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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 computationTue, 09 Oct 2012 16:57:28 -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/2012/Oct/09/t1349816277rmyzysz98ceq2er.htm/, Retrieved Wed, 01 May 2024 17:27:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174779, Retrieved Wed, 01 May 2024 17:27:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

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] [] [2012-10-09 20:57:28] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1103
1125
1150
1187
1248
1172
1092
5255
5297
5461
5729
5795
5411
5503
5583
5763
5840
5907
5836
5756
5916
6056
6469
6603
6247
6342
6431

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174779&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174779&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174779&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011093.4167903490611.542757054355
0.021095.7182594639113.479571199835
0.031099.0137591889616.8905648167819
0.041103.4622070806722.4454585070635
0.051109.3229289228531.1515597669828
0.061117.0014854846744.4051410596646
0.071127.0870115538663.9116916079339
0.081140.37809850291.5536847051229
0.091157.8941801227129.253889673821
0.11180.8693781488178.817983654153
0.111210.72628139897241.754771231206
0.121249.02835187934319.077285324428
0.131297.41150374264411.114686113962
0.141357.4976396447517.36235888066
0.151430.7952115861636.382658409733
0.161518.59383975141765.780621985026
0.171621.86135834882902.266122750019
0.181741.15213890311041.79465307202
0.191876.535066189241179.78473009328
0.22027.548138062221311.39403487424
0.212193.184478678811431.81215584883
0.222371.911844364611536.57092904723
0.232561.724773764231621.83017354243
0.242760.22571826621684.60614860199
0.252964.729088804321722.94658513072
0.263172.380411548411736.00703114565
0.273380.281848451131724.06741101074
0.283585.615257602241688.45918728205
0.293785.754691298331631.42085938479
0.33978.361620230861555.93154239211
0.314161.458033557691465.4570391296
0.324333.474669604531363.7645752753
0.334493.273752712051254.66047578167
0.344640.147546158141141.82371731294
0.354773.795622228211028.62203356605
0.364894.28489793552917.991087215284
0.375001.99714737283812.365148907175
0.385097.56889245171713.626346872999
0.395181.82835023303623.107232187243
0.45255.73356501585541.630516872555
0.415320.31508045589469.549725331704
0.425376.62561694054406.813357735056
0.435425.69830880438353.051384246593
0.445468.51420417897307.632626003508
0.455505.97899528612269.733830633571
0.465538.9083641451238.428122361434
0.475568.02091224898212.723934855933
0.485593.93738939303191.657310899118
0.495617.18482990508174.313654117487
0.55638.20421889585159.906695594934
0.515657.36041751859147.764597982672
0.525674.95324479189137.36855926031
0.535691.228816708128.331145002351
0.545706.39045753359120.371734042108
0.555720.60870474014113.319004815586
0.565734.03011434811107.07075960775
0.575746.78472895573101.577064424575
