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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

Sat, 17 Oct 2009 06:16:24 -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/17/t1255781897o2vibp095lk0suk.htm/, Retrieved Mon, 06 May 2024 03:03:09 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47136, Retrieved Mon, 06 May 2024 03:03:09 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

148

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]
-   PD      [Univariate Data Series] [WS 3Yt] [2009-10-17 09:25:12] [6e4e01d7eb22a9f33d58ebb35753a195]
-   PD        [Univariate Data Series] [WS3 YT-XT] [2009-10-17 09:36:45] [6e4e01d7eb22a9f33d58ebb35753a195]
-   PD          [Univariate Data Series] [Yt/Xt CT] [2009-10-17 09:39:32] [6e4e01d7eb22a9f33d58ebb35753a195]
- RMPD            [Central Tendency] [Yt/Xt CT1] [2009-10-17 09:42:58] [6e4e01d7eb22a9f33d58ebb35753a195]
- RM                  [Harrell-Davis Quantiles] [WS 3 3] [2009-10-17 12:16:24] [2e4ef2c1b76db9b31c0a03b96e94ad77] [Current]
- RMP                   [Univariate Explorative Data Analysis] [ws3 3] [2009-10-19 07:04:35] [6e4e01d7eb22a9f33d58ebb35753a195] 

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Dataseries X:

Download CSV

Histogram

Boxplots

1.03
1.05
1.09
1.11
1.13
1.17
1.20
1.23
1.26
1.29
1.28
1.28
1.26
1.25
1.21
1.22
1.21
1.18
1.17
1.19
1.19
1.19
1.16
1.15
1.11
1.07
1.06
1.07
1.05
1.06
1.05
1.04
1.03
0.97
0.95
0.93
0.87
0.83
0.82
0.83
0.86
0.86
0.83
0.83
0.83
0.81
0.79
0.79
0.74
0.72
0.71
0.72
0.75
0.76
0.76
0.73
0.72
0.71
0.70
0.67

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	'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47136&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47136&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47136&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	'George Udny Yule' @ 72.249.76.132

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	0.676599748285392	0.0252613876138300
0.02	0.685849819979354	0.0195121105799771
0.03	0.694801352440834	0.0143574384118143
0.04	0.702029382537898	0.0108228535513026
0.05	0.70746480504637	0.00896381134167174
0.06	0.711622482175796	0.00839314571335869
0.07	0.715070483543672	0.00870021769028662
0.08	0.718240000972967	0.00963794713073492
0.09	0.721417333539731	0.0110763045110129
0.1	0.724785044034869	0.0129045371607323
0.11	0.728456838419623	0.0149919149429545
0.12	0.732497240295669	0.0171988563033301
0.13	0.736932191497872	0.0194058104641220
0.14	0.741756776268199	0.0215206219096068
0.15	0.746942616945953	0.0234819536242638
0.16	0.752444809444481	0.0252451867315839
0.17	0.758207487268979	0.0267698195646972
0.18	0.764167607710909	0.0280146209247504
0.19	0.770257415604141	0.0289350985054660
0.2	0.776406599826811	0.0294968219077125
0.21	0.782545179237014	0.0296807984299752
0.22	0.788607731635291	0.0295026918435437
0.23	0.794538957584459	0.0290172552303631
0.24	0.80029999543276	0.0283237316497863
