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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, 19 Oct 2009 04:31:33 -0600
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/Oct/19/t1255948487ytkkvln4709s34w.htm/, Retrieved Mon, 29 Apr 2024 20:03:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47672, Retrieved Mon, 29 Apr 2024 20:03:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact102

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2009-10-19 10:31:33] [ab5cffebaafedfca74d2c063d2ba2ba4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,7
105,9
115,4
113,9
121,5
119,5
115,8
116,3
113,5
110,7
116,9
141,1
101,8
102,9
119
112,8
120,9
123,1
121,9
119,4
110,9
116,8
120,6
143,3
106,4
106,9
125,6
110,9
127
124,3
121,3
124,4
113,2
120,2
122,6
143,3
106,5
105,9
114
121,6
119,7
122,5
126,5
118,2
115,5
120,1
115,3
146,5
107,7
106,3
121,8
115,8
115,4
124,3
121,7
118,7
113,5
113,4
115,1
144,2
100,9
103,2
121,3
111,9
117,3
124,2
122
119,6
114,9
112,2
115,3
143
104
105,3
124,3
114,1
124,8
131,9
125,8
125,2
119,8
116,2
120,2
148,6
109,4
109,6
135,2
115,2
129,1
138,8
126
130,7
120,5
126,5
128
151,7
114,8
118,9
131,5
124,8
137
137,1
137
131,3
126
129,7
125,1
157,8

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47672&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47672&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47672&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01100.9970993156470.602397277746943
0.02101.6245586439211.03512158080520
0.03102.4135451066061.24699658540662
0.04103.2225331695181.34226932849286
0.05103.986206518381.36581363511542
0.06104.6781747462231.30857864367055
0.07105.2888444957151.21133697904986
0.08105.8286164001431.16020197434784
0.09106.3285458205481.22007808248991
0.1106.8280610306581.38626293276706
0.11107.3584269296701.60140432211377
0.12107.9324051256491.79998216074328
0.13108.5435919669431.93510412918404
0.14109.1728442360091.98761925884733
0.15109.7969859004981.96341978309306
0.16110.3958104118191.8833335196394
0.17110.9555825740041.77050801576934
0.18111.4693364373581.64328083592609
0.19111.9353804569671.51316838825135
0.2112.3554334243751.38732906221158
0.21112.7331811123201.27060114295926
0.22113.0733672758161.16661321234333
0.23113.3811852510421.07840256352427
0.24113.6617484693891.00578111306129
0.25113.9196044842690.945933477001782
0.26114.1584106461250.894906813849189
0.27114.3809070739120.848790285300878
0.28114.5892213348430.806405035188599
0.29114.7854024244450.769482782011002
0.3114.9719904662580.74288519962164
0.31115.1524210468490.73235245885363
0.32115.3311290415950.744211662818511
0.33115.5133172703320.781574353906782
0.34115.7044486337320.844258051561159
0.35115.9095800943020.928269624173533
0.36116.1326768684351.02646476395426
0.37116.3760340526221.12934865967436
0.38116.6399039441211.22757195669824
0.39116.9223906972561.31097146841002
0.4117.2196340890221.37171775175097
0.41117.5262620805371.40395810862336
0.42117.8360495558551.40542851783267
0.43118.1426838943331.37756985275040
0.44118.4405157795451.32493742663787
0.45118.7251740768451.25515098150832
