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*Unverified author*

R Software Module

rwasp_harrell_davis.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Tue, 26 Feb 2013 09:46:00 -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/2013/Feb/26/t1361890494aqoi7ow3lvzsy2b.htm/, Retrieved Sun, 05 May 2024 04:08:41 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207050, Retrieved Sun, 05 May 2024 04:08:41 +0000

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-       [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2013-02-26 14:46:00] [a0dc50058fa7049d3ca1c49ed2014afb] [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	2 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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207050&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207050&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207050&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	'Gertrude Mary Cox' @ cox.wessa.net

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	99.4217163432565	0.00720688753120843
0.02	99.4293595184844	0.0316672069164301
0.03	99.4493434436669	0.0791425860118031
0.04	99.4876827599845	0.143732812697782
0.05	99.546808788978	0.208932875920844
0.06	99.6240052047877	0.256925478082213
0.07	99.7125839316118	0.278575184660703
0.08	99.8050851036665	0.278294915214278
0.09	99.8967064900782	0.273355365431376
0.1	99.9873675090037	0.288494992599109
0.11	100.081783519055	0.344019683945767
0.12	100.187880304951	0.444096929748328
0.13	100.314374278407	0.579403868611653
0.14	100.46838005049	0.734297891426253
0.15	100.653687872099	0.890832540730338
0.16	100.870057888834	1.03111683261633
0.17	101.113588372961	1.1420682719474
0.18	101.377958867823	1.21771403224334
0.19	101.656154265885	1.26100121649076
0.2	101.942181919325	1.28322284043075
0.21	102.232329414382	1.30088064447125
0.22	102.525667446377	1.33100778912898
0.23	102.823731035584	1.38511914782475
0.24	103.129541007647	1.46576937006021
0.25	103.446289271319	1.5655052153174
0.26	103.77606687176	1.67064988839569
0.27	104.118960721916	1.76497334268607
0.28	104.472712497683	1.83421822812377
0.29	104.832968119474	1.86826282830993
0.3	105.193996526709	1.86325178550296
0.31	105.549658187391	1.82099379452898
0.32	105.894373827606	1.74894016322747
0.33	106.223878850881	1.65748336506385
0.34	106.535629634254	1.55854584527486
0.35	106.828826939638	1.46232930363026
0.36	107.10411193548	1.37651247190829
0.37	107.363051828365	1.30426278165758
0.38	107.607555838448	1.24493064718335
0.39	107.839350269289	1.19462106715211
0.4	108.059603994176	1.14800844412178
0.41	108.268746866425	1.09966701773147
0.42	108.466476788277	1.0452243035258
0.43	108.651916069718	0.982077685098037
0.44	108.823858753034	0.909409486325651
0.45	108.98104744879	0.828261759232371
0.46	109.122427267734	0.740588563536973
0.47	109.247340499304	0.649516244362857
0.48	109.355643771035	0.558395733231682
0.49	109.447745686467	0.470507990577262
0.5	109.524575117523	0.388524688595217
0.51	109.587497630432	0.314803313877234
0.52	109.638200258463	0.250738316485095
0.53	109.678563954975	0.197220590130137
0.54	109.710539782205	0.15432208561641
