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R Software Module

rwasp_harrell_davis.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Sat, 27 Feb 2016 10:54:55 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/27/t1456570541krk7e2vyhiyhsns.htm/, Retrieved Sat, 27 Apr 2024 12:58:54 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292851, Retrieved Sat, 27 Apr 2024 12:58:54 +0000

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Estimated Impact

120

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

-       [Harrell-Davis Quantiles] [Harrel-Davis Quan...] [2016-02-27 10:54:55] [fcb50c3fd850be3d4e9c7b78a2663ee0] [Current]
- RMPD    [Exponential Smoothing] [Exponential Smoot...] [2016-05-02 10:07:10] [c654849ccc5a3f9604e59101648dee14] 
- RMP     [Exponential Smoothing] [Exponential Smoot...] [2016-05-02 10:12:25] [c654849ccc5a3f9604e59101648dee14] 
- RMPD    [Bootstrap Plot - Central Tendency] [Bootstrap Plot Ma...] [2016-05-02 12:02:33] [c654849ccc5a3f9604e59101648dee14] 
- RMPD      [Blocked Bootstrap Plot - Central Tendency] [Blocked Bootstrap...] [2016-05-02 12:38:15] [c654849ccc5a3f9604e59101648dee14] 

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Dataseries X:

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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	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292851&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' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292851&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292851&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' @ fisher.wessa.net

Harrell-Davis Quantiles
quantiles	value	standard error
0.01	86.5339823688569	0.544538803842445
0.02	86.8883914266663	1.06281157642449
0.03	87.4482319728469	1.72244278523768
0.04	88.1889327088919	2.2763552755786
0.05	89.0477536405667	2.56756903696097
0.06	89.9415977239301	2.56738550885041
0.07	90.7921144092576	2.34357174349473
0.08	91.5443809595371	2.00122531840561
0.09	92.172927015872	1.63432105702881
0.1	92.6772826662255	1.30455984685334
0.11	93.0727944305048	1.04055402648766
0.12	93.3816535000909	0.847693217026254
0.13	93.6266064255281	0.719221141697984
0.14	93.827686672589	0.644454423103894
0.15	94.0012016137222	0.614091856842801
0.16	94.1599680124774	0.621602762077747
0.17	94.3139959274445	0.662021137611184
0.18	94.471146187018	0.731113279692447
0.19	94.6375624652836	0.823712585896016
0.2	94.8178578847206	0.933192900623791
0.21	95.0151279821594	1.05213165477407
0.22	95.230892535877	1.17213234587477
0.23	95.4650615068341	1.2844304737013
0.24	95.7159923237433	1.38119603594777
0.25	95.9806692957703	1.45591604806921
0.26	96.2550004059728	1.50380025638542
0.27	96.53419899844	1.5227290140532
0.28	96.8132020120318	1.51273228223584
0.29	97.0870733758392	1.47567820750997
0.3	97.3513489786985	1.41549246477599
0.31	97.6022942687967	1.33656625772901
0.32	97.837062390559	1.24427894206361
0.33	98.0537558368756	1.14373563750381
0.34	98.2514053985649	1.0397964330024
0.35	98.4298859653885	0.936756899997307
0.36	98.5897901015996	0.838051478249545
0.37	98.7322786685176	0.74671019596998
0.38	98.8589245858465	0.664637159205151
0.39	98.9715622499925	0.593094951356238
