FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 12 Feb 2015 18:17:47 +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/12/t1423765237m4gfhj7w5p5ujpo.htm/, Retrieved Tue, 21 May 2024 14:51:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277229, Retrieved Tue, 21 May 2024 14:51:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57

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] [decielen consumpt...] [2015-02-12 18:17:47] [b81b5adcb18a6dd731e9cb79a54989dd] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101,94
102,62
102,71
103,39
104,51
104,09
104,29
104,57
105,39
105,15
106,13
105,46
106,47
106,62
106,52
108,04
107,15
107,32
107,76
107,26
107,89
109,08
110,4
111,03
112,05
112,28
112,8
114,17
114,92
114,65
115,49
114,67
114,71
115,15
115,03
115,07
116,46
116,37
116,2
116,5
116,38
115,44
114,96
114,48
114,3
114,66
114,97
114,79
116,16
116,52
117,14
117,27
117,58
117,21
117,08
117,06
117,55
117,61
117,74
117,87
118,59
119,09
118,93
119,62
120,09
120,38
120,49
120,02
120,17
120,58
121,54
121,51
121,81
122,85
122,97
122,96
123,4
123,23
123,24
123,72
123,99
125,1
125,4
125,35
126,37
127,17
127,66
128,48
129,21
129,48
128,63
128,16
128,1
128,08
128,14
128,19

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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277229&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277229&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277229&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.2344645606140.546732738624227
0.02102.6557599093130.554806860461967
0.03103.0816876058430.671093785398437
0.04103.4922483379160.726696981318249
0.05103.8760116761190.709131860307928
0.06104.222499727520.678799938040688
0.07104.5350447087340.678392322004756
0.08104.8265514814680.70941505771569
0.09105.1092903505010.752583097110614
0.1105.3896909772240.791358161658043
0.11105.6688371830740.81837939007536
0.12105.945458015130.835871474664828
0.13106.2188764886560.85278539671525
0.14106.4908907168050.881995253169095
0.15106.7664680339960.937785397004024
0.16107.0534392221571.0310953543949
0.17107.3614303560311.16723607098047
0.18107.7002821409631.34323580651351
0.19108.0782434917391.54774167600033
0.2108.5002702809961.76335780217987
0.21108.9667677446141.96845150707658
0.22109.4730477346752.14121031906784
0.23110.0096241482052.26315223177437
0.24110.5632791013082.32134680457053
0.25111.1186629672.31079142474625
0.26111.6600992911442.23379810111701
0.27112.1732706097362.0989714338407
0.28112.6465426608721.9192903507069
0.29113.0717994081581.71048582702369
0.3113.4447689601571.48874201931231
0.31113.764898158041.26930176049713
0.32114.0348777361211.06499657788089
0.33114.2599376098840.885672539321255
0.34114.44703135550.738287438063161
0.35114.6040155586770.626557345901994
0.36114.7389065326420.550783613160119
0.37114.8592677548390.508894048613496
0.38114.9717520301810.496215041136805
0.39115.081799103910.505808005900877
0.4115.1934760801160.530380074924048
0.41115.3094440952010.562658073883178
0.42115.4310359086610.596606067054988
0.43115.558429752480.627054548104064
0.44115.6909011326440.650463221194529
