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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 15 Dec 2015 17:47:15 +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/2015/Dec/15/t1450201978ojd7304ajds15ah.htm/, Retrieved Sat, 18 May 2024 13:52:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286544, Retrieved Sat, 18 May 2024 13:52:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

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] [] [2015-12-15 17:47:15] [9d441e5437781f0cd4d5053adc3d2c6c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
62065
61943
62361
62919
62881
62892
62591
62417
62172
63113
63077
62438
62384
62506
62935
64433
64533
64184
63911
63673
63290
64652
64516
63995
64536
64776
65144
65238
65421
65821
66298
66523
67143
68835
68984
69170
69844
70528
71979
73608
73508
73973
73899
73566
73859
75287
75308
74871
75337
75449
76211
79371
80224
81014
80253
79169
79214
79783
79523
77265
76986

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'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286544&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286544&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286544&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0161977.9384852289120.799145231821
0.0262034.5968416127128.947181354682
0.0362100.8035914337140.167957710493
0.0462167.5734858302145.720083365276
0.0562230.1600556307142.919611495146
0.0662286.7715908303135.283391671405
0.0762337.5245665223129.006077198803
0.0862383.796733502129.418624678429
0.0962427.6363656153138.479997015464
0.162471.159561803154.468971023123
0.1162516.0652846779174.026122916272
0.1262563.3827687345193.857513110331
0.1362613.467346527211.721091708757
0.1462666.1809209924226.703362974754
0.1562721.1604243091239.19218081112
0.1662778.0820099456250.694846432483
0.1762836.8537597304263.487553715998
0.1862897.7024314633279.704573273977
0.1962961.1515329191300.841734901821
0.263027.9129782287327.284473664726
0.2163098.7294233039358.158796282305
0.2263174.2083421083391.744131963201
0.2363254.6836383259425.812993823248
0.2463340.1293166031458.037986121989
0.2563430.1361686092486.007182897394
0.2663523.9497622914508.320538894439
0.2763620.5583837335523.788005784597
0.2863718.8138956666532.130041815599
0.2963817.5666661085533.740251868345
0.363915.7970479676529.926873244269
0.3164012.7293193658522.243081763679
0.3264107.9184770481512.96094977335
0.3364201.3049362834504.467569570495
0.3464293.2364070734499.392441407655
0.3564384.459613743500.207030764311
0.3664476.0869240595509.104231459455
0.3764569.5443069649527.884071171889
0.3864666.5073825751557.769923651786
0.3964768.8317745859599.611188718263
0.464878.4827173059653.496491986004
0.4164997.4671955533719.354579316433
0.4265127.7701736102796.662568333034
0.4365271.2950900121884.682500084613
0.4465429.8080779405982.548370092789
0.4565604.88546160441088.54578795448
0.4665797.86487388781201.51797111493
0.4766009.80148110011319.2796894346
0.4866241.43175409671439.80498504146
0.4966493.14744458411560.72014187422
0.566764.98155035151679.68451061472
