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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 computationMon, 29 Feb 2016 17:32:46 +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/Feb/29/t1456767183n3grlptzzaphm6p.htm/, Retrieved Tue, 21 Apr 2026 15:28:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293022, Retrieved Tue, 21 Apr 2026 15:28:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact321

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] [] [2016-02-29 17:32:46] [b94c13d84d922b33c8d74b1e5b1d38c1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83,8
86,62
83,98
82,59
82,3
81,64
81,66
81,63
85,54
85,62
85,89
86,38
87,59
87,68
88,07
87,66
88,36
88,08
94,35
99,07
100,39
102,1
102,89
103,05
102,78
102,53
101,6
100,78
100,54
100,19
100,07
100,18
100,08
99,66
99,92
99,51
101,77
102,49
101,91
100,57
100,23
99,99
99,2
99,07
98,79
99,31
98,98
97,69
98,9
98,75
99,7
100,18
100,14
100,13
99,85
99,38
98,87
97,79
97,32
97,29
96,73
97,22
96,66
96,58
96,47
96,7
97,91
97,97
98,26
97,8
97,33
97,56

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=293022&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=293022&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293022&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
0.0181.65676530478840.0858353195924916
0.0281.73847999941020.257518770795359
0.0381.89873831342140.489148250723038
0.0482.14596776110580.734289683004138
0.0582.47287937834220.958232815206164
0.0682.86191270584641.14078907514628
0.0783.29145464022481.27074729001609
0.0883.74025233480671.34497082547817
0.0984.19004812230761.36811716406542
0.184.62713992953831.35252606894667
0.1185.0432054446391.31569611708874
0.1285.43542458110121.27696260716493
0.1385.80597607311771.25422260176434
0.1486.16114613471711.26300161717331
0.1586.51033404913181.3160044050979
0.1686.86512017340991.42388216857143
0.1787.23837058085951.59471045097199
0.1887.64322012047811.82983778405889
0.1988.09178260913012.12227760528603
0.288.59357884201652.45414220859686
0.2189.15387502670792.79811039157782
0.2289.77228454419953.12079902878361
0.2390.44202546761453.3874666595469
0.2491.15012038299923.56783497721407
0.2591.87860877425473.64066796710332
0.2692.60659099634933.59769510702933
0.2793.31272029024143.44404156258008
0.2893.97766614620583.19665284851831
0.2994.58610796914592.88139450039794
0.395.12795925102712.5275664224284
0.3195.59871735155862.16423895834584
0.3295.99902304204021.81599643530032
0.3396.3336499997361.50152387782669
0.3496.61020439763211.23200199825881
0.3596.83780119464831.01207729282435
0.3697.02591801565190.841303500679761
0.3797.18353880538480.715349069823294
0.3897.31861454179830.627547919323365
0.3997.43780506074740.570569743506802
0.497.54643145695850.537238222709929
0.4197.6485604458590.520893986248051
0.4297.74715288754010.51650481338837
0.4397.84422910369840.519460695790477
0.4497.94102551517690.525829323830665
0.4598.03813494156510.532825950729417
0.4698.13563396754560.537970161090563
0.4798.23320485686280.539544508233265
0.4898.33025801003220.536026894093035
0.4998.42605620140780.527276067780692
