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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 10 Oct 2015 11:42:06 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/10/t1444473989c1djwpewwgw45zl.htm/, Retrieved Tue, 14 May 2024 01:18:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282138, Retrieved Tue, 14 May 2024 01:18:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

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] [opdracht 4 oefeni...] [2015-10-10 10:42:06] [cd0005da8c1be4acc9acd7984e542112] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
85,13
85,54
85,47
85,78
86,07
86,05
86,32
86,43
86,41
86,38
86,59
86,68
86,87
87,32
87,13
87,42
87,22
87,17
87,52
87,49
87,53
87,93
88,54
88,96
89,3
90,01
90,52
90,64
91,25
91,59
92,09
91,81
92,03
92,15
91,98
92,11
92,28
92,53
91,97
92,05
91,87
91,49
91,48
91,63
91,46
91,61
91,7
91,87
92,21
92,65
92,83
93,02
93,33
93,35
93,45
93,51
93,8
93,94
94,02
94,26
94,71
95,26
95,54
95,69
96,03
96,4
96,55
96,45
96,65
96,84
97,21
97,31
97,91
98,51
98,54
98,52
98,66
98,53
98,71
98,92
98,96
99,25
99,32
99,41
99,36
99,58
99,77
99,77
100,03
100,2
100,24
100,1
100,03
100,18
100,29
100,41
100,6
100,75
100,79
100,44
100,29
100,34
100,46
100,12
100,06
100,28
100,28
100,4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir 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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282138&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282138&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282138&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.29840113079110.25918741407902
0.0285.51951186259690.244962256318656
0.0385.72088557410510.278423192701136
0.0485.90215907874340.28721034601238
0.0586.06366122840980.272639796711503
0.0686.2042839425960.256237344553855
0.0786.32839255791050.253335653179631
0.0886.44393852469340.26860588430272
0.0986.55846306939370.297352994605651
0.186.67662460981550.329261212734169
0.1186.79980147766510.35663811146481
0.1286.92742908983670.37866773444616
0.1387.05917630060260.402631679395867
0.1487.19684195380570.440731643070882
0.1587.34515656581420.505491683765574
0.1687.5112532467320.60337458221685
0.1787.70308588864090.732235227699439
0.1887.92736128153490.881721577833169
0.1988.18761393693321.03584346750568
0.288.48294238712941.17571841596659
0.2188.80770332981411.28404040740456
0.2289.15219012583671.34774583699687
0.2389.50407724465241.35963220920221
0.2489.85025520014391.32013135652239
0.2590.17864152116661.23622963446333
0.2690.4796214925181.11913498052738
0.2790.74690787038010.982822074117687
0.2890.97776375465670.841065337002463
0.2991.17266821215250.705429419101109
0.391.33459615064450.584661875494251
0.3191.46812289651780.483959591378925
0.3291.57855227101410.404896664642052
0.3391.67121631810530.346593983304263
0.3491.7510231752780.306937692322733
0.3591.82225690681650.283503666714511
0.3691.88857645066140.273492400983285
0.3791.95313019903540.275874723541303
0.3892.01869979706380.28973016548767
0.3992.08780613061070.314049975927722
0.492.16274276526360.348530720587163
0.4192.24553695448440.391236628445664
0.4292.33786679668970.440588973031582
0.4392.44097890758040.493874617083365
0.4492.55565112843620.549039538241401
0.4592.6822300012730.603977653258094
0.4692.82074733348050.657647714900437
0.4792.97109148425470.710126210867523
0.4893.13318586573110.762233497296588
0.4993.30711757578870.815089211129772
0.593.49316769301660.870227930043944
0.5193.69172085657530.927923371988072
0.5293.9030687764760.986910364501346
0.5394.1271592735571.04478649759508
0.5494.36336696898921.09812891505725
0.5594.61036407451371.14268450127333
0.5694.86614635863921.17570768710289
0.5795.12822501412561.19481224357212
0.5895.39394230979431.20038160595364
0.5995.66082459178311.1942163217744
0.695.92686670661291.17956010308319
0.6196.1906570016661.16036000481536
0.6296.45130042558571.13912015729839