0.5167056.60608558091794.53605077749
0.5267367.33886248111903.1882580446
0.5367696.15407909842003.80813843463
0.5468041.69031415042094.75530882886
0.5568402.25042231432174.3427165308
0.5668775.79116839872240.99055105902
0.5769159.90583727712292.70181072731
0.5869551.809287432327.46624920674
0.5969948.34014759052342.98427069455
0.670345.99710979382336.90831228701
0.6170741.0240346832307.55808123462
0.6271129.55139193182254.30135949379
0.6371507.79035351482177.46435403304
0.6471872.2629682212079.26119498352
0.6572220.04052351211963.37306519412
0.6672548.95579746631834.93585183419
0.6772857.75589015171700.20311753779
0.6873146.17143005551565.67579339185
0.6973414.89370507741437.59020440261
0.773665.47012634511321.33873294606
0.7173900.14554258741220.60449587135
0.7274121.68735672821137.61115417998
0.7374333.23256631431072.99508276184
0.7474538.18368859081026.73298344623
0.7574740.1600796092998.629380112083
0.7674942.9863222247988.861143995081
0.7775150.6768632662998.127089143923
0.7875367.3628702251027.21339548678
0.7975597.10882703981075.88282452871
0.875843.58535286551141.68983978218
0.8176109.60017573691219.35976948818
0.8276396.53634946171300.81593525728
0.8376703.7970463661375.38847062422
0.8477028.39727835781431.13119439494
0.8577364.85943658711456.28977703087
0.8677705.54577768091441.61671425435
0.8778041.48566964561382.39772115728
0.8878363.62981165751280.38703820802
0.8978664.31047554071144.22896221736
0.978938.5563304855988.719485981533
0.9179184.87844817831.956999113655
0.9279405.2942030602691.288012741427
0.9379604.7285046643577.960190091858
0.9479790.4109793483493.540760933506
0.9579972.0189223698432.228219549484
0.9680162.2362270017393.907463639541
0.9780374.5147249147400.958955892412
0.9880612.1462143162484.175202583838
0.9980847.7999528733625.628820470061

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 61977.9384852289 & 120.799145231821 \tabularnewline
0.02 & 62034.5968416127 & 128.947181354682 \tabularnewline
0.03 & 62100.8035914337 & 140.167957710493 \tabularnewline
0.04 & 62167.5734858302 & 145.720083365276 \tabularnewline
0.05 & 62230.1600556307 & 142.919611495146 \tabularnewline
0.06 & 62286.7715908303 & 135.283391671405 \tabularnewline
0.07 & 62337.5245665223 & 129.006077198803 \tabularnewline
0.08 & 62383.796733502 & 129.418624678429 \tabularnewline
0.09 & 62427.6363656153 & 138.479997015464 \tabularnewline
0.1 & 62471.159561803 & 154.468971023123 \tabularnewline
0.11 & 62516.0652846779 & 174.026122916272 \tabularnewline
0.12 & 62563.3827687345 & 193.857513110331 \tabularnewline
0.13 & 62613.467346527 & 211.721091708757 \tabularnewline
0.14 & 62666.1809209924 & 226.703362974754 \tabularnewline
0.15 & 62721.1604243091 & 239.19218081112 \tabularnewline
0.16 & 62778.0820099456 & 250.694846432483 \tabularnewline
0.17 & 62836.8537597304 & 263.487553715998 \tabularnewline
0.18 & 62897.7024314633 & 279.704573273977 \tabularnewline
0.19 & 62961.1515329191 & 300.841734901821 \tabularnewline
0.2 & 63027.9129782287 & 327.284473664726 \tabularnewline
0.21 & 63098.7294233039 & 358.158796282305 \tabularnewline
