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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 computationFri, 03 Oct 2014 14:45:21 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/03/t1412344002jnpwn2mk51zlkkd.htm/, Retrieved Fri, 10 May 2024 14:54:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238436, Retrieved Fri, 10 May 2024 14:54:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-10-03 13:45:21] [af43fcfc4e3257f4a3dbe682dec77e63] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
109.03
110.43
111.01
111.01
110.76
111.13
111.07
111.09
110.96
110.64
110.62
110.59
111.33
113.94
114.61
114.64
114.62
114.71
114.72
114.66
114.76
114.68
114.75
114.74
116.36
117.53
118.82
119.83
119.97
121.29
120.94
121.02
120.98
121.02
120.89
120.76
123.28
123.98
125.91
125.84
125.98
127.24
127.23
127.82
127.59
127.74
127.44
127.35
128.54
129.3
130.67
130.76
131.34
130.69
130.96
130.68
130.61
130.59
130.44
129.04
131.46
132.77
134.48
134.52
136.11
136.12
136.03
135.84
137.75
137.45
136.84
136.79
140.12
140.68
140.35
140.42
140.19
140.14
140.13
139.45
139.59
139.44
139.53
139.28

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=238436&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=238436&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238436&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
0.01109.4691967750061.00809921231565
0.02109.990527929430.569345776179787
0.03110.3509974783930.287927993363697
0.04110.5501106324220.175993246543222
0.05110.6645034242870.163630480439876
0.06110.7499537412770.186011805294498
0.07110.8325865343530.222769519857269
0.08110.9243520921860.282876129825363
0.09111.0344776097830.383931833278479
0.1111.1735750224460.535393847252642
0.11111.3528025247340.731243365731955
0.12111.580635888090.949887463983991
0.13111.8594298289241.15993565625467
0.14112.1834499036291.32719237768376
0.15112.5392623833221.42486976878237
0.16112.9084110488841.44079915245983
0.17113.2714985317011.38024020062144
0.18113.6123993290591.26454144273524
0.19113.9214437496121.12561367204377
0.2114.1968919790380.999255633180404
0.21114.4446093592540.919987689512953
0.22114.6763222201920.914088999145842
0.23114.9070612707850.990830758325228
0.24115.1524015448591.14085983887481
0.25115.4259766713751.34288439194182
0.26115.737579227311.57219431835316
0.27116.0920163279811.80343549138154
0.28116.4887815097912.01257338126429
0.29116.9225148773032.17979175324855
0.3117.3841375004852.29178347897625
0.31117.8624622809432.34348012003093
0.32118.3460163754542.3385916428189
0.33118.8247795405462.28908349692681
0.34119.2915618792352.21239589004937
0.35119.7428135554822.12972784040315
0.36120.1787647140862.06179273014995
0.37120.6029141237282.02493405859744
0.38121.0209960881572.02825217110885
0.39121.4396369350472.0717529465665
0.4121.8649521820922.14664732664072
0.41122.3013291204242.23776895494628
0.42122.750591112152.32766577090006
0.43123.2116604014672.39908742037519
0.44123.6807415998682.43899385581898
0.45124.1519561548782.43854656832935
0.46124.6182855884882.39507587978639
0.47125.0726399526372.31195150698698
