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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 computationSat, 25 Oct 2008 09:15:47 -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/25/t1224947775kb1644t7lzy6k75.htm/, Retrieved Sun, 19 May 2024 05:36:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18769, Retrieved Sun, 19 May 2024 05:36:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167

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] [] [2008-10-25 15:15:47] [6d40a467de0f28bd2350f82ac9522c51] [Current]
F    D      [Harrell-Davis Quantiles] [] [2008-10-27 17:18:52] [077ffec662d24c06be4c491541a44245]
-   PD        [Harrell-Davis Quantiles] [] [2008-10-27 17:24:48] [077ffec662d24c06be4c491541a44245]
- R PD        [Harrell-Davis Quantiles] [distributions tas...] [2008-10-28 18:34:23] [077ffec662d24c06be4c491541a44245]
Feedback Forum
2008-10-30 15:47:22 [2df1bcd103d52957f4a39bd4617794c8] [reply] 
De analyse van de student is, naar mijn mening, correct.
2008-11-03 08:28:20 [Siem Van Opstal] [reply] 
correcte berekening en goede conclusie

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
299,63
305,945
382,252
348,846
335,367
373,617
312,612
312,232
337,161
331,476
350,103
345,127
297,256
295,979
361,007
321,803
354,937
349,432
290,979
349,576
327,625
349,377
336,777
339,134
323,321
318,86
373,583
333,03
408,556
414,646
291,514
348,857
349,368
375,765
364,136
349,53
348,167
332,856
360,551
346,969
392,815
372,02
371,027
342,672
367,343
390,786
343,785
362,6
349,468
340,624
369,536
407,782
392,239
404,824
373,669
344,902
396,7
398,911
366,009
392,484

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18769&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18769&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18769&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 time4 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01291.3993072943591.33216381498244
0.02292.2636897424362.45007712569238
0.03293.5242669799513.42666559989671
0.04295.0839787297334.23708662297434
0.05296.8595742506225.03098666031873
0.06298.802002407575.878638676935
0.07300.8850033473036.72032875900175
0.08303.0853304332767.45145108276387
0.09305.3709257317877.99702104276697
0.1307.7006507250528.33600634208128
0.11310.0309645821458.49241383663663
0.12312.3233837482678.51133842935075
0.13314.5489387353478.43800236122863
0.14316.6888781952978.3051932929198
0.15318.7327707061268.13014899164758
0.16320.6756619932437.9208047692214
0.17322.515564028817.67675996372881
0.18324.2518840800387.39935786834639
0.19325.8848346964527.09118639426084
0.2327.4155415837296.76004662513709
0.21328.8464678972436.41813555435646
0.22330.1818217422056.07894842071655
0.23331.4277296085575.75816436418897
0.24332.5920863954165.46921598347486
0.25333.6841007600475.22091164260819
0.26334.7136279775865.01738809841351
0.27335.6904175243054.85749795116021
0.28336.6234028090194.73464026024936
0.29337.5201345698804.63942895037734
0.3338.3864188690234.56122122901947
0.31339.2261769485524.48890527183798
0.32340.0415068888514.4131717204955
0.33340.8329018797584.32668917599255
0.34341.5995689317064.22366039826117
