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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, 14 Feb 2014 05:31:35 -0500
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/Feb/14/t1392374140x206wvuhb0ihzxs.htm/, Retrieved Wed, 15 May 2024 05:52:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233627, Retrieved Wed, 15 May 2024 05:52:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

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] [] [2014-02-14 10:31:35] [bc172ccc2f9d668294f33daae64cfa82] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85
82
92.4
100.3
105.2
104.5
105.1
105
106.5
106
99.4
107.4
89.6
85.3
96.3
107.7
112.7
110.1
110.4
111.6
113.3
109
106.5
113
95.6
93.8
106.4
116.6
119.1
120.9
117.3
117.6
115.3
112.3
107.7
113.4
94.3
97.8
106.6
113
122.4
114.6
115
118.7
110.4
111.6
105.1
107.5
92.9
91
100.2
112.2
116.5
111.2
113.3
112.2
102.2
105.3
96
101.3
86.2
84.4
93.4
104.8
106.2
101.9
105.5
106.4
103.9
108.6
96.4
102.2
90.3
88.5
100.2
111.6
111.5
112.9
110.7
105.5
110.7
108.9
101.3
109.6
94.4
91.4
105.8
112.9
116.1
113.7
112.9
110.7
114.3
109.7
105.7
114

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233627&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233627&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233627&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 time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0182.96561587030111.76712992239775
0.0284.18242104675761.29812266042879
0.0385.2241431766671.42252037359919
0.0486.17733524406941.81262863541802
0.0587.15415163511852.11205321020928
0.0688.15010721652482.20403099573673
0.0789.10841843358122.13043173990024
0.0889.98444528746141.98830555556659
0.0990.76504052789721.85325352483387
0.191.46034325646241.75619744703282
0.1192.08973526594441.69815120147848
0.1292.67269399761.67336272297979
0.1393.22571098228781.67936298896959
0.1493.76247192262471.71720820042972
0.1594.29461134957671.78698760055261
0.1694.83183140366271.88430774156193
0.1795.38135216977811.99956643229136
0.1895.94714836381552.11936793558312
0.1996.52944676273592.22826564758014
0.297.12479334286312.31175867333291
0.2197.72679113534872.35926133779892
0.2298.32739899118982.36711300464609
0.2398.91849611513792.33875846897883
0.2499.49331126500382.28390521596749
0.25100.0473405329822.21495816107423
0.26100.5785379390282.14354241506899
0.27101.0868006135882.07637074836851
0.28101.572991451852.01437328197947
0.29102.0378643716491.95314628017013
0.3102.481245705331.88471549725919
0.31102.901700240811.80187605736892
0.32103.2967302242451.69989981315472
0.33103.6633874034061.57859143529299
0.34103.9990727853361.44193976167061
0.35104.3022774169861.29760346456306
0.36104.5730713243321.15468400752722
0.37104.8132469066781.02243514548975
0.38105.0261301265960.908223382036223
0.39105.2161555505450.816903937077898
0.4105.3883412593920.750727346972715
0.41105.5477947566740.708445902305438
0.42105.6993424410730.688006364663118
0.43105.8473210909330.686014697727898
0.44105.9955183078970.700024639646459
0.45106.1472131302830.72763649483453
0.46106.3052538820290.767395641498336
0.47106.4721166000560.817918344693695
