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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 computationSun, 02 Mar 2008 13:19:33 -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/Mar/02/t1204489375nhd2cxgo3o5x0de.htm/, Retrieved Mon, 06 May 2024 11:35:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9714, Retrieved Mon, 06 May 2024 11:35:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177

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] [auto registratie ...] [2008-03-02 20:19:33] [7447f24868087d6abebd401b46b50271] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
209
214
265
290
287
270
263
265
252
281
259
312
275
250
312
331
256
247
291
318
296
291
313
311
273
258
361
391
446
433
449
479
460
466
410
415
382
409
496
471
488
584
610
684
626
580
444
552
473
431
513
467
470
455
406
424
406
373
332
310
301
296
333
374
422
424
341
216
319
383
360
400

Tables (Output of Computation)





Summary of compuational 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 compuational 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=9714&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]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=9714&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9714&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01211.2294188337736.20788686947164
0.02215.56761967230010.103338344093
0.03221.53544450264414.2385040845048
0.04228.38271735711716.2139298437716
0.05235.24077129010715.5814744333957
0.06241.39101701394813.3056351080493
0.07246.46900476234010.6607146771152
0.08250.4655568633788.50862799336846
0.09253.5879771118357.14508983724327
0.1256.1074433771916.47975869411844
0.11258.2640028605256.29732144585531
0.12260.2338980166716.4201856382649
0.13262.1337819682456.74205994054327
0.14264.0369356360377.2001798269008
0.15265.9879466953987.74921783338896
0.16268.0119830263618.34374093838457
0.17270.1196201878368.93760456999428
0.18272.3094349005299.48437208389464
0.19274.5701684518939.94342324102185
0.2276.88340448295910.2883347302137
0.21279.22691881100910.5105339603388
0.22281.578317983310.6198112963633
0.23283.91833097884910.6434172553574
0.24286.23314193312310.6168373417154
0.25288.51539140828110.5769159767264
0.26290.76382854471210.5543158451385
0.27292.98194537679910.5656440337921
0.28295.17615948456910.6147711265697
0.29297.35416727426310.6965541702567
0.3299.52396270135510.8034913190382
0.31301.69375673228810.9329998156256
0.32303.87272810715011.0936901652187
0.33306.07227774513611.3069208837268
0.34308.30731549992411.6045011949066
0.35310.59710578338512.0209205851552
0.36312.96532128078612.5883771262245
0.37315.43915326688713.3273977106905
0.38318.04754232749614.2413281545019
0.39320.81877136925115.3152480916696
0.4323.77777102727716.5173360129645
0.41326.94351771910117.8017389740106
0.42330.32686804188019.1140526248396
0.43333.92909149609620.3948323826334
0.44337.74125883184821.5835499098563
0.45341.74453272590422.6258574283695
0.46345.91130206757223.4760299370394
0.47350.20700854493124.1006898226171
0.48354.59244213658024.4820574308279
