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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 13 Dec 2011 10:50:11 -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/2011/Dec/13/t1323791431x6qqp9shha0o5ym.htm/, Retrieved Thu, 02 May 2024 16:38:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154446, Retrieved Thu, 02 May 2024 16:38:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 20:30:15] [b98453cac15ba1066b407e146608df68]
- RMPD  [Kernel Density Estimation] [] [2011-12-13 14:43:33] [c4580079d5d2b3f0ba412f27cdc441be]
- RM D      [Harrell-Davis Quantiles] [] [2011-12-13 15:50:11] [885a9dbaf162325773a0a0afdf9f947e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10.17463007
11.70685947
0.336629956
12.81545815
18.48134929
19.15
11.98976509
15.96311694
12.36867636
17.85359417
13.33972078
17.43586247
7.971763963
16.49423975
9.589676646
13.0201353
18.30998406
5.311440585
16.14544025
9.61483208
6.97001928
17.8328823
10.43631816
12.49521893
13.13014142
12.5995365
16.89272827
15.95822221
17.44624506
13.36096345
11.70208318
12.6700532
9.942922584
12.47787034
16.1794073
11.34269609
10.61458743
13.63362964
19.3
14.17862044
12.13110302
14.29122225
15.90424527
15.30537883
12.71711954
10.1041787
15.10633448
14.97472539
13.14940394
8.803370342
11.37671367
16.48829016
15.28690517
15.87449367
8.991891655
14.52069002
10.73329293
12.11255989
13.12039076
11.17618446
9.852452086
10.83826353
10.01602482
9.98429329
13.90654664
17.43829448
14.13651406
12.95465875
6.405875596
13.00827743
8.843896805
14.95275123
9.985399433
15.85289071
6.304871788
11.70744131
14.6847188
9.063740747
14.09669644
11.45807414
14.5766967
8.013459929
10.91719297
9.680449615
12.30631181
19.15
9.974038576
10.61396958
12.39969169
13.89235106
15.3368091
11.27570477
11.46890639
7.705473469
17.80919895
17.4519668
2.080910919
13.09820752
11.29135539
2.507172277
7.823664497
10.96662538
8.284173862
5.69261529
4.687276457
13.25987215
3.580093526
9.733116837
11.88651299
11.3271032
12.99614065
10.51715507
13.71616844
15.32447894
13.82274766
11.71158746
1.908370816
13.82088431
8.241327352
10.5053078
8.180917703
2.322655495
12.28598307
12.54906448
13.11109062
11.7934321
10.81286184
3.068772109
9.674855276
11.39973018
7.166265475
13.46103292
9.81357389

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'George Udny Yule' @ yule.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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154446&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154446&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154446&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.213493947136840.887805492745148
0.022.03439840055830.562843231482918
0.032.613648284261830.787266924312077
0.043.223296480174331.11158238252931
0.053.926916787940151.32705137497459
0.064.663911287688861.37898519593867
0.075.362283390889371.30984655655018
0.085.98091966192761.1887478433018
0.096.510038363574751.05979115890091
0.16.956645823578780.937657601232931
0.117.332953164265470.827114148995307
0.127.652193202688760.735874003568416
0.137.928122666793050.672896013266981
0.148.174240560979260.640351080523123
0.158.401811137644080.629744711244953
0.168.617901365669330.626140749348399
0.178.82473529737240.615430806750346
0.189.020670322100360.589427163589624
0.199.202185754952980.547025572970396
