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*Unverified author*

R Software Module

rwasp_harrell_davis.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Sun, 15 Jan 2012 10:15:12 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Jan/15/t1326640653y8c1e46br6v6ype.htm/, Retrieved Fri, 03 May 2024 12:51:04 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=161084, Retrieved Fri, 03 May 2024 12:51:04 +0000

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No (this computation is public)

User-defined keywords

KDG201142

Estimated Impact

118

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Harrell-Davis Quantiles] [] [2012-01-15 15:15:12] [618e20b48371a4632e04cdc6ff96552f] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161084&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161084&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161084&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	98.8401657638162	0.108856977221089
0.02	98.9102188551296	0.140442751769532
0.03	98.997452378216	0.180255768795203
0.04	99.0932817981362	0.212562904680975
0.05	99.1922021727488	0.232000770760306
0.06	99.2898267469811	0.238720981266949
0.07	99.3825195493301	0.23462071586525
0.08	99.4675723098427	0.221605166106098
0.09	99.5432745309988	0.20203897039693
0.1	99.6088512823497	0.178586450601608
0.11	99.6643427412885	0.153906643239389
0.12	99.710439058908	0.130436020700126
0.13	99.7482708915579	0.109726642989337
0.14	99.7791812708214	0.0925982562740413
0.15	99.8045222468004	0.0790610745283214
0.16	99.8255139575624	0.0686420999747963
0.17	99.8431818034764	0.0606416622170216
0.18	99.8583625698882	0.0545758492283286
0.19	99.8717529642417	0.0504258358033238
0.2	99.8839687257269	0.0483188254008223
0.21	99.8955883266126	0.0487284627933649
0.22	99.9071677325033	0.0518544890924533
0.23	99.9192260871536	0.0574820714729582
0.24	99.9322121517861	0.0649109815872953
0.25	99.9464658684279	0.0735484817136633
0.26	99.9621888114516	0.0824930633940986
0.27	99.9794332054876	0.0909713737544001
0.28	99.9981136587885	0.0984896707089944
0.29	100.018040481971	0.104508196346584
0.3	100.03896946915	0.109050872263981
0.31	100.060660696936	0.112374924453052
0.32	100.082938154488	0.114870570263329
0.33	100.105742505677	0.117404267988815
0.34	100.129170587041	0.121155300245751
0.35	100.153497007719	0.12722519923034
0.36	100.179175195963	0.136550192885765
0.37	100.206817284753	0.150077562641006
0.38	100.237154247232	0.16834119245471
0.39	100.270979577832	0.191312352625286
0.4	100.309081436871	0.218720596838466
0.41	100.352169390568	0.249670942807286
0.42	100.400802562663	0.28317140858687
0.43	100.455326100861	0.317638578724387
0.44	100.515822347303	0.351655875497189
0.45	100.582082028378	0.383406589325069
0.46	100.653599201641	0.411414318563451
0.47	100.72959167371	0.434105967069162
0.48	100.809046209614	0.450318850110778
0.49	100.890785234242	0.459412049755446
0.5	100.973549137357	0.460974257947478
0.51	101.05608611675	0.455507533439992
0.52	101.137240181836	0.443603646508966
0.53	101.216027898576	0.426598837897042
0.54	101.291695899576	0.405796424572736
0.55	101.3637540121	0.382931897015298
0.56	101.431982622713	0.359516292954704
0.57	101.496416872656	0.337038903506763
0.58	101.557313627511	0.316629054453833
0.59	101.615109167632	0.299136751741518
0.6	101.670375801493	0.285183658029885
0.61	101.723784156472	0.275073366424091
0.62	101.776075241049	0.268846395638533
0.63	101.828043310463	0.266908652273531
0.64	101.880528009682	0.269271006493398
0.65	101.93441293543	0.27597694962343
0.66	101.990627935212	0.287454912849093
0.67	102.050153826203	0.303467075567401
0.68	102.114029860972	0.324365853994311
0.69	102.183364930916	0.35013965808932
0.7	102.259352046521	0.38090469630547
0.71	102.343281671862	0.417089243330226
0.72	102.436543915972	0.458954830781436
0.73	102.540604762055	0.506952760165949
0.74	102.656940786458	0.560778703704387
0.75	102.786923209426	0.619952232837604
0.76	102.931656528441	0.682572457128955
0.77	103.091796568377	0.745674341684568
0.78	103.26739058371	0.805526651108095
0.79	103.45778877923	0.85818974037657
0.8	103.661664716308	0.900109769445444
0.81	103.877150812857	0.929162625732253
0.82	104.102054215665	0.944781933060615
0.83	104.334086846755	0.947953132371932
0.84	104.571042584534	0.940644683336824
0.85	104.810895136133	0.924517059011544
0.86	105.051860531906	0.900575661248616
0.87	105.292530838768	0.869431426012541
0.88	105.532189862035	0.832258737433605
0.89	105.771331776982	0.792508473471778
0.9	106.012232504094	0.756743656791738
0.91	106.259247319615	0.733252793396548
0.92	106.518442888797	0.727947442456926
0.93	106.796312998349	0.739494267113025
0.94	107.097683824443	0.756897711324075
0.95	107.42336753553	0.762229107537186
0.96	107.768335795439	0.735874733077106
0.97	108.120393104551	0.664017009000687
0.98	108.456904906877	0.551372874040063
0.99	108.736784840662	0.441740039896717

