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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 16 Oct 2009 07:51:30 -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/16/t1255701261axol2bh3etkyj9z.htm/, Retrieved Fri, 07 Oct 2022 06:51:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47016, Retrieved Fri, 07 Oct 2022 06:51:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact146
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [percentielen eige...] [2009-10-16 13:51:30] [4c49eeca41cf2bf23e101541a1a2b4ce] [Current]
-  M D    [Harrell-Davis Quantiles] [] [2010-03-10 13:58:17] [54d7c1651a5ac34c1c0063b588e82823]
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Dataseries X:
203.7
173.8
167.1
151.8
144.5
128.4
121.6
124.9
122.7
148.1
176.9
234.6
254.6
279.7
275.8
283
295.4
297.6
276.8
250.1
239.1
258.9
276.1
264.1
265.5
287.7
285.1
304.5
301.5
274.2
258.6
253.9
269.6
266.9
269.6
257.9
258.2
254.7
237.2
267.2
228.8
196.3
194.8
186.6
176.7
162.1
154.9
150.1
150.5
143.6
143.8
141.5
147.9
151.4
144.6
140.4
139.5
138.1
136.7
130
128.5
130.4
125.7
121.7
129.9
129.6
128.2
119.7
112.2
105.6
101.2
94.9
95.1
93.1
91.4
89.8
85.9
89.7
91.6
88.6
86.9
86.4
82.2
81.5
81.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47016&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47016&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47016&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0181.50482868746450.768738968666927
0.0282.20795807293531.59339839484787
0.0383.2373501079312.20798635210164
0.0484.42138074899652.41006338576368
0.0585.59784140937022.3529286166553
0.0686.68431242151722.27038827105725
0.0787.67789574535942.28838659357672
0.0888.61959885757832.43768145678692
0.0989.56492086165182.73944250283229
0.190.5725939049473.23513268068559
0.1191.70307483678153.96262270735711
0.1293.01659949472974.92833467162145
0.1394.56678320768476.09272972308077
0.1496.39101265816927.36946173535821
0.1598.50101739525828.6367166073473
0.16100.8769665514089.75652713325214
0.17103.46728230952110.6019636248214
0.18106.19467834804111.0818314997907
0.19108.96716492819211.1584462453644
0.2111.69142310681510.8516991920881
0.21114.28546555371310.2311169892414
0.22116.6879857484389.39775729705507
0.23118.8629885827508.46286754342213
0.24120.7996938757297.5291280680187
0.25122.5088134449596.67849196568477
0.26124.0168291917135.96648872856494
0.27125.3598276128255.42403488338603
0.28126.5779758828185.06079024084789
0.29127.7111404073434.8706779753656
0.3128.7956864083434.83360084736722
0.31129.8622682017994.91957461578324
0.32130.9344069077535.09049572441676
0.33132.0277567600255.30535633408137
0.34133.1500689104145.52419583777908
0.35134.3018954965815.71320536810974
0.36135.4780187538655.84919157234062
0.37136.6694733263555.9205244091708
0.38137.8659124927765.92845339763839
0.39139.0580030401985.88711221759962
0.4140.2395445309725.8195164109245
0.41141.4090893077665.75616268624721
0.42142.5709573140865.7302751938174
0.43143.7356534340105.77604195915356
0.44144.9197716156855.92550515600986
0.45146.1454962917866.2063339955857
0.46147.4397963821756.64212508325764
