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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 computationMon, 29 Feb 2016 16:08:05 +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/2016/Feb/29/t1456762289iyt5q7l7omqc4fa.htm/, Retrieved Tue, 30 Apr 2024 11:30:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292997, Retrieved Tue, 30 Apr 2024 11:30:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102

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] [] [2016-02-29 16:08:05] [a8cf284534efea996701e15b66911faf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.09
93.77
94.44
94.91
94.78
94.51
94.36
96.6
96.72
96.71
97.44
97.83
98.92
97.98
98.76
99.76
99.87
100.09
100.07
99.46
100.4
101.25
102.29
102.1
105.91
108.95
110.07
109.92
109.87
110.54
110.79
110.32
110.76
110.24
110.27
110.11
110.39
111.05
110.85
110.24
108.7
109.93
109.53
109.83
107.86
104.61
103.61
103.11
102.59
102.91
101.94
101.8
102.25
102.6
102.49
102.13
100.76
100.86
101.12
100.74
99.99
99.39
99.52
99.21
99.38
99.37
99.38
99.26
99.36
99.2
98.53
98.65
99.15
100.17
99.98
100.07
99.94
100.05
99.13
98.74
98.64
98.44
98.81
98.88
99.63
100.08
100.07
100.55
99.98
99.89
99.86
99.61
100.12
100.24
100.1
99.86
97.99
97.57
98.28
97.97
97.99
97.84
97.33
96.7
96.79
96.76
96.23
96.29
96.46
97.23
97.59
97.13
97.37
96.12
96.96
96.7
97
97.15
96.51
96.68

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292997&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292997&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292997&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.9755184581111.10449449812078
0.0293.87179370783120.598098699913798
0.0394.39665793443970.464660844419077
0.0494.75975907419360.573678703275832
0.0595.11182014441670.69951786100901
0.0695.47285155310130.726997534158635
0.0795.80849643012030.647663655498948
0.0896.08612852445380.513275872878053
0.0996.29546928633370.379550435065665
0.196.44517850916170.276866855400262
0.1196.55177360022460.210686376348529
0.1296.63144930758130.175886641981457
0.1396.69696770020020.166218277165902
0.1496.75748919244410.175380799240644
0.1596.81915923373330.197033413463347
0.1696.88561204338270.224166251757656
0.1796.95841950022550.251736962936152
0.1897.03764428511130.276738492900128
0.1997.12247845566860.298210155886296
0.297.21181860092010.316015597129605
0.2197.30464614450840.331436474937159
0.2297.40018397360870.345147058458649
0.2397.4978935753820.35764420039107
0.2497.59740717656840.368837943403928
0.2597.69846050518650.379270393725657
0.2697.80084160034420.388819581865371
0.2797.90433861295820.39749329401251
0.2898.00867117766360.40490768001415
0.2998.11341494860280.410218577190297
0.398.21795204621440.412287539885395
0.3198.32148098403950.41018538976563
0.3298.42309560081750.40345207278777
0.3398.52190882415470.393038394445812
0.3498.61717499567330.379400216484239
0.3598.70836704124520.36398265450578
0.3698.79518939393140.347790201486277
0.3798.87753919756270.331385416254596
0.3898.95544954617490.315006081427806
0.3999.02904963390180.298945013835096
0.499.09855972577570.283602700472249
0.4199.16431463287650.269471075413412
0.4299.22679064596520.257367042638714