0.48125.5088626856322.19719064123317
0.49125.9225112444762.06272342096579
0.5126.311305751771.92146572127682
0.51126.6752032128261.78594782993665
0.52127.0161200881471.66686655421328
0.53127.3373808025031.5711205950186
0.54127.6430073051261.50073121712319
0.55127.9369818696671.4531874901284
0.56128.2226117321261.42235996894137
0.57128.5021018909081.39993125256297
0.58128.7764050531781.37800164328689
0.59129.0453703319231.34984771365513
0.6129.3081611751621.31236257350882
0.61129.563865333861.26624796219706
0.62129.8121827393631.21612357622794
0.63130.0540572325761.17007037606758
0.64130.2921192812031.13923804027092
0.65130.5308303288661.13479970025696
0.66130.7762632801571.16648598206332
0.67131.0355129505681.23843574554773
0.68131.3157976744681.34822155463821
0.69131.6233790371841.48666131864579
0.7131.9624794206461.63919394522421
0.71132.3344043494191.78850410185872
0.72132.7370672388451.91676049326906
0.73133.1650612938292.00844264276093
0.74133.6103286255362.05264532197539
0.75134.0633531398772.04539662664637
0.76134.5146757290851.99048969454844
0.77134.9564292822661.89884519554485
0.78135.3835480579761.78700599300704
0.79135.7943426915261.67313034298886
0.8136.1902536253211.57356486637835
0.81136.5747868315891.49791745488697
0.82136.951860327181.44627122903665
0.83137.3239931105611.40887893808988
0.84137.6908810316661.3694816592494
0.85138.0488586687221.31177636480549
0.86138.3915047753951.2242570013148
0.87138.7112455377481.10500695908888
0.88139.0013817525010.961909883217229
0.89139.2577320019480.809626753084518
0.9139.4792410272890.663648519579683
0.91139.6674630691680.534607854458324
0.92139.8255076331180.425038340500682
0.93139.9573374377620.332429265637696
0.94140.0679113096310.255732196368395
0.95140.1638772495970.198517545895903
0.96140.254220501580.164608823385828
0.97140.3504448358630.152279116789271
0.98140.4634789548670.163785185090108
0.99140.5883524927250.207794467284832

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 109.469196775006 & 1.00809921231565 \tabularnewline
0.02 & 109.99052792943 & 0.569345776179787 \tabularnewline
0.03 & 110.350997478393 & 0.287927993363697 \tabularnewline
0.04 & 110.550110632422 & 0.175993246543222 \tabularnewline
0.05 & 110.664503424287 & 0.163630480439876 \tabularnewline
0.06 & 110.749953741277 & 0.186011805294498 \tabularnewline
0.07 & 110.832586534353 & 0.222769519857269 \tabularnewline
0.08 & 110.924352092186 & 0.282876129825363 \tabularnewline
0.09 & 111.034477609783 & 0.383931833278479 \tabularnewline
0.1 & 111.173575022446 & 0.535393847252642 \tabularnewline
0.11 & 111.352802524734 & 0.731243365731955 \tabularnewline
0.12 & 111.58063588809 & 0.949887463983991 \tabularnewline
0.13 & 111.859429828924 & 1.15993565625467 \tabularnewline
0.14 & 112.183449903629 & 1.32719237768376 \tabularnewline
0.15 & 112.539262383322 & 1.42486976878237 \tabularnewline
0.16 & 112.908411048884 & 1.44079915245983 \tabularnewline
0.17 & 113.271498531701 & 1.38024020062144 \tabularnewline
0.18 & 113.612399329059 & 1.26454144273524 \tabularnewline
0.19 & 113.921443749612 & 1.12561367204377 \tabularnewline
