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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 15 Dec 2010 21:06:31 +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/Dec/15/t1292447057w7n4uxyg0we82a5.htm/, Retrieved Sun, 07 Jun 2026 02:21:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110723, Retrieved Sun, 07 Jun 2026 02:21:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact405

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] [] [2010-12-15 16:57:10] [2db311435ed525bc1ed0ddec922afb8f]
-    D    [Harrell-Davis Quantiles] [] [2010-12-15 21:06:31] [6fde1c772c7be11768d9b6a0344566b2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
461
463
462
456
455
456
472
472
471
465
459
465
468
467
463
460
462
461
476
476
471
453
443
442
444
438
427
424
416
406
431
434
418
412
404
409
412
406
398
397
385
390
413
413
401
397
397
409
419
424
428
430
424
433
456
459
446
441
439
454
460

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110723&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110723&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110723&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01386.4390741097494.99688857991378
0.02388.6691383432524.98045700632451
0.03391.0697427397144.61052259496581
0.04393.2181803704243.9189947694511
0.05394.966835262893.21014640864317
0.06396.3551117037632.79383345645570
0.07397.5018640292712.78288173167988
0.08398.5302408545813.05708971605440
0.09399.5300799848433.42999403484192
0.1400.5486110437983.7713935561728
0.11401.5976290558574.01723884761517
0.12402.6669394607914.15014619955388
0.13403.737304629094.18414081302237
0.14404.789692985114.14818001467784
0.15405.81027072264.07470784613649
0.16406.7919970156663.99256995887414
0.17407.7341238186383.92235368013529
0.18408.6407563093453.87868331063223
0.19409.5192443767073.87122658117339
0.2410.3787792870483.90622635972744
0.21411.2292820283733.98626798984136
0.22412.0805240471184.11203276708585
0.23412.9413942102254.27810075990247
0.24413.8192682961844.47494029105602
0.25414.719497701914.68991796764005
0.26415.6450751334014.90777590120465
0.27416.5965401692275.11439861361363
0.28417.5721588273335.29665550753397
0.29418.5683627780315.44631384199015
0.3419.5803838271165.55915390843601
0.31420.6029832770635.63600230382511
0.32421.6311626435215.68255471029149
0.33422.6607531641585.70659998746248
0.34423.6888114510605.71761068545803
0.35424.7137887046995.72486548393282
0.36425.7354816109665.73726717951109
0.37426.7548065383575.76000286254935
0.38427.7734601235055.79596065222669
0.39428.7935372484595.84500035187199
0.4429.8171729336445.90584383493363
0.41430.8462606298275.97452808520967
0.42431.8822792800086.04675953415542
0.43432.9262387710596.11886690446836
0.44433.9787310757996.18865842752176
0.45435.0400552084106.25392401666502
0.46436.1103705211846.31561254077202
0.47437.1898269959426.37501514919404
0.48438.278624571096.43380468554131
0.49439.376966634786.4943891761082
0.5440.4848944052856.55599493643256
0.51441.6020158728366.61684025272273
0.52442.7271703981346.67151954237155
