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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 computationSun, 05 Oct 2014 10:26:43 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/05/t141250164862gxdz7qa5ooowh.htm/, Retrieved Sat, 11 May 2024 10:17:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238676, Retrieved Sat, 11 May 2024 10:17:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact143

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] [] [2014-10-05 09:26:43] [005d52b4da51231cae6b1556f6a0b215] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.36
103.6
103.69
103.78
103.27
103.29
103.3
103.47
103.27
103.3
103.38
103.38
105.22
105.29
104.85
104.99
104.61
104.6
103.53
103.48
103.54
103.52
103.5
103.5
103.83
103.2
103.24
103.11
103.13
103.15
103.03
103.06
103.11
103.11
103.12
103.12
103.28
103.44
103.37
103.15
103.21
103.22
103.32
103.34
103.34
103.3
103.29
103.35
104.02
104.07
104.23
103.96
103.81
103.38
103.29
103.24
103.26
103.4
103.25
103.24
104.17
104.47
104.48
104.41
104.12
104.16
104.15
104.16
104.23
104.33
104.32
104.34

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238676&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238676&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238676&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01103.0414324059330.0317310953260086
0.02103.0591512595160.0326103647107929
0.03103.0770913726690.0288703323938551
0.04103.0917966527570.022325007727817
0.05103.1026751241620.0167004780018081
0.06103.1107035382180.0145614432822982
0.07103.117275725260.0158623860038533
0.08103.1235770792370.0193629798805494
0.09103.1303825303490.0239576503385629
0.1103.1380784983340.0287505560633892
0.11103.1467556829530.0332777065971449
0.12103.1563001374630.0369496744954108
0.13103.1664670517750.0394618005424148
0.14103.1769427818770.0406124866917764
0.15103.1873999610340.0404265835948236
0.16103.1975443440840.0391079617199606
0.17103.207148752570.0369453831505983
0.18103.2160704559230.0343991323677933
0.19103.2242517122980.0318066194946147
0.2103.2317067521330.0293957815092494
0.21103.2385007416050.0273213171522247
0.22103.2447267258960.0256780449747116
0.23103.2504854962470.0244312644369129
0.24103.2558714084560.0235201482225313
0.25103.2609651065560.0227637880548649
0.26103.265832400680.0223578654271706
0.27103.2705274820280.0219700866185766
0.28103.2750982660080.0217706835533742
0.29103.2795918169840.0217595430902051
0.3103.2840583337660.0220366081372865
0.31103.2885528683590.0225850185812354
0.32103.2931346478620.0234840280531681
0.33103.2978644520790.0247071692310462
0.34103.3028008924690.0262342841880052
0.35103.3079966046030.0280370309009083
0.36103.3134953039150.0299701794191532
0.37103.3193303936080.0320992261526425
0.38103.3255254160390.0342359071463157
0.39103.332096191880.0364794283097106
0.4103.3390540946950.0386372467521301
0.41103.3464096563440.0409208792255798
0.42103.3541756571680.0431887816046463
0.43103.3623690452620.0456587727148644
0.44103.3710114156450.0482539561707045
0.45103.3801282733410.0510547782600662
0.46103.3897477764040.0539640997795465
0.47103.3998999676570.0570103501444747
0.48103.4106175442480.0602211166546099
