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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 05:26:54 -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/t12251068652i9mgg5uq3bk7cu.htm/, Retrieved Sun, 19 May 2024 14:33:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19233, Retrieved Sun, 19 May 2024 14:33:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact176

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 11:26:54] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
Feedback Forum
2008-11-03 16:37:22 [Lindsay Heyndrickx] [reply] 
q9: hier werd te weinig uitleg bijgegeven.
q10:Als je hier naar de autocorrelatie kijkt is het duidelijker dan naar de run sequence plot maar er is inderdaad geen seizoensgebondenheid.
2008-11-03 20:42:26 [Jeroen Aerts] [reply] 
Bij vraag 9 is geen oplossing gegeven, enkel een berekening maar bij vraag 10 bekomt de student wel de juiste conclusie dat er geen seizoensgebondenheid is.
2008-11-03 22:43:06 [Nick Wuyts] [reply] 
Ik ga akkoord met de gegeven uitleg hierboven. Te weinig info gegeven bij Q9 en een juiste conclusie bij Q10.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.928571429
0.904761905
0.872093023
0.853932584
0.852272727
0.879518072
1.013333333
1.041666667
1.013333333
0.897727273
0.849462366
0.870967742
0.942528736
0.975609756
0.903614458
0.8
0.755813953
0.76744186
0.926829268
0.987654321
1
0.895348837
0.862068966
0.863636364
0.905882353
0.94047619
0.917647059
0.862068966
0.862068966
0.825581395
0.882352941
0.903614458
0.938271605
0.93902439
0.950617284
0.975308642
1.025316456
1.037974684
1.037974684
1.0125
0.9875
0.924050633
0.8625
0.857142857
0.930555556
0.92
0.95890411
1.014285714
1.028571429
1.014285714
0.958333333
0.95890411
0.957746479
0.941176471
1.015151515
1.080645161
1.032258065
0.926470588
0.898550725
0.955882353

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=19233&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=19233&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19233&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
0.010.760641408151290.0158840682143278
0.020.7694728193239910.0228164318268095
0.030.7810130721407630.0283847488557683
0.040.793699891208630.0307974784047797
0.050.8062089622268230.0302157421998449
0.060.8176270144332320.0275564393502138
0.070.8274577284356380.0237910196820719
0.080.8355482634211630.0197063741690091
0.090.8419853890557510.0158606889610320
0.10.846993241908580.0125872284271171
0.110.8508508950300250.0100260092049410
0.120.8538362319441060.00817210863740593
0.130.856194824348530.00693896569741972
0.140.8581283406351080.00621778638127735
0.150.8597955090070550.0059164510753128
0.160.8613190865964390.00597297512342881
0.170.8627939512310840.00633921252986324
0.180.8642935559857220.00696192348408438
0.190.8658738758556580.00778285341857086
0.20.8675752308309170.0087324158806135
0.210.8694229251698030.00974276514710196
0.220.8714276623993980.0107416619578672
0.230.8735864222616950.0116686251543442
0.240.8758841295429030.0124665519817163
0.250.8782961347140330.013097447683651
0.260.880791313523160.0135352529731546
0.270.8833354769599480.0137737456464858
0.280.885894742928040.0138229044001373
0.290.8884385342306240.0137106578056627
0.30.8909419192402260.0134740084249328
0.310.8933870935305470.0131601556175101
0.320.8957639059222520.0128149433620112
