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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 07 Oct 2014 10:06:53 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/07/t1412673094gkwtfe45kw20svt.htm/, Retrieved Fri, 10 May 2024 03:59:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239110, Retrieved Fri, 10 May 2024 03:59:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

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] [] [2014-10-07 09:06:53] [763efaac14c0875c2599bc8d06724864] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18293.9
18613.4
18728.5
20091.8
18947.2
20124.9
19819.2
15908.6
19927.4
19551.9
15588.6
14206.2
13566.7
13941.5
14964.1
14086
13505.1
15300.4
14725.2
12484.9
16082.6
15915.8
15916.1
15713
14746
15253.2
18384.3
16848.5
16485.5
19257.1
17093.4
15700.1
19124.3
18640.8
18439.2
17106.3
18347.7
19372.7
22263.8
19422.9
21268.6
20310
19256
17535.9
19857.4
19628.4
19727.5
18112.2
19080.2
20684.6
22537.7
19954.6
20230.2
20445.5
19615.3
18071.6
19287.2
21031.4
19860.9
17671.3
19359.2
19287
21498
20859.7
20833.1
20318.8
21375.9
17403.4
21050.1
22010.2
20372.1
19028.4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239110&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239110&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239110&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112755.2938897623793.219663490945
0.0213115.2917513905549.745678839928
0.0313433.0340348298406.84152678142
0.0413679.2269920623372.665268824379
0.0513876.7315666357387.835079757114
0.0614051.1390580382414.3796018593
0.0714216.3122598206439.82738953674
0.0814377.0794292974459.429348348759
0.0914534.011368223470.918408347971
0.114686.1959161272474.187244579097
0.1114832.4517093123470.653346555642
0.1214971.8257140784462.256805528312
0.1315103.7830890495450.731226479974
0.1415228.2563029786437.702073165171
0.1515345.6451468746424.97506134506
0.1615456.8130144817414.875434084683
0.1715563.0773792272410.087011809376
0.1815666.1637463802413.208017080268
0.1915768.0938847529426.112376418284
0.215871.0024967827449.197448401642
0.2115976.9050754883481.195080982337
0.2216087.459840443519.43545734592
0.2316203.77183487560.377735117512
0.2416326.2776474692600.305050568126
0.2516454.7294273485635.869304184623
0.2616588.273688902664.546597072482
0.2716725.6006712872684.747994592114
0.2816865.1287017063695.929451482475
0.2917005.1870385828698.419514170928
0.317144.1686944343693.058615274228
0.3117280.6379744719680.972755371956
0.3217413.3912261131663.373342702547
0.3317541.4796076454641.475778749507
0.3417664.2074355924616.242210862358
0.3517781.1189166628588.774637639652
0.3617891.9815781188560.006175661573
0.3717996.7690221551531.011715795454
0.3818095.641072136502.761071595854
0.3918188.9173589817476.232921403883
0.418277.0411543711452.135308696322
0.4118360.5330453999430.958127397421
0.4218439.9375752886412.763852705771
0.4318515.7689315533397.201819393027
0.4418588.4632071206383.695896756834
0.4518658.3443280298371.397885977609
0.4618725.6086383478359.467148046026
0.4718790.3299686671347.147135828798