0.25	0.805874534837917	0.027565690135008
0.26	0.81127367055744	0.026922573517142
0.27	0.81653857189522	0.0265980433649195
0.28	0.82174034551498	0.0267985366623022
0.29	0.826976855739214	0.0277030298589216
0.3	0.832366659828777	0.0294331224349715
0.31	0.838040557659768	0.0320259003103546
0.32	0.844131509437468	0.0354377256665570
0.33	0.85076382617584	0.0395536753614932
0.34	0.858042586799058	0.0442004184998021
0.35	0.866044195041515	0.0491636463462157
0.36	0.874808876120978	0.0542013535594549
0.37	0.884335745048112	0.0590528017554088
0.38	0.894580870630171	0.0634633009526276
0.39	0.90545852434055	0.0671916266228547
0.4	0.916845553118377	0.070032830636656
0.41	0.928588563604272	0.0718306473646635
0.42	0.940513369925932	0.0724895057358115
0.43	0.952435959345178	0.0719829783518286
0.44	0.964174092653668	0.0703531601097396
0.45	0.975558598976553	0.0677113311284927
0.46	0.986443459535883	0.0642197529789568
0.47	0.99671390202308	0.0600906468921687
0.48	1.00629193314976	0.0555573862919318
0.49	1.01513899618479	0.0508696220035447
0.5	1.02325571934142	0.0462666815669617
0.51	1.03067898418302	0.0419709716279434
0.52	1.03747675944702	0.0381735122656619
0.53	1.04374129297267	0.0350228945442493
0.54	1.04958132332978	0.0326183228106711
0.55	1.05511396654752	0.0310034237153056
0.56	1.06045686573256	0.0301606708669574
0.57	1.06572108248055	0.0300163809613886
0.58	1.07100508076790	0.0304529610382331
0.59	1.07639002605041	0.031324120499702
0.6	1.08193650889119	0.0324768203753754
0.61	1.08768271128196	0.0337582763540185
0.62	1.09364396617947	0.0350257384866643
0.63	1.09981361287221	0.0361520209533182
0.64	1.10616501587062	0.0370310090827549
0.65	1.11265458571782	0.0375771433428656
0.66	1.11922561073955	0.0377308245267765
0.67	1.12581267702171	0.0374590807221280
0.68	1.13234642189142	0.0367577472780899
0.69	1.13875833996495	0.0356484683311097
0.7	1.14498534881783	0.0341787105071821
0.71	1.15097383153420	0.0324167229305904
0.72	1.15668291050810	0.0304459321087432
0.73	1.16208677035447	0.0283584088849428
0.74	1.16717593172193	0.0262519572089277
0.75	1.17195747258054	0.0242183191603454
0.76	1.17645428823157	0.0223399281038728
0.77	1.18070356468501	0.0206907764626440
0.78	1.18475469948975	0.0193250760298555
0.79	1.18866692252847	0.0182811703402328
0.8	1.19250682471416	0.0175789288798260
0.81	1.19634587524042	0.0172219223625378
0.82	1.20025779934952	0.0171960136942715
0.83	1.20431544763775	0.0174766900926471
0.84	1.20858663186577	0.0180215547231316
0.85	1.21312850396514	0.0187679779701134
0.86	1.21798057124997	0.0196231580831689
0.87	1.22315737457184	0.0204543337773519
0.88	1.22864289804103	0.0211025066268781
0.89	1.23438925509890	0.0214057032371200
0.9	1.24032130980834	0.0212415376290644
0.91	1.24634639296368	0.02056924092144
0.92	1.25236534373522	0.0194457647518902
0.93	1.25828060145944	0.0179862570172908
0.94	1.26400155852417	0.0162733179046329
0.95	1.26945415340984	0.0142924235188477
0.96	1.27459802287288	0.0120317922562445