0.29.365967036439960.49294090287513
0.219.510383200292320.43512579525259
0.229.63607666064880.38201602313487
0.239.745754571056730.340463254079456
0.249.843474548364330.314331515686528
0.259.933754346408330.304052315858966
0.2610.02076524832120.307094879739506
0.2710.10776283612020.319017196229658
0.2810.19681276962970.335051228138924
0.2910.2887969682310.351049025715261
0.310.38363314045920.364181594234711
0.3110.48060663679410.373138586423504
0.3210.57870587065120.377720566314559
0.3310.67687768629030.378388153809373
0.3410.77416964524220.375652816314851
0.3510.86977975892980.370081988935837
0.3610.96306563490730.362019735016654
0.3711.05356225222970.352114699260624
0.3811.14102818991510.341285972676665
0.3911.22550496490710.330915166343734
0.411.30735371972580.322526557168041
0.4111.38723664828580.317405156947303
0.4211.4660317852970.316351118239764
0.4311.54469544382360.319317820723332
0.4411.62410413521840.325570659763031
0.4511.70491208120280.333851083059557
0.4611.78745377689690.342560994743409
0.4711.87170903274140.35013799192774
0.4811.95733470817480.355382077303922
0.4912.04375433718720.357466702397106
0.512.13028443046060.356290214827943
0.5112.21626640256410.352256997218277
0.5212.30116992644320.346261441559163
0.5312.38464101007640.339176759203768
0.5412.46648654502890.331728977580648
0.5512.54661124418430.324144906588512
0.5612.62494322885840.316280297007145
0.5712.70139136694770.307838645823849
0.5812.77586587440850.298678620041721
0.5912.84836653983290.289320338905195
0.612.91911044265320.280896707313685
0.6112.98864690457520.275105771761561
0.6213.05790308996290.273785186459688
0.6313.12812325093680.278207287496274
0.6413.20070251541640.288585257027269
0.6513.2769585676570.303920568181282
0.6613.3579144749320.322285666502075
0.6713.44416944954010.341482593393664
0.6813.53590695291730.359724306915835
0.6913.63303900640830.376234110905325
0.713.7354303346810.39136254544822
0.7113.84310880403680.406280051317905
0.7213.95636737337790.422338337336323
0.7314.07570202215410.440229612377482
0.7414.20159755632030.459441664972564
0.7514.33424271289570.478211136071833
0.7614.47329656464970.493993098944015
0.7714.61781619097490.504447032021903
0.7814.76638755342950.508188006190052
0.7914.91740415541440.505311252411891
0.815.06936639584090.497032552170162
0.8115.22108794070210.48504299586959
0.8215.37181062149350.470809916599549
0.8315.52137681804240.455757921687497
0.8415.67064306256410.442559457814086
0.8515.82211674565930.436469284000562
0.8615.98039646833130.444524542696189
0.8716.15166747162130.471194450754254
0.8816.34166001672520.512250996286761
0.8916.55239252846020.552278103322553
0.916.77941699629920.570058190806027
0.9117.0120921335710.550226122653868
0.9217.23832400254320.495256946658602
0.9317.45230893674050.42844139319121
0.9417.6614194486220.384001476686404
0.9517.88833224990690.389690946061911
0.9618.16392498770910.445544931422803
0.9718.50250408745930.497857223173977
0.9818.86297513208850.433920372913954
0.9919.15387571400910.229126226557336

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.21349394713684 & 0.887805492745148 \tabularnewline
0.02 & 2.0343984005583 & 0.562843231482918 \tabularnewline
0.03 & 2.61364828426183 & 0.787266924312077 \tabularnewline
0.04 & 3.22329648017433 & 1.11158238252931 \tabularnewline
