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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 computationTue, 12 Oct 2010 12:55:14 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/12/t1286888078d2q7uqa6lz9mda8.htm/, Retrieved Tue, 30 Apr 2024 18:42:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82907, Retrieved Tue, 30 Apr 2024 18:42:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact105

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] [Het aantal werklo...] [2010-10-12 12:55:14] [6b57770a9d87785617c80b642e34c9c4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
591000
589000
584000
573000
567000
569000
621000
629000
628000
612000
595000
597000
593000
590000
580000
574000
573000
573000
620000
626000
620000
588000
566000
557000
561000
549000
532000
526000
511000
499000
555000
565000
542000
527000
510000
514000
517000
508000
493000
490000
469000
478000
528000
534000
518000
506000
502000
516000
528000
533000
536000
537000
524000
536000
587000
597000
581000
564000
558000
575000

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82907&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]1 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=82907&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82907&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01471587.4030275359109.9595434062
0.02475713.2426862729520.362947703
0.03480396.4660432449627.68468274668
0.04484924.6931394419249.91169272742
0.05488973.4240479328609.98489756693
0.06492479.6274731617976.04033320942
0.07495500.354363687457.62724063153
0.08498124.8843664037036.83355159907
0.09500435.1279265426667.33228244878
0.1502494.7713240776326.32256334064
0.11504351.5285923166017.36355316497
0.12506042.93303635757.39916881253
0.13507601.0681841745563.31689560233
0.14509054.9638690835445.73542561965
0.15510431.0747219215405.76488648133
0.16511752.7397449865434.75054722679
0.17513039.3791736715518.75307533322
0.18514305.8721347835638.30574231727
0.19515562.300438845774.0360738118
0.2516814.0938930315905.16219698822
0.21518062.5447551036015.54720440139
0.22519305.630840286090.553707677
0.23520539.0682446736121.92286312292
0.24521757.4947679696109.46635556752
0.25522955.6677810636058.12353190868
0.26524129.5552897825979.67087365244
0.27525277.2134266325890.91427697129
0.28526399.3769738965810.57750470452
0.29527499.7333391065758.08656312934
0.3528584.8922739415752.09282533323
0.31529664.0927188855807.9188550392
0.32530748.6995758335937.06652898008
0.33531851.5394386336147.88411754840
0.34532986.1134191666443.14181643975
0.35534165.7169659586818.15304827619
0.36535402.4982378787264.40935665874
0.37536706.5000255837764.7909662047
0.38538084.7512709688297.64383247595
0.39539540.4944656048833.58025008943
0.4541072.6450003719345.02085487305
0.41542675.5705632979800.10066153975
0.42544339.25046898610171.4503209327
0.43546049.82967827510437.494139464
0.44547790.52850115410582.6689873778
0.45549542.8175153110601.4246524975
0.46551287.72878376810494.8744437004
0.47553007.15679932510275.1488692995
0.48554685.0088314089958.5449255132