0.6396.70816529404641.11640928329676
0.6496.96054421056831.09170397439219
0.6597.20735678821361.06160410145109
0.6697.44701423659771.02357519288799
0.6797.67751241095690.975209582667261
0.6897.89673796093270.91647956860236
0.6998.10289251459470.849868292193501
0.798.29489431050860.779391332553298
0.7198.47262414013740.710308323980628
0.7298.63693916502340.647350266621179
0.7398.78945900541380.593608238324924
0.7498.93219897965210.550118767251875
0.7599.06715880914740.515717344751994
0.7699.19596536474740.487881685141837
0.7799.3196304488380.463654252066653
0.7899.43844435768370.439875954294845
0.7999.55200134313210.41401944803251
0.899.65934481099880.384257578920181
0.8199.75921414009330.349828512301766
0.8299.85035717127820.31127571997477
0.8399.93184374202920.270411561088176
0.84100.003296079190.229589553202252
0.85100.0649670133410.191516317893009
0.86100.1176554211680.158022848177215
0.87100.1625258906550.12987174746956
0.88100.2009456308210.107191684797635
0.89100.2344203142270.08960075417006
0.9100.2646053668260.0773067203172002
0.91100.293272218010.0704818874082492
0.92100.322154366690.0682993056019609
0.93100.3528572851180.068889100930734
0.94100.3873162403310.0710501182589955
0.95100.4290936481580.0779074292168461
0.96100.4844616233670.0957267031356171
0.97100.5599793945520.121630747726286
0.98100.6533312908310.130961988193694
0.99100.7421833328250.0920657270907729

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.2984011307911 & 0.25918741407902 \tabularnewline
0.02 & 85.5195118625969 & 0.244962256318656 \tabularnewline
0.03 & 85.7208855741051 & 0.278423192701136 \tabularnewline
0.04 & 85.9021590787434 & 0.28721034601238 \tabularnewline
0.05 & 86.0636612284098 & 0.272639796711503 \tabularnewline
0.06 & 86.204283942596 & 0.256237344553855 \tabularnewline
0.07 & 86.3283925579105 & 0.253335653179631 \tabularnewline
0.08 & 86.4439385246934 & 0.26860588430272 \tabularnewline
0.09 & 86.5584630693937 & 0.297352994605651 \tabularnewline
0.1 & 86.6766246098155 & 0.329261212734169 \tabularnewline
0.11 & 86.7998014776651 & 0.35663811146481 \tabularnewline
0.12 & 86.9274290898367 & 0.37866773444616 \tabularnewline
0.13 & 87.0591763006026 & 0.402631679395867 \tabularnewline
0.14 & 87.1968419538057 & 0.440731643070882 \tabularnewline
0.15 & 87.3451565658142 & 0.505491683765574 \tabularnewline
0.16 & 87.511253246732 & 0.60337458221685 \tabularnewline
0.17 & 87.7030858886409 & 0.732235227699439 \tabularnewline
0.18 & 87.9273612815349 & 0.881721577833169 \tabularnewline
0.19 & 88.1876139369332 & 1.03584346750568 \tabularnewline
0.2 & 88.4829423871294 & 1.17571841596659 \tabularnewline
0.21 & 88.8077033298141 & 1.28404040740456 \tabularnewline
0.22 & 89.1521901258367 & 1.34774583699687 \tabularnewline
0.23 & 89.5040772446524 & 1.35963220920221 \tabularnewline
0.24 & 89.8502552001439 & 1.32013135652239 \tabularnewline
0.25 & 90.1786415211666 & 1.23622963446333 \tabularnewline
0.26 & 90.479621492518 & 1.11913498052738 \tabularnewline
0.27 & 90.7469078703801 & 0.982822074117687 \tabularnewline
0.28 & 90.9777637546567 & 0.841065337002463 \tabularnewline
0.29 & 91.1726682121525 & 0.705429419101109 \tabularnewline
0.3 & 91.3345961506445 & 0.584661875494251 \tabularnewline
0.31 & 91.4681228965178 & 0.483959591378925 \tabularnewline
0.32 & 91.5785522710141 & 0.404896664642052 \tabularnewline
0.33 & 91.6712163181053 & 0.346593983304263 \tabularnewline
0.34 & 91.751023175278 & 0.306937692322733 \tabularnewline
0.35 & 91.8222569068165 & 0.283503666714511 \tabularnewline
0.36 & 91.8885764506614 & 0.273492400983285 \tabularnewline
0.37 & 91.9531301990354 & 0.275874723541303 \tabularnewline
0.38 & 92.0186997970638 & 0.28973016548767 \tabularnewline
0.39 & 92.0878061306107 & 0.314049975927722 \tabularnewline
0.4 & 92.1627427652636 & 0.348530720587163 \tabularnewline
0.41 & 92.2455369544844 & 0.391236628445664 \tabularnewline
0.42 & 92.3378667966897 & 0.440588973031582 \tabularnewline