0.4818852.4835717635333.967858801138
0.4918911.9843209378319.681834825692
0.518968.7325601758304.31060515905
0.5119022.6602213448288.277134380707
0.5219073.7702668395272.124629705638
0.5319122.163958873256.589503454494
0.5419168.0525650638242.357412548907
0.5519211.752514428230.173926767776
0.5619253.6653719982220.535862080638
0.5719294.2460150035213.700699245661
0.5819333.9638515974209.685238109292
0.5919373.262683404208.15797520938
0.619412.5248126386208.614032577291
0.6119452.0442504279210.368105247453
0.6219492.0124929498212.751579922472
0.6319532.5184693536215.072011631595
0.6419573.5621660258216.848487225574
0.6519615.0793749225217.814029376623
0.6619656.9732984279217.848139917422
0.6719699.1476610908217.066705005582
0.6819741.5357791521215.750073768375
0.6919784.1208811374214.312498089542
0.719826.9448609374213.080820555539
0.7119870.1053559912212.434532595013
0.7219913.7440771579212.515197839488
0.7319958.0319088873213.361809375229
0.7420003.1575402825214.917595117625
0.7520049.3254791052217.104816369112
0.7620096.7659016782219.820293275875
0.7720145.7533796639223.259402678108
0.7820196.6255924262227.732588285297
0.7920249.7890330866233.659864554358
0.820305.6990150463241.366424482515
0.8120364.8076735299250.790246103616
0.8220427.4857206309261.373177223404
0.8320493.9381837425271.978727564318
0.8420564.1455492271281.178653030323
0.8520637.8636146075287.581818721849
0.8620714.7049194334290.404449081114
0.8720794.3050171319289.718304355018
0.8820876.5574717544286.614229608073
0.8920961.892203433283.078565615811
0.921051.5710700495281.719279757384
0.9121147.9581699163285.490847363079
0.9221254.6513857344297.591753466569
0.9321376.231553954320.449220901826
0.9421517.3071950498352.76282671766
0.9521680.7396720975385.453355048474
0.9621865.4954490576401.286951416792
0.9722064.7885645742383.388110768063
0.9822263.7857748324333.089412403419
0.9922434.9500207465284.312918907408

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12755.2938897623 & 793.219663490945 \tabularnewline
0.02 & 13115.2917513905 & 549.745678839928 \tabularnewline
0.03 & 13433.0340348298 & 406.84152678142 \tabularnewline
0.04 & 13679.2269920623 & 372.665268824379 \tabularnewline
0.05 & 13876.7315666357 & 387.835079757114 \tabularnewline
0.06 & 14051.1390580382 & 414.3796018593 \tabularnewline
0.07 & 14216.3122598206 & 439.82738953674 \tabularnewline
0.08 & 14377.0794292974 & 459.429348348759 \tabularnewline
0.09 & 14534.011368223 & 470.918408347971 \tabularnewline
0.1 & 14686.1959161272 & 474.187244579097 \tabularnewline
0.11 & 14832.4517093123 & 470.653346555642 \tabularnewline
0.12 & 14971.8257140784 & 462.256805528312 \tabularnewline
0.13 & 15103.7830890495 & 450.731226479974 \tabularnewline
0.14 & 15228.2563029786 & 437.702073165171 \tabularnewline
0.15 & 15345.6451468746 & 424.97506134506 \tabularnewline
0.16 & 15456.8130144817 & 414.875434084683 \tabularnewline
0.17 & 15563.0773792272 & 410.087011809376 \tabularnewline
0.18 & 15666.1637463802 & 413.208017080268 \tabularnewline
0.19 & 15768.0938847529 & 426.112376418284 \tabularnewline
0.2 & 15871.0024967827 & 449.197448401642 \tabularnewline
