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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 computationTue, 01 Oct 2013 11:49:51 -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/Oct/01/t13806426026n09bipqps6sugt.htm/, Retrieved Sat, 27 Apr 2024 07:49:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212573, Retrieved Sat, 27 Apr 2024 07:49:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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] [] [2013-10-01 15:49:51] [629d05b8910d8b56ad89862016f2bc6c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
120.6
119.9
119.48
117.45
118.37
117.07
114.98
112.59
111.7
112.04
110.79
109.82
109.11
109.84
109.31
108.29
107.42
106.71
105.11
104.43
105.55
106.12
105.78
105.33
104.63
104.62
105.57
107.5
107.52
107.76
106.74
106.21
105.77
105.27
104.35
103.52
102.28
100.93
101.04
99.95
99.55
99.56
99.01
98.64
98.98
100.8
100.32
100.72
280.8
280.4
280.4
280.3
281
280.9
279.7
283.1
290.6
291.6
291.7
291.8
291.7
291.5
291.7
293.4
293.1
293.1
292.6
292.1
292.2
292
292.1
293.4
292.2
292.1
291.6
290.9
290.9
290.8
290.5
290
290.2
290.1
291
291.8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212573&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212573&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212573&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.76618412817640.286524770561588
0.0298.9574810879670.294967118441785
0.0399.16666840509590.370519748998612
0.0499.38549005418820.451989629530744
0.0599.61569532126480.523570719807068
0.0699.85733170257570.593103501474457
0.07100.1108533379610.670298796871854
0.08100.3794501854470.766577339172019
0.09100.6689590848540.89250839411371
0.1100.9861202491331.04806447083803
0.11101.3357804938141.21720144829316
0.12101.718005214151.37210105877533
0.13102.1264447776021.4843539201352
0.14102.5488370503841.53397805077801
0.15102.9694861897921.51501894667043
0.16103.3726859046411.43575635476911
0.17103.7458160448961.31452563744382
0.18104.081208301261.17387282710654
0.19104.3765194095061.03427218898261
0.2104.6339108301510.910902996548408
0.21104.8586101346640.812667250040122
0.22105.0574114245910.742673287057154
0.23105.2374751878090.700375478999678
0.24105.4055543922810.683197316702406
0.25105.5676023999260.687963090539122
0.26105.7286426913430.711175706751445
0.27105.8927826939730.749477353108207
0.28106.0632949649070.799453214329875
0.29106.2427329716350.85851743799096
0.3106.4330761579960.924411871865451
0.31106.6359069349640.996348707310175
0.32106.8526183638771.07383045450401
0.33107.0846465118541.15865402182377
0.34107.3337244766891.25299528270123
0.35107.6021700160471.3605650708388
0.36107.8932451907711.4868007238255
0.37108.2116609296991.63994327594318
0.38108.5643364700581.83286598547785
0.39108.9615556824892.08560350615964
0.4109.4186781312372.4291485239893
0.41109.958545357812.91123414267358
0.42110.6146492523853.59997151072675
0.43111.4349746467984.58763033898513
0.44112.4861765559175.99059339255282
0.45113.8574133368697.94281895429148
0.46115.6627825204610.5847900394143
0.47118.04099986126614.044931776341
0.48121.15086994295118.4121219306692