0.4399.2866059931590.248126717015758
0.4499.34447484367650.242327732301182
0.4599.40111425643510.239725584383491
0.4699.45712369970740.239284410346882
0.4799.5128698674310.240076309219564
0.4899.5684108944930.240240288753074
0.4999.62348374422480.237948444584973
0.599.67756072564470.232763260597178
0.5199.72996244207880.223928731340764
0.5299.78000148726670.211991582604406
0.5399.82712779039310.197673539111906
0.5499.87105253813850.182542037843637
0.5599.91183918229540.168287949741975
0.5699.94996142272760.156776868102184
0.5799.9863342938610.149781911978857
0.58100.0223236577380.149894557751151
0.59100.0597333241560.158724475728466
0.6100.1007620773890.177914622068118
0.61100.147919681860.208315089123953
0.62100.2038938282660.250201490433169
0.63100.2713679904570.302153139617163
0.64100.352799920590.363038194211991
0.65100.4501788357340.430036074111113
0.66100.5647858764380.499743457177815
0.67100.6969901844840.567816707175632
0.68100.8461258073510.630292630692704
0.69101.0105125208860.682763478477101
0.7101.1876988367120.722508129573625
0.71101.3750031697920.74873884476191
0.72101.5703933988570.765206041184317
0.73101.7736665502030.779785780415766
0.74101.9877718552510.807142036980569
0.75102.219978278070.865895267265827
0.76102.4824529894460.976347060108761
0.77102.7917421813211.15287997108087
0.78103.1667081081111.39760456019928
0.79103.6247650304041.6957281031135
0.8104.1768139385642.01332060574291
0.81104.8220069244432.30115640552683
0.82105.5440862668892.50365454330872
0.83106.3111204676722.57231514845043
0.84107.079681878142.48149945975578
0.85107.8029577541732.23838438201461
0.86108.4405615828851.88280559955083
0.87108.966810122351.4754816508399
0.88109.3746207081441.0801355377564
0.89109.6739299946040.74522364523542
0.9109.8858434314170.494676257068092
0.91110.0354383728040.328143926585849
0.92110.146340706420.230105931470931
0.93110.2386410715190.182806216534121
0.94110.3290606002390.173468888827711
0.95110.4301382144020.188111939814836
0.96110.5462861307530.201384234575022
0.97110.6713627748060.185293406532012
0.98110.7995473166650.143830278181656
0.99110.9382179935050.144837459668573

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.975518458111 & 1.10449449812078 \tabularnewline
0.02 & 93.8717937078312 & 0.598098699913798 \tabularnewline
0.03 & 94.3966579344397 & 0.464660844419077 \tabularnewline
0.04 & 94.7597590741936 & 0.573678703275832 \tabularnewline
0.05 & 95.1118201444167 & 0.69951786100901 \tabularnewline
0.06 & 95.4728515531013 & 0.726997534158635 \tabularnewline
0.07 & 95.8084964301203 & 0.647663655498948 \tabularnewline
0.08 & 96.0861285244538 & 0.513275872878053 \tabularnewline
0.09 & 96.2954692863337 & 0.379550435065665 \tabularnewline
0.1 & 96.4451785091617 & 0.276866855400262 \tabularnewline
0.11 & 96.5517736002246 & 0.210686376348529 \tabularnewline
0.12 & 96.6314493075813 & 0.175886641981457 \tabularnewline
0.13 & 96.6969677002002 & 0.166218277165902 \tabularnewline
0.14 & 96.7574891924441 & 0.175380799240644 \tabularnewline
0.15 & 96.8191592337333 & 0.197033413463347 \tabularnewline
0.16 & 96.8856120433827 & 0.224166251757656 \tabularnewline
