FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 20 Oct 2009 12:19:19 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/20/t1256062831dqjz7sx1m7wzee2.htm/, Retrieved Fri, 03 May 2024 03:22:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48941, Retrieved Fri, 03 May 2024 03:22:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsshwws3vr2opl6
Estimated Impact87

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD        [Harrell-Davis Quantiles] [] [2009-10-20 18:19:19] [4407d6264e55b051ec65750e6dca2820] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
200.1
172
136.1
182.6
208.7
142.3
188.8
143.9
149.7
196.9
231.5
219.2
220.7
244.2
182.5
229.8
238.1
206.5
249.3
181.8
218
246.4
214.3
242.3
220.7
204.5
180.7
233
236.5
239.4
208.7
209
247.2
284.3
245.8
249.1
251.4
251.2
207.2
228.3
254.3
217.9
244.4
233.2
212.6
239.5
335.5
248.8
264.6
275.4
180.7
256.1
247.4
227.8
248.1
153.7
225.5
274.4
400.3
301.8
345.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48941&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]3 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=48941&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48941&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01137.6237601425485.48925275191371
0.02140.0128935626355.22969982662266
0.03142.8387739918706.05482880134425
0.04145.9500786648737.82280809934906
0.05149.3741520884439.92219776529889
0.06153.13480045558411.8078886113632
0.07157.16378817667713.0961123765427
0.08161.30779520009213.5932055783067
0.09165.37930576892813.3084927132706
0.1169.21050405756712.4221978875602
0.11172.68999469353811.2153885818010
0.12175.7766661634819.99208305966238
0.13178.4934337515659.00867162302034
0.14180.9079252637588.42164261773657
0.15183.1083084403238.25496347604774
0.16185.1811578924438.41738501323006
0.17187.1956314000928.76018301677129
0.18189.1954305935279.1352940230958
0.19191.1978564767309.42781579737986
0.2193.1980356510589.56454306487847
0.21195.1760092726669.51305968682037
0.22197.1045863040119.27619792515844
0.23198.9563877376978.88387750674528
0.24200.7091298639748.38376540490703
0.25202.3487697587547.83077350206309
0.26203.8705884520927.27905881814819
0.27205.2785883043756.77511194751506
0.28206.5837347369966.35201427310652
0.29207.8016019831096.02872110550734
0.3208.9499209753565.8079990925269
0.31210.0464099826545.68071004644498
0.32211.1071270936015.62845788087044
0.33212.1454439884875.62988349022263
0.34213.1716213935875.66519922245172
0.35214.1928798723785.71768837714358
0.36215.213810365935.7761146629373
0.37216.2369564876945.83334044088531
0.38217.2634193356545.88657483551142
0.39218.2933760373075.93494981326823
0.4219.3264538224095.97794782779331
0.41220.361950538096.01548344678385
0.42221.3989306725686.0458379959152
0.43222.4362473505536.06687692364912
0.44223.4725441181636.07642102218176
0.45224.5062785843506.07199749319553
0.46225.5357890665826.05291865628899
0.47226.5594024306696.01898295165072
0.48227.5755627527945.97238926731899
0.49228.582950527655.91537655961719
0.5229.5805622559975.85172016328768
