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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 computationFri, 28 Dec 2012 11:21:48 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/28/t1356711724hiyblfw8xwrkndp.htm/, Retrieved Mon, 29 Apr 2024 13:34:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204840, Retrieved Mon, 29 Apr 2024 13:34:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

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] [Kwartielen sigare...] [2012-12-28 16:21:48] [d49142971c8f8efd889907bc997cc5d5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104,4
104,4
104,4
104,4
104,4
104,41
104,42
104,68
106,02
106,35
106,38
106,47
106,5
106,56
113,07
116,26
118
118,02
118,04
118,12
118,12
118,17
118,22
118,22
118,23
118,23
118,23
119,94
120,88
121,14
121,16
121,2
121,2
121,2
121,2
121,2
121,22
121,22
121,95
123,05
123,44
123,65
123,79
123,87
123,91
123,94
124,28
126,28
126,68
126,69
126,69
126,99
128,79
128,84
128,95
128,97
128,97
128,97
128,97
128,97
128,97
128,98
128,99
129,07
129,76
130,47
130,76
130,88
131,04
131,06
131,13
131,15

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204840&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204840&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204840&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01104.4002384780240.00115696507023605
0.02104.4016996633280.00711325559781786
0.03104.40699884020.0253519166668285
0.04104.4212397409680.0666946940334009
0.05104.4522766146830.141547127719135
0.06104.5099259419080.255527993912881
0.07104.6042303563340.405930729475881
0.08104.7435332342120.583487318900792
0.09104.9334073660950.777854134028883
0.1105.1771312835150.986263897377639
0.11105.4775772708071.21925700409817
0.12105.8395393448851.49913465343276
0.13106.2711668120521.84919464877772
0.14106.7834783317132.27878912454978
0.15107.3877474382442.77435291379224
0.16108.0914725056893.2985178035806
0.17108.8942621940463.79734306700274
0.18109.7850492786124.21105914977653
0.19110.7416070261634.48704245420483
0.2111.732597665844.59035668142641
0.21112.7216277466044.50987640685461
0.22113.6722725073594.25916225374519
0.23114.5528872422023.87262553150658
0.24115.3402294304293.39731861447029
0.25116.021344124722.88445215416312
0.26116.5936477724582.3814042286898
0.27117.0635365606481.92614903291511
0.28117.4440630260441.54532580239339
0.29117.7522602283761.2545381999361
0.3118.0065919556671.05917527589401
0.31118.2248397764940.955117317553827
0.32118.4225678111380.927543974177253
0.33118.6121755514130.954203196081358
0.34118.8024723222431.01135770086646
0.35118.9986770305191.07880694422954
0.36119.2027458877561.14047125874042
0.37119.413940459411.18494199699676
0.38119.6295563542331.20488866538016
0.39119.8457348997721.19747411070894
0.4120.0582785918871.1637977732329
0.41120.2633914384081.10832759731024
0.42120.4582726683661.03886749464616
0.43120.6415090809780.964540642963818
0.44120.8132365748550.895356969566827
0.45120.9750713973280.840675828150727
0.46121.1298413602120.807995124097559
0.47121.2811718680030.801555805129357
0.48121.4329975538440.821225792436352
