FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 03 Mar 2015 13:56:33 +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/2015/Mar/03/t1425391035ps2u74q52j0kbzy.htm/, Retrieved Thu, 10 Sep 2026 07:21:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277853, Retrieved Thu, 10 Sep 2026 07:21:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact480

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] [Percetielen prijs...] [2015-03-03 13:56:33] [1689e0541609f8eb663ad6752b966f5b] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
498.10
498.76
498.88
498.88
498.88
498.88
499.48
501.21
502.05
502.05
502.05
504.10
506.81
516.88
520.43
520.68
520.68
520.68
521.03
521.25
521.25
521.25
521.65
521.65
522.77
518.72
519.27
519.38
521.29
521.29
521.29
523.47
523.86
524.14
524.14
524.14
534.60
534.99
535.39
535.39
535.39
535.39
535.39
535.64
536.08
537.80
537.80
537.80
537.85
544.39
545.15
544.65
544.65
544.65
545.73
548.94
550.94
551.22
551.22
551.22
553.12
565.37
566.73
566.73
566.78
566.78
566.78
566.78
566.93
566.93
566.93
566.93
574.38
574.40
574.40
574.40
574.40
574.40
574.50
574.50
574.67
574.66
574.66
574.94
576.10
583.38
584.15
584.15
584.15
584.15
585.14
585.14
585.67
586.49
586.81
586.85

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277853&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277853&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277853&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01498.3505350739280.456881843641365
0.02498.6402466043810.267268361719601
0.03498.8611350991820.288694571672311
0.04499.0804340383250.54630248346619
0.05499.3950813649510.957985751679427
0.06499.8698137927931.47287681580641
0.07500.5401994156952.08701576551999
0.08501.4315899363242.84219383078849
0.09502.5708363020043.76808845415326
0.1503.9808604649754.810092041331
0.11505.6614997262795.81762182564396
0.12507.570631364536.59414066230253
0.13509.6196488913196.97375978702831
0.14511.6879267584626.88217310378042
0.15513.6498225272486.35746746230628
0.16515.4021714396395.52316810776782
0.17516.8820118516184.54102651113018
0.18518.0705314273483.56115457584354
0.19518.9855212600862.69181921033764
0.2519.6680124836491.98801375777367
0.21520.1687780356431.46450207033773
0.22520.5382921120451.10873936761377
0.23520.8212369912060.899273860931268
0.24521.0548585561780.81494778270409
0.25521.2697170808520.841375037200255
0.26521.4914194405170.965792044655736
0.27521.7423343814041.17950862188008
0.28522.0427488813211.47770942755662
0.29522.4112591348781.85676988562649
0.3522.864387440242.30664283095996
0.31523.4155330640762.81342303535091
0.32524.0734650685723.34986526521289
0.33524.8406771989293.88579714925563
0.34525.7120299845834.37937277652036
0.35526.6741490806464.78900218348888
0.36527.7059751595995.07752335856008
0.37528.7806473907345.22205778700327
0.38529.8685849359465.21445060777068
0.39530.9412971249525.06960519860511
0.4531.9752128752424.81819950506281
0.41532.9547605262854.50884339865645
0.42533.8740783829644.19315593192143
0.43534.7370511735343.92437825980551
0.44535.5557529495243.74266682451925
0.45536.3477218296453.67007150013555