0.49556308.0925081279568.3192605814
0.5557866.6722687759128.91830053768
0.51559354.676964048663.22089261829
0.52560769.5890787188195.14991502274
0.53562112.0839012957742.1743899875
0.54563385.5092227017318.87939152281
0.55564595.3007907296936.19242395917
0.56565748.4168927056599.96577560407
0.57566852.8508017276312.88598337683
0.58567917.2479247026077.29200103207
0.59568950.6217634515893.17277023842
0.6569962.1356283655760.64476389878
0.61570960.9007985395680.0096448589
0.62571955.739930195649.63190465529
0.63572954.8777046605666.07945775009
0.64573965.5466212975723.79657489665
0.65574993.5292159855813.48061560857
0.66576042.6914986765920.93122591231
0.67577114.5881080926030.09866509731
0.68578208.2307840446123.68858823489
0.69579320.1043163526185.6985909726
0.7580444.4882501866202.57662509595
0.71581574.1028013146164.75895073799
0.72582701.0518242626070.48882895348
0.73583817.9943631015924.1136779182
0.74584919.4486789125738.19530570803
0.75586003.1242427545531.0826005861
0.76587071.1866946425327.76532623544
0.77588131.3780340395157.97745371137
0.78589197.9208087865055.43853317574
0.79590292.1086206925055.50251276308
0.8591442.4101415985192.29106455588
0.81592683.7957380995496.31961086939
0.82594055.877398745985.7541795431
0.83595599.4205402636658.56769213071
0.84597350.9566893867483.96752539366
0.85599335.698513038395.25730168125
0.86601559.7384221019288.52468667662
0.87604003.4251615410032.9100654726
0.88606618.46661024310489.5948202738
0.89609331.16275115510546.7829293767
0.9612052.77967987610152.6546784953
0.91614695.4359738239342.75470803218
0.92617188.78045918241.98483018702
0.93619490.8041186077034.32122208638
0.94621587.1721748255894.72350216165
0.95623478.225489544905.83733501134
0.96625159.4973625244016.67688776524
0.97626605.8378737663115.00581731834
0.98627767.3444688172177.19700881055
0.99628580.4485057921376.31271268207

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 471587.403027535 & 9109.9595434062 \tabularnewline
0.02 & 475713.242686272 & 9520.362947703 \tabularnewline
0.03 & 480396.466043244 & 9627.68468274668 \tabularnewline
0.04 & 484924.693139441 & 9249.91169272742 \tabularnewline
0.05 & 488973.424047932 & 8609.98489756693 \tabularnewline
0.06 & 492479.627473161 & 7976.04033320942 \tabularnewline
0.07 & 495500.35436368 & 7457.62724063153 \tabularnewline
0.08 & 498124.884366403 & 7036.83355159907 \tabularnewline
0.09 & 500435.127926542 & 6667.33228244878 \tabularnewline
0.1 & 502494.771324077 & 6326.32256334064 \tabularnewline
0.11 & 504351.528592316 & 6017.36355316497 \tabularnewline
0.12 & 506042.9330363 & 5757.39916881253 \tabularnewline
0.13 & 507601.068184174 & 5563.31689560233 \tabularnewline
0.14 & 509054.963869083 & 5445.73542561965 \tabularnewline
0.15 & 510431.074721921 & 5405.76488648133 \tabularnewline
0.16 & 511752.739744986 & 5434.75054722679 \tabularnewline
0.17 & 513039.379173671 & 5518.75307533322 \tabularnewline
0.18 & 514305.872134783 & 5638.30574231727 \tabularnewline
0.19 & 515562.30043884 & 5774.0360738118 \tabularnewline
0.2 & 516814.093893031 & 5905.16219698822 \tabularnewline