0.47148.8333748407427.24793898170747
0.48150.3594149630898.03128711361764
0.49152.0521714433168.99063730606502
0.5153.94548895324910.1156668042144
0.51156.07137409934711.3877195672898
0.52158.45876707208612.7843863672749
0.53161.13262929816214.2794284350537
0.54164.11337335357915.8475909397417
0.55167.41652952036717.4641243200333
0.56171.05241443817619.1052675277309
0.57175.0254991111820.7454453789757
0.58179.33321474145422.3505738287375
0.59183.96410211183723.8750592016289
0.6188.89547414196825.2590291835074
0.61194.09104865265426.4281514549247
0.62199.49922270522527.2999120533501
0.63205.05271376533327.7936971794538
0.64210.67014163614227.8423049807978
0.65216.25978718035127.4042291940206
0.66221.72531952063326.4735734353964
0.67226.97284960480525.0826381383056
0.68231.91835922746723.3021490436609
0.69236.49444522143521.2328876573926
0.7240.65542228310618.9944063927182
0.71244.38010184448916.7128728284082
0.72247.67193350642914.5077644024656
0.73250.55658365954212.4809714147521
0.74253.07737702834210.7086443197860
0.75255.2893072309159.23678687352765
0.76257.2525069897418.0778958816712
0.77259.0261262868247.21301704697212
0.78260.6634616436586.59736019590192
0.79262.208895636386.17234298862234
0.8263.696783160165.87889787284578
0.81265.1519781602215.66927864907373
0.82266.5914023429655.51001869547391
0.83268.0260566890305.37878687375065
0.84269.4631713620045.26174631653253
0.85270.9085898360065.15015342796546
0.86272.3696775125835.0434954885145
0.87273.8588140982684.95578538535881
0.88275.3969702268604.9159353993647
0.89277.0163936109064.9600301665748
0.9278.7613695869355.11574155667452
0.91280.6860925574015.39031018888826
0.92282.8481145750435.76742122175257
0.93285.2948202852806.19532545043501
0.94288.0418082439606.55837630215574
0.95291.0498218940386.66415148606375
0.96294.2177344801076.3223524467174
0.97297.4033714520535.49853283352308
0.98300.4332642461174.38655927065212
0.99302.9976293025333.38138670026397

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 81.5048286874645 & 0.768738968666927 \tabularnewline
0.02 & 82.2079580729353 & 1.59339839484787 \tabularnewline
0.03 & 83.237350107931 & 2.20798635210164 \tabularnewline
0.04 & 84.4213807489965 & 2.41006338576368 \tabularnewline
0.05 & 85.5978414093702 & 2.3529286166553 \tabularnewline
0.06 & 86.6843124215172 & 2.27038827105725 \tabularnewline
0.07 & 87.6778957453594 & 2.28838659357672 \tabularnewline
0.08 & 88.6195988575783 & 2.43768145678692 \tabularnewline
0.09 & 89.5649208616518 & 2.73944250283229 \tabularnewline
0.1 & 90.572593904947 & 3.23513268068559 \tabularnewline
0.11 & 91.7030748367815 & 3.96262270735711 \tabularnewline
0.12 & 93.0165994947297 & 4.92833467162145 \tabularnewline
0.13 & 94.5667832076847 & 6.09272972308077 \tabularnewline
0.14 & 96.3910126581692 & 7.36946173535821 \tabularnewline
0.15 & 98.5010173952582 & 8.6367166073473 \tabularnewline
0.16 & 100.876966551408 & 9.75652713325214 \tabularnewline
0.17 & 103.467282309521 & 10.6019636248214 \tabularnewline
0.18 & 106.194678348041 & 11.0818314997907 \tabularnewline
