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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, 03 Mar 2008 05:08:10 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/03/t1204546168fdcw0voz23bh2fm.htm/, Retrieved Sat, 18 May 2024 23:39:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9870, Retrieved Sat, 18 May 2024 23:39:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172

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] [Harrel-davis perc...] [2008-03-03 12:08:10] [1a88f818bfac0ba502c6e25c4c816249] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.8
9.7
9.5
9.3
9.1
9
9.5
10
10.2
10.1
10
9.9
10
9.9
9.7
9.5
9.2
9
9.3
9.8
9.8
9.6
9.4
9.3
9.2
9.2
9
8.8
8.7
8.7
9.1
9.7
9.8
9.6
9.4
9.4
9.5
9.4
9.3
9.2
9
8.9
9.2
9.8
9.9
9.6
9.2
9.1
9.1
9.1
8.9
8.7
8.5
8.4
8.4
8.7
8.5
8.1
7.8
7.7
7.4
7.2
7
6.6
6.4
6.4
6.8
7.3
7
7
6.7
6.7
6.3
6.2
6
6.3
6.2
6.1
6.2
6.6
6.6
7.8
7.4
7.4
7.5
7.4
7.4
7
6.9
6.9
7.6
7.7
7.6
8.2
8
8.1
8.3
8.2
8.1
7.7
7.6
7.7
8.2
8.4
8.4
8.6
8.4
8.5
8.7
8.7
8.6
7.4
7.3
7.4
9
9.2
9.2
8.5
8.3
8.3
8.6
8.6
8.5
8.1
8.1
8
8.6
8.7
8.7
8.6
8.4
8.4
8.7
8.7
8.5
8.3
8.3
8.3
8.1
8.2
8.1
8.1
7.9
7.7
8.1
8
7.7
7.8
7.6
7.4
7.3
7.4
7.1
7.3
7.1
7.1

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9870&T=0

[TABLE]
[ROW][C]Summary of compuational 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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9870&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9870&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.089996842365860.0831134435486028
0.026.182477814311610.0677156129334465
0.036.25275315031630.0897176024775703
0.046.327789568517610.124393763906868
0.056.414065820186520.149920258146241
0.066.505579666050680.162379699318563
0.076.596132041258370.166605133708741
0.086.68278547565550.168275473629634
0.096.764708493026990.167592954181224
0.16.841292072611980.162571161136449
0.116.911860720219270.154448499290279
0.126.976521215652670.147384651516682
0.137.036481538668650.144298051884868
0.147.093298775424020.144200206355578
0.157.147827827896810.143432743407308
0.167.199770689789410.138743119894983
0.177.24805040038710.129241737555931
0.187.291624517072770.116656401462083
0.197.330204850111480.104349125202159
0.27.364549206002240.0959337422981831
0.217.396273438307390.0938295391715426
0.227.427337133431820.098208069755286
0.237.45944952557680.106972276842
0.247.493636774361070.117065672665902
0.257.530122004532220.125897076568242
0.267.568524682013340.132249202646397
0.277.60824556432050.136441246532386
0.287.648834477988570.139848919278615
0.297.690171524920170.143932631180253
0.37.732402782054180.149279014299232
0.317.775696549201460.155214359148042
0.327.819964572485030.160044001898543
0.337.864694911654510.161851709851899
0.347.908978898048460.159319218596033
0.357.951720984004970.152267099501195
0.367.991941172271620.141756357240831
0.378.02904687385060.129819543583643
0.388.062972750276930.118641278158274
0.398.094147799532360.110050052541124
0.48.123318743012040.104897044707404
0.418.151307891222540.102895921170189
0.428.178795214892460.102969712509480
0.438.206189825787960.103805992057587
0.448.233611894699490.104309491571798
