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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 computationSat, 05 Mar 2016 12:40:29 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Mar/05/t14571816548jetyrom9euw8t5.htm/, Retrieved Sat, 27 Apr 2024 09:59:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293460, Retrieved Sat, 27 Apr 2024 09:59:39 +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] [] [2016-02-27 18:59:57] [b645833c54bd2f130859241aaeaa0537]
- R P     [Harrell-Davis Quantiles] [] [2016-03-05 12:40:29] [d992272e6b10691b6ed213356daa79d7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.46
91.73
91.73
91.73
91.73
91.73
91.73
91.73
91.73
91.73
91.73
91.73
91.73
86.87
86.87
86.87
86.87
86.87
86.87
86.87
86.87
86.87
86.87
86.87
86.87
89.81
89.81
89.81
89.81
89.81
89.81
89.81
89.81
89.81
89.81
89.81
89.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
94.81
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.01
95.57
95.57
95.57
95.57
95.57
95.57
95.57
95.57
95.57
95.57
95.57
95.57
98.56
98.56
98.56
98.56
98.56
98.56
98.56
98.56
98.56
98.56
98.56
98.56
100.13
100.13
100.13
100.13
100.13
100.13
100.13
100.13
100.13
100.13
100.13
100.13
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86
101.86

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'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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293460&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293460&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293460&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.87001814204399.98722422604588e-05
0.0286.87033055498090.00164789199729757
0.0386.87270118678910.0114603397993876
0.0486.88369775627850.0488874625864946
0.0586.9194504258090.146484839208185
0.0687.00733259338410.332771537908018
0.0787.17871478500760.601239239527977
0.0887.45289336040070.893063354198889
0.0987.82175163352021.11783320529336
0.188.24728205365791.20252534551566
0.1188.67547184888061.13182622284851
0.1289.05806524947780.951686589752555
0.1389.36926135609170.739563254032886
0.1489.60984298436960.569792276820665
0.1589.80002971453780.491234609517245
0.1689.96745350284270.510308144536211
0.1790.13639880776690.591275175705348
0.1890.32147484877570.688427965081663
0.1990.52612931912330.766558865259329
0.290.74493793142730.805200555313649
0.2190.96807460783750.800974142124185
0.2291.18626310254410.766968014134272
0.2391.39467843608280.728087650689102
0.2491.59474804282260.713251886211303
0.2591.79353812691430.744483041143366
0.2692.00117693666180.825862601593146
0.2792.2273112270950.942349639089874
0.2892.47777132842861.06792566080441
0.2992.75243439015041.17376254952129
0.393.0448280634681.23539436199998
0.3193.34346157325211.23773371905499
0.3293.63437298162241.17782867099106
0.3393.90408249951241.06455433885769
0.3494.1421198259490.915271534737888
0.3594.34253099311850.75090721168646
0.3694.50415823227080.590896108124889
0.3794.62987209190110.449757910412034
0.3894.72518825175460.335714787836344
0.3994.7967644437610.25084237297822
0.494.85116957979570.192879106910827
0.4194.89412487848210.157223409939859
