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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 25 Mar 2009 11:12:32 -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/2009/Mar/25/t1238001186zqmnthg3u0e487e.htm/, Retrieved Fri, 19 Apr 2024 12:46:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39184, Retrieved Fri, 19 Apr 2024 12:46:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact198

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2009-03-25 17:12:32] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
517
540
454
292
445
483
545
355
370
372
422
445
471
413
307
308
389
377
521
420
413
384
466
434
263
334
334
416
309
334
350
337
277
439
433
455
372
409
471
382
417
405
410
357
360
329
359
393
448
593
535
449
742
631
513
526
677
631
547
533
433
427
470
418
485
464
439
452
423
537
384
380

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 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 & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39184&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]8 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=39184&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39184&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 time8 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01268.07832085619614.1016459223447
0.02276.15222679808614.967864190247
0.03284.91936678581215.3495839780707
0.04293.06149706346414.8179233747644
0.05300.18496247291213.9687977433531
0.06306.36387015101313.4388353654339
0.07311.82252214515913.3269368818342
0.08316.76966882306913.3337177814022
0.09321.3368098009913.1804494734598
0.1325.58608140584112.8201310293701
0.11329.54856133597312.3944550285836
0.12333.25756769559512.0867332476047
0.13336.76027068234211.9933083615809
0.14340.11040759620212.0841990581354
0.15343.35416754563512.2519033815023
0.16346.52001148935612.3861233992209
0.17349.61686735763412.418133603646
0.18352.6393089945412.3327176289745
0.19355.57562783468412.1526440624882
0.2358.41500861888711.9165230759424
0.21361.15185049838511.6628379440503
0.22363.78714733813511.4213294218867
0.23366.32793111679711.2108205069810
0.24368.7859739577611.0461811290119
0.25371.17655099487110.9426993795549
0.26373.51750601641410.9159536877342
0.27375.82844267563410.9819100565387
0.28378.12971227424211.1496800319303
0.29380.44095931628911.4168562361719
0.3382.77921251294311.7671173128428
0.31385.15675240040812.166441013708
0.32387.57915570225312.5693324819148
0.33390.04396310135312.9234831617025
0.34392.54033582713113.1794754960976
0.35395.04988552682613.2950864899063
0.36397.54863069484913.2448157522070
0.37400.00980883258713.0212286579812
0.38402.40710832277812.6384420524649
0.39404.71781239676112.1269297551901
0.4406.92537990830511.5315734793089
0.41409.02110928218710.9035934245690
0.42411.00470933364910.2955231972032
0.43412.883791475779.75391152055227
0.44414.6724629040979.31446046045368
0.45416.3893122865608.99829847039672
0.46418.0551269148458.81045838059209
0.47419.6906669581718.74198277765538
0.48421.3147628633168.77239554902178
0.49422.9429154156188.87450943572855