0.21 & 518062.544755103 & 6015.54720440139 \tabularnewline
0.22 & 519305.63084028 & 6090.553707677 \tabularnewline
0.23 & 520539.068244673 & 6121.92286312292 \tabularnewline
0.24 & 521757.494767969 & 6109.46635556752 \tabularnewline
0.25 & 522955.667781063 & 6058.12353190868 \tabularnewline
0.26 & 524129.555289782 & 5979.67087365244 \tabularnewline
0.27 & 525277.213426632 & 5890.91427697129 \tabularnewline
0.28 & 526399.376973896 & 5810.57750470452 \tabularnewline
0.29 & 527499.733339106 & 5758.08656312934 \tabularnewline
0.3 & 528584.892273941 & 5752.09282533323 \tabularnewline
0.31 & 529664.092718885 & 5807.9188550392 \tabularnewline
0.32 & 530748.699575833 & 5937.06652898008 \tabularnewline
0.33 & 531851.539438633 & 6147.88411754840 \tabularnewline
0.34 & 532986.113419166 & 6443.14181643975 \tabularnewline
0.35 & 534165.716965958 & 6818.15304827619 \tabularnewline
0.36 & 535402.498237878 & 7264.40935665874 \tabularnewline
0.37 & 536706.500025583 & 7764.7909662047 \tabularnewline
0.38 & 538084.751270968 & 8297.64383247595 \tabularnewline
0.39 & 539540.494465604 & 8833.58025008943 \tabularnewline
0.4 & 541072.645000371 & 9345.02085487305 \tabularnewline
0.41 & 542675.570563297 & 9800.10066153975 \tabularnewline
0.42 & 544339.250468986 & 10171.4503209327 \tabularnewline
0.43 & 546049.829678275 & 10437.494139464 \tabularnewline
0.44 & 547790.528501154 & 10582.6689873778 \tabularnewline
0.45 & 549542.81751531 & 10601.4246524975 \tabularnewline
0.46 & 551287.728783768 & 10494.8744437004 \tabularnewline
0.47 & 553007.156799325 & 10275.1488692995 \tabularnewline
0.48 & 554685.008831408 & 9958.5449255132 \tabularnewline
0.49 & 556308.092508127 & 9568.3192605814 \tabularnewline
0.5 & 557866.672268775 & 9128.91830053768 \tabularnewline
0.51 & 559354.67696404 & 8663.22089261829 \tabularnewline
0.52 & 560769.589078718 & 8195.14991502274 \tabularnewline
0.53 & 562112.083901295 & 7742.1743899875 \tabularnewline
0.54 & 563385.509222701 & 7318.87939152281 \tabularnewline
0.55 & 564595.300790729 & 6936.19242395917 \tabularnewline
0.56 & 565748.416892705 & 6599.96577560407 \tabularnewline
0.57 & 566852.850801727 & 6312.88598337683 \tabularnewline
0.58 & 567917.247924702 & 6077.29200103207 \tabularnewline
0.59 & 568950.621763451 & 5893.17277023842 \tabularnewline
0.6 & 569962.135628365 & 5760.64476389878 \tabularnewline
0.61 & 570960.900798539 & 5680.0096448589 \tabularnewline
0.62 & 571955.73993019 & 5649.63190465529 \tabularnewline
0.63 & 572954.877704660 & 5666.07945775009 \tabularnewline
0.64 & 573965.546621297 & 5723.79657489665 \tabularnewline
0.65 & 574993.529215985 & 5813.48061560857 \tabularnewline
0.66 & 576042.691498676 & 5920.93122591231 \tabularnewline
0.67 & 577114.588108092 & 6030.09866509731 \tabularnewline
0.68 & 578208.230784044 & 6123.68858823489 \tabularnewline
0.69 & 579320.104316352 & 6185.6985909726 \tabularnewline
0.7 & 580444.488250186 & 6202.57662509595 \tabularnewline
0.71 & 581574.102801314 & 6164.75895073799 \tabularnewline
0.72 & 582701.051824262 & 6070.48882895348 \tabularnewline
