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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 16 Jan 2008 04:18:05 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Jan/16/t1200482030hgjo5j5n178itp0.htm/, Retrieved Wed, 15 May 2024 11:02:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7979, Retrieved Wed, 15 May 2024 11:02:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact282

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] [] [2008-01-16 11:18:05] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
281
295
294
302
314
321
313
310
319
316
319
333
356
358
340
328
355
356
351
359
378
378
389.
407
413
404
406
402
383
392
398
400
405
420
439
441
424
423
434
429
421
430
424
437
456
469
476
510
549
554
557
610
675
596
633
632
596
585
627
629

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7979&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7979&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7979&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01283.81775643358010.8142114016033
0.02287.8614177779698.57636548647157
0.03292.0197049143707.31037221478982
0.04295.7909140439097.21116363924242
0.05299.1397061070507.57066179015154
0.06302.1685685247097.7762798724087
0.07304.9449704161457.63615343945926
0.08307.4830796520867.22550767075472
0.09309.7826016047646.72686974345757
0.1311.8612391900906.32833572105536
0.11313.7644019271226.1724921778731
0.12315.5587273040896.33264383033211
0.13317.3196636894526.81437585045022
0.14319.1197020005337.57349915008707
0.15321.019787618188.54021180506758
0.16323.0641176457019.62985870827895
0.17325.27775244918610.7540856262541
0.18327.66648748751511.8268428817167
0.19330.21863056131312.7723313518329
0.2332.90840937125713.532853564246
0.21335.70064258955214.0760986384104
0.22338.55612617388514.398802072989
0.23341.43703105090314.5256501868967
0.24344.31156636680314.5056638620992
0.25347.1572689388614.4034619854945
0.26349.96251676996214.2887664753678
0.27352.72617795169614.2222663623093
0.28355.45562508039414.2473521156266
0.29358.1636022089414.3797927150169
0.3360.86457843239314.6087120344216
0.31363.57123987987214.9000985082035
0.32366.29167036219115.2065060838003
0.33369.02758452601815.4768504363092
0.34371.77375380302515.6656746111405
0.35374.51855318684915.7371642826577
0.36377.24539403191615.6702448752161
0.37379.93471546993515.4580934540802
0.38382.56618669568915.1068328063204
0.39385.12081090486614.6352474447281
0.4387.58269688826614.0691289754238
0.41389.94035259738213.4400725627601
0.42392.1874374100912.7828263230612
0.43394.32297528694612.1306433033402
0.44396.35107668027011.5153407279565
0.45398.28024619149210.9637147042023
0.46400.12237154857210.4964163831254
0.47401.89150290072310.1246913466202
0.48403.6025422948599.85129182471438
0.49405.2699706169229.66857139598238
0.5406.9067397314829.56181338511758
0.51408.523446769839.5098025132139
0.52410.1278826731039.48903325664526
0.53411.7250085357669.4777582313186
0.54413.3173652404709.45815093901704
0.55414.9058718766419.42114748270866