0.585758.9921919328696.8418995888838
0.595770.766577285792.8791666191706
0.65782.2200573675289.7321320637599
0.615793.4655537676787.442487101383
0.625804.6185155859686.0629621016341
0.635815.7979499883785.6357549899272
0.645827.1267989751686.2014301310645
0.655838.7317202782187.7818011061167
0.665850.7422955940190.3922610956743
0.675863.2896617349494.0333827906125
0.685876.5045446334298.6788886951818
0.695890.51467611838104.279711122996
0.75905.44159109019110.765852039177
0.715921.39683837637118.024058991846
0.725938.47769031329125.916879841881
0.735956.76250002171134.263626084861
0.745976.30592556115142.84433490648
0.755997.13430935338151.41647871921
0.766019.24156148436159.688069850259
0.776042.58593908261167.361535072855
0.786067.0881346944174.131789421265
0.796092.63108046979179.690698558748
0.86119.06184061556183.761074458901
0.816146.19590228267186.102876378419
0.826173.82408464319186.533673838743
0.836201.72216277784184.947510849116
0.846229.66313306864181.319240065724
0.856257.43180169666175.718421724349
0.866284.84101320874168.314064002908
0.876311.74829758492159.374968839308
0.886338.07095712275149.270668195923
0.896363.79664274885138.473733802527
0.96388.9853962425127.562737354787
0.916413.75825742217117.238517885432
0.926438.26739966433108.32095625498
0.936462.64416569584101.712651117295
0.946486.9252653264698.2497193542426
0.956510.964505413698.4209387754003
0.966534.34769159845102.077950616333
0.976556.34010683478108.368153639555
0.986575.90518644287115.947120008177
0.996591.83302260119123.296579777356

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1093.41679034906 & 11.542757054355 \tabularnewline
0.02 & 1095.71825946391 & 13.479571199835 \tabularnewline
0.03 & 1099.01375918896 & 16.8905648167819 \tabularnewline
0.04 & 1103.46220708067 & 22.4454585070635 \tabularnewline
0.05 & 1109.32292892285 & 31.1515597669828 \tabularnewline
0.06 & 1117.00148548467 & 44.4051410596646 \tabularnewline
0.07 & 1127.08701155386 & 63.9116916079339 \tabularnewline
0.08 & 1140.378098502 & 91.5536847051229 \tabularnewline
0.09 & 1157.8941801227 & 129.253889673821 \tabularnewline
0.1 & 1180.8693781488 & 178.817983654153 \tabularnewline
0.11 & 1210.72628139897 & 241.754771231206 \tabularnewline
0.12 & 1249.02835187934 & 319.077285324428 \tabularnewline
0.13 & 1297.41150374264 & 411.114686113962 \tabularnewline
0.14 & 1357.4976396447 & 517.36235888066 \tabularnewline
0.15 & 1430.7952115861 & 636.382658409733 \tabularnewline
0.16 & 1518.59383975141 & 765.780621985026 \tabularnewline
0.17 & 1621.86135834882 & 902.266122750019 \tabularnewline
0.18 & 1741.1521389031 & 1041.79465307202 \tabularnewline
0.19 & 1876.53506618924 & 1179.78473009328 \tabularnewline
0.2 & 2027.54813806222 & 1311.39403487424 \tabularnewline
0.21 & 2193.18447867881 & 1431.81215584883 \tabularnewline
0.22 & 2371.91184436461 & 1536.57092904723 \tabularnewline
0.23 & 2561.72477376423 & 1621.83017354243 \tabularnewline
0.24 & 2760.2257182662 & 1684.60614860199 \tabularnewline
0.25 & 2964.72908880432 & 1722.94658513072 \tabularnewline