0.598.51983624099850.513408074847521
0.5198.61091935250170.495466152225134
0.5298.69879976722030.474603234918485
0.5398.78320222854350.452565836013767
0.5498.86410285318990.431141848039166
0.5598.9417130480450.411686796507322
0.5699.01643160335570.395242598072981
0.5799.08877443821240.382397685335638
0.5899.15929391920580.373121474292579
0.5999.22849990942990.366751157224004
0.699.29679296662930.36247134534352
0.6199.36441701623260.359106361596618
0.6299.43143516675710.355453058952564
0.6399.49772885676290.350572272563781
0.6499.5630177698060.34349871862549
0.6599.62689620295740.333868372870849
0.6699.68888084367610.32133321434922
0.6799.7484650263310.305986502184395
0.6899.80517522866890.28804493422289
0.6999.85862653566530.268223336472268
0.799.90857478948970.247125151803256
0.7199.95496398073910.225962125244913
0.7299.99796802793750.205798101680165
0.73100.0380264353880.187951162684872
0.74100.0758734636170.173818306149348
0.75100.1125604180410.164992141601121
0.76100.14947033340.163204550844087
0.77100.1883232926450.169911172520975
0.78100.2311681758310.186201766016451
0.79100.2803521509310.212769407677872
0.8100.3384529262420.249891259653909
0.81100.4081528908150.297119772510837
0.82100.4920336528220.353340975991011
0.83100.5922807973530.415987302929395
0.84100.7103168654390.480997501455973
0.85100.8464231744170.542698735997949
0.86100.9994534843850.594418365976786
0.87101.16675889260.629740919852503
0.88101.3444083603340.644039931348999
0.89101.5276980160910.63596339794931
0.9101.7118264742870.607621932137947
0.91101.8925347752630.564100666664761
0.92102.0665232310490.511299019182491
0.93102.231565617670.454064530723331
0.94102.3863860903370.395434656167836
0.95102.5304730921710.337171033710869
0.96102.663982505090.280195434143663
0.97102.7874480485330.225713964651301
0.98102.8998696472560.180003676511841
0.99102.9934863124550.157165489040778

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 81.6567653047884 & 0.0858353195924916 \tabularnewline
0.02 & 81.7384799994102 & 0.257518770795359 \tabularnewline
0.03 & 81.8987383134214 & 0.489148250723038 \tabularnewline
0.04 & 82.1459677611058 & 0.734289683004138 \tabularnewline
0.05 & 82.4728793783422 & 0.958232815206164 \tabularnewline
0.06 & 82.8619127058464 & 1.14078907514628 \tabularnewline
0.07 & 83.2914546402248 & 1.27074729001609 \tabularnewline
0.08 & 83.7402523348067 & 1.34497082547817 \tabularnewline
0.09 & 84.1900481223076 & 1.36811716406542 \tabularnewline
0.1 & 84.6271399295383 & 1.35252606894667 \tabularnewline
0.11 & 85.043205444639 & 1.31569611708874 \tabularnewline
0.12 & 85.4354245811012 & 1.27696260716493 \tabularnewline
0.13 & 85.8059760731177 & 1.25422260176434 \tabularnewline
0.14 & 86.1611461347171 & 1.26300161717331 \tabularnewline
0.15 & 86.5103340491318 & 1.3160044050979 \tabularnewline
0.16 & 86.8651201734099 & 1.42388216857143 \tabularnewline
0.17 & 87.2383705808595 & 1.59471045097199 \tabularnewline
0.18 & 87.6432201204781 & 1.82983778405889 \tabularnewline
0.19 & 88.0917826091301 & 2.12227760528603 \tabularnewline
0.2 & 88.5935788420165 & 2.45414220859686 \tabularnewline
