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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, 17 Feb 2012 11:00:45 -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/2012/Feb/17/t1329494503gdyusoquckjtcw9.htm/, Retrieved Sat, 27 Apr 2024 09:59:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=162769, Retrieved Sat, 27 Apr 2024 09:59:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKEYWORD: KDG201142
Estimated Impact127

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] [Nieuwe personenwa...] [2012-02-17 15:47:58] [cb8210d8f054d565da1456a9f4ea534d]
-    D    [Harrell-Davis Quantiles] [Pakketreizen, Cit...] [2012-02-17 16:00:45] [a05a60a2f3f20a69630af127f5d09cc4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98,01
99,2
100,7
106,41
107,51
107,1
99,75
98,96
107,26
107,11
107,2
107,65
104,78
105,56
107,95
107,11
107,47
107,06
99,71
99,6
107,19
107,26
113,24
113,52
110,48
111,41
115,5
118,32
118,42
117,5
110,23
109,19
118,41
118,3
116,1
114,11
113,41
114,33
116,61
123,64
123,77
123,39
116,03
114,95
123,4
123,53
114,45
114,26
114,35
112,77
115,31
114,93
116,38
115,07
105
103,43
114,52
115,04
117,16
115

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'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162769&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162769&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162769&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.22164905269570.804750988818988
0.0298.52642563379320.647740630252228
0.0398.83997396806870.545650548701735
0.0499.12703844557840.5440301051736
0.0599.39554992916190.650225091680635
0.0699.67196726012610.851597849398469
0.0799.98331346587581.12560468209541
0.08100.3487544435381.43880344420295
0.09100.7766890716031.75021678132473
0.1101.2645508493242.01902297733085
0.11101.8003993226142.21320097895812
0.12102.3658829633662.31531539771511
0.13102.9399032008942.3243282228764
0.14103.5021122814242.25215326667094
0.15104.0355215868752.1187238353233
0.16104.5278799657481.94589891831214
0.17104.9718882533031.75325528998854
0.18105.3645879457451.55552180006199
0.19105.7063482434411.36259731571165
0.2105.9998121900351.18036796245142
0.21106.2490242074791.01228520888281
0.22106.4588191697960.860711598434602
0.23106.6344513053730.72779187964164
0.24106.7813925555950.61565189768317
0.25106.9052249787450.526712099458041
0.26107.0115711439820.463662194987338
0.27107.1060319189690.429151056115493
0.28107.1941209240790.425147849242124
0.29107.2811950689940.45177218657008
0.3107.3723824257010.507273680703393
0.31107.4725062314860.589044929965234
0.32107.5860011016940.69412955987666
0.33107.7168171643540.819180367967037
0.34107.8683105484410.9609360798376
0.35108.043123683441.1146836099167
0.36108.2430645816521.27583643111725
0.37108.4689989308561.438280721407
0.38108.7207710874641.59608501559629
0.39108.9971692922851.74270688321639
0.4109.2959467417471.87227684398105
0.41109.613904256631.97941093012154
0.42109.9470332858192.05947063300378
0.43110.2907110490642.10969538735654
0.44110.6399338074172.12851142955703
0.45110.9895703035122.11557905502392
0.46111.3346157191742.07283440393929