0.49103.4219389271040.06357301226107
0.5103.4339138050740.0671495111924846
0.51103.4466105536650.0709928492860984
0.52103.4601241460170.0754115310367049
0.53103.4745825918770.080595582842512
0.54103.4901497410730.0866707852366208
0.55103.5070225761380.0940635165320962
0.56103.5254218846050.102734058279328
0.57103.545576312620.112720875598162
0.58103.5677010282370.123746319744941
0.59103.5919732945810.135731202659435
0.6103.6185079306910.147927089959069
0.61103.647335781670.159917855606121
0.62103.6783879299850.171146950635569
0.63103.711487594240.180896966130146
0.64103.7463507071040.188806340471473
0.65103.7825952743330.194328289543028
0.66103.8197589484770.19701055450268
0.67103.8573238263750.196846839189483
0.68103.8947471862240.193674820493433
0.69103.9314965302290.187688325268354
0.7103.9670867334250.17927609458004
0.71104.0011162951350.168834394989823
0.72104.0332988254580.157050691334126
0.73104.0634853429940.144720649397521
0.74104.0916731655980.132656446990534
0.75104.1179985107450.121454392206291
0.76104.1427124745050.111924868108581
0.77104.1661434934730.104379525965337
0.78104.1886529282680.098863682204833
0.79104.2105929511090.0952840245488484
0.8104.232276400030.0928982756864329
0.81104.2539660626330.0914728897423629
0.82104.2758862349690.0906002699388867
0.83104.2982537026230.0901864075447032
0.84104.3213206881080.0902893237519109
0.85104.3454210556810.0913864377374406
0.86104.3710143092020.0938008232500689
0.87104.3987284597790.0979253304647031
0.88104.4294084430830.104299495283626
0.89104.4641748874510.11332787734014
0.9104.5044828631940.125613452367393
0.91104.5521420380320.141844537370715
0.92104.609229168360.162068886953796
0.93104.6778085558850.185077734115761
0.94104.7593847829280.20779840013175
0.95104.8540357653880.225227816951831
0.96104.9592204934250.230774726494301
0.97105.0684122840510.216309054084041
0.98105.1701272839650.174633440765502
0.99105.2487564715850.112868759606077

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 103.041432405933 & 0.0317310953260086 \tabularnewline
0.02 & 103.059151259516 & 0.0326103647107929 \tabularnewline
0.03 & 103.077091372669 & 0.0288703323938551 \tabularnewline
0.04 & 103.091796652757 & 0.022325007727817 \tabularnewline
0.05 & 103.102675124162 & 0.0167004780018081 \tabularnewline
0.06 & 103.110703538218 & 0.0145614432822982 \tabularnewline
0.07 & 103.11727572526 & 0.0158623860038533 \tabularnewline
0.08 & 103.123577079237 & 0.0193629798805494 \tabularnewline
0.09 & 103.130382530349 & 0.0239576503385629 \tabularnewline
0.1 & 103.138078498334 & 0.0287505560633892 \tabularnewline
0.11 & 103.146755682953 & 0.0332777065971449 \tabularnewline
0.12 & 103.156300137463 & 0.0369496744954108 \tabularnewline
0.13 & 103.166467051775 & 0.0394618005424148 \tabularnewline
0.14 & 103.176942781877 & 0.0406124866917764 \tabularnewline
0.15 & 103.187399961034 & 0.0404265835948236 \tabularnewline
0.16 & 103.197544344084 & 0.0391079617199606 \tabularnewline
0.17 & 103.20714875257 & 0.0369453831505983 \tabularnewline
0.18 & 103.216070455923 & 0.0343991323677933 \tabularnewline
0.19 & 103.224251712298 & 0.0318066194946147 \tabularnewline