0.22 & 63174.2083421083 & 391.744131963201 \tabularnewline
0.23 & 63254.6836383259 & 425.812993823248 \tabularnewline
0.24 & 63340.1293166031 & 458.037986121989 \tabularnewline
0.25 & 63430.1361686092 & 486.007182897394 \tabularnewline
0.26 & 63523.9497622914 & 508.320538894439 \tabularnewline
0.27 & 63620.5583837335 & 523.788005784597 \tabularnewline
0.28 & 63718.8138956666 & 532.130041815599 \tabularnewline
0.29 & 63817.5666661085 & 533.740251868345 \tabularnewline
0.3 & 63915.7970479676 & 529.926873244269 \tabularnewline
0.31 & 64012.7293193658 & 522.243081763679 \tabularnewline
0.32 & 64107.9184770481 & 512.96094977335 \tabularnewline
0.33 & 64201.3049362834 & 504.467569570495 \tabularnewline
0.34 & 64293.2364070734 & 499.392441407655 \tabularnewline
0.35 & 64384.459613743 & 500.207030764311 \tabularnewline
0.36 & 64476.0869240595 & 509.104231459455 \tabularnewline
0.37 & 64569.5443069649 & 527.884071171889 \tabularnewline
0.38 & 64666.5073825751 & 557.769923651786 \tabularnewline
0.39 & 64768.8317745859 & 599.611188718263 \tabularnewline
0.4 & 64878.4827173059 & 653.496491986004 \tabularnewline
0.41 & 64997.4671955533 & 719.354579316433 \tabularnewline
0.42 & 65127.7701736102 & 796.662568333034 \tabularnewline
0.43 & 65271.2950900121 & 884.682500084613 \tabularnewline
0.44 & 65429.8080779405 & 982.548370092789 \tabularnewline
0.45 & 65604.8854616044 & 1088.54578795448 \tabularnewline
0.46 & 65797.8648738878 & 1201.51797111493 \tabularnewline
0.47 & 66009.8014811001 & 1319.2796894346 \tabularnewline
0.48 & 66241.4317540967 & 1439.80498504146 \tabularnewline
0.49 & 66493.1474445841 & 1560.72014187422 \tabularnewline
0.5 & 66764.9815503515 & 1679.68451061472 \tabularnewline
0.51 & 67056.6060855809 & 1794.53605077749 \tabularnewline
0.52 & 67367.3388624811 & 1903.1882580446 \tabularnewline
0.53 & 67696.1540790984 & 2003.80813843463 \tabularnewline
0.54 & 68041.6903141504 & 2094.75530882886 \tabularnewline
0.55 & 68402.2504223143 & 2174.3427165308 \tabularnewline
0.56 & 68775.7911683987 & 2240.99055105902 \tabularnewline
0.57 & 69159.9058372771 & 2292.70181072731 \tabularnewline
0.58 & 69551.80928743 & 2327.46624920674 \tabularnewline
0.59 & 69948.3401475905 & 2342.98427069455 \tabularnewline
0.6 & 70345.9971097938 & 2336.90831228701 \tabularnewline
0.61 & 70741.024034683 & 2307.55808123462 \tabularnewline
0.62 & 71129.5513919318 & 2254.30135949379 \tabularnewline
0.63 & 71507.7903535148 & 2177.46435403304 \tabularnewline
0.64 & 71872.262968221 & 2079.26119498352 \tabularnewline
0.65 & 72220.0405235121 & 1963.37306519412 \tabularnewline
0.66 & 72548.9557974663 & 1834.93585183419 \tabularnewline
0.67 & 72857.7558901517 & 1700.20311753779 \tabularnewline
0.68 & 73146.1714300555 & 1565.67579339185 \tabularnewline
0.69 & 73414.8937050774 & 1437.59020440261 \tabularnewline
0.7 & 73665.4701263451 & 1321.33873294606 \tabularnewline
0.71 & 73900.1455425874 & 1220.60449587135 \tabularnewline
0.72 & 74121.6873567282 & 1137.61115417998 \tabularnewline
0.73 & 74333.2325663143 & 1072.99508276184 \tabularnewline