0.56416.4909256597379.36526775034197
0.57418.0736889051969.2985204572006
0.58419.6574422486829.23939409013530
0.59421.2488979859839.2124918454696
0.6422.8593979097899.24986860525916
0.61424.505956588929.38855910166521
0.62426.2121415930459.66864285971686
0.63428.00879531528410.1328339482976
0.64429.9345911249610.8237942015678
0.65432.03637808341311.7843452303876
0.66434.36920928612313.0552770960272
0.67436.9958823013214.6715476443943
0.68439.98576536667016.6589278562009
0.69443.41266261622319.0286594722833
0.7447.35150803487221.7702298968857
0.71451.87378830722624.8464674002385
0.72457.04178509610228.1860228607228
0.73462.90198517419931.6820677135320
0.74469.47829605275435.1921455333213
0.75476.76596437693338.54426493547
0.76484.72724636957941.5503411891109
0.77493.2898474286844.0216648360627
0.78502.34888378498445.7942875848849
0.79511.77263134085946.7478037940635
0.8521.41169420037346.824741255219
0.81531.11058443854446.0394048237766
0.82540.72020679785644.4756948296297
0.83550.10949510624342.2762461062001
0.84559.17447292844739.6215534840756
0.85567.8432531216736.7041453428767
0.86576.07588757355933.7045014527800
0.87583.85856410772130.7698342247755
0.88591.19261118549627.9913917699549
0.89598.08039816272825.3858171631110
0.9604.51272887918922.8903726482437
0.91610.46570890093620.3848889123315
0.92615.91891716924817.7562834447506
0.93620.9094558157714.9998773403265
0.94625.63239074861612.3478958028375
0.95630.57161521874110.4996707921370
0.96636.56997900392710.9851329941356
0.97644.61945417247815.4115883183555
0.98655.09249832485623.6539352400007
0.99666.50184216362633.6215792120041

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 283.817756433580 & 10.8142114016033 \tabularnewline
0.02 & 287.861417777969 & 8.57636548647157 \tabularnewline
0.03 & 292.019704914370 & 7.31037221478982 \tabularnewline
0.04 & 295.790914043909 & 7.21116363924242 \tabularnewline
0.05 & 299.139706107050 & 7.57066179015154 \tabularnewline
0.06 & 302.168568524709 & 7.7762798724087 \tabularnewline
0.07 & 304.944970416145 & 7.63615343945926 \tabularnewline
0.08 & 307.483079652086 & 7.22550767075472 \tabularnewline
0.09 & 309.782601604764 & 6.72686974345757 \tabularnewline
0.1 & 311.861239190090 & 6.32833572105536 \tabularnewline
0.11 & 313.764401927122 & 6.1724921778731 \tabularnewline
0.12 & 315.558727304089 & 6.33264383033211 \tabularnewline
0.13 & 317.319663689452 & 6.81437585045022 \tabularnewline
0.14 & 319.119702000533 & 7.57349915008707 \tabularnewline
0.15 & 321.01978761818 & 8.54021180506758 \tabularnewline
0.16 & 323.064117645701 & 9.62985870827895 \tabularnewline
0.17 & 325.277752449186 & 10.7540856262541 \tabularnewline
0.18 & 327.666487487515 & 11.8268428817167 \tabularnewline
0.19 & 330.218630561313 & 12.7723313518329 \tabularnewline
0.2 & 332.908409371257 & 13.532853564246 \tabularnewline
0.21 & 335.700642589552 & 14.0760986384104 \tabularnewline
0.22 & 338.556126173885 & 14.398802072989 \tabularnewline
0.23 & 341.437031050903 & 14.5256501868967 \tabularnewline