0.45115.8271263672370.665336704670325
0.46115.96550320290.671174784586013
0.47116.1044500838280.668951139784611
0.48116.2426502983880.660848831574664
0.49116.3792203932870.649693145105389
0.5116.5138000278740.637945231978885
0.51116.6465765759010.62840547097637
0.52116.7782664094330.623399378129983
0.53116.9100730880860.625053504389606
0.54117.0436321212490.635394257530754
0.55117.1809378511520.65578515427075
0.56117.3242372935270.687846033262153
0.57117.4758743812490.731525271204099
0.58117.6380784677230.785558984412125
0.59117.8127110544070.84759591503029
0.6118.0010082059650.913335946317028
0.61118.2033743129130.978204087086233
0.62118.4192873898611.03688242173275
0.63118.6473618113421.08518694462763
0.64118.8855816024441.12053600520858
0.65119.1316727429971.14254149737374
0.66119.3835383244831.15335048432116
0.67119.6396501222521.15706840768155
0.68119.8992867200441.15863613491556
0.69120.162538086031.1623123693858
0.7120.4300564084921.1712260603341
0.71120.7026098035121.18463325356166
0.72120.9805679418371.1993334019243
0.73121.2634925310251.21001888076997
0.74121.5500009136331.211297307952
0.75121.8380093773221.19961802754203
0.76122.1253529878561.1747243946914
0.77122.4106486075721.14156870808238
0.78122.6941591315171.10832052686153
0.79122.9783736205671.08651991527612
0.8123.268067477281.08652373657004
0.81123.5697426133171.11436970840956
0.82123.8905223103661.16929057793906
0.83124.2367158943081.24361578577665
0.84124.6123141967121.32482101335952
0.85125.0176270315671.39755387918244
0.86125.4482044808021.44561812869515
0.87125.8942033181071.45281179159629
0.88126.3405092073681.40504687096741
0.89126.768088547951.29430951531846
0.9127.1569717002051.12373339416724
0.91127.4907570425930.910718906383235
0.92127.7616532532420.686213532638881
0.93127.9743181614030.487665138906404
0.94128.1467699673050.350358078531248
0.95128.3076894557430.296853584900796
0.96128.4904606339910.320731325830941
0.97128.7230751049750.38346668314692
0.98129.0094879096420.418690482747537
0.99129.3000612351470.355940413587397

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.234464560614 & 0.546732738624227 \tabularnewline
0.02 & 102.655759909313 & 0.554806860461967 \tabularnewline
0.03 & 103.081687605843 & 0.671093785398437 \tabularnewline
0.04 & 103.492248337916 & 0.726696981318249 \tabularnewline
0.05 & 103.876011676119 & 0.709131860307928 \tabularnewline
0.06 & 104.22249972752 & 0.678799938040688 \tabularnewline
0.07 & 104.535044708734 & 0.678392322004756 \tabularnewline
0.08 & 104.826551481468 & 0.70941505771569 \tabularnewline
0.09 & 105.109290350501 & 0.752583097110614 \tabularnewline
0.1 & 105.389690977224 & 0.791358161658043 \tabularnewline
0.11 & 105.668837183074 & 0.81837939007536 \tabularnewline
0.12 & 105.94545801513 & 0.835871474664828 \tabularnewline
0.13 & 106.218876488656 & 0.85278539671525 \tabularnewline
0.14 & 106.490890716805 & 0.881995253169095 \tabularnewline
0.15 & 106.766468033996 & 0.937785397004024 \tabularnewline
0.16 & 107.053439222157 & 1.0310953543949 \tabularnewline
0.17 & 107.361430356031 & 1.16723607098047 \tabularnewline
0.18 & 107.700282140963 & 1.34323580651351 \tabularnewline
