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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 computationSat, 13 Dec 2014 12:29:30 +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/2014/Dec/13/t14184738181a5gdtuqrrfz92o.htm/, Retrieved Thu, 16 May 2024 15:34:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=267030, Retrieved Thu, 16 May 2024 15:34:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2014-09-17 11:31:44] [94f95ef037a5ad1df99581667eb46a7c]
- R P   [Univariate Data Series] [] [2014-09-18 13:29:36] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD    [Harrell-Davis Quantiles] [] [2014-10-01 16:54:09] [94f95ef037a5ad1df99581667eb46a7c]
-   PD        [Harrell-Davis Quantiles] [] [2014-12-13 12:29:30] [1b1e43390f81e2233427cd22b8161931] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
122.5
123.1
123.1
124.4
124.4
124.6
125.9
125.9
125.9
125.9
125.9
125.9
128.2
129.3
129.3
129.3
129.3
129.4
129.6
129.6
129.6
130
130
129.4
130.2
130.2
130.2
130.3
130.3
130.3
130.7
130.7
130.7
130.9
130.9
130.9
131.2
131.8
131.8
131.8
131.9
132
132.3
132.3
132.4
132.8
132.8
132.8
133
133.5
133.5
134.4
134.4
134.5
134.6
135.6
135.6
135.6
135.6
135.6
135.7
136.2
136.2
136.2
136.2
136.2
136.3
136.3
136.3
136.3
136.3
136.3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267030&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267030&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267030&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01122.6842803062080.523611044371819
0.02122.9744141692930.538285084846919
0.03123.3064947737670.654868464929151
0.04123.6529102605570.766198864828817
0.05124.0016408131870.822564661298657
0.06124.3418722653470.835375227079322
0.07124.6644144499460.826904686053418
0.08124.964553102090.808849283200736
0.09125.2425133540880.789823417319743
0.1125.5027400828850.785870951121332
0.11125.7530533392410.817836690210731
0.12126.0033607520280.897340102769256
0.13126.2635432008611.01695065285275
0.14126.5408900380311.15331359058172
0.15126.8379861938721.2779449291781
0.16127.1518477378981.36534277680755
0.17127.4745719568111.39862021349109
0.18127.7951937681211.37223362906476
0.19128.1020888443341.29056677688762
0.2128.3852133789611.16782765494855
0.21128.6376575382421.02159001349432
0.22128.8562877370390.87004647311384
0.23129.0415383434120.728601326063191
0.24129.196604984690.608035610575282
0.25129.32636235580.51403299511358
0.26129.4362973423770.446930664118047
0.27129.5316556247980.403530186535688
0.28129.6168916930990.377941680293098
0.29129.6954213252250.364119930641762
0.3129.7696176841610.356637231550719
0.31129.840967936010.351680796624919
0.32129.9103085266790.347430635109594
0.33129.9780732166910.342960401388093
0.34130.0445094173420.338543192355937
0.35130.1098391924670.334940862971629
0.36130.1743583427540.333134891640796
0.37130.2384791343810.334034219099895
0.38130.3027294131350.338386976942324
0.39130.3677235403310.34645212936687
0.4130.434119632710.358130065758793
0.41130.5025741423270.373386118789946
0.42130.5737002737150.391640880003008
0.43130.6480325280710.412549823293189
0.44130.7259969176560.435329082346927
0.45130.8078856496490.459404748159843