0.53443.8580920718886.71144711431809
0.54444.9911459384016.72585051708576
0.55446.1212073288476.7039180477834
0.56447.2417350041156.63491259953737
0.57448.3450563813286.512166190757
0.58449.4228439774036.33141298353686
0.59450.4667246346006.09354954285583
0.6451.4689355764685.80559910370618
0.61452.4229304108825.47706264568071
0.62453.3238466823155.12154281942262
0.63454.1687727642764.75364346494969
0.64454.9567898601164.38703643110951
0.65455.6888060105324.03352263057713
0.66456.367234150153.70236198409673
0.67456.9955881020323.39820333671765
0.68457.5780752400673.12367644992747
0.69458.1192530084152.87815611999484
0.7458.6237930225922.66035407751464
0.71459.0963678692842.46799623357932
0.72459.5416490575732.30004654321564
0.73459.9643853598972.15669563980309
0.74460.3695217412322.03846218637386
0.75460.7623198995281.94684554105868
0.76461.1484494024121.88408454160981
0.77461.5340294786131.85202088752266
0.78461.9256115318781.85164754775519
0.79462.3300979238111.88301944437590
0.8462.7545913297141.94504863981127
0.81463.20616069472.03541484076784
0.82463.6914971015082.14964235429739
0.83464.2164226913402.28215931509392
0.84464.7852206547482.42478481845029
0.85465.3997913185262.56594490555548
0.86466.0587252011632.69073480612786
0.87466.7565247738132.78122195350654
0.88467.4833834427552.81758058281077
0.89468.2260808254092.78282435952953
0.9468.9705535560062.66916284492577
0.91469.7063514439462.48524096867684
0.92470.4322435866452.26342367352446
0.93471.1605691257432.06507221723401
0.94471.9159555479111.96947489171378
0.95472.7233839281062.0183559108729
0.96473.584268933242.12628318165251
0.97474.4496627178372.07099172266008
0.98475.2134506874541.62554533432328
0.99475.7509422674620.79660327871999

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 386.439074109749 & 4.99688857991378 \tabularnewline
0.02 & 388.669138343252 & 4.98045700632451 \tabularnewline
0.03 & 391.069742739714 & 4.61052259496581 \tabularnewline
0.04 & 393.218180370424 & 3.9189947694511 \tabularnewline
0.05 & 394.96683526289 & 3.21014640864317 \tabularnewline
0.06 & 396.355111703763 & 2.79383345645570 \tabularnewline
0.07 & 397.501864029271 & 2.78288173167988 \tabularnewline
0.08 & 398.530240854581 & 3.05708971605440 \tabularnewline
0.09 & 399.530079984843 & 3.42999403484192 \tabularnewline
0.1 & 400.548611043798 & 3.7713935561728 \tabularnewline
0.11 & 401.597629055857 & 4.01723884761517 \tabularnewline
0.12 & 402.666939460791 & 4.15014619955388 \tabularnewline
0.13 & 403.73730462909 & 4.18414081302237 \tabularnewline
0.14 & 404.78969298511 & 4.14818001467784 \tabularnewline
0.15 & 405.8102707226 & 4.07470784613649 \tabularnewline
0.16 & 406.791997015666 & 3.99256995887414 \tabularnewline
0.17 & 407.734123818638 & 3.92235368013529 \tabularnewline
0.18 & 408.640756309345 & 3.87868331063223 \tabularnewline
0.19 & 409.519244376707 & 3.87122658117339 \tabularnewline
0.2 & 410.378779287048 & 3.90622635972744 \tabularnewline
0.21 & 411.229282028373 & 3.98626798984136 \tabularnewline
0.22 & 412.080524047118 & 4.11203276708585 \tabularnewline