0.05 & 3.92691678794015 & 1.32705137497459 \tabularnewline
0.06 & 4.66391128768886 & 1.37898519593867 \tabularnewline
0.07 & 5.36228339088937 & 1.30984655655018 \tabularnewline
0.08 & 5.9809196619276 & 1.1887478433018 \tabularnewline
0.09 & 6.51003836357475 & 1.05979115890091 \tabularnewline
0.1 & 6.95664582357878 & 0.937657601232931 \tabularnewline
0.11 & 7.33295316426547 & 0.827114148995307 \tabularnewline
0.12 & 7.65219320268876 & 0.735874003568416 \tabularnewline
0.13 & 7.92812266679305 & 0.672896013266981 \tabularnewline
0.14 & 8.17424056097926 & 0.640351080523123 \tabularnewline
0.15 & 8.40181113764408 & 0.629744711244953 \tabularnewline
0.16 & 8.61790136566933 & 0.626140749348399 \tabularnewline
0.17 & 8.8247352973724 & 0.615430806750346 \tabularnewline
0.18 & 9.02067032210036 & 0.589427163589624 \tabularnewline
0.19 & 9.20218575495298 & 0.547025572970396 \tabularnewline
0.2 & 9.36596703643996 & 0.49294090287513 \tabularnewline
0.21 & 9.51038320029232 & 0.43512579525259 \tabularnewline
0.22 & 9.6360766606488 & 0.38201602313487 \tabularnewline
0.23 & 9.74575457105673 & 0.340463254079456 \tabularnewline
0.24 & 9.84347454836433 & 0.314331515686528 \tabularnewline
0.25 & 9.93375434640833 & 0.304052315858966 \tabularnewline
0.26 & 10.0207652483212 & 0.307094879739506 \tabularnewline
0.27 & 10.1077628361202 & 0.319017196229658 \tabularnewline
0.28 & 10.1968127696297 & 0.335051228138924 \tabularnewline
0.29 & 10.288796968231 & 0.351049025715261 \tabularnewline
0.3 & 10.3836331404592 & 0.364181594234711 \tabularnewline
0.31 & 10.4806066367941 & 0.373138586423504 \tabularnewline
0.32 & 10.5787058706512 & 0.377720566314559 \tabularnewline
0.33 & 10.6768776862903 & 0.378388153809373 \tabularnewline
0.34 & 10.7741696452422 & 0.375652816314851 \tabularnewline
0.35 & 10.8697797589298 & 0.370081988935837 \tabularnewline
0.36 & 10.9630656349073 & 0.362019735016654 \tabularnewline
0.37 & 11.0535622522297 & 0.352114699260624 \tabularnewline
0.38 & 11.1410281899151 & 0.341285972676665 \tabularnewline
0.39 & 11.2255049649071 & 0.330915166343734 \tabularnewline
0.4 & 11.3073537197258 & 0.322526557168041 \tabularnewline
0.41 & 11.3872366482858 & 0.317405156947303 \tabularnewline
0.42 & 11.466031785297 & 0.316351118239764 \tabularnewline
0.43 & 11.5446954438236 & 0.319317820723332 \tabularnewline
0.44 & 11.6241041352184 & 0.325570659763031 \tabularnewline
0.45 & 11.7049120812028 & 0.333851083059557 \tabularnewline
0.46 & 11.7874537768969 & 0.342560994743409 \tabularnewline
0.47 & 11.8717090327414 & 0.35013799192774 \tabularnewline
0.48 & 11.9573347081748 & 0.355382077303922 \tabularnewline
0.49 & 12.0437543371872 & 0.357466702397106 \tabularnewline
0.5 & 12.1302844304606 & 0.356290214827943 \tabularnewline
0.51 & 12.2162664025641 & 0.352256997218277 \tabularnewline
0.52 & 12.3011699264432 & 0.346261441559163 \tabularnewline
0.53 & 12.3846410100764 & 0.339176759203768 \tabularnewline
0.54 & 12.4664865450289 & 0.331728977580648 \tabularnewline
0.55 & 12.5466112441843 & 0.324144906588512 \tabularnewline
0.56 & 12.6249432288584 & 0.316280297007145 \tabularnewline
0.57 & 12.7013913669477 & 0.307838645823849 \tabularnewline
0.58 & 12.7758658744085 & 0.298678620041721 \tabularnewline
0.59 & 12.8483665398329 & 0.289320338905195 \tabularnewline
0.6 & 12.9191104426532 & 0.280896707313685 \tabularnewline
