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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 computationTue, 17 Aug 2010 15:51:38 +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/2010/Aug/17/t128206026650p5ag9ezd83q18.htm/, Retrieved Sat, 27 Apr 2024 11:02:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79144, Retrieved Sat, 27 Apr 2024 11:02:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsmattias debbaut
Estimated Impact98

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] [harrell davis per...] [2010-08-17 15:51:38] [59fa324537f53fb6459bc6951db20f7b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
376
375
374
372
370
369
370
372
373
373
374
376
371
374
369
363
357
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348
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332
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326
321
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293
287
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264
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193
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167
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191
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143
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139
129
115
108
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116
108
135

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'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79144&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79144&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79144&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01106.9156525382082.13472968876915
0.02108.6913782450053.65180016451552
0.03111.3120801640936.1063778184631
0.04114.8040052443058.62525675069336
0.05119.05700209576110.7295480679752
0.06123.83553726473912.2327207205283
0.07128.88163039645813.1693944530328
0.08133.98862570029613.7127333649965
0.09139.02201092187214.0303869721084
0.1143.90471617127814.1811820796489
0.11148.59183879370314.1401805912903
0.12153.05467879963613.8971360150783
0.13157.28064193209513.5295578745612
0.14161.28220098789613.1995430352572
0.15165.10313030517913.0910180502184
0.16168.81443881293413.3262432526735
0.17172.50029380439513.9156931139776
0.18176.23984168964814.7729485159146
0.19180.09177450265815.7630936793768
0.2184.08587300724916.7527031321748
0.21188.22216327580317.6330893741457
0.22192.47581444271818.3268962932805
0.23196.80515430534718.7889570628600
0.24201.16070010641719.0048966659455
0.25205.49398194458218.9929616418589
0.26209.7654948708718.8057411112464
0.27213.95118217609618.5293251461127
0.28218.04667078757418.2738042086453
0.29222.06842341463218.1551967051654
0.3226.05127872391718.2705911300057
0.31230.04250654916618.6724373873771
0.32234.0932915240819.3535085515626
0.33238.24919153954820.247283280778
0.34242.54138512866121.2428818807983
0.35246.98035718680122.2082788439512
0.36251.55314816980423.0127851745361
0.37256.22456552048023.5467412834379
0.38260.9420040529123.7374174172433
0.39265.64289292077123.5572420369895
0.4270.26338057873323.0244118185925