0.2 & 103.231706752133 & 0.0293957815092494 \tabularnewline
0.21 & 103.238500741605 & 0.0273213171522247 \tabularnewline
0.22 & 103.244726725896 & 0.0256780449747116 \tabularnewline
0.23 & 103.250485496247 & 0.0244312644369129 \tabularnewline
0.24 & 103.255871408456 & 0.0235201482225313 \tabularnewline
0.25 & 103.260965106556 & 0.0227637880548649 \tabularnewline
0.26 & 103.26583240068 & 0.0223578654271706 \tabularnewline
0.27 & 103.270527482028 & 0.0219700866185766 \tabularnewline
0.28 & 103.275098266008 & 0.0217706835533742 \tabularnewline
0.29 & 103.279591816984 & 0.0217595430902051 \tabularnewline
0.3 & 103.284058333766 & 0.0220366081372865 \tabularnewline
0.31 & 103.288552868359 & 0.0225850185812354 \tabularnewline
0.32 & 103.293134647862 & 0.0234840280531681 \tabularnewline
0.33 & 103.297864452079 & 0.0247071692310462 \tabularnewline
0.34 & 103.302800892469 & 0.0262342841880052 \tabularnewline
0.35 & 103.307996604603 & 0.0280370309009083 \tabularnewline
0.36 & 103.313495303915 & 0.0299701794191532 \tabularnewline
0.37 & 103.319330393608 & 0.0320992261526425 \tabularnewline
0.38 & 103.325525416039 & 0.0342359071463157 \tabularnewline
0.39 & 103.33209619188 & 0.0364794283097106 \tabularnewline
0.4 & 103.339054094695 & 0.0386372467521301 \tabularnewline
0.41 & 103.346409656344 & 0.0409208792255798 \tabularnewline
0.42 & 103.354175657168 & 0.0431887816046463 \tabularnewline
0.43 & 103.362369045262 & 0.0456587727148644 \tabularnewline
0.44 & 103.371011415645 & 0.0482539561707045 \tabularnewline
0.45 & 103.380128273341 & 0.0510547782600662 \tabularnewline
0.46 & 103.389747776404 & 0.0539640997795465 \tabularnewline
0.47 & 103.399899967657 & 0.0570103501444747 \tabularnewline
0.48 & 103.410617544248 & 0.0602211166546099 \tabularnewline
0.49 & 103.421938927104 & 0.06357301226107 \tabularnewline
0.5 & 103.433913805074 & 0.0671495111924846 \tabularnewline
0.51 & 103.446610553665 & 0.0709928492860984 \tabularnewline
0.52 & 103.460124146017 & 0.0754115310367049 \tabularnewline
0.53 & 103.474582591877 & 0.080595582842512 \tabularnewline
0.54 & 103.490149741073 & 0.0866707852366208 \tabularnewline
0.55 & 103.507022576138 & 0.0940635165320962 \tabularnewline
0.56 & 103.525421884605 & 0.102734058279328 \tabularnewline
0.57 & 103.54557631262 & 0.112720875598162 \tabularnewline
0.58 & 103.567701028237 & 0.123746319744941 \tabularnewline
0.59 & 103.591973294581 & 0.135731202659435 \tabularnewline
0.6 & 103.618507930691 & 0.147927089959069 \tabularnewline
0.61 & 103.64733578167 & 0.159917855606121 \tabularnewline
0.62 & 103.678387929985 & 0.171146950635569 \tabularnewline
0.63 & 103.71148759424 & 0.180896966130146 \tabularnewline
0.64 & 103.746350707104 & 0.188806340471473 \tabularnewline
0.65 & 103.782595274333 & 0.194328289543028 \tabularnewline
0.66 & 103.819758948477 & 0.19701055450268 \tabularnewline
0.67 & 103.857323826375 & 0.196846839189483 \tabularnewline
0.68 & 103.894747186224 & 0.193674820493433 \tabularnewline
0.69 & 103.931496530229 & 0.187688325268354 \tabularnewline
0.7 & 103.967086733425 & 0.17927609458004 \tabularnewline
0.71 & 104.001116295135 & 0.168834394989823 \tabularnewline
0.72 & 104.033298825458 & 0.157050691334126 \tabularnewline