0.19 & 108.967164928192 & 11.1584462453644 \tabularnewline
0.2 & 111.691423106815 & 10.8516991920881 \tabularnewline
0.21 & 114.285465553713 & 10.2311169892414 \tabularnewline
0.22 & 116.687985748438 & 9.39775729705507 \tabularnewline
0.23 & 118.862988582750 & 8.46286754342213 \tabularnewline
0.24 & 120.799693875729 & 7.5291280680187 \tabularnewline
0.25 & 122.508813444959 & 6.67849196568477 \tabularnewline
0.26 & 124.016829191713 & 5.96648872856494 \tabularnewline
0.27 & 125.359827612825 & 5.42403488338603 \tabularnewline
0.28 & 126.577975882818 & 5.06079024084789 \tabularnewline
0.29 & 127.711140407343 & 4.8706779753656 \tabularnewline
0.3 & 128.795686408343 & 4.83360084736722 \tabularnewline
0.31 & 129.862268201799 & 4.91957461578324 \tabularnewline
0.32 & 130.934406907753 & 5.09049572441676 \tabularnewline
0.33 & 132.027756760025 & 5.30535633408137 \tabularnewline
0.34 & 133.150068910414 & 5.52419583777908 \tabularnewline
0.35 & 134.301895496581 & 5.71320536810974 \tabularnewline
0.36 & 135.478018753865 & 5.84919157234062 \tabularnewline
0.37 & 136.669473326355 & 5.9205244091708 \tabularnewline
0.38 & 137.865912492776 & 5.92845339763839 \tabularnewline
0.39 & 139.058003040198 & 5.88711221759962 \tabularnewline
0.4 & 140.239544530972 & 5.8195164109245 \tabularnewline
0.41 & 141.409089307766 & 5.75616268624721 \tabularnewline
0.42 & 142.570957314086 & 5.7302751938174 \tabularnewline
0.43 & 143.735653434010 & 5.77604195915356 \tabularnewline
0.44 & 144.919771615685 & 5.92550515600986 \tabularnewline
0.45 & 146.145496291786 & 6.2063339955857 \tabularnewline
0.46 & 147.439796382175 & 6.64212508325764 \tabularnewline
0.47 & 148.833374840742 & 7.24793898170747 \tabularnewline
0.48 & 150.359414963089 & 8.03128711361764 \tabularnewline
0.49 & 152.052171443316 & 8.99063730606502 \tabularnewline
0.5 & 153.945488953249 & 10.1156668042144 \tabularnewline
0.51 & 156.071374099347 & 11.3877195672898 \tabularnewline
0.52 & 158.458767072086 & 12.7843863672749 \tabularnewline
0.53 & 161.132629298162 & 14.2794284350537 \tabularnewline
0.54 & 164.113373353579 & 15.8475909397417 \tabularnewline
0.55 & 167.416529520367 & 17.4641243200333 \tabularnewline
0.56 & 171.052414438176 & 19.1052675277309 \tabularnewline
0.57 & 175.02549911118 & 20.7454453789757 \tabularnewline
0.58 & 179.333214741454 & 22.3505738287375 \tabularnewline
0.59 & 183.964102111837 & 23.8750592016289 \tabularnewline
0.6 & 188.895474141968 & 25.2590291835074 \tabularnewline
0.61 & 194.091048652654 & 26.4281514549247 \tabularnewline
0.62 & 199.499222705225 & 27.2999120533501 \tabularnewline
0.63 & 205.052713765333 & 27.7936971794538 \tabularnewline
0.64 & 210.670141636142 & 27.8423049807978 \tabularnewline
0.65 & 216.259787180351 & 27.4042291940206 \tabularnewline
0.66 & 221.725319520633 & 26.4735734353964 \tabularnewline
0.67 & 226.972849604805 & 25.0826381383056 \tabularnewline
0.68 & 231.918359227467 & 23.3021490436609 \tabularnewline
0.69 & 236.494445221435 & 21.2328876573926 \tabularnewline
0.7 & 240.655422283106 & 18.9944063927182 \tabularnewline
0.71 & 244.380101844489 & 16.7128728284082 \tabularnewline