0.51230.5677289307975.78397787999028
0.52231.5440657906055.71467643755894
0.53232.5093605414265.64491836654281
0.54233.4634193314615.57417363456789
0.55234.4058967057225.50071901059667
0.56235.3361368918615.4217262648978
0.57236.2530499446945.33422256459937
0.58237.1550393543065.23437238468528
0.59238.0399897996505.11947209302449
0.6238.9053165099984.98669363400362
0.61239.7480721205924.83431170904173
0.62240.5651031282914.66152278541877
0.63241.3532456937814.46884674931227
0.64242.1095491004914.2580556304606
0.65242.8315144028454.03241409734776
0.66243.517335824743.79619163127118
0.67244.1661337960133.55514598869573
0.68244.7781717182473.31607328028678
0.69245.3550539501753.0863814420024
0.7245.8999098578832.87447988658192
0.71246.4175771195912.68925610914595
0.72246.9148050838712.54030947426255
0.73247.4005034240662.43814813677525
0.74247.8860595767842.39466189847748
0.75248.3857370928292.42285712318327
0.76248.9171429388282.53808012505158
0.77249.5017136698272.75572368164985
0.78250.1651216437433.09244122865994
0.79250.9374552007973.56295414588926
0.8251.8530056786024.17851261142766
0.81252.9495369325864.94392118671294
0.82254.2670624595855.85371426202204
0.83255.8464382934056.89033466922668
0.84257.728472566298.02444371817501
0.85259.9546374444189.22238118047211
0.86262.57060510562410.4590479834563
0.87265.63337130663711.7383550969825
0.88269.2213483621613.1138036933903
0.89273.44447239640314.6948461881805
0.9278.44882737551616.6195290984087
0.91284.40965688656918.9780082804114
0.92291.51152047149121.7026418723865
0.93299.92790890137924.4902134098135
0.94309.83068588003826.848150160098
0.95321.45768041968528.3789707598333
0.96335.19207519323029.3919110017836
0.97351.42195874305431.6046288636624
0.98369.78757570930537.3875954993663
0.99387.79912267303246.4073040321259

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 137.623760142548 & 5.48925275191371 \tabularnewline
0.02 & 140.012893562635 & 5.22969982662266 \tabularnewline
0.03 & 142.838773991870 & 6.05482880134425 \tabularnewline
0.04 & 145.950078664873 & 7.82280809934906 \tabularnewline
0.05 & 149.374152088443 & 9.92219776529889 \tabularnewline
0.06 & 153.134800455584 & 11.8078886113632 \tabularnewline
0.07 & 157.163788176677 & 13.0961123765427 \tabularnewline
0.08 & 161.307795200092 & 13.5932055783067 \tabularnewline
0.09 & 165.379305768928 & 13.3084927132706 \tabularnewline
0.1 & 169.210504057567 & 12.4221978875602 \tabularnewline
0.11 & 172.689994693538 & 11.2153885818010 \tabularnewline
0.12 & 175.776666163481 & 9.99208305966238 \tabularnewline
0.13 & 178.493433751565 & 9.00867162302034 \tabularnewline
0.14 & 180.907925263758 & 8.42164261773657 \tabularnewline
0.15 & 183.108308440323 & 8.25496347604774 \tabularnewline
0.16 & 185.181157892443 & 8.41738501323006 \tabularnewline
0.17 & 187.195631400092 & 8.76018301677129 \tabularnewline
0.18 & 189.195430593527 & 9.1352940230958 \tabularnewline
0.19 & 191.197856476730 & 9.42781579737986 \tabularnewline
0.2 & 193.198035651058 & 9.56454306487847 \tabularnewline
0.21 & 195.176009272666 & 9.51305968682037 \tabularnewline
