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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 computationThu, 09 Oct 2014 18:07:24 +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/09/t1412874457ibgp6l0gmea4xzg.htm/, Retrieved Sat, 11 May 2024 07:39:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=240121, Retrieved Sat, 11 May 2024 07:39:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

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] [] [2014-10-09 17:07:24] [81bcec4b91879990466572cf43afb80d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.26
79.38
79.35
78.91
79.11
79.22
79.22
79.21
79.26
79.82
80.04
80.2
80.2
80.27
80.37
80.57
79.99
79.86
79.86
79.81
79.88
80.2
80.53
80.52
80.52
80.48
80.29
79.54
79.39
79.3
79.3
79.49
79.63
79.74
80.17
80.06
80.06
80.22
80.5
80.58
80.24
80.34
80.34
80.41
80.59
80.77
80.94
80.8
80.8
80.76
80.94
81.03
81.35
81.41
81.41
81.44
81.55
81.8
81.97
81.99
79.36
79.44
79.46
79.77
79.49
79.42
80.32
80.48
80.6
80.53
80.84
80.68

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=240121&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]1 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=240121&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240121&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 time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0178.96802505053370.166956024797701
0.0279.04742270615190.125726999905893
0.0379.11738582613630.0887546559710134
0.0479.16753908033220.06178583600677
0.0579.20089644359180.0458624809228071
0.0679.22382634885180.039636835627897
0.0779.24147750008040.0396942808301816
0.0879.25696937552250.0424255538441005
0.0979.27186679842190.0457449675312613
0.179.28680490806560.0490656810941635
0.1179.3019526219870.0518487938025158
0.1279.31729268398750.0542216506576922
0.1379.33277042715660.0563471845076209
0.1479.34836610655630.0584133068691411
0.1579.36412737803930.0608713409185801
0.1679.38018013278170.0641755062417476
0.1779.39672480274040.0686719823788152
0.1879.41402085175950.0745066951490302
0.1979.43236135690930.0819908807219582
0.279.45204006548590.0908632500351545
0.2179.47331421765670.100954075842881
0.2279.49636755939410.111822390851405
0.2379.52127903219310.122740834607138
0.2479.54800299267650.133078460408292
0.2579.57636583839350.141970036552359
0.2679.60608135971920.149102043275702
0.2779.63678342250810.153990009261518
0.2879.66807069586250.156634186935889
0.2979.69955525061480.15731655604277
0.379.73090588062870.156469209170729
0.3179.76187825600230.154636845546155
0.3279.79232713108770.152450406276787
0.3379.82219990169390.15035441141945
0.3479.85151473491870.148879164649998
0.3579.88032933096910.147845321107046
0.3679.90870757052570.147118502406417
0.3779.93669079835230.146568934848542
0.3879.96427866258430.145565567928258
0.3979.99142188684760.144021555960579
0.480.018026759520.141648352586986
0.4180.04396901546590.138426477862753
0.4280.06911347487830.134061656096467
0.4380.09333537216430.128936901216468
0.4480.11653964802170.123316455341016
0.4580.13867536877480.117296643625471
0.4680.15974361615680.111392888920952
0.4780.17979840926420.105984555969273
0.4880.19894127732430.101128528433986