0.4	99.0721517752996	0.532762846041063
0.41	99.162664256139	0.483483326597746
0.42	99.2449915842487	0.444691634354211
0.43	99.3208818906295	0.415458877319667
0.44	99.3918994200427	0.394500016479719
0.45	99.4594057309265	0.380522290933468
0.46	99.5245577571471	0.372485308054358
0.47	99.588317646957	0.368929344434053
0.48	99.6514694571136	0.369262706426637
0.49	99.7146386076463	0.37248824872356
0.5	99.7783112356643	0.377811434421473
0.51	99.8428519003322	0.384702911898658
0.52	99.908519191218	0.39246211496199
0.53	99.9754794943182	0.40066430389196
0.54	100.043819440147	0.408789373494421
0.55	100.113557503451	0.416563868927672
0.56	100.18465504194	0.423661031534774
0.57	100.257026966947	0.429951899382196
0.58	100.330552393519	0.434996746472045
0.59	100.405086078622	0.438968424932806
0.6	100.480472158971	0.441710735960261
0.61	100.556562468316	0.443170414964205
0.62	100.633242291836	0.443561767822274
0.63	100.710466506917	0.443178667174005
0.64	100.788308369802	0.442607694587844
0.65	100.867021483903	0.442700148352159
0.66	100.947112571732	0.444983253601501
0.67	101.029418586012	0.451347930661441
0.68	101.115176733754	0.464475199329946
0.69	101.206070843486	0.487091835348466
0.7	101.304233351468	0.522235319313977
0.71	101.412180636705	0.572274571998181
0.72	101.532662341093	0.638289028832662
0.73	101.668414268728	0.719620931052312
0.74	101.821820129172	0.813148869815197
0.75	101.994508733292	0.91368890353914
0.76	102.186936967807	1.01379278733573
0.77	102.398029410827	1.10435558990571
0.78	102.62495586273	1.17568770399977
0.79	102.863121827754	1.21876801985535
0.8	103.106420402578	1.22653510157911
0.81	103.347748557799	1.19531369155153
0.82	103.579734208335	1.12569239985974
0.83	103.795566051494	1.02265918247527
0.84	103.989781651273	0.895181130044501
0.85	104.15886416305	0.75450206318671
0.86	104.301530847854	0.612788930852741
0.87	104.418663326522	0.480865262082555
0.88	104.512916213813	0.36680817438868
0.89	104.588125783835	0.275246084064661
0.9	104.648699630615	0.207046236026986
0.91	104.699180897872	0.16005109417374
0.92	104.74413347044	0.130729145791249
0.93	104.788384779784	0.116486465175648
0.94	104.83749130479	0.117442476282826
0.95	104.89803768431	0.134800947588012
0.96	104.976986130203	0.167143205730479
0.97	105.078815248352	0.209988829625378
0.98	105.199376955072	0.257642593495294
0.99	105.318385002195	0.303051164490435

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.5339823688569 & 0.544538803842445 \tabularnewline
0.02 & 86.8883914266663 & 1.06281157642449 \tabularnewline
0.03 & 87.4482319728469 & 1.72244278523768 \tabularnewline
0.04 & 88.1889327088919 & 2.2763552755786 \tabularnewline
0.05 & 89.0477536405667 & 2.56756903696097 \tabularnewline
0.06 & 89.9415977239301 & 2.56738550885041 \tabularnewline
0.07 & 90.7921144092576 & 2.34357174349473 \tabularnewline
0.08 & 91.5443809595371 & 2.00122531840561 \tabularnewline
0.09 & 92.172927015872 & 1.63432105702881 \tabularnewline
0.1 & 92.6772826662255 & 1.30455984685334 \tabularnewline
0.11 & 93.0727944305048 & 1.04055402648766 \tabularnewline
0.12 & 93.3816535000909 & 0.847693217026254 \tabularnewline
0.13 & 93.6266064255281 & 0.719221141697984 \tabularnewline
0.14 & 93.827686672589 & 0.644454423103894 \tabularnewline