0.47111.6704270782912.00280440052178
0.48111.9929236026851.90944365575623
0.49112.2987396202461.79752805686123
0.5112.5853226223671.67225445371182
0.51112.8509743366081.53886911114301
0.52113.0948376341421.40250413254749
0.53113.3168362575191.26787270920741
0.54113.5175774189231.13866250989112
0.55113.6982291447631.01807065924538
0.56113.8603848515870.908334879945818
0.57114.0059271672050.811110190635738
0.58114.1369016484550.726784642691729
0.59114.2554089797420.655520235799386
0.6114.3635216231830.59671125037237
0.61114.4632278766760.549638494504619
0.62114.5564030588860.513179621926351
0.63114.64480434490.486610216805893
0.64114.7300830021450.468885080094327
0.65114.8138058830720.45956888767322
0.66114.8974774616510.458329591155368
0.67114.9825547294290.464923831528806
0.68115.0704498486250.479083129032376
0.69115.1625191351130.500368496331181
0.7115.260040863070.527998070208397
0.71115.3641874761180.560773860693309
0.72115.4759990780510.597671990387635
0.73115.5963640576580.637174485008017
0.74115.7260097104240.678246809923048
0.75115.8655021216520.719942599896705
0.76116.015252664630.761345344836136
0.77116.1755309345940.801798265041635
0.78116.3464928382770.840647449068426
0.79116.5282477966860.877113114706987
0.8116.7210065908610.910777296319773
0.81116.9253619388990.941839077097448
0.82117.1427427650920.972349558497388
0.83117.3760334372381.0073536293779
0.84117.6302498555981.056433859498
0.85117.9130227933861.13341360318122
0.86118.2344965471841.2535142920806
0.87118.6061901078391.42591985709243
0.88119.0384978355611.64476822632401
0.89119.5369135357981.88371965361841
0.9120.0977277650952.09681425552754
0.91120.7046703121162.22675814710622
0.92121.3283523411592.22069998904083
0.93121.9299546233352.04959321928912
0.94122.4691933143921.72498694745405
0.95122.9144999730821.30236799649193
0.96123.2515210546710.866012318967544
0.97123.4856872207810.499339926313977
0.98123.636601189980.256246643423343
0.99123.7264194973470.148034091291883

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.2216490526957 & 0.804750988818988 \tabularnewline
0.02 & 98.5264256337932 & 0.647740630252228 \tabularnewline
0.03 & 98.8399739680687 & 0.545650548701735 \tabularnewline
0.04 & 99.1270384455784 & 0.5440301051736 \tabularnewline
0.05 & 99.3955499291619 & 0.650225091680635 \tabularnewline
0.06 & 99.6719672601261 & 0.851597849398469 \tabularnewline
0.07 & 99.9833134658758 & 1.12560468209541 \tabularnewline
0.08 & 100.348754443538 & 1.43880344420295 \tabularnewline
0.09 & 100.776689071603 & 1.75021678132473 \tabularnewline
0.1 & 101.264550849324 & 2.01902297733085 \tabularnewline
0.11 & 101.800399322614 & 2.21320097895812 \tabularnewline
0.12 & 102.365882963366 & 2.31531539771511 \tabularnewline
0.13 & 102.939903200894 & 2.3243282228764 \tabularnewline
0.14 & 103.502112281424 & 2.25215326667094 \tabularnewline
0.15 & 104.035521586875 & 2.1187238353233 \tabularnewline
0.16 & 104.527879965748 & 1.94589891831214 \tabularnewline
0.17 & 104.971888253303 & 1.75325528998854 \tabularnewline
0.18 & 105.364587945745 & 1.55552180006199 \tabularnewline