0.17 & 96.9584195002255 & 0.251736962936152 \tabularnewline
0.18 & 97.0376442851113 & 0.276738492900128 \tabularnewline
0.19 & 97.1224784556686 & 0.298210155886296 \tabularnewline
0.2 & 97.2118186009201 & 0.316015597129605 \tabularnewline
0.21 & 97.3046461445084 & 0.331436474937159 \tabularnewline
0.22 & 97.4001839736087 & 0.345147058458649 \tabularnewline
0.23 & 97.497893575382 & 0.35764420039107 \tabularnewline
0.24 & 97.5974071765684 & 0.368837943403928 \tabularnewline
0.25 & 97.6984605051865 & 0.379270393725657 \tabularnewline
0.26 & 97.8008416003442 & 0.388819581865371 \tabularnewline
0.27 & 97.9043386129582 & 0.39749329401251 \tabularnewline
0.28 & 98.0086711776636 & 0.40490768001415 \tabularnewline
0.29 & 98.1134149486028 & 0.410218577190297 \tabularnewline
0.3 & 98.2179520462144 & 0.412287539885395 \tabularnewline
0.31 & 98.3214809840395 & 0.41018538976563 \tabularnewline
0.32 & 98.4230956008175 & 0.40345207278777 \tabularnewline
0.33 & 98.5219088241547 & 0.393038394445812 \tabularnewline
0.34 & 98.6171749956733 & 0.379400216484239 \tabularnewline
0.35 & 98.7083670412452 & 0.36398265450578 \tabularnewline
0.36 & 98.7951893939314 & 0.347790201486277 \tabularnewline
0.37 & 98.8775391975627 & 0.331385416254596 \tabularnewline
0.38 & 98.9554495461749 & 0.315006081427806 \tabularnewline
0.39 & 99.0290496339018 & 0.298945013835096 \tabularnewline
0.4 & 99.0985597257757 & 0.283602700472249 \tabularnewline
0.41 & 99.1643146328765 & 0.269471075413412 \tabularnewline
0.42 & 99.2267906459652 & 0.257367042638714 \tabularnewline
0.43 & 99.286605993159 & 0.248126717015758 \tabularnewline
0.44 & 99.3444748436765 & 0.242327732301182 \tabularnewline
0.45 & 99.4011142564351 & 0.239725584383491 \tabularnewline
0.46 & 99.4571236997074 & 0.239284410346882 \tabularnewline
0.47 & 99.512869867431 & 0.240076309219564 \tabularnewline
0.48 & 99.568410894493 & 0.240240288753074 \tabularnewline
0.49 & 99.6234837442248 & 0.237948444584973 \tabularnewline
0.5 & 99.6775607256447 & 0.232763260597178 \tabularnewline
0.51 & 99.7299624420788 & 0.223928731340764 \tabularnewline
0.52 & 99.7800014872667 & 0.211991582604406 \tabularnewline
0.53 & 99.8271277903931 & 0.197673539111906 \tabularnewline
0.54 & 99.8710525381385 & 0.182542037843637 \tabularnewline
0.55 & 99.9118391822954 & 0.168287949741975 \tabularnewline
0.56 & 99.9499614227276 & 0.156776868102184 \tabularnewline
0.57 & 99.986334293861 & 0.149781911978857 \tabularnewline
0.58 & 100.022323657738 & 0.149894557751151 \tabularnewline
0.59 & 100.059733324156 & 0.158724475728466 \tabularnewline
0.6 & 100.100762077389 & 0.177914622068118 \tabularnewline
0.61 & 100.14791968186 & 0.208315089123953 \tabularnewline
0.62 & 100.203893828266 & 0.250201490433169 \tabularnewline
0.63 & 100.271367990457 & 0.302153139617163 \tabularnewline
0.64 & 100.35279992059 & 0.363038194211991 \tabularnewline
0.65 & 100.450178835734 & 0.430036074111113 \tabularnewline
0.66 & 100.564785876438 & 0.499743457177815 \tabularnewline
0.67 & 100.696990184484 & 0.567816707175632 \tabularnewline
0.68 & 100.846125807351 & 0.630292630692704 \tabularnewline
0.69 & 101.010512520886 & 0.682763478477101 \tabularnewline