0.49121.5890757718130.863175098806042
0.5121.7525729217080.920783455935482
0.51121.9257796601730.986721508722074
0.52122.109988577131.05396602774831
0.53122.3055408563921.11697633966182
0.54122.5120205369151.17228590796827
0.55122.7285505383591.21861381387197
0.56122.9541279303211.25663553990428
0.57123.1879305082481.2893662344902
0.58123.4295342755931.32061362329177
0.59123.6790009826091.35436500683945
0.6123.9368226308671.39342418424383
0.61124.2037397285741.43865788327843
0.62124.4804751121841.48881493730311
0.63124.7674394210241.54053849303665
0.64125.0644647997151.58926835385935
0.65125.3706110566611.62992493912392
0.66125.684068059431.65742743131619
0.67126.0021565645531.66786023889777
0.68126.3214136788911.65797971729793
0.69126.6377426989191.62588749656348
0.7126.946609889541.5703437751974
0.71127.2432785533691.49164703793843
0.72127.5230772262921.39070942708834
0.73127.7816987759111.27000815178806
0.74128.0155190693481.13331190421146
0.75128.2219109780870.986151959237352
0.76128.3995185460570.83476964813643
0.77128.5484541726020.686596124782989
0.78128.6703921337810.548684764954031
0.79128.7685520393530.427724082895611
0.8128.8475871609580.329387708431806
0.81128.9134032408950.259040372246471
0.82128.9729241245340.22247168448379
0.83129.0337905672090.224781063117816
0.84129.1039397724490.264593836781319
0.85129.1909899503780.334527394139036
0.86129.3013759726790.424712127384456
0.87129.4392690515130.52339530307748
0.88129.6054569617210.615897845588642
0.89129.7965116019930.68590890283293
0.9130.0046419385080.718567168397837
0.91130.2185372327630.704425171383864
0.92130.4252216607110.643165588016899
0.93130.612546945390.544289019813586
0.94130.7716179352470.425030147032792
0.95130.8983542757680.305314790511387
0.96130.9936106068270.201769781745956
0.97131.0617462667850.123624949799343
0.98131.1081408628040.0704610503224991
0.99131.1368213483990.0362156970959639

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 104.400238478024 & 0.00115696507023605 \tabularnewline
0.02 & 104.401699663328 & 0.00711325559781786 \tabularnewline
0.03 & 104.4069988402 & 0.0253519166668285 \tabularnewline
0.04 & 104.421239740968 & 0.0666946940334009 \tabularnewline
0.05 & 104.452276614683 & 0.141547127719135 \tabularnewline
0.06 & 104.509925941908 & 0.255527993912881 \tabularnewline
0.07 & 104.604230356334 & 0.405930729475881 \tabularnewline
0.08 & 104.743533234212 & 0.583487318900792 \tabularnewline
0.09 & 104.933407366095 & 0.777854134028883 \tabularnewline
0.1 & 105.177131283515 & 0.986263897377639 \tabularnewline
0.11 & 105.477577270807 & 1.21925700409817 \tabularnewline
0.12 & 105.839539344885 & 1.49913465343276 \tabularnewline
0.13 & 106.271166812052 & 1.84919464877772 \tabularnewline
0.14 & 106.783478331713 & 2.27878912454978 \tabularnewline
0.15 & 107.387747438244 & 2.77435291379224 \tabularnewline
0.16 & 108.091472505689 & 3.2985178035806 \tabularnewline
0.17 & 108.894262194046 & 3.79734306700274 \tabularnewline
0.18 & 109.785049278612 & 4.21105914977653 \tabularnewline
0.19 & 110.741607026163 & 4.48704245420483 \tabularnewline
