Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_harrell_davies.wasp

Title produced by software

Harrell-Davis Quantiles

Date of computation

Tue, 28 Oct 2008 14:55:52 -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/2008/Oct/28/t1225227400kka57g4n15ix8e9.htm/, Retrieved Sun, 19 May 2024 21:36:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19814, Retrieved Sun, 19 May 2024 21:36:36 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

202

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

F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
-    D  [Harrell-Davis Quantiles] [Q9 Confidence Int...] [2008-10-25 13:59:54] [87cabf13a90315c7085b765dcebb7412]
F         [Harrell-Davis Quantiles] [Q9] [2008-10-27 21:51:30] [d2d412c7f4d35ffbf5ee5ee89db327d4]
- R P         [Harrell-Davis Quantiles] [feedback taak 3 t...] [2008-10-28 20:55:52] [b23db733701c4d62df5e228d507c1c6a] [Current]
-   P           [Harrell-Davis Quantiles] [Verbetering task ...] [2008-11-03 07:20:47] [33f4701c7363e8b81858dafbf0350eed] 

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

7.4
7.2
7.1
6.9
6.8
6.8
6.8
6.9
6.7
6.6
6.5
6.4
6.3
6.3
6.3
6.5
6.6
6.5
6.4
6.5
6.7
7.1
7.1
7.2
7.2
7.3
7.3
7.3
7.3
7.4
7.6
7.6
7.6
7.7
7.8
7.9
8.1
8.1
8.1
8.2
8.2
8.2
8.2
8.2
8.2
8.3
8.3
8.4
8.4
8.4
8.3
8.0
8.0
8.2
8.6
8.7
8.7
8.5
8.4
8.4
8.4
8.5
8.5
8.5
8.5
8.5
8.4
8.4
8.4
8.5
8.6
8.6
8.6
8.6
8.5
8.4
8.4
8.3
8.2
8.1
8.2
8.1
8.0
7.9
7.8
7.7
7.7
7.9
7.8
7.6
7.4
7.3
7.1
7.1
7.0
7.0
7.0
6.9
6.8
6.7
6.6
6.6