0.48106.649907955850.87756285452328
0.49106.840303104640.944144762639517
0.5107.0444333707671.01445211389629
0.51107.2627553879971.0848502833673
0.52107.4949397138031.1509903673138
0.53107.7398135374581.2086828670864
0.54107.9953815280551.25401955980256
0.55108.2589345527871.28384612155044
0.56108.5272410427861.29640662653315
0.57108.7968023992781.29072895696434
0.58109.064143391191.2679017958761
0.59109.3261019764191.23010246867527
0.6109.5800813320371.18071819186025
0.61109.8242309567031.12395285503416
0.62110.0575337214081.06411406205984
0.63110.2797905480461.005218933926
0.64110.4915111488390.950690849063847
0.65110.6937339149250.902427979869166
0.66110.8878067141540.86155674705027
0.67111.0751610755350.82784884821881
0.68111.2571061474140.800178316463908
0.69111.4346599574990.776658953657797
0.7111.6084289044350.755250848449028
0.71111.7785452489520.733694116592996
0.72111.944675717210.709850380564964
0.73112.1061170226770.682026703628005
0.74112.2619893448150.649511236345619
0.75112.4115223458180.613048394809877
0.76112.5544021028750.574716172630363
0.77112.6911200566020.538500495656673
0.78112.823248783360.509248264482791
0.79112.9535737238740.492438396777088
0.8113.086037038060.492620175886217
0.81113.2254924783780.512387302434966
0.82113.3773148814930.551540067846737
0.83113.5469387151470.607815541651103
0.84113.7394036759360.677020482186776
0.85113.9589562893150.754223887520527
0.86114.2087069636990.834026859028928
0.87114.4903115830330.910678293218432
0.88114.8036959687150.97766843127312
0.89115.1470052876161.02834495279824
0.9115.5171663226111.05742305823637
0.91115.9114770004281.0648487005844
0.92116.3302486415031.05950136247532
0.93116.7798492229721.0586359916531
0.94117.2753497749491.07978712208333
0.95117.8432092362371.13228951168162
0.96118.5253441565551.22297787287754
0.97119.379379802121.3609571149083
0.98120.4445169117051.49333789387694
0.99121.6053604103621.50729229348463

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 82.9656158703011 & 1.76712992239775 \tabularnewline
0.02 & 84.1824210467576 & 1.29812266042879 \tabularnewline
0.03 & 85.224143176667 & 1.42252037359919 \tabularnewline
0.04 & 86.1773352440694 & 1.81262863541802 \tabularnewline
0.05 & 87.1541516351185 & 2.11205321020928 \tabularnewline
0.06 & 88.1501072165248 & 2.20403099573673 \tabularnewline
0.07 & 89.1084184335812 & 2.13043173990024 \tabularnewline
0.08 & 89.9844452874614 & 1.98830555556659 \tabularnewline
0.09 & 90.7650405278972 & 1.85325352483387 \tabularnewline
0.1 & 91.4603432564624 & 1.75619744703282 \tabularnewline
0.11 & 92.0897352659444 & 1.69815120147848 \tabularnewline
0.12 & 92.6726939976 & 1.67336272297979 \tabularnewline
0.13 & 93.2257109822878 & 1.67936298896959 \tabularnewline
0.14 & 93.7624719226247 & 1.71720820042972 \tabularnewline
0.15 & 94.2946113495767 & 1.78698760055261 \tabularnewline
0.16 & 94.8318314036627 & 1.88430774156193 \tabularnewline
0.17 & 95.3813521697781 & 1.99956643229136 \tabularnewline
0.18 & 95.9471483638155 & 2.11936793558312 \tabularnewline
0.19 & 96.5294467627359 & 2.22826564758014 \tabularnewline