0.35342.3397936904804.10178948510549
0.36343.0513081701483.95974860250017
0.37343.7316341996423.79781866286681
0.38344.3783917638623.61882863222988
0.39344.9895746070073.42472195932474
0.4345.5638031367103.22031870167179
0.41346.1005659624853.01067746538601
0.42346.6004568300582.80201193122305
0.43347.0654048565552.60314476311549
0.44347.4988850685232.42393888598662
0.45347.9060857522132.27589650488003
0.46348.2940013474782.17283305278495
0.47348.6714164433972.12937730197919
0.48349.0487491763252.15923580763590
0.49349.4377316007972.27243311961491
0.5349.8509201827332.47185476294737
0.51350.3010502583842.75534406306632
0.52350.8002718298393.11131627816429
0.53351.359327095673.52534533598917
0.54351.9867485598083.97952280054481
0.55352.6881662177344.45053408872695
0.56353.4658097651444.91728167824153
0.57354.3182753736135.35458397885297
0.58355.2405972870835.74197821369547
0.59356.2246261788866.06251769033866
0.6357.2596752542196.30342720326194
0.61358.333359253446.45834876338819
0.62359.4325282750726.52745408374178
0.63360.5441930232036.51572075278464
0.64361.6563523592266.43397428525112
0.65362.7586651307226.29467303368271
0.66363.842949170756.11286912536313
0.67364.9035311250795.90359195271948
0.68365.937500399175.68178803858549
0.69366.9449294668515.46239708871139
0.7367.9291053220385.26123939960685
0.71368.8967731177385.09534981945461
0.72369.8583303464394.98485712375421
0.73370.8278430528864.9502725821622
0.74371.8227055275045.0134980269082
0.75372.8627556523075.18995404207709
0.76373.9687108436035.4839311767479
0.77375.1599152771715.88335176943028
0.78376.451579950536.3569997969773
0.79377.8519202036756.85665306596219
0.8379.3597921256847.32273736352855
0.81380.9635248953127.6925144636844
0.82382.6415690748947.91093787615838
0.83384.3652909193587.94213115620957
0.84386.103757790257.77791479962101
0.85387.8297698652037.44430941273746
0.86389.5258506449697.0004025119399
0.87391.1885907945526.52877957341641
0.88392.8297983485546.11911102852479
0.89394.4734290285535.84169824211241
0.9396.1482690428685.7193157846796
0.91397.8777939908735.71034520871642
0.92399.6704589511865.71816438984102
0.93401.5155594547525.62310898595137
0.94403.3905301862825.32863693847914
0.95405.2820455730614.81816295049419
0.96407.2107185898644.22502818690404
0.97409.2264147607113.89231047415596
0.98411.3266257313334.21985668543299
0.99413.2983217371675.12883126114331

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 291.399307294359 & 1.33216381498244 \tabularnewline
0.02 & 292.263689742436 & 2.45007712569238 \tabularnewline
0.03 & 293.524266979951 & 3.42666559989671 \tabularnewline
0.04 & 295.083978729733 & 4.23708662297434 \tabularnewline
0.05 & 296.859574250622 & 5.03098666031873 \tabularnewline
0.06 & 298.80200240757 & 5.878638676935 \tabularnewline
0.07 & 300.885003347303 & 6.72032875900175 \tabularnewline
0.08 & 303.085330433276 & 7.45145108276387 \tabularnewline
0.09 & 305.370925731787 & 7.99702104276697 \tabularnewline
0.1 & 307.700650725052 & 8.33600634208128 \tabularnewline
0.11 & 310.030964582145 & 8.49241383663663 \tabularnewline
0.12 & 312.323383748267 & 8.51133842935075 \tabularnewline
0.13 & 314.548938735347 & 8.43800236122863 \tabularnewline