0.49359.02623950100124.6170504269320
0.5363.46731457610624.5167603379513
0.51367.87698776179824.2037082448478
0.52372.22065394646323.7073162610728
0.53376.46892534813823.0614221936241
0.54380.59828034457322.3010420002782
0.55384.59132091287921.4588140759300
0.56388.43677248428120.5669551307834
0.57392.12934695957119.6545871709164
0.58395.66954222355818.7514855367175
0.59399.06338975478517.8866341912403
0.6402.3221085647317.0884948016880
0.61405.46159609516816.3825409684379
0.62408.50169144913715.7913608069589
0.63411.46517838874215.3302171160713
0.64414.3765418554715.0061561986297
0.65417.26053738835614.8159271507284
0.66420.14066647792814.747579832337
0.67423.03766793978814.7801546416541
0.68425.96813726497614.8854818422009
0.69428.94337748127615.0314190560426
0.7431.96857188898315.1814843439942
0.71435.0423560593915.3003570403660
0.72438.15685824961415.3542161429158
0.73441.29827822740715.3146183151138
0.74444.44808694269615.1619229836241
0.75447.5849505954614.8841461073543
0.76450.68750049091514.4841474407875
0.77453.73806407155513.9799549061849
0.78456.72742053458913.4089757048206
0.79459.66053488071912.8327813491840
0.8462.56306531083712.3415805372267
0.81465.48825326492812.0555146066758
0.82468.5236022050712.1225540444524
0.83471.79648355362612.7056553030091
0.84475.47735188131113.9582864074901
0.85479.7784675236715.9970969990553
0.86484.94496170942118.8742995673725
0.87491.2342899605322.5451231495651
0.88498.88088742328326.8214409852146
0.89508.04689530496331.3236614890587
0.9518.76814087475235.4725883300061
0.91530.91541812140338.5672774451028
0.92544.19917824034839.9756810564435
0.93558.24480918083739.4007880544527
0.94572.75530590075837.1098344071403
0.95587.76142856683633.990090886264
0.96603.90404744047231.4647197249258
0.97622.46708227655131.6183371650380
0.98644.38977136873537.0304297483264
0.99667.49003711519847.5984412763084

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 211.229418833773 & 6.20788686947164 \tabularnewline
0.02 & 215.567619672300 & 10.103338344093 \tabularnewline
0.03 & 221.535444502644 & 14.2385040845048 \tabularnewline
0.04 & 228.382717357117 & 16.2139298437716 \tabularnewline
0.05 & 235.240771290107 & 15.5814744333957 \tabularnewline
0.06 & 241.391017013948 & 13.3056351080493 \tabularnewline
0.07 & 246.469004762340 & 10.6607146771152 \tabularnewline
0.08 & 250.465556863378 & 8.50862799336846 \tabularnewline
0.09 & 253.587977111835 & 7.14508983724327 \tabularnewline
0.1 & 256.107443377191 & 6.47975869411844 \tabularnewline
0.11 & 258.264002860525 & 6.29732144585531 \tabularnewline
0.12 & 260.233898016671 & 6.4201856382649 \tabularnewline
0.13 & 262.133781968245 & 6.74205994054327 \tabularnewline
0.14 & 264.036935636037 & 7.2001798269008 \tabularnewline
0.15 & 265.987946695398 & 7.74921783338896 \tabularnewline
0.16 & 268.011983026361 & 8.34374093838457 \tabularnewline
0.17 & 270.119620187836 & 8.93760456999428 \tabularnewline
0.18 & 272.309434900529 & 9.48437208389464 \tabularnewline
0.19 & 274.570168451893 & 9.94342324102185 \tabularnewline
0.2 & 276.883404482959 & 10.2883347302137 \tabularnewline