0.15 & 94.0012016137222 & 0.614091856842801 \tabularnewline
0.16 & 94.1599680124774 & 0.621602762077747 \tabularnewline
0.17 & 94.3139959274445 & 0.662021137611184 \tabularnewline
0.18 & 94.471146187018 & 0.731113279692447 \tabularnewline
0.19 & 94.6375624652836 & 0.823712585896016 \tabularnewline
0.2 & 94.8178578847206 & 0.933192900623791 \tabularnewline
0.21 & 95.0151279821594 & 1.05213165477407 \tabularnewline
0.22 & 95.230892535877 & 1.17213234587477 \tabularnewline
0.23 & 95.4650615068341 & 1.2844304737013 \tabularnewline
0.24 & 95.7159923237433 & 1.38119603594777 \tabularnewline
0.25 & 95.9806692957703 & 1.45591604806921 \tabularnewline
0.26 & 96.2550004059728 & 1.50380025638542 \tabularnewline
0.27 & 96.53419899844 & 1.5227290140532 \tabularnewline
0.28 & 96.8132020120318 & 1.51273228223584 \tabularnewline
0.29 & 97.0870733758392 & 1.47567820750997 \tabularnewline
0.3 & 97.3513489786985 & 1.41549246477599 \tabularnewline
0.31 & 97.6022942687967 & 1.33656625772901 \tabularnewline
0.32 & 97.837062390559 & 1.24427894206361 \tabularnewline
0.33 & 98.0537558368756 & 1.14373563750381 \tabularnewline
0.34 & 98.2514053985649 & 1.0397964330024 \tabularnewline
0.35 & 98.4298859653885 & 0.936756899997307 \tabularnewline
0.36 & 98.5897901015996 & 0.838051478249545 \tabularnewline
0.37 & 98.7322786685176 & 0.74671019596998 \tabularnewline
0.38 & 98.8589245858465 & 0.664637159205151 \tabularnewline
0.39 & 98.9715622499925 & 0.593094951356238 \tabularnewline
0.4 & 99.0721517752996 & 0.532762846041063 \tabularnewline
0.41 & 99.162664256139 & 0.483483326597746 \tabularnewline
0.42 & 99.2449915842487 & 0.444691634354211 \tabularnewline
0.43 & 99.3208818906295 & 0.415458877319667 \tabularnewline
0.44 & 99.3918994200427 & 0.394500016479719 \tabularnewline
0.45 & 99.4594057309265 & 0.380522290933468 \tabularnewline
0.46 & 99.5245577571471 & 0.372485308054358 \tabularnewline
0.47 & 99.588317646957 & 0.368929344434053 \tabularnewline
0.48 & 99.6514694571136 & 0.369262706426637 \tabularnewline
0.49 & 99.7146386076463 & 0.37248824872356 \tabularnewline
0.5 & 99.7783112356643 & 0.377811434421473 \tabularnewline
0.51 & 99.8428519003322 & 0.384702911898658 \tabularnewline
0.52 & 99.908519191218 & 0.39246211496199 \tabularnewline
0.53 & 99.9754794943182 & 0.40066430389196 \tabularnewline
0.54 & 100.043819440147 & 0.408789373494421 \tabularnewline
0.55 & 100.113557503451 & 0.416563868927672 \tabularnewline
0.56 & 100.18465504194 & 0.423661031534774 \tabularnewline
0.57 & 100.257026966947 & 0.429951899382196 \tabularnewline
0.58 & 100.330552393519 & 0.434996746472045 \tabularnewline
0.59 & 100.405086078622 & 0.438968424932806 \tabularnewline
0.6 & 100.480472158971 & 0.441710735960261 \tabularnewline
0.61 & 100.556562468316 & 0.443170414964205 \tabularnewline
0.62 & 100.633242291836 & 0.443561767822274 \tabularnewline
0.63 & 100.710466506917 & 0.443178667174005 \tabularnewline
0.64 & 100.788308369802 & 0.442607694587844 \tabularnewline
0.65 & 100.867021483903 & 0.442700148352159 \tabularnewline
0.66 & 100.947112571732 & 0.444983253601501 \tabularnewline
0.67 & 101.029418586012 & 0.451347930661441 \tabularnewline
0.68 & 101.115176733754 & 0.464475199329946 \tabularnewline
0.69 & 101.206070843486 & 0.487091835348466 \tabularnewline
