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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 computationMon, 27 Oct 2008 12:09:47 -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/2008/Oct/27/t1225131473idr5rf0vobnsqnm.htm/, Retrieved Sun, 19 May 2024 07:19:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19366, Retrieved Sun, 19 May 2024 07:19:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [Q9] [2008-10-27 18:09:47] [e4cb5a8878d0401c2e8d19a1768b515b] [Current]
- R  D      [Harrell-Davis Quantiles] [distributions jan...] [2008-11-03 09:08:18] [077ffec662d24c06be4c491541a44245]
Feedback Forum
2008-10-31 20:56:07 [Jan Van Riet] [reply] 
Dit resultaat is fout; We hebben het hier over het betrouwbaarheidsinterval voor de random component, dus van deze gevonden waarden (die juist zijn voor de gehele tijdreeks) moet nog de constante factor nl. het gemiddelde afgetrokken worden.
Dit doen we door dit in een Excel-file eraf te trekken of door een aanpassing te maken in de R-code, nl.: x vervangen door x <- x - gemiddelde.
2008-11-03 09:15:01 [Glenn De Maeyer] [reply] 
Deze conclusie is inderdaad fout. Het gaat hier om de random component. De voorspelling (gemiddelde) dient dus nog in mindering gebracht te worden van de extremen. Indien we dit uitrekenen met de software door x <- x - 106.083333333333 (=gemiddelde) in te voeren in de R-code (zie link: http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/03/t1225703395i6994gqeqncejqd.htm) bekomen we, voor 0,22 en 0,78 (de gevonden standard errors van de student) en de daarmee corresponderende waarden 102.39 en 110.35, het interval -3.69461866385871 en 4.27048195978945.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101,5
101,3
99,3
100,6
101,2
99,8
100,6
101,1
101,2
101,5
102,2
102,5
101,4
103,8
105,2
105,3
104,4
104,9
106,9
107,6
106,7
106,1
106,3
105,8
104,4
103,8
102,4
103,3
103,5
104,5
103,5
103,9
103,1
102,2
104,7
105,9
106,6
106,6
107,5
107,2
109
108,4
107
108
110,8
110,9
109,7
111
111,5
111
111,8
111,4
110,8
111,9
112,9
111,8
111
112,3
112,4
111,1

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19366&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19366&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19366&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.44924871309350.521446296474688
0.0299.6886703594440.558251132688477
0.0399.96044428904420.563181299562515
0.04100.2208080488680.527569974578631
0.05100.4487905213380.471708568478369
0.06100.6398462661770.416075925019485
0.07100.7976193672390.368943196903152
0.08100.9284864039600.330741650969625
0.09101.0390061327850.302071538123809
0.1101.1351465841360.285653792134737
0.11101.2222342856360.284665165507716
0.12101.3050063940400.299875705753701
0.13101.3875550937330.329327663198441
0.14101.4731915498760.369132810751186
0.15101.5643254295530.414927617026854
0.16101.6624277887950.462880707845373
0.17101.7680925455630.509851311896733
0.18101.8811740374280.55309167324231
0.19102.0009637187140.591107619238755
0.2102.1263714985740.62283198993623
0.21102.2560877859490.647919460321333
0.22102.3887146694740.666172303837647
0.23102.5228651686890.677617357719739
0.24102.6572362569980.68272581811775
0.25102.7906637614710.681813510139043
0.26102.9221658523200.67581164521612
