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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 30 Mar 2011 14:20:17 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Mar/30/t1301494707nv40h713agff8qd.htm/, Retrieved Fri, 10 May 2024 02:14:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119816, Retrieved Fri, 10 May 2024 02:14:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact219

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] [Verkoop Volvo per...] [2011-03-30 14:20:17] [a06f4363f28b5dbca9773a4122c1ace3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2435
1379
1511
2021
1614
1680
1630
870
1877
2428
1711
127
3192
1934
2075
1700
1198
1582
1705
911
1817
1168
920
84
2254
1485
1886
1358
1167
1781
1218
779
1418
1641
1196
132
2926
1777
2094
1648
1646
1537
1917
977
1475
2124
1209
135
2917
1981
1398
1171
903
1390
1280
781
1828
1631
1063
186
2275
1342
1070
950
1121
1305
1586
548
1225
1419
880
124
2044
1143
897
1264
1326
1529
1373
587
1137
1426
1016
176

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ www.wessa.org

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119816&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119816&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119816&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 time1 seconds
R Server'Gwilym Jenkins' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.88576071381929.4385801530336
0.02113.90520044919321.7504698183886
0.03131.06084998406831.7788583967306
0.04152.44995300349261.611604512525
0.05184.452269019004106.035762320631
0.06231.369211570551157.205479343116
0.07293.832205259694204.463521406183
0.08368.853262784515237.973471072324
0.09450.937819226218252.220217864574
0.1533.759193080635247.211309389088
0.11611.750828868998227.27197933991
0.12681.113836583566198.67951633351
0.13740.095235207658167.508897866689
0.14788.703819945719138.401108364483
0.15828.153573589275114.256915329082
0.16860.28247764942796.4589545911734
0.17887.08439536149485.2126963836069
0.18910.39363235281879.7910355223002
0.19931.70683209191878.7927027263389
0.2952.10926837715380.524691801309
0.21972.27432616602783.3975318504377
0.22992.51169059028386.142358737152
0.231012.8451064357287.8808158982369
0.241033.1037690588488.1201219578109
0.251053.0138018294986.7228667690912
0.261072.2790519483283.8327024380644
0.271090.6439130101179.802514582869
0.281107.9346845124275.1124678050004
0.291124.0794816720470.2819700770582
0.31139.1093954617665.8053819851503
0.311153.1452274524262.090820405665
0.321166.3747212890259.4303002929328
0.331179.0250127005157.965739603429
0.341191.334335371257.6865500031779
0.351203.5261431350658.4456101679788
0.361215.7879433147859.9892581858984
0.371228.2563712324762.0025575745086
0.381241.0093648052864.1617505893271
0.391254.0656637747466.160613038775
0.41267.3912098220567.7505262126236
0.411280.9113595131368.7637319752141
0.421294.5272012150569.1274033325994
0.431308.133792298668.8704356726814
0.441321.6379104060768.1151072216602
0.451334.9730113743667.0454877396647
0.461348.1095119751165.898619498842