0.2 & 97.1247933428631 & 2.31175867333291 \tabularnewline
0.21 & 97.7267911353487 & 2.35926133779892 \tabularnewline
0.22 & 98.3273989911898 & 2.36711300464609 \tabularnewline
0.23 & 98.9184961151379 & 2.33875846897883 \tabularnewline
0.24 & 99.4933112650038 & 2.28390521596749 \tabularnewline
0.25 & 100.047340532982 & 2.21495816107423 \tabularnewline
0.26 & 100.578537939028 & 2.14354241506899 \tabularnewline
0.27 & 101.086800613588 & 2.07637074836851 \tabularnewline
0.28 & 101.57299145185 & 2.01437328197947 \tabularnewline
0.29 & 102.037864371649 & 1.95314628017013 \tabularnewline
0.3 & 102.48124570533 & 1.88471549725919 \tabularnewline
0.31 & 102.90170024081 & 1.80187605736892 \tabularnewline
0.32 & 103.296730224245 & 1.69989981315472 \tabularnewline
0.33 & 103.663387403406 & 1.57859143529299 \tabularnewline
0.34 & 103.999072785336 & 1.44193976167061 \tabularnewline
0.35 & 104.302277416986 & 1.29760346456306 \tabularnewline
0.36 & 104.573071324332 & 1.15468400752722 \tabularnewline
0.37 & 104.813246906678 & 1.02243514548975 \tabularnewline
0.38 & 105.026130126596 & 0.908223382036223 \tabularnewline
0.39 & 105.216155550545 & 0.816903937077898 \tabularnewline
0.4 & 105.388341259392 & 0.750727346972715 \tabularnewline
0.41 & 105.547794756674 & 0.708445902305438 \tabularnewline
0.42 & 105.699342441073 & 0.688006364663118 \tabularnewline
0.43 & 105.847321090933 & 0.686014697727898 \tabularnewline
0.44 & 105.995518307897 & 0.700024639646459 \tabularnewline
0.45 & 106.147213130283 & 0.72763649483453 \tabularnewline
0.46 & 106.305253882029 & 0.767395641498336 \tabularnewline
0.47 & 106.472116600056 & 0.817918344693695 \tabularnewline
0.48 & 106.64990795585 & 0.87756285452328 \tabularnewline
0.49 & 106.84030310464 & 0.944144762639517 \tabularnewline
0.5 & 107.044433370767 & 1.01445211389629 \tabularnewline
0.51 & 107.262755387997 & 1.0848502833673 \tabularnewline
0.52 & 107.494939713803 & 1.1509903673138 \tabularnewline
0.53 & 107.739813537458 & 1.2086828670864 \tabularnewline
0.54 & 107.995381528055 & 1.25401955980256 \tabularnewline
0.55 & 108.258934552787 & 1.28384612155044 \tabularnewline
0.56 & 108.527241042786 & 1.29640662653315 \tabularnewline
0.57 & 108.796802399278 & 1.29072895696434 \tabularnewline
0.58 & 109.06414339119 & 1.2679017958761 \tabularnewline
0.59 & 109.326101976419 & 1.23010246867527 \tabularnewline
0.6 & 109.580081332037 & 1.18071819186025 \tabularnewline
0.61 & 109.824230956703 & 1.12395285503416 \tabularnewline
0.62 & 110.057533721408 & 1.06411406205984 \tabularnewline
0.63 & 110.279790548046 & 1.005218933926 \tabularnewline
0.64 & 110.491511148839 & 0.950690849063847 \tabularnewline
0.65 & 110.693733914925 & 0.902427979869166 \tabularnewline
0.66 & 110.887806714154 & 0.86155674705027 \tabularnewline
0.67 & 111.075161075535 & 0.82784884821881 \tabularnewline
0.68 & 111.257106147414 & 0.800178316463908 \tabularnewline
0.69 & 111.434659957499 & 0.776658953657797 \tabularnewline
0.7 & 111.608428904435 & 0.755250848449028 \tabularnewline
0.71 & 111.778545248952 & 0.733694116592996 \tabularnewline
0.72 & 111.94467571721 & 0.709850380564964 \tabularnewline
