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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 30 Nov 2007 08:16:14 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/30/t11964351182pifchovnfue6w0.htm/, Retrieved Sun, 28 Apr 2024 06:32:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7733, Retrieved Sun, 28 Apr 2024 06:32:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspaper G29
Estimated Impact174

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [paper G29 harell ...] [2007-11-30 15:16:14] [8e05505c645e933583b5ad9ab4281af9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
153,4
159,5
157,4
169,1
172,6
161,7
159,2
157,4
153,9
144,8
142,2
140,1
143,4
153,3
166,9
170,6
182,8
170,3
156,6
155,2
154,7
151,6
152,1
153,2
149,5
149,7
144,3
140
137,8
132,2
128,9
123,1
120,4
122,8
126
124,5
120,6
114,7
111,7
109,1
108
107,7
99,9
103,7
103,4
103,4
104,7
105,8
105,3
103
103,8
103,4
105,8
101,4
97
94,3
96,6
97,1
95,7
96,9
97,4
95,3
93,6
91,5
93,1
91,7
94,3
93,9
90,9
88,3
91,3
91,7
92,4
92
95,6
95,8
96,4
99
107
109,7
116,2
115,9
113,8
112,6
113,7
115,9
110,3
111,3
113,4
108,2
104,8
106
110,9
115
118,4
121,4
128,8
131,7
141,7
142,9
139,4
134,7
125
113,6
111,5
108,5
112,3
116,6
115,5
120,1
132,9
128,1
129,3
132,5
131
124,9
120,8
122
122,1
127,4
135,2
137,3
135
136
138,4
134,7
138,4
133,9
133,6
141,2
151,8
155,4
156,6
161,6
160,7
156
159,5
168,7
169,9
169,9
185,9

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7733&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7733&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7733&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0189.83203231107241.36651517650852
0.01590.55632998160110.844249744510469
0.0291.05040477700730.556372498951835
0.02591.37247162550860.458201976047536
0.0391.60510817135750.478027970210727
0.03591.80705242106860.560889324883993
0.0492.01049863199440.672916773096455
0.04592.22990654131780.791333852290249
0.0592.46938225316750.900242094147702
0.05592.72721710057190.989752081448128
0.0692.99875327735681.05603660951137
0.06593.27835914325091.10025957984282
0.0793.5607540319621.12662361085063
0.07593.84174846079451.14060397429653
0.0894.1185017957031.14706802027505
0.08594.389463189611.14997811735948
0.0994.65417408988581.15236770895683
0.09594.91306859206621.15744372348469
0.195.16733972000041.16861088700226
0.10595.4188755484831.19004291215508
0.1195.67022745561081.22673067256050
0.11595.9245584080211.28344406919879
0.1296.18552700762741.36347687071011
0.12596.45708391653321.46879763723297
0.1396.74318234390911.59882243878457
0.13597.0474270315631.74976027883917
0.1497.3727027628591.91572518243413
0.14597.72083197277682.08833932823712
0.1598.09231096221942.25849003268261
0.15598.486165874132.41592888519468
0.1698.89995429323332.55153480765252
0.16599.32991843761472.65769947346649
0.1799.77127464629182.72892198400887
0.175100.2186048466242.7627949773922
0.18100.6663021896912.75940238839972
0.185101.1090172948512.72247704427464
0.19101.5420542279332.65768460807847
0.195101.9616754907422.57214030282045
0.2102.3652906230482.47436570427203
0.205102.7515204659572.37247071340227
0.21103.1201456170372.27426295398219
0.215103.4719606122022.18589705340960
0.22103.8085633743812.11197131071729
0.225104.1321120726692.0552019345889
0.23104.4450793322522.01653415314958
0.235104.7500280124331.99538175142450
0.24105.0494251272731.99016674086059
0.245105.3455024749261.99796846995663
0.25105.6401654101052.01630019968006
0.255105.9349457297182.04233067603107
0.26106.2309911643822.07344174218655
0.265106.5290824022712.10712171193201
0.27106.8296685711092.14139101384008
0.275107.1329131917602.17480396590277
0.28107.4387443025012.20576773403129
0.285107.7469043154472.23367307787539
0.29108.0569968968272.25731015496527
0.295108.3685295734232.27663939636976
0.3108.6809517783942.29133386016705
0.305108.9936886631022.30113032677384
0.31109.3061712729602.30640375951966
0.315109.6178636984852.30738822949247
0.32109.9282876587722.30464353032129
0.325110.2370447380852.29859443701059
0.33110.5438362451302.29035034909013
0.335110.8484804462722.28088249937891
0.34111.1509267638152.27121352060069
0.345111.4512664351522.26246707510162
0.35111.7497390912982.25592591024786
0.355112.0467347211272.2526596409751
0.36112.3427905288872.25431273429271
0.365112.6385822630082.26150263926711
0.37112.9349096996732.27574423275294
0.375113.2326761202632.29746850518873
0.38113.5328618475092.32727451727211
0.385113.8364922175902.36569692459658
0.39114.1446007696542.41270715813415
0.395114.4581889158092.46764820455508
0.4114.7781838754612.53025112806581
0.405115.1053971565472.59861240295717
0.41115.4404862641652.67184325259223
0.415115.7839225298032.74792620298459
0.42116.1359679059602.82511705750753
0.425116.4966632099012.90110032381831
0.43116.8658296129892.97410162880077
0.435117.2430841912753.04238116639830
0.44117.6278691595443.1040088118332
0.445118.0194931264563.15887181678195
0.45118.4171814810043.20578909511770
0.455118.8201320044363.24531127840312
0.46119.2275711347593.27768043495370
0.465119.6388060922973.30400070334396
0.47120.0532683495223.32576977417117
0.475120.4705446785723.34459389900901
0.48120.8903931562913.36240076140415
0.485121.3127429192703.38038783977672
0.49121.7376779784253.40024939487281