0.471361.0592060785864.9228253629792
0.481373.873465655464.3330151012941
0.491386.6357377372564.2954515534243
0.51399.4495949005464.8797341739537
0.511412.4241271430566.0712861118986
0.521425.6587152980867.7585620883591
0.531439.2291857555569.7597582974178
0.541453.1770456828471.8507105820435
0.551467.5030093007973.7872606804377
0.561482.1654452410175.347740835023
0.571497.0837999219676.3402651592671
0.581512.1465561491676.6273654505114
0.591527.2229030724476.1447974412291
0.61542.1770147889274.9034124836805
0.611556.8836278151672.9881352404741
0.621571.243445775670.5657106845004
0.631585.1967896491167.863887954376
0.641598.7339027517565.1622520835322
0.651611.9004850568762.7617133286462
0.661624.7974315688860.9579041695524
0.671637.5743897774859.9958424775999
0.681650.4175611593560.0383910218364
0.691663.5330160066961.1297815681724
0.71677.1275097985263.2008895190102
0.711691.3892475044866.0678037326024
0.721706.4711611116869.481028034838
0.731722.4790255228473.1490774270734
0.741739.4661550841876.7843537301124
0.751757.4355265170880.1339538202228
0.761776.3490099577983.0192299541578
0.771796.1420655184685.3480560376966
0.781816.7410175591587.1205522306936
0.791838.0792746448488.4144688895463
0.81860.1091851532389.3545860009285
0.811882.808113634690.0662289505245
0.821906.1808506901690.6417064019923
0.831930.264761995891.1368215023944
0.841955.147074341391.6280098152912
0.851981.0025478013192.3074009100808
0.862008.1524685405993.6087376084116
0.872037.1339367427196.2485692830617
0.882068.75954693047101.108716127197
0.892104.15522182279108.919705164866
0.92144.79852780879119.991915490587
0.912192.62602146067134.374310811115
0.922250.2644444817152.645672633251
0.932321.24548740115176.702187402188
0.942409.6704327483208.420542788567
0.952518.64370707953243.918005272963
0.962647.8656116521267.471053967007
0.972792.8640735019258.912892578235
0.982946.60131839725225.058282190917
0.993093.75300239136223.393522735756

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.885760713819 & 29.4385801530336 \tabularnewline
0.02 & 113.905200449193 & 21.7504698183886 \tabularnewline
0.03 & 131.060849984068 & 31.7788583967306 \tabularnewline
0.04 & 152.449953003492 & 61.611604512525 \tabularnewline
0.05 & 184.452269019004 & 106.035762320631 \tabularnewline
0.06 & 231.369211570551 & 157.205479343116 \tabularnewline
0.07 & 293.832205259694 & 204.463521406183 \tabularnewline
0.08 & 368.853262784515 & 237.973471072324 \tabularnewline
0.09 & 450.937819226218 & 252.220217864574 \tabularnewline
0.1 & 533.759193080635 & 247.211309389088 \tabularnewline
0.11 & 611.750828868998 & 227.27197933991 \tabularnewline
0.12 & 681.113836583566 & 198.67951633351 \tabularnewline
0.13 & 740.095235207658 & 167.508897866689 \tabularnewline
0.14 & 788.703819945719 & 138.401108364483 \tabularnewline
0.15 & 828.153573589275 & 114.256915329082 \tabularnewline
0.16 & 860.282477649427 & 96.4589545911734 \tabularnewline
0.17 & 887.084395361494 & 85.2126963836069 \tabularnewline
0.18 & 910.393632352818 & 79.7910355223002 \tabularnewline
0.19 & 931.706832091918 & 78.7927027263389 \tabularnewline