0.61 & 12.9886469045752 & 0.275105771761561 \tabularnewline
0.62 & 13.0579030899629 & 0.273785186459688 \tabularnewline
0.63 & 13.1281232509368 & 0.278207287496274 \tabularnewline
0.64 & 13.2007025154164 & 0.288585257027269 \tabularnewline
0.65 & 13.276958567657 & 0.303920568181282 \tabularnewline
0.66 & 13.357914474932 & 0.322285666502075 \tabularnewline
0.67 & 13.4441694495401 & 0.341482593393664 \tabularnewline
0.68 & 13.5359069529173 & 0.359724306915835 \tabularnewline
0.69 & 13.6330390064083 & 0.376234110905325 \tabularnewline
0.7 & 13.735430334681 & 0.39136254544822 \tabularnewline
0.71 & 13.8431088040368 & 0.406280051317905 \tabularnewline
0.72 & 13.9563673733779 & 0.422338337336323 \tabularnewline
0.73 & 14.0757020221541 & 0.440229612377482 \tabularnewline
0.74 & 14.2015975563203 & 0.459441664972564 \tabularnewline
0.75 & 14.3342427128957 & 0.478211136071833 \tabularnewline
0.76 & 14.4732965646497 & 0.493993098944015 \tabularnewline
0.77 & 14.6178161909749 & 0.504447032021903 \tabularnewline
0.78 & 14.7663875534295 & 0.508188006190052 \tabularnewline
0.79 & 14.9174041554144 & 0.505311252411891 \tabularnewline
0.8 & 15.0693663958409 & 0.497032552170162 \tabularnewline
0.81 & 15.2210879407021 & 0.48504299586959 \tabularnewline
0.82 & 15.3718106214935 & 0.470809916599549 \tabularnewline
0.83 & 15.5213768180424 & 0.455757921687497 \tabularnewline
0.84 & 15.6706430625641 & 0.442559457814086 \tabularnewline
0.85 & 15.8221167456593 & 0.436469284000562 \tabularnewline
0.86 & 15.9803964683313 & 0.444524542696189 \tabularnewline
0.87 & 16.1516674716213 & 0.471194450754254 \tabularnewline
0.88 & 16.3416600167252 & 0.512250996286761 \tabularnewline
0.89 & 16.5523925284602 & 0.552278103322553 \tabularnewline
0.9 & 16.7794169962992 & 0.570058190806027 \tabularnewline
0.91 & 17.012092133571 & 0.550226122653868 \tabularnewline
0.92 & 17.2383240025432 & 0.495256946658602 \tabularnewline
0.93 & 17.4523089367405 & 0.42844139319121 \tabularnewline
0.94 & 17.661419448622 & 0.384001476686404 \tabularnewline
0.95 & 17.8883322499069 & 0.389690946061911 \tabularnewline
0.96 & 18.1639249877091 & 0.445544931422803 \tabularnewline
0.97 & 18.5025040874593 & 0.497857223173977 \tabularnewline
0.98 & 18.8629751320885 & 0.433920372913954 \tabularnewline
0.99 & 19.1538757140091 & 0.229126226557336 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154446&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]1.21349394713684[/C][C]0.887805492745148[/C][/ROW]
[ROW][C]0.02[/C][C]2.0343984005583[/C][C]0.562843231482918[/C][/ROW]
[ROW][C]0.03[/C][C]2.61364828426183[/C][C]0.787266924312077[/C][/ROW]
[ROW][C]0.04[/C][C]3.22329648017433[/C][C]1.11158238252931[/C][/ROW]
[ROW][C]0.05[/C][C]3.92691678794015[/C][C]1.32705137497459[/C][/ROW]
[ROW][C]0.06[/C][C]4.66391128768886[/C][C]1.37898519593867[/C][/ROW]
[ROW][C]0.07[/C][C]5.36228339088937[/C][C]1.30984655655018[/C][/ROW]
[ROW][C]0.08[/C][C]5.9809196619276[/C][C]1.1887478433018[/C][/ROW]
[ROW][C]0.09[/C][C]6.51003836357475[/C][C]1.05979115890091[/C][/ROW]
[ROW][C]0.1[/C][C]6.95664582357878[/C][C]0.937657601232931[/C][/ROW]
[ROW][C]0.11[/C][C]7.33295316426547[/C][C]0.827114148995307[/C][/ROW]
[ROW][C]0.12[/C][C]7.65219320268876[/C][C]0.735874003568416[/C][/ROW]
[ROW][C]0.13[/C][C]7.92812266679305[/C][C]0.672896013266981[/C][/ROW]
