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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 computationTue, 08 Dec 2009 13:52:48 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/08/t1260305624blmewhu5z2qx6po.htm/, Retrieved Sat, 27 Apr 2024 17:02:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64862, Retrieved Sat, 27 Apr 2024 17:02:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsbhschhwpaperHarreldavisquantiles
Estimated Impact186

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [ARIMA Forecasting] [] [2009-12-07 09:54:52] [b98453cac15ba1066b407e146608df68]
- RMPD    [Harrell-Davis Quantiles] [Paper] [2009-12-08 20:52:48] [682632737e024f9e62885141c5f654cd] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
128.6
128.9
129.06
129.23
129.27
129.33
129.35
129.31
129.4
129.49
129.47
129.46
129.45
129.28
129.2
129.25
129.14
129.11
129.02
129.08
128.99
129.11
129.08
129.19
129.23
129.25
129.31
129.33
129.39
129.55
129.43
129.45
129.57
129.76
129.92
130.08
130.41
130.84
131.24
131.49
131.74
132.34
133.5
134.43
136.5
137.41
138.02
138.15
138.24
138.2
138.31
138.65
139.3
139.8
140.52
141.57
141.77
141.66
141.36
141.17

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64862&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64862&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64862&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01128.6656312306610.251722426202165
0.02128.7572952782490.193101454891033
0.03128.8453344258770.139879580584503
0.04128.9151716568380.101157691145723
0.05128.965605888620.0763026444663653
0.06129.0011776734160.0611380837105955
0.07129.0269640710350.0519761710237997
0.08129.0467394143760.0464975791604851
0.09129.0629214425170.0435645043507892
0.1129.0770030683410.0427552369405472
0.11129.0899272195810.0436067555061804
0.12129.1023042555490.045614469085038
0.13129.1145172578620.0482603281399608
0.14129.1267735592590.0509097867081095
0.15129.1391395523630.0531123325027218
0.16129.1515751683730.0545741007000754
0.17129.1639714649840.0551761940202915
0.18129.1761884981820.0547824334654227
0.19129.1880888368250.0537475707833174
0.2129.1995628137830.052062538200183
0.21129.2105435021040.0503122028691457
0.22129.2210115025750.0484396169127091
0.23129.2309913288780.0469661941670239
0.24129.2405421749800.0457709433160969
0.25129.2497460892660.0449937807651821
0.26129.2586961886170.0448254185843868
0.27129.2674867581320.0450209928725192
0.28129.2762061629030.0457041851635769
0.29129.2849326758020.0467397947932741
0.3129.2937327527000.0479810209816329
0.31129.3026610274780.0493183345464902
0.32129.3117613356100.0508933663794015
0.33129.3210683286620.0527037148865485
0.34129.3306096014250.0545729376340044
0.35129.3404086024650.0565131231402779
0.36129.3504888402360.0585073568644386
0.37129.3608799690490.0605911649608494
0.38129.3716262239990.0629004459726217
0.39129.3827973951120.0657836004142606
0.4129.3945021441610.0691180264001604
0.41129.4069030459930.073604216196294
0.42129.4202323542480.0795792579827073
0.43129.4348072117960.0878241346841257
0.44129.4510428915030.0990711180943006
0.45129.4694626836340.113889689128186
0.46129.4907032437040.133118089288233