0.4294.93022243415740.138634823793514
0.4394.96299223668580.132811228510943
0.4494.99513757843750.136936861587097
0.4595.02878143967830.149318872400413
0.4695.06563447762370.16835569704267
0.4795.10707550101880.192565156706683
0.4895.15419893745020.22024997188459
0.4995.20791095206340.250515352693193
0.595.26913823861160.283898949294291
0.5195.33915596453430.322940255550574
0.5295.4199623451280.372423768838657
0.5395.51455615750180.438314942849383
0.5495.6269432796820.525617591283166
0.5595.7617347274670.635797513592425
0.5695.92330737488440.764982184486578
0.5796.11465655019270.903395855227844
0.5896.33622597179841.03638253544263
0.5996.58508989317981.14736839083083
0.696.85483075249561.22085563692744
0.6197.13628746285261.24695956556206
0.6297.41908398237361.22387693142573
0.6397.69357287095461.15896710747291
0.6497.95265016186041.06733378443552
0.6598.19289638161120.968056380816893
0.6698.41469149229130.879458066701273
0.6798.62128130693610.813829897521903
0.6898.81712576524310.773596501506284
0.6999.00610770760230.751340571921148
0.799.19023088695730.73413981616947
0.7199.36926341894330.71011884954556
0.7299.54144193892430.673250900865752
0.7399.70495703937220.625455641728526
0.7499.85962805905970.576710559452811
0.75100.0080574135340.541977178802099
0.76100.1556856386350.535352496997433
0.77100.309528180420.562399952930154
0.78100.4758694064720.614502198359872
0.79100.6576605432630.672142964232128
0.8100.8526234513470.71178724358686
0.81101.0529372027630.71383561099079
0.82101.246842506850.668692205862188
0.83101.4217130350910.579784707555471
0.84101.5674726188710.462083612665053
0.85101.6790560312580.336490420300824
0.86101.7570578143640.22257388507362
0.87101.8065602067470.132895612804919
0.88101.8349020487560.0710872685646871
0.89101.8494370959760.0338074014556484
0.9101.8560592110770.0141519354930621
0.91101.8587132307660.00514318026021008
0.92101.8596378841720.00160519638694455
0.93101.8599138433630.00042586842918937
0.94101.859983093529.82773298129315e-05
0.95101.8599973540613.27591099376438e-05
0.96101.8599996852480
0.97101.8599999736060
0.98101.8599999986380
0.99101.8599999999690

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.8700181420439 & 9.98722422604588e-05 \tabularnewline
0.02 & 86.8703305549809 & 0.00164789199729757 \tabularnewline
0.03 & 86.8727011867891 & 0.0114603397993876 \tabularnewline
0.04 & 86.8836977562785 & 0.0488874625864946 \tabularnewline
0.05 & 86.919450425809 & 0.146484839208185 \tabularnewline
0.06 & 87.0073325933841 & 0.332771537908018 \tabularnewline
0.07 & 87.1787147850076 & 0.601239239527977 \tabularnewline
0.08 & 87.4528933604007 & 0.893063354198889 \tabularnewline
0.09 & 87.8217516335202 & 1.11783320529336 \tabularnewline
0.1 & 88.2472820536579 & 1.20252534551566 \tabularnewline
0.11 & 88.6754718488806 & 1.13182622284851 \tabularnewline
0.12 & 89.0580652494778 & 0.951686589752555 \tabularnewline
0.13 & 89.3692613560917 & 0.739563254032886 \tabularnewline
0.14 & 89.6098429843696 & 0.569792276820665 \tabularnewline
0.15 & 89.8000297145378 & 0.491234609517245 \tabularnewline
0.16 & 89.9674535028427 & 0.510308144536211 \tabularnewline