0.74 & 74538.1836885908 & 1026.73298344623 \tabularnewline
0.75 & 74740.1600796092 & 998.629380112083 \tabularnewline
0.76 & 74942.9863222247 & 988.861143995081 \tabularnewline
0.77 & 75150.6768632662 & 998.127089143923 \tabularnewline
0.78 & 75367.362870225 & 1027.21339548678 \tabularnewline
0.79 & 75597.1088270398 & 1075.88282452871 \tabularnewline
0.8 & 75843.5853528655 & 1141.68983978218 \tabularnewline
0.81 & 76109.6001757369 & 1219.35976948818 \tabularnewline
0.82 & 76396.5363494617 & 1300.81593525728 \tabularnewline
0.83 & 76703.797046366 & 1375.38847062422 \tabularnewline
0.84 & 77028.3972783578 & 1431.13119439494 \tabularnewline
0.85 & 77364.8594365871 & 1456.28977703087 \tabularnewline
0.86 & 77705.5457776809 & 1441.61671425435 \tabularnewline
0.87 & 78041.4856696456 & 1382.39772115728 \tabularnewline
0.88 & 78363.6298116575 & 1280.38703820802 \tabularnewline
0.89 & 78664.3104755407 & 1144.22896221736 \tabularnewline
0.9 & 78938.5563304855 & 988.719485981533 \tabularnewline
0.91 & 79184.87844817 & 831.956999113655 \tabularnewline
0.92 & 79405.2942030602 & 691.288012741427 \tabularnewline
0.93 & 79604.7285046643 & 577.960190091858 \tabularnewline
0.94 & 79790.4109793483 & 493.540760933506 \tabularnewline
0.95 & 79972.0189223698 & 432.228219549484 \tabularnewline
0.96 & 80162.2362270017 & 393.907463639541 \tabularnewline
0.97 & 80374.5147249147 & 400.958955892412 \tabularnewline
0.98 & 80612.1462143162 & 484.175202583838 \tabularnewline
0.99 & 80847.7999528733 & 625.628820470061 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286544&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]61977.9384852289[/C][C]120.799145231821[/C][/ROW]
[ROW][C]0.02[/C][C]62034.5968416127[/C][C]128.947181354682[/C][/ROW]
[ROW][C]0.03[/C][C]62100.8035914337[/C][C]140.167957710493[/C][/ROW]
[ROW][C]0.04[/C][C]62167.5734858302[/C][C]145.720083365276[/C][/ROW]
[ROW][C]0.05[/C][C]62230.1600556307[/C][C]142.919611495146[/C][/ROW]
[ROW][C]0.06[/C][C]62286.7715908303[/C][C]135.283391671405[/C][/ROW]
[ROW][C]0.07[/C][C]62337.5245665223[/C][C]129.006077198803[/C][/ROW]
[ROW][C]0.08[/C][C]62383.796733502[/C][C]129.418624678429[/C][/ROW]
[ROW][C]0.09[/C][C]62427.6363656153[/C][C]138.479997015464[/C][/ROW]
[ROW][C]0.1[/C][C]62471.159561803[/C][C]154.468971023123[/C][/ROW]
[ROW][C]0.11[/C][C]62516.0652846779[/C][C]174.026122916272[/C][/ROW]
[ROW][C]0.12[/C][C]62563.3827687345[/C][C]193.857513110331[/C][/ROW]
[ROW][C]0.13[/C][C]62613.467346527[/C][C]211.721091708757[/C][/ROW]
[ROW][C]0.14[/C][C]62666.1809209924[/C][C]226.703362974754[/C][/ROW]
[ROW][C]0.15[/C][C]62721.1604243091[/C][C]239.19218081112[/C][/ROW]
[ROW][C]0.16[/C][C]62778.0820099456[/C][C]250.694846432483[/C][/ROW]
[ROW][C]0.17[/C][C]62836.8537597304[/C][C]263.487553715998[/C][/ROW]
[ROW][C]0.18[/C][C]62897.7024314633[/C][C]279.704573273977[/C][/ROW]
[ROW][C]0.19[/C][C]62961.1515329191[/C][C]300.841734901821[/C][/ROW]
[ROW][C]0.2[/C][C]63027.9129782287[/C][C]327.284473664726[/C][/ROW]
[ROW][C]0.21[/C][C]63098.7294233039[/C][C]358.158796282305[/C][/ROW]
