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Author

*The author of this computation has been verified*

R Software Module

rwasp_harrell_davis.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Tue, 20 Oct 2009 16:00:58 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/21/t1256076150i025c0dxh4gm67h.htm/, Retrieved Thu, 02 May 2024 13:36:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49215, Retrieved Thu, 02 May 2024 13:36:36 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

172

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

-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD        [Harrell-Davis Quantiles] [Harrel-Davis Quan...] [2009-10-20 22:00:58] [557d56ec4b06cd0135c259898de8ce95] [Current]
- RMPD          [Univariate Explorative Data Analysis] [Review commentaar...] [2009-10-23 14:14:05] [445b292c553470d9fed8bc2796fd3a00] 

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Dataseries X:

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1.038351422
0.933031106
0.932783124
0.953755367
1.009865664
0.979532493
0.98651077
0.964661281
0.946761816
0.959068881
0.985710058
0.92582159
1.036865325
0.944443576
0.944901812
0.989151445
1.054361624
1.033478919
1.001368875
1.019812646
0.993902155
0.961444482
0.957449711
0.93308639
1.045170549
0.953166261
0.966782226
0.972992606
1.013607482
0.984839518
0.973220775
0.957284573
0.972067159
0.986878944
0.954654488
0.978986976
1.003056035
0.970081156
0.991376354
1.022609041
1.089901216
1.060373568
0.985952627
1.037512164
1.025335152
1.006376649
1.018762056
1.01601847
1.112410461
1.037903689
1.045436015
1.09935434
1.101920787
1.080574973
1.024388761
1.024282249
0.993865289
0.984935203
1.005791114
0.94742834