0.22 & 197.104586304011 & 9.27619792515844 \tabularnewline
0.23 & 198.956387737697 & 8.88387750674528 \tabularnewline
0.24 & 200.709129863974 & 8.38376540490703 \tabularnewline
0.25 & 202.348769758754 & 7.83077350206309 \tabularnewline
0.26 & 203.870588452092 & 7.27905881814819 \tabularnewline
0.27 & 205.278588304375 & 6.77511194751506 \tabularnewline
0.28 & 206.583734736996 & 6.35201427310652 \tabularnewline
0.29 & 207.801601983109 & 6.02872110550734 \tabularnewline
0.3 & 208.949920975356 & 5.8079990925269 \tabularnewline
0.31 & 210.046409982654 & 5.68071004644498 \tabularnewline
0.32 & 211.107127093601 & 5.62845788087044 \tabularnewline
0.33 & 212.145443988487 & 5.62988349022263 \tabularnewline
0.34 & 213.171621393587 & 5.66519922245172 \tabularnewline
0.35 & 214.192879872378 & 5.71768837714358 \tabularnewline
0.36 & 215.21381036593 & 5.7761146629373 \tabularnewline
0.37 & 216.236956487694 & 5.83334044088531 \tabularnewline
0.38 & 217.263419335654 & 5.88657483551142 \tabularnewline
0.39 & 218.293376037307 & 5.93494981326823 \tabularnewline
0.4 & 219.326453822409 & 5.97794782779331 \tabularnewline
0.41 & 220.36195053809 & 6.01548344678385 \tabularnewline
0.42 & 221.398930672568 & 6.0458379959152 \tabularnewline
0.43 & 222.436247350553 & 6.06687692364912 \tabularnewline
0.44 & 223.472544118163 & 6.07642102218176 \tabularnewline
0.45 & 224.506278584350 & 6.07199749319553 \tabularnewline
0.46 & 225.535789066582 & 6.05291865628899 \tabularnewline
0.47 & 226.559402430669 & 6.01898295165072 \tabularnewline
0.48 & 227.575562752794 & 5.97238926731899 \tabularnewline
0.49 & 228.58295052765 & 5.91537655961719 \tabularnewline
0.5 & 229.580562255997 & 5.85172016328768 \tabularnewline
0.51 & 230.567728930797 & 5.78397787999028 \tabularnewline
0.52 & 231.544065790605 & 5.71467643755894 \tabularnewline
0.53 & 232.509360541426 & 5.64491836654281 \tabularnewline
0.54 & 233.463419331461 & 5.57417363456789 \tabularnewline
0.55 & 234.405896705722 & 5.50071901059667 \tabularnewline
0.56 & 235.336136891861 & 5.4217262648978 \tabularnewline
0.57 & 236.253049944694 & 5.33422256459937 \tabularnewline
0.58 & 237.155039354306 & 5.23437238468528 \tabularnewline
0.59 & 238.039989799650 & 5.11947209302449 \tabularnewline
0.6 & 238.905316509998 & 4.98669363400362 \tabularnewline
0.61 & 239.748072120592 & 4.83431170904173 \tabularnewline
0.62 & 240.565103128291 & 4.66152278541877 \tabularnewline
0.63 & 241.353245693781 & 4.46884674931227 \tabularnewline
0.64 & 242.109549100491 & 4.2580556304606 \tabularnewline
0.65 & 242.831514402845 & 4.03241409734776 \tabularnewline
0.66 & 243.51733582474 & 3.79619163127118 \tabularnewline
0.67 & 244.166133796013 & 3.55514598869573 \tabularnewline
0.68 & 244.778171718247 & 3.31607328028678 \tabularnewline
0.69 & 245.355053950175 & 3.0863814420024 \tabularnewline
0.7 & 245.899909857883 & 2.87447988658192 \tabularnewline
0.71 & 246.417577119591 & 2.68925610914595 \tabularnewline
0.72 & 246.914805083871 & 2.54030947426255 \tabularnewline
0.73 & 247.400503424066 & 2.43814813677525 \tabularnewline