0.17 & 90.1363988077669 & 0.591275175705348 \tabularnewline
0.18 & 90.3214748487757 & 0.688427965081663 \tabularnewline
0.19 & 90.5261293191233 & 0.766558865259329 \tabularnewline
0.2 & 90.7449379314273 & 0.805200555313649 \tabularnewline
0.21 & 90.9680746078375 & 0.800974142124185 \tabularnewline
0.22 & 91.1862631025441 & 0.766968014134272 \tabularnewline
0.23 & 91.3946784360828 & 0.728087650689102 \tabularnewline
0.24 & 91.5947480428226 & 0.713251886211303 \tabularnewline
0.25 & 91.7935381269143 & 0.744483041143366 \tabularnewline
0.26 & 92.0011769366618 & 0.825862601593146 \tabularnewline
0.27 & 92.227311227095 & 0.942349639089874 \tabularnewline
0.28 & 92.4777713284286 & 1.06792566080441 \tabularnewline
0.29 & 92.7524343901504 & 1.17376254952129 \tabularnewline
0.3 & 93.044828063468 & 1.23539436199998 \tabularnewline
0.31 & 93.3434615732521 & 1.23773371905499 \tabularnewline
0.32 & 93.6343729816224 & 1.17782867099106 \tabularnewline
0.33 & 93.9040824995124 & 1.06455433885769 \tabularnewline
0.34 & 94.142119825949 & 0.915271534737888 \tabularnewline
0.35 & 94.3425309931185 & 0.75090721168646 \tabularnewline
0.36 & 94.5041582322708 & 0.590896108124889 \tabularnewline
0.37 & 94.6298720919011 & 0.449757910412034 \tabularnewline
0.38 & 94.7251882517546 & 0.335714787836344 \tabularnewline
0.39 & 94.796764443761 & 0.25084237297822 \tabularnewline
0.4 & 94.8511695797957 & 0.192879106910827 \tabularnewline
0.41 & 94.8941248784821 & 0.157223409939859 \tabularnewline
0.42 & 94.9302224341574 & 0.138634823793514 \tabularnewline
0.43 & 94.9629922366858 & 0.132811228510943 \tabularnewline
0.44 & 94.9951375784375 & 0.136936861587097 \tabularnewline
0.45 & 95.0287814396783 & 0.149318872400413 \tabularnewline
0.46 & 95.0656344776237 & 0.16835569704267 \tabularnewline
0.47 & 95.1070755010188 & 0.192565156706683 \tabularnewline
0.48 & 95.1541989374502 & 0.22024997188459 \tabularnewline
0.49 & 95.2079109520634 & 0.250515352693193 \tabularnewline
0.5 & 95.2691382386116 & 0.283898949294291 \tabularnewline
0.51 & 95.3391559645343 & 0.322940255550574 \tabularnewline
0.52 & 95.419962345128 & 0.372423768838657 \tabularnewline
0.53 & 95.5145561575018 & 0.438314942849383 \tabularnewline
0.54 & 95.626943279682 & 0.525617591283166 \tabularnewline
0.55 & 95.761734727467 & 0.635797513592425 \tabularnewline
0.56 & 95.9233073748844 & 0.764982184486578 \tabularnewline
0.57 & 96.1146565501927 & 0.903395855227844 \tabularnewline
0.58 & 96.3362259717984 & 1.03638253544263 \tabularnewline
0.59 & 96.5850898931798 & 1.14736839083083 \tabularnewline
0.6 & 96.8548307524956 & 1.22085563692744 \tabularnewline
0.61 & 97.1362874628526 & 1.24695956556206 \tabularnewline
0.62 & 97.4190839823736 & 1.22387693142573 \tabularnewline
0.63 & 97.6935728709546 & 1.15896710747291 \tabularnewline
0.64 & 97.9526501618604 & 1.06733378443552 \tabularnewline
0.65 & 98.1928963816112 & 0.968056380816893 \tabularnewline
0.66 & 98.4146914922913 & 0.879458066701273 \tabularnewline
0.67 & 98.6212813069361 & 0.813829897521903 \tabularnewline
0.68 & 98.8171257652431 & 0.773596501506284 \tabularnewline
0.69 & 99.0061077076023 & 0.751340571921148 \tabularnewline
