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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 26 Feb 2015 18:19:05 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/26/t142497478094q1gybeoudceei.htm/, Retrieved Sat, 18 May 2024 05:32:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277657, Retrieved Sat, 18 May 2024 05:32:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

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] [harrell-davis per...] [2015-02-26 18:19:05] [b807b9265c4c1efe31f917466850b643] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100,05
100,05
100,05
100,05
100,05
108,77
111,32
111,6
108,52
103,13
102,87
102,75
102,75
102,75
102,75
102,75
102,75
115,22
115,53
115,4
111,99
107,93
107,43
106,98
106,98
106,98
106,98
106,98
106,98
113,71
118,77
118,54
116,16
110,52
110,06
109,9
109,9
110,72
110,09
110,07
112,45
113,06
119,83
119,84
113,73
110,5
110,12
109,86
110,36
110,36
110,59
112,52
112,1
115,9
122,96
121,26
114,55
111,57
110,65
109,77
112,38
112,35
112,2
114,46
116,26
119,57
127,77
126,59
120,45
116,38
116,3
115,05
115,05
115,22
115,19
116,07
120,42
121,88
130,74
130,74
124,64
120,5
120,1
119,62

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277657&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277657&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277657&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01100.0606361761650.043036341718735
0.02100.1122465306960.195362138564558
0.03100.2483866016190.475383022469334
0.04100.4998181960120.807124958137382
0.05100.8605348957771.06465792434088
0.06101.2871719057111.1611632721009
0.07101.7218590248391.10015534481273
0.08102.1204814480360.961361684167807
0.09102.4686573893110.853560122290802
0.1102.7802683764780.863594103437498
0.11103.0845235058171.00509790570978
0.12103.4107866338541.22625645037434
0.13103.7776739859981.46159184645341
0.14104.1887186117941.65568686130297
0.15104.6338681764071.77153612898076
0.16105.0946605318181.79551310258113
0.17105.5506159540431.73707571391938
0.18105.9847450009641.62307613705519
0.19106.3868386645121.48813553953889
0.2106.7541503546331.3644579563847
0.21107.0899220262961.27300693625692
0.22107.4007165509181.21961062494798
0.23107.6936088402521.19561240031864
0.24107.974038266451.18553748389604
0.25108.2447110289311.17257863989071
0.26108.5055419217841.14538139551509
0.27108.7543550471851.09733691001228
0.28108.9879558978511.02822111819489
0.29109.2032153047840.942081433891598
0.3109.3979135557720.846212219980859
0.31109.5712250542170.748483286949747
0.32109.7238398777420.656709466964974
0.33109.8577971954980.577208246494966
0.34109.9761416671760.514491264344419
0.35110.0825137552090.470849110913687
0.36110.1807603530180.446862575264523
0.37110.2746168868250.441106904193131
0.38110.3674780438830.451272485619807
0.39110.4622496919950.474291378022263
0.4110.5612628676730.507000970215794
0.41110.6662309742460.545992697097996
0.42110.7782393789080.588582766591626
0.43110.8977668173830.630821779716711
0.44111.024745201770.670457314669915
0.45111.158665251820.705432947755523
0.46111.2987291426460.734376902617354