0.330.8980694508214140.0124833657261846
0.340.9003068656073930.0121976793416852
0.350.9024835693425130.0119787363676425
0.360.904609240468010.0118300007779943
0.370.906693845239610.0117413604764748
0.380.908745993123810.0116936537247932
0.390.9107718177338320.0116614241953279
0.40.9127744778979620.0116203721238458
0.410.9147542635481640.0115518155875107
0.420.9167091957742160.0114443172637570
0.430.9186359457180760.0112947039852726
0.440.9205308715348770.0111077348001684
0.450.9223909861565360.0108950454162707
0.460.924214712858950.0106710045003556
0.470.9260023471854580.0104532632853507
0.480.9277562075854830.0102551659258434
0.490.9294805103211720.0100884808169199
0.50.9311810388586560.00996122688229108
0.510.9328646922768130.00987932215923895
0.520.9345389947943930.00984266567918242
0.530.9362116361641560.00984997354166743
0.540.9378900975517670.0098975087642881
0.550.939581404403730.00998145711388626
0.560.9412920376520170.0100956882326338
0.570.9430280246250920.0102350038582855
0.580.9447952164716880.0103977983989196
0.590.9465997356942910.0105819243670692
0.60.9484485448116670.0107928498486878
0.610.9503500493557960.0110403745818496
0.620.9523146140156920.0113385507720815
0.630.9543548506879780.0117048666885051
0.640.9564855411188340.0121553556571027
0.650.958723089478040.0127011121841198
0.660.9610844592023070.0133444349210975
0.670.963585624345040.0140751860834618
0.680.9662396446376710.0148679588961414
0.690.9690545416124820.0156867546151326
0.70.9720312008622330.0164838818504475
0.710.9751615499639140.0172054617220887
0.720.9784272658903570.0177939750489944
0.730.9817992549978030.0181935467709643
0.740.985238124491890.0183514057908158
0.750.9886958203413130.0182295842237600
0.760.9921185284991640.0178038681772582
0.770.9954508068765780.0170720719734800
0.780.9986407253063130.0160593427703625
0.791.001645549821380.0148176171313250
0.81.004437254074910.0134274523921697
0.811.007006940732780.0119902490265739
0.821.009367191447800.0106249559195058
0.831.011551510606830.00944873069891613
0.841.013610422548360.00856434691931388
0.851.015604394829870.00802971961553915
0.861.017594482654310.00783365938246518
0.871.019632255526350.00788866745575346
0.881.021751024900530.00806068686925766
0.891.023960628630110.00820837479017699
0.91.026248318709690.00821471046916479
0.911.028589271641410.00800754270200637
0.921.030972588146540.00757804129260874
0.931.033451812881830.0070152261474046
0.941.036227751779360.00659055778675572
0.951.039750371264840.0069650204096107
0.961.044760675367190.00926189247563423
0.971.052078937440440.0144010303066684
0.981.061894521398040.0223442689710626
0.991.072650841799630.0314643337381964

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.76064140815129 & 0.0158840682143278 \tabularnewline
0.02 & 0.769472819323991 & 0.0228164318268095 \tabularnewline
0.03 & 0.781013072140763 & 0.0283847488557683 \tabularnewline
0.04 & 0.79369989120863 & 0.0307974784047797 \tabularnewline
0.05 & 0.806208962226823 & 0.0302157421998449 \tabularnewline
0.06 & 0.817627014433232 & 0.0275564393502138 \tabularnewline
0.07 & 0.827457728435638 & 0.0237910196820719 \tabularnewline
0.08 & 0.835548263421163 & 0.0197063741690091 \tabularnewline
0.09 & 0.841985389055751 & 0.0158606889610320 \tabularnewline
0.1 & 0.84699324190858 & 0.0125872284271171 \tabularnewline
0.11 & 0.850850895030025 & 0.0100260092049410 \tabularnewline