0.27103.0509781844500.665751542522676
0.28103.1765798236930.652973918052327
0.29103.2987065866940.639067022443308
0.3103.4173482102110.625558183122652
0.31103.5327276831720.613865403098499
0.32103.6452641711660.60509289034413
0.33103.7555239789410.599817514783683
0.34103.8641658757070.598548815098587
0.35103.9718873353790.601097584289521
0.36104.0793769291920.607329238258419
0.37104.187275840210.616604663761971
0.38104.2961490406550.628571806161146
0.39104.4064647941090.642576737074467
0.4104.5185802404960.657973932340028
0.41104.6327309560800.674282610343052
0.42104.7490233025430.690479184466836
0.43104.8674296514430.705984777521377
0.44104.9877877259310.719728579038138
0.45105.1098059779650.730960169883272
0.46105.2330769373460.739067107260436
0.47105.3570998489050.743199715810238
0.48105.4813128355490.743497977474357
0.49105.6051335546490.739487883584457
0.5105.7280061294430.731596876913417
0.51105.8494512568030.720386768520741
0.52105.9691159464230.706714106058045
0.53106.0868193603860.691930378207881
0.54106.2025916322690.677261587882549
0.55106.3167032212260.664372744008219
0.56106.4296831308400.654951087640522
0.57106.5423250175660.650522874004042
0.58106.6556806704360.652965868029997
0.59106.7710404537580.663466513663145
0.6106.8899000432600.683195476969875
0.61107.0139122462170.713010179456212
0.62107.1448221089270.753015366238591
0.63107.2843832434610.803149329330672
0.64107.4342537954000.862203598596665
0.65107.5958721522140.928732825113838
0.66107.770315622521.00020602606023
0.67107.9581498407241.07326144094820
0.68108.1592820573571.14394431453858
0.69108.3728367547391.20743286841016
0.7108.5970757734061.2588763532651
0.71108.8293858003311.29337834628917
0.72109.0663523657851.30670847403673
0.73109.3039308407211.29580070292330
0.74109.5377118234951.25924411148100
0.75109.7632624929011.19787886172878
0.76109.9765097837211.11430916072603
0.77110.1741189470351.01350018494633
0.78110.3538152931220.90171771416401
0.79110.5145997441240.78631029809908
0.8110.6568206848680.674779616471328
0.81110.7820841377250.573958462401232
0.82110.8930086624920.489359675869461
0.83110.9928569323130.424565788168765
0.84111.0850988819670.380437098611977
0.85111.1729781626950.354697593139533
0.86111.2591609762650.342324852803210
0.87111.3455403216770.337173330677565
0.88111.4332446835700.333777528873857
0.89111.5228547256180.328657039775665
0.9111.6147680028570.320913437193696
0.91111.7095901716470.312076211368495
0.92111.8084157211570.305211181007285
0.93111.9129448336250.302651578097787
0.94112.0255584306340.30341640902632
0.95112.1495417802180.303922748041995
0.96112.2891446424980.30381637489559
0.97112.4477512608870.314444531584377
0.98112.6212427390040.355758055144471
0.99112.7868631587170.427305121114008

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.4492487130935 & 0.521446296474688 \tabularnewline
0.02 & 99.688670359444 & 0.558251132688477 \tabularnewline
0.03 & 99.9604442890442 & 0.563181299562515 \tabularnewline
0.04 & 100.220808048868 & 0.527569974578631 \tabularnewline
0.05 & 100.448790521338 & 0.471708568478369 \tabularnewline
0.06 & 100.639846266177 & 0.416075925019485 \tabularnewline
0.07 & 100.797619367239 & 0.368943196903152 \tabularnewline
0.08 & 100.928486403960 & 0.330741650969625 \tabularnewline