0.46118.9939497598901.17656848742631
0.47119.2459011072261.09753429504137
0.48119.4816893892471.02547338612273
0.49119.7032068385140.965234249592442
0.5119.9130945401150.919363544105552
0.51120.1142599945160.88742127414006
0.52120.3094917745380.867574532357588
0.53120.5012363511490.857172737253272
0.54120.6915574045970.854361506459274
0.55120.882249923990.857707501132244
0.56121.0750399210180.86757169945753
0.57121.2717753138000.885420647464278
0.58121.4745125680910.913067589698699
0.59121.6854310060230.951126209756955
0.6121.9065592660100.998642124339732
0.61122.1393643970381.05188728659389
0.62122.3843140945821.10478489208312
0.63122.6405547330081.15014946839318
0.64122.9058358015621.18100158110357
0.65123.1767525703791.19257198662465
0.66123.4492888093351.18315876236315
0.67123.7195506959041.15509327063953
0.68123.9845264509381.11406462834820
0.69124.2427076986581.06843239366828
0.7124.4944686241321.02723192100751
0.71124.7421915944760.999086882641387
0.72124.9902096693290.991633081447516
0.73125.24466637981.01084538577299
0.74125.5133545897611.06222332847424
0.75125.8055103918941.14987967761143
0.76126.1314604956421.27644570619196
0.77126.5020181883031.44100572649755
0.78126.9276293739221.63794323774397
0.79127.4174526917741.85743147641327
0.8127.9787025492232.08740916408181
0.81128.6165444624552.31758271404597
0.82129.3345384870782.542050702027
0.83130.1352048368522.75950360815353
0.84131.0200694269902.96822503651317
0.85131.9888656990173.16114483024169
0.86133.0383596110873.32277153206688
0.87134.1618379531063.43626644430312
0.88135.3497494918193.49308783489812
0.89136.5903242314653.49640209936503
0.9137.8680633712743.44726879735016
0.91139.1604639521803.32678168045957
0.92140.4391867107963.10590670118561
0.93141.6852120439492.79639618104426
0.94142.9198085700612.50791159381319
0.95144.2354046474592.42809156045615
0.96145.8051762377282.65754463294107
0.97147.8850106571523.10305509884625
0.98150.8211148750263.72053611970131
0.99154.6813356919934.79570851319176

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.997099315647 & 0.602397277746943 \tabularnewline
0.02 & 101.624558643921 & 1.03512158080520 \tabularnewline
0.03 & 102.413545106606 & 1.24699658540662 \tabularnewline
0.04 & 103.222533169518 & 1.34226932849286 \tabularnewline
0.05 & 103.98620651838 & 1.36581363511542 \tabularnewline
0.06 & 104.678174746223 & 1.30857864367055 \tabularnewline
0.07 & 105.288844495715 & 1.21133697904986 \tabularnewline
0.08 & 105.828616400143 & 1.16020197434784 \tabularnewline
0.09 & 106.328545820548 & 1.22007808248991 \tabularnewline
0.1 & 106.828061030658 & 1.38626293276706 \tabularnewline
0.11 & 107.358426929670 & 1.60140432211377 \tabularnewline
0.12 & 107.932405125649 & 1.79998216074328 \tabularnewline
0.13 & 108.543591966943 & 1.93510412918404 \tabularnewline
0.14 & 109.172844236009 & 1.98761925884733 \tabularnewline
0.15 & 109.796985900498 & 1.96341978309306 \tabularnewline
0.16 & 110.395810411819 & 1.8833335196394 \tabularnewline
0.17 & 110.955582574004 & 1.77050801576934 \tabularnewline
0.18 & 111.469336437358 & 1.64328083592609 \tabularnewline
