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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 17 Dec 2009 15:00:32 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/17/t12610873162v8co28k7revg56.htm/, Retrieved Tue, 30 Apr 2024 01:01:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69120, Retrieved Tue, 30 Apr 2024 01:01:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133

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] [Paper: Univariate...] [2009-12-17 22:00:32] [b9056af0304697100f456398102f1287] [Current]
-    D    [Harrell-Davis Quantiles] [Paper: Harrell-Da...] [2009-12-17 22:29:58] [8cf9233b7464ea02e32be3b30fdac052]
- RMPD    [Variability] [Paper: Univariate...] [2009-12-17 22:44:33] [8cf9233b7464ea02e32be3b30fdac052]
- RMPD    [Box-Cox Linearity Plot] [Paper: Bivariate ...] [2009-12-17 22:53:14] [8cf9233b7464ea02e32be3b30fdac052]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
114
116
153
162
161
149
139
135
130
127
122
117
112
113
149
157
157
147
137
132
125
123
117
114
111
112
144
150
149
134
123
116
117
111
105
102
95
93
124
130
124
115
106
105
105
101
95
93
84
87
116
120
117
109
105
107
109
109
108
107

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69120&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69120&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69120&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0184.9626870888393.31427163237317
0.0286.5396993832753.75664752051617
0.0388.36676498608983.90235378156494
0.0490.1568021403213.7249946027237
0.0591.77666185950333.47765793632511
0.0693.2149623790453.39970823209947
0.0794.52082190120423.54258870863402
0.0895.7528188637613.80129691205656
0.0996.95012813067254.04059997528096
0.198.12424058073564.16582534194015
0.1199.26412136836684.13542960973586
0.12100.3470112818293.95287039993088
0.13101.3490932986093.65231133690012
0.14102.2529810277883.28358473726571
0.15103.0512362363332.89832640898024
0.16103.7464986508372.54087811830586
0.17104.3494009693892.24271832943324
0.18104.8754919052602.02019624449805
0.19105.3421419152331.87478866882938
0.2105.7660462094291.7966433100666
0.21106.1615915401871.76944396768222
0.22106.5400849481751.77583147869832
0.23106.9096773682321.80170726359928
0.24107.2757456414211.83692691598718
0.25107.6414995396431.87521589241907
0.26108.0086273335151.91338191274937
0.27108.3778582010921.95018073182701
0.28108.7493828980431.98513384275635
0.29109.1231238556512.01823108980571
0.3109.498877593262.04943308073070
0.31109.8763667352492.07808892046222
0.32110.2552399717162.10367710346686
0.33110.6350512395402.12529691062248
0.34111.0152392138952.14207697922646
0.35111.3951186517522.15335115321603
0.36111.7738883397982.15830520308050
0.37112.1506568973962.15670951355866
0.38112.5244867767862.14821109255358
0.39112.8944571173562.13294005776594
0.4113.2597461725362.11148199094459
0.41113.6197327275832.08500239108558
0.42113.9741128173572.05556430863946
0.43114.3230234365052.02602971706492
0.44114.6671597582202.00025104705534
0.45115.0078679959201.98282705832439
0.46115.3471939000761.97909545510700