0.2 & 952.109268377153 & 80.524691801309 \tabularnewline
0.21 & 972.274326166027 & 83.3975318504377 \tabularnewline
0.22 & 992.511690590283 & 86.142358737152 \tabularnewline
0.23 & 1012.84510643572 & 87.8808158982369 \tabularnewline
0.24 & 1033.10376905884 & 88.1201219578109 \tabularnewline
0.25 & 1053.01380182949 & 86.7228667690912 \tabularnewline
0.26 & 1072.27905194832 & 83.8327024380644 \tabularnewline
0.27 & 1090.64391301011 & 79.802514582869 \tabularnewline
0.28 & 1107.93468451242 & 75.1124678050004 \tabularnewline
0.29 & 1124.07948167204 & 70.2819700770582 \tabularnewline
0.3 & 1139.10939546176 & 65.8053819851503 \tabularnewline
0.31 & 1153.14522745242 & 62.090820405665 \tabularnewline
0.32 & 1166.37472128902 & 59.4303002929328 \tabularnewline
0.33 & 1179.02501270051 & 57.965739603429 \tabularnewline
0.34 & 1191.3343353712 & 57.6865500031779 \tabularnewline
0.35 & 1203.52614313506 & 58.4456101679788 \tabularnewline
0.36 & 1215.78794331478 & 59.9892581858984 \tabularnewline
0.37 & 1228.25637123247 & 62.0025575745086 \tabularnewline
0.38 & 1241.00936480528 & 64.1617505893271 \tabularnewline
0.39 & 1254.06566377474 & 66.160613038775 \tabularnewline
0.4 & 1267.39120982205 & 67.7505262126236 \tabularnewline
0.41 & 1280.91135951313 & 68.7637319752141 \tabularnewline
0.42 & 1294.52720121505 & 69.1274033325994 \tabularnewline
0.43 & 1308.1337922986 & 68.8704356726814 \tabularnewline
0.44 & 1321.63791040607 & 68.1151072216602 \tabularnewline
0.45 & 1334.97301137436 & 67.0454877396647 \tabularnewline
0.46 & 1348.10951197511 & 65.898619498842 \tabularnewline
0.47 & 1361.05920607858 & 64.9228253629792 \tabularnewline
0.48 & 1373.8734656554 & 64.3330151012941 \tabularnewline
0.49 & 1386.63573773725 & 64.2954515534243 \tabularnewline
0.5 & 1399.44959490054 & 64.8797341739537 \tabularnewline
0.51 & 1412.42412714305 & 66.0712861118986 \tabularnewline
0.52 & 1425.65871529808 & 67.7585620883591 \tabularnewline
0.53 & 1439.22918575555 & 69.7597582974178 \tabularnewline
0.54 & 1453.17704568284 & 71.8507105820435 \tabularnewline
0.55 & 1467.50300930079 & 73.7872606804377 \tabularnewline
0.56 & 1482.16544524101 & 75.347740835023 \tabularnewline
0.57 & 1497.08379992196 & 76.3402651592671 \tabularnewline
0.58 & 1512.14655614916 & 76.6273654505114 \tabularnewline
0.59 & 1527.22290307244 & 76.1447974412291 \tabularnewline
0.6 & 1542.17701478892 & 74.9034124836805 \tabularnewline
0.61 & 1556.88362781516 & 72.9881352404741 \tabularnewline
0.62 & 1571.2434457756 & 70.5657106845004 \tabularnewline
0.63 & 1585.19678964911 & 67.863887954376 \tabularnewline
0.64 & 1598.73390275175 & 65.1622520835322 \tabularnewline
0.65 & 1611.90048505687 & 62.7617133286462 \tabularnewline
0.66 & 1624.79743156888 & 60.9579041695524 \tabularnewline
0.67 & 1637.57438977748 & 59.9958424775999 \tabularnewline
0.68 & 1650.41756115935 & 60.0383910218364 \tabularnewline
0.69 & 1663.53301600669 & 61.1297815681724 \tabularnewline
0.7 & 1677.12750979852 & 63.2008895190102 \tabularnewline
0.71 & 1691.38924750448 & 66.0678037326024 \tabularnewline
0.72 & 1706.47116111168 & 69.481028034838 \tabularnewline