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.8401657638162 & 0.108856977221089 \tabularnewline
0.02 & 98.9102188551296 & 0.140442751769532 \tabularnewline
0.03 & 98.997452378216 & 0.180255768795203 \tabularnewline
0.04 & 99.0932817981362 & 0.212562904680975 \tabularnewline
0.05 & 99.1922021727488 & 0.232000770760306 \tabularnewline
0.06 & 99.2898267469811 & 0.238720981266949 \tabularnewline
0.07 & 99.3825195493301 & 0.23462071586525 \tabularnewline
0.08 & 99.4675723098427 & 0.221605166106098 \tabularnewline
0.09 & 99.5432745309988 & 0.20203897039693 \tabularnewline
0.1 & 99.6088512823497 & 0.178586450601608 \tabularnewline
0.11 & 99.6643427412885 & 0.153906643239389 \tabularnewline
0.12 & 99.710439058908 & 0.130436020700126 \tabularnewline
0.13 & 99.7482708915579 & 0.109726642989337 \tabularnewline
0.14 & 99.7791812708214 & 0.0925982562740413 \tabularnewline
0.15 & 99.8045222468004 & 0.0790610745283214 \tabularnewline
0.16 & 99.8255139575624 & 0.0686420999747963 \tabularnewline
0.17 & 99.8431818034764 & 0.0606416622170216 \tabularnewline
0.18 & 99.8583625698882 & 0.0545758492283286 \tabularnewline
0.19 & 99.8717529642417 & 0.0504258358033238 \tabularnewline
0.2 & 99.8839687257269 & 0.0483188254008223 \tabularnewline
0.21 & 99.8955883266126 & 0.0487284627933649 \tabularnewline
0.22 & 99.9071677325033 & 0.0518544890924533 \tabularnewline
0.23 & 99.9192260871536 & 0.0574820714729582 \tabularnewline
0.24 & 99.9322121517861 & 0.0649109815872953 \tabularnewline
0.25 & 99.9464658684279 & 0.0735484817136633 \tabularnewline
0.26 & 99.9621888114516 & 0.0824930633940986 \tabularnewline
0.27 & 99.9794332054876 & 0.0909713737544001 \tabularnewline
0.28 & 99.9981136587885 & 0.0984896707089944 \tabularnewline
0.29 & 100.018040481971 & 0.104508196346584 \tabularnewline
0.3 & 100.03896946915 & 0.109050872263981 \tabularnewline
0.31 & 100.060660696936 & 0.112374924453052 \tabularnewline
0.32 & 100.082938154488 & 0.114870570263329 \tabularnewline
0.33 & 100.105742505677 & 0.117404267988815 \tabularnewline
0.34 & 100.129170587041 & 0.121155300245751 \tabularnewline
0.35 & 100.153497007719 & 0.12722519923034 \tabularnewline
0.36 & 100.179175195963 & 0.136550192885765 \tabularnewline
0.37 & 100.206817284753 & 0.150077562641006 \tabularnewline
0.38 & 100.237154247232 & 0.16834119245471 \tabularnewline
0.39 & 100.270979577832 & 0.191312352625286 \tabularnewline
0.4 & 100.309081436871 & 0.218720596838466 \tabularnewline
0.41 & 100.352169390568 & 0.249670942807286 \tabularnewline
0.42 & 100.400802562663 & 0.28317140858687 \tabularnewline
0.43 & 100.455326100861 & 0.317638578724387 \tabularnewline
