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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 computationMon, 16 Aug 2010 08:20:51 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/16/t1281946949j1sig9rpdv8cln6.htm/, Retrieved Thu, 16 May 2024 21:49:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78939, Retrieved Thu, 16 May 2024 21:49:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact141

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bezoekers per maand] [2010-08-16 07:07:56] [3d41945eca20332ad7c135bac91a27a3]
- RMP     [Harrell-Davis Quantiles] [aan] [2010-08-16 08:20:51] [5e78ed906b09bab42b8ec3dd93b6358a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
556
555
554
552
572
571
556
546
547
547
548
550
555
549
555
550
566
573
543
535
542
541
535
536
548
546
548
548
561
563
527
527
541
534
522
527
539
533
532
519
538
542
503
502
522
511
492
500
509
511
505
493
518
518
474
471
483
461
439
446
461
449
441
424
447
448
404
403
411
386
359
370
385
369
368
352
378
383
334
323
330
303
275
284
301
281
284
272
297
300
240
236
247
218
192
201
223
197
195
175
197
204
142
142
151
127
100
114
139
112
123
108
132
140
76
71
81
57
38
46

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time17 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 17 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78939&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]17 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=78939&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78939&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 time17 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0144.891817765337710.6512560759079
0.0256.140430286866614.2613241331107
0.0367.939460600027816.0896663219687
0.0479.143392657287717.3595207320544
0.0589.602074083241918.0303829053681
0.0699.214045099590817.6193495587259
0.07107.83643014042716.5775649630189
0.08115.4933475050915.7348009747685
0.09122.43123650622815.5877137333001
0.1129.01404889350416.294422874694
0.11135.61216156066717.8814329315260
0.12142.53479710449920.2051804972807
0.13149.97950590471722.8582303023717
0.14157.99279513674125.2770956283849
0.15166.46948064205726.9999980945271
0.16175.20859208802427.8853529780026
0.17184.00548443820028.1614644432442
0.18192.73385319292128.2831350556292
0.19201.37863323903128.6809762224573
0.2210.01164480036529.5455266245487
0.21218.73220310609730.7714402942481
0.22227.60712234460532.0674072436502
0.23236.63684494823233.1174756244918
0.24245.75653493378533.7110889543608
0.25254.86438324909133.8037468780001
0.26263.86067376006033.5116868676023
0.27272.68103042130233.0575631540518
0.28281.31290576661532.6870921736768
0.29289.79219185050632.5852178538517
0.3298.18393216863132.8117291541191
0.31306.55564965376133.2949096126824
0.32314.95299005339333.8690333638042
0.33323.38539278288634.3392396605931
0.34331.82535188613534.5521141327648
0.35340.2200373449234.4362661100874
0.36348.51017147403334.0240090253754
0.37356.64922204004533.4294267537765
0.38364.61656087212132.8082379168084
0.39372.42082086186632.3030036310613
0.4380.09324648643831.9973563010565