0.4980.21731086147240.0973360897893657
0.580.23506932336850.0944194368613936
0.5180.25238738941540.0925179717979911
0.5280.26942963824160.0915188399347515
0.5380.28634126750260.0913346011275577
0.5480.30323718755830.0916976084113199
0.5580.3201939913630.0922940012964002
0.5680.33724519005410.0930193825603318
0.5780.35438005748070.0934273517672143
0.5880.37154640906980.0934344652675463
0.5980.38865754174760.0927906044177076
0.680.40560329671990.0913793163329327
0.6180.42226475502410.0892204276143465
0.6280.4385314975780.0863388965189037
0.6380.45431978385890.082913631147126
0.6480.46958957742310.0792926669743316
0.6580.48435819563790.0756877183437863
0.6680.49870854146840.0726637495676611
0.6780.51279036616020.0705200672657001
0.6880.52681373922690.0696629636596193
0.6980.54103478340720.0702489134176927
0.780.55573471395010.0724623127629745
0.7180.57119428586220.0761807417680198
0.7280.58766687729850.081064873823412
0.7380.60535452395990.0866590214868267
0.7480.62439203113490.0925987442512636
0.7580.64484444666460.0984079440405955
0.7680.66672224114840.10357207534808
0.7780.69001617300730.108184949575636
0.7880.71474994450470.112161784079556
0.7980.74104367274660.116110245791414
0.880.76917556314050.120858202496307
0.8180.79962398487520.12741164855498
0.8280.83306886862130.136825107716084
0.8380.87033217263440.149682087097379
0.8480.91224518646530.165816085348846
0.8580.95944897192380.184110571638701
0.8681.01216450925210.202236096408297
0.8781.07000636004780.217185231312292
0.8881.13194337816680.225800500755381
0.8981.19650805653180.225971621509353
0.981.2622964994880.217679817329992
0.9181.32867211428970.203972449731223
0.9281.39641008359820.19104778999552
0.9381.46786499822610.186236186839796
0.9481.54622128355210.193210835891192
0.9581.63362257368280.206775883091212
0.9681.72856286067210.213120915466667
0.9781.82379860344780.195782732207493
0.9881.9067764940460.145364437457148
0.9981.96420792436950.07293723345368

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 78.9680250505337 & 0.166956024797701 \tabularnewline
0.02 & 79.0474227061519 & 0.125726999905893 \tabularnewline
0.03 & 79.1173858261363 & 0.0887546559710134 \tabularnewline
0.04 & 79.1675390803322 & 0.06178583600677 \tabularnewline
0.05 & 79.2008964435918 & 0.0458624809228071 \tabularnewline
0.06 & 79.2238263488518 & 0.039636835627897 \tabularnewline
0.07 & 79.2414775000804 & 0.0396942808301816 \tabularnewline
0.08 & 79.2569693755225 & 0.0424255538441005 \tabularnewline
0.09 & 79.2718667984219 & 0.0457449675312613 \tabularnewline
0.1 & 79.2868049080656 & 0.0490656810941635 \tabularnewline
0.11 & 79.301952621987 & 0.0518487938025158 \tabularnewline
0.12 & 79.3172926839875 & 0.0542216506576922 \tabularnewline
0.13 & 79.3327704271566 & 0.0563471845076209 \tabularnewline
0.14 & 79.3483661065563 & 0.0584133068691411 \tabularnewline
0.15 & 79.3641273780393 & 0.0608713409185801 \tabularnewline
0.16 & 79.3801801327817 & 0.0641755062417476 \tabularnewline
0.17 & 79.3967248027404 & 0.0686719823788152 \tabularnewline
0.18 & 79.4140208517595 & 0.0745066951490302 \tabularnewline
0.19 & 79.4323613569093 & 0.0819908807219582 \tabularnewline