0.21 & 279.226918811009 & 10.5105339603388 \tabularnewline
0.22 & 281.5783179833 & 10.6198112963633 \tabularnewline
0.23 & 283.918330978849 & 10.6434172553574 \tabularnewline
0.24 & 286.233141933123 & 10.6168373417154 \tabularnewline
0.25 & 288.515391408281 & 10.5769159767264 \tabularnewline
0.26 & 290.763828544712 & 10.5543158451385 \tabularnewline
0.27 & 292.981945376799 & 10.5656440337921 \tabularnewline
0.28 & 295.176159484569 & 10.6147711265697 \tabularnewline
0.29 & 297.354167274263 & 10.6965541702567 \tabularnewline
0.3 & 299.523962701355 & 10.8034913190382 \tabularnewline
0.31 & 301.693756732288 & 10.9329998156256 \tabularnewline
0.32 & 303.872728107150 & 11.0936901652187 \tabularnewline
0.33 & 306.072277745136 & 11.3069208837268 \tabularnewline
0.34 & 308.307315499924 & 11.6045011949066 \tabularnewline
0.35 & 310.597105783385 & 12.0209205851552 \tabularnewline
0.36 & 312.965321280786 & 12.5883771262245 \tabularnewline
0.37 & 315.439153266887 & 13.3273977106905 \tabularnewline
0.38 & 318.047542327496 & 14.2413281545019 \tabularnewline
0.39 & 320.818771369251 & 15.3152480916696 \tabularnewline
0.4 & 323.777771027277 & 16.5173360129645 \tabularnewline
0.41 & 326.943517719101 & 17.8017389740106 \tabularnewline
0.42 & 330.326868041880 & 19.1140526248396 \tabularnewline
0.43 & 333.929091496096 & 20.3948323826334 \tabularnewline
0.44 & 337.741258831848 & 21.5835499098563 \tabularnewline
0.45 & 341.744532725904 & 22.6258574283695 \tabularnewline
0.46 & 345.911302067572 & 23.4760299370394 \tabularnewline
0.47 & 350.207008544931 & 24.1006898226171 \tabularnewline
0.48 & 354.592442136580 & 24.4820574308279 \tabularnewline
0.49 & 359.026239501001 & 24.6170504269320 \tabularnewline
0.5 & 363.467314576106 & 24.5167603379513 \tabularnewline
0.51 & 367.876987761798 & 24.2037082448478 \tabularnewline
0.52 & 372.220653946463 & 23.7073162610728 \tabularnewline
0.53 & 376.468925348138 & 23.0614221936241 \tabularnewline
0.54 & 380.598280344573 & 22.3010420002782 \tabularnewline
0.55 & 384.591320912879 & 21.4588140759300 \tabularnewline
0.56 & 388.436772484281 & 20.5669551307834 \tabularnewline
0.57 & 392.129346959571 & 19.6545871709164 \tabularnewline
0.58 & 395.669542223558 & 18.7514855367175 \tabularnewline
0.59 & 399.063389754785 & 17.8866341912403 \tabularnewline
0.6 & 402.32210856473 & 17.0884948016880 \tabularnewline
0.61 & 405.461596095168 & 16.3825409684379 \tabularnewline
0.62 & 408.501691449137 & 15.7913608069589 \tabularnewline
0.63 & 411.465178388742 & 15.3302171160713 \tabularnewline
0.64 & 414.37654185547 & 15.0061561986297 \tabularnewline
0.65 & 417.260537388356 & 14.8159271507284 \tabularnewline
0.66 & 420.140666477928 & 14.747579832337 \tabularnewline
0.67 & 423.037667939788 & 14.7801546416541 \tabularnewline
0.68 & 425.968137264976 & 14.8854818422009 \tabularnewline
0.69 & 428.943377481276 & 15.0314190560426 \tabularnewline
0.7 & 431.968571888983 & 15.1814843439942 \tabularnewline
0.71 & 435.04235605939 & 15.3003570403660 \tabularnewline
0.72 & 438.156858249614 & 15.3542161429158 \tabularnewline