0.26 & 3172.38041154841 & 1736.00703114565 \tabularnewline
0.27 & 3380.28184845113 & 1724.06741101074 \tabularnewline
0.28 & 3585.61525760224 & 1688.45918728205 \tabularnewline
0.29 & 3785.75469129833 & 1631.42085938479 \tabularnewline
0.3 & 3978.36162023086 & 1555.93154239211 \tabularnewline
0.31 & 4161.45803355769 & 1465.4570391296 \tabularnewline
0.32 & 4333.47466960453 & 1363.7645752753 \tabularnewline
0.33 & 4493.27375271205 & 1254.66047578167 \tabularnewline
0.34 & 4640.14754615814 & 1141.82371731294 \tabularnewline
0.35 & 4773.79562222821 & 1028.62203356605 \tabularnewline
0.36 & 4894.28489793552 & 917.991087215284 \tabularnewline
0.37 & 5001.99714737283 & 812.365148907175 \tabularnewline
0.38 & 5097.56889245171 & 713.626346872999 \tabularnewline
0.39 & 5181.82835023303 & 623.107232187243 \tabularnewline
0.4 & 5255.73356501585 & 541.630516872555 \tabularnewline
0.41 & 5320.31508045589 & 469.549725331704 \tabularnewline
0.42 & 5376.62561694054 & 406.813357735056 \tabularnewline
0.43 & 5425.69830880438 & 353.051384246593 \tabularnewline
0.44 & 5468.51420417897 & 307.632626003508 \tabularnewline
0.45 & 5505.97899528612 & 269.733830633571 \tabularnewline
0.46 & 5538.9083641451 & 238.428122361434 \tabularnewline
0.47 & 5568.02091224898 & 212.723934855933 \tabularnewline
0.48 & 5593.93738939303 & 191.657310899118 \tabularnewline
0.49 & 5617.18482990508 & 174.313654117487 \tabularnewline
0.5 & 5638.20421889585 & 159.906695594934 \tabularnewline
0.51 & 5657.36041751859 & 147.764597982672 \tabularnewline
0.52 & 5674.95324479189 & 137.36855926031 \tabularnewline
0.53 & 5691.228816708 & 128.331145002351 \tabularnewline
0.54 & 5706.39045753359 & 120.371734042108 \tabularnewline
0.55 & 5720.60870474014 & 113.319004815586 \tabularnewline
0.56 & 5734.03011434811 & 107.07075960775 \tabularnewline
0.57 & 5746.78472895573 & 101.577064424575 \tabularnewline
0.58 & 5758.99219193286 & 96.8418995888838 \tabularnewline
0.59 & 5770.7665772857 & 92.8791666191706 \tabularnewline
0.6 & 5782.22005736752 & 89.7321320637599 \tabularnewline
0.61 & 5793.46555376767 & 87.442487101383 \tabularnewline
0.62 & 5804.61851558596 & 86.0629621016341 \tabularnewline
0.63 & 5815.79794998837 & 85.6357549899272 \tabularnewline
0.64 & 5827.12679897516 & 86.2014301310645 \tabularnewline
0.65 & 5838.73172027821 & 87.7818011061167 \tabularnewline
0.66 & 5850.74229559401 & 90.3922610956743 \tabularnewline
0.67 & 5863.28966173494 & 94.0333827906125 \tabularnewline
0.68 & 5876.50454463342 & 98.6788886951818 \tabularnewline
0.69 & 5890.51467611838 & 104.279711122996 \tabularnewline
0.7 & 5905.44159109019 & 110.765852039177 \tabularnewline
0.71 & 5921.39683837637 & 118.024058991846 \tabularnewline
0.72 & 5938.47769031329 & 125.916879841881 \tabularnewline
0.73 & 5956.76250002171 & 134.263626084861 \tabularnewline
0.74 & 5976.30592556115 & 142.84433490648 \tabularnewline
0.75 & 5997.13430935338 & 151.41647871921 \tabularnewline
0.76 & 6019.24156148436 & 159.688069850259 \tabularnewline
