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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, 01 Mar 2016 15:59:24 +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/2016/Mar/01/t14568480594qf0yyhscq7vmor.htm/, Retrieved Tue, 07 May 2024 15:36:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293171, Retrieved Tue, 07 May 2024 15:36:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83

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] [] [2016-03-01 15:59:24] [ac7ea8eb5659db737c8f3ddefda617c5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
340.4
343.2
345
346.6
348.7
351.1
352.7
354.8
359.8
364.4
366.2
368.8
369.6
370.6
374.2
378.1
381
383.2
387.3
391.4
395.1
399.1
403
406.3
410.2
413.3
418.4
421.4
422.5
425.5
427.3
430.7
433.2
437.5
439.9
443
445.6
446.2
449.3
453.9
458
461.2
463.7
466
468.3
471.7
474.7
477.3
479.8
482.6
485.6
488.5
492
494.8
498.3
502.1
505.8
511.7
516.6
521.3
526.1
530.4
534.7
538.4
544.6
547.7
551.4
554.3
557.5
560.7
563.8
566.2
567.2
569.3
570.9
573
575.1
578.1
581
584.4

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' @ yule.wessa.net

\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' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293171&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293171&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293171&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' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01341.445397478312.53250149601602
0.02343.0277777176622.47808764784223
0.03344.6951669040372.74864300518838
0.04346.3364404943433.23320150717891
0.05348.0041302565933.84047652017561
0.06349.7620948405934.5280197732059
0.07351.6452368358325.25723594028126
0.08353.6602898431675.96545195738127
0.09355.7903611083216.57069732063851
0.1358.0000596047517.00817866587157
0.11360.2445764430167.25991487279546
0.12362.4820182651747.36668210217896
0.13364.6847866108217.4112809559277
0.14366.8458258409077.49102089490503
0.15368.9781183233187.67944719178046
0.16371.1087245547988.01189081572866
0.17373.2703484215938.48064016817155
0.18375.4934464616069.05030214489524
0.19377.8008131461389.67551509936805
0.2380.20518623068910.3130443757447
0.21382.7093596959910.9280911649008
0.22385.30781572981611.4928338743043
0.23387.9889172543311.9898853941127
0.24390.73700988622312.4066560593089
0.25393.53413974227612.7351642012985
0.26396.36136041920612.9720244517151
0.27399.19973619876113.1163702471578
0.28402.03117237596413.1715675560904
0.29404.83916469871113.1451335876734
0.3407.60949981867513.0481935169027
0.31410.33088307513312.8934287724239
0.32412.99543152813512.700021257356
0.33415.59895503124412.4866382203163
0.34418.1409592129112.2732550317273
0.35420.62434031788812.0762989355747
0.36423.05479517920711.9105534180691
0.37425.44002555350411.7839756661101
0.38427.78885689953211.6995714022725
0.39430.1104029552711.6566658456832
0.4432.41338421206311.6493419715229
0.41434.70565787066511.6731732537847
0.42436.99395633737911.71994957317
0.43439.28378150640711.7848461829475
0.44441.57937920039611.8629630493844
0.45443.88372777629611.9486439375515