0.97	1.27942487976497	0.00980099545548353
0.98	1.28387149317449	0.008492604839985
0.99	1.28762064221763	0.00880535290443675

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.676599748285392 & 0.0252613876138300 \tabularnewline
0.02 & 0.685849819979354 & 0.0195121105799771 \tabularnewline
0.03 & 0.694801352440834 & 0.0143574384118143 \tabularnewline
0.04 & 0.702029382537898 & 0.0108228535513026 \tabularnewline
0.05 & 0.70746480504637 & 0.00896381134167174 \tabularnewline
0.06 & 0.711622482175796 & 0.00839314571335869 \tabularnewline
0.07 & 0.715070483543672 & 0.00870021769028662 \tabularnewline
0.08 & 0.718240000972967 & 0.00963794713073492 \tabularnewline
0.09 & 0.721417333539731 & 0.0110763045110129 \tabularnewline
0.1 & 0.724785044034869 & 0.0129045371607323 \tabularnewline
0.11 & 0.728456838419623 & 0.0149919149429545 \tabularnewline
0.12 & 0.732497240295669 & 0.0171988563033301 \tabularnewline
0.13 & 0.736932191497872 & 0.0194058104641220 \tabularnewline
0.14 & 0.741756776268199 & 0.0215206219096068 \tabularnewline
0.15 & 0.746942616945953 & 0.0234819536242638 \tabularnewline
0.16 & 0.752444809444481 & 0.0252451867315839 \tabularnewline
0.17 & 0.758207487268979 & 0.0267698195646972 \tabularnewline
0.18 & 0.764167607710909 & 0.0280146209247504 \tabularnewline
0.19 & 0.770257415604141 & 0.0289350985054660 \tabularnewline
0.2 & 0.776406599826811 & 0.0294968219077125 \tabularnewline
0.21 & 0.782545179237014 & 0.0296807984299752 \tabularnewline
0.22 & 0.788607731635291 & 0.0295026918435437 \tabularnewline
0.23 & 0.794538957584459 & 0.0290172552303631 \tabularnewline
0.24 & 0.80029999543276 & 0.0283237316497863 \tabularnewline
0.25 & 0.805874534837917 & 0.027565690135008 \tabularnewline
0.26 & 0.81127367055744 & 0.026922573517142 \tabularnewline
0.27 & 0.81653857189522 & 0.0265980433649195 \tabularnewline
0.28 & 0.82174034551498 & 0.0267985366623022 \tabularnewline
0.29 & 0.826976855739214 & 0.0277030298589216 \tabularnewline
0.3 & 0.832366659828777 & 0.0294331224349715 \tabularnewline
0.31 & 0.838040557659768 & 0.0320259003103546 \tabularnewline
0.32 & 0.844131509437468 & 0.0354377256665570 \tabularnewline
0.33 & 0.85076382617584 & 0.0395536753614932 \tabularnewline
0.34 & 0.858042586799058 & 0.0442004184998021 \tabularnewline
0.35 & 0.866044195041515 & 0.0491636463462157 \tabularnewline
0.36 & 0.874808876120978 & 0.0542013535594549 \tabularnewline
0.37 & 0.884335745048112 & 0.0590528017554088 \tabularnewline
0.38 & 0.894580870630171 & 0.0634633009526276 \tabularnewline
0.39 & 0.90545852434055 & 0.0671916266228547 \tabularnewline
0.4 & 0.916845553118377 & 0.070032830636656 \tabularnewline
0.41 & 0.928588563604272 & 0.0718306473646635 \tabularnewline
0.42 & 0.940513369925932 & 0.0724895057358115 \tabularnewline
0.43 & 0.952435959345178 & 0.0719829783518286 \tabularnewline
0.44 & 0.964174092653668 & 0.0703531601097396 \tabularnewline
0.45 & 0.975558598976553 & 0.0677113311284927 \tabularnewline