0.46537.1327086559113.70736108191427
0.47537.9295896636473.83727667446263
0.48538.7540229401224.03004874029433
0.49539.6172070184834.25668342812351
0.5540.5258306474724.49411655953667
0.51541.4830459144264.72668587783304
0.52542.4900982707774.95268089669536
0.53543.5481337816965.17764664410413
0.54544.65968577165.41545309857212
0.55545.8294159466525.68187850088958
0.56547.0638357590775.98967478110804
0.57548.3699429339166.33845545369021
0.58549.7529507823416.71549724414599
0.59551.2135308214667.08998469392553
0.6552.7451870908617.41949179900744
0.61554.3324777400627.65498393627803
0.62555.9507414836867.74935706049843
0.63557.5677423059167.66758175354513
0.64559.1472327309527.39582579502968
0.65560.6539339223796.94819742939465
0.66562.0589724273926.36595490585473
0.67563.3445475531635.71085914625227
0.68564.5066437670495.05678808462059
0.69565.5549808228644.47660462237009
0.7566.5100390327344.02540737767941
0.71567.3977469783583.72858976244968
0.72568.2430664560613.56806746664892
0.73569.0640602156443.49291724043343
0.74569.8679600913943.4338137277253
0.75570.6502612350133.33085005811779
0.76571.3970799362393.14304901625536
0.77572.0901627840512.86068135978147
0.78572.7132924778932.50357448692995
0.79573.2585957997672.1147061221586
0.8573.7314444235021.75267084638333
0.81574.1530685175911.48797850711672
0.82574.5603815790211.3942930082569
0.83575.0026355358711.52725615099293
0.84575.5344875129681.88333696709386
0.85576.2053315559332.40096168291538
0.86577.0459030536122.9795525329941
0.87578.0552959950723.49058754162144
0.88579.1936940592443.7981040410493
0.89580.3863836830083.80174812331354
0.9581.5412800444393.47932053387885
0.91582.5756498357862.90650654882305
0.92583.4414521198172.23150222581924
0.93584.1375883113321.61835406963726
0.94584.7032744930331.18234076549366
0.95585.1957295098350.948349486432812
0.96585.6607911845620.844830146877839
0.97586.1061659700020.745441111570257
0.98586.490734176010.544597199011973
0.99586.7486194581390.249867295298439

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 498.350535073928 & 0.456881843641365 \tabularnewline
0.02 & 498.640246604381 & 0.267268361719601 \tabularnewline
0.03 & 498.861135099182 & 0.288694571672311 \tabularnewline
0.04 & 499.080434038325 & 0.54630248346619 \tabularnewline
0.05 & 499.395081364951 & 0.957985751679427 \tabularnewline
0.06 & 499.869813792793 & 1.47287681580641 \tabularnewline
0.07 & 500.540199415695 & 2.08701576551999 \tabularnewline
0.08 & 501.431589936324 & 2.84219383078849 \tabularnewline
0.09 & 502.570836302004 & 3.76808845415326 \tabularnewline
0.1 & 503.980860464975 & 4.810092041331 \tabularnewline
0.11 & 505.661499726279 & 5.81762182564396 \tabularnewline
0.12 & 507.57063136453 & 6.59414066230253 \tabularnewline
0.13 & 509.619648891319 & 6.97375978702831 \tabularnewline
0.14 & 511.687926758462 & 6.88217310378042 \tabularnewline
0.15 & 513.649822527248 & 6.35746746230628 \tabularnewline
0.16 & 515.402171439639 & 5.52316810776782 \tabularnewline
0.17 & 516.882011851618 & 4.54102651113018 \tabularnewline
0.18 & 518.070531427348 & 3.56115457584354 \tabularnewline
