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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, 03 Oct 2013 15:31:42 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/03/t13808287961vyubn3am88migx.htm/, Retrieved Thu, 02 May 2024 08:02:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213007, Retrieved Thu, 02 May 2024 08:02:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

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] [] [2013-10-03 19:31:42] [98a545f74f3e64fcb7a2edd9d5a425e5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.78
105.56
107.95
107.11
107.47
107.06
99.71
99.6
107.19
107.26
113.24
113.52
110.48
111.41
115.5
118.32
118.42
117.5
110.23
109.19
118.41
118.3
116.1
114.11
113.41
114.33
116.61
123.64
123.77
123.39
116.03
114.95
123.4
123.53
114.45
114.26
114.35
112.77
115.31
114.93
116.38
115.07
105
103.43
114.52
115.04
117.16
115
116.22
112.92
116.56
114.32
113.22
111.56
103.87
102.85
112.27
112.76
118.55
122.73
115.44
116.97
119.84
116.37
117.23
115.58
109.82
108.46
116.54
117.49
122.87
127.1

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'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213007&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213007&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213007&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0199.89583656629240.852220566866531
0.02100.5257671288551.57253288618186
0.03101.362425097871.81955696586845
0.04102.2264462661451.69492265693352
0.05103.000517090411.47021819672905
0.06103.6527781414191.31499214068981
0.07104.2033471666061.25581527168084
0.08104.6854446678151.25026058255193
0.09105.1243342182531.25475869781082
0.1105.5328913301911.24430124449328
0.11105.9152250523681.21142495807998
0.12106.271886815621.16218689654352
0.13106.6037928136571.11148492291406
0.14106.9141779781591.07665068517146
0.15107.2088232908871.07201229644633
0.16107.4951254780991.1023758073902
0.17107.7806575522571.16342928351143
0.18108.0717911226471.24412361214774
0.19108.3727584928151.33194785824814
0.2108.6852954634521.41516786478859
0.21109.0088039068481.48546169714365
0.22109.3408562063161.53742698558699
0.23109.6778380055691.56825511313282
0.24110.0155659490421.57748174979107
0.25110.3497862898161.56618920182113
0.26110.6765266313231.53607190220773
0.27110.9923181059621.48950776137332
0.28111.2943241630221.42929894496545
0.29111.5804099212381.3583894270384
0.3111.8491725178551.28040302287992
0.31112.0999379303451.19895477635013
0.32112.3327202858911.11748036910782
0.33112.5481384544691.0392862655583
0.34112.7472906472370.966960325696064
0.35112.9315972381720.902104942502234
0.36113.1026307894490.845218887549103
0.37113.2619568116350.79593749100101
0.38113.4110074501160.752929092758371
0.39113.5510034370120.714673107554115
0.4113.682929330430.679647875164691
0.41113.8075561935950.646847405927684
0.42113.9254972885030.615397003194856
0.43114.037278045120.585488383425682
0.44114.1434021519560.557433047336785
0.45114.2444003460050.532003433331868
0.46114.3408555703960.509656486806131
0.47114.4334053980380.490707021217529
0.48114.5227280173010.475706630634848