0.458.260963749407730.103902756344830
0.468.28804461223250.102489566294112
0.478.31466181096650.100380818732917
0.488.340706310032490.0980404799570125
0.498.366181132046070.0959354056799332
0.58.391188323508680.0944138933498654
0.518.415889311690380.0935980453520935
0.528.440455303605840.0934225294080975
0.538.465021581329860.093639882722646
0.548.489655036623580.0939340434154706
0.558.514340175896660.093962769289337
0.568.538986338266320.0934422369437126
0.578.56345803431810.0922743648758955
0.588.587629470215920.0905596321056842
0.598.611460443134240.0887714988107579
0.68.635081495814180.0876514628032097
0.618.658862865834870.0883135733797595
0.628.683431328913590.0918149035762427
0.638.709601966202180.0988018501131071
0.648.73821541913930.108965673723635
0.658.769911492901970.120974996030367
0.668.804909448948070.132704832587989
0.678.842879938230140.141919554081622
0.688.882967914362090.146852304511364
0.698.923966725798970.146734592377484
0.78.964579989882090.141853038912162
0.719.003675249836120.133390365574251
0.729.04045057631260.122832783882278
0.739.074490429528180.111610507556945
0.749.105744349481120.100853627370999
0.759.134484952349460.0914759169241427
0.769.161278483740290.0843359095183832
0.779.18695379576380.0802544003663529
0.789.212525003537840.0797649142194243
0.799.23903854527150.082632897362135
0.89.26736990576350.0877899666481892
0.819.298047920744030.0936876130116233
0.829.331191804980830.0989170934590113
0.839.366597249353840.102681788256196
0.849.403933192344670.104919681859402
0.859.442954237816540.106206485473739
0.869.483620601865240.107258454635388
0.879.526047571883940.108458624158101
0.889.570269167851420.109343332393215
0.899.61588982094690.108524571656059
0.99.66181565736430.104200546098011
0.919.7063811021050.095333496154298
0.929.748151945258140.083183307026738
0.939.787180950659620.0721081960769794
0.949.825646784638450.0670729389856137
0.959.866742641877990.0678804345636494
0.969.912175283728280.0684300886907079
0.979.961525506246550.062720822275434
0.9810.02059107316100.060777510119214
0.9910.11026757668730.0825361753943123

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.08999684236586 & 0.0831134435486028 \tabularnewline
0.02 & 6.18247781431161 & 0.0677156129334465 \tabularnewline
0.03 & 6.2527531503163 & 0.0897176024775703 \tabularnewline
0.04 & 6.32778956851761 & 0.124393763906868 \tabularnewline
0.05 & 6.41406582018652 & 0.149920258146241 \tabularnewline
0.06 & 6.50557966605068 & 0.162379699318563 \tabularnewline
0.07 & 6.59613204125837 & 0.166605133708741 \tabularnewline
0.08 & 6.6827854756555 & 0.168275473629634 \tabularnewline
0.09 & 6.76470849302699 & 0.167592954181224 \tabularnewline
0.1 & 6.84129207261198 & 0.162571161136449 \tabularnewline
0.11 & 6.91186072021927 & 0.154448499290279 \tabularnewline
0.12 & 6.97652121565267 & 0.147384651516682 \tabularnewline
0.13 & 7.03648153866865 & 0.144298051884868 \tabularnewline
0.14 & 7.09329877542402 & 0.144200206355578 \tabularnewline
0.15 & 7.14782782789681 & 0.143432743407308 \tabularnewline
0.16 & 7.19977068978941 & 0.138743119894983 \tabularnewline
0.17 & 7.2480504003871 & 0.129241737555931 \tabularnewline