0.21 & 15976.9050754883 & 481.195080982337 \tabularnewline
0.22 & 16087.459840443 & 519.43545734592 \tabularnewline
0.23 & 16203.77183487 & 560.377735117512 \tabularnewline
0.24 & 16326.2776474692 & 600.305050568126 \tabularnewline
0.25 & 16454.7294273485 & 635.869304184623 \tabularnewline
0.26 & 16588.273688902 & 664.546597072482 \tabularnewline
0.27 & 16725.6006712872 & 684.747994592114 \tabularnewline
0.28 & 16865.1287017063 & 695.929451482475 \tabularnewline
0.29 & 17005.1870385828 & 698.419514170928 \tabularnewline
0.3 & 17144.1686944343 & 693.058615274228 \tabularnewline
0.31 & 17280.6379744719 & 680.972755371956 \tabularnewline
0.32 & 17413.3912261131 & 663.373342702547 \tabularnewline
0.33 & 17541.4796076454 & 641.475778749507 \tabularnewline
0.34 & 17664.2074355924 & 616.242210862358 \tabularnewline
0.35 & 17781.1189166628 & 588.774637639652 \tabularnewline
0.36 & 17891.9815781188 & 560.006175661573 \tabularnewline
0.37 & 17996.7690221551 & 531.011715795454 \tabularnewline
0.38 & 18095.641072136 & 502.761071595854 \tabularnewline
0.39 & 18188.9173589817 & 476.232921403883 \tabularnewline
0.4 & 18277.0411543711 & 452.135308696322 \tabularnewline
0.41 & 18360.5330453999 & 430.958127397421 \tabularnewline
0.42 & 18439.9375752886 & 412.763852705771 \tabularnewline
0.43 & 18515.7689315533 & 397.201819393027 \tabularnewline
0.44 & 18588.4632071206 & 383.695896756834 \tabularnewline
0.45 & 18658.3443280298 & 371.397885977609 \tabularnewline
0.46 & 18725.6086383478 & 359.467148046026 \tabularnewline
0.47 & 18790.3299686671 & 347.147135828798 \tabularnewline
0.48 & 18852.4835717635 & 333.967858801138 \tabularnewline
0.49 & 18911.9843209378 & 319.681834825692 \tabularnewline
0.5 & 18968.7325601758 & 304.31060515905 \tabularnewline
0.51 & 19022.6602213448 & 288.277134380707 \tabularnewline
0.52 & 19073.7702668395 & 272.124629705638 \tabularnewline
0.53 & 19122.163958873 & 256.589503454494 \tabularnewline
0.54 & 19168.0525650638 & 242.357412548907 \tabularnewline
0.55 & 19211.752514428 & 230.173926767776 \tabularnewline
0.56 & 19253.6653719982 & 220.535862080638 \tabularnewline
0.57 & 19294.2460150035 & 213.700699245661 \tabularnewline
0.58 & 19333.9638515974 & 209.685238109292 \tabularnewline
0.59 & 19373.262683404 & 208.15797520938 \tabularnewline
0.6 & 19412.5248126386 & 208.614032577291 \tabularnewline
0.61 & 19452.0442504279 & 210.368105247453 \tabularnewline
0.62 & 19492.0124929498 & 212.751579922472 \tabularnewline
0.63 & 19532.5184693536 & 215.072011631595 \tabularnewline
0.64 & 19573.5621660258 & 216.848487225574 \tabularnewline
0.65 & 19615.0793749225 & 217.814029376623 \tabularnewline
0.66 & 19656.9732984279 & 217.848139917422 \tabularnewline
0.67 & 19699.1476610908 & 217.066705005582 \tabularnewline
0.68 & 19741.5357791521 & 215.750073768375 \tabularnewline
0.69 & 19784.1208811374 & 214.312498089542 \tabularnewline
0.7 & 19826.9448609374 & 213.080820555539 \tabularnewline
0.71 & 19870.1053559912 & 212.434532595013 \tabularnewline
0.72 & 19913.7440771579 & 212.515197839488 \tabularnewline
0.73 & 19958.0319088873 & 213.361809375229 \tabularnewline
