2783344499360.121409581284574
0.14166.3140300197160.147327810002781
0.15166.3546956424090.181849207759887
0.16166.4025229355620.223509291478878
0.17166.4590632038010.270297260029381
0.18166.5253560311070.32054482777763
0.19166.6020037217250.372835546451102
0.2166.6892445828140.425891879535694
0.21166.7870384779390.478983131157583
0.22166.8951508926210.53147575248885
0.23167.0132114462160.583663517834773
0.24167.1407283334660.634586994410315
0.25167.2770562390940.683414850415165
0.26167.4213338972680.728037457912986
0.27167.5724207449250.766717464230143
0.28167.7288648636930.796771946302057
0.29167.8889258376120.816717879311113
0.3168.0506597704170.825235490903863
0.31168.2120555138520.822443666251215
0.32168.3711971367690.809130673891281
0.33168.5264216011630.787359783120721
0.34168.6764431386430.75975646487305
0.35168.8204248283010.72891590501237
0.36168.9579898422260.697298955305974
0.37169.0891763201410.666910794791433
0.38169.2143485585770.639705407709782
0.39169.3340822646020.61629858030288
0.4169.4490432190180.596820695685681
0.41169.5598774970720.580531321612807
0.42169.6671280943390.566824623725873
0.43169.7711879300320.55420593332054
0.44169.8722932272620.541550295213137
0.45169.970554834150.528185045279133
0.46170.0660190465730.514026821399289
0.47170.158744968370.499231133977514
0.48170.248883299320.484699383842044
0.49170.336742094370.471773636022189
0.5170.4228282218390.461965787199309
0.51170.5078580528930.456737484221561
0.52170.5927360825150.457203687313031
0.53170.678504544870.464315736447612
0.54170.7662699557990.478038597166932
0.55170.8571138685930.497966199344935
0.56170.9519955016780.523059961303828
0.57171.0516540377620.551683497552469
0.58171.1565188371890.58178358107615
0.59171.2666365576910.61093833670157
0.6171.3816246550750.636380206127104
0.61171.5006600584220.655849185480561
0.62171.6225092024760.667148220397379
0.63171.7456008693690.668167188361878
0.64171.8681370621250.658427838592749
0.65171.9882307310220.637880459135269
0.66172.1040542209850.607339417431048
0.67172.2139801580760.568478757010089
0.68172.3166977599270.523498490161513
0.69172.4112919155760.474781995542043
0.7172.4972787192360.42465868328841
0.71172.574597957870.375658271734428
0.72172.6435689351210.329500243360898
0.73172.7048200115990.287741123096109
0.74172.7592039876190.251220119774228
0.75172.8077110787560.220364952368024
0.76172.8513891584390.195420096577007
0.77172.8912777002350.175827303568802
0.78172.9283580304240.161226895766765
0.79172.963518777280.150777418811622
0.8172.9975326184240.143997566497603
0.81173.0310395838310.139862540955572
0.82173.0645343242760.137713286957937
0.83173.098360827270.136777427506109
0.84173.1327286052840.13607405432993
0.85173.1677790785810.135097240200477
0.86173.2037472918350.133752363363207
0.87173.2412750203730.132577627690664
0.88173.2819207387910.134258636542762
0.89173.3288522878240.144255070157786
0.9173.3875660468710.171198700582458
0.91173.466240150430.223907799514374
0.92173.5750694608970.306282299578151
0.93173.7238816001510.411969776026667
0.94173.9179069220770.520490165242658
0.95174.153076873860.596428918636035
0.96174.4140452784750.6014809799382
0.97174.6777963490320.520844040469381
0.98174.9201714403140.395398838831304
0.99175.1155800793860.319994113676831


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):
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')