0.2 & 114.196891979038 & 0.999255633180404 \tabularnewline
0.21 & 114.444609359254 & 0.919987689512953 \tabularnewline
0.22 & 114.676322220192 & 0.914088999145842 \tabularnewline
0.23 & 114.907061270785 & 0.990830758325228 \tabularnewline
0.24 & 115.152401544859 & 1.14085983887481 \tabularnewline
0.25 & 115.425976671375 & 1.34288439194182 \tabularnewline
0.26 & 115.73757922731 & 1.57219431835316 \tabularnewline
0.27 & 116.092016327981 & 1.80343549138154 \tabularnewline
0.28 & 116.488781509791 & 2.01257338126429 \tabularnewline
0.29 & 116.922514877303 & 2.17979175324855 \tabularnewline
0.3 & 117.384137500485 & 2.29178347897625 \tabularnewline
0.31 & 117.862462280943 & 2.34348012003093 \tabularnewline
0.32 & 118.346016375454 & 2.3385916428189 \tabularnewline
0.33 & 118.824779540546 & 2.28908349692681 \tabularnewline
0.34 & 119.291561879235 & 2.21239589004937 \tabularnewline
0.35 & 119.742813555482 & 2.12972784040315 \tabularnewline
0.36 & 120.178764714086 & 2.06179273014995 \tabularnewline
0.37 & 120.602914123728 & 2.02493405859744 \tabularnewline
0.38 & 121.020996088157 & 2.02825217110885 \tabularnewline
0.39 & 121.439636935047 & 2.0717529465665 \tabularnewline
0.4 & 121.864952182092 & 2.14664732664072 \tabularnewline
0.41 & 122.301329120424 & 2.23776895494628 \tabularnewline
0.42 & 122.75059111215 & 2.32766577090006 \tabularnewline
0.43 & 123.211660401467 & 2.39908742037519 \tabularnewline
0.44 & 123.680741599868 & 2.43899385581898 \tabularnewline
0.45 & 124.151956154878 & 2.43854656832935 \tabularnewline
0.46 & 124.618285588488 & 2.39507587978639 \tabularnewline
0.47 & 125.072639952637 & 2.31195150698698 \tabularnewline
0.48 & 125.508862685632 & 2.19719064123317 \tabularnewline
0.49 & 125.922511244476 & 2.06272342096579 \tabularnewline
0.5 & 126.31130575177 & 1.92146572127682 \tabularnewline
0.51 & 126.675203212826 & 1.78594782993665 \tabularnewline
0.52 & 127.016120088147 & 1.66686655421328 \tabularnewline
0.53 & 127.337380802503 & 1.5711205950186 \tabularnewline
0.54 & 127.643007305126 & 1.50073121712319 \tabularnewline
0.55 & 127.936981869667 & 1.4531874901284 \tabularnewline
0.56 & 128.222611732126 & 1.42235996894137 \tabularnewline
0.57 & 128.502101890908 & 1.39993125256297 \tabularnewline
0.58 & 128.776405053178 & 1.37800164328689 \tabularnewline
0.59 & 129.045370331923 & 1.34984771365513 \tabularnewline
0.6 & 129.308161175162 & 1.31236257350882 \tabularnewline
0.61 & 129.56386533386 & 1.26624796219706 \tabularnewline
0.62 & 129.812182739363 & 1.21612357622794 \tabularnewline
0.63 & 130.054057232576 & 1.17007037606758 \tabularnewline
0.64 & 130.292119281203 & 1.13923804027092 \tabularnewline
0.65 & 130.530830328866 & 1.13479970025696 \tabularnewline
0.66 & 130.776263280157 & 1.16648598206332 \tabularnewline
0.67 & 131.035512950568 & 1.23843574554773 \tabularnewline
0.68 & 131.315797674468 & 1.34822155463821 \tabularnewline
0.69 & 131.623379037184 & 1.48666131864579 \tabularnewline
0.7 & 131.962479420646 & 1.63919394522421 \tabularnewline
0.71 & 132.334404349419 & 1.78850410185872 \tabularnewline
0.72 & 132.737067238845 & 1.91676049326906 \tabularnewline