0.21 & 89.1538750267079 & 2.79811039157782 \tabularnewline
0.22 & 89.7722845441995 & 3.12079902878361 \tabularnewline
0.23 & 90.4420254676145 & 3.3874666595469 \tabularnewline
0.24 & 91.1501203829992 & 3.56783497721407 \tabularnewline
0.25 & 91.8786087742547 & 3.64066796710332 \tabularnewline
0.26 & 92.6065909963493 & 3.59769510702933 \tabularnewline
0.27 & 93.3127202902414 & 3.44404156258008 \tabularnewline
0.28 & 93.9776661462058 & 3.19665284851831 \tabularnewline
0.29 & 94.5861079691459 & 2.88139450039794 \tabularnewline
0.3 & 95.1279592510271 & 2.5275664224284 \tabularnewline
0.31 & 95.5987173515586 & 2.16423895834584 \tabularnewline
0.32 & 95.9990230420402 & 1.81599643530032 \tabularnewline
0.33 & 96.333649999736 & 1.50152387782669 \tabularnewline
0.34 & 96.6102043976321 & 1.23200199825881 \tabularnewline
0.35 & 96.8378011946483 & 1.01207729282435 \tabularnewline
0.36 & 97.0259180156519 & 0.841303500679761 \tabularnewline
0.37 & 97.1835388053848 & 0.715349069823294 \tabularnewline
0.38 & 97.3186145417983 & 0.627547919323365 \tabularnewline
0.39 & 97.4378050607474 & 0.570569743506802 \tabularnewline
0.4 & 97.5464314569585 & 0.537238222709929 \tabularnewline
0.41 & 97.648560445859 & 0.520893986248051 \tabularnewline
0.42 & 97.7471528875401 & 0.51650481338837 \tabularnewline
0.43 & 97.8442291036984 & 0.519460695790477 \tabularnewline
0.44 & 97.9410255151769 & 0.525829323830665 \tabularnewline
0.45 & 98.0381349415651 & 0.532825950729417 \tabularnewline
0.46 & 98.1356339675456 & 0.537970161090563 \tabularnewline
0.47 & 98.2332048568628 & 0.539544508233265 \tabularnewline
0.48 & 98.3302580100322 & 0.536026894093035 \tabularnewline
0.49 & 98.4260562014078 & 0.527276067780692 \tabularnewline
0.5 & 98.5198362409985 & 0.513408074847521 \tabularnewline
0.51 & 98.6109193525017 & 0.495466152225134 \tabularnewline
0.52 & 98.6987997672203 & 0.474603234918485 \tabularnewline
0.53 & 98.7832022285435 & 0.452565836013767 \tabularnewline
0.54 & 98.8641028531899 & 0.431141848039166 \tabularnewline
0.55 & 98.941713048045 & 0.411686796507322 \tabularnewline
0.56 & 99.0164316033557 & 0.395242598072981 \tabularnewline
0.57 & 99.0887744382124 & 0.382397685335638 \tabularnewline
0.58 & 99.1592939192058 & 0.373121474292579 \tabularnewline
0.59 & 99.2284999094299 & 0.366751157224004 \tabularnewline
0.6 & 99.2967929666293 & 0.36247134534352 \tabularnewline
0.61 & 99.3644170162326 & 0.359106361596618 \tabularnewline
0.62 & 99.4314351667571 & 0.355453058952564 \tabularnewline
0.63 & 99.4977288567629 & 0.350572272563781 \tabularnewline
0.64 & 99.563017769806 & 0.34349871862549 \tabularnewline
0.65 & 99.6268962029574 & 0.333868372870849 \tabularnewline
0.66 & 99.6888808436761 & 0.32133321434922 \tabularnewline
0.67 & 99.748465026331 & 0.305986502184395 \tabularnewline
0.68 & 99.8051752286689 & 0.28804493422289 \tabularnewline
0.69 & 99.8586265356653 & 0.268223336472268 \tabularnewline
0.7 & 99.9085747894897 & 0.247125151803256 \tabularnewline
0.71 & 99.9549639807391 & 0.225962125244913 \tabularnewline
0.72 & 99.9979680279375 & 0.205798101680165 \tabularnewline
0.73 & 100.038026435388 & 0.187951162684872 \tabularnewline