0.47129.5155145679020.157076313517184
0.48129.5447542545670.186545505737612
0.49129.5793763185220.222020901389744
0.5129.6204155227700.263796949539150
0.51129.6689689366140.311833068996017
0.52129.7261771497050.366345322412752
0.53129.793208154770.427262394767899
0.54129.8712471960190.494423979786655
0.55129.9614956628490.567631626999149
0.56130.0651811762620.647004566773401
0.57130.1835792003940.732665193003024
0.58130.3180437679670.824974296303015
0.59130.4700413971520.924610558838616
0.6130.6411784338901.03216506984167
0.61130.8332086094481.14897332538972
0.62131.0480055308851.27597317166210
0.63131.2874851881701.41309385259865
0.64131.5534672873931.55965872833995
0.65131.8474717862241.71406431276560
0.66132.1704581689971.87217514355815
0.67132.5225285804982.02851811918218
0.68132.9026298181442.1757166814298
0.69133.3083005119182.30518270324881
0.7133.7355154996122.40747500677216
0.71134.1786767568922.47387236160295
0.72134.6307877675662.49707460891943
0.73135.0838262261862.47208859982713
0.74135.5293008834312.39763434899128
0.75135.9589465725012.27666161867833
0.76136.3654826781532.11574909069141
0.77136.7433403943471.92571947064940
0.78137.0892578012831.7199494680218
0.79137.4026515142731.51346542668790
0.8137.6856988190641.32136876501685
0.81137.943101125021.15757087667546
0.82138.1815421444151.03336646454008
0.83138.4088952511260.954972433526564
0.84138.6332673872440.921968264870477
0.85138.8619873574200.926589591422175
0.86139.1006535125010.955456640582278
0.87139.3523522411170.993043961947321
0.88139.6171485721071.02416352805038
0.89139.891935910831.03565874731378
0.9140.1707103124371.01728680928977
0.91140.4452963124020.963288371676801
0.92140.7064861594670.873469955779722
0.93140.9454628548960.753512466939761
0.94141.1552775454160.614713076128301
0.95141.3320649815630.47150882448333
0.96141.4756003487450.338900840558513
0.97141.5887112134280.229547045037227
0.98141.6751331748330.153319759805128
0.99141.7363017979320.116044062825293

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 128.665631230661 & 0.251722426202165 \tabularnewline
0.02 & 128.757295278249 & 0.193101454891033 \tabularnewline
0.03 & 128.845334425877 & 0.139879580584503 \tabularnewline
0.04 & 128.915171656838 & 0.101157691145723 \tabularnewline
0.05 & 128.96560588862 & 0.0763026444663653 \tabularnewline
0.06 & 129.001177673416 & 0.0611380837105955 \tabularnewline
0.07 & 129.026964071035 & 0.0519761710237997 \tabularnewline
0.08 & 129.046739414376 & 0.0464975791604851 \tabularnewline
0.09 & 129.062921442517 & 0.0435645043507892 \tabularnewline
0.1 & 129.077003068341 & 0.0427552369405472 \tabularnewline
0.11 & 129.089927219581 & 0.0436067555061804 \tabularnewline
0.12 & 129.102304255549 & 0.045614469085038 \tabularnewline
0.13 & 129.114517257862 & 0.0482603281399608 \tabularnewline
0.14 & 129.126773559259 & 0.0509097867081095 \tabularnewline
0.15 & 129.139139552363 & 0.0531123325027218 \tabularnewline
0.16 & 129.151575168373 & 0.0545741007000754 \tabularnewline
0.17 & 129.163971464984 & 0.0551761940202915 \tabularnewline
0.18 & 129.176188498182 & 0.0547824334654227 \tabularnewline