[ROW][C]0.14[/C][C]8.17424056097926[/C][C]0.640351080523123[/C][/ROW]
[ROW][C]0.15[/C][C]8.40181113764408[/C][C]0.629744711244953[/C][/ROW]
[ROW][C]0.16[/C][C]8.61790136566933[/C][C]0.626140749348399[/C][/ROW]
[ROW][C]0.17[/C][C]8.8247352973724[/C][C]0.615430806750346[/C][/ROW]
[ROW][C]0.18[/C][C]9.02067032210036[/C][C]0.589427163589624[/C][/ROW]
[ROW][C]0.19[/C][C]9.20218575495298[/C][C]0.547025572970396[/C][/ROW]
[ROW][C]0.2[/C][C]9.36596703643996[/C][C]0.49294090287513[/C][/ROW]
[ROW][C]0.21[/C][C]9.51038320029232[/C][C]0.43512579525259[/C][/ROW]
[ROW][C]0.22[/C][C]9.6360766606488[/C][C]0.38201602313487[/C][/ROW]
[ROW][C]0.23[/C][C]9.74575457105673[/C][C]0.340463254079456[/C][/ROW]
[ROW][C]0.24[/C][C]9.84347454836433[/C][C]0.314331515686528[/C][/ROW]
[ROW][C]0.25[/C][C]9.93375434640833[/C][C]0.304052315858966[/C][/ROW]
[ROW][C]0.26[/C][C]10.0207652483212[/C][C]0.307094879739506[/C][/ROW]
[ROW][C]0.27[/C][C]10.1077628361202[/C][C]0.319017196229658[/C][/ROW]
[ROW][C]0.28[/C][C]10.1968127696297[/C][C]0.335051228138924[/C][/ROW]
[ROW][C]0.29[/C][C]10.288796968231[/C][C]0.351049025715261[/C][/ROW]
[ROW][C]0.3[/C][C]10.3836331404592[/C][C]0.364181594234711[/C][/ROW]
[ROW][C]0.31[/C][C]10.4806066367941[/C][C]0.373138586423504[/C][/ROW]
[ROW][C]0.32[/C][C]10.5787058706512[/C][C]0.377720566314559[/C][/ROW]
[ROW][C]0.33[/C][C]10.6768776862903[/C][C]0.378388153809373[/C][/ROW]
[ROW][C]0.34[/C][C]10.7741696452422[/C][C]0.375652816314851[/C][/ROW]
[ROW][C]0.35[/C][C]10.8697797589298[/C][C]0.370081988935837[/C][/ROW]
[ROW][C]0.36[/C][C]10.9630656349073[/C][C]0.362019735016654[/C][/ROW]
[ROW][C]0.37[/C][C]11.0535622522297[/C][C]0.352114699260624[/C][/ROW]
[ROW][C]0.38[/C][C]11.1410281899151[/C][C]0.341285972676665[/C][/ROW]
[ROW][C]0.39[/C][C]11.2255049649071[/C][C]0.330915166343734[/C][/ROW]
[ROW][C]0.4[/C][C]11.3073537197258[/C][C]0.322526557168041[/C][/ROW]
[ROW][C]0.41[/C][C]11.3872366482858[/C][C]0.317405156947303[/C][/ROW]
[ROW][C]0.42[/C][C]11.466031785297[/C][C]0.316351118239764[/C][/ROW]
[ROW][C]0.43[/C][C]11.5446954438236[/C][C]0.319317820723332[/C][/ROW]
[ROW][C]0.44[/C][C]11.6241041352184[/C][C]0.325570659763031[/C][/ROW]
[ROW][C]0.45[/C][C]11.7049120812028[/C][C]0.333851083059557[/C][/ROW]
[ROW][C]0.46[/C][C]11.7874537768969[/C][C]0.342560994743409[/C][/ROW]
[ROW][C]0.47[/C][C]11.8717090327414[/C][C]0.35013799192774[/C][/ROW]
[ROW][C]0.48[/C][C]11.9573347081748[/C][C]0.355382077303922[/C][/ROW]
[ROW][C]0.49[/C][C]12.0437543371872[/C][C]0.357466702397106[/C][/ROW]
[ROW][C]0.5[/C][C]12.1302844304606[/C][C]0.356290214827943[/C][/ROW]
[ROW][C]0.51[/C][C]12.2162664025641[/C][C]0.352256997218277[/C][/ROW]
[ROW][C]0.52[/C][C]12.3011699264432[/C][C]0.346261441559163[/C][/ROW]
[ROW][C]0.53[/C][C]12.3846410100764[/C][C]0.339176759203768[/C][/ROW]
[ROW][C]0.54[/C][C]12.4664865450289[/C][C]0.331728977580648[/C][/ROW]
[ROW][C]0.55[/C][C]12.5466112441843[/C][C]0.324144906588512[/C][/ROW]
[ROW][C]0.56[/C][C]12.6249432288584[/C][C]0.316280297007145[/C][/ROW]
[ROW][C]0.57[/C][C]12.7013913669477[/C][C]0.307838645823849[/C][/ROW]
[ROW][C]0.58[/C][C]12.7758658744085[/C][C]0.298678620041721[/C][/ROW]
[ROW][C]0.59[/C][C]12.8483665398329[/C][C]0.289320338905195[/C][/ROW]
[ROW][C]0.6[/C][C]12.9191104426532[/C][C]0.280896707313685[/C][/ROW]
[ROW][C]0.61[/C][C]12.9886469045752[/C][C]0.275105771761561[/C][/ROW]