0.47115.6878681849571.99423536296397
0.48116.0332155926492.03273643459116
0.49116.3869837211932.09730897529464
0.5116.7531001797892.1886284863336
0.51117.1353802388872.30440639287729
0.52117.5372194215972.44012927254492
0.53117.9613136940352.58897658908680
0.54118.4094516230492.74315547376283
0.55118.8824165749592.89468944893714
0.56119.3800226909103.03668579878466
0.57119.9012877227713.16389083780529
0.58120.4447222630493.27405151729403
0.59121.0086930291053.3676634200329
0.6121.5918024895983.44814625014526
0.61122.1932221949713.52130126409395
0.62122.8129246921183.59423409288566
0.63123.4517781991163.67382506690174
0.64124.1114958230653.76573027370997
0.65124.7944613062683.87311363347410
0.66125.5034792652543.99658764623039
0.67126.2415132270444.13423427299971
0.68127.0114749602024.28259881686185
0.69127.8161122057984.43809676819509
0.7128.6580111241024.59773343810432
0.71129.5396902630924.76053074020503
0.72130.4637230187894.92725952156429
0.73131.4327952639365.10003604987097
0.74132.4495938626155.2806380901419
0.75133.5164381068945.46934891816251
0.76134.6346138400945.66198104247382
0.77135.8034474150135.84862594388132
0.78137.0192541371286.01289990290806
0.79138.2743950669446.132741316873
0.8139.5567504440276.18294049691267
0.81140.8499362714486.14005248689634
0.82142.1345234988465.98752424253641
0.83143.3903491638085.72093368408427
0.84144.5997409664595.35280902931714
0.85145.7511492005044.9141137159457
0.86146.8423701109134.45336447617173
0.87147.8823674094084.03086055582656
0.88148.8907893886833.70777055957418
0.89149.894750802033.52675974046016
0.9150.9233092512773.48906418625161
0.91152.0011012469833.54654407303575
0.92153.1432891405573.62124352177383
0.93154.3535665756923.64124462996992
0.94155.6249897444443.57066782482961
0.95156.9404369890723.41499110434676
0.96158.2678186622113.18245974140485
0.97159.5479723196312.82161101836884
0.98160.6821078371482.24338639286497
0.99161.5379194587231.50707872299485

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.962687088839 & 3.31427163237317 \tabularnewline
0.02 & 86.539699383275 & 3.75664752051617 \tabularnewline
0.03 & 88.3667649860898 & 3.90235378156494 \tabularnewline
0.04 & 90.156802140321 & 3.7249946027237 \tabularnewline
0.05 & 91.7766618595033 & 3.47765793632511 \tabularnewline
0.06 & 93.214962379045 & 3.39970823209947 \tabularnewline
0.07 & 94.5208219012042 & 3.54258870863402 \tabularnewline
0.08 & 95.752818863761 & 3.80129691205656 \tabularnewline
0.09 & 96.9501281306725 & 4.04059997528096 \tabularnewline
0.1 & 98.1242405807356 & 4.16582534194015 \tabularnewline
0.11 & 99.2641213683668 & 4.13542960973586 \tabularnewline
0.12 & 100.347011281829 & 3.95287039993088 \tabularnewline
0.13 & 101.349093298609 & 3.65231133690012 \tabularnewline
0.14 & 102.252981027788 & 3.28358473726571 \tabularnewline
0.15 & 103.051236236333 & 2.89832640898024 \tabularnewline
0.16 & 103.746498650837 & 2.54087811830586 \tabularnewline
0.17 & 104.349400969389 & 2.24271832943324 \tabularnewline
0.18 & 104.875491905260 & 2.02019624449805 \tabularnewline
0.19 & 105.342141915233 & 1.87478866882938 \tabularnewline