0.49125.16137108468723.7055748902334
0.5130.23591946688629.8436120552847
0.51136.51157056296536.6210180900554
0.52144.07537790819143.7014663473034
0.53152.94151361574950.6332579232989
0.54163.03362064355356.8907193344706
0.55174.17680884487361.9366983721655
0.56186.10251376556665.2974596573649
0.57198.46721373464966.6369307049114
0.58210.88319773514265.8127895991887
0.59222.95689494611262.9017587849347
0.6234.32846425059758.1889329492407
0.61244.70594610416652.1213478307481
0.62253.88845170958545.2379611358759
0.63261.77529546029838.0879904483911
0.64268.36099019878931.1603406433419
0.65273.7188029504724.8292866552328
0.66277.9774175699719.3310251801104
0.67281.29580889151714.7647462823018
0.68283.84074980616411.1159113749983
0.69285.7698394483038.29112285838723
0.7287.2211172742966.15543032405997
0.71288.3087414662934.56478508905647
0.72289.1232016376243.38831031432181
0.73289.7341986621992.52003357707736
0.74290.1945379358631.88039507914115
0.75290.5439062349591.41108462195474
0.76290.8119844666321.06996508845481
0.77291.0208057283760.82419480463361
0.78291.1865197273710.648145321769386
0.79291.3207831916110.520868822470229
0.8291.4319305011540.427155972265294
0.81291.5259732244560.356534039941248
0.82291.6073982408830.303014253932341
0.83291.67971553080.263577156928583
0.84291.7457487368680.235766452923401
0.85291.8077392345190.217434594670549
0.86291.8674092962060.205117648832155
0.87291.9261614942660.196221490896752
0.88291.985546173460.189813625588003
0.89292.0479874688860.188623263630386
0.9292.1175278624390.198720148418324
0.91292.2000922721280.227163732603589
0.92292.3026458414110.275843325327897
0.93292.4308958075430.335830685367924
0.94292.5860657796240.387604319954497
0.95292.7623869444510.408070600418432
0.96292.9470280392950.383316742201684
0.97293.1221838431110.31783875172594
0.98293.2672053164920.222910145447049
0.99293.3622009433180.103424741583688

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.7661841281764 & 0.286524770561588 \tabularnewline
0.02 & 98.957481087967 & 0.294967118441785 \tabularnewline
0.03 & 99.1666684050959 & 0.370519748998612 \tabularnewline
0.04 & 99.3854900541882 & 0.451989629530744 \tabularnewline
0.05 & 99.6156953212648 & 0.523570719807068 \tabularnewline
0.06 & 99.8573317025757 & 0.593103501474457 \tabularnewline
0.07 & 100.110853337961 & 0.670298796871854 \tabularnewline
0.08 & 100.379450185447 & 0.766577339172019 \tabularnewline
0.09 & 100.668959084854 & 0.89250839411371 \tabularnewline
0.1 & 100.986120249133 & 1.04806447083803 \tabularnewline
0.11 & 101.335780493814 & 1.21720144829316 \tabularnewline
0.12 & 101.71800521415 & 1.37210105877533 \tabularnewline
0.13 & 102.126444777602 & 1.4843539201352 \tabularnewline
0.14 & 102.548837050384 & 1.53397805077801 \tabularnewline
0.15 & 102.969486189792 & 1.51501894667043 \tabularnewline
0.16 & 103.372685904641 & 1.43575635476911 \tabularnewline
0.17 & 103.745816044896 & 1.31452563744382 \tabularnewline
0.18 & 104.08120830126 & 1.17387282710654 \tabularnewline
0.19 & 104.376519409506 & 1.03427218898261 \tabularnewline
0.2 & 104.633910830151 & 0.910902996548408 \tabularnewline
