Free Statistics

of Irreproducible Research!

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 computationMon, 27 Oct 2008 02:18:25 -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/t1225095919rd2sm0ezdrp9ssu.htm/, Retrieved Sun, 19 May 2024 16:38:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19108, Retrieved Sun, 19 May 2024 16:38:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact182
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Tukey lambda PPCC Plot] [Tukey lambda tot ...] [2008-10-24 09:02:28] [e1a46c1dcfccb0cb690f79a1a409b517]
F RMPD  [Univariate Explorative Data Analysis] [Univariate Explor...] [2008-10-24 12:02:31] [e1a46c1dcfccb0cb690f79a1a409b517]
-   PD    [Univariate Explorative Data Analysis] [UEDA - Vlaams gew...] [2008-10-26 09:55:38] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RMP       [Harrell-Davis Quantiles] [Harrell-Davis - V...] [2008-10-26 10:14:34] [46c5a5fbda57fdfa1d4ef48658f82a0c]
F    D          [Harrell-Davis Quantiles] [Taak 3 Q9] [2008-10-27 08:18:25] [dbfa7caa6871c163dec68ca05d48bb00] [Current]
Feedback Forum
2008-11-03 08:25:05 [Thomas Baken] [reply
Ik vrees dat ook deze vraag incorrect is naargelang de studente in Q7 gebruik heeft gemaakt van een deling van tijdreeksen in haar model. Verder zijn de berekeningen die ze heeft toegepast op deze grafiek wel juist waardoor het duidelijk is dat ze weet hoe ze de oefening moet doen.
2008-11-03 10:39:43 [Jens Peeters] [reply
Jammer dat de 2 tijdreeksen door elkaar gedeeld zijn maar hij/zij heeft inderdaad de juist berekeningen gebruikt.

Post a new message
Dataseries X:
0,30952381
0,384615385
0,25
0,289473684
0,40625
0,407407407
0,578947368
0,37037037
0,407407407
0,428571429
0,47826087
0,4
0,375
0,541666667
0,375
0,368421053
0,302325581
0,386363636
0,285714286
0,29787234
0,347826087
0,301886792
0,276595745
0,277777778
0,291666667
0,295454545
0,355555556
0,285714286
0,306122449
0,326923077
0,275862069
0,274509804
0,307692308
0,46875
0,40625
0,315789474
0,444444444
0,378378378
0,30952381
0,311111111
0,352941176
0,32
0,306122449
0,352941176
0,301886792
0,296296296
0,25
0,240740741
0,25
0,225806452
0,253968254
0,327272727
0,26984127
0,3125
0,25
0,236111111
0,257575758
0,257575758
0,258064516
0,25
0,277777778
0,25
0,25
0,243243243
0,233333333
0,25
0,225806452
0,333333333
0,25
0,4
1
0,571428571
0,571428571




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19108&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19108&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19108&T=0

As an alternative you can also use a 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 time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0050.2260551201148090.000931337047698883
0.0150.2272750466654000.00337443504954312
0.0250.2294303983427160.0052465839824551
0.0350.2321706867081330.0061110697114636
0.0450.2350856520460520.00634534042285218
0.0550.2378973458486960.00629265332948187
0.0650.2404668145622310.00603227116019025
0.0750.2427313210453850.00554054356722459
0.0850.2446595736630640.00483342665064957
0.0950.2462404914745370.00399449005042701