0.5424.5864836072529.01909311643985
0.51426.2524587339889.17993461879918
0.52427.9437544930759.3337502861595
0.53429.6598975886359.46406409690042
0.54431.3979822323689.5617970867099
0.55433.153752010239.62259262077224
0.56434.9226882393739.64936650301575
0.57436.7010082352039.64991834276901
0.58438.4865033946449.63519660753397
0.59440.2791715475819.61967295165284
0.6442.0816200441839.61824678434462
0.61443.8992383197239.64716728465035
0.62445.7401654093749.72155789017507
0.63447.615111226729.85444568235093
0.64449.53712672037810.0548180478132
0.65451.52144558877610.3300760232531
0.66453.58552047215610.6863681830114
0.67455.74932956292611.1302765565883
0.68458.03592370671411.6741200589988
0.69460.47202667368712.3335417905524
0.7463.08832645288513.1301275987864
0.71465.91896337539314.0850363262483
0.72468.99970526806915.2070303872698
0.73472.36446304951216.4851704003804
0.74476.04016218989617.874401683206
0.75480.04049789332419.2934703775577
0.76484.3596414937920.6286031770244
0.77488.96735860519821.7446554338522
0.78493.8070778699422.5078888999948
0.79498.7981236663722.8070493234469
0.8503.84264851583522.5778135753169
0.81508.83697809432321.8177855888698
0.82513.68641760070620.5945619276216
0.83518.32233045750419.043418273422
0.84522.72054172528817.3602021271283
0.85526.92051450746415.7990893900283
0.86531.0445465594814.6781006908665
0.87535.31446698164714.3931279188882
0.88540.05944090118115.3741153860895
0.89545.70358388814117.9258155883375
0.9552.7201638727322.0286613018279
0.91561.54733048694127.2305765263793
0.92572.48531923933832.6430204737806
0.93585.63462264507937.1109218065920
0.94600.96582014192339.6989081949926
0.95618.58441671192740.4429106876211
0.96639.09357334692740.8882758679425
0.97663.59042260190943.4145604844406
0.98692.36616100961849.266065426267
0.99721.75621978540157.4194519679637

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 268.078320856196 & 14.1016459223447 \tabularnewline
0.02 & 276.152226798086 & 14.967864190247 \tabularnewline
0.03 & 284.919366785812 & 15.3495839780707 \tabularnewline
0.04 & 293.061497063464 & 14.8179233747644 \tabularnewline
0.05 & 300.184962472912 & 13.9687977433531 \tabularnewline
0.06 & 306.363870151013 & 13.4388353654339 \tabularnewline
0.07 & 311.822522145159 & 13.3269368818342 \tabularnewline
0.08 & 316.769668823069 & 13.3337177814022 \tabularnewline
0.09 & 321.33680980099 & 13.1804494734598 \tabularnewline
0.1 & 325.586081405841 & 12.8201310293701 \tabularnewline
0.11 & 329.548561335973 & 12.3944550285836 \tabularnewline
0.12 & 333.257567695595 & 12.0867332476047 \tabularnewline
0.13 & 336.760270682342 & 11.9933083615809 \tabularnewline
0.14 & 340.110407596202 & 12.0841990581354 \tabularnewline
0.15 & 343.354167545635 & 12.2519033815023 \tabularnewline
0.16 & 346.520011489356 & 12.3861233992209 \tabularnewline
0.17 & 349.616867357634 & 12.418133603646 \tabularnewline
0.18 & 352.63930899454 & 12.3327176289745 \tabularnewline
0.19 & 355.575627834684 & 12.1526440624882 \tabularnewline
0.2 & 358.415008618887 & 11.9165230759424 \tabularnewline