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49215&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49215&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49215&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	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	0.927285595722743	0.00568687729608033
0.02	0.929361975847415	0.00437831637825708
0.03	0.931496366693185	0.00378747486395205
0.04	0.93349206648291	0.00418074789238667
0.05	0.935398802516369	0.00501744549497265
0.06	0.937306348359603	0.00574832296846625
0.07	0.939242095446539	0.00613339491408144
0.08	0.941171526258914	0.00616470655860439
0.09	0.943038146406347	0.00596107577434832
0.1	0.944797291868505	0.00567070972310018
0.11	0.946429530820532	0.00540408827931436
0.12	0.947937982189961	0.00520725441573283
0.13	0.949338939230036	0.00507647998286497
0.14	0.95065298468936	0.00499402829789069
0.15	0.951899707087085	0.00494299548810414
0.16	0.95309599359583	0.00492252761030211
0.17	0.954256442103057	0.00494092796358741
0.18	0.95539434872416	0.00500872811979721
0.19	0.956522302006777	0.00513279300088415
0.2	0.957652084730236	0.00531095999619118
0.21	0.958794049106997	0.00553373178702552
0.22	0.959956322903076	0.00578366881639733
0.23	0.961144183910457	0.00604159074340269
0.24	0.962359808768039	0.00629199459975218
0.25	0.963602445834522	0.00651692282432968
0.26	0.964868934799696	0.00670953409734465
0.27	0.966154421644446	0.00686508725346681
0.28	0.967453098790889	0.00698210287162516
0.29	0.968758826867314	0.00706272550624867
0.3	0.97006555052566	0.00711104206692867
0.31	0.971367488389135	0.0071289332738023
0.32	0.972659139694828	0.00711834030836896
0.33	0.973935194178917	0.0070766299102973
0.34	0.97519044923443	0.00700324809991176
0.35	0.97641982778766	0.00689313406546009
0.36	0.977618556400985	0.00674910522445447
0.37	0.978782515345903	0.00657234792831655
0.38	0.979908722692737	0.00637009210861915
0.39	0.980995874249875	0.00615460271676311
0.4	0.982044838885938	0.00594135756569965
0.41	0.983059008223444	0.00575035074052029
0.42	0.984044419768445	0.00560104846788592
0.43	0.98500960791762	0.00551258906241849
0.44	0.98596518009085	0.00549886406908992
0.45	0.986923157018932	0.00556967674581247
0.46	0.987896149728595	0.00572378887966397
0.47	0.98889646620355	0.00595554662230119
0.48	0.989935246178914	0.00625249201112876
0.49	0.991021713885481	0.00659459012792985
0.5	0.992162618675482	0.00696431054711533
0.51	0.993361906368069	0.00734167965245956
0.52	0.994620634230211	0.0077082291774825
0.53	0.995937113876099	0.00804658723090471
0.54	0.997307242520008	0.00834448527361395
0.55	0.998724966624186	0.00859223939265637
0.56	1.00018281474658	0.00878417558677707
0.57	1.00167243888052	0.00891761762476875
0.58	1.00318511503623	0.00899504935592802
0.59	1.00471217204772	0.00901804536564565
0.6	1.00624533904601	0.00898914601169663
0.61	1.00777702220646	0.00891591998278198
0.62	1.00930053553447	0.00880325089227573
0.63	1.01081031468518	0.00865728413082356
0.64	1.01230213510987	0.0084848243829434
0.65	1.01377333697313	0.00829548553143177
0.66	1.01522303331740	0.00809680593574832
0.67	1.01665225186924	0.0079041095455321
0.68	1.01806394359428	0.00772856527258904
0.69	1.01946279153695	0.00758036222140516
0.7	1.02085477806841	0.00747138150446262
0.71	1.02224651869601	0.00740521072827037
0.72	1.02364444007821	0.00737990967188837
0.73	1.02505395492641	0.00738361554589024
0.74	1.02647884689722	0.00740395318899387
0.75	1.02792110240118	0.00742034109883317
0.76	1.02938139633454	0.00741882999312485
0.77	1.03086034991479	0.00739040985582267
0.78	1.0323605426536	0.00734135785781006
0.79	1.03388910468212	0.00729133726126638
0.8	1.03546057591791	0.00727999448062735
0.81	1.03709962464833	0.00735884502672556
0.82	1.03884317840190	0.00758974006701386
0.83	1.04074151367437	0.0080304517566591
0.84	1.04285783671526	0.00872818893768414
0.85	1.04526583246154	0.00970754055547174
0.86	1.04804458251677	0.0109630372578039
0.87	1.05127026445418	0.0124527175775408
0.88	1.05500433903747	0.0140852779999101
0.89	1.05927872562045	0.0157138621316175
0.9	1.06407987709364	0.0171345180639044
0.91	1.06933559808921	0.018107059498615
0.92	1.07491053267713	0.0183950542193074
0.93	1.08061771858765	0.0178256984740287
0.94	1.08625272256359	0.0163594851819292
0.95	1.09164954955647	0.0141526066669108
0.96	1.09673697423143	0.0116144670550056
0.97	1.10153847643884	0.0094616015942873
0.98	1.10603762029945	0.00860080678414047
0.99	1.10991209474334	0.00924765926637611