0.73 & 112.106117022677 & 0.682026703628005 \tabularnewline
0.74 & 112.261989344815 & 0.649511236345619 \tabularnewline
0.75 & 112.411522345818 & 0.613048394809877 \tabularnewline
0.76 & 112.554402102875 & 0.574716172630363 \tabularnewline
0.77 & 112.691120056602 & 0.538500495656673 \tabularnewline
0.78 & 112.82324878336 & 0.509248264482791 \tabularnewline
0.79 & 112.953573723874 & 0.492438396777088 \tabularnewline
0.8 & 113.08603703806 & 0.492620175886217 \tabularnewline
0.81 & 113.225492478378 & 0.512387302434966 \tabularnewline
0.82 & 113.377314881493 & 0.551540067846737 \tabularnewline
0.83 & 113.546938715147 & 0.607815541651103 \tabularnewline
0.84 & 113.739403675936 & 0.677020482186776 \tabularnewline
0.85 & 113.958956289315 & 0.754223887520527 \tabularnewline
0.86 & 114.208706963699 & 0.834026859028928 \tabularnewline
0.87 & 114.490311583033 & 0.910678293218432 \tabularnewline
0.88 & 114.803695968715 & 0.97766843127312 \tabularnewline
0.89 & 115.147005287616 & 1.02834495279824 \tabularnewline
0.9 & 115.517166322611 & 1.05742305823637 \tabularnewline
0.91 & 115.911477000428 & 1.0648487005844 \tabularnewline
0.92 & 116.330248641503 & 1.05950136247532 \tabularnewline
0.93 & 116.779849222972 & 1.0586359916531 \tabularnewline
0.94 & 117.275349774949 & 1.07978712208333 \tabularnewline
0.95 & 117.843209236237 & 1.13228951168162 \tabularnewline
0.96 & 118.525344156555 & 1.22297787287754 \tabularnewline
0.97 & 119.37937980212 & 1.3609571149083 \tabularnewline
0.98 & 120.444516911705 & 1.49333789387694 \tabularnewline
0.99 & 121.605360410362 & 1.50729229348463 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233627&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]82.9656158703011[/C][C]1.76712992239775[/C][/ROW]
[ROW][C]0.02[/C][C]84.1824210467576[/C][C]1.29812266042879[/C][/ROW]
[ROW][C]0.03[/C][C]85.224143176667[/C][C]1.42252037359919[/C][/ROW]
[ROW][C]0.04[/C][C]86.1773352440694[/C][C]1.81262863541802[/C][/ROW]
[ROW][C]0.05[/C][C]87.1541516351185[/C][C]2.11205321020928[/C][/ROW]
[ROW][C]0.06[/C][C]88.1501072165248[/C][C]2.20403099573673[/C][/ROW]
[ROW][C]0.07[/C][C]89.1084184335812[/C][C]2.13043173990024[/C][/ROW]
[ROW][C]0.08[/C][C]89.9844452874614[/C][C]1.98830555556659[/C][/ROW]
[ROW][C]0.09[/C][C]90.7650405278972[/C][C]1.85325352483387[/C][/ROW]
[ROW][C]0.1[/C][C]91.4603432564624[/C][C]1.75619744703282[/C][/ROW]
[ROW][C]0.11[/C][C]92.0897352659444[/C][C]1.69815120147848[/C][/ROW]
[ROW][C]0.12[/C][C]92.6726939976[/C][C]1.67336272297979[/C][/ROW]
[ROW][C]0.13[/C][C]93.2257109822878[/C][C]1.67936298896959[/C][/ROW]
[ROW][C]0.14[/C][C]93.7624719226247[/C][C]1.71720820042972[/C][/ROW]
[ROW][C]0.15[/C][C]94.2946113495767[/C][C]1.78698760055261[/C][/ROW]
[ROW][C]0.16[/C][C]94.8318314036627[/C][C]1.88430774156193[/C][/ROW]
[ROW][C]0.17[/C][C]95.3813521697781[/C][C]1.99956643229136[/C][/ROW]
[ROW][C]0.18[/C][C]95.9471483638155[/C][C]2.11936793558312[/C][/ROW]
[ROW][C]0.19[/C][C]96.5294467627359[/C][C]2.22826564758014[/C][/ROW]
[ROW][C]0.2[/C][C]97.1247933428631[/C][C]2.31175867333291[/C][/ROW]
[ROW][C]0.21[/C][C]97.7267911353487[/C][C]2.35926133779892[/C][/ROW]