0.14 & 316.688878195297 & 8.3051932929198 \tabularnewline
0.15 & 318.732770706126 & 8.13014899164758 \tabularnewline
0.16 & 320.675661993243 & 7.9208047692214 \tabularnewline
0.17 & 322.51556402881 & 7.67675996372881 \tabularnewline
0.18 & 324.251884080038 & 7.39935786834639 \tabularnewline
0.19 & 325.884834696452 & 7.09118639426084 \tabularnewline
0.2 & 327.415541583729 & 6.76004662513709 \tabularnewline
0.21 & 328.846467897243 & 6.41813555435646 \tabularnewline
0.22 & 330.181821742205 & 6.07894842071655 \tabularnewline
0.23 & 331.427729608557 & 5.75816436418897 \tabularnewline
0.24 & 332.592086395416 & 5.46921598347486 \tabularnewline
0.25 & 333.684100760047 & 5.22091164260819 \tabularnewline
0.26 & 334.713627977586 & 5.01738809841351 \tabularnewline
0.27 & 335.690417524305 & 4.85749795116021 \tabularnewline
0.28 & 336.623402809019 & 4.73464026024936 \tabularnewline
0.29 & 337.520134569880 & 4.63942895037734 \tabularnewline
0.3 & 338.386418869023 & 4.56122122901947 \tabularnewline
0.31 & 339.226176948552 & 4.48890527183798 \tabularnewline
0.32 & 340.041506888851 & 4.4131717204955 \tabularnewline
0.33 & 340.832901879758 & 4.32668917599255 \tabularnewline
0.34 & 341.599568931706 & 4.22366039826117 \tabularnewline
0.35 & 342.339793690480 & 4.10178948510549 \tabularnewline
0.36 & 343.051308170148 & 3.95974860250017 \tabularnewline
0.37 & 343.731634199642 & 3.79781866286681 \tabularnewline
0.38 & 344.378391763862 & 3.61882863222988 \tabularnewline
0.39 & 344.989574607007 & 3.42472195932474 \tabularnewline
0.4 & 345.563803136710 & 3.22031870167179 \tabularnewline
0.41 & 346.100565962485 & 3.01067746538601 \tabularnewline
0.42 & 346.600456830058 & 2.80201193122305 \tabularnewline
0.43 & 347.065404856555 & 2.60314476311549 \tabularnewline
0.44 & 347.498885068523 & 2.42393888598662 \tabularnewline
0.45 & 347.906085752213 & 2.27589650488003 \tabularnewline
0.46 & 348.294001347478 & 2.17283305278495 \tabularnewline
0.47 & 348.671416443397 & 2.12937730197919 \tabularnewline
0.48 & 349.048749176325 & 2.15923580763590 \tabularnewline
0.49 & 349.437731600797 & 2.27243311961491 \tabularnewline
0.5 & 349.850920182733 & 2.47185476294737 \tabularnewline
0.51 & 350.301050258384 & 2.75534406306632 \tabularnewline
0.52 & 350.800271829839 & 3.11131627816429 \tabularnewline
0.53 & 351.35932709567 & 3.52534533598917 \tabularnewline
0.54 & 351.986748559808 & 3.97952280054481 \tabularnewline
0.55 & 352.688166217734 & 4.45053408872695 \tabularnewline
0.56 & 353.465809765144 & 4.91728167824153 \tabularnewline
0.57 & 354.318275373613 & 5.35458397885297 \tabularnewline
0.58 & 355.240597287083 & 5.74197821369547 \tabularnewline
0.59 & 356.224626178886 & 6.06251769033866 \tabularnewline
0.6 & 357.259675254219 & 6.30342720326194 \tabularnewline
0.61 & 358.33335925344 & 6.45834876338819 \tabularnewline
0.62 & 359.432528275072 & 6.52745408374178 \tabularnewline
0.63 & 360.544193023203 & 6.51572075278464 \tabularnewline
0.64 & 361.656352359226 & 6.43397428525112 \tabularnewline
0.65 & 362.758665130722 & 6.29467303368271 \tabularnewline
0.66 & 363.84294917075 & 6.11286912536313 \tabularnewline