0.2 & 105.766046209429 & 1.7966433100666 \tabularnewline
0.21 & 106.161591540187 & 1.76944396768222 \tabularnewline
0.22 & 106.540084948175 & 1.77583147869832 \tabularnewline
0.23 & 106.909677368232 & 1.80170726359928 \tabularnewline
0.24 & 107.275745641421 & 1.83692691598718 \tabularnewline
0.25 & 107.641499539643 & 1.87521589241907 \tabularnewline
0.26 & 108.008627333515 & 1.91338191274937 \tabularnewline
0.27 & 108.377858201092 & 1.95018073182701 \tabularnewline
0.28 & 108.749382898043 & 1.98513384275635 \tabularnewline
0.29 & 109.123123855651 & 2.01823108980571 \tabularnewline
0.3 & 109.49887759326 & 2.04943308073070 \tabularnewline
0.31 & 109.876366735249 & 2.07808892046222 \tabularnewline
0.32 & 110.255239971716 & 2.10367710346686 \tabularnewline
0.33 & 110.635051239540 & 2.12529691062248 \tabularnewline
0.34 & 111.015239213895 & 2.14207697922646 \tabularnewline
0.35 & 111.395118651752 & 2.15335115321603 \tabularnewline
0.36 & 111.773888339798 & 2.15830520308050 \tabularnewline
0.37 & 112.150656897396 & 2.15670951355866 \tabularnewline
0.38 & 112.524486776786 & 2.14821109255358 \tabularnewline
0.39 & 112.894457117356 & 2.13294005776594 \tabularnewline
0.4 & 113.259746172536 & 2.11148199094459 \tabularnewline
0.41 & 113.619732727583 & 2.08500239108558 \tabularnewline
0.42 & 113.974112817357 & 2.05556430863946 \tabularnewline
0.43 & 114.323023436505 & 2.02602971706492 \tabularnewline
0.44 & 114.667159758220 & 2.00025104705534 \tabularnewline
0.45 & 115.007867995920 & 1.98282705832439 \tabularnewline
0.46 & 115.347193900076 & 1.97909545510700 \tabularnewline
0.47 & 115.687868184957 & 1.99423536296397 \tabularnewline
0.48 & 116.033215592649 & 2.03273643459116 \tabularnewline
0.49 & 116.386983721193 & 2.09730897529464 \tabularnewline
0.5 & 116.753100179789 & 2.1886284863336 \tabularnewline
0.51 & 117.135380238887 & 2.30440639287729 \tabularnewline
0.52 & 117.537219421597 & 2.44012927254492 \tabularnewline
0.53 & 117.961313694035 & 2.58897658908680 \tabularnewline
0.54 & 118.409451623049 & 2.74315547376283 \tabularnewline
0.55 & 118.882416574959 & 2.89468944893714 \tabularnewline
0.56 & 119.380022690910 & 3.03668579878466 \tabularnewline
0.57 & 119.901287722771 & 3.16389083780529 \tabularnewline
0.58 & 120.444722263049 & 3.27405151729403 \tabularnewline
0.59 & 121.008693029105 & 3.3676634200329 \tabularnewline
0.6 & 121.591802489598 & 3.44814625014526 \tabularnewline
0.61 & 122.193222194971 & 3.52130126409395 \tabularnewline
0.62 & 122.812924692118 & 3.59423409288566 \tabularnewline
0.63 & 123.451778199116 & 3.67382506690174 \tabularnewline
0.64 & 124.111495823065 & 3.76573027370997 \tabularnewline
0.65 & 124.794461306268 & 3.87311363347410 \tabularnewline
0.66 & 125.503479265254 & 3.99658764623039 \tabularnewline
0.67 & 126.241513227044 & 4.13423427299971 \tabularnewline
0.68 & 127.011474960202 & 4.28259881686185 \tabularnewline
0.69 & 127.816112205798 & 4.43809676819509 \tabularnewline
0.7 & 128.658011124102 & 4.59773343810432 \tabularnewline
0.71 & 129.539690263092 & 4.76053074020503 \tabularnewline