0.73 & 1722.47902552284 & 73.1490774270734 \tabularnewline
0.74 & 1739.46615508418 & 76.7843537301124 \tabularnewline
0.75 & 1757.43552651708 & 80.1339538202228 \tabularnewline
0.76 & 1776.34900995779 & 83.0192299541578 \tabularnewline
0.77 & 1796.14206551846 & 85.3480560376966 \tabularnewline
0.78 & 1816.74101755915 & 87.1205522306936 \tabularnewline
0.79 & 1838.07927464484 & 88.4144688895463 \tabularnewline
0.8 & 1860.10918515323 & 89.3545860009285 \tabularnewline
0.81 & 1882.8081136346 & 90.0662289505245 \tabularnewline
0.82 & 1906.18085069016 & 90.6417064019923 \tabularnewline
0.83 & 1930.2647619958 & 91.1368215023944 \tabularnewline
0.84 & 1955.1470743413 & 91.6280098152912 \tabularnewline
0.85 & 1981.00254780131 & 92.3074009100808 \tabularnewline
0.86 & 2008.15246854059 & 93.6087376084116 \tabularnewline
0.87 & 2037.13393674271 & 96.2485692830617 \tabularnewline
0.88 & 2068.75954693047 & 101.108716127197 \tabularnewline
0.89 & 2104.15522182279 & 108.919705164866 \tabularnewline
0.9 & 2144.79852780879 & 119.991915490587 \tabularnewline
0.91 & 2192.62602146067 & 134.374310811115 \tabularnewline
0.92 & 2250.2644444817 & 152.645672633251 \tabularnewline
0.93 & 2321.24548740115 & 176.702187402188 \tabularnewline
0.94 & 2409.6704327483 & 208.420542788567 \tabularnewline
0.95 & 2518.64370707953 & 243.918005272963 \tabularnewline
0.96 & 2647.8656116521 & 267.471053967007 \tabularnewline
0.97 & 2792.8640735019 & 258.912892578235 \tabularnewline
0.98 & 2946.60131839725 & 225.058282190917 \tabularnewline
0.99 & 3093.75300239136 & 223.393522735756 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119816&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]96.885760713819[/C][C]29.4385801530336[/C][/ROW]
[ROW][C]0.02[/C][C]113.905200449193[/C][C]21.7504698183886[/C][/ROW]
[ROW][C]0.03[/C][C]131.060849984068[/C][C]31.7788583967306[/C][/ROW]
[ROW][C]0.04[/C][C]152.449953003492[/C][C]61.611604512525[/C][/ROW]
[ROW][C]0.05[/C][C]184.452269019004[/C][C]106.035762320631[/C][/ROW]
[ROW][C]0.06[/C][C]231.369211570551[/C][C]157.205479343116[/C][/ROW]
[ROW][C]0.07[/C][C]293.832205259694[/C][C]204.463521406183[/C][/ROW]
[ROW][C]0.08[/C][C]368.853262784515[/C][C]237.973471072324[/C][/ROW]
[ROW][C]0.09[/C][C]450.937819226218[/C][C]252.220217864574[/C][/ROW]
[ROW][C]0.1[/C][C]533.759193080635[/C][C]247.211309389088[/C][/ROW]
[ROW][C]0.11[/C][C]611.750828868998[/C][C]227.27197933991[/C][/ROW]
[ROW][C]0.12[/C][C]681.113836583566[/C][C]198.67951633351[/C][/ROW]
[ROW][C]0.13[/C][C]740.095235207658[/C][C]167.508897866689[/C][/ROW]
[ROW][C]0.14[/C][C]788.703819945719[/C][C]138.401108364483[/C][/ROW]
[ROW][C]0.15[/C][C]828.153573589275[/C][C]114.256915329082[/C][/ROW]
[ROW][C]0.16[/C][C]860.282477649427[/C][C]96.4589545911734[/C][/ROW]
[ROW][C]0.17[/C][C]887.084395361494[/C][C]85.2126963836069[/C][/ROW]
[ROW][C]0.18[/C][C]910.393632352818[/C][C]79.7910355223002[/C][/ROW]
[ROW][C]0.19[/C][C]931.706832091918[/C][C]78.7927027263389[/C][/ROW]
[ROW][C]0.2[/C][C]952.109268377153[/C][C]80.524691801309[/C][/ROW]