0.73 & 441.298278227407 & 15.3146183151138 \tabularnewline
0.74 & 444.448086942696 & 15.1619229836241 \tabularnewline
0.75 & 447.58495059546 & 14.8841461073543 \tabularnewline
0.76 & 450.687500490915 & 14.4841474407875 \tabularnewline
0.77 & 453.738064071555 & 13.9799549061849 \tabularnewline
0.78 & 456.727420534589 & 13.4089757048206 \tabularnewline
0.79 & 459.660534880719 & 12.8327813491840 \tabularnewline
0.8 & 462.563065310837 & 12.3415805372267 \tabularnewline
0.81 & 465.488253264928 & 12.0555146066758 \tabularnewline
0.82 & 468.52360220507 & 12.1225540444524 \tabularnewline
0.83 & 471.796483553626 & 12.7056553030091 \tabularnewline
0.84 & 475.477351881311 & 13.9582864074901 \tabularnewline
0.85 & 479.77846752367 & 15.9970969990553 \tabularnewline
0.86 & 484.944961709421 & 18.8742995673725 \tabularnewline
0.87 & 491.23428996053 & 22.5451231495651 \tabularnewline
0.88 & 498.880887423283 & 26.8214409852146 \tabularnewline
0.89 & 508.046895304963 & 31.3236614890587 \tabularnewline
0.9 & 518.768140874752 & 35.4725883300061 \tabularnewline
0.91 & 530.915418121403 & 38.5672774451028 \tabularnewline
0.92 & 544.199178240348 & 39.9756810564435 \tabularnewline
0.93 & 558.244809180837 & 39.4007880544527 \tabularnewline
0.94 & 572.755305900758 & 37.1098344071403 \tabularnewline
0.95 & 587.761428566836 & 33.990090886264 \tabularnewline
0.96 & 603.904047440472 & 31.4647197249258 \tabularnewline
0.97 & 622.467082276551 & 31.6183371650380 \tabularnewline
0.98 & 644.389771368735 & 37.0304297483264 \tabularnewline
0.99 & 667.490037115198 & 47.5984412763084 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9714&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]211.229418833773[/C][C]6.20788686947164[/C][/ROW]
[ROW][C]0.02[/C][C]215.567619672300[/C][C]10.103338344093[/C][/ROW]
[ROW][C]0.03[/C][C]221.535444502644[/C][C]14.2385040845048[/C][/ROW]
[ROW][C]0.04[/C][C]228.382717357117[/C][C]16.2139298437716[/C][/ROW]
[ROW][C]0.05[/C][C]235.240771290107[/C][C]15.5814744333957[/C][/ROW]
[ROW][C]0.06[/C][C]241.391017013948[/C][C]13.3056351080493[/C][/ROW]
[ROW][C]0.07[/C][C]246.469004762340[/C][C]10.6607146771152[/C][/ROW]
[ROW][C]0.08[/C][C]250.465556863378[/C][C]8.50862799336846[/C][/ROW]
[ROW][C]0.09[/C][C]253.587977111835[/C][C]7.14508983724327[/C][/ROW]
[ROW][C]0.1[/C][C]256.107443377191[/C][C]6.47975869411844[/C][/ROW]
[ROW][C]0.11[/C][C]258.264002860525[/C][C]6.29732144585531[/C][/ROW]
[ROW][C]0.12[/C][C]260.233898016671[/C][C]6.4201856382649[/C][/ROW]
[ROW][C]0.13[/C][C]262.133781968245[/C][C]6.74205994054327[/C][/ROW]
[ROW][C]0.14[/C][C]264.036935636037[/C][C]7.2001798269008[/C][/ROW]
[ROW][C]0.15[/C][C]265.987946695398[/C][C]7.74921783338896[/C][/ROW]
[ROW][C]0.16[/C][C]268.011983026361[/C][C]8.34374093838457[/C][/ROW]
[ROW][C]0.17[/C][C]270.119620187836[/C][C]8.93760456999428[/C][/ROW]
[ROW][C]0.18[/C][C]272.309434900529[/C][C]9.48437208389464[/C][/ROW]
[ROW][C]0.19[/C][C]274.570168451893[/C][C]9.94342324102185[/C][/ROW]
[ROW][C]0.2[/C][C]276.883404482959[/C][C]10.2883347302137[/C][/ROW]
[ROW][C]0.21[/C][C]279.226918811009[/C][C]10.5105339603388[/C][/ROW]