0.7 & 99.1902308869573 & 0.73413981616947 \tabularnewline
0.71 & 99.3692634189433 & 0.71011884954556 \tabularnewline
0.72 & 99.5414419389243 & 0.673250900865752 \tabularnewline
0.73 & 99.7049570393722 & 0.625455641728526 \tabularnewline
0.74 & 99.8596280590597 & 0.576710559452811 \tabularnewline
0.75 & 100.008057413534 & 0.541977178802099 \tabularnewline
0.76 & 100.155685638635 & 0.535352496997433 \tabularnewline
0.77 & 100.30952818042 & 0.562399952930154 \tabularnewline
0.78 & 100.475869406472 & 0.614502198359872 \tabularnewline
0.79 & 100.657660543263 & 0.672142964232128 \tabularnewline
0.8 & 100.852623451347 & 0.71178724358686 \tabularnewline
0.81 & 101.052937202763 & 0.71383561099079 \tabularnewline
0.82 & 101.24684250685 & 0.668692205862188 \tabularnewline
0.83 & 101.421713035091 & 0.579784707555471 \tabularnewline
0.84 & 101.567472618871 & 0.462083612665053 \tabularnewline
0.85 & 101.679056031258 & 0.336490420300824 \tabularnewline
0.86 & 101.757057814364 & 0.22257388507362 \tabularnewline
0.87 & 101.806560206747 & 0.132895612804919 \tabularnewline
0.88 & 101.834902048756 & 0.0710872685646871 \tabularnewline
0.89 & 101.849437095976 & 0.0338074014556484 \tabularnewline
0.9 & 101.856059211077 & 0.0141519354930621 \tabularnewline
0.91 & 101.858713230766 & 0.00514318026021008 \tabularnewline
0.92 & 101.859637884172 & 0.00160519638694455 \tabularnewline
0.93 & 101.859913843363 & 0.00042586842918937 \tabularnewline
0.94 & 101.85998309352 & 9.82773298129315e-05 \tabularnewline
0.95 & 101.859997354061 & 3.27591099376438e-05 \tabularnewline
0.96 & 101.859999685248 & 0 \tabularnewline
0.97 & 101.859999973606 & 0 \tabularnewline
0.98 & 101.859999998638 & 0 \tabularnewline
0.99 & 101.859999999969 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293460&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]86.8700181420439[/C][C]9.98722422604588e-05[/C][/ROW]
[ROW][C]0.02[/C][C]86.8703305549809[/C][C]0.00164789199729757[/C][/ROW]
[ROW][C]0.03[/C][C]86.8727011867891[/C][C]0.0114603397993876[/C][/ROW]
[ROW][C]0.04[/C][C]86.8836977562785[/C][C]0.0488874625864946[/C][/ROW]
[ROW][C]0.05[/C][C]86.919450425809[/C][C]0.146484839208185[/C][/ROW]
[ROW][C]0.06[/C][C]87.0073325933841[/C][C]0.332771537908018[/C][/ROW]
[ROW][C]0.07[/C][C]87.1787147850076[/C][C]0.601239239527977[/C][/ROW]
[ROW][C]0.08[/C][C]87.4528933604007[/C][C]0.893063354198889[/C][/ROW]
[ROW][C]0.09[/C][C]87.8217516335202[/C][C]1.11783320529336[/C][/ROW]
[ROW][C]0.1[/C][C]88.2472820536579[/C][C]1.20252534551566[/C][/ROW]
[ROW][C]0.11[/C][C]88.6754718488806[/C][C]1.13182622284851[/C][/ROW]
[ROW][C]0.12[/C][C]89.0580652494778[/C][C]0.951686589752555[/C][/ROW]
[ROW][C]0.13[/C][C]89.3692613560917[/C][C]0.739563254032886[/C][/ROW]
[ROW][C]0.14[/C][C]89.6098429843696[/C][C]0.569792276820665[/C][/ROW]
[ROW][C]0.15[/C][C]89.8000297145378[/C][C]0.491234609517245[/C][/ROW]
[ROW][C]0.16[/C][C]89.9674535028427[/C][C]0.510308144536211[/C][/ROW]
[ROW][C]0.17[/C][C]90.1363988077669[/C][C]0.591275175705348[/C][/ROW]
[ROW][C]0.18[/C][C]90.3214748487757[/C][C]0.688427965081663[/C][/ROW]
[ROW][C]0.19[/C][C]90.5261293191233[/C][C]0.766558865259329[/C][/ROW]