0.2 & 79.4520400654859 & 0.0908632500351545 \tabularnewline
0.21 & 79.4733142176567 & 0.100954075842881 \tabularnewline
0.22 & 79.4963675593941 & 0.111822390851405 \tabularnewline
0.23 & 79.5212790321931 & 0.122740834607138 \tabularnewline
0.24 & 79.5480029926765 & 0.133078460408292 \tabularnewline
0.25 & 79.5763658383935 & 0.141970036552359 \tabularnewline
0.26 & 79.6060813597192 & 0.149102043275702 \tabularnewline
0.27 & 79.6367834225081 & 0.153990009261518 \tabularnewline
0.28 & 79.6680706958625 & 0.156634186935889 \tabularnewline
0.29 & 79.6995552506148 & 0.15731655604277 \tabularnewline
0.3 & 79.7309058806287 & 0.156469209170729 \tabularnewline
0.31 & 79.7618782560023 & 0.154636845546155 \tabularnewline
0.32 & 79.7923271310877 & 0.152450406276787 \tabularnewline
0.33 & 79.8221999016939 & 0.15035441141945 \tabularnewline
0.34 & 79.8515147349187 & 0.148879164649998 \tabularnewline
0.35 & 79.8803293309691 & 0.147845321107046 \tabularnewline
0.36 & 79.9087075705257 & 0.147118502406417 \tabularnewline
0.37 & 79.9366907983523 & 0.146568934848542 \tabularnewline
0.38 & 79.9642786625843 & 0.145565567928258 \tabularnewline
0.39 & 79.9914218868476 & 0.144021555960579 \tabularnewline
0.4 & 80.01802675952 & 0.141648352586986 \tabularnewline
0.41 & 80.0439690154659 & 0.138426477862753 \tabularnewline
0.42 & 80.0691134748783 & 0.134061656096467 \tabularnewline
0.43 & 80.0933353721643 & 0.128936901216468 \tabularnewline
0.44 & 80.1165396480217 & 0.123316455341016 \tabularnewline
0.45 & 80.1386753687748 & 0.117296643625471 \tabularnewline
0.46 & 80.1597436161568 & 0.111392888920952 \tabularnewline
0.47 & 80.1797984092642 & 0.105984555969273 \tabularnewline
0.48 & 80.1989412773243 & 0.101128528433986 \tabularnewline
0.49 & 80.2173108614724 & 0.0973360897893657 \tabularnewline
0.5 & 80.2350693233685 & 0.0944194368613936 \tabularnewline
0.51 & 80.2523873894154 & 0.0925179717979911 \tabularnewline
0.52 & 80.2694296382416 & 0.0915188399347515 \tabularnewline
0.53 & 80.2863412675026 & 0.0913346011275577 \tabularnewline
0.54 & 80.3032371875583 & 0.0916976084113199 \tabularnewline
0.55 & 80.320193991363 & 0.0922940012964002 \tabularnewline
0.56 & 80.3372451900541 & 0.0930193825603318 \tabularnewline
0.57 & 80.3543800574807 & 0.0934273517672143 \tabularnewline
0.58 & 80.3715464090698 & 0.0934344652675463 \tabularnewline
0.59 & 80.3886575417476 & 0.0927906044177076 \tabularnewline
0.6 & 80.4056032967199 & 0.0913793163329327 \tabularnewline
0.61 & 80.4222647550241 & 0.0892204276143465 \tabularnewline
0.62 & 80.438531497578 & 0.0863388965189037 \tabularnewline
0.63 & 80.4543197838589 & 0.082913631147126 \tabularnewline
0.64 & 80.4695895774231 & 0.0792926669743316 \tabularnewline
0.65 & 80.4843581956379 & 0.0756877183437863 \tabularnewline
0.66 & 80.4987085414684 & 0.0726637495676611 \tabularnewline
0.67 & 80.5127903661602 & 0.0705200672657001 \tabularnewline
0.68 & 80.5268137392269 & 0.0696629636596193 \tabularnewline
0.69 & 80.5410347834072 & 0.0702489134176927 \tabularnewline
0.7 & 80.5557347139501 & 0.0724623127629745 \tabularnewline
0.71 & 80.5711942858622 & 0.0761807417680198 \tabularnewline
0.72 & 80.5876668772985 & 0.081064873823412 \tabularnewline