0.7 & 101.187698836712 & 0.722508129573625 \tabularnewline
0.71 & 101.375003169792 & 0.74873884476191 \tabularnewline
0.72 & 101.570393398857 & 0.765206041184317 \tabularnewline
0.73 & 101.773666550203 & 0.779785780415766 \tabularnewline
0.74 & 101.987771855251 & 0.807142036980569 \tabularnewline
0.75 & 102.21997827807 & 0.865895267265827 \tabularnewline
0.76 & 102.482452989446 & 0.976347060108761 \tabularnewline
0.77 & 102.791742181321 & 1.15287997108087 \tabularnewline
0.78 & 103.166708108111 & 1.39760456019928 \tabularnewline
0.79 & 103.624765030404 & 1.6957281031135 \tabularnewline
0.8 & 104.176813938564 & 2.01332060574291 \tabularnewline
0.81 & 104.822006924443 & 2.30115640552683 \tabularnewline
0.82 & 105.544086266889 & 2.50365454330872 \tabularnewline
0.83 & 106.311120467672 & 2.57231514845043 \tabularnewline
0.84 & 107.07968187814 & 2.48149945975578 \tabularnewline
0.85 & 107.802957754173 & 2.23838438201461 \tabularnewline
0.86 & 108.440561582885 & 1.88280559955083 \tabularnewline
0.87 & 108.96681012235 & 1.4754816508399 \tabularnewline
0.88 & 109.374620708144 & 1.0801355377564 \tabularnewline
0.89 & 109.673929994604 & 0.74522364523542 \tabularnewline
0.9 & 109.885843431417 & 0.494676257068092 \tabularnewline
0.91 & 110.035438372804 & 0.328143926585849 \tabularnewline
0.92 & 110.14634070642 & 0.230105931470931 \tabularnewline
0.93 & 110.238641071519 & 0.182806216534121 \tabularnewline
0.94 & 110.329060600239 & 0.173468888827711 \tabularnewline
0.95 & 110.430138214402 & 0.188111939814836 \tabularnewline
0.96 & 110.546286130753 & 0.201384234575022 \tabularnewline
0.97 & 110.671362774806 & 0.185293406532012 \tabularnewline
0.98 & 110.799547316665 & 0.143830278181656 \tabularnewline
0.99 & 110.938217993505 & 0.144837459668573 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292997&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]92.975518458111[/C][C]1.10449449812078[/C][/ROW]
[ROW][C]0.02[/C][C]93.8717937078312[/C][C]0.598098699913798[/C][/ROW]
[ROW][C]0.03[/C][C]94.3966579344397[/C][C]0.464660844419077[/C][/ROW]
[ROW][C]0.04[/C][C]94.7597590741936[/C][C]0.573678703275832[/C][/ROW]
[ROW][C]0.05[/C][C]95.1118201444167[/C][C]0.69951786100901[/C][/ROW]
[ROW][C]0.06[/C][C]95.4728515531013[/C][C]0.726997534158635[/C][/ROW]
[ROW][C]0.07[/C][C]95.8084964301203[/C][C]0.647663655498948[/C][/ROW]
[ROW][C]0.08[/C][C]96.0861285244538[/C][C]0.513275872878053[/C][/ROW]
[ROW][C]0.09[/C][C]96.2954692863337[/C][C]0.379550435065665[/C][/ROW]
[ROW][C]0.1[/C][C]96.4451785091617[/C][C]0.276866855400262[/C][/ROW]
[ROW][C]0.11[/C][C]96.5517736002246[/C][C]0.210686376348529[/C][/ROW]
[ROW][C]0.12[/C][C]96.6314493075813[/C][C]0.175886641981457[/C][/ROW]
[ROW][C]0.13[/C][C]96.6969677002002[/C][C]0.166218277165902[/C][/ROW]
[ROW][C]0.14[/C][C]96.7574891924441[/C][C]0.175380799240644[/C][/ROW]
[ROW][C]0.15[/C][C]96.8191592337333[/C][C]0.197033413463347[/C][/ROW]
[ROW][C]0.16[/C][C]96.8856120433827[/C][C]0.224166251757656[/C][/ROW]
[ROW][C]0.17[/C][C]96.9584195002255[/C][C]0.251736962936152[/C][/ROW]
[ROW][C]0.18[/C][C]97.0376442851113[/C][C]0.276738492900128[/C][/ROW]
[ROW][C]0.19[/C][C]97.1224784556686[/C][C]0.298210155886296[/C][/ROW]