0.74 & 20003.1575402825 & 214.917595117625 \tabularnewline
0.75 & 20049.3254791052 & 217.104816369112 \tabularnewline
0.76 & 20096.7659016782 & 219.820293275875 \tabularnewline
0.77 & 20145.7533796639 & 223.259402678108 \tabularnewline
0.78 & 20196.6255924262 & 227.732588285297 \tabularnewline
0.79 & 20249.7890330866 & 233.659864554358 \tabularnewline
0.8 & 20305.6990150463 & 241.366424482515 \tabularnewline
0.81 & 20364.8076735299 & 250.790246103616 \tabularnewline
0.82 & 20427.4857206309 & 261.373177223404 \tabularnewline
0.83 & 20493.9381837425 & 271.978727564318 \tabularnewline
0.84 & 20564.1455492271 & 281.178653030323 \tabularnewline
0.85 & 20637.8636146075 & 287.581818721849 \tabularnewline
0.86 & 20714.7049194334 & 290.404449081114 \tabularnewline
0.87 & 20794.3050171319 & 289.718304355018 \tabularnewline
0.88 & 20876.5574717544 & 286.614229608073 \tabularnewline
0.89 & 20961.892203433 & 283.078565615811 \tabularnewline
0.9 & 21051.5710700495 & 281.719279757384 \tabularnewline
0.91 & 21147.9581699163 & 285.490847363079 \tabularnewline
0.92 & 21254.6513857344 & 297.591753466569 \tabularnewline
0.93 & 21376.231553954 & 320.449220901826 \tabularnewline
0.94 & 21517.3071950498 & 352.76282671766 \tabularnewline
0.95 & 21680.7396720975 & 385.453355048474 \tabularnewline
0.96 & 21865.4954490576 & 401.286951416792 \tabularnewline
0.97 & 22064.7885645742 & 383.388110768063 \tabularnewline
0.98 & 22263.7857748324 & 333.089412403419 \tabularnewline
0.99 & 22434.9500207465 & 284.312918907408 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239110&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]12755.2938897623[/C][C]793.219663490945[/C][/ROW]
[ROW][C]0.02[/C][C]13115.2917513905[/C][C]549.745678839928[/C][/ROW]
[ROW][C]0.03[/C][C]13433.0340348298[/C][C]406.84152678142[/C][/ROW]
[ROW][C]0.04[/C][C]13679.2269920623[/C][C]372.665268824379[/C][/ROW]
[ROW][C]0.05[/C][C]13876.7315666357[/C][C]387.835079757114[/C][/ROW]
[ROW][C]0.06[/C][C]14051.1390580382[/C][C]414.3796018593[/C][/ROW]
[ROW][C]0.07[/C][C]14216.3122598206[/C][C]439.82738953674[/C][/ROW]
[ROW][C]0.08[/C][C]14377.0794292974[/C][C]459.429348348759[/C][/ROW]
[ROW][C]0.09[/C][C]14534.011368223[/C][C]470.918408347971[/C][/ROW]
[ROW][C]0.1[/C][C]14686.1959161272[/C][C]474.187244579097[/C][/ROW]
[ROW][C]0.11[/C][C]14832.4517093123[/C][C]470.653346555642[/C][/ROW]
[ROW][C]0.12[/C][C]14971.8257140784[/C][C]462.256805528312[/C][/ROW]
[ROW][C]0.13[/C][C]15103.7830890495[/C][C]450.731226479974[/C][/ROW]
[ROW][C]0.14[/C][C]15228.2563029786[/C][C]437.702073165171[/C][/ROW]
[ROW][C]0.15[/C][C]15345.6451468746[/C][C]424.97506134506[/C][/ROW]
[ROW][C]0.16[/C][C]15456.8130144817[/C][C]414.875434084683[/C][/ROW]
[ROW][C]0.17[/C][C]15563.0773792272[/C][C]410.087011809376[/C][/ROW]
[ROW][C]0.18[/C][C]15666.1637463802[/C][C]413.208017080268[/C][/ROW]
[ROW][C]0.19[/C][C]15768.0938847529[/C][C]426.112376418284[/C][/ROW]
[ROW][C]0.2[/C][C]15871.0024967827[/C][C]449.197448401642[/C][/ROW]
[ROW][C]0.21[/C][C]15976.9050754883[/C][C]481.195080982337[/C][/ROW]