[ROW][C]0.22[/C][C]98.3273989911898[/C][C]2.36711300464609[/C][/ROW]
[ROW][C]0.23[/C][C]98.9184961151379[/C][C]2.33875846897883[/C][/ROW]
[ROW][C]0.24[/C][C]99.4933112650038[/C][C]2.28390521596749[/C][/ROW]
[ROW][C]0.25[/C][C]100.047340532982[/C][C]2.21495816107423[/C][/ROW]
[ROW][C]0.26[/C][C]100.578537939028[/C][C]2.14354241506899[/C][/ROW]
[ROW][C]0.27[/C][C]101.086800613588[/C][C]2.07637074836851[/C][/ROW]
[ROW][C]0.28[/C][C]101.57299145185[/C][C]2.01437328197947[/C][/ROW]
[ROW][C]0.29[/C][C]102.037864371649[/C][C]1.95314628017013[/C][/ROW]
[ROW][C]0.3[/C][C]102.48124570533[/C][C]1.88471549725919[/C][/ROW]
[ROW][C]0.31[/C][C]102.90170024081[/C][C]1.80187605736892[/C][/ROW]
[ROW][C]0.32[/C][C]103.296730224245[/C][C]1.69989981315472[/C][/ROW]
[ROW][C]0.33[/C][C]103.663387403406[/C][C]1.57859143529299[/C][/ROW]
[ROW][C]0.34[/C][C]103.999072785336[/C][C]1.44193976167061[/C][/ROW]
[ROW][C]0.35[/C][C]104.302277416986[/C][C]1.29760346456306[/C][/ROW]
[ROW][C]0.36[/C][C]104.573071324332[/C][C]1.15468400752722[/C][/ROW]
[ROW][C]0.37[/C][C]104.813246906678[/C][C]1.02243514548975[/C][/ROW]
[ROW][C]0.38[/C][C]105.026130126596[/C][C]0.908223382036223[/C][/ROW]
[ROW][C]0.39[/C][C]105.216155550545[/C][C]0.816903937077898[/C][/ROW]
[ROW][C]0.4[/C][C]105.388341259392[/C][C]0.750727346972715[/C][/ROW]
[ROW][C]0.41[/C][C]105.547794756674[/C][C]0.708445902305438[/C][/ROW]
[ROW][C]0.42[/C][C]105.699342441073[/C][C]0.688006364663118[/C][/ROW]
[ROW][C]0.43[/C][C]105.847321090933[/C][C]0.686014697727898[/C][/ROW]
[ROW][C]0.44[/C][C]105.995518307897[/C][C]0.700024639646459[/C][/ROW]
[ROW][C]0.45[/C][C]106.147213130283[/C][C]0.72763649483453[/C][/ROW]
[ROW][C]0.46[/C][C]106.305253882029[/C][C]0.767395641498336[/C][/ROW]
[ROW][C]0.47[/C][C]106.472116600056[/C][C]0.817918344693695[/C][/ROW]
[ROW][C]0.48[/C][C]106.64990795585[/C][C]0.87756285452328[/C][/ROW]
[ROW][C]0.49[/C][C]106.84030310464[/C][C]0.944144762639517[/C][/ROW]
[ROW][C]0.5[/C][C]107.044433370767[/C][C]1.01445211389629[/C][/ROW]
[ROW][C]0.51[/C][C]107.262755387997[/C][C]1.0848502833673[/C][/ROW]
[ROW][C]0.52[/C][C]107.494939713803[/C][C]1.1509903673138[/C][/ROW]
[ROW][C]0.53[/C][C]107.739813537458[/C][C]1.2086828670864[/C][/ROW]
[ROW][C]0.54[/C][C]107.995381528055[/C][C]1.25401955980256[/C][/ROW]
[ROW][C]0.55[/C][C]108.258934552787[/C][C]1.28384612155044[/C][/ROW]
[ROW][C]0.56[/C][C]108.527241042786[/C][C]1.29640662653315[/C][/ROW]
[ROW][C]0.57[/C][C]108.796802399278[/C][C]1.29072895696434[/C][/ROW]
[ROW][C]0.58[/C][C]109.06414339119[/C][C]1.2679017958761[/C][/ROW]
[ROW][C]0.59[/C][C]109.326101976419[/C][C]1.23010246867527[/C][/ROW]
[ROW][C]0.6[/C][C]109.580081332037[/C][C]1.18071819186025[/C][/ROW]
[ROW][C]0.61[/C][C]109.824230956703[/C][C]1.12395285503416[/C][/ROW]
[ROW][C]0.62[/C][C]110.057533721408[/C][C]1.06411406205984[/C][/ROW]
[ROW][C]0.63[/C][C]110.279790548046[/C][C]1.005218933926[/C][/ROW]
[ROW][C]0.64[/C][C]110.491511148839[/C][C]0.950690849063847[/C][/ROW]
[ROW][C]0.65[/C][C]110.693733914925[/C][C]0.902427979869166[/C][/ROW]
[ROW][C]0.66[/C][C]110.887806714154[/C][C]0.86155674705027[/C][/ROW]
[ROW][C]0.67[/C][C]111.075161075535[/C][C]0.82784884821881[/C][/ROW]