0.19 & 111.935380456967 & 1.51316838825135 \tabularnewline
0.2 & 112.355433424375 & 1.38732906221158 \tabularnewline
0.21 & 112.733181112320 & 1.27060114295926 \tabularnewline
0.22 & 113.073367275816 & 1.16661321234333 \tabularnewline
0.23 & 113.381185251042 & 1.07840256352427 \tabularnewline
0.24 & 113.661748469389 & 1.00578111306129 \tabularnewline
0.25 & 113.919604484269 & 0.945933477001782 \tabularnewline
0.26 & 114.158410646125 & 0.894906813849189 \tabularnewline
0.27 & 114.380907073912 & 0.848790285300878 \tabularnewline
0.28 & 114.589221334843 & 0.806405035188599 \tabularnewline
0.29 & 114.785402424445 & 0.769482782011002 \tabularnewline
0.3 & 114.971990466258 & 0.74288519962164 \tabularnewline
0.31 & 115.152421046849 & 0.73235245885363 \tabularnewline
0.32 & 115.331129041595 & 0.744211662818511 \tabularnewline
0.33 & 115.513317270332 & 0.781574353906782 \tabularnewline
0.34 & 115.704448633732 & 0.844258051561159 \tabularnewline
0.35 & 115.909580094302 & 0.928269624173533 \tabularnewline
0.36 & 116.132676868435 & 1.02646476395426 \tabularnewline
0.37 & 116.376034052622 & 1.12934865967436 \tabularnewline
0.38 & 116.639903944121 & 1.22757195669824 \tabularnewline
0.39 & 116.922390697256 & 1.31097146841002 \tabularnewline
0.4 & 117.219634089022 & 1.37171775175097 \tabularnewline
0.41 & 117.526262080537 & 1.40395810862336 \tabularnewline
0.42 & 117.836049555855 & 1.40542851783267 \tabularnewline
0.43 & 118.142683894333 & 1.37756985275040 \tabularnewline
0.44 & 118.440515779545 & 1.32493742663787 \tabularnewline
0.45 & 118.725174076845 & 1.25515098150832 \tabularnewline
0.46 & 118.993949759890 & 1.17656848742631 \tabularnewline
0.47 & 119.245901107226 & 1.09753429504137 \tabularnewline
0.48 & 119.481689389247 & 1.02547338612273 \tabularnewline
0.49 & 119.703206838514 & 0.965234249592442 \tabularnewline
0.5 & 119.913094540115 & 0.919363544105552 \tabularnewline
0.51 & 120.114259994516 & 0.88742127414006 \tabularnewline
0.52 & 120.309491774538 & 0.867574532357588 \tabularnewline
0.53 & 120.501236351149 & 0.857172737253272 \tabularnewline
0.54 & 120.691557404597 & 0.854361506459274 \tabularnewline
0.55 & 120.88224992399 & 0.857707501132244 \tabularnewline
0.56 & 121.075039921018 & 0.86757169945753 \tabularnewline
0.57 & 121.271775313800 & 0.885420647464278 \tabularnewline
0.58 & 121.474512568091 & 0.913067589698699 \tabularnewline
0.59 & 121.685431006023 & 0.951126209756955 \tabularnewline
0.6 & 121.906559266010 & 0.998642124339732 \tabularnewline
0.61 & 122.139364397038 & 1.05188728659389 \tabularnewline
0.62 & 122.384314094582 & 1.10478489208312 \tabularnewline
0.63 & 122.640554733008 & 1.15014946839318 \tabularnewline
0.64 & 122.905835801562 & 1.18100158110357 \tabularnewline
0.65 & 123.176752570379 & 1.19257198662465 \tabularnewline
0.66 & 123.449288809335 & 1.18315876236315 \tabularnewline
0.67 & 123.719550695904 & 1.15509327063953 \tabularnewline
0.68 & 123.984526450938 & 1.11406462834820 \tabularnewline
0.69 & 124.242707698658 & 1.06843239366828 \tabularnewline
0.7 & 124.494468624132 & 1.02723192100751 \tabularnewline
0.71 & 124.742191594476 & 0.999086882641387 \tabularnewline