0.46130.8938361497570.483582770820106
0.47130.9838163567280.507037799864511
0.48131.0776201150470.528718367641186
0.49131.1748771648130.54723909817013
0.5131.2750810999520.562195387888841
0.51131.3776358598880.572908786184327
0.52131.4819176086690.579355534660833
0.53131.5873453786470.582216747781652
0.54131.693451698250.581973617486
0.55131.7999442203320.580294708244219
0.56131.9067510829310.578477439235335
0.57132.0140456970320.578245781474429
0.58132.1222498391210.580733623299547
0.59132.2320163571240.587125174338829
0.6132.3441939366280.598714744998423
0.61132.4597763060790.615792967262213
0.62132.5798376237290.638746073556407
0.63132.7054554613390.667345906858978
0.64132.8376234637170.700614340818604
0.65132.977157555210.737476508657156
0.66133.1246019629640.776300137753556
0.67133.2801433683230.814456323222692
0.68133.443542246350.849640324985665
0.69133.6140895150220.879319363268416
0.7133.7905944143410.901157349204494
0.71133.9714071341770.913029151873288
0.72134.154478164940.913431280105401
0.73134.3374558685220.901149856772462
0.74134.5178231863720.876070406852505
0.75134.6930714183890.838573010323475
0.76134.8609014360570.789980995793243
0.77135.0194303122790.732570895986855
0.78135.1673674102840.669594401454131
0.79135.3041152177490.604979024935535
0.8135.4297546478260.542540594956614
0.81135.5448972757310.485501526641494
0.82135.6504258474020.43558425671227
0.83135.7471877474440.392361030162046
0.84135.8357352868930.353599797581811
0.85135.9162034589970.316282929307548
0.86135.9883726234010.278086688902494
0.87136.051891340010.238155988626831
0.88136.106562735640.197606706591826
0.89136.1525634053950.158716859082724
0.9136.1904922545270.124127780125263
0.91136.2212327375640.0954039935869138
0.92136.2457144470870.0723733446546991
0.93136.2647183625310.053793418124078
0.94136.2788404505330.0380711026487698
0.95136.288619761760.024583461735482
0.96136.2947185972860.0138120578190574
0.97136.2980022685970.00630865168878965
0.98136.2994429375270.00209416496630063
0.99136.2999106151190.000390892218875385

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 122.684280306208 & 0.523611044371819 \tabularnewline
0.02 & 122.974414169293 & 0.538285084846919 \tabularnewline
0.03 & 123.306494773767 & 0.654868464929151 \tabularnewline
0.04 & 123.652910260557 & 0.766198864828817 \tabularnewline
0.05 & 124.001640813187 & 0.822564661298657 \tabularnewline
0.06 & 124.341872265347 & 0.835375227079322 \tabularnewline
0.07 & 124.664414449946 & 0.826904686053418 \tabularnewline
0.08 & 124.96455310209 & 0.808849283200736 \tabularnewline
0.09 & 125.242513354088 & 0.789823417319743 \tabularnewline
0.1 & 125.502740082885 & 0.785870951121332 \tabularnewline
0.11 & 125.753053339241 & 0.817836690210731 \tabularnewline
0.12 & 126.003360752028 & 0.897340102769256 \tabularnewline
0.13 & 126.263543200861 & 1.01695065285275 \tabularnewline
0.14 & 126.540890038031 & 1.15331359058172 \tabularnewline
0.15 & 126.837986193872 & 1.2779449291781 \tabularnewline
0.16 & 127.151847737898 & 1.36534277680755 \tabularnewline
0.17 & 127.474571956811 & 1.39862021349109 \tabularnewline
0.18 & 127.795193768121 & 1.37223362906476 \tabularnewline