0.23 & 412.941394210225 & 4.27810075990247 \tabularnewline
0.24 & 413.819268296184 & 4.47494029105602 \tabularnewline
0.25 & 414.71949770191 & 4.68991796764005 \tabularnewline
0.26 & 415.645075133401 & 4.90777590120465 \tabularnewline
0.27 & 416.596540169227 & 5.11439861361363 \tabularnewline
0.28 & 417.572158827333 & 5.29665550753397 \tabularnewline
0.29 & 418.568362778031 & 5.44631384199015 \tabularnewline
0.3 & 419.580383827116 & 5.55915390843601 \tabularnewline
0.31 & 420.602983277063 & 5.63600230382511 \tabularnewline
0.32 & 421.631162643521 & 5.68255471029149 \tabularnewline
0.33 & 422.660753164158 & 5.70659998746248 \tabularnewline
0.34 & 423.688811451060 & 5.71761068545803 \tabularnewline
0.35 & 424.713788704699 & 5.72486548393282 \tabularnewline
0.36 & 425.735481610966 & 5.73726717951109 \tabularnewline
0.37 & 426.754806538357 & 5.76000286254935 \tabularnewline
0.38 & 427.773460123505 & 5.79596065222669 \tabularnewline
0.39 & 428.793537248459 & 5.84500035187199 \tabularnewline
0.4 & 429.817172933644 & 5.90584383493363 \tabularnewline
0.41 & 430.846260629827 & 5.97452808520967 \tabularnewline
0.42 & 431.882279280008 & 6.04675953415542 \tabularnewline
0.43 & 432.926238771059 & 6.11886690446836 \tabularnewline
0.44 & 433.978731075799 & 6.18865842752176 \tabularnewline
0.45 & 435.040055208410 & 6.25392401666502 \tabularnewline
0.46 & 436.110370521184 & 6.31561254077202 \tabularnewline
0.47 & 437.189826995942 & 6.37501514919404 \tabularnewline
0.48 & 438.27862457109 & 6.43380468554131 \tabularnewline
0.49 & 439.37696663478 & 6.4943891761082 \tabularnewline
0.5 & 440.484894405285 & 6.55599493643256 \tabularnewline
0.51 & 441.602015872836 & 6.61684025272273 \tabularnewline
0.52 & 442.727170398134 & 6.67151954237155 \tabularnewline
0.53 & 443.858092071888 & 6.71144711431809 \tabularnewline
0.54 & 444.991145938401 & 6.72585051708576 \tabularnewline
0.55 & 446.121207328847 & 6.7039180477834 \tabularnewline
0.56 & 447.241735004115 & 6.63491259953737 \tabularnewline
0.57 & 448.345056381328 & 6.512166190757 \tabularnewline
0.58 & 449.422843977403 & 6.33141298353686 \tabularnewline
0.59 & 450.466724634600 & 6.09354954285583 \tabularnewline
0.6 & 451.468935576468 & 5.80559910370618 \tabularnewline
0.61 & 452.422930410882 & 5.47706264568071 \tabularnewline
0.62 & 453.323846682315 & 5.12154281942262 \tabularnewline
0.63 & 454.168772764276 & 4.75364346494969 \tabularnewline
0.64 & 454.956789860116 & 4.38703643110951 \tabularnewline
0.65 & 455.688806010532 & 4.03352263057713 \tabularnewline
0.66 & 456.36723415015 & 3.70236198409673 \tabularnewline
0.67 & 456.995588102032 & 3.39820333671765 \tabularnewline
0.68 & 457.578075240067 & 3.12367644992747 \tabularnewline
0.69 & 458.119253008415 & 2.87815611999484 \tabularnewline
0.7 & 458.623793022592 & 2.66035407751464 \tabularnewline
0.71 & 459.096367869284 & 2.46799623357932 \tabularnewline
0.72 & 459.541649057573 & 2.30004654321564 \tabularnewline
0.73 & 459.964385359897 & 2.15669563980309 \tabularnewline
0.74 & 460.369521741232 & 2.03846218637386 \tabularnewline