0.46 & 0.986443459535883 & 0.0642197529789568 \tabularnewline
0.47 & 0.99671390202308 & 0.0600906468921687 \tabularnewline
0.48 & 1.00629193314976 & 0.0555573862919318 \tabularnewline
0.49 & 1.01513899618479 & 0.0508696220035447 \tabularnewline
0.5 & 1.02325571934142 & 0.0462666815669617 \tabularnewline
0.51 & 1.03067898418302 & 0.0419709716279434 \tabularnewline
0.52 & 1.03747675944702 & 0.0381735122656619 \tabularnewline
0.53 & 1.04374129297267 & 0.0350228945442493 \tabularnewline
0.54 & 1.04958132332978 & 0.0326183228106711 \tabularnewline
0.55 & 1.05511396654752 & 0.0310034237153056 \tabularnewline
0.56 & 1.06045686573256 & 0.0301606708669574 \tabularnewline
0.57 & 1.06572108248055 & 0.0300163809613886 \tabularnewline
0.58 & 1.07100508076790 & 0.0304529610382331 \tabularnewline
0.59 & 1.07639002605041 & 0.031324120499702 \tabularnewline
0.6 & 1.08193650889119 & 0.0324768203753754 \tabularnewline
0.61 & 1.08768271128196 & 0.0337582763540185 \tabularnewline
0.62 & 1.09364396617947 & 0.0350257384866643 \tabularnewline
0.63 & 1.09981361287221 & 0.0361520209533182 \tabularnewline
0.64 & 1.10616501587062 & 0.0370310090827549 \tabularnewline
0.65 & 1.11265458571782 & 0.0375771433428656 \tabularnewline
0.66 & 1.11922561073955 & 0.0377308245267765 \tabularnewline
0.67 & 1.12581267702171 & 0.0374590807221280 \tabularnewline
0.68 & 1.13234642189142 & 0.0367577472780899 \tabularnewline
0.69 & 1.13875833996495 & 0.0356484683311097 \tabularnewline
0.7 & 1.14498534881783 & 0.0341787105071821 \tabularnewline
0.71 & 1.15097383153420 & 0.0324167229305904 \tabularnewline
0.72 & 1.15668291050810 & 0.0304459321087432 \tabularnewline
0.73 & 1.16208677035447 & 0.0283584088849428 \tabularnewline
0.74 & 1.16717593172193 & 0.0262519572089277 \tabularnewline
0.75 & 1.17195747258054 & 0.0242183191603454 \tabularnewline
0.76 & 1.17645428823157 & 0.0223399281038728 \tabularnewline
0.77 & 1.18070356468501 & 0.0206907764626440 \tabularnewline
0.78 & 1.18475469948975 & 0.0193250760298555 \tabularnewline
0.79 & 1.18866692252847 & 0.0182811703402328 \tabularnewline
0.8 & 1.19250682471416 & 0.0175789288798260 \tabularnewline
0.81 & 1.19634587524042 & 0.0172219223625378 \tabularnewline
0.82 & 1.20025779934952 & 0.0171960136942715 \tabularnewline
0.83 & 1.20431544763775 & 0.0174766900926471 \tabularnewline
0.84 & 1.20858663186577 & 0.0180215547231316 \tabularnewline
0.85 & 1.21312850396514 & 0.0187679779701134 \tabularnewline
0.86 & 1.21798057124997 & 0.0196231580831689 \tabularnewline
0.87 & 1.22315737457184 & 0.0204543337773519 \tabularnewline
0.88 & 1.22864289804103 & 0.0211025066268781 \tabularnewline
0.89 & 1.23438925509890 & 0.0214057032371200 \tabularnewline
0.9 & 1.24032130980834 & 0.0212415376290644 \tabularnewline
0.91 & 1.24634639296368 & 0.02056924092144 \tabularnewline
0.92 & 1.25236534373522 & 0.0194457647518902 \tabularnewline
0.93 & 1.25828060145944 & 0.0179862570172908 \tabularnewline