0.12 & 0.853836231944106 & 0.00817210863740593 \tabularnewline
0.13 & 0.85619482434853 & 0.00693896569741972 \tabularnewline
0.14 & 0.858128340635108 & 0.00621778638127735 \tabularnewline
0.15 & 0.859795509007055 & 0.0059164510753128 \tabularnewline
0.16 & 0.861319086596439 & 0.00597297512342881 \tabularnewline
0.17 & 0.862793951231084 & 0.00633921252986324 \tabularnewline
0.18 & 0.864293555985722 & 0.00696192348408438 \tabularnewline
0.19 & 0.865873875855658 & 0.00778285341857086 \tabularnewline
0.2 & 0.867575230830917 & 0.0087324158806135 \tabularnewline
0.21 & 0.869422925169803 & 0.00974276514710196 \tabularnewline
0.22 & 0.871427662399398 & 0.0107416619578672 \tabularnewline
0.23 & 0.873586422261695 & 0.0116686251543442 \tabularnewline
0.24 & 0.875884129542903 & 0.0124665519817163 \tabularnewline
0.25 & 0.878296134714033 & 0.013097447683651 \tabularnewline
0.26 & 0.88079131352316 & 0.0135352529731546 \tabularnewline
0.27 & 0.883335476959948 & 0.0137737456464858 \tabularnewline
0.28 & 0.88589474292804 & 0.0138229044001373 \tabularnewline
0.29 & 0.888438534230624 & 0.0137106578056627 \tabularnewline
0.3 & 0.890941919240226 & 0.0134740084249328 \tabularnewline
0.31 & 0.893387093530547 & 0.0131601556175101 \tabularnewline
0.32 & 0.895763905922252 & 0.0128149433620112 \tabularnewline
0.33 & 0.898069450821414 & 0.0124833657261846 \tabularnewline
0.34 & 0.900306865607393 & 0.0121976793416852 \tabularnewline
0.35 & 0.902483569342513 & 0.0119787363676425 \tabularnewline
0.36 & 0.90460924046801 & 0.0118300007779943 \tabularnewline
0.37 & 0.90669384523961 & 0.0117413604764748 \tabularnewline
0.38 & 0.90874599312381 & 0.0116936537247932 \tabularnewline
0.39 & 0.910771817733832 & 0.0116614241953279 \tabularnewline
0.4 & 0.912774477897962 & 0.0116203721238458 \tabularnewline
0.41 & 0.914754263548164 & 0.0115518155875107 \tabularnewline
0.42 & 0.916709195774216 & 0.0114443172637570 \tabularnewline
0.43 & 0.918635945718076 & 0.0112947039852726 \tabularnewline
0.44 & 0.920530871534877 & 0.0111077348001684 \tabularnewline
0.45 & 0.922390986156536 & 0.0108950454162707 \tabularnewline
0.46 & 0.92421471285895 & 0.0106710045003556 \tabularnewline
0.47 & 0.926002347185458 & 0.0104532632853507 \tabularnewline
0.48 & 0.927756207585483 & 0.0102551659258434 \tabularnewline
0.49 & 0.929480510321172 & 0.0100884808169199 \tabularnewline
0.5 & 0.931181038858656 & 0.00996122688229108 \tabularnewline
0.51 & 0.932864692276813 & 0.00987932215923895 \tabularnewline
0.52 & 0.934538994794393 & 0.00984266567918242 \tabularnewline
0.53 & 0.936211636164156 & 0.00984997354166743 \tabularnewline
0.54 & 0.937890097551767 & 0.0098975087642881 \tabularnewline
0.55 & 0.93958140440373 & 0.00998145711388626 \tabularnewline
0.56 & 0.941292037652017 & 0.0100956882326338 \tabularnewline
0.57 & 0.943028024625092 & 0.0102350038582855 \tabularnewline
0.58 & 0.944795216471688 & 0.0103977983989196 \tabularnewline
0.59 & 0.946599735694291 & 0.0105819243670692 \tabularnewline
0.6 & 0.948448544811667 & 0.0107928498486878 \tabularnewline
0.61 & 0.950350049355796 & 0.0110403745818496 \tabularnewline
0.62 & 0.952314614015692 & 0.0113385507720815 \tabularnewline
0.63 & 0.954354850687978 & 0.0117048666885051 \tabularnewline
0.64 & 0.956485541118834 & 0.0121553556571027 \tabularnewline
0.65 & 0.95872308947804 & 0.0127011121841198 \tabularnewline