0.44 & 100.515822347303 & 0.351655875497189 \tabularnewline
0.45 & 100.582082028378 & 0.383406589325069 \tabularnewline
0.46 & 100.653599201641 & 0.411414318563451 \tabularnewline
0.47 & 100.72959167371 & 0.434105967069162 \tabularnewline
0.48 & 100.809046209614 & 0.450318850110778 \tabularnewline
0.49 & 100.890785234242 & 0.459412049755446 \tabularnewline
0.5 & 100.973549137357 & 0.460974257947478 \tabularnewline
0.51 & 101.05608611675 & 0.455507533439992 \tabularnewline
0.52 & 101.137240181836 & 0.443603646508966 \tabularnewline
0.53 & 101.216027898576 & 0.426598837897042 \tabularnewline
0.54 & 101.291695899576 & 0.405796424572736 \tabularnewline
0.55 & 101.3637540121 & 0.382931897015298 \tabularnewline
0.56 & 101.431982622713 & 0.359516292954704 \tabularnewline
0.57 & 101.496416872656 & 0.337038903506763 \tabularnewline
0.58 & 101.557313627511 & 0.316629054453833 \tabularnewline
0.59 & 101.615109167632 & 0.299136751741518 \tabularnewline
0.6 & 101.670375801493 & 0.285183658029885 \tabularnewline
0.61 & 101.723784156472 & 0.275073366424091 \tabularnewline
0.62 & 101.776075241049 & 0.268846395638533 \tabularnewline
0.63 & 101.828043310463 & 0.266908652273531 \tabularnewline
0.64 & 101.880528009682 & 0.269271006493398 \tabularnewline
0.65 & 101.93441293543 & 0.27597694962343 \tabularnewline
0.66 & 101.990627935212 & 0.287454912849093 \tabularnewline
0.67 & 102.050153826203 & 0.303467075567401 \tabularnewline
0.68 & 102.114029860972 & 0.324365853994311 \tabularnewline
0.69 & 102.183364930916 & 0.35013965808932 \tabularnewline
0.7 & 102.259352046521 & 0.38090469630547 \tabularnewline
0.71 & 102.343281671862 & 0.417089243330226 \tabularnewline
0.72 & 102.436543915972 & 0.458954830781436 \tabularnewline
0.73 & 102.540604762055 & 0.506952760165949 \tabularnewline
0.74 & 102.656940786458 & 0.560778703704387 \tabularnewline
0.75 & 102.786923209426 & 0.619952232837604 \tabularnewline
0.76 & 102.931656528441 & 0.682572457128955 \tabularnewline
0.77 & 103.091796568377 & 0.745674341684568 \tabularnewline
0.78 & 103.26739058371 & 0.805526651108095 \tabularnewline
0.79 & 103.45778877923 & 0.85818974037657 \tabularnewline
0.8 & 103.661664716308 & 0.900109769445444 \tabularnewline
0.81 & 103.877150812857 & 0.929162625732253 \tabularnewline
0.82 & 104.102054215665 & 0.944781933060615 \tabularnewline
0.83 & 104.334086846755 & 0.947953132371932 \tabularnewline
0.84 & 104.571042584534 & 0.940644683336824 \tabularnewline
0.85 & 104.810895136133 & 0.924517059011544 \tabularnewline
0.86 & 105.051860531906 & 0.900575661248616 \tabularnewline
0.87 & 105.292530838768 & 0.869431426012541 \tabularnewline
