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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 15 Dec 2007 15:22:36 -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/2007/Dec/15/t11977563987vn7drhicd93nd8.htm/, Retrieved Fri, 03 May 2024 01:33:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4108, Retrieved Fri, 03 May 2024 01:33:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact195

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] [] [2007-12-15 22:22:36] [ba3202e2798d2e4685d19d988e9c69df] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85,6
89
97,5
104
99,4
103,2
103
91,2
85,9
80,7
86,7
80,7
81,5
83,4
83,5
89,5
85,8
77,4
67,5
63,7
59,4
62
62,4
58,1
58
56,3
61,4
59,8
54,3
47
50,5
48,1
58,8
70,4
71,9
73,3
83,5
90,1
101,3
98,3
106,7
109,9
111,1
119
120,7
104,5
121,6
129,6
124,5
130,1
142,3
140
143,3
113,4
113,8
120,7
112,9
115,5
121,9
119,3
111
114,2
113,5
94
83,2
82,8
85,8
88,7
105,3
113,1
113,8
109,4

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4108&T=0

[TABLE]
[ROW][C]Summary of compuational 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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4108&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4108&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0147.5814626334231.59181383313275
0.0248.69060893886992.46478833804160
0.0350.14705183929943.17527277448175
0.0451.74201746750023.47436738107051
0.0553.30036513119123.38883301495894
0.0654.70631038128463.0667671572458
0.0755.90928575711742.67006655892419
0.0856.9126904998752.32306025077376
0.0957.75393665367362.10089058485447
0.158.48520101835262.03440633631338
0.1159.15988393365552.12105696585531
0.1259.82535979662272.3407532565174
0.1360.52034912162362.67045502934132
0.1461.27478248047323.08958093269678
0.1562.11047961393413.57721180525719
0.1663.04170236700584.10886903762516
0.1764.07531323703054.65514087932788
0.1865.21071805615015.18243037302301
0.1966.43994799981385.65706774100896
0.267.74818879759846.04819387378515
0.2169.11489286733826.33145767253894
0.2270.51541926223076.49086676176802
0.2371.92301126274096.51985710980564
0.2473.31086857905896.42100989236216
0.2574.65408680389826.20513832300174
0.2675.93128910401525.89034745591436
0.2777.12583546437325.49984309385437
0.2878.22654861141835.0601971579684
0.2979.22794189287824.59925522885923
0.380.12997730853434.14341416638973
0.3180.93742376515173.71638761987089
0.3281.65892307159283.33698736352948
0.3382.30589684481533.0187339975631
0.3482.89143434646932.76911727964437
0.3583.42928651691672.59028783822129
0.3683.93305806418652.48026046649343
0.3784.41564498530212.43370698038061
0.3884.88891886893522.44438217077205
0.3985.36362032897992.5060951621863
0.485.84939761356642.61365783244134
0.4186.35491495254632.76305477009067
0.4286.88795767758212.95064431776130
0.4387.45547485105983.17301446871687
0.4488.06352165617373.42562022240969
0.4588.71708974588533.7030023667295
0.4689.41984093984233.99678574839826
0.4790.1737849028034.29663181693966
0.4890.97896130431084.59019305819211
0.4991.83319788927694.86378103531307