0.1050.2474874302407510.00314428807446445
0.1150.248440983221110.0024030392371104
0.1250.2491647371766610.00187211879891573
0.1350.2497360379120860.00163383250644086
0.1450.2502358480882180.00172909400923466
0.1550.2507405764053020.00212237116329454
0.1650.2513168188195510.00274535612926828
0.1750.2520186006826290.00354237781941608
0.1850.2528862298634290.00446570243252631
0.1950.2539460058821570.00546646447455771
0.2050.255210398184370.00649153029450109
0.2150.2566786358973670.00748730911421238
0.2250.2583378283545690.0084016454481202
0.2350.2601647569119300.00918773263584506
0.2450.2621283861461230.00981244010119713
0.2550.2641929866617060.0102561874565427
0.2650.2663215921769180.010518592728278
0.2750.2684793805745340.0106180763212486
0.2850.2706365178698860.0105853364416802
0.2950.272770062909520.0104622447140891
0.3050.274864694419030.0102906834032446
0.3150.2769122510816140.0101060907187190
0.3250.2789103068050920.0099332284726951
0.3350.2808601734430740.00978136443481276
0.3450.2827647896951060.00964772804436985
0.3550.2846269098960510.00952147416893694
0.3650.2864478755807430.009387414880314
0.3750.2882270825095430.00923159110234417
0.3850.289962095669020.00904450991503658
0.3950.2916492515434770.00882190031212913
0.4050.2932845369543900.00856650330046719
0.4150.2948645427636950.00828568456626431
0.4250.2963873403299660.00799098523360744
0.4350.2978531949479030.00769736814974533
0.4450.2992650920675970.00742106584236478
0.4550.3006290944956550.00718082389777135
0.4650.3019545662850460.0069949640876876
0.4750.3032542934932700.00688317052736052
0.4850.3045445105161790.00686697963687597
0.4950.3058448128783130.00696540407496008
0.5050.3071779128706860.00719745755260888
0.5150.3085691812316180.00757821701081623
0.5250.3100459211814650.00811538240017696
0.5350.3116363420195360.00881095630713037
0.5450.3133682360689700.00965547399987297
0.5550.3152674098141830.0106313917802324
0.5650.3173559701805120.0117091385702308
0.5750.3196506114719090.0128529100716
0.5850.3221610789747810.0140179373609207
0.5950.3248889944394080.0151550341664437
0.6050.3278272120121980.016214884722272
0.6150.330959830116750.0171490459902081
0.6250.3342629195209530.0179170860839580
0.6350.3377059493770410.0184883556418271
0.6450.3412538134984830.018844041984374
0.6550.3448692906410810.0189807949773673
0.6650.348515723433630.0189105159779494
0.6750.3521596728942820.0186589484947671
0.6850.3557732954128820.0182607736835273
0.6950.3593361915226390.0177624716045389
0.7050.3628364911628870.0172124804776341
0.7150.3662709804445750.0166592184757576
0.7250.3696441640149810.0161459591506497
0.7350.3729663218840010.0157024821423481
0.7450.3762508724773890.0153417460882492
0.7550.379511671830880.0150569762132411
0.7650.3827611891781040.0148250659777112
0.7750.3860106804389510.0146183809189453
0.7850.3892733903645740.0144211074052373
0.7950.3925713391387220.0142515299526217
0.8050.3959453777399640.0141810040173257
0.8150.3994670795121770.0143467089580208
0.8250.4032500081559340.0149449957262728
0.8350.4074574107968850.0161926528914524
0.8450.4123037793214770.0182631762184122