0.2 & 111.73259766584 & 4.59035668142641 \tabularnewline
0.21 & 112.721627746604 & 4.50987640685461 \tabularnewline
0.22 & 113.672272507359 & 4.25916225374519 \tabularnewline
0.23 & 114.552887242202 & 3.87262553150658 \tabularnewline
0.24 & 115.340229430429 & 3.39731861447029 \tabularnewline
0.25 & 116.02134412472 & 2.88445215416312 \tabularnewline
0.26 & 116.593647772458 & 2.3814042286898 \tabularnewline
0.27 & 117.063536560648 & 1.92614903291511 \tabularnewline
0.28 & 117.444063026044 & 1.54532580239339 \tabularnewline
0.29 & 117.752260228376 & 1.2545381999361 \tabularnewline
0.3 & 118.006591955667 & 1.05917527589401 \tabularnewline
0.31 & 118.224839776494 & 0.955117317553827 \tabularnewline
0.32 & 118.422567811138 & 0.927543974177253 \tabularnewline
0.33 & 118.612175551413 & 0.954203196081358 \tabularnewline
0.34 & 118.802472322243 & 1.01135770086646 \tabularnewline
0.35 & 118.998677030519 & 1.07880694422954 \tabularnewline
0.36 & 119.202745887756 & 1.14047125874042 \tabularnewline
0.37 & 119.41394045941 & 1.18494199699676 \tabularnewline
0.38 & 119.629556354233 & 1.20488866538016 \tabularnewline
0.39 & 119.845734899772 & 1.19747411070894 \tabularnewline
0.4 & 120.058278591887 & 1.1637977732329 \tabularnewline
0.41 & 120.263391438408 & 1.10832759731024 \tabularnewline
0.42 & 120.458272668366 & 1.03886749464616 \tabularnewline
0.43 & 120.641509080978 & 0.964540642963818 \tabularnewline
0.44 & 120.813236574855 & 0.895356969566827 \tabularnewline
0.45 & 120.975071397328 & 0.840675828150727 \tabularnewline
0.46 & 121.129841360212 & 0.807995124097559 \tabularnewline
0.47 & 121.281171868003 & 0.801555805129357 \tabularnewline
0.48 & 121.432997553844 & 0.821225792436352 \tabularnewline
0.49 & 121.589075771813 & 0.863175098806042 \tabularnewline
0.5 & 121.752572921708 & 0.920783455935482 \tabularnewline
0.51 & 121.925779660173 & 0.986721508722074 \tabularnewline
0.52 & 122.10998857713 & 1.05396602774831 \tabularnewline
0.53 & 122.305540856392 & 1.11697633966182 \tabularnewline
0.54 & 122.512020536915 & 1.17228590796827 \tabularnewline
0.55 & 122.728550538359 & 1.21861381387197 \tabularnewline
0.56 & 122.954127930321 & 1.25663553990428 \tabularnewline
0.57 & 123.187930508248 & 1.2893662344902 \tabularnewline
0.58 & 123.429534275593 & 1.32061362329177 \tabularnewline
0.59 & 123.679000982609 & 1.35436500683945 \tabularnewline
0.6 & 123.936822630867 & 1.39342418424383 \tabularnewline
0.61 & 124.203739728574 & 1.43865788327843 \tabularnewline
0.62 & 124.480475112184 & 1.48881493730311 \tabularnewline
0.63 & 124.767439421024 & 1.54053849303665 \tabularnewline
0.64 & 125.064464799715 & 1.58926835385935 \tabularnewline
0.65 & 125.370611056661 & 1.62992493912392 \tabularnewline
0.66 & 125.68406805943 & 1.65742743131619 \tabularnewline
0.67 & 126.002156564553 & 1.66786023889777 \tabularnewline
0.68 & 126.321413678891 & 1.65797971729793 \tabularnewline
0.69 & 126.637742698919 & 1.62588749656348 \tabularnewline
0.7 & 126.94660988954 & 1.5703437751974 \tabularnewline
0.71 & 127.243278553369 & 1.49164703793843 \tabularnewline
0.72 & 127.523077226292 & 1.39070942708834 \tabularnewline