0.88 & 105.532189862035 & 0.832258737433605 \tabularnewline
0.89 & 105.771331776982 & 0.792508473471778 \tabularnewline
0.9 & 106.012232504094 & 0.756743656791738 \tabularnewline
0.91 & 106.259247319615 & 0.733252793396548 \tabularnewline
0.92 & 106.518442888797 & 0.727947442456926 \tabularnewline
0.93 & 106.796312998349 & 0.739494267113025 \tabularnewline
0.94 & 107.097683824443 & 0.756897711324075 \tabularnewline
0.95 & 107.42336753553 & 0.762229107537186 \tabularnewline
0.96 & 107.768335795439 & 0.735874733077106 \tabularnewline
0.97 & 108.120393104551 & 0.664017009000687 \tabularnewline
0.98 & 108.456904906877 & 0.551372874040063 \tabularnewline
0.99 & 108.736784840662 & 0.441740039896717 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=161084&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]98.8401657638162[/C][C]0.108856977221089[/C][/ROW]
[ROW][C]0.02[/C][C]98.9102188551296[/C][C]0.140442751769532[/C][/ROW]
[ROW][C]0.03[/C][C]98.997452378216[/C][C]0.180255768795203[/C][/ROW]
[ROW][C]0.04[/C][C]99.0932817981362[/C][C]0.212562904680975[/C][/ROW]
[ROW][C]0.05[/C][C]99.1922021727488[/C][C]0.232000770760306[/C][/ROW]
[ROW][C]0.06[/C][C]99.2898267469811[/C][C]0.238720981266949[/C][/ROW]
[ROW][C]0.07[/C][C]99.3825195493301[/C][C]0.23462071586525[/C][/ROW]
[ROW][C]0.08[/C][C]99.4675723098427[/C][C]0.221605166106098[/C][/ROW]
[ROW][C]0.09[/C][C]99.5432745309988[/C][C]0.20203897039693[/C][/ROW]
[ROW][C]0.1[/C][C]99.6088512823497[/C][C]0.178586450601608[/C][/ROW]
[ROW][C]0.11[/C][C]99.6643427412885[/C][C]0.153906643239389[/C][/ROW]
[ROW][C]0.12[/C][C]99.710439058908[/C][C]0.130436020700126[/C][/ROW]
[ROW][C]0.13[/C][C]99.7482708915579[/C][C]0.109726642989337[/C][/ROW]
[ROW][C]0.14[/C][C]99.7791812708214[/C][C]0.0925982562740413[/C][/ROW]
[ROW][C]0.15[/C][C]99.8045222468004[/C][C]0.0790610745283214[/C][/ROW]
[ROW][C]0.16[/C][C]99.8255139575624[/C][C]0.0686420999747963[/C][/ROW]
[ROW][C]0.17[/C][C]99.8431818034764[/C][C]0.0606416622170216[/C][/ROW]
[ROW][C]0.18[/C][C]99.8583625698882[/C][C]0.0545758492283286[/C][/ROW]
[ROW][C]0.19[/C][C]99.8717529642417[/C][C]0.0504258358033238[/C][/ROW]
[ROW][C]0.2[/C][C]99.8839687257269[/C][C]0.0483188254008223[/C][/ROW]
[ROW][C]0.21[/C][C]99.8955883266126[/C][C]0.0487284627933649[/C][/ROW]
[ROW][C]0.22[/C][C]99.9071677325033[/C][C]0.0518544890924533[/C][/ROW]
[ROW][C]0.23[/C][C]99.9192260871536[/C][C]0.0574820714729582[/C][/ROW]
[ROW][C]0.24[/C][C]99.9322121517861[/C][C]0.0649109815872953[/C][/ROW]
[ROW][C]0.25[/C][C]99.9464658684279[/C][C]0.0735484817136633[/C][/ROW]
[ROW][C]0.26[/C][C]99.9621888114516[/C][C]0.0824930633940986[/C][/ROW]