0.21 & 361.151850498385 & 11.6628379440503 \tabularnewline
0.22 & 363.787147338135 & 11.4213294218867 \tabularnewline
0.23 & 366.327931116797 & 11.2108205069810 \tabularnewline
0.24 & 368.78597395776 & 11.0461811290119 \tabularnewline
0.25 & 371.176550994871 & 10.9426993795549 \tabularnewline
0.26 & 373.517506016414 & 10.9159536877342 \tabularnewline
0.27 & 375.828442675634 & 10.9819100565387 \tabularnewline
0.28 & 378.129712274242 & 11.1496800319303 \tabularnewline
0.29 & 380.440959316289 & 11.4168562361719 \tabularnewline
0.3 & 382.779212512943 & 11.7671173128428 \tabularnewline
0.31 & 385.156752400408 & 12.166441013708 \tabularnewline
0.32 & 387.579155702253 & 12.5693324819148 \tabularnewline
0.33 & 390.043963101353 & 12.9234831617025 \tabularnewline
0.34 & 392.540335827131 & 13.1794754960976 \tabularnewline
0.35 & 395.049885526826 & 13.2950864899063 \tabularnewline
0.36 & 397.548630694849 & 13.2448157522070 \tabularnewline
0.37 & 400.009808832587 & 13.0212286579812 \tabularnewline
0.38 & 402.407108322778 & 12.6384420524649 \tabularnewline
0.39 & 404.717812396761 & 12.1269297551901 \tabularnewline
0.4 & 406.925379908305 & 11.5315734793089 \tabularnewline
0.41 & 409.021109282187 & 10.9035934245690 \tabularnewline
0.42 & 411.004709333649 & 10.2955231972032 \tabularnewline
0.43 & 412.88379147577 & 9.75391152055227 \tabularnewline
0.44 & 414.672462904097 & 9.31446046045368 \tabularnewline
0.45 & 416.389312286560 & 8.99829847039672 \tabularnewline
0.46 & 418.055126914845 & 8.81045838059209 \tabularnewline
0.47 & 419.690666958171 & 8.74198277765538 \tabularnewline
0.48 & 421.314762863316 & 8.77239554902178 \tabularnewline
0.49 & 422.942915415618 & 8.87450943572855 \tabularnewline
0.5 & 424.586483607252 & 9.01909311643985 \tabularnewline
0.51 & 426.252458733988 & 9.17993461879918 \tabularnewline
0.52 & 427.943754493075 & 9.3337502861595 \tabularnewline
0.53 & 429.659897588635 & 9.46406409690042 \tabularnewline
0.54 & 431.397982232368 & 9.5617970867099 \tabularnewline
0.55 & 433.15375201023 & 9.62259262077224 \tabularnewline
0.56 & 434.922688239373 & 9.64936650301575 \tabularnewline
0.57 & 436.701008235203 & 9.64991834276901 \tabularnewline
0.58 & 438.486503394644 & 9.63519660753397 \tabularnewline
0.59 & 440.279171547581 & 9.61967295165284 \tabularnewline
0.6 & 442.081620044183 & 9.61824678434462 \tabularnewline
0.61 & 443.899238319723 & 9.64716728465035 \tabularnewline
0.62 & 445.740165409374 & 9.72155789017507 \tabularnewline
0.63 & 447.61511122672 & 9.85444568235093 \tabularnewline
0.64 & 449.537126720378 & 10.0548180478132 \tabularnewline
0.65 & 451.521445588776 & 10.3300760232531 \tabularnewline
0.66 & 453.585520472156 & 10.6863681830114 \tabularnewline
0.67 & 455.749329562926 & 11.1302765565883 \tabularnewline
0.68 & 458.035923706714 & 11.6741200589988 \tabularnewline
0.69 & 460.472026673687 & 12.3335417905524 \tabularnewline
0.7 & 463.088326452885 & 13.1301275987864 \tabularnewline
0.71 & 465.918963375393 & 14.0850363262483 \tabularnewline
0.72 & 468.999705268069 & 15.2070303872698 \tabularnewline