0.73 & 104.063485342994 & 0.144720649397521 \tabularnewline
0.74 & 104.091673165598 & 0.132656446990534 \tabularnewline
0.75 & 104.117998510745 & 0.121454392206291 \tabularnewline
0.76 & 104.142712474505 & 0.111924868108581 \tabularnewline
0.77 & 104.166143493473 & 0.104379525965337 \tabularnewline
0.78 & 104.188652928268 & 0.098863682204833 \tabularnewline
0.79 & 104.210592951109 & 0.0952840245488484 \tabularnewline
0.8 & 104.23227640003 & 0.0928982756864329 \tabularnewline
0.81 & 104.253966062633 & 0.0914728897423629 \tabularnewline
0.82 & 104.275886234969 & 0.0906002699388867 \tabularnewline
0.83 & 104.298253702623 & 0.0901864075447032 \tabularnewline
0.84 & 104.321320688108 & 0.0902893237519109 \tabularnewline
0.85 & 104.345421055681 & 0.0913864377374406 \tabularnewline
0.86 & 104.371014309202 & 0.0938008232500689 \tabularnewline
0.87 & 104.398728459779 & 0.0979253304647031 \tabularnewline
0.88 & 104.429408443083 & 0.104299495283626 \tabularnewline
0.89 & 104.464174887451 & 0.11332787734014 \tabularnewline
0.9 & 104.504482863194 & 0.125613452367393 \tabularnewline
0.91 & 104.552142038032 & 0.141844537370715 \tabularnewline
0.92 & 104.60922916836 & 0.162068886953796 \tabularnewline
0.93 & 104.677808555885 & 0.185077734115761 \tabularnewline
0.94 & 104.759384782928 & 0.20779840013175 \tabularnewline
0.95 & 104.854035765388 & 0.225227816951831 \tabularnewline
0.96 & 104.959220493425 & 0.230774726494301 \tabularnewline
0.97 & 105.068412284051 & 0.216309054084041 \tabularnewline
0.98 & 105.170127283965 & 0.174633440765502 \tabularnewline
0.99 & 105.248756471585 & 0.112868759606077 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238676&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]103.041432405933[/C][C]0.0317310953260086[/C][/ROW]
[ROW][C]0.02[/C][C]103.059151259516[/C][C]0.0326103647107929[/C][/ROW]
[ROW][C]0.03[/C][C]103.077091372669[/C][C]0.0288703323938551[/C][/ROW]
[ROW][C]0.04[/C][C]103.091796652757[/C][C]0.022325007727817[/C][/ROW]
[ROW][C]0.05[/C][C]103.102675124162[/C][C]0.0167004780018081[/C][/ROW]
[ROW][C]0.06[/C][C]103.110703538218[/C][C]0.0145614432822982[/C][/ROW]
[ROW][C]0.07[/C][C]103.11727572526[/C][C]0.0158623860038533[/C][/ROW]
[ROW][C]0.08[/C][C]103.123577079237[/C][C]0.0193629798805494[/C][/ROW]
[ROW][C]0.09[/C][C]103.130382530349[/C][C]0.0239576503385629[/C][/ROW]
[ROW][C]0.1[/C][C]103.138078498334[/C][C]0.0287505560633892[/C][/ROW]
[ROW][C]0.11[/C][C]103.146755682953[/C][C]0.0332777065971449[/C][/ROW]
[ROW][C]0.12[/C][C]103.156300137463[/C][C]0.0369496744954108[/C][/ROW]
[ROW][C]0.13[/C][C]103.166467051775[/C][C]0.0394618005424148[/C][/ROW]
[ROW][C]0.14[/C][C]103.176942781877[/C][C]0.0406124866917764[/C][/ROW]
[ROW][C]0.15[/C][C]103.187399961034[/C][C]0.0404265835948236[/C][/ROW]
[ROW][C]0.16[/C][C]103.197544344084[/C][C]0.0391079617199606[/C][/ROW]
[ROW][C]0.17[/C][C]103.20714875257[/C][C]0.0369453831505983[/C][/ROW]
[ROW][C]0.18[/C][C]103.216070455923[/C][C]0.0343991323677933[/C][/ROW]
[ROW][C]0.19[/C][C]103.224251712298[/C][C]0.0318066194946147[/C][/ROW]
[ROW][C]0.2[/C][C]103.231706752133[/C][C]0.0293957815092494[/C][/ROW]
[ROW][C]0.21[/C][C]103.238500741605[/C][C]0.0273213171522247[/C][/ROW]