[ROW][C]0.27[/C][C]99.9794332054876[/C][C]0.0909713737544001[/C][/ROW]
[ROW][C]0.28[/C][C]99.9981136587885[/C][C]0.0984896707089944[/C][/ROW]
[ROW][C]0.29[/C][C]100.018040481971[/C][C]0.104508196346584[/C][/ROW]
[ROW][C]0.3[/C][C]100.03896946915[/C][C]0.109050872263981[/C][/ROW]
[ROW][C]0.31[/C][C]100.060660696936[/C][C]0.112374924453052[/C][/ROW]
[ROW][C]0.32[/C][C]100.082938154488[/C][C]0.114870570263329[/C][/ROW]
[ROW][C]0.33[/C][C]100.105742505677[/C][C]0.117404267988815[/C][/ROW]
[ROW][C]0.34[/C][C]100.129170587041[/C][C]0.121155300245751[/C][/ROW]
[ROW][C]0.35[/C][C]100.153497007719[/C][C]0.12722519923034[/C][/ROW]
[ROW][C]0.36[/C][C]100.179175195963[/C][C]0.136550192885765[/C][/ROW]
[ROW][C]0.37[/C][C]100.206817284753[/C][C]0.150077562641006[/C][/ROW]
[ROW][C]0.38[/C][C]100.237154247232[/C][C]0.16834119245471[/C][/ROW]
[ROW][C]0.39[/C][C]100.270979577832[/C][C]0.191312352625286[/C][/ROW]
[ROW][C]0.4[/C][C]100.309081436871[/C][C]0.218720596838466[/C][/ROW]
[ROW][C]0.41[/C][C]100.352169390568[/C][C]0.249670942807286[/C][/ROW]
[ROW][C]0.42[/C][C]100.400802562663[/C][C]0.28317140858687[/C][/ROW]
[ROW][C]0.43[/C][C]100.455326100861[/C][C]0.317638578724387[/C][/ROW]
[ROW][C]0.44[/C][C]100.515822347303[/C][C]0.351655875497189[/C][/ROW]
[ROW][C]0.45[/C][C]100.582082028378[/C][C]0.383406589325069[/C][/ROW]
[ROW][C]0.46[/C][C]100.653599201641[/C][C]0.411414318563451[/C][/ROW]
[ROW][C]0.47[/C][C]100.72959167371[/C][C]0.434105967069162[/C][/ROW]
[ROW][C]0.48[/C][C]100.809046209614[/C][C]0.450318850110778[/C][/ROW]
[ROW][C]0.49[/C][C]100.890785234242[/C][C]0.459412049755446[/C][/ROW]
[ROW][C]0.5[/C][C]100.973549137357[/C][C]0.460974257947478[/C][/ROW]
[ROW][C]0.51[/C][C]101.05608611675[/C][C]0.455507533439992[/C][/ROW]
[ROW][C]0.52[/C][C]101.137240181836[/C][C]0.443603646508966[/C][/ROW]
[ROW][C]0.53[/C][C]101.216027898576[/C][C]0.426598837897042[/C][/ROW]
[ROW][C]0.54[/C][C]101.291695899576[/C][C]0.405796424572736[/C][/ROW]
[ROW][C]0.55[/C][C]101.3637540121[/C][C]0.382931897015298[/C][/ROW]
[ROW][C]0.56[/C][C]101.431982622713[/C][C]0.359516292954704[/C][/ROW]
[ROW][C]0.57[/C][C]101.496416872656[/C][C]0.337038903506763[/C][/ROW]
[ROW][C]0.58[/C][C]101.557313627511[/C][C]0.316629054453833[/C][/ROW]
[ROW][C]0.59[/C][C]101.615109167632[/C][C]0.299136751741518[/C][/ROW]
[ROW][C]0.6[/C][C]101.670375801493[/C][C]0.285183658029885[/C][/ROW]
[ROW][C]0.61[/C][C]101.723784156472[/C][C]0.275073366424091[/C][/ROW]
[ROW][C]0.62[/C][C]101.776075241049[/C][C]0.268846395638533[/C][/ROW]
[ROW][C]0.63[/C][C]101.828043310463[/C][C]0.266908652273531[/C][/ROW]