0.47111.4440399790080.757635303199966
0.48111.5938050829140.776169207625783
0.49111.7475201508040.792400778354134
0.5111.9050979737370.809229349695011
0.51112.0669106157350.829649416556835
0.52112.2337274944480.855915866586488
0.53112.4065513018530.889012588642399
0.54112.5863750986030.928123015844701
0.55112.7739024484860.970570195463401
0.56112.9692837273161.01225224905429
0.57113.1719227352361.04866009707941
0.58113.3803976042951.07475225782279
0.59113.5925203224751.08655771008604
0.6113.8055338127521.08172022035312
0.61114.0164197075211.05963624205213
0.62114.2222693875741.02174271881463
0.63114.4206602132830.971585781088707
0.64114.6099807313480.914196600464743
0.65114.789662571460.855437440758722
0.66114.9602990555940.801442890433584
0.67115.1236547474720.758251489836828
0.68115.2825884265940.731147542154085
0.69115.4409173922290.724439948351926
0.7115.603240493090.741167503781881
0.71115.7747140202250.783194475716111
0.72115.960748893690.850789709373002
0.73116.1665847650680.941748833489219
0.74116.3967116761771.05105901136177
0.75116.6541595328191.17048667908952
0.76116.9397515231541.2877605972539
0.77117.251494268171.3888301155373
0.78117.5843187035021.45920355160226
0.79117.9303591594251.487272445194
0.8118.2798535087411.46674961023842
0.81118.6225884700451.39865730214243
0.82118.9496564280541.29203339569385
0.83119.2551988213591.16243273015893
0.84119.5378291534811.03009286970623
0.85119.8015492148920.91692846964581
0.86120.0561348435990.844631637125058
0.87120.3170851426530.832316291684845
0.88120.6052315356470.893588806230781
0.89120.9459755100581.03288663925076
0.9121.3679249067061.24589580448298
0.91121.9005747982361.51922065186419
0.92122.5708745392221.82785607315121
0.93123.3992244062052.13355622447319
0.94124.3961089366362.38982848190374
0.95125.5589149292682.55768974360017
0.96126.8618509296592.61321331366655
0.97128.2261563445742.4953396794948
0.98129.4782502620922.01153682815517
0.99130.3678656994771.01335274248887

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.060636176165 & 0.043036341718735 \tabularnewline
0.02 & 100.112246530696 & 0.195362138564558 \tabularnewline
0.03 & 100.248386601619 & 0.475383022469334 \tabularnewline
0.04 & 100.499818196012 & 0.807124958137382 \tabularnewline
0.05 & 100.860534895777 & 1.06465792434088 \tabularnewline
0.06 & 101.287171905711 & 1.1611632721009 \tabularnewline
0.07 & 101.721859024839 & 1.10015534481273 \tabularnewline
0.08 & 102.120481448036 & 0.961361684167807 \tabularnewline
0.09 & 102.468657389311 & 0.853560122290802 \tabularnewline
0.1 & 102.780268376478 & 0.863594103437498 \tabularnewline
0.11 & 103.084523505817 & 1.00509790570978 \tabularnewline
0.12 & 103.410786633854 & 1.22625645037434 \tabularnewline
0.13 & 103.777673985998 & 1.46159184645341 \tabularnewline
0.14 & 104.188718611794 & 1.65568686130297 \tabularnewline
0.15 & 104.633868176407 & 1.77153612898076 \tabularnewline
0.16 & 105.094660531818 & 1.79551310258113 \tabularnewline
0.17 & 105.550615954043 & 1.73707571391938 \tabularnewline
0.18 & 105.984745000964 & 1.62307613705519 \tabularnewline
0.19 & 106.386838664512 & 1.48813553953889 \tabularnewline