0.41274.74673502828822.2025092310208
0.42279.05007735987421.1837701501196
0.43283.14844250388120.0776390809726
0.44287.03569495751518.9916747488801
0.45290.72241452183618.0143195892072
0.46294.23139428622117.202408880948
0.47297.59176175049316.5732647833999
0.48300.83288301594116.1070146719243
0.49303.97912890652215.7547648272044
0.5307.04631005755915.4530642785988
0.51310.04020078553415.1390910066630
0.52312.95715850630614.7625184289254
0.53315.78648792245814.2912039747377
0.54318.51395335898113.7172085361643
0.55321.12573187917513.0547534405214
0.56323.61211652483712.3379655746367
0.57325.97039357833411.6122214352913
0.58328.2064911304210.9316682695048
0.59330.33519214728710.3474197413519
0.6332.378898162819.90107622488504
0.61334.3651070265589.61914521205587
0.62336.3229259303519.50301749513061
0.63338.2790761085769.5310274357281
0.64340.2539479276329.65653211027203
0.65342.2583137921949.81691998120299
0.66344.2912741585549.94493111469892
0.67346.3398764661029.97531188702782
0.68348.3806047029659.85755436176343
0.69350.3826157007839.5628337238875
0.7352.3122559409079.08892092110949
0.71354.1381087026888.45844500561125
0.72355.8356729488267.71700594652451
0.73357.3908124986856.92378681250177
0.74358.8013413265286.14355831549177
0.75360.0764830869835.43459660238901
0.76361.2343771693834.83916148023975
0.77362.2982014506434.37773845605889
0.78363.2917546230924.04442920286895
0.79364.235428013933.81136395163223
0.8365.1433764005763.63776732186331
0.81366.0223904937863.48193212234780
0.82366.8725449942973.31206844161374
0.83367.689248773463.11158779550223
0.84368.4659828339002.87911687744216
0.85369.1968879892132.62473033734767
0.86369.8785052403012.36482753115194
0.87370.51032597052.11449626954427
0.88371.0942377229691.88324700389479
0.89371.6333057371731.67356510116605
0.9372.1305531437541.48189713050253
0.91372.5885476452431.30266930801315
0.92373.0106661954021.13286637879532
0.93373.4045212161270.978598099940108
0.94373.7863767085830.86253144739977
0.95374.1819988207330.819854748816687
0.96374.616202654220.854153140667142
0.97375.0867587393970.878621729474722
0.98375.5363741241040.741432516269367
0.99375.8629988187270.37489290709272

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 106.915652538208 & 2.13472968876915 \tabularnewline
0.02 & 108.691378245005 & 3.65180016451552 \tabularnewline
0.03 & 111.312080164093 & 6.1063778184631 \tabularnewline
0.04 & 114.804005244305 & 8.62525675069336 \tabularnewline
0.05 & 119.057002095761 & 10.7295480679752 \tabularnewline
0.06 & 123.835537264739 & 12.2327207205283 \tabularnewline
0.07 & 128.881630396458 & 13.1693944530328 \tabularnewline
0.08 & 133.988625700296 & 13.7127333649965 \tabularnewline
0.09 & 139.022010921872 & 14.0303869721084 \tabularnewline
0.1 & 143.904716171278 & 14.1811820796489 \tabularnewline
0.11 & 148.591838793703 & 14.1401805912903 \tabularnewline
0.12 & 153.054678799636 & 13.8971360150783 \tabularnewline
0.13 & 157.280641932095 & 13.5295578745612 \tabularnewline
0.14 & 161.282200987896 & 13.1995430352572 \tabularnewline
0.15 & 165.103130305179 & 13.0910180502184 \tabularnewline
0.16 & 168.814438812934 & 13.3262432526735 \tabularnewline