0.592.73201480827835.10326106522927
0.5193.66873084581965.29602615192323
0.5294.6347996296715.43181189666267
0.5395.62036716144275.50472659897495
0.5496.61500227971875.51337845162611
0.5597.60851656260075.46157528539218
0.5698.59176706004255.35805518505943
0.5799.5573295380545.21526949397108
0.58100.4999438218305.04759933947999
0.59101.4166647855044.87000889511172
0.6102.306697478054.69579870122836
0.61103.1709451310364.534364476451
0.62104.0113455018724.39065192177587
0.63104.8301057477714.2640156989163
0.64105.6289624684664.14916898105778
0.65106.4085888074664.03739562615545
0.66107.1682458382763.91874021020339
0.67107.9057361122963.78405606928873
0.68108.6176710971853.62654940433182
0.69109.3000196760343.44358696909149
0.7109.9488683915273.23700386389911
0.71110.5612985290573.01315168999886
0.72111.1362693490582.78292748408947
0.73111.6753874317932.56086048339124
0.74112.1834366758352.36415166247776
0.75112.6685437621412.21127902900364
0.76113.1418678470682.11967672477494
0.77113.6167438539632.10143356018333
0.78114.1072887358102.15860220153179
0.79114.6266036100852.28027482972445
0.8115.1848584793362.44347515763822
0.81115.7876948200732.61806880962255
0.82116.4354699348462.77261678877313
0.83117.1238348449792.88129732030398
0.84117.8459393925022.93091016091123
0.85118.5961896195352.92657086526898
0.86119.3750025482532.89568387131127
0.87120.1935478032132.88726919976608
0.88121.0772320790902.96316560767648
0.89122.0668543893623.17929182222293
0.9123.2169252054043.56214143538692
0.91124.5911548313864.10060967537678
0.92126.2546834617644.75629019057086
0.93128.2606653305345.47090165033431
0.94130.6268109921366.14337457285778
0.95133.3002876827506.57647072281468
0.96136.1222320353026.46369773037667
0.97138.8217023823975.52789931872267
0.98141.0708299494093.82009293972504
0.99142.5964814954401.96664761166253

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 47.581462633423 & 1.59181383313275 \tabularnewline
0.02 & 48.6906089388699 & 2.46478833804160 \tabularnewline
0.03 & 50.1470518392994 & 3.17527277448175 \tabularnewline
0.04 & 51.7420174675002 & 3.47436738107051 \tabularnewline
0.05 & 53.3003651311912 & 3.38883301495894 \tabularnewline
0.06 & 54.7063103812846 & 3.0667671572458 \tabularnewline
0.07 & 55.9092857571174 & 2.67006655892419 \tabularnewline
0.08 & 56.912690499875 & 2.32306025077376 \tabularnewline
0.09 & 57.7539366536736 & 2.10089058485447 \tabularnewline
0.1 & 58.4852010183526 & 2.03440633631338 \tabularnewline
0.11 & 59.1598839336555 & 2.12105696585531 \tabularnewline
0.12 & 59.8253597966227 & 2.3407532565174 \tabularnewline
0.13 & 60.5203491216236 & 2.67045502934132 \tabularnewline
0.14 & 61.2747824804732 & 3.08958093269678 \tabularnewline
0.15 & 62.1104796139341 & 3.57721180525719 \tabularnewline
0.16 & 63.0417023670058 & 4.10886903762516 \tabularnewline
0.17 & 64.0753132370305 & 4.65514087932788 \tabularnewline
0.18 & 65.2107180561501 & 5.18243037302301 \tabularnewline
0.19 & 66.4399479998138 & 5.65706774100896 \tabularnewline
0.2 & 67.7481887975984 & 6.04819387378515 \tabularnewline