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=19814&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=19814&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19814&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	-1.35901442477664	0.0168510227154592
0.02	-1.33989947169227	0.0457925189203454
0.03	-1.3071412179243	0.0668419310044435
0.04	-1.26770661913780	0.073093051556618
0.05	-1.22887374014216	0.0701354211358788
0.06	-1.19417840899045	0.0652791411379298
0.07	-1.16371524762485	0.0631673030849566
0.08	-1.13599203775921	0.064866252083805
0.09	-1.10939913498716	0.0689803333322596
0.1	-1.08284942557190	0.073999945011683
0.11	-1.05581442659854	0.0792480107097645
0.12	-1.02812736688660	0.0844460472273213
0.13	-0.999807952092137	0.0892753630163371
0.14	-0.970971434015348	0.0934211521511224
0.15	-0.94177661536392	0.0967943440909785
0.16	-0.91237334176766	0.0996146948685932
0.17	-0.882856113159579	0.102263279624769
0.18	-0.853249820962074	0.105030439438299
0.19	-0.8235371172841	0.107936795839404
0.2	-0.793710465602731	0.110722318835054
0.21	-0.763819012720155	0.112983558337394
0.22	-0.733986427954249	0.114358985420805
0.23	-0.70439271288185	0.114681218246476
0.24	-0.675229656880838	0.114045060354662
0.25	-0.646648872763076	0.112778248177228
0.26	-0.618721354032824	0.111350478797048
0.27	-0.591420391779533	0.110243530602930
0.28	-0.564629497331706	0.109827185557078
0.29	-0.538167891124067	0.110291996506663
0.3	-0.511821301518868	0.111667475556799
0.31	-0.485366577962661	0.113900742390958
0.32	-0.458584065573857	0.116951342334185
0.33	-0.431259083358026	0.120847837890443
0.34	-0.403179761200280	0.125666745531072
0.35	-0.374140279296129	0.131451719003162
0.36	-0.343955541089181	0.138106800616257
0.37	-0.312487045790102	0.145332104548315
0.38	-0.279673199713318	0.152633732973702
0.39	-0.245553527990343	0.159406036311638
0.4	-0.210276897188337	0.165062800700327
0.41	-0.174088618826672	0.169166891480837
0.42	-0.137298143258050	0.171514373074126
0.43	-0.100235231428328	0.172161243661068
0.44	-0.0632057595573734	0.17138091121512
0.45	-0.0264577630337156	0.169577246717518
0.46	0.00983542438807805	0.167174218626936
0.47	0.0455733670152908	0.164519727829294
0.48	0.0807114088092359	0.161823438008422
0.49	0.115234736974239	0.159138423122600
0.5	0.149130980170683	0.156382855845665
0.51	0.182367568003945	0.153384321298428
0.52	0.214877764102798	0.149934293208386
0.53	0.246556654410428	0.145839446356402
0.54	0.277266102034168	0.140958007329602
0.55	0.306846169272771	0.135224473211033
0.56	0.335129921843601	0.128653927040626
0.57	0.361958858538102	0.121337878856574
0.58	0.387197262389996	0.113428799761107
0.59	0.41074514473823	0.105125035086014
0.6	0.432550559560375	0.096664507358318
0.61	0.452622285023502	0.0883273519720882
0.62	0.471042851018816	0.0804457093230535
0.63	0.487979833201893	0.0734117050523135
0.64	0.503691064610155	0.067663712166458
0.65	0.518518149274737	0.0636314078392553
0.66	0.532863471060809	0.0616316259967768
0.67	0.547149134532228	0.0617206440617221
0.68	0.56176129073776	0.0635971049036877
0.69	0.576988563955368	0.0666154722642256
0.7	0.592966997957554	0.0699081241622904
0.71	0.609644713838265	0.0725490404012835
0.72	0.626776888057582	0.0737069885719393
0.73	0.643956293792226	0.0727852009950503
0.74	0.660677744175087	0.0695245482813297
0.75	0.676427760247875	0.0640649504287306
0.76	0.690784893980086	0.0569434448432478
0.77	0.70351225136644	0.049026619747072
0.78	0.714622454879843	0.0413972576290004
0.79	0.724397007958675	0.0352143643429354
0.8	0.733347385925664	0.0315311910101838
0.81	0.742115092041313	0.0309250359169445
0.82	0.751323092507246	0.0330360025216928
0.83	0.761410383121218	0.0366044018237491
0.84	0.772499884479156	0.0400125420627124
0.85	0.784357655293816	0.0418099457372673
0.86	0.796487076191808	0.0411516256435846
0.87	0.80835875742355	0.038149613596676
0.88	0.819711248729088	0.0340235979208213
0.89	0.83079070041663	0.0309294085774148
0.9	0.842366096899617	0.031123085514301
0.91	0.855407869311235	0.0350259193112456
0.92	0.87049110633445	0.0401887281737820
0.93	0.887261849272287	0.0428197840246409
0.94	0.90453939593505	0.0402624814502336
0.95	0.921510855150795	0.0335990108616732
0.96	0.93958769721608	0.0298480887246115
0.97	0.96266941495585	0.0378402408786467
0.98	0.99251810298481	0.0476991755494799
0.99	1.02128692262074	0.0334548764833171