0.73 & 133.165061293829 & 2.00844264276093 \tabularnewline
0.74 & 133.610328625536 & 2.05264532197539 \tabularnewline
0.75 & 134.063353139877 & 2.04539662664637 \tabularnewline
0.76 & 134.514675729085 & 1.99048969454844 \tabularnewline
0.77 & 134.956429282266 & 1.89884519554485 \tabularnewline
0.78 & 135.383548057976 & 1.78700599300704 \tabularnewline
0.79 & 135.794342691526 & 1.67313034298886 \tabularnewline
0.8 & 136.190253625321 & 1.57356486637835 \tabularnewline
0.81 & 136.574786831589 & 1.49791745488697 \tabularnewline
0.82 & 136.95186032718 & 1.44627122903665 \tabularnewline
0.83 & 137.323993110561 & 1.40887893808988 \tabularnewline
0.84 & 137.690881031666 & 1.3694816592494 \tabularnewline
0.85 & 138.048858668722 & 1.31177636480549 \tabularnewline
0.86 & 138.391504775395 & 1.2242570013148 \tabularnewline
0.87 & 138.711245537748 & 1.10500695908888 \tabularnewline
0.88 & 139.001381752501 & 0.961909883217229 \tabularnewline
0.89 & 139.257732001948 & 0.809626753084518 \tabularnewline
0.9 & 139.479241027289 & 0.663648519579683 \tabularnewline
0.91 & 139.667463069168 & 0.534607854458324 \tabularnewline
0.92 & 139.825507633118 & 0.425038340500682 \tabularnewline
0.93 & 139.957337437762 & 0.332429265637696 \tabularnewline
0.94 & 140.067911309631 & 0.255732196368395 \tabularnewline
0.95 & 140.163877249597 & 0.198517545895903 \tabularnewline
0.96 & 140.25422050158 & 0.164608823385828 \tabularnewline
0.97 & 140.350444835863 & 0.152279116789271 \tabularnewline
0.98 & 140.463478954867 & 0.163785185090108 \tabularnewline
0.99 & 140.588352492725 & 0.207794467284832 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238436&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]109.469196775006[/C][C]1.00809921231565[/C][/ROW]
[ROW][C]0.02[/C][C]109.99052792943[/C][C]0.569345776179787[/C][/ROW]
[ROW][C]0.03[/C][C]110.350997478393[/C][C]0.287927993363697[/C][/ROW]
[ROW][C]0.04[/C][C]110.550110632422[/C][C]0.175993246543222[/C][/ROW]
[ROW][C]0.05[/C][C]110.664503424287[/C][C]0.163630480439876[/C][/ROW]
[ROW][C]0.06[/C][C]110.749953741277[/C][C]0.186011805294498[/C][/ROW]
[ROW][C]0.07[/C][C]110.832586534353[/C][C]0.222769519857269[/C][/ROW]
[ROW][C]0.08[/C][C]110.924352092186[/C][C]0.282876129825363[/C][/ROW]
[ROW][C]0.09[/C][C]111.034477609783[/C][C]0.383931833278479[/C][/ROW]
[ROW][C]0.1[/C][C]111.173575022446[/C][C]0.535393847252642[/C][/ROW]
[ROW][C]0.11[/C][C]111.352802524734[/C][C]0.731243365731955[/C][/ROW]
[ROW][C]0.12[/C][C]111.58063588809[/C][C]0.949887463983991[/C][/ROW]
[ROW][C]0.13[/C][C]111.859429828924[/C][C]1.15993565625467[/C][/ROW]
[ROW][C]0.14[/C][C]112.183449903629[/C][C]1.32719237768376[/C][/ROW]
[ROW][C]0.15[/C][C]112.539262383322[/C][C]1.42486976878237[/C][/ROW]
[ROW][C]0.16[/C][C]112.908411048884[/C][C]1.44079915245983[/C][/ROW]
[ROW][C]0.17[/C][C]113.271498531701[/C][C]1.38024020062144[/C][/ROW]
[ROW][C]0.18[/C][C]113.612399329059[/C][C]1.26454144273524[/C][/ROW]
[ROW][C]0.19[/C][C]113.921443749612[/C][C]1.12561367204377[/C][/ROW]
[ROW][C]0.2[/C][C]114.196891979038[/C][C]0.999255633180404[/C][/ROW]