0.72 & 124.990209669329 & 0.991633081447516 \tabularnewline
0.73 & 125.2446663798 & 1.01084538577299 \tabularnewline
0.74 & 125.513354589761 & 1.06222332847424 \tabularnewline
0.75 & 125.805510391894 & 1.14987967761143 \tabularnewline
0.76 & 126.131460495642 & 1.27644570619196 \tabularnewline
0.77 & 126.502018188303 & 1.44100572649755 \tabularnewline
0.78 & 126.927629373922 & 1.63794323774397 \tabularnewline
0.79 & 127.417452691774 & 1.85743147641327 \tabularnewline
0.8 & 127.978702549223 & 2.08740916408181 \tabularnewline
0.81 & 128.616544462455 & 2.31758271404597 \tabularnewline
0.82 & 129.334538487078 & 2.542050702027 \tabularnewline
0.83 & 130.135204836852 & 2.75950360815353 \tabularnewline
0.84 & 131.020069426990 & 2.96822503651317 \tabularnewline
0.85 & 131.988865699017 & 3.16114483024169 \tabularnewline
0.86 & 133.038359611087 & 3.32277153206688 \tabularnewline
0.87 & 134.161837953106 & 3.43626644430312 \tabularnewline
0.88 & 135.349749491819 & 3.49308783489812 \tabularnewline
0.89 & 136.590324231465 & 3.49640209936503 \tabularnewline
0.9 & 137.868063371274 & 3.44726879735016 \tabularnewline
0.91 & 139.160463952180 & 3.32678168045957 \tabularnewline
0.92 & 140.439186710796 & 3.10590670118561 \tabularnewline
0.93 & 141.685212043949 & 2.79639618104426 \tabularnewline
0.94 & 142.919808570061 & 2.50791159381319 \tabularnewline
0.95 & 144.235404647459 & 2.42809156045615 \tabularnewline
0.96 & 145.805176237728 & 2.65754463294107 \tabularnewline
0.97 & 147.885010657152 & 3.10305509884625 \tabularnewline
0.98 & 150.821114875026 & 3.72053611970131 \tabularnewline
0.99 & 154.681335691993 & 4.79570851319176 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47672&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]100.997099315647[/C][C]0.602397277746943[/C][/ROW]
[ROW][C]0.02[/C][C]101.624558643921[/C][C]1.03512158080520[/C][/ROW]
[ROW][C]0.03[/C][C]102.413545106606[/C][C]1.24699658540662[/C][/ROW]
[ROW][C]0.04[/C][C]103.222533169518[/C][C]1.34226932849286[/C][/ROW]
[ROW][C]0.05[/C][C]103.98620651838[/C][C]1.36581363511542[/C][/ROW]
[ROW][C]0.06[/C][C]104.678174746223[/C][C]1.30857864367055[/C][/ROW]
[ROW][C]0.07[/C][C]105.288844495715[/C][C]1.21133697904986[/C][/ROW]
[ROW][C]0.08[/C][C]105.828616400143[/C][C]1.16020197434784[/C][/ROW]
[ROW][C]0.09[/C][C]106.328545820548[/C][C]1.22007808248991[/C][/ROW]
[ROW][C]0.1[/C][C]106.828061030658[/C][C]1.38626293276706[/C][/ROW]
[ROW][C]0.11[/C][C]107.358426929670[/C][C]1.60140432211377[/C][/ROW]
[ROW][C]0.12[/C][C]107.932405125649[/C][C]1.79998216074328[/C][/ROW]
[ROW][C]0.13[/C][C]108.543591966943[/C][C]1.93510412918404[/C][/ROW]
[ROW][C]0.14[/C][C]109.172844236009[/C][C]1.98761925884733[/C][/ROW]
[ROW][C]0.15[/C][C]109.796985900498[/C][C]1.96341978309306[/C][/ROW]
[ROW][C]0.16[/C][C]110.395810411819[/C][C]1.8833335196394[/C][/ROW]
[ROW][C]0.17[/C][C]110.955582574004[/C][C]1.77050801576934[/C][/ROW]
[ROW][C]0.18[/C][C]111.469336437358[/C][C]1.64328083592609[/C][/ROW]
[ROW][C]0.19[/C][C]111.935380456967[/C][C]1.51316838825135[/C][/ROW]
[ROW][C]0.2[/C][C]112.355433424375[/C][C]1.38732906221158[/C][/ROW]