0.73 & 583817.994363101 & 5924.1136779182 \tabularnewline
0.74 & 584919.448678912 & 5738.19530570803 \tabularnewline
0.75 & 586003.124242754 & 5531.0826005861 \tabularnewline
0.76 & 587071.186694642 & 5327.76532623544 \tabularnewline
0.77 & 588131.378034039 & 5157.97745371137 \tabularnewline
0.78 & 589197.920808786 & 5055.43853317574 \tabularnewline
0.79 & 590292.108620692 & 5055.50251276308 \tabularnewline
0.8 & 591442.410141598 & 5192.29106455588 \tabularnewline
0.81 & 592683.795738099 & 5496.31961086939 \tabularnewline
0.82 & 594055.87739874 & 5985.7541795431 \tabularnewline
0.83 & 595599.420540263 & 6658.56769213071 \tabularnewline
0.84 & 597350.956689386 & 7483.96752539366 \tabularnewline
0.85 & 599335.69851303 & 8395.25730168125 \tabularnewline
0.86 & 601559.738422101 & 9288.52468667662 \tabularnewline
0.87 & 604003.42516154 & 10032.9100654726 \tabularnewline
0.88 & 606618.466610243 & 10489.5948202738 \tabularnewline
0.89 & 609331.162751155 & 10546.7829293767 \tabularnewline
0.9 & 612052.779679876 & 10152.6546784953 \tabularnewline
0.91 & 614695.435973823 & 9342.75470803218 \tabularnewline
0.92 & 617188.7804591 & 8241.98483018702 \tabularnewline
0.93 & 619490.804118607 & 7034.32122208638 \tabularnewline
0.94 & 621587.172174825 & 5894.72350216165 \tabularnewline
0.95 & 623478.22548954 & 4905.83733501134 \tabularnewline
0.96 & 625159.497362524 & 4016.67688776524 \tabularnewline
0.97 & 626605.837873766 & 3115.00581731834 \tabularnewline
0.98 & 627767.344468817 & 2177.19700881055 \tabularnewline
0.99 & 628580.448505792 & 1376.31271268207 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82907&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]471587.403027535[/C][C]9109.9595434062[/C][/ROW]
[ROW][C]0.02[/C][C]475713.242686272[/C][C]9520.362947703[/C][/ROW]
[ROW][C]0.03[/C][C]480396.466043244[/C][C]9627.68468274668[/C][/ROW]
[ROW][C]0.04[/C][C]484924.693139441[/C][C]9249.91169272742[/C][/ROW]
[ROW][C]0.05[/C][C]488973.424047932[/C][C]8609.98489756693[/C][/ROW]
[ROW][C]0.06[/C][C]492479.627473161[/C][C]7976.04033320942[/C][/ROW]
[ROW][C]0.07[/C][C]495500.35436368[/C][C]7457.62724063153[/C][/ROW]
[ROW][C]0.08[/C][C]498124.884366403[/C][C]7036.83355159907[/C][/ROW]
[ROW][C]0.09[/C][C]500435.127926542[/C][C]6667.33228244878[/C][/ROW]
[ROW][C]0.1[/C][C]502494.771324077[/C][C]6326.32256334064[/C][/ROW]
[ROW][C]0.11[/C][C]504351.528592316[/C][C]6017.36355316497[/C][/ROW]
[ROW][C]0.12[/C][C]506042.9330363[/C][C]5757.39916881253[/C][/ROW]
[ROW][C]0.13[/C][C]507601.068184174[/C][C]5563.31689560233[/C][/ROW]
[ROW][C]0.14[/C][C]509054.963869083[/C][C]5445.73542561965[/C][/ROW]
[ROW][C]0.15[/C][C]510431.074721921[/C][C]5405.76488648133[/C][/ROW]
[ROW][C]0.16[/C][C]511752.739744986[/C][C]5434.75054722679[/C][/ROW]
[ROW][C]0.17[/C][C]513039.379173671[/C][C]5518.75307533322[/C][/ROW]
[ROW][C]0.18[/C][C]514305.872134783[/C][C]5638.30574231727[/C][/ROW]
[ROW][C]0.19[/C][C]515562.30043884[/C][C]5774.0360738118[/C][/ROW]
[ROW][C]0.2[/C][C]516814.093893031[/C][C]5905.16219698822[/C][/ROW]
[ROW][C]0.21[/C][C]518062.544755103[/C][C]6015.54720440139[/C][/ROW]