0.19 & 128.102088844334 & 1.29056677688762 \tabularnewline
0.2 & 128.385213378961 & 1.16782765494855 \tabularnewline
0.21 & 128.637657538242 & 1.02159001349432 \tabularnewline
0.22 & 128.856287737039 & 0.87004647311384 \tabularnewline
0.23 & 129.041538343412 & 0.728601326063191 \tabularnewline
0.24 & 129.19660498469 & 0.608035610575282 \tabularnewline
0.25 & 129.3263623558 & 0.51403299511358 \tabularnewline
0.26 & 129.436297342377 & 0.446930664118047 \tabularnewline
0.27 & 129.531655624798 & 0.403530186535688 \tabularnewline
0.28 & 129.616891693099 & 0.377941680293098 \tabularnewline
0.29 & 129.695421325225 & 0.364119930641762 \tabularnewline
0.3 & 129.769617684161 & 0.356637231550719 \tabularnewline
0.31 & 129.84096793601 & 0.351680796624919 \tabularnewline
0.32 & 129.910308526679 & 0.347430635109594 \tabularnewline
0.33 & 129.978073216691 & 0.342960401388093 \tabularnewline
0.34 & 130.044509417342 & 0.338543192355937 \tabularnewline
0.35 & 130.109839192467 & 0.334940862971629 \tabularnewline
0.36 & 130.174358342754 & 0.333134891640796 \tabularnewline
0.37 & 130.238479134381 & 0.334034219099895 \tabularnewline
0.38 & 130.302729413135 & 0.338386976942324 \tabularnewline
0.39 & 130.367723540331 & 0.34645212936687 \tabularnewline
0.4 & 130.43411963271 & 0.358130065758793 \tabularnewline
0.41 & 130.502574142327 & 0.373386118789946 \tabularnewline
0.42 & 130.573700273715 & 0.391640880003008 \tabularnewline
0.43 & 130.648032528071 & 0.412549823293189 \tabularnewline
0.44 & 130.725996917656 & 0.435329082346927 \tabularnewline
0.45 & 130.807885649649 & 0.459404748159843 \tabularnewline
0.46 & 130.893836149757 & 0.483582770820106 \tabularnewline
0.47 & 130.983816356728 & 0.507037799864511 \tabularnewline
0.48 & 131.077620115047 & 0.528718367641186 \tabularnewline
0.49 & 131.174877164813 & 0.54723909817013 \tabularnewline
0.5 & 131.275081099952 & 0.562195387888841 \tabularnewline
0.51 & 131.377635859888 & 0.572908786184327 \tabularnewline
0.52 & 131.481917608669 & 0.579355534660833 \tabularnewline
0.53 & 131.587345378647 & 0.582216747781652 \tabularnewline
0.54 & 131.69345169825 & 0.581973617486 \tabularnewline
0.55 & 131.799944220332 & 0.580294708244219 \tabularnewline
0.56 & 131.906751082931 & 0.578477439235335 \tabularnewline
0.57 & 132.014045697032 & 0.578245781474429 \tabularnewline
0.58 & 132.122249839121 & 0.580733623299547 \tabularnewline
0.59 & 132.232016357124 & 0.587125174338829 \tabularnewline
0.6 & 132.344193936628 & 0.598714744998423 \tabularnewline
0.61 & 132.459776306079 & 0.615792967262213 \tabularnewline
0.62 & 132.579837623729 & 0.638746073556407 \tabularnewline
0.63 & 132.705455461339 & 0.667345906858978 \tabularnewline
0.64 & 132.837623463717 & 0.700614340818604 \tabularnewline
0.65 & 132.97715755521 & 0.737476508657156 \tabularnewline
0.66 & 133.124601962964 & 0.776300137753556 \tabularnewline
0.67 & 133.280143368323 & 0.814456323222692 \tabularnewline
0.68 & 133.44354224635 & 0.849640324985665 \tabularnewline
0.69 & 133.614089515022 & 0.879319363268416 \tabularnewline
0.7 & 133.790594414341 & 0.901157349204494 \tabularnewline
0.71 & 133.971407134177 & 0.913029151873288 \tabularnewline