[ROW][C]0.2[/C][C]90.7449379314273[/C][C]0.805200555313649[/C][/ROW]
[ROW][C]0.21[/C][C]90.9680746078375[/C][C]0.800974142124185[/C][/ROW]
[ROW][C]0.22[/C][C]91.1862631025441[/C][C]0.766968014134272[/C][/ROW]
[ROW][C]0.23[/C][C]91.3946784360828[/C][C]0.728087650689102[/C][/ROW]
[ROW][C]0.24[/C][C]91.5947480428226[/C][C]0.713251886211303[/C][/ROW]
[ROW][C]0.25[/C][C]91.7935381269143[/C][C]0.744483041143366[/C][/ROW]
[ROW][C]0.26[/C][C]92.0011769366618[/C][C]0.825862601593146[/C][/ROW]
[ROW][C]0.27[/C][C]92.227311227095[/C][C]0.942349639089874[/C][/ROW]
[ROW][C]0.28[/C][C]92.4777713284286[/C][C]1.06792566080441[/C][/ROW]
[ROW][C]0.29[/C][C]92.7524343901504[/C][C]1.17376254952129[/C][/ROW]
[ROW][C]0.3[/C][C]93.044828063468[/C][C]1.23539436199998[/C][/ROW]
[ROW][C]0.31[/C][C]93.3434615732521[/C][C]1.23773371905499[/C][/ROW]
[ROW][C]0.32[/C][C]93.6343729816224[/C][C]1.17782867099106[/C][/ROW]
[ROW][C]0.33[/C][C]93.9040824995124[/C][C]1.06455433885769[/C][/ROW]
[ROW][C]0.34[/C][C]94.142119825949[/C][C]0.915271534737888[/C][/ROW]
[ROW][C]0.35[/C][C]94.3425309931185[/C][C]0.75090721168646[/C][/ROW]
[ROW][C]0.36[/C][C]94.5041582322708[/C][C]0.590896108124889[/C][/ROW]
[ROW][C]0.37[/C][C]94.6298720919011[/C][C]0.449757910412034[/C][/ROW]
[ROW][C]0.38[/C][C]94.7251882517546[/C][C]0.335714787836344[/C][/ROW]
[ROW][C]0.39[/C][C]94.796764443761[/C][C]0.25084237297822[/C][/ROW]
[ROW][C]0.4[/C][C]94.8511695797957[/C][C]0.192879106910827[/C][/ROW]
[ROW][C]0.41[/C][C]94.8941248784821[/C][C]0.157223409939859[/C][/ROW]
[ROW][C]0.42[/C][C]94.9302224341574[/C][C]0.138634823793514[/C][/ROW]
[ROW][C]0.43[/C][C]94.9629922366858[/C][C]0.132811228510943[/C][/ROW]
[ROW][C]0.44[/C][C]94.9951375784375[/C][C]0.136936861587097[/C][/ROW]
[ROW][C]0.45[/C][C]95.0287814396783[/C][C]0.149318872400413[/C][/ROW]
[ROW][C]0.46[/C][C]95.0656344776237[/C][C]0.16835569704267[/C][/ROW]
[ROW][C]0.47[/C][C]95.1070755010188[/C][C]0.192565156706683[/C][/ROW]
[ROW][C]0.48[/C][C]95.1541989374502[/C][C]0.22024997188459[/C][/ROW]
[ROW][C]0.49[/C][C]95.2079109520634[/C][C]0.250515352693193[/C][/ROW]
[ROW][C]0.5[/C][C]95.2691382386116[/C][C]0.283898949294291[/C][/ROW]
[ROW][C]0.51[/C][C]95.3391559645343[/C][C]0.322940255550574[/C][/ROW]
[ROW][C]0.52[/C][C]95.419962345128[/C][C]0.372423768838657[/C][/ROW]
[ROW][C]0.53[/C][C]95.5145561575018[/C][C]0.438314942849383[/C][/ROW]
[ROW][C]0.54[/C][C]95.626943279682[/C][C]0.525617591283166[/C][/ROW]
[ROW][C]0.55[/C][C]95.761734727467[/C][C]0.635797513592425[/C][/ROW]
[ROW][C]0.56[/C][C]95.9233073748844[/C][C]0.764982184486578[/C][/ROW]
[ROW][C]0.57[/C][C]96.1146565501927[/C][C]0.903395855227844[/C][/ROW]
[ROW][C]0.58[/C][C]96.3362259717984[/C][C]1.03638253544263[/C][/ROW]
[ROW][C]0.59[/C][C]96.5850898931798[/C][C]1.14736839083083[/C][/ROW]
[ROW][C]0.6[/C][C]96.8548307524956[/C][C]1.22085563692744[/C][/ROW]
[ROW][C]0.61[/C][C]97.1362874628526[/C][C]1.24695956556206[/C][/ROW]
[ROW][C]0.62[/C][C]97.4190839823736[/C][C]1.22387693142573[/C][/ROW]
[ROW][C]0.63[/C][C]97.6935728709546[/C][C]1.15896710747291[/C][/ROW]
[ROW][C]0.64[/C][C]97.9526501618604[/C][C]1.06733378443552[/C][/ROW]