0.72 & 130.463723018789 & 4.92725952156429 \tabularnewline
0.73 & 131.432795263936 & 5.10003604987097 \tabularnewline
0.74 & 132.449593862615 & 5.2806380901419 \tabularnewline
0.75 & 133.516438106894 & 5.46934891816251 \tabularnewline
0.76 & 134.634613840094 & 5.66198104247382 \tabularnewline
0.77 & 135.803447415013 & 5.84862594388132 \tabularnewline
0.78 & 137.019254137128 & 6.01289990290806 \tabularnewline
0.79 & 138.274395066944 & 6.132741316873 \tabularnewline
0.8 & 139.556750444027 & 6.18294049691267 \tabularnewline
0.81 & 140.849936271448 & 6.14005248689634 \tabularnewline
0.82 & 142.134523498846 & 5.98752424253641 \tabularnewline
0.83 & 143.390349163808 & 5.72093368408427 \tabularnewline
0.84 & 144.599740966459 & 5.35280902931714 \tabularnewline
0.85 & 145.751149200504 & 4.9141137159457 \tabularnewline
0.86 & 146.842370110913 & 4.45336447617173 \tabularnewline
0.87 & 147.882367409408 & 4.03086055582656 \tabularnewline
0.88 & 148.890789388683 & 3.70777055957418 \tabularnewline
0.89 & 149.89475080203 & 3.52675974046016 \tabularnewline
0.9 & 150.923309251277 & 3.48906418625161 \tabularnewline
0.91 & 152.001101246983 & 3.54654407303575 \tabularnewline
0.92 & 153.143289140557 & 3.62124352177383 \tabularnewline
0.93 & 154.353566575692 & 3.64124462996992 \tabularnewline
0.94 & 155.624989744444 & 3.57066782482961 \tabularnewline
0.95 & 156.940436989072 & 3.41499110434676 \tabularnewline
0.96 & 158.267818662211 & 3.18245974140485 \tabularnewline
0.97 & 159.547972319631 & 2.82161101836884 \tabularnewline
0.98 & 160.682107837148 & 2.24338639286497 \tabularnewline
0.99 & 161.537919458723 & 1.50707872299485 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69120&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]84.962687088839[/C][C]3.31427163237317[/C][/ROW]
[ROW][C]0.02[/C][C]86.539699383275[/C][C]3.75664752051617[/C][/ROW]
[ROW][C]0.03[/C][C]88.3667649860898[/C][C]3.90235378156494[/C][/ROW]
[ROW][C]0.04[/C][C]90.156802140321[/C][C]3.7249946027237[/C][/ROW]
[ROW][C]0.05[/C][C]91.7766618595033[/C][C]3.47765793632511[/C][/ROW]
[ROW][C]0.06[/C][C]93.214962379045[/C][C]3.39970823209947[/C][/ROW]
[ROW][C]0.07[/C][C]94.5208219012042[/C][C]3.54258870863402[/C][/ROW]
[ROW][C]0.08[/C][C]95.752818863761[/C][C]3.80129691205656[/C][/ROW]
[ROW][C]0.09[/C][C]96.9501281306725[/C][C]4.04059997528096[/C][/ROW]
[ROW][C]0.1[/C][C]98.1242405807356[/C][C]4.16582534194015[/C][/ROW]
[ROW][C]0.11[/C][C]99.2641213683668[/C][C]4.13542960973586[/C][/ROW]
[ROW][C]0.12[/C][C]100.347011281829[/C][C]3.95287039993088[/C][/ROW]
[ROW][C]0.13[/C][C]101.349093298609[/C][C]3.65231133690012[/C][/ROW]
[ROW][C]0.14[/C][C]102.252981027788[/C][C]3.28358473726571[/C][/ROW]
[ROW][C]0.15[/C][C]103.051236236333[/C][C]2.89832640898024[/C][/ROW]
[ROW][C]0.16[/C][C]103.746498650837[/C][C]2.54087811830586[/C][/ROW]
[ROW][C]0.17[/C][C]104.349400969389[/C][C]2.24271832943324[/C][/ROW]
[ROW][C]0.18[/C][C]104.875491905260[/C][C]2.02019624449805[/C][/ROW]
[ROW][C]0.19[/C][C]105.342141915233[/C][C]1.87478866882938[/C][/ROW]
[ROW][C]0.2[/C][C]105.766046209429[/C][C]1.7966433100666[/C][/ROW]
