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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 computationThu, 26 Feb 2015 20:40:51 +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/Feb/26/t14249832693hnnku1h84lzqsu.htm/, Retrieved Sat, 18 May 2024 04:34:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277714, Retrieved Sat, 18 May 2024 04:34:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64

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] [Inflatie Europese...] [2015-02-26 20:40:51] [c5b33e4153b13210102bee47a487e864] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.64
100.93
101.41
102.07
102.42
102.53
102.43
102.6
102.65
102.74
102.82
103.2
102.75
103.09
103.71
104.3
104.58
104.71
104.44
104.57
104.95
105.49
106.03
106.48
106.25
106.7
107.6
108.05
108.72
109.17
109.08
109.04
109.34
109.37
108.96
108.77
108.11
108.67
109.05
109.43
109.62
109.85
109.34
109.65
109.69
109.91
110.09
110.44
109.9
110.25
111.26
111.74
111.91
111.95
111.63
111.85
112.16
112.49
112.66
113.39
112.92
113.44
114.68
115.38
115.48
115.41
114.92
115.16
115.89
116.25
116.43
116.83
116.17
116.78
117.98
118.53
118.43
118.29
117.85
118.27
119
119.33
119.17
119.57
118.62
119.09
120.19
120.17
120.29
120.35
119.88
120.04
120.52
120.43
120.34
120.75

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=277714&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=277714&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277714&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
0.01100.8381657084320.397453453382547
0.02101.1845708078230.548141654714412
0.03101.5657020394840.582878388129317
0.04101.9039799784640.504643421309443
0.05102.1665339105310.386505558715288
0.06102.355725969230.289343823587294
0.07102.4927568204310.240811832500985
0.08102.6026906920590.243394237728464
0.09102.7066512942790.287897428451745
0.1102.8199323004620.363442519773795
0.11102.9524381829450.45860944390743
0.12103.1093048136660.561019620300033
0.13103.291376504060.65785320163643
0.14103.495981316510.739072773720787
0.15103.7182862213650.800900739788558
0.16103.9530360456730.84605083509941
0.17104.1961555241630.882921781045398
0.18104.4457004371290.921693195967496
0.19104.7019175000040.970224518436748
0.2104.9665263503421.03076338884517
0.21105.2415888923971.10050575925577
0.22105.5283925364181.17213305541431
0.23105.826666944241.2368799500538
0.24106.1342700524631.28671136471976
0.25106.4473136994411.31482946139696
0.26106.7606050408331.31713856135843
0.27107.0682584612431.2916979456548
0.28107.3643541304031.23971494278472
0.29107.6435513091291.16432978435793
0.3107.9015898897771.0713416812997
0.31108.1356322745260.967302268053362
0.32108.3444171211160.859473465674111
0.33108.5282218049490.754674131759554
0.34108.6886595931530.658785449323165
0.35108.8283630828290.575760313574899
0.36108.9506196766430.508367490708776
0.37109.0590239515690.457396879441552
0.38109.1571971907050.422697861155914
0.39109.2486013948890.403043047753757
0.4109.3364502611870.397641239189382
0.41109.4236983733670.405006018083772
0.42109.5130756501650.424587700204295
0.43109.6071285152340.455721315245283
0.44109.7082325588660.497933023592152
