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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Oct 2008 11:42:04 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t12251294377ykai9z7hp3kvym.htm/, Retrieved Sun, 19 May 2024 13:56:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19325, Retrieved Sun, 19 May 2024 13:56:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Q5 Distributions] [2007-10-22 09:17:45] [b731da8b544846036771bbf9bf2f34ce]
F   PD    [Harrell-Davis Quantiles] [Investigating Dis...] [2008-10-27 17:42:04] [0f30549460cf4ec26d9cf94b1fcf7789] [Current]
- R PD      [Harrell-Davis Quantiles] [Verbetering: Huur...] [2008-10-29 13:51:37] [b85eb1eb4b13b870c6e7ebbba3e34fcc]
Feedback Forum
2008-10-29 13:54:54 [Ellen Smolders] [reply] 
De student heeft de juiste berekeningen gemaakt. Ter informatie bijgevoegde link: http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/29/t1225288382wvqi65vugyn5unt.htm
dit is de berekening van de tijdreeks van de huurprijs van een huis - het gemiddelde. Door deze berekening komt de student tot zijn eindconclusie: 'We bekomen dan -5,03 en 4,50. De kans dat er een fout voorkomt ligt dus waarschijnlijk tussen deze twee getallen.'
2008-10-30 22:30:09 [Kenny Simons] [reply] 
De berekeningen van de student zijn inderdaad juist. Maar ze konden ook eenvoudiger gevonden worden door de R-Code aan te passen. Dit kan je zien op de link die Ellen bij haar commentaar bijgevoegd heeft.
2008-11-03 10:48:17 [Zeno Thoelen] [reply] 
2008-11-03 10:48:59 [a7e076854c32462fd499d2de3f6d4e86] [reply] 
De berekeningen zijn inderdaad juist.
Eevoudiger: aanpassing van de R-code (zie hierboven)

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106,60
106,80
107,00
107,10
107,30
107,40
107,60
107,70
107,90
108,20
108,30
108,50
108,92
109,23
109,41
109,65
109,91
110,01
110,20
110,49
110,57
110,72
110,94
111,09
111,28
111,41
111,62
111,76
111,89
112,04
112,12
112,30
112,47
112,59
112,78
112,73
112,99
113,10
113,33
113,38
113,68
113,65
113,81
113,88
114,02
114,25
114,28
114,38
114,73
114,97
115,05
115,29
115,37
115,54
115,76
115,92
116,02
116,21
116,26
116,51

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19325&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19325&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19325&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.025106.7913445962700.203233019308778
0.03106.8422993444540.208729465889735
0.035106.8934336993790.214897382568964
0.04106.9440429051070.221670220124095
0.045106.993817728660.228998511558045
0.05107.0427145264310.237050471499471
0.055107.0908468738140.245879933229577
0.06107.1384069701020.255473344226969
0.065107.1856149075450.265808503591925
0.07107.2326896555050.276834751198175
0.075107.2798349533710.288497820522450
0.08107.3272343479210.300851375914564
0.085107.3750511565870.31398052224457
0.09107.4234305822880.327709830488648
0.095107.4725023289440.34215494335932
0.1107.5223828514790.357355992132115
0.105107.5731768806950.373290538476736
0.11107.6249781663740.389967756205148
0.115107.6778695451820.407175586811627
0.12107.7319225109060.424903232503352
0.125107.7871964776480.443143520567212
0.13107.8437379065400.46174356547375
0.135107.9015794312070.480518121127203
0.14107.9607390790410.499372825574667
0.145108.0212196520820.518250082836057
0.15108.0830083069480.536857543367358
0.155108.1460763582490.555174368715337
0.16108.2103793228990.57298318286231
0.165108.2758572207080.590141061987953
0.17108.3424351464620.606571036240363
0.175108.4100241275600.621871140476098
0.18108.4785222771500.636123674979307
0.185108.5478162446090.649143036446105
0.19108.6177829532550.660706245197851
0.195108.6882916003400.670793106007403
0.2108.7592058781490.679423184570217
0.205108.8303863593390.686516046283894
0.21108.9016929763180.691935722394555
0.215108.9729875149890.695768371306852
0.22109.0441360387760.698131716714901
0.225109.1150111598410.699062633325657
0.23109.1854940809270.698585145780187
0.235109.2554763425280.69702967522713
0.24109.3248612252010.694340050759747
0.245109.3935647743310.690751615065982
0.25109.4615164333160.686413206079484
0.255109.5286592892790.681386349936844
0.26109.5949499521080.676042110526393
0.265109.6603581015930.670242854709219
0.27109.7248657482360.66427016161518
0.275109.7884662604910.658309303252607
0.28109.8511632147710.652347713314655
0.285109.9129691247440.646509596309509
0.29109.9739041037990.640657766163288
0.295110.0339945095630.635256075579155
0.3110.0932716127420.630067127736209
0.305110.1517703250670.625237204683519
0.31110.2095280132080.620555583940552
0.315110.2665834179380.616253772908439
0.32110.3229756907920.612358499006969
0.325110.3787435544120.608699214892692
0.33110.4339245877870.605382140711527
0.335110.4885546337490.602323549616253
0.34110.5426673233670.59938864678731
0.345110.5962937100680.596735981613049
0.35110.6494620054180.594285979674234
0.355110.7021974080680.591925791844252
0.36110.7545220175200.589741113516633
0.365110.8064548245960.587564190473258
0.37110.8580117709400.585433836448345
0.375110.9092058701860.583286533002492
0.38110.9600473836750.581254478067776
0.385111.0105440436620.579090934712846
0.39111.0607013168870.576847721435534
0.395111.1105227011550.574438447591798
0.4111.1600100472640.571993957831872
0.405111.209163898350.569469320606058