0.19 & 129.188088836825 & 0.0537475707833174 \tabularnewline
0.2 & 129.199562813783 & 0.052062538200183 \tabularnewline
0.21 & 129.210543502104 & 0.0503122028691457 \tabularnewline
0.22 & 129.221011502575 & 0.0484396169127091 \tabularnewline
0.23 & 129.230991328878 & 0.0469661941670239 \tabularnewline
0.24 & 129.240542174980 & 0.0457709433160969 \tabularnewline
0.25 & 129.249746089266 & 0.0449937807651821 \tabularnewline
0.26 & 129.258696188617 & 0.0448254185843868 \tabularnewline
0.27 & 129.267486758132 & 0.0450209928725192 \tabularnewline
0.28 & 129.276206162903 & 0.0457041851635769 \tabularnewline
0.29 & 129.284932675802 & 0.0467397947932741 \tabularnewline
0.3 & 129.293732752700 & 0.0479810209816329 \tabularnewline
0.31 & 129.302661027478 & 0.0493183345464902 \tabularnewline
0.32 & 129.311761335610 & 0.0508933663794015 \tabularnewline
0.33 & 129.321068328662 & 0.0527037148865485 \tabularnewline
0.34 & 129.330609601425 & 0.0545729376340044 \tabularnewline
0.35 & 129.340408602465 & 0.0565131231402779 \tabularnewline
0.36 & 129.350488840236 & 0.0585073568644386 \tabularnewline
0.37 & 129.360879969049 & 0.0605911649608494 \tabularnewline
0.38 & 129.371626223999 & 0.0629004459726217 \tabularnewline
0.39 & 129.382797395112 & 0.0657836004142606 \tabularnewline
0.4 & 129.394502144161 & 0.0691180264001604 \tabularnewline
0.41 & 129.406903045993 & 0.073604216196294 \tabularnewline
0.42 & 129.420232354248 & 0.0795792579827073 \tabularnewline
0.43 & 129.434807211796 & 0.0878241346841257 \tabularnewline
0.44 & 129.451042891503 & 0.0990711180943006 \tabularnewline
0.45 & 129.469462683634 & 0.113889689128186 \tabularnewline
0.46 & 129.490703243704 & 0.133118089288233 \tabularnewline
0.47 & 129.515514567902 & 0.157076313517184 \tabularnewline
0.48 & 129.544754254567 & 0.186545505737612 \tabularnewline
0.49 & 129.579376318522 & 0.222020901389744 \tabularnewline
0.5 & 129.620415522770 & 0.263796949539150 \tabularnewline
0.51 & 129.668968936614 & 0.311833068996017 \tabularnewline
0.52 & 129.726177149705 & 0.366345322412752 \tabularnewline
0.53 & 129.79320815477 & 0.427262394767899 \tabularnewline
0.54 & 129.871247196019 & 0.494423979786655 \tabularnewline
0.55 & 129.961495662849 & 0.567631626999149 \tabularnewline
0.56 & 130.065181176262 & 0.647004566773401 \tabularnewline
0.57 & 130.183579200394 & 0.732665193003024 \tabularnewline
0.58 & 130.318043767967 & 0.824974296303015 \tabularnewline
0.59 & 130.470041397152 & 0.924610558838616 \tabularnewline
0.6 & 130.641178433890 & 1.03216506984167 \tabularnewline
0.61 & 130.833208609448 & 1.14897332538972 \tabularnewline
0.62 & 131.048005530885 & 1.27597317166210 \tabularnewline
0.63 & 131.287485188170 & 1.41309385259865 \tabularnewline
0.64 & 131.553467287393 & 1.55965872833995 \tabularnewline
0.65 & 131.847471786224 & 1.71406431276560 \tabularnewline
0.66 & 132.170458168997 & 1.87217514355815 \tabularnewline
0.67 & 132.522528580498 & 2.02851811918218 \tabularnewline
0.68 & 132.902629818144 & 2.1757166814298 \tabularnewline
0.69 & 133.308300511918 & 2.30518270324881 \tabularnewline
0.7 & 133.735515499612 & 2.40747500677216 \tabularnewline
0.71 & 134.178676756892 & 2.47387236160295 \tabularnewline