0.41387.67413481730131.8911514539018
0.42395.19745865191931.9051009296703
0.43402.67891063412131.9152560289462
0.44410.11100432734831.8010182704446
0.45417.46617516853131.4782927940673
0.46424.70601938689130.9268510897436
0.47431.79285425492630.1896162613602
0.48438.69930155822529.3480417983933
0.49445.41266659137128.488696492307
0.5451.93302848746227.6711189758035
0.51458.26633026927226.9049323838285
0.52464.41547892897326.1479429105724
0.53470.37295743258825.3276729839059
0.54476.11763614474524.3698515154264
0.55481.61677047710123.2245145791915
0.56486.83229358425621.8845769565821
0.57491.72915314990220.3854258988736
0.58496.28301644093118.7958052921737
0.59500.48519298641617.2017704179883
0.6504.34376540594215.6803765950132
0.61507.88117590607214.2927894241657
0.62511.12944289894713.0700571308277
0.63514.12454836381512.0145711484740
0.64516.90136932822511.1105217377917
0.65519.49003761586410.3276718580142
0.66521.9140595519699.63435184111126
0.67524.190094579848.99906857470919
0.68526.3290345250458.39893322191119
0.69528.3379036034237.82223732301449
0.7530.2220531844417.2638926518181
0.71531.9871342124186.73065866340749
0.72533.6404154031676.23227913011861
0.73535.1911932905265.77776868294913
0.74536.6502763298125.37438804875496
0.75538.028739712055.02062458235084
0.76539.3362758931694.70691752099856
0.77540.5795186552324.42017550514289
0.78541.7607695193994.14138561369919
0.79542.8776475648993.85300939405736
0.8543.9242332010923.5422374978093
0.81544.8940848297653.20732128331394
0.82545.7849154161142.86526014831874
0.83546.6037939537862.55324073271280
0.84547.3708472058672.32107980225326
0.85548.1191046026952.21445015657297
0.86548.8888241236162.25116743217753
0.87549.7166211329122.39713114134293
0.88550.6229064851542.57362728520226
0.89551.6046897786282.69006491324855
0.9552.6424837505592.69258514014006
0.91553.7262350484572.61653436412006
0.92554.8933146283792.61623087322605
0.93556.2554776773822.90332308021827
0.94557.9853178906313.54525025584408
0.95560.2496520465624.34771153225743
0.96563.1033620642494.9602306117343
0.97566.3624112792834.95723774064941
0.98569.5191905950143.88808474951065
0.99571.8953072824911.98828328504186

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 44.8918177653377 & 10.6512560759079 \tabularnewline
0.02 & 56.1404302868666 & 14.2613241331107 \tabularnewline
0.03 & 67.9394606000278 & 16.0896663219687 \tabularnewline
0.04 & 79.1433926572877 & 17.3595207320544 \tabularnewline
0.05 & 89.6020740832419 & 18.0303829053681 \tabularnewline
0.06 & 99.2140450995908 & 17.6193495587259 \tabularnewline
0.07 & 107.836430140427 & 16.5775649630189 \tabularnewline
0.08 & 115.49334750509 & 15.7348009747685 \tabularnewline
0.09 & 122.431236506228 & 15.5877137333001 \tabularnewline
0.1 & 129.014048893504 & 16.294422874694 \tabularnewline
0.11 & 135.612161560667 & 17.8814329315260 \tabularnewline
0.12 & 142.534797104499 & 20.2051804972807 \tabularnewline
0.13 & 149.979505904717 & 22.8582303023717 \tabularnewline
0.14 & 157.992795136741 & 25.2770956283849 \tabularnewline
0.15 & 166.469480642057 & 26.9999980945271 \tabularnewline
0.16 & 175.208592088024 & 27.8853529780026 \tabularnewline