[ROW][C]0.22[/C][C]16087.459840443[/C][C]519.43545734592[/C][/ROW]
[ROW][C]0.23[/C][C]16203.77183487[/C][C]560.377735117512[/C][/ROW]
[ROW][C]0.24[/C][C]16326.2776474692[/C][C]600.305050568126[/C][/ROW]
[ROW][C]0.25[/C][C]16454.7294273485[/C][C]635.869304184623[/C][/ROW]
[ROW][C]0.26[/C][C]16588.273688902[/C][C]664.546597072482[/C][/ROW]
[ROW][C]0.27[/C][C]16725.6006712872[/C][C]684.747994592114[/C][/ROW]
[ROW][C]0.28[/C][C]16865.1287017063[/C][C]695.929451482475[/C][/ROW]
[ROW][C]0.29[/C][C]17005.1870385828[/C][C]698.419514170928[/C][/ROW]
[ROW][C]0.3[/C][C]17144.1686944343[/C][C]693.058615274228[/C][/ROW]
[ROW][C]0.31[/C][C]17280.6379744719[/C][C]680.972755371956[/C][/ROW]
[ROW][C]0.32[/C][C]17413.3912261131[/C][C]663.373342702547[/C][/ROW]
[ROW][C]0.33[/C][C]17541.4796076454[/C][C]641.475778749507[/C][/ROW]
[ROW][C]0.34[/C][C]17664.2074355924[/C][C]616.242210862358[/C][/ROW]
[ROW][C]0.35[/C][C]17781.1189166628[/C][C]588.774637639652[/C][/ROW]
[ROW][C]0.36[/C][C]17891.9815781188[/C][C]560.006175661573[/C][/ROW]
[ROW][C]0.37[/C][C]17996.7690221551[/C][C]531.011715795454[/C][/ROW]
[ROW][C]0.38[/C][C]18095.641072136[/C][C]502.761071595854[/C][/ROW]
[ROW][C]0.39[/C][C]18188.9173589817[/C][C]476.232921403883[/C][/ROW]
[ROW][C]0.4[/C][C]18277.0411543711[/C][C]452.135308696322[/C][/ROW]
[ROW][C]0.41[/C][C]18360.5330453999[/C][C]430.958127397421[/C][/ROW]
[ROW][C]0.42[/C][C]18439.9375752886[/C][C]412.763852705771[/C][/ROW]
[ROW][C]0.43[/C][C]18515.7689315533[/C][C]397.201819393027[/C][/ROW]
[ROW][C]0.44[/C][C]18588.4632071206[/C][C]383.695896756834[/C][/ROW]
[ROW][C]0.45[/C][C]18658.3443280298[/C][C]371.397885977609[/C][/ROW]
[ROW][C]0.46[/C][C]18725.6086383478[/C][C]359.467148046026[/C][/ROW]
[ROW][C]0.47[/C][C]18790.3299686671[/C][C]347.147135828798[/C][/ROW]
[ROW][C]0.48[/C][C]18852.4835717635[/C][C]333.967858801138[/C][/ROW]
[ROW][C]0.49[/C][C]18911.9843209378[/C][C]319.681834825692[/C][/ROW]
[ROW][C]0.5[/C][C]18968.7325601758[/C][C]304.31060515905[/C][/ROW]
[ROW][C]0.51[/C][C]19022.6602213448[/C][C]288.277134380707[/C][/ROW]
[ROW][C]0.52[/C][C]19073.7702668395[/C][C]272.124629705638[/C][/ROW]
[ROW][C]0.53[/C][C]19122.163958873[/C][C]256.589503454494[/C][/ROW]
[ROW][C]0.54[/C][C]19168.0525650638[/C][C]242.357412548907[/C][/ROW]
[ROW][C]0.55[/C][C]19211.752514428[/C][C]230.173926767776[/C][/ROW]
[ROW][C]0.56[/C][C]19253.6653719982[/C][C]220.535862080638[/C][/ROW]
[ROW][C]0.57[/C][C]19294.2460150035[/C][C]213.700699245661[/C][/ROW]
[ROW][C]0.58[/C][C]19333.9638515974[/C][C]209.685238109292[/C][/ROW]
[ROW][C]0.59[/C][C]19373.262683404[/C][C]208.15797520938[/C][/ROW]
[ROW][C]0.6[/C][C]19412.5248126386[/C][C]208.614032577291[/C][/ROW]
[ROW][C]0.61[/C][C]19452.0442504279[/C][C]210.368105247453[/C][/ROW]
[ROW][C]0.62[/C][C]19492.0124929498[/C][C]212.751579922472[/C][/ROW]
[ROW][C]0.63[/C][C]19532.5184693536[/C][C]215.072011631595[/C][/ROW]
[ROW][C]0.64[/C][C]19573.5621660258[/C][C]216.848487225574[/C][/ROW]
[ROW][C]0.65[/C][C]19615.0793749225[/C][C]217.814029376623[/C][/ROW]
[ROW][C]0.66[/C][C]19656.9732984279[/C][C]217.848139917422[/C][/ROW]