[ROW][C]0.22[/C][C]63174.2083421083[/C][C]391.744131963201[/C][/ROW]
[ROW][C]0.23[/C][C]63254.6836383259[/C][C]425.812993823248[/C][/ROW]
[ROW][C]0.24[/C][C]63340.1293166031[/C][C]458.037986121989[/C][/ROW]
[ROW][C]0.25[/C][C]63430.1361686092[/C][C]486.007182897394[/C][/ROW]
[ROW][C]0.26[/C][C]63523.9497622914[/C][C]508.320538894439[/C][/ROW]
[ROW][C]0.27[/C][C]63620.5583837335[/C][C]523.788005784597[/C][/ROW]
[ROW][C]0.28[/C][C]63718.8138956666[/C][C]532.130041815599[/C][/ROW]
[ROW][C]0.29[/C][C]63817.5666661085[/C][C]533.740251868345[/C][/ROW]
[ROW][C]0.3[/C][C]63915.7970479676[/C][C]529.926873244269[/C][/ROW]
[ROW][C]0.31[/C][C]64012.7293193658[/C][C]522.243081763679[/C][/ROW]
[ROW][C]0.32[/C][C]64107.9184770481[/C][C]512.96094977335[/C][/ROW]
[ROW][C]0.33[/C][C]64201.3049362834[/C][C]504.467569570495[/C][/ROW]
[ROW][C]0.34[/C][C]64293.2364070734[/C][C]499.392441407655[/C][/ROW]
[ROW][C]0.35[/C][C]64384.459613743[/C][C]500.207030764311[/C][/ROW]
[ROW][C]0.36[/C][C]64476.0869240595[/C][C]509.104231459455[/C][/ROW]
[ROW][C]0.37[/C][C]64569.5443069649[/C][C]527.884071171889[/C][/ROW]
[ROW][C]0.38[/C][C]64666.5073825751[/C][C]557.769923651786[/C][/ROW]
[ROW][C]0.39[/C][C]64768.8317745859[/C][C]599.611188718263[/C][/ROW]
[ROW][C]0.4[/C][C]64878.4827173059[/C][C]653.496491986004[/C][/ROW]
[ROW][C]0.41[/C][C]64997.4671955533[/C][C]719.354579316433[/C][/ROW]
[ROW][C]0.42[/C][C]65127.7701736102[/C][C]796.662568333034[/C][/ROW]
[ROW][C]0.43[/C][C]65271.2950900121[/C][C]884.682500084613[/C][/ROW]
[ROW][C]0.44[/C][C]65429.8080779405[/C][C]982.548370092789[/C][/ROW]
[ROW][C]0.45[/C][C]65604.8854616044[/C][C]1088.54578795448[/C][/ROW]
[ROW][C]0.46[/C][C]65797.8648738878[/C][C]1201.51797111493[/C][/ROW]
[ROW][C]0.47[/C][C]66009.8014811001[/C][C]1319.2796894346[/C][/ROW]
[ROW][C]0.48[/C][C]66241.4317540967[/C][C]1439.80498504146[/C][/ROW]
[ROW][C]0.49[/C][C]66493.1474445841[/C][C]1560.72014187422[/C][/ROW]
[ROW][C]0.5[/C][C]66764.9815503515[/C][C]1679.68451061472[/C][/ROW]
[ROW][C]0.51[/C][C]67056.6060855809[/C][C]1794.53605077749[/C][/ROW]
[ROW][C]0.52[/C][C]67367.3388624811[/C][C]1903.1882580446[/C][/ROW]
[ROW][C]0.53[/C][C]67696.1540790984[/C][C]2003.80813843463[/C][/ROW]
[ROW][C]0.54[/C][C]68041.6903141504[/C][C]2094.75530882886[/C][/ROW]
[ROW][C]0.55[/C][C]68402.2504223143[/C][C]2174.3427165308[/C][/ROW]
[ROW][C]0.56[/C][C]68775.7911683987[/C][C]2240.99055105902[/C][/ROW]
[ROW][C]0.57[/C][C]69159.9058372771[/C][C]2292.70181072731[/C][/ROW]
[ROW][C]0.58[/C][C]69551.80928743[/C][C]2327.46624920674[/C][/ROW]
[ROW][C]0.59[/C][C]69948.3401475905[/C][C]2342.98427069455[/C][/ROW]
[ROW][C]0.6[/C][C]70345.9971097938[/C][C]2336.90831228701[/C][/ROW]
[ROW][C]0.61[/C][C]70741.024034683[/C][C]2307.55808123462[/C][/ROW]
[ROW][C]0.62[/C][C]71129.5513919318[/C][C]2254.30135949379[/C][/ROW]
[ROW][C]0.63[/C][C]71507.7903535148[/C][C]2177.46435403304[/C][/ROW]
[ROW][C]0.64[/C][C]71872.262968221[/C][C]2079.26119498352[/C][/ROW]
[ROW][C]0.65[/C][C]72220.0405235121[/C][C]1963.37306519412[/C][/ROW]
[ROW][C]0.66[/C][C]72548.9557974663[/C][C]1834.93585183419[/C][/ROW]