0.21 & 69.1148928673382 & 6.33145767253894 \tabularnewline
0.22 & 70.5154192622307 & 6.49086676176802 \tabularnewline
0.23 & 71.9230112627409 & 6.51985710980564 \tabularnewline
0.24 & 73.3108685790589 & 6.42100989236216 \tabularnewline
0.25 & 74.6540868038982 & 6.20513832300174 \tabularnewline
0.26 & 75.9312891040152 & 5.89034745591436 \tabularnewline
0.27 & 77.1258354643732 & 5.49984309385437 \tabularnewline
0.28 & 78.2265486114183 & 5.0601971579684 \tabularnewline
0.29 & 79.2279418928782 & 4.59925522885923 \tabularnewline
0.3 & 80.1299773085343 & 4.14341416638973 \tabularnewline
0.31 & 80.9374237651517 & 3.71638761987089 \tabularnewline
0.32 & 81.6589230715928 & 3.33698736352948 \tabularnewline
0.33 & 82.3058968448153 & 3.0187339975631 \tabularnewline
0.34 & 82.8914343464693 & 2.76911727964437 \tabularnewline
0.35 & 83.4292865169167 & 2.59028783822129 \tabularnewline
0.36 & 83.9330580641865 & 2.48026046649343 \tabularnewline
0.37 & 84.4156449853021 & 2.43370698038061 \tabularnewline
0.38 & 84.8889188689352 & 2.44438217077205 \tabularnewline
0.39 & 85.3636203289799 & 2.5060951621863 \tabularnewline
0.4 & 85.8493976135664 & 2.61365783244134 \tabularnewline
0.41 & 86.3549149525463 & 2.76305477009067 \tabularnewline
0.42 & 86.8879576775821 & 2.95064431776130 \tabularnewline
0.43 & 87.4554748510598 & 3.17301446871687 \tabularnewline
0.44 & 88.0635216561737 & 3.42562022240969 \tabularnewline
0.45 & 88.7170897458853 & 3.7030023667295 \tabularnewline
0.46 & 89.4198409398423 & 3.99678574839826 \tabularnewline
0.47 & 90.173784902803 & 4.29663181693966 \tabularnewline
0.48 & 90.9789613043108 & 4.59019305819211 \tabularnewline
0.49 & 91.8331978892769 & 4.86378103531307 \tabularnewline
0.5 & 92.7320148082783 & 5.10326106522927 \tabularnewline
0.51 & 93.6687308458196 & 5.29602615192323 \tabularnewline
0.52 & 94.634799629671 & 5.43181189666267 \tabularnewline
0.53 & 95.6203671614427 & 5.50472659897495 \tabularnewline
0.54 & 96.6150022797187 & 5.51337845162611 \tabularnewline
0.55 & 97.6085165626007 & 5.46157528539218 \tabularnewline
0.56 & 98.5917670600425 & 5.35805518505943 \tabularnewline
0.57 & 99.557329538054 & 5.21526949397108 \tabularnewline
0.58 & 100.499943821830 & 5.04759933947999 \tabularnewline
0.59 & 101.416664785504 & 4.87000889511172 \tabularnewline
0.6 & 102.30669747805 & 4.69579870122836 \tabularnewline
0.61 & 103.170945131036 & 4.534364476451 \tabularnewline
0.62 & 104.011345501872 & 4.39065192177587 \tabularnewline
0.63 & 104.830105747771 & 4.2640156989163 \tabularnewline
0.64 & 105.628962468466 & 4.14916898105778 \tabularnewline
0.65 & 106.408588807466 & 4.03739562615545 \tabularnewline
0.66 & 107.168245838276 & 3.91874021020339 \tabularnewline
0.67 & 107.905736112296 & 3.78405606928873 \tabularnewline
0.68 & 108.617671097185 & 3.62654940433182 \tabularnewline
0.69 & 109.300019676034 & 3.44358696909149 \tabularnewline
0.7 & 109.948868391527 & 3.23700386389911 \tabularnewline
0.71 & 110.561298529057 & 3.01315168999886 \tabularnewline
0.72 & 111.136269349058 & 2.78292748408947 \tabularnewline
0.73 & 111.675387431793 & 2.56086048339124 \tabularnewline