[ROW][C]0.21[/C][C]972.274326166027[/C][C]83.3975318504377[/C][/ROW]
[ROW][C]0.22[/C][C]992.511690590283[/C][C]86.142358737152[/C][/ROW]
[ROW][C]0.23[/C][C]1012.84510643572[/C][C]87.8808158982369[/C][/ROW]
[ROW][C]0.24[/C][C]1033.10376905884[/C][C]88.1201219578109[/C][/ROW]
[ROW][C]0.25[/C][C]1053.01380182949[/C][C]86.7228667690912[/C][/ROW]
[ROW][C]0.26[/C][C]1072.27905194832[/C][C]83.8327024380644[/C][/ROW]
[ROW][C]0.27[/C][C]1090.64391301011[/C][C]79.802514582869[/C][/ROW]
[ROW][C]0.28[/C][C]1107.93468451242[/C][C]75.1124678050004[/C][/ROW]
[ROW][C]0.29[/C][C]1124.07948167204[/C][C]70.2819700770582[/C][/ROW]
[ROW][C]0.3[/C][C]1139.10939546176[/C][C]65.8053819851503[/C][/ROW]
[ROW][C]0.31[/C][C]1153.14522745242[/C][C]62.090820405665[/C][/ROW]
[ROW][C]0.32[/C][C]1166.37472128902[/C][C]59.4303002929328[/C][/ROW]
[ROW][C]0.33[/C][C]1179.02501270051[/C][C]57.965739603429[/C][/ROW]
[ROW][C]0.34[/C][C]1191.3343353712[/C][C]57.6865500031779[/C][/ROW]
[ROW][C]0.35[/C][C]1203.52614313506[/C][C]58.4456101679788[/C][/ROW]
[ROW][C]0.36[/C][C]1215.78794331478[/C][C]59.9892581858984[/C][/ROW]
[ROW][C]0.37[/C][C]1228.25637123247[/C][C]62.0025575745086[/C][/ROW]
[ROW][C]0.38[/C][C]1241.00936480528[/C][C]64.1617505893271[/C][/ROW]
[ROW][C]0.39[/C][C]1254.06566377474[/C][C]66.160613038775[/C][/ROW]
[ROW][C]0.4[/C][C]1267.39120982205[/C][C]67.7505262126236[/C][/ROW]
[ROW][C]0.41[/C][C]1280.91135951313[/C][C]68.7637319752141[/C][/ROW]
[ROW][C]0.42[/C][C]1294.52720121505[/C][C]69.1274033325994[/C][/ROW]
[ROW][C]0.43[/C][C]1308.1337922986[/C][C]68.8704356726814[/C][/ROW]
[ROW][C]0.44[/C][C]1321.63791040607[/C][C]68.1151072216602[/C][/ROW]
[ROW][C]0.45[/C][C]1334.97301137436[/C][C]67.0454877396647[/C][/ROW]
[ROW][C]0.46[/C][C]1348.10951197511[/C][C]65.898619498842[/C][/ROW]
[ROW][C]0.47[/C][C]1361.05920607858[/C][C]64.9228253629792[/C][/ROW]
[ROW][C]0.48[/C][C]1373.8734656554[/C][C]64.3330151012941[/C][/ROW]
[ROW][C]0.49[/C][C]1386.63573773725[/C][C]64.2954515534243[/C][/ROW]
[ROW][C]0.5[/C][C]1399.44959490054[/C][C]64.8797341739537[/C][/ROW]
[ROW][C]0.51[/C][C]1412.42412714305[/C][C]66.0712861118986[/C][/ROW]
[ROW][C]0.52[/C][C]1425.65871529808[/C][C]67.7585620883591[/C][/ROW]
[ROW][C]0.53[/C][C]1439.22918575555[/C][C]69.7597582974178[/C][/ROW]
[ROW][C]0.54[/C][C]1453.17704568284[/C][C]71.8507105820435[/C][/ROW]
[ROW][C]0.55[/C][C]1467.50300930079[/C][C]73.7872606804377[/C][/ROW]
[ROW][C]0.56[/C][C]1482.16544524101[/C][C]75.347740835023[/C][/ROW]
[ROW][C]0.57[/C][C]1497.08379992196[/C][C]76.3402651592671[/C][/ROW]
[ROW][C]0.58[/C][C]1512.14655614916[/C][C]76.6273654505114[/C][/ROW]
[ROW][C]0.59[/C][C]1527.22290307244[/C][C]76.1447974412291[/C][/ROW]
[ROW][C]0.6[/C][C]1542.17701478892[/C][C]74.9034124836805[/C][/ROW]
[ROW][C]0.61[/C][C]1556.88362781516[/C][C]72.9881352404741[/C][/ROW]
[ROW][C]0.62[/C][C]1571.2434457756[/C][C]70.5657106845004[/C][/ROW]
[ROW][C]0.63[/C][C]1585.19678964911[/C][C]67.863887954376[/C][/ROW]
[ROW][C]0.64[/C][C]1598.73390275175[/C][C]65.1622520835322[/C][/ROW]
[ROW][C]0.65[/C][C]1611.90048505687[/C][C]62.7617133286462[/C][/ROW]