0.46446.19851015187412.0357252878755
0.47448.52408314690212.1168931698456
0.48450.85949318138312.1842589950409
0.49453.20259888906612.2301789915931
0.5455.55034484980712.2501523378984
0.51457.89919311061112.2413582867275
0.52460.24567481963112.2068776831293
0.53462.58698922729812.1512579910072
0.54464.92156319793612.083974580355
0.55467.24949459484112.0166049932776
0.56469.5728320891611.9593938942952
0.57471.89568082615211.9236325795693
0.58474.22415537936911.9192499987573
0.59476.56621907660911.9549295599118
0.6478.93144848938412.0370569006077
0.61481.33074631444512.1707675841762
0.62483.77600245876812.3595757599934
0.63486.27968144861612.6052903704263
0.64488.85430335090612.9050907915424
0.65491.51179141514413.2553270382086
0.66494.2626842883213.6451195584363
0.67497.1152500776714.0613636272406
0.68500.07458433610814.4847672241678
0.69503.14181068272714.8914911764677
0.7506.3135168282815.2576111074302
0.71509.58153980591715.5580288971927
0.72512.93316086004515.7714794433866
0.73516.35169362061415.8817317948167
0.74519.81737086202815.8779145279535
0.75523.30838172394915.7570129622195
0.76526.80190282818415.5196107076895
0.77530.27500627982115.1736536832723
0.78533.705396246514.7250102384275
0.79537.07198885483314.1846356553667
0.8540.35537369333913.5628847664304
0.81543.53816803102612.8729059275812
0.82546.60522244897212.1290462495065
0.83549.54361511417911.344447218639
0.84552.34243715214110.5331451243738
0.85554.992533310239.70465894866334
0.86557.4865512327258.86660569528924
0.87559.8197329237888.027039914707
0.88561.9917215703097.19921727269986
0.89564.0092341672246.40651224212441
0.9565.8889216995825.68260515480211
0.91567.6593857655235.06495613086632
0.92569.3613619578014.58423558714285
0.93571.0454850139714.2533929086398
0.94572.7676360550074.05711457079326
0.95574.5827094523573.95064339529375
0.96576.5382543952143.86021079628837
0.97578.6632597423643.70026372178088
0.98580.917771741683.4512145970418
0.99583.0396959639543.2891651245884

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 341.44539747831 & 2.53250149601602 \tabularnewline
0.02 & 343.027777717662 & 2.47808764784223 \tabularnewline
0.03 & 344.695166904037 & 2.74864300518838 \tabularnewline
0.04 & 346.336440494343 & 3.23320150717891 \tabularnewline
0.05 & 348.004130256593 & 3.84047652017561 \tabularnewline
0.06 & 349.762094840593 & 4.5280197732059 \tabularnewline
0.07 & 351.645236835832 & 5.25723594028126 \tabularnewline
0.08 & 353.660289843167 & 5.96545195738127 \tabularnewline
0.09 & 355.790361108321 & 6.57069732063851 \tabularnewline
0.1 & 358.000059604751 & 7.00817866587157 \tabularnewline
0.11 & 360.244576443016 & 7.25991487279546 \tabularnewline
0.12 & 362.482018265174 & 7.36668210217896 \tabularnewline
0.13 & 364.684786610821 & 7.4112809559277 \tabularnewline
0.14 & 366.845825840907 & 7.49102089490503 \tabularnewline
0.15 & 368.978118323318 & 7.67944719178046 \tabularnewline
0.16 & 371.108724554798 & 8.01189081572866 \tabularnewline
0.17 & 373.270348421593 & 8.48064016817155 \tabularnewline
0.18 & 375.493446461606 & 9.05030214489524 \tabularnewline