[ROW][C]0.65[/C][C]98.1928963816112[/C][C]0.968056380816893[/C][/ROW]
[ROW][C]0.66[/C][C]98.4146914922913[/C][C]0.879458066701273[/C][/ROW]
[ROW][C]0.67[/C][C]98.6212813069361[/C][C]0.813829897521903[/C][/ROW]
[ROW][C]0.68[/C][C]98.8171257652431[/C][C]0.773596501506284[/C][/ROW]
[ROW][C]0.69[/C][C]99.0061077076023[/C][C]0.751340571921148[/C][/ROW]
[ROW][C]0.7[/C][C]99.1902308869573[/C][C]0.73413981616947[/C][/ROW]
[ROW][C]0.71[/C][C]99.3692634189433[/C][C]0.71011884954556[/C][/ROW]
[ROW][C]0.72[/C][C]99.5414419389243[/C][C]0.673250900865752[/C][/ROW]
[ROW][C]0.73[/C][C]99.7049570393722[/C][C]0.625455641728526[/C][/ROW]
[ROW][C]0.74[/C][C]99.8596280590597[/C][C]0.576710559452811[/C][/ROW]
[ROW][C]0.75[/C][C]100.008057413534[/C][C]0.541977178802099[/C][/ROW]
[ROW][C]0.76[/C][C]100.155685638635[/C][C]0.535352496997433[/C][/ROW]
[ROW][C]0.77[/C][C]100.30952818042[/C][C]0.562399952930154[/C][/ROW]
[ROW][C]0.78[/C][C]100.475869406472[/C][C]0.614502198359872[/C][/ROW]
[ROW][C]0.79[/C][C]100.657660543263[/C][C]0.672142964232128[/C][/ROW]
[ROW][C]0.8[/C][C]100.852623451347[/C][C]0.71178724358686[/C][/ROW]
[ROW][C]0.81[/C][C]101.052937202763[/C][C]0.71383561099079[/C][/ROW]
[ROW][C]0.82[/C][C]101.24684250685[/C][C]0.668692205862188[/C][/ROW]
[ROW][C]0.83[/C][C]101.421713035091[/C][C]0.579784707555471[/C][/ROW]
[ROW][C]0.84[/C][C]101.567472618871[/C][C]0.462083612665053[/C][/ROW]
[ROW][C]0.85[/C][C]101.679056031258[/C][C]0.336490420300824[/C][/ROW]
[ROW][C]0.86[/C][C]101.757057814364[/C][C]0.22257388507362[/C][/ROW]
[ROW][C]0.87[/C][C]101.806560206747[/C][C]0.132895612804919[/C][/ROW]
[ROW][C]0.88[/C][C]101.834902048756[/C][C]0.0710872685646871[/C][/ROW]
[ROW][C]0.89[/C][C]101.849437095976[/C][C]0.0338074014556484[/C][/ROW]
[ROW][C]0.9[/C][C]101.856059211077[/C][C]0.0141519354930621[/C][/ROW]
[ROW][C]0.91[/C][C]101.858713230766[/C][C]0.00514318026021008[/C][/ROW]
[ROW][C]0.92[/C][C]101.859637884172[/C][C]0.00160519638694455[/C][/ROW]
[ROW][C]0.93[/C][C]101.859913843363[/C][C]0.00042586842918937[/C][/ROW]
[ROW][C]0.94[/C][C]101.85998309352[/C][C]9.82773298129315e-05[/C][/ROW]
[ROW][C]0.95[/C][C]101.859997354061[/C][C]3.27591099376438e-05[/C][/ROW]
[ROW][C]0.96[/C][C]101.859999685248[/C][C]0[/C][/ROW]
[ROW][C]0.97[/C][C]101.859999973606[/C][C]0[/C][/ROW]
[ROW][C]0.98[/C][C]101.859999998638[/C][C]0[/C][/ROW]
[ROW][C]0.99[/C][C]101.859999999969[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293460&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293460&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
0.0186.87001814204399.98722422604588e-05
0.0286.87033055498090.00164789199729757
0.0386.87270118678910.0114603397993876
0.0486.88369775627850.0488874625864946
0.0586.9194504258090.146484839208185
0.0687.00733259338410.332771537908018
0.0787.17871478500760.601239239527977
0.0887.45289336040070.893063354198889
0.0987.82175163352021.11783320529336
0.188.24728205365791.20252534551566
0.1188.67547184888061.13182622284851
0.1289.05806524947780.951686589752555
0.1389.36926135609170.739563254032886
0.1489.60984298436960.569792276820665
0.1589.80002971453780.491234609517245
0.1689.96745350284270.510308144536211