0.94 & 1.26400155852417 & 0.0162733179046329 \tabularnewline
0.95 & 1.26945415340984 & 0.0142924235188477 \tabularnewline
0.96 & 1.27459802287288 & 0.0120317922562445 \tabularnewline
0.97 & 1.27942487976497 & 0.00980099545548353 \tabularnewline
0.98 & 1.28387149317449 & 0.008492604839985 \tabularnewline
0.99 & 1.28762064221763 & 0.00880535290443675 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47136&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]0.676599748285392[/C][C]0.0252613876138300[/C][/ROW]
[ROW][C]0.02[/C][C]0.685849819979354[/C][C]0.0195121105799771[/C][/ROW]
[ROW][C]0.03[/C][C]0.694801352440834[/C][C]0.0143574384118143[/C][/ROW]
[ROW][C]0.04[/C][C]0.702029382537898[/C][C]0.0108228535513026[/C][/ROW]
[ROW][C]0.05[/C][C]0.70746480504637[/C][C]0.00896381134167174[/C][/ROW]
[ROW][C]0.06[/C][C]0.711622482175796[/C][C]0.00839314571335869[/C][/ROW]
[ROW][C]0.07[/C][C]0.715070483543672[/C][C]0.00870021769028662[/C][/ROW]
[ROW][C]0.08[/C][C]0.718240000972967[/C][C]0.00963794713073492[/C][/ROW]
[ROW][C]0.09[/C][C]0.721417333539731[/C][C]0.0110763045110129[/C][/ROW]
[ROW][C]0.1[/C][C]0.724785044034869[/C][C]0.0129045371607323[/C][/ROW]
[ROW][C]0.11[/C][C]0.728456838419623[/C][C]0.0149919149429545[/C][/ROW]
[ROW][C]0.12[/C][C]0.732497240295669[/C][C]0.0171988563033301[/C][/ROW]
[ROW][C]0.13[/C][C]0.736932191497872[/C][C]0.0194058104641220[/C][/ROW]
[ROW][C]0.14[/C][C]0.741756776268199[/C][C]0.0215206219096068[/C][/ROW]
[ROW][C]0.15[/C][C]0.746942616945953[/C][C]0.0234819536242638[/C][/ROW]
[ROW][C]0.16[/C][C]0.752444809444481[/C][C]0.0252451867315839[/C][/ROW]
[ROW][C]0.17[/C][C]0.758207487268979[/C][C]0.0267698195646972[/C][/ROW]
[ROW][C]0.18[/C][C]0.764167607710909[/C][C]0.0280146209247504[/C][/ROW]
[ROW][C]0.19[/C][C]0.770257415604141[/C][C]0.0289350985054660[/C][/ROW]
[ROW][C]0.2[/C][C]0.776406599826811[/C][C]0.0294968219077125[/C][/ROW]
[ROW][C]0.21[/C][C]0.782545179237014[/C][C]0.0296807984299752[/C][/ROW]
[ROW][C]0.22[/C][C]0.788607731635291[/C][C]0.0295026918435437[/C][/ROW]
[ROW][C]0.23[/C][C]0.794538957584459[/C][C]0.0290172552303631[/C][/ROW]
[ROW][C]0.24[/C][C]0.80029999543276[/C][C]0.0283237316497863[/C][/ROW]
[ROW][C]0.25[/C][C]0.805874534837917[/C][C]0.027565690135008[/C][/ROW]
[ROW][C]0.26[/C][C]0.81127367055744[/C][C]0.026922573517142[/C][/ROW]
[ROW][C]0.27[/C][C]0.81653857189522[/C][C]0.0265980433649195[/C][/ROW]
[ROW][C]0.28[/C][C]0.82174034551498[/C][C]0.0267985366623022[/C][/ROW]
[ROW][C]0.29[/C][C]0.826976855739214[/C][C]0.0277030298589216[/C][/ROW]
[ROW][C]0.3[/C][C]0.832366659828777[/C][C]0.0294331224349715[/C][/ROW]
[ROW][C]0.31[/C][C]0.838040557659768[/C][C]0.0320259003103546[/C][/ROW]
[ROW][C]0.32[/C][C]0.844131509437468[/C][C]0.0354377256665570[/C][/ROW]
[ROW][C]0.33[/C][C]0.85076382617584[/C][C]0.0395536753614932[/C][/ROW]
[ROW][C]0.34[/C][C]0.858042586799058[/C][C]0.0442004184998021[/C][/ROW]
[ROW][C]0.35[/C][C]0.866044195041515[/C][C]0.0491636463462157[/C][/ROW]