0.72 & 247.671933506429 & 14.5077644024656 \tabularnewline
0.73 & 250.556583659542 & 12.4809714147521 \tabularnewline
0.74 & 253.077377028342 & 10.7086443197860 \tabularnewline
0.75 & 255.289307230915 & 9.23678687352765 \tabularnewline
0.76 & 257.252506989741 & 8.0778958816712 \tabularnewline
0.77 & 259.026126286824 & 7.21301704697212 \tabularnewline
0.78 & 260.663461643658 & 6.59736019590192 \tabularnewline
0.79 & 262.20889563638 & 6.17234298862234 \tabularnewline
0.8 & 263.69678316016 & 5.87889787284578 \tabularnewline
0.81 & 265.151978160221 & 5.66927864907373 \tabularnewline
0.82 & 266.591402342965 & 5.51001869547391 \tabularnewline
0.83 & 268.026056689030 & 5.37878687375065 \tabularnewline
0.84 & 269.463171362004 & 5.26174631653253 \tabularnewline
0.85 & 270.908589836006 & 5.15015342796546 \tabularnewline
0.86 & 272.369677512583 & 5.0434954885145 \tabularnewline
0.87 & 273.858814098268 & 4.95578538535881 \tabularnewline
0.88 & 275.396970226860 & 4.9159353993647 \tabularnewline
0.89 & 277.016393610906 & 4.9600301665748 \tabularnewline
0.9 & 278.761369586935 & 5.11574155667452 \tabularnewline
0.91 & 280.686092557401 & 5.39031018888826 \tabularnewline
0.92 & 282.848114575043 & 5.76742122175257 \tabularnewline
0.93 & 285.294820285280 & 6.19532545043501 \tabularnewline
0.94 & 288.041808243960 & 6.55837630215574 \tabularnewline
0.95 & 291.049821894038 & 6.66415148606375 \tabularnewline
0.96 & 294.217734480107 & 6.3223524467174 \tabularnewline
0.97 & 297.403371452053 & 5.49853283352308 \tabularnewline
0.98 & 300.433264246117 & 4.38655927065212 \tabularnewline
0.99 & 302.997629302533 & 3.38138670026397 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47016&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]81.5048286874645[/C][C]0.768738968666927[/C][/ROW]
[ROW][C]0.02[/C][C]82.2079580729353[/C][C]1.59339839484787[/C][/ROW]
[ROW][C]0.03[/C][C]83.237350107931[/C][C]2.20798635210164[/C][/ROW]
[ROW][C]0.04[/C][C]84.4213807489965[/C][C]2.41006338576368[/C][/ROW]
[ROW][C]0.05[/C][C]85.5978414093702[/C][C]2.3529286166553[/C][/ROW]
[ROW][C]0.06[/C][C]86.6843124215172[/C][C]2.27038827105725[/C][/ROW]
[ROW][C]0.07[/C][C]87.6778957453594[/C][C]2.28838659357672[/C][/ROW]
[ROW][C]0.08[/C][C]88.6195988575783[/C][C]2.43768145678692[/C][/ROW]
[ROW][C]0.09[/C][C]89.5649208616518[/C][C]2.73944250283229[/C][/ROW]
[ROW][C]0.1[/C][C]90.572593904947[/C][C]3.23513268068559[/C][/ROW]
[ROW][C]0.11[/C][C]91.7030748367815[/C][C]3.96262270735711[/C][/ROW]
[ROW][C]0.12[/C][C]93.0165994947297[/C][C]4.92833467162145[/C][/ROW]
[ROW][C]0.13[/C][C]94.5667832076847[/C][C]6.09272972308077[/C][/ROW]
[ROW][C]0.14[/C][C]96.3910126581692[/C][C]7.36946173535821[/C][/ROW]
[ROW][C]0.15[/C][C]98.5010173952582[/C][C]8.6367166073473[/C][/ROW]
[ROW][C]0.16[/C][C]100.876966551408[/C][C]9.75652713325214[/C][/ROW]
[ROW][C]0.17[/C][C]103.467282309521[/C][C]10.6019636248214[/C][/ROW]
[ROW][C]0.18[/C][C]106.194678348041[/C][C]11.0818314997907[/C][/ROW]
[ROW][C]0.19[/C][C]108.967164928192[/C][C]11.1584462453644[/C][/ROW]
[ROW][C]0.2[/C][C]111.691423106815[/C][C]10.8516991920881[/C][/ROW]