0.45109.8185529855160.550120683508825
0.46109.9399471431890.610661457675776
0.47110.0738247000740.676773657109758
0.48110.2210007510560.744994613981994
0.49110.3815895165610.811277608873456
0.5110.5549861514940.871539710914852
0.51110.7399689860570.923196115249142
0.52110.9349260980940.964569275126984
0.53111.1381750316850.996082680261512
0.54111.3483126190451.0204613405891
0.55111.5645135115821.04152633007676
0.56111.7866984001721.06411348602692
0.57112.0155175190781.09220225221747
0.58112.2521368811991.12823798855644
0.59112.4978635600871.17193608648109
0.6112.7536896263981.22015598387429
0.61113.0198605145061.26768920251405
0.62113.2955750926611.30804365765684
0.63113.578899869951.33538005838031
0.64113.8669333466641.34492453722481
0.65114.1561988223151.33520960625618
0.66114.4431887060311.30708704315184
0.67114.724944271671.26471297630725
0.68114.9995419471281.21449187019681
0.69115.2663741145261.16364357683394
0.7115.5261550245681.1191953886385
0.71115.7806409209341.08566362348108
0.72116.0321154006031.06499106205072
0.73116.2827446057571.05507346559641
0.74116.5339423243471.05103195040934
0.75116.785894491111.04566079669488
0.76117.0373695192391.03228418324441
0.77117.2858828222371.0049705218749
0.78117.5281972247780.96172809808732
0.79117.7610455506550.903493313043675
0.8117.9818889898570.835264413629868
0.81118.1895064297120.763761764201235
0.82118.3842594179810.696562815431084
0.83118.5679771744740.639707838411859
0.84118.7435112727930.59626146297346
0.85118.914073689940.566183204527199
0.86119.0824799842320.546487678690496
0.87119.2504030088520.532005848074777
0.88119.4177544274140.515990242138589
0.89119.5823678353660.491337888306892
0.9119.7401973460420.452560856179257
0.91119.8861627339340.398083290556767
0.92120.0155280281470.331459927162298
0.93120.1254237545760.260688877067796
0.94120.2160529692410.195412203268652
0.95120.2913864148450.144325896010986
0.96120.359636088280.113911349657372
0.97120.4339604922720.10814759371449
0.98120.5309056689380.128927594299282
0.99120.6532177143940.177724385886129

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.838165708432 & 0.397453453382547 \tabularnewline
0.02 & 101.184570807823 & 0.548141654714412 \tabularnewline
0.03 & 101.565702039484 & 0.582878388129317 \tabularnewline
0.04 & 101.903979978464 & 0.504643421309443 \tabularnewline
0.05 & 102.166533910531 & 0.386505558715288 \tabularnewline
0.06 & 102.35572596923 & 0.289343823587294 \tabularnewline
0.07 & 102.492756820431 & 0.240811832500985 \tabularnewline
0.08 & 102.602690692059 & 0.243394237728464 \tabularnewline
0.09 & 102.706651294279 & 0.287897428451745 \tabularnewline
0.1 & 102.819932300462 & 0.363442519773795 \tabularnewline
0.11 & 102.952438182945 & 0.45860944390743 \tabularnewline
0.12 & 103.109304813666 & 0.561019620300033 \tabularnewline
0.13 & 103.29137650406 & 0.65785320163643 \tabularnewline
0.14 & 103.49598131651 & 0.739072773720787 \tabularnewline
0.15 & 103.718286221365 & 0.800900739788558 \tabularnewline
0.16 & 103.953036045673 & 0.84605083509941 \tabularnewline
0.17 & 104.196155524163 & 0.882921781045398 \tabularnewline