0.17 & 184.005484438200 & 28.1614644432442 \tabularnewline
0.18 & 192.733853192921 & 28.2831350556292 \tabularnewline
0.19 & 201.378633239031 & 28.6809762224573 \tabularnewline
0.2 & 210.011644800365 & 29.5455266245487 \tabularnewline
0.21 & 218.732203106097 & 30.7714402942481 \tabularnewline
0.22 & 227.607122344605 & 32.0674072436502 \tabularnewline
0.23 & 236.636844948232 & 33.1174756244918 \tabularnewline
0.24 & 245.756534933785 & 33.7110889543608 \tabularnewline
0.25 & 254.864383249091 & 33.8037468780001 \tabularnewline
0.26 & 263.860673760060 & 33.5116868676023 \tabularnewline
0.27 & 272.681030421302 & 33.0575631540518 \tabularnewline
0.28 & 281.312905766615 & 32.6870921736768 \tabularnewline
0.29 & 289.792191850506 & 32.5852178538517 \tabularnewline
0.3 & 298.183932168631 & 32.8117291541191 \tabularnewline
0.31 & 306.555649653761 & 33.2949096126824 \tabularnewline
0.32 & 314.952990053393 & 33.8690333638042 \tabularnewline
0.33 & 323.385392782886 & 34.3392396605931 \tabularnewline
0.34 & 331.825351886135 & 34.5521141327648 \tabularnewline
0.35 & 340.22003734492 & 34.4362661100874 \tabularnewline
0.36 & 348.510171474033 & 34.0240090253754 \tabularnewline
0.37 & 356.649222040045 & 33.4294267537765 \tabularnewline
0.38 & 364.616560872121 & 32.8082379168084 \tabularnewline
0.39 & 372.420820861866 & 32.3030036310613 \tabularnewline
0.4 & 380.093246486438 & 31.9973563010565 \tabularnewline
0.41 & 387.674134817301 & 31.8911514539018 \tabularnewline
0.42 & 395.197458651919 & 31.9051009296703 \tabularnewline
0.43 & 402.678910634121 & 31.9152560289462 \tabularnewline
0.44 & 410.111004327348 & 31.8010182704446 \tabularnewline
0.45 & 417.466175168531 & 31.4782927940673 \tabularnewline
0.46 & 424.706019386891 & 30.9268510897436 \tabularnewline
0.47 & 431.792854254926 & 30.1896162613602 \tabularnewline
0.48 & 438.699301558225 & 29.3480417983933 \tabularnewline
0.49 & 445.412666591371 & 28.488696492307 \tabularnewline
0.5 & 451.933028487462 & 27.6711189758035 \tabularnewline
0.51 & 458.266330269272 & 26.9049323838285 \tabularnewline
0.52 & 464.415478928973 & 26.1479429105724 \tabularnewline
0.53 & 470.372957432588 & 25.3276729839059 \tabularnewline
0.54 & 476.117636144745 & 24.3698515154264 \tabularnewline
0.55 & 481.616770477101 & 23.2245145791915 \tabularnewline
0.56 & 486.832293584256 & 21.8845769565821 \tabularnewline
0.57 & 491.729153149902 & 20.3854258988736 \tabularnewline
0.58 & 496.283016440931 & 18.7958052921737 \tabularnewline
0.59 & 500.485192986416 & 17.2017704179883 \tabularnewline
0.6 & 504.343765405942 & 15.6803765950132 \tabularnewline
0.61 & 507.881175906072 & 14.2927894241657 \tabularnewline
0.62 & 511.129442898947 & 13.0700571308277 \tabularnewline
0.63 & 514.124548363815 & 12.0145711484740 \tabularnewline
0.64 & 516.901369328225 & 11.1105217377917 \tabularnewline
0.65 & 519.490037615864 & 10.3276718580142 \tabularnewline
0.66 & 521.914059551969 & 9.63435184111126 \tabularnewline
0.67 & 524.19009457984 & 8.99906857470919 \tabularnewline
0.68 & 526.329034525045 & 8.39893322191119 \tabularnewline
0.69 & 528.337903603423 & 7.82223732301449 \tabularnewline