0.09 & 101.039006132785 & 0.302071538123809 \tabularnewline
0.1 & 101.135146584136 & 0.285653792134737 \tabularnewline
0.11 & 101.222234285636 & 0.284665165507716 \tabularnewline
0.12 & 101.305006394040 & 0.299875705753701 \tabularnewline
0.13 & 101.387555093733 & 0.329327663198441 \tabularnewline
0.14 & 101.473191549876 & 0.369132810751186 \tabularnewline
0.15 & 101.564325429553 & 0.414927617026854 \tabularnewline
0.16 & 101.662427788795 & 0.462880707845373 \tabularnewline
0.17 & 101.768092545563 & 0.509851311896733 \tabularnewline
0.18 & 101.881174037428 & 0.55309167324231 \tabularnewline
0.19 & 102.000963718714 & 0.591107619238755 \tabularnewline
0.2 & 102.126371498574 & 0.62283198993623 \tabularnewline
0.21 & 102.256087785949 & 0.647919460321333 \tabularnewline
0.22 & 102.388714669474 & 0.666172303837647 \tabularnewline
0.23 & 102.522865168689 & 0.677617357719739 \tabularnewline
0.24 & 102.657236256998 & 0.68272581811775 \tabularnewline
0.25 & 102.790663761471 & 0.681813510139043 \tabularnewline
0.26 & 102.922165852320 & 0.67581164521612 \tabularnewline
0.27 & 103.050978184450 & 0.665751542522676 \tabularnewline
0.28 & 103.176579823693 & 0.652973918052327 \tabularnewline
0.29 & 103.298706586694 & 0.639067022443308 \tabularnewline
0.3 & 103.417348210211 & 0.625558183122652 \tabularnewline
0.31 & 103.532727683172 & 0.613865403098499 \tabularnewline
0.32 & 103.645264171166 & 0.60509289034413 \tabularnewline
0.33 & 103.755523978941 & 0.599817514783683 \tabularnewline
0.34 & 103.864165875707 & 0.598548815098587 \tabularnewline
0.35 & 103.971887335379 & 0.601097584289521 \tabularnewline
0.36 & 104.079376929192 & 0.607329238258419 \tabularnewline
0.37 & 104.18727584021 & 0.616604663761971 \tabularnewline
0.38 & 104.296149040655 & 0.628571806161146 \tabularnewline
0.39 & 104.406464794109 & 0.642576737074467 \tabularnewline
0.4 & 104.518580240496 & 0.657973932340028 \tabularnewline
0.41 & 104.632730956080 & 0.674282610343052 \tabularnewline
0.42 & 104.749023302543 & 0.690479184466836 \tabularnewline
0.43 & 104.867429651443 & 0.705984777521377 \tabularnewline
0.44 & 104.987787725931 & 0.719728579038138 \tabularnewline
0.45 & 105.109805977965 & 0.730960169883272 \tabularnewline
0.46 & 105.233076937346 & 0.739067107260436 \tabularnewline
0.47 & 105.357099848905 & 0.743199715810238 \tabularnewline
0.48 & 105.481312835549 & 0.743497977474357 \tabularnewline
0.49 & 105.605133554649 & 0.739487883584457 \tabularnewline
0.5 & 105.728006129443 & 0.731596876913417 \tabularnewline
0.51 & 105.849451256803 & 0.720386768520741 \tabularnewline
0.52 & 105.969115946423 & 0.706714106058045 \tabularnewline
0.53 & 106.086819360386 & 0.691930378207881 \tabularnewline
0.54 & 106.202591632269 & 0.677261587882549 \tabularnewline
0.55 & 106.316703221226 & 0.664372744008219 \tabularnewline
0.56 & 106.429683130840 & 0.654951087640522 \tabularnewline
0.57 & 106.542325017566 & 0.650522874004042 \tabularnewline
0.58 & 106.655680670436 & 0.652965868029997 \tabularnewline
0.59 & 106.771040453758 & 0.663466513663145 \tabularnewline
0.6 & 106.889900043260 & 0.683195476969875 \tabularnewline
0.61 & 107.013912246217 & 0.713010179456212 \tabularnewline
0.62 & 107.144822108927 & 0.753015366238591 \tabularnewline
0.63 & 107.284383243461 & 0.803149329330672 \tabularnewline