[ROW][C]0.21[/C][C]114.444609359254[/C][C]0.919987689512953[/C][/ROW]
[ROW][C]0.22[/C][C]114.676322220192[/C][C]0.914088999145842[/C][/ROW]
[ROW][C]0.23[/C][C]114.907061270785[/C][C]0.990830758325228[/C][/ROW]
[ROW][C]0.24[/C][C]115.152401544859[/C][C]1.14085983887481[/C][/ROW]
[ROW][C]0.25[/C][C]115.425976671375[/C][C]1.34288439194182[/C][/ROW]
[ROW][C]0.26[/C][C]115.73757922731[/C][C]1.57219431835316[/C][/ROW]
[ROW][C]0.27[/C][C]116.092016327981[/C][C]1.80343549138154[/C][/ROW]
[ROW][C]0.28[/C][C]116.488781509791[/C][C]2.01257338126429[/C][/ROW]
[ROW][C]0.29[/C][C]116.922514877303[/C][C]2.17979175324855[/C][/ROW]
[ROW][C]0.3[/C][C]117.384137500485[/C][C]2.29178347897625[/C][/ROW]
[ROW][C]0.31[/C][C]117.862462280943[/C][C]2.34348012003093[/C][/ROW]
[ROW][C]0.32[/C][C]118.346016375454[/C][C]2.3385916428189[/C][/ROW]
[ROW][C]0.33[/C][C]118.824779540546[/C][C]2.28908349692681[/C][/ROW]
[ROW][C]0.34[/C][C]119.291561879235[/C][C]2.21239589004937[/C][/ROW]
[ROW][C]0.35[/C][C]119.742813555482[/C][C]2.12972784040315[/C][/ROW]
[ROW][C]0.36[/C][C]120.178764714086[/C][C]2.06179273014995[/C][/ROW]
[ROW][C]0.37[/C][C]120.602914123728[/C][C]2.02493405859744[/C][/ROW]
[ROW][C]0.38[/C][C]121.020996088157[/C][C]2.02825217110885[/C][/ROW]
[ROW][C]0.39[/C][C]121.439636935047[/C][C]2.0717529465665[/C][/ROW]
[ROW][C]0.4[/C][C]121.864952182092[/C][C]2.14664732664072[/C][/ROW]
[ROW][C]0.41[/C][C]122.301329120424[/C][C]2.23776895494628[/C][/ROW]
[ROW][C]0.42[/C][C]122.75059111215[/C][C]2.32766577090006[/C][/ROW]
[ROW][C]0.43[/C][C]123.211660401467[/C][C]2.39908742037519[/C][/ROW]
[ROW][C]0.44[/C][C]123.680741599868[/C][C]2.43899385581898[/C][/ROW]
[ROW][C]0.45[/C][C]124.151956154878[/C][C]2.43854656832935[/C][/ROW]
[ROW][C]0.46[/C][C]124.618285588488[/C][C]2.39507587978639[/C][/ROW]
[ROW][C]0.47[/C][C]125.072639952637[/C][C]2.31195150698698[/C][/ROW]
[ROW][C]0.48[/C][C]125.508862685632[/C][C]2.19719064123317[/C][/ROW]
[ROW][C]0.49[/C][C]125.922511244476[/C][C]2.06272342096579[/C][/ROW]
[ROW][C]0.5[/C][C]126.31130575177[/C][C]1.92146572127682[/C][/ROW]
[ROW][C]0.51[/C][C]126.675203212826[/C][C]1.78594782993665[/C][/ROW]
[ROW][C]0.52[/C][C]127.016120088147[/C][C]1.66686655421328[/C][/ROW]
[ROW][C]0.53[/C][C]127.337380802503[/C][C]1.5711205950186[/C][/ROW]
[ROW][C]0.54[/C][C]127.643007305126[/C][C]1.50073121712319[/C][/ROW]
[ROW][C]0.55[/C][C]127.936981869667[/C][C]1.4531874901284[/C][/ROW]
[ROW][C]0.56[/C][C]128.222611732126[/C][C]1.42235996894137[/C][/ROW]
[ROW][C]0.57[/C][C]128.502101890908[/C][C]1.39993125256297[/C][/ROW]
[ROW][C]0.58[/C][C]128.776405053178[/C][C]1.37800164328689[/C][/ROW]
[ROW][C]0.59[/C][C]129.045370331923[/C][C]1.34984771365513[/C][/ROW]
[ROW][C]0.6[/C][C]129.308161175162[/C][C]1.31236257350882[/C][/ROW]
[ROW][C]0.61[/C][C]129.56386533386[/C][C]1.26624796219706[/C][/ROW]
[ROW][C]0.62[/C][C]129.812182739363[/C][C]1.21612357622794[/C][/ROW]
[ROW][C]0.63[/C][C]130.054057232576[/C][C]1.17007037606758[/C][/ROW]
[ROW][C]0.64[/C][C]130.292119281203[/C][C]1.13923804027092[/C][/ROW]
[ROW][C]0.65[/C][C]130.530830328866[/C][C]1.13479970025696[/C][/ROW]
[ROW][C]0.66[/C][C]130.776263280157[/C][C]1.16648598206332[/C][/ROW]