0.74 & 112.183436675835 & 2.36415166247776 \tabularnewline
0.75 & 112.668543762141 & 2.21127902900364 \tabularnewline
0.76 & 113.141867847068 & 2.11967672477494 \tabularnewline
0.77 & 113.616743853963 & 2.10143356018333 \tabularnewline
0.78 & 114.107288735810 & 2.15860220153179 \tabularnewline
0.79 & 114.626603610085 & 2.28027482972445 \tabularnewline
0.8 & 115.184858479336 & 2.44347515763822 \tabularnewline
0.81 & 115.787694820073 & 2.61806880962255 \tabularnewline
0.82 & 116.435469934846 & 2.77261678877313 \tabularnewline
0.83 & 117.123834844979 & 2.88129732030398 \tabularnewline
0.84 & 117.845939392502 & 2.93091016091123 \tabularnewline
0.85 & 118.596189619535 & 2.92657086526898 \tabularnewline
0.86 & 119.375002548253 & 2.89568387131127 \tabularnewline
0.87 & 120.193547803213 & 2.88726919976608 \tabularnewline
0.88 & 121.077232079090 & 2.96316560767648 \tabularnewline
0.89 & 122.066854389362 & 3.17929182222293 \tabularnewline
0.9 & 123.216925205404 & 3.56214143538692 \tabularnewline
0.91 & 124.591154831386 & 4.10060967537678 \tabularnewline
0.92 & 126.254683461764 & 4.75629019057086 \tabularnewline
0.93 & 128.260665330534 & 5.47090165033431 \tabularnewline
0.94 & 130.626810992136 & 6.14337457285778 \tabularnewline
0.95 & 133.300287682750 & 6.57647072281468 \tabularnewline
0.96 & 136.122232035302 & 6.46369773037667 \tabularnewline
0.97 & 138.821702382397 & 5.52789931872267 \tabularnewline
0.98 & 141.070829949409 & 3.82009293972504 \tabularnewline
0.99 & 142.596481495440 & 1.96664761166253 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4108&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]47.581462633423[/C][C]1.59181383313275[/C][/ROW]
[ROW][C]0.02[/C][C]48.6906089388699[/C][C]2.46478833804160[/C][/ROW]
[ROW][C]0.03[/C][C]50.1470518392994[/C][C]3.17527277448175[/C][/ROW]
[ROW][C]0.04[/C][C]51.7420174675002[/C][C]3.47436738107051[/C][/ROW]
[ROW][C]0.05[/C][C]53.3003651311912[/C][C]3.38883301495894[/C][/ROW]
[ROW][C]0.06[/C][C]54.7063103812846[/C][C]3.0667671572458[/C][/ROW]
[ROW][C]0.07[/C][C]55.9092857571174[/C][C]2.67006655892419[/C][/ROW]
[ROW][C]0.08[/C][C]56.912690499875[/C][C]2.32306025077376[/C][/ROW]
[ROW][C]0.09[/C][C]57.7539366536736[/C][C]2.10089058485447[/C][/ROW]
[ROW][C]0.1[/C][C]58.4852010183526[/C][C]2.03440633631338[/C][/ROW]
[ROW][C]0.11[/C][C]59.1598839336555[/C][C]2.12105696585531[/C][/ROW]
[ROW][C]0.12[/C][C]59.8253597966227[/C][C]2.3407532565174[/C][/ROW]
[ROW][C]0.13[/C][C]60.5203491216236[/C][C]2.67045502934132[/C][/ROW]
[ROW][C]0.14[/C][C]61.2747824804732[/C][C]3.08958093269678[/C][/ROW]
[ROW][C]0.15[/C][C]62.1104796139341[/C][C]3.57721180525719[/C][/ROW]
[ROW][C]0.16[/C][C]63.0417023670058[/C][C]4.10886903762516[/C][/ROW]
[ROW][C]0.17[/C][C]64.0753132370305[/C][C]4.65514087932788[/C][/ROW]
[ROW][C]0.18[/C][C]65.2107180561501[/C][C]5.18243037302301[/C][/ROW]
[ROW][C]0.19[/C][C]66.4399479998138[/C][C]5.65706774100896[/C][/ROW]
[ROW][C]0.2[/C][C]67.7481887975984[/C][C]6.04819387378515[/C][/ROW]
[ROW][C]0.21[/C][C]69.1148928673382[/C][C]6.33145767253894[/C][/ROW]