[ROW][C]0.67[/C][C]19699.1476610908[/C][C]217.066705005582[/C][/ROW]
[ROW][C]0.68[/C][C]19741.5357791521[/C][C]215.750073768375[/C][/ROW]
[ROW][C]0.69[/C][C]19784.1208811374[/C][C]214.312498089542[/C][/ROW]
[ROW][C]0.7[/C][C]19826.9448609374[/C][C]213.080820555539[/C][/ROW]
[ROW][C]0.71[/C][C]19870.1053559912[/C][C]212.434532595013[/C][/ROW]
[ROW][C]0.72[/C][C]19913.7440771579[/C][C]212.515197839488[/C][/ROW]
[ROW][C]0.73[/C][C]19958.0319088873[/C][C]213.361809375229[/C][/ROW]
[ROW][C]0.74[/C][C]20003.1575402825[/C][C]214.917595117625[/C][/ROW]
[ROW][C]0.75[/C][C]20049.3254791052[/C][C]217.104816369112[/C][/ROW]
[ROW][C]0.76[/C][C]20096.7659016782[/C][C]219.820293275875[/C][/ROW]
[ROW][C]0.77[/C][C]20145.7533796639[/C][C]223.259402678108[/C][/ROW]
[ROW][C]0.78[/C][C]20196.6255924262[/C][C]227.732588285297[/C][/ROW]
[ROW][C]0.79[/C][C]20249.7890330866[/C][C]233.659864554358[/C][/ROW]
[ROW][C]0.8[/C][C]20305.6990150463[/C][C]241.366424482515[/C][/ROW]
[ROW][C]0.81[/C][C]20364.8076735299[/C][C]250.790246103616[/C][/ROW]
[ROW][C]0.82[/C][C]20427.4857206309[/C][C]261.373177223404[/C][/ROW]
[ROW][C]0.83[/C][C]20493.9381837425[/C][C]271.978727564318[/C][/ROW]
[ROW][C]0.84[/C][C]20564.1455492271[/C][C]281.178653030323[/C][/ROW]
[ROW][C]0.85[/C][C]20637.8636146075[/C][C]287.581818721849[/C][/ROW]
[ROW][C]0.86[/C][C]20714.7049194334[/C][C]290.404449081114[/C][/ROW]
[ROW][C]0.87[/C][C]20794.3050171319[/C][C]289.718304355018[/C][/ROW]
[ROW][C]0.88[/C][C]20876.5574717544[/C][C]286.614229608073[/C][/ROW]
[ROW][C]0.89[/C][C]20961.892203433[/C][C]283.078565615811[/C][/ROW]
[ROW][C]0.9[/C][C]21051.5710700495[/C][C]281.719279757384[/C][/ROW]
[ROW][C]0.91[/C][C]21147.9581699163[/C][C]285.490847363079[/C][/ROW]
[ROW][C]0.92[/C][C]21254.6513857344[/C][C]297.591753466569[/C][/ROW]
[ROW][C]0.93[/C][C]21376.231553954[/C][C]320.449220901826[/C][/ROW]
[ROW][C]0.94[/C][C]21517.3071950498[/C][C]352.76282671766[/C][/ROW]
[ROW][C]0.95[/C][C]21680.7396720975[/C][C]385.453355048474[/C][/ROW]
[ROW][C]0.96[/C][C]21865.4954490576[/C][C]401.286951416792[/C][/ROW]
[ROW][C]0.97[/C][C]22064.7885645742[/C][C]383.388110768063[/C][/ROW]
[ROW][C]0.98[/C][C]22263.7857748324[/C][C]333.089412403419[/C][/ROW]
[ROW][C]0.99[/C][C]22434.9500207465[/C][C]284.312918907408[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239110&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239110&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
0.0112755.2938897623793.219663490945
0.0213115.2917513905549.745678839928
0.0313433.0340348298406.84152678142
0.0413679.2269920623372.665268824379
0.0513876.7315666357387.835079757114
0.0614051.1390580382414.3796018593
0.0714216.3122598206439.82738953674
0.0814377.0794292974459.429348348759
0.0914534.011368223470.918408347971
0.114686.1959161272474.187244579097
0.1114832.4517093123470.653346555642
0.1214971.8257140784462.256805528312
0.1315103.7830890495450.731226479974
0.1415228.2563029786437.702073165171
0.1515345.6451468746424.97506134506
0.1615456.8130144817414.875434084683
0.1715563.0773792272410.087011809376
0.1815666.1637463802413.208017080268
0.1915768.0938847529426.112376418284