0.41111.2579838384240.566733502614655
0.415111.3064688417960.563967278275403
0.42111.3546176151170.561113206020539
0.425111.4024289240980.558016630563165
0.43111.4499018974980.554854648192008
0.435111.4970363018220.5516469438481
0.44111.5438327812120.548344593752677
0.445111.5902930582790.545045845194092
0.45111.6364200930750.541598296641757
0.455111.6822181988420.538235039406022
0.46111.7276931147080.534830064843541
0.465111.7728520368710.531457130265847
0.47111.8177036110620.52816719760179
0.475111.8622578900930.524912706243279
0.48111.9065262609710.521861387871
0.485111.9505213465080.518873993591466
0.49111.9942568863660.515987985894772
0.495112.0377476022460.513176411434628
0.5112.0810090513550.510593326955446
0.505112.1240574715400.508150143826146
0.51112.1669096205080.505896321954439
0.515112.2095826106260.503700404522734
0.52112.2520937397940.501789862735947
0.525112.2944603181300.499947345850835
0.53112.3366994895980.498194707510002
0.535112.3788280474740.496679492221911
0.54112.4208622425980.495368182114684
0.545112.4628175838770.494110063196723
0.55112.5047086313120.49296447329702
0.555112.5465487830530.492051616223664
0.56112.5883500594190.491118862727871
0.565112.6301228884790.490362112507528
0.57112.6718758994750.48964615407821
0.575112.7136157319590.488971444224452
0.58112.7553468699330.488275941678853
0.585112.7970715112960.487541942992094
0.59112.8387894834250.486876732279894
0.595112.8804982157160.486056974373645
0.6112.9221927792140.485036070390247
0.605112.9638660020900.484005281471883
0.61113.0055086677190.482702423265517
0.615113.0471097995090.481186438918328
0.62113.0886570334630.479433683684336
0.625113.1301370760290.477484358339169
0.63113.1715362410590.475280738165785
0.635113.2128410560070.472818101531751
0.64113.2540389239490.469976056152122
0.645113.2951188248030.466983100058466
0.65113.3360720364160.463718208193088
0.655113.3768928541300.460415613967677
0.66113.4175792860350.456844615720491
0.665113.4581337005520.453239536918440
0.67113.4985634031060.449602587125322
0.675113.5388811195120.446004172736891
0.68113.5791053651710.442546016954972
0.685113.6192606812310.439356723523651
0.69113.6593777212900.436394233401237
0.695113.6994931750470.433782549617604
0.7113.7396495184130.431574146531523
0.705113.7798945829150.429849968464114
0.71113.8202809409010.428717587835547
0.715113.8608651070040.42813213341786
0.72113.9017065607660.42813321235527
0.725113.9428666003130.428874848989032
0.73113.9844070426290.430130762283468
0.735114.0263887923350.432127420060816
0.74114.0688703079960.434727359934152
0.745114.1119060025930.437713735585483
0.75114.1555446227430.441271866884059
0.755114.1998276589770.445146216198706
0.76114.2447878463890.449348574243487
0.765114.2904478203680.453667768595398
0.77114.3368189952170.457948993511742
0.775114.3839007331970.46209300340714
0.78114.4316798672760.465943748989348
0.785114.4801306317480.469367477213878
0.79114.5292150407070.472093196720983
0.795114.5788837349450.474176359913681
0.8114.6290772937330.475308648247646
0.805114.6797279800750.475505003927024
0.81114.7307618579330.474662976633764
0.815114.7821011896620.472752988348319
0.82114.8336669939280.469774225570118
0.825114.8853816215790.465763268190336
0.83114.9371711919880.460735610305818
0.835114.9889677280970.454863976679502
0.84115.0407108366990.448223036447512
0.845115.0923488027200.440913008280396
0.85115.1438390021840.433094850319592
0.855115.1951475867800.424904234041372
0.86115.2462484499120.416462343440441
0.865115.2971215451320.407862089802643
0.87115.3477506865330.399189408275012
0.875115.3981210104420.390432082173367
0.88115.4482163126340.381634434960180
0.885115.4980164919090.372687286567212
0.89115.5474953300800.363523504859401
0.895115.5966188272550.354089094189355
0.9115.6453443037410.344235159387009
0.905115.6936204954520.33390278981109
0.91115.7413889290300.322982695500775
0.915115.7885869773650.311453187242289
0.92115.8351531523900.299285796409789
0.925115.8810353291810.286473378278591
0.93115.926202582020.273036140279185
0.935115.9706609301860.259050992888315
0.94116.0144722424350.244610942197997
0.945116.0577735219180.229881152222886
0.95116.1007906075450.215213508716156
0.955116.1438361929520.201122811920600
0.96116.1872779372610.188543492705984
0.965116.2314603947270.17885572413765
0.97116.2765678664850.173771555631447
0.975116.3224282518410.174943701108505

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.025 & 106.791344596270 & 0.203233019308778 \tabularnewline
0.03 & 106.842299344454 & 0.208729465889735 \tabularnewline
0.035 & 106.893433699379 & 0.214897382568964 \tabularnewline
0.04 & 106.944042905107 & 0.221670220124095 \tabularnewline
0.045 & 106.99381772866 & 0.228998511558045 \tabularnewline
0.05 & 107.042714526431 & 0.237050471499471 \tabularnewline
0.055 & 107.090846873814 & 0.245879933229577 \tabularnewline
0.06 & 107.138406970102 & 0.255473344226969 \tabularnewline
0.065 & 107.185614907545 & 0.265808503591925 \tabularnewline
0.07 & 107.232689655505 & 0.276834751198175 \tabularnewline
0.075 & 107.279834953371 & 0.288497820522450 \tabularnewline
0.08 & 107.327234347921 & 0.300851375914564 \tabularnewline
0.085 & 107.375051156587 & 0.31398052224457 \tabularnewline
0.09 & 107.423430582288 & 0.327709830488648 \tabularnewline
0.095 & 107.472502328944 & 0.34215494335932 \tabularnewline