0.49114.6095204553710.464241480556992
0.5114.6944769323090.456542617125955
0.51114.778272111020.451915764086175
0.52114.8615499534040.4506654516872
0.53114.9449154296770.452310966172203
0.54115.0289246028030.456687331501203
0.55115.1140690944210.463581936016439
0.56115.2007533618130.472467540973177
0.57115.2892667218030.482616977746466
0.58115.3797555067320.493194008738872
0.59115.4722030407120.503062097908951
0.6115.5664255227520.511121198569237
0.61115.6620901328710.516440480569068
0.62115.7587580063390.51840433171902
0.63115.8559498751840.516942539037021
0.64115.9532271821450.512450286269942
0.65116.0502774467340.505752164693726
0.66116.146990575250.498220566602415
0.67116.2435132487990.491517234110892
0.68116.3402715434850.487427893836375
0.69116.4379569941120.487261054238354
0.7116.5374774190910.492373417581248
0.71116.6398798792550.502973287460836
0.72116.7462583862420.518736278918094
0.73116.8576633576610.539194908989605
0.74116.9750340103560.562896922561924
0.75117.0991796760530.588755029849541
0.76117.2308410296580.615677063038628
0.77117.370864294030.643482838773062
0.78117.520513748010.673171055606312
0.79117.6819206869260.708116550674103
0.8117.8586121445580.754390483878008
0.81118.0559808597970.82122794083721
0.82118.2814674810750.919075586140586
0.83118.5441678260941.05584836951072
0.84118.8536100299371.2318969521521
0.85119.2176211533891.43581013477961
0.86119.6395301957671.64359522655278
0.87120.115363723261.82096407526146
0.88120.6320185560651.92976814079232
0.89121.1674322132971.93782102600363
0.9121.6933666689781.82936894967483
0.91122.1806317935761.6125369836037
0.92122.60577862031.31979388994647
0.93122.9581721541971.00075370452854
0.94123.2475743416550.711195772267484
0.95123.5144258308470.512313688265472
0.96123.8434687961450.509851538644282
0.97124.365416648710.841866594501374
0.98125.1958059222251.55015497536282
0.99126.2561873102422.51036725417616

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 99.8958365662924 & 0.852220566866531 \tabularnewline
0.02 & 100.525767128855 & 1.57253288618186 \tabularnewline
0.03 & 101.36242509787 & 1.81955696586845 \tabularnewline
0.04 & 102.226446266145 & 1.69492265693352 \tabularnewline
0.05 & 103.00051709041 & 1.47021819672905 \tabularnewline
0.06 & 103.652778141419 & 1.31499214068981 \tabularnewline
0.07 & 104.203347166606 & 1.25581527168084 \tabularnewline
0.08 & 104.685444667815 & 1.25026058255193 \tabularnewline
0.09 & 105.124334218253 & 1.25475869781082 \tabularnewline
0.1 & 105.532891330191 & 1.24430124449328 \tabularnewline
0.11 & 105.915225052368 & 1.21142495807998 \tabularnewline
0.12 & 106.27188681562 & 1.16218689654352 \tabularnewline
0.13 & 106.603792813657 & 1.11148492291406 \tabularnewline
0.14 & 106.914177978159 & 1.07665068517146 \tabularnewline
0.15 & 107.208823290887 & 1.07201229644633 \tabularnewline
0.16 & 107.495125478099 & 1.1023758073902 \tabularnewline
0.17 & 107.780657552257 & 1.16342928351143 \tabularnewline
0.18 & 108.071791122647 & 1.24412361214774 \tabularnewline
0.19 & 108.372758492815 & 1.33194785824814 \tabularnewline
0.2 & 108.685295463452 & 1.41516786478859 \tabularnewline