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -1.35901442477664 & 0.0168510227154592 \tabularnewline
0.02 & -1.33989947169227 & 0.0457925189203454 \tabularnewline
0.03 & -1.3071412179243 & 0.0668419310044435 \tabularnewline
0.04 & -1.26770661913780 & 0.073093051556618 \tabularnewline
0.05 & -1.22887374014216 & 0.0701354211358788 \tabularnewline
0.06 & -1.19417840899045 & 0.0652791411379298 \tabularnewline
0.07 & -1.16371524762485 & 0.0631673030849566 \tabularnewline
0.08 & -1.13599203775921 & 0.064866252083805 \tabularnewline
0.09 & -1.10939913498716 & 0.0689803333322596 \tabularnewline
0.1 & -1.08284942557190 & 0.073999945011683 \tabularnewline
0.11 & -1.05581442659854 & 0.0792480107097645 \tabularnewline
0.12 & -1.02812736688660 & 0.0844460472273213 \tabularnewline
0.13 & -0.999807952092137 & 0.0892753630163371 \tabularnewline
0.14 & -0.970971434015348 & 0.0934211521511224 \tabularnewline
0.15 & -0.94177661536392 & 0.0967943440909785 \tabularnewline
0.16 & -0.91237334176766 & 0.0996146948685932 \tabularnewline
0.17 & -0.882856113159579 & 0.102263279624769 \tabularnewline
0.18 & -0.853249820962074 & 0.105030439438299 \tabularnewline
0.19 & -0.8235371172841 & 0.107936795839404 \tabularnewline
0.2 & -0.793710465602731 & 0.110722318835054 \tabularnewline
0.21 & -0.763819012720155 & 0.112983558337394 \tabularnewline
0.22 & -0.733986427954249 & 0.114358985420805 \tabularnewline
0.23 & -0.70439271288185 & 0.114681218246476 \tabularnewline
0.24 & -0.675229656880838 & 0.114045060354662 \tabularnewline
0.25 & -0.646648872763076 & 0.112778248177228 \tabularnewline
0.26 & -0.618721354032824 & 0.111350478797048 \tabularnewline
0.27 & -0.591420391779533 & 0.110243530602930 \tabularnewline
0.28 & -0.564629497331706 & 0.109827185557078 \tabularnewline
0.29 & -0.538167891124067 & 0.110291996506663 \tabularnewline
0.3 & -0.511821301518868 & 0.111667475556799 \tabularnewline
0.31 & -0.485366577962661 & 0.113900742390958 \tabularnewline
0.32 & -0.458584065573857 & 0.116951342334185 \tabularnewline
0.33 & -0.431259083358026 & 0.120847837890443 \tabularnewline
0.34 & -0.403179761200280 & 0.125666745531072 \tabularnewline
0.35 & -0.374140279296129 & 0.131451719003162 \tabularnewline
0.36 & -0.343955541089181 & 0.138106800616257 \tabularnewline
0.37 & -0.312487045790102 & 0.145332104548315 \tabularnewline
0.38 & -0.279673199713318 & 0.152633732973702 \tabularnewline
0.39 & -0.245553527990343 & 0.159406036311638 \tabularnewline
0.4 & -0.210276897188337 & 0.165062800700327 \tabularnewline
0.41 & -0.174088618826672 & 0.169166891480837 \tabularnewline
0.42 & -0.137298143258050 & 0.171514373074126 \tabularnewline
0.43 & -0.100235231428328 & 0.172161243661068 \tabularnewline
0.44 & -0.0632057595573734 & 0.17138091121512 \tabularnewline
0.45 & -0.0264577630337156 & 0.169577246717518 \tabularnewline
0.46 & 0.00983542438807805 & 0.167174218626936 \tabularnewline
0.47 & 0.0455733670152908 & 0.164519727829294 \tabularnewline