0.77 & 6042.58593908261 & 167.361535072855 \tabularnewline
0.78 & 6067.0881346944 & 174.131789421265 \tabularnewline
0.79 & 6092.63108046979 & 179.690698558748 \tabularnewline
0.8 & 6119.06184061556 & 183.761074458901 \tabularnewline
0.81 & 6146.19590228267 & 186.102876378419 \tabularnewline
0.82 & 6173.82408464319 & 186.533673838743 \tabularnewline
0.83 & 6201.72216277784 & 184.947510849116 \tabularnewline
0.84 & 6229.66313306864 & 181.319240065724 \tabularnewline
0.85 & 6257.43180169666 & 175.718421724349 \tabularnewline
0.86 & 6284.84101320874 & 168.314064002908 \tabularnewline
0.87 & 6311.74829758492 & 159.374968839308 \tabularnewline
0.88 & 6338.07095712275 & 149.270668195923 \tabularnewline
0.89 & 6363.79664274885 & 138.473733802527 \tabularnewline
0.9 & 6388.9853962425 & 127.562737354787 \tabularnewline
0.91 & 6413.75825742217 & 117.238517885432 \tabularnewline
0.92 & 6438.26739966433 & 108.32095625498 \tabularnewline
0.93 & 6462.64416569584 & 101.712651117295 \tabularnewline
0.94 & 6486.92526532646 & 98.2497193542426 \tabularnewline
0.95 & 6510.9645054136 & 98.4209387754003 \tabularnewline
0.96 & 6534.34769159845 & 102.077950616333 \tabularnewline
0.97 & 6556.34010683478 & 108.368153639555 \tabularnewline
0.98 & 6575.90518644287 & 115.947120008177 \tabularnewline
0.99 & 6591.83302260119 & 123.296579777356 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174779&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]1093.41679034906[/C][C]11.542757054355[/C][/ROW]
[ROW][C]0.02[/C][C]1095.71825946391[/C][C]13.479571199835[/C][/ROW]
[ROW][C]0.03[/C][C]1099.01375918896[/C][C]16.8905648167819[/C][/ROW]
[ROW][C]0.04[/C][C]1103.46220708067[/C][C]22.4454585070635[/C][/ROW]
[ROW][C]0.05[/C][C]1109.32292892285[/C][C]31.1515597669828[/C][/ROW]
[ROW][C]0.06[/C][C]1117.00148548467[/C][C]44.4051410596646[/C][/ROW]
[ROW][C]0.07[/C][C]1127.08701155386[/C][C]63.9116916079339[/C][/ROW]
[ROW][C]0.08[/C][C]1140.378098502[/C][C]91.5536847051229[/C][/ROW]
[ROW][C]0.09[/C][C]1157.8941801227[/C][C]129.253889673821[/C][/ROW]
[ROW][C]0.1[/C][C]1180.8693781488[/C][C]178.817983654153[/C][/ROW]
[ROW][C]0.11[/C][C]1210.72628139897[/C][C]241.754771231206[/C][/ROW]
[ROW][C]0.12[/C][C]1249.02835187934[/C][C]319.077285324428[/C][/ROW]
[ROW][C]0.13[/C][C]1297.41150374264[/C][C]411.114686113962[/C][/ROW]
[ROW][C]0.14[/C][C]1357.4976396447[/C][C]517.36235888066[/C][/ROW]
[ROW][C]0.15[/C][C]1430.7952115861[/C][C]636.382658409733[/C][/ROW]
[ROW][C]0.16[/C][C]1518.59383975141[/C][C]765.780621985026[/C][/ROW]
[ROW][C]0.17[/C][C]1621.86135834882[/C][C]902.266122750019[/C][/ROW]
[ROW][C]0.18[/C][C]1741.1521389031[/C][C]1041.79465307202[/C][/ROW]
[ROW][C]0.19[/C][C]1876.53506618924[/C][C]1179.78473009328[/C][/ROW]
[ROW][C]0.2[/C][C]2027.54813806222[/C][C]1311.39403487424[/C][/ROW]
[ROW][C]0.21[/C][C]2193.18447867881[/C][C]1431.81215584883[/C][/ROW]
[ROW][C]0.22[/C][C]2371.91184436461[/C][C]1536.57092904723[/C][/ROW]
[ROW][C]0.23[/C][C]2561.72477376423[/C][C]1621.83017354243[/C][/ROW]