0.73 & 80.6053545239599 & 0.0866590214868267 \tabularnewline
0.74 & 80.6243920311349 & 0.0925987442512636 \tabularnewline
0.75 & 80.6448444466646 & 0.0984079440405955 \tabularnewline
0.76 & 80.6667222411484 & 0.10357207534808 \tabularnewline
0.77 & 80.6900161730073 & 0.108184949575636 \tabularnewline
0.78 & 80.7147499445047 & 0.112161784079556 \tabularnewline
0.79 & 80.7410436727466 & 0.116110245791414 \tabularnewline
0.8 & 80.7691755631405 & 0.120858202496307 \tabularnewline
0.81 & 80.7996239848752 & 0.12741164855498 \tabularnewline
0.82 & 80.8330688686213 & 0.136825107716084 \tabularnewline
0.83 & 80.8703321726344 & 0.149682087097379 \tabularnewline
0.84 & 80.9122451864653 & 0.165816085348846 \tabularnewline
0.85 & 80.9594489719238 & 0.184110571638701 \tabularnewline
0.86 & 81.0121645092521 & 0.202236096408297 \tabularnewline
0.87 & 81.0700063600478 & 0.217185231312292 \tabularnewline
0.88 & 81.1319433781668 & 0.225800500755381 \tabularnewline
0.89 & 81.1965080565318 & 0.225971621509353 \tabularnewline
0.9 & 81.262296499488 & 0.217679817329992 \tabularnewline
0.91 & 81.3286721142897 & 0.203972449731223 \tabularnewline
0.92 & 81.3964100835982 & 0.19104778999552 \tabularnewline
0.93 & 81.4678649982261 & 0.186236186839796 \tabularnewline
0.94 & 81.5462212835521 & 0.193210835891192 \tabularnewline
0.95 & 81.6336225736828 & 0.206775883091212 \tabularnewline
0.96 & 81.7285628606721 & 0.213120915466667 \tabularnewline
0.97 & 81.8237986034478 & 0.195782732207493 \tabularnewline
0.98 & 81.906776494046 & 0.145364437457148 \tabularnewline
0.99 & 81.9642079243695 & 0.07293723345368 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=240121&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]78.9680250505337[/C][C]0.166956024797701[/C][/ROW]
[ROW][C]0.02[/C][C]79.0474227061519[/C][C]0.125726999905893[/C][/ROW]
[ROW][C]0.03[/C][C]79.1173858261363[/C][C]0.0887546559710134[/C][/ROW]
[ROW][C]0.04[/C][C]79.1675390803322[/C][C]0.06178583600677[/C][/ROW]
[ROW][C]0.05[/C][C]79.2008964435918[/C][C]0.0458624809228071[/C][/ROW]
[ROW][C]0.06[/C][C]79.2238263488518[/C][C]0.039636835627897[/C][/ROW]
[ROW][C]0.07[/C][C]79.2414775000804[/C][C]0.0396942808301816[/C][/ROW]
[ROW][C]0.08[/C][C]79.2569693755225[/C][C]0.0424255538441005[/C][/ROW]
[ROW][C]0.09[/C][C]79.2718667984219[/C][C]0.0457449675312613[/C][/ROW]
[ROW][C]0.1[/C][C]79.2868049080656[/C][C]0.0490656810941635[/C][/ROW]
[ROW][C]0.11[/C][C]79.301952621987[/C][C]0.0518487938025158[/C][/ROW]
[ROW][C]0.12[/C][C]79.3172926839875[/C][C]0.0542216506576922[/C][/ROW]
[ROW][C]0.13[/C][C]79.3327704271566[/C][C]0.0563471845076209[/C][/ROW]
[ROW][C]0.14[/C][C]79.3483661065563[/C][C]0.0584133068691411[/C][/ROW]
[ROW][C]0.15[/C][C]79.3641273780393[/C][C]0.0608713409185801[/C][/ROW]
[ROW][C]0.16[/C][C]79.3801801327817[/C][C]0.0641755062417476[/C][/ROW]
[ROW][C]0.17[/C][C]79.3967248027404[/C][C]0.0686719823788152[/C][/ROW]
[ROW][C]0.18[/C][C]79.4140208517595[/C][C]0.0745066951490302[/C][/ROW]
[ROW][C]0.19[/C][C]79.4323613569093[/C][C]0.0819908807219582[/C][/ROW]
[ROW][C]0.2[/C][C]79.4520400654859[/C][C]0.0908632500351545[/C][/ROW]
[ROW][C]0.21[/C][C]79.4733142176567[/C][C]0.100954075842881[/C][/ROW]