[ROW][C]0.22[/C][C]519305.63084028[/C][C]6090.553707677[/C][/ROW]
[ROW][C]0.23[/C][C]520539.068244673[/C][C]6121.92286312292[/C][/ROW]
[ROW][C]0.24[/C][C]521757.494767969[/C][C]6109.46635556752[/C][/ROW]
[ROW][C]0.25[/C][C]522955.667781063[/C][C]6058.12353190868[/C][/ROW]
[ROW][C]0.26[/C][C]524129.555289782[/C][C]5979.67087365244[/C][/ROW]
[ROW][C]0.27[/C][C]525277.213426632[/C][C]5890.91427697129[/C][/ROW]
[ROW][C]0.28[/C][C]526399.376973896[/C][C]5810.57750470452[/C][/ROW]
[ROW][C]0.29[/C][C]527499.733339106[/C][C]5758.08656312934[/C][/ROW]
[ROW][C]0.3[/C][C]528584.892273941[/C][C]5752.09282533323[/C][/ROW]
[ROW][C]0.31[/C][C]529664.092718885[/C][C]5807.9188550392[/C][/ROW]
[ROW][C]0.32[/C][C]530748.699575833[/C][C]5937.06652898008[/C][/ROW]
[ROW][C]0.33[/C][C]531851.539438633[/C][C]6147.88411754840[/C][/ROW]
[ROW][C]0.34[/C][C]532986.113419166[/C][C]6443.14181643975[/C][/ROW]
[ROW][C]0.35[/C][C]534165.716965958[/C][C]6818.15304827619[/C][/ROW]
[ROW][C]0.36[/C][C]535402.498237878[/C][C]7264.40935665874[/C][/ROW]
[ROW][C]0.37[/C][C]536706.500025583[/C][C]7764.7909662047[/C][/ROW]
[ROW][C]0.38[/C][C]538084.751270968[/C][C]8297.64383247595[/C][/ROW]
[ROW][C]0.39[/C][C]539540.494465604[/C][C]8833.58025008943[/C][/ROW]
[ROW][C]0.4[/C][C]541072.645000371[/C][C]9345.02085487305[/C][/ROW]
[ROW][C]0.41[/C][C]542675.570563297[/C][C]9800.10066153975[/C][/ROW]
[ROW][C]0.42[/C][C]544339.250468986[/C][C]10171.4503209327[/C][/ROW]
[ROW][C]0.43[/C][C]546049.829678275[/C][C]10437.494139464[/C][/ROW]
[ROW][C]0.44[/C][C]547790.528501154[/C][C]10582.6689873778[/C][/ROW]
[ROW][C]0.45[/C][C]549542.81751531[/C][C]10601.4246524975[/C][/ROW]
[ROW][C]0.46[/C][C]551287.728783768[/C][C]10494.8744437004[/C][/ROW]
[ROW][C]0.47[/C][C]553007.156799325[/C][C]10275.1488692995[/C][/ROW]
[ROW][C]0.48[/C][C]554685.008831408[/C][C]9958.5449255132[/C][/ROW]
[ROW][C]0.49[/C][C]556308.092508127[/C][C]9568.3192605814[/C][/ROW]
[ROW][C]0.5[/C][C]557866.672268775[/C][C]9128.91830053768[/C][/ROW]
[ROW][C]0.51[/C][C]559354.67696404[/C][C]8663.22089261829[/C][/ROW]
[ROW][C]0.52[/C][C]560769.589078718[/C][C]8195.14991502274[/C][/ROW]
[ROW][C]0.53[/C][C]562112.083901295[/C][C]7742.1743899875[/C][/ROW]
[ROW][C]0.54[/C][C]563385.509222701[/C][C]7318.87939152281[/C][/ROW]
[ROW][C]0.55[/C][C]564595.300790729[/C][C]6936.19242395917[/C][/ROW]
[ROW][C]0.56[/C][C]565748.416892705[/C][C]6599.96577560407[/C][/ROW]
[ROW][C]0.57[/C][C]566852.850801727[/C][C]6312.88598337683[/C][/ROW]
[ROW][C]0.58[/C][C]567917.247924702[/C][C]6077.29200103207[/C][/ROW]
[ROW][C]0.59[/C][C]568950.621763451[/C][C]5893.17277023842[/C][/ROW]
[ROW][C]0.6[/C][C]569962.135628365[/C][C]5760.64476389878[/C][/ROW]
[ROW][C]0.61[/C][C]570960.900798539[/C][C]5680.0096448589[/C][/ROW]
[ROW][C]0.62[/C][C]571955.73993019[/C][C]5649.63190465529[/C][/ROW]
[ROW][C]0.63[/C][C]572954.877704660[/C][C]5666.07945775009[/C][/ROW]
[ROW][C]0.64[/C][C]573965.546621297[/C][C]5723.79657489665[/C][/ROW]
[ROW][C]0.65[/C][C]574993.529215985[/C][C]5813.48061560857[/C][/ROW]