0.1 & 107.522382851479 & 0.357355992132115 \tabularnewline
0.105 & 107.573176880695 & 0.373290538476736 \tabularnewline
0.11 & 107.624978166374 & 0.389967756205148 \tabularnewline
0.115 & 107.677869545182 & 0.407175586811627 \tabularnewline
0.12 & 107.731922510906 & 0.424903232503352 \tabularnewline
0.125 & 107.787196477648 & 0.443143520567212 \tabularnewline
0.13 & 107.843737906540 & 0.46174356547375 \tabularnewline
0.135 & 107.901579431207 & 0.480518121127203 \tabularnewline
0.14 & 107.960739079041 & 0.499372825574667 \tabularnewline
0.145 & 108.021219652082 & 0.518250082836057 \tabularnewline
0.15 & 108.083008306948 & 0.536857543367358 \tabularnewline
0.155 & 108.146076358249 & 0.555174368715337 \tabularnewline
0.16 & 108.210379322899 & 0.57298318286231 \tabularnewline
0.165 & 108.275857220708 & 0.590141061987953 \tabularnewline
0.17 & 108.342435146462 & 0.606571036240363 \tabularnewline
0.175 & 108.410024127560 & 0.621871140476098 \tabularnewline
0.18 & 108.478522277150 & 0.636123674979307 \tabularnewline
0.185 & 108.547816244609 & 0.649143036446105 \tabularnewline
0.19 & 108.617782953255 & 0.660706245197851 \tabularnewline
0.195 & 108.688291600340 & 0.670793106007403 \tabularnewline
0.2 & 108.759205878149 & 0.679423184570217 \tabularnewline
0.205 & 108.830386359339 & 0.686516046283894 \tabularnewline
0.21 & 108.901692976318 & 0.691935722394555 \tabularnewline
0.215 & 108.972987514989 & 0.695768371306852 \tabularnewline
0.22 & 109.044136038776 & 0.698131716714901 \tabularnewline
0.225 & 109.115011159841 & 0.699062633325657 \tabularnewline
0.23 & 109.185494080927 & 0.698585145780187 \tabularnewline
0.235 & 109.255476342528 & 0.69702967522713 \tabularnewline
0.24 & 109.324861225201 & 0.694340050759747 \tabularnewline
0.245 & 109.393564774331 & 0.690751615065982 \tabularnewline
0.25 & 109.461516433316 & 0.686413206079484 \tabularnewline
0.255 & 109.528659289279 & 0.681386349936844 \tabularnewline
0.26 & 109.594949952108 & 0.676042110526393 \tabularnewline
0.265 & 109.660358101593 & 0.670242854709219 \tabularnewline
0.27 & 109.724865748236 & 0.66427016161518 \tabularnewline
0.275 & 109.788466260491 & 0.658309303252607 \tabularnewline
0.28 & 109.851163214771 & 0.652347713314655 \tabularnewline
0.285 & 109.912969124744 & 0.646509596309509 \tabularnewline
0.29 & 109.973904103799 & 0.640657766163288 \tabularnewline
0.295 & 110.033994509563 & 0.635256075579155 \tabularnewline
0.3 & 110.093271612742 & 0.630067127736209 \tabularnewline
0.305 & 110.151770325067 & 0.625237204683519 \tabularnewline
0.31 & 110.209528013208 & 0.620555583940552 \tabularnewline
0.315 & 110.266583417938 & 0.616253772908439 \tabularnewline
0.32 & 110.322975690792 & 0.612358499006969 \tabularnewline
0.325 & 110.378743554412 & 0.608699214892692 \tabularnewline
0.33 & 110.433924587787 & 0.605382140711527 \tabularnewline
0.335 & 110.488554633749 & 0.602323549616253 \tabularnewline
0.34 & 110.542667323367 & 0.59938864678731 \tabularnewline
0.345 & 110.596293710068 & 0.596735981613049 \tabularnewline
0.35 & 110.649462005418 & 0.594285979674234 \tabularnewline
0.355 & 110.702197408068 & 0.591925791844252 \tabularnewline
0.36 & 110.754522017520 & 0.589741113516633 \tabularnewline
0.365 & 110.806454824596 & 0.587564190473258 \tabularnewline
0.37 & 110.858011770940 & 0.585433836448345 \tabularnewline
0.375 & 110.909205870186 & 0.583286533002492 \tabularnewline
0.38 & 110.960047383675 & 0.581254478067776 \tabularnewline
0.385 & 111.010544043662 & 0.579090934712846 \tabularnewline
0.39 & 111.060701316887 & 0.576847721435534 \tabularnewline
0.395 & 111.110522701155 & 0.574438447591798 \tabularnewline
0.4 & 111.160010047264 & 0.571993957831872 \tabularnewline
0.405 & 111.20916389835 & 0.569469320606058 \tabularnewline
0.41 & 111.257983838424 & 0.566733502614655 \tabularnewline
0.415 & 111.306468841796 & 0.563967278275403 \tabularnewline
0.42 & 111.354617615117 & 0.561113206020539 \tabularnewline
0.425 & 111.402428924098 & 0.558016630563165 \tabularnewline
0.43 & 111.449901897498 & 0.554854648192008 \tabularnewline
0.435 & 111.497036301822 & 0.5516469438481 \tabularnewline
0.44 & 111.543832781212 & 0.548344593752677 \tabularnewline
0.445 & 111.590293058279 & 0.545045845194092 \tabularnewline
0.45 & 111.636420093075 & 0.541598296641757 \tabularnewline
0.455 & 111.682218198842 & 0.538235039406022 \tabularnewline
0.46 & 111.727693114708 & 0.534830064843541 \tabularnewline
0.465 & 111.772852036871 & 0.531457130265847 \tabularnewline
0.47 & 111.817703611062 & 0.52816719760179 \tabularnewline
0.475 & 111.862257890093 & 0.524912706243279 \tabularnewline
0.48 & 111.906526260971 & 0.521861387871 \tabularnewline
0.485 & 111.950521346508 & 0.518873993591466 \tabularnewline
0.49 & 111.994256886366 & 0.515987985894772 \tabularnewline
0.495 & 112.037747602246 & 0.513176411434628 \tabularnewline
0.5 & 112.081009051355 & 0.510593326955446 \tabularnewline
0.505 & 112.124057471540 & 0.508150143826146 \tabularnewline
0.51 & 112.166909620508 & 0.505896321954439 \tabularnewline
0.515 & 112.209582610626 & 0.503700404522734 \tabularnewline
0.52 & 112.252093739794 & 0.501789862735947 \tabularnewline
0.525 & 112.294460318130 & 0.499947345850835 \tabularnewline
0.53 & 112.336699489598 & 0.498194707510002 \tabularnewline
0.535 & 112.378828047474 & 0.496679492221911 \tabularnewline