[ROW][C]0.22[/C][C]281.5783179833[/C][C]10.6198112963633[/C][/ROW]
[ROW][C]0.23[/C][C]283.918330978849[/C][C]10.6434172553574[/C][/ROW]
[ROW][C]0.24[/C][C]286.233141933123[/C][C]10.6168373417154[/C][/ROW]
[ROW][C]0.25[/C][C]288.515391408281[/C][C]10.5769159767264[/C][/ROW]
[ROW][C]0.26[/C][C]290.763828544712[/C][C]10.5543158451385[/C][/ROW]
[ROW][C]0.27[/C][C]292.981945376799[/C][C]10.5656440337921[/C][/ROW]
[ROW][C]0.28[/C][C]295.176159484569[/C][C]10.6147711265697[/C][/ROW]
[ROW][C]0.29[/C][C]297.354167274263[/C][C]10.6965541702567[/C][/ROW]
[ROW][C]0.3[/C][C]299.523962701355[/C][C]10.8034913190382[/C][/ROW]
[ROW][C]0.31[/C][C]301.693756732288[/C][C]10.9329998156256[/C][/ROW]
[ROW][C]0.32[/C][C]303.872728107150[/C][C]11.0936901652187[/C][/ROW]
[ROW][C]0.33[/C][C]306.072277745136[/C][C]11.3069208837268[/C][/ROW]
[ROW][C]0.34[/C][C]308.307315499924[/C][C]11.6045011949066[/C][/ROW]
[ROW][C]0.35[/C][C]310.597105783385[/C][C]12.0209205851552[/C][/ROW]
[ROW][C]0.36[/C][C]312.965321280786[/C][C]12.5883771262245[/C][/ROW]
[ROW][C]0.37[/C][C]315.439153266887[/C][C]13.3273977106905[/C][/ROW]
[ROW][C]0.38[/C][C]318.047542327496[/C][C]14.2413281545019[/C][/ROW]
[ROW][C]0.39[/C][C]320.818771369251[/C][C]15.3152480916696[/C][/ROW]
[ROW][C]0.4[/C][C]323.777771027277[/C][C]16.5173360129645[/C][/ROW]
[ROW][C]0.41[/C][C]326.943517719101[/C][C]17.8017389740106[/C][/ROW]
[ROW][C]0.42[/C][C]330.326868041880[/C][C]19.1140526248396[/C][/ROW]
[ROW][C]0.43[/C][C]333.929091496096[/C][C]20.3948323826334[/C][/ROW]
[ROW][C]0.44[/C][C]337.741258831848[/C][C]21.5835499098563[/C][/ROW]
[ROW][C]0.45[/C][C]341.744532725904[/C][C]22.6258574283695[/C][/ROW]
[ROW][C]0.46[/C][C]345.911302067572[/C][C]23.4760299370394[/C][/ROW]
[ROW][C]0.47[/C][C]350.207008544931[/C][C]24.1006898226171[/C][/ROW]
[ROW][C]0.48[/C][C]354.592442136580[/C][C]24.4820574308279[/C][/ROW]
[ROW][C]0.49[/C][C]359.026239501001[/C][C]24.6170504269320[/C][/ROW]
[ROW][C]0.5[/C][C]363.467314576106[/C][C]24.5167603379513[/C][/ROW]
[ROW][C]0.51[/C][C]367.876987761798[/C][C]24.2037082448478[/C][/ROW]
[ROW][C]0.52[/C][C]372.220653946463[/C][C]23.7073162610728[/C][/ROW]
[ROW][C]0.53[/C][C]376.468925348138[/C][C]23.0614221936241[/C][/ROW]
[ROW][C]0.54[/C][C]380.598280344573[/C][C]22.3010420002782[/C][/ROW]
[ROW][C]0.55[/C][C]384.591320912879[/C][C]21.4588140759300[/C][/ROW]
[ROW][C]0.56[/C][C]388.436772484281[/C][C]20.5669551307834[/C][/ROW]
[ROW][C]0.57[/C][C]392.129346959571[/C][C]19.6545871709164[/C][/ROW]
[ROW][C]0.58[/C][C]395.669542223558[/C][C]18.7514855367175[/C][/ROW]
[ROW][C]0.59[/C][C]399.063389754785[/C][C]17.8866341912403[/C][/ROW]
[ROW][C]0.6[/C][C]402.32210856473[/C][C]17.0884948016880[/C][/ROW]
[ROW][C]0.61[/C][C]405.461596095168[/C][C]16.3825409684379[/C][/ROW]
[ROW][C]0.62[/C][C]408.501691449137[/C][C]15.7913608069589[/C][/ROW]
[ROW][C]0.63[/C][C]411.465178388742[/C][C]15.3302171160713[/C][/ROW]
[ROW][C]0.64[/C][C]414.37654185547[/C][C]15.0061561986297[/C][/ROW]
[ROW][C]0.65[/C][C]417.260537388356[/C][C]14.8159271507284[/C][/ROW]
[ROW][C]0.66[/C][C]420.140666477928[/C][C]14.747579832337[/C][/ROW]