0.66 & 0.961084459202307 & 0.0133444349210975 \tabularnewline
0.67 & 0.96358562434504 & 0.0140751860834618 \tabularnewline
0.68 & 0.966239644637671 & 0.0148679588961414 \tabularnewline
0.69 & 0.969054541612482 & 0.0156867546151326 \tabularnewline
0.7 & 0.972031200862233 & 0.0164838818504475 \tabularnewline
0.71 & 0.975161549963914 & 0.0172054617220887 \tabularnewline
0.72 & 0.978427265890357 & 0.0177939750489944 \tabularnewline
0.73 & 0.981799254997803 & 0.0181935467709643 \tabularnewline
0.74 & 0.98523812449189 & 0.0183514057908158 \tabularnewline
0.75 & 0.988695820341313 & 0.0182295842237600 \tabularnewline
0.76 & 0.992118528499164 & 0.0178038681772582 \tabularnewline
0.77 & 0.995450806876578 & 0.0170720719734800 \tabularnewline
0.78 & 0.998640725306313 & 0.0160593427703625 \tabularnewline
0.79 & 1.00164554982138 & 0.0148176171313250 \tabularnewline
0.8 & 1.00443725407491 & 0.0134274523921697 \tabularnewline
0.81 & 1.00700694073278 & 0.0119902490265739 \tabularnewline
0.82 & 1.00936719144780 & 0.0106249559195058 \tabularnewline
0.83 & 1.01155151060683 & 0.00944873069891613 \tabularnewline
0.84 & 1.01361042254836 & 0.00856434691931388 \tabularnewline
0.85 & 1.01560439482987 & 0.00802971961553915 \tabularnewline
0.86 & 1.01759448265431 & 0.00783365938246518 \tabularnewline
0.87 & 1.01963225552635 & 0.00788866745575346 \tabularnewline
0.88 & 1.02175102490053 & 0.00806068686925766 \tabularnewline
0.89 & 1.02396062863011 & 0.00820837479017699 \tabularnewline
0.9 & 1.02624831870969 & 0.00821471046916479 \tabularnewline
0.91 & 1.02858927164141 & 0.00800754270200637 \tabularnewline
0.92 & 1.03097258814654 & 0.00757804129260874 \tabularnewline
0.93 & 1.03345181288183 & 0.0070152261474046 \tabularnewline
0.94 & 1.03622775177936 & 0.00659055778675572 \tabularnewline
0.95 & 1.03975037126484 & 0.0069650204096107 \tabularnewline
0.96 & 1.04476067536719 & 0.00926189247563423 \tabularnewline
0.97 & 1.05207893744044 & 0.0144010303066684 \tabularnewline
0.98 & 1.06189452139804 & 0.0223442689710626 \tabularnewline
0.99 & 1.07265084179963 & 0.0314643337381964 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19233&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]0.76064140815129[/C][C]0.0158840682143278[/C][/ROW]
[ROW][C]0.02[/C][C]0.769472819323991[/C][C]0.0228164318268095[/C][/ROW]
[ROW][C]0.03[/C][C]0.781013072140763[/C][C]0.0283847488557683[/C][/ROW]
[ROW][C]0.04[/C][C]0.79369989120863[/C][C]0.0307974784047797[/C][/ROW]
[ROW][C]0.05[/C][C]0.806208962226823[/C][C]0.0302157421998449[/C][/ROW]
[ROW][C]0.06[/C][C]0.817627014433232[/C][C]0.0275564393502138[/C][/ROW]
[ROW][C]0.07[/C][C]0.827457728435638[/C][C]0.0237910196820719[/C][/ROW]
[ROW][C]0.08[/C][C]0.835548263421163[/C][C]0.0197063741690091[/C][/ROW]
[ROW][C]0.09[/C][C]0.841985389055751[/C][C]0.0158606889610320[/C][/ROW]
[ROW][C]0.1[/C][C]0.84699324190858[/C][C]0.0125872284271171[/C][/ROW]
[ROW][C]0.11[/C][C]0.850850895030025[/C][C]0.0100260092049410[/C][/ROW]
[ROW][C]0.12[/C][C]0.853836231944106[/C][C]0.00817210863740593[/C][/ROW]
[ROW][C]0.13[/C][C]0.85619482434853[/C][C]0.00693896569741972[/C][/ROW]
[ROW][C]0.14[/C][C]0.858128340635108[/C][C]0.00621778638127735[/C][/ROW]
[ROW][C]0.15[/C][C]0.859795509007055[/C][C]0.0059164510753128[/C][/ROW]
[ROW][C]0.16[/C][C]0.861319086596439[/C][C]0.00597297512342881[/C][/ROW]
[ROW][C]0.17[/C][C]0.862793951231084[/C][C]0.00633921252986324[/C][/ROW]