0.74 & 100.075873463617 & 0.173818306149348 \tabularnewline
0.75 & 100.112560418041 & 0.164992141601121 \tabularnewline
0.76 & 100.1494703334 & 0.163204550844087 \tabularnewline
0.77 & 100.188323292645 & 0.169911172520975 \tabularnewline
0.78 & 100.231168175831 & 0.186201766016451 \tabularnewline
0.79 & 100.280352150931 & 0.212769407677872 \tabularnewline
0.8 & 100.338452926242 & 0.249891259653909 \tabularnewline
0.81 & 100.408152890815 & 0.297119772510837 \tabularnewline
0.82 & 100.492033652822 & 0.353340975991011 \tabularnewline
0.83 & 100.592280797353 & 0.415987302929395 \tabularnewline
0.84 & 100.710316865439 & 0.480997501455973 \tabularnewline
0.85 & 100.846423174417 & 0.542698735997949 \tabularnewline
0.86 & 100.999453484385 & 0.594418365976786 \tabularnewline
0.87 & 101.1667588926 & 0.629740919852503 \tabularnewline
0.88 & 101.344408360334 & 0.644039931348999 \tabularnewline
0.89 & 101.527698016091 & 0.63596339794931 \tabularnewline
0.9 & 101.711826474287 & 0.607621932137947 \tabularnewline
0.91 & 101.892534775263 & 0.564100666664761 \tabularnewline
0.92 & 102.066523231049 & 0.511299019182491 \tabularnewline
0.93 & 102.23156561767 & 0.454064530723331 \tabularnewline
0.94 & 102.386386090337 & 0.395434656167836 \tabularnewline
0.95 & 102.530473092171 & 0.337171033710869 \tabularnewline
0.96 & 102.66398250509 & 0.280195434143663 \tabularnewline
0.97 & 102.787448048533 & 0.225713964651301 \tabularnewline
0.98 & 102.899869647256 & 0.180003676511841 \tabularnewline
0.99 & 102.993486312455 & 0.157165489040778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293022&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]81.6567653047884[/C][C]0.0858353195924916[/C][/ROW]
[ROW][C]0.02[/C][C]81.7384799994102[/C][C]0.257518770795359[/C][/ROW]
[ROW][C]0.03[/C][C]81.8987383134214[/C][C]0.489148250723038[/C][/ROW]
[ROW][C]0.04[/C][C]82.1459677611058[/C][C]0.734289683004138[/C][/ROW]
[ROW][C]0.05[/C][C]82.4728793783422[/C][C]0.958232815206164[/C][/ROW]
[ROW][C]0.06[/C][C]82.8619127058464[/C][C]1.14078907514628[/C][/ROW]
[ROW][C]0.07[/C][C]83.2914546402248[/C][C]1.27074729001609[/C][/ROW]
[ROW][C]0.08[/C][C]83.7402523348067[/C][C]1.34497082547817[/C][/ROW]
[ROW][C]0.09[/C][C]84.1900481223076[/C][C]1.36811716406542[/C][/ROW]
[ROW][C]0.1[/C][C]84.6271399295383[/C][C]1.35252606894667[/C][/ROW]
[ROW][C]0.11[/C][C]85.043205444639[/C][C]1.31569611708874[/C][/ROW]
[ROW][C]0.12[/C][C]85.4354245811012[/C][C]1.27696260716493[/C][/ROW]
[ROW][C]0.13[/C][C]85.8059760731177[/C][C]1.25422260176434[/C][/ROW]
[ROW][C]0.14[/C][C]86.1611461347171[/C][C]1.26300161717331[/C][/ROW]
[ROW][C]0.15[/C][C]86.5103340491318[/C][C]1.3160044050979[/C][/ROW]
[ROW][C]0.16[/C][C]86.8651201734099[/C][C]1.42388216857143[/C][/ROW]
[ROW][C]0.17[/C][C]87.2383705808595[/C][C]1.59471045097199[/C][/ROW]
[ROW][C]0.18[/C][C]87.6432201204781[/C][C]1.82983778405889[/C][/ROW]
[ROW][C]0.19[/C][C]88.0917826091301[/C][C]2.12227760528603[/C][/ROW]
[ROW][C]0.2[/C][C]88.5935788420165[/C][C]2.45414220859686[/C][/ROW]
[ROW][C]0.21[/C][C]89.1538750267079[/C][C]2.79811039157782[/C][/ROW]