[ROW][C]0.67[/C][C]423.037667939788[/C][C]14.7801546416541[/C][/ROW]
[ROW][C]0.68[/C][C]425.968137264976[/C][C]14.8854818422009[/C][/ROW]
[ROW][C]0.69[/C][C]428.943377481276[/C][C]15.0314190560426[/C][/ROW]
[ROW][C]0.7[/C][C]431.968571888983[/C][C]15.1814843439942[/C][/ROW]
[ROW][C]0.71[/C][C]435.04235605939[/C][C]15.3003570403660[/C][/ROW]
[ROW][C]0.72[/C][C]438.156858249614[/C][C]15.3542161429158[/C][/ROW]
[ROW][C]0.73[/C][C]441.298278227407[/C][C]15.3146183151138[/C][/ROW]
[ROW][C]0.74[/C][C]444.448086942696[/C][C]15.1619229836241[/C][/ROW]
[ROW][C]0.75[/C][C]447.58495059546[/C][C]14.8841461073543[/C][/ROW]
[ROW][C]0.76[/C][C]450.687500490915[/C][C]14.4841474407875[/C][/ROW]
[ROW][C]0.77[/C][C]453.738064071555[/C][C]13.9799549061849[/C][/ROW]
[ROW][C]0.78[/C][C]456.727420534589[/C][C]13.4089757048206[/C][/ROW]
[ROW][C]0.79[/C][C]459.660534880719[/C][C]12.8327813491840[/C][/ROW]
[ROW][C]0.8[/C][C]462.563065310837[/C][C]12.3415805372267[/C][/ROW]
[ROW][C]0.81[/C][C]465.488253264928[/C][C]12.0555146066758[/C][/ROW]
[ROW][C]0.82[/C][C]468.52360220507[/C][C]12.1225540444524[/C][/ROW]
[ROW][C]0.83[/C][C]471.796483553626[/C][C]12.7056553030091[/C][/ROW]
[ROW][C]0.84[/C][C]475.477351881311[/C][C]13.9582864074901[/C][/ROW]
[ROW][C]0.85[/C][C]479.77846752367[/C][C]15.9970969990553[/C][/ROW]
[ROW][C]0.86[/C][C]484.944961709421[/C][C]18.8742995673725[/C][/ROW]
[ROW][C]0.87[/C][C]491.23428996053[/C][C]22.5451231495651[/C][/ROW]
[ROW][C]0.88[/C][C]498.880887423283[/C][C]26.8214409852146[/C][/ROW]
[ROW][C]0.89[/C][C]508.046895304963[/C][C]31.3236614890587[/C][/ROW]
[ROW][C]0.9[/C][C]518.768140874752[/C][C]35.4725883300061[/C][/ROW]
[ROW][C]0.91[/C][C]530.915418121403[/C][C]38.5672774451028[/C][/ROW]
[ROW][C]0.92[/C][C]544.199178240348[/C][C]39.9756810564435[/C][/ROW]
[ROW][C]0.93[/C][C]558.244809180837[/C][C]39.4007880544527[/C][/ROW]
[ROW][C]0.94[/C][C]572.755305900758[/C][C]37.1098344071403[/C][/ROW]
[ROW][C]0.95[/C][C]587.761428566836[/C][C]33.990090886264[/C][/ROW]
[ROW][C]0.96[/C][C]603.904047440472[/C][C]31.4647197249258[/C][/ROW]
[ROW][C]0.97[/C][C]622.467082276551[/C][C]31.6183371650380[/C][/ROW]
[ROW][C]0.98[/C][C]644.389771368735[/C][C]37.0304297483264[/C][/ROW]
[ROW][C]0.99[/C][C]667.490037115198[/C][C]47.5984412763084[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9714&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9714&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
0.01211.2294188337736.20788686947164
0.02215.56761967230010.103338344093
0.03221.53544450264414.2385040845048
0.04228.38271735711716.2139298437716
0.05235.24077129010715.5814744333957
0.06241.39101701394813.3056351080493
0.07246.46900476234010.6607146771152
0.08250.4655568633788.50862799336846
0.09253.5879771118357.14508983724327
0.1256.1074433771916.47975869411844
0.11258.2640028605256.29732144585531
0.12260.2338980166716.4201856382649
0.13262.1337819682456.74205994054327
0.14264.0369356360377.2001798269008
0.15265.9879466953987.74921783338896
0.16268.0119830263618.34374093838457
0.17270.1196201878368.93760456999428