[ROW][C]0.21[/C][C]106.161591540187[/C][C]1.76944396768222[/C][/ROW]
[ROW][C]0.22[/C][C]106.540084948175[/C][C]1.77583147869832[/C][/ROW]
[ROW][C]0.23[/C][C]106.909677368232[/C][C]1.80170726359928[/C][/ROW]
[ROW][C]0.24[/C][C]107.275745641421[/C][C]1.83692691598718[/C][/ROW]
[ROW][C]0.25[/C][C]107.641499539643[/C][C]1.87521589241907[/C][/ROW]
[ROW][C]0.26[/C][C]108.008627333515[/C][C]1.91338191274937[/C][/ROW]
[ROW][C]0.27[/C][C]108.377858201092[/C][C]1.95018073182701[/C][/ROW]
[ROW][C]0.28[/C][C]108.749382898043[/C][C]1.98513384275635[/C][/ROW]
[ROW][C]0.29[/C][C]109.123123855651[/C][C]2.01823108980571[/C][/ROW]
[ROW][C]0.3[/C][C]109.49887759326[/C][C]2.04943308073070[/C][/ROW]
[ROW][C]0.31[/C][C]109.876366735249[/C][C]2.07808892046222[/C][/ROW]
[ROW][C]0.32[/C][C]110.255239971716[/C][C]2.10367710346686[/C][/ROW]
[ROW][C]0.33[/C][C]110.635051239540[/C][C]2.12529691062248[/C][/ROW]
[ROW][C]0.34[/C][C]111.015239213895[/C][C]2.14207697922646[/C][/ROW]
[ROW][C]0.35[/C][C]111.395118651752[/C][C]2.15335115321603[/C][/ROW]
[ROW][C]0.36[/C][C]111.773888339798[/C][C]2.15830520308050[/C][/ROW]
[ROW][C]0.37[/C][C]112.150656897396[/C][C]2.15670951355866[/C][/ROW]
[ROW][C]0.38[/C][C]112.524486776786[/C][C]2.14821109255358[/C][/ROW]
[ROW][C]0.39[/C][C]112.894457117356[/C][C]2.13294005776594[/C][/ROW]
[ROW][C]0.4[/C][C]113.259746172536[/C][C]2.11148199094459[/C][/ROW]
[ROW][C]0.41[/C][C]113.619732727583[/C][C]2.08500239108558[/C][/ROW]
[ROW][C]0.42[/C][C]113.974112817357[/C][C]2.05556430863946[/C][/ROW]
[ROW][C]0.43[/C][C]114.323023436505[/C][C]2.02602971706492[/C][/ROW]
[ROW][C]0.44[/C][C]114.667159758220[/C][C]2.00025104705534[/C][/ROW]
[ROW][C]0.45[/C][C]115.007867995920[/C][C]1.98282705832439[/C][/ROW]
[ROW][C]0.46[/C][C]115.347193900076[/C][C]1.97909545510700[/C][/ROW]
[ROW][C]0.47[/C][C]115.687868184957[/C][C]1.99423536296397[/C][/ROW]
[ROW][C]0.48[/C][C]116.033215592649[/C][C]2.03273643459116[/C][/ROW]
[ROW][C]0.49[/C][C]116.386983721193[/C][C]2.09730897529464[/C][/ROW]
[ROW][C]0.5[/C][C]116.753100179789[/C][C]2.1886284863336[/C][/ROW]
[ROW][C]0.51[/C][C]117.135380238887[/C][C]2.30440639287729[/C][/ROW]
[ROW][C]0.52[/C][C]117.537219421597[/C][C]2.44012927254492[/C][/ROW]
[ROW][C]0.53[/C][C]117.961313694035[/C][C]2.58897658908680[/C][/ROW]
[ROW][C]0.54[/C][C]118.409451623049[/C][C]2.74315547376283[/C][/ROW]
[ROW][C]0.55[/C][C]118.882416574959[/C][C]2.89468944893714[/C][/ROW]
[ROW][C]0.56[/C][C]119.380022690910[/C][C]3.03668579878466[/C][/ROW]
[ROW][C]0.57[/C][C]119.901287722771[/C][C]3.16389083780529[/C][/ROW]
[ROW][C]0.58[/C][C]120.444722263049[/C][C]3.27405151729403[/C][/ROW]
[ROW][C]0.59[/C][C]121.008693029105[/C][C]3.3676634200329[/C][/ROW]
[ROW][C]0.6[/C][C]121.591802489598[/C][C]3.44814625014526[/C][/ROW]
[ROW][C]0.61[/C][C]122.193222194971[/C][C]3.52130126409395[/C][/ROW]
[ROW][C]0.62[/C][C]122.812924692118[/C][C]3.59423409288566[/C][/ROW]
[ROW][C]0.63[/C][C]123.451778199116[/C][C]3.67382506690174[/C][/ROW]
[ROW][C]0.64[/C][C]124.111495823065[/C][C]3.76573027370997[/C][/ROW]
[ROW][C]0.65[/C][C]124.794461306268[/C][C]3.87311363347410[/C][/ROW]