[ROW][C]0.2[/C][C]97.2118186009201[/C][C]0.316015597129605[/C][/ROW]
[ROW][C]0.21[/C][C]97.3046461445084[/C][C]0.331436474937159[/C][/ROW]
[ROW][C]0.22[/C][C]97.4001839736087[/C][C]0.345147058458649[/C][/ROW]
[ROW][C]0.23[/C][C]97.497893575382[/C][C]0.35764420039107[/C][/ROW]
[ROW][C]0.24[/C][C]97.5974071765684[/C][C]0.368837943403928[/C][/ROW]
[ROW][C]0.25[/C][C]97.6984605051865[/C][C]0.379270393725657[/C][/ROW]
[ROW][C]0.26[/C][C]97.8008416003442[/C][C]0.388819581865371[/C][/ROW]
[ROW][C]0.27[/C][C]97.9043386129582[/C][C]0.39749329401251[/C][/ROW]
[ROW][C]0.28[/C][C]98.0086711776636[/C][C]0.40490768001415[/C][/ROW]
[ROW][C]0.29[/C][C]98.1134149486028[/C][C]0.410218577190297[/C][/ROW]
[ROW][C]0.3[/C][C]98.2179520462144[/C][C]0.412287539885395[/C][/ROW]
[ROW][C]0.31[/C][C]98.3214809840395[/C][C]0.41018538976563[/C][/ROW]
[ROW][C]0.32[/C][C]98.4230956008175[/C][C]0.40345207278777[/C][/ROW]
[ROW][C]0.33[/C][C]98.5219088241547[/C][C]0.393038394445812[/C][/ROW]
[ROW][C]0.34[/C][C]98.6171749956733[/C][C]0.379400216484239[/C][/ROW]
[ROW][C]0.35[/C][C]98.7083670412452[/C][C]0.36398265450578[/C][/ROW]
[ROW][C]0.36[/C][C]98.7951893939314[/C][C]0.347790201486277[/C][/ROW]
[ROW][C]0.37[/C][C]98.8775391975627[/C][C]0.331385416254596[/C][/ROW]
[ROW][C]0.38[/C][C]98.9554495461749[/C][C]0.315006081427806[/C][/ROW]
[ROW][C]0.39[/C][C]99.0290496339018[/C][C]0.298945013835096[/C][/ROW]
[ROW][C]0.4[/C][C]99.0985597257757[/C][C]0.283602700472249[/C][/ROW]
[ROW][C]0.41[/C][C]99.1643146328765[/C][C]0.269471075413412[/C][/ROW]
[ROW][C]0.42[/C][C]99.2267906459652[/C][C]0.257367042638714[/C][/ROW]
[ROW][C]0.43[/C][C]99.286605993159[/C][C]0.248126717015758[/C][/ROW]
[ROW][C]0.44[/C][C]99.3444748436765[/C][C]0.242327732301182[/C][/ROW]
[ROW][C]0.45[/C][C]99.4011142564351[/C][C]0.239725584383491[/C][/ROW]
[ROW][C]0.46[/C][C]99.4571236997074[/C][C]0.239284410346882[/C][/ROW]
[ROW][C]0.47[/C][C]99.512869867431[/C][C]0.240076309219564[/C][/ROW]
[ROW][C]0.48[/C][C]99.568410894493[/C][C]0.240240288753074[/C][/ROW]
[ROW][C]0.49[/C][C]99.6234837442248[/C][C]0.237948444584973[/C][/ROW]
[ROW][C]0.5[/C][C]99.6775607256447[/C][C]0.232763260597178[/C][/ROW]
[ROW][C]0.51[/C][C]99.7299624420788[/C][C]0.223928731340764[/C][/ROW]
[ROW][C]0.52[/C][C]99.7800014872667[/C][C]0.211991582604406[/C][/ROW]
[ROW][C]0.53[/C][C]99.8271277903931[/C][C]0.197673539111906[/C][/ROW]
[ROW][C]0.54[/C][C]99.8710525381385[/C][C]0.182542037843637[/C][/ROW]
[ROW][C]0.55[/C][C]99.9118391822954[/C][C]0.168287949741975[/C][/ROW]
[ROW][C]0.56[/C][C]99.9499614227276[/C][C]0.156776868102184[/C][/ROW]
[ROW][C]0.57[/C][C]99.986334293861[/C][C]0.149781911978857[/C][/ROW]
[ROW][C]0.58[/C][C]100.022323657738[/C][C]0.149894557751151[/C][/ROW]
[ROW][C]0.59[/C][C]100.059733324156[/C][C]0.158724475728466[/C][/ROW]
[ROW][C]0.6[/C][C]100.100762077389[/C][C]0.177914622068118[/C][/ROW]
[ROW][C]0.61[/C][C]100.14791968186[/C][C]0.208315089123953[/C][/ROW]
[ROW][C]0.62[/C][C]100.203893828266[/C][C]0.250201490433169[/C][/ROW]
[ROW][C]0.63[/C][C]100.271367990457[/C][C]0.302153139617163[/C][/ROW]
[ROW][C]0.64[/C][C]100.35279992059[/C][C]0.363038194211991[/C][/ROW]
[ROW][C]0.65[/C][C]100.450178835734[/C][C]0.430036074111113[/C][/ROW]