0.73 & 127.781698775911 & 1.27000815178806 \tabularnewline
0.74 & 128.015519069348 & 1.13331190421146 \tabularnewline
0.75 & 128.221910978087 & 0.986151959237352 \tabularnewline
0.76 & 128.399518546057 & 0.83476964813643 \tabularnewline
0.77 & 128.548454172602 & 0.686596124782989 \tabularnewline
0.78 & 128.670392133781 & 0.548684764954031 \tabularnewline
0.79 & 128.768552039353 & 0.427724082895611 \tabularnewline
0.8 & 128.847587160958 & 0.329387708431806 \tabularnewline
0.81 & 128.913403240895 & 0.259040372246471 \tabularnewline
0.82 & 128.972924124534 & 0.22247168448379 \tabularnewline
0.83 & 129.033790567209 & 0.224781063117816 \tabularnewline
0.84 & 129.103939772449 & 0.264593836781319 \tabularnewline
0.85 & 129.190989950378 & 0.334527394139036 \tabularnewline
0.86 & 129.301375972679 & 0.424712127384456 \tabularnewline
0.87 & 129.439269051513 & 0.52339530307748 \tabularnewline
0.88 & 129.605456961721 & 0.615897845588642 \tabularnewline
0.89 & 129.796511601993 & 0.68590890283293 \tabularnewline
0.9 & 130.004641938508 & 0.718567168397837 \tabularnewline
0.91 & 130.218537232763 & 0.704425171383864 \tabularnewline
0.92 & 130.425221660711 & 0.643165588016899 \tabularnewline
0.93 & 130.61254694539 & 0.544289019813586 \tabularnewline
0.94 & 130.771617935247 & 0.425030147032792 \tabularnewline
0.95 & 130.898354275768 & 0.305314790511387 \tabularnewline
0.96 & 130.993610606827 & 0.201769781745956 \tabularnewline
0.97 & 131.061746266785 & 0.123624949799343 \tabularnewline
0.98 & 131.108140862804 & 0.0704610503224991 \tabularnewline
0.99 & 131.136821348399 & 0.0362156970959639 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204840&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]104.400238478024[/C][C]0.00115696507023605[/C][/ROW]
[ROW][C]0.02[/C][C]104.401699663328[/C][C]0.00711325559781786[/C][/ROW]
[ROW][C]0.03[/C][C]104.4069988402[/C][C]0.0253519166668285[/C][/ROW]
[ROW][C]0.04[/C][C]104.421239740968[/C][C]0.0666946940334009[/C][/ROW]
[ROW][C]0.05[/C][C]104.452276614683[/C][C]0.141547127719135[/C][/ROW]
[ROW][C]0.06[/C][C]104.509925941908[/C][C]0.255527993912881[/C][/ROW]
[ROW][C]0.07[/C][C]104.604230356334[/C][C]0.405930729475881[/C][/ROW]
[ROW][C]0.08[/C][C]104.743533234212[/C][C]0.583487318900792[/C][/ROW]
[ROW][C]0.09[/C][C]104.933407366095[/C][C]0.777854134028883[/C][/ROW]
[ROW][C]0.1[/C][C]105.177131283515[/C][C]0.986263897377639[/C][/ROW]
[ROW][C]0.11[/C][C]105.477577270807[/C][C]1.21925700409817[/C][/ROW]
[ROW][C]0.12[/C][C]105.839539344885[/C][C]1.49913465343276[/C][/ROW]
[ROW][C]0.13[/C][C]106.271166812052[/C][C]1.84919464877772[/C][/ROW]
[ROW][C]0.14[/C][C]106.783478331713[/C][C]2.27878912454978[/C][/ROW]
[ROW][C]0.15[/C][C]107.387747438244[/C][C]2.77435291379224[/C][/ROW]
[ROW][C]0.16[/C][C]108.091472505689[/C][C]3.2985178035806[/C][/ROW]
[ROW][C]0.17[/C][C]108.894262194046[/C][C]3.79734306700274[/C][/ROW]
[ROW][C]0.18[/C][C]109.785049278612[/C][C]4.21105914977653[/C][/ROW]
[ROW][C]0.19[/C][C]110.741607026163[/C][C]4.48704245420483[/C][/ROW]
[ROW][C]0.2[/C][C]111.73259766584[/C][C]4.59035668142641[/C][/ROW]
[ROW][C]0.21[/C][C]112.721627746604[/C][C]4.50987640685461[/C][/ROW]