0.74 & 247.886059576784 & 2.39466189847748 \tabularnewline
0.75 & 248.385737092829 & 2.42285712318327 \tabularnewline
0.76 & 248.917142938828 & 2.53808012505158 \tabularnewline
0.77 & 249.501713669827 & 2.75572368164985 \tabularnewline
0.78 & 250.165121643743 & 3.09244122865994 \tabularnewline
0.79 & 250.937455200797 & 3.56295414588926 \tabularnewline
0.8 & 251.853005678602 & 4.17851261142766 \tabularnewline
0.81 & 252.949536932586 & 4.94392118671294 \tabularnewline
0.82 & 254.267062459585 & 5.85371426202204 \tabularnewline
0.83 & 255.846438293405 & 6.89033466922668 \tabularnewline
0.84 & 257.72847256629 & 8.02444371817501 \tabularnewline
0.85 & 259.954637444418 & 9.22238118047211 \tabularnewline
0.86 & 262.570605105624 & 10.4590479834563 \tabularnewline
0.87 & 265.633371306637 & 11.7383550969825 \tabularnewline
0.88 & 269.22134836216 & 13.1138036933903 \tabularnewline
0.89 & 273.444472396403 & 14.6948461881805 \tabularnewline
0.9 & 278.448827375516 & 16.6195290984087 \tabularnewline
0.91 & 284.409656886569 & 18.9780082804114 \tabularnewline
0.92 & 291.511520471491 & 21.7026418723865 \tabularnewline
0.93 & 299.927908901379 & 24.4902134098135 \tabularnewline
0.94 & 309.830685880038 & 26.848150160098 \tabularnewline
0.95 & 321.457680419685 & 28.3789707598333 \tabularnewline
0.96 & 335.192075193230 & 29.3919110017836 \tabularnewline
0.97 & 351.421958743054 & 31.6046288636624 \tabularnewline
0.98 & 369.787575709305 & 37.3875954993663 \tabularnewline
0.99 & 387.799122673032 & 46.4073040321259 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48941&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]137.623760142548[/C][C]5.48925275191371[/C][/ROW]
[ROW][C]0.02[/C][C]140.012893562635[/C][C]5.22969982662266[/C][/ROW]
[ROW][C]0.03[/C][C]142.838773991870[/C][C]6.05482880134425[/C][/ROW]
[ROW][C]0.04[/C][C]145.950078664873[/C][C]7.82280809934906[/C][/ROW]
[ROW][C]0.05[/C][C]149.374152088443[/C][C]9.92219776529889[/C][/ROW]
[ROW][C]0.06[/C][C]153.134800455584[/C][C]11.8078886113632[/C][/ROW]
[ROW][C]0.07[/C][C]157.163788176677[/C][C]13.0961123765427[/C][/ROW]
[ROW][C]0.08[/C][C]161.307795200092[/C][C]13.5932055783067[/C][/ROW]
[ROW][C]0.09[/C][C]165.379305768928[/C][C]13.3084927132706[/C][/ROW]
[ROW][C]0.1[/C][C]169.210504057567[/C][C]12.4221978875602[/C][/ROW]
[ROW][C]0.11[/C][C]172.689994693538[/C][C]11.2153885818010[/C][/ROW]
[ROW][C]0.12[/C][C]175.776666163481[/C][C]9.99208305966238[/C][/ROW]
[ROW][C]0.13[/C][C]178.493433751565[/C][C]9.00867162302034[/C][/ROW]
[ROW][C]0.14[/C][C]180.907925263758[/C][C]8.42164261773657[/C][/ROW]
[ROW][C]0.15[/C][C]183.108308440323[/C][C]8.25496347604774[/C][/ROW]
[ROW][C]0.16[/C][C]185.181157892443[/C][C]8.41738501323006[/C][/ROW]
[ROW][C]0.17[/C][C]187.195631400092[/C][C]8.76018301677129[/C][/ROW]
[ROW][C]0.18[/C][C]189.195430593527[/C][C]9.1352940230958[/C][/ROW]
[ROW][C]0.19[/C][C]191.197856476730[/C][C]9.42781579737986[/C][/ROW]
[ROW][C]0.2[/C][C]193.198035651058[/C][C]9.56454306487847[/C][/ROW]
[ROW][C]0.21[/C][C]195.176009272666[/C][C]9.51305968682037[/C][/ROW]