[ROW][C]0.22[/C][C]70.5154192622307[/C][C]6.49086676176802[/C][/ROW]
[ROW][C]0.23[/C][C]71.9230112627409[/C][C]6.51985710980564[/C][/ROW]
[ROW][C]0.24[/C][C]73.3108685790589[/C][C]6.42100989236216[/C][/ROW]
[ROW][C]0.25[/C][C]74.6540868038982[/C][C]6.20513832300174[/C][/ROW]
[ROW][C]0.26[/C][C]75.9312891040152[/C][C]5.89034745591436[/C][/ROW]
[ROW][C]0.27[/C][C]77.1258354643732[/C][C]5.49984309385437[/C][/ROW]
[ROW][C]0.28[/C][C]78.2265486114183[/C][C]5.0601971579684[/C][/ROW]
[ROW][C]0.29[/C][C]79.2279418928782[/C][C]4.59925522885923[/C][/ROW]
[ROW][C]0.3[/C][C]80.1299773085343[/C][C]4.14341416638973[/C][/ROW]
[ROW][C]0.31[/C][C]80.9374237651517[/C][C]3.71638761987089[/C][/ROW]
[ROW][C]0.32[/C][C]81.6589230715928[/C][C]3.33698736352948[/C][/ROW]
[ROW][C]0.33[/C][C]82.3058968448153[/C][C]3.0187339975631[/C][/ROW]
[ROW][C]0.34[/C][C]82.8914343464693[/C][C]2.76911727964437[/C][/ROW]
[ROW][C]0.35[/C][C]83.4292865169167[/C][C]2.59028783822129[/C][/ROW]
[ROW][C]0.36[/C][C]83.9330580641865[/C][C]2.48026046649343[/C][/ROW]
[ROW][C]0.37[/C][C]84.4156449853021[/C][C]2.43370698038061[/C][/ROW]
[ROW][C]0.38[/C][C]84.8889188689352[/C][C]2.44438217077205[/C][/ROW]
[ROW][C]0.39[/C][C]85.3636203289799[/C][C]2.5060951621863[/C][/ROW]
[ROW][C]0.4[/C][C]85.8493976135664[/C][C]2.61365783244134[/C][/ROW]
[ROW][C]0.41[/C][C]86.3549149525463[/C][C]2.76305477009067[/C][/ROW]
[ROW][C]0.42[/C][C]86.8879576775821[/C][C]2.95064431776130[/C][/ROW]
[ROW][C]0.43[/C][C]87.4554748510598[/C][C]3.17301446871687[/C][/ROW]
[ROW][C]0.44[/C][C]88.0635216561737[/C][C]3.42562022240969[/C][/ROW]
[ROW][C]0.45[/C][C]88.7170897458853[/C][C]3.7030023667295[/C][/ROW]
[ROW][C]0.46[/C][C]89.4198409398423[/C][C]3.99678574839826[/C][/ROW]
[ROW][C]0.47[/C][C]90.173784902803[/C][C]4.29663181693966[/C][/ROW]
[ROW][C]0.48[/C][C]90.9789613043108[/C][C]4.59019305819211[/C][/ROW]
[ROW][C]0.49[/C][C]91.8331978892769[/C][C]4.86378103531307[/C][/ROW]
[ROW][C]0.5[/C][C]92.7320148082783[/C][C]5.10326106522927[/C][/ROW]
[ROW][C]0.51[/C][C]93.6687308458196[/C][C]5.29602615192323[/C][/ROW]
[ROW][C]0.52[/C][C]94.634799629671[/C][C]5.43181189666267[/C][/ROW]
[ROW][C]0.53[/C][C]95.6203671614427[/C][C]5.50472659897495[/C][/ROW]
[ROW][C]0.54[/C][C]96.6150022797187[/C][C]5.51337845162611[/C][/ROW]
[ROW][C]0.55[/C][C]97.6085165626007[/C][C]5.46157528539218[/C][/ROW]
[ROW][C]0.56[/C][C]98.5917670600425[/C][C]5.35805518505943[/C][/ROW]
[ROW][C]0.57[/C][C]99.557329538054[/C][C]5.21526949397108[/C][/ROW]
[ROW][C]0.58[/C][C]100.499943821830[/C][C]5.04759933947999[/C][/ROW]
[ROW][C]0.59[/C][C]101.416664785504[/C][C]4.87000889511172[/C][/ROW]
[ROW][C]0.6[/C][C]102.30669747805[/C][C]4.69579870122836[/C][/ROW]
[ROW][C]0.61[/C][C]103.170945131036[/C][C]4.534364476451[/C][/ROW]
[ROW][C]0.62[/C][C]104.011345501872[/C][C]4.39065192177587[/C][/ROW]
[ROW][C]0.63[/C][C]104.830105747771[/C][C]4.2640156989163[/C][/ROW]
[ROW][C]0.64[/C][C]105.628962468466[/C][C]4.14916898105778[/C][/ROW]
[ROW][C]0.65[/C][C]106.408588807466[/C][C]4.03739562615545[/C][/ROW]
[ROW][C]0.66[/C][C]107.168245838276[/C][C]3.91874021020339[/C][/ROW]