0.67 & 364.903531125079 & 5.90359195271948 \tabularnewline
0.68 & 365.93750039917 & 5.68178803858549 \tabularnewline
0.69 & 366.944929466851 & 5.46239708871139 \tabularnewline
0.7 & 367.929105322038 & 5.26123939960685 \tabularnewline
0.71 & 368.896773117738 & 5.09534981945461 \tabularnewline
0.72 & 369.858330346439 & 4.98485712375421 \tabularnewline
0.73 & 370.827843052886 & 4.9502725821622 \tabularnewline
0.74 & 371.822705527504 & 5.0134980269082 \tabularnewline
0.75 & 372.862755652307 & 5.18995404207709 \tabularnewline
0.76 & 373.968710843603 & 5.4839311767479 \tabularnewline
0.77 & 375.159915277171 & 5.88335176943028 \tabularnewline
0.78 & 376.45157995053 & 6.3569997969773 \tabularnewline
0.79 & 377.851920203675 & 6.85665306596219 \tabularnewline
0.8 & 379.359792125684 & 7.32273736352855 \tabularnewline
0.81 & 380.963524895312 & 7.6925144636844 \tabularnewline
0.82 & 382.641569074894 & 7.91093787615838 \tabularnewline
0.83 & 384.365290919358 & 7.94213115620957 \tabularnewline
0.84 & 386.10375779025 & 7.77791479962101 \tabularnewline
0.85 & 387.829769865203 & 7.44430941273746 \tabularnewline
0.86 & 389.525850644969 & 7.0004025119399 \tabularnewline
0.87 & 391.188590794552 & 6.52877957341641 \tabularnewline
0.88 & 392.829798348554 & 6.11911102852479 \tabularnewline
0.89 & 394.473429028553 & 5.84169824211241 \tabularnewline
0.9 & 396.148269042868 & 5.7193157846796 \tabularnewline
0.91 & 397.877793990873 & 5.71034520871642 \tabularnewline
0.92 & 399.670458951186 & 5.71816438984102 \tabularnewline
0.93 & 401.515559454752 & 5.62310898595137 \tabularnewline
0.94 & 403.390530186282 & 5.32863693847914 \tabularnewline
0.95 & 405.282045573061 & 4.81816295049419 \tabularnewline
0.96 & 407.210718589864 & 4.22502818690404 \tabularnewline
0.97 & 409.226414760711 & 3.89231047415596 \tabularnewline
0.98 & 411.326625731333 & 4.21985668543299 \tabularnewline
0.99 & 413.298321737167 & 5.12883126114331 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18769&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]291.399307294359[/C][C]1.33216381498244[/C][/ROW]
[ROW][C]0.02[/C][C]292.263689742436[/C][C]2.45007712569238[/C][/ROW]
[ROW][C]0.03[/C][C]293.524266979951[/C][C]3.42666559989671[/C][/ROW]
[ROW][C]0.04[/C][C]295.083978729733[/C][C]4.23708662297434[/C][/ROW]
[ROW][C]0.05[/C][C]296.859574250622[/C][C]5.03098666031873[/C][/ROW]
[ROW][C]0.06[/C][C]298.80200240757[/C][C]5.878638676935[/C][/ROW]
[ROW][C]0.07[/C][C]300.885003347303[/C][C]6.72032875900175[/C][/ROW]
[ROW][C]0.08[/C][C]303.085330433276[/C][C]7.45145108276387[/C][/ROW]
[ROW][C]0.09[/C][C]305.370925731787[/C][C]7.99702104276697[/C][/ROW]
[ROW][C]0.1[/C][C]307.700650725052[/C][C]8.33600634208128[/C][/ROW]
[ROW][C]0.11[/C][C]310.030964582145[/C][C]8.49241383663663[/C][/ROW]
[ROW][C]0.12[/C][C]312.323383748267[/C][C]8.51133842935075[/C][/ROW]
[ROW][C]0.13[/C][C]314.548938735347[/C][C]8.43800236122863[/C][/ROW]
[ROW][C]0.14[/C][C]316.688878195297[/C][C]8.3051932929198[/C][/ROW]
[ROW][C]0.15[/C][C]318.732770706126[/C][C]8.13014899164758[/C][/ROW]
[ROW][C]0.16[/C][C]320.675661993243[/C][C]7.9208047692214[/C][/ROW]
[ROW][C]0.17[/C][C]322.51556402881[/C][C]7.67675996372881[/C][/ROW]