[ROW][C]0.66[/C][C]100.564785876438[/C][C]0.499743457177815[/C][/ROW]
[ROW][C]0.67[/C][C]100.696990184484[/C][C]0.567816707175632[/C][/ROW]
[ROW][C]0.68[/C][C]100.846125807351[/C][C]0.630292630692704[/C][/ROW]
[ROW][C]0.69[/C][C]101.010512520886[/C][C]0.682763478477101[/C][/ROW]
[ROW][C]0.7[/C][C]101.187698836712[/C][C]0.722508129573625[/C][/ROW]
[ROW][C]0.71[/C][C]101.375003169792[/C][C]0.74873884476191[/C][/ROW]
[ROW][C]0.72[/C][C]101.570393398857[/C][C]0.765206041184317[/C][/ROW]
[ROW][C]0.73[/C][C]101.773666550203[/C][C]0.779785780415766[/C][/ROW]
[ROW][C]0.74[/C][C]101.987771855251[/C][C]0.807142036980569[/C][/ROW]
[ROW][C]0.75[/C][C]102.21997827807[/C][C]0.865895267265827[/C][/ROW]
[ROW][C]0.76[/C][C]102.482452989446[/C][C]0.976347060108761[/C][/ROW]
[ROW][C]0.77[/C][C]102.791742181321[/C][C]1.15287997108087[/C][/ROW]
[ROW][C]0.78[/C][C]103.166708108111[/C][C]1.39760456019928[/C][/ROW]
[ROW][C]0.79[/C][C]103.624765030404[/C][C]1.6957281031135[/C][/ROW]
[ROW][C]0.8[/C][C]104.176813938564[/C][C]2.01332060574291[/C][/ROW]
[ROW][C]0.81[/C][C]104.822006924443[/C][C]2.30115640552683[/C][/ROW]
[ROW][C]0.82[/C][C]105.544086266889[/C][C]2.50365454330872[/C][/ROW]
[ROW][C]0.83[/C][C]106.311120467672[/C][C]2.57231514845043[/C][/ROW]
[ROW][C]0.84[/C][C]107.07968187814[/C][C]2.48149945975578[/C][/ROW]
[ROW][C]0.85[/C][C]107.802957754173[/C][C]2.23838438201461[/C][/ROW]
[ROW][C]0.86[/C][C]108.440561582885[/C][C]1.88280559955083[/C][/ROW]
[ROW][C]0.87[/C][C]108.96681012235[/C][C]1.4754816508399[/C][/ROW]
[ROW][C]0.88[/C][C]109.374620708144[/C][C]1.0801355377564[/C][/ROW]
[ROW][C]0.89[/C][C]109.673929994604[/C][C]0.74522364523542[/C][/ROW]
[ROW][C]0.9[/C][C]109.885843431417[/C][C]0.494676257068092[/C][/ROW]
[ROW][C]0.91[/C][C]110.035438372804[/C][C]0.328143926585849[/C][/ROW]
[ROW][C]0.92[/C][C]110.14634070642[/C][C]0.230105931470931[/C][/ROW]
[ROW][C]0.93[/C][C]110.238641071519[/C][C]0.182806216534121[/C][/ROW]
[ROW][C]0.94[/C][C]110.329060600239[/C][C]0.173468888827711[/C][/ROW]
[ROW][C]0.95[/C][C]110.430138214402[/C][C]0.188111939814836[/C][/ROW]
[ROW][C]0.96[/C][C]110.546286130753[/C][C]0.201384234575022[/C][/ROW]
[ROW][C]0.97[/C][C]110.671362774806[/C][C]0.185293406532012[/C][/ROW]
[ROW][C]0.98[/C][C]110.799547316665[/C][C]0.143830278181656[/C][/ROW]
[ROW][C]0.99[/C][C]110.938217993505[/C][C]0.144837459668573[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292997&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292997&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
0.0192.9755184581111.10449449812078
0.0293.87179370783120.598098699913798
0.0394.39665793443970.464660844419077
0.0494.75975907419360.573678703275832
0.0595.11182014441670.69951786100901
0.0695.47285155310130.726997534158635
0.0795.80849643012030.647663655498948
0.0896.08612852445380.513275872878053
0.0996.29546928633370.379550435065665
0.196.44517850916170.276866855400262
0.1196.55177360022460.210686376348529
0.1296.63144930758130.175886641981457
0.1396.69696770020020.166218277165902
0.1496.75748919244410.175380799240644
0.1596.81915923373330.197033413463347
0.1696.88561204338270.224166251757656