0.8550.4180489357371210.0212338825464862
0.8650.4249845553050010.0250736826593388
0.8750.433412961100220.0296639640973028
0.8850.4436155484845480.034810816772666
0.8950.4558046781189830.04021369458217
0.9050.4700550468812460.0453783896207126
0.9150.4862335921676820.0495180944431752
0.9250.5040164603784070.0516069387378985
0.9350.523227625999750.0508502192677705
0.9450.5449407002796240.0480323571983743
0.9550.5737863744842030.0493276530447793
0.9650.6207521628656310.0727262213090488
0.9750.7019381555861350.138547266749535
0.9850.8239277352917220.249888962828105

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & 0.226055120114809 & 0.000931337047698883 \tabularnewline
0.015 & 0.227275046665400 & 0.00337443504954312 \tabularnewline
0.025 & 0.229430398342716 & 0.0052465839824551 \tabularnewline
0.035 & 0.232170686708133 & 0.0061110697114636 \tabularnewline
0.045 & 0.235085652046052 & 0.00634534042285218 \tabularnewline
0.055 & 0.237897345848696 & 0.00629265332948187 \tabularnewline
0.065 & 0.240466814562231 & 0.00603227116019025 \tabularnewline
0.075 & 0.242731321045385 & 0.00554054356722459 \tabularnewline
0.085 & 0.244659573663064 & 0.00483342665064957 \tabularnewline
0.095 & 0.246240491474537 & 0.00399449005042701 \tabularnewline
0.105 & 0.247487430240751 & 0.00314428807446445 \tabularnewline
0.115 & 0.24844098322111 & 0.0024030392371104 \tabularnewline
0.125 & 0.249164737176661 & 0.00187211879891573 \tabularnewline
0.135 & 0.249736037912086 & 0.00163383250644086 \tabularnewline
0.145 & 0.250235848088218 & 0.00172909400923466 \tabularnewline
0.155 & 0.250740576405302 & 0.00212237116329454 \tabularnewline
0.165 & 0.251316818819551 & 0.00274535612926828 \tabularnewline
0.175 & 0.252018600682629 & 0.00354237781941608 \tabularnewline
0.185 & 0.252886229863429 & 0.00446570243252631 \tabularnewline
0.195 & 0.253946005882157 & 0.00546646447455771 \tabularnewline
0.205 & 0.25521039818437 & 0.00649153029450109 \tabularnewline
0.215 & 0.256678635897367 & 0.00748730911421238 \tabularnewline
0.225 & 0.258337828354569 & 0.0084016454481202 \tabularnewline
0.235 & 0.260164756911930 & 0.00918773263584506 \tabularnewline
0.245 & 0.262128386146123 & 0.00981244010119713 \tabularnewline
0.255 & 0.264192986661706 & 0.0102561874565427 \tabularnewline
0.265 & 0.266321592176918 & 0.010518592728278 \tabularnewline
0.275 & 0.268479380574534 & 0.0106180763212486 \tabularnewline
0.285 & 0.270636517869886 & 0.0105853364416802 \tabularnewline
0.295 & 0.27277006290952 & 0.0104622447140891 \tabularnewline
0.305 & 0.27486469441903 & 0.0102906834032446 \tabularnewline
0.315 & 0.276912251081614 & 0.0101060907187190 \tabularnewline
0.325 & 0.278910306805092 & 0.0099332284726951 \tabularnewline
0.335 & 0.280860173443074 & 0.00978136443481276 \tabularnewline
0.345 & 0.282764789695106 & 0.00964772804436985 \tabularnewline
0.355 & 0.284626909896051 & 0.00952147416893694 \tabularnewline
0.365 & 0.286447875580743 & 0.009387414880314 \tabularnewline
0.375 & 0.288227082509543 & 0.00923159110234417 \tabularnewline
0.385 & 0.28996209566902 & 0.00904450991503658 \tabularnewline