[ROW][C]0.18[/C][C]324.251884080038[/C][C]7.39935786834639[/C][/ROW]
[ROW][C]0.19[/C][C]325.884834696452[/C][C]7.09118639426084[/C][/ROW]
[ROW][C]0.2[/C][C]327.415541583729[/C][C]6.76004662513709[/C][/ROW]
[ROW][C]0.21[/C][C]328.846467897243[/C][C]6.41813555435646[/C][/ROW]
[ROW][C]0.22[/C][C]330.181821742205[/C][C]6.07894842071655[/C][/ROW]
[ROW][C]0.23[/C][C]331.427729608557[/C][C]5.75816436418897[/C][/ROW]
[ROW][C]0.24[/C][C]332.592086395416[/C][C]5.46921598347486[/C][/ROW]
[ROW][C]0.25[/C][C]333.684100760047[/C][C]5.22091164260819[/C][/ROW]
[ROW][C]0.26[/C][C]334.713627977586[/C][C]5.01738809841351[/C][/ROW]
[ROW][C]0.27[/C][C]335.690417524305[/C][C]4.85749795116021[/C][/ROW]
[ROW][C]0.28[/C][C]336.623402809019[/C][C]4.73464026024936[/C][/ROW]
[ROW][C]0.29[/C][C]337.520134569880[/C][C]4.63942895037734[/C][/ROW]
[ROW][C]0.3[/C][C]338.386418869023[/C][C]4.56122122901947[/C][/ROW]
[ROW][C]0.31[/C][C]339.226176948552[/C][C]4.48890527183798[/C][/ROW]
[ROW][C]0.32[/C][C]340.041506888851[/C][C]4.4131717204955[/C][/ROW]
[ROW][C]0.33[/C][C]340.832901879758[/C][C]4.32668917599255[/C][/ROW]
[ROW][C]0.34[/C][C]341.599568931706[/C][C]4.22366039826117[/C][/ROW]
[ROW][C]0.35[/C][C]342.339793690480[/C][C]4.10178948510549[/C][/ROW]
[ROW][C]0.36[/C][C]343.051308170148[/C][C]3.95974860250017[/C][/ROW]
[ROW][C]0.37[/C][C]343.731634199642[/C][C]3.79781866286681[/C][/ROW]
[ROW][C]0.38[/C][C]344.378391763862[/C][C]3.61882863222988[/C][/ROW]
[ROW][C]0.39[/C][C]344.989574607007[/C][C]3.42472195932474[/C][/ROW]
[ROW][C]0.4[/C][C]345.563803136710[/C][C]3.22031870167179[/C][/ROW]
[ROW][C]0.41[/C][C]346.100565962485[/C][C]3.01067746538601[/C][/ROW]
[ROW][C]0.42[/C][C]346.600456830058[/C][C]2.80201193122305[/C][/ROW]
[ROW][C]0.43[/C][C]347.065404856555[/C][C]2.60314476311549[/C][/ROW]
[ROW][C]0.44[/C][C]347.498885068523[/C][C]2.42393888598662[/C][/ROW]
[ROW][C]0.45[/C][C]347.906085752213[/C][C]2.27589650488003[/C][/ROW]
[ROW][C]0.46[/C][C]348.294001347478[/C][C]2.17283305278495[/C][/ROW]
[ROW][C]0.47[/C][C]348.671416443397[/C][C]2.12937730197919[/C][/ROW]
[ROW][C]0.48[/C][C]349.048749176325[/C][C]2.15923580763590[/C][/ROW]
[ROW][C]0.49[/C][C]349.437731600797[/C][C]2.27243311961491[/C][/ROW]
[ROW][C]0.5[/C][C]349.850920182733[/C][C]2.47185476294737[/C][/ROW]
[ROW][C]0.51[/C][C]350.301050258384[/C][C]2.75534406306632[/C][/ROW]
[ROW][C]0.52[/C][C]350.800271829839[/C][C]3.11131627816429[/C][/ROW]
[ROW][C]0.53[/C][C]351.35932709567[/C][C]3.52534533598917[/C][/ROW]
[ROW][C]0.54[/C][C]351.986748559808[/C][C]3.97952280054481[/C][/ROW]
[ROW][C]0.55[/C][C]352.688166217734[/C][C]4.45053408872695[/C][/ROW]
[ROW][C]0.56[/C][C]353.465809765144[/C][C]4.91728167824153[/C][/ROW]
[ROW][C]0.57[/C][C]354.318275373613[/C][C]5.35458397885297[/C][/ROW]
[ROW][C]0.58[/C][C]355.240597287083[/C][C]5.74197821369547[/C][/ROW]
[ROW][C]0.59[/C][C]356.224626178886[/C][C]6.06251769033866[/C][/ROW]
[ROW][C]0.6[/C][C]357.259675254219[/C][C]6.30342720326194[/C][/ROW]
[ROW][C]0.61[/C][C]358.33335925344[/C][C]6.45834876338819[/C][/ROW]
[ROW][C]0.62[/C][C]359.432528275072[/C][C]6.52745408374178[/C][/ROW]
[ROW][C]0.63[/C][C]360.544193023203[/C][C]6.51572075278464[/C][/ROW]