[ROW][C]0.18[/C][C]0.864293555985722[/C][C]0.00696192348408438[/C][/ROW]
[ROW][C]0.19[/C][C]0.865873875855658[/C][C]0.00778285341857086[/C][/ROW]
[ROW][C]0.2[/C][C]0.867575230830917[/C][C]0.0087324158806135[/C][/ROW]
[ROW][C]0.21[/C][C]0.869422925169803[/C][C]0.00974276514710196[/C][/ROW]
[ROW][C]0.22[/C][C]0.871427662399398[/C][C]0.0107416619578672[/C][/ROW]
[ROW][C]0.23[/C][C]0.873586422261695[/C][C]0.0116686251543442[/C][/ROW]
[ROW][C]0.24[/C][C]0.875884129542903[/C][C]0.0124665519817163[/C][/ROW]
[ROW][C]0.25[/C][C]0.878296134714033[/C][C]0.013097447683651[/C][/ROW]
[ROW][C]0.26[/C][C]0.88079131352316[/C][C]0.0135352529731546[/C][/ROW]
[ROW][C]0.27[/C][C]0.883335476959948[/C][C]0.0137737456464858[/C][/ROW]
[ROW][C]0.28[/C][C]0.88589474292804[/C][C]0.0138229044001373[/C][/ROW]
[ROW][C]0.29[/C][C]0.888438534230624[/C][C]0.0137106578056627[/C][/ROW]
[ROW][C]0.3[/C][C]0.890941919240226[/C][C]0.0134740084249328[/C][/ROW]
[ROW][C]0.31[/C][C]0.893387093530547[/C][C]0.0131601556175101[/C][/ROW]
[ROW][C]0.32[/C][C]0.895763905922252[/C][C]0.0128149433620112[/C][/ROW]
[ROW][C]0.33[/C][C]0.898069450821414[/C][C]0.0124833657261846[/C][/ROW]
[ROW][C]0.34[/C][C]0.900306865607393[/C][C]0.0121976793416852[/C][/ROW]
[ROW][C]0.35[/C][C]0.902483569342513[/C][C]0.0119787363676425[/C][/ROW]
[ROW][C]0.36[/C][C]0.90460924046801[/C][C]0.0118300007779943[/C][/ROW]
[ROW][C]0.37[/C][C]0.90669384523961[/C][C]0.0117413604764748[/C][/ROW]
[ROW][C]0.38[/C][C]0.90874599312381[/C][C]0.0116936537247932[/C][/ROW]
[ROW][C]0.39[/C][C]0.910771817733832[/C][C]0.0116614241953279[/C][/ROW]
[ROW][C]0.4[/C][C]0.912774477897962[/C][C]0.0116203721238458[/C][/ROW]
[ROW][C]0.41[/C][C]0.914754263548164[/C][C]0.0115518155875107[/C][/ROW]
[ROW][C]0.42[/C][C]0.916709195774216[/C][C]0.0114443172637570[/C][/ROW]
[ROW][C]0.43[/C][C]0.918635945718076[/C][C]0.0112947039852726[/C][/ROW]
[ROW][C]0.44[/C][C]0.920530871534877[/C][C]0.0111077348001684[/C][/ROW]
[ROW][C]0.45[/C][C]0.922390986156536[/C][C]0.0108950454162707[/C][/ROW]
[ROW][C]0.46[/C][C]0.92421471285895[/C][C]0.0106710045003556[/C][/ROW]
[ROW][C]0.47[/C][C]0.926002347185458[/C][C]0.0104532632853507[/C][/ROW]
[ROW][C]0.48[/C][C]0.927756207585483[/C][C]0.0102551659258434[/C][/ROW]
[ROW][C]0.49[/C][C]0.929480510321172[/C][C]0.0100884808169199[/C][/ROW]
[ROW][C]0.5[/C][C]0.931181038858656[/C][C]0.00996122688229108[/C][/ROW]
[ROW][C]0.51[/C][C]0.932864692276813[/C][C]0.00987932215923895[/C][/ROW]
[ROW][C]0.52[/C][C]0.934538994794393[/C][C]0.00984266567918242[/C][/ROW]
[ROW][C]0.53[/C][C]0.936211636164156[/C][C]0.00984997354166743[/C][/ROW]
[ROW][C]0.54[/C][C]0.937890097551767[/C][C]0.0098975087642881[/C][/ROW]
[ROW][C]0.55[/C][C]0.93958140440373[/C][C]0.00998145711388626[/C][/ROW]
[ROW][C]0.56[/C][C]0.941292037652017[/C][C]0.0100956882326338[/C][/ROW]
[ROW][C]0.57[/C][C]0.943028024625092[/C][C]0.0102350038582855[/C][/ROW]
[ROW][C]0.58[/C][C]0.944795216471688[/C][C]0.0103977983989196[/C][/ROW]
[ROW][C]0.59[/C][C]0.946599735694291[/C][C]0.0105819243670692[/C][/ROW]
[ROW][C]0.6[/C][C]0.948448544811667[/C][C]0.0107928498486878[/C][/ROW]
[ROW][C]0.61[/C][C]0.950350049355796[/C][C]0.0110403745818496[/C][/ROW]
[ROW][C]0.62[/C][C]0.952314614015692[/C][C]0.0113385507720815[/C][/ROW]
[ROW][C]0.63[/C][C]0.954354850687978[/C][C]0.0117048666885051[/C][/ROW]
[ROW][C]0.64[/C][C]0.956485541118834[/C][C]0.0121553556571027[/C][/ROW]