0.495122.1654068529423.42286623258781
0.5122.5962210104173.44879141968419
0.505123.0304459821653.4777260080394
0.51123.4683894873753.50990797540559
0.515123.9102909298003.54361460497990
0.52124.3562762613763.57791409945043
0.525124.8063215168693.61160144656935
0.53125.2602274185153.64238494835334
0.535125.7176064460403.66888276248848
0.54126.1778827753273.68935105654707
0.545126.6403045978153.70249259913693
0.55127.1039676026893.70690133435870
0.555127.5678478630313.70174405578606
0.56128.0308420135643.68708728949705
0.565128.4918124169603.66224657999887
0.57128.9496349507173.62766561172019
0.575129.4032470683413.58418600059467
0.58129.8516938655673.53290470969146
0.585130.2941699977763.47482634195387
0.59130.7300554490013.41197535241484
0.595131.1589433619253.34620347765191
0.6131.5806584280593.27942133500005
0.605131.9952647354023.21349775093939
0.61132.4030624963863.15064594708215
0.615132.8045737335543.09266869171558
0.62133.2005177616793.04125959653231
0.625133.5917781235872.99734064161012
0.63133.9793634389042.96214118110176
0.635134.3643653187922.9363474963765
0.64134.7479169875682.91933524995434
0.645135.1311564429062.91142418954239
0.65135.5151978099012.91169526413056
0.655135.9011139628322.91926969200011
0.66136.2899325048612.93367464406184
0.665136.6826458571332.95479548994397
0.67137.0802346040792.98164892225738
0.675137.4837014978413.01446733177637
0.68137.8941117972693.0534704863385
0.685138.3126340810943.09999739346930
0.69138.7405745159343.15500428091159
0.695139.1793969616313.21981477450259
0.7139.6307214288453.29586505711990
0.705140.0962944044953.38462224982386
0.71140.5779265117443.48637745082714
0.715141.0773958701703.60083558779875
0.72141.5963192502583.72688965047667
0.725142.1359974135553.86141219197735
0.73142.6972454816814.00120573444294
0.735143.2802232302224.14042547638432
0.74143.8842832131864.27259454021148
0.745144.5078559403214.39052304572261
0.75145.1483904123214.48679969187249
0.755145.8023648633524.55448922368446
0.76146.4653766114444.58714876146002
0.765147.1323119395754.58043367453175
0.77147.7975878064884.53171216625902
0.775148.4554481298854.44060517591322
0.78149.1002897683724.30972005022237
0.785149.7269884510944.14330985033525
0.79150.3311937375663.94824288983954
0.795150.9095650611063.73239130567215
0.8151.4599277639393.50491233514816
0.805151.9813378294253.27488410557752
0.81152.4740552609983.05086336394076
0.815152.9394369580542.84054375321684
0.82153.3797687562892.64926543304384
0.825153.7980617054252.48152290674886
0.83154.1978390347022.33932579728791
0.835154.5829378640372.22353050123303
0.84154.9573446509772.13356474706245
0.845155.3250772841322.06836338236589
0.85155.6901213883172.02599206683262
0.855156.0564249895222.0048757728999
0.86156.4279541985412.00380317355978
0.865156.8088113739632.02181108228719
0.87157.2034130685012.05917202063525
0.875157.6167138361032.11703818128570
0.88158.0544403463842.19800055980578
0.885158.5232680790582.30620580432305
0.89159.0308358597762.44606399204991
0.895159.5854649571992.62141951275997
0.9160.1954495736532.83208349136438
0.905160.8678366178793.07144670326166
0.91161.6067296765283.32349400539087
0.915162.4113306735663.56259658193404
0.92163.2741389402593.75491797815368
0.925164.1798979456223.86340540730499
0.93165.1059394234093.8554930564513
0.935166.0244725736343.71147322019023
0.94166.9071216194743.4328347150211
0.945167.7317395668863.04692135337968
0.95168.4913703747422.60870368073559
0.955169.2051957851082.20190349194011
0.96169.9308940033991.95005074369528
0.965170.7757860619962.02818172690844
0.97171.8988782499472.59523748855115
0.975173.4878520188633.65519486616111
0.98175.6906438177324.9686087345455
0.985178.4943431111285.96083435760367
0.99181.5877047177315.86135448982857

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 89.8320323110724 & 1.36651517650852 \tabularnewline
0.015 & 90.5563299816011 & 0.844249744510469 \tabularnewline
0.02 & 91.0504047770073 & 0.556372498951835 \tabularnewline
0.025 & 91.3724716255086 & 0.458201976047536 \tabularnewline
0.03 & 91.6051081713575 & 0.478027970210727 \tabularnewline
0.035 & 91.8070524210686 & 0.560889324883993 \tabularnewline
0.04 & 92.0104986319944 & 0.672916773096455 \tabularnewline
0.045 & 92.2299065413178 & 0.791333852290249 \tabularnewline
0.05 & 92.4693822531675 & 0.900242094147702 \tabularnewline
0.055 & 92.7272171005719 & 0.989752081448128 \tabularnewline
0.06 & 92.9987532773568 & 1.05603660951137 \tabularnewline
0.065 & 93.2783591432509 & 1.10025957984282 \tabularnewline
0.07 & 93.560754031962 & 1.12662361085063 \tabularnewline
0.075 & 93.8417484607945 & 1.14060397429653 \tabularnewline
0.08 & 94.118501795703 & 1.14706802027505 \tabularnewline
0.085 & 94.38946318961 & 1.14997811735948 \tabularnewline
0.09 & 94.6541740898858 & 1.15236770895683 \tabularnewline
0.095 & 94.9130685920662 & 1.15744372348469 \tabularnewline
0.1 & 95.1673397200004 & 1.16861088700226 \tabularnewline
0.105 & 95.418875548483 & 1.19004291215508 \tabularnewline
0.11 & 95.6702274556108 & 1.22673067256050 \tabularnewline
0.115 & 95.924558408021 & 1.28344406919879 \tabularnewline
0.12 & 96.1855270076274 & 1.36347687071011 \tabularnewline
0.125 & 96.4570839165332 & 1.46879763723297 \tabularnewline
0.13 & 96.7431823439091 & 1.59882243878457 \tabularnewline