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.927285595722743 & 0.00568687729608033 \tabularnewline
0.02 & 0.929361975847415 & 0.00437831637825708 \tabularnewline
0.03 & 0.931496366693185 & 0.00378747486395205 \tabularnewline
0.04 & 0.93349206648291 & 0.00418074789238667 \tabularnewline
0.05 & 0.935398802516369 & 0.00501744549497265 \tabularnewline
0.06 & 0.937306348359603 & 0.00574832296846625 \tabularnewline
0.07 & 0.939242095446539 & 0.00613339491408144 \tabularnewline
0.08 & 0.941171526258914 & 0.00616470655860439 \tabularnewline
0.09 & 0.943038146406347 & 0.00596107577434832 \tabularnewline
0.1 & 0.944797291868505 & 0.00567070972310018 \tabularnewline
0.11 & 0.946429530820532 & 0.00540408827931436 \tabularnewline
0.12 & 0.947937982189961 & 0.00520725441573283 \tabularnewline
0.13 & 0.949338939230036 & 0.00507647998286497 \tabularnewline
0.14 & 0.95065298468936 & 0.00499402829789069 \tabularnewline
0.15 & 0.951899707087085 & 0.00494299548810414 \tabularnewline
0.16 & 0.95309599359583 & 0.00492252761030211 \tabularnewline
0.17 & 0.954256442103057 & 0.00494092796358741 \tabularnewline
0.18 & 0.95539434872416 & 0.00500872811979721 \tabularnewline
0.19 & 0.956522302006777 & 0.00513279300088415 \tabularnewline
0.2 & 0.957652084730236 & 0.00531095999619118 \tabularnewline
0.21 & 0.958794049106997 & 0.00553373178702552 \tabularnewline
0.22 & 0.959956322903076 & 0.00578366881639733 \tabularnewline
0.23 & 0.961144183910457 & 0.00604159074340269 \tabularnewline
0.24 & 0.962359808768039 & 0.00629199459975218 \tabularnewline
0.25 & 0.963602445834522 & 0.00651692282432968 \tabularnewline
0.26 & 0.964868934799696 & 0.00670953409734465 \tabularnewline
0.27 & 0.966154421644446 & 0.00686508725346681 \tabularnewline
0.28 & 0.967453098790889 & 0.00698210287162516 \tabularnewline
0.29 & 0.968758826867314 & 0.00706272550624867 \tabularnewline
0.3 & 0.97006555052566 & 0.00711104206692867 \tabularnewline
0.31 & 0.971367488389135 & 0.0071289332738023 \tabularnewline
0.32 & 0.972659139694828 & 0.00711834030836896 \tabularnewline
0.33 & 0.973935194178917 & 0.0070766299102973 \tabularnewline
0.34 & 0.97519044923443 & 0.00700324809991176 \tabularnewline
0.35 & 0.97641982778766 & 0.00689313406546009 \tabularnewline
0.36 & 0.977618556400985 & 0.00674910522445447 \tabularnewline
0.37 & 0.978782515345903 & 0.00657234792831655 \tabularnewline
0.38 & 0.979908722692737 & 0.00637009210861915 \tabularnewline
0.39 & 0.980995874249875 & 0.00615460271676311 \tabularnewline
0.4 & 0.982044838885938 & 0.00594135756569965 \tabularnewline
0.41 & 0.983059008223444 & 0.00575035074052029 \tabularnewline
0.42 & 0.984044419768445 & 0.00560104846788592 \tabularnewline
0.43 & 0.98500960791762 & 0.00551258906241849 \tabularnewline
0.44 & 0.98596518009085 & 0.00549886406908992 \tabularnewline
0.45 & 0.986923157018932 & 0.00556967674581247 \tabularnewline
0.46 & 0.987896149728595 & 0.00572378887966397 \tabularnewline
0.47 & 0.98889646620355 & 0.00595554662230119 \tabularnewline