0.48 & 0.0807114088092359 & 0.161823438008422 \tabularnewline
0.49 & 0.115234736974239 & 0.159138423122600 \tabularnewline
0.5 & 0.149130980170683 & 0.156382855845665 \tabularnewline
0.51 & 0.182367568003945 & 0.153384321298428 \tabularnewline
0.52 & 0.214877764102798 & 0.149934293208386 \tabularnewline
0.53 & 0.246556654410428 & 0.145839446356402 \tabularnewline
0.54 & 0.277266102034168 & 0.140958007329602 \tabularnewline
0.55 & 0.306846169272771 & 0.135224473211033 \tabularnewline
0.56 & 0.335129921843601 & 0.128653927040626 \tabularnewline
0.57 & 0.361958858538102 & 0.121337878856574 \tabularnewline
0.58 & 0.387197262389996 & 0.113428799761107 \tabularnewline
0.59 & 0.41074514473823 & 0.105125035086014 \tabularnewline
0.6 & 0.432550559560375 & 0.096664507358318 \tabularnewline
0.61 & 0.452622285023502 & 0.0883273519720882 \tabularnewline
0.62 & 0.471042851018816 & 0.0804457093230535 \tabularnewline
0.63 & 0.487979833201893 & 0.0734117050523135 \tabularnewline
0.64 & 0.503691064610155 & 0.067663712166458 \tabularnewline
0.65 & 0.518518149274737 & 0.0636314078392553 \tabularnewline
0.66 & 0.532863471060809 & 0.0616316259967768 \tabularnewline
0.67 & 0.547149134532228 & 0.0617206440617221 \tabularnewline
0.68 & 0.56176129073776 & 0.0635971049036877 \tabularnewline
0.69 & 0.576988563955368 & 0.0666154722642256 \tabularnewline
0.7 & 0.592966997957554 & 0.0699081241622904 \tabularnewline
0.71 & 0.609644713838265 & 0.0725490404012835 \tabularnewline
0.72 & 0.626776888057582 & 0.0737069885719393 \tabularnewline
0.73 & 0.643956293792226 & 0.0727852009950503 \tabularnewline
0.74 & 0.660677744175087 & 0.0695245482813297 \tabularnewline
0.75 & 0.676427760247875 & 0.0640649504287306 \tabularnewline
0.76 & 0.690784893980086 & 0.0569434448432478 \tabularnewline
0.77 & 0.70351225136644 & 0.049026619747072 \tabularnewline
0.78 & 0.714622454879843 & 0.0413972576290004 \tabularnewline
0.79 & 0.724397007958675 & 0.0352143643429354 \tabularnewline
0.8 & 0.733347385925664 & 0.0315311910101838 \tabularnewline
0.81 & 0.742115092041313 & 0.0309250359169445 \tabularnewline
0.82 & 0.751323092507246 & 0.0330360025216928 \tabularnewline
0.83 & 0.761410383121218 & 0.0366044018237491 \tabularnewline
0.84 & 0.772499884479156 & 0.0400125420627124 \tabularnewline
0.85 & 0.784357655293816 & 0.0418099457372673 \tabularnewline
0.86 & 0.796487076191808 & 0.0411516256435846 \tabularnewline
0.87 & 0.80835875742355 & 0.038149613596676 \tabularnewline
0.88 & 0.819711248729088 & 0.0340235979208213 \tabularnewline
0.89 & 0.83079070041663 & 0.0309294085774148 \tabularnewline
0.9 & 0.842366096899617 & 0.031123085514301 \tabularnewline
0.91 & 0.855407869311235 & 0.0350259193112456 \tabularnewline
0.92 & 0.87049110633445 & 0.0401887281737820 \tabularnewline
0.93 & 0.887261849272287 & 0.0428197840246409 \tabularnewline
0.94 & 0.90453939593505 & 0.0402624814502336 \tabularnewline
0.95 & 0.921510855150795 & 0.0335990108616732 \tabularnewline
0.96 & 0.93958769721608 & 0.0298480887246115 \tabularnewline