0.2 & 106.754150354633 & 1.3644579563847 \tabularnewline
0.21 & 107.089922026296 & 1.27300693625692 \tabularnewline
0.22 & 107.400716550918 & 1.21961062494798 \tabularnewline
0.23 & 107.693608840252 & 1.19561240031864 \tabularnewline
0.24 & 107.97403826645 & 1.18553748389604 \tabularnewline
0.25 & 108.244711028931 & 1.17257863989071 \tabularnewline
0.26 & 108.505541921784 & 1.14538139551509 \tabularnewline
0.27 & 108.754355047185 & 1.09733691001228 \tabularnewline
0.28 & 108.987955897851 & 1.02822111819489 \tabularnewline
0.29 & 109.203215304784 & 0.942081433891598 \tabularnewline
0.3 & 109.397913555772 & 0.846212219980859 \tabularnewline
0.31 & 109.571225054217 & 0.748483286949747 \tabularnewline
0.32 & 109.723839877742 & 0.656709466964974 \tabularnewline
0.33 & 109.857797195498 & 0.577208246494966 \tabularnewline
0.34 & 109.976141667176 & 0.514491264344419 \tabularnewline
0.35 & 110.082513755209 & 0.470849110913687 \tabularnewline
0.36 & 110.180760353018 & 0.446862575264523 \tabularnewline
0.37 & 110.274616886825 & 0.441106904193131 \tabularnewline
0.38 & 110.367478043883 & 0.451272485619807 \tabularnewline
0.39 & 110.462249691995 & 0.474291378022263 \tabularnewline
0.4 & 110.561262867673 & 0.507000970215794 \tabularnewline
0.41 & 110.666230974246 & 0.545992697097996 \tabularnewline
0.42 & 110.778239378908 & 0.588582766591626 \tabularnewline
0.43 & 110.897766817383 & 0.630821779716711 \tabularnewline
0.44 & 111.02474520177 & 0.670457314669915 \tabularnewline
0.45 & 111.15866525182 & 0.705432947755523 \tabularnewline
0.46 & 111.298729142646 & 0.734376902617354 \tabularnewline
0.47 & 111.444039979008 & 0.757635303199966 \tabularnewline
0.48 & 111.593805082914 & 0.776169207625783 \tabularnewline
0.49 & 111.747520150804 & 0.792400778354134 \tabularnewline
0.5 & 111.905097973737 & 0.809229349695011 \tabularnewline
0.51 & 112.066910615735 & 0.829649416556835 \tabularnewline
0.52 & 112.233727494448 & 0.855915866586488 \tabularnewline
0.53 & 112.406551301853 & 0.889012588642399 \tabularnewline
0.54 & 112.586375098603 & 0.928123015844701 \tabularnewline
0.55 & 112.773902448486 & 0.970570195463401 \tabularnewline
0.56 & 112.969283727316 & 1.01225224905429 \tabularnewline
0.57 & 113.171922735236 & 1.04866009707941 \tabularnewline
0.58 & 113.380397604295 & 1.07475225782279 \tabularnewline
0.59 & 113.592520322475 & 1.08655771008604 \tabularnewline
0.6 & 113.805533812752 & 1.08172022035312 \tabularnewline
0.61 & 114.016419707521 & 1.05963624205213 \tabularnewline
0.62 & 114.222269387574 & 1.02174271881463 \tabularnewline
0.63 & 114.420660213283 & 0.971585781088707 \tabularnewline
0.64 & 114.609980731348 & 0.914196600464743 \tabularnewline
0.65 & 114.78966257146 & 0.855437440758722 \tabularnewline
0.66 & 114.960299055594 & 0.801442890433584 \tabularnewline
0.67 & 115.123654747472 & 0.758251489836828 \tabularnewline
0.68 & 115.282588426594 & 0.731147542154085 \tabularnewline
0.69 & 115.440917392229 & 0.724439948351926 \tabularnewline
0.7 & 115.60324049309 & 0.741167503781881 \tabularnewline
0.71 & 115.774714020225 & 0.783194475716111 \tabularnewline