0.1796.95841950022550.251736962936152
0.1897.03764428511130.276738492900128
0.1997.12247845566860.298210155886296
0.297.21181860092010.316015597129605
0.2197.30464614450840.331436474937159
0.2297.40018397360870.345147058458649
0.2397.4978935753820.35764420039107
0.2497.59740717656840.368837943403928
0.2597.69846050518650.379270393725657
0.2697.80084160034420.388819581865371
0.2797.90433861295820.39749329401251
0.2898.00867117766360.40490768001415
0.2998.11341494860280.410218577190297
0.398.21795204621440.412287539885395
0.3198.32148098403950.41018538976563
0.3298.42309560081750.40345207278777
0.3398.52190882415470.393038394445812
0.3498.61717499567330.379400216484239
0.3598.70836704124520.36398265450578
0.3698.79518939393140.347790201486277
0.3798.87753919756270.331385416254596
0.3898.95544954617490.315006081427806
0.3999.02904963390180.298945013835096
0.499.09855972577570.283602700472249
0.4199.16431463287650.269471075413412
0.4299.22679064596520.257367042638714
0.4399.2866059931590.248126717015758
0.4499.34447484367650.242327732301182
0.4599.40111425643510.239725584383491
0.4699.45712369970740.239284410346882
0.4799.5128698674310.240076309219564
0.4899.5684108944930.240240288753074
0.4999.62348374422480.237948444584973
0.599.67756072564470.232763260597178
0.5199.72996244207880.223928731340764
0.5299.78000148726670.211991582604406
0.5399.82712779039310.197673539111906
0.5499.87105253813850.182542037843637
0.5599.91183918229540.168287949741975
0.5699.94996142272760.156776868102184
0.5799.9863342938610.149781911978857
0.58100.0223236577380.149894557751151
0.59100.0597333241560.158724475728466
0.6100.1007620773890.177914622068118
0.61100.147919681860.208315089123953
0.62100.2038938282660.250201490433169
0.63100.2713679904570.302153139617163
0.64100.352799920590.363038194211991
0.65100.4501788357340.430036074111113
0.66100.5647858764380.499743457177815
0.67100.6969901844840.567816707175632
0.68100.8461258073510.630292630692704
0.69101.0105125208860.682763478477101
0.7101.1876988367120.722508129573625
0.71101.3750031697920.74873884476191
0.72101.5703933988570.765206041184317
0.73101.7736665502030.779785780415766
0.74101.9877718552510.807142036980569
0.75102.219978278070.865895267265827
0.76102.4824529894460.976347060108761
0.77102.7917421813211.15287997108087
0.78103.1667081081111.39760456019928
0.79103.6247650304041.6957281031135
0.8104.1768139385642.01332060574291
0.81104.8220069244432.30115640552683
0.82105.5440862668892.50365454330872
0.83106.3111204676722.57231514845043
0.84107.079681878142.48149945975578
0.85107.8029577541732.23838438201461
0.86108.4405615828851.88280559955083
0.87108.966810122351.4754816508399
0.88109.3746207081441.0801355377564
0.89109.6739299946040.74522364523542
0.9109.8858434314170.494676257068092
0.91110.0354383728040.328143926585849
0.92110.146340706420.230105931470931
0.93110.2386410715190.182806216534121
0.94110.3290606002390.173468888827711
0.95110.4301382144020.188111939814836
0.96110.5462861307530.201384234575022
0.97110.6713627748060.185293406532012
0.98110.7995473166650.143830278181656
0.99110.9382179935050.144837459668573


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')