0.54 & 112.420862242598 & 0.495368182114684 \tabularnewline
0.545 & 112.462817583877 & 0.494110063196723 \tabularnewline
0.55 & 112.504708631312 & 0.49296447329702 \tabularnewline
0.555 & 112.546548783053 & 0.492051616223664 \tabularnewline
0.56 & 112.588350059419 & 0.491118862727871 \tabularnewline
0.565 & 112.630122888479 & 0.490362112507528 \tabularnewline
0.57 & 112.671875899475 & 0.48964615407821 \tabularnewline
0.575 & 112.713615731959 & 0.488971444224452 \tabularnewline
0.58 & 112.755346869933 & 0.488275941678853 \tabularnewline
0.585 & 112.797071511296 & 0.487541942992094 \tabularnewline
0.59 & 112.838789483425 & 0.486876732279894 \tabularnewline
0.595 & 112.880498215716 & 0.486056974373645 \tabularnewline
0.6 & 112.922192779214 & 0.485036070390247 \tabularnewline
0.605 & 112.963866002090 & 0.484005281471883 \tabularnewline
0.61 & 113.005508667719 & 0.482702423265517 \tabularnewline
0.615 & 113.047109799509 & 0.481186438918328 \tabularnewline
0.62 & 113.088657033463 & 0.479433683684336 \tabularnewline
0.625 & 113.130137076029 & 0.477484358339169 \tabularnewline
0.63 & 113.171536241059 & 0.475280738165785 \tabularnewline
0.635 & 113.212841056007 & 0.472818101531751 \tabularnewline
0.64 & 113.254038923949 & 0.469976056152122 \tabularnewline
0.645 & 113.295118824803 & 0.466983100058466 \tabularnewline
0.65 & 113.336072036416 & 0.463718208193088 \tabularnewline
0.655 & 113.376892854130 & 0.460415613967677 \tabularnewline
0.66 & 113.417579286035 & 0.456844615720491 \tabularnewline
0.665 & 113.458133700552 & 0.453239536918440 \tabularnewline
0.67 & 113.498563403106 & 0.449602587125322 \tabularnewline
0.675 & 113.538881119512 & 0.446004172736891 \tabularnewline
0.68 & 113.579105365171 & 0.442546016954972 \tabularnewline
0.685 & 113.619260681231 & 0.439356723523651 \tabularnewline
0.69 & 113.659377721290 & 0.436394233401237 \tabularnewline
0.695 & 113.699493175047 & 0.433782549617604 \tabularnewline
0.7 & 113.739649518413 & 0.431574146531523 \tabularnewline
0.705 & 113.779894582915 & 0.429849968464114 \tabularnewline
0.71 & 113.820280940901 & 0.428717587835547 \tabularnewline
0.715 & 113.860865107004 & 0.42813213341786 \tabularnewline
0.72 & 113.901706560766 & 0.42813321235527 \tabularnewline
0.725 & 113.942866600313 & 0.428874848989032 \tabularnewline
0.73 & 113.984407042629 & 0.430130762283468 \tabularnewline
0.735 & 114.026388792335 & 0.432127420060816 \tabularnewline
0.74 & 114.068870307996 & 0.434727359934152 \tabularnewline
0.745 & 114.111906002593 & 0.437713735585483 \tabularnewline
0.75 & 114.155544622743 & 0.441271866884059 \tabularnewline
0.755 & 114.199827658977 & 0.445146216198706 \tabularnewline
0.76 & 114.244787846389 & 0.449348574243487 \tabularnewline
0.765 & 114.290447820368 & 0.453667768595398 \tabularnewline
0.77 & 114.336818995217 & 0.457948993511742 \tabularnewline
0.775 & 114.383900733197 & 0.46209300340714 \tabularnewline
0.78 & 114.431679867276 & 0.465943748989348 \tabularnewline
0.785 & 114.480130631748 & 0.469367477213878 \tabularnewline
0.79 & 114.529215040707 & 0.472093196720983 \tabularnewline
0.795 & 114.578883734945 & 0.474176359913681 \tabularnewline
0.8 & 114.629077293733 & 0.475308648247646 \tabularnewline
0.805 & 114.679727980075 & 0.475505003927024 \tabularnewline
0.81 & 114.730761857933 & 0.474662976633764 \tabularnewline
0.815 & 114.782101189662 & 0.472752988348319 \tabularnewline
0.82 & 114.833666993928 & 0.469774225570118 \tabularnewline
0.825 & 114.885381621579 & 0.465763268190336 \tabularnewline
0.83 & 114.937171191988 & 0.460735610305818 \tabularnewline
0.835 & 114.988967728097 & 0.454863976679502 \tabularnewline
0.84 & 115.040710836699 & 0.448223036447512 \tabularnewline
0.845 & 115.092348802720 & 0.440913008280396 \tabularnewline
0.85 & 115.143839002184 & 0.433094850319592 \tabularnewline
0.855 & 115.195147586780 & 0.424904234041372 \tabularnewline
0.86 & 115.246248449912 & 0.416462343440441 \tabularnewline
0.865 & 115.297121545132 & 0.407862089802643 \tabularnewline
0.87 & 115.347750686533 & 0.399189408275012 \tabularnewline
0.875 & 115.398121010442 & 0.390432082173367 \tabularnewline
0.88 & 115.448216312634 & 0.381634434960180 \tabularnewline
0.885 & 115.498016491909 & 0.372687286567212 \tabularnewline
0.89 & 115.547495330080 & 0.363523504859401 \tabularnewline
0.895 & 115.596618827255 & 0.354089094189355 \tabularnewline
0.9 & 115.645344303741 & 0.344235159387009 \tabularnewline
0.905 & 115.693620495452 & 0.33390278981109 \tabularnewline
0.91 & 115.741388929030 & 0.322982695500775 \tabularnewline
0.915 & 115.788586977365 & 0.311453187242289 \tabularnewline
0.92 & 115.835153152390 & 0.299285796409789 \tabularnewline
0.925 & 115.881035329181 & 0.286473378278591 \tabularnewline
0.93 & 115.92620258202 & 0.273036140279185 \tabularnewline
0.935 & 115.970660930186 & 0.259050992888315 \tabularnewline
0.94 & 116.014472242435 & 0.244610942197997 \tabularnewline
0.945 & 116.057773521918 & 0.229881152222886 \tabularnewline
0.95 & 116.100790607545 & 0.215213508716156 \tabularnewline
0.955 & 116.143836192952 & 0.201122811920600 \tabularnewline
0.96 & 116.187277937261 & 0.188543492705984 \tabularnewline
0.965 & 116.231460394727 & 0.17885572413765 \tabularnewline
0.97 & 116.276567866485 & 0.173771555631447 \tabularnewline