0.7 & 530.222053184441 & 7.2638926518181 \tabularnewline
0.71 & 531.987134212418 & 6.73065866340749 \tabularnewline
0.72 & 533.640415403167 & 6.23227913011861 \tabularnewline
0.73 & 535.191193290526 & 5.77776868294913 \tabularnewline
0.74 & 536.650276329812 & 5.37438804875496 \tabularnewline
0.75 & 538.02873971205 & 5.02062458235084 \tabularnewline
0.76 & 539.336275893169 & 4.70691752099856 \tabularnewline
0.77 & 540.579518655232 & 4.42017550514289 \tabularnewline
0.78 & 541.760769519399 & 4.14138561369919 \tabularnewline
0.79 & 542.877647564899 & 3.85300939405736 \tabularnewline
0.8 & 543.924233201092 & 3.5422374978093 \tabularnewline
0.81 & 544.894084829765 & 3.20732128331394 \tabularnewline
0.82 & 545.784915416114 & 2.86526014831874 \tabularnewline
0.83 & 546.603793953786 & 2.55324073271280 \tabularnewline
0.84 & 547.370847205867 & 2.32107980225326 \tabularnewline
0.85 & 548.119104602695 & 2.21445015657297 \tabularnewline
0.86 & 548.888824123616 & 2.25116743217753 \tabularnewline
0.87 & 549.716621132912 & 2.39713114134293 \tabularnewline
0.88 & 550.622906485154 & 2.57362728520226 \tabularnewline
0.89 & 551.604689778628 & 2.69006491324855 \tabularnewline
0.9 & 552.642483750559 & 2.69258514014006 \tabularnewline
0.91 & 553.726235048457 & 2.61653436412006 \tabularnewline
0.92 & 554.893314628379 & 2.61623087322605 \tabularnewline
0.93 & 556.255477677382 & 2.90332308021827 \tabularnewline
0.94 & 557.985317890631 & 3.54525025584408 \tabularnewline
0.95 & 560.249652046562 & 4.34771153225743 \tabularnewline
0.96 & 563.103362064249 & 4.9602306117343 \tabularnewline
0.97 & 566.362411279283 & 4.95723774064941 \tabularnewline
0.98 & 569.519190595014 & 3.88808474951065 \tabularnewline
0.99 & 571.895307282491 & 1.98828328504186 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78939&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]44.8918177653377[/C][C]10.6512560759079[/C][/ROW]
[ROW][C]0.02[/C][C]56.1404302868666[/C][C]14.2613241331107[/C][/ROW]
[ROW][C]0.03[/C][C]67.9394606000278[/C][C]16.0896663219687[/C][/ROW]
[ROW][C]0.04[/C][C]79.1433926572877[/C][C]17.3595207320544[/C][/ROW]
[ROW][C]0.05[/C][C]89.6020740832419[/C][C]18.0303829053681[/C][/ROW]
[ROW][C]0.06[/C][C]99.2140450995908[/C][C]17.6193495587259[/C][/ROW]
[ROW][C]0.07[/C][C]107.836430140427[/C][C]16.5775649630189[/C][/ROW]
[ROW][C]0.08[/C][C]115.49334750509[/C][C]15.7348009747685[/C][/ROW]
[ROW][C]0.09[/C][C]122.431236506228[/C][C]15.5877137333001[/C][/ROW]
[ROW][C]0.1[/C][C]129.014048893504[/C][C]16.294422874694[/C][/ROW]
[ROW][C]0.11[/C][C]135.612161560667[/C][C]17.8814329315260[/C][/ROW]
[ROW][C]0.12[/C][C]142.534797104499[/C][C]20.2051804972807[/C][/ROW]
[ROW][C]0.13[/C][C]149.979505904717[/C][C]22.8582303023717[/C][/ROW]
[ROW][C]0.14[/C][C]157.992795136741[/C][C]25.2770956283849[/C][/ROW]
[ROW][C]0.15[/C][C]166.469480642057[/C][C]26.9999980945271[/C][/ROW]
[ROW][C]0.16[/C][C]175.208592088024[/C][C]27.8853529780026[/C][/ROW]
[ROW][C]0.17[/C][C]184.005484438200[/C][C]28.1614644432442[/C][/ROW]
[ROW][C]0.18[/C][C]192.733853192921[/C][C]28.2831350556292[/C][/ROW]
[ROW][C]0.19[/C][C]201.378633239031[/C][C]28.6809762224573[/C][/ROW]