0.72 & 134.630787767566 & 2.49707460891943 \tabularnewline
0.73 & 135.083826226186 & 2.47208859982713 \tabularnewline
0.74 & 135.529300883431 & 2.39763434899128 \tabularnewline
0.75 & 135.958946572501 & 2.27666161867833 \tabularnewline
0.76 & 136.365482678153 & 2.11574909069141 \tabularnewline
0.77 & 136.743340394347 & 1.92571947064940 \tabularnewline
0.78 & 137.089257801283 & 1.7199494680218 \tabularnewline
0.79 & 137.402651514273 & 1.51346542668790 \tabularnewline
0.8 & 137.685698819064 & 1.32136876501685 \tabularnewline
0.81 & 137.94310112502 & 1.15757087667546 \tabularnewline
0.82 & 138.181542144415 & 1.03336646454008 \tabularnewline
0.83 & 138.408895251126 & 0.954972433526564 \tabularnewline
0.84 & 138.633267387244 & 0.921968264870477 \tabularnewline
0.85 & 138.861987357420 & 0.926589591422175 \tabularnewline
0.86 & 139.100653512501 & 0.955456640582278 \tabularnewline
0.87 & 139.352352241117 & 0.993043961947321 \tabularnewline
0.88 & 139.617148572107 & 1.02416352805038 \tabularnewline
0.89 & 139.89193591083 & 1.03565874731378 \tabularnewline
0.9 & 140.170710312437 & 1.01728680928977 \tabularnewline
0.91 & 140.445296312402 & 0.963288371676801 \tabularnewline
0.92 & 140.706486159467 & 0.873469955779722 \tabularnewline
0.93 & 140.945462854896 & 0.753512466939761 \tabularnewline
0.94 & 141.155277545416 & 0.614713076128301 \tabularnewline
0.95 & 141.332064981563 & 0.47150882448333 \tabularnewline
0.96 & 141.475600348745 & 0.338900840558513 \tabularnewline
0.97 & 141.588711213428 & 0.229547045037227 \tabularnewline
0.98 & 141.675133174833 & 0.153319759805128 \tabularnewline
0.99 & 141.736301797932 & 0.116044062825293 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64862&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]128.665631230661[/C][C]0.251722426202165[/C][/ROW]
[ROW][C]0.02[/C][C]128.757295278249[/C][C]0.193101454891033[/C][/ROW]
[ROW][C]0.03[/C][C]128.845334425877[/C][C]0.139879580584503[/C][/ROW]
[ROW][C]0.04[/C][C]128.915171656838[/C][C]0.101157691145723[/C][/ROW]
[ROW][C]0.05[/C][C]128.96560588862[/C][C]0.0763026444663653[/C][/ROW]
[ROW][C]0.06[/C][C]129.001177673416[/C][C]0.0611380837105955[/C][/ROW]
[ROW][C]0.07[/C][C]129.026964071035[/C][C]0.0519761710237997[/C][/ROW]
[ROW][C]0.08[/C][C]129.046739414376[/C][C]0.0464975791604851[/C][/ROW]
[ROW][C]0.09[/C][C]129.062921442517[/C][C]0.0435645043507892[/C][/ROW]
[ROW][C]0.1[/C][C]129.077003068341[/C][C]0.0427552369405472[/C][/ROW]
[ROW][C]0.11[/C][C]129.089927219581[/C][C]0.0436067555061804[/C][/ROW]
[ROW][C]0.12[/C][C]129.102304255549[/C][C]0.045614469085038[/C][/ROW]
[ROW][C]0.13[/C][C]129.114517257862[/C][C]0.0482603281399608[/C][/ROW]
[ROW][C]0.14[/C][C]129.126773559259[/C][C]0.0509097867081095[/C][/ROW]
[ROW][C]0.15[/C][C]129.139139552363[/C][C]0.0531123325027218[/C][/ROW]
[ROW][C]0.16[/C][C]129.151575168373[/C][C]0.0545741007000754[/C][/ROW]
[ROW][C]0.17[/C][C]129.163971464984[/C][C]0.0551761940202915[/C][/ROW]
[ROW][C]0.18[/C][C]129.176188498182[/C][C]0.0547824334654227[/C][/ROW]
[ROW][C]0.19[/C][C]129.188088836825[/C][C]0.0537475707833174[/C][/ROW]
[ROW][C]0.2[/C][C]129.199562813783[/C][C]0.052062538200183[/C][/ROW]