[ROW][C]0.66[/C][C]576042.691498676[/C][C]5920.93122591231[/C][/ROW]
[ROW][C]0.67[/C][C]577114.588108092[/C][C]6030.09866509731[/C][/ROW]
[ROW][C]0.68[/C][C]578208.230784044[/C][C]6123.68858823489[/C][/ROW]
[ROW][C]0.69[/C][C]579320.104316352[/C][C]6185.6985909726[/C][/ROW]
[ROW][C]0.7[/C][C]580444.488250186[/C][C]6202.57662509595[/C][/ROW]
[ROW][C]0.71[/C][C]581574.102801314[/C][C]6164.75895073799[/C][/ROW]
[ROW][C]0.72[/C][C]582701.051824262[/C][C]6070.48882895348[/C][/ROW]
[ROW][C]0.73[/C][C]583817.994363101[/C][C]5924.1136779182[/C][/ROW]
[ROW][C]0.74[/C][C]584919.448678912[/C][C]5738.19530570803[/C][/ROW]
[ROW][C]0.75[/C][C]586003.124242754[/C][C]5531.0826005861[/C][/ROW]
[ROW][C]0.76[/C][C]587071.186694642[/C][C]5327.76532623544[/C][/ROW]
[ROW][C]0.77[/C][C]588131.378034039[/C][C]5157.97745371137[/C][/ROW]
[ROW][C]0.78[/C][C]589197.920808786[/C][C]5055.43853317574[/C][/ROW]
[ROW][C]0.79[/C][C]590292.108620692[/C][C]5055.50251276308[/C][/ROW]
[ROW][C]0.8[/C][C]591442.410141598[/C][C]5192.29106455588[/C][/ROW]
[ROW][C]0.81[/C][C]592683.795738099[/C][C]5496.31961086939[/C][/ROW]
[ROW][C]0.82[/C][C]594055.87739874[/C][C]5985.7541795431[/C][/ROW]
[ROW][C]0.83[/C][C]595599.420540263[/C][C]6658.56769213071[/C][/ROW]
[ROW][C]0.84[/C][C]597350.956689386[/C][C]7483.96752539366[/C][/ROW]
[ROW][C]0.85[/C][C]599335.69851303[/C][C]8395.25730168125[/C][/ROW]
[ROW][C]0.86[/C][C]601559.738422101[/C][C]9288.52468667662[/C][/ROW]
[ROW][C]0.87[/C][C]604003.42516154[/C][C]10032.9100654726[/C][/ROW]
[ROW][C]0.88[/C][C]606618.466610243[/C][C]10489.5948202738[/C][/ROW]
[ROW][C]0.89[/C][C]609331.162751155[/C][C]10546.7829293767[/C][/ROW]
[ROW][C]0.9[/C][C]612052.779679876[/C][C]10152.6546784953[/C][/ROW]
[ROW][C]0.91[/C][C]614695.435973823[/C][C]9342.75470803218[/C][/ROW]
[ROW][C]0.92[/C][C]617188.7804591[/C][C]8241.98483018702[/C][/ROW]
[ROW][C]0.93[/C][C]619490.804118607[/C][C]7034.32122208638[/C][/ROW]
[ROW][C]0.94[/C][C]621587.172174825[/C][C]5894.72350216165[/C][/ROW]
[ROW][C]0.95[/C][C]623478.22548954[/C][C]4905.83733501134[/C][/ROW]
[ROW][C]0.96[/C][C]625159.497362524[/C][C]4016.67688776524[/C][/ROW]
[ROW][C]0.97[/C][C]626605.837873766[/C][C]3115.00581731834[/C][/ROW]
[ROW][C]0.98[/C][C]627767.344468817[/C][C]2177.19700881055[/C][/ROW]
[ROW][C]0.99[/C][C]628580.448505792[/C][C]1376.31271268207[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82907&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82907&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
0.01471587.4030275359109.9595434062
0.02475713.2426862729520.362947703
0.03480396.4660432449627.68468274668
0.04484924.6931394419249.91169272742
0.05488973.4240479328609.98489756693
0.06492479.6274731617976.04033320942
0.07495500.354363687457.62724063153
0.08498124.8843664037036.83355159907
0.09500435.1279265426667.33228244878
0.1502494.7713240776326.32256334064
0.11504351.5285923166017.36355316497
0.12506042.93303635757.39916881253
0.13507601.0681841745563.31689560233
0.14509054.9638690835445.73542561965
0.15510431.0747219215405.76488648133
0.16511752.7397449865434.75054722679
0.17513039.3791736715518.75307533322