0.55	109.736040418897	0.121780198240104
0.56	109.756853929357	0.0990823349753065
0.57	109.774582688378	0.0851812960049229
0.58	109.790607355986	0.0792256501284202
0.59	109.806073990169	0.0793753403476464
0.6	109.821901645631	0.0838946369877169
0.61	109.838807795588	0.0915941479641922
0.62	109.857349188873	0.101239586780393
0.63	109.877975884411	0.112370840869565
0.64	109.901095879253	0.124932335603583
0.65	109.927146855547	0.139051457024435
0.66	109.956670236911	0.155732668059359
0.67	109.990381288824	0.175763695714291
0.68	110.029227867796	0.200662092100032
0.69	110.074430078847	0.231707571813416
0.7	110.127493891966	0.27017296026781
0.71	110.190193843673	0.317160765982976
0.72	110.26452319924	0.373108529111599
0.73	110.352614005075	0.437944845413999
0.74	110.456633735759	0.511257532985453
0.75	110.578669015631	0.591702556405677
0.76	110.720609405044	0.677640611762483
0.77	110.884044770907	0.766964313315148
0.78	111.0701877457	0.857191992069803
0.79	111.279827942132	0.945983039614356
0.8	111.513317206369	1.03107745807249
0.81	111.770576641456	1.11031393568537
0.82	112.051109841717	1.1819935809535
0.83	112.35400917304	1.24450411098919
0.84	112.677961910051	1.29630079027849
0.85	113.021307224413	1.33565517085097
0.86	113.382256312131	1.36116894211711
0.87	113.759429548646	1.37257106735175
0.88	114.152812348671	1.37259948787728
0.89	114.564999990758	1.3695531057875
0.9	115.002177163541	1.37806999613663
0.91	115.473838356777	1.41457301313982
0.92	115.990217152292	1.48451332730141
0.93	116.557196293563	1.56696671364307
0.94	117.17003281524	1.61422307708151
0.95	117.808492638312	1.57250913154409
0.96	118.435560085153	1.41116109882575
0.97	119.000236579525	1.13326235648373
0.98	119.44548983053	0.758680919994802
0.99	119.726337651319	0.334328412052184

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.4217163432565 & 0.00720688753120843 \tabularnewline
0.02 & 99.4293595184844 & 0.0316672069164301 \tabularnewline
0.03 & 99.4493434436669 & 0.0791425860118031 \tabularnewline
0.04 & 99.4876827599845 & 0.143732812697782 \tabularnewline
0.05 & 99.546808788978 & 0.208932875920844 \tabularnewline
0.06 & 99.6240052047877 & 0.256925478082213 \tabularnewline
0.07 & 99.7125839316118 & 0.278575184660703 \tabularnewline
0.08 & 99.8050851036665 & 0.278294915214278 \tabularnewline
0.09 & 99.8967064900782 & 0.273355365431376 \tabularnewline
0.1 & 99.9873675090037 & 0.288494992599109 \tabularnewline
0.11 & 100.081783519055 & 0.344019683945767 \tabularnewline
0.12 & 100.187880304951 & 0.444096929748328 \tabularnewline
0.13 & 100.314374278407 & 0.579403868611653 \tabularnewline
0.14 & 100.46838005049 & 0.734297891426253 \tabularnewline
0.15 & 100.653687872099 & 0.890832540730338 \tabularnewline
0.16 & 100.870057888834 & 1.03111683261633 \tabularnewline
0.17 & 101.113588372961 & 1.1420682719474 \tabularnewline
0.18 & 101.377958867823 & 1.21771403224334 \tabularnewline
0.19 & 101.656154265885 & 1.26100121649076 \tabularnewline
0.2 & 101.942181919325 & 1.28322284043075 \tabularnewline
0.21 & 102.232329414382 & 1.30088064447125 \tabularnewline
0.22 & 102.525667446377 & 1.33100778912898 \tabularnewline