[ROW][C]0.21[/C][C]129.210543502104[/C][C]0.0503122028691457[/C][/ROW]
[ROW][C]0.22[/C][C]129.221011502575[/C][C]0.0484396169127091[/C][/ROW]
[ROW][C]0.23[/C][C]129.230991328878[/C][C]0.0469661941670239[/C][/ROW]
[ROW][C]0.24[/C][C]129.240542174980[/C][C]0.0457709433160969[/C][/ROW]
[ROW][C]0.25[/C][C]129.249746089266[/C][C]0.0449937807651821[/C][/ROW]
[ROW][C]0.26[/C][C]129.258696188617[/C][C]0.0448254185843868[/C][/ROW]
[ROW][C]0.27[/C][C]129.267486758132[/C][C]0.0450209928725192[/C][/ROW]
[ROW][C]0.28[/C][C]129.276206162903[/C][C]0.0457041851635769[/C][/ROW]
[ROW][C]0.29[/C][C]129.284932675802[/C][C]0.0467397947932741[/C][/ROW]
[ROW][C]0.3[/C][C]129.293732752700[/C][C]0.0479810209816329[/C][/ROW]
[ROW][C]0.31[/C][C]129.302661027478[/C][C]0.0493183345464902[/C][/ROW]
[ROW][C]0.32[/C][C]129.311761335610[/C][C]0.0508933663794015[/C][/ROW]
[ROW][C]0.33[/C][C]129.321068328662[/C][C]0.0527037148865485[/C][/ROW]
[ROW][C]0.34[/C][C]129.330609601425[/C][C]0.0545729376340044[/C][/ROW]
[ROW][C]0.35[/C][C]129.340408602465[/C][C]0.0565131231402779[/C][/ROW]
[ROW][C]0.36[/C][C]129.350488840236[/C][C]0.0585073568644386[/C][/ROW]
[ROW][C]0.37[/C][C]129.360879969049[/C][C]0.0605911649608494[/C][/ROW]
[ROW][C]0.38[/C][C]129.371626223999[/C][C]0.0629004459726217[/C][/ROW]
[ROW][C]0.39[/C][C]129.382797395112[/C][C]0.0657836004142606[/C][/ROW]
[ROW][C]0.4[/C][C]129.394502144161[/C][C]0.0691180264001604[/C][/ROW]
[ROW][C]0.41[/C][C]129.406903045993[/C][C]0.073604216196294[/C][/ROW]
[ROW][C]0.42[/C][C]129.420232354248[/C][C]0.0795792579827073[/C][/ROW]
[ROW][C]0.43[/C][C]129.434807211796[/C][C]0.0878241346841257[/C][/ROW]
[ROW][C]0.44[/C][C]129.451042891503[/C][C]0.0990711180943006[/C][/ROW]
[ROW][C]0.45[/C][C]129.469462683634[/C][C]0.113889689128186[/C][/ROW]
[ROW][C]0.46[/C][C]129.490703243704[/C][C]0.133118089288233[/C][/ROW]
[ROW][C]0.47[/C][C]129.515514567902[/C][C]0.157076313517184[/C][/ROW]
[ROW][C]0.48[/C][C]129.544754254567[/C][C]0.186545505737612[/C][/ROW]
[ROW][C]0.49[/C][C]129.579376318522[/C][C]0.222020901389744[/C][/ROW]
[ROW][C]0.5[/C][C]129.620415522770[/C][C]0.263796949539150[/C][/ROW]
[ROW][C]0.51[/C][C]129.668968936614[/C][C]0.311833068996017[/C][/ROW]
[ROW][C]0.52[/C][C]129.726177149705[/C][C]0.366345322412752[/C][/ROW]
[ROW][C]0.53[/C][C]129.79320815477[/C][C]0.427262394767899[/C][/ROW]
[ROW][C]0.54[/C][C]129.871247196019[/C][C]0.494423979786655[/C][/ROW]
[ROW][C]0.55[/C][C]129.961495662849[/C][C]0.567631626999149[/C][/ROW]
[ROW][C]0.56[/C][C]130.065181176262[/C][C]0.647004566773401[/C][/ROW]
[ROW][C]0.57[/C][C]130.183579200394[/C][C]0.732665193003024[/C][/ROW]
[ROW][C]0.58[/C][C]130.318043767967[/C][C]0.824974296303015[/C][/ROW]
[ROW][C]0.59[/C][C]130.470041397152[/C][C]0.924610558838616[/C][/ROW]
[ROW][C]0.6[/C][C]130.641178433890[/C][C]1.03216506984167[/C][/ROW]
[ROW][C]0.61[/C][C]130.833208609448[/C][C]1.14897332538972[/C][/ROW]
[ROW][C]0.62[/C][C]131.048005530885[/C][C]1.27597317166210[/C][/ROW]
[ROW][C]0.63[/C][C]131.287485188170[/C][C]1.41309385259865[/C][/ROW]
[ROW][C]0.64[/C][C]131.553467287393[/C][C]1.55965872833995[/C][/ROW]
[ROW][C]0.65[/C][C]131.847471786224[/C][C]1.71406431276560[/C][/ROW]