[ROW][C]0.64[/C][C]101.880528009682[/C][C]0.269271006493398[/C][/ROW]
[ROW][C]0.65[/C][C]101.93441293543[/C][C]0.27597694962343[/C][/ROW]
[ROW][C]0.66[/C][C]101.990627935212[/C][C]0.287454912849093[/C][/ROW]
[ROW][C]0.67[/C][C]102.050153826203[/C][C]0.303467075567401[/C][/ROW]
[ROW][C]0.68[/C][C]102.114029860972[/C][C]0.324365853994311[/C][/ROW]
[ROW][C]0.69[/C][C]102.183364930916[/C][C]0.35013965808932[/C][/ROW]
[ROW][C]0.7[/C][C]102.259352046521[/C][C]0.38090469630547[/C][/ROW]
[ROW][C]0.71[/C][C]102.343281671862[/C][C]0.417089243330226[/C][/ROW]
[ROW][C]0.72[/C][C]102.436543915972[/C][C]0.458954830781436[/C][/ROW]
[ROW][C]0.73[/C][C]102.540604762055[/C][C]0.506952760165949[/C][/ROW]
[ROW][C]0.74[/C][C]102.656940786458[/C][C]0.560778703704387[/C][/ROW]
[ROW][C]0.75[/C][C]102.786923209426[/C][C]0.619952232837604[/C][/ROW]
[ROW][C]0.76[/C][C]102.931656528441[/C][C]0.682572457128955[/C][/ROW]
[ROW][C]0.77[/C][C]103.091796568377[/C][C]0.745674341684568[/C][/ROW]
[ROW][C]0.78[/C][C]103.26739058371[/C][C]0.805526651108095[/C][/ROW]
[ROW][C]0.79[/C][C]103.45778877923[/C][C]0.85818974037657[/C][/ROW]
[ROW][C]0.8[/C][C]103.661664716308[/C][C]0.900109769445444[/C][/ROW]
[ROW][C]0.81[/C][C]103.877150812857[/C][C]0.929162625732253[/C][/ROW]
[ROW][C]0.82[/C][C]104.102054215665[/C][C]0.944781933060615[/C][/ROW]
[ROW][C]0.83[/C][C]104.334086846755[/C][C]0.947953132371932[/C][/ROW]
[ROW][C]0.84[/C][C]104.571042584534[/C][C]0.940644683336824[/C][/ROW]
[ROW][C]0.85[/C][C]104.810895136133[/C][C]0.924517059011544[/C][/ROW]
[ROW][C]0.86[/C][C]105.051860531906[/C][C]0.900575661248616[/C][/ROW]
[ROW][C]0.87[/C][C]105.292530838768[/C][C]0.869431426012541[/C][/ROW]
[ROW][C]0.88[/C][C]105.532189862035[/C][C]0.832258737433605[/C][/ROW]
[ROW][C]0.89[/C][C]105.771331776982[/C][C]0.792508473471778[/C][/ROW]
[ROW][C]0.9[/C][C]106.012232504094[/C][C]0.756743656791738[/C][/ROW]
[ROW][C]0.91[/C][C]106.259247319615[/C][C]0.733252793396548[/C][/ROW]
[ROW][C]0.92[/C][C]106.518442888797[/C][C]0.727947442456926[/C][/ROW]
[ROW][C]0.93[/C][C]106.796312998349[/C][C]0.739494267113025[/C][/ROW]
[ROW][C]0.94[/C][C]107.097683824443[/C][C]0.756897711324075[/C][/ROW]
[ROW][C]0.95[/C][C]107.42336753553[/C][C]0.762229107537186[/C][/ROW]
[ROW][C]0.96[/C][C]107.768335795439[/C][C]0.735874733077106[/C][/ROW]
[ROW][C]0.97[/C][C]108.120393104551[/C][C]0.664017009000687[/C][/ROW]
[ROW][C]0.98[/C][C]108.456904906877[/C][C]0.551372874040063[/C][/ROW]
[ROW][C]0.99[/C][C]108.736784840662[/C][C]0.441740039896717[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=161084&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=161084&T=1