0.24 & 344.311566366803 & 14.5056638620992 \tabularnewline
0.25 & 347.15726893886 & 14.4034619854945 \tabularnewline
0.26 & 349.962516769962 & 14.2887664753678 \tabularnewline
0.27 & 352.726177951696 & 14.2222663623093 \tabularnewline
0.28 & 355.455625080394 & 14.2473521156266 \tabularnewline
0.29 & 358.16360220894 & 14.3797927150169 \tabularnewline
0.3 & 360.864578432393 & 14.6087120344216 \tabularnewline
0.31 & 363.571239879872 & 14.9000985082035 \tabularnewline
0.32 & 366.291670362191 & 15.2065060838003 \tabularnewline
0.33 & 369.027584526018 & 15.4768504363092 \tabularnewline
0.34 & 371.773753803025 & 15.6656746111405 \tabularnewline
0.35 & 374.518553186849 & 15.7371642826577 \tabularnewline
0.36 & 377.245394031916 & 15.6702448752161 \tabularnewline
0.37 & 379.934715469935 & 15.4580934540802 \tabularnewline
0.38 & 382.566186695689 & 15.1068328063204 \tabularnewline
0.39 & 385.120810904866 & 14.6352474447281 \tabularnewline
0.4 & 387.582696888266 & 14.0691289754238 \tabularnewline
0.41 & 389.940352597382 & 13.4400725627601 \tabularnewline
0.42 & 392.18743741009 & 12.7828263230612 \tabularnewline
0.43 & 394.322975286946 & 12.1306433033402 \tabularnewline
0.44 & 396.351076680270 & 11.5153407279565 \tabularnewline
0.45 & 398.280246191492 & 10.9637147042023 \tabularnewline
0.46 & 400.122371548572 & 10.4964163831254 \tabularnewline
0.47 & 401.891502900723 & 10.1246913466202 \tabularnewline
0.48 & 403.602542294859 & 9.85129182471438 \tabularnewline
0.49 & 405.269970616922 & 9.66857139598238 \tabularnewline
0.5 & 406.906739731482 & 9.56181338511758 \tabularnewline
0.51 & 408.52344676983 & 9.5098025132139 \tabularnewline
0.52 & 410.127882673103 & 9.48903325664526 \tabularnewline
0.53 & 411.725008535766 & 9.4777582313186 \tabularnewline
0.54 & 413.317365240470 & 9.45815093901704 \tabularnewline
0.55 & 414.905871876641 & 9.42114748270866 \tabularnewline
0.56 & 416.490925659737 & 9.36526775034197 \tabularnewline
0.57 & 418.073688905196 & 9.2985204572006 \tabularnewline
0.58 & 419.657442248682 & 9.23939409013530 \tabularnewline
0.59 & 421.248897985983 & 9.2124918454696 \tabularnewline
0.6 & 422.859397909789 & 9.24986860525916 \tabularnewline
0.61 & 424.50595658892 & 9.38855910166521 \tabularnewline
0.62 & 426.212141593045 & 9.66864285971686 \tabularnewline
0.63 & 428.008795315284 & 10.1328339482976 \tabularnewline
0.64 & 429.93459112496 & 10.8237942015678 \tabularnewline
0.65 & 432.036378083413 & 11.7843452303876 \tabularnewline
0.66 & 434.369209286123 & 13.0552770960272 \tabularnewline
0.67 & 436.99588230132 & 14.6715476443943 \tabularnewline
0.68 & 439.985765366670 & 16.6589278562009 \tabularnewline
0.69 & 443.412662616223 & 19.0286594722833 \tabularnewline
0.7 & 447.351508034872 & 21.7702298968857 \tabularnewline
0.71 & 451.873788307226 & 24.8464674002385 \tabularnewline
0.72 & 457.041785096102 & 28.1860228607228 \tabularnewline
0.73 & 462.901985174199 & 31.6820677135320 \tabularnewline
0.74 & 469.478296052754 & 35.1921455333213 \tabularnewline
0.75 & 476.765964376933 & 38.54426493547 \tabularnewline