0.7 & 101.304233351468 & 0.522235319313977 \tabularnewline
0.71 & 101.412180636705 & 0.572274571998181 \tabularnewline
0.72 & 101.532662341093 & 0.638289028832662 \tabularnewline
0.73 & 101.668414268728 & 0.719620931052312 \tabularnewline
0.74 & 101.821820129172 & 0.813148869815197 \tabularnewline
0.75 & 101.994508733292 & 0.91368890353914 \tabularnewline
0.76 & 102.186936967807 & 1.01379278733573 \tabularnewline
0.77 & 102.398029410827 & 1.10435558990571 \tabularnewline
0.78 & 102.62495586273 & 1.17568770399977 \tabularnewline
0.79 & 102.863121827754 & 1.21876801985535 \tabularnewline
0.8 & 103.106420402578 & 1.22653510157911 \tabularnewline
0.81 & 103.347748557799 & 1.19531369155153 \tabularnewline
0.82 & 103.579734208335 & 1.12569239985974 \tabularnewline
0.83 & 103.795566051494 & 1.02265918247527 \tabularnewline
0.84 & 103.989781651273 & 0.895181130044501 \tabularnewline
0.85 & 104.15886416305 & 0.75450206318671 \tabularnewline
0.86 & 104.301530847854 & 0.612788930852741 \tabularnewline
0.87 & 104.418663326522 & 0.480865262082555 \tabularnewline
0.88 & 104.512916213813 & 0.36680817438868 \tabularnewline
0.89 & 104.588125783835 & 0.275246084064661 \tabularnewline
0.9 & 104.648699630615 & 0.207046236026986 \tabularnewline
0.91 & 104.699180897872 & 0.16005109417374 \tabularnewline
0.92 & 104.74413347044 & 0.130729145791249 \tabularnewline
0.93 & 104.788384779784 & 0.116486465175648 \tabularnewline
0.94 & 104.83749130479 & 0.117442476282826 \tabularnewline
0.95 & 104.89803768431 & 0.134800947588012 \tabularnewline
0.96 & 104.976986130203 & 0.167143205730479 \tabularnewline
0.97 & 105.078815248352 & 0.209988829625378 \tabularnewline
0.98 & 105.199376955072 & 0.257642593495294 \tabularnewline
0.99 & 105.318385002195 & 0.303051164490435 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292851&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]86.5339823688569[/C][C]0.544538803842445[/C][/ROW]
[ROW][C]0.02[/C][C]86.8883914266663[/C][C]1.06281157642449[/C][/ROW]
[ROW][C]0.03[/C][C]87.4482319728469[/C][C]1.72244278523768[/C][/ROW]
[ROW][C]0.04[/C][C]88.1889327088919[/C][C]2.2763552755786[/C][/ROW]
[ROW][C]0.05[/C][C]89.0477536405667[/C][C]2.56756903696097[/C][/ROW]
[ROW][C]0.06[/C][C]89.9415977239301[/C][C]2.56738550885041[/C][/ROW]
[ROW][C]0.07[/C][C]90.7921144092576[/C][C]2.34357174349473[/C][/ROW]
[ROW][C]0.08[/C][C]91.5443809595371[/C][C]2.00122531840561[/C][/ROW]
[ROW][C]0.09[/C][C]92.172927015872[/C][C]1.63432105702881[/C][/ROW]
[ROW][C]0.1[/C][C]92.6772826662255[/C][C]1.30455984685334[/C][/ROW]
[ROW][C]0.11[/C][C]93.0727944305048[/C][C]1.04055402648766[/C][/ROW]
[ROW][C]0.12[/C][C]93.3816535000909[/C][C]0.847693217026254[/C][/ROW]
[ROW][C]0.13[/C][C]93.6266064255281[/C][C]0.719221141697984[/C][/ROW]
[ROW][C]0.14[/C][C]93.827686672589[/C][C]0.644454423103894[/C][/ROW]
[ROW][C]0.15[/C][C]94.0012016137222[/C][C]0.614091856842801[/C][/ROW]
[ROW][C]0.16[/C][C]94.1599680124774[/C][C]0.621602762077747[/C][/ROW]
[ROW][C]0.17[/C][C]94.3139959274445[/C][C]0.662021137611184[/C][/ROW]
[ROW][C]0.18[/C][C]94.471146187018[/C][C]0.731113279692447[/C][/ROW]
[ROW][C]0.19[/C][C]94.6375624652836[/C][C]0.823712585896016[/C][/ROW]