[ROW][C]0.21[/C][C]114.285465553713[/C][C]10.2311169892414[/C][/ROW]
[ROW][C]0.22[/C][C]116.687985748438[/C][C]9.39775729705507[/C][/ROW]
[ROW][C]0.23[/C][C]118.862988582750[/C][C]8.46286754342213[/C][/ROW]
[ROW][C]0.24[/C][C]120.799693875729[/C][C]7.5291280680187[/C][/ROW]
[ROW][C]0.25[/C][C]122.508813444959[/C][C]6.67849196568477[/C][/ROW]
[ROW][C]0.26[/C][C]124.016829191713[/C][C]5.96648872856494[/C][/ROW]
[ROW][C]0.27[/C][C]125.359827612825[/C][C]5.42403488338603[/C][/ROW]
[ROW][C]0.28[/C][C]126.577975882818[/C][C]5.06079024084789[/C][/ROW]
[ROW][C]0.29[/C][C]127.711140407343[/C][C]4.8706779753656[/C][/ROW]
[ROW][C]0.3[/C][C]128.795686408343[/C][C]4.83360084736722[/C][/ROW]
[ROW][C]0.31[/C][C]129.862268201799[/C][C]4.91957461578324[/C][/ROW]
[ROW][C]0.32[/C][C]130.934406907753[/C][C]5.09049572441676[/C][/ROW]
[ROW][C]0.33[/C][C]132.027756760025[/C][C]5.30535633408137[/C][/ROW]
[ROW][C]0.34[/C][C]133.150068910414[/C][C]5.52419583777908[/C][/ROW]
[ROW][C]0.35[/C][C]134.301895496581[/C][C]5.71320536810974[/C][/ROW]
[ROW][C]0.36[/C][C]135.478018753865[/C][C]5.84919157234062[/C][/ROW]
[ROW][C]0.37[/C][C]136.669473326355[/C][C]5.9205244091708[/C][/ROW]
[ROW][C]0.38[/C][C]137.865912492776[/C][C]5.92845339763839[/C][/ROW]
[ROW][C]0.39[/C][C]139.058003040198[/C][C]5.88711221759962[/C][/ROW]
[ROW][C]0.4[/C][C]140.239544530972[/C][C]5.8195164109245[/C][/ROW]
[ROW][C]0.41[/C][C]141.409089307766[/C][C]5.75616268624721[/C][/ROW]
[ROW][C]0.42[/C][C]142.570957314086[/C][C]5.7302751938174[/C][/ROW]
[ROW][C]0.43[/C][C]143.735653434010[/C][C]5.77604195915356[/C][/ROW]
[ROW][C]0.44[/C][C]144.919771615685[/C][C]5.92550515600986[/C][/ROW]
[ROW][C]0.45[/C][C]146.145496291786[/C][C]6.2063339955857[/C][/ROW]
[ROW][C]0.46[/C][C]147.439796382175[/C][C]6.64212508325764[/C][/ROW]
[ROW][C]0.47[/C][C]148.833374840742[/C][C]7.24793898170747[/C][/ROW]
[ROW][C]0.48[/C][C]150.359414963089[/C][C]8.03128711361764[/C][/ROW]
[ROW][C]0.49[/C][C]152.052171443316[/C][C]8.99063730606502[/C][/ROW]
[ROW][C]0.5[/C][C]153.945488953249[/C][C]10.1156668042144[/C][/ROW]
[ROW][C]0.51[/C][C]156.071374099347[/C][C]11.3877195672898[/C][/ROW]
[ROW][C]0.52[/C][C]158.458767072086[/C][C]12.7843863672749[/C][/ROW]
[ROW][C]0.53[/C][C]161.132629298162[/C][C]14.2794284350537[/C][/ROW]
[ROW][C]0.54[/C][C]164.113373353579[/C][C]15.8475909397417[/C][/ROW]
[ROW][C]0.55[/C][C]167.416529520367[/C][C]17.4641243200333[/C][/ROW]
[ROW][C]0.56[/C][C]171.052414438176[/C][C]19.1052675277309[/C][/ROW]
[ROW][C]0.57[/C][C]175.02549911118[/C][C]20.7454453789757[/C][/ROW]
[ROW][C]0.58[/C][C]179.333214741454[/C][C]22.3505738287375[/C][/ROW]
[ROW][C]0.59[/C][C]183.964102111837[/C][C]23.8750592016289[/C][/ROW]
[ROW][C]0.6[/C][C]188.895474141968[/C][C]25.2590291835074[/C][/ROW]
[ROW][C]0.61[/C][C]194.091048652654[/C][C]26.4281514549247[/C][/ROW]
[ROW][C]0.62[/C][C]199.499222705225[/C][C]27.2999120533501[/C][/ROW]
[ROW][C]0.63[/C][C]205.052713765333[/C][C]27.7936971794538[/C][/ROW]
[ROW][C]0.64[/C][C]210.670141636142[/C][C]27.8423049807978[/C][/ROW]
[ROW][C]0.65[/C][C]216.259787180351[/C][C]27.4042291940206[/C][/ROW]