0.19 & 105.706348243441 & 1.36259731571165 \tabularnewline
0.2 & 105.999812190035 & 1.18036796245142 \tabularnewline
0.21 & 106.249024207479 & 1.01228520888281 \tabularnewline
0.22 & 106.458819169796 & 0.860711598434602 \tabularnewline
0.23 & 106.634451305373 & 0.72779187964164 \tabularnewline
0.24 & 106.781392555595 & 0.61565189768317 \tabularnewline
0.25 & 106.905224978745 & 0.526712099458041 \tabularnewline
0.26 & 107.011571143982 & 0.463662194987338 \tabularnewline
0.27 & 107.106031918969 & 0.429151056115493 \tabularnewline
0.28 & 107.194120924079 & 0.425147849242124 \tabularnewline
0.29 & 107.281195068994 & 0.45177218657008 \tabularnewline
0.3 & 107.372382425701 & 0.507273680703393 \tabularnewline
0.31 & 107.472506231486 & 0.589044929965234 \tabularnewline
0.32 & 107.586001101694 & 0.69412955987666 \tabularnewline
0.33 & 107.716817164354 & 0.819180367967037 \tabularnewline
0.34 & 107.868310548441 & 0.9609360798376 \tabularnewline
0.35 & 108.04312368344 & 1.1146836099167 \tabularnewline
0.36 & 108.243064581652 & 1.27583643111725 \tabularnewline
0.37 & 108.468998930856 & 1.438280721407 \tabularnewline
0.38 & 108.720771087464 & 1.59608501559629 \tabularnewline
0.39 & 108.997169292285 & 1.74270688321639 \tabularnewline
0.4 & 109.295946741747 & 1.87227684398105 \tabularnewline
0.41 & 109.61390425663 & 1.97941093012154 \tabularnewline
0.42 & 109.947033285819 & 2.05947063300378 \tabularnewline
0.43 & 110.290711049064 & 2.10969538735654 \tabularnewline
0.44 & 110.639933807417 & 2.12851142955703 \tabularnewline
0.45 & 110.989570303512 & 2.11557905502392 \tabularnewline
0.46 & 111.334615719174 & 2.07283440393929 \tabularnewline
0.47 & 111.670427078291 & 2.00280440052178 \tabularnewline
0.48 & 111.992923602685 & 1.90944365575623 \tabularnewline
0.49 & 112.298739620246 & 1.79752805686123 \tabularnewline
0.5 & 112.585322622367 & 1.67225445371182 \tabularnewline
0.51 & 112.850974336608 & 1.53886911114301 \tabularnewline
0.52 & 113.094837634142 & 1.40250413254749 \tabularnewline
0.53 & 113.316836257519 & 1.26787270920741 \tabularnewline
0.54 & 113.517577418923 & 1.13866250989112 \tabularnewline
0.55 & 113.698229144763 & 1.01807065924538 \tabularnewline
0.56 & 113.860384851587 & 0.908334879945818 \tabularnewline
0.57 & 114.005927167205 & 0.811110190635738 \tabularnewline
0.58 & 114.136901648455 & 0.726784642691729 \tabularnewline
0.59 & 114.255408979742 & 0.655520235799386 \tabularnewline
0.6 & 114.363521623183 & 0.59671125037237 \tabularnewline
0.61 & 114.463227876676 & 0.549638494504619 \tabularnewline
0.62 & 114.556403058886 & 0.513179621926351 \tabularnewline
0.63 & 114.6448043449 & 0.486610216805893 \tabularnewline
0.64 & 114.730083002145 & 0.468885080094327 \tabularnewline
0.65 & 114.813805883072 & 0.45956888767322 \tabularnewline
0.66 & 114.897477461651 & 0.458329591155368 \tabularnewline
0.67 & 114.982554729429 & 0.464923831528806 \tabularnewline
0.68 & 115.070449848625 & 0.479083129032376 \tabularnewline
0.69 & 115.162519135113 & 0.500368496331181 \tabularnewline
0.7 & 115.26004086307 & 0.527998070208397 \tabularnewline
0.71 & 115.364187476118 & 0.560773860693309 \tabularnewline