0.72 & 134.15447816494 & 0.913431280105401 \tabularnewline
0.73 & 134.337455868522 & 0.901149856772462 \tabularnewline
0.74 & 134.517823186372 & 0.876070406852505 \tabularnewline
0.75 & 134.693071418389 & 0.838573010323475 \tabularnewline
0.76 & 134.860901436057 & 0.789980995793243 \tabularnewline
0.77 & 135.019430312279 & 0.732570895986855 \tabularnewline
0.78 & 135.167367410284 & 0.669594401454131 \tabularnewline
0.79 & 135.304115217749 & 0.604979024935535 \tabularnewline
0.8 & 135.429754647826 & 0.542540594956614 \tabularnewline
0.81 & 135.544897275731 & 0.485501526641494 \tabularnewline
0.82 & 135.650425847402 & 0.43558425671227 \tabularnewline
0.83 & 135.747187747444 & 0.392361030162046 \tabularnewline
0.84 & 135.835735286893 & 0.353599797581811 \tabularnewline
0.85 & 135.916203458997 & 0.316282929307548 \tabularnewline
0.86 & 135.988372623401 & 0.278086688902494 \tabularnewline
0.87 & 136.05189134001 & 0.238155988626831 \tabularnewline
0.88 & 136.10656273564 & 0.197606706591826 \tabularnewline
0.89 & 136.152563405395 & 0.158716859082724 \tabularnewline
0.9 & 136.190492254527 & 0.124127780125263 \tabularnewline
0.91 & 136.221232737564 & 0.0954039935869138 \tabularnewline
0.92 & 136.245714447087 & 0.0723733446546991 \tabularnewline
0.93 & 136.264718362531 & 0.053793418124078 \tabularnewline
0.94 & 136.278840450533 & 0.0380711026487698 \tabularnewline
0.95 & 136.28861976176 & 0.024583461735482 \tabularnewline
0.96 & 136.294718597286 & 0.0138120578190574 \tabularnewline
0.97 & 136.298002268597 & 0.00630865168878965 \tabularnewline
0.98 & 136.299442937527 & 0.00209416496630063 \tabularnewline
0.99 & 136.299910615119 & 0.000390892218875385 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=267030&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]122.684280306208[/C][C]0.523611044371819[/C][/ROW]
[ROW][C]0.02[/C][C]122.974414169293[/C][C]0.538285084846919[/C][/ROW]
[ROW][C]0.03[/C][C]123.306494773767[/C][C]0.654868464929151[/C][/ROW]
[ROW][C]0.04[/C][C]123.652910260557[/C][C]0.766198864828817[/C][/ROW]
[ROW][C]0.05[/C][C]124.001640813187[/C][C]0.822564661298657[/C][/ROW]
[ROW][C]0.06[/C][C]124.341872265347[/C][C]0.835375227079322[/C][/ROW]
[ROW][C]0.07[/C][C]124.664414449946[/C][C]0.826904686053418[/C][/ROW]
[ROW][C]0.08[/C][C]124.96455310209[/C][C]0.808849283200736[/C][/ROW]
[ROW][C]0.09[/C][C]125.242513354088[/C][C]0.789823417319743[/C][/ROW]
[ROW][C]0.1[/C][C]125.502740082885[/C][C]0.785870951121332[/C][/ROW]
[ROW][C]0.11[/C][C]125.753053339241[/C][C]0.817836690210731[/C][/ROW]
[ROW][C]0.12[/C][C]126.003360752028[/C][C]0.897340102769256[/C][/ROW]
[ROW][C]0.13[/C][C]126.263543200861[/C][C]1.01695065285275[/C][/ROW]
[ROW][C]0.14[/C][C]126.540890038031[/C][C]1.15331359058172[/C][/ROW]
[ROW][C]0.15[/C][C]126.837986193872[/C][C]1.2779449291781[/C][/ROW]
[ROW][C]0.16[/C][C]127.151847737898[/C][C]1.36534277680755[/C][/ROW]
[ROW][C]0.17[/C][C]127.474571956811[/C][C]1.39862021349109[/C][/ROW]
[ROW][C]0.18[/C][C]127.795193768121[/C][C]1.37223362906476[/C][/ROW]
[ROW][C]0.19[/C][C]128.102088844334[/C][C]1.29056677688762[/C][/ROW]
[ROW][C]0.2[/C][C]128.385213378961[/C][C]1.16782765494855[/C][/ROW]