0.135 & 97.047427031563 & 1.74976027883917 \tabularnewline
0.14 & 97.372702762859 & 1.91572518243413 \tabularnewline
0.145 & 97.7208319727768 & 2.08833932823712 \tabularnewline
0.15 & 98.0923109622194 & 2.25849003268261 \tabularnewline
0.155 & 98.48616587413 & 2.41592888519468 \tabularnewline
0.16 & 98.8999542932333 & 2.55153480765252 \tabularnewline
0.165 & 99.3299184376147 & 2.65769947346649 \tabularnewline
0.17 & 99.7712746462918 & 2.72892198400887 \tabularnewline
0.175 & 100.218604846624 & 2.7627949773922 \tabularnewline
0.18 & 100.666302189691 & 2.75940238839972 \tabularnewline
0.185 & 101.109017294851 & 2.72247704427464 \tabularnewline
0.19 & 101.542054227933 & 2.65768460807847 \tabularnewline
0.195 & 101.961675490742 & 2.57214030282045 \tabularnewline
0.2 & 102.365290623048 & 2.47436570427203 \tabularnewline
0.205 & 102.751520465957 & 2.37247071340227 \tabularnewline
0.21 & 103.120145617037 & 2.27426295398219 \tabularnewline
0.215 & 103.471960612202 & 2.18589705340960 \tabularnewline
0.22 & 103.808563374381 & 2.11197131071729 \tabularnewline
0.225 & 104.132112072669 & 2.0552019345889 \tabularnewline
0.23 & 104.445079332252 & 2.01653415314958 \tabularnewline
0.235 & 104.750028012433 & 1.99538175142450 \tabularnewline
0.24 & 105.049425127273 & 1.99016674086059 \tabularnewline
0.245 & 105.345502474926 & 1.99796846995663 \tabularnewline
0.25 & 105.640165410105 & 2.01630019968006 \tabularnewline
0.255 & 105.934945729718 & 2.04233067603107 \tabularnewline
0.26 & 106.230991164382 & 2.07344174218655 \tabularnewline
0.265 & 106.529082402271 & 2.10712171193201 \tabularnewline
0.27 & 106.829668571109 & 2.14139101384008 \tabularnewline
0.275 & 107.132913191760 & 2.17480396590277 \tabularnewline
0.28 & 107.438744302501 & 2.20576773403129 \tabularnewline
0.285 & 107.746904315447 & 2.23367307787539 \tabularnewline
0.29 & 108.056996896827 & 2.25731015496527 \tabularnewline
0.295 & 108.368529573423 & 2.27663939636976 \tabularnewline
0.3 & 108.680951778394 & 2.29133386016705 \tabularnewline
0.305 & 108.993688663102 & 2.30113032677384 \tabularnewline
0.31 & 109.306171272960 & 2.30640375951966 \tabularnewline
0.315 & 109.617863698485 & 2.30738822949247 \tabularnewline
0.32 & 109.928287658772 & 2.30464353032129 \tabularnewline
0.325 & 110.237044738085 & 2.29859443701059 \tabularnewline
0.33 & 110.543836245130 & 2.29035034909013 \tabularnewline
0.335 & 110.848480446272 & 2.28088249937891 \tabularnewline
0.34 & 111.150926763815 & 2.27121352060069 \tabularnewline
0.345 & 111.451266435152 & 2.26246707510162 \tabularnewline
0.35 & 111.749739091298 & 2.25592591024786 \tabularnewline
0.355 & 112.046734721127 & 2.2526596409751 \tabularnewline
0.36 & 112.342790528887 & 2.25431273429271 \tabularnewline
0.365 & 112.638582263008 & 2.26150263926711 \tabularnewline
0.37 & 112.934909699673 & 2.27574423275294 \tabularnewline
0.375 & 113.232676120263 & 2.29746850518873 \tabularnewline
0.38 & 113.532861847509 & 2.32727451727211 \tabularnewline
0.385 & 113.836492217590 & 2.36569692459658 \tabularnewline
0.39 & 114.144600769654 & 2.41270715813415 \tabularnewline
0.395 & 114.458188915809 & 2.46764820455508 \tabularnewline
0.4 & 114.778183875461 & 2.53025112806581 \tabularnewline
0.405 & 115.105397156547 & 2.59861240295717 \tabularnewline
0.41 & 115.440486264165 & 2.67184325259223 \tabularnewline
0.415 & 115.783922529803 & 2.74792620298459 \tabularnewline
0.42 & 116.135967905960 & 2.82511705750753 \tabularnewline
0.425 & 116.496663209901 & 2.90110032381831 \tabularnewline
0.43 & 116.865829612989 & 2.97410162880077 \tabularnewline
0.435 & 117.243084191275 & 3.04238116639830 \tabularnewline
0.44 & 117.627869159544 & 3.1040088118332 \tabularnewline
0.445 & 118.019493126456 & 3.15887181678195 \tabularnewline
0.45 & 118.417181481004 & 3.20578909511770 \tabularnewline
0.455 & 118.820132004436 & 3.24531127840312 \tabularnewline
0.46 & 119.227571134759 & 3.27768043495370 \tabularnewline
0.465 & 119.638806092297 & 3.30400070334396 \tabularnewline
0.47 & 120.053268349522 & 3.32576977417117 \tabularnewline
0.475 & 120.470544678572 & 3.34459389900901 \tabularnewline
0.48 & 120.890393156291 & 3.36240076140415 \tabularnewline
0.485 & 121.312742919270 & 3.38038783977672 \tabularnewline
0.49 & 121.737677978425 & 3.40024939487281 \tabularnewline
0.495 & 122.165406852942 & 3.42286623258781 \tabularnewline
0.5 & 122.596221010417 & 3.44879141968419 \tabularnewline
0.505 & 123.030445982165 & 3.4777260080394 \tabularnewline
0.51 & 123.468389487375 & 3.50990797540559 \tabularnewline
0.515 & 123.910290929800 & 3.54361460497990 \tabularnewline
0.52 & 124.356276261376 & 3.57791409945043 \tabularnewline
0.525 & 124.806321516869 & 3.61160144656935 \tabularnewline
0.53 & 125.260227418515 & 3.64238494835334 \tabularnewline
0.535 & 125.717606446040 & 3.66888276248848 \tabularnewline
0.54 & 126.177882775327 & 3.68935105654707 \tabularnewline
0.545 & 126.640304597815 & 3.70249259913693 \tabularnewline
0.55 & 127.103967602689 & 3.70690133435870 \tabularnewline
0.555 & 127.567847863031 & 3.70174405578606 \tabularnewline
0.56 & 128.030842013564 & 3.68708728949705 \tabularnewline
0.565 & 128.491812416960 & 3.66224657999887 \tabularnewline
0.57 & 128.949634950717 & 3.62766561172019 \tabularnewline