0.72 & 115.475999078051 & 0.597671990387635 \tabularnewline
0.73 & 115.596364057658 & 0.637174485008017 \tabularnewline
0.74 & 115.726009710424 & 0.678246809923048 \tabularnewline
0.75 & 115.865502121652 & 0.719942599896705 \tabularnewline
0.76 & 116.01525266463 & 0.761345344836136 \tabularnewline
0.77 & 116.175530934594 & 0.801798265041635 \tabularnewline
0.78 & 116.346492838277 & 0.840647449068426 \tabularnewline
0.79 & 116.528247796686 & 0.877113114706987 \tabularnewline
0.8 & 116.721006590861 & 0.910777296319773 \tabularnewline
0.81 & 116.925361938899 & 0.941839077097448 \tabularnewline
0.82 & 117.142742765092 & 0.972349558497388 \tabularnewline
0.83 & 117.376033437238 & 1.0073536293779 \tabularnewline
0.84 & 117.630249855598 & 1.056433859498 \tabularnewline
0.85 & 117.913022793386 & 1.13341360318122 \tabularnewline
0.86 & 118.234496547184 & 1.2535142920806 \tabularnewline
0.87 & 118.606190107839 & 1.42591985709243 \tabularnewline
0.88 & 119.038497835561 & 1.64476822632401 \tabularnewline
0.89 & 119.536913535798 & 1.88371965361841 \tabularnewline
0.9 & 120.097727765095 & 2.09681425552754 \tabularnewline
0.91 & 120.704670312116 & 2.22675814710622 \tabularnewline
0.92 & 121.328352341159 & 2.22069998904083 \tabularnewline
0.93 & 121.929954623335 & 2.04959321928912 \tabularnewline
0.94 & 122.469193314392 & 1.72498694745405 \tabularnewline
0.95 & 122.914499973082 & 1.30236799649193 \tabularnewline
0.96 & 123.251521054671 & 0.866012318967544 \tabularnewline
0.97 & 123.485687220781 & 0.499339926313977 \tabularnewline
0.98 & 123.63660118998 & 0.256246643423343 \tabularnewline
0.99 & 123.726419497347 & 0.148034091291883 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=162769&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]98.2216490526957[/C][C]0.804750988818988[/C][/ROW]
[ROW][C]0.02[/C][C]98.5264256337932[/C][C]0.647740630252228[/C][/ROW]
[ROW][C]0.03[/C][C]98.8399739680687[/C][C]0.545650548701735[/C][/ROW]
[ROW][C]0.04[/C][C]99.1270384455784[/C][C]0.5440301051736[/C][/ROW]
[ROW][C]0.05[/C][C]99.3955499291619[/C][C]0.650225091680635[/C][/ROW]
[ROW][C]0.06[/C][C]99.6719672601261[/C][C]0.851597849398469[/C][/ROW]
[ROW][C]0.07[/C][C]99.9833134658758[/C][C]1.12560468209541[/C][/ROW]
[ROW][C]0.08[/C][C]100.348754443538[/C][C]1.43880344420295[/C][/ROW]
[ROW][C]0.09[/C][C]100.776689071603[/C][C]1.75021678132473[/C][/ROW]
[ROW][C]0.1[/C][C]101.264550849324[/C][C]2.01902297733085[/C][/ROW]
[ROW][C]0.11[/C][C]101.800399322614[/C][C]2.21320097895812[/C][/ROW]
[ROW][C]0.12[/C][C]102.365882963366[/C][C]2.31531539771511[/C][/ROW]
[ROW][C]0.13[/C][C]102.939903200894[/C][C]2.3243282228764[/C][/ROW]
[ROW][C]0.14[/C][C]103.502112281424[/C][C]2.25215326667094[/C][/ROW]
[ROW][C]0.15[/C][C]104.035521586875[/C][C]2.1187238353233[/C][/ROW]
[ROW][C]0.16[/C][C]104.527879965748[/C][C]1.94589891831214[/C][/ROW]
[ROW][C]0.17[/C][C]104.971888253303[/C][C]1.75325528998854[/C][/ROW]
[ROW][C]0.18[/C][C]105.364587945745[/C][C]1.55552180006199[/C][/ROW]
[ROW][C]0.19[/C][C]105.706348243441[/C][C]1.36259731571165[/C][/ROW]
[ROW][C]0.2[/C][C]105.999812190035[/C][C]1.18036796245142[/C][/ROW]