[ROW][C]0.36[/C][C]0.874808876120978[/C][C]0.0542013535594549[/C][/ROW]
[ROW][C]0.37[/C][C]0.884335745048112[/C][C]0.0590528017554088[/C][/ROW]
[ROW][C]0.38[/C][C]0.894580870630171[/C][C]0.0634633009526276[/C][/ROW]
[ROW][C]0.39[/C][C]0.90545852434055[/C][C]0.0671916266228547[/C][/ROW]
[ROW][C]0.4[/C][C]0.916845553118377[/C][C]0.070032830636656[/C][/ROW]
[ROW][C]0.41[/C][C]0.928588563604272[/C][C]0.0718306473646635[/C][/ROW]
[ROW][C]0.42[/C][C]0.940513369925932[/C][C]0.0724895057358115[/C][/ROW]
[ROW][C]0.43[/C][C]0.952435959345178[/C][C]0.0719829783518286[/C][/ROW]
[ROW][C]0.44[/C][C]0.964174092653668[/C][C]0.0703531601097396[/C][/ROW]
[ROW][C]0.45[/C][C]0.975558598976553[/C][C]0.0677113311284927[/C][/ROW]
[ROW][C]0.46[/C][C]0.986443459535883[/C][C]0.0642197529789568[/C][/ROW]
[ROW][C]0.47[/C][C]0.99671390202308[/C][C]0.0600906468921687[/C][/ROW]
[ROW][C]0.48[/C][C]1.00629193314976[/C][C]0.0555573862919318[/C][/ROW]
[ROW][C]0.49[/C][C]1.01513899618479[/C][C]0.0508696220035447[/C][/ROW]
[ROW][C]0.5[/C][C]1.02325571934142[/C][C]0.0462666815669617[/C][/ROW]
[ROW][C]0.51[/C][C]1.03067898418302[/C][C]0.0419709716279434[/C][/ROW]
[ROW][C]0.52[/C][C]1.03747675944702[/C][C]0.0381735122656619[/C][/ROW]
[ROW][C]0.53[/C][C]1.04374129297267[/C][C]0.0350228945442493[/C][/ROW]
[ROW][C]0.54[/C][C]1.04958132332978[/C][C]0.0326183228106711[/C][/ROW]
[ROW][C]0.55[/C][C]1.05511396654752[/C][C]0.0310034237153056[/C][/ROW]
[ROW][C]0.56[/C][C]1.06045686573256[/C][C]0.0301606708669574[/C][/ROW]
[ROW][C]0.57[/C][C]1.06572108248055[/C][C]0.0300163809613886[/C][/ROW]
[ROW][C]0.58[/C][C]1.07100508076790[/C][C]0.0304529610382331[/C][/ROW]
[ROW][C]0.59[/C][C]1.07639002605041[/C][C]0.031324120499702[/C][/ROW]
[ROW][C]0.6[/C][C]1.08193650889119[/C][C]0.0324768203753754[/C][/ROW]
[ROW][C]0.61[/C][C]1.08768271128196[/C][C]0.0337582763540185[/C][/ROW]
[ROW][C]0.62[/C][C]1.09364396617947[/C][C]0.0350257384866643[/C][/ROW]
[ROW][C]0.63[/C][C]1.09981361287221[/C][C]0.0361520209533182[/C][/ROW]
[ROW][C]0.64[/C][C]1.10616501587062[/C][C]0.0370310090827549[/C][/ROW]
[ROW][C]0.65[/C][C]1.11265458571782[/C][C]0.0375771433428656[/C][/ROW]
[ROW][C]0.66[/C][C]1.11922561073955[/C][C]0.0377308245267765[/C][/ROW]
[ROW][C]0.67[/C][C]1.12581267702171[/C][C]0.0374590807221280[/C][/ROW]
[ROW][C]0.68[/C][C]1.13234642189142[/C][C]0.0367577472780899[/C][/ROW]
[ROW][C]0.69[/C][C]1.13875833996495[/C][C]0.0356484683311097[/C][/ROW]
[ROW][C]0.7[/C][C]1.14498534881783[/C][C]0.0341787105071821[/C][/ROW]
[ROW][C]0.71[/C][C]1.15097383153420[/C][C]0.0324167229305904[/C][/ROW]
[ROW][C]0.72[/C][C]1.15668291050810[/C][C]0.0304459321087432[/C][/ROW]
[ROW][C]0.73[/C][C]1.16208677035447[/C][C]0.0283584088849428[/C][/ROW]
[ROW][C]0.74[/C][C]1.16717593172193[/C][C]0.0262519572089277[/C][/ROW]
[ROW][C]0.75[/C][C]1.17195747258054[/C][C]0.0242183191603454[/C][/ROW]
[ROW][C]0.76[/C][C]1.17645428823157[/C][C]0.0223399281038728[/C][/ROW]
[ROW][C]0.77[/C][C]1.18070356468501[/C][C]0.0206907764626440[/C][/ROW]