0.48 & 0.989935246178914 & 0.00625249201112876 \tabularnewline
0.49 & 0.991021713885481 & 0.00659459012792985 \tabularnewline
0.5 & 0.992162618675482 & 0.00696431054711533 \tabularnewline
0.51 & 0.993361906368069 & 0.00734167965245956 \tabularnewline
0.52 & 0.994620634230211 & 0.0077082291774825 \tabularnewline
0.53 & 0.995937113876099 & 0.00804658723090471 \tabularnewline
0.54 & 0.997307242520008 & 0.00834448527361395 \tabularnewline
0.55 & 0.998724966624186 & 0.00859223939265637 \tabularnewline
0.56 & 1.00018281474658 & 0.00878417558677707 \tabularnewline
0.57 & 1.00167243888052 & 0.00891761762476875 \tabularnewline
0.58 & 1.00318511503623 & 0.00899504935592802 \tabularnewline
0.59 & 1.00471217204772 & 0.00901804536564565 \tabularnewline
0.6 & 1.00624533904601 & 0.00898914601169663 \tabularnewline
0.61 & 1.00777702220646 & 0.00891591998278198 \tabularnewline
0.62 & 1.00930053553447 & 0.00880325089227573 \tabularnewline
0.63 & 1.01081031468518 & 0.00865728413082356 \tabularnewline
0.64 & 1.01230213510987 & 0.0084848243829434 \tabularnewline
0.65 & 1.01377333697313 & 0.00829548553143177 \tabularnewline
0.66 & 1.01522303331740 & 0.00809680593574832 \tabularnewline
0.67 & 1.01665225186924 & 0.0079041095455321 \tabularnewline
0.68 & 1.01806394359428 & 0.00772856527258904 \tabularnewline
0.69 & 1.01946279153695 & 0.00758036222140516 \tabularnewline
0.7 & 1.02085477806841 & 0.00747138150446262 \tabularnewline
0.71 & 1.02224651869601 & 0.00740521072827037 \tabularnewline
0.72 & 1.02364444007821 & 0.00737990967188837 \tabularnewline
0.73 & 1.02505395492641 & 0.00738361554589024 \tabularnewline
0.74 & 1.02647884689722 & 0.00740395318899387 \tabularnewline
0.75 & 1.02792110240118 & 0.00742034109883317 \tabularnewline
0.76 & 1.02938139633454 & 0.00741882999312485 \tabularnewline
0.77 & 1.03086034991479 & 0.00739040985582267 \tabularnewline
0.78 & 1.0323605426536 & 0.00734135785781006 \tabularnewline
0.79 & 1.03388910468212 & 0.00729133726126638 \tabularnewline
0.8 & 1.03546057591791 & 0.00727999448062735 \tabularnewline
0.81 & 1.03709962464833 & 0.00735884502672556 \tabularnewline
0.82 & 1.03884317840190 & 0.00758974006701386 \tabularnewline
0.83 & 1.04074151367437 & 0.0080304517566591 \tabularnewline
0.84 & 1.04285783671526 & 0.00872818893768414 \tabularnewline
0.85 & 1.04526583246154 & 0.00970754055547174 \tabularnewline
0.86 & 1.04804458251677 & 0.0109630372578039 \tabularnewline
0.87 & 1.05127026445418 & 0.0124527175775408 \tabularnewline
0.88 & 1.05500433903747 & 0.0140852779999101 \tabularnewline
0.89 & 1.05927872562045 & 0.0157138621316175 \tabularnewline
0.9 & 1.06407987709364 & 0.0171345180639044 \tabularnewline
0.91 & 1.06933559808921 & 0.018107059498615 \tabularnewline
0.92 & 1.07491053267713 & 0.0183950542193074 \tabularnewline
0.93 & 1.08061771858765 & 0.0178256984740287 \tabularnewline
0.94 & 1.08625272256359 & 0.0163594851819292 \tabularnewline
0.95 & 1.09164954955647 & 0.0141526066669108 \tabularnewline
0.96 & 1.09673697423143 & 0.0116144670550056 \tabularnewline