[ROW][C]0.22[/C][C]197.104586304011[/C][C]9.27619792515844[/C][/ROW]
[ROW][C]0.23[/C][C]198.956387737697[/C][C]8.88387750674528[/C][/ROW]
[ROW][C]0.24[/C][C]200.709129863974[/C][C]8.38376540490703[/C][/ROW]
[ROW][C]0.25[/C][C]202.348769758754[/C][C]7.83077350206309[/C][/ROW]
[ROW][C]0.26[/C][C]203.870588452092[/C][C]7.27905881814819[/C][/ROW]
[ROW][C]0.27[/C][C]205.278588304375[/C][C]6.77511194751506[/C][/ROW]
[ROW][C]0.28[/C][C]206.583734736996[/C][C]6.35201427310652[/C][/ROW]
[ROW][C]0.29[/C][C]207.801601983109[/C][C]6.02872110550734[/C][/ROW]
[ROW][C]0.3[/C][C]208.949920975356[/C][C]5.8079990925269[/C][/ROW]
[ROW][C]0.31[/C][C]210.046409982654[/C][C]5.68071004644498[/C][/ROW]
[ROW][C]0.32[/C][C]211.107127093601[/C][C]5.62845788087044[/C][/ROW]
[ROW][C]0.33[/C][C]212.145443988487[/C][C]5.62988349022263[/C][/ROW]
[ROW][C]0.34[/C][C]213.171621393587[/C][C]5.66519922245172[/C][/ROW]
[ROW][C]0.35[/C][C]214.192879872378[/C][C]5.71768837714358[/C][/ROW]
[ROW][C]0.36[/C][C]215.21381036593[/C][C]5.7761146629373[/C][/ROW]
[ROW][C]0.37[/C][C]216.236956487694[/C][C]5.83334044088531[/C][/ROW]
[ROW][C]0.38[/C][C]217.263419335654[/C][C]5.88657483551142[/C][/ROW]
[ROW][C]0.39[/C][C]218.293376037307[/C][C]5.93494981326823[/C][/ROW]
[ROW][C]0.4[/C][C]219.326453822409[/C][C]5.97794782779331[/C][/ROW]
[ROW][C]0.41[/C][C]220.36195053809[/C][C]6.01548344678385[/C][/ROW]
[ROW][C]0.42[/C][C]221.398930672568[/C][C]6.0458379959152[/C][/ROW]
[ROW][C]0.43[/C][C]222.436247350553[/C][C]6.06687692364912[/C][/ROW]
[ROW][C]0.44[/C][C]223.472544118163[/C][C]6.07642102218176[/C][/ROW]
[ROW][C]0.45[/C][C]224.506278584350[/C][C]6.07199749319553[/C][/ROW]
[ROW][C]0.46[/C][C]225.535789066582[/C][C]6.05291865628899[/C][/ROW]
[ROW][C]0.47[/C][C]226.559402430669[/C][C]6.01898295165072[/C][/ROW]
[ROW][C]0.48[/C][C]227.575562752794[/C][C]5.97238926731899[/C][/ROW]
[ROW][C]0.49[/C][C]228.58295052765[/C][C]5.91537655961719[/C][/ROW]
[ROW][C]0.5[/C][C]229.580562255997[/C][C]5.85172016328768[/C][/ROW]
[ROW][C]0.51[/C][C]230.567728930797[/C][C]5.78397787999028[/C][/ROW]
[ROW][C]0.52[/C][C]231.544065790605[/C][C]5.71467643755894[/C][/ROW]
[ROW][C]0.53[/C][C]232.509360541426[/C][C]5.64491836654281[/C][/ROW]
[ROW][C]0.54[/C][C]233.463419331461[/C][C]5.57417363456789[/C][/ROW]
[ROW][C]0.55[/C][C]234.405896705722[/C][C]5.50071901059667[/C][/ROW]
[ROW][C]0.56[/C][C]235.336136891861[/C][C]5.4217262648978[/C][/ROW]
[ROW][C]0.57[/C][C]236.253049944694[/C][C]5.33422256459937[/C][/ROW]
[ROW][C]0.58[/C][C]237.155039354306[/C][C]5.23437238468528[/C][/ROW]
[ROW][C]0.59[/C][C]238.039989799650[/C][C]5.11947209302449[/C][/ROW]
[ROW][C]0.6[/C][C]238.905316509998[/C][C]4.98669363400362[/C][/ROW]
[ROW][C]0.61[/C][C]239.748072120592[/C][C]4.83431170904173[/C][/ROW]
[ROW][C]0.62[/C][C]240.565103128291[/C][C]4.66152278541877[/C][/ROW]
[ROW][C]0.63[/C][C]241.353245693781[/C][C]4.46884674931227[/C][/ROW]
[ROW][C]0.64[/C][C]242.109549100491[/C][C]4.2580556304606[/C][/ROW]
[ROW][C]0.65[/C][C]242.831514402845[/C][C]4.03241409734776[/C][/ROW]
[ROW][C]0.66[/C][C]243.51733582474[/C][C]3.79619163127118[/C][/ROW]