[ROW][C]0.64[/C][C]361.656352359226[/C][C]6.43397428525112[/C][/ROW]
[ROW][C]0.65[/C][C]362.758665130722[/C][C]6.29467303368271[/C][/ROW]
[ROW][C]0.66[/C][C]363.84294917075[/C][C]6.11286912536313[/C][/ROW]
[ROW][C]0.67[/C][C]364.903531125079[/C][C]5.90359195271948[/C][/ROW]
[ROW][C]0.68[/C][C]365.93750039917[/C][C]5.68178803858549[/C][/ROW]
[ROW][C]0.69[/C][C]366.944929466851[/C][C]5.46239708871139[/C][/ROW]
[ROW][C]0.7[/C][C]367.929105322038[/C][C]5.26123939960685[/C][/ROW]
[ROW][C]0.71[/C][C]368.896773117738[/C][C]5.09534981945461[/C][/ROW]
[ROW][C]0.72[/C][C]369.858330346439[/C][C]4.98485712375421[/C][/ROW]
[ROW][C]0.73[/C][C]370.827843052886[/C][C]4.9502725821622[/C][/ROW]
[ROW][C]0.74[/C][C]371.822705527504[/C][C]5.0134980269082[/C][/ROW]
[ROW][C]0.75[/C][C]372.862755652307[/C][C]5.18995404207709[/C][/ROW]
[ROW][C]0.76[/C][C]373.968710843603[/C][C]5.4839311767479[/C][/ROW]
[ROW][C]0.77[/C][C]375.159915277171[/C][C]5.88335176943028[/C][/ROW]
[ROW][C]0.78[/C][C]376.45157995053[/C][C]6.3569997969773[/C][/ROW]
[ROW][C]0.79[/C][C]377.851920203675[/C][C]6.85665306596219[/C][/ROW]
[ROW][C]0.8[/C][C]379.359792125684[/C][C]7.32273736352855[/C][/ROW]
[ROW][C]0.81[/C][C]380.963524895312[/C][C]7.6925144636844[/C][/ROW]
[ROW][C]0.82[/C][C]382.641569074894[/C][C]7.91093787615838[/C][/ROW]
[ROW][C]0.83[/C][C]384.365290919358[/C][C]7.94213115620957[/C][/ROW]
[ROW][C]0.84[/C][C]386.10375779025[/C][C]7.77791479962101[/C][/ROW]
[ROW][C]0.85[/C][C]387.829769865203[/C][C]7.44430941273746[/C][/ROW]
[ROW][C]0.86[/C][C]389.525850644969[/C][C]7.0004025119399[/C][/ROW]
[ROW][C]0.87[/C][C]391.188590794552[/C][C]6.52877957341641[/C][/ROW]
[ROW][C]0.88[/C][C]392.829798348554[/C][C]6.11911102852479[/C][/ROW]
[ROW][C]0.89[/C][C]394.473429028553[/C][C]5.84169824211241[/C][/ROW]
[ROW][C]0.9[/C][C]396.148269042868[/C][C]5.7193157846796[/C][/ROW]
[ROW][C]0.91[/C][C]397.877793990873[/C][C]5.71034520871642[/C][/ROW]
[ROW][C]0.92[/C][C]399.670458951186[/C][C]5.71816438984102[/C][/ROW]
[ROW][C]0.93[/C][C]401.515559454752[/C][C]5.62310898595137[/C][/ROW]
[ROW][C]0.94[/C][C]403.390530186282[/C][C]5.32863693847914[/C][/ROW]
[ROW][C]0.95[/C][C]405.282045573061[/C][C]4.81816295049419[/C][/ROW]
[ROW][C]0.96[/C][C]407.210718589864[/C][C]4.22502818690404[/C][/ROW]
[ROW][C]0.97[/C][C]409.226414760711[/C][C]3.89231047415596[/C][/ROW]
[ROW][C]0.98[/C][C]411.326625731333[/C][C]4.21985668543299[/C][/ROW]
[ROW][C]0.99[/C][C]413.298321737167[/C][C]5.12883126114331[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18769&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18769&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
0.01291.3993072943591.33216381498244
0.02292.2636897424362.45007712569238
0.03293.5242669799513.42666559989671
0.04295.0839787297334.23708662297434
0.05296.8595742506225.03098666031873
0.06298.802002407575.878638676935
0.07300.8850033473036.72032875900175
0.08303.0853304332767.45145108276387
0.09305.3709257317877.99702104276697
0.1307.7006507250528.33600634208128
0.11310.0309645821458.49241383663663
0.12312.3233837482678.51133842935075
0.13314.5489387353478.43800236122863
0.14316.6888781952978.3051932929198