[ROW][C]0.22[/C][C]103.244726725896[/C][C]0.0256780449747116[/C][/ROW]
[ROW][C]0.23[/C][C]103.250485496247[/C][C]0.0244312644369129[/C][/ROW]
[ROW][C]0.24[/C][C]103.255871408456[/C][C]0.0235201482225313[/C][/ROW]
[ROW][C]0.25[/C][C]103.260965106556[/C][C]0.0227637880548649[/C][/ROW]
[ROW][C]0.26[/C][C]103.26583240068[/C][C]0.0223578654271706[/C][/ROW]
[ROW][C]0.27[/C][C]103.270527482028[/C][C]0.0219700866185766[/C][/ROW]
[ROW][C]0.28[/C][C]103.275098266008[/C][C]0.0217706835533742[/C][/ROW]
[ROW][C]0.29[/C][C]103.279591816984[/C][C]0.0217595430902051[/C][/ROW]
[ROW][C]0.3[/C][C]103.284058333766[/C][C]0.0220366081372865[/C][/ROW]
[ROW][C]0.31[/C][C]103.288552868359[/C][C]0.0225850185812354[/C][/ROW]
[ROW][C]0.32[/C][C]103.293134647862[/C][C]0.0234840280531681[/C][/ROW]
[ROW][C]0.33[/C][C]103.297864452079[/C][C]0.0247071692310462[/C][/ROW]
[ROW][C]0.34[/C][C]103.302800892469[/C][C]0.0262342841880052[/C][/ROW]
[ROW][C]0.35[/C][C]103.307996604603[/C][C]0.0280370309009083[/C][/ROW]
[ROW][C]0.36[/C][C]103.313495303915[/C][C]0.0299701794191532[/C][/ROW]
[ROW][C]0.37[/C][C]103.319330393608[/C][C]0.0320992261526425[/C][/ROW]
[ROW][C]0.38[/C][C]103.325525416039[/C][C]0.0342359071463157[/C][/ROW]
[ROW][C]0.39[/C][C]103.33209619188[/C][C]0.0364794283097106[/C][/ROW]
[ROW][C]0.4[/C][C]103.339054094695[/C][C]0.0386372467521301[/C][/ROW]
[ROW][C]0.41[/C][C]103.346409656344[/C][C]0.0409208792255798[/C][/ROW]
[ROW][C]0.42[/C][C]103.354175657168[/C][C]0.0431887816046463[/C][/ROW]
[ROW][C]0.43[/C][C]103.362369045262[/C][C]0.0456587727148644[/C][/ROW]
[ROW][C]0.44[/C][C]103.371011415645[/C][C]0.0482539561707045[/C][/ROW]
[ROW][C]0.45[/C][C]103.380128273341[/C][C]0.0510547782600662[/C][/ROW]
[ROW][C]0.46[/C][C]103.389747776404[/C][C]0.0539640997795465[/C][/ROW]
[ROW][C]0.47[/C][C]103.399899967657[/C][C]0.0570103501444747[/C][/ROW]
[ROW][C]0.48[/C][C]103.410617544248[/C][C]0.0602211166546099[/C][/ROW]
[ROW][C]0.49[/C][C]103.421938927104[/C][C]0.06357301226107[/C][/ROW]
[ROW][C]0.5[/C][C]103.433913805074[/C][C]0.0671495111924846[/C][/ROW]
[ROW][C]0.51[/C][C]103.446610553665[/C][C]0.0709928492860984[/C][/ROW]
[ROW][C]0.52[/C][C]103.460124146017[/C][C]0.0754115310367049[/C][/ROW]
[ROW][C]0.53[/C][C]103.474582591877[/C][C]0.080595582842512[/C][/ROW]
[ROW][C]0.54[/C][C]103.490149741073[/C][C]0.0866707852366208[/C][/ROW]
[ROW][C]0.55[/C][C]103.507022576138[/C][C]0.0940635165320962[/C][/ROW]
[ROW][C]0.56[/C][C]103.525421884605[/C][C]0.102734058279328[/C][/ROW]
[ROW][C]0.57[/C][C]103.54557631262[/C][C]0.112720875598162[/C][/ROW]
[ROW][C]0.58[/C][C]103.567701028237[/C][C]0.123746319744941[/C][/ROW]
[ROW][C]0.59[/C][C]103.591973294581[/C][C]0.135731202659435[/C][/ROW]
[ROW][C]0.6[/C][C]103.618507930691[/C][C]0.147927089959069[/C][/ROW]
[ROW][C]0.61[/C][C]103.64733578167[/C][C]0.159917855606121[/C][/ROW]
[ROW][C]0.62[/C][C]103.678387929985[/C][C]0.171146950635569[/C][/ROW]
[ROW][C]0.63[/C][C]103.71148759424[/C][C]0.180896966130146[/C][/ROW]
[ROW][C]0.64[/C][C]103.746350707104[/C][C]0.188806340471473[/C][/ROW]
[ROW][C]0.65[/C][C]103.782595274333[/C][C]0.194328289543028[/C][/ROW]
[ROW][C]0.66[/C][C]103.819758948477[/C][C]0.19701055450268[/C][/ROW]