[ROW][C]0.67[/C][C]244.166133796013[/C][C]3.55514598869573[/C][/ROW]
[ROW][C]0.68[/C][C]244.778171718247[/C][C]3.31607328028678[/C][/ROW]
[ROW][C]0.69[/C][C]245.355053950175[/C][C]3.0863814420024[/C][/ROW]
[ROW][C]0.7[/C][C]245.899909857883[/C][C]2.87447988658192[/C][/ROW]
[ROW][C]0.71[/C][C]246.417577119591[/C][C]2.68925610914595[/C][/ROW]
[ROW][C]0.72[/C][C]246.914805083871[/C][C]2.54030947426255[/C][/ROW]
[ROW][C]0.73[/C][C]247.400503424066[/C][C]2.43814813677525[/C][/ROW]
[ROW][C]0.74[/C][C]247.886059576784[/C][C]2.39466189847748[/C][/ROW]
[ROW][C]0.75[/C][C]248.385737092829[/C][C]2.42285712318327[/C][/ROW]
[ROW][C]0.76[/C][C]248.917142938828[/C][C]2.53808012505158[/C][/ROW]
[ROW][C]0.77[/C][C]249.501713669827[/C][C]2.75572368164985[/C][/ROW]
[ROW][C]0.78[/C][C]250.165121643743[/C][C]3.09244122865994[/C][/ROW]
[ROW][C]0.79[/C][C]250.937455200797[/C][C]3.56295414588926[/C][/ROW]
[ROW][C]0.8[/C][C]251.853005678602[/C][C]4.17851261142766[/C][/ROW]
[ROW][C]0.81[/C][C]252.949536932586[/C][C]4.94392118671294[/C][/ROW]
[ROW][C]0.82[/C][C]254.267062459585[/C][C]5.85371426202204[/C][/ROW]
[ROW][C]0.83[/C][C]255.846438293405[/C][C]6.89033466922668[/C][/ROW]
[ROW][C]0.84[/C][C]257.72847256629[/C][C]8.02444371817501[/C][/ROW]
[ROW][C]0.85[/C][C]259.954637444418[/C][C]9.22238118047211[/C][/ROW]
[ROW][C]0.86[/C][C]262.570605105624[/C][C]10.4590479834563[/C][/ROW]
[ROW][C]0.87[/C][C]265.633371306637[/C][C]11.7383550969825[/C][/ROW]
[ROW][C]0.88[/C][C]269.22134836216[/C][C]13.1138036933903[/C][/ROW]
[ROW][C]0.89[/C][C]273.444472396403[/C][C]14.6948461881805[/C][/ROW]
[ROW][C]0.9[/C][C]278.448827375516[/C][C]16.6195290984087[/C][/ROW]
[ROW][C]0.91[/C][C]284.409656886569[/C][C]18.9780082804114[/C][/ROW]
[ROW][C]0.92[/C][C]291.511520471491[/C][C]21.7026418723865[/C][/ROW]
[ROW][C]0.93[/C][C]299.927908901379[/C][C]24.4902134098135[/C][/ROW]
[ROW][C]0.94[/C][C]309.830685880038[/C][C]26.848150160098[/C][/ROW]
[ROW][C]0.95[/C][C]321.457680419685[/C][C]28.3789707598333[/C][/ROW]
[ROW][C]0.96[/C][C]335.192075193230[/C][C]29.3919110017836[/C][/ROW]
[ROW][C]0.97[/C][C]351.421958743054[/C][C]31.6046288636624[/C][/ROW]
[ROW][C]0.98[/C][C]369.787575709305[/C][C]37.3875954993663[/C][/ROW]
[ROW][C]0.99[/C][C]387.799122673032[/C][C]46.4073040321259[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48941&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48941&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01137.6237601425485.48925275191371
0.02140.0128935626355.22969982662266
0.03142.8387739918706.05482880134425
0.04145.9500786648737.82280809934906
0.05149.3741520884439.92219776529889
0.06153.13480045558411.8078886113632
0.07157.16378817667713.0961123765427
0.08161.30779520009213.5932055783067
0.09165.37930576892813.3084927132706
0.1169.21050405756712.4221978875602
0.11172.68999469353811.2153885818010
0.12175.7766661634819.99208305966238
0.13178.4934337515659.00867162302034
0.14180.9079252637588.42164261773657
0.15183.1083084403238.25496347604774
0.16185.1811578924438.41738501323006
0.17187.1956314000928.76018301677129