0.18 & 7.29162451707277 & 0.116656401462083 \tabularnewline
0.19 & 7.33020485011148 & 0.104349125202159 \tabularnewline
0.2 & 7.36454920600224 & 0.0959337422981831 \tabularnewline
0.21 & 7.39627343830739 & 0.0938295391715426 \tabularnewline
0.22 & 7.42733713343182 & 0.098208069755286 \tabularnewline
0.23 & 7.4594495255768 & 0.106972276842 \tabularnewline
0.24 & 7.49363677436107 & 0.117065672665902 \tabularnewline
0.25 & 7.53012200453222 & 0.125897076568242 \tabularnewline
0.26 & 7.56852468201334 & 0.132249202646397 \tabularnewline
0.27 & 7.6082455643205 & 0.136441246532386 \tabularnewline
0.28 & 7.64883447798857 & 0.139848919278615 \tabularnewline
0.29 & 7.69017152492017 & 0.143932631180253 \tabularnewline
0.3 & 7.73240278205418 & 0.149279014299232 \tabularnewline
0.31 & 7.77569654920146 & 0.155214359148042 \tabularnewline
0.32 & 7.81996457248503 & 0.160044001898543 \tabularnewline
0.33 & 7.86469491165451 & 0.161851709851899 \tabularnewline
0.34 & 7.90897889804846 & 0.159319218596033 \tabularnewline
0.35 & 7.95172098400497 & 0.152267099501195 \tabularnewline
0.36 & 7.99194117227162 & 0.141756357240831 \tabularnewline
0.37 & 8.0290468738506 & 0.129819543583643 \tabularnewline
0.38 & 8.06297275027693 & 0.118641278158274 \tabularnewline
0.39 & 8.09414779953236 & 0.110050052541124 \tabularnewline
0.4 & 8.12331874301204 & 0.104897044707404 \tabularnewline
0.41 & 8.15130789122254 & 0.102895921170189 \tabularnewline
0.42 & 8.17879521489246 & 0.102969712509480 \tabularnewline
0.43 & 8.20618982578796 & 0.103805992057587 \tabularnewline
0.44 & 8.23361189469949 & 0.104309491571798 \tabularnewline
0.45 & 8.26096374940773 & 0.103902756344830 \tabularnewline
0.46 & 8.2880446122325 & 0.102489566294112 \tabularnewline
0.47 & 8.3146618109665 & 0.100380818732917 \tabularnewline
0.48 & 8.34070631003249 & 0.0980404799570125 \tabularnewline
0.49 & 8.36618113204607 & 0.0959354056799332 \tabularnewline
0.5 & 8.39118832350868 & 0.0944138933498654 \tabularnewline
0.51 & 8.41588931169038 & 0.0935980453520935 \tabularnewline
0.52 & 8.44045530360584 & 0.0934225294080975 \tabularnewline
0.53 & 8.46502158132986 & 0.093639882722646 \tabularnewline
0.54 & 8.48965503662358 & 0.0939340434154706 \tabularnewline
0.55 & 8.51434017589666 & 0.093962769289337 \tabularnewline
0.56 & 8.53898633826632 & 0.0934422369437126 \tabularnewline
0.57 & 8.5634580343181 & 0.0922743648758955 \tabularnewline
0.58 & 8.58762947021592 & 0.0905596321056842 \tabularnewline
0.59 & 8.61146044313424 & 0.0887714988107579 \tabularnewline
0.6 & 8.63508149581418 & 0.0876514628032097 \tabularnewline
0.61 & 8.65886286583487 & 0.0883135733797595 \tabularnewline
0.62 & 8.68343132891359 & 0.0918149035762427 \tabularnewline
0.63 & 8.70960196620218 & 0.0988018501131071 \tabularnewline
0.64 & 8.7382154191393 & 0.108965673723635 \tabularnewline
0.65 & 8.76991149290197 & 0.120974996030367 \tabularnewline
0.66 & 8.80490944894807 & 0.132704832587989 \tabularnewline
0.67 & 8.84287993823014 & 0.141919554081622 \tabularnewline
0.68 & 8.88296791436209 & 0.146852304511364 \tabularnewline
0.69 & 8.92396672579897 & 0.146734592377484 \tabularnewline
0.7 & 8.96457998988209 & 0.141853038912162 \tabularnewline