0.72 & 115.96074889369 & 0.850789709373002 \tabularnewline
0.73 & 116.166584765068 & 0.941748833489219 \tabularnewline
0.74 & 116.396711676177 & 1.05105901136177 \tabularnewline
0.75 & 116.654159532819 & 1.17048667908952 \tabularnewline
0.76 & 116.939751523154 & 1.2877605972539 \tabularnewline
0.77 & 117.25149426817 & 1.3888301155373 \tabularnewline
0.78 & 117.584318703502 & 1.45920355160226 \tabularnewline
0.79 & 117.930359159425 & 1.487272445194 \tabularnewline
0.8 & 118.279853508741 & 1.46674961023842 \tabularnewline
0.81 & 118.622588470045 & 1.39865730214243 \tabularnewline
0.82 & 118.949656428054 & 1.29203339569385 \tabularnewline
0.83 & 119.255198821359 & 1.16243273015893 \tabularnewline
0.84 & 119.537829153481 & 1.03009286970623 \tabularnewline
0.85 & 119.801549214892 & 0.91692846964581 \tabularnewline
0.86 & 120.056134843599 & 0.844631637125058 \tabularnewline
0.87 & 120.317085142653 & 0.832316291684845 \tabularnewline
0.88 & 120.605231535647 & 0.893588806230781 \tabularnewline
0.89 & 120.945975510058 & 1.03288663925076 \tabularnewline
0.9 & 121.367924906706 & 1.24589580448298 \tabularnewline
0.91 & 121.900574798236 & 1.51922065186419 \tabularnewline
0.92 & 122.570874539222 & 1.82785607315121 \tabularnewline
0.93 & 123.399224406205 & 2.13355622447319 \tabularnewline
0.94 & 124.396108936636 & 2.38982848190374 \tabularnewline
0.95 & 125.558914929268 & 2.55768974360017 \tabularnewline
0.96 & 126.861850929659 & 2.61321331366655 \tabularnewline
0.97 & 128.226156344574 & 2.4953396794948 \tabularnewline
0.98 & 129.478250262092 & 2.01153682815517 \tabularnewline
0.99 & 130.367865699477 & 1.01335274248887 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277657&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]100.060636176165[/C][C]0.043036341718735[/C][/ROW]
[ROW][C]0.02[/C][C]100.112246530696[/C][C]0.195362138564558[/C][/ROW]
[ROW][C]0.03[/C][C]100.248386601619[/C][C]0.475383022469334[/C][/ROW]
[ROW][C]0.04[/C][C]100.499818196012[/C][C]0.807124958137382[/C][/ROW]
[ROW][C]0.05[/C][C]100.860534895777[/C][C]1.06465792434088[/C][/ROW]
[ROW][C]0.06[/C][C]101.287171905711[/C][C]1.1611632721009[/C][/ROW]
[ROW][C]0.07[/C][C]101.721859024839[/C][C]1.10015534481273[/C][/ROW]
[ROW][C]0.08[/C][C]102.120481448036[/C][C]0.961361684167807[/C][/ROW]
[ROW][C]0.09[/C][C]102.468657389311[/C][C]0.853560122290802[/C][/ROW]
[ROW][C]0.1[/C][C]102.780268376478[/C][C]0.863594103437498[/C][/ROW]
[ROW][C]0.11[/C][C]103.084523505817[/C][C]1.00509790570978[/C][/ROW]
[ROW][C]0.12[/C][C]103.410786633854[/C][C]1.22625645037434[/C][/ROW]
[ROW][C]0.13[/C][C]103.777673985998[/C][C]1.46159184645341[/C][/ROW]
[ROW][C]0.14[/C][C]104.188718611794[/C][C]1.65568686130297[/C][/ROW]
[ROW][C]0.15[/C][C]104.633868176407[/C][C]1.77153612898076[/C][/ROW]
[ROW][C]0.16[/C][C]105.094660531818[/C][C]1.79551310258113[/C][/ROW]
[ROW][C]0.17[/C][C]105.550615954043[/C][C]1.73707571391938[/C][/ROW]
[ROW][C]0.18[/C][C]105.984745000964[/C][C]1.62307613705519[/C][/ROW]
[ROW][C]0.19[/C][C]106.386838664512[/C][C]1.48813553953889[/C][/ROW]
[ROW][C]0.2[/C][C]106.754150354633[/C][C]1.3644579563847[/C][/ROW]