0.19 & 108.078243491739 & 1.54774167600033 \tabularnewline
0.2 & 108.500270280996 & 1.76335780217987 \tabularnewline
0.21 & 108.966767744614 & 1.96845150707658 \tabularnewline
0.22 & 109.473047734675 & 2.14121031906784 \tabularnewline
0.23 & 110.009624148205 & 2.26315223177437 \tabularnewline
0.24 & 110.563279101308 & 2.32134680457053 \tabularnewline
0.25 & 111.118662967 & 2.31079142474625 \tabularnewline
0.26 & 111.660099291144 & 2.23379810111701 \tabularnewline
0.27 & 112.173270609736 & 2.0989714338407 \tabularnewline
0.28 & 112.646542660872 & 1.9192903507069 \tabularnewline
0.29 & 113.071799408158 & 1.71048582702369 \tabularnewline
0.3 & 113.444768960157 & 1.48874201931231 \tabularnewline
0.31 & 113.76489815804 & 1.26930176049713 \tabularnewline
0.32 & 114.034877736121 & 1.06499657788089 \tabularnewline
0.33 & 114.259937609884 & 0.885672539321255 \tabularnewline
0.34 & 114.4470313555 & 0.738287438063161 \tabularnewline
0.35 & 114.604015558677 & 0.626557345901994 \tabularnewline
0.36 & 114.738906532642 & 0.550783613160119 \tabularnewline
0.37 & 114.859267754839 & 0.508894048613496 \tabularnewline
0.38 & 114.971752030181 & 0.496215041136805 \tabularnewline
0.39 & 115.08179910391 & 0.505808005900877 \tabularnewline
0.4 & 115.193476080116 & 0.530380074924048 \tabularnewline
0.41 & 115.309444095201 & 0.562658073883178 \tabularnewline
0.42 & 115.431035908661 & 0.596606067054988 \tabularnewline
0.43 & 115.55842975248 & 0.627054548104064 \tabularnewline
0.44 & 115.690901132644 & 0.650463221194529 \tabularnewline
0.45 & 115.827126367237 & 0.665336704670325 \tabularnewline
0.46 & 115.9655032029 & 0.671174784586013 \tabularnewline
0.47 & 116.104450083828 & 0.668951139784611 \tabularnewline
0.48 & 116.242650298388 & 0.660848831574664 \tabularnewline
0.49 & 116.379220393287 & 0.649693145105389 \tabularnewline
0.5 & 116.513800027874 & 0.637945231978885 \tabularnewline
0.51 & 116.646576575901 & 0.62840547097637 \tabularnewline
0.52 & 116.778266409433 & 0.623399378129983 \tabularnewline
0.53 & 116.910073088086 & 0.625053504389606 \tabularnewline
0.54 & 117.043632121249 & 0.635394257530754 \tabularnewline
0.55 & 117.180937851152 & 0.65578515427075 \tabularnewline
0.56 & 117.324237293527 & 0.687846033262153 \tabularnewline
0.57 & 117.475874381249 & 0.731525271204099 \tabularnewline
0.58 & 117.638078467723 & 0.785558984412125 \tabularnewline
0.59 & 117.812711054407 & 0.84759591503029 \tabularnewline
0.6 & 118.001008205965 & 0.913335946317028 \tabularnewline
0.61 & 118.203374312913 & 0.978204087086233 \tabularnewline
0.62 & 118.419287389861 & 1.03688242173275 \tabularnewline
0.63 & 118.647361811342 & 1.08518694462763 \tabularnewline
0.64 & 118.885581602444 & 1.12053600520858 \tabularnewline
0.65 & 119.131672742997 & 1.14254149737374 \tabularnewline
0.66 & 119.383538324483 & 1.15335048432116 \tabularnewline
0.67 & 119.639650122252 & 1.15706840768155 \tabularnewline
0.68 & 119.899286720044 & 1.15863613491556 \tabularnewline
0.69 & 120.16253808603 & 1.1623123693858 \tabularnewline
0.7 & 120.430056408492 & 1.1712260603341 \tabularnewline
0.71 & 120.702609803512 & 1.18463325356166 \tabularnewline