0.19 & 518.985521260086 & 2.69181921033764 \tabularnewline
0.2 & 519.668012483649 & 1.98801375777367 \tabularnewline
0.21 & 520.168778035643 & 1.46450207033773 \tabularnewline
0.22 & 520.538292112045 & 1.10873936761377 \tabularnewline
0.23 & 520.821236991206 & 0.899273860931268 \tabularnewline
0.24 & 521.054858556178 & 0.81494778270409 \tabularnewline
0.25 & 521.269717080852 & 0.841375037200255 \tabularnewline
0.26 & 521.491419440517 & 0.965792044655736 \tabularnewline
0.27 & 521.742334381404 & 1.17950862188008 \tabularnewline
0.28 & 522.042748881321 & 1.47770942755662 \tabularnewline
0.29 & 522.411259134878 & 1.85676988562649 \tabularnewline
0.3 & 522.86438744024 & 2.30664283095996 \tabularnewline
0.31 & 523.415533064076 & 2.81342303535091 \tabularnewline
0.32 & 524.073465068572 & 3.34986526521289 \tabularnewline
0.33 & 524.840677198929 & 3.88579714925563 \tabularnewline
0.34 & 525.712029984583 & 4.37937277652036 \tabularnewline
0.35 & 526.674149080646 & 4.78900218348888 \tabularnewline
0.36 & 527.705975159599 & 5.07752335856008 \tabularnewline
0.37 & 528.780647390734 & 5.22205778700327 \tabularnewline
0.38 & 529.868584935946 & 5.21445060777068 \tabularnewline
0.39 & 530.941297124952 & 5.06960519860511 \tabularnewline
0.4 & 531.975212875242 & 4.81819950506281 \tabularnewline
0.41 & 532.954760526285 & 4.50884339865645 \tabularnewline
0.42 & 533.874078382964 & 4.19315593192143 \tabularnewline
0.43 & 534.737051173534 & 3.92437825980551 \tabularnewline
0.44 & 535.555752949524 & 3.74266682451925 \tabularnewline
0.45 & 536.347721829645 & 3.67007150013555 \tabularnewline
0.46 & 537.132708655911 & 3.70736108191427 \tabularnewline
0.47 & 537.929589663647 & 3.83727667446263 \tabularnewline
0.48 & 538.754022940122 & 4.03004874029433 \tabularnewline
0.49 & 539.617207018483 & 4.25668342812351 \tabularnewline
0.5 & 540.525830647472 & 4.49411655953667 \tabularnewline
0.51 & 541.483045914426 & 4.72668587783304 \tabularnewline
0.52 & 542.490098270777 & 4.95268089669536 \tabularnewline
0.53 & 543.548133781696 & 5.17764664410413 \tabularnewline
0.54 & 544.6596857716 & 5.41545309857212 \tabularnewline
0.55 & 545.829415946652 & 5.68187850088958 \tabularnewline
0.56 & 547.063835759077 & 5.98967478110804 \tabularnewline
0.57 & 548.369942933916 & 6.33845545369021 \tabularnewline
0.58 & 549.752950782341 & 6.71549724414599 \tabularnewline
0.59 & 551.213530821466 & 7.08998469392553 \tabularnewline
0.6 & 552.745187090861 & 7.41949179900744 \tabularnewline
0.61 & 554.332477740062 & 7.65498393627803 \tabularnewline
0.62 & 555.950741483686 & 7.74935706049843 \tabularnewline
0.63 & 557.567742305916 & 7.66758175354513 \tabularnewline
0.64 & 559.147232730952 & 7.39582579502968 \tabularnewline
0.65 & 560.653933922379 & 6.94819742939465 \tabularnewline
0.66 & 562.058972427392 & 6.36595490585473 \tabularnewline
0.67 & 563.344547553163 & 5.71085914625227 \tabularnewline
0.68 & 564.506643767049 & 5.05678808462059 \tabularnewline
0.69 & 565.554980822864 & 4.47660462237009 \tabularnewline
0.7 & 566.510039032734 & 4.02540737767941 \tabularnewline
0.71 & 567.397746978358 & 3.72858976244968 \tabularnewline