0.18189.1954305935279.1352940230958
0.19191.1978564767309.42781579737986
0.2193.1980356510589.56454306487847
0.21195.1760092726669.51305968682037
0.22197.1045863040119.27619792515844
0.23198.9563877376978.88387750674528
0.24200.7091298639748.38376540490703
0.25202.3487697587547.83077350206309
0.26203.8705884520927.27905881814819
0.27205.2785883043756.77511194751506
0.28206.5837347369966.35201427310652
0.29207.8016019831096.02872110550734
0.3208.9499209753565.8079990925269
0.31210.0464099826545.68071004644498
0.32211.1071270936015.62845788087044
0.33212.1454439884875.62988349022263
0.34213.1716213935875.66519922245172
0.35214.1928798723785.71768837714358
0.36215.213810365935.7761146629373
0.37216.2369564876945.83334044088531
0.38217.2634193356545.88657483551142
0.39218.2933760373075.93494981326823
0.4219.3264538224095.97794782779331
0.41220.361950538096.01548344678385
0.42221.3989306725686.0458379959152
0.43222.4362473505536.06687692364912
0.44223.4725441181636.07642102218176
0.45224.5062785843506.07199749319553
0.46225.5357890665826.05291865628899
0.47226.5594024306696.01898295165072
0.48227.5755627527945.97238926731899
0.49228.582950527655.91537655961719
0.5229.5805622559975.85172016328768
0.51230.5677289307975.78397787999028
0.52231.5440657906055.71467643755894
0.53232.5093605414265.64491836654281
0.54233.4634193314615.57417363456789
0.55234.4058967057225.50071901059667
0.56235.3361368918615.4217262648978
0.57236.2530499446945.33422256459937
0.58237.1550393543065.23437238468528
0.59238.0399897996505.11947209302449
0.6238.9053165099984.98669363400362
0.61239.7480721205924.83431170904173
0.62240.5651031282914.66152278541877
0.63241.3532456937814.46884674931227
0.64242.1095491004914.2580556304606
0.65242.8315144028454.03241409734776
0.66243.517335824743.79619163127118
0.67244.1661337960133.55514598869573
0.68244.7781717182473.31607328028678
0.69245.3550539501753.0863814420024
0.7245.8999098578832.87447988658192
0.71246.4175771195912.68925610914595
0.72246.9148050838712.54030947426255
0.73247.4005034240662.43814813677525
0.74247.8860595767842.39466189847748
0.75248.3857370928292.42285712318327
0.76248.9171429388282.53808012505158
0.77249.5017136698272.75572368164985
0.78250.1651216437433.09244122865994
0.79250.9374552007973.56295414588926
0.8251.8530056786024.17851261142766
0.81252.9495369325864.94392118671294
0.82254.2670624595855.85371426202204
0.83255.8464382934056.89033466922668
0.84257.728472566298.02444371817501
0.85259.9546374444189.22238118047211
0.86262.57060510562410.4590479834563
0.87265.63337130663711.7383550969825
0.88269.2213483621613.1138036933903
0.89273.44447239640314.6948461881805
0.9278.44882737551616.6195290984087
0.91284.40965688656918.9780082804114
0.92291.51152047149121.7026418723865
0.93299.92790890137924.4902134098135
0.94309.83068588003826.848150160098
0.95321.45768041968528.3789707598333
0.96335.19207519323029.3919110017836
0.97351.42195874305431.6046288636624
0.98369.78757570930537.3875954993663
0.99387.79912267303246.4073040321259


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')