0.19 & 377.800813146138 & 9.67551509936805 \tabularnewline
0.2 & 380.205186230689 & 10.3130443757447 \tabularnewline
0.21 & 382.70935969599 & 10.9280911649008 \tabularnewline
0.22 & 385.307815729816 & 11.4928338743043 \tabularnewline
0.23 & 387.98891725433 & 11.9898853941127 \tabularnewline
0.24 & 390.737009886223 & 12.4066560593089 \tabularnewline
0.25 & 393.534139742276 & 12.7351642012985 \tabularnewline
0.26 & 396.361360419206 & 12.9720244517151 \tabularnewline
0.27 & 399.199736198761 & 13.1163702471578 \tabularnewline
0.28 & 402.031172375964 & 13.1715675560904 \tabularnewline
0.29 & 404.839164698711 & 13.1451335876734 \tabularnewline
0.3 & 407.609499818675 & 13.0481935169027 \tabularnewline
0.31 & 410.330883075133 & 12.8934287724239 \tabularnewline
0.32 & 412.995431528135 & 12.700021257356 \tabularnewline
0.33 & 415.598955031244 & 12.4866382203163 \tabularnewline
0.34 & 418.14095921291 & 12.2732550317273 \tabularnewline
0.35 & 420.624340317888 & 12.0762989355747 \tabularnewline
0.36 & 423.054795179207 & 11.9105534180691 \tabularnewline
0.37 & 425.440025553504 & 11.7839756661101 \tabularnewline
0.38 & 427.788856899532 & 11.6995714022725 \tabularnewline
0.39 & 430.11040295527 & 11.6566658456832 \tabularnewline
0.4 & 432.413384212063 & 11.6493419715229 \tabularnewline
0.41 & 434.705657870665 & 11.6731732537847 \tabularnewline
0.42 & 436.993956337379 & 11.71994957317 \tabularnewline
0.43 & 439.283781506407 & 11.7848461829475 \tabularnewline
0.44 & 441.579379200396 & 11.8629630493844 \tabularnewline
0.45 & 443.883727776296 & 11.9486439375515 \tabularnewline
0.46 & 446.198510151874 & 12.0357252878755 \tabularnewline
0.47 & 448.524083146902 & 12.1168931698456 \tabularnewline
0.48 & 450.859493181383 & 12.1842589950409 \tabularnewline
0.49 & 453.202598889066 & 12.2301789915931 \tabularnewline
0.5 & 455.550344849807 & 12.2501523378984 \tabularnewline
0.51 & 457.899193110611 & 12.2413582867275 \tabularnewline
0.52 & 460.245674819631 & 12.2068776831293 \tabularnewline
0.53 & 462.586989227298 & 12.1512579910072 \tabularnewline
0.54 & 464.921563197936 & 12.083974580355 \tabularnewline
0.55 & 467.249494594841 & 12.0166049932776 \tabularnewline
0.56 & 469.57283208916 & 11.9593938942952 \tabularnewline
0.57 & 471.895680826152 & 11.9236325795693 \tabularnewline
0.58 & 474.224155379369 & 11.9192499987573 \tabularnewline
0.59 & 476.566219076609 & 11.9549295599118 \tabularnewline
0.6 & 478.931448489384 & 12.0370569006077 \tabularnewline
0.61 & 481.330746314445 & 12.1707675841762 \tabularnewline
0.62 & 483.776002458768 & 12.3595757599934 \tabularnewline
0.63 & 486.279681448616 & 12.6052903704263 \tabularnewline
0.64 & 488.854303350906 & 12.9050907915424 \tabularnewline
0.65 & 491.511791415144 & 13.2553270382086 \tabularnewline
0.66 & 494.26268428832 & 13.6451195584363 \tabularnewline
0.67 & 497.11525007767 & 14.0613636272406 \tabularnewline
0.68 & 500.074584336108 & 14.4847672241678 \tabularnewline
0.69 & 503.141810682727 & 14.8914911764677 \tabularnewline
0.7 & 506.31351682828 & 15.2576111074302 \tabularnewline
0.71 & 509.581539805917 & 15.5580288971927 \tabularnewline