0.72 & 568.243066456061 & 3.56806746664892 \tabularnewline
0.73 & 569.064060215644 & 3.49291724043343 \tabularnewline
0.74 & 569.867960091394 & 3.4338137277253 \tabularnewline
0.75 & 570.650261235013 & 3.33085005811779 \tabularnewline
0.76 & 571.397079936239 & 3.14304901625536 \tabularnewline
0.77 & 572.090162784051 & 2.86068135978147 \tabularnewline
0.78 & 572.713292477893 & 2.50357448692995 \tabularnewline
0.79 & 573.258595799767 & 2.1147061221586 \tabularnewline
0.8 & 573.731444423502 & 1.75267084638333 \tabularnewline
0.81 & 574.153068517591 & 1.48797850711672 \tabularnewline
0.82 & 574.560381579021 & 1.3942930082569 \tabularnewline
0.83 & 575.002635535871 & 1.52725615099293 \tabularnewline
0.84 & 575.534487512968 & 1.88333696709386 \tabularnewline
0.85 & 576.205331555933 & 2.40096168291538 \tabularnewline
0.86 & 577.045903053612 & 2.9795525329941 \tabularnewline
0.87 & 578.055295995072 & 3.49058754162144 \tabularnewline
0.88 & 579.193694059244 & 3.7981040410493 \tabularnewline
0.89 & 580.386383683008 & 3.80174812331354 \tabularnewline
0.9 & 581.541280044439 & 3.47932053387885 \tabularnewline
0.91 & 582.575649835786 & 2.90650654882305 \tabularnewline
0.92 & 583.441452119817 & 2.23150222581924 \tabularnewline
0.93 & 584.137588311332 & 1.61835406963726 \tabularnewline
0.94 & 584.703274493033 & 1.18234076549366 \tabularnewline
0.95 & 585.195729509835 & 0.948349486432812 \tabularnewline
0.96 & 585.660791184562 & 0.844830146877839 \tabularnewline
0.97 & 586.106165970002 & 0.745441111570257 \tabularnewline
0.98 & 586.49073417601 & 0.544597199011973 \tabularnewline
0.99 & 586.748619458139 & 0.249867295298439 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277853&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]498.350535073928[/C][C]0.456881843641365[/C][/ROW]
[ROW][C]0.02[/C][C]498.640246604381[/C][C]0.267268361719601[/C][/ROW]
[ROW][C]0.03[/C][C]498.861135099182[/C][C]0.288694571672311[/C][/ROW]
[ROW][C]0.04[/C][C]499.080434038325[/C][C]0.54630248346619[/C][/ROW]
[ROW][C]0.05[/C][C]499.395081364951[/C][C]0.957985751679427[/C][/ROW]
[ROW][C]0.06[/C][C]499.869813792793[/C][C]1.47287681580641[/C][/ROW]
[ROW][C]0.07[/C][C]500.540199415695[/C][C]2.08701576551999[/C][/ROW]
[ROW][C]0.08[/C][C]501.431589936324[/C][C]2.84219383078849[/C][/ROW]
[ROW][C]0.09[/C][C]502.570836302004[/C][C]3.76808845415326[/C][/ROW]
[ROW][C]0.1[/C][C]503.980860464975[/C][C]4.810092041331[/C][/ROW]
[ROW][C]0.11[/C][C]505.661499726279[/C][C]5.81762182564396[/C][/ROW]
[ROW][C]0.12[/C][C]507.57063136453[/C][C]6.59414066230253[/C][/ROW]
[ROW][C]0.13[/C][C]509.619648891319[/C][C]6.97375978702831[/C][/ROW]
[ROW][C]0.14[/C][C]511.687926758462[/C][C]6.88217310378042[/C][/ROW]
[ROW][C]0.15[/C][C]513.649822527248[/C][C]6.35746746230628[/C][/ROW]
[ROW][C]0.16[/C][C]515.402171439639[/C][C]5.52316810776782[/C][/ROW]
[ROW][C]0.17[/C][C]516.882011851618[/C][C]4.54102651113018[/C][/ROW]
[ROW][C]0.18[/C][C]518.070531427348[/C][C]3.56115457584354[/C][/ROW]
[ROW][C]0.19[/C][C]518.985521260086[/C][C]2.69181921033764[/C][/ROW]
[ROW][C]0.2[/C][C]519.668012483649[/C][C]1.98801375777367[/C][/ROW]