0.75 & 460.762319899528 & 1.94684554105868 \tabularnewline
0.76 & 461.148449402412 & 1.88408454160981 \tabularnewline
0.77 & 461.534029478613 & 1.85202088752266 \tabularnewline
0.78 & 461.925611531878 & 1.85164754775519 \tabularnewline
0.79 & 462.330097923811 & 1.88301944437590 \tabularnewline
0.8 & 462.754591329714 & 1.94504863981127 \tabularnewline
0.81 & 463.2061606947 & 2.03541484076784 \tabularnewline
0.82 & 463.691497101508 & 2.14964235429739 \tabularnewline
0.83 & 464.216422691340 & 2.28215931509392 \tabularnewline
0.84 & 464.785220654748 & 2.42478481845029 \tabularnewline
0.85 & 465.399791318526 & 2.56594490555548 \tabularnewline
0.86 & 466.058725201163 & 2.69073480612786 \tabularnewline
0.87 & 466.756524773813 & 2.78122195350654 \tabularnewline
0.88 & 467.483383442755 & 2.81758058281077 \tabularnewline
0.89 & 468.226080825409 & 2.78282435952953 \tabularnewline
0.9 & 468.970553556006 & 2.66916284492577 \tabularnewline
0.91 & 469.706351443946 & 2.48524096867684 \tabularnewline
0.92 & 470.432243586645 & 2.26342367352446 \tabularnewline
0.93 & 471.160569125743 & 2.06507221723401 \tabularnewline
0.94 & 471.915955547911 & 1.96947489171378 \tabularnewline
0.95 & 472.723383928106 & 2.0183559108729 \tabularnewline
0.96 & 473.58426893324 & 2.12628318165251 \tabularnewline
0.97 & 474.449662717837 & 2.07099172266008 \tabularnewline
0.98 & 475.213450687454 & 1.62554533432328 \tabularnewline
0.99 & 475.750942267462 & 0.79660327871999 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110723&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]386.439074109749[/C][C]4.99688857991378[/C][/ROW]
[ROW][C]0.02[/C][C]388.669138343252[/C][C]4.98045700632451[/C][/ROW]
[ROW][C]0.03[/C][C]391.069742739714[/C][C]4.61052259496581[/C][/ROW]
[ROW][C]0.04[/C][C]393.218180370424[/C][C]3.9189947694511[/C][/ROW]
[ROW][C]0.05[/C][C]394.96683526289[/C][C]3.21014640864317[/C][/ROW]
[ROW][C]0.06[/C][C]396.355111703763[/C][C]2.79383345645570[/C][/ROW]
[ROW][C]0.07[/C][C]397.501864029271[/C][C]2.78288173167988[/C][/ROW]
[ROW][C]0.08[/C][C]398.530240854581[/C][C]3.05708971605440[/C][/ROW]
[ROW][C]0.09[/C][C]399.530079984843[/C][C]3.42999403484192[/C][/ROW]
[ROW][C]0.1[/C][C]400.548611043798[/C][C]3.7713935561728[/C][/ROW]
[ROW][C]0.11[/C][C]401.597629055857[/C][C]4.01723884761517[/C][/ROW]
[ROW][C]0.12[/C][C]402.666939460791[/C][C]4.15014619955388[/C][/ROW]
[ROW][C]0.13[/C][C]403.73730462909[/C][C]4.18414081302237[/C][/ROW]
[ROW][C]0.14[/C][C]404.78969298511[/C][C]4.14818001467784[/C][/ROW]
[ROW][C]0.15[/C][C]405.8102707226[/C][C]4.07470784613649[/C][/ROW]
[ROW][C]0.16[/C][C]406.791997015666[/C][C]3.99256995887414[/C][/ROW]
[ROW][C]0.17[/C][C]407.734123818638[/C][C]3.92235368013529[/C][/ROW]
[ROW][C]0.18[/C][C]408.640756309345[/C][C]3.87868331063223[/C][/ROW]
[ROW][C]0.19[/C][C]409.519244376707[/C][C]3.87122658117339[/C][/ROW]
[ROW][C]0.2[/C][C]410.378779287048[/C][C]3.90622635972744[/C][/ROW]
[ROW][C]0.21[/C][C]411.229282028373[/C][C]3.98626798984136[/C][/ROW]
[ROW][C]0.22[/C][C]412.080524047118[/C][C]4.11203276708585[/C][/ROW]