[ROW][C]0.21[/C][C]107.089922026296[/C][C]1.27300693625692[/C][/ROW]
[ROW][C]0.22[/C][C]107.400716550918[/C][C]1.21961062494798[/C][/ROW]
[ROW][C]0.23[/C][C]107.693608840252[/C][C]1.19561240031864[/C][/ROW]
[ROW][C]0.24[/C][C]107.97403826645[/C][C]1.18553748389604[/C][/ROW]
[ROW][C]0.25[/C][C]108.244711028931[/C][C]1.17257863989071[/C][/ROW]
[ROW][C]0.26[/C][C]108.505541921784[/C][C]1.14538139551509[/C][/ROW]
[ROW][C]0.27[/C][C]108.754355047185[/C][C]1.09733691001228[/C][/ROW]
[ROW][C]0.28[/C][C]108.987955897851[/C][C]1.02822111819489[/C][/ROW]
[ROW][C]0.29[/C][C]109.203215304784[/C][C]0.942081433891598[/C][/ROW]
[ROW][C]0.3[/C][C]109.397913555772[/C][C]0.846212219980859[/C][/ROW]
[ROW][C]0.31[/C][C]109.571225054217[/C][C]0.748483286949747[/C][/ROW]
[ROW][C]0.32[/C][C]109.723839877742[/C][C]0.656709466964974[/C][/ROW]
[ROW][C]0.33[/C][C]109.857797195498[/C][C]0.577208246494966[/C][/ROW]
[ROW][C]0.34[/C][C]109.976141667176[/C][C]0.514491264344419[/C][/ROW]
[ROW][C]0.35[/C][C]110.082513755209[/C][C]0.470849110913687[/C][/ROW]
[ROW][C]0.36[/C][C]110.180760353018[/C][C]0.446862575264523[/C][/ROW]
[ROW][C]0.37[/C][C]110.274616886825[/C][C]0.441106904193131[/C][/ROW]
[ROW][C]0.38[/C][C]110.367478043883[/C][C]0.451272485619807[/C][/ROW]
[ROW][C]0.39[/C][C]110.462249691995[/C][C]0.474291378022263[/C][/ROW]
[ROW][C]0.4[/C][C]110.561262867673[/C][C]0.507000970215794[/C][/ROW]
[ROW][C]0.41[/C][C]110.666230974246[/C][C]0.545992697097996[/C][/ROW]
[ROW][C]0.42[/C][C]110.778239378908[/C][C]0.588582766591626[/C][/ROW]
[ROW][C]0.43[/C][C]110.897766817383[/C][C]0.630821779716711[/C][/ROW]
[ROW][C]0.44[/C][C]111.02474520177[/C][C]0.670457314669915[/C][/ROW]
[ROW][C]0.45[/C][C]111.15866525182[/C][C]0.705432947755523[/C][/ROW]
[ROW][C]0.46[/C][C]111.298729142646[/C][C]0.734376902617354[/C][/ROW]
[ROW][C]0.47[/C][C]111.444039979008[/C][C]0.757635303199966[/C][/ROW]
[ROW][C]0.48[/C][C]111.593805082914[/C][C]0.776169207625783[/C][/ROW]
[ROW][C]0.49[/C][C]111.747520150804[/C][C]0.792400778354134[/C][/ROW]
[ROW][C]0.5[/C][C]111.905097973737[/C][C]0.809229349695011[/C][/ROW]
[ROW][C]0.51[/C][C]112.066910615735[/C][C]0.829649416556835[/C][/ROW]
[ROW][C]0.52[/C][C]112.233727494448[/C][C]0.855915866586488[/C][/ROW]
[ROW][C]0.53[/C][C]112.406551301853[/C][C]0.889012588642399[/C][/ROW]
[ROW][C]0.54[/C][C]112.586375098603[/C][C]0.928123015844701[/C][/ROW]
[ROW][C]0.55[/C][C]112.773902448486[/C][C]0.970570195463401[/C][/ROW]
[ROW][C]0.56[/C][C]112.969283727316[/C][C]1.01225224905429[/C][/ROW]
[ROW][C]0.57[/C][C]113.171922735236[/C][C]1.04866009707941[/C][/ROW]
[ROW][C]0.58[/C][C]113.380397604295[/C][C]1.07475225782279[/C][/ROW]
[ROW][C]0.59[/C][C]113.592520322475[/C][C]1.08655771008604[/C][/ROW]
[ROW][C]0.6[/C][C]113.805533812752[/C][C]1.08172022035312[/C][/ROW]
[ROW][C]0.61[/C][C]114.016419707521[/C][C]1.05963624205213[/C][/ROW]
[ROW][C]0.62[/C][C]114.222269387574[/C][C]1.02174271881463[/C][/ROW]
[ROW][C]0.63[/C][C]114.420660213283[/C][C]0.971585781088707[/C][/ROW]
[ROW][C]0.64[/C][C]114.609980731348[/C][C]0.914196600464743[/C][/ROW]
[ROW][C]0.65[/C][C]114.78966257146[/C][C]0.855437440758722[/C][/ROW]