0.97 & 0.96266941495585 & 0.0378402408786467 \tabularnewline
0.98 & 0.99251810298481 & 0.0476991755494799 \tabularnewline
0.99 & 1.02128692262074 & 0.0334548764833171 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19814&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]-1.35901442477664[/C][C]0.0168510227154592[/C][/ROW]
[ROW][C]0.02[/C][C]-1.33989947169227[/C][C]0.0457925189203454[/C][/ROW]
[ROW][C]0.03[/C][C]-1.3071412179243[/C][C]0.0668419310044435[/C][/ROW]
[ROW][C]0.04[/C][C]-1.26770661913780[/C][C]0.073093051556618[/C][/ROW]
[ROW][C]0.05[/C][C]-1.22887374014216[/C][C]0.0701354211358788[/C][/ROW]
[ROW][C]0.06[/C][C]-1.19417840899045[/C][C]0.0652791411379298[/C][/ROW]
[ROW][C]0.07[/C][C]-1.16371524762485[/C][C]0.0631673030849566[/C][/ROW]
[ROW][C]0.08[/C][C]-1.13599203775921[/C][C]0.064866252083805[/C][/ROW]
[ROW][C]0.09[/C][C]-1.10939913498716[/C][C]0.0689803333322596[/C][/ROW]
[ROW][C]0.1[/C][C]-1.08284942557190[/C][C]0.073999945011683[/C][/ROW]
[ROW][C]0.11[/C][C]-1.05581442659854[/C][C]0.0792480107097645[/C][/ROW]
[ROW][C]0.12[/C][C]-1.02812736688660[/C][C]0.0844460472273213[/C][/ROW]
[ROW][C]0.13[/C][C]-0.999807952092137[/C][C]0.0892753630163371[/C][/ROW]
[ROW][C]0.14[/C][C]-0.970971434015348[/C][C]0.0934211521511224[/C][/ROW]
[ROW][C]0.15[/C][C]-0.94177661536392[/C][C]0.0967943440909785[/C][/ROW]
[ROW][C]0.16[/C][C]-0.91237334176766[/C][C]0.0996146948685932[/C][/ROW]
[ROW][C]0.17[/C][C]-0.882856113159579[/C][C]0.102263279624769[/C][/ROW]
[ROW][C]0.18[/C][C]-0.853249820962074[/C][C]0.105030439438299[/C][/ROW]
[ROW][C]0.19[/C][C]-0.8235371172841[/C][C]0.107936795839404[/C][/ROW]
[ROW][C]0.2[/C][C]-0.793710465602731[/C][C]0.110722318835054[/C][/ROW]
[ROW][C]0.21[/C][C]-0.763819012720155[/C][C]0.112983558337394[/C][/ROW]
[ROW][C]0.22[/C][C]-0.733986427954249[/C][C]0.114358985420805[/C][/ROW]
[ROW][C]0.23[/C][C]-0.70439271288185[/C][C]0.114681218246476[/C][/ROW]
[ROW][C]0.24[/C][C]-0.675229656880838[/C][C]0.114045060354662[/C][/ROW]
[ROW][C]0.25[/C][C]-0.646648872763076[/C][C]0.112778248177228[/C][/ROW]
[ROW][C]0.26[/C][C]-0.618721354032824[/C][C]0.111350478797048[/C][/ROW]
[ROW][C]0.27[/C][C]-0.591420391779533[/C][C]0.110243530602930[/C][/ROW]
[ROW][C]0.28[/C][C]-0.564629497331706[/C][C]0.109827185557078[/C][/ROW]
[ROW][C]0.29[/C][C]-0.538167891124067[/C][C]0.110291996506663[/C][/ROW]
[ROW][C]0.3[/C][C]-0.511821301518868[/C][C]0.111667475556799[/C][/ROW]
[ROW][C]0.31[/C][C]-0.485366577962661[/C][C]0.113900742390958[/C][/ROW]
[ROW][C]0.32[/C][C]-0.458584065573857[/C][C]0.116951342334185[/C][/ROW]
[ROW][C]0.33[/C][C]-0.431259083358026[/C][C]0.120847837890443[/C][/ROW]
[ROW][C]0.34[/C][C]-0.403179761200280[/C][C]0.125666745531072[/C][/ROW]
[ROW][C]0.35[/C][C]-0.374140279296129[/C][C]0.131451719003162[/C][/ROW]
[ROW][C]0.36[/C][C]-0.343955541089181[/C][C]0.138106800616257[/C][/ROW]
[ROW][C]0.37[/C][C]-0.312487045790102[/C][C]0.145332104548315[/C][/ROW]
[ROW][C]0.38[/C][C]-0.279673199713318[/C][C]0.152633732973702[/C][/ROW]