[ROW][C]0.23[/C][C]412.941394210225[/C][C]4.27810075990247[/C][/ROW]
[ROW][C]0.24[/C][C]413.819268296184[/C][C]4.47494029105602[/C][/ROW]
[ROW][C]0.25[/C][C]414.71949770191[/C][C]4.68991796764005[/C][/ROW]
[ROW][C]0.26[/C][C]415.645075133401[/C][C]4.90777590120465[/C][/ROW]
[ROW][C]0.27[/C][C]416.596540169227[/C][C]5.11439861361363[/C][/ROW]
[ROW][C]0.28[/C][C]417.572158827333[/C][C]5.29665550753397[/C][/ROW]
[ROW][C]0.29[/C][C]418.568362778031[/C][C]5.44631384199015[/C][/ROW]
[ROW][C]0.3[/C][C]419.580383827116[/C][C]5.55915390843601[/C][/ROW]
[ROW][C]0.31[/C][C]420.602983277063[/C][C]5.63600230382511[/C][/ROW]
[ROW][C]0.32[/C][C]421.631162643521[/C][C]5.68255471029149[/C][/ROW]
[ROW][C]0.33[/C][C]422.660753164158[/C][C]5.70659998746248[/C][/ROW]
[ROW][C]0.34[/C][C]423.688811451060[/C][C]5.71761068545803[/C][/ROW]
[ROW][C]0.35[/C][C]424.713788704699[/C][C]5.72486548393282[/C][/ROW]
[ROW][C]0.36[/C][C]425.735481610966[/C][C]5.73726717951109[/C][/ROW]
[ROW][C]0.37[/C][C]426.754806538357[/C][C]5.76000286254935[/C][/ROW]
[ROW][C]0.38[/C][C]427.773460123505[/C][C]5.79596065222669[/C][/ROW]
[ROW][C]0.39[/C][C]428.793537248459[/C][C]5.84500035187199[/C][/ROW]
[ROW][C]0.4[/C][C]429.817172933644[/C][C]5.90584383493363[/C][/ROW]
[ROW][C]0.41[/C][C]430.846260629827[/C][C]5.97452808520967[/C][/ROW]
[ROW][C]0.42[/C][C]431.882279280008[/C][C]6.04675953415542[/C][/ROW]
[ROW][C]0.43[/C][C]432.926238771059[/C][C]6.11886690446836[/C][/ROW]
[ROW][C]0.44[/C][C]433.978731075799[/C][C]6.18865842752176[/C][/ROW]
[ROW][C]0.45[/C][C]435.040055208410[/C][C]6.25392401666502[/C][/ROW]
[ROW][C]0.46[/C][C]436.110370521184[/C][C]6.31561254077202[/C][/ROW]
[ROW][C]0.47[/C][C]437.189826995942[/C][C]6.37501514919404[/C][/ROW]
[ROW][C]0.48[/C][C]438.27862457109[/C][C]6.43380468554131[/C][/ROW]
[ROW][C]0.49[/C][C]439.37696663478[/C][C]6.4943891761082[/C][/ROW]
[ROW][C]0.5[/C][C]440.484894405285[/C][C]6.55599493643256[/C][/ROW]
[ROW][C]0.51[/C][C]441.602015872836[/C][C]6.61684025272273[/C][/ROW]
[ROW][C]0.52[/C][C]442.727170398134[/C][C]6.67151954237155[/C][/ROW]
[ROW][C]0.53[/C][C]443.858092071888[/C][C]6.71144711431809[/C][/ROW]
[ROW][C]0.54[/C][C]444.991145938401[/C][C]6.72585051708576[/C][/ROW]
[ROW][C]0.55[/C][C]446.121207328847[/C][C]6.7039180477834[/C][/ROW]
[ROW][C]0.56[/C][C]447.241735004115[/C][C]6.63491259953737[/C][/ROW]
[ROW][C]0.57[/C][C]448.345056381328[/C][C]6.512166190757[/C][/ROW]
[ROW][C]0.58[/C][C]449.422843977403[/C][C]6.33141298353686[/C][/ROW]
[ROW][C]0.59[/C][C]450.466724634600[/C][C]6.09354954285583[/C][/ROW]
[ROW][C]0.6[/C][C]451.468935576468[/C][C]5.80559910370618[/C][/ROW]
[ROW][C]0.61[/C][C]452.422930410882[/C][C]5.47706264568071[/C][/ROW]
[ROW][C]0.62[/C][C]453.323846682315[/C][C]5.12154281942262[/C][/ROW]
[ROW][C]0.63[/C][C]454.168772764276[/C][C]4.75364346494969[/C][/ROW]
[ROW][C]0.64[/C][C]454.956789860116[/C][C]4.38703643110951[/C][/ROW]
[ROW][C]0.65[/C][C]455.688806010532[/C][C]4.03352263057713[/C][/ROW]
[ROW][C]0.66[/C][C]456.36723415015[/C][C]3.70236198409673[/C][/ROW]