[ROW][C]0.66[/C][C]132.170458168997[/C][C]1.87217514355815[/C][/ROW]
[ROW][C]0.67[/C][C]132.522528580498[/C][C]2.02851811918218[/C][/ROW]
[ROW][C]0.68[/C][C]132.902629818144[/C][C]2.1757166814298[/C][/ROW]
[ROW][C]0.69[/C][C]133.308300511918[/C][C]2.30518270324881[/C][/ROW]
[ROW][C]0.7[/C][C]133.735515499612[/C][C]2.40747500677216[/C][/ROW]
[ROW][C]0.71[/C][C]134.178676756892[/C][C]2.47387236160295[/C][/ROW]
[ROW][C]0.72[/C][C]134.630787767566[/C][C]2.49707460891943[/C][/ROW]
[ROW][C]0.73[/C][C]135.083826226186[/C][C]2.47208859982713[/C][/ROW]
[ROW][C]0.74[/C][C]135.529300883431[/C][C]2.39763434899128[/C][/ROW]
[ROW][C]0.75[/C][C]135.958946572501[/C][C]2.27666161867833[/C][/ROW]
[ROW][C]0.76[/C][C]136.365482678153[/C][C]2.11574909069141[/C][/ROW]
[ROW][C]0.77[/C][C]136.743340394347[/C][C]1.92571947064940[/C][/ROW]
[ROW][C]0.78[/C][C]137.089257801283[/C][C]1.7199494680218[/C][/ROW]
[ROW][C]0.79[/C][C]137.402651514273[/C][C]1.51346542668790[/C][/ROW]
[ROW][C]0.8[/C][C]137.685698819064[/C][C]1.32136876501685[/C][/ROW]
[ROW][C]0.81[/C][C]137.94310112502[/C][C]1.15757087667546[/C][/ROW]
[ROW][C]0.82[/C][C]138.181542144415[/C][C]1.03336646454008[/C][/ROW]
[ROW][C]0.83[/C][C]138.408895251126[/C][C]0.954972433526564[/C][/ROW]
[ROW][C]0.84[/C][C]138.633267387244[/C][C]0.921968264870477[/C][/ROW]
[ROW][C]0.85[/C][C]138.861987357420[/C][C]0.926589591422175[/C][/ROW]
[ROW][C]0.86[/C][C]139.100653512501[/C][C]0.955456640582278[/C][/ROW]
[ROW][C]0.87[/C][C]139.352352241117[/C][C]0.993043961947321[/C][/ROW]
[ROW][C]0.88[/C][C]139.617148572107[/C][C]1.02416352805038[/C][/ROW]
[ROW][C]0.89[/C][C]139.89193591083[/C][C]1.03565874731378[/C][/ROW]
[ROW][C]0.9[/C][C]140.170710312437[/C][C]1.01728680928977[/C][/ROW]
[ROW][C]0.91[/C][C]140.445296312402[/C][C]0.963288371676801[/C][/ROW]
[ROW][C]0.92[/C][C]140.706486159467[/C][C]0.873469955779722[/C][/ROW]
[ROW][C]0.93[/C][C]140.945462854896[/C][C]0.753512466939761[/C][/ROW]
[ROW][C]0.94[/C][C]141.155277545416[/C][C]0.614713076128301[/C][/ROW]
[ROW][C]0.95[/C][C]141.332064981563[/C][C]0.47150882448333[/C][/ROW]
[ROW][C]0.96[/C][C]141.475600348745[/C][C]0.338900840558513[/C][/ROW]
[ROW][C]0.97[/C][C]141.588711213428[/C][C]0.229547045037227[/C][/ROW]
[ROW][C]0.98[/C][C]141.675133174833[/C][C]0.153319759805128[/C][/ROW]
[ROW][C]0.99[/C][C]141.736301797932[/C][C]0.116044062825293[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64862&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64862&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
0.01128.6656312306610.251722426202165
0.02128.7572952782490.193101454891033
0.03128.8453344258770.139879580584503
0.04128.9151716568380.101157691145723
0.05128.965605888620.0763026444663653
0.06129.0011776734160.0611380837105955
0.07129.0269640710350.0519761710237997
0.08129.0467394143760.0464975791604851
0.09129.0629214425170.0435645043507892
0.1129.0770030683410.0427552369405472
0.11129.0899272195810.0436067555061804
0.12129.1023042555490.045614469085038
0.13129.1145172578620.0482603281399608
0.14129.1267735592590.0509097867081095
0.15129.1391395523630.0531123325027218
0.16129.1515751683730.0545741007000754
0.17129.1639714649840.0551761940202915