0.575 & 129.403247068341 & 3.58418600059467 \tabularnewline
0.58 & 129.851693865567 & 3.53290470969146 \tabularnewline
0.585 & 130.294169997776 & 3.47482634195387 \tabularnewline
0.59 & 130.730055449001 & 3.41197535241484 \tabularnewline
0.595 & 131.158943361925 & 3.34620347765191 \tabularnewline
0.6 & 131.580658428059 & 3.27942133500005 \tabularnewline
0.605 & 131.995264735402 & 3.21349775093939 \tabularnewline
0.61 & 132.403062496386 & 3.15064594708215 \tabularnewline
0.615 & 132.804573733554 & 3.09266869171558 \tabularnewline
0.62 & 133.200517761679 & 3.04125959653231 \tabularnewline
0.625 & 133.591778123587 & 2.99734064161012 \tabularnewline
0.63 & 133.979363438904 & 2.96214118110176 \tabularnewline
0.635 & 134.364365318792 & 2.9363474963765 \tabularnewline
0.64 & 134.747916987568 & 2.91933524995434 \tabularnewline
0.645 & 135.131156442906 & 2.91142418954239 \tabularnewline
0.65 & 135.515197809901 & 2.91169526413056 \tabularnewline
0.655 & 135.901113962832 & 2.91926969200011 \tabularnewline
0.66 & 136.289932504861 & 2.93367464406184 \tabularnewline
0.665 & 136.682645857133 & 2.95479548994397 \tabularnewline
0.67 & 137.080234604079 & 2.98164892225738 \tabularnewline
0.675 & 137.483701497841 & 3.01446733177637 \tabularnewline
0.68 & 137.894111797269 & 3.0534704863385 \tabularnewline
0.685 & 138.312634081094 & 3.09999739346930 \tabularnewline
0.69 & 138.740574515934 & 3.15500428091159 \tabularnewline
0.695 & 139.179396961631 & 3.21981477450259 \tabularnewline
0.7 & 139.630721428845 & 3.29586505711990 \tabularnewline
0.705 & 140.096294404495 & 3.38462224982386 \tabularnewline
0.71 & 140.577926511744 & 3.48637745082714 \tabularnewline
0.715 & 141.077395870170 & 3.60083558779875 \tabularnewline
0.72 & 141.596319250258 & 3.72688965047667 \tabularnewline
0.725 & 142.135997413555 & 3.86141219197735 \tabularnewline
0.73 & 142.697245481681 & 4.00120573444294 \tabularnewline
0.735 & 143.280223230222 & 4.14042547638432 \tabularnewline
0.74 & 143.884283213186 & 4.27259454021148 \tabularnewline
0.745 & 144.507855940321 & 4.39052304572261 \tabularnewline
0.75 & 145.148390412321 & 4.48679969187249 \tabularnewline
0.755 & 145.802364863352 & 4.55448922368446 \tabularnewline
0.76 & 146.465376611444 & 4.58714876146002 \tabularnewline
0.765 & 147.132311939575 & 4.58043367453175 \tabularnewline
0.77 & 147.797587806488 & 4.53171216625902 \tabularnewline
0.775 & 148.455448129885 & 4.44060517591322 \tabularnewline
0.78 & 149.100289768372 & 4.30972005022237 \tabularnewline
0.785 & 149.726988451094 & 4.14330985033525 \tabularnewline
0.79 & 150.331193737566 & 3.94824288983954 \tabularnewline
0.795 & 150.909565061106 & 3.73239130567215 \tabularnewline
0.8 & 151.459927763939 & 3.50491233514816 \tabularnewline
0.805 & 151.981337829425 & 3.27488410557752 \tabularnewline
0.81 & 152.474055260998 & 3.05086336394076 \tabularnewline
0.815 & 152.939436958054 & 2.84054375321684 \tabularnewline
0.82 & 153.379768756289 & 2.64926543304384 \tabularnewline
0.825 & 153.798061705425 & 2.48152290674886 \tabularnewline
0.83 & 154.197839034702 & 2.33932579728791 \tabularnewline
0.835 & 154.582937864037 & 2.22353050123303 \tabularnewline
0.84 & 154.957344650977 & 2.13356474706245 \tabularnewline
0.845 & 155.325077284132 & 2.06836338236589 \tabularnewline
0.85 & 155.690121388317 & 2.02599206683262 \tabularnewline
0.855 & 156.056424989522 & 2.0048757728999 \tabularnewline
0.86 & 156.427954198541 & 2.00380317355978 \tabularnewline
0.865 & 156.808811373963 & 2.02181108228719 \tabularnewline
0.87 & 157.203413068501 & 2.05917202063525 \tabularnewline
0.875 & 157.616713836103 & 2.11703818128570 \tabularnewline
0.88 & 158.054440346384 & 2.19800055980578 \tabularnewline
0.885 & 158.523268079058 & 2.30620580432305 \tabularnewline
0.89 & 159.030835859776 & 2.44606399204991 \tabularnewline
0.895 & 159.585464957199 & 2.62141951275997 \tabularnewline
0.9 & 160.195449573653 & 2.83208349136438 \tabularnewline
0.905 & 160.867836617879 & 3.07144670326166 \tabularnewline
0.91 & 161.606729676528 & 3.32349400539087 \tabularnewline
0.915 & 162.411330673566 & 3.56259658193404 \tabularnewline
0.92 & 163.274138940259 & 3.75491797815368 \tabularnewline
0.925 & 164.179897945622 & 3.86340540730499 \tabularnewline
0.93 & 165.105939423409 & 3.8554930564513 \tabularnewline
0.935 & 166.024472573634 & 3.71147322019023 \tabularnewline
0.94 & 166.907121619474 & 3.4328347150211 \tabularnewline
0.945 & 167.731739566886 & 3.04692135337968 \tabularnewline
0.95 & 168.491370374742 & 2.60870368073559 \tabularnewline
0.955 & 169.205195785108 & 2.20190349194011 \tabularnewline
0.96 & 169.930894003399 & 1.95005074369528 \tabularnewline
0.965 & 170.775786061996 & 2.02818172690844 \tabularnewline
0.97 & 171.898878249947 & 2.59523748855115 \tabularnewline
0.975 & 173.487852018863 & 3.65519486616111 \tabularnewline
0.98 & 175.690643817732 & 4.9686087345455 \tabularnewline
0.985 & 178.494343111128 & 5.96083435760367 \tabularnewline
0.99 & 181.587704717731 & 5.86135448982857 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7733&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]89.8320323110724[/C][C]1.36651517650852[/C][/ROW]
[ROW][C]0.015[/C][C]90.5563299816011[/C][C]0.844249744510469[/C][/ROW]
[ROW][C]0.02[/C][C]91.0504047770073[/C][C]0.556372498951835[/C][/ROW]