0.97 & 1.10153847643884 & 0.0094616015942873 \tabularnewline
0.98 & 1.10603762029945 & 0.00860080678414047 \tabularnewline
0.99 & 1.10991209474334 & 0.00924765926637611 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49215&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]0.927285595722743[/C][C]0.00568687729608033[/C][/ROW]
[ROW][C]0.02[/C][C]0.929361975847415[/C][C]0.00437831637825708[/C][/ROW]
[ROW][C]0.03[/C][C]0.931496366693185[/C][C]0.00378747486395205[/C][/ROW]
[ROW][C]0.04[/C][C]0.93349206648291[/C][C]0.00418074789238667[/C][/ROW]
[ROW][C]0.05[/C][C]0.935398802516369[/C][C]0.00501744549497265[/C][/ROW]
[ROW][C]0.06[/C][C]0.937306348359603[/C][C]0.00574832296846625[/C][/ROW]
[ROW][C]0.07[/C][C]0.939242095446539[/C][C]0.00613339491408144[/C][/ROW]
[ROW][C]0.08[/C][C]0.941171526258914[/C][C]0.00616470655860439[/C][/ROW]
[ROW][C]0.09[/C][C]0.943038146406347[/C][C]0.00596107577434832[/C][/ROW]
[ROW][C]0.1[/C][C]0.944797291868505[/C][C]0.00567070972310018[/C][/ROW]
[ROW][C]0.11[/C][C]0.946429530820532[/C][C]0.00540408827931436[/C][/ROW]
[ROW][C]0.12[/C][C]0.947937982189961[/C][C]0.00520725441573283[/C][/ROW]
[ROW][C]0.13[/C][C]0.949338939230036[/C][C]0.00507647998286497[/C][/ROW]
[ROW][C]0.14[/C][C]0.95065298468936[/C][C]0.00499402829789069[/C][/ROW]
[ROW][C]0.15[/C][C]0.951899707087085[/C][C]0.00494299548810414[/C][/ROW]
[ROW][C]0.16[/C][C]0.95309599359583[/C][C]0.00492252761030211[/C][/ROW]
[ROW][C]0.17[/C][C]0.954256442103057[/C][C]0.00494092796358741[/C][/ROW]
[ROW][C]0.18[/C][C]0.95539434872416[/C][C]0.00500872811979721[/C][/ROW]
[ROW][C]0.19[/C][C]0.956522302006777[/C][C]0.00513279300088415[/C][/ROW]
[ROW][C]0.2[/C][C]0.957652084730236[/C][C]0.00531095999619118[/C][/ROW]
[ROW][C]0.21[/C][C]0.958794049106997[/C][C]0.00553373178702552[/C][/ROW]
[ROW][C]0.22[/C][C]0.959956322903076[/C][C]0.00578366881639733[/C][/ROW]
[ROW][C]0.23[/C][C]0.961144183910457[/C][C]0.00604159074340269[/C][/ROW]
[ROW][C]0.24[/C][C]0.962359808768039[/C][C]0.00629199459975218[/C][/ROW]
[ROW][C]0.25[/C][C]0.963602445834522[/C][C]0.00651692282432968[/C][/ROW]
[ROW][C]0.26[/C][C]0.964868934799696[/C][C]0.00670953409734465[/C][/ROW]
[ROW][C]0.27[/C][C]0.966154421644446[/C][C]0.00686508725346681[/C][/ROW]
[ROW][C]0.28[/C][C]0.967453098790889[/C][C]0.00698210287162516[/C][/ROW]
[ROW][C]0.29[/C][C]0.968758826867314[/C][C]0.00706272550624867[/C][/ROW]
[ROW][C]0.3[/C][C]0.97006555052566[/C][C]0.00711104206692867[/C][/ROW]
[ROW][C]0.31[/C][C]0.971367488389135[/C][C]0.0071289332738023[/C][/ROW]
[ROW][C]0.32[/C][C]0.972659139694828[/C][C]0.00711834030836896[/C][/ROW]
[ROW][C]0.33[/C][C]0.973935194178917[/C][C]0.0070766299102973[/C][/ROW]
[ROW][C]0.34[/C][C]0.97519044923443[/C][C]0.00700324809991176[/C][/ROW]
[ROW][C]0.35[/C][C]0.97641982778766[/C][C]0.00689313406546009[/C][/ROW]
[ROW][C]0.36[/C][C]0.977618556400985[/C][C]0.00674910522445447[/C][/ROW]
[ROW][C]0.37[/C][C]0.978782515345903[/C][C]0.00657234792831655[/C][/ROW]
[ROW][C]0.38[/C][C]0.979908722692737[/C][C]0.00637009210861915[/C][/ROW]