[ROW][C]0.67[/C][C]107.905736112296[/C][C]3.78405606928873[/C][/ROW]
[ROW][C]0.68[/C][C]108.617671097185[/C][C]3.62654940433182[/C][/ROW]
[ROW][C]0.69[/C][C]109.300019676034[/C][C]3.44358696909149[/C][/ROW]
[ROW][C]0.7[/C][C]109.948868391527[/C][C]3.23700386389911[/C][/ROW]
[ROW][C]0.71[/C][C]110.561298529057[/C][C]3.01315168999886[/C][/ROW]
[ROW][C]0.72[/C][C]111.136269349058[/C][C]2.78292748408947[/C][/ROW]
[ROW][C]0.73[/C][C]111.675387431793[/C][C]2.56086048339124[/C][/ROW]
[ROW][C]0.74[/C][C]112.183436675835[/C][C]2.36415166247776[/C][/ROW]
[ROW][C]0.75[/C][C]112.668543762141[/C][C]2.21127902900364[/C][/ROW]
[ROW][C]0.76[/C][C]113.141867847068[/C][C]2.11967672477494[/C][/ROW]
[ROW][C]0.77[/C][C]113.616743853963[/C][C]2.10143356018333[/C][/ROW]
[ROW][C]0.78[/C][C]114.107288735810[/C][C]2.15860220153179[/C][/ROW]
[ROW][C]0.79[/C][C]114.626603610085[/C][C]2.28027482972445[/C][/ROW]
[ROW][C]0.8[/C][C]115.184858479336[/C][C]2.44347515763822[/C][/ROW]
[ROW][C]0.81[/C][C]115.787694820073[/C][C]2.61806880962255[/C][/ROW]
[ROW][C]0.82[/C][C]116.435469934846[/C][C]2.77261678877313[/C][/ROW]
[ROW][C]0.83[/C][C]117.123834844979[/C][C]2.88129732030398[/C][/ROW]
[ROW][C]0.84[/C][C]117.845939392502[/C][C]2.93091016091123[/C][/ROW]
[ROW][C]0.85[/C][C]118.596189619535[/C][C]2.92657086526898[/C][/ROW]
[ROW][C]0.86[/C][C]119.375002548253[/C][C]2.89568387131127[/C][/ROW]
[ROW][C]0.87[/C][C]120.193547803213[/C][C]2.88726919976608[/C][/ROW]
[ROW][C]0.88[/C][C]121.077232079090[/C][C]2.96316560767648[/C][/ROW]
[ROW][C]0.89[/C][C]122.066854389362[/C][C]3.17929182222293[/C][/ROW]
[ROW][C]0.9[/C][C]123.216925205404[/C][C]3.56214143538692[/C][/ROW]
[ROW][C]0.91[/C][C]124.591154831386[/C][C]4.10060967537678[/C][/ROW]
[ROW][C]0.92[/C][C]126.254683461764[/C][C]4.75629019057086[/C][/ROW]
[ROW][C]0.93[/C][C]128.260665330534[/C][C]5.47090165033431[/C][/ROW]
[ROW][C]0.94[/C][C]130.626810992136[/C][C]6.14337457285778[/C][/ROW]
[ROW][C]0.95[/C][C]133.300287682750[/C][C]6.57647072281468[/C][/ROW]
[ROW][C]0.96[/C][C]136.122232035302[/C][C]6.46369773037667[/C][/ROW]
[ROW][C]0.97[/C][C]138.821702382397[/C][C]5.52789931872267[/C][/ROW]
[ROW][C]0.98[/C][C]141.070829949409[/C][C]3.82009293972504[/C][/ROW]
[ROW][C]0.99[/C][C]142.596481495440[/C][C]1.96664761166253[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4108&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4108&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
0.0147.5814626334231.59181383313275
0.0248.69060893886992.46478833804160
0.0350.14705183929943.17527277448175
0.0451.74201746750023.47436738107051
0.0553.30036513119123.38883301495894
0.0654.70631038128463.0667671572458
0.0755.90928575711742.67006655892419
0.0856.9126904998752.32306025077376
0.0957.75393665367362.10089058485447
0.158.48520101835262.03440633631338
0.1159.15988393365552.12105696585531
0.1259.82535979662272.3407532565174
0.1360.52034912162362.67045502934132
0.1461.27478248047323.08958093269678
0.1562.11047961393413.57721180525719
0.1663.04170236700584.10886903762516
0.1764.07531323703054.65514087932788