[ROW][C]0.67[/C][C]103.857323826375[/C][C]0.196846839189483[/C][/ROW]
[ROW][C]0.68[/C][C]103.894747186224[/C][C]0.193674820493433[/C][/ROW]
[ROW][C]0.69[/C][C]103.931496530229[/C][C]0.187688325268354[/C][/ROW]
[ROW][C]0.7[/C][C]103.967086733425[/C][C]0.17927609458004[/C][/ROW]
[ROW][C]0.71[/C][C]104.001116295135[/C][C]0.168834394989823[/C][/ROW]
[ROW][C]0.72[/C][C]104.033298825458[/C][C]0.157050691334126[/C][/ROW]
[ROW][C]0.73[/C][C]104.063485342994[/C][C]0.144720649397521[/C][/ROW]
[ROW][C]0.74[/C][C]104.091673165598[/C][C]0.132656446990534[/C][/ROW]
[ROW][C]0.75[/C][C]104.117998510745[/C][C]0.121454392206291[/C][/ROW]
[ROW][C]0.76[/C][C]104.142712474505[/C][C]0.111924868108581[/C][/ROW]
[ROW][C]0.77[/C][C]104.166143493473[/C][C]0.104379525965337[/C][/ROW]
[ROW][C]0.78[/C][C]104.188652928268[/C][C]0.098863682204833[/C][/ROW]
[ROW][C]0.79[/C][C]104.210592951109[/C][C]0.0952840245488484[/C][/ROW]
[ROW][C]0.8[/C][C]104.23227640003[/C][C]0.0928982756864329[/C][/ROW]
[ROW][C]0.81[/C][C]104.253966062633[/C][C]0.0914728897423629[/C][/ROW]
[ROW][C]0.82[/C][C]104.275886234969[/C][C]0.0906002699388867[/C][/ROW]
[ROW][C]0.83[/C][C]104.298253702623[/C][C]0.0901864075447032[/C][/ROW]
[ROW][C]0.84[/C][C]104.321320688108[/C][C]0.0902893237519109[/C][/ROW]
[ROW][C]0.85[/C][C]104.345421055681[/C][C]0.0913864377374406[/C][/ROW]
[ROW][C]0.86[/C][C]104.371014309202[/C][C]0.0938008232500689[/C][/ROW]
[ROW][C]0.87[/C][C]104.398728459779[/C][C]0.0979253304647031[/C][/ROW]
[ROW][C]0.88[/C][C]104.429408443083[/C][C]0.104299495283626[/C][/ROW]
[ROW][C]0.89[/C][C]104.464174887451[/C][C]0.11332787734014[/C][/ROW]
[ROW][C]0.9[/C][C]104.504482863194[/C][C]0.125613452367393[/C][/ROW]
[ROW][C]0.91[/C][C]104.552142038032[/C][C]0.141844537370715[/C][/ROW]
[ROW][C]0.92[/C][C]104.60922916836[/C][C]0.162068886953796[/C][/ROW]
[ROW][C]0.93[/C][C]104.677808555885[/C][C]0.185077734115761[/C][/ROW]
[ROW][C]0.94[/C][C]104.759384782928[/C][C]0.20779840013175[/C][/ROW]
[ROW][C]0.95[/C][C]104.854035765388[/C][C]0.225227816951831[/C][/ROW]
[ROW][C]0.96[/C][C]104.959220493425[/C][C]0.230774726494301[/C][/ROW]
[ROW][C]0.97[/C][C]105.068412284051[/C][C]0.216309054084041[/C][/ROW]
[ROW][C]0.98[/C][C]105.170127283965[/C][C]0.174633440765502[/C][/ROW]
[ROW][C]0.99[/C][C]105.248756471585[/C][C]0.112868759606077[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238676&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238676&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
0.01103.0414324059330.0317310953260086
0.02103.0591512595160.0326103647107929
0.03103.0770913726690.0288703323938551
0.04103.0917966527570.022325007727817
0.05103.1026751241620.0167004780018081
0.06103.1107035382180.0145614432822982
0.07103.117275725260.0158623860038533
0.08103.1235770792370.0193629798805494
0.09103.1303825303490.0239576503385629
0.1103.1380784983340.0287505560633892
0.11103.1467556829530.0332777065971449
0.12103.1563001374630.0369496744954108
0.13103.1664670517750.0394618005424148
0.14103.1769427818770.0406124866917764
0.15103.1873999610340.0404265835948236
0.16103.1975443440840.0391079617199606
0.17103.207148752570.0369453831505983
0.18103.2160704559230.0343991323677933