0.17 & 172.500293804395 & 13.9156931139776 \tabularnewline
0.18 & 176.239841689648 & 14.7729485159146 \tabularnewline
0.19 & 180.091774502658 & 15.7630936793768 \tabularnewline
0.2 & 184.085873007249 & 16.7527031321748 \tabularnewline
0.21 & 188.222163275803 & 17.6330893741457 \tabularnewline
0.22 & 192.475814442718 & 18.3268962932805 \tabularnewline
0.23 & 196.805154305347 & 18.7889570628600 \tabularnewline
0.24 & 201.160700106417 & 19.0048966659455 \tabularnewline
0.25 & 205.493981944582 & 18.9929616418589 \tabularnewline
0.26 & 209.76549487087 & 18.8057411112464 \tabularnewline
0.27 & 213.951182176096 & 18.5293251461127 \tabularnewline
0.28 & 218.046670787574 & 18.2738042086453 \tabularnewline
0.29 & 222.068423414632 & 18.1551967051654 \tabularnewline
0.3 & 226.051278723917 & 18.2705911300057 \tabularnewline
0.31 & 230.042506549166 & 18.6724373873771 \tabularnewline
0.32 & 234.09329152408 & 19.3535085515626 \tabularnewline
0.33 & 238.249191539548 & 20.247283280778 \tabularnewline
0.34 & 242.541385128661 & 21.2428818807983 \tabularnewline
0.35 & 246.980357186801 & 22.2082788439512 \tabularnewline
0.36 & 251.553148169804 & 23.0127851745361 \tabularnewline
0.37 & 256.224565520480 & 23.5467412834379 \tabularnewline
0.38 & 260.94200405291 & 23.7374174172433 \tabularnewline
0.39 & 265.642892920771 & 23.5572420369895 \tabularnewline
0.4 & 270.263380578733 & 23.0244118185925 \tabularnewline
0.41 & 274.746735028288 & 22.2025092310208 \tabularnewline
0.42 & 279.050077359874 & 21.1837701501196 \tabularnewline
0.43 & 283.148442503881 & 20.0776390809726 \tabularnewline
0.44 & 287.035694957515 & 18.9916747488801 \tabularnewline
0.45 & 290.722414521836 & 18.0143195892072 \tabularnewline
0.46 & 294.231394286221 & 17.202408880948 \tabularnewline
0.47 & 297.591761750493 & 16.5732647833999 \tabularnewline
0.48 & 300.832883015941 & 16.1070146719243 \tabularnewline
0.49 & 303.979128906522 & 15.7547648272044 \tabularnewline
0.5 & 307.046310057559 & 15.4530642785988 \tabularnewline
0.51 & 310.040200785534 & 15.1390910066630 \tabularnewline
0.52 & 312.957158506306 & 14.7625184289254 \tabularnewline
0.53 & 315.786487922458 & 14.2912039747377 \tabularnewline
0.54 & 318.513953358981 & 13.7172085361643 \tabularnewline
0.55 & 321.125731879175 & 13.0547534405214 \tabularnewline
0.56 & 323.612116524837 & 12.3379655746367 \tabularnewline
0.57 & 325.970393578334 & 11.6122214352913 \tabularnewline
0.58 & 328.20649113042 & 10.9316682695048 \tabularnewline
0.59 & 330.335192147287 & 10.3474197413519 \tabularnewline
0.6 & 332.37889816281 & 9.90107622488504 \tabularnewline
0.61 & 334.365107026558 & 9.61914521205587 \tabularnewline
0.62 & 336.322925930351 & 9.50301749513061 \tabularnewline
0.63 & 338.279076108576 & 9.5310274357281 \tabularnewline
0.64 & 340.253947927632 & 9.65653211027203 \tabularnewline
0.65 & 342.258313792194 & 9.81691998120299 \tabularnewline
0.66 & 344.291274158554 & 9.94493111469892 \tabularnewline
0.67 & 346.339876466102 & 9.97531188702782 \tabularnewline
0.68 & 348.380604702965 & 9.85755436176343 \tabularnewline
0.69 & 350.382615700783 & 9.5628337238875 \tabularnewline