[ROW][C]0.22[/C][C]79.4963675593941[/C][C]0.111822390851405[/C][/ROW]
[ROW][C]0.23[/C][C]79.5212790321931[/C][C]0.122740834607138[/C][/ROW]
[ROW][C]0.24[/C][C]79.5480029926765[/C][C]0.133078460408292[/C][/ROW]
[ROW][C]0.25[/C][C]79.5763658383935[/C][C]0.141970036552359[/C][/ROW]
[ROW][C]0.26[/C][C]79.6060813597192[/C][C]0.149102043275702[/C][/ROW]
[ROW][C]0.27[/C][C]79.6367834225081[/C][C]0.153990009261518[/C][/ROW]
[ROW][C]0.28[/C][C]79.6680706958625[/C][C]0.156634186935889[/C][/ROW]
[ROW][C]0.29[/C][C]79.6995552506148[/C][C]0.15731655604277[/C][/ROW]
[ROW][C]0.3[/C][C]79.7309058806287[/C][C]0.156469209170729[/C][/ROW]
[ROW][C]0.31[/C][C]79.7618782560023[/C][C]0.154636845546155[/C][/ROW]
[ROW][C]0.32[/C][C]79.7923271310877[/C][C]0.152450406276787[/C][/ROW]
[ROW][C]0.33[/C][C]79.8221999016939[/C][C]0.15035441141945[/C][/ROW]
[ROW][C]0.34[/C][C]79.8515147349187[/C][C]0.148879164649998[/C][/ROW]
[ROW][C]0.35[/C][C]79.8803293309691[/C][C]0.147845321107046[/C][/ROW]
[ROW][C]0.36[/C][C]79.9087075705257[/C][C]0.147118502406417[/C][/ROW]
[ROW][C]0.37[/C][C]79.9366907983523[/C][C]0.146568934848542[/C][/ROW]
[ROW][C]0.38[/C][C]79.9642786625843[/C][C]0.145565567928258[/C][/ROW]
[ROW][C]0.39[/C][C]79.9914218868476[/C][C]0.144021555960579[/C][/ROW]
[ROW][C]0.4[/C][C]80.01802675952[/C][C]0.141648352586986[/C][/ROW]
[ROW][C]0.41[/C][C]80.0439690154659[/C][C]0.138426477862753[/C][/ROW]
[ROW][C]0.42[/C][C]80.0691134748783[/C][C]0.134061656096467[/C][/ROW]
[ROW][C]0.43[/C][C]80.0933353721643[/C][C]0.128936901216468[/C][/ROW]
[ROW][C]0.44[/C][C]80.1165396480217[/C][C]0.123316455341016[/C][/ROW]
[ROW][C]0.45[/C][C]80.1386753687748[/C][C]0.117296643625471[/C][/ROW]
[ROW][C]0.46[/C][C]80.1597436161568[/C][C]0.111392888920952[/C][/ROW]
[ROW][C]0.47[/C][C]80.1797984092642[/C][C]0.105984555969273[/C][/ROW]
[ROW][C]0.48[/C][C]80.1989412773243[/C][C]0.101128528433986[/C][/ROW]
[ROW][C]0.49[/C][C]80.2173108614724[/C][C]0.0973360897893657[/C][/ROW]
[ROW][C]0.5[/C][C]80.2350693233685[/C][C]0.0944194368613936[/C][/ROW]
[ROW][C]0.51[/C][C]80.2523873894154[/C][C]0.0925179717979911[/C][/ROW]
[ROW][C]0.52[/C][C]80.2694296382416[/C][C]0.0915188399347515[/C][/ROW]
[ROW][C]0.53[/C][C]80.2863412675026[/C][C]0.0913346011275577[/C][/ROW]
[ROW][C]0.54[/C][C]80.3032371875583[/C][C]0.0916976084113199[/C][/ROW]
[ROW][C]0.55[/C][C]80.320193991363[/C][C]0.0922940012964002[/C][/ROW]
[ROW][C]0.56[/C][C]80.3372451900541[/C][C]0.0930193825603318[/C][/ROW]
[ROW][C]0.57[/C][C]80.3543800574807[/C][C]0.0934273517672143[/C][/ROW]
[ROW][C]0.58[/C][C]80.3715464090698[/C][C]0.0934344652675463[/C][/ROW]
[ROW][C]0.59[/C][C]80.3886575417476[/C][C]0.0927906044177076[/C][/ROW]
[ROW][C]0.6[/C][C]80.4056032967199[/C][C]0.0913793163329327[/C][/ROW]
[ROW][C]0.61[/C][C]80.4222647550241[/C][C]0.0892204276143465[/C][/ROW]
[ROW][C]0.62[/C][C]80.438531497578[/C][C]0.0863388965189037[/C][/ROW]
[ROW][C]0.63[/C][C]80.4543197838589[/C][C]0.082913631147126[/C][/ROW]
[ROW][C]0.64[/C][C]80.4695895774231[/C][C]0.0792926669743316[/C][/ROW]
[ROW][C]0.65[/C][C]80.4843581956379[/C][C]0.0756877183437863[/C][/ROW]
[ROW][C]0.66[/C][C]80.4987085414684[/C][C]0.0726637495676611[/C][/ROW]