0.23 & 102.823731035584 & 1.38511914782475 \tabularnewline
0.24 & 103.129541007647 & 1.46576937006021 \tabularnewline
0.25 & 103.446289271319 & 1.5655052153174 \tabularnewline
0.26 & 103.77606687176 & 1.67064988839569 \tabularnewline
0.27 & 104.118960721916 & 1.76497334268607 \tabularnewline
0.28 & 104.472712497683 & 1.83421822812377 \tabularnewline
0.29 & 104.832968119474 & 1.86826282830993 \tabularnewline
0.3 & 105.193996526709 & 1.86325178550296 \tabularnewline
0.31 & 105.549658187391 & 1.82099379452898 \tabularnewline
0.32 & 105.894373827606 & 1.74894016322747 \tabularnewline
0.33 & 106.223878850881 & 1.65748336506385 \tabularnewline
0.34 & 106.535629634254 & 1.55854584527486 \tabularnewline
0.35 & 106.828826939638 & 1.46232930363026 \tabularnewline
0.36 & 107.10411193548 & 1.37651247190829 \tabularnewline
0.37 & 107.363051828365 & 1.30426278165758 \tabularnewline
0.38 & 107.607555838448 & 1.24493064718335 \tabularnewline
0.39 & 107.839350269289 & 1.19462106715211 \tabularnewline
0.4 & 108.059603994176 & 1.14800844412178 \tabularnewline
0.41 & 108.268746866425 & 1.09966701773147 \tabularnewline
0.42 & 108.466476788277 & 1.0452243035258 \tabularnewline
0.43 & 108.651916069718 & 0.982077685098037 \tabularnewline
0.44 & 108.823858753034 & 0.909409486325651 \tabularnewline
0.45 & 108.98104744879 & 0.828261759232371 \tabularnewline
0.46 & 109.122427267734 & 0.740588563536973 \tabularnewline
0.47 & 109.247340499304 & 0.649516244362857 \tabularnewline
0.48 & 109.355643771035 & 0.558395733231682 \tabularnewline
0.49 & 109.447745686467 & 0.470507990577262 \tabularnewline
0.5 & 109.524575117523 & 0.388524688595217 \tabularnewline
0.51 & 109.587497630432 & 0.314803313877234 \tabularnewline
0.52 & 109.638200258463 & 0.250738316485095 \tabularnewline
0.53 & 109.678563954975 & 0.197220590130137 \tabularnewline
0.54 & 109.710539782205 & 0.15432208561641 \tabularnewline
0.55 & 109.736040418897 & 0.121780198240104 \tabularnewline
0.56 & 109.756853929357 & 0.0990823349753065 \tabularnewline
0.57 & 109.774582688378 & 0.0851812960049229 \tabularnewline
0.58 & 109.790607355986 & 0.0792256501284202 \tabularnewline
0.59 & 109.806073990169 & 0.0793753403476464 \tabularnewline
0.6 & 109.821901645631 & 0.0838946369877169 \tabularnewline
0.61 & 109.838807795588 & 0.0915941479641922 \tabularnewline
0.62 & 109.857349188873 & 0.101239586780393 \tabularnewline
0.63 & 109.877975884411 & 0.112370840869565 \tabularnewline
0.64 & 109.901095879253 & 0.124932335603583 \tabularnewline
0.65 & 109.927146855547 & 0.139051457024435 \tabularnewline
0.66 & 109.956670236911 & 0.155732668059359 \tabularnewline
0.67 & 109.990381288824 & 0.175763695714291 \tabularnewline
0.68 & 110.029227867796 & 0.200662092100032 \tabularnewline
0.69 & 110.074430078847 & 0.231707571813416 \tabularnewline
0.7 & 110.127493891966 & 0.27017296026781 \tabularnewline
0.71 & 110.190193843673 & 0.317160765982976 \tabularnewline
0.72 & 110.26452319924 & 0.373108529111599 \tabularnewline
0.73 & 110.352614005075 & 0.437944845413999 \tabularnewline
0.74 & 110.456633735759 & 0.511257532985453 \tabularnewline
0.75 & 110.578669015631 & 0.591702556405677 \tabularnewline