[ROW][C]0.67[/C][C]456.995588102032[/C][C]3.39820333671765[/C][/ROW]
[ROW][C]0.68[/C][C]457.578075240067[/C][C]3.12367644992747[/C][/ROW]
[ROW][C]0.69[/C][C]458.119253008415[/C][C]2.87815611999484[/C][/ROW]
[ROW][C]0.7[/C][C]458.623793022592[/C][C]2.66035407751464[/C][/ROW]
[ROW][C]0.71[/C][C]459.096367869284[/C][C]2.46799623357932[/C][/ROW]
[ROW][C]0.72[/C][C]459.541649057573[/C][C]2.30004654321564[/C][/ROW]
[ROW][C]0.73[/C][C]459.964385359897[/C][C]2.15669563980309[/C][/ROW]
[ROW][C]0.74[/C][C]460.369521741232[/C][C]2.03846218637386[/C][/ROW]
[ROW][C]0.75[/C][C]460.762319899528[/C][C]1.94684554105868[/C][/ROW]
[ROW][C]0.76[/C][C]461.148449402412[/C][C]1.88408454160981[/C][/ROW]
[ROW][C]0.77[/C][C]461.534029478613[/C][C]1.85202088752266[/C][/ROW]
[ROW][C]0.78[/C][C]461.925611531878[/C][C]1.85164754775519[/C][/ROW]
[ROW][C]0.79[/C][C]462.330097923811[/C][C]1.88301944437590[/C][/ROW]
[ROW][C]0.8[/C][C]462.754591329714[/C][C]1.94504863981127[/C][/ROW]
[ROW][C]0.81[/C][C]463.2061606947[/C][C]2.03541484076784[/C][/ROW]
[ROW][C]0.82[/C][C]463.691497101508[/C][C]2.14964235429739[/C][/ROW]
[ROW][C]0.83[/C][C]464.216422691340[/C][C]2.28215931509392[/C][/ROW]
[ROW][C]0.84[/C][C]464.785220654748[/C][C]2.42478481845029[/C][/ROW]
[ROW][C]0.85[/C][C]465.399791318526[/C][C]2.56594490555548[/C][/ROW]
[ROW][C]0.86[/C][C]466.058725201163[/C][C]2.69073480612786[/C][/ROW]
[ROW][C]0.87[/C][C]466.756524773813[/C][C]2.78122195350654[/C][/ROW]
[ROW][C]0.88[/C][C]467.483383442755[/C][C]2.81758058281077[/C][/ROW]
[ROW][C]0.89[/C][C]468.226080825409[/C][C]2.78282435952953[/C][/ROW]
[ROW][C]0.9[/C][C]468.970553556006[/C][C]2.66916284492577[/C][/ROW]
[ROW][C]0.91[/C][C]469.706351443946[/C][C]2.48524096867684[/C][/ROW]
[ROW][C]0.92[/C][C]470.432243586645[/C][C]2.26342367352446[/C][/ROW]
[ROW][C]0.93[/C][C]471.160569125743[/C][C]2.06507221723401[/C][/ROW]
[ROW][C]0.94[/C][C]471.915955547911[/C][C]1.96947489171378[/C][/ROW]
[ROW][C]0.95[/C][C]472.723383928106[/C][C]2.0183559108729[/C][/ROW]
[ROW][C]0.96[/C][C]473.58426893324[/C][C]2.12628318165251[/C][/ROW]
[ROW][C]0.97[/C][C]474.449662717837[/C][C]2.07099172266008[/C][/ROW]
[ROW][C]0.98[/C][C]475.213450687454[/C][C]1.62554533432328[/C][/ROW]
[ROW][C]0.99[/C][C]475.750942267462[/C][C]0.79660327871999[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110723&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110723&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
0.01386.4390741097494.99688857991378
0.02388.6691383432524.98045700632451
0.03391.0697427397144.61052259496581
0.04393.2181803704243.9189947694511
0.05394.966835262893.21014640864317
0.06396.3551117037632.79383345645570
0.07397.5018640292712.78288173167988
0.08398.5302408545813.05708971605440
0.09399.5300799848433.42999403484192
0.1400.5486110437983.7713935561728
0.11401.5976290558574.01723884761517
0.12402.6669394607914.15014619955388
0.13403.737304629094.18414081302237
0.14404.789692985114.14818001467784
0.15405.81027072264.07470784613649
0.16406.7919970156663.99256995887414
0.17407.7341238186383.92235368013529