[ROW][C]0.24[/C][C]2760.2257182662[/C][C]1684.60614860199[/C][/ROW]
[ROW][C]0.25[/C][C]2964.72908880432[/C][C]1722.94658513072[/C][/ROW]
[ROW][C]0.26[/C][C]3172.38041154841[/C][C]1736.00703114565[/C][/ROW]
[ROW][C]0.27[/C][C]3380.28184845113[/C][C]1724.06741101074[/C][/ROW]
[ROW][C]0.28[/C][C]3585.61525760224[/C][C]1688.45918728205[/C][/ROW]
[ROW][C]0.29[/C][C]3785.75469129833[/C][C]1631.42085938479[/C][/ROW]
[ROW][C]0.3[/C][C]3978.36162023086[/C][C]1555.93154239211[/C][/ROW]
[ROW][C]0.31[/C][C]4161.45803355769[/C][C]1465.4570391296[/C][/ROW]
[ROW][C]0.32[/C][C]4333.47466960453[/C][C]1363.7645752753[/C][/ROW]
[ROW][C]0.33[/C][C]4493.27375271205[/C][C]1254.66047578167[/C][/ROW]
[ROW][C]0.34[/C][C]4640.14754615814[/C][C]1141.82371731294[/C][/ROW]
[ROW][C]0.35[/C][C]4773.79562222821[/C][C]1028.62203356605[/C][/ROW]
[ROW][C]0.36[/C][C]4894.28489793552[/C][C]917.991087215284[/C][/ROW]
[ROW][C]0.37[/C][C]5001.99714737283[/C][C]812.365148907175[/C][/ROW]
[ROW][C]0.38[/C][C]5097.56889245171[/C][C]713.626346872999[/C][/ROW]
[ROW][C]0.39[/C][C]5181.82835023303[/C][C]623.107232187243[/C][/ROW]
[ROW][C]0.4[/C][C]5255.73356501585[/C][C]541.630516872555[/C][/ROW]
[ROW][C]0.41[/C][C]5320.31508045589[/C][C]469.549725331704[/C][/ROW]
[ROW][C]0.42[/C][C]5376.62561694054[/C][C]406.813357735056[/C][/ROW]
[ROW][C]0.43[/C][C]5425.69830880438[/C][C]353.051384246593[/C][/ROW]
[ROW][C]0.44[/C][C]5468.51420417897[/C][C]307.632626003508[/C][/ROW]
[ROW][C]0.45[/C][C]5505.97899528612[/C][C]269.733830633571[/C][/ROW]
[ROW][C]0.46[/C][C]5538.9083641451[/C][C]238.428122361434[/C][/ROW]
[ROW][C]0.47[/C][C]5568.02091224898[/C][C]212.723934855933[/C][/ROW]
[ROW][C]0.48[/C][C]5593.93738939303[/C][C]191.657310899118[/C][/ROW]
[ROW][C]0.49[/C][C]5617.18482990508[/C][C]174.313654117487[/C][/ROW]
[ROW][C]0.5[/C][C]5638.20421889585[/C][C]159.906695594934[/C][/ROW]
[ROW][C]0.51[/C][C]5657.36041751859[/C][C]147.764597982672[/C][/ROW]
[ROW][C]0.52[/C][C]5674.95324479189[/C][C]137.36855926031[/C][/ROW]
[ROW][C]0.53[/C][C]5691.228816708[/C][C]128.331145002351[/C][/ROW]
[ROW][C]0.54[/C][C]5706.39045753359[/C][C]120.371734042108[/C][/ROW]
[ROW][C]0.55[/C][C]5720.60870474014[/C][C]113.319004815586[/C][/ROW]
[ROW][C]0.56[/C][C]5734.03011434811[/C][C]107.07075960775[/C][/ROW]
[ROW][C]0.57[/C][C]5746.78472895573[/C][C]101.577064424575[/C][/ROW]
[ROW][C]0.58[/C][C]5758.99219193286[/C][C]96.8418995888838[/C][/ROW]
[ROW][C]0.59[/C][C]5770.7665772857[/C][C]92.8791666191706[/C][/ROW]
[ROW][C]0.6[/C][C]5782.22005736752[/C][C]89.7321320637599[/C][/ROW]
[ROW][C]0.61[/C][C]5793.46555376767[/C][C]87.442487101383[/C][/ROW]
[ROW][C]0.62[/C][C]5804.61851558596[/C][C]86.0629621016341[/C][/ROW]
[ROW][C]0.63[/C][C]5815.79794998837[/C][C]85.6357549899272[/C][/ROW]
[ROW][C]0.64[/C][C]5827.12679897516[/C][C]86.2014301310645[/C][/ROW]
[ROW][C]0.65[/C][C]5838.73172027821[/C][C]87.7818011061167[/C][/ROW]
[ROW][C]0.66[/C][C]5850.74229559401[/C][C]90.3922610956743[/C][/ROW]
[ROW][C]0.67[/C][C]5863.28966173494[/C][C]94.0333827906125[/C][/ROW]