[ROW][C]0.025[/C][C]91.3724716255086[/C][C]0.458201976047536[/C][/ROW]
[ROW][C]0.03[/C][C]91.6051081713575[/C][C]0.478027970210727[/C][/ROW]
[ROW][C]0.035[/C][C]91.8070524210686[/C][C]0.560889324883993[/C][/ROW]
[ROW][C]0.04[/C][C]92.0104986319944[/C][C]0.672916773096455[/C][/ROW]
[ROW][C]0.045[/C][C]92.2299065413178[/C][C]0.791333852290249[/C][/ROW]
[ROW][C]0.05[/C][C]92.4693822531675[/C][C]0.900242094147702[/C][/ROW]
[ROW][C]0.055[/C][C]92.7272171005719[/C][C]0.989752081448128[/C][/ROW]
[ROW][C]0.06[/C][C]92.9987532773568[/C][C]1.05603660951137[/C][/ROW]
[ROW][C]0.065[/C][C]93.2783591432509[/C][C]1.10025957984282[/C][/ROW]
[ROW][C]0.07[/C][C]93.560754031962[/C][C]1.12662361085063[/C][/ROW]
[ROW][C]0.075[/C][C]93.8417484607945[/C][C]1.14060397429653[/C][/ROW]
[ROW][C]0.08[/C][C]94.118501795703[/C][C]1.14706802027505[/C][/ROW]
[ROW][C]0.085[/C][C]94.38946318961[/C][C]1.14997811735948[/C][/ROW]
[ROW][C]0.09[/C][C]94.6541740898858[/C][C]1.15236770895683[/C][/ROW]
[ROW][C]0.095[/C][C]94.9130685920662[/C][C]1.15744372348469[/C][/ROW]
[ROW][C]0.1[/C][C]95.1673397200004[/C][C]1.16861088700226[/C][/ROW]
[ROW][C]0.105[/C][C]95.418875548483[/C][C]1.19004291215508[/C][/ROW]
[ROW][C]0.11[/C][C]95.6702274556108[/C][C]1.22673067256050[/C][/ROW]
[ROW][C]0.115[/C][C]95.924558408021[/C][C]1.28344406919879[/C][/ROW]
[ROW][C]0.12[/C][C]96.1855270076274[/C][C]1.36347687071011[/C][/ROW]
[ROW][C]0.125[/C][C]96.4570839165332[/C][C]1.46879763723297[/C][/ROW]
[ROW][C]0.13[/C][C]96.7431823439091[/C][C]1.59882243878457[/C][/ROW]
[ROW][C]0.135[/C][C]97.047427031563[/C][C]1.74976027883917[/C][/ROW]
[ROW][C]0.14[/C][C]97.372702762859[/C][C]1.91572518243413[/C][/ROW]
[ROW][C]0.145[/C][C]97.7208319727768[/C][C]2.08833932823712[/C][/ROW]
[ROW][C]0.15[/C][C]98.0923109622194[/C][C]2.25849003268261[/C][/ROW]
[ROW][C]0.155[/C][C]98.48616587413[/C][C]2.41592888519468[/C][/ROW]
[ROW][C]0.16[/C][C]98.8999542932333[/C][C]2.55153480765252[/C][/ROW]
[ROW][C]0.165[/C][C]99.3299184376147[/C][C]2.65769947346649[/C][/ROW]
[ROW][C]0.17[/C][C]99.7712746462918[/C][C]2.72892198400887[/C][/ROW]
[ROW][C]0.175[/C][C]100.218604846624[/C][C]2.7627949773922[/C][/ROW]
[ROW][C]0.18[/C][C]100.666302189691[/C][C]2.75940238839972[/C][/ROW]
[ROW][C]0.185[/C][C]101.109017294851[/C][C]2.72247704427464[/C][/ROW]
[ROW][C]0.19[/C][C]101.542054227933[/C][C]2.65768460807847[/C][/ROW]
[ROW][C]0.195[/C][C]101.961675490742[/C][C]2.57214030282045[/C][/ROW]
[ROW][C]0.2[/C][C]102.365290623048[/C][C]2.47436570427203[/C][/ROW]
[ROW][C]0.205[/C][C]102.751520465957[/C][C]2.37247071340227[/C][/ROW]
[ROW][C]0.21[/C][C]103.120145617037[/C][C]2.27426295398219[/C][/ROW]
[ROW][C]0.215[/C][C]103.471960612202[/C][C]2.18589705340960[/C][/ROW]
[ROW][C]0.22[/C][C]103.808563374381[/C][C]2.11197131071729[/C][/ROW]
[ROW][C]0.225[/C][C]104.132112072669[/C][C]2.0552019345889[/C][/ROW]
[ROW][C]0.23[/C][C]104.445079332252[/C][C]2.01653415314958[/C][/ROW]
[ROW][C]0.235[/C][C]104.750028012433[/C][C]1.99538175142450[/C][/ROW]
[ROW][C]0.24[/C][C]105.049425127273[/C][C]1.99016674086059[/C][/ROW]
[ROW][C]0.245[/C][C]105.345502474926[/C][C]1.99796846995663[/C][/ROW]
[ROW][C]0.25[/C][C]105.640165410105[/C][C]2.01630019968006[/C][/ROW]
[ROW][C]0.255[/C][C]105.934945729718[/C][C]2.04233067603107[/C][/ROW]
[ROW][C]0.26[/C][C]106.230991164382[/C][C]2.07344174218655[/C][/ROW]
[ROW][C]0.265[/C][C]106.529082402271[/C][C]2.10712171193201[/C][/ROW]
[ROW][C]0.27[/C][C]106.829668571109[/C][C]2.14139101384008[/C][/ROW]
[ROW][C]0.275[/C][C]107.132913191760[/C][C]2.17480396590277[/C][/ROW]
[ROW][C]0.28[/C][C]107.438744302501[/C][C]2.20576773403129[/C][/ROW]
[ROW][C]0.285[/C][C]107.746904315447[/C][C]2.23367307787539[/C][/ROW]
[ROW][C]0.29[/C][C]108.056996896827[/C][C]2.25731015496527[/C][/ROW]
[ROW][C]0.295[/C][C]108.368529573423[/C][C]2.27663939636976[/C][/ROW]
[ROW][C]0.3[/C][C]108.680951778394[/C][C]2.29133386016705[/C][/ROW]
[ROW][C]0.305[/C][C]108.993688663102[/C][C]2.30113032677384[/C][/ROW]
[ROW][C]0.31[/C][C]109.306171272960[/C][C]2.30640375951966[/C][/ROW]
[ROW][C]0.315[/C][C]109.617863698485[/C][C]2.30738822949247[/C][/ROW]
[ROW][C]0.32[/C][C]109.928287658772[/C][C]2.30464353032129[/C][/ROW]
[ROW][C]0.325[/C][C]110.237044738085[/C][C]2.29859443701059[/C][/ROW]
[ROW][C]0.33[/C][C]110.543836245130[/C][C]2.29035034909013[/C][/ROW]
[ROW][C]0.335[/C][C]110.848480446272[/C][C]2.28088249937891[/C][/ROW]
[ROW][C]0.34[/C][C]111.150926763815[/C][C]2.27121352060069[/C][/ROW]
[ROW][C]0.345[/C][C]111.451266435152[/C][C]2.26246707510162[/C][/ROW]
[ROW][C]0.35[/C][C]111.749739091298[/C][C]2.25592591024786[/C][/ROW]
[ROW][C]0.355[/C][C]112.046734721127[/C][C]2.2526596409751[/C][/ROW]
[ROW][C]0.36[/C][C]112.342790528887[/C][C]2.25431273429271[/C][/ROW]
[ROW][C]0.365[/C][C]112.638582263008[/C][C]2.26150263926711[/C][/ROW]
[ROW][C]0.37[/C][C]112.934909699673[/C][C]2.27574423275294[/C][/ROW]
[ROW][C]0.375[/C][C]113.232676120263[/C][C]2.29746850518873[/C][/ROW]
[ROW][C]0.38[/C][C]113.532861847509[/C][C]2.32727451727211[/C][/ROW]
[ROW][C]0.385[/C][C]113.836492217590[/C][C]2.36569692459658[/C][/ROW]
[ROW][C]0.39[/C][C]114.144600769654[/C][C]2.41270715813415[/C][/ROW]
[ROW][C]0.395[/C][C]114.458188915809[/C][C]2.46764820455508[/C][/ROW]
[ROW][C]0.4[/C][C]114.778183875461[/C][C]2.53025112806581[/C][/ROW]