0.21 & 104.858610134664 & 0.812667250040122 \tabularnewline
0.22 & 105.057411424591 & 0.742673287057154 \tabularnewline
0.23 & 105.237475187809 & 0.700375478999678 \tabularnewline
0.24 & 105.405554392281 & 0.683197316702406 \tabularnewline
0.25 & 105.567602399926 & 0.687963090539122 \tabularnewline
0.26 & 105.728642691343 & 0.711175706751445 \tabularnewline
0.27 & 105.892782693973 & 0.749477353108207 \tabularnewline
0.28 & 106.063294964907 & 0.799453214329875 \tabularnewline
0.29 & 106.242732971635 & 0.85851743799096 \tabularnewline
0.3 & 106.433076157996 & 0.924411871865451 \tabularnewline
0.31 & 106.635906934964 & 0.996348707310175 \tabularnewline
0.32 & 106.852618363877 & 1.07383045450401 \tabularnewline
0.33 & 107.084646511854 & 1.15865402182377 \tabularnewline
0.34 & 107.333724476689 & 1.25299528270123 \tabularnewline
0.35 & 107.602170016047 & 1.3605650708388 \tabularnewline
0.36 & 107.893245190771 & 1.4868007238255 \tabularnewline
0.37 & 108.211660929699 & 1.63994327594318 \tabularnewline
0.38 & 108.564336470058 & 1.83286598547785 \tabularnewline
0.39 & 108.961555682489 & 2.08560350615964 \tabularnewline
0.4 & 109.418678131237 & 2.4291485239893 \tabularnewline
0.41 & 109.95854535781 & 2.91123414267358 \tabularnewline
0.42 & 110.614649252385 & 3.59997151072675 \tabularnewline
0.43 & 111.434974646798 & 4.58763033898513 \tabularnewline
0.44 & 112.486176555917 & 5.99059339255282 \tabularnewline
0.45 & 113.857413336869 & 7.94281895429148 \tabularnewline
0.46 & 115.66278252046 & 10.5847900394143 \tabularnewline
0.47 & 118.040999861266 & 14.044931776341 \tabularnewline
0.48 & 121.150869942951 & 18.4121219306692 \tabularnewline
0.49 & 125.161371084687 & 23.7055748902334 \tabularnewline
0.5 & 130.235919466886 & 29.8436120552847 \tabularnewline
0.51 & 136.511570562965 & 36.6210180900554 \tabularnewline
0.52 & 144.075377908191 & 43.7014663473034 \tabularnewline
0.53 & 152.941513615749 & 50.6332579232989 \tabularnewline
0.54 & 163.033620643553 & 56.8907193344706 \tabularnewline
0.55 & 174.176808844873 & 61.9366983721655 \tabularnewline
0.56 & 186.102513765566 & 65.2974596573649 \tabularnewline
0.57 & 198.467213734649 & 66.6369307049114 \tabularnewline
0.58 & 210.883197735142 & 65.8127895991887 \tabularnewline
0.59 & 222.956894946112 & 62.9017587849347 \tabularnewline
0.6 & 234.328464250597 & 58.1889329492407 \tabularnewline
0.61 & 244.705946104166 & 52.1213478307481 \tabularnewline
0.62 & 253.888451709585 & 45.2379611358759 \tabularnewline
0.63 & 261.775295460298 & 38.0879904483911 \tabularnewline
0.64 & 268.360990198789 & 31.1603406433419 \tabularnewline
0.65 & 273.71880295047 & 24.8292866552328 \tabularnewline
0.66 & 277.97741756997 & 19.3310251801104 \tabularnewline
0.67 & 281.295808891517 & 14.7647462823018 \tabularnewline
0.68 & 283.840749806164 & 11.1159113749983 \tabularnewline
0.69 & 285.769839448303 & 8.29112285838723 \tabularnewline
0.7 & 287.221117274296 & 6.15543032405997 \tabularnewline
0.71 & 288.308741466293 & 4.56478508905647 \tabularnewline
0.72 & 289.123201637624 & 3.38831031432181 \tabularnewline