0.1790.13639880776690.591275175705348
0.1890.32147484877570.688427965081663
0.1990.52612931912330.766558865259329
0.290.74493793142730.805200555313649
0.2190.96807460783750.800974142124185
0.2291.18626310254410.766968014134272
0.2391.39467843608280.728087650689102
0.2491.59474804282260.713251886211303
0.2591.79353812691430.744483041143366
0.2692.00117693666180.825862601593146
0.2792.2273112270950.942349639089874
0.2892.47777132842861.06792566080441
0.2992.75243439015041.17376254952129
0.393.0448280634681.23539436199998
0.3193.34346157325211.23773371905499
0.3293.63437298162241.17782867099106
0.3393.90408249951241.06455433885769
0.3494.1421198259490.915271534737888
0.3594.34253099311850.75090721168646
0.3694.50415823227080.590896108124889
0.3794.62987209190110.449757910412034
0.3894.72518825175460.335714787836344
0.3994.7967644437610.25084237297822
0.494.85116957979570.192879106910827
0.4194.89412487848210.157223409939859
0.4294.93022243415740.138634823793514
0.4394.96299223668580.132811228510943
0.4494.99513757843750.136936861587097
0.4595.02878143967830.149318872400413
0.4695.06563447762370.16835569704267
0.4795.10707550101880.192565156706683
0.4895.15419893745020.22024997188459
0.4995.20791095206340.250515352693193
0.595.26913823861160.283898949294291
0.5195.33915596453430.322940255550574
0.5295.4199623451280.372423768838657
0.5395.51455615750180.438314942849383
0.5495.6269432796820.525617591283166
0.5595.7617347274670.635797513592425
0.5695.92330737488440.764982184486578
0.5796.11465655019270.903395855227844
0.5896.33622597179841.03638253544263
0.5996.58508989317981.14736839083083
0.696.85483075249561.22085563692744
0.6197.13628746285261.24695956556206
0.6297.41908398237361.22387693142573
0.6397.69357287095461.15896710747291
0.6497.95265016186041.06733378443552
0.6598.19289638161120.968056380816893
0.6698.41469149229130.879458066701273
0.6798.62128130693610.813829897521903
0.6898.81712576524310.773596501506284
0.6999.00610770760230.751340571921148
0.799.19023088695730.73413981616947
0.7199.36926341894330.71011884954556
0.7299.54144193892430.673250900865752
0.7399.70495703937220.625455641728526
0.7499.85962805905970.576710559452811
0.75100.0080574135340.541977178802099
0.76100.1556856386350.535352496997433
0.77100.309528180420.562399952930154
0.78100.4758694064720.614502198359872
0.79100.6576605432630.672142964232128
0.8100.8526234513470.71178724358686
0.81101.0529372027630.71383561099079
0.82101.246842506850.668692205862188
0.83101.4217130350910.579784707555471
0.84101.5674726188710.462083612665053
0.85101.6790560312580.336490420300824
0.86101.7570578143640.22257388507362
0.87101.8065602067470.132895612804919
0.88101.8349020487560.0710872685646871
0.89101.8494370959760.0338074014556484
0.9101.8560592110770.0141519354930621
0.91101.8587132307660.00514318026021008
0.92101.8596378841720.00160519638694455
0.93101.8599138433630.00042586842918937
0.94101.859983093529.82773298129315e-05
0.95101.8599973540613.27591099376438e-05
0.96101.8599996852480
0.97101.8599999736060
0.98101.8599999986380
0.99101.8599999999690


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')