[ROW][C]0.67[/C][C]80.5127903661602[/C][C]0.0705200672657001[/C][/ROW]
[ROW][C]0.68[/C][C]80.5268137392269[/C][C]0.0696629636596193[/C][/ROW]
[ROW][C]0.69[/C][C]80.5410347834072[/C][C]0.0702489134176927[/C][/ROW]
[ROW][C]0.7[/C][C]80.5557347139501[/C][C]0.0724623127629745[/C][/ROW]
[ROW][C]0.71[/C][C]80.5711942858622[/C][C]0.0761807417680198[/C][/ROW]
[ROW][C]0.72[/C][C]80.5876668772985[/C][C]0.081064873823412[/C][/ROW]
[ROW][C]0.73[/C][C]80.6053545239599[/C][C]0.0866590214868267[/C][/ROW]
[ROW][C]0.74[/C][C]80.6243920311349[/C][C]0.0925987442512636[/C][/ROW]
[ROW][C]0.75[/C][C]80.6448444466646[/C][C]0.0984079440405955[/C][/ROW]
[ROW][C]0.76[/C][C]80.6667222411484[/C][C]0.10357207534808[/C][/ROW]
[ROW][C]0.77[/C][C]80.6900161730073[/C][C]0.108184949575636[/C][/ROW]
[ROW][C]0.78[/C][C]80.7147499445047[/C][C]0.112161784079556[/C][/ROW]
[ROW][C]0.79[/C][C]80.7410436727466[/C][C]0.116110245791414[/C][/ROW]
[ROW][C]0.8[/C][C]80.7691755631405[/C][C]0.120858202496307[/C][/ROW]
[ROW][C]0.81[/C][C]80.7996239848752[/C][C]0.12741164855498[/C][/ROW]
[ROW][C]0.82[/C][C]80.8330688686213[/C][C]0.136825107716084[/C][/ROW]
[ROW][C]0.83[/C][C]80.8703321726344[/C][C]0.149682087097379[/C][/ROW]
[ROW][C]0.84[/C][C]80.9122451864653[/C][C]0.165816085348846[/C][/ROW]
[ROW][C]0.85[/C][C]80.9594489719238[/C][C]0.184110571638701[/C][/ROW]
[ROW][C]0.86[/C][C]81.0121645092521[/C][C]0.202236096408297[/C][/ROW]
[ROW][C]0.87[/C][C]81.0700063600478[/C][C]0.217185231312292[/C][/ROW]
[ROW][C]0.88[/C][C]81.1319433781668[/C][C]0.225800500755381[/C][/ROW]
[ROW][C]0.89[/C][C]81.1965080565318[/C][C]0.225971621509353[/C][/ROW]
[ROW][C]0.9[/C][C]81.262296499488[/C][C]0.217679817329992[/C][/ROW]
[ROW][C]0.91[/C][C]81.3286721142897[/C][C]0.203972449731223[/C][/ROW]
[ROW][C]0.92[/C][C]81.3964100835982[/C][C]0.19104778999552[/C][/ROW]
[ROW][C]0.93[/C][C]81.4678649982261[/C][C]0.186236186839796[/C][/ROW]
[ROW][C]0.94[/C][C]81.5462212835521[/C][C]0.193210835891192[/C][/ROW]
[ROW][C]0.95[/C][C]81.6336225736828[/C][C]0.206775883091212[/C][/ROW]
[ROW][C]0.96[/C][C]81.7285628606721[/C][C]0.213120915466667[/C][/ROW]
[ROW][C]0.97[/C][C]81.8237986034478[/C][C]0.195782732207493[/C][/ROW]
[ROW][C]0.98[/C][C]81.906776494046[/C][C]0.145364437457148[/C][/ROW]
[ROW][C]0.99[/C][C]81.9642079243695[/C][C]0.07293723345368[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=240121&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240121&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
0.0178.96802505053370.166956024797701
0.0279.04742270615190.125726999905893
0.0379.11738582613630.0887546559710134
0.0479.16753908033220.06178583600677
0.0579.20089644359180.0458624809228071
0.0679.22382634885180.039636835627897
0.0779.24147750008040.0396942808301816
0.0879.25696937552250.0424255538441005
0.0979.27186679842190.0457449675312613
0.179.28680490806560.0490656810941635
0.1179.3019526219870.0518487938025158
0.1279.31729268398750.0542216506576922
0.1379.33277042715660.0563471845076209
0.1479.34836610655630.0584133068691411
0.1579.36412737803930.0608713409185801
0.1679.38018013278170.0641755062417476
0.1779.39672480274040.0686719823788152