0.395 & 0.291649251543477 & 0.00882190031212913 \tabularnewline
0.405 & 0.293284536954390 & 0.00856650330046719 \tabularnewline
0.415 & 0.294864542763695 & 0.00828568456626431 \tabularnewline
0.425 & 0.296387340329966 & 0.00799098523360744 \tabularnewline
0.435 & 0.297853194947903 & 0.00769736814974533 \tabularnewline
0.445 & 0.299265092067597 & 0.00742106584236478 \tabularnewline
0.455 & 0.300629094495655 & 0.00718082389777135 \tabularnewline
0.465 & 0.301954566285046 & 0.0069949640876876 \tabularnewline
0.475 & 0.303254293493270 & 0.00688317052736052 \tabularnewline
0.485 & 0.304544510516179 & 0.00686697963687597 \tabularnewline
0.495 & 0.305844812878313 & 0.00696540407496008 \tabularnewline
0.505 & 0.307177912870686 & 0.00719745755260888 \tabularnewline
0.515 & 0.308569181231618 & 0.00757821701081623 \tabularnewline
0.525 & 0.310045921181465 & 0.00811538240017696 \tabularnewline
0.535 & 0.311636342019536 & 0.00881095630713037 \tabularnewline
0.545 & 0.313368236068970 & 0.00965547399987297 \tabularnewline
0.555 & 0.315267409814183 & 0.0106313917802324 \tabularnewline
0.565 & 0.317355970180512 & 0.0117091385702308 \tabularnewline
0.575 & 0.319650611471909 & 0.0128529100716 \tabularnewline
0.585 & 0.322161078974781 & 0.0140179373609207 \tabularnewline
0.595 & 0.324888994439408 & 0.0151550341664437 \tabularnewline
0.605 & 0.327827212012198 & 0.016214884722272 \tabularnewline
0.615 & 0.33095983011675 & 0.0171490459902081 \tabularnewline
0.625 & 0.334262919520953 & 0.0179170860839580 \tabularnewline
0.635 & 0.337705949377041 & 0.0184883556418271 \tabularnewline
0.645 & 0.341253813498483 & 0.018844041984374 \tabularnewline
0.655 & 0.344869290641081 & 0.0189807949773673 \tabularnewline
0.665 & 0.34851572343363 & 0.0189105159779494 \tabularnewline
0.675 & 0.352159672894282 & 0.0186589484947671 \tabularnewline
0.685 & 0.355773295412882 & 0.0182607736835273 \tabularnewline
0.695 & 0.359336191522639 & 0.0177624716045389 \tabularnewline
0.705 & 0.362836491162887 & 0.0172124804776341 \tabularnewline
0.715 & 0.366270980444575 & 0.0166592184757576 \tabularnewline
0.725 & 0.369644164014981 & 0.0161459591506497 \tabularnewline
0.735 & 0.372966321884001 & 0.0157024821423481 \tabularnewline
0.745 & 0.376250872477389 & 0.0153417460882492 \tabularnewline
0.755 & 0.37951167183088 & 0.0150569762132411 \tabularnewline
0.765 & 0.382761189178104 & 0.0148250659777112 \tabularnewline
0.775 & 0.386010680438951 & 0.0146183809189453 \tabularnewline
0.785 & 0.389273390364574 & 0.0144211074052373 \tabularnewline
0.795 & 0.392571339138722 & 0.0142515299526217 \tabularnewline
0.805 & 0.395945377739964 & 0.0141810040173257 \tabularnewline
0.815 & 0.399467079512177 & 0.0143467089580208 \tabularnewline
0.825 & 0.403250008155934 & 0.0149449957262728 \tabularnewline
0.835 & 0.407457410796885 & 0.0161926528914524 \tabularnewline
0.845 & 0.412303779321477 & 0.0182631762184122 \tabularnewline
0.855 & 0.418048935737121 & 0.0212338825464862 \tabularnewline
0.865 & 0.424984555305001 & 0.0250736826593388 \tabularnewline
0.875 & 0.43341296110022 & 0.0296639640973028 \tabularnewline