0.18 & 104.445700437129 & 0.921693195967496 \tabularnewline
0.19 & 104.701917500004 & 0.970224518436748 \tabularnewline
0.2 & 104.966526350342 & 1.03076338884517 \tabularnewline
0.21 & 105.241588892397 & 1.10050575925577 \tabularnewline
0.22 & 105.528392536418 & 1.17213305541431 \tabularnewline
0.23 & 105.82666694424 & 1.2368799500538 \tabularnewline
0.24 & 106.134270052463 & 1.28671136471976 \tabularnewline
0.25 & 106.447313699441 & 1.31482946139696 \tabularnewline
0.26 & 106.760605040833 & 1.31713856135843 \tabularnewline
0.27 & 107.068258461243 & 1.2916979456548 \tabularnewline
0.28 & 107.364354130403 & 1.23971494278472 \tabularnewline
0.29 & 107.643551309129 & 1.16432978435793 \tabularnewline
0.3 & 107.901589889777 & 1.0713416812997 \tabularnewline
0.31 & 108.135632274526 & 0.967302268053362 \tabularnewline
0.32 & 108.344417121116 & 0.859473465674111 \tabularnewline
0.33 & 108.528221804949 & 0.754674131759554 \tabularnewline
0.34 & 108.688659593153 & 0.658785449323165 \tabularnewline
0.35 & 108.828363082829 & 0.575760313574899 \tabularnewline
0.36 & 108.950619676643 & 0.508367490708776 \tabularnewline
0.37 & 109.059023951569 & 0.457396879441552 \tabularnewline
0.38 & 109.157197190705 & 0.422697861155914 \tabularnewline
0.39 & 109.248601394889 & 0.403043047753757 \tabularnewline
0.4 & 109.336450261187 & 0.397641239189382 \tabularnewline
0.41 & 109.423698373367 & 0.405006018083772 \tabularnewline
0.42 & 109.513075650165 & 0.424587700204295 \tabularnewline
0.43 & 109.607128515234 & 0.455721315245283 \tabularnewline
0.44 & 109.708232558866 & 0.497933023592152 \tabularnewline
0.45 & 109.818552985516 & 0.550120683508825 \tabularnewline
0.46 & 109.939947143189 & 0.610661457675776 \tabularnewline
0.47 & 110.073824700074 & 0.676773657109758 \tabularnewline
0.48 & 110.221000751056 & 0.744994613981994 \tabularnewline
0.49 & 110.381589516561 & 0.811277608873456 \tabularnewline
0.5 & 110.554986151494 & 0.871539710914852 \tabularnewline
0.51 & 110.739968986057 & 0.923196115249142 \tabularnewline
0.52 & 110.934926098094 & 0.964569275126984 \tabularnewline
0.53 & 111.138175031685 & 0.996082680261512 \tabularnewline
0.54 & 111.348312619045 & 1.0204613405891 \tabularnewline
0.55 & 111.564513511582 & 1.04152633007676 \tabularnewline
0.56 & 111.786698400172 & 1.06411348602692 \tabularnewline
0.57 & 112.015517519078 & 1.09220225221747 \tabularnewline
0.58 & 112.252136881199 & 1.12823798855644 \tabularnewline
0.59 & 112.497863560087 & 1.17193608648109 \tabularnewline
0.6 & 112.753689626398 & 1.22015598387429 \tabularnewline
0.61 & 113.019860514506 & 1.26768920251405 \tabularnewline
0.62 & 113.295575092661 & 1.30804365765684 \tabularnewline
0.63 & 113.57889986995 & 1.33538005838031 \tabularnewline
0.64 & 113.866933346664 & 1.34492453722481 \tabularnewline
0.65 & 114.156198822315 & 1.33520960625618 \tabularnewline
0.66 & 114.443188706031 & 1.30708704315184 \tabularnewline
0.67 & 114.72494427167 & 1.26471297630725 \tabularnewline
0.68 & 114.999541947128 & 1.21449187019681 \tabularnewline
0.69 & 115.266374114526 & 1.16364357683394 \tabularnewline
0.7 & 115.526155024568 & 1.1191953886385 \tabularnewline