0.18514305.8721347835638.30574231727
0.19515562.300438845774.0360738118
0.2516814.0938930315905.16219698822
0.21518062.5447551036015.54720440139
0.22519305.630840286090.553707677
0.23520539.0682446736121.92286312292
0.24521757.4947679696109.46635556752
0.25522955.6677810636058.12353190868
0.26524129.5552897825979.67087365244
0.27525277.2134266325890.91427697129
0.28526399.3769738965810.57750470452
0.29527499.7333391065758.08656312934
0.3528584.8922739415752.09282533323
0.31529664.0927188855807.9188550392
0.32530748.6995758335937.06652898008
0.33531851.5394386336147.88411754840
0.34532986.1134191666443.14181643975
0.35534165.7169659586818.15304827619
0.36535402.4982378787264.40935665874
0.37536706.5000255837764.7909662047
0.38538084.7512709688297.64383247595
0.39539540.4944656048833.58025008943
0.4541072.6450003719345.02085487305
0.41542675.5705632979800.10066153975
0.42544339.25046898610171.4503209327
0.43546049.82967827510437.494139464
0.44547790.52850115410582.6689873778
0.45549542.8175153110601.4246524975
0.46551287.72878376810494.8744437004
0.47553007.15679932510275.1488692995
0.48554685.0088314089958.5449255132
0.49556308.0925081279568.3192605814
0.5557866.6722687759128.91830053768
0.51559354.676964048663.22089261829
0.52560769.5890787188195.14991502274
0.53562112.0839012957742.1743899875
0.54563385.5092227017318.87939152281
0.55564595.3007907296936.19242395917
0.56565748.4168927056599.96577560407
0.57566852.8508017276312.88598337683
0.58567917.2479247026077.29200103207
0.59568950.6217634515893.17277023842
0.6569962.1356283655760.64476389878
0.61570960.9007985395680.0096448589
0.62571955.739930195649.63190465529
0.63572954.8777046605666.07945775009
0.64573965.5466212975723.79657489665
0.65574993.5292159855813.48061560857
0.66576042.6914986765920.93122591231
0.67577114.5881080926030.09866509731
0.68578208.2307840446123.68858823489
0.69579320.1043163526185.6985909726
0.7580444.4882501866202.57662509595
0.71581574.1028013146164.75895073799
0.72582701.0518242626070.48882895348
0.73583817.9943631015924.1136779182
0.74584919.4486789125738.19530570803
0.75586003.1242427545531.0826005861
0.76587071.1866946425327.76532623544
0.77588131.3780340395157.97745371137
0.78589197.9208087865055.43853317574
0.79590292.1086206925055.50251276308
0.8591442.4101415985192.29106455588
0.81592683.7957380995496.31961086939
0.82594055.877398745985.7541795431
0.83595599.4205402636658.56769213071
0.84597350.9566893867483.96752539366
0.85599335.698513038395.25730168125
0.86601559.7384221019288.52468667662
0.87604003.4251615410032.9100654726
0.88606618.46661024310489.5948202738
0.89609331.16275115510546.7829293767
0.9612052.77967987610152.6546784953
0.91614695.4359738239342.75470803218
0.92617188.78045918241.98483018702
0.93619490.8041186077034.32122208638
0.94621587.1721748255894.72350216165
0.95623478.225489544905.83733501134
0.96625159.4973625244016.67688776524
0.97626605.8378737663115.00581731834
0.98627767.3444688172177.19700881055
0.99628580.4485057921376.31271268207


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')