[ROW][C]0.66[/C][C]114.960299055594[/C][C]0.801442890433584[/C][/ROW]
[ROW][C]0.67[/C][C]115.123654747472[/C][C]0.758251489836828[/C][/ROW]
[ROW][C]0.68[/C][C]115.282588426594[/C][C]0.731147542154085[/C][/ROW]
[ROW][C]0.69[/C][C]115.440917392229[/C][C]0.724439948351926[/C][/ROW]
[ROW][C]0.7[/C][C]115.60324049309[/C][C]0.741167503781881[/C][/ROW]
[ROW][C]0.71[/C][C]115.774714020225[/C][C]0.783194475716111[/C][/ROW]
[ROW][C]0.72[/C][C]115.96074889369[/C][C]0.850789709373002[/C][/ROW]
[ROW][C]0.73[/C][C]116.166584765068[/C][C]0.941748833489219[/C][/ROW]
[ROW][C]0.74[/C][C]116.396711676177[/C][C]1.05105901136177[/C][/ROW]
[ROW][C]0.75[/C][C]116.654159532819[/C][C]1.17048667908952[/C][/ROW]
[ROW][C]0.76[/C][C]116.939751523154[/C][C]1.2877605972539[/C][/ROW]
[ROW][C]0.77[/C][C]117.25149426817[/C][C]1.3888301155373[/C][/ROW]
[ROW][C]0.78[/C][C]117.584318703502[/C][C]1.45920355160226[/C][/ROW]
[ROW][C]0.79[/C][C]117.930359159425[/C][C]1.487272445194[/C][/ROW]
[ROW][C]0.8[/C][C]118.279853508741[/C][C]1.46674961023842[/C][/ROW]
[ROW][C]0.81[/C][C]118.622588470045[/C][C]1.39865730214243[/C][/ROW]
[ROW][C]0.82[/C][C]118.949656428054[/C][C]1.29203339569385[/C][/ROW]
[ROW][C]0.83[/C][C]119.255198821359[/C][C]1.16243273015893[/C][/ROW]
[ROW][C]0.84[/C][C]119.537829153481[/C][C]1.03009286970623[/C][/ROW]
[ROW][C]0.85[/C][C]119.801549214892[/C][C]0.91692846964581[/C][/ROW]
[ROW][C]0.86[/C][C]120.056134843599[/C][C]0.844631637125058[/C][/ROW]
[ROW][C]0.87[/C][C]120.317085142653[/C][C]0.832316291684845[/C][/ROW]
[ROW][C]0.88[/C][C]120.605231535647[/C][C]0.893588806230781[/C][/ROW]
[ROW][C]0.89[/C][C]120.945975510058[/C][C]1.03288663925076[/C][/ROW]
[ROW][C]0.9[/C][C]121.367924906706[/C][C]1.24589580448298[/C][/ROW]
[ROW][C]0.91[/C][C]121.900574798236[/C][C]1.51922065186419[/C][/ROW]
[ROW][C]0.92[/C][C]122.570874539222[/C][C]1.82785607315121[/C][/ROW]
[ROW][C]0.93[/C][C]123.399224406205[/C][C]2.13355622447319[/C][/ROW]
[ROW][C]0.94[/C][C]124.396108936636[/C][C]2.38982848190374[/C][/ROW]
[ROW][C]0.95[/C][C]125.558914929268[/C][C]2.55768974360017[/C][/ROW]
[ROW][C]0.96[/C][C]126.861850929659[/C][C]2.61321331366655[/C][/ROW]
[ROW][C]0.97[/C][C]128.226156344574[/C][C]2.4953396794948[/C][/ROW]
[ROW][C]0.98[/C][C]129.478250262092[/C][C]2.01153682815517[/C][/ROW]
[ROW][C]0.99[/C][C]130.367865699477[/C][C]1.01335274248887[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277657&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277657&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01100.0606361761650.043036341718735
0.02100.1122465306960.195362138564558
0.03100.2483866016190.475383022469334
0.04100.4998181960120.807124958137382
0.05100.8605348957771.06465792434088
0.06101.2871719057111.1611632721009
0.07101.7218590248391.10015534481273
0.08102.1204814480360.961361684167807
0.09102.4686573893110.853560122290802
0.1102.7802683764780.863594103437498
0.11103.0845235058171.00509790570978
0.12103.4107866338541.22625645037434
0.13103.7776739859981.46159184645341
0.14104.1887186117941.65568686130297
0.15104.6338681764071.77153612898076
0.16105.0946605318181.79551310258113
0.17105.5506159540431.73707571391938