0.975 & 116.322428251841 & 0.174943701108505 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19325&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.025[/C][C]106.791344596270[/C][C]0.203233019308778[/C][/ROW]
[ROW][C]0.03[/C][C]106.842299344454[/C][C]0.208729465889735[/C][/ROW]
[ROW][C]0.035[/C][C]106.893433699379[/C][C]0.214897382568964[/C][/ROW]
[ROW][C]0.04[/C][C]106.944042905107[/C][C]0.221670220124095[/C][/ROW]
[ROW][C]0.045[/C][C]106.99381772866[/C][C]0.228998511558045[/C][/ROW]
[ROW][C]0.05[/C][C]107.042714526431[/C][C]0.237050471499471[/C][/ROW]
[ROW][C]0.055[/C][C]107.090846873814[/C][C]0.245879933229577[/C][/ROW]
[ROW][C]0.06[/C][C]107.138406970102[/C][C]0.255473344226969[/C][/ROW]
[ROW][C]0.065[/C][C]107.185614907545[/C][C]0.265808503591925[/C][/ROW]
[ROW][C]0.07[/C][C]107.232689655505[/C][C]0.276834751198175[/C][/ROW]
[ROW][C]0.075[/C][C]107.279834953371[/C][C]0.288497820522450[/C][/ROW]
[ROW][C]0.08[/C][C]107.327234347921[/C][C]0.300851375914564[/C][/ROW]
[ROW][C]0.085[/C][C]107.375051156587[/C][C]0.31398052224457[/C][/ROW]
[ROW][C]0.09[/C][C]107.423430582288[/C][C]0.327709830488648[/C][/ROW]
[ROW][C]0.095[/C][C]107.472502328944[/C][C]0.34215494335932[/C][/ROW]
[ROW][C]0.1[/C][C]107.522382851479[/C][C]0.357355992132115[/C][/ROW]
[ROW][C]0.105[/C][C]107.573176880695[/C][C]0.373290538476736[/C][/ROW]
[ROW][C]0.11[/C][C]107.624978166374[/C][C]0.389967756205148[/C][/ROW]
[ROW][C]0.115[/C][C]107.677869545182[/C][C]0.407175586811627[/C][/ROW]
[ROW][C]0.12[/C][C]107.731922510906[/C][C]0.424903232503352[/C][/ROW]
[ROW][C]0.125[/C][C]107.787196477648[/C][C]0.443143520567212[/C][/ROW]
[ROW][C]0.13[/C][C]107.843737906540[/C][C]0.46174356547375[/C][/ROW]
[ROW][C]0.135[/C][C]107.901579431207[/C][C]0.480518121127203[/C][/ROW]
[ROW][C]0.14[/C][C]107.960739079041[/C][C]0.499372825574667[/C][/ROW]
[ROW][C]0.145[/C][C]108.021219652082[/C][C]0.518250082836057[/C][/ROW]
[ROW][C]0.15[/C][C]108.083008306948[/C][C]0.536857543367358[/C][/ROW]
[ROW][C]0.155[/C][C]108.146076358249[/C][C]0.555174368715337[/C][/ROW]
[ROW][C]0.16[/C][C]108.210379322899[/C][C]0.57298318286231[/C][/ROW]
[ROW][C]0.165[/C][C]108.275857220708[/C][C]0.590141061987953[/C][/ROW]
[ROW][C]0.17[/C][C]108.342435146462[/C][C]0.606571036240363[/C][/ROW]
[ROW][C]0.175[/C][C]108.410024127560[/C][C]0.621871140476098[/C][/ROW]
[ROW][C]0.18[/C][C]108.478522277150[/C][C]0.636123674979307[/C][/ROW]
[ROW][C]0.185[/C][C]108.547816244609[/C][C]0.649143036446105[/C][/ROW]
[ROW][C]0.19[/C][C]108.617782953255[/C][C]0.660706245197851[/C][/ROW]
[ROW][C]0.195[/C][C]108.688291600340[/C][C]0.670793106007403[/C][/ROW]
[ROW][C]0.2[/C][C]108.759205878149[/C][C]0.679423184570217[/C][/ROW]
[ROW][C]0.205[/C][C]108.830386359339[/C][C]0.686516046283894[/C][/ROW]
[ROW][C]0.21[/C][C]108.901692976318[/C][C]0.691935722394555[/C][/ROW]
[ROW][C]0.215[/C][C]108.972987514989[/C][C]0.695768371306852[/C][/ROW]
[ROW][C]0.22[/C][C]109.044136038776[/C][C]0.698131716714901[/C][/ROW]
[ROW][C]0.225[/C][C]109.115011159841[/C][C]0.699062633325657[/C][/ROW]
[ROW][C]0.23[/C][C]109.185494080927[/C][C]0.698585145780187[/C][/ROW]
[ROW][C]0.235[/C][C]109.255476342528[/C][C]0.69702967522713[/C][/ROW]
[ROW][C]0.24[/C][C]109.324861225201[/C][C]0.694340050759747[/C][/ROW]
[ROW][C]0.245[/C][C]109.393564774331[/C][C]0.690751615065982[/C][/ROW]
[ROW][C]0.25[/C][C]109.461516433316[/C][C]0.686413206079484[/C][/ROW]
[ROW][C]0.255[/C][C]109.528659289279[/C][C]0.681386349936844[/C][/ROW]
[ROW][C]0.26[/C][C]109.594949952108[/C][C]0.676042110526393[/C][/ROW]
[ROW][C]0.265[/C][C]109.660358101593[/C][C]0.670242854709219[/C][/ROW]
[ROW][C]0.27[/C][C]109.724865748236[/C][C]0.66427016161518[/C][/ROW]
[ROW][C]0.275[/C][C]109.788466260491[/C][C]0.658309303252607[/C][/ROW]
[ROW][C]0.28[/C][C]109.851163214771[/C][C]0.652347713314655[/C][/ROW]
[ROW][C]0.285[/C][C]109.912969124744[/C][C]0.646509596309509[/C][/ROW]
[ROW][C]0.29[/C][C]109.973904103799[/C][C]0.640657766163288[/C][/ROW]
[ROW][C]0.295[/C][C]110.033994509563[/C][C]0.635256075579155[/C][/ROW]
[ROW][C]0.3[/C][C]110.093271612742[/C][C]0.630067127736209[/C][/ROW]
[ROW][C]0.305[/C][C]110.151770325067[/C][C]0.625237204683519[/C][/ROW]
[ROW][C]0.31[/C][C]110.209528013208[/C][C]0.620555583940552[/C][/ROW]
[ROW][C]0.315[/C][C]110.266583417938[/C][C]0.616253772908439[/C][/ROW]
[ROW][C]0.32[/C][C]110.322975690792[/C][C]0.612358499006969[/C][/ROW]
[ROW][C]0.325[/C][C]110.378743554412[/C][C]0.608699214892692[/C][/ROW]
[ROW][C]0.33[/C][C]110.433924587787[/C][C]0.605382140711527[/C][/ROW]
[ROW][C]0.335[/C][C]110.488554633749[/C][C]0.602323549616253[/C][/ROW]
[ROW][C]0.34[/C][C]110.542667323367[/C][C]0.59938864678731[/C][/ROW]
[ROW][C]0.345[/C][C]110.596293710068[/C][C]0.596735981613049[/C][/ROW]
[ROW][C]0.35[/C][C]110.649462005418[/C][C]0.594285979674234[/C][/ROW]
[ROW][C]0.355[/C][C]110.702197408068[/C][C]0.591925791844252[/C][/ROW]
[ROW][C]0.36[/C][C]110.754522017520[/C][C]0.589741113516633[/C][/ROW]
[ROW][C]0.365[/C][C]110.806454824596[/C][C]0.587564190473258[/C][/ROW]
[ROW][C]0.37[/C][C]110.858011770940[/C][C]0.585433836448345[/C][/ROW]
[ROW][C]0.375[/C][C]110.909205870186[/C][C]0.583286533002492[/C][/ROW]
[ROW][C]0.38[/C][C]110.960047383675[/C][C]0.581254478067776[/C][/ROW]
[ROW][C]0.385[/C][C]111.010544043662[/C][C]0.579090934712846[/C][/ROW]
[ROW][C]0.39[/C][C]111.060701316887[/C][C]0.576847721435534[/C][/ROW]