0.215871.0024967827449.197448401642
0.2115976.9050754883481.195080982337
0.2216087.459840443519.43545734592
0.2316203.77183487560.377735117512
0.2416326.2776474692600.305050568126
0.2516454.7294273485635.869304184623
0.2616588.273688902664.546597072482
0.2716725.6006712872684.747994592114
0.2816865.1287017063695.929451482475
0.2917005.1870385828698.419514170928
0.317144.1686944343693.058615274228
0.3117280.6379744719680.972755371956
0.3217413.3912261131663.373342702547
0.3317541.4796076454641.475778749507
0.3417664.2074355924616.242210862358
0.3517781.1189166628588.774637639652
0.3617891.9815781188560.006175661573
0.3717996.7690221551531.011715795454
0.3818095.641072136502.761071595854
0.3918188.9173589817476.232921403883
0.418277.0411543711452.135308696322
0.4118360.5330453999430.958127397421
0.4218439.9375752886412.763852705771
0.4318515.7689315533397.201819393027
0.4418588.4632071206383.695896756834
0.4518658.3443280298371.397885977609
0.4618725.6086383478359.467148046026
0.4718790.3299686671347.147135828798
0.4818852.4835717635333.967858801138
0.4918911.9843209378319.681834825692
0.518968.7325601758304.31060515905
0.5119022.6602213448288.277134380707
0.5219073.7702668395272.124629705638
0.5319122.163958873256.589503454494
0.5419168.0525650638242.357412548907
0.5519211.752514428230.173926767776
0.5619253.6653719982220.535862080638
0.5719294.2460150035213.700699245661
0.5819333.9638515974209.685238109292
0.5919373.262683404208.15797520938
0.619412.5248126386208.614032577291
0.6119452.0442504279210.368105247453
0.6219492.0124929498212.751579922472
0.6319532.5184693536215.072011631595
0.6419573.5621660258216.848487225574
0.6519615.0793749225217.814029376623
0.6619656.9732984279217.848139917422
0.6719699.1476610908217.066705005582
0.6819741.5357791521215.750073768375
0.6919784.1208811374214.312498089542
0.719826.9448609374213.080820555539
0.7119870.1053559912212.434532595013
0.7219913.7440771579212.515197839488
0.7319958.0319088873213.361809375229
0.7420003.1575402825214.917595117625
0.7520049.3254791052217.104816369112
0.7620096.7659016782219.820293275875
0.7720145.7533796639223.259402678108
0.7820196.6255924262227.732588285297
0.7920249.7890330866233.659864554358
0.820305.6990150463241.366424482515
0.8120364.8076735299250.790246103616
0.8220427.4857206309261.373177223404
0.8320493.9381837425271.978727564318
0.8420564.1455492271281.178653030323
0.8520637.8636146075287.581818721849
0.8620714.7049194334290.404449081114
0.8720794.3050171319289.718304355018
0.8820876.5574717544286.614229608073
0.8920961.892203433283.078565615811
0.921051.5710700495281.719279757384
0.9121147.9581699163285.490847363079
0.9221254.6513857344297.591753466569
0.9321376.231553954320.449220901826
0.9421517.3071950498352.76282671766
0.9521680.7396720975385.453355048474
0.9621865.4954490576401.286951416792
0.9722064.7885645742383.388110768063
0.9822263.7857748324333.089412403419
0.9922434.9500207465284.312918907408


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):
par3 <- '0.1'
par2 <- '0.90'
par1 <- '0.10'
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')