[ROW][C]0.66[/C][C]1624.79743156888[/C][C]60.9579041695524[/C][/ROW]
[ROW][C]0.67[/C][C]1637.57438977748[/C][C]59.9958424775999[/C][/ROW]
[ROW][C]0.68[/C][C]1650.41756115935[/C][C]60.0383910218364[/C][/ROW]
[ROW][C]0.69[/C][C]1663.53301600669[/C][C]61.1297815681724[/C][/ROW]
[ROW][C]0.7[/C][C]1677.12750979852[/C][C]63.2008895190102[/C][/ROW]
[ROW][C]0.71[/C][C]1691.38924750448[/C][C]66.0678037326024[/C][/ROW]
[ROW][C]0.72[/C][C]1706.47116111168[/C][C]69.481028034838[/C][/ROW]
[ROW][C]0.73[/C][C]1722.47902552284[/C][C]73.1490774270734[/C][/ROW]
[ROW][C]0.74[/C][C]1739.46615508418[/C][C]76.7843537301124[/C][/ROW]
[ROW][C]0.75[/C][C]1757.43552651708[/C][C]80.1339538202228[/C][/ROW]
[ROW][C]0.76[/C][C]1776.34900995779[/C][C]83.0192299541578[/C][/ROW]
[ROW][C]0.77[/C][C]1796.14206551846[/C][C]85.3480560376966[/C][/ROW]
[ROW][C]0.78[/C][C]1816.74101755915[/C][C]87.1205522306936[/C][/ROW]
[ROW][C]0.79[/C][C]1838.07927464484[/C][C]88.4144688895463[/C][/ROW]
[ROW][C]0.8[/C][C]1860.10918515323[/C][C]89.3545860009285[/C][/ROW]
[ROW][C]0.81[/C][C]1882.8081136346[/C][C]90.0662289505245[/C][/ROW]
[ROW][C]0.82[/C][C]1906.18085069016[/C][C]90.6417064019923[/C][/ROW]
[ROW][C]0.83[/C][C]1930.2647619958[/C][C]91.1368215023944[/C][/ROW]
[ROW][C]0.84[/C][C]1955.1470743413[/C][C]91.6280098152912[/C][/ROW]
[ROW][C]0.85[/C][C]1981.00254780131[/C][C]92.3074009100808[/C][/ROW]
[ROW][C]0.86[/C][C]2008.15246854059[/C][C]93.6087376084116[/C][/ROW]
[ROW][C]0.87[/C][C]2037.13393674271[/C][C]96.2485692830617[/C][/ROW]
[ROW][C]0.88[/C][C]2068.75954693047[/C][C]101.108716127197[/C][/ROW]
[ROW][C]0.89[/C][C]2104.15522182279[/C][C]108.919705164866[/C][/ROW]
[ROW][C]0.9[/C][C]2144.79852780879[/C][C]119.991915490587[/C][/ROW]
[ROW][C]0.91[/C][C]2192.62602146067[/C][C]134.374310811115[/C][/ROW]
[ROW][C]0.92[/C][C]2250.2644444817[/C][C]152.645672633251[/C][/ROW]
[ROW][C]0.93[/C][C]2321.24548740115[/C][C]176.702187402188[/C][/ROW]
[ROW][C]0.94[/C][C]2409.6704327483[/C][C]208.420542788567[/C][/ROW]
[ROW][C]0.95[/C][C]2518.64370707953[/C][C]243.918005272963[/C][/ROW]
[ROW][C]0.96[/C][C]2647.8656116521[/C][C]267.471053967007[/C][/ROW]
[ROW][C]0.97[/C][C]2792.8640735019[/C][C]258.912892578235[/C][/ROW]
[ROW][C]0.98[/C][C]2946.60131839725[/C][C]225.058282190917[/C][/ROW]
[ROW][C]0.99[/C][C]3093.75300239136[/C][C]223.393522735756[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119816&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119816&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
0.0196.88576071381929.4385801530336
0.02113.90520044919321.7504698183886
0.03131.06084998406831.7788583967306
0.04152.44995300349261.611604512525
0.05184.452269019004106.035762320631
0.06231.369211570551157.205479343116
0.07293.832205259694204.463521406183
0.08368.853262784515237.973471072324
0.09450.937819226218252.220217864574
0.1533.759193080635247.211309389088
0.11611.750828868998227.27197933991
0.12681.113836583566198.67951633351
0.13740.095235207658167.508897866689
0.14788.703819945719138.401108364483
0.15828.153573589275114.256915329082
0.16860.28247764942796.4589545911734