[ROW][C]0.405[/C][C]115.105397156547[/C][C]2.59861240295717[/C][/ROW]
[ROW][C]0.41[/C][C]115.440486264165[/C][C]2.67184325259223[/C][/ROW]
[ROW][C]0.415[/C][C]115.783922529803[/C][C]2.74792620298459[/C][/ROW]
[ROW][C]0.42[/C][C]116.135967905960[/C][C]2.82511705750753[/C][/ROW]
[ROW][C]0.425[/C][C]116.496663209901[/C][C]2.90110032381831[/C][/ROW]
[ROW][C]0.43[/C][C]116.865829612989[/C][C]2.97410162880077[/C][/ROW]
[ROW][C]0.435[/C][C]117.243084191275[/C][C]3.04238116639830[/C][/ROW]
[ROW][C]0.44[/C][C]117.627869159544[/C][C]3.1040088118332[/C][/ROW]
[ROW][C]0.445[/C][C]118.019493126456[/C][C]3.15887181678195[/C][/ROW]
[ROW][C]0.45[/C][C]118.417181481004[/C][C]3.20578909511770[/C][/ROW]
[ROW][C]0.455[/C][C]118.820132004436[/C][C]3.24531127840312[/C][/ROW]
[ROW][C]0.46[/C][C]119.227571134759[/C][C]3.27768043495370[/C][/ROW]
[ROW][C]0.465[/C][C]119.638806092297[/C][C]3.30400070334396[/C][/ROW]
[ROW][C]0.47[/C][C]120.053268349522[/C][C]3.32576977417117[/C][/ROW]
[ROW][C]0.475[/C][C]120.470544678572[/C][C]3.34459389900901[/C][/ROW]
[ROW][C]0.48[/C][C]120.890393156291[/C][C]3.36240076140415[/C][/ROW]
[ROW][C]0.485[/C][C]121.312742919270[/C][C]3.38038783977672[/C][/ROW]
[ROW][C]0.49[/C][C]121.737677978425[/C][C]3.40024939487281[/C][/ROW]
[ROW][C]0.495[/C][C]122.165406852942[/C][C]3.42286623258781[/C][/ROW]
[ROW][C]0.5[/C][C]122.596221010417[/C][C]3.44879141968419[/C][/ROW]
[ROW][C]0.505[/C][C]123.030445982165[/C][C]3.4777260080394[/C][/ROW]
[ROW][C]0.51[/C][C]123.468389487375[/C][C]3.50990797540559[/C][/ROW]
[ROW][C]0.515[/C][C]123.910290929800[/C][C]3.54361460497990[/C][/ROW]
[ROW][C]0.52[/C][C]124.356276261376[/C][C]3.57791409945043[/C][/ROW]
[ROW][C]0.525[/C][C]124.806321516869[/C][C]3.61160144656935[/C][/ROW]
[ROW][C]0.53[/C][C]125.260227418515[/C][C]3.64238494835334[/C][/ROW]
[ROW][C]0.535[/C][C]125.717606446040[/C][C]3.66888276248848[/C][/ROW]
[ROW][C]0.54[/C][C]126.177882775327[/C][C]3.68935105654707[/C][/ROW]
[ROW][C]0.545[/C][C]126.640304597815[/C][C]3.70249259913693[/C][/ROW]
[ROW][C]0.55[/C][C]127.103967602689[/C][C]3.70690133435870[/C][/ROW]
[ROW][C]0.555[/C][C]127.567847863031[/C][C]3.70174405578606[/C][/ROW]
[ROW][C]0.56[/C][C]128.030842013564[/C][C]3.68708728949705[/C][/ROW]
[ROW][C]0.565[/C][C]128.491812416960[/C][C]3.66224657999887[/C][/ROW]
[ROW][C]0.57[/C][C]128.949634950717[/C][C]3.62766561172019[/C][/ROW]
[ROW][C]0.575[/C][C]129.403247068341[/C][C]3.58418600059467[/C][/ROW]
[ROW][C]0.58[/C][C]129.851693865567[/C][C]3.53290470969146[/C][/ROW]
[ROW][C]0.585[/C][C]130.294169997776[/C][C]3.47482634195387[/C][/ROW]
[ROW][C]0.59[/C][C]130.730055449001[/C][C]3.41197535241484[/C][/ROW]
[ROW][C]0.595[/C][C]131.158943361925[/C][C]3.34620347765191[/C][/ROW]
[ROW][C]0.6[/C][C]131.580658428059[/C][C]3.27942133500005[/C][/ROW]
[ROW][C]0.605[/C][C]131.995264735402[/C][C]3.21349775093939[/C][/ROW]
[ROW][C]0.61[/C][C]132.403062496386[/C][C]3.15064594708215[/C][/ROW]
[ROW][C]0.615[/C][C]132.804573733554[/C][C]3.09266869171558[/C][/ROW]
[ROW][C]0.62[/C][C]133.200517761679[/C][C]3.04125959653231[/C][/ROW]
[ROW][C]0.625[/C][C]133.591778123587[/C][C]2.99734064161012[/C][/ROW]
[ROW][C]0.63[/C][C]133.979363438904[/C][C]2.96214118110176[/C][/ROW]
[ROW][C]0.635[/C][C]134.364365318792[/C][C]2.9363474963765[/C][/ROW]
[ROW][C]0.64[/C][C]134.747916987568[/C][C]2.91933524995434[/C][/ROW]
[ROW][C]0.645[/C][C]135.131156442906[/C][C]2.91142418954239[/C][/ROW]
[ROW][C]0.65[/C][C]135.515197809901[/C][C]2.91169526413056[/C][/ROW]
[ROW][C]0.655[/C][C]135.901113962832[/C][C]2.91926969200011[/C][/ROW]
[ROW][C]0.66[/C][C]136.289932504861[/C][C]2.93367464406184[/C][/ROW]
[ROW][C]0.665[/C][C]136.682645857133[/C][C]2.95479548994397[/C][/ROW]
[ROW][C]0.67[/C][C]137.080234604079[/C][C]2.98164892225738[/C][/ROW]
[ROW][C]0.675[/C][C]137.483701497841[/C][C]3.01446733177637[/C][/ROW]
[ROW][C]0.68[/C][C]137.894111797269[/C][C]3.0534704863385[/C][/ROW]
[ROW][C]0.685[/C][C]138.312634081094[/C][C]3.09999739346930[/C][/ROW]
[ROW][C]0.69[/C][C]138.740574515934[/C][C]3.15500428091159[/C][/ROW]
[ROW][C]0.695[/C][C]139.179396961631[/C][C]3.21981477450259[/C][/ROW]
[ROW][C]0.7[/C][C]139.630721428845[/C][C]3.29586505711990[/C][/ROW]
[ROW][C]0.705[/C][C]140.096294404495[/C][C]3.38462224982386[/C][/ROW]
[ROW][C]0.71[/C][C]140.577926511744[/C][C]3.48637745082714[/C][/ROW]
[ROW][C]0.715[/C][C]141.077395870170[/C][C]3.60083558779875[/C][/ROW]
[ROW][C]0.72[/C][C]141.596319250258[/C][C]3.72688965047667[/C][/ROW]
[ROW][C]0.725[/C][C]142.135997413555[/C][C]3.86141219197735[/C][/ROW]
[ROW][C]0.73[/C][C]142.697245481681[/C][C]4.00120573444294[/C][/ROW]
[ROW][C]0.735[/C][C]143.280223230222[/C][C]4.14042547638432[/C][/ROW]
[ROW][C]0.74[/C][C]143.884283213186[/C][C]4.27259454021148[/C][/ROW]
[ROW][C]0.745[/C][C]144.507855940321[/C][C]4.39052304572261[/C][/ROW]
[ROW][C]0.75[/C][C]145.148390412321[/C][C]4.48679969187249[/C][/ROW]
[ROW][C]0.755[/C][C]145.802364863352[/C][C]4.55448922368446[/C][/ROW]
[ROW][C]0.76[/C][C]146.465376611444[/C][C]4.58714876146002[/C][/ROW]
[ROW][C]0.765[/C][C]147.132311939575[/C][C]4.58043367453175[/C][/ROW]
[ROW][C]0.77[/C][C]147.797587806488[/C][C]4.53171216625902[/C][/ROW]
[ROW][C]0.775[/C][C]148.455448129885[/C][C]4.44060517591322[/C][/ROW]
[ROW][C]0.78[/C][C]149.100289768372[/C][C]4.30972005022237[/C][/ROW]