0.7 & 352.312255940907 & 9.08892092110949 \tabularnewline
0.71 & 354.138108702688 & 8.45844500561125 \tabularnewline
0.72 & 355.835672948826 & 7.71700594652451 \tabularnewline
0.73 & 357.390812498685 & 6.92378681250177 \tabularnewline
0.74 & 358.801341326528 & 6.14355831549177 \tabularnewline
0.75 & 360.076483086983 & 5.43459660238901 \tabularnewline
0.76 & 361.234377169383 & 4.83916148023975 \tabularnewline
0.77 & 362.298201450643 & 4.37773845605889 \tabularnewline
0.78 & 363.291754623092 & 4.04442920286895 \tabularnewline
0.79 & 364.23542801393 & 3.81136395163223 \tabularnewline
0.8 & 365.143376400576 & 3.63776732186331 \tabularnewline
0.81 & 366.022390493786 & 3.48193212234780 \tabularnewline
0.82 & 366.872544994297 & 3.31206844161374 \tabularnewline
0.83 & 367.68924877346 & 3.11158779550223 \tabularnewline
0.84 & 368.465982833900 & 2.87911687744216 \tabularnewline
0.85 & 369.196887989213 & 2.62473033734767 \tabularnewline
0.86 & 369.878505240301 & 2.36482753115194 \tabularnewline
0.87 & 370.5103259705 & 2.11449626954427 \tabularnewline
0.88 & 371.094237722969 & 1.88324700389479 \tabularnewline
0.89 & 371.633305737173 & 1.67356510116605 \tabularnewline
0.9 & 372.130553143754 & 1.48189713050253 \tabularnewline
0.91 & 372.588547645243 & 1.30266930801315 \tabularnewline
0.92 & 373.010666195402 & 1.13286637879532 \tabularnewline
0.93 & 373.404521216127 & 0.978598099940108 \tabularnewline
0.94 & 373.786376708583 & 0.86253144739977 \tabularnewline
0.95 & 374.181998820733 & 0.819854748816687 \tabularnewline
0.96 & 374.61620265422 & 0.854153140667142 \tabularnewline
0.97 & 375.086758739397 & 0.878621729474722 \tabularnewline
0.98 & 375.536374124104 & 0.741432516269367 \tabularnewline
0.99 & 375.862998818727 & 0.37489290709272 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79144&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]106.915652538208[/C][C]2.13472968876915[/C][/ROW]
[ROW][C]0.02[/C][C]108.691378245005[/C][C]3.65180016451552[/C][/ROW]
[ROW][C]0.03[/C][C]111.312080164093[/C][C]6.1063778184631[/C][/ROW]
[ROW][C]0.04[/C][C]114.804005244305[/C][C]8.62525675069336[/C][/ROW]
[ROW][C]0.05[/C][C]119.057002095761[/C][C]10.7295480679752[/C][/ROW]
[ROW][C]0.06[/C][C]123.835537264739[/C][C]12.2327207205283[/C][/ROW]
[ROW][C]0.07[/C][C]128.881630396458[/C][C]13.1693944530328[/C][/ROW]
[ROW][C]0.08[/C][C]133.988625700296[/C][C]13.7127333649965[/C][/ROW]
[ROW][C]0.09[/C][C]139.022010921872[/C][C]14.0303869721084[/C][/ROW]
[ROW][C]0.1[/C][C]143.904716171278[/C][C]14.1811820796489[/C][/ROW]
[ROW][C]0.11[/C][C]148.591838793703[/C][C]14.1401805912903[/C][/ROW]
[ROW][C]0.12[/C][C]153.054678799636[/C][C]13.8971360150783[/C][/ROW]
[ROW][C]0.13[/C][C]157.280641932095[/C][C]13.5295578745612[/C][/ROW]
[ROW][C]0.14[/C][C]161.282200987896[/C][C]13.1995430352572[/C][/ROW]
[ROW][C]0.15[/C][C]165.103130305179[/C][C]13.0910180502184[/C][/ROW]
[ROW][C]0.16[/C][C]168.814438812934[/C][C]13.3262432526735[/C][/ROW]
[ROW][C]0.17[/C][C]172.500293804395[/C][C]13.9156931139776[/C][/ROW]
[ROW][C]0.18[/C][C]176.239841689648[/C][C]14.7729485159146[/C][/ROW]
[ROW][C]0.19[/C][C]180.091774502658[/C][C]15.7630936793768[/C][/ROW]