[ROW][C]0.65[/C][C]0.95872308947804[/C][C]0.0127011121841198[/C][/ROW]
[ROW][C]0.66[/C][C]0.961084459202307[/C][C]0.0133444349210975[/C][/ROW]
[ROW][C]0.67[/C][C]0.96358562434504[/C][C]0.0140751860834618[/C][/ROW]
[ROW][C]0.68[/C][C]0.966239644637671[/C][C]0.0148679588961414[/C][/ROW]
[ROW][C]0.69[/C][C]0.969054541612482[/C][C]0.0156867546151326[/C][/ROW]
[ROW][C]0.7[/C][C]0.972031200862233[/C][C]0.0164838818504475[/C][/ROW]
[ROW][C]0.71[/C][C]0.975161549963914[/C][C]0.0172054617220887[/C][/ROW]
[ROW][C]0.72[/C][C]0.978427265890357[/C][C]0.0177939750489944[/C][/ROW]
[ROW][C]0.73[/C][C]0.981799254997803[/C][C]0.0181935467709643[/C][/ROW]
[ROW][C]0.74[/C][C]0.98523812449189[/C][C]0.0183514057908158[/C][/ROW]
[ROW][C]0.75[/C][C]0.988695820341313[/C][C]0.0182295842237600[/C][/ROW]
[ROW][C]0.76[/C][C]0.992118528499164[/C][C]0.0178038681772582[/C][/ROW]
[ROW][C]0.77[/C][C]0.995450806876578[/C][C]0.0170720719734800[/C][/ROW]
[ROW][C]0.78[/C][C]0.998640725306313[/C][C]0.0160593427703625[/C][/ROW]
[ROW][C]0.79[/C][C]1.00164554982138[/C][C]0.0148176171313250[/C][/ROW]
[ROW][C]0.8[/C][C]1.00443725407491[/C][C]0.0134274523921697[/C][/ROW]
[ROW][C]0.81[/C][C]1.00700694073278[/C][C]0.0119902490265739[/C][/ROW]
[ROW][C]0.82[/C][C]1.00936719144780[/C][C]0.0106249559195058[/C][/ROW]
[ROW][C]0.83[/C][C]1.01155151060683[/C][C]0.00944873069891613[/C][/ROW]
[ROW][C]0.84[/C][C]1.01361042254836[/C][C]0.00856434691931388[/C][/ROW]
[ROW][C]0.85[/C][C]1.01560439482987[/C][C]0.00802971961553915[/C][/ROW]
[ROW][C]0.86[/C][C]1.01759448265431[/C][C]0.00783365938246518[/C][/ROW]
[ROW][C]0.87[/C][C]1.01963225552635[/C][C]0.00788866745575346[/C][/ROW]
[ROW][C]0.88[/C][C]1.02175102490053[/C][C]0.00806068686925766[/C][/ROW]
[ROW][C]0.89[/C][C]1.02396062863011[/C][C]0.00820837479017699[/C][/ROW]
[ROW][C]0.9[/C][C]1.02624831870969[/C][C]0.00821471046916479[/C][/ROW]
[ROW][C]0.91[/C][C]1.02858927164141[/C][C]0.00800754270200637[/C][/ROW]
[ROW][C]0.92[/C][C]1.03097258814654[/C][C]0.00757804129260874[/C][/ROW]
[ROW][C]0.93[/C][C]1.03345181288183[/C][C]0.0070152261474046[/C][/ROW]
[ROW][C]0.94[/C][C]1.03622775177936[/C][C]0.00659055778675572[/C][/ROW]
[ROW][C]0.95[/C][C]1.03975037126484[/C][C]0.0069650204096107[/C][/ROW]
[ROW][C]0.96[/C][C]1.04476067536719[/C][C]0.00926189247563423[/C][/ROW]
[ROW][C]0.97[/C][C]1.05207893744044[/C][C]0.0144010303066684[/C][/ROW]
[ROW][C]0.98[/C][C]1.06189452139804[/C][C]0.0223442689710626[/C][/ROW]
[ROW][C]0.99[/C][C]1.07265084179963[/C][C]0.0314643337381964[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19233&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19233&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
0.010.760641408151290.0158840682143278
0.020.7694728193239910.0228164318268095
0.030.7810130721407630.0283847488557683
0.040.793699891208630.0307974784047797
0.050.8062089622268230.0302157421998449
0.060.8176270144332320.0275564393502138
0.070.8274577284356380.0237910196820719
0.080.8355482634211630.0197063741690091
0.090.8419853890557510.0158606889610320
0.10.846993241908580.0125872284271171
0.110.8508508950300250.0100260092049410
0.120.8538362319441060.00817210863740593
0.130.856194824348530.00693896569741972
0.140.8581283406351080.00621778638127735
0.150.8597955090070550.0059164510753128
0.160.8613190865964390.00597297512342881
0.170.8627939512310840.00633921252986324