0.21 & 109.008803906848 & 1.48546169714365 \tabularnewline
0.22 & 109.340856206316 & 1.53742698558699 \tabularnewline
0.23 & 109.677838005569 & 1.56825511313282 \tabularnewline
0.24 & 110.015565949042 & 1.57748174979107 \tabularnewline
0.25 & 110.349786289816 & 1.56618920182113 \tabularnewline
0.26 & 110.676526631323 & 1.53607190220773 \tabularnewline
0.27 & 110.992318105962 & 1.48950776137332 \tabularnewline
0.28 & 111.294324163022 & 1.42929894496545 \tabularnewline
0.29 & 111.580409921238 & 1.3583894270384 \tabularnewline
0.3 & 111.849172517855 & 1.28040302287992 \tabularnewline
0.31 & 112.099937930345 & 1.19895477635013 \tabularnewline
0.32 & 112.332720285891 & 1.11748036910782 \tabularnewline
0.33 & 112.548138454469 & 1.0392862655583 \tabularnewline
0.34 & 112.747290647237 & 0.966960325696064 \tabularnewline
0.35 & 112.931597238172 & 0.902104942502234 \tabularnewline
0.36 & 113.102630789449 & 0.845218887549103 \tabularnewline
0.37 & 113.261956811635 & 0.79593749100101 \tabularnewline
0.38 & 113.411007450116 & 0.752929092758371 \tabularnewline
0.39 & 113.551003437012 & 0.714673107554115 \tabularnewline
0.4 & 113.68292933043 & 0.679647875164691 \tabularnewline
0.41 & 113.807556193595 & 0.646847405927684 \tabularnewline
0.42 & 113.925497288503 & 0.615397003194856 \tabularnewline
0.43 & 114.03727804512 & 0.585488383425682 \tabularnewline
0.44 & 114.143402151956 & 0.557433047336785 \tabularnewline
0.45 & 114.244400346005 & 0.532003433331868 \tabularnewline
0.46 & 114.340855570396 & 0.509656486806131 \tabularnewline
0.47 & 114.433405398038 & 0.490707021217529 \tabularnewline
0.48 & 114.522728017301 & 0.475706630634848 \tabularnewline
0.49 & 114.609520455371 & 0.464241480556992 \tabularnewline
0.5 & 114.694476932309 & 0.456542617125955 \tabularnewline
0.51 & 114.77827211102 & 0.451915764086175 \tabularnewline
0.52 & 114.861549953404 & 0.4506654516872 \tabularnewline
0.53 & 114.944915429677 & 0.452310966172203 \tabularnewline
0.54 & 115.028924602803 & 0.456687331501203 \tabularnewline
0.55 & 115.114069094421 & 0.463581936016439 \tabularnewline
0.56 & 115.200753361813 & 0.472467540973177 \tabularnewline
0.57 & 115.289266721803 & 0.482616977746466 \tabularnewline
0.58 & 115.379755506732 & 0.493194008738872 \tabularnewline
0.59 & 115.472203040712 & 0.503062097908951 \tabularnewline
0.6 & 115.566425522752 & 0.511121198569237 \tabularnewline
0.61 & 115.662090132871 & 0.516440480569068 \tabularnewline
0.62 & 115.758758006339 & 0.51840433171902 \tabularnewline
0.63 & 115.855949875184 & 0.516942539037021 \tabularnewline
0.64 & 115.953227182145 & 0.512450286269942 \tabularnewline
0.65 & 116.050277446734 & 0.505752164693726 \tabularnewline
0.66 & 116.14699057525 & 0.498220566602415 \tabularnewline
0.67 & 116.243513248799 & 0.491517234110892 \tabularnewline
0.68 & 116.340271543485 & 0.487427893836375 \tabularnewline
0.69 & 116.437956994112 & 0.487261054238354 \tabularnewline
0.7 & 116.537477419091 & 0.492373417581248 \tabularnewline
0.71 & 116.639879879255 & 0.502973287460836 \tabularnewline
0.72 & 116.746258386242 & 0.518736278918094 \tabularnewline