[ROW][C]0.21[/C][C]520.168778035643[/C][C]1.46450207033773[/C][/ROW]
[ROW][C]0.22[/C][C]520.538292112045[/C][C]1.10873936761377[/C][/ROW]
[ROW][C]0.23[/C][C]520.821236991206[/C][C]0.899273860931268[/C][/ROW]
[ROW][C]0.24[/C][C]521.054858556178[/C][C]0.81494778270409[/C][/ROW]
[ROW][C]0.25[/C][C]521.269717080852[/C][C]0.841375037200255[/C][/ROW]
[ROW][C]0.26[/C][C]521.491419440517[/C][C]0.965792044655736[/C][/ROW]
[ROW][C]0.27[/C][C]521.742334381404[/C][C]1.17950862188008[/C][/ROW]
[ROW][C]0.28[/C][C]522.042748881321[/C][C]1.47770942755662[/C][/ROW]
[ROW][C]0.29[/C][C]522.411259134878[/C][C]1.85676988562649[/C][/ROW]
[ROW][C]0.3[/C][C]522.86438744024[/C][C]2.30664283095996[/C][/ROW]
[ROW][C]0.31[/C][C]523.415533064076[/C][C]2.81342303535091[/C][/ROW]
[ROW][C]0.32[/C][C]524.073465068572[/C][C]3.34986526521289[/C][/ROW]
[ROW][C]0.33[/C][C]524.840677198929[/C][C]3.88579714925563[/C][/ROW]
[ROW][C]0.34[/C][C]525.712029984583[/C][C]4.37937277652036[/C][/ROW]
[ROW][C]0.35[/C][C]526.674149080646[/C][C]4.78900218348888[/C][/ROW]
[ROW][C]0.36[/C][C]527.705975159599[/C][C]5.07752335856008[/C][/ROW]
[ROW][C]0.37[/C][C]528.780647390734[/C][C]5.22205778700327[/C][/ROW]
[ROW][C]0.38[/C][C]529.868584935946[/C][C]5.21445060777068[/C][/ROW]
[ROW][C]0.39[/C][C]530.941297124952[/C][C]5.06960519860511[/C][/ROW]
[ROW][C]0.4[/C][C]531.975212875242[/C][C]4.81819950506281[/C][/ROW]
[ROW][C]0.41[/C][C]532.954760526285[/C][C]4.50884339865645[/C][/ROW]
[ROW][C]0.42[/C][C]533.874078382964[/C][C]4.19315593192143[/C][/ROW]
[ROW][C]0.43[/C][C]534.737051173534[/C][C]3.92437825980551[/C][/ROW]
[ROW][C]0.44[/C][C]535.555752949524[/C][C]3.74266682451925[/C][/ROW]
[ROW][C]0.45[/C][C]536.347721829645[/C][C]3.67007150013555[/C][/ROW]
[ROW][C]0.46[/C][C]537.132708655911[/C][C]3.70736108191427[/C][/ROW]
[ROW][C]0.47[/C][C]537.929589663647[/C][C]3.83727667446263[/C][/ROW]
[ROW][C]0.48[/C][C]538.754022940122[/C][C]4.03004874029433[/C][/ROW]
[ROW][C]0.49[/C][C]539.617207018483[/C][C]4.25668342812351[/C][/ROW]
[ROW][C]0.5[/C][C]540.525830647472[/C][C]4.49411655953667[/C][/ROW]
[ROW][C]0.51[/C][C]541.483045914426[/C][C]4.72668587783304[/C][/ROW]
[ROW][C]0.52[/C][C]542.490098270777[/C][C]4.95268089669536[/C][/ROW]
[ROW][C]0.53[/C][C]543.548133781696[/C][C]5.17764664410413[/C][/ROW]
[ROW][C]0.54[/C][C]544.6596857716[/C][C]5.41545309857212[/C][/ROW]
[ROW][C]0.55[/C][C]545.829415946652[/C][C]5.68187850088958[/C][/ROW]
[ROW][C]0.56[/C][C]547.063835759077[/C][C]5.98967478110804[/C][/ROW]
[ROW][C]0.57[/C][C]548.369942933916[/C][C]6.33845545369021[/C][/ROW]
[ROW][C]0.58[/C][C]549.752950782341[/C][C]6.71549724414599[/C][/ROW]
[ROW][C]0.59[/C][C]551.213530821466[/C][C]7.08998469392553[/C][/ROW]
[ROW][C]0.6[/C][C]552.745187090861[/C][C]7.41949179900744[/C][/ROW]
[ROW][C]0.61[/C][C]554.332477740062[/C][C]7.65498393627803[/C][/ROW]
[ROW][C]0.62[/C][C]555.950741483686[/C][C]7.74935706049843[/C][/ROW]
[ROW][C]0.63[/C][C]557.567742305916[/C][C]7.66758175354513[/C][/ROW]
[ROW][C]0.64[/C][C]559.147232730952[/C][C]7.39582579502968[/C][/ROW]
[ROW][C]0.65[/C][C]560.653933922379[/C][C]6.94819742939465[/C][/ROW]