0.180.8642935559857220.00696192348408438
0.190.8658738758556580.00778285341857086
0.20.8675752308309170.0087324158806135
0.210.8694229251698030.00974276514710196
0.220.8714276623993980.0107416619578672
0.230.8735864222616950.0116686251543442
0.240.8758841295429030.0124665519817163
0.250.8782961347140330.013097447683651
0.260.880791313523160.0135352529731546
0.270.8833354769599480.0137737456464858
0.280.885894742928040.0138229044001373
0.290.8884385342306240.0137106578056627
0.30.8909419192402260.0134740084249328
0.310.8933870935305470.0131601556175101
0.320.8957639059222520.0128149433620112
0.330.8980694508214140.0124833657261846
0.340.9003068656073930.0121976793416852
0.350.9024835693425130.0119787363676425
0.360.904609240468010.0118300007779943
0.370.906693845239610.0117413604764748
0.380.908745993123810.0116936537247932
0.390.9107718177338320.0116614241953279
0.40.9127744778979620.0116203721238458
0.410.9147542635481640.0115518155875107
0.420.9167091957742160.0114443172637570
0.430.9186359457180760.0112947039852726
0.440.9205308715348770.0111077348001684
0.450.9223909861565360.0108950454162707
0.460.924214712858950.0106710045003556
0.470.9260023471854580.0104532632853507
0.480.9277562075854830.0102551659258434
0.490.9294805103211720.0100884808169199
0.50.9311810388586560.00996122688229108
0.510.9328646922768130.00987932215923895
0.520.9345389947943930.00984266567918242
0.530.9362116361641560.00984997354166743
0.540.9378900975517670.0098975087642881
0.550.939581404403730.00998145711388626
0.560.9412920376520170.0100956882326338
0.570.9430280246250920.0102350038582855
0.580.9447952164716880.0103977983989196
0.590.9465997356942910.0105819243670692
0.60.9484485448116670.0107928498486878
0.610.9503500493557960.0110403745818496
0.620.9523146140156920.0113385507720815
0.630.9543548506879780.0117048666885051
0.640.9564855411188340.0121553556571027
0.650.958723089478040.0127011121841198
0.660.9610844592023070.0133444349210975
0.670.963585624345040.0140751860834618
0.680.9662396446376710.0148679588961414
0.690.9690545416124820.0156867546151326
0.70.9720312008622330.0164838818504475
0.710.9751615499639140.0172054617220887
0.720.9784272658903570.0177939750489944
0.730.9817992549978030.0181935467709643
0.740.985238124491890.0183514057908158
0.750.9886958203413130.0182295842237600
0.760.9921185284991640.0178038681772582
0.770.9954508068765780.0170720719734800
0.780.9986407253063130.0160593427703625
0.791.001645549821380.0148176171313250
0.81.004437254074910.0134274523921697
0.811.007006940732780.0119902490265739
0.821.009367191447800.0106249559195058
0.831.011551510606830.00944873069891613
0.841.013610422548360.00856434691931388
0.851.015604394829870.00802971961553915
0.861.017594482654310.00783365938246518
0.871.019632255526350.00788866745575346
0.881.021751024900530.00806068686925766
0.891.023960628630110.00820837479017699
0.91.026248318709690.00821471046916479
0.911.028589271641410.00800754270200637
0.921.030972588146540.00757804129260874
0.931.033451812881830.0070152261474046
0.941.036227751779360.00659055778675572
0.951.039750371264840.0069650204096107
0.961.044760675367190.00926189247563423
0.971.052078937440440.0144010303066684
0.981.061894521398040.0223442689710626
0.991.072650841799630.0314643337381964


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0 ;
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')