[ROW][C]0.68[/C][C]5876.50454463342[/C][C]98.6788886951818[/C][/ROW]
[ROW][C]0.69[/C][C]5890.51467611838[/C][C]104.279711122996[/C][/ROW]
[ROW][C]0.7[/C][C]5905.44159109019[/C][C]110.765852039177[/C][/ROW]
[ROW][C]0.71[/C][C]5921.39683837637[/C][C]118.024058991846[/C][/ROW]
[ROW][C]0.72[/C][C]5938.47769031329[/C][C]125.916879841881[/C][/ROW]
[ROW][C]0.73[/C][C]5956.76250002171[/C][C]134.263626084861[/C][/ROW]
[ROW][C]0.74[/C][C]5976.30592556115[/C][C]142.84433490648[/C][/ROW]
[ROW][C]0.75[/C][C]5997.13430935338[/C][C]151.41647871921[/C][/ROW]
[ROW][C]0.76[/C][C]6019.24156148436[/C][C]159.688069850259[/C][/ROW]
[ROW][C]0.77[/C][C]6042.58593908261[/C][C]167.361535072855[/C][/ROW]
[ROW][C]0.78[/C][C]6067.0881346944[/C][C]174.131789421265[/C][/ROW]
[ROW][C]0.79[/C][C]6092.63108046979[/C][C]179.690698558748[/C][/ROW]
[ROW][C]0.8[/C][C]6119.06184061556[/C][C]183.761074458901[/C][/ROW]
[ROW][C]0.81[/C][C]6146.19590228267[/C][C]186.102876378419[/C][/ROW]
[ROW][C]0.82[/C][C]6173.82408464319[/C][C]186.533673838743[/C][/ROW]
[ROW][C]0.83[/C][C]6201.72216277784[/C][C]184.947510849116[/C][/ROW]
[ROW][C]0.84[/C][C]6229.66313306864[/C][C]181.319240065724[/C][/ROW]
[ROW][C]0.85[/C][C]6257.43180169666[/C][C]175.718421724349[/C][/ROW]
[ROW][C]0.86[/C][C]6284.84101320874[/C][C]168.314064002908[/C][/ROW]
[ROW][C]0.87[/C][C]6311.74829758492[/C][C]159.374968839308[/C][/ROW]
[ROW][C]0.88[/C][C]6338.07095712275[/C][C]149.270668195923[/C][/ROW]
[ROW][C]0.89[/C][C]6363.79664274885[/C][C]138.473733802527[/C][/ROW]
[ROW][C]0.9[/C][C]6388.9853962425[/C][C]127.562737354787[/C][/ROW]
[ROW][C]0.91[/C][C]6413.75825742217[/C][C]117.238517885432[/C][/ROW]
[ROW][C]0.92[/C][C]6438.26739966433[/C][C]108.32095625498[/C][/ROW]
[ROW][C]0.93[/C][C]6462.64416569584[/C][C]101.712651117295[/C][/ROW]
[ROW][C]0.94[/C][C]6486.92526532646[/C][C]98.2497193542426[/C][/ROW]
[ROW][C]0.95[/C][C]6510.9645054136[/C][C]98.4209387754003[/C][/ROW]
[ROW][C]0.96[/C][C]6534.34769159845[/C][C]102.077950616333[/C][/ROW]
[ROW][C]0.97[/C][C]6556.34010683478[/C][C]108.368153639555[/C][/ROW]
[ROW][C]0.98[/C][C]6575.90518644287[/C][C]115.947120008177[/C][/ROW]
[ROW][C]0.99[/C][C]6591.83302260119[/C][C]123.296579777356[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174779&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174779&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
0.011093.4167903490611.542757054355
0.021095.7182594639113.479571199835
0.031099.0137591889616.8905648167819
0.041103.4622070806722.4454585070635
0.051109.3229289228531.1515597669828
0.061117.0014854846744.4051410596646
0.071127.0870115538663.9116916079339
0.081140.37809850291.5536847051229
0.091157.8941801227129.253889673821
0.11180.8693781488178.817983654153
0.111210.72628139897241.754771231206
0.121249.02835187934319.077285324428
0.131297.41150374264411.114686113962
0.141357.4976396447517.36235888066
0.151430.7952115861636.382658409733
0.161518.59383975141765.780621985026
0.171621.86135834882902.266122750019
0.181741.15213890311041.79465307202