[ROW][C]0.21[/C][C]106.249024207479[/C][C]1.01228520888281[/C][/ROW]
[ROW][C]0.22[/C][C]106.458819169796[/C][C]0.860711598434602[/C][/ROW]
[ROW][C]0.23[/C][C]106.634451305373[/C][C]0.72779187964164[/C][/ROW]
[ROW][C]0.24[/C][C]106.781392555595[/C][C]0.61565189768317[/C][/ROW]
[ROW][C]0.25[/C][C]106.905224978745[/C][C]0.526712099458041[/C][/ROW]
[ROW][C]0.26[/C][C]107.011571143982[/C][C]0.463662194987338[/C][/ROW]
[ROW][C]0.27[/C][C]107.106031918969[/C][C]0.429151056115493[/C][/ROW]
[ROW][C]0.28[/C][C]107.194120924079[/C][C]0.425147849242124[/C][/ROW]
[ROW][C]0.29[/C][C]107.281195068994[/C][C]0.45177218657008[/C][/ROW]
[ROW][C]0.3[/C][C]107.372382425701[/C][C]0.507273680703393[/C][/ROW]
[ROW][C]0.31[/C][C]107.472506231486[/C][C]0.589044929965234[/C][/ROW]
[ROW][C]0.32[/C][C]107.586001101694[/C][C]0.69412955987666[/C][/ROW]
[ROW][C]0.33[/C][C]107.716817164354[/C][C]0.819180367967037[/C][/ROW]
[ROW][C]0.34[/C][C]107.868310548441[/C][C]0.9609360798376[/C][/ROW]
[ROW][C]0.35[/C][C]108.04312368344[/C][C]1.1146836099167[/C][/ROW]
[ROW][C]0.36[/C][C]108.243064581652[/C][C]1.27583643111725[/C][/ROW]
[ROW][C]0.37[/C][C]108.468998930856[/C][C]1.438280721407[/C][/ROW]
[ROW][C]0.38[/C][C]108.720771087464[/C][C]1.59608501559629[/C][/ROW]
[ROW][C]0.39[/C][C]108.997169292285[/C][C]1.74270688321639[/C][/ROW]
[ROW][C]0.4[/C][C]109.295946741747[/C][C]1.87227684398105[/C][/ROW]
[ROW][C]0.41[/C][C]109.61390425663[/C][C]1.97941093012154[/C][/ROW]
[ROW][C]0.42[/C][C]109.947033285819[/C][C]2.05947063300378[/C][/ROW]
[ROW][C]0.43[/C][C]110.290711049064[/C][C]2.10969538735654[/C][/ROW]
[ROW][C]0.44[/C][C]110.639933807417[/C][C]2.12851142955703[/C][/ROW]
[ROW][C]0.45[/C][C]110.989570303512[/C][C]2.11557905502392[/C][/ROW]
[ROW][C]0.46[/C][C]111.334615719174[/C][C]2.07283440393929[/C][/ROW]
[ROW][C]0.47[/C][C]111.670427078291[/C][C]2.00280440052178[/C][/ROW]
[ROW][C]0.48[/C][C]111.992923602685[/C][C]1.90944365575623[/C][/ROW]
[ROW][C]0.49[/C][C]112.298739620246[/C][C]1.79752805686123[/C][/ROW]
[ROW][C]0.5[/C][C]112.585322622367[/C][C]1.67225445371182[/C][/ROW]
[ROW][C]0.51[/C][C]112.850974336608[/C][C]1.53886911114301[/C][/ROW]
[ROW][C]0.52[/C][C]113.094837634142[/C][C]1.40250413254749[/C][/ROW]
[ROW][C]0.53[/C][C]113.316836257519[/C][C]1.26787270920741[/C][/ROW]
[ROW][C]0.54[/C][C]113.517577418923[/C][C]1.13866250989112[/C][/ROW]
[ROW][C]0.55[/C][C]113.698229144763[/C][C]1.01807065924538[/C][/ROW]
[ROW][C]0.56[/C][C]113.860384851587[/C][C]0.908334879945818[/C][/ROW]
[ROW][C]0.57[/C][C]114.005927167205[/C][C]0.811110190635738[/C][/ROW]
[ROW][C]0.58[/C][C]114.136901648455[/C][C]0.726784642691729[/C][/ROW]
[ROW][C]0.59[/C][C]114.255408979742[/C][C]0.655520235799386[/C][/ROW]
[ROW][C]0.6[/C][C]114.363521623183[/C][C]0.59671125037237[/C][/ROW]
[ROW][C]0.61[/C][C]114.463227876676[/C][C]0.549638494504619[/C][/ROW]
[ROW][C]0.62[/C][C]114.556403058886[/C][C]0.513179621926351[/C][/ROW]
[ROW][C]0.63[/C][C]114.6448043449[/C][C]0.486610216805893[/C][/ROW]
[ROW][C]0.64[/C][C]114.730083002145[/C][C]0.468885080094327[/C][/ROW]
[ROW][C]0.65[/C][C]114.813805883072[/C][C]0.45956888767322[/C][/ROW]