[ROW][C]0.21[/C][C]128.637657538242[/C][C]1.02159001349432[/C][/ROW]
[ROW][C]0.22[/C][C]128.856287737039[/C][C]0.87004647311384[/C][/ROW]
[ROW][C]0.23[/C][C]129.041538343412[/C][C]0.728601326063191[/C][/ROW]
[ROW][C]0.24[/C][C]129.19660498469[/C][C]0.608035610575282[/C][/ROW]
[ROW][C]0.25[/C][C]129.3263623558[/C][C]0.51403299511358[/C][/ROW]
[ROW][C]0.26[/C][C]129.436297342377[/C][C]0.446930664118047[/C][/ROW]
[ROW][C]0.27[/C][C]129.531655624798[/C][C]0.403530186535688[/C][/ROW]
[ROW][C]0.28[/C][C]129.616891693099[/C][C]0.377941680293098[/C][/ROW]
[ROW][C]0.29[/C][C]129.695421325225[/C][C]0.364119930641762[/C][/ROW]
[ROW][C]0.3[/C][C]129.769617684161[/C][C]0.356637231550719[/C][/ROW]
[ROW][C]0.31[/C][C]129.84096793601[/C][C]0.351680796624919[/C][/ROW]
[ROW][C]0.32[/C][C]129.910308526679[/C][C]0.347430635109594[/C][/ROW]
[ROW][C]0.33[/C][C]129.978073216691[/C][C]0.342960401388093[/C][/ROW]
[ROW][C]0.34[/C][C]130.044509417342[/C][C]0.338543192355937[/C][/ROW]
[ROW][C]0.35[/C][C]130.109839192467[/C][C]0.334940862971629[/C][/ROW]
[ROW][C]0.36[/C][C]130.174358342754[/C][C]0.333134891640796[/C][/ROW]
[ROW][C]0.37[/C][C]130.238479134381[/C][C]0.334034219099895[/C][/ROW]
[ROW][C]0.38[/C][C]130.302729413135[/C][C]0.338386976942324[/C][/ROW]
[ROW][C]0.39[/C][C]130.367723540331[/C][C]0.34645212936687[/C][/ROW]
[ROW][C]0.4[/C][C]130.43411963271[/C][C]0.358130065758793[/C][/ROW]
[ROW][C]0.41[/C][C]130.502574142327[/C][C]0.373386118789946[/C][/ROW]
[ROW][C]0.42[/C][C]130.573700273715[/C][C]0.391640880003008[/C][/ROW]
[ROW][C]0.43[/C][C]130.648032528071[/C][C]0.412549823293189[/C][/ROW]
[ROW][C]0.44[/C][C]130.725996917656[/C][C]0.435329082346927[/C][/ROW]
[ROW][C]0.45[/C][C]130.807885649649[/C][C]0.459404748159843[/C][/ROW]
[ROW][C]0.46[/C][C]130.893836149757[/C][C]0.483582770820106[/C][/ROW]
[ROW][C]0.47[/C][C]130.983816356728[/C][C]0.507037799864511[/C][/ROW]
[ROW][C]0.48[/C][C]131.077620115047[/C][C]0.528718367641186[/C][/ROW]
[ROW][C]0.49[/C][C]131.174877164813[/C][C]0.54723909817013[/C][/ROW]
[ROW][C]0.5[/C][C]131.275081099952[/C][C]0.562195387888841[/C][/ROW]
[ROW][C]0.51[/C][C]131.377635859888[/C][C]0.572908786184327[/C][/ROW]
[ROW][C]0.52[/C][C]131.481917608669[/C][C]0.579355534660833[/C][/ROW]
[ROW][C]0.53[/C][C]131.587345378647[/C][C]0.582216747781652[/C][/ROW]
[ROW][C]0.54[/C][C]131.69345169825[/C][C]0.581973617486[/C][/ROW]
[ROW][C]0.55[/C][C]131.799944220332[/C][C]0.580294708244219[/C][/ROW]
[ROW][C]0.56[/C][C]131.906751082931[/C][C]0.578477439235335[/C][/ROW]
[ROW][C]0.57[/C][C]132.014045697032[/C][C]0.578245781474429[/C][/ROW]
[ROW][C]0.58[/C][C]132.122249839121[/C][C]0.580733623299547[/C][/ROW]
[ROW][C]0.59[/C][C]132.232016357124[/C][C]0.587125174338829[/C][/ROW]
[ROW][C]0.6[/C][C]132.344193936628[/C][C]0.598714744998423[/C][/ROW]
[ROW][C]0.61[/C][C]132.459776306079[/C][C]0.615792967262213[/C][/ROW]
[ROW][C]0.62[/C][C]132.579837623729[/C][C]0.638746073556407[/C][/ROW]
[ROW][C]0.63[/C][C]132.705455461339[/C][C]0.667345906858978[/C][/ROW]
[ROW][C]0.64[/C][C]132.837623463717[/C][C]0.700614340818604[/C][/ROW]
[ROW][C]0.65[/C][C]132.97715755521[/C][C]0.737476508657156[/C][/ROW]