0.73 & 472.364463049512 & 16.4851704003804 \tabularnewline
0.74 & 476.040162189896 & 17.874401683206 \tabularnewline
0.75 & 480.040497893324 & 19.2934703775577 \tabularnewline
0.76 & 484.35964149379 & 20.6286031770244 \tabularnewline
0.77 & 488.967358605198 & 21.7446554338522 \tabularnewline
0.78 & 493.80707786994 & 22.5078888999948 \tabularnewline
0.79 & 498.79812366637 & 22.8070493234469 \tabularnewline
0.8 & 503.842648515835 & 22.5778135753169 \tabularnewline
0.81 & 508.836978094323 & 21.8177855888698 \tabularnewline
0.82 & 513.686417600706 & 20.5945619276216 \tabularnewline
0.83 & 518.322330457504 & 19.043418273422 \tabularnewline
0.84 & 522.720541725288 & 17.3602021271283 \tabularnewline
0.85 & 526.920514507464 & 15.7990893900283 \tabularnewline
0.86 & 531.04454655948 & 14.6781006908665 \tabularnewline
0.87 & 535.314466981647 & 14.3931279188882 \tabularnewline
0.88 & 540.059440901181 & 15.3741153860895 \tabularnewline
0.89 & 545.703583888141 & 17.9258155883375 \tabularnewline
0.9 & 552.72016387273 & 22.0286613018279 \tabularnewline
0.91 & 561.547330486941 & 27.2305765263793 \tabularnewline
0.92 & 572.485319239338 & 32.6430204737806 \tabularnewline
0.93 & 585.634622645079 & 37.1109218065920 \tabularnewline
0.94 & 600.965820141923 & 39.6989081949926 \tabularnewline
0.95 & 618.584416711927 & 40.4429106876211 \tabularnewline
0.96 & 639.093573346927 & 40.8882758679425 \tabularnewline
0.97 & 663.590422601909 & 43.4145604844406 \tabularnewline
0.98 & 692.366161009618 & 49.266065426267 \tabularnewline
0.99 & 721.756219785401 & 57.4194519679637 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39184&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]268.078320856196[/C][C]14.1016459223447[/C][/ROW]
[ROW][C]0.02[/C][C]276.152226798086[/C][C]14.967864190247[/C][/ROW]
[ROW][C]0.03[/C][C]284.919366785812[/C][C]15.3495839780707[/C][/ROW]
[ROW][C]0.04[/C][C]293.061497063464[/C][C]14.8179233747644[/C][/ROW]
[ROW][C]0.05[/C][C]300.184962472912[/C][C]13.9687977433531[/C][/ROW]
[ROW][C]0.06[/C][C]306.363870151013[/C][C]13.4388353654339[/C][/ROW]
[ROW][C]0.07[/C][C]311.822522145159[/C][C]13.3269368818342[/C][/ROW]
[ROW][C]0.08[/C][C]316.769668823069[/C][C]13.3337177814022[/C][/ROW]
[ROW][C]0.09[/C][C]321.33680980099[/C][C]13.1804494734598[/C][/ROW]
[ROW][C]0.1[/C][C]325.586081405841[/C][C]12.8201310293701[/C][/ROW]
[ROW][C]0.11[/C][C]329.548561335973[/C][C]12.3944550285836[/C][/ROW]
[ROW][C]0.12[/C][C]333.257567695595[/C][C]12.0867332476047[/C][/ROW]
[ROW][C]0.13[/C][C]336.760270682342[/C][C]11.9933083615809[/C][/ROW]
[ROW][C]0.14[/C][C]340.110407596202[/C][C]12.0841990581354[/C][/ROW]
[ROW][C]0.15[/C][C]343.354167545635[/C][C]12.2519033815023[/C][/ROW]
[ROW][C]0.16[/C][C]346.520011489356[/C][C]12.3861233992209[/C][/ROW]
[ROW][C]0.17[/C][C]349.616867357634[/C][C]12.418133603646[/C][/ROW]
[ROW][C]0.18[/C][C]352.63930899454[/C][C]12.3327176289745[/C][/ROW]
[ROW][C]0.19[/C][C]355.575627834684[/C][C]12.1526440624882[/C][/ROW]
[ROW][C]0.2[/C][C]358.415008618887[/C][C]11.9165230759424[/C][/ROW]
[ROW][C]0.21[/C][C]361.151850498385[/C][C]11.6628379440503[/C][/ROW]