0.73 & 116.857663357661 & 0.539194908989605 \tabularnewline
0.74 & 116.975034010356 & 0.562896922561924 \tabularnewline
0.75 & 117.099179676053 & 0.588755029849541 \tabularnewline
0.76 & 117.230841029658 & 0.615677063038628 \tabularnewline
0.77 & 117.37086429403 & 0.643482838773062 \tabularnewline
0.78 & 117.52051374801 & 0.673171055606312 \tabularnewline
0.79 & 117.681920686926 & 0.708116550674103 \tabularnewline
0.8 & 117.858612144558 & 0.754390483878008 \tabularnewline
0.81 & 118.055980859797 & 0.82122794083721 \tabularnewline
0.82 & 118.281467481075 & 0.919075586140586 \tabularnewline
0.83 & 118.544167826094 & 1.05584836951072 \tabularnewline
0.84 & 118.853610029937 & 1.2318969521521 \tabularnewline
0.85 & 119.217621153389 & 1.43581013477961 \tabularnewline
0.86 & 119.639530195767 & 1.64359522655278 \tabularnewline
0.87 & 120.11536372326 & 1.82096407526146 \tabularnewline
0.88 & 120.632018556065 & 1.92976814079232 \tabularnewline
0.89 & 121.167432213297 & 1.93782102600363 \tabularnewline
0.9 & 121.693366668978 & 1.82936894967483 \tabularnewline
0.91 & 122.180631793576 & 1.6125369836037 \tabularnewline
0.92 & 122.6057786203 & 1.31979388994647 \tabularnewline
0.93 & 122.958172154197 & 1.00075370452854 \tabularnewline
0.94 & 123.247574341655 & 0.711195772267484 \tabularnewline
0.95 & 123.514425830847 & 0.512313688265472 \tabularnewline
0.96 & 123.843468796145 & 0.509851538644282 \tabularnewline
0.97 & 124.36541664871 & 0.841866594501374 \tabularnewline
0.98 & 125.195805922225 & 1.55015497536282 \tabularnewline
0.99 & 126.256187310242 & 2.51036725417616 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213007&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]99.8958365662924[/C][C]0.852220566866531[/C][/ROW]
[ROW][C]0.02[/C][C]100.525767128855[/C][C]1.57253288618186[/C][/ROW]
[ROW][C]0.03[/C][C]101.36242509787[/C][C]1.81955696586845[/C][/ROW]
[ROW][C]0.04[/C][C]102.226446266145[/C][C]1.69492265693352[/C][/ROW]
[ROW][C]0.05[/C][C]103.00051709041[/C][C]1.47021819672905[/C][/ROW]
[ROW][C]0.06[/C][C]103.652778141419[/C][C]1.31499214068981[/C][/ROW]
[ROW][C]0.07[/C][C]104.203347166606[/C][C]1.25581527168084[/C][/ROW]
[ROW][C]0.08[/C][C]104.685444667815[/C][C]1.25026058255193[/C][/ROW]
[ROW][C]0.09[/C][C]105.124334218253[/C][C]1.25475869781082[/C][/ROW]
[ROW][C]0.1[/C][C]105.532891330191[/C][C]1.24430124449328[/C][/ROW]
[ROW][C]0.11[/C][C]105.915225052368[/C][C]1.21142495807998[/C][/ROW]
[ROW][C]0.12[/C][C]106.27188681562[/C][C]1.16218689654352[/C][/ROW]
[ROW][C]0.13[/C][C]106.603792813657[/C][C]1.11148492291406[/C][/ROW]
[ROW][C]0.14[/C][C]106.914177978159[/C][C]1.07665068517146[/C][/ROW]
[ROW][C]0.15[/C][C]107.208823290887[/C][C]1.07201229644633[/C][/ROW]
[ROW][C]0.16[/C][C]107.495125478099[/C][C]1.1023758073902[/C][/ROW]
[ROW][C]0.17[/C][C]107.780657552257[/C][C]1.16342928351143[/C][/ROW]
[ROW][C]0.18[/C][C]108.071791122647[/C][C]1.24412361214774[/C][/ROW]
[ROW][C]0.19[/C][C]108.372758492815[/C][C]1.33194785824814[/C][/ROW]
[ROW][C]0.2[/C][C]108.685295463452[/C][C]1.41516786478859[/C][/ROW]
[ROW][C]0.21[/C][C]109.008803906848[/C][C]1.48546169714365[/C][/ROW]