0.885 & 0.443615548484548 & 0.034810816772666 \tabularnewline
0.895 & 0.455804678118983 & 0.04021369458217 \tabularnewline
0.905 & 0.470055046881246 & 0.0453783896207126 \tabularnewline
0.915 & 0.486233592167682 & 0.0495180944431752 \tabularnewline
0.925 & 0.504016460378407 & 0.0516069387378985 \tabularnewline
0.935 & 0.52322762599975 & 0.0508502192677705 \tabularnewline
0.945 & 0.544940700279624 & 0.0480323571983743 \tabularnewline
0.955 & 0.573786374484203 & 0.0493276530447793 \tabularnewline
0.965 & 0.620752162865631 & 0.0727262213090488 \tabularnewline
0.975 & 0.701938155586135 & 0.138547266749535 \tabularnewline
0.985 & 0.823927735291722 & 0.249888962828105 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19108&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]0.226055120114809[/C][C]0.000931337047698883[/C][/ROW]
[ROW][C]0.015[/C][C]0.227275046665400[/C][C]0.00337443504954312[/C][/ROW]
[ROW][C]0.025[/C][C]0.229430398342716[/C][C]0.0052465839824551[/C][/ROW]
[ROW][C]0.035[/C][C]0.232170686708133[/C][C]0.0061110697114636[/C][/ROW]
[ROW][C]0.045[/C][C]0.235085652046052[/C][C]0.00634534042285218[/C][/ROW]
[ROW][C]0.055[/C][C]0.237897345848696[/C][C]0.00629265332948187[/C][/ROW]
[ROW][C]0.065[/C][C]0.240466814562231[/C][C]0.00603227116019025[/C][/ROW]
[ROW][C]0.075[/C][C]0.242731321045385[/C][C]0.00554054356722459[/C][/ROW]
[ROW][C]0.085[/C][C]0.244659573663064[/C][C]0.00483342665064957[/C][/ROW]
[ROW][C]0.095[/C][C]0.246240491474537[/C][C]0.00399449005042701[/C][/ROW]
[ROW][C]0.105[/C][C]0.247487430240751[/C][C]0.00314428807446445[/C][/ROW]
[ROW][C]0.115[/C][C]0.24844098322111[/C][C]0.0024030392371104[/C][/ROW]
[ROW][C]0.125[/C][C]0.249164737176661[/C][C]0.00187211879891573[/C][/ROW]
[ROW][C]0.135[/C][C]0.249736037912086[/C][C]0.00163383250644086[/C][/ROW]
[ROW][C]0.145[/C][C]0.250235848088218[/C][C]0.00172909400923466[/C][/ROW]
[ROW][C]0.155[/C][C]0.250740576405302[/C][C]0.00212237116329454[/C][/ROW]
[ROW][C]0.165[/C][C]0.251316818819551[/C][C]0.00274535612926828[/C][/ROW]
[ROW][C]0.175[/C][C]0.252018600682629[/C][C]0.00354237781941608[/C][/ROW]
[ROW][C]0.185[/C][C]0.252886229863429[/C][C]0.00446570243252631[/C][/ROW]
[ROW][C]0.195[/C][C]0.253946005882157[/C][C]0.00546646447455771[/C][/ROW]
[ROW][C]0.205[/C][C]0.25521039818437[/C][C]0.00649153029450109[/C][/ROW]
[ROW][C]0.215[/C][C]0.256678635897367[/C][C]0.00748730911421238[/C][/ROW]
[ROW][C]0.225[/C][C]0.258337828354569[/C][C]0.0084016454481202[/C][/ROW]
[ROW][C]0.235[/C][C]0.260164756911930[/C][C]0.00918773263584506[/C][/ROW]
[ROW][C]0.245[/C][C]0.262128386146123[/C][C]0.00981244010119713[/C][/ROW]
[ROW][C]0.255[/C][C]0.264192986661706[/C][C]0.0102561874565427[/C][/ROW]
[ROW][C]0.265[/C][C]0.266321592176918[/C][C]0.010518592728278[/C][/ROW]
[ROW][C]0.275[/C][C]0.268479380574534[/C][C]0.0106180763212486[/C][/ROW]
[ROW][C]0.285[/C][C]0.270636517869886[/C][C]0.0105853364416802[/C][/ROW]
[ROW][C]0.295[/C][C]0.27277006290952[/C][C]0.0104622447140891[/C][/ROW]
[ROW][C]0.305[/C][C]0.27486469441903[/C][C]0.0102906834032446[/C][/ROW]
[ROW][C]0.315[/C][C]0.276912251081614[/C][C]0.0101060907187190[/C][/ROW]