0.1865.21071805615015.18243037302301
0.1966.43994799981385.65706774100896
0.267.74818879759846.04819387378515
0.2169.11489286733826.33145767253894
0.2270.51541926223076.49086676176802
0.2371.92301126274096.51985710980564
0.2473.31086857905896.42100989236216
0.2574.65408680389826.20513832300174
0.2675.93128910401525.89034745591436
0.2777.12583546437325.49984309385437
0.2878.22654861141835.0601971579684
0.2979.22794189287824.59925522885923
0.380.12997730853434.14341416638973
0.3180.93742376515173.71638761987089
0.3281.65892307159283.33698736352948
0.3382.30589684481533.0187339975631
0.3482.89143434646932.76911727964437
0.3583.42928651691672.59028783822129
0.3683.93305806418652.48026046649343
0.3784.41564498530212.43370698038061
0.3884.88891886893522.44438217077205
0.3985.36362032897992.5060951621863
0.485.84939761356642.61365783244134
0.4186.35491495254632.76305477009067
0.4286.88795767758212.95064431776130
0.4387.45547485105983.17301446871687
0.4488.06352165617373.42562022240969
0.4588.71708974588533.7030023667295
0.4689.41984093984233.99678574839826
0.4790.1737849028034.29663181693966
0.4890.97896130431084.59019305819211
0.4991.83319788927694.86378103531307
0.592.73201480827835.10326106522927
0.5193.66873084581965.29602615192323
0.5294.6347996296715.43181189666267
0.5395.62036716144275.50472659897495
0.5496.61500227971875.51337845162611
0.5597.60851656260075.46157528539218
0.5698.59176706004255.35805518505943
0.5799.5573295380545.21526949397108
0.58100.4999438218305.04759933947999
0.59101.4166647855044.87000889511172
0.6102.306697478054.69579870122836
0.61103.1709451310364.534364476451
0.62104.0113455018724.39065192177587
0.63104.8301057477714.2640156989163
0.64105.6289624684664.14916898105778
0.65106.4085888074664.03739562615545
0.66107.1682458382763.91874021020339
0.67107.9057361122963.78405606928873
0.68108.6176710971853.62654940433182
0.69109.3000196760343.44358696909149
0.7109.9488683915273.23700386389911
0.71110.5612985290573.01315168999886
0.72111.1362693490582.78292748408947
0.73111.6753874317932.56086048339124
0.74112.1834366758352.36415166247776
0.75112.6685437621412.21127902900364
0.76113.1418678470682.11967672477494
0.77113.6167438539632.10143356018333
0.78114.1072887358102.15860220153179
0.79114.6266036100852.28027482972445
0.8115.1848584793362.44347515763822
0.81115.7876948200732.61806880962255
0.82116.4354699348462.77261678877313
0.83117.1238348449792.88129732030398
0.84117.8459393925022.93091016091123
0.85118.5961896195352.92657086526898
0.86119.3750025482532.89568387131127
0.87120.1935478032132.88726919976608
0.88121.0772320790902.96316560767648
0.89122.0668543893623.17929182222293
0.9123.2169252054043.56214143538692
0.91124.5911548313864.10060967537678
0.92126.2546834617644.75629019057086
0.93128.2606653305345.47090165033431
0.94130.6268109921366.14337457285778
0.95133.3002876827506.57647072281468
0.96136.1222320353026.46369773037667
0.97138.8217023823975.52789931872267
0.98141.0708299494093.82009293972504
0.99142.5964814954401.96664761166253


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')