0.71 & 9.00367524983612 & 0.133390365574251 \tabularnewline
0.72 & 9.0404505763126 & 0.122832783882278 \tabularnewline
0.73 & 9.07449042952818 & 0.111610507556945 \tabularnewline
0.74 & 9.10574434948112 & 0.100853627370999 \tabularnewline
0.75 & 9.13448495234946 & 0.0914759169241427 \tabularnewline
0.76 & 9.16127848374029 & 0.0843359095183832 \tabularnewline
0.77 & 9.1869537957638 & 0.0802544003663529 \tabularnewline
0.78 & 9.21252500353784 & 0.0797649142194243 \tabularnewline
0.79 & 9.2390385452715 & 0.082632897362135 \tabularnewline
0.8 & 9.2673699057635 & 0.0877899666481892 \tabularnewline
0.81 & 9.29804792074403 & 0.0936876130116233 \tabularnewline
0.82 & 9.33119180498083 & 0.0989170934590113 \tabularnewline
0.83 & 9.36659724935384 & 0.102681788256196 \tabularnewline
0.84 & 9.40393319234467 & 0.104919681859402 \tabularnewline
0.85 & 9.44295423781654 & 0.106206485473739 \tabularnewline
0.86 & 9.48362060186524 & 0.107258454635388 \tabularnewline
0.87 & 9.52604757188394 & 0.108458624158101 \tabularnewline
0.88 & 9.57026916785142 & 0.109343332393215 \tabularnewline
0.89 & 9.6158898209469 & 0.108524571656059 \tabularnewline
0.9 & 9.6618156573643 & 0.104200546098011 \tabularnewline
0.91 & 9.706381102105 & 0.095333496154298 \tabularnewline
0.92 & 9.74815194525814 & 0.083183307026738 \tabularnewline
0.93 & 9.78718095065962 & 0.0721081960769794 \tabularnewline
0.94 & 9.82564678463845 & 0.0670729389856137 \tabularnewline
0.95 & 9.86674264187799 & 0.0678804345636494 \tabularnewline
0.96 & 9.91217528372828 & 0.0684300886907079 \tabularnewline
0.97 & 9.96152550624655 & 0.062720822275434 \tabularnewline
0.98 & 10.0205910731610 & 0.060777510119214 \tabularnewline
0.99 & 10.1102675766873 & 0.0825361753943123 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9870&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]6.08999684236586[/C][C]0.0831134435486028[/C][/ROW]
[ROW][C]0.02[/C][C]6.18247781431161[/C][C]0.0677156129334465[/C][/ROW]
[ROW][C]0.03[/C][C]6.2527531503163[/C][C]0.0897176024775703[/C][/ROW]
[ROW][C]0.04[/C][C]6.32778956851761[/C][C]0.124393763906868[/C][/ROW]
[ROW][C]0.05[/C][C]6.41406582018652[/C][C]0.149920258146241[/C][/ROW]
[ROW][C]0.06[/C][C]6.50557966605068[/C][C]0.162379699318563[/C][/ROW]
[ROW][C]0.07[/C][C]6.59613204125837[/C][C]0.166605133708741[/C][/ROW]
[ROW][C]0.08[/C][C]6.6827854756555[/C][C]0.168275473629634[/C][/ROW]
[ROW][C]0.09[/C][C]6.76470849302699[/C][C]0.167592954181224[/C][/ROW]
[ROW][C]0.1[/C][C]6.84129207261198[/C][C]0.162571161136449[/C][/ROW]
[ROW][C]0.11[/C][C]6.91186072021927[/C][C]0.154448499290279[/C][/ROW]
[ROW][C]0.12[/C][C]6.97652121565267[/C][C]0.147384651516682[/C][/ROW]
[ROW][C]0.13[/C][C]7.03648153866865[/C][C]0.144298051884868[/C][/ROW]
[ROW][C]0.14[/C][C]7.09329877542402[/C][C]0.144200206355578[/C][/ROW]
[ROW][C]0.15[/C][C]7.14782782789681[/C][C]0.143432743407308[/C][/ROW]
[ROW][C]0.16[/C][C]7.19977068978941[/C][C]0.138743119894983[/C][/ROW]
[ROW][C]0.17[/C][C]7.2480504003871[/C][C]0.129241737555931[/C][/ROW]
[ROW][C]0.18[/C][C]7.29162451707277[/C][C]0.116656401462083[/C][/ROW]
[ROW][C]0.19[/C][C]7.33020485011148[/C][C]0.104349125202159[/C][/ROW]
[ROW][C]0.2[/C][C]7.36454920600224[/C][C]0.0959337422981831[/C][/ROW]