[ROW][C]0.785[/C][C]149.726988451094[/C][C]4.14330985033525[/C][/ROW]
[ROW][C]0.79[/C][C]150.331193737566[/C][C]3.94824288983954[/C][/ROW]
[ROW][C]0.795[/C][C]150.909565061106[/C][C]3.73239130567215[/C][/ROW]
[ROW][C]0.8[/C][C]151.459927763939[/C][C]3.50491233514816[/C][/ROW]
[ROW][C]0.805[/C][C]151.981337829425[/C][C]3.27488410557752[/C][/ROW]
[ROW][C]0.81[/C][C]152.474055260998[/C][C]3.05086336394076[/C][/ROW]
[ROW][C]0.815[/C][C]152.939436958054[/C][C]2.84054375321684[/C][/ROW]
[ROW][C]0.82[/C][C]153.379768756289[/C][C]2.64926543304384[/C][/ROW]
[ROW][C]0.825[/C][C]153.798061705425[/C][C]2.48152290674886[/C][/ROW]
[ROW][C]0.83[/C][C]154.197839034702[/C][C]2.33932579728791[/C][/ROW]
[ROW][C]0.835[/C][C]154.582937864037[/C][C]2.22353050123303[/C][/ROW]
[ROW][C]0.84[/C][C]154.957344650977[/C][C]2.13356474706245[/C][/ROW]
[ROW][C]0.845[/C][C]155.325077284132[/C][C]2.06836338236589[/C][/ROW]
[ROW][C]0.85[/C][C]155.690121388317[/C][C]2.02599206683262[/C][/ROW]
[ROW][C]0.855[/C][C]156.056424989522[/C][C]2.0048757728999[/C][/ROW]
[ROW][C]0.86[/C][C]156.427954198541[/C][C]2.00380317355978[/C][/ROW]
[ROW][C]0.865[/C][C]156.808811373963[/C][C]2.02181108228719[/C][/ROW]
[ROW][C]0.87[/C][C]157.203413068501[/C][C]2.05917202063525[/C][/ROW]
[ROW][C]0.875[/C][C]157.616713836103[/C][C]2.11703818128570[/C][/ROW]
[ROW][C]0.88[/C][C]158.054440346384[/C][C]2.19800055980578[/C][/ROW]
[ROW][C]0.885[/C][C]158.523268079058[/C][C]2.30620580432305[/C][/ROW]
[ROW][C]0.89[/C][C]159.030835859776[/C][C]2.44606399204991[/C][/ROW]
[ROW][C]0.895[/C][C]159.585464957199[/C][C]2.62141951275997[/C][/ROW]
[ROW][C]0.9[/C][C]160.195449573653[/C][C]2.83208349136438[/C][/ROW]
[ROW][C]0.905[/C][C]160.867836617879[/C][C]3.07144670326166[/C][/ROW]
[ROW][C]0.91[/C][C]161.606729676528[/C][C]3.32349400539087[/C][/ROW]
[ROW][C]0.915[/C][C]162.411330673566[/C][C]3.56259658193404[/C][/ROW]
[ROW][C]0.92[/C][C]163.274138940259[/C][C]3.75491797815368[/C][/ROW]
[ROW][C]0.925[/C][C]164.179897945622[/C][C]3.86340540730499[/C][/ROW]
[ROW][C]0.93[/C][C]165.105939423409[/C][C]3.8554930564513[/C][/ROW]
[ROW][C]0.935[/C][C]166.024472573634[/C][C]3.71147322019023[/C][/ROW]
[ROW][C]0.94[/C][C]166.907121619474[/C][C]3.4328347150211[/C][/ROW]
[ROW][C]0.945[/C][C]167.731739566886[/C][C]3.04692135337968[/C][/ROW]
[ROW][C]0.95[/C][C]168.491370374742[/C][C]2.60870368073559[/C][/ROW]
[ROW][C]0.955[/C][C]169.205195785108[/C][C]2.20190349194011[/C][/ROW]
[ROW][C]0.96[/C][C]169.930894003399[/C][C]1.95005074369528[/C][/ROW]
[ROW][C]0.965[/C][C]170.775786061996[/C][C]2.02818172690844[/C][/ROW]
[ROW][C]0.97[/C][C]171.898878249947[/C][C]2.59523748855115[/C][/ROW]
[ROW][C]0.975[/C][C]173.487852018863[/C][C]3.65519486616111[/C][/ROW]
[ROW][C]0.98[/C][C]175.690643817732[/C][C]4.9686087345455[/C][/ROW]
[ROW][C]0.985[/C][C]178.494343111128[/C][C]5.96083435760367[/C][/ROW]
[ROW][C]0.99[/C][C]181.587704717731[/C][C]5.86135448982857[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7733&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7733&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
0.0189.83203231107241.36651517650852
0.01590.55632998160110.844249744510469
0.0291.05040477700730.556372498951835
0.02591.37247162550860.458201976047536
0.0391.60510817135750.478027970210727
0.03591.80705242106860.560889324883993
0.0492.01049863199440.672916773096455
0.04592.22990654131780.791333852290249
0.0592.46938225316750.900242094147702
0.05592.72721710057190.989752081448128
0.0692.99875327735681.05603660951137
0.06593.27835914325091.10025957984282
0.0793.5607540319621.12662361085063
0.07593.84174846079451.14060397429653
0.0894.1185017957031.14706802027505
0.08594.389463189611.14997811735948
0.0994.65417408988581.15236770895683
0.09594.91306859206621.15744372348469
0.195.16733972000041.16861088700226
0.10595.4188755484831.19004291215508
0.1195.67022745561081.22673067256050
0.11595.9245584080211.28344406919879
0.1296.18552700762741.36347687071011
0.12596.45708391653321.46879763723297
0.1396.74318234390911.59882243878457
0.13597.0474270315631.74976027883917
0.1497.3727027628591.91572518243413
0.14597.72083197277682.08833932823712
0.1598.09231096221942.25849003268261
0.15598.486165874132.41592888519468
0.1698.89995429323332.55153480765252
0.16599.32991843761472.65769947346649
0.1799.77127464629182.72892198400887
0.175100.2186048466242.7627949773922
0.18100.6663021896912.75940238839972
0.185101.1090172948512.72247704427464
0.19101.5420542279332.65768460807847
0.195101.9616754907422.57214030282045
0.2102.3652906230482.47436570427203
0.205102.7515204659572.37247071340227
0.21103.1201456170372.27426295398219
0.215103.4719606122022.18589705340960
0.22103.8085633743812.11197131071729
0.225104.1321120726692.0552019345889
0.23104.4450793322522.01653415314958
0.235104.7500280124331.99538175142450
0.24105.0494251272731.99016674086059
0.245105.3455024749261.99796846995663
0.25105.6401654101052.01630019968006
0.255105.9349457297182.04233067603107
0.26106.2309911643822.07344174218655
0.265106.5290824022712.10712171193201
0.27106.8296685711092.14139101384008
0.275107.1329131917602.17480396590277
0.28107.4387443025012.20576773403129
0.285107.7469043154472.23367307787539
0.29108.0569968968272.25731015496527
0.295108.3685295734232.27663939636976