[ROW][C]0.67[/C][C]131.035512950568[/C][C]1.23843574554773[/C][/ROW]
[ROW][C]0.68[/C][C]131.315797674468[/C][C]1.34822155463821[/C][/ROW]
[ROW][C]0.69[/C][C]131.623379037184[/C][C]1.48666131864579[/C][/ROW]
[ROW][C]0.7[/C][C]131.962479420646[/C][C]1.63919394522421[/C][/ROW]
[ROW][C]0.71[/C][C]132.334404349419[/C][C]1.78850410185872[/C][/ROW]
[ROW][C]0.72[/C][C]132.737067238845[/C][C]1.91676049326906[/C][/ROW]
[ROW][C]0.73[/C][C]133.165061293829[/C][C]2.00844264276093[/C][/ROW]
[ROW][C]0.74[/C][C]133.610328625536[/C][C]2.05264532197539[/C][/ROW]
[ROW][C]0.75[/C][C]134.063353139877[/C][C]2.04539662664637[/C][/ROW]
[ROW][C]0.76[/C][C]134.514675729085[/C][C]1.99048969454844[/C][/ROW]
[ROW][C]0.77[/C][C]134.956429282266[/C][C]1.89884519554485[/C][/ROW]
[ROW][C]0.78[/C][C]135.383548057976[/C][C]1.78700599300704[/C][/ROW]
[ROW][C]0.79[/C][C]135.794342691526[/C][C]1.67313034298886[/C][/ROW]
[ROW][C]0.8[/C][C]136.190253625321[/C][C]1.57356486637835[/C][/ROW]
[ROW][C]0.81[/C][C]136.574786831589[/C][C]1.49791745488697[/C][/ROW]
[ROW][C]0.82[/C][C]136.95186032718[/C][C]1.44627122903665[/C][/ROW]
[ROW][C]0.83[/C][C]137.323993110561[/C][C]1.40887893808988[/C][/ROW]
[ROW][C]0.84[/C][C]137.690881031666[/C][C]1.3694816592494[/C][/ROW]
[ROW][C]0.85[/C][C]138.048858668722[/C][C]1.31177636480549[/C][/ROW]
[ROW][C]0.86[/C][C]138.391504775395[/C][C]1.2242570013148[/C][/ROW]
[ROW][C]0.87[/C][C]138.711245537748[/C][C]1.10500695908888[/C][/ROW]
[ROW][C]0.88[/C][C]139.001381752501[/C][C]0.961909883217229[/C][/ROW]
[ROW][C]0.89[/C][C]139.257732001948[/C][C]0.809626753084518[/C][/ROW]
[ROW][C]0.9[/C][C]139.479241027289[/C][C]0.663648519579683[/C][/ROW]
[ROW][C]0.91[/C][C]139.667463069168[/C][C]0.534607854458324[/C][/ROW]
[ROW][C]0.92[/C][C]139.825507633118[/C][C]0.425038340500682[/C][/ROW]
[ROW][C]0.93[/C][C]139.957337437762[/C][C]0.332429265637696[/C][/ROW]
[ROW][C]0.94[/C][C]140.067911309631[/C][C]0.255732196368395[/C][/ROW]
[ROW][C]0.95[/C][C]140.163877249597[/C][C]0.198517545895903[/C][/ROW]
[ROW][C]0.96[/C][C]140.25422050158[/C][C]0.164608823385828[/C][/ROW]
[ROW][C]0.97[/C][C]140.350444835863[/C][C]0.152279116789271[/C][/ROW]
[ROW][C]0.98[/C][C]140.463478954867[/C][C]0.163785185090108[/C][/ROW]
[ROW][C]0.99[/C][C]140.588352492725[/C][C]0.207794467284832[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238436&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238436&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
0.01109.4691967750061.00809921231565
0.02109.990527929430.569345776179787
0.03110.3509974783930.287927993363697
0.04110.5501106324220.175993246543222
0.05110.6645034242870.163630480439876
0.06110.7499537412770.186011805294498
0.07110.8325865343530.222769519857269
0.08110.9243520921860.282876129825363
0.09111.0344776097830.383931833278479
0.1111.1735750224460.535393847252642
0.11111.3528025247340.731243365731955
0.12111.580635888090.949887463983991
0.13111.8594298289241.15993565625467
0.14112.1834499036291.32719237768376
0.15112.5392623833221.42486976878237
0.16112.9084110488841.44079915245983
0.17113.2714985317011.38024020062144