0.19103.2242517122980.0318066194946147
0.2103.2317067521330.0293957815092494
0.21103.2385007416050.0273213171522247
0.22103.2447267258960.0256780449747116
0.23103.2504854962470.0244312644369129
0.24103.2558714084560.0235201482225313
0.25103.2609651065560.0227637880548649
0.26103.265832400680.0223578654271706
0.27103.2705274820280.0219700866185766
0.28103.2750982660080.0217706835533742
0.29103.2795918169840.0217595430902051
0.3103.2840583337660.0220366081372865
0.31103.2885528683590.0225850185812354
0.32103.2931346478620.0234840280531681
0.33103.2978644520790.0247071692310462
0.34103.3028008924690.0262342841880052
0.35103.3079966046030.0280370309009083
0.36103.3134953039150.0299701794191532
0.37103.3193303936080.0320992261526425
0.38103.3255254160390.0342359071463157
0.39103.332096191880.0364794283097106
0.4103.3390540946950.0386372467521301
0.41103.3464096563440.0409208792255798
0.42103.3541756571680.0431887816046463
0.43103.3623690452620.0456587727148644
0.44103.3710114156450.0482539561707045
0.45103.3801282733410.0510547782600662
0.46103.3897477764040.0539640997795465
0.47103.3998999676570.0570103501444747
0.48103.4106175442480.0602211166546099
0.49103.4219389271040.06357301226107
0.5103.4339138050740.0671495111924846
0.51103.4466105536650.0709928492860984
0.52103.4601241460170.0754115310367049
0.53103.4745825918770.080595582842512
0.54103.4901497410730.0866707852366208
0.55103.5070225761380.0940635165320962
0.56103.5254218846050.102734058279328
0.57103.545576312620.112720875598162
0.58103.5677010282370.123746319744941
0.59103.5919732945810.135731202659435
0.6103.6185079306910.147927089959069
0.61103.647335781670.159917855606121
0.62103.6783879299850.171146950635569
0.63103.711487594240.180896966130146
0.64103.7463507071040.188806340471473
0.65103.7825952743330.194328289543028
0.66103.8197589484770.19701055450268
0.67103.8573238263750.196846839189483
0.68103.8947471862240.193674820493433
0.69103.9314965302290.187688325268354
0.7103.9670867334250.17927609458004
0.71104.0011162951350.168834394989823
0.72104.0332988254580.157050691334126
0.73104.0634853429940.144720649397521
0.74104.0916731655980.132656446990534
0.75104.1179985107450.121454392206291
0.76104.1427124745050.111924868108581
0.77104.1661434934730.104379525965337
0.78104.1886529282680.098863682204833
0.79104.2105929511090.0952840245488484
0.8104.232276400030.0928982756864329
0.81104.2539660626330.0914728897423629
0.82104.2758862349690.0906002699388867
0.83104.2982537026230.0901864075447032
0.84104.3213206881080.0902893237519109
0.85104.3454210556810.0913864377374406
0.86104.3710143092020.0938008232500689
0.87104.3987284597790.0979253304647031
0.88104.4294084430830.104299495283626
0.89104.4641748874510.11332787734014
0.9104.5044828631940.125613452367393
0.91104.5521420380320.141844537370715
0.92104.609229168360.162068886953796
0.93104.6778085558850.185077734115761
0.94104.7593847829280.20779840013175
0.95104.8540357653880.225227816951831
0.96104.9592204934250.230774726494301
0.97105.0684122840510.216309054084041
0.98105.1701272839650.174633440765502
0.99105.2487564715850.112868759606077


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')