0.18105.9847450009641.62307613705519
0.19106.3868386645121.48813553953889
0.2106.7541503546331.3644579563847
0.21107.0899220262961.27300693625692
0.22107.4007165509181.21961062494798
0.23107.6936088402521.19561240031864
0.24107.974038266451.18553748389604
0.25108.2447110289311.17257863989071
0.26108.5055419217841.14538139551509
0.27108.7543550471851.09733691001228
0.28108.9879558978511.02822111819489
0.29109.2032153047840.942081433891598
0.3109.3979135557720.846212219980859
0.31109.5712250542170.748483286949747
0.32109.7238398777420.656709466964974
0.33109.8577971954980.577208246494966
0.34109.9761416671760.514491264344419
0.35110.0825137552090.470849110913687
0.36110.1807603530180.446862575264523
0.37110.2746168868250.441106904193131
0.38110.3674780438830.451272485619807
0.39110.4622496919950.474291378022263
0.4110.5612628676730.507000970215794
0.41110.6662309742460.545992697097996
0.42110.7782393789080.588582766591626
0.43110.8977668173830.630821779716711
0.44111.024745201770.670457314669915
0.45111.158665251820.705432947755523
0.46111.2987291426460.734376902617354
0.47111.4440399790080.757635303199966
0.48111.5938050829140.776169207625783
0.49111.7475201508040.792400778354134
0.5111.9050979737370.809229349695011
0.51112.0669106157350.829649416556835
0.52112.2337274944480.855915866586488
0.53112.4065513018530.889012588642399
0.54112.5863750986030.928123015844701
0.55112.7739024484860.970570195463401
0.56112.9692837273161.01225224905429
0.57113.1719227352361.04866009707941
0.58113.3803976042951.07475225782279
0.59113.5925203224751.08655771008604
0.6113.8055338127521.08172022035312
0.61114.0164197075211.05963624205213
0.62114.2222693875741.02174271881463
0.63114.4206602132830.971585781088707
0.64114.6099807313480.914196600464743
0.65114.789662571460.855437440758722
0.66114.9602990555940.801442890433584
0.67115.1236547474720.758251489836828
0.68115.2825884265940.731147542154085
0.69115.4409173922290.724439948351926
0.7115.603240493090.741167503781881
0.71115.7747140202250.783194475716111
0.72115.960748893690.850789709373002
0.73116.1665847650680.941748833489219
0.74116.3967116761771.05105901136177
0.75116.6541595328191.17048667908952
0.76116.9397515231541.2877605972539
0.77117.251494268171.3888301155373
0.78117.5843187035021.45920355160226
0.79117.9303591594251.487272445194
0.8118.2798535087411.46674961023842
0.81118.6225884700451.39865730214243
0.82118.9496564280541.29203339569385
0.83119.2551988213591.16243273015893
0.84119.5378291534811.03009286970623
0.85119.8015492148920.91692846964581
0.86120.0561348435990.844631637125058
0.87120.3170851426530.832316291684845
0.88120.6052315356470.893588806230781
0.89120.9459755100581.03288663925076
0.9121.3679249067061.24589580448298
0.91121.9005747982361.51922065186419
0.92122.5708745392221.82785607315121
0.93123.3992244062052.13355622447319
0.94124.3961089366362.38982848190374
0.95125.5589149292682.55768974360017
0.96126.8618509296592.61321331366655
0.97128.2261563445742.4953396794948
0.98129.4782502620922.01153682815517
0.99130.3678656994771.01335274248887


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')