[ROW][C]0.22[/C][C]89.7722845441995[/C][C]3.12079902878361[/C][/ROW]
[ROW][C]0.23[/C][C]90.4420254676145[/C][C]3.3874666595469[/C][/ROW]
[ROW][C]0.24[/C][C]91.1501203829992[/C][C]3.56783497721407[/C][/ROW]
[ROW][C]0.25[/C][C]91.8786087742547[/C][C]3.64066796710332[/C][/ROW]
[ROW][C]0.26[/C][C]92.6065909963493[/C][C]3.59769510702933[/C][/ROW]
[ROW][C]0.27[/C][C]93.3127202902414[/C][C]3.44404156258008[/C][/ROW]
[ROW][C]0.28[/C][C]93.9776661462058[/C][C]3.19665284851831[/C][/ROW]
[ROW][C]0.29[/C][C]94.5861079691459[/C][C]2.88139450039794[/C][/ROW]
[ROW][C]0.3[/C][C]95.1279592510271[/C][C]2.5275664224284[/C][/ROW]
[ROW][C]0.31[/C][C]95.5987173515586[/C][C]2.16423895834584[/C][/ROW]
[ROW][C]0.32[/C][C]95.9990230420402[/C][C]1.81599643530032[/C][/ROW]
[ROW][C]0.33[/C][C]96.333649999736[/C][C]1.50152387782669[/C][/ROW]
[ROW][C]0.34[/C][C]96.6102043976321[/C][C]1.23200199825881[/C][/ROW]
[ROW][C]0.35[/C][C]96.8378011946483[/C][C]1.01207729282435[/C][/ROW]
[ROW][C]0.36[/C][C]97.0259180156519[/C][C]0.841303500679761[/C][/ROW]
[ROW][C]0.37[/C][C]97.1835388053848[/C][C]0.715349069823294[/C][/ROW]
[ROW][C]0.38[/C][C]97.3186145417983[/C][C]0.627547919323365[/C][/ROW]
[ROW][C]0.39[/C][C]97.4378050607474[/C][C]0.570569743506802[/C][/ROW]
[ROW][C]0.4[/C][C]97.5464314569585[/C][C]0.537238222709929[/C][/ROW]
[ROW][C]0.41[/C][C]97.648560445859[/C][C]0.520893986248051[/C][/ROW]
[ROW][C]0.42[/C][C]97.7471528875401[/C][C]0.51650481338837[/C][/ROW]
[ROW][C]0.43[/C][C]97.8442291036984[/C][C]0.519460695790477[/C][/ROW]
[ROW][C]0.44[/C][C]97.9410255151769[/C][C]0.525829323830665[/C][/ROW]
[ROW][C]0.45[/C][C]98.0381349415651[/C][C]0.532825950729417[/C][/ROW]
[ROW][C]0.46[/C][C]98.1356339675456[/C][C]0.537970161090563[/C][/ROW]
[ROW][C]0.47[/C][C]98.2332048568628[/C][C]0.539544508233265[/C][/ROW]
[ROW][C]0.48[/C][C]98.3302580100322[/C][C]0.536026894093035[/C][/ROW]
[ROW][C]0.49[/C][C]98.4260562014078[/C][C]0.527276067780692[/C][/ROW]
[ROW][C]0.5[/C][C]98.5198362409985[/C][C]0.513408074847521[/C][/ROW]
[ROW][C]0.51[/C][C]98.6109193525017[/C][C]0.495466152225134[/C][/ROW]
[ROW][C]0.52[/C][C]98.6987997672203[/C][C]0.474603234918485[/C][/ROW]
[ROW][C]0.53[/C][C]98.7832022285435[/C][C]0.452565836013767[/C][/ROW]
[ROW][C]0.54[/C][C]98.8641028531899[/C][C]0.431141848039166[/C][/ROW]
[ROW][C]0.55[/C][C]98.941713048045[/C][C]0.411686796507322[/C][/ROW]
[ROW][C]0.56[/C][C]99.0164316033557[/C][C]0.395242598072981[/C][/ROW]
[ROW][C]0.57[/C][C]99.0887744382124[/C][C]0.382397685335638[/C][/ROW]
[ROW][C]0.58[/C][C]99.1592939192058[/C][C]0.373121474292579[/C][/ROW]
[ROW][C]0.59[/C][C]99.2284999094299[/C][C]0.366751157224004[/C][/ROW]
[ROW][C]0.6[/C][C]99.2967929666293[/C][C]0.36247134534352[/C][/ROW]
[ROW][C]0.61[/C][C]99.3644170162326[/C][C]0.359106361596618[/C][/ROW]
[ROW][C]0.62[/C][C]99.4314351667571[/C][C]0.355453058952564[/C][/ROW]
[ROW][C]0.63[/C][C]99.4977288567629[/C][C]0.350572272563781[/C][/ROW]
[ROW][C]0.64[/C][C]99.563017769806[/C][C]0.34349871862549[/C][/ROW]
[ROW][C]0.65[/C][C]99.6268962029574[/C][C]0.333868372870849[/C][/ROW]
[ROW][C]0.66[/C][C]99.6888808436761[/C][C]0.32133321434922[/C][/ROW]