[ROW][C]0.325[/C][C]0.278910306805092[/C][C]0.0099332284726951[/C][/ROW]
[ROW][C]0.335[/C][C]0.280860173443074[/C][C]0.00978136443481276[/C][/ROW]
[ROW][C]0.345[/C][C]0.282764789695106[/C][C]0.00964772804436985[/C][/ROW]
[ROW][C]0.355[/C][C]0.284626909896051[/C][C]0.00952147416893694[/C][/ROW]
[ROW][C]0.365[/C][C]0.286447875580743[/C][C]0.009387414880314[/C][/ROW]
[ROW][C]0.375[/C][C]0.288227082509543[/C][C]0.00923159110234417[/C][/ROW]
[ROW][C]0.385[/C][C]0.28996209566902[/C][C]0.00904450991503658[/C][/ROW]
[ROW][C]0.395[/C][C]0.291649251543477[/C][C]0.00882190031212913[/C][/ROW]
[ROW][C]0.405[/C][C]0.293284536954390[/C][C]0.00856650330046719[/C][/ROW]
[ROW][C]0.415[/C][C]0.294864542763695[/C][C]0.00828568456626431[/C][/ROW]
[ROW][C]0.425[/C][C]0.296387340329966[/C][C]0.00799098523360744[/C][/ROW]
[ROW][C]0.435[/C][C]0.297853194947903[/C][C]0.00769736814974533[/C][/ROW]
[ROW][C]0.445[/C][C]0.299265092067597[/C][C]0.00742106584236478[/C][/ROW]
[ROW][C]0.455[/C][C]0.300629094495655[/C][C]0.00718082389777135[/C][/ROW]
[ROW][C]0.465[/C][C]0.301954566285046[/C][C]0.0069949640876876[/C][/ROW]
[ROW][C]0.475[/C][C]0.303254293493270[/C][C]0.00688317052736052[/C][/ROW]
[ROW][C]0.485[/C][C]0.304544510516179[/C][C]0.00686697963687597[/C][/ROW]
[ROW][C]0.495[/C][C]0.305844812878313[/C][C]0.00696540407496008[/C][/ROW]
[ROW][C]0.505[/C][C]0.307177912870686[/C][C]0.00719745755260888[/C][/ROW]
[ROW][C]0.515[/C][C]0.308569181231618[/C][C]0.00757821701081623[/C][/ROW]
[ROW][C]0.525[/C][C]0.310045921181465[/C][C]0.00811538240017696[/C][/ROW]
[ROW][C]0.535[/C][C]0.311636342019536[/C][C]0.00881095630713037[/C][/ROW]
[ROW][C]0.545[/C][C]0.313368236068970[/C][C]0.00965547399987297[/C][/ROW]
[ROW][C]0.555[/C][C]0.315267409814183[/C][C]0.0106313917802324[/C][/ROW]
[ROW][C]0.565[/C][C]0.317355970180512[/C][C]0.0117091385702308[/C][/ROW]
[ROW][C]0.575[/C][C]0.319650611471909[/C][C]0.0128529100716[/C][/ROW]
[ROW][C]0.585[/C][C]0.322161078974781[/C][C]0.0140179373609207[/C][/ROW]
[ROW][C]0.595[/C][C]0.324888994439408[/C][C]0.0151550341664437[/C][/ROW]
[ROW][C]0.605[/C][C]0.327827212012198[/C][C]0.016214884722272[/C][/ROW]
[ROW][C]0.615[/C][C]0.33095983011675[/C][C]0.0171490459902081[/C][/ROW]
[ROW][C]0.625[/C][C]0.334262919520953[/C][C]0.0179170860839580[/C][/ROW]
[ROW][C]0.635[/C][C]0.337705949377041[/C][C]0.0184883556418271[/C][/ROW]
[ROW][C]0.645[/C][C]0.341253813498483[/C][C]0.018844041984374[/C][/ROW]
[ROW][C]0.655[/C][C]0.344869290641081[/C][C]0.0189807949773673[/C][/ROW]
[ROW][C]0.665[/C][C]0.34851572343363[/C][C]0.0189105159779494[/C][/ROW]
[ROW][C]0.675[/C][C]0.352159672894282[/C][C]0.0186589484947671[/C][/ROW]
[ROW][C]0.685[/C][C]0.355773295412882[/C][C]0.0182607736835273[/C][/ROW]
[ROW][C]0.695[/C][C]0.359336191522639[/C][C]0.0177624716045389[/C][/ROW]
[ROW][C]0.705[/C][C]0.362836491162887[/C][C]0.0172124804776341[/C][/ROW]
[ROW][C]0.715[/C][C]0.366270980444575[/C][C]0.0166592184757576[/C][/ROW]
[ROW][C]0.725[/C][C]0.369644164014981[/C][C]0.0161459591506497[/C][/ROW]
[ROW][C]0.735[/C][C]0.372966321884001[/C][C]0.0157024821423481[/C][/ROW]