0.72 & 120.980567941837 & 1.1993334019243 \tabularnewline
0.73 & 121.263492531025 & 1.21001888076997 \tabularnewline
0.74 & 121.550000913633 & 1.211297307952 \tabularnewline
0.75 & 121.838009377322 & 1.19961802754203 \tabularnewline
0.76 & 122.125352987856 & 1.1747243946914 \tabularnewline
0.77 & 122.410648607572 & 1.14156870808238 \tabularnewline
0.78 & 122.694159131517 & 1.10832052686153 \tabularnewline
0.79 & 122.978373620567 & 1.08651991527612 \tabularnewline
0.8 & 123.26806747728 & 1.08652373657004 \tabularnewline
0.81 & 123.569742613317 & 1.11436970840956 \tabularnewline
0.82 & 123.890522310366 & 1.16929057793906 \tabularnewline
0.83 & 124.236715894308 & 1.24361578577665 \tabularnewline
0.84 & 124.612314196712 & 1.32482101335952 \tabularnewline
0.85 & 125.017627031567 & 1.39755387918244 \tabularnewline
0.86 & 125.448204480802 & 1.44561812869515 \tabularnewline
0.87 & 125.894203318107 & 1.45281179159629 \tabularnewline
0.88 & 126.340509207368 & 1.40504687096741 \tabularnewline
0.89 & 126.76808854795 & 1.29430951531846 \tabularnewline
0.9 & 127.156971700205 & 1.12373339416724 \tabularnewline
0.91 & 127.490757042593 & 0.910718906383235 \tabularnewline
0.92 & 127.761653253242 & 0.686213532638881 \tabularnewline
0.93 & 127.974318161403 & 0.487665138906404 \tabularnewline
0.94 & 128.146769967305 & 0.350358078531248 \tabularnewline
0.95 & 128.307689455743 & 0.296853584900796 \tabularnewline
0.96 & 128.490460633991 & 0.320731325830941 \tabularnewline
0.97 & 128.723075104975 & 0.38346668314692 \tabularnewline
0.98 & 129.009487909642 & 0.418690482747537 \tabularnewline
0.99 & 129.300061235147 & 0.355940413587397 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277229&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]102.234464560614[/C][C]0.546732738624227[/C][/ROW]
[ROW][C]0.02[/C][C]102.655759909313[/C][C]0.554806860461967[/C][/ROW]
[ROW][C]0.03[/C][C]103.081687605843[/C][C]0.671093785398437[/C][/ROW]
[ROW][C]0.04[/C][C]103.492248337916[/C][C]0.726696981318249[/C][/ROW]
[ROW][C]0.05[/C][C]103.876011676119[/C][C]0.709131860307928[/C][/ROW]
[ROW][C]0.06[/C][C]104.22249972752[/C][C]0.678799938040688[/C][/ROW]
[ROW][C]0.07[/C][C]104.535044708734[/C][C]0.678392322004756[/C][/ROW]
[ROW][C]0.08[/C][C]104.826551481468[/C][C]0.70941505771569[/C][/ROW]
[ROW][C]0.09[/C][C]105.109290350501[/C][C]0.752583097110614[/C][/ROW]
[ROW][C]0.1[/C][C]105.389690977224[/C][C]0.791358161658043[/C][/ROW]
[ROW][C]0.11[/C][C]105.668837183074[/C][C]0.81837939007536[/C][/ROW]
[ROW][C]0.12[/C][C]105.94545801513[/C][C]0.835871474664828[/C][/ROW]
[ROW][C]0.13[/C][C]106.218876488656[/C][C]0.85278539671525[/C][/ROW]
[ROW][C]0.14[/C][C]106.490890716805[/C][C]0.881995253169095[/C][/ROW]
[ROW][C]0.15[/C][C]106.766468033996[/C][C]0.937785397004024[/C][/ROW]
[ROW][C]0.16[/C][C]107.053439222157[/C][C]1.0310953543949[/C][/ROW]
[ROW][C]0.17[/C][C]107.361430356031[/C][C]1.16723607098047[/C][/ROW]
[ROW][C]0.18[/C][C]107.700282140963[/C][C]1.34323580651351[/C][/ROW]
[ROW][C]0.19[/C][C]108.078243491739[/C][C]1.54774167600033[/C][/ROW]
[ROW][C]0.2[/C][C]108.500270280996[/C][C]1.76335780217987[/C][/ROW]