[ROW][C]0.2[/C][C]184.085873007249[/C][C]16.7527031321748[/C][/ROW]
[ROW][C]0.21[/C][C]188.222163275803[/C][C]17.6330893741457[/C][/ROW]
[ROW][C]0.22[/C][C]192.475814442718[/C][C]18.3268962932805[/C][/ROW]
[ROW][C]0.23[/C][C]196.805154305347[/C][C]18.7889570628600[/C][/ROW]
[ROW][C]0.24[/C][C]201.160700106417[/C][C]19.0048966659455[/C][/ROW]
[ROW][C]0.25[/C][C]205.493981944582[/C][C]18.9929616418589[/C][/ROW]
[ROW][C]0.26[/C][C]209.76549487087[/C][C]18.8057411112464[/C][/ROW]
[ROW][C]0.27[/C][C]213.951182176096[/C][C]18.5293251461127[/C][/ROW]
[ROW][C]0.28[/C][C]218.046670787574[/C][C]18.2738042086453[/C][/ROW]
[ROW][C]0.29[/C][C]222.068423414632[/C][C]18.1551967051654[/C][/ROW]
[ROW][C]0.3[/C][C]226.051278723917[/C][C]18.2705911300057[/C][/ROW]
[ROW][C]0.31[/C][C]230.042506549166[/C][C]18.6724373873771[/C][/ROW]
[ROW][C]0.32[/C][C]234.09329152408[/C][C]19.3535085515626[/C][/ROW]
[ROW][C]0.33[/C][C]238.249191539548[/C][C]20.247283280778[/C][/ROW]
[ROW][C]0.34[/C][C]242.541385128661[/C][C]21.2428818807983[/C][/ROW]
[ROW][C]0.35[/C][C]246.980357186801[/C][C]22.2082788439512[/C][/ROW]
[ROW][C]0.36[/C][C]251.553148169804[/C][C]23.0127851745361[/C][/ROW]
[ROW][C]0.37[/C][C]256.224565520480[/C][C]23.5467412834379[/C][/ROW]
[ROW][C]0.38[/C][C]260.94200405291[/C][C]23.7374174172433[/C][/ROW]
[ROW][C]0.39[/C][C]265.642892920771[/C][C]23.5572420369895[/C][/ROW]
[ROW][C]0.4[/C][C]270.263380578733[/C][C]23.0244118185925[/C][/ROW]
[ROW][C]0.41[/C][C]274.746735028288[/C][C]22.2025092310208[/C][/ROW]
[ROW][C]0.42[/C][C]279.050077359874[/C][C]21.1837701501196[/C][/ROW]
[ROW][C]0.43[/C][C]283.148442503881[/C][C]20.0776390809726[/C][/ROW]
[ROW][C]0.44[/C][C]287.035694957515[/C][C]18.9916747488801[/C][/ROW]
[ROW][C]0.45[/C][C]290.722414521836[/C][C]18.0143195892072[/C][/ROW]
[ROW][C]0.46[/C][C]294.231394286221[/C][C]17.202408880948[/C][/ROW]
[ROW][C]0.47[/C][C]297.591761750493[/C][C]16.5732647833999[/C][/ROW]
[ROW][C]0.48[/C][C]300.832883015941[/C][C]16.1070146719243[/C][/ROW]
[ROW][C]0.49[/C][C]303.979128906522[/C][C]15.7547648272044[/C][/ROW]
[ROW][C]0.5[/C][C]307.046310057559[/C][C]15.4530642785988[/C][/ROW]
[ROW][C]0.51[/C][C]310.040200785534[/C][C]15.1390910066630[/C][/ROW]
[ROW][C]0.52[/C][C]312.957158506306[/C][C]14.7625184289254[/C][/ROW]
[ROW][C]0.53[/C][C]315.786487922458[/C][C]14.2912039747377[/C][/ROW]
[ROW][C]0.54[/C][C]318.513953358981[/C][C]13.7172085361643[/C][/ROW]
[ROW][C]0.55[/C][C]321.125731879175[/C][C]13.0547534405214[/C][/ROW]
[ROW][C]0.56[/C][C]323.612116524837[/C][C]12.3379655746367[/C][/ROW]
[ROW][C]0.57[/C][C]325.970393578334[/C][C]11.6122214352913[/C][/ROW]
[ROW][C]0.58[/C][C]328.20649113042[/C][C]10.9316682695048[/C][/ROW]
[ROW][C]0.59[/C][C]330.335192147287[/C][C]10.3474197413519[/C][/ROW]
[ROW][C]0.6[/C][C]332.37889816281[/C][C]9.90107622488504[/C][/ROW]
[ROW][C]0.61[/C][C]334.365107026558[/C][C]9.61914521205587[/C][/ROW]
[ROW][C]0.62[/C][C]336.322925930351[/C][C]9.50301749513061[/C][/ROW]
[ROW][C]0.63[/C][C]338.279076108576[/C][C]9.5310274357281[/C][/ROW]
[ROW][C]0.64[/C][C]340.253947927632[/C][C]9.65653211027203[/C][/ROW]