[ROW][C]0.66[/C][C]114.897477461651[/C][C]0.458329591155368[/C][/ROW]
[ROW][C]0.67[/C][C]114.982554729429[/C][C]0.464923831528806[/C][/ROW]
[ROW][C]0.68[/C][C]115.070449848625[/C][C]0.479083129032376[/C][/ROW]
[ROW][C]0.69[/C][C]115.162519135113[/C][C]0.500368496331181[/C][/ROW]
[ROW][C]0.7[/C][C]115.26004086307[/C][C]0.527998070208397[/C][/ROW]
[ROW][C]0.71[/C][C]115.364187476118[/C][C]0.560773860693309[/C][/ROW]
[ROW][C]0.72[/C][C]115.475999078051[/C][C]0.597671990387635[/C][/ROW]
[ROW][C]0.73[/C][C]115.596364057658[/C][C]0.637174485008017[/C][/ROW]
[ROW][C]0.74[/C][C]115.726009710424[/C][C]0.678246809923048[/C][/ROW]
[ROW][C]0.75[/C][C]115.865502121652[/C][C]0.719942599896705[/C][/ROW]
[ROW][C]0.76[/C][C]116.01525266463[/C][C]0.761345344836136[/C][/ROW]
[ROW][C]0.77[/C][C]116.175530934594[/C][C]0.801798265041635[/C][/ROW]
[ROW][C]0.78[/C][C]116.346492838277[/C][C]0.840647449068426[/C][/ROW]
[ROW][C]0.79[/C][C]116.528247796686[/C][C]0.877113114706987[/C][/ROW]
[ROW][C]0.8[/C][C]116.721006590861[/C][C]0.910777296319773[/C][/ROW]
[ROW][C]0.81[/C][C]116.925361938899[/C][C]0.941839077097448[/C][/ROW]
[ROW][C]0.82[/C][C]117.142742765092[/C][C]0.972349558497388[/C][/ROW]
[ROW][C]0.83[/C][C]117.376033437238[/C][C]1.0073536293779[/C][/ROW]
[ROW][C]0.84[/C][C]117.630249855598[/C][C]1.056433859498[/C][/ROW]
[ROW][C]0.85[/C][C]117.913022793386[/C][C]1.13341360318122[/C][/ROW]
[ROW][C]0.86[/C][C]118.234496547184[/C][C]1.2535142920806[/C][/ROW]
[ROW][C]0.87[/C][C]118.606190107839[/C][C]1.42591985709243[/C][/ROW]
[ROW][C]0.88[/C][C]119.038497835561[/C][C]1.64476822632401[/C][/ROW]
[ROW][C]0.89[/C][C]119.536913535798[/C][C]1.88371965361841[/C][/ROW]
[ROW][C]0.9[/C][C]120.097727765095[/C][C]2.09681425552754[/C][/ROW]
[ROW][C]0.91[/C][C]120.704670312116[/C][C]2.22675814710622[/C][/ROW]
[ROW][C]0.92[/C][C]121.328352341159[/C][C]2.22069998904083[/C][/ROW]
[ROW][C]0.93[/C][C]121.929954623335[/C][C]2.04959321928912[/C][/ROW]
[ROW][C]0.94[/C][C]122.469193314392[/C][C]1.72498694745405[/C][/ROW]
[ROW][C]0.95[/C][C]122.914499973082[/C][C]1.30236799649193[/C][/ROW]
[ROW][C]0.96[/C][C]123.251521054671[/C][C]0.866012318967544[/C][/ROW]
[ROW][C]0.97[/C][C]123.485687220781[/C][C]0.499339926313977[/C][/ROW]
[ROW][C]0.98[/C][C]123.63660118998[/C][C]0.256246643423343[/C][/ROW]
[ROW][C]0.99[/C][C]123.726419497347[/C][C]0.148034091291883[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=162769&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=162769&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
0.0198.22164905269570.804750988818988
0.0298.52642563379320.647740630252228
0.0398.83997396806870.545650548701735
0.0499.12703844557840.5440301051736
0.0599.39554992916190.650225091680635
0.0699.67196726012610.851597849398469
0.0799.98331346587581.12560468209541
0.08100.3487544435381.43880344420295
0.09100.7766890716031.75021678132473
0.1101.2645508493242.01902297733085
0.11101.8003993226142.21320097895812
0.12102.3658829633662.31531539771511
0.13102.9399032008942.3243282228764
0.14103.5021122814242.25215326667094
0.15104.0355215868752.1187238353233
0.16104.5278799657481.94589891831214
0.17104.9718882533031.75325528998854