[ROW][C]0.67[/C][C]99.748465026331[/C][C]0.305986502184395[/C][/ROW]
[ROW][C]0.68[/C][C]99.8051752286689[/C][C]0.28804493422289[/C][/ROW]
[ROW][C]0.69[/C][C]99.8586265356653[/C][C]0.268223336472268[/C][/ROW]
[ROW][C]0.7[/C][C]99.9085747894897[/C][C]0.247125151803256[/C][/ROW]
[ROW][C]0.71[/C][C]99.9549639807391[/C][C]0.225962125244913[/C][/ROW]
[ROW][C]0.72[/C][C]99.9979680279375[/C][C]0.205798101680165[/C][/ROW]
[ROW][C]0.73[/C][C]100.038026435388[/C][C]0.187951162684872[/C][/ROW]
[ROW][C]0.74[/C][C]100.075873463617[/C][C]0.173818306149348[/C][/ROW]
[ROW][C]0.75[/C][C]100.112560418041[/C][C]0.164992141601121[/C][/ROW]
[ROW][C]0.76[/C][C]100.1494703334[/C][C]0.163204550844087[/C][/ROW]
[ROW][C]0.77[/C][C]100.188323292645[/C][C]0.169911172520975[/C][/ROW]
[ROW][C]0.78[/C][C]100.231168175831[/C][C]0.186201766016451[/C][/ROW]
[ROW][C]0.79[/C][C]100.280352150931[/C][C]0.212769407677872[/C][/ROW]
[ROW][C]0.8[/C][C]100.338452926242[/C][C]0.249891259653909[/C][/ROW]
[ROW][C]0.81[/C][C]100.408152890815[/C][C]0.297119772510837[/C][/ROW]
[ROW][C]0.82[/C][C]100.492033652822[/C][C]0.353340975991011[/C][/ROW]
[ROW][C]0.83[/C][C]100.592280797353[/C][C]0.415987302929395[/C][/ROW]
[ROW][C]0.84[/C][C]100.710316865439[/C][C]0.480997501455973[/C][/ROW]
[ROW][C]0.85[/C][C]100.846423174417[/C][C]0.542698735997949[/C][/ROW]
[ROW][C]0.86[/C][C]100.999453484385[/C][C]0.594418365976786[/C][/ROW]
[ROW][C]0.87[/C][C]101.1667588926[/C][C]0.629740919852503[/C][/ROW]
[ROW][C]0.88[/C][C]101.344408360334[/C][C]0.644039931348999[/C][/ROW]
[ROW][C]0.89[/C][C]101.527698016091[/C][C]0.63596339794931[/C][/ROW]
[ROW][C]0.9[/C][C]101.711826474287[/C][C]0.607621932137947[/C][/ROW]
[ROW][C]0.91[/C][C]101.892534775263[/C][C]0.564100666664761[/C][/ROW]
[ROW][C]0.92[/C][C]102.066523231049[/C][C]0.511299019182491[/C][/ROW]
[ROW][C]0.93[/C][C]102.23156561767[/C][C]0.454064530723331[/C][/ROW]
[ROW][C]0.94[/C][C]102.386386090337[/C][C]0.395434656167836[/C][/ROW]
[ROW][C]0.95[/C][C]102.530473092171[/C][C]0.337171033710869[/C][/ROW]
[ROW][C]0.96[/C][C]102.66398250509[/C][C]0.280195434143663[/C][/ROW]
[ROW][C]0.97[/C][C]102.787448048533[/C][C]0.225713964651301[/C][/ROW]
[ROW][C]0.98[/C][C]102.899869647256[/C][C]0.180003676511841[/C][/ROW]
[ROW][C]0.99[/C][C]102.993486312455[/C][C]0.157165489040778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293022&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293022&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
0.0181.65676530478840.0858353195924916
0.0281.73847999941020.257518770795359
0.0381.89873831342140.489148250723038
0.0482.14596776110580.734289683004138
0.0582.47287937834220.958232815206164
0.0682.86191270584641.14078907514628
0.0783.29145464022481.27074729001609
0.0883.74025233480671.34497082547817
0.0984.19004812230761.36811716406542
0.184.62713992953831.35252606894667
0.1185.0432054446391.31569611708874
0.1285.43542458110121.27696260716493
0.1385.80597607311771.25422260176434
0.1486.16114613471711.26300161717331
0.1586.51033404913181.3160044050979
0.1686.86512017340991.42388216857143
0.1787.23837058085951.59471045097199