[ROW][C]0.78[/C][C]1.18475469948975[/C][C]0.0193250760298555[/C][/ROW]
[ROW][C]0.79[/C][C]1.18866692252847[/C][C]0.0182811703402328[/C][/ROW]
[ROW][C]0.8[/C][C]1.19250682471416[/C][C]0.0175789288798260[/C][/ROW]
[ROW][C]0.81[/C][C]1.19634587524042[/C][C]0.0172219223625378[/C][/ROW]
[ROW][C]0.82[/C][C]1.20025779934952[/C][C]0.0171960136942715[/C][/ROW]
[ROW][C]0.83[/C][C]1.20431544763775[/C][C]0.0174766900926471[/C][/ROW]
[ROW][C]0.84[/C][C]1.20858663186577[/C][C]0.0180215547231316[/C][/ROW]
[ROW][C]0.85[/C][C]1.21312850396514[/C][C]0.0187679779701134[/C][/ROW]
[ROW][C]0.86[/C][C]1.21798057124997[/C][C]0.0196231580831689[/C][/ROW]
[ROW][C]0.87[/C][C]1.22315737457184[/C][C]0.0204543337773519[/C][/ROW]
[ROW][C]0.88[/C][C]1.22864289804103[/C][C]0.0211025066268781[/C][/ROW]
[ROW][C]0.89[/C][C]1.23438925509890[/C][C]0.0214057032371200[/C][/ROW]
[ROW][C]0.9[/C][C]1.24032130980834[/C][C]0.0212415376290644[/C][/ROW]
[ROW][C]0.91[/C][C]1.24634639296368[/C][C]0.02056924092144[/C][/ROW]
[ROW][C]0.92[/C][C]1.25236534373522[/C][C]0.0194457647518902[/C][/ROW]
[ROW][C]0.93[/C][C]1.25828060145944[/C][C]0.0179862570172908[/C][/ROW]
[ROW][C]0.94[/C][C]1.26400155852417[/C][C]0.0162733179046329[/C][/ROW]
[ROW][C]0.95[/C][C]1.26945415340984[/C][C]0.0142924235188477[/C][/ROW]
[ROW][C]0.96[/C][C]1.27459802287288[/C][C]0.0120317922562445[/C][/ROW]
[ROW][C]0.97[/C][C]1.27942487976497[/C][C]0.00980099545548353[/C][/ROW]
[ROW][C]0.98[/C][C]1.28387149317449[/C][C]0.008492604839985[/C][/ROW]
[ROW][C]0.99[/C][C]1.28762064221763[/C][C]0.00880535290443675[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47136&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47136&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	0.676599748285392	0.0252613876138300
0.02	0.685849819979354	0.0195121105799771
0.03	0.694801352440834	0.0143574384118143
0.04	0.702029382537898	0.0108228535513026
0.05	0.70746480504637	0.00896381134167174
0.06	0.711622482175796	0.00839314571335869
0.07	0.715070483543672	0.00870021769028662
0.08	0.718240000972967	0.00963794713073492
0.09	0.721417333539731	0.0110763045110129
0.1	0.724785044034869	0.0129045371607323
0.11	0.728456838419623	0.0149919149429545
0.12	0.732497240295669	0.0171988563033301
0.13	0.736932191497872	0.0194058104641220
0.14	0.741756776268199	0.0215206219096068
0.15	0.746942616945953	0.0234819536242638
0.16	0.752444809444481	0.0252451867315839
0.17	0.758207487268979	0.0267698195646972
0.18	0.764167607710909	0.0280146209247504
0.19	0.770257415604141	0.0289350985054660
0.2	0.776406599826811	0.0294968219077125
0.21	0.782545179237014	0.0296807984299752
0.22	0.788607731635291	0.0295026918435437
0.23	0.794538957584459	0.0290172552303631
0.24	0.80029999543276	0.0283237316497863
0.25	0.805874534837917	0.027565690135008
0.26	0.81127367055744	0.026922573517142
0.27	0.81653857189522	0.0265980433649195
0.28	0.82174034551498	0.0267985366623022
0.29	0.826976855739214	0.0277030298589216