[ROW][C]0.21[/C][C]108.966767744614[/C][C]1.96845150707658[/C][/ROW]
[ROW][C]0.22[/C][C]109.473047734675[/C][C]2.14121031906784[/C][/ROW]
[ROW][C]0.23[/C][C]110.009624148205[/C][C]2.26315223177437[/C][/ROW]
[ROW][C]0.24[/C][C]110.563279101308[/C][C]2.32134680457053[/C][/ROW]
[ROW][C]0.25[/C][C]111.118662967[/C][C]2.31079142474625[/C][/ROW]
[ROW][C]0.26[/C][C]111.660099291144[/C][C]2.23379810111701[/C][/ROW]
[ROW][C]0.27[/C][C]112.173270609736[/C][C]2.0989714338407[/C][/ROW]
[ROW][C]0.28[/C][C]112.646542660872[/C][C]1.9192903507069[/C][/ROW]
[ROW][C]0.29[/C][C]113.071799408158[/C][C]1.71048582702369[/C][/ROW]
[ROW][C]0.3[/C][C]113.444768960157[/C][C]1.48874201931231[/C][/ROW]
[ROW][C]0.31[/C][C]113.76489815804[/C][C]1.26930176049713[/C][/ROW]
[ROW][C]0.32[/C][C]114.034877736121[/C][C]1.06499657788089[/C][/ROW]
[ROW][C]0.33[/C][C]114.259937609884[/C][C]0.885672539321255[/C][/ROW]
[ROW][C]0.34[/C][C]114.4470313555[/C][C]0.738287438063161[/C][/ROW]
[ROW][C]0.35[/C][C]114.604015558677[/C][C]0.626557345901994[/C][/ROW]
[ROW][C]0.36[/C][C]114.738906532642[/C][C]0.550783613160119[/C][/ROW]
[ROW][C]0.37[/C][C]114.859267754839[/C][C]0.508894048613496[/C][/ROW]
[ROW][C]0.38[/C][C]114.971752030181[/C][C]0.496215041136805[/C][/ROW]
[ROW][C]0.39[/C][C]115.08179910391[/C][C]0.505808005900877[/C][/ROW]
[ROW][C]0.4[/C][C]115.193476080116[/C][C]0.530380074924048[/C][/ROW]
[ROW][C]0.41[/C][C]115.309444095201[/C][C]0.562658073883178[/C][/ROW]
[ROW][C]0.42[/C][C]115.431035908661[/C][C]0.596606067054988[/C][/ROW]
[ROW][C]0.43[/C][C]115.55842975248[/C][C]0.627054548104064[/C][/ROW]
[ROW][C]0.44[/C][C]115.690901132644[/C][C]0.650463221194529[/C][/ROW]
[ROW][C]0.45[/C][C]115.827126367237[/C][C]0.665336704670325[/C][/ROW]
[ROW][C]0.46[/C][C]115.9655032029[/C][C]0.671174784586013[/C][/ROW]
[ROW][C]0.47[/C][C]116.104450083828[/C][C]0.668951139784611[/C][/ROW]
[ROW][C]0.48[/C][C]116.242650298388[/C][C]0.660848831574664[/C][/ROW]
[ROW][C]0.49[/C][C]116.379220393287[/C][C]0.649693145105389[/C][/ROW]
[ROW][C]0.5[/C][C]116.513800027874[/C][C]0.637945231978885[/C][/ROW]
[ROW][C]0.51[/C][C]116.646576575901[/C][C]0.62840547097637[/C][/ROW]
[ROW][C]0.52[/C][C]116.778266409433[/C][C]0.623399378129983[/C][/ROW]
[ROW][C]0.53[/C][C]116.910073088086[/C][C]0.625053504389606[/C][/ROW]
[ROW][C]0.54[/C][C]117.043632121249[/C][C]0.635394257530754[/C][/ROW]
[ROW][C]0.55[/C][C]117.180937851152[/C][C]0.65578515427075[/C][/ROW]
[ROW][C]0.56[/C][C]117.324237293527[/C][C]0.687846033262153[/C][/ROW]
[ROW][C]0.57[/C][C]117.475874381249[/C][C]0.731525271204099[/C][/ROW]
[ROW][C]0.58[/C][C]117.638078467723[/C][C]0.785558984412125[/C][/ROW]
[ROW][C]0.59[/C][C]117.812711054407[/C][C]0.84759591503029[/C][/ROW]
[ROW][C]0.6[/C][C]118.001008205965[/C][C]0.913335946317028[/C][/ROW]
[ROW][C]0.61[/C][C]118.203374312913[/C][C]0.978204087086233[/C][/ROW]
[ROW][C]0.62[/C][C]118.419287389861[/C][C]1.03688242173275[/C][/ROW]
[ROW][C]0.63[/C][C]118.647361811342[/C][C]1.08518694462763[/C][/ROW]
[ROW][C]0.64[/C][C]118.885581602444[/C][C]1.12053600520858[/C][/ROW]
[ROW][C]0.65[/C][C]119.131672742997[/C][C]1.14254149737374[/C][/ROW]