[ROW][C]0.21[/C][C]7.39627343830739[/C][C]0.0938295391715426[/C][/ROW]
[ROW][C]0.22[/C][C]7.42733713343182[/C][C]0.098208069755286[/C][/ROW]
[ROW][C]0.23[/C][C]7.4594495255768[/C][C]0.106972276842[/C][/ROW]
[ROW][C]0.24[/C][C]7.49363677436107[/C][C]0.117065672665902[/C][/ROW]
[ROW][C]0.25[/C][C]7.53012200453222[/C][C]0.125897076568242[/C][/ROW]
[ROW][C]0.26[/C][C]7.56852468201334[/C][C]0.132249202646397[/C][/ROW]
[ROW][C]0.27[/C][C]7.6082455643205[/C][C]0.136441246532386[/C][/ROW]
[ROW][C]0.28[/C][C]7.64883447798857[/C][C]0.139848919278615[/C][/ROW]
[ROW][C]0.29[/C][C]7.69017152492017[/C][C]0.143932631180253[/C][/ROW]
[ROW][C]0.3[/C][C]7.73240278205418[/C][C]0.149279014299232[/C][/ROW]
[ROW][C]0.31[/C][C]7.77569654920146[/C][C]0.155214359148042[/C][/ROW]
[ROW][C]0.32[/C][C]7.81996457248503[/C][C]0.160044001898543[/C][/ROW]
[ROW][C]0.33[/C][C]7.86469491165451[/C][C]0.161851709851899[/C][/ROW]
[ROW][C]0.34[/C][C]7.90897889804846[/C][C]0.159319218596033[/C][/ROW]
[ROW][C]0.35[/C][C]7.95172098400497[/C][C]0.152267099501195[/C][/ROW]
[ROW][C]0.36[/C][C]7.99194117227162[/C][C]0.141756357240831[/C][/ROW]
[ROW][C]0.37[/C][C]8.0290468738506[/C][C]0.129819543583643[/C][/ROW]
[ROW][C]0.38[/C][C]8.06297275027693[/C][C]0.118641278158274[/C][/ROW]
[ROW][C]0.39[/C][C]8.09414779953236[/C][C]0.110050052541124[/C][/ROW]
[ROW][C]0.4[/C][C]8.12331874301204[/C][C]0.104897044707404[/C][/ROW]
[ROW][C]0.41[/C][C]8.15130789122254[/C][C]0.102895921170189[/C][/ROW]
[ROW][C]0.42[/C][C]8.17879521489246[/C][C]0.102969712509480[/C][/ROW]
[ROW][C]0.43[/C][C]8.20618982578796[/C][C]0.103805992057587[/C][/ROW]
[ROW][C]0.44[/C][C]8.23361189469949[/C][C]0.104309491571798[/C][/ROW]
[ROW][C]0.45[/C][C]8.26096374940773[/C][C]0.103902756344830[/C][/ROW]
[ROW][C]0.46[/C][C]8.2880446122325[/C][C]0.102489566294112[/C][/ROW]
[ROW][C]0.47[/C][C]8.3146618109665[/C][C]0.100380818732917[/C][/ROW]
[ROW][C]0.48[/C][C]8.34070631003249[/C][C]0.0980404799570125[/C][/ROW]
[ROW][C]0.49[/C][C]8.36618113204607[/C][C]0.0959354056799332[/C][/ROW]
[ROW][C]0.5[/C][C]8.39118832350868[/C][C]0.0944138933498654[/C][/ROW]
[ROW][C]0.51[/C][C]8.41588931169038[/C][C]0.0935980453520935[/C][/ROW]
[ROW][C]0.52[/C][C]8.44045530360584[/C][C]0.0934225294080975[/C][/ROW]
[ROW][C]0.53[/C][C]8.46502158132986[/C][C]0.093639882722646[/C][/ROW]
[ROW][C]0.54[/C][C]8.48965503662358[/C][C]0.0939340434154706[/C][/ROW]
[ROW][C]0.55[/C][C]8.51434017589666[/C][C]0.093962769289337[/C][/ROW]
[ROW][C]0.56[/C][C]8.53898633826632[/C][C]0.0934422369437126[/C][/ROW]
[ROW][C]0.57[/C][C]8.5634580343181[/C][C]0.0922743648758955[/C][/ROW]
[ROW][C]0.58[/C][C]8.58762947021592[/C][C]0.0905596321056842[/C][/ROW]
[ROW][C]0.59[/C][C]8.61146044313424[/C][C]0.0887714988107579[/C][/ROW]
[ROW][C]0.6[/C][C]8.63508149581418[/C][C]0.0876514628032097[/C][/ROW]
[ROW][C]0.61[/C][C]8.65886286583487[/C][C]0.0883135733797595[/C][/ROW]
[ROW][C]0.62[/C][C]8.68343132891359[/C][C]0.0918149035762427[/C][/ROW]
[ROW][C]0.63[/C][C]8.70960196620218[/C][C]0.0988018501131071[/C][/ROW]
[ROW][C]0.64[/C][C]8.7382154191393[/C][C]0.108965673723635[/C][/ROW]
[ROW][C]0.65[/C][C]8.76991149290197[/C][C]0.120974996030367[/C][/ROW]