0.71 & 115.780640920934 & 1.08566362348108 \tabularnewline
0.72 & 116.032115400603 & 1.06499106205072 \tabularnewline
0.73 & 116.282744605757 & 1.05507346559641 \tabularnewline
0.74 & 116.533942324347 & 1.05103195040934 \tabularnewline
0.75 & 116.78589449111 & 1.04566079669488 \tabularnewline
0.76 & 117.037369519239 & 1.03228418324441 \tabularnewline
0.77 & 117.285882822237 & 1.0049705218749 \tabularnewline
0.78 & 117.528197224778 & 0.96172809808732 \tabularnewline
0.79 & 117.761045550655 & 0.903493313043675 \tabularnewline
0.8 & 117.981888989857 & 0.835264413629868 \tabularnewline
0.81 & 118.189506429712 & 0.763761764201235 \tabularnewline
0.82 & 118.384259417981 & 0.696562815431084 \tabularnewline
0.83 & 118.567977174474 & 0.639707838411859 \tabularnewline
0.84 & 118.743511272793 & 0.59626146297346 \tabularnewline
0.85 & 118.91407368994 & 0.566183204527199 \tabularnewline
0.86 & 119.082479984232 & 0.546487678690496 \tabularnewline
0.87 & 119.250403008852 & 0.532005848074777 \tabularnewline
0.88 & 119.417754427414 & 0.515990242138589 \tabularnewline
0.89 & 119.582367835366 & 0.491337888306892 \tabularnewline
0.9 & 119.740197346042 & 0.452560856179257 \tabularnewline
0.91 & 119.886162733934 & 0.398083290556767 \tabularnewline
0.92 & 120.015528028147 & 0.331459927162298 \tabularnewline
0.93 & 120.125423754576 & 0.260688877067796 \tabularnewline
0.94 & 120.216052969241 & 0.195412203268652 \tabularnewline
0.95 & 120.291386414845 & 0.144325896010986 \tabularnewline
0.96 & 120.35963608828 & 0.113911349657372 \tabularnewline
0.97 & 120.433960492272 & 0.10814759371449 \tabularnewline
0.98 & 120.530905668938 & 0.128927594299282 \tabularnewline
0.99 & 120.653217714394 & 0.177724385886129 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277714&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]100.838165708432[/C][C]0.397453453382547[/C][/ROW]
[ROW][C]0.02[/C][C]101.184570807823[/C][C]0.548141654714412[/C][/ROW]
[ROW][C]0.03[/C][C]101.565702039484[/C][C]0.582878388129317[/C][/ROW]
[ROW][C]0.04[/C][C]101.903979978464[/C][C]0.504643421309443[/C][/ROW]
[ROW][C]0.05[/C][C]102.166533910531[/C][C]0.386505558715288[/C][/ROW]
[ROW][C]0.06[/C][C]102.35572596923[/C][C]0.289343823587294[/C][/ROW]
[ROW][C]0.07[/C][C]102.492756820431[/C][C]0.240811832500985[/C][/ROW]
[ROW][C]0.08[/C][C]102.602690692059[/C][C]0.243394237728464[/C][/ROW]
[ROW][C]0.09[/C][C]102.706651294279[/C][C]0.287897428451745[/C][/ROW]
[ROW][C]0.1[/C][C]102.819932300462[/C][C]0.363442519773795[/C][/ROW]
[ROW][C]0.11[/C][C]102.952438182945[/C][C]0.45860944390743[/C][/ROW]
[ROW][C]0.12[/C][C]103.109304813666[/C][C]0.561019620300033[/C][/ROW]
[ROW][C]0.13[/C][C]103.29137650406[/C][C]0.65785320163643[/C][/ROW]
[ROW][C]0.14[/C][C]103.49598131651[/C][C]0.739072773720787[/C][/ROW]
[ROW][C]0.15[/C][C]103.718286221365[/C][C]0.800900739788558[/C][/ROW]
[ROW][C]0.16[/C][C]103.953036045673[/C][C]0.84605083509941[/C][/ROW]
[ROW][C]0.17[/C][C]104.196155524163[/C][C]0.882921781045398[/C][/ROW]
[ROW][C]0.18[/C][C]104.445700437129[/C][C]0.921693195967496[/C][/ROW]
[ROW][C]0.19[/C][C]104.701917500004[/C][C]0.970224518436748[/C][/ROW]
[ROW][C]0.2[/C][C]104.966526350342[/C][C]1.03076338884517[/C][/ROW]