As an alternative you can also use a QR Code:

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

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	98.8401657638162	0.108856977221089
0.02	98.9102188551296	0.140442751769532
0.03	98.997452378216	0.180255768795203
0.04	99.0932817981362	0.212562904680975
0.05	99.1922021727488	0.232000770760306
0.06	99.2898267469811	0.238720981266949
0.07	99.3825195493301	0.23462071586525
0.08	99.4675723098427	0.221605166106098
0.09	99.5432745309988	0.20203897039693
0.1	99.6088512823497	0.178586450601608
0.11	99.6643427412885	0.153906643239389
0.12	99.710439058908	0.130436020700126
0.13	99.7482708915579	0.109726642989337
0.14	99.7791812708214	0.0925982562740413
0.15	99.8045222468004	0.0790610745283214
0.16	99.8255139575624	0.0686420999747963
0.17	99.8431818034764	0.0606416622170216
0.18	99.8583625698882	0.0545758492283286
0.19	99.8717529642417	0.0504258358033238
0.2	99.8839687257269	0.0483188254008223
0.21	99.8955883266126	0.0487284627933649
0.22	99.9071677325033	0.0518544890924533
0.23	99.9192260871536	0.0574820714729582
0.24	99.9322121517861	0.0649109815872953
0.25	99.9464658684279	0.0735484817136633
0.26	99.9621888114516	0.0824930633940986
0.27	99.9794332054876	0.0909713737544001
0.28	99.9981136587885	0.0984896707089944
0.29	100.018040481971	0.104508196346584
0.3	100.03896946915	0.109050872263981
0.31	100.060660696936	0.112374924453052
0.32	100.082938154488	0.114870570263329
0.33	100.105742505677	0.117404267988815
0.34	100.129170587041	0.121155300245751
0.35	100.153497007719	0.12722519923034
0.36	100.179175195963	0.136550192885765
0.37	100.206817284753	0.150077562641006
0.38	100.237154247232	0.16834119245471
0.39	100.270979577832	0.191312352625286
0.4	100.309081436871	0.218720596838466
0.41	100.352169390568	0.249670942807286
0.42	100.400802562663	0.28317140858687
0.43	100.455326100861	0.317638578724387
0.44	100.515822347303	0.351655875497189
0.45	100.582082028378	0.383406589325069
0.46	100.653599201641	0.411414318563451
0.47	100.72959167371	0.434105967069162
0.48	100.809046209614	0.450318850110778
0.49	100.890785234242	0.459412049755446
0.5	100.973549137357	0.460974257947478
0.51	101.05608611675	0.455507533439992
0.52	101.137240181836	0.443603646508966
0.53	101.216027898576	0.426598837897042
0.54	101.291695899576	0.405796424572736
0.55	101.3637540121	0.382931897015298
0.56	101.431982622713	0.359516292954704
0.57	101.496416872656	0.337038903506763
0.58	101.557313627511	0.316629054453833
0.59	101.615109167632	0.299136751741518
0.6	101.670375801493	0.285183658029885
0.61	101.723784156472	0.275073366424091
0.62	101.776075241049	0.268846395638533
0.63	101.828043310463	0.266908652273531
0.64	101.880528009682	0.269271006493398
0.65	101.93441293543	0.27597694962343
0.66	101.990627935212	0.287454912849093
0.67	102.050153826203	0.303467075567401
0.68	102.114029860972	0.324365853994311
0.69	102.183364930916	0.35013965808932
0.7	102.259352046521	0.38090469630547
0.71	102.343281671862	0.417089243330226
0.72	102.436543915972	0.458954830781436
0.73	102.540604762055	0.506952760165949
0.74	102.656940786458	0.560778703704387
0.75	102.786923209426	0.619952232837604
0.76	102.931656528441	0.682572457128955
0.77	103.091796568377	0.745674341684568
0.78	103.26739058371	0.805526651108095
0.79	103.45778877923	0.85818974037657
0.8	103.661664716308	0.900109769445444
0.81	103.877150812857	0.929162625732253
0.82	104.102054215665	0.944781933060615
0.83	104.334086846755	0.947953132371932
0.84	104.571042584534	0.940644683336824
0.85	104.810895136133	0.924517059011544
0.86	105.051860531906	0.900575661248616
0.87	105.292530838768	0.869431426012541
0.88	105.532189862035	0.832258737433605
0.89	105.771331776982	0.792508473471778
0.9	106.012232504094	0.756743656791738
0.91	106.259247319615	0.733252793396548
0.92	106.518442888797	0.727947442456926
0.93	106.796312998349	0.739494267113025
0.94	107.097683824443	0.756897711324075
0.95	107.42336753553	0.762229107537186
0.96	107.768335795439	0.735874733077106
0.97	108.120393104551	0.664017009000687
0.98	108.456904906877	0.551372874040063
0.99	108.736784840662	0.441740039896717

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = grey ; par3 = FALSE ; par4 = Unknown ;

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code