[ROW][C]0.68[/C][C]111.257106147414[/C][C]0.800178316463908[/C][/ROW]
[ROW][C]0.69[/C][C]111.434659957499[/C][C]0.776658953657797[/C][/ROW]
[ROW][C]0.7[/C][C]111.608428904435[/C][C]0.755250848449028[/C][/ROW]
[ROW][C]0.71[/C][C]111.778545248952[/C][C]0.733694116592996[/C][/ROW]
[ROW][C]0.72[/C][C]111.94467571721[/C][C]0.709850380564964[/C][/ROW]
[ROW][C]0.73[/C][C]112.106117022677[/C][C]0.682026703628005[/C][/ROW]
[ROW][C]0.74[/C][C]112.261989344815[/C][C]0.649511236345619[/C][/ROW]
[ROW][C]0.75[/C][C]112.411522345818[/C][C]0.613048394809877[/C][/ROW]
[ROW][C]0.76[/C][C]112.554402102875[/C][C]0.574716172630363[/C][/ROW]
[ROW][C]0.77[/C][C]112.691120056602[/C][C]0.538500495656673[/C][/ROW]
[ROW][C]0.78[/C][C]112.82324878336[/C][C]0.509248264482791[/C][/ROW]
[ROW][C]0.79[/C][C]112.953573723874[/C][C]0.492438396777088[/C][/ROW]
[ROW][C]0.8[/C][C]113.08603703806[/C][C]0.492620175886217[/C][/ROW]
[ROW][C]0.81[/C][C]113.225492478378[/C][C]0.512387302434966[/C][/ROW]
[ROW][C]0.82[/C][C]113.377314881493[/C][C]0.551540067846737[/C][/ROW]
[ROW][C]0.83[/C][C]113.546938715147[/C][C]0.607815541651103[/C][/ROW]
[ROW][C]0.84[/C][C]113.739403675936[/C][C]0.677020482186776[/C][/ROW]
[ROW][C]0.85[/C][C]113.958956289315[/C][C]0.754223887520527[/C][/ROW]
[ROW][C]0.86[/C][C]114.208706963699[/C][C]0.834026859028928[/C][/ROW]
[ROW][C]0.87[/C][C]114.490311583033[/C][C]0.910678293218432[/C][/ROW]
[ROW][C]0.88[/C][C]114.803695968715[/C][C]0.97766843127312[/C][/ROW]
[ROW][C]0.89[/C][C]115.147005287616[/C][C]1.02834495279824[/C][/ROW]
[ROW][C]0.9[/C][C]115.517166322611[/C][C]1.05742305823637[/C][/ROW]
[ROW][C]0.91[/C][C]115.911477000428[/C][C]1.0648487005844[/C][/ROW]
[ROW][C]0.92[/C][C]116.330248641503[/C][C]1.05950136247532[/C][/ROW]
[ROW][C]0.93[/C][C]116.779849222972[/C][C]1.0586359916531[/C][/ROW]
[ROW][C]0.94[/C][C]117.275349774949[/C][C]1.07978712208333[/C][/ROW]
[ROW][C]0.95[/C][C]117.843209236237[/C][C]1.13228951168162[/C][/ROW]
[ROW][C]0.96[/C][C]118.525344156555[/C][C]1.22297787287754[/C][/ROW]
[ROW][C]0.97[/C][C]119.37937980212[/C][C]1.3609571149083[/C][/ROW]
[ROW][C]0.98[/C][C]120.444516911705[/C][C]1.49333789387694[/C][/ROW]
[ROW][C]0.99[/C][C]121.605360410362[/C][C]1.50729229348463[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233627&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233627&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
0.0182.96561587030111.76712992239775
0.0284.18242104675761.29812266042879
0.0385.2241431766671.42252037359919
0.0486.17733524406941.81262863541802
0.0587.15415163511852.11205321020928
0.0688.15010721652482.20403099573673
0.0789.10841843358122.13043173990024
0.0889.98444528746141.98830555556659
0.0990.76504052789721.85325352483387
0.191.46034325646241.75619744703282
0.1192.08973526594441.69815120147848
0.1292.67269399761.67336272297979
0.1393.22571098228781.67936298896959
0.1493.76247192262471.71720820042972
0.1594.29461134957671.78698760055261
0.1694.83183140366271.88430774156193
0.1795.38135216977811.99956643229136
0.1895.94714836381552.11936793558312
0.1996.52944676273592.22826564758014