[ROW][C]0.21[/C][C]105.241588892397[/C][C]1.10050575925577[/C][/ROW]
[ROW][C]0.22[/C][C]105.528392536418[/C][C]1.17213305541431[/C][/ROW]
[ROW][C]0.23[/C][C]105.82666694424[/C][C]1.2368799500538[/C][/ROW]
[ROW][C]0.24[/C][C]106.134270052463[/C][C]1.28671136471976[/C][/ROW]
[ROW][C]0.25[/C][C]106.447313699441[/C][C]1.31482946139696[/C][/ROW]
[ROW][C]0.26[/C][C]106.760605040833[/C][C]1.31713856135843[/C][/ROW]
[ROW][C]0.27[/C][C]107.068258461243[/C][C]1.2916979456548[/C][/ROW]
[ROW][C]0.28[/C][C]107.364354130403[/C][C]1.23971494278472[/C][/ROW]
[ROW][C]0.29[/C][C]107.643551309129[/C][C]1.16432978435793[/C][/ROW]
[ROW][C]0.3[/C][C]107.901589889777[/C][C]1.0713416812997[/C][/ROW]
[ROW][C]0.31[/C][C]108.135632274526[/C][C]0.967302268053362[/C][/ROW]
[ROW][C]0.32[/C][C]108.344417121116[/C][C]0.859473465674111[/C][/ROW]
[ROW][C]0.33[/C][C]108.528221804949[/C][C]0.754674131759554[/C][/ROW]
[ROW][C]0.34[/C][C]108.688659593153[/C][C]0.658785449323165[/C][/ROW]
[ROW][C]0.35[/C][C]108.828363082829[/C][C]0.575760313574899[/C][/ROW]
[ROW][C]0.36[/C][C]108.950619676643[/C][C]0.508367490708776[/C][/ROW]
[ROW][C]0.37[/C][C]109.059023951569[/C][C]0.457396879441552[/C][/ROW]
[ROW][C]0.38[/C][C]109.157197190705[/C][C]0.422697861155914[/C][/ROW]
[ROW][C]0.39[/C][C]109.248601394889[/C][C]0.403043047753757[/C][/ROW]
[ROW][C]0.4[/C][C]109.336450261187[/C][C]0.397641239189382[/C][/ROW]
[ROW][C]0.41[/C][C]109.423698373367[/C][C]0.405006018083772[/C][/ROW]
[ROW][C]0.42[/C][C]109.513075650165[/C][C]0.424587700204295[/C][/ROW]
[ROW][C]0.43[/C][C]109.607128515234[/C][C]0.455721315245283[/C][/ROW]
[ROW][C]0.44[/C][C]109.708232558866[/C][C]0.497933023592152[/C][/ROW]
[ROW][C]0.45[/C][C]109.818552985516[/C][C]0.550120683508825[/C][/ROW]
[ROW][C]0.46[/C][C]109.939947143189[/C][C]0.610661457675776[/C][/ROW]
[ROW][C]0.47[/C][C]110.073824700074[/C][C]0.676773657109758[/C][/ROW]
[ROW][C]0.48[/C][C]110.221000751056[/C][C]0.744994613981994[/C][/ROW]
[ROW][C]0.49[/C][C]110.381589516561[/C][C]0.811277608873456[/C][/ROW]
[ROW][C]0.5[/C][C]110.554986151494[/C][C]0.871539710914852[/C][/ROW]
[ROW][C]0.51[/C][C]110.739968986057[/C][C]0.923196115249142[/C][/ROW]
[ROW][C]0.52[/C][C]110.934926098094[/C][C]0.964569275126984[/C][/ROW]
[ROW][C]0.53[/C][C]111.138175031685[/C][C]0.996082680261512[/C][/ROW]
[ROW][C]0.54[/C][C]111.348312619045[/C][C]1.0204613405891[/C][/ROW]
[ROW][C]0.55[/C][C]111.564513511582[/C][C]1.04152633007676[/C][/ROW]
[ROW][C]0.56[/C][C]111.786698400172[/C][C]1.06411348602692[/C][/ROW]
[ROW][C]0.57[/C][C]112.015517519078[/C][C]1.09220225221747[/C][/ROW]
[ROW][C]0.58[/C][C]112.252136881199[/C][C]1.12823798855644[/C][/ROW]
[ROW][C]0.59[/C][C]112.497863560087[/C][C]1.17193608648109[/C][/ROW]
[ROW][C]0.6[/C][C]112.753689626398[/C][C]1.22015598387429[/C][/ROW]
[ROW][C]0.61[/C][C]113.019860514506[/C][C]1.26768920251405[/C][/ROW]
[ROW][C]0.62[/C][C]113.295575092661[/C][C]1.30804365765684[/C][/ROW]
[ROW][C]0.63[/C][C]113.57889986995[/C][C]1.33538005838031[/C][/ROW]
[ROW][C]0.64[/C][C]113.866933346664[/C][C]1.34492453722481[/C][/ROW]
[ROW][C]0.65[/C][C]114.156198822315[/C][C]1.33520960625618[/C][/ROW]