[ROW][C]0.2[/C][C]94.8178578847206[/C][C]0.933192900623791[/C][/ROW]
[ROW][C]0.21[/C][C]95.0151279821594[/C][C]1.05213165477407[/C][/ROW]
[ROW][C]0.22[/C][C]95.230892535877[/C][C]1.17213234587477[/C][/ROW]
[ROW][C]0.23[/C][C]95.4650615068341[/C][C]1.2844304737013[/C][/ROW]
[ROW][C]0.24[/C][C]95.7159923237433[/C][C]1.38119603594777[/C][/ROW]
[ROW][C]0.25[/C][C]95.9806692957703[/C][C]1.45591604806921[/C][/ROW]
[ROW][C]0.26[/C][C]96.2550004059728[/C][C]1.50380025638542[/C][/ROW]
[ROW][C]0.27[/C][C]96.53419899844[/C][C]1.5227290140532[/C][/ROW]
[ROW][C]0.28[/C][C]96.8132020120318[/C][C]1.51273228223584[/C][/ROW]
[ROW][C]0.29[/C][C]97.0870733758392[/C][C]1.47567820750997[/C][/ROW]
[ROW][C]0.3[/C][C]97.3513489786985[/C][C]1.41549246477599[/C][/ROW]
[ROW][C]0.31[/C][C]97.6022942687967[/C][C]1.33656625772901[/C][/ROW]
[ROW][C]0.32[/C][C]97.837062390559[/C][C]1.24427894206361[/C][/ROW]
[ROW][C]0.33[/C][C]98.0537558368756[/C][C]1.14373563750381[/C][/ROW]
[ROW][C]0.34[/C][C]98.2514053985649[/C][C]1.0397964330024[/C][/ROW]
[ROW][C]0.35[/C][C]98.4298859653885[/C][C]0.936756899997307[/C][/ROW]
[ROW][C]0.36[/C][C]98.5897901015996[/C][C]0.838051478249545[/C][/ROW]
[ROW][C]0.37[/C][C]98.7322786685176[/C][C]0.74671019596998[/C][/ROW]
[ROW][C]0.38[/C][C]98.8589245858465[/C][C]0.664637159205151[/C][/ROW]
[ROW][C]0.39[/C][C]98.9715622499925[/C][C]0.593094951356238[/C][/ROW]
[ROW][C]0.4[/C][C]99.0721517752996[/C][C]0.532762846041063[/C][/ROW]
[ROW][C]0.41[/C][C]99.162664256139[/C][C]0.483483326597746[/C][/ROW]
[ROW][C]0.42[/C][C]99.2449915842487[/C][C]0.444691634354211[/C][/ROW]
[ROW][C]0.43[/C][C]99.3208818906295[/C][C]0.415458877319667[/C][/ROW]
[ROW][C]0.44[/C][C]99.3918994200427[/C][C]0.394500016479719[/C][/ROW]
[ROW][C]0.45[/C][C]99.4594057309265[/C][C]0.380522290933468[/C][/ROW]
[ROW][C]0.46[/C][C]99.5245577571471[/C][C]0.372485308054358[/C][/ROW]
[ROW][C]0.47[/C][C]99.588317646957[/C][C]0.368929344434053[/C][/ROW]
[ROW][C]0.48[/C][C]99.6514694571136[/C][C]0.369262706426637[/C][/ROW]
[ROW][C]0.49[/C][C]99.7146386076463[/C][C]0.37248824872356[/C][/ROW]
[ROW][C]0.5[/C][C]99.7783112356643[/C][C]0.377811434421473[/C][/ROW]
[ROW][C]0.51[/C][C]99.8428519003322[/C][C]0.384702911898658[/C][/ROW]
[ROW][C]0.52[/C][C]99.908519191218[/C][C]0.39246211496199[/C][/ROW]
[ROW][C]0.53[/C][C]99.9754794943182[/C][C]0.40066430389196[/C][/ROW]
[ROW][C]0.54[/C][C]100.043819440147[/C][C]0.408789373494421[/C][/ROW]
[ROW][C]0.55[/C][C]100.113557503451[/C][C]0.416563868927672[/C][/ROW]
[ROW][C]0.56[/C][C]100.18465504194[/C][C]0.423661031534774[/C][/ROW]
[ROW][C]0.57[/C][C]100.257026966947[/C][C]0.429951899382196[/C][/ROW]
[ROW][C]0.58[/C][C]100.330552393519[/C][C]0.434996746472045[/C][/ROW]
[ROW][C]0.59[/C][C]100.405086078622[/C][C]0.438968424932806[/C][/ROW]
[ROW][C]0.6[/C][C]100.480472158971[/C][C]0.441710735960261[/C][/ROW]
[ROW][C]0.61[/C][C]100.556562468316[/C][C]0.443170414964205[/C][/ROW]
[ROW][C]0.62[/C][C]100.633242291836[/C][C]0.443561767822274[/C][/ROW]
[ROW][C]0.63[/C][C]100.710466506917[/C][C]0.443178667174005[/C][/ROW]
[ROW][C]0.64[/C][C]100.788308369802[/C][C]0.442607694587844[/C][/ROW]
[ROW][C]0.65[/C][C]100.867021483903[/C][C]0.442700148352159[/C][/ROW]
[ROW][C]0.66[/C][C]100.947112571732[/C][C]0.444983253601501[/C][/ROW]