0.297.12479334286312.31175867333291
0.2197.72679113534872.35926133779892
0.2298.32739899118982.36711300464609
0.2398.91849611513792.33875846897883
0.2499.49331126500382.28390521596749
0.25100.0473405329822.21495816107423
0.26100.5785379390282.14354241506899
0.27101.0868006135882.07637074836851
0.28101.572991451852.01437328197947
0.29102.0378643716491.95314628017013
0.3102.481245705331.88471549725919
0.31102.901700240811.80187605736892
0.32103.2967302242451.69989981315472
0.33103.6633874034061.57859143529299
0.34103.9990727853361.44193976167061
0.35104.3022774169861.29760346456306
0.36104.5730713243321.15468400752722
0.37104.8132469066781.02243514548975
0.38105.0261301265960.908223382036223
0.39105.2161555505450.816903937077898
0.4105.3883412593920.750727346972715
0.41105.5477947566740.708445902305438
0.42105.6993424410730.688006364663118
0.43105.8473210909330.686014697727898
0.44105.9955183078970.700024639646459
0.45106.1472131302830.72763649483453
0.46106.3052538820290.767395641498336
0.47106.4721166000560.817918344693695
0.48106.649907955850.87756285452328
0.49106.840303104640.944144762639517
0.5107.0444333707671.01445211389629
0.51107.2627553879971.0848502833673
0.52107.4949397138031.1509903673138
0.53107.7398135374581.2086828670864
0.54107.9953815280551.25401955980256
0.55108.2589345527871.28384612155044
0.56108.5272410427861.29640662653315
0.57108.7968023992781.29072895696434
0.58109.064143391191.2679017958761
0.59109.3261019764191.23010246867527
0.6109.5800813320371.18071819186025
0.61109.8242309567031.12395285503416
0.62110.0575337214081.06411406205984
0.63110.2797905480461.005218933926
0.64110.4915111488390.950690849063847
0.65110.6937339149250.902427979869166
0.66110.8878067141540.86155674705027
0.67111.0751610755350.82784884821881
0.68111.2571061474140.800178316463908
0.69111.4346599574990.776658953657797
0.7111.6084289044350.755250848449028
0.71111.7785452489520.733694116592996
0.72111.944675717210.709850380564964
0.73112.1061170226770.682026703628005
0.74112.2619893448150.649511236345619
0.75112.4115223458180.613048394809877
0.76112.5544021028750.574716172630363
0.77112.6911200566020.538500495656673
0.78112.823248783360.509248264482791
0.79112.9535737238740.492438396777088
0.8113.086037038060.492620175886217
0.81113.2254924783780.512387302434966
0.82113.3773148814930.551540067846737
0.83113.5469387151470.607815541651103
0.84113.7394036759360.677020482186776
0.85113.9589562893150.754223887520527
0.86114.2087069636990.834026859028928
0.87114.4903115830330.910678293218432
0.88114.8036959687150.97766843127312
0.89115.1470052876161.02834495279824
0.9115.5171663226111.05742305823637
0.91115.9114770004281.0648487005844
0.92116.3302486415031.05950136247532
0.93116.7798492229721.0586359916531
0.94117.2753497749491.07978712208333
0.95117.8432092362371.13228951168162
0.96118.5253441565551.22297787287754
0.97119.379379802121.3609571149083
0.98120.4445169117051.49333789387694
0.99121.6053604103621.50729229348463


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.999 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.999 ; 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')