[ROW][C]0.22[/C][C]109.340856206316[/C][C]1.53742698558699[/C][/ROW]
[ROW][C]0.23[/C][C]109.677838005569[/C][C]1.56825511313282[/C][/ROW]
[ROW][C]0.24[/C][C]110.015565949042[/C][C]1.57748174979107[/C][/ROW]
[ROW][C]0.25[/C][C]110.349786289816[/C][C]1.56618920182113[/C][/ROW]
[ROW][C]0.26[/C][C]110.676526631323[/C][C]1.53607190220773[/C][/ROW]
[ROW][C]0.27[/C][C]110.992318105962[/C][C]1.48950776137332[/C][/ROW]
[ROW][C]0.28[/C][C]111.294324163022[/C][C]1.42929894496545[/C][/ROW]
[ROW][C]0.29[/C][C]111.580409921238[/C][C]1.3583894270384[/C][/ROW]
[ROW][C]0.3[/C][C]111.849172517855[/C][C]1.28040302287992[/C][/ROW]
[ROW][C]0.31[/C][C]112.099937930345[/C][C]1.19895477635013[/C][/ROW]
[ROW][C]0.32[/C][C]112.332720285891[/C][C]1.11748036910782[/C][/ROW]
[ROW][C]0.33[/C][C]112.548138454469[/C][C]1.0392862655583[/C][/ROW]
[ROW][C]0.34[/C][C]112.747290647237[/C][C]0.966960325696064[/C][/ROW]
[ROW][C]0.35[/C][C]112.931597238172[/C][C]0.902104942502234[/C][/ROW]
[ROW][C]0.36[/C][C]113.102630789449[/C][C]0.845218887549103[/C][/ROW]
[ROW][C]0.37[/C][C]113.261956811635[/C][C]0.79593749100101[/C][/ROW]
[ROW][C]0.38[/C][C]113.411007450116[/C][C]0.752929092758371[/C][/ROW]
[ROW][C]0.39[/C][C]113.551003437012[/C][C]0.714673107554115[/C][/ROW]
[ROW][C]0.4[/C][C]113.68292933043[/C][C]0.679647875164691[/C][/ROW]
[ROW][C]0.41[/C][C]113.807556193595[/C][C]0.646847405927684[/C][/ROW]
[ROW][C]0.42[/C][C]113.925497288503[/C][C]0.615397003194856[/C][/ROW]
[ROW][C]0.43[/C][C]114.03727804512[/C][C]0.585488383425682[/C][/ROW]
[ROW][C]0.44[/C][C]114.143402151956[/C][C]0.557433047336785[/C][/ROW]
[ROW][C]0.45[/C][C]114.244400346005[/C][C]0.532003433331868[/C][/ROW]
[ROW][C]0.46[/C][C]114.340855570396[/C][C]0.509656486806131[/C][/ROW]
[ROW][C]0.47[/C][C]114.433405398038[/C][C]0.490707021217529[/C][/ROW]
[ROW][C]0.48[/C][C]114.522728017301[/C][C]0.475706630634848[/C][/ROW]
[ROW][C]0.49[/C][C]114.609520455371[/C][C]0.464241480556992[/C][/ROW]
[ROW][C]0.5[/C][C]114.694476932309[/C][C]0.456542617125955[/C][/ROW]
[ROW][C]0.51[/C][C]114.77827211102[/C][C]0.451915764086175[/C][/ROW]
[ROW][C]0.52[/C][C]114.861549953404[/C][C]0.4506654516872[/C][/ROW]
[ROW][C]0.53[/C][C]114.944915429677[/C][C]0.452310966172203[/C][/ROW]
[ROW][C]0.54[/C][C]115.028924602803[/C][C]0.456687331501203[/C][/ROW]
[ROW][C]0.55[/C][C]115.114069094421[/C][C]0.463581936016439[/C][/ROW]
[ROW][C]0.56[/C][C]115.200753361813[/C][C]0.472467540973177[/C][/ROW]
[ROW][C]0.57[/C][C]115.289266721803[/C][C]0.482616977746466[/C][/ROW]
[ROW][C]0.58[/C][C]115.379755506732[/C][C]0.493194008738872[/C][/ROW]
[ROW][C]0.59[/C][C]115.472203040712[/C][C]0.503062097908951[/C][/ROW]
[ROW][C]0.6[/C][C]115.566425522752[/C][C]0.511121198569237[/C][/ROW]
[ROW][C]0.61[/C][C]115.662090132871[/C][C]0.516440480569068[/C][/ROW]
[ROW][C]0.62[/C][C]115.758758006339[/C][C]0.51840433171902[/C][/ROW]
[ROW][C]0.63[/C][C]115.855949875184[/C][C]0.516942539037021[/C][/ROW]
[ROW][C]0.64[/C][C]115.953227182145[/C][C]0.512450286269942[/C][/ROW]
[ROW][C]0.65[/C][C]116.050277446734[/C][C]0.505752164693726[/C][/ROW]
[ROW][C]0.66[/C][C]116.14699057525[/C][C]0.498220566602415[/C][/ROW]