[ROW][C]0.66[/C][C]133.124601962964[/C][C]0.776300137753556[/C][/ROW]
[ROW][C]0.67[/C][C]133.280143368323[/C][C]0.814456323222692[/C][/ROW]
[ROW][C]0.68[/C][C]133.44354224635[/C][C]0.849640324985665[/C][/ROW]
[ROW][C]0.69[/C][C]133.614089515022[/C][C]0.879319363268416[/C][/ROW]
[ROW][C]0.7[/C][C]133.790594414341[/C][C]0.901157349204494[/C][/ROW]
[ROW][C]0.71[/C][C]133.971407134177[/C][C]0.913029151873288[/C][/ROW]
[ROW][C]0.72[/C][C]134.15447816494[/C][C]0.913431280105401[/C][/ROW]
[ROW][C]0.73[/C][C]134.337455868522[/C][C]0.901149856772462[/C][/ROW]
[ROW][C]0.74[/C][C]134.517823186372[/C][C]0.876070406852505[/C][/ROW]
[ROW][C]0.75[/C][C]134.693071418389[/C][C]0.838573010323475[/C][/ROW]
[ROW][C]0.76[/C][C]134.860901436057[/C][C]0.789980995793243[/C][/ROW]
[ROW][C]0.77[/C][C]135.019430312279[/C][C]0.732570895986855[/C][/ROW]
[ROW][C]0.78[/C][C]135.167367410284[/C][C]0.669594401454131[/C][/ROW]
[ROW][C]0.79[/C][C]135.304115217749[/C][C]0.604979024935535[/C][/ROW]
[ROW][C]0.8[/C][C]135.429754647826[/C][C]0.542540594956614[/C][/ROW]
[ROW][C]0.81[/C][C]135.544897275731[/C][C]0.485501526641494[/C][/ROW]
[ROW][C]0.82[/C][C]135.650425847402[/C][C]0.43558425671227[/C][/ROW]
[ROW][C]0.83[/C][C]135.747187747444[/C][C]0.392361030162046[/C][/ROW]
[ROW][C]0.84[/C][C]135.835735286893[/C][C]0.353599797581811[/C][/ROW]
[ROW][C]0.85[/C][C]135.916203458997[/C][C]0.316282929307548[/C][/ROW]
[ROW][C]0.86[/C][C]135.988372623401[/C][C]0.278086688902494[/C][/ROW]
[ROW][C]0.87[/C][C]136.05189134001[/C][C]0.238155988626831[/C][/ROW]
[ROW][C]0.88[/C][C]136.10656273564[/C][C]0.197606706591826[/C][/ROW]
[ROW][C]0.89[/C][C]136.152563405395[/C][C]0.158716859082724[/C][/ROW]
[ROW][C]0.9[/C][C]136.190492254527[/C][C]0.124127780125263[/C][/ROW]
[ROW][C]0.91[/C][C]136.221232737564[/C][C]0.0954039935869138[/C][/ROW]
[ROW][C]0.92[/C][C]136.245714447087[/C][C]0.0723733446546991[/C][/ROW]
[ROW][C]0.93[/C][C]136.264718362531[/C][C]0.053793418124078[/C][/ROW]
[ROW][C]0.94[/C][C]136.278840450533[/C][C]0.0380711026487698[/C][/ROW]
[ROW][C]0.95[/C][C]136.28861976176[/C][C]0.024583461735482[/C][/ROW]
[ROW][C]0.96[/C][C]136.294718597286[/C][C]0.0138120578190574[/C][/ROW]
[ROW][C]0.97[/C][C]136.298002268597[/C][C]0.00630865168878965[/C][/ROW]
[ROW][C]0.98[/C][C]136.299442937527[/C][C]0.00209416496630063[/C][/ROW]
[ROW][C]0.99[/C][C]136.299910615119[/C][C]0.000390892218875385[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=267030&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=267030&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
0.01122.6842803062080.523611044371819
0.02122.9744141692930.538285084846919
0.03123.3064947737670.654868464929151
0.04123.6529102605570.766198864828817
0.05124.0016408131870.822564661298657
0.06124.3418722653470.835375227079322
0.07124.6644144499460.826904686053418
0.08124.964553102090.808849283200736
0.09125.2425133540880.789823417319743
0.1125.5027400828850.785870951121332
0.11125.7530533392410.817836690210731
0.12126.0033607520280.897340102769256
0.13126.2635432008611.01695065285275
0.14126.5408900380311.15331359058172
0.15126.8379861938721.2779449291781
0.16127.1518477378981.36534277680755
0.17127.4745719568111.39862021349109