0.18129.1761884981820.0547824334654227
0.19129.1880888368250.0537475707833174
0.2129.1995628137830.052062538200183
0.21129.2105435021040.0503122028691457
0.22129.2210115025750.0484396169127091
0.23129.2309913288780.0469661941670239
0.24129.2405421749800.0457709433160969
0.25129.2497460892660.0449937807651821
0.26129.2586961886170.0448254185843868
0.27129.2674867581320.0450209928725192
0.28129.2762061629030.0457041851635769
0.29129.2849326758020.0467397947932741
0.3129.2937327527000.0479810209816329
0.31129.3026610274780.0493183345464902
0.32129.3117613356100.0508933663794015
0.33129.3210683286620.0527037148865485
0.34129.3306096014250.0545729376340044
0.35129.3404086024650.0565131231402779
0.36129.3504888402360.0585073568644386
0.37129.3608799690490.0605911649608494
0.38129.3716262239990.0629004459726217
0.39129.3827973951120.0657836004142606
0.4129.3945021441610.0691180264001604
0.41129.4069030459930.073604216196294
0.42129.4202323542480.0795792579827073
0.43129.4348072117960.0878241346841257
0.44129.4510428915030.0990711180943006
0.45129.4694626836340.113889689128186
0.46129.4907032437040.133118089288233
0.47129.5155145679020.157076313517184
0.48129.5447542545670.186545505737612
0.49129.5793763185220.222020901389744
0.5129.6204155227700.263796949539150
0.51129.6689689366140.311833068996017
0.52129.7261771497050.366345322412752
0.53129.793208154770.427262394767899
0.54129.8712471960190.494423979786655
0.55129.9614956628490.567631626999149
0.56130.0651811762620.647004566773401
0.57130.1835792003940.732665193003024
0.58130.3180437679670.824974296303015
0.59130.4700413971520.924610558838616
0.6130.6411784338901.03216506984167
0.61130.8332086094481.14897332538972
0.62131.0480055308851.27597317166210
0.63131.2874851881701.41309385259865
0.64131.5534672873931.55965872833995
0.65131.8474717862241.71406431276560
0.66132.1704581689971.87217514355815
0.67132.5225285804982.02851811918218
0.68132.9026298181442.1757166814298
0.69133.3083005119182.30518270324881
0.7133.7355154996122.40747500677216
0.71134.1786767568922.47387236160295
0.72134.6307877675662.49707460891943
0.73135.0838262261862.47208859982713
0.74135.5293008834312.39763434899128
0.75135.9589465725012.27666161867833
0.76136.3654826781532.11574909069141
0.77136.7433403943471.92571947064940
0.78137.0892578012831.7199494680218
0.79137.4026515142731.51346542668790
0.8137.6856988190641.32136876501685
0.81137.943101125021.15757087667546
0.82138.1815421444151.03336646454008
0.83138.4088952511260.954972433526564
0.84138.6332673872440.921968264870477
0.85138.8619873574200.926589591422175
0.86139.1006535125010.955456640582278
0.87139.3523522411170.993043961947321
0.88139.6171485721071.02416352805038
0.89139.891935910831.03565874731378
0.9140.1707103124371.01728680928977
0.91140.4452963124020.963288371676801
0.92140.7064861594670.873469955779722
0.93140.9454628548960.753512466939761
0.94141.1552775454160.614713076128301
0.95141.3320649815630.47150882448333
0.96141.4756003487450.338900840558513
0.97141.5887112134280.229547045037227
0.98141.6751331748330.153319759805128
0.99141.7363017979320.116044062825293


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')