[ROW][C]0.395[/C][C]111.110522701155[/C][C]0.574438447591798[/C][/ROW]
[ROW][C]0.4[/C][C]111.160010047264[/C][C]0.571993957831872[/C][/ROW]
[ROW][C]0.405[/C][C]111.20916389835[/C][C]0.569469320606058[/C][/ROW]
[ROW][C]0.41[/C][C]111.257983838424[/C][C]0.566733502614655[/C][/ROW]
[ROW][C]0.415[/C][C]111.306468841796[/C][C]0.563967278275403[/C][/ROW]
[ROW][C]0.42[/C][C]111.354617615117[/C][C]0.561113206020539[/C][/ROW]
[ROW][C]0.425[/C][C]111.402428924098[/C][C]0.558016630563165[/C][/ROW]
[ROW][C]0.43[/C][C]111.449901897498[/C][C]0.554854648192008[/C][/ROW]
[ROW][C]0.435[/C][C]111.497036301822[/C][C]0.5516469438481[/C][/ROW]
[ROW][C]0.44[/C][C]111.543832781212[/C][C]0.548344593752677[/C][/ROW]
[ROW][C]0.445[/C][C]111.590293058279[/C][C]0.545045845194092[/C][/ROW]
[ROW][C]0.45[/C][C]111.636420093075[/C][C]0.541598296641757[/C][/ROW]
[ROW][C]0.455[/C][C]111.682218198842[/C][C]0.538235039406022[/C][/ROW]
[ROW][C]0.46[/C][C]111.727693114708[/C][C]0.534830064843541[/C][/ROW]
[ROW][C]0.465[/C][C]111.772852036871[/C][C]0.531457130265847[/C][/ROW]
[ROW][C]0.47[/C][C]111.817703611062[/C][C]0.52816719760179[/C][/ROW]
[ROW][C]0.475[/C][C]111.862257890093[/C][C]0.524912706243279[/C][/ROW]
[ROW][C]0.48[/C][C]111.906526260971[/C][C]0.521861387871[/C][/ROW]
[ROW][C]0.485[/C][C]111.950521346508[/C][C]0.518873993591466[/C][/ROW]
[ROW][C]0.49[/C][C]111.994256886366[/C][C]0.515987985894772[/C][/ROW]
[ROW][C]0.495[/C][C]112.037747602246[/C][C]0.513176411434628[/C][/ROW]
[ROW][C]0.5[/C][C]112.081009051355[/C][C]0.510593326955446[/C][/ROW]
[ROW][C]0.505[/C][C]112.124057471540[/C][C]0.508150143826146[/C][/ROW]
[ROW][C]0.51[/C][C]112.166909620508[/C][C]0.505896321954439[/C][/ROW]
[ROW][C]0.515[/C][C]112.209582610626[/C][C]0.503700404522734[/C][/ROW]
[ROW][C]0.52[/C][C]112.252093739794[/C][C]0.501789862735947[/C][/ROW]
[ROW][C]0.525[/C][C]112.294460318130[/C][C]0.499947345850835[/C][/ROW]
[ROW][C]0.53[/C][C]112.336699489598[/C][C]0.498194707510002[/C][/ROW]
[ROW][C]0.535[/C][C]112.378828047474[/C][C]0.496679492221911[/C][/ROW]
[ROW][C]0.54[/C][C]112.420862242598[/C][C]0.495368182114684[/C][/ROW]
[ROW][C]0.545[/C][C]112.462817583877[/C][C]0.494110063196723[/C][/ROW]
[ROW][C]0.55[/C][C]112.504708631312[/C][C]0.49296447329702[/C][/ROW]
[ROW][C]0.555[/C][C]112.546548783053[/C][C]0.492051616223664[/C][/ROW]
[ROW][C]0.56[/C][C]112.588350059419[/C][C]0.491118862727871[/C][/ROW]
[ROW][C]0.565[/C][C]112.630122888479[/C][C]0.490362112507528[/C][/ROW]
[ROW][C]0.57[/C][C]112.671875899475[/C][C]0.48964615407821[/C][/ROW]
[ROW][C]0.575[/C][C]112.713615731959[/C][C]0.488971444224452[/C][/ROW]
[ROW][C]0.58[/C][C]112.755346869933[/C][C]0.488275941678853[/C][/ROW]
[ROW][C]0.585[/C][C]112.797071511296[/C][C]0.487541942992094[/C][/ROW]
[ROW][C]0.59[/C][C]112.838789483425[/C][C]0.486876732279894[/C][/ROW]
[ROW][C]0.595[/C][C]112.880498215716[/C][C]0.486056974373645[/C][/ROW]
[ROW][C]0.6[/C][C]112.922192779214[/C][C]0.485036070390247[/C][/ROW]
[ROW][C]0.605[/C][C]112.963866002090[/C][C]0.484005281471883[/C][/ROW]
[ROW][C]0.61[/C][C]113.005508667719[/C][C]0.482702423265517[/C][/ROW]
[ROW][C]0.615[/C][C]113.047109799509[/C][C]0.481186438918328[/C][/ROW]
[ROW][C]0.62[/C][C]113.088657033463[/C][C]0.479433683684336[/C][/ROW]
[ROW][C]0.625[/C][C]113.130137076029[/C][C]0.477484358339169[/C][/ROW]
[ROW][C]0.63[/C][C]113.171536241059[/C][C]0.475280738165785[/C][/ROW]
[ROW][C]0.635[/C][C]113.212841056007[/C][C]0.472818101531751[/C][/ROW]
[ROW][C]0.64[/C][C]113.254038923949[/C][C]0.469976056152122[/C][/ROW]
[ROW][C]0.645[/C][C]113.295118824803[/C][C]0.466983100058466[/C][/ROW]
[ROW][C]0.65[/C][C]113.336072036416[/C][C]0.463718208193088[/C][/ROW]
[ROW][C]0.655[/C][C]113.376892854130[/C][C]0.460415613967677[/C][/ROW]
[ROW][C]0.66[/C][C]113.417579286035[/C][C]0.456844615720491[/C][/ROW]
[ROW][C]0.665[/C][C]113.458133700552[/C][C]0.453239536918440[/C][/ROW]
[ROW][C]0.67[/C][C]113.498563403106[/C][C]0.449602587125322[/C][/ROW]
[ROW][C]0.675[/C][C]113.538881119512[/C][C]0.446004172736891[/C][/ROW]
[ROW][C]0.68[/C][C]113.579105365171[/C][C]0.442546016954972[/C][/ROW]
[ROW][C]0.685[/C][C]113.619260681231[/C][C]0.439356723523651[/C][/ROW]
[ROW][C]0.69[/C][C]113.659377721290[/C][C]0.436394233401237[/C][/ROW]
[ROW][C]0.695[/C][C]113.699493175047[/C][C]0.433782549617604[/C][/ROW]
[ROW][C]0.7[/C][C]113.739649518413[/C][C]0.431574146531523[/C][/ROW]
[ROW][C]0.705[/C][C]113.779894582915[/C][C]0.429849968464114[/C][/ROW]
[ROW][C]0.71[/C][C]113.820280940901[/C][C]0.428717587835547[/C][/ROW]
[ROW][C]0.715[/C][C]113.860865107004[/C][C]0.42813213341786[/C][/ROW]
[ROW][C]0.72[/C][C]113.901706560766[/C][C]0.42813321235527[/C][/ROW]
[ROW][C]0.725[/C][C]113.942866600313[/C][C]0.428874848989032[/C][/ROW]
[ROW][C]0.73[/C][C]113.984407042629[/C][C]0.430130762283468[/C][/ROW]
[ROW][C]0.735[/C][C]114.026388792335[/C][C]0.432127420060816[/C][/ROW]
[ROW][C]0.74[/C][C]114.068870307996[/C][C]0.434727359934152[/C][/ROW]
[ROW][C]0.745[/C][C]114.111906002593[/C][C]0.437713735585483[/C][/ROW]
[ROW][C]0.75[/C][C]114.155544622743[/C][C]0.441271866884059[/C][/ROW]
[ROW][C]0.755[/C][C]114.199827658977[/C][C]0.445146216198706[/C][/ROW]
[ROW][C]0.76[/C][C]114.244787846389[/C][C]0.449348574243487[/C][/ROW]
[ROW][C]0.765[/C][C]114.290447820368[/C][C]0.453667768595398[/C][/ROW]