[ROW][C]0.66[/C][C]221.725319520633[/C][C]26.4735734353964[/C][/ROW]
[ROW][C]0.67[/C][C]226.972849604805[/C][C]25.0826381383056[/C][/ROW]
[ROW][C]0.68[/C][C]231.918359227467[/C][C]23.3021490436609[/C][/ROW]
[ROW][C]0.69[/C][C]236.494445221435[/C][C]21.2328876573926[/C][/ROW]
[ROW][C]0.7[/C][C]240.655422283106[/C][C]18.9944063927182[/C][/ROW]
[ROW][C]0.71[/C][C]244.380101844489[/C][C]16.7128728284082[/C][/ROW]
[ROW][C]0.72[/C][C]247.671933506429[/C][C]14.5077644024656[/C][/ROW]
[ROW][C]0.73[/C][C]250.556583659542[/C][C]12.4809714147521[/C][/ROW]
[ROW][C]0.74[/C][C]253.077377028342[/C][C]10.7086443197860[/C][/ROW]
[ROW][C]0.75[/C][C]255.289307230915[/C][C]9.23678687352765[/C][/ROW]
[ROW][C]0.76[/C][C]257.252506989741[/C][C]8.0778958816712[/C][/ROW]
[ROW][C]0.77[/C][C]259.026126286824[/C][C]7.21301704697212[/C][/ROW]
[ROW][C]0.78[/C][C]260.663461643658[/C][C]6.59736019590192[/C][/ROW]
[ROW][C]0.79[/C][C]262.20889563638[/C][C]6.17234298862234[/C][/ROW]
[ROW][C]0.8[/C][C]263.69678316016[/C][C]5.87889787284578[/C][/ROW]
[ROW][C]0.81[/C][C]265.151978160221[/C][C]5.66927864907373[/C][/ROW]
[ROW][C]0.82[/C][C]266.591402342965[/C][C]5.51001869547391[/C][/ROW]
[ROW][C]0.83[/C][C]268.026056689030[/C][C]5.37878687375065[/C][/ROW]
[ROW][C]0.84[/C][C]269.463171362004[/C][C]5.26174631653253[/C][/ROW]
[ROW][C]0.85[/C][C]270.908589836006[/C][C]5.15015342796546[/C][/ROW]
[ROW][C]0.86[/C][C]272.369677512583[/C][C]5.0434954885145[/C][/ROW]
[ROW][C]0.87[/C][C]273.858814098268[/C][C]4.95578538535881[/C][/ROW]
[ROW][C]0.88[/C][C]275.396970226860[/C][C]4.9159353993647[/C][/ROW]
[ROW][C]0.89[/C][C]277.016393610906[/C][C]4.9600301665748[/C][/ROW]
[ROW][C]0.9[/C][C]278.761369586935[/C][C]5.11574155667452[/C][/ROW]
[ROW][C]0.91[/C][C]280.686092557401[/C][C]5.39031018888826[/C][/ROW]
[ROW][C]0.92[/C][C]282.848114575043[/C][C]5.76742122175257[/C][/ROW]
[ROW][C]0.93[/C][C]285.294820285280[/C][C]6.19532545043501[/C][/ROW]
[ROW][C]0.94[/C][C]288.041808243960[/C][C]6.55837630215574[/C][/ROW]
[ROW][C]0.95[/C][C]291.049821894038[/C][C]6.66415148606375[/C][/ROW]
[ROW][C]0.96[/C][C]294.217734480107[/C][C]6.3223524467174[/C][/ROW]
[ROW][C]0.97[/C][C]297.403371452053[/C][C]5.49853283352308[/C][/ROW]
[ROW][C]0.98[/C][C]300.433264246117[/C][C]4.38655927065212[/C][/ROW]
[ROW][C]0.99[/C][C]302.997629302533[/C][C]3.38138670026397[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47016&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47016&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
quantilesvaluestandard error
0.0181.50482868746450.768738968666927
0.0282.20795807293531.59339839484787
0.0383.2373501079312.20798635210164
0.0484.42138074899652.41006338576368
0.0585.59784140937022.3529286166553
0.0686.68431242151722.27038827105725
0.0787.67789574535942.28838659357672
0.0888.61959885757832.43768145678692
0.0989.56492086165182.73944250283229
0.190.5725939049473.23513268068559
0.1191.70307483678153.96262270735711
0.1293.01659949472974.92833467162145
0.1394.56678320768476.09272972308077
0.1496.39101265816927.36946173535821
0.1598.50101739525828.6367166073473
0.16100.8769665514089.75652713325214