0.73 & 289.734198662199 & 2.52003357707736 \tabularnewline
0.74 & 290.194537935863 & 1.88039507914115 \tabularnewline
0.75 & 290.543906234959 & 1.41108462195474 \tabularnewline
0.76 & 290.811984466632 & 1.06996508845481 \tabularnewline
0.77 & 291.020805728376 & 0.82419480463361 \tabularnewline
0.78 & 291.186519727371 & 0.648145321769386 \tabularnewline
0.79 & 291.320783191611 & 0.520868822470229 \tabularnewline
0.8 & 291.431930501154 & 0.427155972265294 \tabularnewline
0.81 & 291.525973224456 & 0.356534039941248 \tabularnewline
0.82 & 291.607398240883 & 0.303014253932341 \tabularnewline
0.83 & 291.6797155308 & 0.263577156928583 \tabularnewline
0.84 & 291.745748736868 & 0.235766452923401 \tabularnewline
0.85 & 291.807739234519 & 0.217434594670549 \tabularnewline
0.86 & 291.867409296206 & 0.205117648832155 \tabularnewline
0.87 & 291.926161494266 & 0.196221490896752 \tabularnewline
0.88 & 291.98554617346 & 0.189813625588003 \tabularnewline
0.89 & 292.047987468886 & 0.188623263630386 \tabularnewline
0.9 & 292.117527862439 & 0.198720148418324 \tabularnewline
0.91 & 292.200092272128 & 0.227163732603589 \tabularnewline
0.92 & 292.302645841411 & 0.275843325327897 \tabularnewline
0.93 & 292.430895807543 & 0.335830685367924 \tabularnewline
0.94 & 292.586065779624 & 0.387604319954497 \tabularnewline
0.95 & 292.762386944451 & 0.408070600418432 \tabularnewline
0.96 & 292.947028039295 & 0.383316742201684 \tabularnewline
0.97 & 293.122183843111 & 0.31783875172594 \tabularnewline
0.98 & 293.267205316492 & 0.222910145447049 \tabularnewline
0.99 & 293.362200943318 & 0.103424741583688 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212573&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]98.7661841281764[/C][C]0.286524770561588[/C][/ROW]
[ROW][C]0.02[/C][C]98.957481087967[/C][C]0.294967118441785[/C][/ROW]
[ROW][C]0.03[/C][C]99.1666684050959[/C][C]0.370519748998612[/C][/ROW]
[ROW][C]0.04[/C][C]99.3854900541882[/C][C]0.451989629530744[/C][/ROW]
[ROW][C]0.05[/C][C]99.6156953212648[/C][C]0.523570719807068[/C][/ROW]
[ROW][C]0.06[/C][C]99.8573317025757[/C][C]0.593103501474457[/C][/ROW]
[ROW][C]0.07[/C][C]100.110853337961[/C][C]0.670298796871854[/C][/ROW]
[ROW][C]0.08[/C][C]100.379450185447[/C][C]0.766577339172019[/C][/ROW]
[ROW][C]0.09[/C][C]100.668959084854[/C][C]0.89250839411371[/C][/ROW]
[ROW][C]0.1[/C][C]100.986120249133[/C][C]1.04806447083803[/C][/ROW]
[ROW][C]0.11[/C][C]101.335780493814[/C][C]1.21720144829316[/C][/ROW]
[ROW][C]0.12[/C][C]101.71800521415[/C][C]1.37210105877533[/C][/ROW]
[ROW][C]0.13[/C][C]102.126444777602[/C][C]1.4843539201352[/C][/ROW]
[ROW][C]0.14[/C][C]102.548837050384[/C][C]1.53397805077801[/C][/ROW]
[ROW][C]0.15[/C][C]102.969486189792[/C][C]1.51501894667043[/C][/ROW]
[ROW][C]0.16[/C][C]103.372685904641[/C][C]1.43575635476911[/C][/ROW]
[ROW][C]0.17[/C][C]103.745816044896[/C][C]1.31452563744382[/C][/ROW]
[ROW][C]0.18[/C][C]104.08120830126[/C][C]1.17387282710654[/C][/ROW]
[ROW][C]0.19[/C][C]104.376519409506[/C][C]1.03427218898261[/C][/ROW]
[ROW][C]0.2[/C][C]104.633910830151[/C][C]0.910902996548408[/C][/ROW]
[ROW][C]0.21[/C][C]104.858610134664[/C][C]0.812667250040122[/C][/ROW]