0.18127.7951937681211.37223362906476
0.19128.1020888443341.29056677688762
0.2128.3852133789611.16782765494855
0.21128.6376575382421.02159001349432
0.22128.8562877370390.87004647311384
0.23129.0415383434120.728601326063191
0.24129.196604984690.608035610575282
0.25129.32636235580.51403299511358
0.26129.4362973423770.446930664118047
0.27129.5316556247980.403530186535688
0.28129.6168916930990.377941680293098
0.29129.6954213252250.364119930641762
0.3129.7696176841610.356637231550719
0.31129.840967936010.351680796624919
0.32129.9103085266790.347430635109594
0.33129.9780732166910.342960401388093
0.34130.0445094173420.338543192355937
0.35130.1098391924670.334940862971629
0.36130.1743583427540.333134891640796
0.37130.2384791343810.334034219099895
0.38130.3027294131350.338386976942324
0.39130.3677235403310.34645212936687
0.4130.434119632710.358130065758793
0.41130.5025741423270.373386118789946
0.42130.5737002737150.391640880003008
0.43130.6480325280710.412549823293189
0.44130.7259969176560.435329082346927
0.45130.8078856496490.459404748159843
0.46130.8938361497570.483582770820106
0.47130.9838163567280.507037799864511
0.48131.0776201150470.528718367641186
0.49131.1748771648130.54723909817013
0.5131.2750810999520.562195387888841
0.51131.3776358598880.572908786184327
0.52131.4819176086690.579355534660833
0.53131.5873453786470.582216747781652
0.54131.693451698250.581973617486
0.55131.7999442203320.580294708244219
0.56131.9067510829310.578477439235335
0.57132.0140456970320.578245781474429
0.58132.1222498391210.580733623299547
0.59132.2320163571240.587125174338829
0.6132.3441939366280.598714744998423
0.61132.4597763060790.615792967262213
0.62132.5798376237290.638746073556407
0.63132.7054554613390.667345906858978
0.64132.8376234637170.700614340818604
0.65132.977157555210.737476508657156
0.66133.1246019629640.776300137753556
0.67133.2801433683230.814456323222692
0.68133.443542246350.849640324985665
0.69133.6140895150220.879319363268416
0.7133.7905944143410.901157349204494
0.71133.9714071341770.913029151873288
0.72134.154478164940.913431280105401
0.73134.3374558685220.901149856772462
0.74134.5178231863720.876070406852505
0.75134.6930714183890.838573010323475
0.76134.8609014360570.789980995793243
0.77135.0194303122790.732570895986855
0.78135.1673674102840.669594401454131
0.79135.3041152177490.604979024935535
0.8135.4297546478260.542540594956614
0.81135.5448972757310.485501526641494
0.82135.6504258474020.43558425671227
0.83135.7471877474440.392361030162046
0.84135.8357352868930.353599797581811
0.85135.9162034589970.316282929307548
0.86135.9883726234010.278086688902494
0.87136.051891340010.238155988626831
0.88136.106562735640.197606706591826
0.89136.1525634053950.158716859082724
0.9136.1904922545270.124127780125263
0.91136.2212327375640.0954039935869138
0.92136.2457144470870.0723733446546991
0.93136.2647183625310.053793418124078
0.94136.2788404505330.0380711026487698
0.95136.288619761760.024583461735482
0.96136.2947185972860.0138120578190574
0.97136.2980022685970.00630865168878965
0.98136.2994429375270.00209416496630063
0.99136.2999106151190.000390892218875385


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')