[ROW][C]0.745[/C][C]0.376250872477389[/C][C]0.0153417460882492[/C][/ROW]
[ROW][C]0.755[/C][C]0.37951167183088[/C][C]0.0150569762132411[/C][/ROW]
[ROW][C]0.765[/C][C]0.382761189178104[/C][C]0.0148250659777112[/C][/ROW]
[ROW][C]0.775[/C][C]0.386010680438951[/C][C]0.0146183809189453[/C][/ROW]
[ROW][C]0.785[/C][C]0.389273390364574[/C][C]0.0144211074052373[/C][/ROW]
[ROW][C]0.795[/C][C]0.392571339138722[/C][C]0.0142515299526217[/C][/ROW]
[ROW][C]0.805[/C][C]0.395945377739964[/C][C]0.0141810040173257[/C][/ROW]
[ROW][C]0.815[/C][C]0.399467079512177[/C][C]0.0143467089580208[/C][/ROW]
[ROW][C]0.825[/C][C]0.403250008155934[/C][C]0.0149449957262728[/C][/ROW]
[ROW][C]0.835[/C][C]0.407457410796885[/C][C]0.0161926528914524[/C][/ROW]
[ROW][C]0.845[/C][C]0.412303779321477[/C][C]0.0182631762184122[/C][/ROW]
[ROW][C]0.855[/C][C]0.418048935737121[/C][C]0.0212338825464862[/C][/ROW]
[ROW][C]0.865[/C][C]0.424984555305001[/C][C]0.0250736826593388[/C][/ROW]
[ROW][C]0.875[/C][C]0.43341296110022[/C][C]0.0296639640973028[/C][/ROW]
[ROW][C]0.885[/C][C]0.443615548484548[/C][C]0.034810816772666[/C][/ROW]
[ROW][C]0.895[/C][C]0.455804678118983[/C][C]0.04021369458217[/C][/ROW]
[ROW][C]0.905[/C][C]0.470055046881246[/C][C]0.0453783896207126[/C][/ROW]
[ROW][C]0.915[/C][C]0.486233592167682[/C][C]0.0495180944431752[/C][/ROW]
[ROW][C]0.925[/C][C]0.504016460378407[/C][C]0.0516069387378985[/C][/ROW]
[ROW][C]0.935[/C][C]0.52322762599975[/C][C]0.0508502192677705[/C][/ROW]
[ROW][C]0.945[/C][C]0.544940700279624[/C][C]0.0480323571983743[/C][/ROW]
[ROW][C]0.955[/C][C]0.573786374484203[/C][C]0.0493276530447793[/C][/ROW]
[ROW][C]0.965[/C][C]0.620752162865631[/C][C]0.0727262213090488[/C][/ROW]
[ROW][C]0.975[/C][C]0.701938155586135[/C][C]0.138547266749535[/C][/ROW]
[ROW][C]0.985[/C][C]0.823927735291722[/C][C]0.249888962828105[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19108&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19108&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0050.2260551201148090.000931337047698883
0.0150.2272750466654000.00337443504954312
0.0250.2294303983427160.0052465839824551
0.0350.2321706867081330.0061110697114636
0.0450.2350856520460520.00634534042285218
0.0550.2378973458486960.00629265332948187
0.0650.2404668145622310.00603227116019025
0.0750.2427313210453850.00554054356722459
0.0850.2446595736630640.00483342665064957
0.0950.2462404914745370.00399449005042701
0.1050.2474874302407510.00314428807446445
0.1150.248440983221110.0024030392371104
0.1250.2491647371766610.00187211879891573
0.1350.2497360379120860.00163383250644086
0.1450.2502358480882180.00172909400923466
0.1550.2507405764053020.00212237116329454
0.1650.2513168188195510.00274535612926828
0.1750.2520186006826290.00354237781941608
0.1850.2528862298634290.00446570243252631
0.1950.2539460058821570.00546646447455771
0.2050.255210398184370.00649153029450109
0.2150.2566786358973670.00748730911421238
0.2250.2583378283545690.0084016454481202
0.2350.2601647569119300.00918773263584506
0.2450.2621283861461230.00981244010119713
0.2550.2641929866617060.0102561874565427
0.2650.2663215921769180.010518592728278