0.64 & 107.434253795400 & 0.862203598596665 \tabularnewline
0.65 & 107.595872152214 & 0.928732825113838 \tabularnewline
0.66 & 107.77031562252 & 1.00020602606023 \tabularnewline
0.67 & 107.958149840724 & 1.07326144094820 \tabularnewline
0.68 & 108.159282057357 & 1.14394431453858 \tabularnewline
0.69 & 108.372836754739 & 1.20743286841016 \tabularnewline
0.7 & 108.597075773406 & 1.2588763532651 \tabularnewline
0.71 & 108.829385800331 & 1.29337834628917 \tabularnewline
0.72 & 109.066352365785 & 1.30670847403673 \tabularnewline
0.73 & 109.303930840721 & 1.29580070292330 \tabularnewline
0.74 & 109.537711823495 & 1.25924411148100 \tabularnewline
0.75 & 109.763262492901 & 1.19787886172878 \tabularnewline
0.76 & 109.976509783721 & 1.11430916072603 \tabularnewline
0.77 & 110.174118947035 & 1.01350018494633 \tabularnewline
0.78 & 110.353815293122 & 0.90171771416401 \tabularnewline
0.79 & 110.514599744124 & 0.78631029809908 \tabularnewline
0.8 & 110.656820684868 & 0.674779616471328 \tabularnewline
0.81 & 110.782084137725 & 0.573958462401232 \tabularnewline
0.82 & 110.893008662492 & 0.489359675869461 \tabularnewline
0.83 & 110.992856932313 & 0.424565788168765 \tabularnewline
0.84 & 111.085098881967 & 0.380437098611977 \tabularnewline
0.85 & 111.172978162695 & 0.354697593139533 \tabularnewline
0.86 & 111.259160976265 & 0.342324852803210 \tabularnewline
0.87 & 111.345540321677 & 0.337173330677565 \tabularnewline
0.88 & 111.433244683570 & 0.333777528873857 \tabularnewline
0.89 & 111.522854725618 & 0.328657039775665 \tabularnewline
0.9 & 111.614768002857 & 0.320913437193696 \tabularnewline
0.91 & 111.709590171647 & 0.312076211368495 \tabularnewline
0.92 & 111.808415721157 & 0.305211181007285 \tabularnewline
0.93 & 111.912944833625 & 0.302651578097787 \tabularnewline
0.94 & 112.025558430634 & 0.30341640902632 \tabularnewline
0.95 & 112.149541780218 & 0.303922748041995 \tabularnewline
0.96 & 112.289144642498 & 0.30381637489559 \tabularnewline
0.97 & 112.447751260887 & 0.314444531584377 \tabularnewline
0.98 & 112.621242739004 & 0.355758055144471 \tabularnewline
0.99 & 112.786863158717 & 0.427305121114008 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19366&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]99.4492487130935[/C][C]0.521446296474688[/C][/ROW]
[ROW][C]0.02[/C][C]99.688670359444[/C][C]0.558251132688477[/C][/ROW]
[ROW][C]0.03[/C][C]99.9604442890442[/C][C]0.563181299562515[/C][/ROW]
[ROW][C]0.04[/C][C]100.220808048868[/C][C]0.527569974578631[/C][/ROW]
[ROW][C]0.05[/C][C]100.448790521338[/C][C]0.471708568478369[/C][/ROW]
[ROW][C]0.06[/C][C]100.639846266177[/C][C]0.416075925019485[/C][/ROW]
[ROW][C]0.07[/C][C]100.797619367239[/C][C]0.368943196903152[/C][/ROW]
[ROW][C]0.08[/C][C]100.928486403960[/C][C]0.330741650969625[/C][/ROW]
[ROW][C]0.09[/C][C]101.039006132785[/C][C]0.302071538123809[/C][/ROW]
[ROW][C]0.1[/C][C]101.135146584136[/C][C]0.285653792134737[/C][/ROW]
[ROW][C]0.11[/C][C]101.222234285636[/C][C]0.284665165507716[/C][/ROW]
[ROW][C]0.12[/C][C]101.305006394040[/C][C]0.299875705753701[/C][/ROW]
[ROW][C]0.13[/C][C]101.387555093733[/C][C]0.329327663198441[/C][/ROW]
[ROW][C]0.14[/C][C]101.473191549876[/C][C]0.369132810751186[/C][/ROW]
[ROW][C]0.15[/C][C]101.564325429553[/C][C]0.414927617026854[/C][/ROW]