0.3	0.832366659828777	0.0294331224349715
0.31	0.838040557659768	0.0320259003103546
0.32	0.844131509437468	0.0354377256665570
0.33	0.85076382617584	0.0395536753614932
0.34	0.858042586799058	0.0442004184998021
0.35	0.866044195041515	0.0491636463462157
0.36	0.874808876120978	0.0542013535594549
0.37	0.884335745048112	0.0590528017554088
0.38	0.894580870630171	0.0634633009526276
0.39	0.90545852434055	0.0671916266228547
0.4	0.916845553118377	0.070032830636656
0.41	0.928588563604272	0.0718306473646635
0.42	0.940513369925932	0.0724895057358115
0.43	0.952435959345178	0.0719829783518286
0.44	0.964174092653668	0.0703531601097396
0.45	0.975558598976553	0.0677113311284927
0.46	0.986443459535883	0.0642197529789568
0.47	0.99671390202308	0.0600906468921687
0.48	1.00629193314976	0.0555573862919318
0.49	1.01513899618479	0.0508696220035447
0.5	1.02325571934142	0.0462666815669617
0.51	1.03067898418302	0.0419709716279434
0.52	1.03747675944702	0.0381735122656619
0.53	1.04374129297267	0.0350228945442493
0.54	1.04958132332978	0.0326183228106711
0.55	1.05511396654752	0.0310034237153056
0.56	1.06045686573256	0.0301606708669574
0.57	1.06572108248055	0.0300163809613886
0.58	1.07100508076790	0.0304529610382331
0.59	1.07639002605041	0.031324120499702
0.6	1.08193650889119	0.0324768203753754
0.61	1.08768271128196	0.0337582763540185
0.62	1.09364396617947	0.0350257384866643
0.63	1.09981361287221	0.0361520209533182
0.64	1.10616501587062	0.0370310090827549
0.65	1.11265458571782	0.0375771433428656
0.66	1.11922561073955	0.0377308245267765
0.67	1.12581267702171	0.0374590807221280
0.68	1.13234642189142	0.0367577472780899
0.69	1.13875833996495	0.0356484683311097
0.7	1.14498534881783	0.0341787105071821
0.71	1.15097383153420	0.0324167229305904
0.72	1.15668291050810	0.0304459321087432
0.73	1.16208677035447	0.0283584088849428
0.74	1.16717593172193	0.0262519572089277
0.75	1.17195747258054	0.0242183191603454
0.76	1.17645428823157	0.0223399281038728
0.77	1.18070356468501	0.0206907764626440
0.78	1.18475469948975	0.0193250760298555
0.79	1.18866692252847	0.0182811703402328
0.8	1.19250682471416	0.0175789288798260
0.81	1.19634587524042	0.0172219223625378
0.82	1.20025779934952	0.0171960136942715
0.83	1.20431544763775	0.0174766900926471
0.84	1.20858663186577	0.0180215547231316
0.85	1.21312850396514	0.0187679779701134
0.86	1.21798057124997	0.0196231580831689
0.87	1.22315737457184	0.0204543337773519
0.88	1.22864289804103	0.0211025066268781
0.89	1.23438925509890	0.0214057032371200
0.9	1.24032130980834	0.0212415376290644
0.91	1.24634639296368	0.02056924092144
0.92	1.25236534373522	0.0194457647518902
0.93	1.25828060145944	0.0179862570172908
0.94	1.26400155852417	0.0162733179046329
0.95	1.26945415340984	0.0142924235188477
0.96	1.27459802287288	0.0120317922562445
0.97	1.27942487976497	0.00980099545548353
0.98	1.28387149317449	0.008492604839985
0.99	1.28762064221763	0.00880535290443675

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code