0.191876.535066189241179.78473009328
0.22027.548138062221311.39403487424
0.212193.184478678811431.81215584883
0.222371.911844364611536.57092904723
0.232561.724773764231621.83017354243
0.242760.22571826621684.60614860199
0.252964.729088804321722.94658513072
0.263172.380411548411736.00703114565
0.273380.281848451131724.06741101074
0.283585.615257602241688.45918728205
0.293785.754691298331631.42085938479
0.33978.361620230861555.93154239211
0.314161.458033557691465.4570391296
0.324333.474669604531363.7645752753
0.334493.273752712051254.66047578167
0.344640.147546158141141.82371731294
0.354773.795622228211028.62203356605
0.364894.28489793552917.991087215284
0.375001.99714737283812.365148907175
0.385097.56889245171713.626346872999
0.395181.82835023303623.107232187243
0.45255.73356501585541.630516872555
0.415320.31508045589469.549725331704
0.425376.62561694054406.813357735056
0.435425.69830880438353.051384246593
0.445468.51420417897307.632626003508
0.455505.97899528612269.733830633571
0.465538.9083641451238.428122361434
0.475568.02091224898212.723934855933
0.485593.93738939303191.657310899118
0.495617.18482990508174.313654117487
0.55638.20421889585159.906695594934
0.515657.36041751859147.764597982672
0.525674.95324479189137.36855926031
0.535691.228816708128.331145002351
0.545706.39045753359120.371734042108
0.555720.60870474014113.319004815586
0.565734.03011434811107.07075960775
0.575746.78472895573101.577064424575
0.585758.9921919328696.8418995888838
0.595770.766577285792.8791666191706
0.65782.2200573675289.7321320637599
0.615793.4655537676787.442487101383
0.625804.6185155859686.0629621016341
0.635815.7979499883785.6357549899272
0.645827.1267989751686.2014301310645
0.655838.7317202782187.7818011061167
0.665850.7422955940190.3922610956743
0.675863.2896617349494.0333827906125
0.685876.5045446334298.6788886951818
0.695890.51467611838104.279711122996
0.75905.44159109019110.765852039177
0.715921.39683837637118.024058991846
0.725938.47769031329125.916879841881
0.735956.76250002171134.263626084861
0.745976.30592556115142.84433490648
0.755997.13430935338151.41647871921
0.766019.24156148436159.688069850259
0.776042.58593908261167.361535072855
0.786067.0881346944174.131789421265
0.796092.63108046979179.690698558748
0.86119.06184061556183.761074458901
0.816146.19590228267186.102876378419
0.826173.82408464319186.533673838743
0.836201.72216277784184.947510849116
0.846229.66313306864181.319240065724
0.856257.43180169666175.718421724349
0.866284.84101320874168.314064002908
0.876311.74829758492159.374968839308
0.886338.07095712275149.270668195923
0.896363.79664274885138.473733802527
0.96388.9853962425127.562737354787
0.916413.75825742217117.238517885432
0.926438.26739966433108.32095625498
0.936462.64416569584101.712651117295
0.946486.9252653264698.2497193542426
0.956510.964505413698.4209387754003
0.966534.34769159845102.077950616333
0.976556.34010683478108.368153639555
0.986575.90518644287115.947120008177
0.996591.83302260119123.296579777356


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')