0.76 & 110.720609405044 & 0.677640611762483 \tabularnewline
0.77 & 110.884044770907 & 0.766964313315148 \tabularnewline
0.78 & 111.0701877457 & 0.857191992069803 \tabularnewline
0.79 & 111.279827942132 & 0.945983039614356 \tabularnewline
0.8 & 111.513317206369 & 1.03107745807249 \tabularnewline
0.81 & 111.770576641456 & 1.11031393568537 \tabularnewline
0.82 & 112.051109841717 & 1.1819935809535 \tabularnewline
0.83 & 112.35400917304 & 1.24450411098919 \tabularnewline
0.84 & 112.677961910051 & 1.29630079027849 \tabularnewline
0.85 & 113.021307224413 & 1.33565517085097 \tabularnewline
0.86 & 113.382256312131 & 1.36116894211711 \tabularnewline
0.87 & 113.759429548646 & 1.37257106735175 \tabularnewline
0.88 & 114.152812348671 & 1.37259948787728 \tabularnewline
0.89 & 114.564999990758 & 1.3695531057875 \tabularnewline
0.9 & 115.002177163541 & 1.37806999613663 \tabularnewline
0.91 & 115.473838356777 & 1.41457301313982 \tabularnewline
0.92 & 115.990217152292 & 1.48451332730141 \tabularnewline
0.93 & 116.557196293563 & 1.56696671364307 \tabularnewline
0.94 & 117.17003281524 & 1.61422307708151 \tabularnewline
0.95 & 117.808492638312 & 1.57250913154409 \tabularnewline
0.96 & 118.435560085153 & 1.41116109882575 \tabularnewline
0.97 & 119.000236579525 & 1.13326235648373 \tabularnewline
0.98 & 119.44548983053 & 0.758680919994802 \tabularnewline
0.99 & 119.726337651319 & 0.334328412052184 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207050&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]99.4217163432565[/C][C]0.00720688753120843[/C][/ROW]
[ROW][C]0.02[/C][C]99.4293595184844[/C][C]0.0316672069164301[/C][/ROW]
[ROW][C]0.03[/C][C]99.4493434436669[/C][C]0.0791425860118031[/C][/ROW]
[ROW][C]0.04[/C][C]99.4876827599845[/C][C]0.143732812697782[/C][/ROW]
[ROW][C]0.05[/C][C]99.546808788978[/C][C]0.208932875920844[/C][/ROW]
[ROW][C]0.06[/C][C]99.6240052047877[/C][C]0.256925478082213[/C][/ROW]
[ROW][C]0.07[/C][C]99.7125839316118[/C][C]0.278575184660703[/C][/ROW]
[ROW][C]0.08[/C][C]99.8050851036665[/C][C]0.278294915214278[/C][/ROW]
[ROW][C]0.09[/C][C]99.8967064900782[/C][C]0.273355365431376[/C][/ROW]
[ROW][C]0.1[/C][C]99.9873675090037[/C][C]0.288494992599109[/C][/ROW]
[ROW][C]0.11[/C][C]100.081783519055[/C][C]0.344019683945767[/C][/ROW]
[ROW][C]0.12[/C][C]100.187880304951[/C][C]0.444096929748328[/C][/ROW]
[ROW][C]0.13[/C][C]100.314374278407[/C][C]0.579403868611653[/C][/ROW]
[ROW][C]0.14[/C][C]100.46838005049[/C][C]0.734297891426253[/C][/ROW]
[ROW][C]0.15[/C][C]100.653687872099[/C][C]0.890832540730338[/C][/ROW]
[ROW][C]0.16[/C][C]100.870057888834[/C][C]1.03111683261633[/C][/ROW]
[ROW][C]0.17[/C][C]101.113588372961[/C][C]1.1420682719474[/C][/ROW]
[ROW][C]0.18[/C][C]101.377958867823[/C][C]1.21771403224334[/C][/ROW]
[ROW][C]0.19[/C][C]101.656154265885[/C][C]1.26100121649076[/C][/ROW]
[ROW][C]0.2[/C][C]101.942181919325[/C][C]1.28322284043075[/C][/ROW]
[ROW][C]0.21[/C][C]102.232329414382[/C][C]1.30088064447125[/C][/ROW]
[ROW][C]0.22[/C][C]102.525667446377[/C][C]1.33100778912898[/C][/ROW]
[ROW][C]0.23[/C][C]102.823731035584[/C][C]1.38511914782475[/C][/ROW]
[ROW][C]0.24[/C][C]103.129541007647[/C][C]1.46576937006021[/C][/ROW]