0.76 & 484.727246369579 & 41.5503411891109 \tabularnewline
0.77 & 493.28984742868 & 44.0216648360627 \tabularnewline
0.78 & 502.348883784984 & 45.7942875848849 \tabularnewline
0.79 & 511.772631340859 & 46.7478037940635 \tabularnewline
0.8 & 521.411694200373 & 46.824741255219 \tabularnewline
0.81 & 531.110584438544 & 46.0394048237766 \tabularnewline
0.82 & 540.720206797856 & 44.4756948296297 \tabularnewline
0.83 & 550.109495106243 & 42.2762461062001 \tabularnewline
0.84 & 559.174472928447 & 39.6215534840756 \tabularnewline
0.85 & 567.84325312167 & 36.7041453428767 \tabularnewline
0.86 & 576.075887573559 & 33.7045014527800 \tabularnewline
0.87 & 583.858564107721 & 30.7698342247755 \tabularnewline
0.88 & 591.192611185496 & 27.9913917699549 \tabularnewline
0.89 & 598.080398162728 & 25.3858171631110 \tabularnewline
0.9 & 604.512728879189 & 22.8903726482437 \tabularnewline
0.91 & 610.465708900936 & 20.3848889123315 \tabularnewline
0.92 & 615.918917169248 & 17.7562834447506 \tabularnewline
0.93 & 620.90945581577 & 14.9998773403265 \tabularnewline
0.94 & 625.632390748616 & 12.3478958028375 \tabularnewline
0.95 & 630.571615218741 & 10.4996707921370 \tabularnewline
0.96 & 636.569979003927 & 10.9851329941356 \tabularnewline
0.97 & 644.619454172478 & 15.4115883183555 \tabularnewline
0.98 & 655.092498324856 & 23.6539352400007 \tabularnewline
0.99 & 666.501842163626 & 33.6215792120041 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7979&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]283.817756433580[/C][C]10.8142114016033[/C][/ROW]
[ROW][C]0.02[/C][C]287.861417777969[/C][C]8.57636548647157[/C][/ROW]
[ROW][C]0.03[/C][C]292.019704914370[/C][C]7.31037221478982[/C][/ROW]
[ROW][C]0.04[/C][C]295.790914043909[/C][C]7.21116363924242[/C][/ROW]
[ROW][C]0.05[/C][C]299.139706107050[/C][C]7.57066179015154[/C][/ROW]
[ROW][C]0.06[/C][C]302.168568524709[/C][C]7.7762798724087[/C][/ROW]
[ROW][C]0.07[/C][C]304.944970416145[/C][C]7.63615343945926[/C][/ROW]
[ROW][C]0.08[/C][C]307.483079652086[/C][C]7.22550767075472[/C][/ROW]
[ROW][C]0.09[/C][C]309.782601604764[/C][C]6.72686974345757[/C][/ROW]
[ROW][C]0.1[/C][C]311.861239190090[/C][C]6.32833572105536[/C][/ROW]
[ROW][C]0.11[/C][C]313.764401927122[/C][C]6.1724921778731[/C][/ROW]
[ROW][C]0.12[/C][C]315.558727304089[/C][C]6.33264383033211[/C][/ROW]
[ROW][C]0.13[/C][C]317.319663689452[/C][C]6.81437585045022[/C][/ROW]
[ROW][C]0.14[/C][C]319.119702000533[/C][C]7.57349915008707[/C][/ROW]
[ROW][C]0.15[/C][C]321.01978761818[/C][C]8.54021180506758[/C][/ROW]
[ROW][C]0.16[/C][C]323.064117645701[/C][C]9.62985870827895[/C][/ROW]
[ROW][C]0.17[/C][C]325.277752449186[/C][C]10.7540856262541[/C][/ROW]
[ROW][C]0.18[/C][C]327.666487487515[/C][C]11.8268428817167[/C][/ROW]
[ROW][C]0.19[/C][C]330.218630561313[/C][C]12.7723313518329[/C][/ROW]
[ROW][C]0.2[/C][C]332.908409371257[/C][C]13.532853564246[/C][/ROW]
[ROW][C]0.21[/C][C]335.700642589552[/C][C]14.0760986384104[/C][/ROW]
[ROW][C]0.22[/C][C]338.556126173885[/C][C]14.398802072989[/C][/ROW]
[ROW][C]0.23[/C][C]341.437031050903[/C][C]14.5256501868967[/C][/ROW]