[ROW][C]0.22[/C][C]363.787147338135[/C][C]11.4213294218867[/C][/ROW]
[ROW][C]0.23[/C][C]366.327931116797[/C][C]11.2108205069810[/C][/ROW]
[ROW][C]0.24[/C][C]368.78597395776[/C][C]11.0461811290119[/C][/ROW]
[ROW][C]0.25[/C][C]371.176550994871[/C][C]10.9426993795549[/C][/ROW]
[ROW][C]0.26[/C][C]373.517506016414[/C][C]10.9159536877342[/C][/ROW]
[ROW][C]0.27[/C][C]375.828442675634[/C][C]10.9819100565387[/C][/ROW]
[ROW][C]0.28[/C][C]378.129712274242[/C][C]11.1496800319303[/C][/ROW]
[ROW][C]0.29[/C][C]380.440959316289[/C][C]11.4168562361719[/C][/ROW]
[ROW][C]0.3[/C][C]382.779212512943[/C][C]11.7671173128428[/C][/ROW]
[ROW][C]0.31[/C][C]385.156752400408[/C][C]12.166441013708[/C][/ROW]
[ROW][C]0.32[/C][C]387.579155702253[/C][C]12.5693324819148[/C][/ROW]
[ROW][C]0.33[/C][C]390.043963101353[/C][C]12.9234831617025[/C][/ROW]
[ROW][C]0.34[/C][C]392.540335827131[/C][C]13.1794754960976[/C][/ROW]
[ROW][C]0.35[/C][C]395.049885526826[/C][C]13.2950864899063[/C][/ROW]
[ROW][C]0.36[/C][C]397.548630694849[/C][C]13.2448157522070[/C][/ROW]
[ROW][C]0.37[/C][C]400.009808832587[/C][C]13.0212286579812[/C][/ROW]
[ROW][C]0.38[/C][C]402.407108322778[/C][C]12.6384420524649[/C][/ROW]
[ROW][C]0.39[/C][C]404.717812396761[/C][C]12.1269297551901[/C][/ROW]
[ROW][C]0.4[/C][C]406.925379908305[/C][C]11.5315734793089[/C][/ROW]
[ROW][C]0.41[/C][C]409.021109282187[/C][C]10.9035934245690[/C][/ROW]
[ROW][C]0.42[/C][C]411.004709333649[/C][C]10.2955231972032[/C][/ROW]
[ROW][C]0.43[/C][C]412.88379147577[/C][C]9.75391152055227[/C][/ROW]
[ROW][C]0.44[/C][C]414.672462904097[/C][C]9.31446046045368[/C][/ROW]
[ROW][C]0.45[/C][C]416.389312286560[/C][C]8.99829847039672[/C][/ROW]
[ROW][C]0.46[/C][C]418.055126914845[/C][C]8.81045838059209[/C][/ROW]
[ROW][C]0.47[/C][C]419.690666958171[/C][C]8.74198277765538[/C][/ROW]
[ROW][C]0.48[/C][C]421.314762863316[/C][C]8.77239554902178[/C][/ROW]
[ROW][C]0.49[/C][C]422.942915415618[/C][C]8.87450943572855[/C][/ROW]
[ROW][C]0.5[/C][C]424.586483607252[/C][C]9.01909311643985[/C][/ROW]
[ROW][C]0.51[/C][C]426.252458733988[/C][C]9.17993461879918[/C][/ROW]
[ROW][C]0.52[/C][C]427.943754493075[/C][C]9.3337502861595[/C][/ROW]
[ROW][C]0.53[/C][C]429.659897588635[/C][C]9.46406409690042[/C][/ROW]
[ROW][C]0.54[/C][C]431.397982232368[/C][C]9.5617970867099[/C][/ROW]
[ROW][C]0.55[/C][C]433.15375201023[/C][C]9.62259262077224[/C][/ROW]
[ROW][C]0.56[/C][C]434.922688239373[/C][C]9.64936650301575[/C][/ROW]
[ROW][C]0.57[/C][C]436.701008235203[/C][C]9.64991834276901[/C][/ROW]
[ROW][C]0.58[/C][C]438.486503394644[/C][C]9.63519660753397[/C][/ROW]
[ROW][C]0.59[/C][C]440.279171547581[/C][C]9.61967295165284[/C][/ROW]
[ROW][C]0.6[/C][C]442.081620044183[/C][C]9.61824678434462[/C][/ROW]
[ROW][C]0.61[/C][C]443.899238319723[/C][C]9.64716728465035[/C][/ROW]
[ROW][C]0.62[/C][C]445.740165409374[/C][C]9.72155789017507[/C][/ROW]
[ROW][C]0.63[/C][C]447.61511122672[/C][C]9.85444568235093[/C][/ROW]
[ROW][C]0.64[/C][C]449.537126720378[/C][C]10.0548180478132[/C][/ROW]
[ROW][C]0.65[/C][C]451.521445588776[/C][C]10.3300760232531[/C][/ROW]
[ROW][C]0.66[/C][C]453.585520472156[/C][C]10.6863681830114[/C][/ROW]