0.15318.7327707061268.13014899164758
0.16320.6756619932437.9208047692214
0.17322.515564028817.67675996372881
0.18324.2518840800387.39935786834639
0.19325.8848346964527.09118639426084
0.2327.4155415837296.76004662513709
0.21328.8464678972436.41813555435646
0.22330.1818217422056.07894842071655
0.23331.4277296085575.75816436418897
0.24332.5920863954165.46921598347486
0.25333.6841007600475.22091164260819
0.26334.7136279775865.01738809841351
0.27335.6904175243054.85749795116021
0.28336.6234028090194.73464026024936
0.29337.5201345698804.63942895037734
0.3338.3864188690234.56122122901947
0.31339.2261769485524.48890527183798
0.32340.0415068888514.4131717204955
0.33340.8329018797584.32668917599255
0.34341.5995689317064.22366039826117
0.35342.3397936904804.10178948510549
0.36343.0513081701483.95974860250017
0.37343.7316341996423.79781866286681
0.38344.3783917638623.61882863222988
0.39344.9895746070073.42472195932474
0.4345.5638031367103.22031870167179
0.41346.1005659624853.01067746538601
0.42346.6004568300582.80201193122305
0.43347.0654048565552.60314476311549
0.44347.4988850685232.42393888598662
0.45347.9060857522132.27589650488003
0.46348.2940013474782.17283305278495
0.47348.6714164433972.12937730197919
0.48349.0487491763252.15923580763590
0.49349.4377316007972.27243311961491
0.5349.8509201827332.47185476294737
0.51350.3010502583842.75534406306632
0.52350.8002718298393.11131627816429
0.53351.359327095673.52534533598917
0.54351.9867485598083.97952280054481
0.55352.6881662177344.45053408872695
0.56353.4658097651444.91728167824153
0.57354.3182753736135.35458397885297
0.58355.2405972870835.74197821369547
0.59356.2246261788866.06251769033866
0.6357.2596752542196.30342720326194
0.61358.333359253446.45834876338819
0.62359.4325282750726.52745408374178
0.63360.5441930232036.51572075278464
0.64361.6563523592266.43397428525112
0.65362.7586651307226.29467303368271
0.66363.842949170756.11286912536313
0.67364.9035311250795.90359195271948
0.68365.937500399175.68178803858549
0.69366.9449294668515.46239708871139
0.7367.9291053220385.26123939960685
0.71368.8967731177385.09534981945461
0.72369.8583303464394.98485712375421
0.73370.8278430528864.9502725821622
0.74371.8227055275045.0134980269082
0.75372.8627556523075.18995404207709
0.76373.9687108436035.4839311767479
0.77375.1599152771715.88335176943028
0.78376.451579950536.3569997969773
0.79377.8519202036756.85665306596219
0.8379.3597921256847.32273736352855
0.81380.9635248953127.6925144636844
0.82382.6415690748947.91093787615838
0.83384.3652909193587.94213115620957
0.84386.103757790257.77791479962101
0.85387.8297698652037.44430941273746
0.86389.5258506449697.0004025119399
0.87391.1885907945526.52877957341641
0.88392.8297983485546.11911102852479
0.89394.4734290285535.84169824211241
0.9396.1482690428685.7193157846796
0.91397.8777939908735.71034520871642
0.92399.6704589511865.71816438984102
0.93401.5155594547525.62310898595137
0.94403.3905301862825.32863693847914
0.95405.2820455730614.81816295049419
0.96407.2107185898644.22502818690404
0.97409.2264147607113.89231047415596
0.98411.3266257313334.21985668543299
0.99413.2983217371675.12883126114331


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')