[ROW][C]0.39[/C][C]-0.245553527990343[/C][C]0.159406036311638[/C][/ROW]
[ROW][C]0.4[/C][C]-0.210276897188337[/C][C]0.165062800700327[/C][/ROW]
[ROW][C]0.41[/C][C]-0.174088618826672[/C][C]0.169166891480837[/C][/ROW]
[ROW][C]0.42[/C][C]-0.137298143258050[/C][C]0.171514373074126[/C][/ROW]
[ROW][C]0.43[/C][C]-0.100235231428328[/C][C]0.172161243661068[/C][/ROW]
[ROW][C]0.44[/C][C]-0.0632057595573734[/C][C]0.17138091121512[/C][/ROW]
[ROW][C]0.45[/C][C]-0.0264577630337156[/C][C]0.169577246717518[/C][/ROW]
[ROW][C]0.46[/C][C]0.00983542438807805[/C][C]0.167174218626936[/C][/ROW]
[ROW][C]0.47[/C][C]0.0455733670152908[/C][C]0.164519727829294[/C][/ROW]
[ROW][C]0.48[/C][C]0.0807114088092359[/C][C]0.161823438008422[/C][/ROW]
[ROW][C]0.49[/C][C]0.115234736974239[/C][C]0.159138423122600[/C][/ROW]
[ROW][C]0.5[/C][C]0.149130980170683[/C][C]0.156382855845665[/C][/ROW]
[ROW][C]0.51[/C][C]0.182367568003945[/C][C]0.153384321298428[/C][/ROW]
[ROW][C]0.52[/C][C]0.214877764102798[/C][C]0.149934293208386[/C][/ROW]
[ROW][C]0.53[/C][C]0.246556654410428[/C][C]0.145839446356402[/C][/ROW]
[ROW][C]0.54[/C][C]0.277266102034168[/C][C]0.140958007329602[/C][/ROW]
[ROW][C]0.55[/C][C]0.306846169272771[/C][C]0.135224473211033[/C][/ROW]
[ROW][C]0.56[/C][C]0.335129921843601[/C][C]0.128653927040626[/C][/ROW]
[ROW][C]0.57[/C][C]0.361958858538102[/C][C]0.121337878856574[/C][/ROW]
[ROW][C]0.58[/C][C]0.387197262389996[/C][C]0.113428799761107[/C][/ROW]
[ROW][C]0.59[/C][C]0.41074514473823[/C][C]0.105125035086014[/C][/ROW]
[ROW][C]0.6[/C][C]0.432550559560375[/C][C]0.096664507358318[/C][/ROW]
[ROW][C]0.61[/C][C]0.452622285023502[/C][C]0.0883273519720882[/C][/ROW]
[ROW][C]0.62[/C][C]0.471042851018816[/C][C]0.0804457093230535[/C][/ROW]
[ROW][C]0.63[/C][C]0.487979833201893[/C][C]0.0734117050523135[/C][/ROW]
[ROW][C]0.64[/C][C]0.503691064610155[/C][C]0.067663712166458[/C][/ROW]
[ROW][C]0.65[/C][C]0.518518149274737[/C][C]0.0636314078392553[/C][/ROW]
[ROW][C]0.66[/C][C]0.532863471060809[/C][C]0.0616316259967768[/C][/ROW]
[ROW][C]0.67[/C][C]0.547149134532228[/C][C]0.0617206440617221[/C][/ROW]
[ROW][C]0.68[/C][C]0.56176129073776[/C][C]0.0635971049036877[/C][/ROW]
[ROW][C]0.69[/C][C]0.576988563955368[/C][C]0.0666154722642256[/C][/ROW]
[ROW][C]0.7[/C][C]0.592966997957554[/C][C]0.0699081241622904[/C][/ROW]
[ROW][C]0.71[/C][C]0.609644713838265[/C][C]0.0725490404012835[/C][/ROW]
[ROW][C]0.72[/C][C]0.626776888057582[/C][C]0.0737069885719393[/C][/ROW]
[ROW][C]0.73[/C][C]0.643956293792226[/C][C]0.0727852009950503[/C][/ROW]
[ROW][C]0.74[/C][C]0.660677744175087[/C][C]0.0695245482813297[/C][/ROW]
[ROW][C]0.75[/C][C]0.676427760247875[/C][C]0.0640649504287306[/C][/ROW]
[ROW][C]0.76[/C][C]0.690784893980086[/C][C]0.0569434448432478[/C][/ROW]
[ROW][C]0.77[/C][C]0.70351225136644[/C][C]0.049026619747072[/C][/ROW]
[ROW][C]0.78[/C][C]0.714622454879843[/C][C]0.0413972576290004[/C][/ROW]
[ROW][C]0.79[/C][C]0.724397007958675[/C][C]0.0352143643429354[/C][/ROW]