[ROW][C]0.39[/C][C]0.980995874249875[/C][C]0.00615460271676311[/C][/ROW]
[ROW][C]0.4[/C][C]0.982044838885938[/C][C]0.00594135756569965[/C][/ROW]
[ROW][C]0.41[/C][C]0.983059008223444[/C][C]0.00575035074052029[/C][/ROW]
[ROW][C]0.42[/C][C]0.984044419768445[/C][C]0.00560104846788592[/C][/ROW]
[ROW][C]0.43[/C][C]0.98500960791762[/C][C]0.00551258906241849[/C][/ROW]
[ROW][C]0.44[/C][C]0.98596518009085[/C][C]0.00549886406908992[/C][/ROW]
[ROW][C]0.45[/C][C]0.986923157018932[/C][C]0.00556967674581247[/C][/ROW]
[ROW][C]0.46[/C][C]0.987896149728595[/C][C]0.00572378887966397[/C][/ROW]
[ROW][C]0.47[/C][C]0.98889646620355[/C][C]0.00595554662230119[/C][/ROW]
[ROW][C]0.48[/C][C]0.989935246178914[/C][C]0.00625249201112876[/C][/ROW]
[ROW][C]0.49[/C][C]0.991021713885481[/C][C]0.00659459012792985[/C][/ROW]
[ROW][C]0.5[/C][C]0.992162618675482[/C][C]0.00696431054711533[/C][/ROW]
[ROW][C]0.51[/C][C]0.993361906368069[/C][C]0.00734167965245956[/C][/ROW]
[ROW][C]0.52[/C][C]0.994620634230211[/C][C]0.0077082291774825[/C][/ROW]
[ROW][C]0.53[/C][C]0.995937113876099[/C][C]0.00804658723090471[/C][/ROW]
[ROW][C]0.54[/C][C]0.997307242520008[/C][C]0.00834448527361395[/C][/ROW]
[ROW][C]0.55[/C][C]0.998724966624186[/C][C]0.00859223939265637[/C][/ROW]
[ROW][C]0.56[/C][C]1.00018281474658[/C][C]0.00878417558677707[/C][/ROW]
[ROW][C]0.57[/C][C]1.00167243888052[/C][C]0.00891761762476875[/C][/ROW]
[ROW][C]0.58[/C][C]1.00318511503623[/C][C]0.00899504935592802[/C][/ROW]
[ROW][C]0.59[/C][C]1.00471217204772[/C][C]0.00901804536564565[/C][/ROW]
[ROW][C]0.6[/C][C]1.00624533904601[/C][C]0.00898914601169663[/C][/ROW]
[ROW][C]0.61[/C][C]1.00777702220646[/C][C]0.00891591998278198[/C][/ROW]
[ROW][C]0.62[/C][C]1.00930053553447[/C][C]0.00880325089227573[/C][/ROW]
[ROW][C]0.63[/C][C]1.01081031468518[/C][C]0.00865728413082356[/C][/ROW]
[ROW][C]0.64[/C][C]1.01230213510987[/C][C]0.0084848243829434[/C][/ROW]
[ROW][C]0.65[/C][C]1.01377333697313[/C][C]0.00829548553143177[/C][/ROW]
[ROW][C]0.66[/C][C]1.01522303331740[/C][C]0.00809680593574832[/C][/ROW]
[ROW][C]0.67[/C][C]1.01665225186924[/C][C]0.0079041095455321[/C][/ROW]
[ROW][C]0.68[/C][C]1.01806394359428[/C][C]0.00772856527258904[/C][/ROW]
[ROW][C]0.69[/C][C]1.01946279153695[/C][C]0.00758036222140516[/C][/ROW]
[ROW][C]0.7[/C][C]1.02085477806841[/C][C]0.00747138150446262[/C][/ROW]
[ROW][C]0.71[/C][C]1.02224651869601[/C][C]0.00740521072827037[/C][/ROW]
[ROW][C]0.72[/C][C]1.02364444007821[/C][C]0.00737990967188837[/C][/ROW]
[ROW][C]0.73[/C][C]1.02505395492641[/C][C]0.00738361554589024[/C][/ROW]
[ROW][C]0.74[/C][C]1.02647884689722[/C][C]0.00740395318899387[/C][/ROW]
[ROW][C]0.75[/C][C]1.02792110240118[/C][C]0.00742034109883317[/C][/ROW]
[ROW][C]0.76[/C][C]1.02938139633454[/C][C]0.00741882999312485[/C][/ROW]
[ROW][C]0.77[/C][C]1.03086034991479[/C][C]0.00739040985582267[/C][/ROW]
[ROW][C]0.78[/C][C]1.0323605426536[/C][C]0.00734135785781006[/C][/ROW]
[ROW][C]0.79[/C][C]1.03388910468212[/C][C]0.00729133726126638[/C][/ROW]