0.3108.6809517783942.29133386016705
0.305108.9936886631022.30113032677384
0.31109.3061712729602.30640375951966
0.315109.6178636984852.30738822949247
0.32109.9282876587722.30464353032129
0.325110.2370447380852.29859443701059
0.33110.5438362451302.29035034909013
0.335110.8484804462722.28088249937891
0.34111.1509267638152.27121352060069
0.345111.4512664351522.26246707510162
0.35111.7497390912982.25592591024786
0.355112.0467347211272.2526596409751
0.36112.3427905288872.25431273429271
0.365112.6385822630082.26150263926711
0.37112.9349096996732.27574423275294
0.375113.2326761202632.29746850518873
0.38113.5328618475092.32727451727211
0.385113.8364922175902.36569692459658
0.39114.1446007696542.41270715813415
0.395114.4581889158092.46764820455508
0.4114.7781838754612.53025112806581
0.405115.1053971565472.59861240295717
0.41115.4404862641652.67184325259223
0.415115.7839225298032.74792620298459
0.42116.1359679059602.82511705750753
0.425116.4966632099012.90110032381831
0.43116.8658296129892.97410162880077
0.435117.2430841912753.04238116639830
0.44117.6278691595443.1040088118332
0.445118.0194931264563.15887181678195
0.45118.4171814810043.20578909511770
0.455118.8201320044363.24531127840312
0.46119.2275711347593.27768043495370
0.465119.6388060922973.30400070334396
0.47120.0532683495223.32576977417117
0.475120.4705446785723.34459389900901
0.48120.8903931562913.36240076140415
0.485121.3127429192703.38038783977672
0.49121.7376779784253.40024939487281
0.495122.1654068529423.42286623258781
0.5122.5962210104173.44879141968419
0.505123.0304459821653.4777260080394
0.51123.4683894873753.50990797540559
0.515123.9102909298003.54361460497990
0.52124.3562762613763.57791409945043
0.525124.8063215168693.61160144656935
0.53125.2602274185153.64238494835334
0.535125.7176064460403.66888276248848
0.54126.1778827753273.68935105654707
0.545126.6403045978153.70249259913693
0.55127.1039676026893.70690133435870
0.555127.5678478630313.70174405578606
0.56128.0308420135643.68708728949705
0.565128.4918124169603.66224657999887
0.57128.9496349507173.62766561172019
0.575129.4032470683413.58418600059467
0.58129.8516938655673.53290470969146
0.585130.2941699977763.47482634195387
0.59130.7300554490013.41197535241484
0.595131.1589433619253.34620347765191
0.6131.5806584280593.27942133500005
0.605131.9952647354023.21349775093939
0.61132.4030624963863.15064594708215
0.615132.8045737335543.09266869171558
0.62133.2005177616793.04125959653231
0.625133.5917781235872.99734064161012
0.63133.9793634389042.96214118110176
0.635134.3643653187922.9363474963765
0.64134.7479169875682.91933524995434
0.645135.1311564429062.91142418954239
0.65135.5151978099012.91169526413056
0.655135.9011139628322.91926969200011
0.66136.2899325048612.93367464406184
0.665136.6826458571332.95479548994397
0.67137.0802346040792.98164892225738
0.675137.4837014978413.01446733177637
0.68137.8941117972693.0534704863385
0.685138.3126340810943.09999739346930
0.69138.7405745159343.15500428091159
0.695139.1793969616313.21981477450259
0.7139.6307214288453.29586505711990
0.705140.0962944044953.38462224982386
0.71140.5779265117443.48637745082714
0.715141.0773958701703.60083558779875
0.72141.5963192502583.72688965047667
0.725142.1359974135553.86141219197735
0.73142.6972454816814.00120573444294
0.735143.2802232302224.14042547638432
0.74143.8842832131864.27259454021148
0.745144.5078559403214.39052304572261
0.75145.1483904123214.48679969187249
0.755145.8023648633524.55448922368446
0.76146.4653766114444.58714876146002
0.765147.1323119395754.58043367453175
0.77147.7975878064884.53171216625902
0.775148.4554481298854.44060517591322
0.78149.1002897683724.30972005022237
0.785149.7269884510944.14330985033525
0.79150.3311937375663.94824288983954
0.795150.9095650611063.73239130567215
0.8151.4599277639393.50491233514816
0.805151.9813378294253.27488410557752
0.81152.4740552609983.05086336394076
0.815152.9394369580542.84054375321684
0.82153.3797687562892.64926543304384
0.825153.7980617054252.48152290674886
0.83154.1978390347022.33932579728791
0.835154.5829378640372.22353050123303
0.84154.9573446509772.13356474706245
0.845155.3250772841322.06836338236589
0.85155.6901213883172.02599206683262
0.855156.0564249895222.0048757728999
0.86156.4279541985412.00380317355978
0.865156.8088113739632.02181108228719
0.87157.2034130685012.05917202063525
0.875157.6167138361032.11703818128570
0.88158.0544403463842.19800055980578
0.885158.5232680790582.30620580432305
0.89159.0308358597762.44606399204991
0.895159.5854649571992.62141951275997
0.9160.1954495736532.83208349136438
0.905160.8678366178793.07144670326166
0.91161.6067296765283.32349400539087
0.915162.4113306735663.56259658193404
0.92163.2741389402593.75491797815368
0.925164.1798979456223.86340540730499
0.93165.1059394234093.8554930564513
0.935166.0244725736343.71147322019023
0.94166.9071216194743.4328347150211
0.945167.7317395668863.04692135337968
0.95168.4913703747422.60870368073559
0.955169.2051957851082.20190349194011
0.96169.9308940033991.95005074369528
0.965170.7757860619962.02818172690844
0.97171.8988782499472.59523748855115
0.975173.4878520188633.65519486616111
0.98175.6906438177324.9686087345455
0.985178.4943431111285.96083435760367
0.99181.5877047177315.86135448982857


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')