0.72 & 512.933160860045 & 15.7714794433866 \tabularnewline
0.73 & 516.351693620614 & 15.8817317948167 \tabularnewline
0.74 & 519.817370862028 & 15.8779145279535 \tabularnewline
0.75 & 523.308381723949 & 15.7570129622195 \tabularnewline
0.76 & 526.801902828184 & 15.5196107076895 \tabularnewline
0.77 & 530.275006279821 & 15.1736536832723 \tabularnewline
0.78 & 533.7053962465 & 14.7250102384275 \tabularnewline
0.79 & 537.071988854833 & 14.1846356553667 \tabularnewline
0.8 & 540.355373693339 & 13.5628847664304 \tabularnewline
0.81 & 543.538168031026 & 12.8729059275812 \tabularnewline
0.82 & 546.605222448972 & 12.1290462495065 \tabularnewline
0.83 & 549.543615114179 & 11.344447218639 \tabularnewline
0.84 & 552.342437152141 & 10.5331451243738 \tabularnewline
0.85 & 554.99253331023 & 9.70465894866334 \tabularnewline
0.86 & 557.486551232725 & 8.86660569528924 \tabularnewline
0.87 & 559.819732923788 & 8.027039914707 \tabularnewline
0.88 & 561.991721570309 & 7.19921727269986 \tabularnewline
0.89 & 564.009234167224 & 6.40651224212441 \tabularnewline
0.9 & 565.888921699582 & 5.68260515480211 \tabularnewline
0.91 & 567.659385765523 & 5.06495613086632 \tabularnewline
0.92 & 569.361361957801 & 4.58423558714285 \tabularnewline
0.93 & 571.045485013971 & 4.2533929086398 \tabularnewline
0.94 & 572.767636055007 & 4.05711457079326 \tabularnewline
0.95 & 574.582709452357 & 3.95064339529375 \tabularnewline
0.96 & 576.538254395214 & 3.86021079628837 \tabularnewline
0.97 & 578.663259742364 & 3.70026372178088 \tabularnewline
0.98 & 580.91777174168 & 3.4512145970418 \tabularnewline
0.99 & 583.039695963954 & 3.2891651245884 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293171&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]341.44539747831[/C][C]2.53250149601602[/C][/ROW]
[ROW][C]0.02[/C][C]343.027777717662[/C][C]2.47808764784223[/C][/ROW]
[ROW][C]0.03[/C][C]344.695166904037[/C][C]2.74864300518838[/C][/ROW]
[ROW][C]0.04[/C][C]346.336440494343[/C][C]3.23320150717891[/C][/ROW]
[ROW][C]0.05[/C][C]348.004130256593[/C][C]3.84047652017561[/C][/ROW]
[ROW][C]0.06[/C][C]349.762094840593[/C][C]4.5280197732059[/C][/ROW]
[ROW][C]0.07[/C][C]351.645236835832[/C][C]5.25723594028126[/C][/ROW]
[ROW][C]0.08[/C][C]353.660289843167[/C][C]5.96545195738127[/C][/ROW]
[ROW][C]0.09[/C][C]355.790361108321[/C][C]6.57069732063851[/C][/ROW]
[ROW][C]0.1[/C][C]358.000059604751[/C][C]7.00817866587157[/C][/ROW]
[ROW][C]0.11[/C][C]360.244576443016[/C][C]7.25991487279546[/C][/ROW]
[ROW][C]0.12[/C][C]362.482018265174[/C][C]7.36668210217896[/C][/ROW]
[ROW][C]0.13[/C][C]364.684786610821[/C][C]7.4112809559277[/C][/ROW]
[ROW][C]0.14[/C][C]366.845825840907[/C][C]7.49102089490503[/C][/ROW]
[ROW][C]0.15[/C][C]368.978118323318[/C][C]7.67944719178046[/C][/ROW]
[ROW][C]0.16[/C][C]371.108724554798[/C][C]8.01189081572866[/C][/ROW]
[ROW][C]0.17[/C][C]373.270348421593[/C][C]8.48064016817155[/C][/ROW]
[ROW][C]0.18[/C][C]375.493446461606[/C][C]9.05030214489524[/C][/ROW]
[ROW][C]0.19[/C][C]377.800813146138[/C][C]9.67551509936805[/C][/ROW]
[ROW][C]0.2[/C][C]380.205186230689[/C][C]10.3130443757447[/C][/ROW]