[ROW][C]0.65[/C][C]342.258313792194[/C][C]9.81691998120299[/C][/ROW]
[ROW][C]0.66[/C][C]344.291274158554[/C][C]9.94493111469892[/C][/ROW]
[ROW][C]0.67[/C][C]346.339876466102[/C][C]9.97531188702782[/C][/ROW]
[ROW][C]0.68[/C][C]348.380604702965[/C][C]9.85755436176343[/C][/ROW]
[ROW][C]0.69[/C][C]350.382615700783[/C][C]9.5628337238875[/C][/ROW]
[ROW][C]0.7[/C][C]352.312255940907[/C][C]9.08892092110949[/C][/ROW]
[ROW][C]0.71[/C][C]354.138108702688[/C][C]8.45844500561125[/C][/ROW]
[ROW][C]0.72[/C][C]355.835672948826[/C][C]7.71700594652451[/C][/ROW]
[ROW][C]0.73[/C][C]357.390812498685[/C][C]6.92378681250177[/C][/ROW]
[ROW][C]0.74[/C][C]358.801341326528[/C][C]6.14355831549177[/C][/ROW]
[ROW][C]0.75[/C][C]360.076483086983[/C][C]5.43459660238901[/C][/ROW]
[ROW][C]0.76[/C][C]361.234377169383[/C][C]4.83916148023975[/C][/ROW]
[ROW][C]0.77[/C][C]362.298201450643[/C][C]4.37773845605889[/C][/ROW]
[ROW][C]0.78[/C][C]363.291754623092[/C][C]4.04442920286895[/C][/ROW]
[ROW][C]0.79[/C][C]364.23542801393[/C][C]3.81136395163223[/C][/ROW]
[ROW][C]0.8[/C][C]365.143376400576[/C][C]3.63776732186331[/C][/ROW]
[ROW][C]0.81[/C][C]366.022390493786[/C][C]3.48193212234780[/C][/ROW]
[ROW][C]0.82[/C][C]366.872544994297[/C][C]3.31206844161374[/C][/ROW]
[ROW][C]0.83[/C][C]367.68924877346[/C][C]3.11158779550223[/C][/ROW]
[ROW][C]0.84[/C][C]368.465982833900[/C][C]2.87911687744216[/C][/ROW]
[ROW][C]0.85[/C][C]369.196887989213[/C][C]2.62473033734767[/C][/ROW]
[ROW][C]0.86[/C][C]369.878505240301[/C][C]2.36482753115194[/C][/ROW]
[ROW][C]0.87[/C][C]370.5103259705[/C][C]2.11449626954427[/C][/ROW]
[ROW][C]0.88[/C][C]371.094237722969[/C][C]1.88324700389479[/C][/ROW]
[ROW][C]0.89[/C][C]371.633305737173[/C][C]1.67356510116605[/C][/ROW]
[ROW][C]0.9[/C][C]372.130553143754[/C][C]1.48189713050253[/C][/ROW]
[ROW][C]0.91[/C][C]372.588547645243[/C][C]1.30266930801315[/C][/ROW]
[ROW][C]0.92[/C][C]373.010666195402[/C][C]1.13286637879532[/C][/ROW]
[ROW][C]0.93[/C][C]373.404521216127[/C][C]0.978598099940108[/C][/ROW]
[ROW][C]0.94[/C][C]373.786376708583[/C][C]0.86253144739977[/C][/ROW]
[ROW][C]0.95[/C][C]374.181998820733[/C][C]0.819854748816687[/C][/ROW]
[ROW][C]0.96[/C][C]374.61620265422[/C][C]0.854153140667142[/C][/ROW]
[ROW][C]0.97[/C][C]375.086758739397[/C][C]0.878621729474722[/C][/ROW]
[ROW][C]0.98[/C][C]375.536374124104[/C][C]0.741432516269367[/C][/ROW]
[ROW][C]0.99[/C][C]375.862998818727[/C][C]0.37489290709272[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79144&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79144&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
0.01106.9156525382082.13472968876915
0.02108.6913782450053.65180016451552
0.03111.3120801640936.1063778184631
0.04114.8040052443058.62525675069336
0.05119.05700209576110.7295480679752
0.06123.83553726473912.2327207205283
0.07128.88163039645813.1693944530328
0.08133.98862570029613.7127333649965
0.09139.02201092187214.0303869721084
0.1143.90471617127814.1811820796489
0.11148.59183879370314.1401805912903
0.12153.05467879963613.8971360150783
0.13157.28064193209513.5295578745612
0.14161.28220098789613.1995430352572
0.15165.10313030517913.0910180502184