[ROW][C]0.67[/C][C]116.243513248799[/C][C]0.491517234110892[/C][/ROW]
[ROW][C]0.68[/C][C]116.340271543485[/C][C]0.487427893836375[/C][/ROW]
[ROW][C]0.69[/C][C]116.437956994112[/C][C]0.487261054238354[/C][/ROW]
[ROW][C]0.7[/C][C]116.537477419091[/C][C]0.492373417581248[/C][/ROW]
[ROW][C]0.71[/C][C]116.639879879255[/C][C]0.502973287460836[/C][/ROW]
[ROW][C]0.72[/C][C]116.746258386242[/C][C]0.518736278918094[/C][/ROW]
[ROW][C]0.73[/C][C]116.857663357661[/C][C]0.539194908989605[/C][/ROW]
[ROW][C]0.74[/C][C]116.975034010356[/C][C]0.562896922561924[/C][/ROW]
[ROW][C]0.75[/C][C]117.099179676053[/C][C]0.588755029849541[/C][/ROW]
[ROW][C]0.76[/C][C]117.230841029658[/C][C]0.615677063038628[/C][/ROW]
[ROW][C]0.77[/C][C]117.37086429403[/C][C]0.643482838773062[/C][/ROW]
[ROW][C]0.78[/C][C]117.52051374801[/C][C]0.673171055606312[/C][/ROW]
[ROW][C]0.79[/C][C]117.681920686926[/C][C]0.708116550674103[/C][/ROW]
[ROW][C]0.8[/C][C]117.858612144558[/C][C]0.754390483878008[/C][/ROW]
[ROW][C]0.81[/C][C]118.055980859797[/C][C]0.82122794083721[/C][/ROW]
[ROW][C]0.82[/C][C]118.281467481075[/C][C]0.919075586140586[/C][/ROW]
[ROW][C]0.83[/C][C]118.544167826094[/C][C]1.05584836951072[/C][/ROW]
[ROW][C]0.84[/C][C]118.853610029937[/C][C]1.2318969521521[/C][/ROW]
[ROW][C]0.85[/C][C]119.217621153389[/C][C]1.43581013477961[/C][/ROW]
[ROW][C]0.86[/C][C]119.639530195767[/C][C]1.64359522655278[/C][/ROW]
[ROW][C]0.87[/C][C]120.11536372326[/C][C]1.82096407526146[/C][/ROW]
[ROW][C]0.88[/C][C]120.632018556065[/C][C]1.92976814079232[/C][/ROW]
[ROW][C]0.89[/C][C]121.167432213297[/C][C]1.93782102600363[/C][/ROW]
[ROW][C]0.9[/C][C]121.693366668978[/C][C]1.82936894967483[/C][/ROW]
[ROW][C]0.91[/C][C]122.180631793576[/C][C]1.6125369836037[/C][/ROW]
[ROW][C]0.92[/C][C]122.6057786203[/C][C]1.31979388994647[/C][/ROW]
[ROW][C]0.93[/C][C]122.958172154197[/C][C]1.00075370452854[/C][/ROW]
[ROW][C]0.94[/C][C]123.247574341655[/C][C]0.711195772267484[/C][/ROW]
[ROW][C]0.95[/C][C]123.514425830847[/C][C]0.512313688265472[/C][/ROW]
[ROW][C]0.96[/C][C]123.843468796145[/C][C]0.509851538644282[/C][/ROW]
[ROW][C]0.97[/C][C]124.36541664871[/C][C]0.841866594501374[/C][/ROW]
[ROW][C]0.98[/C][C]125.195805922225[/C][C]1.55015497536282[/C][/ROW]
[ROW][C]0.99[/C][C]126.256187310242[/C][C]2.51036725417616[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213007&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213007&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
0.0199.89583656629240.852220566866531
0.02100.5257671288551.57253288618186
0.03101.362425097871.81955696586845
0.04102.2264462661451.69492265693352
0.05103.000517090411.47021819672905
0.06103.6527781414191.31499214068981
0.07104.2033471666061.25581527168084
0.08104.6854446678151.25026058255193
0.09105.1243342182531.25475869781082
0.1105.5328913301911.24430124449328
0.11105.9152250523681.21142495807998
0.12106.271886815621.16218689654352
0.13106.6037928136571.11148492291406
0.14106.9141779781591.07665068517146
0.15107.2088232908871.07201229644633
0.16107.4951254780991.1023758073902
0.17107.7806575522571.16342928351143