[ROW][C]0.25[/C][C]103.446289271319[/C][C]1.5655052153174[/C][/ROW]
[ROW][C]0.26[/C][C]103.77606687176[/C][C]1.67064988839569[/C][/ROW]
[ROW][C]0.27[/C][C]104.118960721916[/C][C]1.76497334268607[/C][/ROW]
[ROW][C]0.28[/C][C]104.472712497683[/C][C]1.83421822812377[/C][/ROW]
[ROW][C]0.29[/C][C]104.832968119474[/C][C]1.86826282830993[/C][/ROW]
[ROW][C]0.3[/C][C]105.193996526709[/C][C]1.86325178550296[/C][/ROW]
[ROW][C]0.31[/C][C]105.549658187391[/C][C]1.82099379452898[/C][/ROW]
[ROW][C]0.32[/C][C]105.894373827606[/C][C]1.74894016322747[/C][/ROW]
[ROW][C]0.33[/C][C]106.223878850881[/C][C]1.65748336506385[/C][/ROW]
[ROW][C]0.34[/C][C]106.535629634254[/C][C]1.55854584527486[/C][/ROW]
[ROW][C]0.35[/C][C]106.828826939638[/C][C]1.46232930363026[/C][/ROW]
[ROW][C]0.36[/C][C]107.10411193548[/C][C]1.37651247190829[/C][/ROW]
[ROW][C]0.37[/C][C]107.363051828365[/C][C]1.30426278165758[/C][/ROW]
[ROW][C]0.38[/C][C]107.607555838448[/C][C]1.24493064718335[/C][/ROW]
[ROW][C]0.39[/C][C]107.839350269289[/C][C]1.19462106715211[/C][/ROW]
[ROW][C]0.4[/C][C]108.059603994176[/C][C]1.14800844412178[/C][/ROW]
[ROW][C]0.41[/C][C]108.268746866425[/C][C]1.09966701773147[/C][/ROW]
[ROW][C]0.42[/C][C]108.466476788277[/C][C]1.0452243035258[/C][/ROW]
[ROW][C]0.43[/C][C]108.651916069718[/C][C]0.982077685098037[/C][/ROW]
[ROW][C]0.44[/C][C]108.823858753034[/C][C]0.909409486325651[/C][/ROW]
[ROW][C]0.45[/C][C]108.98104744879[/C][C]0.828261759232371[/C][/ROW]
[ROW][C]0.46[/C][C]109.122427267734[/C][C]0.740588563536973[/C][/ROW]
[ROW][C]0.47[/C][C]109.247340499304[/C][C]0.649516244362857[/C][/ROW]
[ROW][C]0.48[/C][C]109.355643771035[/C][C]0.558395733231682[/C][/ROW]
[ROW][C]0.49[/C][C]109.447745686467[/C][C]0.470507990577262[/C][/ROW]
[ROW][C]0.5[/C][C]109.524575117523[/C][C]0.388524688595217[/C][/ROW]
[ROW][C]0.51[/C][C]109.587497630432[/C][C]0.314803313877234[/C][/ROW]
[ROW][C]0.52[/C][C]109.638200258463[/C][C]0.250738316485095[/C][/ROW]
[ROW][C]0.53[/C][C]109.678563954975[/C][C]0.197220590130137[/C][/ROW]
[ROW][C]0.54[/C][C]109.710539782205[/C][C]0.15432208561641[/C][/ROW]
[ROW][C]0.55[/C][C]109.736040418897[/C][C]0.121780198240104[/C][/ROW]
[ROW][C]0.56[/C][C]109.756853929357[/C][C]0.0990823349753065[/C][/ROW]
[ROW][C]0.57[/C][C]109.774582688378[/C][C]0.0851812960049229[/C][/ROW]
[ROW][C]0.58[/C][C]109.790607355986[/C][C]0.0792256501284202[/C][/ROW]
[ROW][C]0.59[/C][C]109.806073990169[/C][C]0.0793753403476464[/C][/ROW]
[ROW][C]0.6[/C][C]109.821901645631[/C][C]0.0838946369877169[/C][/ROW]
[ROW][C]0.61[/C][C]109.838807795588[/C][C]0.0915941479641922[/C][/ROW]
[ROW][C]0.62[/C][C]109.857349188873[/C][C]0.101239586780393[/C][/ROW]
[ROW][C]0.63[/C][C]109.877975884411[/C][C]0.112370840869565[/C][/ROW]
[ROW][C]0.64[/C][C]109.901095879253[/C][C]0.124932335603583[/C][/ROW]
[ROW][C]0.65[/C][C]109.927146855547[/C][C]0.139051457024435[/C][/ROW]
[ROW][C]0.66[/C][C]109.956670236911[/C][C]0.155732668059359[/C][/ROW]
[ROW][C]0.67[/C][C]109.990381288824[/C][C]0.175763695714291[/C][/ROW]
[ROW][C]0.68[/C][C]110.029227867796[/C][C]0.200662092100032[/C][/ROW]
[ROW][C]0.69[/C][C]110.074430078847[/C][C]0.231707571813416[/C][/ROW]