[ROW][C]0.24[/C][C]344.311566366803[/C][C]14.5056638620992[/C][/ROW]
[ROW][C]0.25[/C][C]347.15726893886[/C][C]14.4034619854945[/C][/ROW]
[ROW][C]0.26[/C][C]349.962516769962[/C][C]14.2887664753678[/C][/ROW]
[ROW][C]0.27[/C][C]352.726177951696[/C][C]14.2222663623093[/C][/ROW]
[ROW][C]0.28[/C][C]355.455625080394[/C][C]14.2473521156266[/C][/ROW]
[ROW][C]0.29[/C][C]358.16360220894[/C][C]14.3797927150169[/C][/ROW]
[ROW][C]0.3[/C][C]360.864578432393[/C][C]14.6087120344216[/C][/ROW]
[ROW][C]0.31[/C][C]363.571239879872[/C][C]14.9000985082035[/C][/ROW]
[ROW][C]0.32[/C][C]366.291670362191[/C][C]15.2065060838003[/C][/ROW]
[ROW][C]0.33[/C][C]369.027584526018[/C][C]15.4768504363092[/C][/ROW]
[ROW][C]0.34[/C][C]371.773753803025[/C][C]15.6656746111405[/C][/ROW]
[ROW][C]0.35[/C][C]374.518553186849[/C][C]15.7371642826577[/C][/ROW]
[ROW][C]0.36[/C][C]377.245394031916[/C][C]15.6702448752161[/C][/ROW]
[ROW][C]0.37[/C][C]379.934715469935[/C][C]15.4580934540802[/C][/ROW]
[ROW][C]0.38[/C][C]382.566186695689[/C][C]15.1068328063204[/C][/ROW]
[ROW][C]0.39[/C][C]385.120810904866[/C][C]14.6352474447281[/C][/ROW]
[ROW][C]0.4[/C][C]387.582696888266[/C][C]14.0691289754238[/C][/ROW]
[ROW][C]0.41[/C][C]389.940352597382[/C][C]13.4400725627601[/C][/ROW]
[ROW][C]0.42[/C][C]392.18743741009[/C][C]12.7828263230612[/C][/ROW]
[ROW][C]0.43[/C][C]394.322975286946[/C][C]12.1306433033402[/C][/ROW]
[ROW][C]0.44[/C][C]396.351076680270[/C][C]11.5153407279565[/C][/ROW]
[ROW][C]0.45[/C][C]398.280246191492[/C][C]10.9637147042023[/C][/ROW]
[ROW][C]0.46[/C][C]400.122371548572[/C][C]10.4964163831254[/C][/ROW]
[ROW][C]0.47[/C][C]401.891502900723[/C][C]10.1246913466202[/C][/ROW]
[ROW][C]0.48[/C][C]403.602542294859[/C][C]9.85129182471438[/C][/ROW]
[ROW][C]0.49[/C][C]405.269970616922[/C][C]9.66857139598238[/C][/ROW]
[ROW][C]0.5[/C][C]406.906739731482[/C][C]9.56181338511758[/C][/ROW]
[ROW][C]0.51[/C][C]408.52344676983[/C][C]9.5098025132139[/C][/ROW]
[ROW][C]0.52[/C][C]410.127882673103[/C][C]9.48903325664526[/C][/ROW]
[ROW][C]0.53[/C][C]411.725008535766[/C][C]9.4777582313186[/C][/ROW]
[ROW][C]0.54[/C][C]413.317365240470[/C][C]9.45815093901704[/C][/ROW]
[ROW][C]0.55[/C][C]414.905871876641[/C][C]9.42114748270866[/C][/ROW]
[ROW][C]0.56[/C][C]416.490925659737[/C][C]9.36526775034197[/C][/ROW]
[ROW][C]0.57[/C][C]418.073688905196[/C][C]9.2985204572006[/C][/ROW]
[ROW][C]0.58[/C][C]419.657442248682[/C][C]9.23939409013530[/C][/ROW]
[ROW][C]0.59[/C][C]421.248897985983[/C][C]9.2124918454696[/C][/ROW]
[ROW][C]0.6[/C][C]422.859397909789[/C][C]9.24986860525916[/C][/ROW]
[ROW][C]0.61[/C][C]424.50595658892[/C][C]9.38855910166521[/C][/ROW]
[ROW][C]0.62[/C][C]426.212141593045[/C][C]9.66864285971686[/C][/ROW]
[ROW][C]0.63[/C][C]428.008795315284[/C][C]10.1328339482976[/C][/ROW]
[ROW][C]0.64[/C][C]429.93459112496[/C][C]10.8237942015678[/C][/ROW]
[ROW][C]0.65[/C][C]432.036378083413[/C][C]11.7843452303876[/C][/ROW]
[ROW][C]0.66[/C][C]434.369209286123[/C][C]13.0552770960272[/C][/ROW]
[ROW][C]0.67[/C][C]436.99588230132[/C][C]14.6715476443943[/C][/ROW]