[ROW][C]0.21[/C][C]382.70935969599[/C][C]10.9280911649008[/C][/ROW]
[ROW][C]0.22[/C][C]385.307815729816[/C][C]11.4928338743043[/C][/ROW]
[ROW][C]0.23[/C][C]387.98891725433[/C][C]11.9898853941127[/C][/ROW]
[ROW][C]0.24[/C][C]390.737009886223[/C][C]12.4066560593089[/C][/ROW]
[ROW][C]0.25[/C][C]393.534139742276[/C][C]12.7351642012985[/C][/ROW]
[ROW][C]0.26[/C][C]396.361360419206[/C][C]12.9720244517151[/C][/ROW]
[ROW][C]0.27[/C][C]399.199736198761[/C][C]13.1163702471578[/C][/ROW]
[ROW][C]0.28[/C][C]402.031172375964[/C][C]13.1715675560904[/C][/ROW]
[ROW][C]0.29[/C][C]404.839164698711[/C][C]13.1451335876734[/C][/ROW]
[ROW][C]0.3[/C][C]407.609499818675[/C][C]13.0481935169027[/C][/ROW]
[ROW][C]0.31[/C][C]410.330883075133[/C][C]12.8934287724239[/C][/ROW]
[ROW][C]0.32[/C][C]412.995431528135[/C][C]12.700021257356[/C][/ROW]
[ROW][C]0.33[/C][C]415.598955031244[/C][C]12.4866382203163[/C][/ROW]
[ROW][C]0.34[/C][C]418.14095921291[/C][C]12.2732550317273[/C][/ROW]
[ROW][C]0.35[/C][C]420.624340317888[/C][C]12.0762989355747[/C][/ROW]
[ROW][C]0.36[/C][C]423.054795179207[/C][C]11.9105534180691[/C][/ROW]
[ROW][C]0.37[/C][C]425.440025553504[/C][C]11.7839756661101[/C][/ROW]
[ROW][C]0.38[/C][C]427.788856899532[/C][C]11.6995714022725[/C][/ROW]
[ROW][C]0.39[/C][C]430.11040295527[/C][C]11.6566658456832[/C][/ROW]
[ROW][C]0.4[/C][C]432.413384212063[/C][C]11.6493419715229[/C][/ROW]
[ROW][C]0.41[/C][C]434.705657870665[/C][C]11.6731732537847[/C][/ROW]
[ROW][C]0.42[/C][C]436.993956337379[/C][C]11.71994957317[/C][/ROW]
[ROW][C]0.43[/C][C]439.283781506407[/C][C]11.7848461829475[/C][/ROW]
[ROW][C]0.44[/C][C]441.579379200396[/C][C]11.8629630493844[/C][/ROW]
[ROW][C]0.45[/C][C]443.883727776296[/C][C]11.9486439375515[/C][/ROW]
[ROW][C]0.46[/C][C]446.198510151874[/C][C]12.0357252878755[/C][/ROW]
[ROW][C]0.47[/C][C]448.524083146902[/C][C]12.1168931698456[/C][/ROW]
[ROW][C]0.48[/C][C]450.859493181383[/C][C]12.1842589950409[/C][/ROW]
[ROW][C]0.49[/C][C]453.202598889066[/C][C]12.2301789915931[/C][/ROW]
[ROW][C]0.5[/C][C]455.550344849807[/C][C]12.2501523378984[/C][/ROW]
[ROW][C]0.51[/C][C]457.899193110611[/C][C]12.2413582867275[/C][/ROW]
[ROW][C]0.52[/C][C]460.245674819631[/C][C]12.2068776831293[/C][/ROW]
[ROW][C]0.53[/C][C]462.586989227298[/C][C]12.1512579910072[/C][/ROW]
[ROW][C]0.54[/C][C]464.921563197936[/C][C]12.083974580355[/C][/ROW]
[ROW][C]0.55[/C][C]467.249494594841[/C][C]12.0166049932776[/C][/ROW]
[ROW][C]0.56[/C][C]469.57283208916[/C][C]11.9593938942952[/C][/ROW]
[ROW][C]0.57[/C][C]471.895680826152[/C][C]11.9236325795693[/C][/ROW]
[ROW][C]0.58[/C][C]474.224155379369[/C][C]11.9192499987573[/C][/ROW]
[ROW][C]0.59[/C][C]476.566219076609[/C][C]11.9549295599118[/C][/ROW]
[ROW][C]0.6[/C][C]478.931448489384[/C][C]12.0370569006077[/C][/ROW]
[ROW][C]0.61[/C][C]481.330746314445[/C][C]12.1707675841762[/C][/ROW]
[ROW][C]0.62[/C][C]483.776002458768[/C][C]12.3595757599934[/C][/ROW]
[ROW][C]0.63[/C][C]486.279681448616[/C][C]12.6052903704263[/C][/ROW]
[ROW][C]0.64[/C][C]488.854303350906[/C][C]12.9050907915424[/C][/ROW]
[ROW][C]0.65[/C][C]491.511791415144[/C][C]13.2553270382086[/C][/ROW]