[ROW][C]0.21[/C][C]112.733181112320[/C][C]1.27060114295926[/C][/ROW]
[ROW][C]0.22[/C][C]113.073367275816[/C][C]1.16661321234333[/C][/ROW]
[ROW][C]0.23[/C][C]113.381185251042[/C][C]1.07840256352427[/C][/ROW]
[ROW][C]0.24[/C][C]113.661748469389[/C][C]1.00578111306129[/C][/ROW]
[ROW][C]0.25[/C][C]113.919604484269[/C][C]0.945933477001782[/C][/ROW]
[ROW][C]0.26[/C][C]114.158410646125[/C][C]0.894906813849189[/C][/ROW]
[ROW][C]0.27[/C][C]114.380907073912[/C][C]0.848790285300878[/C][/ROW]
[ROW][C]0.28[/C][C]114.589221334843[/C][C]0.806405035188599[/C][/ROW]
[ROW][C]0.29[/C][C]114.785402424445[/C][C]0.769482782011002[/C][/ROW]
[ROW][C]0.3[/C][C]114.971990466258[/C][C]0.74288519962164[/C][/ROW]
[ROW][C]0.31[/C][C]115.152421046849[/C][C]0.73235245885363[/C][/ROW]
[ROW][C]0.32[/C][C]115.331129041595[/C][C]0.744211662818511[/C][/ROW]
[ROW][C]0.33[/C][C]115.513317270332[/C][C]0.781574353906782[/C][/ROW]
[ROW][C]0.34[/C][C]115.704448633732[/C][C]0.844258051561159[/C][/ROW]
[ROW][C]0.35[/C][C]115.909580094302[/C][C]0.928269624173533[/C][/ROW]
[ROW][C]0.36[/C][C]116.132676868435[/C][C]1.02646476395426[/C][/ROW]
[ROW][C]0.37[/C][C]116.376034052622[/C][C]1.12934865967436[/C][/ROW]
[ROW][C]0.38[/C][C]116.639903944121[/C][C]1.22757195669824[/C][/ROW]
[ROW][C]0.39[/C][C]116.922390697256[/C][C]1.31097146841002[/C][/ROW]
[ROW][C]0.4[/C][C]117.219634089022[/C][C]1.37171775175097[/C][/ROW]
[ROW][C]0.41[/C][C]117.526262080537[/C][C]1.40395810862336[/C][/ROW]
[ROW][C]0.42[/C][C]117.836049555855[/C][C]1.40542851783267[/C][/ROW]
[ROW][C]0.43[/C][C]118.142683894333[/C][C]1.37756985275040[/C][/ROW]
[ROW][C]0.44[/C][C]118.440515779545[/C][C]1.32493742663787[/C][/ROW]
[ROW][C]0.45[/C][C]118.725174076845[/C][C]1.25515098150832[/C][/ROW]
[ROW][C]0.46[/C][C]118.993949759890[/C][C]1.17656848742631[/C][/ROW]
[ROW][C]0.47[/C][C]119.245901107226[/C][C]1.09753429504137[/C][/ROW]
[ROW][C]0.48[/C][C]119.481689389247[/C][C]1.02547338612273[/C][/ROW]
[ROW][C]0.49[/C][C]119.703206838514[/C][C]0.965234249592442[/C][/ROW]
[ROW][C]0.5[/C][C]119.913094540115[/C][C]0.919363544105552[/C][/ROW]
[ROW][C]0.51[/C][C]120.114259994516[/C][C]0.88742127414006[/C][/ROW]
[ROW][C]0.52[/C][C]120.309491774538[/C][C]0.867574532357588[/C][/ROW]
[ROW][C]0.53[/C][C]120.501236351149[/C][C]0.857172737253272[/C][/ROW]
[ROW][C]0.54[/C][C]120.691557404597[/C][C]0.854361506459274[/C][/ROW]
[ROW][C]0.55[/C][C]120.88224992399[/C][C]0.857707501132244[/C][/ROW]
[ROW][C]0.56[/C][C]121.075039921018[/C][C]0.86757169945753[/C][/ROW]
[ROW][C]0.57[/C][C]121.271775313800[/C][C]0.885420647464278[/C][/ROW]
[ROW][C]0.58[/C][C]121.474512568091[/C][C]0.913067589698699[/C][/ROW]
[ROW][C]0.59[/C][C]121.685431006023[/C][C]0.951126209756955[/C][/ROW]
[ROW][C]0.6[/C][C]121.906559266010[/C][C]0.998642124339732[/C][/ROW]
[ROW][C]0.61[/C][C]122.139364397038[/C][C]1.05188728659389[/C][/ROW]
[ROW][C]0.62[/C][C]122.384314094582[/C][C]1.10478489208312[/C][/ROW]
[ROW][C]0.63[/C][C]122.640554733008[/C][C]1.15014946839318[/C][/ROW]
[ROW][C]0.64[/C][C]122.905835801562[/C][C]1.18100158110357[/C][/ROW]
[ROW][C]0.65[/C][C]123.176752570379[/C][C]1.19257198662465[/C][/ROW]