0.17103.46728230952110.6019636248214
0.18106.19467834804111.0818314997907
0.19108.96716492819211.1584462453644
0.2111.69142310681510.8516991920881
0.21114.28546555371310.2311169892414
0.22116.6879857484389.39775729705507
0.23118.8629885827508.46286754342213
0.24120.7996938757297.5291280680187
0.25122.5088134449596.67849196568477
0.26124.0168291917135.96648872856494
0.27125.3598276128255.42403488338603
0.28126.5779758828185.06079024084789
0.29127.7111404073434.8706779753656
0.3128.7956864083434.83360084736722
0.31129.8622682017994.91957461578324
0.32130.9344069077535.09049572441676
0.33132.0277567600255.30535633408137
0.34133.1500689104145.52419583777908
0.35134.3018954965815.71320536810974
0.36135.4780187538655.84919157234062
0.37136.6694733263555.9205244091708
0.38137.8659124927765.92845339763839
0.39139.0580030401985.88711221759962
0.4140.2395445309725.8195164109245
0.41141.4090893077665.75616268624721
0.42142.5709573140865.7302751938174
0.43143.7356534340105.77604195915356
0.44144.9197716156855.92550515600986
0.45146.1454962917866.2063339955857
0.46147.4397963821756.64212508325764
0.47148.8333748407427.24793898170747
0.48150.3594149630898.03128711361764
0.49152.0521714433168.99063730606502
0.5153.94548895324910.1156668042144
0.51156.07137409934711.3877195672898
0.52158.45876707208612.7843863672749
0.53161.13262929816214.2794284350537
0.54164.11337335357915.8475909397417
0.55167.41652952036717.4641243200333
0.56171.05241443817619.1052675277309
0.57175.0254991111820.7454453789757
0.58179.33321474145422.3505738287375
0.59183.96410211183723.8750592016289
0.6188.89547414196825.2590291835074
0.61194.09104865265426.4281514549247
0.62199.49922270522527.2999120533501
0.63205.05271376533327.7936971794538
0.64210.67014163614227.8423049807978
0.65216.25978718035127.4042291940206
0.66221.72531952063326.4735734353964
0.67226.97284960480525.0826381383056
0.68231.91835922746723.3021490436609
0.69236.49444522143521.2328876573926
0.7240.65542228310618.9944063927182
0.71244.38010184448916.7128728284082
0.72247.67193350642914.5077644024656
0.73250.55658365954212.4809714147521
0.74253.07737702834210.7086443197860
0.75255.2893072309159.23678687352765
0.76257.2525069897418.0778958816712
0.77259.0261262868247.21301704697212
0.78260.6634616436586.59736019590192
0.79262.208895636386.17234298862234
0.8263.696783160165.87889787284578
0.81265.1519781602215.66927864907373
0.82266.5914023429655.51001869547391
0.83268.0260566890305.37878687375065
0.84269.4631713620045.26174631653253
0.85270.9085898360065.15015342796546
0.86272.3696775125835.0434954885145
0.87273.8588140982684.95578538535881
0.88275.3969702268604.9159353993647
0.89277.0163936109064.9600301665748
0.9278.7613695869355.11574155667452
0.91280.6860925574015.39031018888826
0.92282.8481145750435.76742122175257
0.93285.2948202852806.19532545043501
0.94288.0418082439606.55837630215574
0.95291.0498218940386.66415148606375
0.96294.2177344801076.3223524467174
0.97297.4033714520535.49853283352308
0.98300.4332642461174.38655927065212
0.99302.9976293025333.38138670026397



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')