[ROW][C]0.2[/C][C]210.011644800365[/C][C]29.5455266245487[/C][/ROW]
[ROW][C]0.21[/C][C]218.732203106097[/C][C]30.7714402942481[/C][/ROW]
[ROW][C]0.22[/C][C]227.607122344605[/C][C]32.0674072436502[/C][/ROW]
[ROW][C]0.23[/C][C]236.636844948232[/C][C]33.1174756244918[/C][/ROW]
[ROW][C]0.24[/C][C]245.756534933785[/C][C]33.7110889543608[/C][/ROW]
[ROW][C]0.25[/C][C]254.864383249091[/C][C]33.8037468780001[/C][/ROW]
[ROW][C]0.26[/C][C]263.860673760060[/C][C]33.5116868676023[/C][/ROW]
[ROW][C]0.27[/C][C]272.681030421302[/C][C]33.0575631540518[/C][/ROW]
[ROW][C]0.28[/C][C]281.312905766615[/C][C]32.6870921736768[/C][/ROW]
[ROW][C]0.29[/C][C]289.792191850506[/C][C]32.5852178538517[/C][/ROW]
[ROW][C]0.3[/C][C]298.183932168631[/C][C]32.8117291541191[/C][/ROW]
[ROW][C]0.31[/C][C]306.555649653761[/C][C]33.2949096126824[/C][/ROW]
[ROW][C]0.32[/C][C]314.952990053393[/C][C]33.8690333638042[/C][/ROW]
[ROW][C]0.33[/C][C]323.385392782886[/C][C]34.3392396605931[/C][/ROW]
[ROW][C]0.34[/C][C]331.825351886135[/C][C]34.5521141327648[/C][/ROW]
[ROW][C]0.35[/C][C]340.22003734492[/C][C]34.4362661100874[/C][/ROW]
[ROW][C]0.36[/C][C]348.510171474033[/C][C]34.0240090253754[/C][/ROW]
[ROW][C]0.37[/C][C]356.649222040045[/C][C]33.4294267537765[/C][/ROW]
[ROW][C]0.38[/C][C]364.616560872121[/C][C]32.8082379168084[/C][/ROW]
[ROW][C]0.39[/C][C]372.420820861866[/C][C]32.3030036310613[/C][/ROW]
[ROW][C]0.4[/C][C]380.093246486438[/C][C]31.9973563010565[/C][/ROW]
[ROW][C]0.41[/C][C]387.674134817301[/C][C]31.8911514539018[/C][/ROW]
[ROW][C]0.42[/C][C]395.197458651919[/C][C]31.9051009296703[/C][/ROW]
[ROW][C]0.43[/C][C]402.678910634121[/C][C]31.9152560289462[/C][/ROW]
[ROW][C]0.44[/C][C]410.111004327348[/C][C]31.8010182704446[/C][/ROW]
[ROW][C]0.45[/C][C]417.466175168531[/C][C]31.4782927940673[/C][/ROW]
[ROW][C]0.46[/C][C]424.706019386891[/C][C]30.9268510897436[/C][/ROW]
[ROW][C]0.47[/C][C]431.792854254926[/C][C]30.1896162613602[/C][/ROW]
[ROW][C]0.48[/C][C]438.699301558225[/C][C]29.3480417983933[/C][/ROW]
[ROW][C]0.49[/C][C]445.412666591371[/C][C]28.488696492307[/C][/ROW]
[ROW][C]0.5[/C][C]451.933028487462[/C][C]27.6711189758035[/C][/ROW]
[ROW][C]0.51[/C][C]458.266330269272[/C][C]26.9049323838285[/C][/ROW]
[ROW][C]0.52[/C][C]464.415478928973[/C][C]26.1479429105724[/C][/ROW]
[ROW][C]0.53[/C][C]470.372957432588[/C][C]25.3276729839059[/C][/ROW]
[ROW][C]0.54[/C][C]476.117636144745[/C][C]24.3698515154264[/C][/ROW]
[ROW][C]0.55[/C][C]481.616770477101[/C][C]23.2245145791915[/C][/ROW]
[ROW][C]0.56[/C][C]486.832293584256[/C][C]21.8845769565821[/C][/ROW]
[ROW][C]0.57[/C][C]491.729153149902[/C][C]20.3854258988736[/C][/ROW]
[ROW][C]0.58[/C][C]496.283016440931[/C][C]18.7958052921737[/C][/ROW]
[ROW][C]0.59[/C][C]500.485192986416[/C][C]17.2017704179883[/C][/ROW]
[ROW][C]0.6[/C][C]504.343765405942[/C][C]15.6803765950132[/C][/ROW]
[ROW][C]0.61[/C][C]507.881175906072[/C][C]14.2927894241657[/C][/ROW]
[ROW][C]0.62[/C][C]511.129442898947[/C][C]13.0700571308277[/C][/ROW]
[ROW][C]0.63[/C][C]514.124548363815[/C][C]12.0145711484740[/C][/ROW]
[ROW][C]0.64[/C][C]516.901369328225[/C][C]11.1105217377917[/C][/ROW]