0.18113.6123993290591.26454144273524
0.19113.9214437496121.12561367204377
0.2114.1968919790380.999255633180404
0.21114.4446093592540.919987689512953
0.22114.6763222201920.914088999145842
0.23114.9070612707850.990830758325228
0.24115.1524015448591.14085983887481
0.25115.4259766713751.34288439194182
0.26115.737579227311.57219431835316
0.27116.0920163279811.80343549138154
0.28116.4887815097912.01257338126429
0.29116.9225148773032.17979175324855
0.3117.3841375004852.29178347897625
0.31117.8624622809432.34348012003093
0.32118.3460163754542.3385916428189
0.33118.8247795405462.28908349692681
0.34119.2915618792352.21239589004937
0.35119.7428135554822.12972784040315
0.36120.1787647140862.06179273014995
0.37120.6029141237282.02493405859744
0.38121.0209960881572.02825217110885
0.39121.4396369350472.0717529465665
0.4121.8649521820922.14664732664072
0.41122.3013291204242.23776895494628
0.42122.750591112152.32766577090006
0.43123.2116604014672.39908742037519
0.44123.6807415998682.43899385581898
0.45124.1519561548782.43854656832935
0.46124.6182855884882.39507587978639
0.47125.0726399526372.31195150698698
0.48125.5088626856322.19719064123317
0.49125.9225112444762.06272342096579
0.5126.311305751771.92146572127682
0.51126.6752032128261.78594782993665
0.52127.0161200881471.66686655421328
0.53127.3373808025031.5711205950186
0.54127.6430073051261.50073121712319
0.55127.9369818696671.4531874901284
0.56128.2226117321261.42235996894137
0.57128.5021018909081.39993125256297
0.58128.7764050531781.37800164328689
0.59129.0453703319231.34984771365513
0.6129.3081611751621.31236257350882
0.61129.563865333861.26624796219706
0.62129.8121827393631.21612357622794
0.63130.0540572325761.17007037606758
0.64130.2921192812031.13923804027092
0.65130.5308303288661.13479970025696
0.66130.7762632801571.16648598206332
0.67131.0355129505681.23843574554773
0.68131.3157976744681.34822155463821
0.69131.6233790371841.48666131864579
0.7131.9624794206461.63919394522421
0.71132.3344043494191.78850410185872
0.72132.7370672388451.91676049326906
0.73133.1650612938292.00844264276093
0.74133.6103286255362.05264532197539
0.75134.0633531398772.04539662664637
0.76134.5146757290851.99048969454844
0.77134.9564292822661.89884519554485
0.78135.3835480579761.78700599300704
0.79135.7943426915261.67313034298886
0.8136.1902536253211.57356486637835
0.81136.5747868315891.49791745488697
0.82136.951860327181.44627122903665
0.83137.3239931105611.40887893808988
0.84137.6908810316661.3694816592494
0.85138.0488586687221.31177636480549
0.86138.3915047753951.2242570013148
0.87138.7112455377481.10500695908888
0.88139.0013817525010.961909883217229
0.89139.2577320019480.809626753084518
0.9139.4792410272890.663648519579683
0.91139.6674630691680.534607854458324
0.92139.8255076331180.425038340500682
0.93139.9573374377620.332429265637696
0.94140.0679113096310.255732196368395
0.95140.1638772495970.198517545895903
0.96140.254220501580.164608823385828
0.97140.3504448358630.152279116789271
0.98140.4634789548670.163785185090108
0.99140.5883524927250.207794467284832


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')