0.18408.6407563093453.87868331063223
0.19409.5192443767073.87122658117339
0.2410.3787792870483.90622635972744
0.21411.2292820283733.98626798984136
0.22412.0805240471184.11203276708585
0.23412.9413942102254.27810075990247
0.24413.8192682961844.47494029105602
0.25414.719497701914.68991796764005
0.26415.6450751334014.90777590120465
0.27416.5965401692275.11439861361363
0.28417.5721588273335.29665550753397
0.29418.5683627780315.44631384199015
0.3419.5803838271165.55915390843601
0.31420.6029832770635.63600230382511
0.32421.6311626435215.68255471029149
0.33422.6607531641585.70659998746248
0.34423.6888114510605.71761068545803
0.35424.7137887046995.72486548393282
0.36425.7354816109665.73726717951109
0.37426.7548065383575.76000286254935
0.38427.7734601235055.79596065222669
0.39428.7935372484595.84500035187199
0.4429.8171729336445.90584383493363
0.41430.8462606298275.97452808520967
0.42431.8822792800086.04675953415542
0.43432.9262387710596.11886690446836
0.44433.9787310757996.18865842752176
0.45435.0400552084106.25392401666502
0.46436.1103705211846.31561254077202
0.47437.1898269959426.37501514919404
0.48438.278624571096.43380468554131
0.49439.376966634786.4943891761082
0.5440.4848944052856.55599493643256
0.51441.6020158728366.61684025272273
0.52442.7271703981346.67151954237155
0.53443.8580920718886.71144711431809
0.54444.9911459384016.72585051708576
0.55446.1212073288476.7039180477834
0.56447.2417350041156.63491259953737
0.57448.3450563813286.512166190757
0.58449.4228439774036.33141298353686
0.59450.4667246346006.09354954285583
0.6451.4689355764685.80559910370618
0.61452.4229304108825.47706264568071
0.62453.3238466823155.12154281942262
0.63454.1687727642764.75364346494969
0.64454.9567898601164.38703643110951
0.65455.6888060105324.03352263057713
0.66456.367234150153.70236198409673
0.67456.9955881020323.39820333671765
0.68457.5780752400673.12367644992747
0.69458.1192530084152.87815611999484
0.7458.6237930225922.66035407751464
0.71459.0963678692842.46799623357932
0.72459.5416490575732.30004654321564
0.73459.9643853598972.15669563980309
0.74460.3695217412322.03846218637386
0.75460.7623198995281.94684554105868
0.76461.1484494024121.88408454160981
0.77461.5340294786131.85202088752266
0.78461.9256115318781.85164754775519
0.79462.3300979238111.88301944437590
0.8462.7545913297141.94504863981127
0.81463.20616069472.03541484076784
0.82463.6914971015082.14964235429739
0.83464.2164226913402.28215931509392
0.84464.7852206547482.42478481845029
0.85465.3997913185262.56594490555548
0.86466.0587252011632.69073480612786
0.87466.7565247738132.78122195350654
0.88467.4833834427552.81758058281077
0.89468.2260808254092.78282435952953
0.9468.9705535560062.66916284492577
0.91469.7063514439462.48524096867684
0.92470.4322435866452.26342367352446
0.93471.1605691257432.06507221723401
0.94471.9159555479111.96947489171378
0.95472.7233839281062.0183559108729
0.96473.584268933242.12628318165251
0.97474.4496627178372.07099172266008
0.98475.2134506874541.62554533432328
0.99475.7509422674620.79660327871999


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')