[ROW][C]0.66[/C][C]494.26268428832[/C][C]13.6451195584363[/C][/ROW]
[ROW][C]0.67[/C][C]497.11525007767[/C][C]14.0613636272406[/C][/ROW]
[ROW][C]0.68[/C][C]500.074584336108[/C][C]14.4847672241678[/C][/ROW]
[ROW][C]0.69[/C][C]503.141810682727[/C][C]14.8914911764677[/C][/ROW]
[ROW][C]0.7[/C][C]506.31351682828[/C][C]15.2576111074302[/C][/ROW]
[ROW][C]0.71[/C][C]509.581539805917[/C][C]15.5580288971927[/C][/ROW]
[ROW][C]0.72[/C][C]512.933160860045[/C][C]15.7714794433866[/C][/ROW]
[ROW][C]0.73[/C][C]516.351693620614[/C][C]15.8817317948167[/C][/ROW]
[ROW][C]0.74[/C][C]519.817370862028[/C][C]15.8779145279535[/C][/ROW]
[ROW][C]0.75[/C][C]523.308381723949[/C][C]15.7570129622195[/C][/ROW]
[ROW][C]0.76[/C][C]526.801902828184[/C][C]15.5196107076895[/C][/ROW]
[ROW][C]0.77[/C][C]530.275006279821[/C][C]15.1736536832723[/C][/ROW]
[ROW][C]0.78[/C][C]533.7053962465[/C][C]14.7250102384275[/C][/ROW]
[ROW][C]0.79[/C][C]537.071988854833[/C][C]14.1846356553667[/C][/ROW]
[ROW][C]0.8[/C][C]540.355373693339[/C][C]13.5628847664304[/C][/ROW]
[ROW][C]0.81[/C][C]543.538168031026[/C][C]12.8729059275812[/C][/ROW]
[ROW][C]0.82[/C][C]546.605222448972[/C][C]12.1290462495065[/C][/ROW]
[ROW][C]0.83[/C][C]549.543615114179[/C][C]11.344447218639[/C][/ROW]
[ROW][C]0.84[/C][C]552.342437152141[/C][C]10.5331451243738[/C][/ROW]
[ROW][C]0.85[/C][C]554.99253331023[/C][C]9.70465894866334[/C][/ROW]
[ROW][C]0.86[/C][C]557.486551232725[/C][C]8.86660569528924[/C][/ROW]
[ROW][C]0.87[/C][C]559.819732923788[/C][C]8.027039914707[/C][/ROW]
[ROW][C]0.88[/C][C]561.991721570309[/C][C]7.19921727269986[/C][/ROW]
[ROW][C]0.89[/C][C]564.009234167224[/C][C]6.40651224212441[/C][/ROW]
[ROW][C]0.9[/C][C]565.888921699582[/C][C]5.68260515480211[/C][/ROW]
[ROW][C]0.91[/C][C]567.659385765523[/C][C]5.06495613086632[/C][/ROW]
[ROW][C]0.92[/C][C]569.361361957801[/C][C]4.58423558714285[/C][/ROW]
[ROW][C]0.93[/C][C]571.045485013971[/C][C]4.2533929086398[/C][/ROW]
[ROW][C]0.94[/C][C]572.767636055007[/C][C]4.05711457079326[/C][/ROW]
[ROW][C]0.95[/C][C]574.582709452357[/C][C]3.95064339529375[/C][/ROW]
[ROW][C]0.96[/C][C]576.538254395214[/C][C]3.86021079628837[/C][/ROW]
[ROW][C]0.97[/C][C]578.663259742364[/C][C]3.70026372178088[/C][/ROW]
[ROW][C]0.98[/C][C]580.91777174168[/C][C]3.4512145970418[/C][/ROW]
[ROW][C]0.99[/C][C]583.039695963954[/C][C]3.2891651245884[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293171&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293171&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
0.01341.445397478312.53250149601602
0.02343.0277777176622.47808764784223
0.03344.6951669040372.74864300518838
0.04346.3364404943433.23320150717891
0.05348.0041302565933.84047652017561
0.06349.7620948405934.5280197732059
0.07351.6452368358325.25723594028126
0.08353.6602898431675.96545195738127
0.09355.7903611083216.57069732063851
0.1358.0000596047517.00817866587157
0.11360.2445764430167.25991487279546
0.12362.4820182651747.36668210217896
0.13364.6847866108217.4112809559277
0.14366.8458258409077.49102089490503
0.15368.9781183233187.67944719178046
0.16371.1087245547988.01189081572866