0.16168.81443881293413.3262432526735
0.17172.50029380439513.9156931139776
0.18176.23984168964814.7729485159146
0.19180.09177450265815.7630936793768
0.2184.08587300724916.7527031321748
0.21188.22216327580317.6330893741457
0.22192.47581444271818.3268962932805
0.23196.80515430534718.7889570628600
0.24201.16070010641719.0048966659455
0.25205.49398194458218.9929616418589
0.26209.7654948708718.8057411112464
0.27213.95118217609618.5293251461127
0.28218.04667078757418.2738042086453
0.29222.06842341463218.1551967051654
0.3226.05127872391718.2705911300057
0.31230.04250654916618.6724373873771
0.32234.0932915240819.3535085515626
0.33238.24919153954820.247283280778
0.34242.54138512866121.2428818807983
0.35246.98035718680122.2082788439512
0.36251.55314816980423.0127851745361
0.37256.22456552048023.5467412834379
0.38260.9420040529123.7374174172433
0.39265.64289292077123.5572420369895
0.4270.26338057873323.0244118185925
0.41274.74673502828822.2025092310208
0.42279.05007735987421.1837701501196
0.43283.14844250388120.0776390809726
0.44287.03569495751518.9916747488801
0.45290.72241452183618.0143195892072
0.46294.23139428622117.202408880948
0.47297.59176175049316.5732647833999
0.48300.83288301594116.1070146719243
0.49303.97912890652215.7547648272044
0.5307.04631005755915.4530642785988
0.51310.04020078553415.1390910066630
0.52312.95715850630614.7625184289254
0.53315.78648792245814.2912039747377
0.54318.51395335898113.7172085361643
0.55321.12573187917513.0547534405214
0.56323.61211652483712.3379655746367
0.57325.97039357833411.6122214352913
0.58328.2064911304210.9316682695048
0.59330.33519214728710.3474197413519
0.6332.378898162819.90107622488504
0.61334.3651070265589.61914521205587
0.62336.3229259303519.50301749513061
0.63338.2790761085769.5310274357281
0.64340.2539479276329.65653211027203
0.65342.2583137921949.81691998120299
0.66344.2912741585549.94493111469892
0.67346.3398764661029.97531188702782
0.68348.3806047029659.85755436176343
0.69350.3826157007839.5628337238875
0.7352.3122559409079.08892092110949
0.71354.1381087026888.45844500561125
0.72355.8356729488267.71700594652451
0.73357.3908124986856.92378681250177
0.74358.8013413265286.14355831549177
0.75360.0764830869835.43459660238901
0.76361.2343771693834.83916148023975
0.77362.2982014506434.37773845605889
0.78363.2917546230924.04442920286895
0.79364.235428013933.81136395163223
0.8365.1433764005763.63776732186331
0.81366.0223904937863.48193212234780
0.82366.8725449942973.31206844161374
0.83367.689248773463.11158779550223
0.84368.4659828339002.87911687744216
0.85369.1968879892132.62473033734767
0.86369.8785052403012.36482753115194
0.87370.51032597052.11449626954427
0.88371.0942377229691.88324700389479
0.89371.6333057371731.67356510116605
0.9372.1305531437541.48189713050253
0.91372.5885476452431.30266930801315
0.92373.0106661954021.13286637879532
0.93373.4045212161270.978598099940108
0.94373.7863767085830.86253144739977
0.95374.1819988207330.819854748816687
0.96374.616202654220.854153140667142
0.97375.0867587393970.878621729474722
0.98375.5363741241040.741432516269367
0.99375.8629988187270.37489290709272


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')