[ROW][C]0.66[/C][C]125.503479265254[/C][C]3.99658764623039[/C][/ROW]
[ROW][C]0.67[/C][C]126.241513227044[/C][C]4.13423427299971[/C][/ROW]
[ROW][C]0.68[/C][C]127.011474960202[/C][C]4.28259881686185[/C][/ROW]
[ROW][C]0.69[/C][C]127.816112205798[/C][C]4.43809676819509[/C][/ROW]
[ROW][C]0.7[/C][C]128.658011124102[/C][C]4.59773343810432[/C][/ROW]
[ROW][C]0.71[/C][C]129.539690263092[/C][C]4.76053074020503[/C][/ROW]
[ROW][C]0.72[/C][C]130.463723018789[/C][C]4.92725952156429[/C][/ROW]
[ROW][C]0.73[/C][C]131.432795263936[/C][C]5.10003604987097[/C][/ROW]
[ROW][C]0.74[/C][C]132.449593862615[/C][C]5.2806380901419[/C][/ROW]
[ROW][C]0.75[/C][C]133.516438106894[/C][C]5.46934891816251[/C][/ROW]
[ROW][C]0.76[/C][C]134.634613840094[/C][C]5.66198104247382[/C][/ROW]
[ROW][C]0.77[/C][C]135.803447415013[/C][C]5.84862594388132[/C][/ROW]
[ROW][C]0.78[/C][C]137.019254137128[/C][C]6.01289990290806[/C][/ROW]
[ROW][C]0.79[/C][C]138.274395066944[/C][C]6.132741316873[/C][/ROW]
[ROW][C]0.8[/C][C]139.556750444027[/C][C]6.18294049691267[/C][/ROW]
[ROW][C]0.81[/C][C]140.849936271448[/C][C]6.14005248689634[/C][/ROW]
[ROW][C]0.82[/C][C]142.134523498846[/C][C]5.98752424253641[/C][/ROW]
[ROW][C]0.83[/C][C]143.390349163808[/C][C]5.72093368408427[/C][/ROW]
[ROW][C]0.84[/C][C]144.599740966459[/C][C]5.35280902931714[/C][/ROW]
[ROW][C]0.85[/C][C]145.751149200504[/C][C]4.9141137159457[/C][/ROW]
[ROW][C]0.86[/C][C]146.842370110913[/C][C]4.45336447617173[/C][/ROW]
[ROW][C]0.87[/C][C]147.882367409408[/C][C]4.03086055582656[/C][/ROW]
[ROW][C]0.88[/C][C]148.890789388683[/C][C]3.70777055957418[/C][/ROW]
[ROW][C]0.89[/C][C]149.89475080203[/C][C]3.52675974046016[/C][/ROW]
[ROW][C]0.9[/C][C]150.923309251277[/C][C]3.48906418625161[/C][/ROW]
[ROW][C]0.91[/C][C]152.001101246983[/C][C]3.54654407303575[/C][/ROW]
[ROW][C]0.92[/C][C]153.143289140557[/C][C]3.62124352177383[/C][/ROW]
[ROW][C]0.93[/C][C]154.353566575692[/C][C]3.64124462996992[/C][/ROW]
[ROW][C]0.94[/C][C]155.624989744444[/C][C]3.57066782482961[/C][/ROW]
[ROW][C]0.95[/C][C]156.940436989072[/C][C]3.41499110434676[/C][/ROW]
[ROW][C]0.96[/C][C]158.267818662211[/C][C]3.18245974140485[/C][/ROW]
[ROW][C]0.97[/C][C]159.547972319631[/C][C]2.82161101836884[/C][/ROW]
[ROW][C]0.98[/C][C]160.682107837148[/C][C]2.24338639286497[/C][/ROW]
[ROW][C]0.99[/C][C]161.537919458723[/C][C]1.50707872299485[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69120&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69120&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
0.0184.9626870888393.31427163237317
0.0286.5396993832753.75664752051617
0.0388.36676498608983.90235378156494
0.0490.1568021403213.7249946027237
0.0591.77666185950333.47765793632511
0.0693.2149623790453.39970823209947
0.0794.52082190120423.54258870863402
0.0895.7528188637613.80129691205656
0.0996.95012813067254.04059997528096
0.198.12424058073564.16582534194015
0.1199.26412136836684.13542960973586
0.12100.3470112818293.95287039993088
0.13101.3490932986093.65231133690012
0.14102.2529810277883.28358473726571
0.15103.0512362363332.89832640898024
0.16103.7464986508372.54087811830586
0.17104.3494009693892.24271832943324