[ROW][C]0.8[/C][C]0.733347385925664[/C][C]0.0315311910101838[/C][/ROW]
[ROW][C]0.81[/C][C]0.742115092041313[/C][C]0.0309250359169445[/C][/ROW]
[ROW][C]0.82[/C][C]0.751323092507246[/C][C]0.0330360025216928[/C][/ROW]
[ROW][C]0.83[/C][C]0.761410383121218[/C][C]0.0366044018237491[/C][/ROW]
[ROW][C]0.84[/C][C]0.772499884479156[/C][C]0.0400125420627124[/C][/ROW]
[ROW][C]0.85[/C][C]0.784357655293816[/C][C]0.0418099457372673[/C][/ROW]
[ROW][C]0.86[/C][C]0.796487076191808[/C][C]0.0411516256435846[/C][/ROW]
[ROW][C]0.87[/C][C]0.80835875742355[/C][C]0.038149613596676[/C][/ROW]
[ROW][C]0.88[/C][C]0.819711248729088[/C][C]0.0340235979208213[/C][/ROW]
[ROW][C]0.89[/C][C]0.83079070041663[/C][C]0.0309294085774148[/C][/ROW]
[ROW][C]0.9[/C][C]0.842366096899617[/C][C]0.031123085514301[/C][/ROW]
[ROW][C]0.91[/C][C]0.855407869311235[/C][C]0.0350259193112456[/C][/ROW]
[ROW][C]0.92[/C][C]0.87049110633445[/C][C]0.0401887281737820[/C][/ROW]
[ROW][C]0.93[/C][C]0.887261849272287[/C][C]0.0428197840246409[/C][/ROW]
[ROW][C]0.94[/C][C]0.90453939593505[/C][C]0.0402624814502336[/C][/ROW]
[ROW][C]0.95[/C][C]0.921510855150795[/C][C]0.0335990108616732[/C][/ROW]
[ROW][C]0.96[/C][C]0.93958769721608[/C][C]0.0298480887246115[/C][/ROW]
[ROW][C]0.97[/C][C]0.96266941495585[/C][C]0.0378402408786467[/C][/ROW]
[ROW][C]0.98[/C][C]0.99251810298481[/C][C]0.0476991755494799[/C][/ROW]
[ROW][C]0.99[/C][C]1.02128692262074[/C][C]0.0334548764833171[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19814&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19814&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	-1.35901442477664	0.0168510227154592
0.02	-1.33989947169227	0.0457925189203454
0.03	-1.3071412179243	0.0668419310044435
0.04	-1.26770661913780	0.073093051556618
0.05	-1.22887374014216	0.0701354211358788
0.06	-1.19417840899045	0.0652791411379298
0.07	-1.16371524762485	0.0631673030849566
0.08	-1.13599203775921	0.064866252083805
0.09	-1.10939913498716	0.0689803333322596
0.1	-1.08284942557190	0.073999945011683
0.11	-1.05581442659854	0.0792480107097645
0.12	-1.02812736688660	0.0844460472273213
0.13	-0.999807952092137	0.0892753630163371
0.14	-0.970971434015348	0.0934211521511224
0.15	-0.94177661536392	0.0967943440909785
0.16	-0.91237334176766	0.0996146948685932
0.17	-0.882856113159579	0.102263279624769
0.18	-0.853249820962074	0.105030439438299
0.19	-0.8235371172841	0.107936795839404
0.2	-0.793710465602731	0.110722318835054
0.21	-0.763819012720155	0.112983558337394
0.22	-0.733986427954249	0.114358985420805
0.23	-0.70439271288185	0.114681218246476
0.24	-0.675229656880838	0.114045060354662
0.25	-0.646648872763076	0.112778248177228
0.26	-0.618721354032824	0.111350478797048
0.27	-0.591420391779533	0.110243530602930
0.28	-0.564629497331706	0.109827185557078
0.29	-0.538167891124067	0.110291996506663
0.3	-0.511821301518868	0.111667475556799
0.31	-0.485366577962661	0.113900742390958
0.32	-0.458584065573857	0.116951342334185
0.33	-0.431259083358026	0.120847837890443
0.34	-0.403179761200280	0.125666745531072