0.1879.41402085175950.0745066951490302
0.1979.43236135690930.0819908807219582
0.279.45204006548590.0908632500351545
0.2179.47331421765670.100954075842881
0.2279.49636755939410.111822390851405
0.2379.52127903219310.122740834607138
0.2479.54800299267650.133078460408292
0.2579.57636583839350.141970036552359
0.2679.60608135971920.149102043275702
0.2779.63678342250810.153990009261518
0.2879.66807069586250.156634186935889
0.2979.69955525061480.15731655604277
0.379.73090588062870.156469209170729
0.3179.76187825600230.154636845546155
0.3279.79232713108770.152450406276787
0.3379.82219990169390.15035441141945
0.3479.85151473491870.148879164649998
0.3579.88032933096910.147845321107046
0.3679.90870757052570.147118502406417
0.3779.93669079835230.146568934848542
0.3879.96427866258430.145565567928258
0.3979.99142188684760.144021555960579
0.480.018026759520.141648352586986
0.4180.04396901546590.138426477862753
0.4280.06911347487830.134061656096467
0.4380.09333537216430.128936901216468
0.4480.11653964802170.123316455341016
0.4580.13867536877480.117296643625471
0.4680.15974361615680.111392888920952
0.4780.17979840926420.105984555969273
0.4880.19894127732430.101128528433986
0.4980.21731086147240.0973360897893657
0.580.23506932336850.0944194368613936
0.5180.25238738941540.0925179717979911
0.5280.26942963824160.0915188399347515
0.5380.28634126750260.0913346011275577
0.5480.30323718755830.0916976084113199
0.5580.3201939913630.0922940012964002
0.5680.33724519005410.0930193825603318
0.5780.35438005748070.0934273517672143
0.5880.37154640906980.0934344652675463
0.5980.38865754174760.0927906044177076
0.680.40560329671990.0913793163329327
0.6180.42226475502410.0892204276143465
0.6280.4385314975780.0863388965189037
0.6380.45431978385890.082913631147126
0.6480.46958957742310.0792926669743316
0.6580.48435819563790.0756877183437863
0.6680.49870854146840.0726637495676611
0.6780.51279036616020.0705200672657001
0.6880.52681373922690.0696629636596193
0.6980.54103478340720.0702489134176927
0.780.55573471395010.0724623127629745
0.7180.57119428586220.0761807417680198
0.7280.58766687729850.081064873823412
0.7380.60535452395990.0866590214868267
0.7480.62439203113490.0925987442512636
0.7580.64484444666460.0984079440405955
0.7680.66672224114840.10357207534808
0.7780.69001617300730.108184949575636
0.7880.71474994450470.112161784079556
0.7980.74104367274660.116110245791414
0.880.76917556314050.120858202496307
0.8180.79962398487520.12741164855498
0.8280.83306886862130.136825107716084
0.8380.87033217263440.149682087097379
0.8480.91224518646530.165816085348846
0.8580.95944897192380.184110571638701
0.8681.01216450925210.202236096408297
0.8781.07000636004780.217185231312292
0.8881.13194337816680.225800500755381
0.8981.19650805653180.225971621509353
0.981.2622964994880.217679817329992
0.9181.32867211428970.203972449731223
0.9281.39641008359820.19104778999552
0.9381.46786499822610.186236186839796
0.9481.54622128355210.193210835891192
0.9581.63362257368280.206775883091212
0.9681.72856286067210.213120915466667
0.9781.82379860344780.195782732207493
0.9881.9067764940460.145364437457148
0.9981.96420792436950.07293723345368


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')