[ROW][C]0.66[/C][C]119.383538324483[/C][C]1.15335048432116[/C][/ROW]
[ROW][C]0.67[/C][C]119.639650122252[/C][C]1.15706840768155[/C][/ROW]
[ROW][C]0.68[/C][C]119.899286720044[/C][C]1.15863613491556[/C][/ROW]
[ROW][C]0.69[/C][C]120.16253808603[/C][C]1.1623123693858[/C][/ROW]
[ROW][C]0.7[/C][C]120.430056408492[/C][C]1.1712260603341[/C][/ROW]
[ROW][C]0.71[/C][C]120.702609803512[/C][C]1.18463325356166[/C][/ROW]
[ROW][C]0.72[/C][C]120.980567941837[/C][C]1.1993334019243[/C][/ROW]
[ROW][C]0.73[/C][C]121.263492531025[/C][C]1.21001888076997[/C][/ROW]
[ROW][C]0.74[/C][C]121.550000913633[/C][C]1.211297307952[/C][/ROW]
[ROW][C]0.75[/C][C]121.838009377322[/C][C]1.19961802754203[/C][/ROW]
[ROW][C]0.76[/C][C]122.125352987856[/C][C]1.1747243946914[/C][/ROW]
[ROW][C]0.77[/C][C]122.410648607572[/C][C]1.14156870808238[/C][/ROW]
[ROW][C]0.78[/C][C]122.694159131517[/C][C]1.10832052686153[/C][/ROW]
[ROW][C]0.79[/C][C]122.978373620567[/C][C]1.08651991527612[/C][/ROW]
[ROW][C]0.8[/C][C]123.26806747728[/C][C]1.08652373657004[/C][/ROW]
[ROW][C]0.81[/C][C]123.569742613317[/C][C]1.11436970840956[/C][/ROW]
[ROW][C]0.82[/C][C]123.890522310366[/C][C]1.16929057793906[/C][/ROW]
[ROW][C]0.83[/C][C]124.236715894308[/C][C]1.24361578577665[/C][/ROW]
[ROW][C]0.84[/C][C]124.612314196712[/C][C]1.32482101335952[/C][/ROW]
[ROW][C]0.85[/C][C]125.017627031567[/C][C]1.39755387918244[/C][/ROW]
[ROW][C]0.86[/C][C]125.448204480802[/C][C]1.44561812869515[/C][/ROW]
[ROW][C]0.87[/C][C]125.894203318107[/C][C]1.45281179159629[/C][/ROW]
[ROW][C]0.88[/C][C]126.340509207368[/C][C]1.40504687096741[/C][/ROW]
[ROW][C]0.89[/C][C]126.76808854795[/C][C]1.29430951531846[/C][/ROW]
[ROW][C]0.9[/C][C]127.156971700205[/C][C]1.12373339416724[/C][/ROW]
[ROW][C]0.91[/C][C]127.490757042593[/C][C]0.910718906383235[/C][/ROW]
[ROW][C]0.92[/C][C]127.761653253242[/C][C]0.686213532638881[/C][/ROW]
[ROW][C]0.93[/C][C]127.974318161403[/C][C]0.487665138906404[/C][/ROW]
[ROW][C]0.94[/C][C]128.146769967305[/C][C]0.350358078531248[/C][/ROW]
[ROW][C]0.95[/C][C]128.307689455743[/C][C]0.296853584900796[/C][/ROW]
[ROW][C]0.96[/C][C]128.490460633991[/C][C]0.320731325830941[/C][/ROW]
[ROW][C]0.97[/C][C]128.723075104975[/C][C]0.38346668314692[/C][/ROW]
[ROW][C]0.98[/C][C]129.009487909642[/C][C]0.418690482747537[/C][/ROW]
[ROW][C]0.99[/C][C]129.300061235147[/C][C]0.355940413587397[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277229&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277229&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
0.01102.2344645606140.546732738624227
0.02102.6557599093130.554806860461967
0.03103.0816876058430.671093785398437
0.04103.4922483379160.726696981318249
0.05103.8760116761190.709131860307928
0.06104.222499727520.678799938040688
0.07104.5350447087340.678392322004756
0.08104.8265514814680.70941505771569
0.09105.1092903505010.752583097110614
0.1105.3896909772240.791358161658043
0.11105.6688371830740.81837939007536
0.12105.945458015130.835871474664828
0.13106.2188764886560.85278539671525
0.14106.4908907168050.881995253169095
0.15106.7664680339960.937785397004024
0.16107.0534392221571.0310953543949