[ROW][C]0.67[/C][C]72857.7558901517[/C][C]1700.20311753779[/C][/ROW]
[ROW][C]0.68[/C][C]73146.1714300555[/C][C]1565.67579339185[/C][/ROW]
[ROW][C]0.69[/C][C]73414.8937050774[/C][C]1437.59020440261[/C][/ROW]
[ROW][C]0.7[/C][C]73665.4701263451[/C][C]1321.33873294606[/C][/ROW]
[ROW][C]0.71[/C][C]73900.1455425874[/C][C]1220.60449587135[/C][/ROW]
[ROW][C]0.72[/C][C]74121.6873567282[/C][C]1137.61115417998[/C][/ROW]
[ROW][C]0.73[/C][C]74333.2325663143[/C][C]1072.99508276184[/C][/ROW]
[ROW][C]0.74[/C][C]74538.1836885908[/C][C]1026.73298344623[/C][/ROW]
[ROW][C]0.75[/C][C]74740.1600796092[/C][C]998.629380112083[/C][/ROW]
[ROW][C]0.76[/C][C]74942.9863222247[/C][C]988.861143995081[/C][/ROW]
[ROW][C]0.77[/C][C]75150.6768632662[/C][C]998.127089143923[/C][/ROW]
[ROW][C]0.78[/C][C]75367.362870225[/C][C]1027.21339548678[/C][/ROW]
[ROW][C]0.79[/C][C]75597.1088270398[/C][C]1075.88282452871[/C][/ROW]
[ROW][C]0.8[/C][C]75843.5853528655[/C][C]1141.68983978218[/C][/ROW]
[ROW][C]0.81[/C][C]76109.6001757369[/C][C]1219.35976948818[/C][/ROW]
[ROW][C]0.82[/C][C]76396.5363494617[/C][C]1300.81593525728[/C][/ROW]
[ROW][C]0.83[/C][C]76703.797046366[/C][C]1375.38847062422[/C][/ROW]
[ROW][C]0.84[/C][C]77028.3972783578[/C][C]1431.13119439494[/C][/ROW]
[ROW][C]0.85[/C][C]77364.8594365871[/C][C]1456.28977703087[/C][/ROW]
[ROW][C]0.86[/C][C]77705.5457776809[/C][C]1441.61671425435[/C][/ROW]
[ROW][C]0.87[/C][C]78041.4856696456[/C][C]1382.39772115728[/C][/ROW]
[ROW][C]0.88[/C][C]78363.6298116575[/C][C]1280.38703820802[/C][/ROW]
[ROW][C]0.89[/C][C]78664.3104755407[/C][C]1144.22896221736[/C][/ROW]
[ROW][C]0.9[/C][C]78938.5563304855[/C][C]988.719485981533[/C][/ROW]
[ROW][C]0.91[/C][C]79184.87844817[/C][C]831.956999113655[/C][/ROW]
[ROW][C]0.92[/C][C]79405.2942030602[/C][C]691.288012741427[/C][/ROW]
[ROW][C]0.93[/C][C]79604.7285046643[/C][C]577.960190091858[/C][/ROW]
[ROW][C]0.94[/C][C]79790.4109793483[/C][C]493.540760933506[/C][/ROW]
[ROW][C]0.95[/C][C]79972.0189223698[/C][C]432.228219549484[/C][/ROW]
[ROW][C]0.96[/C][C]80162.2362270017[/C][C]393.907463639541[/C][/ROW]
[ROW][C]0.97[/C][C]80374.5147249147[/C][C]400.958955892412[/C][/ROW]
[ROW][C]0.98[/C][C]80612.1462143162[/C][C]484.175202583838[/C][/ROW]
[ROW][C]0.99[/C][C]80847.7999528733[/C][C]625.628820470061[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286544&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286544&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
0.0161977.9384852289120.799145231821
0.0262034.5968416127128.947181354682
0.0362100.8035914337140.167957710493
0.0462167.5734858302145.720083365276
0.0562230.1600556307142.919611495146
0.0662286.7715908303135.283391671405
0.0762337.5245665223129.006077198803
0.0862383.796733502129.418624678429
0.0962427.6363656153138.479997015464
0.162471.159561803154.468971023123
0.1162516.0652846779174.026122916272
0.1262563.3827687345193.857513110331
0.1362613.467346527211.721091708757
0.1462666.1809209924226.703362974754
0.1562721.1604243091239.19218081112
0.1662778.0820099456250.694846432483
0.1762836.8537597304263.487553715998