[ROW][C]0.68[/C][C]439.985765366670[/C][C]16.6589278562009[/C][/ROW]
[ROW][C]0.69[/C][C]443.412662616223[/C][C]19.0286594722833[/C][/ROW]
[ROW][C]0.7[/C][C]447.351508034872[/C][C]21.7702298968857[/C][/ROW]
[ROW][C]0.71[/C][C]451.873788307226[/C][C]24.8464674002385[/C][/ROW]
[ROW][C]0.72[/C][C]457.041785096102[/C][C]28.1860228607228[/C][/ROW]
[ROW][C]0.73[/C][C]462.901985174199[/C][C]31.6820677135320[/C][/ROW]
[ROW][C]0.74[/C][C]469.478296052754[/C][C]35.1921455333213[/C][/ROW]
[ROW][C]0.75[/C][C]476.765964376933[/C][C]38.54426493547[/C][/ROW]
[ROW][C]0.76[/C][C]484.727246369579[/C][C]41.5503411891109[/C][/ROW]
[ROW][C]0.77[/C][C]493.28984742868[/C][C]44.0216648360627[/C][/ROW]
[ROW][C]0.78[/C][C]502.348883784984[/C][C]45.7942875848849[/C][/ROW]
[ROW][C]0.79[/C][C]511.772631340859[/C][C]46.7478037940635[/C][/ROW]
[ROW][C]0.8[/C][C]521.411694200373[/C][C]46.824741255219[/C][/ROW]
[ROW][C]0.81[/C][C]531.110584438544[/C][C]46.0394048237766[/C][/ROW]
[ROW][C]0.82[/C][C]540.720206797856[/C][C]44.4756948296297[/C][/ROW]
[ROW][C]0.83[/C][C]550.109495106243[/C][C]42.2762461062001[/C][/ROW]
[ROW][C]0.84[/C][C]559.174472928447[/C][C]39.6215534840756[/C][/ROW]
[ROW][C]0.85[/C][C]567.84325312167[/C][C]36.7041453428767[/C][/ROW]
[ROW][C]0.86[/C][C]576.075887573559[/C][C]33.7045014527800[/C][/ROW]
[ROW][C]0.87[/C][C]583.858564107721[/C][C]30.7698342247755[/C][/ROW]
[ROW][C]0.88[/C][C]591.192611185496[/C][C]27.9913917699549[/C][/ROW]
[ROW][C]0.89[/C][C]598.080398162728[/C][C]25.3858171631110[/C][/ROW]
[ROW][C]0.9[/C][C]604.512728879189[/C][C]22.8903726482437[/C][/ROW]
[ROW][C]0.91[/C][C]610.465708900936[/C][C]20.3848889123315[/C][/ROW]
[ROW][C]0.92[/C][C]615.918917169248[/C][C]17.7562834447506[/C][/ROW]
[ROW][C]0.93[/C][C]620.90945581577[/C][C]14.9998773403265[/C][/ROW]
[ROW][C]0.94[/C][C]625.632390748616[/C][C]12.3478958028375[/C][/ROW]
[ROW][C]0.95[/C][C]630.571615218741[/C][C]10.4996707921370[/C][/ROW]
[ROW][C]0.96[/C][C]636.569979003927[/C][C]10.9851329941356[/C][/ROW]
[ROW][C]0.97[/C][C]644.619454172478[/C][C]15.4115883183555[/C][/ROW]
[ROW][C]0.98[/C][C]655.092498324856[/C][C]23.6539352400007[/C][/ROW]
[ROW][C]0.99[/C][C]666.501842163626[/C][C]33.6215792120041[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7979&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7979&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
0.01283.81775643358010.8142114016033
0.02287.8614177779698.57636548647157
0.03292.0197049143707.31037221478982
0.04295.7909140439097.21116363924242
0.05299.1397061070507.57066179015154
0.06302.1685685247097.7762798724087
0.07304.9449704161457.63615343945926
0.08307.4830796520867.22550767075472
0.09309.7826016047646.72686974345757
0.1311.8612391900906.32833572105536
0.11313.7644019271226.1724921778731
0.12315.5587273040896.33264383033211
0.13317.3196636894526.81437585045022
0.14319.1197020005337.57349915008707
0.15321.019787618188.54021180506758
0.16323.0641176457019.62985870827895
0.17325.27775244918610.7540856262541
0.18327.66648748751511.8268428817167