[ROW][C]0.16[/C][C]101.662427788795[/C][C]0.462880707845373[/C][/ROW]
[ROW][C]0.17[/C][C]101.768092545563[/C][C]0.509851311896733[/C][/ROW]
[ROW][C]0.18[/C][C]101.881174037428[/C][C]0.55309167324231[/C][/ROW]
[ROW][C]0.19[/C][C]102.000963718714[/C][C]0.591107619238755[/C][/ROW]
[ROW][C]0.2[/C][C]102.126371498574[/C][C]0.62283198993623[/C][/ROW]
[ROW][C]0.21[/C][C]102.256087785949[/C][C]0.647919460321333[/C][/ROW]
[ROW][C]0.22[/C][C]102.388714669474[/C][C]0.666172303837647[/C][/ROW]
[ROW][C]0.23[/C][C]102.522865168689[/C][C]0.677617357719739[/C][/ROW]
[ROW][C]0.24[/C][C]102.657236256998[/C][C]0.68272581811775[/C][/ROW]
[ROW][C]0.25[/C][C]102.790663761471[/C][C]0.681813510139043[/C][/ROW]
[ROW][C]0.26[/C][C]102.922165852320[/C][C]0.67581164521612[/C][/ROW]
[ROW][C]0.27[/C][C]103.050978184450[/C][C]0.665751542522676[/C][/ROW]
[ROW][C]0.28[/C][C]103.176579823693[/C][C]0.652973918052327[/C][/ROW]
[ROW][C]0.29[/C][C]103.298706586694[/C][C]0.639067022443308[/C][/ROW]
[ROW][C]0.3[/C][C]103.417348210211[/C][C]0.625558183122652[/C][/ROW]
[ROW][C]0.31[/C][C]103.532727683172[/C][C]0.613865403098499[/C][/ROW]
[ROW][C]0.32[/C][C]103.645264171166[/C][C]0.60509289034413[/C][/ROW]
[ROW][C]0.33[/C][C]103.755523978941[/C][C]0.599817514783683[/C][/ROW]
[ROW][C]0.34[/C][C]103.864165875707[/C][C]0.598548815098587[/C][/ROW]
[ROW][C]0.35[/C][C]103.971887335379[/C][C]0.601097584289521[/C][/ROW]
[ROW][C]0.36[/C][C]104.079376929192[/C][C]0.607329238258419[/C][/ROW]
[ROW][C]0.37[/C][C]104.18727584021[/C][C]0.616604663761971[/C][/ROW]
[ROW][C]0.38[/C][C]104.296149040655[/C][C]0.628571806161146[/C][/ROW]
[ROW][C]0.39[/C][C]104.406464794109[/C][C]0.642576737074467[/C][/ROW]
[ROW][C]0.4[/C][C]104.518580240496[/C][C]0.657973932340028[/C][/ROW]
[ROW][C]0.41[/C][C]104.632730956080[/C][C]0.674282610343052[/C][/ROW]
[ROW][C]0.42[/C][C]104.749023302543[/C][C]0.690479184466836[/C][/ROW]
[ROW][C]0.43[/C][C]104.867429651443[/C][C]0.705984777521377[/C][/ROW]
[ROW][C]0.44[/C][C]104.987787725931[/C][C]0.719728579038138[/C][/ROW]
[ROW][C]0.45[/C][C]105.109805977965[/C][C]0.730960169883272[/C][/ROW]
[ROW][C]0.46[/C][C]105.233076937346[/C][C]0.739067107260436[/C][/ROW]
[ROW][C]0.47[/C][C]105.357099848905[/C][C]0.743199715810238[/C][/ROW]
[ROW][C]0.48[/C][C]105.481312835549[/C][C]0.743497977474357[/C][/ROW]
[ROW][C]0.49[/C][C]105.605133554649[/C][C]0.739487883584457[/C][/ROW]
[ROW][C]0.5[/C][C]105.728006129443[/C][C]0.731596876913417[/C][/ROW]
[ROW][C]0.51[/C][C]105.849451256803[/C][C]0.720386768520741[/C][/ROW]
[ROW][C]0.52[/C][C]105.969115946423[/C][C]0.706714106058045[/C][/ROW]
[ROW][C]0.53[/C][C]106.086819360386[/C][C]0.691930378207881[/C][/ROW]
[ROW][C]0.54[/C][C]106.202591632269[/C][C]0.677261587882549[/C][/ROW]
[ROW][C]0.55[/C][C]106.316703221226[/C][C]0.664372744008219[/C][/ROW]
[ROW][C]0.56[/C][C]106.429683130840[/C][C]0.654951087640522[/C][/ROW]
[ROW][C]0.57[/C][C]106.542325017566[/C][C]0.650522874004042[/C][/ROW]
[ROW][C]0.58[/C][C]106.655680670436[/C][C]0.652965868029997[/C][/ROW]
[ROW][C]0.59[/C][C]106.771040453758[/C][C]0.663466513663145[/C][/ROW]
[ROW][C]0.6[/C][C]106.889900043260[/C][C]0.683195476969875[/C][/ROW]
[ROW][C]0.61[/C][C]107.013912246217[/C][C]0.713010179456212[/C][/ROW]
[ROW][C]0.62[/C][C]107.144822108927[/C][C]0.753015366238591[/C][/ROW]