0.35	-0.374140279296129	0.131451719003162
0.36	-0.343955541089181	0.138106800616257
0.37	-0.312487045790102	0.145332104548315
0.38	-0.279673199713318	0.152633732973702
0.39	-0.245553527990343	0.159406036311638
0.4	-0.210276897188337	0.165062800700327
0.41	-0.174088618826672	0.169166891480837
0.42	-0.137298143258050	0.171514373074126
0.43	-0.100235231428328	0.172161243661068
0.44	-0.0632057595573734	0.17138091121512
0.45	-0.0264577630337156	0.169577246717518
0.46	0.00983542438807805	0.167174218626936
0.47	0.0455733670152908	0.164519727829294
0.48	0.0807114088092359	0.161823438008422
0.49	0.115234736974239	0.159138423122600
0.5	0.149130980170683	0.156382855845665
0.51	0.182367568003945	0.153384321298428
0.52	0.214877764102798	0.149934293208386
0.53	0.246556654410428	0.145839446356402
0.54	0.277266102034168	0.140958007329602
0.55	0.306846169272771	0.135224473211033
0.56	0.335129921843601	0.128653927040626
0.57	0.361958858538102	0.121337878856574
0.58	0.387197262389996	0.113428799761107
0.59	0.41074514473823	0.105125035086014
0.6	0.432550559560375	0.096664507358318
0.61	0.452622285023502	0.0883273519720882
0.62	0.471042851018816	0.0804457093230535
0.63	0.487979833201893	0.0734117050523135
0.64	0.503691064610155	0.067663712166458
0.65	0.518518149274737	0.0636314078392553
0.66	0.532863471060809	0.0616316259967768
0.67	0.547149134532228	0.0617206440617221
0.68	0.56176129073776	0.0635971049036877
0.69	0.576988563955368	0.0666154722642256
0.7	0.592966997957554	0.0699081241622904
0.71	0.609644713838265	0.0725490404012835
0.72	0.626776888057582	0.0737069885719393
0.73	0.643956293792226	0.0727852009950503
0.74	0.660677744175087	0.0695245482813297
0.75	0.676427760247875	0.0640649504287306
0.76	0.690784893980086	0.0569434448432478
0.77	0.70351225136644	0.049026619747072
0.78	0.714622454879843	0.0413972576290004
0.79	0.724397007958675	0.0352143643429354
0.8	0.733347385925664	0.0315311910101838
0.81	0.742115092041313	0.0309250359169445
0.82	0.751323092507246	0.0330360025216928
0.83	0.761410383121218	0.0366044018237491
0.84	0.772499884479156	0.0400125420627124
0.85	0.784357655293816	0.0418099457372673
0.86	0.796487076191808	0.0411516256435846
0.87	0.80835875742355	0.038149613596676
0.88	0.819711248729088	0.0340235979208213
0.89	0.83079070041663	0.0309294085774148
0.9	0.842366096899617	0.031123085514301
0.91	0.855407869311235	0.0350259193112456
0.92	0.87049110633445	0.0401887281737820
0.93	0.887261849272287	0.0428197840246409
0.94	0.90453939593505	0.0402624814502336
0.95	0.921510855150795	0.0335990108616732
0.96	0.93958769721608	0.0298480887246115
0.97	0.96266941495585	0.0378402408786467
0.98	0.99251810298481	0.0476991755494799
0.99	1.02128692262074	0.0334548764833171

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 0 ; par2 = 36 ;

Parameters (R input):

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

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

x <- x-7.66470588235294
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