0.18272.3094349005299.48437208389464
0.19274.5701684518939.94342324102185
0.2276.88340448295910.2883347302137
0.21279.22691881100910.5105339603388
0.22281.578317983310.6198112963633
0.23283.91833097884910.6434172553574
0.24286.23314193312310.6168373417154
0.25288.51539140828110.5769159767264
0.26290.76382854471210.5543158451385
0.27292.98194537679910.5656440337921
0.28295.17615948456910.6147711265697
0.29297.35416727426310.6965541702567
0.3299.52396270135510.8034913190382
0.31301.69375673228810.9329998156256
0.32303.87272810715011.0936901652187
0.33306.07227774513611.3069208837268
0.34308.30731549992411.6045011949066
0.35310.59710578338512.0209205851552
0.36312.96532128078612.5883771262245
0.37315.43915326688713.3273977106905
0.38318.04754232749614.2413281545019
0.39320.81877136925115.3152480916696
0.4323.77777102727716.5173360129645
0.41326.94351771910117.8017389740106
0.42330.32686804188019.1140526248396
0.43333.92909149609620.3948323826334
0.44337.74125883184821.5835499098563
0.45341.74453272590422.6258574283695
0.46345.91130206757223.4760299370394
0.47350.20700854493124.1006898226171
0.48354.59244213658024.4820574308279
0.49359.02623950100124.6170504269320
0.5363.46731457610624.5167603379513
0.51367.87698776179824.2037082448478
0.52372.22065394646323.7073162610728
0.53376.46892534813823.0614221936241
0.54380.59828034457322.3010420002782
0.55384.59132091287921.4588140759300
0.56388.43677248428120.5669551307834
0.57392.12934695957119.6545871709164
0.58395.66954222355818.7514855367175
0.59399.06338975478517.8866341912403
0.6402.3221085647317.0884948016880
0.61405.46159609516816.3825409684379
0.62408.50169144913715.7913608069589
0.63411.46517838874215.3302171160713
0.64414.3765418554715.0061561986297
0.65417.26053738835614.8159271507284
0.66420.14066647792814.747579832337
0.67423.03766793978814.7801546416541
0.68425.96813726497614.8854818422009
0.69428.94337748127615.0314190560426
0.7431.96857188898315.1814843439942
0.71435.0423560593915.3003570403660
0.72438.15685824961415.3542161429158
0.73441.29827822740715.3146183151138
0.74444.44808694269615.1619229836241
0.75447.5849505954614.8841461073543
0.76450.68750049091514.4841474407875
0.77453.73806407155513.9799549061849
0.78456.72742053458913.4089757048206
0.79459.66053488071912.8327813491840
0.8462.56306531083712.3415805372267
0.81465.48825326492812.0555146066758
0.82468.5236022050712.1225540444524
0.83471.79648355362612.7056553030091
0.84475.47735188131113.9582864074901
0.85479.7784675236715.9970969990553
0.86484.94496170942118.8742995673725
0.87491.2342899605322.5451231495651
0.88498.88088742328326.8214409852146
0.89508.04689530496331.3236614890587
0.9518.76814087475235.4725883300061
0.91530.91541812140338.5672774451028
0.92544.19917824034839.9756810564435
0.93558.24480918083739.4007880544527
0.94572.75530590075837.1098344071403
0.95587.76142856683633.990090886264
0.96603.90404744047231.4647197249258
0.97622.46708227655131.6183371650380
0.98644.38977136873537.0304297483264
0.99667.49003711519847.5984412763084


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')