[ROW][C]0.8[/C][C]1.03546057591791[/C][C]0.00727999448062735[/C][/ROW]
[ROW][C]0.81[/C][C]1.03709962464833[/C][C]0.00735884502672556[/C][/ROW]
[ROW][C]0.82[/C][C]1.03884317840190[/C][C]0.00758974006701386[/C][/ROW]
[ROW][C]0.83[/C][C]1.04074151367437[/C][C]0.0080304517566591[/C][/ROW]
[ROW][C]0.84[/C][C]1.04285783671526[/C][C]0.00872818893768414[/C][/ROW]
[ROW][C]0.85[/C][C]1.04526583246154[/C][C]0.00970754055547174[/C][/ROW]
[ROW][C]0.86[/C][C]1.04804458251677[/C][C]0.0109630372578039[/C][/ROW]
[ROW][C]0.87[/C][C]1.05127026445418[/C][C]0.0124527175775408[/C][/ROW]
[ROW][C]0.88[/C][C]1.05500433903747[/C][C]0.0140852779999101[/C][/ROW]
[ROW][C]0.89[/C][C]1.05927872562045[/C][C]0.0157138621316175[/C][/ROW]
[ROW][C]0.9[/C][C]1.06407987709364[/C][C]0.0171345180639044[/C][/ROW]
[ROW][C]0.91[/C][C]1.06933559808921[/C][C]0.018107059498615[/C][/ROW]
[ROW][C]0.92[/C][C]1.07491053267713[/C][C]0.0183950542193074[/C][/ROW]
[ROW][C]0.93[/C][C]1.08061771858765[/C][C]0.0178256984740287[/C][/ROW]
[ROW][C]0.94[/C][C]1.08625272256359[/C][C]0.0163594851819292[/C][/ROW]
[ROW][C]0.95[/C][C]1.09164954955647[/C][C]0.0141526066669108[/C][/ROW]
[ROW][C]0.96[/C][C]1.09673697423143[/C][C]0.0116144670550056[/C][/ROW]
[ROW][C]0.97[/C][C]1.10153847643884[/C][C]0.0094616015942873[/C][/ROW]
[ROW][C]0.98[/C][C]1.10603762029945[/C][C]0.00860080678414047[/C][/ROW]
[ROW][C]0.99[/C][C]1.10991209474334[/C][C]0.00924765926637611[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49215&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49215&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	0.927285595722743	0.00568687729608033
0.02	0.929361975847415	0.00437831637825708
0.03	0.931496366693185	0.00378747486395205
0.04	0.93349206648291	0.00418074789238667
0.05	0.935398802516369	0.00501744549497265
0.06	0.937306348359603	0.00574832296846625
0.07	0.939242095446539	0.00613339491408144
0.08	0.941171526258914	0.00616470655860439
0.09	0.943038146406347	0.00596107577434832
0.1	0.944797291868505	0.00567070972310018
0.11	0.946429530820532	0.00540408827931436
0.12	0.947937982189961	0.00520725441573283
0.13	0.949338939230036	0.00507647998286497
0.14	0.95065298468936	0.00499402829789069
0.15	0.951899707087085	0.00494299548810414
0.16	0.95309599359583	0.00492252761030211
0.17	0.954256442103057	0.00494092796358741
0.18	0.95539434872416	0.00500872811979721
0.19	0.956522302006777	0.00513279300088415
0.2	0.957652084730236	0.00531095999619118
0.21	0.958794049106997	0.00553373178702552
0.22	0.959956322903076	0.00578366881639733
0.23	0.961144183910457	0.00604159074340269
0.24	0.962359808768039	0.00629199459975218
0.25	0.963602445834522	0.00651692282432968
0.26	0.964868934799696	0.00670953409734465
0.27	0.966154421644446	0.00686508725346681
0.28	0.967453098790889	0.00698210287162516
0.29	0.968758826867314	0.00706272550624867
0.3	0.97006555052566	0.00711104206692867
0.31	0.971367488389135	0.0071289332738023
0.32	0.972659139694828	0.00711834030836896
0.33	0.973935194178917	0.0070766299102973