[ROW][C]0.77[/C][C]114.336818995217[/C][C]0.457948993511742[/C][/ROW]
[ROW][C]0.775[/C][C]114.383900733197[/C][C]0.46209300340714[/C][/ROW]
[ROW][C]0.78[/C][C]114.431679867276[/C][C]0.465943748989348[/C][/ROW]
[ROW][C]0.785[/C][C]114.480130631748[/C][C]0.469367477213878[/C][/ROW]
[ROW][C]0.79[/C][C]114.529215040707[/C][C]0.472093196720983[/C][/ROW]
[ROW][C]0.795[/C][C]114.578883734945[/C][C]0.474176359913681[/C][/ROW]
[ROW][C]0.8[/C][C]114.629077293733[/C][C]0.475308648247646[/C][/ROW]
[ROW][C]0.805[/C][C]114.679727980075[/C][C]0.475505003927024[/C][/ROW]
[ROW][C]0.81[/C][C]114.730761857933[/C][C]0.474662976633764[/C][/ROW]
[ROW][C]0.815[/C][C]114.782101189662[/C][C]0.472752988348319[/C][/ROW]
[ROW][C]0.82[/C][C]114.833666993928[/C][C]0.469774225570118[/C][/ROW]
[ROW][C]0.825[/C][C]114.885381621579[/C][C]0.465763268190336[/C][/ROW]
[ROW][C]0.83[/C][C]114.937171191988[/C][C]0.460735610305818[/C][/ROW]
[ROW][C]0.835[/C][C]114.988967728097[/C][C]0.454863976679502[/C][/ROW]
[ROW][C]0.84[/C][C]115.040710836699[/C][C]0.448223036447512[/C][/ROW]
[ROW][C]0.845[/C][C]115.092348802720[/C][C]0.440913008280396[/C][/ROW]
[ROW][C]0.85[/C][C]115.143839002184[/C][C]0.433094850319592[/C][/ROW]
[ROW][C]0.855[/C][C]115.195147586780[/C][C]0.424904234041372[/C][/ROW]
[ROW][C]0.86[/C][C]115.246248449912[/C][C]0.416462343440441[/C][/ROW]
[ROW][C]0.865[/C][C]115.297121545132[/C][C]0.407862089802643[/C][/ROW]
[ROW][C]0.87[/C][C]115.347750686533[/C][C]0.399189408275012[/C][/ROW]
[ROW][C]0.875[/C][C]115.398121010442[/C][C]0.390432082173367[/C][/ROW]
[ROW][C]0.88[/C][C]115.448216312634[/C][C]0.381634434960180[/C][/ROW]
[ROW][C]0.885[/C][C]115.498016491909[/C][C]0.372687286567212[/C][/ROW]
[ROW][C]0.89[/C][C]115.547495330080[/C][C]0.363523504859401[/C][/ROW]
[ROW][C]0.895[/C][C]115.596618827255[/C][C]0.354089094189355[/C][/ROW]
[ROW][C]0.9[/C][C]115.645344303741[/C][C]0.344235159387009[/C][/ROW]
[ROW][C]0.905[/C][C]115.693620495452[/C][C]0.33390278981109[/C][/ROW]
[ROW][C]0.91[/C][C]115.741388929030[/C][C]0.322982695500775[/C][/ROW]
[ROW][C]0.915[/C][C]115.788586977365[/C][C]0.311453187242289[/C][/ROW]
[ROW][C]0.92[/C][C]115.835153152390[/C][C]0.299285796409789[/C][/ROW]
[ROW][C]0.925[/C][C]115.881035329181[/C][C]0.286473378278591[/C][/ROW]
[ROW][C]0.93[/C][C]115.92620258202[/C][C]0.273036140279185[/C][/ROW]
[ROW][C]0.935[/C][C]115.970660930186[/C][C]0.259050992888315[/C][/ROW]
[ROW][C]0.94[/C][C]116.014472242435[/C][C]0.244610942197997[/C][/ROW]
[ROW][C]0.945[/C][C]116.057773521918[/C][C]0.229881152222886[/C][/ROW]
[ROW][C]0.95[/C][C]116.100790607545[/C][C]0.215213508716156[/C][/ROW]
[ROW][C]0.955[/C][C]116.143836192952[/C][C]0.201122811920600[/C][/ROW]
[ROW][C]0.96[/C][C]116.187277937261[/C][C]0.188543492705984[/C][/ROW]
[ROW][C]0.965[/C][C]116.231460394727[/C][C]0.17885572413765[/C][/ROW]
[ROW][C]0.97[/C][C]116.276567866485[/C][C]0.173771555631447[/C][/ROW]
[ROW][C]0.975[/C][C]116.322428251841[/C][C]0.174943701108505[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19325&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19325&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
0.025106.7913445962700.203233019308778
0.03106.8422993444540.208729465889735
0.035106.8934336993790.214897382568964
0.04106.9440429051070.221670220124095
0.045106.993817728660.228998511558045
0.05107.0427145264310.237050471499471
0.055107.0908468738140.245879933229577
0.06107.1384069701020.255473344226969
0.065107.1856149075450.265808503591925
0.07107.2326896555050.276834751198175
0.075107.2798349533710.288497820522450
0.08107.3272343479210.300851375914564
0.085107.3750511565870.31398052224457
0.09107.4234305822880.327709830488648
0.095107.4725023289440.34215494335932
0.1107.5223828514790.357355992132115
0.105107.5731768806950.373290538476736
0.11107.6249781663740.389967756205148
0.115107.6778695451820.407175586811627
0.12107.7319225109060.424903232503352
0.125107.7871964776480.443143520567212
0.13107.8437379065400.46174356547375
0.135107.9015794312070.480518121127203
0.14107.9607390790410.499372825574667
0.145108.0212196520820.518250082836057
0.15108.0830083069480.536857543367358
0.155108.1460763582490.555174368715337
0.16108.2103793228990.57298318286231
0.165108.2758572207080.590141061987953
0.17108.3424351464620.606571036240363
0.175108.4100241275600.621871140476098
0.18108.4785222771500.636123674979307
0.185108.5478162446090.649143036446105
0.19108.6177829532550.660706245197851
0.195108.6882916003400.670793106007403
0.2108.7592058781490.679423184570217
0.205108.8303863593390.686516046283894
0.21108.9016929763180.691935722394555
0.215108.9729875149890.695768371306852
0.22109.0441360387760.698131716714901
0.225109.1150111598410.699062633325657
0.23109.1854940809270.698585145780187
0.235109.2554763425280.69702967522713
0.24109.3248612252010.694340050759747
0.245109.3935647743310.690751615065982
0.25109.4615164333160.686413206079484
0.255109.5286592892790.681386349936844
0.26109.5949499521080.676042110526393
0.265109.6603581015930.670242854709219
0.27109.7248657482360.66427016161518
0.275109.7884662604910.658309303252607
0.28109.8511632147710.652347713314655
0.285109.9129691247440.646509596309509
0.29109.9739041037990.640657766163288
0.295110.0339945095630.635256075579155
0.3110.0932716127420.630067127736209
0.305110.1517703250670.625237204683519
0.31110.2095280132080.620555583940552