0.18104.8754919052602.02019624449805
0.19105.3421419152331.87478866882938
0.2105.7660462094291.7966433100666
0.21106.1615915401871.76944396768222
0.22106.5400849481751.77583147869832
0.23106.9096773682321.80170726359928
0.24107.2757456414211.83692691598718
0.25107.6414995396431.87521589241907
0.26108.0086273335151.91338191274937
0.27108.3778582010921.95018073182701
0.28108.7493828980431.98513384275635
0.29109.1231238556512.01823108980571
0.3109.498877593262.04943308073070
0.31109.8763667352492.07808892046222
0.32110.2552399717162.10367710346686
0.33110.6350512395402.12529691062248
0.34111.0152392138952.14207697922646
0.35111.3951186517522.15335115321603
0.36111.7738883397982.15830520308050
0.37112.1506568973962.15670951355866
0.38112.5244867767862.14821109255358
0.39112.8944571173562.13294005776594
0.4113.2597461725362.11148199094459
0.41113.6197327275832.08500239108558
0.42113.9741128173572.05556430863946
0.43114.3230234365052.02602971706492
0.44114.6671597582202.00025104705534
0.45115.0078679959201.98282705832439
0.46115.3471939000761.97909545510700
0.47115.6878681849571.99423536296397
0.48116.0332155926492.03273643459116
0.49116.3869837211932.09730897529464
0.5116.7531001797892.1886284863336
0.51117.1353802388872.30440639287729
0.52117.5372194215972.44012927254492
0.53117.9613136940352.58897658908680
0.54118.4094516230492.74315547376283
0.55118.8824165749592.89468944893714
0.56119.3800226909103.03668579878466
0.57119.9012877227713.16389083780529
0.58120.4447222630493.27405151729403
0.59121.0086930291053.3676634200329
0.6121.5918024895983.44814625014526
0.61122.1932221949713.52130126409395
0.62122.8129246921183.59423409288566
0.63123.4517781991163.67382506690174
0.64124.1114958230653.76573027370997
0.65124.7944613062683.87311363347410
0.66125.5034792652543.99658764623039
0.67126.2415132270444.13423427299971
0.68127.0114749602024.28259881686185
0.69127.8161122057984.43809676819509
0.7128.6580111241024.59773343810432
0.71129.5396902630924.76053074020503
0.72130.4637230187894.92725952156429
0.73131.4327952639365.10003604987097
0.74132.4495938626155.2806380901419
0.75133.5164381068945.46934891816251
0.76134.6346138400945.66198104247382
0.77135.8034474150135.84862594388132
0.78137.0192541371286.01289990290806
0.79138.2743950669446.132741316873
0.8139.5567504440276.18294049691267
0.81140.8499362714486.14005248689634
0.82142.1345234988465.98752424253641
0.83143.3903491638085.72093368408427
0.84144.5997409664595.35280902931714
0.85145.7511492005044.9141137159457
0.86146.8423701109134.45336447617173
0.87147.8823674094084.03086055582656
0.88148.8907893886833.70777055957418
0.89149.894750802033.52675974046016
0.9150.9233092512773.48906418625161
0.91152.0011012469833.54654407303575
0.92153.1432891405573.62124352177383
0.93154.3535665756923.64124462996992
0.94155.6249897444443.57066782482961
0.95156.9404369890723.41499110434676
0.96158.2678186622113.18245974140485
0.97159.5479723196312.82161101836884
0.98160.6821078371482.24338639286497
0.99161.5379194587231.50707872299485


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')