0.1887.64322012047811.82983778405889
0.1988.09178260913012.12227760528603
0.288.59357884201652.45414220859686
0.2189.15387502670792.79811039157782
0.2289.77228454419953.12079902878361
0.2390.44202546761453.3874666595469
0.2491.15012038299923.56783497721407
0.2591.87860877425473.64066796710332
0.2692.60659099634933.59769510702933
0.2793.31272029024143.44404156258008
0.2893.97766614620583.19665284851831
0.2994.58610796914592.88139450039794
0.395.12795925102712.5275664224284
0.3195.59871735155862.16423895834584
0.3295.99902304204021.81599643530032
0.3396.3336499997361.50152387782669
0.3496.61020439763211.23200199825881
0.3596.83780119464831.01207729282435
0.3697.02591801565190.841303500679761
0.3797.18353880538480.715349069823294
0.3897.31861454179830.627547919323365
0.3997.43780506074740.570569743506802
0.497.54643145695850.537238222709929
0.4197.6485604458590.520893986248051
0.4297.74715288754010.51650481338837
0.4397.84422910369840.519460695790477
0.4497.94102551517690.525829323830665
0.4598.03813494156510.532825950729417
0.4698.13563396754560.537970161090563
0.4798.23320485686280.539544508233265
0.4898.33025801003220.536026894093035
0.4998.42605620140780.527276067780692
0.598.51983624099850.513408074847521
0.5198.61091935250170.495466152225134
0.5298.69879976722030.474603234918485
0.5398.78320222854350.452565836013767
0.5498.86410285318990.431141848039166
0.5598.9417130480450.411686796507322
0.5699.01643160335570.395242598072981
0.5799.08877443821240.382397685335638
0.5899.15929391920580.373121474292579
0.5999.22849990942990.366751157224004
0.699.29679296662930.36247134534352
0.6199.36441701623260.359106361596618
0.6299.43143516675710.355453058952564
0.6399.49772885676290.350572272563781
0.6499.5630177698060.34349871862549
0.6599.62689620295740.333868372870849
0.6699.68888084367610.32133321434922
0.6799.7484650263310.305986502184395
0.6899.80517522866890.28804493422289
0.6999.85862653566530.268223336472268
0.799.90857478948970.247125151803256
0.7199.95496398073910.225962125244913
0.7299.99796802793750.205798101680165
0.73100.0380264353880.187951162684872
0.74100.0758734636170.173818306149348
0.75100.1125604180410.164992141601121
0.76100.14947033340.163204550844087
0.77100.1883232926450.169911172520975
0.78100.2311681758310.186201766016451
0.79100.2803521509310.212769407677872
0.8100.3384529262420.249891259653909
0.81100.4081528908150.297119772510837
0.82100.4920336528220.353340975991011
0.83100.5922807973530.415987302929395
0.84100.7103168654390.480997501455973
0.85100.8464231744170.542698735997949
0.86100.9994534843850.594418365976786
0.87101.16675889260.629740919852503
0.88101.3444083603340.644039931348999
0.89101.5276980160910.63596339794931
0.9101.7118264742870.607621932137947
0.91101.8925347752630.564100666664761
0.92102.0665232310490.511299019182491
0.93102.231565617670.454064530723331
0.94102.3863860903370.395434656167836
0.95102.5304730921710.337171033710869
0.96102.663982505090.280195434143663
0.97102.7874480485330.225713964651301
0.98102.8998696472560.180003676511841
0.99102.9934863124550.157165489040778


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')