[ROW][C]0.66[/C][C]562.058972427392[/C][C]6.36595490585473[/C][/ROW]
[ROW][C]0.67[/C][C]563.344547553163[/C][C]5.71085914625227[/C][/ROW]
[ROW][C]0.68[/C][C]564.506643767049[/C][C]5.05678808462059[/C][/ROW]
[ROW][C]0.69[/C][C]565.554980822864[/C][C]4.47660462237009[/C][/ROW]
[ROW][C]0.7[/C][C]566.510039032734[/C][C]4.02540737767941[/C][/ROW]
[ROW][C]0.71[/C][C]567.397746978358[/C][C]3.72858976244968[/C][/ROW]
[ROW][C]0.72[/C][C]568.243066456061[/C][C]3.56806746664892[/C][/ROW]
[ROW][C]0.73[/C][C]569.064060215644[/C][C]3.49291724043343[/C][/ROW]
[ROW][C]0.74[/C][C]569.867960091394[/C][C]3.4338137277253[/C][/ROW]
[ROW][C]0.75[/C][C]570.650261235013[/C][C]3.33085005811779[/C][/ROW]
[ROW][C]0.76[/C][C]571.397079936239[/C][C]3.14304901625536[/C][/ROW]
[ROW][C]0.77[/C][C]572.090162784051[/C][C]2.86068135978147[/C][/ROW]
[ROW][C]0.78[/C][C]572.713292477893[/C][C]2.50357448692995[/C][/ROW]
[ROW][C]0.79[/C][C]573.258595799767[/C][C]2.1147061221586[/C][/ROW]
[ROW][C]0.8[/C][C]573.731444423502[/C][C]1.75267084638333[/C][/ROW]
[ROW][C]0.81[/C][C]574.153068517591[/C][C]1.48797850711672[/C][/ROW]
[ROW][C]0.82[/C][C]574.560381579021[/C][C]1.3942930082569[/C][/ROW]
[ROW][C]0.83[/C][C]575.002635535871[/C][C]1.52725615099293[/C][/ROW]
[ROW][C]0.84[/C][C]575.534487512968[/C][C]1.88333696709386[/C][/ROW]
[ROW][C]0.85[/C][C]576.205331555933[/C][C]2.40096168291538[/C][/ROW]
[ROW][C]0.86[/C][C]577.045903053612[/C][C]2.9795525329941[/C][/ROW]
[ROW][C]0.87[/C][C]578.055295995072[/C][C]3.49058754162144[/C][/ROW]
[ROW][C]0.88[/C][C]579.193694059244[/C][C]3.7981040410493[/C][/ROW]
[ROW][C]0.89[/C][C]580.386383683008[/C][C]3.80174812331354[/C][/ROW]
[ROW][C]0.9[/C][C]581.541280044439[/C][C]3.47932053387885[/C][/ROW]
[ROW][C]0.91[/C][C]582.575649835786[/C][C]2.90650654882305[/C][/ROW]
[ROW][C]0.92[/C][C]583.441452119817[/C][C]2.23150222581924[/C][/ROW]
[ROW][C]0.93[/C][C]584.137588311332[/C][C]1.61835406963726[/C][/ROW]
[ROW][C]0.94[/C][C]584.703274493033[/C][C]1.18234076549366[/C][/ROW]
[ROW][C]0.95[/C][C]585.195729509835[/C][C]0.948349486432812[/C][/ROW]
[ROW][C]0.96[/C][C]585.660791184562[/C][C]0.844830146877839[/C][/ROW]
[ROW][C]0.97[/C][C]586.106165970002[/C][C]0.745441111570257[/C][/ROW]
[ROW][C]0.98[/C][C]586.49073417601[/C][C]0.544597199011973[/C][/ROW]
[ROW][C]0.99[/C][C]586.748619458139[/C][C]0.249867295298439[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277853&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277853&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
0.01498.3505350739280.456881843641365
0.02498.6402466043810.267268361719601
0.03498.8611350991820.288694571672311
0.04499.0804340383250.54630248346619
0.05499.3950813649510.957985751679427
0.06499.8698137927931.47287681580641
0.07500.5401994156952.08701576551999
0.08501.4315899363242.84219383078849
0.09502.5708363020043.76808845415326
0.1503.9808604649754.810092041331
0.11505.6614997262795.81762182564396
0.12507.570631364536.59414066230253
0.13509.6196488913196.97375978702831
0.14511.6879267584626.88217310378042
0.15513.6498225272486.35746746230628
0.16515.4021714396395.52316810776782