[ROW][C]0.7[/C][C]110.127493891966[/C][C]0.27017296026781[/C][/ROW]
[ROW][C]0.71[/C][C]110.190193843673[/C][C]0.317160765982976[/C][/ROW]
[ROW][C]0.72[/C][C]110.26452319924[/C][C]0.373108529111599[/C][/ROW]
[ROW][C]0.73[/C][C]110.352614005075[/C][C]0.437944845413999[/C][/ROW]
[ROW][C]0.74[/C][C]110.456633735759[/C][C]0.511257532985453[/C][/ROW]
[ROW][C]0.75[/C][C]110.578669015631[/C][C]0.591702556405677[/C][/ROW]
[ROW][C]0.76[/C][C]110.720609405044[/C][C]0.677640611762483[/C][/ROW]
[ROW][C]0.77[/C][C]110.884044770907[/C][C]0.766964313315148[/C][/ROW]
[ROW][C]0.78[/C][C]111.0701877457[/C][C]0.857191992069803[/C][/ROW]
[ROW][C]0.79[/C][C]111.279827942132[/C][C]0.945983039614356[/C][/ROW]
[ROW][C]0.8[/C][C]111.513317206369[/C][C]1.03107745807249[/C][/ROW]
[ROW][C]0.81[/C][C]111.770576641456[/C][C]1.11031393568537[/C][/ROW]
[ROW][C]0.82[/C][C]112.051109841717[/C][C]1.1819935809535[/C][/ROW]
[ROW][C]0.83[/C][C]112.35400917304[/C][C]1.24450411098919[/C][/ROW]
[ROW][C]0.84[/C][C]112.677961910051[/C][C]1.29630079027849[/C][/ROW]
[ROW][C]0.85[/C][C]113.021307224413[/C][C]1.33565517085097[/C][/ROW]
[ROW][C]0.86[/C][C]113.382256312131[/C][C]1.36116894211711[/C][/ROW]
[ROW][C]0.87[/C][C]113.759429548646[/C][C]1.37257106735175[/C][/ROW]
[ROW][C]0.88[/C][C]114.152812348671[/C][C]1.37259948787728[/C][/ROW]
[ROW][C]0.89[/C][C]114.564999990758[/C][C]1.3695531057875[/C][/ROW]
[ROW][C]0.9[/C][C]115.002177163541[/C][C]1.37806999613663[/C][/ROW]
[ROW][C]0.91[/C][C]115.473838356777[/C][C]1.41457301313982[/C][/ROW]
[ROW][C]0.92[/C][C]115.990217152292[/C][C]1.48451332730141[/C][/ROW]
[ROW][C]0.93[/C][C]116.557196293563[/C][C]1.56696671364307[/C][/ROW]
[ROW][C]0.94[/C][C]117.17003281524[/C][C]1.61422307708151[/C][/ROW]
[ROW][C]0.95[/C][C]117.808492638312[/C][C]1.57250913154409[/C][/ROW]
[ROW][C]0.96[/C][C]118.435560085153[/C][C]1.41116109882575[/C][/ROW]
[ROW][C]0.97[/C][C]119.000236579525[/C][C]1.13326235648373[/C][/ROW]
[ROW][C]0.98[/C][C]119.44548983053[/C][C]0.758680919994802[/C][/ROW]
[ROW][C]0.99[/C][C]119.726337651319[/C][C]0.334328412052184[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207050&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207050&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	99.4217163432565	0.00720688753120843
0.02	99.4293595184844	0.0316672069164301
0.03	99.4493434436669	0.0791425860118031
0.04	99.4876827599845	0.143732812697782
0.05	99.546808788978	0.208932875920844
0.06	99.6240052047877	0.256925478082213
0.07	99.7125839316118	0.278575184660703
0.08	99.8050851036665	0.278294915214278
0.09	99.8967064900782	0.273355365431376
0.1	99.9873675090037	0.288494992599109
0.11	100.081783519055	0.344019683945767
0.12	100.187880304951	0.444096929748328
0.13	100.314374278407	0.579403868611653
0.14	100.46838005049	0.734297891426253
0.15	100.653687872099	0.890832540730338
0.16	100.870057888834	1.03111683261633
0.17	101.113588372961	1.1420682719474
0.18	101.377958867823	1.21771403224334
0.19	101.656154265885	1.26100121649076
0.2	101.942181919325	1.28322284043075
0.21	102.232329414382	1.30088064447125
0.22	102.525667446377	1.33100778912898
0.23	102.823731035584	1.38511914782475