0.1862897.7024314633279.704573273977
0.1962961.1515329191300.841734901821
0.263027.9129782287327.284473664726
0.2163098.7294233039358.158796282305
0.2263174.2083421083391.744131963201
0.2363254.6836383259425.812993823248
0.2463340.1293166031458.037986121989
0.2563430.1361686092486.007182897394
0.2663523.9497622914508.320538894439
0.2763620.5583837335523.788005784597
0.2863718.8138956666532.130041815599
0.2963817.5666661085533.740251868345
0.363915.7970479676529.926873244269
0.3164012.7293193658522.243081763679
0.3264107.9184770481512.96094977335
0.3364201.3049362834504.467569570495
0.3464293.2364070734499.392441407655
0.3564384.459613743500.207030764311
0.3664476.0869240595509.104231459455
0.3764569.5443069649527.884071171889
0.3864666.5073825751557.769923651786
0.3964768.8317745859599.611188718263
0.464878.4827173059653.496491986004
0.4164997.4671955533719.354579316433
0.4265127.7701736102796.662568333034
0.4365271.2950900121884.682500084613
0.4465429.8080779405982.548370092789
0.4565604.88546160441088.54578795448
0.4665797.86487388781201.51797111493
0.4766009.80148110011319.2796894346
0.4866241.43175409671439.80498504146
0.4966493.14744458411560.72014187422
0.566764.98155035151679.68451061472
0.5167056.60608558091794.53605077749
0.5267367.33886248111903.1882580446
0.5367696.15407909842003.80813843463
0.5468041.69031415042094.75530882886
0.5568402.25042231432174.3427165308
0.5668775.79116839872240.99055105902
0.5769159.90583727712292.70181072731
0.5869551.809287432327.46624920674
0.5969948.34014759052342.98427069455
0.670345.99710979382336.90831228701
0.6170741.0240346832307.55808123462
0.6271129.55139193182254.30135949379
0.6371507.79035351482177.46435403304
0.6471872.2629682212079.26119498352
0.6572220.04052351211963.37306519412
0.6672548.95579746631834.93585183419
0.6772857.75589015171700.20311753779
0.6873146.17143005551565.67579339185
0.6973414.89370507741437.59020440261
0.773665.47012634511321.33873294606
0.7173900.14554258741220.60449587135
0.7274121.68735672821137.61115417998
0.7374333.23256631431072.99508276184
0.7474538.18368859081026.73298344623
0.7574740.1600796092998.629380112083
0.7674942.9863222247988.861143995081
0.7775150.6768632662998.127089143923
0.7875367.3628702251027.21339548678
0.7975597.10882703981075.88282452871
0.875843.58535286551141.68983978218
0.8176109.60017573691219.35976948818
0.8276396.53634946171300.81593525728
0.8376703.7970463661375.38847062422
0.8477028.39727835781431.13119439494
0.8577364.85943658711456.28977703087
0.8677705.54577768091441.61671425435
0.8778041.48566964561382.39772115728
0.8878363.62981165751280.38703820802
0.8978664.31047554071144.22896221736
0.978938.5563304855988.719485981533
0.9179184.87844817831.956999113655
0.9279405.2942030602691.288012741427
0.9379604.7285046643577.960190091858
0.9479790.4109793483493.540760933506
0.9579972.0189223698432.228219549484
0.9680162.2362270017393.907463639541
0.9780374.5147249147400.958955892412
0.9880612.1462143162484.175202583838
0.9980847.7999528733625.628820470061


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')