[ROW][C]0.22[/C][C]113.672272507359[/C][C]4.25916225374519[/C][/ROW]
[ROW][C]0.23[/C][C]114.552887242202[/C][C]3.87262553150658[/C][/ROW]
[ROW][C]0.24[/C][C]115.340229430429[/C][C]3.39731861447029[/C][/ROW]
[ROW][C]0.25[/C][C]116.02134412472[/C][C]2.88445215416312[/C][/ROW]
[ROW][C]0.26[/C][C]116.593647772458[/C][C]2.3814042286898[/C][/ROW]
[ROW][C]0.27[/C][C]117.063536560648[/C][C]1.92614903291511[/C][/ROW]
[ROW][C]0.28[/C][C]117.444063026044[/C][C]1.54532580239339[/C][/ROW]
[ROW][C]0.29[/C][C]117.752260228376[/C][C]1.2545381999361[/C][/ROW]
[ROW][C]0.3[/C][C]118.006591955667[/C][C]1.05917527589401[/C][/ROW]
[ROW][C]0.31[/C][C]118.224839776494[/C][C]0.955117317553827[/C][/ROW]
[ROW][C]0.32[/C][C]118.422567811138[/C][C]0.927543974177253[/C][/ROW]
[ROW][C]0.33[/C][C]118.612175551413[/C][C]0.954203196081358[/C][/ROW]
[ROW][C]0.34[/C][C]118.802472322243[/C][C]1.01135770086646[/C][/ROW]
[ROW][C]0.35[/C][C]118.998677030519[/C][C]1.07880694422954[/C][/ROW]
[ROW][C]0.36[/C][C]119.202745887756[/C][C]1.14047125874042[/C][/ROW]
[ROW][C]0.37[/C][C]119.41394045941[/C][C]1.18494199699676[/C][/ROW]
[ROW][C]0.38[/C][C]119.629556354233[/C][C]1.20488866538016[/C][/ROW]
[ROW][C]0.39[/C][C]119.845734899772[/C][C]1.19747411070894[/C][/ROW]
[ROW][C]0.4[/C][C]120.058278591887[/C][C]1.1637977732329[/C][/ROW]
[ROW][C]0.41[/C][C]120.263391438408[/C][C]1.10832759731024[/C][/ROW]
[ROW][C]0.42[/C][C]120.458272668366[/C][C]1.03886749464616[/C][/ROW]
[ROW][C]0.43[/C][C]120.641509080978[/C][C]0.964540642963818[/C][/ROW]
[ROW][C]0.44[/C][C]120.813236574855[/C][C]0.895356969566827[/C][/ROW]
[ROW][C]0.45[/C][C]120.975071397328[/C][C]0.840675828150727[/C][/ROW]
[ROW][C]0.46[/C][C]121.129841360212[/C][C]0.807995124097559[/C][/ROW]
[ROW][C]0.47[/C][C]121.281171868003[/C][C]0.801555805129357[/C][/ROW]
[ROW][C]0.48[/C][C]121.432997553844[/C][C]0.821225792436352[/C][/ROW]
[ROW][C]0.49[/C][C]121.589075771813[/C][C]0.863175098806042[/C][/ROW]
[ROW][C]0.5[/C][C]121.752572921708[/C][C]0.920783455935482[/C][/ROW]
[ROW][C]0.51[/C][C]121.925779660173[/C][C]0.986721508722074[/C][/ROW]
[ROW][C]0.52[/C][C]122.10998857713[/C][C]1.05396602774831[/C][/ROW]
[ROW][C]0.53[/C][C]122.305540856392[/C][C]1.11697633966182[/C][/ROW]
[ROW][C]0.54[/C][C]122.512020536915[/C][C]1.17228590796827[/C][/ROW]
[ROW][C]0.55[/C][C]122.728550538359[/C][C]1.21861381387197[/C][/ROW]
[ROW][C]0.56[/C][C]122.954127930321[/C][C]1.25663553990428[/C][/ROW]
[ROW][C]0.57[/C][C]123.187930508248[/C][C]1.2893662344902[/C][/ROW]
[ROW][C]0.58[/C][C]123.429534275593[/C][C]1.32061362329177[/C][/ROW]
[ROW][C]0.59[/C][C]123.679000982609[/C][C]1.35436500683945[/C][/ROW]
[ROW][C]0.6[/C][C]123.936822630867[/C][C]1.39342418424383[/C][/ROW]
[ROW][C]0.61[/C][C]124.203739728574[/C][C]1.43865788327843[/C][/ROW]
[ROW][C]0.62[/C][C]124.480475112184[/C][C]1.48881493730311[/C][/ROW]
[ROW][C]0.63[/C][C]124.767439421024[/C][C]1.54053849303665[/C][/ROW]
[ROW][C]0.64[/C][C]125.064464799715[/C][C]1.58926835385935[/C][/ROW]
[ROW][C]0.65[/C][C]125.370611056661[/C][C]1.62992493912392[/C][/ROW]
[ROW][C]0.66[/C][C]125.68406805943[/C][C]1.65742743131619[/C][/ROW]