0.24	103.129541007647	1.46576937006021
0.25	103.446289271319	1.5655052153174
0.26	103.77606687176	1.67064988839569
0.27	104.118960721916	1.76497334268607
0.28	104.472712497683	1.83421822812377
0.29	104.832968119474	1.86826282830993
0.3	105.193996526709	1.86325178550296
0.31	105.549658187391	1.82099379452898
0.32	105.894373827606	1.74894016322747
0.33	106.223878850881	1.65748336506385
0.34	106.535629634254	1.55854584527486
0.35	106.828826939638	1.46232930363026
0.36	107.10411193548	1.37651247190829
0.37	107.363051828365	1.30426278165758
0.38	107.607555838448	1.24493064718335
0.39	107.839350269289	1.19462106715211
0.4	108.059603994176	1.14800844412178
0.41	108.268746866425	1.09966701773147
0.42	108.466476788277	1.0452243035258
0.43	108.651916069718	0.982077685098037
0.44	108.823858753034	0.909409486325651
0.45	108.98104744879	0.828261759232371
0.46	109.122427267734	0.740588563536973
0.47	109.247340499304	0.649516244362857
0.48	109.355643771035	0.558395733231682
0.49	109.447745686467	0.470507990577262
0.5	109.524575117523	0.388524688595217
0.51	109.587497630432	0.314803313877234
0.52	109.638200258463	0.250738316485095
0.53	109.678563954975	0.197220590130137
0.54	109.710539782205	0.15432208561641
0.55	109.736040418897	0.121780198240104
0.56	109.756853929357	0.0990823349753065
0.57	109.774582688378	0.0851812960049229
0.58	109.790607355986	0.0792256501284202
0.59	109.806073990169	0.0793753403476464
0.6	109.821901645631	0.0838946369877169
0.61	109.838807795588	0.0915941479641922
0.62	109.857349188873	0.101239586780393
0.63	109.877975884411	0.112370840869565
0.64	109.901095879253	0.124932335603583
0.65	109.927146855547	0.139051457024435
0.66	109.956670236911	0.155732668059359
0.67	109.990381288824	0.175763695714291
0.68	110.029227867796	0.200662092100032
0.69	110.074430078847	0.231707571813416
0.7	110.127493891966	0.27017296026781
0.71	110.190193843673	0.317160765982976
0.72	110.26452319924	0.373108529111599
0.73	110.352614005075	0.437944845413999
0.74	110.456633735759	0.511257532985453
0.75	110.578669015631	0.591702556405677
0.76	110.720609405044	0.677640611762483
0.77	110.884044770907	0.766964313315148
0.78	111.0701877457	0.857191992069803
0.79	111.279827942132	0.945983039614356
0.8	111.513317206369	1.03107745807249
0.81	111.770576641456	1.11031393568537
0.82	112.051109841717	1.1819935809535
0.83	112.35400917304	1.24450411098919
0.84	112.677961910051	1.29630079027849
0.85	113.021307224413	1.33565517085097
0.86	113.382256312131	1.36116894211711
0.87	113.759429548646	1.37257106735175
0.88	114.152812348671	1.37259948787728
0.89	114.564999990758	1.3695531057875
0.9	115.002177163541	1.37806999613663
0.91	115.473838356777	1.41457301313982
0.92	115.990217152292	1.48451332730141
0.93	116.557196293563	1.56696671364307
0.94	117.17003281524	1.61422307708151
0.95	117.808492638312	1.57250913154409
0.96	118.435560085153	1.41116109882575
0.97	119.000236579525	1.13326235648373
0.98	119.44548983053	0.758680919994802
0.99	119.726337651319	0.334328412052184

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):

par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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