[ROW][C]0.67[/C][C]455.749329562926[/C][C]11.1302765565883[/C][/ROW]
[ROW][C]0.68[/C][C]458.035923706714[/C][C]11.6741200589988[/C][/ROW]
[ROW][C]0.69[/C][C]460.472026673687[/C][C]12.3335417905524[/C][/ROW]
[ROW][C]0.7[/C][C]463.088326452885[/C][C]13.1301275987864[/C][/ROW]
[ROW][C]0.71[/C][C]465.918963375393[/C][C]14.0850363262483[/C][/ROW]
[ROW][C]0.72[/C][C]468.999705268069[/C][C]15.2070303872698[/C][/ROW]
[ROW][C]0.73[/C][C]472.364463049512[/C][C]16.4851704003804[/C][/ROW]
[ROW][C]0.74[/C][C]476.040162189896[/C][C]17.874401683206[/C][/ROW]
[ROW][C]0.75[/C][C]480.040497893324[/C][C]19.2934703775577[/C][/ROW]
[ROW][C]0.76[/C][C]484.35964149379[/C][C]20.6286031770244[/C][/ROW]
[ROW][C]0.77[/C][C]488.967358605198[/C][C]21.7446554338522[/C][/ROW]
[ROW][C]0.78[/C][C]493.80707786994[/C][C]22.5078888999948[/C][/ROW]
[ROW][C]0.79[/C][C]498.79812366637[/C][C]22.8070493234469[/C][/ROW]
[ROW][C]0.8[/C][C]503.842648515835[/C][C]22.5778135753169[/C][/ROW]
[ROW][C]0.81[/C][C]508.836978094323[/C][C]21.8177855888698[/C][/ROW]
[ROW][C]0.82[/C][C]513.686417600706[/C][C]20.5945619276216[/C][/ROW]
[ROW][C]0.83[/C][C]518.322330457504[/C][C]19.043418273422[/C][/ROW]
[ROW][C]0.84[/C][C]522.720541725288[/C][C]17.3602021271283[/C][/ROW]
[ROW][C]0.85[/C][C]526.920514507464[/C][C]15.7990893900283[/C][/ROW]
[ROW][C]0.86[/C][C]531.04454655948[/C][C]14.6781006908665[/C][/ROW]
[ROW][C]0.87[/C][C]535.314466981647[/C][C]14.3931279188882[/C][/ROW]
[ROW][C]0.88[/C][C]540.059440901181[/C][C]15.3741153860895[/C][/ROW]
[ROW][C]0.89[/C][C]545.703583888141[/C][C]17.9258155883375[/C][/ROW]
[ROW][C]0.9[/C][C]552.72016387273[/C][C]22.0286613018279[/C][/ROW]
[ROW][C]0.91[/C][C]561.547330486941[/C][C]27.2305765263793[/C][/ROW]
[ROW][C]0.92[/C][C]572.485319239338[/C][C]32.6430204737806[/C][/ROW]
[ROW][C]0.93[/C][C]585.634622645079[/C][C]37.1109218065920[/C][/ROW]
[ROW][C]0.94[/C][C]600.965820141923[/C][C]39.6989081949926[/C][/ROW]
[ROW][C]0.95[/C][C]618.584416711927[/C][C]40.4429106876211[/C][/ROW]
[ROW][C]0.96[/C][C]639.093573346927[/C][C]40.8882758679425[/C][/ROW]
[ROW][C]0.97[/C][C]663.590422601909[/C][C]43.4145604844406[/C][/ROW]
[ROW][C]0.98[/C][C]692.366161009618[/C][C]49.266065426267[/C][/ROW]
[ROW][C]0.99[/C][C]721.756219785401[/C][C]57.4194519679637[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39184&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39184&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
0.01268.07832085619614.1016459223447
0.02276.15222679808614.967864190247
0.03284.91936678581215.3495839780707
0.04293.06149706346414.8179233747644
0.05300.18496247291213.9687977433531
0.06306.36387015101313.4388353654339
0.07311.82252214515913.3269368818342
0.08316.76966882306913.3337177814022
0.09321.3368098009913.1804494734598
0.1325.58608140584112.8201310293701
0.11329.54856133597312.3944550285836
0.12333.25756769559512.0867332476047
0.13336.76027068234211.9933083615809
0.14340.11040759620212.0841990581354
0.15343.35416754563512.2519033815023
0.16346.52001148935612.3861233992209
0.17349.61686735763412.418133603646