[ROW][C]0.65[/C][C]519.490037615864[/C][C]10.3276718580142[/C][/ROW]
[ROW][C]0.66[/C][C]521.914059551969[/C][C]9.63435184111126[/C][/ROW]
[ROW][C]0.67[/C][C]524.19009457984[/C][C]8.99906857470919[/C][/ROW]
[ROW][C]0.68[/C][C]526.329034525045[/C][C]8.39893322191119[/C][/ROW]
[ROW][C]0.69[/C][C]528.337903603423[/C][C]7.82223732301449[/C][/ROW]
[ROW][C]0.7[/C][C]530.222053184441[/C][C]7.2638926518181[/C][/ROW]
[ROW][C]0.71[/C][C]531.987134212418[/C][C]6.73065866340749[/C][/ROW]
[ROW][C]0.72[/C][C]533.640415403167[/C][C]6.23227913011861[/C][/ROW]
[ROW][C]0.73[/C][C]535.191193290526[/C][C]5.77776868294913[/C][/ROW]
[ROW][C]0.74[/C][C]536.650276329812[/C][C]5.37438804875496[/C][/ROW]
[ROW][C]0.75[/C][C]538.02873971205[/C][C]5.02062458235084[/C][/ROW]
[ROW][C]0.76[/C][C]539.336275893169[/C][C]4.70691752099856[/C][/ROW]
[ROW][C]0.77[/C][C]540.579518655232[/C][C]4.42017550514289[/C][/ROW]
[ROW][C]0.78[/C][C]541.760769519399[/C][C]4.14138561369919[/C][/ROW]
[ROW][C]0.79[/C][C]542.877647564899[/C][C]3.85300939405736[/C][/ROW]
[ROW][C]0.8[/C][C]543.924233201092[/C][C]3.5422374978093[/C][/ROW]
[ROW][C]0.81[/C][C]544.894084829765[/C][C]3.20732128331394[/C][/ROW]
[ROW][C]0.82[/C][C]545.784915416114[/C][C]2.86526014831874[/C][/ROW]
[ROW][C]0.83[/C][C]546.603793953786[/C][C]2.55324073271280[/C][/ROW]
[ROW][C]0.84[/C][C]547.370847205867[/C][C]2.32107980225326[/C][/ROW]
[ROW][C]0.85[/C][C]548.119104602695[/C][C]2.21445015657297[/C][/ROW]
[ROW][C]0.86[/C][C]548.888824123616[/C][C]2.25116743217753[/C][/ROW]
[ROW][C]0.87[/C][C]549.716621132912[/C][C]2.39713114134293[/C][/ROW]
[ROW][C]0.88[/C][C]550.622906485154[/C][C]2.57362728520226[/C][/ROW]
[ROW][C]0.89[/C][C]551.604689778628[/C][C]2.69006491324855[/C][/ROW]
[ROW][C]0.9[/C][C]552.642483750559[/C][C]2.69258514014006[/C][/ROW]
[ROW][C]0.91[/C][C]553.726235048457[/C][C]2.61653436412006[/C][/ROW]
[ROW][C]0.92[/C][C]554.893314628379[/C][C]2.61623087322605[/C][/ROW]
[ROW][C]0.93[/C][C]556.255477677382[/C][C]2.90332308021827[/C][/ROW]
[ROW][C]0.94[/C][C]557.985317890631[/C][C]3.54525025584408[/C][/ROW]
[ROW][C]0.95[/C][C]560.249652046562[/C][C]4.34771153225743[/C][/ROW]
[ROW][C]0.96[/C][C]563.103362064249[/C][C]4.9602306117343[/C][/ROW]
[ROW][C]0.97[/C][C]566.362411279283[/C][C]4.95723774064941[/C][/ROW]
[ROW][C]0.98[/C][C]569.519190595014[/C][C]3.88808474951065[/C][/ROW]
[ROW][C]0.99[/C][C]571.895307282491[/C][C]1.98828328504186[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78939&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78939&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
0.0144.891817765337710.6512560759079
0.0256.140430286866614.2613241331107
0.0367.939460600027816.0896663219687
0.0479.143392657287717.3595207320544
0.0589.602074083241918.0303829053681
0.0699.214045099590817.6193495587259
0.07107.83643014042716.5775649630189
0.08115.4933475050915.7348009747685
0.09122.43123650622815.5877137333001
0.1129.01404889350416.294422874694
0.11135.61216156066717.8814329315260
0.12142.53479710449920.2051804972807
0.13149.97950590471722.8582303023717
0.14157.99279513674125.2770956283849
0.15166.46948064205726.9999980945271
0.16175.20859208802427.8853529780026