[ROW][C]0.66[/C][C]114.443188706031[/C][C]1.30708704315184[/C][/ROW]
[ROW][C]0.67[/C][C]114.72494427167[/C][C]1.26471297630725[/C][/ROW]
[ROW][C]0.68[/C][C]114.999541947128[/C][C]1.21449187019681[/C][/ROW]
[ROW][C]0.69[/C][C]115.266374114526[/C][C]1.16364357683394[/C][/ROW]
[ROW][C]0.7[/C][C]115.526155024568[/C][C]1.1191953886385[/C][/ROW]
[ROW][C]0.71[/C][C]115.780640920934[/C][C]1.08566362348108[/C][/ROW]
[ROW][C]0.72[/C][C]116.032115400603[/C][C]1.06499106205072[/C][/ROW]
[ROW][C]0.73[/C][C]116.282744605757[/C][C]1.05507346559641[/C][/ROW]
[ROW][C]0.74[/C][C]116.533942324347[/C][C]1.05103195040934[/C][/ROW]
[ROW][C]0.75[/C][C]116.78589449111[/C][C]1.04566079669488[/C][/ROW]
[ROW][C]0.76[/C][C]117.037369519239[/C][C]1.03228418324441[/C][/ROW]
[ROW][C]0.77[/C][C]117.285882822237[/C][C]1.0049705218749[/C][/ROW]
[ROW][C]0.78[/C][C]117.528197224778[/C][C]0.96172809808732[/C][/ROW]
[ROW][C]0.79[/C][C]117.761045550655[/C][C]0.903493313043675[/C][/ROW]
[ROW][C]0.8[/C][C]117.981888989857[/C][C]0.835264413629868[/C][/ROW]
[ROW][C]0.81[/C][C]118.189506429712[/C][C]0.763761764201235[/C][/ROW]
[ROW][C]0.82[/C][C]118.384259417981[/C][C]0.696562815431084[/C][/ROW]
[ROW][C]0.83[/C][C]118.567977174474[/C][C]0.639707838411859[/C][/ROW]
[ROW][C]0.84[/C][C]118.743511272793[/C][C]0.59626146297346[/C][/ROW]
[ROW][C]0.85[/C][C]118.91407368994[/C][C]0.566183204527199[/C][/ROW]
[ROW][C]0.86[/C][C]119.082479984232[/C][C]0.546487678690496[/C][/ROW]
[ROW][C]0.87[/C][C]119.250403008852[/C][C]0.532005848074777[/C][/ROW]
[ROW][C]0.88[/C][C]119.417754427414[/C][C]0.515990242138589[/C][/ROW]
[ROW][C]0.89[/C][C]119.582367835366[/C][C]0.491337888306892[/C][/ROW]
[ROW][C]0.9[/C][C]119.740197346042[/C][C]0.452560856179257[/C][/ROW]
[ROW][C]0.91[/C][C]119.886162733934[/C][C]0.398083290556767[/C][/ROW]
[ROW][C]0.92[/C][C]120.015528028147[/C][C]0.331459927162298[/C][/ROW]
[ROW][C]0.93[/C][C]120.125423754576[/C][C]0.260688877067796[/C][/ROW]
[ROW][C]0.94[/C][C]120.216052969241[/C][C]0.195412203268652[/C][/ROW]
[ROW][C]0.95[/C][C]120.291386414845[/C][C]0.144325896010986[/C][/ROW]
[ROW][C]0.96[/C][C]120.35963608828[/C][C]0.113911349657372[/C][/ROW]
[ROW][C]0.97[/C][C]120.433960492272[/C][C]0.10814759371449[/C][/ROW]
[ROW][C]0.98[/C][C]120.530905668938[/C][C]0.128927594299282[/C][/ROW]
[ROW][C]0.99[/C][C]120.653217714394[/C][C]0.177724385886129[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277714&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277714&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
0.01100.8381657084320.397453453382547
0.02101.1845708078230.548141654714412
0.03101.5657020394840.582878388129317
0.04101.9039799784640.504643421309443
0.05102.1665339105310.386505558715288
0.06102.355725969230.289343823587294
0.07102.4927568204310.240811832500985
0.08102.6026906920590.243394237728464
0.09102.7066512942790.287897428451745
0.1102.8199323004620.363442519773795
0.11102.9524381829450.45860944390743
0.12103.1093048136660.561019620300033
0.13103.291376504060.65785320163643
0.14103.495981316510.739072773720787
0.15103.7182862213650.800900739788558
0.16103.9530360456730.84605083509941