0.18352.6393089945412.3327176289745
0.19355.57562783468412.1526440624882
0.2358.41500861888711.9165230759424
0.21361.15185049838511.6628379440503
0.22363.78714733813511.4213294218867
0.23366.32793111679711.2108205069810
0.24368.7859739577611.0461811290119
0.25371.17655099487110.9426993795549
0.26373.51750601641410.9159536877342
0.27375.82844267563410.9819100565387
0.28378.12971227424211.1496800319303
0.29380.44095931628911.4168562361719
0.3382.77921251294311.7671173128428
0.31385.15675240040812.166441013708
0.32387.57915570225312.5693324819148
0.33390.04396310135312.9234831617025
0.34392.54033582713113.1794754960976
0.35395.04988552682613.2950864899063
0.36397.54863069484913.2448157522070
0.37400.00980883258713.0212286579812
0.38402.40710832277812.6384420524649
0.39404.71781239676112.1269297551901
0.4406.92537990830511.5315734793089
0.41409.02110928218710.9035934245690
0.42411.00470933364910.2955231972032
0.43412.883791475779.75391152055227
0.44414.6724629040979.31446046045368
0.45416.3893122865608.99829847039672
0.46418.0551269148458.81045838059209
0.47419.6906669581718.74198277765538
0.48421.3147628633168.77239554902178
0.49422.9429154156188.87450943572855
0.5424.5864836072529.01909311643985
0.51426.2524587339889.17993461879918
0.52427.9437544930759.3337502861595
0.53429.6598975886359.46406409690042
0.54431.3979822323689.5617970867099
0.55433.153752010239.62259262077224
0.56434.9226882393739.64936650301575
0.57436.7010082352039.64991834276901
0.58438.4865033946449.63519660753397
0.59440.2791715475819.61967295165284
0.6442.0816200441839.61824678434462
0.61443.8992383197239.64716728465035
0.62445.7401654093749.72155789017507
0.63447.615111226729.85444568235093
0.64449.53712672037810.0548180478132
0.65451.52144558877610.3300760232531
0.66453.58552047215610.6863681830114
0.67455.74932956292611.1302765565883
0.68458.03592370671411.6741200589988
0.69460.47202667368712.3335417905524
0.7463.08832645288513.1301275987864
0.71465.91896337539314.0850363262483
0.72468.99970526806915.2070303872698
0.73472.36446304951216.4851704003804
0.74476.04016218989617.874401683206
0.75480.04049789332419.2934703775577
0.76484.3596414937920.6286031770244
0.77488.96735860519821.7446554338522
0.78493.8070778699422.5078888999948
0.79498.7981236663722.8070493234469
0.8503.84264851583522.5778135753169
0.81508.83697809432321.8177855888698
0.82513.68641760070620.5945619276216
0.83518.32233045750419.043418273422
0.84522.72054172528817.3602021271283
0.85526.92051450746415.7990893900283
0.86531.0445465594814.6781006908665
0.87535.31446698164714.3931279188882
0.88540.05944090118115.3741153860895
0.89545.70358388814117.9258155883375
0.9552.7201638727322.0286613018279
0.91561.54733048694127.2305765263793
0.92572.48531923933832.6430204737806
0.93585.63462264507937.1109218065920
0.94600.96582014192339.6989081949926
0.95618.58441671192740.4429106876211
0.96639.09357334692740.8882758679425
0.97663.59042260190943.4145604844406
0.98692.36616100961849.266065426267
0.99721.75621978540157.4194519679637


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')