[ROW][C]0.67[/C][C]101.029418586012[/C][C]0.451347930661441[/C][/ROW]
[ROW][C]0.68[/C][C]101.115176733754[/C][C]0.464475199329946[/C][/ROW]
[ROW][C]0.69[/C][C]101.206070843486[/C][C]0.487091835348466[/C][/ROW]
[ROW][C]0.7[/C][C]101.304233351468[/C][C]0.522235319313977[/C][/ROW]
[ROW][C]0.71[/C][C]101.412180636705[/C][C]0.572274571998181[/C][/ROW]
[ROW][C]0.72[/C][C]101.532662341093[/C][C]0.638289028832662[/C][/ROW]
[ROW][C]0.73[/C][C]101.668414268728[/C][C]0.719620931052312[/C][/ROW]
[ROW][C]0.74[/C][C]101.821820129172[/C][C]0.813148869815197[/C][/ROW]
[ROW][C]0.75[/C][C]101.994508733292[/C][C]0.91368890353914[/C][/ROW]
[ROW][C]0.76[/C][C]102.186936967807[/C][C]1.01379278733573[/C][/ROW]
[ROW][C]0.77[/C][C]102.398029410827[/C][C]1.10435558990571[/C][/ROW]
[ROW][C]0.78[/C][C]102.62495586273[/C][C]1.17568770399977[/C][/ROW]
[ROW][C]0.79[/C][C]102.863121827754[/C][C]1.21876801985535[/C][/ROW]
[ROW][C]0.8[/C][C]103.106420402578[/C][C]1.22653510157911[/C][/ROW]
[ROW][C]0.81[/C][C]103.347748557799[/C][C]1.19531369155153[/C][/ROW]
[ROW][C]0.82[/C][C]103.579734208335[/C][C]1.12569239985974[/C][/ROW]
[ROW][C]0.83[/C][C]103.795566051494[/C][C]1.02265918247527[/C][/ROW]
[ROW][C]0.84[/C][C]103.989781651273[/C][C]0.895181130044501[/C][/ROW]
[ROW][C]0.85[/C][C]104.15886416305[/C][C]0.75450206318671[/C][/ROW]
[ROW][C]0.86[/C][C]104.301530847854[/C][C]0.612788930852741[/C][/ROW]
[ROW][C]0.87[/C][C]104.418663326522[/C][C]0.480865262082555[/C][/ROW]
[ROW][C]0.88[/C][C]104.512916213813[/C][C]0.36680817438868[/C][/ROW]
[ROW][C]0.89[/C][C]104.588125783835[/C][C]0.275246084064661[/C][/ROW]
[ROW][C]0.9[/C][C]104.648699630615[/C][C]0.207046236026986[/C][/ROW]
[ROW][C]0.91[/C][C]104.699180897872[/C][C]0.16005109417374[/C][/ROW]
[ROW][C]0.92[/C][C]104.74413347044[/C][C]0.130729145791249[/C][/ROW]
[ROW][C]0.93[/C][C]104.788384779784[/C][C]0.116486465175648[/C][/ROW]
[ROW][C]0.94[/C][C]104.83749130479[/C][C]0.117442476282826[/C][/ROW]
[ROW][C]0.95[/C][C]104.89803768431[/C][C]0.134800947588012[/C][/ROW]
[ROW][C]0.96[/C][C]104.976986130203[/C][C]0.167143205730479[/C][/ROW]
[ROW][C]0.97[/C][C]105.078815248352[/C][C]0.209988829625378[/C][/ROW]
[ROW][C]0.98[/C][C]105.199376955072[/C][C]0.257642593495294[/C][/ROW]
[ROW][C]0.99[/C][C]105.318385002195[/C][C]0.303051164490435[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292851&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292851&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	86.5339823688569	0.544538803842445
0.02	86.8883914266663	1.06281157642449
0.03	87.4482319728469	1.72244278523768
0.04	88.1889327088919	2.2763552755786
0.05	89.0477536405667	2.56756903696097
0.06	89.9415977239301	2.56738550885041
0.07	90.7921144092576	2.34357174349473
0.08	91.5443809595371	2.00122531840561
0.09	92.172927015872	1.63432105702881
0.1	92.6772826662255	1.30455984685334
0.11	93.0727944305048	1.04055402648766
0.12	93.3816535000909	0.847693217026254
0.13	93.6266064255281	0.719221141697984
0.14	93.827686672589	0.644454423103894
0.15	94.0012016137222	0.614091856842801
0.16	94.1599680124774	0.621602762077747
0.17	94.3139959274445	0.662021137611184
0.18	94.471146187018	0.731113279692447
0.19	94.6375624652836	0.823712585896016
0.2	94.8178578847206	0.933192900623791