0.17516.8820118516184.54102651113018
0.18518.0705314273483.56115457584354
0.19518.9855212600862.69181921033764
0.2519.6680124836491.98801375777367
0.21520.1687780356431.46450207033773
0.22520.5382921120451.10873936761377
0.23520.8212369912060.899273860931268
0.24521.0548585561780.81494778270409
0.25521.2697170808520.841375037200255
0.26521.4914194405170.965792044655736
0.27521.7423343814041.17950862188008
0.28522.0427488813211.47770942755662
0.29522.4112591348781.85676988562649
0.3522.864387440242.30664283095996
0.31523.4155330640762.81342303535091
0.32524.0734650685723.34986526521289
0.33524.8406771989293.88579714925563
0.34525.7120299845834.37937277652036
0.35526.6741490806464.78900218348888
0.36527.7059751595995.07752335856008
0.37528.7806473907345.22205778700327
0.38529.8685849359465.21445060777068
0.39530.9412971249525.06960519860511
0.4531.9752128752424.81819950506281
0.41532.9547605262854.50884339865645
0.42533.8740783829644.19315593192143
0.43534.7370511735343.92437825980551
0.44535.5557529495243.74266682451925
0.45536.3477218296453.67007150013555
0.46537.1327086559113.70736108191427
0.47537.9295896636473.83727667446263
0.48538.7540229401224.03004874029433
0.49539.6172070184834.25668342812351
0.5540.5258306474724.49411655953667
0.51541.4830459144264.72668587783304
0.52542.4900982707774.95268089669536
0.53543.5481337816965.17764664410413
0.54544.65968577165.41545309857212
0.55545.8294159466525.68187850088958
0.56547.0638357590775.98967478110804
0.57548.3699429339166.33845545369021
0.58549.7529507823416.71549724414599
0.59551.2135308214667.08998469392553
0.6552.7451870908617.41949179900744
0.61554.3324777400627.65498393627803
0.62555.9507414836867.74935706049843
0.63557.5677423059167.66758175354513
0.64559.1472327309527.39582579502968
0.65560.6539339223796.94819742939465
0.66562.0589724273926.36595490585473
0.67563.3445475531635.71085914625227
0.68564.5066437670495.05678808462059
0.69565.5549808228644.47660462237009
0.7566.5100390327344.02540737767941
0.71567.3977469783583.72858976244968
0.72568.2430664560613.56806746664892
0.73569.0640602156443.49291724043343
0.74569.8679600913943.4338137277253
0.75570.6502612350133.33085005811779
0.76571.3970799362393.14304901625536
0.77572.0901627840512.86068135978147
0.78572.7132924778932.50357448692995
0.79573.2585957997672.1147061221586
0.8573.7314444235021.75267084638333
0.81574.1530685175911.48797850711672
0.82574.5603815790211.3942930082569
0.83575.0026355358711.52725615099293
0.84575.5344875129681.88333696709386
0.85576.2053315559332.40096168291538
0.86577.0459030536122.9795525329941
0.87578.0552959950723.49058754162144
0.88579.1936940592443.7981040410493
0.89580.3863836830083.80174812331354
0.9581.5412800444393.47932053387885
0.91582.5756498357862.90650654882305
0.92583.4414521198172.23150222581924
0.93584.1375883113321.61835406963726
0.94584.7032744930331.18234076549366
0.95585.1957295098350.948349486432812
0.96585.6607911845620.844830146877839
0.97586.1061659700020.745441111570257
0.98586.490734176010.544597199011973
0.99586.7486194581390.249867295298439


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')