[ROW][C]0.22[/C][C]105.057411424591[/C][C]0.742673287057154[/C][/ROW]
[ROW][C]0.23[/C][C]105.237475187809[/C][C]0.700375478999678[/C][/ROW]
[ROW][C]0.24[/C][C]105.405554392281[/C][C]0.683197316702406[/C][/ROW]
[ROW][C]0.25[/C][C]105.567602399926[/C][C]0.687963090539122[/C][/ROW]
[ROW][C]0.26[/C][C]105.728642691343[/C][C]0.711175706751445[/C][/ROW]
[ROW][C]0.27[/C][C]105.892782693973[/C][C]0.749477353108207[/C][/ROW]
[ROW][C]0.28[/C][C]106.063294964907[/C][C]0.799453214329875[/C][/ROW]
[ROW][C]0.29[/C][C]106.242732971635[/C][C]0.85851743799096[/C][/ROW]
[ROW][C]0.3[/C][C]106.433076157996[/C][C]0.924411871865451[/C][/ROW]
[ROW][C]0.31[/C][C]106.635906934964[/C][C]0.996348707310175[/C][/ROW]
[ROW][C]0.32[/C][C]106.852618363877[/C][C]1.07383045450401[/C][/ROW]
[ROW][C]0.33[/C][C]107.084646511854[/C][C]1.15865402182377[/C][/ROW]
[ROW][C]0.34[/C][C]107.333724476689[/C][C]1.25299528270123[/C][/ROW]
[ROW][C]0.35[/C][C]107.602170016047[/C][C]1.3605650708388[/C][/ROW]
[ROW][C]0.36[/C][C]107.893245190771[/C][C]1.4868007238255[/C][/ROW]
[ROW][C]0.37[/C][C]108.211660929699[/C][C]1.63994327594318[/C][/ROW]
[ROW][C]0.38[/C][C]108.564336470058[/C][C]1.83286598547785[/C][/ROW]
[ROW][C]0.39[/C][C]108.961555682489[/C][C]2.08560350615964[/C][/ROW]
[ROW][C]0.4[/C][C]109.418678131237[/C][C]2.4291485239893[/C][/ROW]
[ROW][C]0.41[/C][C]109.95854535781[/C][C]2.91123414267358[/C][/ROW]
[ROW][C]0.42[/C][C]110.614649252385[/C][C]3.59997151072675[/C][/ROW]
[ROW][C]0.43[/C][C]111.434974646798[/C][C]4.58763033898513[/C][/ROW]
[ROW][C]0.44[/C][C]112.486176555917[/C][C]5.99059339255282[/C][/ROW]
[ROW][C]0.45[/C][C]113.857413336869[/C][C]7.94281895429148[/C][/ROW]
[ROW][C]0.46[/C][C]115.66278252046[/C][C]10.5847900394143[/C][/ROW]
[ROW][C]0.47[/C][C]118.040999861266[/C][C]14.044931776341[/C][/ROW]
[ROW][C]0.48[/C][C]121.150869942951[/C][C]18.4121219306692[/C][/ROW]
[ROW][C]0.49[/C][C]125.161371084687[/C][C]23.7055748902334[/C][/ROW]
[ROW][C]0.5[/C][C]130.235919466886[/C][C]29.8436120552847[/C][/ROW]
[ROW][C]0.51[/C][C]136.511570562965[/C][C]36.6210180900554[/C][/ROW]
[ROW][C]0.52[/C][C]144.075377908191[/C][C]43.7014663473034[/C][/ROW]
[ROW][C]0.53[/C][C]152.941513615749[/C][C]50.6332579232989[/C][/ROW]
[ROW][C]0.54[/C][C]163.033620643553[/C][C]56.8907193344706[/C][/ROW]
[ROW][C]0.55[/C][C]174.176808844873[/C][C]61.9366983721655[/C][/ROW]
[ROW][C]0.56[/C][C]186.102513765566[/C][C]65.2974596573649[/C][/ROW]
[ROW][C]0.57[/C][C]198.467213734649[/C][C]66.6369307049114[/C][/ROW]
[ROW][C]0.58[/C][C]210.883197735142[/C][C]65.8127895991887[/C][/ROW]
[ROW][C]0.59[/C][C]222.956894946112[/C][C]62.9017587849347[/C][/ROW]
[ROW][C]0.6[/C][C]234.328464250597[/C][C]58.1889329492407[/C][/ROW]
[ROW][C]0.61[/C][C]244.705946104166[/C][C]52.1213478307481[/C][/ROW]
[ROW][C]0.62[/C][C]253.888451709585[/C][C]45.2379611358759[/C][/ROW]
[ROW][C]0.63[/C][C]261.775295460298[/C][C]38.0879904483911[/C][/ROW]
[ROW][C]0.64[/C][C]268.360990198789[/C][C]31.1603406433419[/C][/ROW]
[ROW][C]0.65[/C][C]273.71880295047[/C][C]24.8292866552328[/C][/ROW]
[ROW][C]0.66[/C][C]277.97741756997[/C][C]19.3310251801104[/C][/ROW]