0.18108.0717911226471.24412361214774
0.19108.3727584928151.33194785824814
0.2108.6852954634521.41516786478859
0.21109.0088039068481.48546169714365
0.22109.3408562063161.53742698558699
0.23109.6778380055691.56825511313282
0.24110.0155659490421.57748174979107
0.25110.3497862898161.56618920182113
0.26110.6765266313231.53607190220773
0.27110.9923181059621.48950776137332
0.28111.2943241630221.42929894496545
0.29111.5804099212381.3583894270384
0.3111.8491725178551.28040302287992
0.31112.0999379303451.19895477635013
0.32112.3327202858911.11748036910782
0.33112.5481384544691.0392862655583
0.34112.7472906472370.966960325696064
0.35112.9315972381720.902104942502234
0.36113.1026307894490.845218887549103
0.37113.2619568116350.79593749100101
0.38113.4110074501160.752929092758371
0.39113.5510034370120.714673107554115
0.4113.682929330430.679647875164691
0.41113.8075561935950.646847405927684
0.42113.9254972885030.615397003194856
0.43114.037278045120.585488383425682
0.44114.1434021519560.557433047336785
0.45114.2444003460050.532003433331868
0.46114.3408555703960.509656486806131
0.47114.4334053980380.490707021217529
0.48114.5227280173010.475706630634848
0.49114.6095204553710.464241480556992
0.5114.6944769323090.456542617125955
0.51114.778272111020.451915764086175
0.52114.8615499534040.4506654516872
0.53114.9449154296770.452310966172203
0.54115.0289246028030.456687331501203
0.55115.1140690944210.463581936016439
0.56115.2007533618130.472467540973177
0.57115.2892667218030.482616977746466
0.58115.3797555067320.493194008738872
0.59115.4722030407120.503062097908951
0.6115.5664255227520.511121198569237
0.61115.6620901328710.516440480569068
0.62115.7587580063390.51840433171902
0.63115.8559498751840.516942539037021
0.64115.9532271821450.512450286269942
0.65116.0502774467340.505752164693726
0.66116.146990575250.498220566602415
0.67116.2435132487990.491517234110892
0.68116.3402715434850.487427893836375
0.69116.4379569941120.487261054238354
0.7116.5374774190910.492373417581248
0.71116.6398798792550.502973287460836
0.72116.7462583862420.518736278918094
0.73116.8576633576610.539194908989605
0.74116.9750340103560.562896922561924
0.75117.0991796760530.588755029849541
0.76117.2308410296580.615677063038628
0.77117.370864294030.643482838773062
0.78117.520513748010.673171055606312
0.79117.6819206869260.708116550674103
0.8117.8586121445580.754390483878008
0.81118.0559808597970.82122794083721
0.82118.2814674810750.919075586140586
0.83118.5441678260941.05584836951072
0.84118.8536100299371.2318969521521
0.85119.2176211533891.43581013477961
0.86119.6395301957671.64359522655278
0.87120.115363723261.82096407526146
0.88120.6320185560651.92976814079232
0.89121.1674322132971.93782102600363
0.9121.6933666689781.82936894967483
0.91122.1806317935761.6125369836037
0.92122.60577862031.31979388994647
0.93122.9581721541971.00075370452854
0.94123.2475743416550.711195772267484
0.95123.5144258308470.512313688265472
0.96123.8434687961450.509851538644282
0.97124.365416648710.841866594501374
0.98125.1958059222251.55015497536282
0.99126.2561873102422.51036725417616


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')