0.17373.2703484215938.48064016817155
0.18375.4934464616069.05030214489524
0.19377.8008131461389.67551509936805
0.2380.20518623068910.3130443757447
0.21382.7093596959910.9280911649008
0.22385.30781572981611.4928338743043
0.23387.9889172543311.9898853941127
0.24390.73700988622312.4066560593089
0.25393.53413974227612.7351642012985
0.26396.36136041920612.9720244517151
0.27399.19973619876113.1163702471578
0.28402.03117237596413.1715675560904
0.29404.83916469871113.1451335876734
0.3407.60949981867513.0481935169027
0.31410.33088307513312.8934287724239
0.32412.99543152813512.700021257356
0.33415.59895503124412.4866382203163
0.34418.1409592129112.2732550317273
0.35420.62434031788812.0762989355747
0.36423.05479517920711.9105534180691
0.37425.44002555350411.7839756661101
0.38427.78885689953211.6995714022725
0.39430.1104029552711.6566658456832
0.4432.41338421206311.6493419715229
0.41434.70565787066511.6731732537847
0.42436.99395633737911.71994957317
0.43439.28378150640711.7848461829475
0.44441.57937920039611.8629630493844
0.45443.88372777629611.9486439375515
0.46446.19851015187412.0357252878755
0.47448.52408314690212.1168931698456
0.48450.85949318138312.1842589950409
0.49453.20259888906612.2301789915931
0.5455.55034484980712.2501523378984
0.51457.89919311061112.2413582867275
0.52460.24567481963112.2068776831293
0.53462.58698922729812.1512579910072
0.54464.92156319793612.083974580355
0.55467.24949459484112.0166049932776
0.56469.5728320891611.9593938942952
0.57471.89568082615211.9236325795693
0.58474.22415537936911.9192499987573
0.59476.56621907660911.9549295599118
0.6478.93144848938412.0370569006077
0.61481.33074631444512.1707675841762
0.62483.77600245876812.3595757599934
0.63486.27968144861612.6052903704263
0.64488.85430335090612.9050907915424
0.65491.51179141514413.2553270382086
0.66494.2626842883213.6451195584363
0.67497.1152500776714.0613636272406
0.68500.07458433610814.4847672241678
0.69503.14181068272714.8914911764677
0.7506.3135168282815.2576111074302
0.71509.58153980591715.5580288971927
0.72512.93316086004515.7714794433866
0.73516.35169362061415.8817317948167
0.74519.81737086202815.8779145279535
0.75523.30838172394915.7570129622195
0.76526.80190282818415.5196107076895
0.77530.27500627982115.1736536832723
0.78533.705396246514.7250102384275
0.79537.07198885483314.1846356553667
0.8540.35537369333913.5628847664304
0.81543.53816803102612.8729059275812
0.82546.60522244897212.1290462495065
0.83549.54361511417911.344447218639
0.84552.34243715214110.5331451243738
0.85554.992533310239.70465894866334
0.86557.4865512327258.86660569528924
0.87559.8197329237888.027039914707
0.88561.9917215703097.19921727269986
0.89564.0092341672246.40651224212441
0.9565.8889216995825.68260515480211
0.91567.6593857655235.06495613086632
0.92569.3613619578014.58423558714285
0.93571.0454850139714.2533929086398
0.94572.7676360550074.05711457079326
0.95574.5827094523573.95064339529375
0.96576.5382543952143.86021079628837
0.97578.6632597423643.70026372178088
0.98580.917771741683.4512145970418
0.99583.0396959639543.2891651245884


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')