[ROW][C]0.67[/C][C]281.295808891517[/C][C]14.7647462823018[/C][/ROW]
[ROW][C]0.68[/C][C]283.840749806164[/C][C]11.1159113749983[/C][/ROW]
[ROW][C]0.69[/C][C]285.769839448303[/C][C]8.29112285838723[/C][/ROW]
[ROW][C]0.7[/C][C]287.221117274296[/C][C]6.15543032405997[/C][/ROW]
[ROW][C]0.71[/C][C]288.308741466293[/C][C]4.56478508905647[/C][/ROW]
[ROW][C]0.72[/C][C]289.123201637624[/C][C]3.38831031432181[/C][/ROW]
[ROW][C]0.73[/C][C]289.734198662199[/C][C]2.52003357707736[/C][/ROW]
[ROW][C]0.74[/C][C]290.194537935863[/C][C]1.88039507914115[/C][/ROW]
[ROW][C]0.75[/C][C]290.543906234959[/C][C]1.41108462195474[/C][/ROW]
[ROW][C]0.76[/C][C]290.811984466632[/C][C]1.06996508845481[/C][/ROW]
[ROW][C]0.77[/C][C]291.020805728376[/C][C]0.82419480463361[/C][/ROW]
[ROW][C]0.78[/C][C]291.186519727371[/C][C]0.648145321769386[/C][/ROW]
[ROW][C]0.79[/C][C]291.320783191611[/C][C]0.520868822470229[/C][/ROW]
[ROW][C]0.8[/C][C]291.431930501154[/C][C]0.427155972265294[/C][/ROW]
[ROW][C]0.81[/C][C]291.525973224456[/C][C]0.356534039941248[/C][/ROW]
[ROW][C]0.82[/C][C]291.607398240883[/C][C]0.303014253932341[/C][/ROW]
[ROW][C]0.83[/C][C]291.6797155308[/C][C]0.263577156928583[/C][/ROW]
[ROW][C]0.84[/C][C]291.745748736868[/C][C]0.235766452923401[/C][/ROW]
[ROW][C]0.85[/C][C]291.807739234519[/C][C]0.217434594670549[/C][/ROW]
[ROW][C]0.86[/C][C]291.867409296206[/C][C]0.205117648832155[/C][/ROW]
[ROW][C]0.87[/C][C]291.926161494266[/C][C]0.196221490896752[/C][/ROW]
[ROW][C]0.88[/C][C]291.98554617346[/C][C]0.189813625588003[/C][/ROW]
[ROW][C]0.89[/C][C]292.047987468886[/C][C]0.188623263630386[/C][/ROW]
[ROW][C]0.9[/C][C]292.117527862439[/C][C]0.198720148418324[/C][/ROW]
[ROW][C]0.91[/C][C]292.200092272128[/C][C]0.227163732603589[/C][/ROW]
[ROW][C]0.92[/C][C]292.302645841411[/C][C]0.275843325327897[/C][/ROW]
[ROW][C]0.93[/C][C]292.430895807543[/C][C]0.335830685367924[/C][/ROW]
[ROW][C]0.94[/C][C]292.586065779624[/C][C]0.387604319954497[/C][/ROW]
[ROW][C]0.95[/C][C]292.762386944451[/C][C]0.408070600418432[/C][/ROW]
[ROW][C]0.96[/C][C]292.947028039295[/C][C]0.383316742201684[/C][/ROW]
[ROW][C]0.97[/C][C]293.122183843111[/C][C]0.31783875172594[/C][/ROW]
[ROW][C]0.98[/C][C]293.267205316492[/C][C]0.222910145447049[/C][/ROW]
[ROW][C]0.99[/C][C]293.362200943318[/C][C]0.103424741583688[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212573&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212573&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
0.0198.76618412817640.286524770561588
0.0298.9574810879670.294967118441785
0.0399.16666840509590.370519748998612
0.0499.38549005418820.451989629530744
0.0599.61569532126480.523570719807068
0.0699.85733170257570.593103501474457
0.07100.1108533379610.670298796871854
0.08100.3794501854470.766577339172019
0.09100.6689590848540.89250839411371
0.1100.9861202491331.04806447083803
0.11101.3357804938141.21720144829316
0.12101.718005214151.37210105877533
0.13102.1264447776021.4843539201352
0.14102.5488370503841.53397805077801
0.15102.9694861897921.51501894667043
0.16103.3726859046411.43575635476911
0.17103.7458160448961.31452563744382
0.18104.081208301261.17387282710654