[ROW][C]0.63[/C][C]107.284383243461[/C][C]0.803149329330672[/C][/ROW]
[ROW][C]0.64[/C][C]107.434253795400[/C][C]0.862203598596665[/C][/ROW]
[ROW][C]0.65[/C][C]107.595872152214[/C][C]0.928732825113838[/C][/ROW]
[ROW][C]0.66[/C][C]107.77031562252[/C][C]1.00020602606023[/C][/ROW]
[ROW][C]0.67[/C][C]107.958149840724[/C][C]1.07326144094820[/C][/ROW]
[ROW][C]0.68[/C][C]108.159282057357[/C][C]1.14394431453858[/C][/ROW]
[ROW][C]0.69[/C][C]108.372836754739[/C][C]1.20743286841016[/C][/ROW]
[ROW][C]0.7[/C][C]108.597075773406[/C][C]1.2588763532651[/C][/ROW]
[ROW][C]0.71[/C][C]108.829385800331[/C][C]1.29337834628917[/C][/ROW]
[ROW][C]0.72[/C][C]109.066352365785[/C][C]1.30670847403673[/C][/ROW]
[ROW][C]0.73[/C][C]109.303930840721[/C][C]1.29580070292330[/C][/ROW]
[ROW][C]0.74[/C][C]109.537711823495[/C][C]1.25924411148100[/C][/ROW]
[ROW][C]0.75[/C][C]109.763262492901[/C][C]1.19787886172878[/C][/ROW]
[ROW][C]0.76[/C][C]109.976509783721[/C][C]1.11430916072603[/C][/ROW]
[ROW][C]0.77[/C][C]110.174118947035[/C][C]1.01350018494633[/C][/ROW]
[ROW][C]0.78[/C][C]110.353815293122[/C][C]0.90171771416401[/C][/ROW]
[ROW][C]0.79[/C][C]110.514599744124[/C][C]0.78631029809908[/C][/ROW]
[ROW][C]0.8[/C][C]110.656820684868[/C][C]0.674779616471328[/C][/ROW]
[ROW][C]0.81[/C][C]110.782084137725[/C][C]0.573958462401232[/C][/ROW]
[ROW][C]0.82[/C][C]110.893008662492[/C][C]0.489359675869461[/C][/ROW]
[ROW][C]0.83[/C][C]110.992856932313[/C][C]0.424565788168765[/C][/ROW]
[ROW][C]0.84[/C][C]111.085098881967[/C][C]0.380437098611977[/C][/ROW]
[ROW][C]0.85[/C][C]111.172978162695[/C][C]0.354697593139533[/C][/ROW]
[ROW][C]0.86[/C][C]111.259160976265[/C][C]0.342324852803210[/C][/ROW]
[ROW][C]0.87[/C][C]111.345540321677[/C][C]0.337173330677565[/C][/ROW]
[ROW][C]0.88[/C][C]111.433244683570[/C][C]0.333777528873857[/C][/ROW]
[ROW][C]0.89[/C][C]111.522854725618[/C][C]0.328657039775665[/C][/ROW]
[ROW][C]0.9[/C][C]111.614768002857[/C][C]0.320913437193696[/C][/ROW]
[ROW][C]0.91[/C][C]111.709590171647[/C][C]0.312076211368495[/C][/ROW]
[ROW][C]0.92[/C][C]111.808415721157[/C][C]0.305211181007285[/C][/ROW]
[ROW][C]0.93[/C][C]111.912944833625[/C][C]0.302651578097787[/C][/ROW]
[ROW][C]0.94[/C][C]112.025558430634[/C][C]0.30341640902632[/C][/ROW]
[ROW][C]0.95[/C][C]112.149541780218[/C][C]0.303922748041995[/C][/ROW]
[ROW][C]0.96[/C][C]112.289144642498[/C][C]0.30381637489559[/C][/ROW]
[ROW][C]0.97[/C][C]112.447751260887[/C][C]0.314444531584377[/C][/ROW]
[ROW][C]0.98[/C][C]112.621242739004[/C][C]0.355758055144471[/C][/ROW]
[ROW][C]0.99[/C][C]112.786863158717[/C][C]0.427305121114008[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19366&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19366&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
0.0199.44924871309350.521446296474688
0.0299.6886703594440.558251132688477
0.0399.96044428904420.563181299562515
0.04100.2208080488680.527569974578631
0.05100.4487905213380.471708568478369
0.06100.6398462661770.416075925019485
0.07100.7976193672390.368943196903152
0.08100.9284864039600.330741650969625
0.09101.0390061327850.302071538123809
0.1101.1351465841360.285653792134737
0.11101.2222342856360.284665165507716
0.12101.3050063940400.299875705753701
0.13101.3875550937330.329327663198441
0.14101.4731915498760.369132810751186