[ROW][C]0.67[/C][C]126.002156564553[/C][C]1.66786023889777[/C][/ROW]
[ROW][C]0.68[/C][C]126.321413678891[/C][C]1.65797971729793[/C][/ROW]
[ROW][C]0.69[/C][C]126.637742698919[/C][C]1.62588749656348[/C][/ROW]
[ROW][C]0.7[/C][C]126.94660988954[/C][C]1.5703437751974[/C][/ROW]
[ROW][C]0.71[/C][C]127.243278553369[/C][C]1.49164703793843[/C][/ROW]
[ROW][C]0.72[/C][C]127.523077226292[/C][C]1.39070942708834[/C][/ROW]
[ROW][C]0.73[/C][C]127.781698775911[/C][C]1.27000815178806[/C][/ROW]
[ROW][C]0.74[/C][C]128.015519069348[/C][C]1.13331190421146[/C][/ROW]
[ROW][C]0.75[/C][C]128.221910978087[/C][C]0.986151959237352[/C][/ROW]
[ROW][C]0.76[/C][C]128.399518546057[/C][C]0.83476964813643[/C][/ROW]
[ROW][C]0.77[/C][C]128.548454172602[/C][C]0.686596124782989[/C][/ROW]
[ROW][C]0.78[/C][C]128.670392133781[/C][C]0.548684764954031[/C][/ROW]
[ROW][C]0.79[/C][C]128.768552039353[/C][C]0.427724082895611[/C][/ROW]
[ROW][C]0.8[/C][C]128.847587160958[/C][C]0.329387708431806[/C][/ROW]
[ROW][C]0.81[/C][C]128.913403240895[/C][C]0.259040372246471[/C][/ROW]
[ROW][C]0.82[/C][C]128.972924124534[/C][C]0.22247168448379[/C][/ROW]
[ROW][C]0.83[/C][C]129.033790567209[/C][C]0.224781063117816[/C][/ROW]
[ROW][C]0.84[/C][C]129.103939772449[/C][C]0.264593836781319[/C][/ROW]
[ROW][C]0.85[/C][C]129.190989950378[/C][C]0.334527394139036[/C][/ROW]
[ROW][C]0.86[/C][C]129.301375972679[/C][C]0.424712127384456[/C][/ROW]
[ROW][C]0.87[/C][C]129.439269051513[/C][C]0.52339530307748[/C][/ROW]
[ROW][C]0.88[/C][C]129.605456961721[/C][C]0.615897845588642[/C][/ROW]
[ROW][C]0.89[/C][C]129.796511601993[/C][C]0.68590890283293[/C][/ROW]
[ROW][C]0.9[/C][C]130.004641938508[/C][C]0.718567168397837[/C][/ROW]
[ROW][C]0.91[/C][C]130.218537232763[/C][C]0.704425171383864[/C][/ROW]
[ROW][C]0.92[/C][C]130.425221660711[/C][C]0.643165588016899[/C][/ROW]
[ROW][C]0.93[/C][C]130.61254694539[/C][C]0.544289019813586[/C][/ROW]
[ROW][C]0.94[/C][C]130.771617935247[/C][C]0.425030147032792[/C][/ROW]
[ROW][C]0.95[/C][C]130.898354275768[/C][C]0.305314790511387[/C][/ROW]
[ROW][C]0.96[/C][C]130.993610606827[/C][C]0.201769781745956[/C][/ROW]
[ROW][C]0.97[/C][C]131.061746266785[/C][C]0.123624949799343[/C][/ROW]
[ROW][C]0.98[/C][C]131.108140862804[/C][C]0.0704610503224991[/C][/ROW]
[ROW][C]0.99[/C][C]131.136821348399[/C][C]0.0362156970959639[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204840&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204840&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
0.01104.4002384780240.00115696507023605
0.02104.4016996633280.00711325559781786
0.03104.40699884020.0253519166668285
0.04104.4212397409680.0666946940334009
0.05104.4522766146830.141547127719135
0.06104.5099259419080.255527993912881
0.07104.6042303563340.405930729475881
0.08104.7435332342120.583487318900792
0.09104.9334073660950.777854134028883
0.1105.1771312835150.986263897377639
0.11105.4775772708071.21925700409817
0.12105.8395393448851.49913465343276
0.13106.2711668120521.84919464877772
0.14106.7834783317132.27878912454978
0.15107.3877474382442.77435291379224
0.16108.0914725056893.2985178035806
0.17108.8942621940463.79734306700274