0.21	95.0151279821594	1.05213165477407
0.22	95.230892535877	1.17213234587477
0.23	95.4650615068341	1.2844304737013
0.24	95.7159923237433	1.38119603594777
0.25	95.9806692957703	1.45591604806921
0.26	96.2550004059728	1.50380025638542
0.27	96.53419899844	1.5227290140532
0.28	96.8132020120318	1.51273228223584
0.29	97.0870733758392	1.47567820750997
0.3	97.3513489786985	1.41549246477599
0.31	97.6022942687967	1.33656625772901
0.32	97.837062390559	1.24427894206361
0.33	98.0537558368756	1.14373563750381
0.34	98.2514053985649	1.0397964330024
0.35	98.4298859653885	0.936756899997307
0.36	98.5897901015996	0.838051478249545
0.37	98.7322786685176	0.74671019596998
0.38	98.8589245858465	0.664637159205151
0.39	98.9715622499925	0.593094951356238
0.4	99.0721517752996	0.532762846041063
0.41	99.162664256139	0.483483326597746
0.42	99.2449915842487	0.444691634354211
0.43	99.3208818906295	0.415458877319667
0.44	99.3918994200427	0.394500016479719
0.45	99.4594057309265	0.380522290933468
0.46	99.5245577571471	0.372485308054358
0.47	99.588317646957	0.368929344434053
0.48	99.6514694571136	0.369262706426637
0.49	99.7146386076463	0.37248824872356
0.5	99.7783112356643	0.377811434421473
0.51	99.8428519003322	0.384702911898658
0.52	99.908519191218	0.39246211496199
0.53	99.9754794943182	0.40066430389196
0.54	100.043819440147	0.408789373494421
0.55	100.113557503451	0.416563868927672
0.56	100.18465504194	0.423661031534774
0.57	100.257026966947	0.429951899382196
0.58	100.330552393519	0.434996746472045
0.59	100.405086078622	0.438968424932806
0.6	100.480472158971	0.441710735960261
0.61	100.556562468316	0.443170414964205
0.62	100.633242291836	0.443561767822274
0.63	100.710466506917	0.443178667174005
0.64	100.788308369802	0.442607694587844
0.65	100.867021483903	0.442700148352159
0.66	100.947112571732	0.444983253601501
0.67	101.029418586012	0.451347930661441
0.68	101.115176733754	0.464475199329946
0.69	101.206070843486	0.487091835348466
0.7	101.304233351468	0.522235319313977
0.71	101.412180636705	0.572274571998181
0.72	101.532662341093	0.638289028832662
0.73	101.668414268728	0.719620931052312
0.74	101.821820129172	0.813148869815197
0.75	101.994508733292	0.91368890353914
0.76	102.186936967807	1.01379278733573
0.77	102.398029410827	1.10435558990571
0.78	102.62495586273	1.17568770399977
0.79	102.863121827754	1.21876801985535
0.8	103.106420402578	1.22653510157911
0.81	103.347748557799	1.19531369155153
0.82	103.579734208335	1.12569239985974
0.83	103.795566051494	1.02265918247527
0.84	103.989781651273	0.895181130044501
0.85	104.15886416305	0.75450206318671
0.86	104.301530847854	0.612788930852741
0.87	104.418663326522	0.480865262082555
0.88	104.512916213813	0.36680817438868
0.89	104.588125783835	0.275246084064661
0.9	104.648699630615	0.207046236026986
0.91	104.699180897872	0.16005109417374
0.92	104.74413347044	0.130729145791249
0.93	104.788384779784	0.116486465175648
0.94	104.83749130479	0.117442476282826
0.95	104.89803768431	0.134800947588012
0.96	104.976986130203	0.167143205730479
0.97	105.078815248352	0.209988829625378
0.98	105.199376955072	0.257642593495294
0.99	105.318385002195	0.303051164490435

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 <- '0.1'
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