0.17184.00548443820028.1614644432442
0.18192.73385319292128.2831350556292
0.19201.37863323903128.6809762224573
0.2210.01164480036529.5455266245487
0.21218.73220310609730.7714402942481
0.22227.60712234460532.0674072436502
0.23236.63684494823233.1174756244918
0.24245.75653493378533.7110889543608
0.25254.86438324909133.8037468780001
0.26263.86067376006033.5116868676023
0.27272.68103042130233.0575631540518
0.28281.31290576661532.6870921736768
0.29289.79219185050632.5852178538517
0.3298.18393216863132.8117291541191
0.31306.55564965376133.2949096126824
0.32314.95299005339333.8690333638042
0.33323.38539278288634.3392396605931
0.34331.82535188613534.5521141327648
0.35340.2200373449234.4362661100874
0.36348.51017147403334.0240090253754
0.37356.64922204004533.4294267537765
0.38364.61656087212132.8082379168084
0.39372.42082086186632.3030036310613
0.4380.09324648643831.9973563010565
0.41387.67413481730131.8911514539018
0.42395.19745865191931.9051009296703
0.43402.67891063412131.9152560289462
0.44410.11100432734831.8010182704446
0.45417.46617516853131.4782927940673
0.46424.70601938689130.9268510897436
0.47431.79285425492630.1896162613602
0.48438.69930155822529.3480417983933
0.49445.41266659137128.488696492307
0.5451.93302848746227.6711189758035
0.51458.26633026927226.9049323838285
0.52464.41547892897326.1479429105724
0.53470.37295743258825.3276729839059
0.54476.11763614474524.3698515154264
0.55481.61677047710123.2245145791915
0.56486.83229358425621.8845769565821
0.57491.72915314990220.3854258988736
0.58496.28301644093118.7958052921737
0.59500.48519298641617.2017704179883
0.6504.34376540594215.6803765950132
0.61507.88117590607214.2927894241657
0.62511.12944289894713.0700571308277
0.63514.12454836381512.0145711484740
0.64516.90136932822511.1105217377917
0.65519.49003761586410.3276718580142
0.66521.9140595519699.63435184111126
0.67524.190094579848.99906857470919
0.68526.3290345250458.39893322191119
0.69528.3379036034237.82223732301449
0.7530.2220531844417.2638926518181
0.71531.9871342124186.73065866340749
0.72533.6404154031676.23227913011861
0.73535.1911932905265.77776868294913
0.74536.6502763298125.37438804875496
0.75538.028739712055.02062458235084
0.76539.3362758931694.70691752099856
0.77540.5795186552324.42017550514289
0.78541.7607695193994.14138561369919
0.79542.8776475648993.85300939405736
0.8543.9242332010923.5422374978093
0.81544.8940848297653.20732128331394
0.82545.7849154161142.86526014831874
0.83546.6037939537862.55324073271280
0.84547.3708472058672.32107980225326
0.85548.1191046026952.21445015657297
0.86548.8888241236162.25116743217753
0.87549.7166211329122.39713114134293
0.88550.6229064851542.57362728520226
0.89551.6046897786282.69006491324855
0.9552.6424837505592.69258514014006
0.91553.7262350484572.61653436412006
0.92554.8933146283792.61623087322605
0.93556.2554776773822.90332308021827
0.94557.9853178906313.54525025584408
0.95560.2496520465624.34771153225743
0.96563.1033620642494.9602306117343
0.97566.3624112792834.95723774064941
0.98569.5191905950143.88808474951065
0.99571.8953072824911.98828328504186


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')