[ROW][C]0.66[/C][C]123.449288809335[/C][C]1.18315876236315[/C][/ROW]
[ROW][C]0.67[/C][C]123.719550695904[/C][C]1.15509327063953[/C][/ROW]
[ROW][C]0.68[/C][C]123.984526450938[/C][C]1.11406462834820[/C][/ROW]
[ROW][C]0.69[/C][C]124.242707698658[/C][C]1.06843239366828[/C][/ROW]
[ROW][C]0.7[/C][C]124.494468624132[/C][C]1.02723192100751[/C][/ROW]
[ROW][C]0.71[/C][C]124.742191594476[/C][C]0.999086882641387[/C][/ROW]
[ROW][C]0.72[/C][C]124.990209669329[/C][C]0.991633081447516[/C][/ROW]
[ROW][C]0.73[/C][C]125.2446663798[/C][C]1.01084538577299[/C][/ROW]
[ROW][C]0.74[/C][C]125.513354589761[/C][C]1.06222332847424[/C][/ROW]
[ROW][C]0.75[/C][C]125.805510391894[/C][C]1.14987967761143[/C][/ROW]
[ROW][C]0.76[/C][C]126.131460495642[/C][C]1.27644570619196[/C][/ROW]
[ROW][C]0.77[/C][C]126.502018188303[/C][C]1.44100572649755[/C][/ROW]
[ROW][C]0.78[/C][C]126.927629373922[/C][C]1.63794323774397[/C][/ROW]
[ROW][C]0.79[/C][C]127.417452691774[/C][C]1.85743147641327[/C][/ROW]
[ROW][C]0.8[/C][C]127.978702549223[/C][C]2.08740916408181[/C][/ROW]
[ROW][C]0.81[/C][C]128.616544462455[/C][C]2.31758271404597[/C][/ROW]
[ROW][C]0.82[/C][C]129.334538487078[/C][C]2.542050702027[/C][/ROW]
[ROW][C]0.83[/C][C]130.135204836852[/C][C]2.75950360815353[/C][/ROW]
[ROW][C]0.84[/C][C]131.020069426990[/C][C]2.96822503651317[/C][/ROW]
[ROW][C]0.85[/C][C]131.988865699017[/C][C]3.16114483024169[/C][/ROW]
[ROW][C]0.86[/C][C]133.038359611087[/C][C]3.32277153206688[/C][/ROW]
[ROW][C]0.87[/C][C]134.161837953106[/C][C]3.43626644430312[/C][/ROW]
[ROW][C]0.88[/C][C]135.349749491819[/C][C]3.49308783489812[/C][/ROW]
[ROW][C]0.89[/C][C]136.590324231465[/C][C]3.49640209936503[/C][/ROW]
[ROW][C]0.9[/C][C]137.868063371274[/C][C]3.44726879735016[/C][/ROW]
[ROW][C]0.91[/C][C]139.160463952180[/C][C]3.32678168045957[/C][/ROW]
[ROW][C]0.92[/C][C]140.439186710796[/C][C]3.10590670118561[/C][/ROW]
[ROW][C]0.93[/C][C]141.685212043949[/C][C]2.79639618104426[/C][/ROW]
[ROW][C]0.94[/C][C]142.919808570061[/C][C]2.50791159381319[/C][/ROW]
[ROW][C]0.95[/C][C]144.235404647459[/C][C]2.42809156045615[/C][/ROW]
[ROW][C]0.96[/C][C]145.805176237728[/C][C]2.65754463294107[/C][/ROW]
[ROW][C]0.97[/C][C]147.885010657152[/C][C]3.10305509884625[/C][/ROW]
[ROW][C]0.98[/C][C]150.821114875026[/C][C]3.72053611970131[/C][/ROW]
[ROW][C]0.99[/C][C]154.681335691993[/C][C]4.79570851319176[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47672&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47672&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
0.01100.9970993156470.602397277746943
0.02101.6245586439211.03512158080520
0.03102.4135451066061.24699658540662
0.04103.2225331695181.34226932849286
0.05103.986206518381.36581363511542
0.06104.6781747462231.30857864367055
0.07105.2888444957151.21133697904986
0.08105.8286164001431.16020197434784
0.09106.3285458205481.22007808248991
0.1106.8280610306581.38626293276706
0.11107.3584269296701.60140432211377
0.12107.9324051256491.79998216074328
0.13108.5435919669431.93510412918404
0.14109.1728442360091.98761925884733
0.15109.7969859004981.96341978309306
0.16110.3958104118191.8833335196394
0.17110.9555825740041.77050801576934