0.18105.3645879457451.55552180006199
0.19105.7063482434411.36259731571165
0.2105.9998121900351.18036796245142
0.21106.2490242074791.01228520888281
0.22106.4588191697960.860711598434602
0.23106.6344513053730.72779187964164
0.24106.7813925555950.61565189768317
0.25106.9052249787450.526712099458041
0.26107.0115711439820.463662194987338
0.27107.1060319189690.429151056115493
0.28107.1941209240790.425147849242124
0.29107.2811950689940.45177218657008
0.3107.3723824257010.507273680703393
0.31107.4725062314860.589044929965234
0.32107.5860011016940.69412955987666
0.33107.7168171643540.819180367967037
0.34107.8683105484410.9609360798376
0.35108.043123683441.1146836099167
0.36108.2430645816521.27583643111725
0.37108.4689989308561.438280721407
0.38108.7207710874641.59608501559629
0.39108.9971692922851.74270688321639
0.4109.2959467417471.87227684398105
0.41109.613904256631.97941093012154
0.42109.9470332858192.05947063300378
0.43110.2907110490642.10969538735654
0.44110.6399338074172.12851142955703
0.45110.9895703035122.11557905502392
0.46111.3346157191742.07283440393929
0.47111.6704270782912.00280440052178
0.48111.9929236026851.90944365575623
0.49112.2987396202461.79752805686123
0.5112.5853226223671.67225445371182
0.51112.8509743366081.53886911114301
0.52113.0948376341421.40250413254749
0.53113.3168362575191.26787270920741
0.54113.5175774189231.13866250989112
0.55113.6982291447631.01807065924538
0.56113.8603848515870.908334879945818
0.57114.0059271672050.811110190635738
0.58114.1369016484550.726784642691729
0.59114.2554089797420.655520235799386
0.6114.3635216231830.59671125037237
0.61114.4632278766760.549638494504619
0.62114.5564030588860.513179621926351
0.63114.64480434490.486610216805893
0.64114.7300830021450.468885080094327
0.65114.8138058830720.45956888767322
0.66114.8974774616510.458329591155368
0.67114.9825547294290.464923831528806
0.68115.0704498486250.479083129032376
0.69115.1625191351130.500368496331181
0.7115.260040863070.527998070208397
0.71115.3641874761180.560773860693309
0.72115.4759990780510.597671990387635
0.73115.5963640576580.637174485008017
0.74115.7260097104240.678246809923048
0.75115.8655021216520.719942599896705
0.76116.015252664630.761345344836136
0.77116.1755309345940.801798265041635
0.78116.3464928382770.840647449068426
0.79116.5282477966860.877113114706987
0.8116.7210065908610.910777296319773
0.81116.9253619388990.941839077097448
0.82117.1427427650920.972349558497388
0.83117.3760334372381.0073536293779
0.84117.6302498555981.056433859498
0.85117.9130227933861.13341360318122
0.86118.2344965471841.2535142920806
0.87118.6061901078391.42591985709243
0.88119.0384978355611.64476822632401
0.89119.5369135357981.88371965361841
0.9120.0977277650952.09681425552754
0.91120.7046703121162.22675814710622
0.92121.3283523411592.22069998904083
0.93121.9299546233352.04959321928912
0.94122.4691933143921.72498694745405
0.95122.9144999730821.30236799649193
0.96123.2515210546710.866012318967544
0.97123.4856872207810.499339926313977
0.98123.636601189980.256246643423343
0.99123.7264194973470.148034091291883


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')