[ROW][C]0.66[/C][C]8.80490944894807[/C][C]0.132704832587989[/C][/ROW]
[ROW][C]0.67[/C][C]8.84287993823014[/C][C]0.141919554081622[/C][/ROW]
[ROW][C]0.68[/C][C]8.88296791436209[/C][C]0.146852304511364[/C][/ROW]
[ROW][C]0.69[/C][C]8.92396672579897[/C][C]0.146734592377484[/C][/ROW]
[ROW][C]0.7[/C][C]8.96457998988209[/C][C]0.141853038912162[/C][/ROW]
[ROW][C]0.71[/C][C]9.00367524983612[/C][C]0.133390365574251[/C][/ROW]
[ROW][C]0.72[/C][C]9.0404505763126[/C][C]0.122832783882278[/C][/ROW]
[ROW][C]0.73[/C][C]9.07449042952818[/C][C]0.111610507556945[/C][/ROW]
[ROW][C]0.74[/C][C]9.10574434948112[/C][C]0.100853627370999[/C][/ROW]
[ROW][C]0.75[/C][C]9.13448495234946[/C][C]0.0914759169241427[/C][/ROW]
[ROW][C]0.76[/C][C]9.16127848374029[/C][C]0.0843359095183832[/C][/ROW]
[ROW][C]0.77[/C][C]9.1869537957638[/C][C]0.0802544003663529[/C][/ROW]
[ROW][C]0.78[/C][C]9.21252500353784[/C][C]0.0797649142194243[/C][/ROW]
[ROW][C]0.79[/C][C]9.2390385452715[/C][C]0.082632897362135[/C][/ROW]
[ROW][C]0.8[/C][C]9.2673699057635[/C][C]0.0877899666481892[/C][/ROW]
[ROW][C]0.81[/C][C]9.29804792074403[/C][C]0.0936876130116233[/C][/ROW]
[ROW][C]0.82[/C][C]9.33119180498083[/C][C]0.0989170934590113[/C][/ROW]
[ROW][C]0.83[/C][C]9.36659724935384[/C][C]0.102681788256196[/C][/ROW]
[ROW][C]0.84[/C][C]9.40393319234467[/C][C]0.104919681859402[/C][/ROW]
[ROW][C]0.85[/C][C]9.44295423781654[/C][C]0.106206485473739[/C][/ROW]
[ROW][C]0.86[/C][C]9.48362060186524[/C][C]0.107258454635388[/C][/ROW]
[ROW][C]0.87[/C][C]9.52604757188394[/C][C]0.108458624158101[/C][/ROW]
[ROW][C]0.88[/C][C]9.57026916785142[/C][C]0.109343332393215[/C][/ROW]
[ROW][C]0.89[/C][C]9.6158898209469[/C][C]0.108524571656059[/C][/ROW]
[ROW][C]0.9[/C][C]9.6618156573643[/C][C]0.104200546098011[/C][/ROW]
[ROW][C]0.91[/C][C]9.706381102105[/C][C]0.095333496154298[/C][/ROW]
[ROW][C]0.92[/C][C]9.74815194525814[/C][C]0.083183307026738[/C][/ROW]
[ROW][C]0.93[/C][C]9.78718095065962[/C][C]0.0721081960769794[/C][/ROW]
[ROW][C]0.94[/C][C]9.82564678463845[/C][C]0.0670729389856137[/C][/ROW]
[ROW][C]0.95[/C][C]9.86674264187799[/C][C]0.0678804345636494[/C][/ROW]
[ROW][C]0.96[/C][C]9.91217528372828[/C][C]0.0684300886907079[/C][/ROW]
[ROW][C]0.97[/C][C]9.96152550624655[/C][C]0.062720822275434[/C][/ROW]
[ROW][C]0.98[/C][C]10.0205910731610[/C][C]0.060777510119214[/C][/ROW]
[ROW][C]0.99[/C][C]10.1102675766873[/C][C]0.0825361753943123[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9870&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9870&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
0.016.089996842365860.0831134435486028
0.026.182477814311610.0677156129334465
0.036.25275315031630.0897176024775703
0.046.327789568517610.124393763906868
0.056.414065820186520.149920258146241
0.066.505579666050680.162379699318563
0.076.596132041258370.166605133708741
0.086.68278547565550.168275473629634
0.096.764708493026990.167592954181224
0.16.841292072611980.162571161136449
0.116.911860720219270.154448499290279
0.126.976521215652670.147384651516682
0.137.036481538668650.144298051884868
0.147.093298775424020.144200206355578
0.157.147827827896810.143432743407308
0.167.199770689789410.138743119894983
0.177.24805040038710.129241737555931