[ROW][C]0.62[/C][C]13.0579030899629[/C][C]0.273785186459688[/C][/ROW]
[ROW][C]0.63[/C][C]13.1281232509368[/C][C]0.278207287496274[/C][/ROW]
[ROW][C]0.64[/C][C]13.2007025154164[/C][C]0.288585257027269[/C][/ROW]
[ROW][C]0.65[/C][C]13.276958567657[/C][C]0.303920568181282[/C][/ROW]
[ROW][C]0.66[/C][C]13.357914474932[/C][C]0.322285666502075[/C][/ROW]
[ROW][C]0.67[/C][C]13.4441694495401[/C][C]0.341482593393664[/C][/ROW]
[ROW][C]0.68[/C][C]13.5359069529173[/C][C]0.359724306915835[/C][/ROW]
[ROW][C]0.69[/C][C]13.6330390064083[/C][C]0.376234110905325[/C][/ROW]
[ROW][C]0.7[/C][C]13.735430334681[/C][C]0.39136254544822[/C][/ROW]
[ROW][C]0.71[/C][C]13.8431088040368[/C][C]0.406280051317905[/C][/ROW]
[ROW][C]0.72[/C][C]13.9563673733779[/C][C]0.422338337336323[/C][/ROW]
[ROW][C]0.73[/C][C]14.0757020221541[/C][C]0.440229612377482[/C][/ROW]
[ROW][C]0.74[/C][C]14.2015975563203[/C][C]0.459441664972564[/C][/ROW]
[ROW][C]0.75[/C][C]14.3342427128957[/C][C]0.478211136071833[/C][/ROW]
[ROW][C]0.76[/C][C]14.4732965646497[/C][C]0.493993098944015[/C][/ROW]
[ROW][C]0.77[/C][C]14.6178161909749[/C][C]0.504447032021903[/C][/ROW]
[ROW][C]0.78[/C][C]14.7663875534295[/C][C]0.508188006190052[/C][/ROW]
[ROW][C]0.79[/C][C]14.9174041554144[/C][C]0.505311252411891[/C][/ROW]
[ROW][C]0.8[/C][C]15.0693663958409[/C][C]0.497032552170162[/C][/ROW]
[ROW][C]0.81[/C][C]15.2210879407021[/C][C]0.48504299586959[/C][/ROW]
[ROW][C]0.82[/C][C]15.3718106214935[/C][C]0.470809916599549[/C][/ROW]
[ROW][C]0.83[/C][C]15.5213768180424[/C][C]0.455757921687497[/C][/ROW]
[ROW][C]0.84[/C][C]15.6706430625641[/C][C]0.442559457814086[/C][/ROW]
[ROW][C]0.85[/C][C]15.8221167456593[/C][C]0.436469284000562[/C][/ROW]
[ROW][C]0.86[/C][C]15.9803964683313[/C][C]0.444524542696189[/C][/ROW]
[ROW][C]0.87[/C][C]16.1516674716213[/C][C]0.471194450754254[/C][/ROW]
[ROW][C]0.88[/C][C]16.3416600167252[/C][C]0.512250996286761[/C][/ROW]
[ROW][C]0.89[/C][C]16.5523925284602[/C][C]0.552278103322553[/C][/ROW]
[ROW][C]0.9[/C][C]16.7794169962992[/C][C]0.570058190806027[/C][/ROW]
[ROW][C]0.91[/C][C]17.012092133571[/C][C]0.550226122653868[/C][/ROW]
[ROW][C]0.92[/C][C]17.2383240025432[/C][C]0.495256946658602[/C][/ROW]
[ROW][C]0.93[/C][C]17.4523089367405[/C][C]0.42844139319121[/C][/ROW]
[ROW][C]0.94[/C][C]17.661419448622[/C][C]0.384001476686404[/C][/ROW]
[ROW][C]0.95[/C][C]17.8883322499069[/C][C]0.389690946061911[/C][/ROW]
[ROW][C]0.96[/C][C]18.1639249877091[/C][C]0.445544931422803[/C][/ROW]
[ROW][C]0.97[/C][C]18.5025040874593[/C][C]0.497857223173977[/C][/ROW]
[ROW][C]0.98[/C][C]18.8629751320885[/C][C]0.433920372913954[/C][/ROW]
[ROW][C]0.99[/C][C]19.1538757140091[/C][C]0.229126226557336[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154446&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154446&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
0.011.213493947136840.887805492745148
0.022.03439840055830.562843231482918
0.032.613648284261830.787266924312077
0.043.223296480174331.11158238252931
0.053.926916787940151.32705137497459
0.064.663911287688861.37898519593867
0.075.362283390889371.30984655655018
0.085.98091966192761.1887478433018
0.096.510038363574751.05979115890091
0.16.956645823578780.937657601232931
0.117.332953164265470.827114148995307
0.127.652193202688760.735874003568416
0.137.928122666793050.672896013266981
0.148.174240560979260.640351080523123