0.315110.2665834179380.616253772908439
0.32110.3229756907920.612358499006969
0.325110.3787435544120.608699214892692
0.33110.4339245877870.605382140711527
0.335110.4885546337490.602323549616253
0.34110.5426673233670.59938864678731
0.345110.5962937100680.596735981613049
0.35110.6494620054180.594285979674234
0.355110.7021974080680.591925791844252
0.36110.7545220175200.589741113516633
0.365110.8064548245960.587564190473258
0.37110.8580117709400.585433836448345
0.375110.9092058701860.583286533002492
0.38110.9600473836750.581254478067776
0.385111.0105440436620.579090934712846
0.39111.0607013168870.576847721435534
0.395111.1105227011550.574438447591798
0.4111.1600100472640.571993957831872
0.405111.209163898350.569469320606058
0.41111.2579838384240.566733502614655
0.415111.3064688417960.563967278275403
0.42111.3546176151170.561113206020539
0.425111.4024289240980.558016630563165
0.43111.4499018974980.554854648192008
0.435111.4970363018220.5516469438481
0.44111.5438327812120.548344593752677
0.445111.5902930582790.545045845194092
0.45111.6364200930750.541598296641757
0.455111.6822181988420.538235039406022
0.46111.7276931147080.534830064843541
0.465111.7728520368710.531457130265847
0.47111.8177036110620.52816719760179
0.475111.8622578900930.524912706243279
0.48111.9065262609710.521861387871
0.485111.9505213465080.518873993591466
0.49111.9942568863660.515987985894772
0.495112.0377476022460.513176411434628
0.5112.0810090513550.510593326955446
0.505112.1240574715400.508150143826146
0.51112.1669096205080.505896321954439
0.515112.2095826106260.503700404522734
0.52112.2520937397940.501789862735947
0.525112.2944603181300.499947345850835
0.53112.3366994895980.498194707510002
0.535112.3788280474740.496679492221911
0.54112.4208622425980.495368182114684
0.545112.4628175838770.494110063196723
0.55112.5047086313120.49296447329702
0.555112.5465487830530.492051616223664
0.56112.5883500594190.491118862727871
0.565112.6301228884790.490362112507528
0.57112.6718758994750.48964615407821
0.575112.7136157319590.488971444224452
0.58112.7553468699330.488275941678853
0.585112.7970715112960.487541942992094
0.59112.8387894834250.486876732279894
0.595112.8804982157160.486056974373645
0.6112.9221927792140.485036070390247
0.605112.9638660020900.484005281471883
0.61113.0055086677190.482702423265517
0.615113.0471097995090.481186438918328
0.62113.0886570334630.479433683684336
0.625113.1301370760290.477484358339169
0.63113.1715362410590.475280738165785
0.635113.2128410560070.472818101531751
0.64113.2540389239490.469976056152122
0.645113.2951188248030.466983100058466
0.65113.3360720364160.463718208193088
0.655113.3768928541300.460415613967677
0.66113.4175792860350.456844615720491
0.665113.4581337005520.453239536918440
0.67113.4985634031060.449602587125322
0.675113.5388811195120.446004172736891
0.68113.5791053651710.442546016954972
0.685113.6192606812310.439356723523651
0.69113.6593777212900.436394233401237
0.695113.6994931750470.433782549617604
0.7113.7396495184130.431574146531523
0.705113.7798945829150.429849968464114
0.71113.8202809409010.428717587835547
0.715113.8608651070040.42813213341786
0.72113.9017065607660.42813321235527
0.725113.9428666003130.428874848989032
0.73113.9844070426290.430130762283468
0.735114.0263887923350.432127420060816
0.74114.0688703079960.434727359934152
0.745114.1119060025930.437713735585483
0.75114.1555446227430.441271866884059
0.755114.1998276589770.445146216198706
0.76114.2447878463890.449348574243487
0.765114.2904478203680.453667768595398
0.77114.3368189952170.457948993511742
0.775114.3839007331970.46209300340714
0.78114.4316798672760.465943748989348
0.785114.4801306317480.469367477213878
0.79114.5292150407070.472093196720983
0.795114.5788837349450.474176359913681
0.8114.6290772937330.475308648247646
0.805114.6797279800750.475505003927024
0.81114.7307618579330.474662976633764
0.815114.7821011896620.472752988348319
0.82114.8336669939280.469774225570118
0.825114.8853816215790.465763268190336
0.83114.9371711919880.460735610305818
0.835114.9889677280970.454863976679502
0.84115.0407108366990.448223036447512
0.845115.0923488027200.440913008280396
0.85115.1438390021840.433094850319592
0.855115.1951475867800.424904234041372
0.86115.2462484499120.416462343440441
0.865115.2971215451320.407862089802643
0.87115.3477506865330.399189408275012
0.875115.3981210104420.390432082173367
0.88115.4482163126340.381634434960180
0.885115.4980164919090.372687286567212
0.89115.5474953300800.363523504859401
0.895115.5966188272550.354089094189355
0.9115.6453443037410.344235159387009
0.905115.6936204954520.33390278981109
0.91115.7413889290300.322982695500775
0.915115.7885869773650.311453187242289
0.92115.8351531523900.299285796409789
0.925115.8810353291810.286473378278591
0.93115.926202582020.273036140279185
0.935115.9706609301860.259050992888315
0.94116.0144722424350.244610942197997
0.945116.0577735219180.229881152222886
0.95116.1007906075450.215213508716156
0.955116.1438361929520.201122811920600
0.96116.1872779372610.188543492705984
0.965116.2314603947270.17885572413765
0.97116.2765678664850.173771555631447
0.975116.3224282518410.174943701108505


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.025 ; par2 = 0.975 ; par3 = 0.005 ;
Parameters (R input):
par1 = 0.025 ; par2 = 0.975 ; par3 = 0.005 ;
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')