0.19330.21863056131312.7723313518329
0.2332.90840937125713.532853564246
0.21335.70064258955214.0760986384104
0.22338.55612617388514.398802072989
0.23341.43703105090314.5256501868967
0.24344.31156636680314.5056638620992
0.25347.1572689388614.4034619854945
0.26349.96251676996214.2887664753678
0.27352.72617795169614.2222663623093
0.28355.45562508039414.2473521156266
0.29358.1636022089414.3797927150169
0.3360.86457843239314.6087120344216
0.31363.57123987987214.9000985082035
0.32366.29167036219115.2065060838003
0.33369.02758452601815.4768504363092
0.34371.77375380302515.6656746111405
0.35374.51855318684915.7371642826577
0.36377.24539403191615.6702448752161
0.37379.93471546993515.4580934540802
0.38382.56618669568915.1068328063204
0.39385.12081090486614.6352474447281
0.4387.58269688826614.0691289754238
0.41389.94035259738213.4400725627601
0.42392.1874374100912.7828263230612
0.43394.32297528694612.1306433033402
0.44396.35107668027011.5153407279565
0.45398.28024619149210.9637147042023
0.46400.12237154857210.4964163831254
0.47401.89150290072310.1246913466202
0.48403.6025422948599.85129182471438
0.49405.2699706169229.66857139598238
0.5406.9067397314829.56181338511758
0.51408.523446769839.5098025132139
0.52410.1278826731039.48903325664526
0.53411.7250085357669.4777582313186
0.54413.3173652404709.45815093901704
0.55414.9058718766419.42114748270866
0.56416.4909256597379.36526775034197
0.57418.0736889051969.2985204572006
0.58419.6574422486829.23939409013530
0.59421.2488979859839.2124918454696
0.6422.8593979097899.24986860525916
0.61424.505956588929.38855910166521
0.62426.2121415930459.66864285971686
0.63428.00879531528410.1328339482976
0.64429.9345911249610.8237942015678
0.65432.03637808341311.7843452303876
0.66434.36920928612313.0552770960272
0.67436.9958823013214.6715476443943
0.68439.98576536667016.6589278562009
0.69443.41266261622319.0286594722833
0.7447.35150803487221.7702298968857
0.71451.87378830722624.8464674002385
0.72457.04178509610228.1860228607228
0.73462.90198517419931.6820677135320
0.74469.47829605275435.1921455333213
0.75476.76596437693338.54426493547
0.76484.72724636957941.5503411891109
0.77493.2898474286844.0216648360627
0.78502.34888378498445.7942875848849
0.79511.77263134085946.7478037940635
0.8521.41169420037346.824741255219
0.81531.11058443854446.0394048237766
0.82540.72020679785644.4756948296297
0.83550.10949510624342.2762461062001
0.84559.17447292844739.6215534840756
0.85567.8432531216736.7041453428767
0.86576.07588757355933.7045014527800
0.87583.85856410772130.7698342247755
0.88591.19261118549627.9913917699549
0.89598.08039816272825.3858171631110
0.9604.51272887918922.8903726482437
0.91610.46570890093620.3848889123315
0.92615.91891716924817.7562834447506
0.93620.9094558157714.9998773403265
0.94625.63239074861612.3478958028375
0.95630.57161521874110.4996707921370
0.96636.56997900392710.9851329941356
0.97644.61945417247815.4115883183555
0.98655.09249832485623.6539352400007
0.99666.50184216362633.6215792120041


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')