0.19104.3765194095061.03427218898261
0.2104.6339108301510.910902996548408
0.21104.8586101346640.812667250040122
0.22105.0574114245910.742673287057154
0.23105.2374751878090.700375478999678
0.24105.4055543922810.683197316702406
0.25105.5676023999260.687963090539122
0.26105.7286426913430.711175706751445
0.27105.8927826939730.749477353108207
0.28106.0632949649070.799453214329875
0.29106.2427329716350.85851743799096
0.3106.4330761579960.924411871865451
0.31106.6359069349640.996348707310175
0.32106.8526183638771.07383045450401
0.33107.0846465118541.15865402182377
0.34107.3337244766891.25299528270123
0.35107.6021700160471.3605650708388
0.36107.8932451907711.4868007238255
0.37108.2116609296991.63994327594318
0.38108.5643364700581.83286598547785
0.39108.9615556824892.08560350615964
0.4109.4186781312372.4291485239893
0.41109.958545357812.91123414267358
0.42110.6146492523853.59997151072675
0.43111.4349746467984.58763033898513
0.44112.4861765559175.99059339255282
0.45113.8574133368697.94281895429148
0.46115.6627825204610.5847900394143
0.47118.04099986126614.044931776341
0.48121.15086994295118.4121219306692
0.49125.16137108468723.7055748902334
0.5130.23591946688629.8436120552847
0.51136.51157056296536.6210180900554
0.52144.07537790819143.7014663473034
0.53152.94151361574950.6332579232989
0.54163.03362064355356.8907193344706
0.55174.17680884487361.9366983721655
0.56186.10251376556665.2974596573649
0.57198.46721373464966.6369307049114
0.58210.88319773514265.8127895991887
0.59222.95689494611262.9017587849347
0.6234.32846425059758.1889329492407
0.61244.70594610416652.1213478307481
0.62253.88845170958545.2379611358759
0.63261.77529546029838.0879904483911
0.64268.36099019878931.1603406433419
0.65273.7188029504724.8292866552328
0.66277.9774175699719.3310251801104
0.67281.29580889151714.7647462823018
0.68283.84074980616411.1159113749983
0.69285.7698394483038.29112285838723
0.7287.2211172742966.15543032405997
0.71288.3087414662934.56478508905647
0.72289.1232016376243.38831031432181
0.73289.7341986621992.52003357707736
0.74290.1945379358631.88039507914115
0.75290.5439062349591.41108462195474
0.76290.8119844666321.06996508845481
0.77291.0208057283760.82419480463361
0.78291.1865197273710.648145321769386
0.79291.3207831916110.520868822470229
0.8291.4319305011540.427155972265294
0.81291.5259732244560.356534039941248
0.82291.6073982408830.303014253932341
0.83291.67971553080.263577156928583
0.84291.7457487368680.235766452923401
0.85291.8077392345190.217434594670549
0.86291.8674092962060.205117648832155
0.87291.9261614942660.196221490896752
0.88291.985546173460.189813625588003
0.89292.0479874688860.188623263630386
0.9292.1175278624390.198720148418324
0.91292.2000922721280.227163732603589
0.92292.3026458414110.275843325327897
0.93292.4308958075430.335830685367924
0.94292.5860657796240.387604319954497
0.95292.7623869444510.408070600418432
0.96292.9470280392950.383316742201684
0.97293.1221838431110.31783875172594
0.98293.2672053164920.222910145447049
0.99293.3622009433180.103424741583688


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 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')