0.2750.2684793805745340.0106180763212486
0.2850.2706365178698860.0105853364416802
0.2950.272770062909520.0104622447140891
0.3050.274864694419030.0102906834032446
0.3150.2769122510816140.0101060907187190
0.3250.2789103068050920.0099332284726951
0.3350.2808601734430740.00978136443481276
0.3450.2827647896951060.00964772804436985
0.3550.2846269098960510.00952147416893694
0.3650.2864478755807430.009387414880314
0.3750.2882270825095430.00923159110234417
0.3850.289962095669020.00904450991503658
0.3950.2916492515434770.00882190031212913
0.4050.2932845369543900.00856650330046719
0.4150.2948645427636950.00828568456626431
0.4250.2963873403299660.00799098523360744
0.4350.2978531949479030.00769736814974533
0.4450.2992650920675970.00742106584236478
0.4550.3006290944956550.00718082389777135
0.4650.3019545662850460.0069949640876876
0.4750.3032542934932700.00688317052736052
0.4850.3045445105161790.00686697963687597
0.4950.3058448128783130.00696540407496008
0.5050.3071779128706860.00719745755260888
0.5150.3085691812316180.00757821701081623
0.5250.3100459211814650.00811538240017696
0.5350.3116363420195360.00881095630713037
0.5450.3133682360689700.00965547399987297
0.5550.3152674098141830.0106313917802324
0.5650.3173559701805120.0117091385702308
0.5750.3196506114719090.0128529100716
0.5850.3221610789747810.0140179373609207
0.5950.3248889944394080.0151550341664437
0.6050.3278272120121980.016214884722272
0.6150.330959830116750.0171490459902081
0.6250.3342629195209530.0179170860839580
0.6350.3377059493770410.0184883556418271
0.6450.3412538134984830.018844041984374
0.6550.3448692906410810.0189807949773673
0.6650.348515723433630.0189105159779494
0.6750.3521596728942820.0186589484947671
0.6850.3557732954128820.0182607736835273
0.6950.3593361915226390.0177624716045389
0.7050.3628364911628870.0172124804776341
0.7150.3662709804445750.0166592184757576
0.7250.3696441640149810.0161459591506497
0.7350.3729663218840010.0157024821423481
0.7450.3762508724773890.0153417460882492
0.7550.379511671830880.0150569762132411
0.7650.3827611891781040.0148250659777112
0.7750.3860106804389510.0146183809189453
0.7850.3892733903645740.0144211074052373
0.7950.3925713391387220.0142515299526217
0.8050.3959453777399640.0141810040173257
0.8150.3994670795121770.0143467089580208
0.8250.4032500081559340.0149449957262728
0.8350.4074574107968850.0161926528914524
0.8450.4123037793214770.0182631762184122
0.8550.4180489357371210.0212338825464862
0.8650.4249845553050010.0250736826593388
0.8750.433412961100220.0296639640973028
0.8850.4436155484845480.034810816772666
0.8950.4558046781189830.04021369458217
0.9050.4700550468812460.0453783896207126
0.9150.4862335921676820.0495180944431752
0.9250.5040164603784070.0516069387378985
0.9350.523227625999750.0508502192677705
0.9450.5449407002796240.0480323571983743
0.9550.5737863744842030.0493276530447793
0.9650.6207521628656310.0727262213090488
0.9750.7019381555861350.138547266749535
0.9850.8239277352917220.249888962828105



Parameters (Session):
par1 = 0.005 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.005 ; 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')