0.17887.08439536149485.2126963836069
0.18910.39363235281879.7910355223002
0.19931.70683209191878.7927027263389
0.2952.10926837715380.524691801309
0.21972.27432616602783.3975318504377
0.22992.51169059028386.142358737152
0.231012.8451064357287.8808158982369
0.241033.1037690588488.1201219578109
0.251053.0138018294986.7228667690912
0.261072.2790519483283.8327024380644
0.271090.6439130101179.802514582869
0.281107.9346845124275.1124678050004
0.291124.0794816720470.2819700770582
0.31139.1093954617665.8053819851503
0.311153.1452274524262.090820405665
0.321166.3747212890259.4303002929328
0.331179.0250127005157.965739603429
0.341191.334335371257.6865500031779
0.351203.5261431350658.4456101679788
0.361215.7879433147859.9892581858984
0.371228.2563712324762.0025575745086
0.381241.0093648052864.1617505893271
0.391254.0656637747466.160613038775
0.41267.3912098220567.7505262126236
0.411280.9113595131368.7637319752141
0.421294.5272012150569.1274033325994
0.431308.133792298668.8704356726814
0.441321.6379104060768.1151072216602
0.451334.9730113743667.0454877396647
0.461348.1095119751165.898619498842
0.471361.0592060785864.9228253629792
0.481373.873465655464.3330151012941
0.491386.6357377372564.2954515534243
0.51399.4495949005464.8797341739537
0.511412.4241271430566.0712861118986
0.521425.6587152980867.7585620883591
0.531439.2291857555569.7597582974178
0.541453.1770456828471.8507105820435
0.551467.5030093007973.7872606804377
0.561482.1654452410175.347740835023
0.571497.0837999219676.3402651592671
0.581512.1465561491676.6273654505114
0.591527.2229030724476.1447974412291
0.61542.1770147889274.9034124836805
0.611556.8836278151672.9881352404741
0.621571.243445775670.5657106845004
0.631585.1967896491167.863887954376
0.641598.7339027517565.1622520835322
0.651611.9004850568762.7617133286462
0.661624.7974315688860.9579041695524
0.671637.5743897774859.9958424775999
0.681650.4175611593560.0383910218364
0.691663.5330160066961.1297815681724
0.71677.1275097985263.2008895190102
0.711691.3892475044866.0678037326024
0.721706.4711611116869.481028034838
0.731722.4790255228473.1490774270734
0.741739.4661550841876.7843537301124
0.751757.4355265170880.1339538202228
0.761776.3490099577983.0192299541578
0.771796.1420655184685.3480560376966
0.781816.7410175591587.1205522306936
0.791838.0792746448488.4144688895463
0.81860.1091851532389.3545860009285
0.811882.808113634690.0662289505245
0.821906.1808506901690.6417064019923
0.831930.264761995891.1368215023944
0.841955.147074341391.6280098152912
0.851981.0025478013192.3074009100808
0.862008.1524685405993.6087376084116
0.872037.1339367427196.2485692830617
0.882068.75954693047101.108716127197
0.892104.15522182279108.919705164866
0.92144.79852780879119.991915490587
0.912192.62602146067134.374310811115
0.922250.2644444817152.645672633251
0.932321.24548740115176.702187402188
0.942409.6704327483208.420542788567
0.952518.64370707953243.918005272963
0.962647.8656116521267.471053967007
0.972792.8640735019258.912892578235
0.982946.60131839725225.058282190917
0.993093.75300239136223.393522735756


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')