0.17104.1961555241630.882921781045398
0.18104.4457004371290.921693195967496
0.19104.7019175000040.970224518436748
0.2104.9665263503421.03076338884517
0.21105.2415888923971.10050575925577
0.22105.5283925364181.17213305541431
0.23105.826666944241.2368799500538
0.24106.1342700524631.28671136471976
0.25106.4473136994411.31482946139696
0.26106.7606050408331.31713856135843
0.27107.0682584612431.2916979456548
0.28107.3643541304031.23971494278472
0.29107.6435513091291.16432978435793
0.3107.9015898897771.0713416812997
0.31108.1356322745260.967302268053362
0.32108.3444171211160.859473465674111
0.33108.5282218049490.754674131759554
0.34108.6886595931530.658785449323165
0.35108.8283630828290.575760313574899
0.36108.9506196766430.508367490708776
0.37109.0590239515690.457396879441552
0.38109.1571971907050.422697861155914
0.39109.2486013948890.403043047753757
0.4109.3364502611870.397641239189382
0.41109.4236983733670.405006018083772
0.42109.5130756501650.424587700204295
0.43109.6071285152340.455721315245283
0.44109.7082325588660.497933023592152
0.45109.8185529855160.550120683508825
0.46109.9399471431890.610661457675776
0.47110.0738247000740.676773657109758
0.48110.2210007510560.744994613981994
0.49110.3815895165610.811277608873456
0.5110.5549861514940.871539710914852
0.51110.7399689860570.923196115249142
0.52110.9349260980940.964569275126984
0.53111.1381750316850.996082680261512
0.54111.3483126190451.0204613405891
0.55111.5645135115821.04152633007676
0.56111.7866984001721.06411348602692
0.57112.0155175190781.09220225221747
0.58112.2521368811991.12823798855644
0.59112.4978635600871.17193608648109
0.6112.7536896263981.22015598387429
0.61113.0198605145061.26768920251405
0.62113.2955750926611.30804365765684
0.63113.578899869951.33538005838031
0.64113.8669333466641.34492453722481
0.65114.1561988223151.33520960625618
0.66114.4431887060311.30708704315184
0.67114.724944271671.26471297630725
0.68114.9995419471281.21449187019681
0.69115.2663741145261.16364357683394
0.7115.5261550245681.1191953886385
0.71115.7806409209341.08566362348108
0.72116.0321154006031.06499106205072
0.73116.2827446057571.05507346559641
0.74116.5339423243471.05103195040934
0.75116.785894491111.04566079669488
0.76117.0373695192391.03228418324441
0.77117.2858828222371.0049705218749
0.78117.5281972247780.96172809808732
0.79117.7610455506550.903493313043675
0.8117.9818889898570.835264413629868
0.81118.1895064297120.763761764201235
0.82118.3842594179810.696562815431084
0.83118.5679771744740.639707838411859
0.84118.7435112727930.59626146297346
0.85118.914073689940.566183204527199
0.86119.0824799842320.546487678690496
0.87119.2504030088520.532005848074777
0.88119.4177544274140.515990242138589
0.89119.5823678353660.491337888306892
0.9119.7401973460420.452560856179257
0.91119.8861627339340.398083290556767
0.92120.0155280281470.331459927162298
0.93120.1254237545760.260688877067796
0.94120.2160529692410.195412203268652
0.95120.2913864148450.144325896010986
0.96120.359636088280.113911349657372
0.97120.4339604922720.10814759371449
0.98120.5309056689380.128927594299282
0.99120.6532177143940.177724385886129


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')