0.18109.7850492786124.21105914977653
0.19110.7416070261634.48704245420483
0.2111.732597665844.59035668142641
0.21112.7216277466044.50987640685461
0.22113.6722725073594.25916225374519
0.23114.5528872422023.87262553150658
0.24115.3402294304293.39731861447029
0.25116.021344124722.88445215416312
0.26116.5936477724582.3814042286898
0.27117.0635365606481.92614903291511
0.28117.4440630260441.54532580239339
0.29117.7522602283761.2545381999361
0.3118.0065919556671.05917527589401
0.31118.2248397764940.955117317553827
0.32118.4225678111380.927543974177253
0.33118.6121755514130.954203196081358
0.34118.8024723222431.01135770086646
0.35118.9986770305191.07880694422954
0.36119.2027458877561.14047125874042
0.37119.413940459411.18494199699676
0.38119.6295563542331.20488866538016
0.39119.8457348997721.19747411070894
0.4120.0582785918871.1637977732329
0.41120.2633914384081.10832759731024
0.42120.4582726683661.03886749464616
0.43120.6415090809780.964540642963818
0.44120.8132365748550.895356969566827
0.45120.9750713973280.840675828150727
0.46121.1298413602120.807995124097559
0.47121.2811718680030.801555805129357
0.48121.4329975538440.821225792436352
0.49121.5890757718130.863175098806042
0.5121.7525729217080.920783455935482
0.51121.9257796601730.986721508722074
0.52122.109988577131.05396602774831
0.53122.3055408563921.11697633966182
0.54122.5120205369151.17228590796827
0.55122.7285505383591.21861381387197
0.56122.9541279303211.25663553990428
0.57123.1879305082481.2893662344902
0.58123.4295342755931.32061362329177
0.59123.6790009826091.35436500683945
0.6123.9368226308671.39342418424383
0.61124.2037397285741.43865788327843
0.62124.4804751121841.48881493730311
0.63124.7674394210241.54053849303665
0.64125.0644647997151.58926835385935
0.65125.3706110566611.62992493912392
0.66125.684068059431.65742743131619
0.67126.0021565645531.66786023889777
0.68126.3214136788911.65797971729793
0.69126.6377426989191.62588749656348
0.7126.946609889541.5703437751974
0.71127.2432785533691.49164703793843
0.72127.5230772262921.39070942708834
0.73127.7816987759111.27000815178806
0.74128.0155190693481.13331190421146
0.75128.2219109780870.986151959237352
0.76128.3995185460570.83476964813643
0.77128.5484541726020.686596124782989
0.78128.6703921337810.548684764954031
0.79128.7685520393530.427724082895611
0.8128.8475871609580.329387708431806
0.81128.9134032408950.259040372246471
0.82128.9729241245340.22247168448379
0.83129.0337905672090.224781063117816
0.84129.1039397724490.264593836781319
0.85129.1909899503780.334527394139036
0.86129.3013759726790.424712127384456
0.87129.4392690515130.52339530307748
0.88129.6054569617210.615897845588642
0.89129.7965116019930.68590890283293
0.9130.0046419385080.718567168397837
0.91130.2185372327630.704425171383864
0.92130.4252216607110.643165588016899
0.93130.612546945390.544289019813586
0.94130.7716179352470.425030147032792
0.95130.8983542757680.305314790511387
0.96130.9936106068270.201769781745956
0.97131.0617462667850.123624949799343
0.98131.1081408628040.0704610503224991
0.99131.1368213483990.0362156970959639


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')