0.18111.4693364373581.64328083592609
0.19111.9353804569671.51316838825135
0.2112.3554334243751.38732906221158
0.21112.7331811123201.27060114295926
0.22113.0733672758161.16661321234333
0.23113.3811852510421.07840256352427
0.24113.6617484693891.00578111306129
0.25113.9196044842690.945933477001782
0.26114.1584106461250.894906813849189
0.27114.3809070739120.848790285300878
0.28114.5892213348430.806405035188599
0.29114.7854024244450.769482782011002
0.3114.9719904662580.74288519962164
0.31115.1524210468490.73235245885363
0.32115.3311290415950.744211662818511
0.33115.5133172703320.781574353906782
0.34115.7044486337320.844258051561159
0.35115.9095800943020.928269624173533
0.36116.1326768684351.02646476395426
0.37116.3760340526221.12934865967436
0.38116.6399039441211.22757195669824
0.39116.9223906972561.31097146841002
0.4117.2196340890221.37171775175097
0.41117.5262620805371.40395810862336
0.42117.8360495558551.40542851783267
0.43118.1426838943331.37756985275040
0.44118.4405157795451.32493742663787
0.45118.7251740768451.25515098150832
0.46118.9939497598901.17656848742631
0.47119.2459011072261.09753429504137
0.48119.4816893892471.02547338612273
0.49119.7032068385140.965234249592442
0.5119.9130945401150.919363544105552
0.51120.1142599945160.88742127414006
0.52120.3094917745380.867574532357588
0.53120.5012363511490.857172737253272
0.54120.6915574045970.854361506459274
0.55120.882249923990.857707501132244
0.56121.0750399210180.86757169945753
0.57121.2717753138000.885420647464278
0.58121.4745125680910.913067589698699
0.59121.6854310060230.951126209756955
0.6121.9065592660100.998642124339732
0.61122.1393643970381.05188728659389
0.62122.3843140945821.10478489208312
0.63122.6405547330081.15014946839318
0.64122.9058358015621.18100158110357
0.65123.1767525703791.19257198662465
0.66123.4492888093351.18315876236315
0.67123.7195506959041.15509327063953
0.68123.9845264509381.11406462834820
0.69124.2427076986581.06843239366828
0.7124.4944686241321.02723192100751
0.71124.7421915944760.999086882641387
0.72124.9902096693290.991633081447516
0.73125.24466637981.01084538577299
0.74125.5133545897611.06222332847424
0.75125.8055103918941.14987967761143
0.76126.1314604956421.27644570619196
0.77126.5020181883031.44100572649755
0.78126.9276293739221.63794323774397
0.79127.4174526917741.85743147641327
0.8127.9787025492232.08740916408181
0.81128.6165444624552.31758271404597
0.82129.3345384870782.542050702027
0.83130.1352048368522.75950360815353
0.84131.0200694269902.96822503651317
0.85131.9888656990173.16114483024169
0.86133.0383596110873.32277153206688
0.87134.1618379531063.43626644430312
0.88135.3497494918193.49308783489812
0.89136.5903242314653.49640209936503
0.9137.8680633712743.44726879735016
0.91139.1604639521803.32678168045957
0.92140.4391867107963.10590670118561
0.93141.6852120439492.79639618104426
0.94142.9198085700612.50791159381319
0.95144.2354046474592.42809156045615
0.96145.8051762377282.65754463294107
0.97147.8850106571523.10305509884625
0.98150.8211148750263.72053611970131
0.99154.6813356919934.79570851319176


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')