0.34	0.97519044923443	0.00700324809991176
0.35	0.97641982778766	0.00689313406546009
0.36	0.977618556400985	0.00674910522445447
0.37	0.978782515345903	0.00657234792831655
0.38	0.979908722692737	0.00637009210861915
0.39	0.980995874249875	0.00615460271676311
0.4	0.982044838885938	0.00594135756569965
0.41	0.983059008223444	0.00575035074052029
0.42	0.984044419768445	0.00560104846788592
0.43	0.98500960791762	0.00551258906241849
0.44	0.98596518009085	0.00549886406908992
0.45	0.986923157018932	0.00556967674581247
0.46	0.987896149728595	0.00572378887966397
0.47	0.98889646620355	0.00595554662230119
0.48	0.989935246178914	0.00625249201112876
0.49	0.991021713885481	0.00659459012792985
0.5	0.992162618675482	0.00696431054711533
0.51	0.993361906368069	0.00734167965245956
0.52	0.994620634230211	0.0077082291774825
0.53	0.995937113876099	0.00804658723090471
0.54	0.997307242520008	0.00834448527361395
0.55	0.998724966624186	0.00859223939265637
0.56	1.00018281474658	0.00878417558677707
0.57	1.00167243888052	0.00891761762476875
0.58	1.00318511503623	0.00899504935592802
0.59	1.00471217204772	0.00901804536564565
0.6	1.00624533904601	0.00898914601169663
0.61	1.00777702220646	0.00891591998278198
0.62	1.00930053553447	0.00880325089227573
0.63	1.01081031468518	0.00865728413082356
0.64	1.01230213510987	0.0084848243829434
0.65	1.01377333697313	0.00829548553143177
0.66	1.01522303331740	0.00809680593574832
0.67	1.01665225186924	0.0079041095455321
0.68	1.01806394359428	0.00772856527258904
0.69	1.01946279153695	0.00758036222140516
0.7	1.02085477806841	0.00747138150446262
0.71	1.02224651869601	0.00740521072827037
0.72	1.02364444007821	0.00737990967188837
0.73	1.02505395492641	0.00738361554589024
0.74	1.02647884689722	0.00740395318899387
0.75	1.02792110240118	0.00742034109883317
0.76	1.02938139633454	0.00741882999312485
0.77	1.03086034991479	0.00739040985582267
0.78	1.0323605426536	0.00734135785781006
0.79	1.03388910468212	0.00729133726126638
0.8	1.03546057591791	0.00727999448062735
0.81	1.03709962464833	0.00735884502672556
0.82	1.03884317840190	0.00758974006701386
0.83	1.04074151367437	0.0080304517566591
0.84	1.04285783671526	0.00872818893768414
0.85	1.04526583246154	0.00970754055547174
0.86	1.04804458251677	0.0109630372578039
0.87	1.05127026445418	0.0124527175775408
0.88	1.05500433903747	0.0140852779999101
0.89	1.05927872562045	0.0157138621316175
0.9	1.06407987709364	0.0171345180639044
0.91	1.06933559808921	0.018107059498615
0.92	1.07491053267713	0.0183950542193074
0.93	1.08061771858765	0.0178256984740287
0.94	1.08625272256359	0.0163594851819292
0.95	1.09164954955647	0.0141526066669108
0.96	1.09673697423143	0.0116144670550056
0.97	1.10153847643884	0.0094616015942873
0.98	1.10603762029945	0.00860080678414047
0.99	1.10991209474334	0.00924765926637611

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;

Parameters (R input):

par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;

R code (references can be found in the software module):

par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code