0.17107.3614303560311.16723607098047
0.18107.7002821409631.34323580651351
0.19108.0782434917391.54774167600033
0.2108.5002702809961.76335780217987
0.21108.9667677446141.96845150707658
0.22109.4730477346752.14121031906784
0.23110.0096241482052.26315223177437
0.24110.5632791013082.32134680457053
0.25111.1186629672.31079142474625
0.26111.6600992911442.23379810111701
0.27112.1732706097362.0989714338407
0.28112.6465426608721.9192903507069
0.29113.0717994081581.71048582702369
0.3113.4447689601571.48874201931231
0.31113.764898158041.26930176049713
0.32114.0348777361211.06499657788089
0.33114.2599376098840.885672539321255
0.34114.44703135550.738287438063161
0.35114.6040155586770.626557345901994
0.36114.7389065326420.550783613160119
0.37114.8592677548390.508894048613496
0.38114.9717520301810.496215041136805
0.39115.081799103910.505808005900877
0.4115.1934760801160.530380074924048
0.41115.3094440952010.562658073883178
0.42115.4310359086610.596606067054988
0.43115.558429752480.627054548104064
0.44115.6909011326440.650463221194529
0.45115.8271263672370.665336704670325
0.46115.96550320290.671174784586013
0.47116.1044500838280.668951139784611
0.48116.2426502983880.660848831574664
0.49116.3792203932870.649693145105389
0.5116.5138000278740.637945231978885
0.51116.6465765759010.62840547097637
0.52116.7782664094330.623399378129983
0.53116.9100730880860.625053504389606
0.54117.0436321212490.635394257530754
0.55117.1809378511520.65578515427075
0.56117.3242372935270.687846033262153
0.57117.4758743812490.731525271204099
0.58117.6380784677230.785558984412125
0.59117.8127110544070.84759591503029
0.6118.0010082059650.913335946317028
0.61118.2033743129130.978204087086233
0.62118.4192873898611.03688242173275
0.63118.6473618113421.08518694462763
0.64118.8855816024441.12053600520858
0.65119.1316727429971.14254149737374
0.66119.3835383244831.15335048432116
0.67119.6396501222521.15706840768155
0.68119.8992867200441.15863613491556
0.69120.162538086031.1623123693858
0.7120.4300564084921.1712260603341
0.71120.7026098035121.18463325356166
0.72120.9805679418371.1993334019243
0.73121.2634925310251.21001888076997
0.74121.5500009136331.211297307952
0.75121.8380093773221.19961802754203
0.76122.1253529878561.1747243946914
0.77122.4106486075721.14156870808238
0.78122.6941591315171.10832052686153
0.79122.9783736205671.08651991527612
0.8123.268067477281.08652373657004
0.81123.5697426133171.11436970840956
0.82123.8905223103661.16929057793906
0.83124.2367158943081.24361578577665
0.84124.6123141967121.32482101335952
0.85125.0176270315671.39755387918244
0.86125.4482044808021.44561812869515
0.87125.8942033181071.45281179159629
0.88126.3405092073681.40504687096741
0.89126.768088547951.29430951531846
0.9127.1569717002051.12373339416724
0.91127.4907570425930.910718906383235
0.92127.7616532532420.686213532638881
0.93127.9743181614030.487665138906404
0.94128.1467699673050.350358078531248
0.95128.3076894557430.296853584900796
0.96128.4904606339910.320731325830941
0.97128.7230751049750.38346668314692
0.98129.0094879096420.418690482747537
0.99129.3000612351470.355940413587397


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')