0.158.401811137644080.629744711244953
0.168.617901365669330.626140749348399
0.178.82473529737240.615430806750346
0.189.020670322100360.589427163589624
0.199.202185754952980.547025572970396
0.29.365967036439960.49294090287513
0.219.510383200292320.43512579525259
0.229.63607666064880.38201602313487
0.239.745754571056730.340463254079456
0.249.843474548364330.314331515686528
0.259.933754346408330.304052315858966
0.2610.02076524832120.307094879739506
0.2710.10776283612020.319017196229658
0.2810.19681276962970.335051228138924
0.2910.2887969682310.351049025715261
0.310.38363314045920.364181594234711
0.3110.48060663679410.373138586423504
0.3210.57870587065120.377720566314559
0.3310.67687768629030.378388153809373
0.3410.77416964524220.375652816314851
0.3510.86977975892980.370081988935837
0.3610.96306563490730.362019735016654
0.3711.05356225222970.352114699260624
0.3811.14102818991510.341285972676665
0.3911.22550496490710.330915166343734
0.411.30735371972580.322526557168041
0.4111.38723664828580.317405156947303
0.4211.4660317852970.316351118239764
0.4311.54469544382360.319317820723332
0.4411.62410413521840.325570659763031
0.4511.70491208120280.333851083059557
0.4611.78745377689690.342560994743409
0.4711.87170903274140.35013799192774
0.4811.95733470817480.355382077303922
0.4912.04375433718720.357466702397106
0.512.13028443046060.356290214827943
0.5112.21626640256410.352256997218277
0.5212.30116992644320.346261441559163
0.5312.38464101007640.339176759203768
0.5412.46648654502890.331728977580648
0.5512.54661124418430.324144906588512
0.5612.62494322885840.316280297007145
0.5712.70139136694770.307838645823849
0.5812.77586587440850.298678620041721
0.5912.84836653983290.289320338905195
0.612.91911044265320.280896707313685
0.6112.98864690457520.275105771761561
0.6213.05790308996290.273785186459688
0.6313.12812325093680.278207287496274
0.6413.20070251541640.288585257027269
0.6513.2769585676570.303920568181282
0.6613.3579144749320.322285666502075
0.6713.44416944954010.341482593393664
0.6813.53590695291730.359724306915835
0.6913.63303900640830.376234110905325
0.713.7354303346810.39136254544822
0.7113.84310880403680.406280051317905
0.7213.95636737337790.422338337336323
0.7314.07570202215410.440229612377482
0.7414.20159755632030.459441664972564
0.7514.33424271289570.478211136071833
0.7614.47329656464970.493993098944015
0.7714.61781619097490.504447032021903
0.7814.76638755342950.508188006190052
0.7914.91740415541440.505311252411891
0.815.06936639584090.497032552170162
0.8115.22108794070210.48504299586959
0.8215.37181062149350.470809916599549
0.8315.52137681804240.455757921687497
0.8415.67064306256410.442559457814086
0.8515.82211674565930.436469284000562
0.8615.98039646833130.444524542696189
0.8716.15166747162130.471194450754254
0.8816.34166001672520.512250996286761
0.8916.55239252846020.552278103322553
0.916.77941699629920.570058190806027
0.9117.0120921335710.550226122653868
0.9217.23832400254320.495256946658602
0.9317.45230893674050.42844139319121
0.9417.6614194486220.384001476686404
0.9517.88833224990690.389690946061911
0.9618.16392498770910.445544931422803
0.9718.50250408745930.497857223173977
0.9818.86297513208850.433920372913954
0.9919.15387571400910.229126226557336


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 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')