0.15101.5643254295530.414927617026854
0.16101.6624277887950.462880707845373
0.17101.7680925455630.509851311896733
0.18101.8811740374280.55309167324231
0.19102.0009637187140.591107619238755
0.2102.1263714985740.62283198993623
0.21102.2560877859490.647919460321333
0.22102.3887146694740.666172303837647
0.23102.5228651686890.677617357719739
0.24102.6572362569980.68272581811775
0.25102.7906637614710.681813510139043
0.26102.9221658523200.67581164521612
0.27103.0509781844500.665751542522676
0.28103.1765798236930.652973918052327
0.29103.2987065866940.639067022443308
0.3103.4173482102110.625558183122652
0.31103.5327276831720.613865403098499
0.32103.6452641711660.60509289034413
0.33103.7555239789410.599817514783683
0.34103.8641658757070.598548815098587
0.35103.9718873353790.601097584289521
0.36104.0793769291920.607329238258419
0.37104.187275840210.616604663761971
0.38104.2961490406550.628571806161146
0.39104.4064647941090.642576737074467
0.4104.5185802404960.657973932340028
0.41104.6327309560800.674282610343052
0.42104.7490233025430.690479184466836
0.43104.8674296514430.705984777521377
0.44104.9877877259310.719728579038138
0.45105.1098059779650.730960169883272
0.46105.2330769373460.739067107260436
0.47105.3570998489050.743199715810238
0.48105.4813128355490.743497977474357
0.49105.6051335546490.739487883584457
0.5105.7280061294430.731596876913417
0.51105.8494512568030.720386768520741
0.52105.9691159464230.706714106058045
0.53106.0868193603860.691930378207881
0.54106.2025916322690.677261587882549
0.55106.3167032212260.664372744008219
0.56106.4296831308400.654951087640522
0.57106.5423250175660.650522874004042
0.58106.6556806704360.652965868029997
0.59106.7710404537580.663466513663145
0.6106.8899000432600.683195476969875
0.61107.0139122462170.713010179456212
0.62107.1448221089270.753015366238591
0.63107.2843832434610.803149329330672
0.64107.4342537954000.862203598596665
0.65107.5958721522140.928732825113838
0.66107.770315622521.00020602606023
0.67107.9581498407241.07326144094820
0.68108.1592820573571.14394431453858
0.69108.3728367547391.20743286841016
0.7108.5970757734061.2588763532651
0.71108.8293858003311.29337834628917
0.72109.0663523657851.30670847403673
0.73109.3039308407211.29580070292330
0.74109.5377118234951.25924411148100
0.75109.7632624929011.19787886172878
0.76109.9765097837211.11430916072603
0.77110.1741189470351.01350018494633
0.78110.3538152931220.90171771416401
0.79110.5145997441240.78631029809908
0.8110.6568206848680.674779616471328
0.81110.7820841377250.573958462401232
0.82110.8930086624920.489359675869461
0.83110.9928569323130.424565788168765
0.84111.0850988819670.380437098611977
0.85111.1729781626950.354697593139533
0.86111.2591609762650.342324852803210
0.87111.3455403216770.337173330677565
0.88111.4332446835700.333777528873857
0.89111.5228547256180.328657039775665
0.9111.6147680028570.320913437193696
0.91111.7095901716470.312076211368495
0.92111.8084157211570.305211181007285
0.93111.9129448336250.302651578097787
0.94112.0255584306340.30341640902632
0.95112.1495417802180.303922748041995
0.96112.2891446424980.30381637489559
0.97112.4477512608870.314444531584377
0.98112.6212427390040.355758055144471
0.99112.7868631587170.427305121114008


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')