0.187.291624517072770.116656401462083
0.197.330204850111480.104349125202159
0.27.364549206002240.0959337422981831
0.217.396273438307390.0938295391715426
0.227.427337133431820.098208069755286
0.237.45944952557680.106972276842
0.247.493636774361070.117065672665902
0.257.530122004532220.125897076568242
0.267.568524682013340.132249202646397
0.277.60824556432050.136441246532386
0.287.648834477988570.139848919278615
0.297.690171524920170.143932631180253
0.37.732402782054180.149279014299232
0.317.775696549201460.155214359148042
0.327.819964572485030.160044001898543
0.337.864694911654510.161851709851899
0.347.908978898048460.159319218596033
0.357.951720984004970.152267099501195
0.367.991941172271620.141756357240831
0.378.02904687385060.129819543583643
0.388.062972750276930.118641278158274
0.398.094147799532360.110050052541124
0.48.123318743012040.104897044707404
0.418.151307891222540.102895921170189
0.428.178795214892460.102969712509480
0.438.206189825787960.103805992057587
0.448.233611894699490.104309491571798
0.458.260963749407730.103902756344830
0.468.28804461223250.102489566294112
0.478.31466181096650.100380818732917
0.488.340706310032490.0980404799570125
0.498.366181132046070.0959354056799332
0.58.391188323508680.0944138933498654
0.518.415889311690380.0935980453520935
0.528.440455303605840.0934225294080975
0.538.465021581329860.093639882722646
0.548.489655036623580.0939340434154706
0.558.514340175896660.093962769289337
0.568.538986338266320.0934422369437126
0.578.56345803431810.0922743648758955
0.588.587629470215920.0905596321056842
0.598.611460443134240.0887714988107579
0.68.635081495814180.0876514628032097
0.618.658862865834870.0883135733797595
0.628.683431328913590.0918149035762427
0.638.709601966202180.0988018501131071
0.648.73821541913930.108965673723635
0.658.769911492901970.120974996030367
0.668.804909448948070.132704832587989
0.678.842879938230140.141919554081622
0.688.882967914362090.146852304511364
0.698.923966725798970.146734592377484
0.78.964579989882090.141853038912162
0.719.003675249836120.133390365574251
0.729.04045057631260.122832783882278
0.739.074490429528180.111610507556945
0.749.105744349481120.100853627370999
0.759.134484952349460.0914759169241427
0.769.161278483740290.0843359095183832
0.779.18695379576380.0802544003663529
0.789.212525003537840.0797649142194243
0.799.23903854527150.082632897362135
0.89.26736990576350.0877899666481892
0.819.298047920744030.0936876130116233
0.829.331191804980830.0989170934590113
0.839.366597249353840.102681788256196
0.849.403933192344670.104919681859402
0.859.442954237816540.106206485473739
0.869.483620601865240.107258454635388
0.879.526047571883940.108458624158101
0.889.570269167851420.109343332393215
0.899.61588982094690.108524571656059
0.99.66181565736430.104200546098011
0.919.7063811021050.095333496154298
0.929.748151945258140.083183307026738
0.939.787180950659620.0721081960769794
0.949.825646784638450.0670729389856137
0.959.866742641877990.0678804345636494
0.969.912175283728280.0684300886907079
0.979.961525506246550.062720822275434
0.9810.02059107316100.060777510119214
0.9910.11026757668730.0825361753943123


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')