0.43 & 92.4409789075804 & 0.493874617083365 \tabularnewline
0.44 & 92.5556511284362 & 0.549039538241401 \tabularnewline
0.45 & 92.682230001273 & 0.603977653258094 \tabularnewline
0.46 & 92.8207473334805 & 0.657647714900437 \tabularnewline
0.47 & 92.9710914842547 & 0.710126210867523 \tabularnewline
0.48 & 93.1331858657311 & 0.762233497296588 \tabularnewline
0.49 & 93.3071175757887 & 0.815089211129772 \tabularnewline
0.5 & 93.4931676930166 & 0.870227930043944 \tabularnewline
0.51 & 93.6917208565753 & 0.927923371988072 \tabularnewline
0.52 & 93.903068776476 & 0.986910364501346 \tabularnewline
0.53 & 94.127159273557 & 1.04478649759508 \tabularnewline
0.54 & 94.3633669689892 & 1.09812891505725 \tabularnewline
0.55 & 94.6103640745137 & 1.14268450127333 \tabularnewline
0.56 & 94.8661463586392 & 1.17570768710289 \tabularnewline
0.57 & 95.1282250141256 & 1.19481224357212 \tabularnewline
0.58 & 95.3939423097943 & 1.20038160595364 \tabularnewline
0.59 & 95.6608245917831 & 1.1942163217744 \tabularnewline
0.6 & 95.9268667066129 & 1.17956010308319 \tabularnewline
0.61 & 96.190657001666 & 1.16036000481536 \tabularnewline
0.62 & 96.4513004255857 & 1.13912015729839 \tabularnewline
0.63 & 96.7081652940464 & 1.11640928329676 \tabularnewline
0.64 & 96.9605442105683 & 1.09170397439219 \tabularnewline
0.65 & 97.2073567882136 & 1.06160410145109 \tabularnewline
0.66 & 97.4470142365977 & 1.02357519288799 \tabularnewline
0.67 & 97.6775124109569 & 0.975209582667261 \tabularnewline
0.68 & 97.8967379609327 & 0.91647956860236 \tabularnewline
0.69 & 98.1028925145947 & 0.849868292193501 \tabularnewline
0.7 & 98.2948943105086 & 0.779391332553298 \tabularnewline
0.71 & 98.4726241401374 & 0.710308323980628 \tabularnewline
0.72 & 98.6369391650234 & 0.647350266621179 \tabularnewline
0.73 & 98.7894590054138 & 0.593608238324924 \tabularnewline
0.74 & 98.9321989796521 & 0.550118767251875 \tabularnewline
0.75 & 99.0671588091474 & 0.515717344751994 \tabularnewline
0.76 & 99.1959653647474 & 0.487881685141837 \tabularnewline
0.77 & 99.319630448838 & 0.463654252066653 \tabularnewline
0.78 & 99.4384443576837 & 0.439875954294845 \tabularnewline
0.79 & 99.5520013431321 & 0.41401944803251 \tabularnewline
0.8 & 99.6593448109988 & 0.384257578920181 \tabularnewline
0.81 & 99.7592141400933 & 0.349828512301766 \tabularnewline
0.82 & 99.8503571712782 & 0.31127571997477 \tabularnewline
0.83 & 99.9318437420292 & 0.270411561088176 \tabularnewline
0.84 & 100.00329607919 & 0.229589553202252 \tabularnewline
0.85 & 100.064967013341 & 0.191516317893009 \tabularnewline
0.86 & 100.117655421168 & 0.158022848177215 \tabularnewline
0.87 & 100.162525890655 & 0.12987174746956 \tabularnewline
0.88 & 100.200945630821 & 0.107191684797635 \tabularnewline
0.89 & 100.234420314227 & 0.08960075417006 \tabularnewline
0.9 & 100.264605366826 & 0.0773067203172002 \tabularnewline
0.91 & 100.29327221801 & 0.0704818874082492 \tabularnewline
0.92 & 100.32215436669 & 0.0682993056019609 \tabularnewline
0.93 & 100.352857285118 & 0.068889100930734 \tabularnewline
0.94 & 100.387316240331 & 0.0710501182589955 \tabularnewline
0.95 & 100.429093648158 & 0.0779074292168461 \tabularnewline
0.96 & 100.484461623367 & 0.0957267031356171 \tabularnewline
0.97 & 100.559979394552 & 0.121630747726286 \tabularnewline
0.98 & 100.653331290831 & 0.130961988193694 \tabularnewline
0.99 & 100.742183332825 & 0.0920657270907729 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282138&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]85.2984011307911[/C][C]0.25918741407902[/C][/ROW]
[ROW][C]0.02[/C][C]85.5195118625969[/C][C]0.244962256318656[/C][/ROW]
[ROW][C]0.03[/C][C]85.7208855741051[/C][C]0.278423192701136[/C][/ROW]
[ROW][C]0.04[/C][C]85.9021590787434[/C][C]0.28721034601238[/C][/ROW]
[ROW][C]0.05[/C][C]86.0636612284098[/C][C]0.272639796711503[/C][/ROW]
[ROW][C]0.06[/C][C]86.204283942596[/C][C]0.256237344553855[/C][/ROW]
[ROW][C]0.07[/C][C]86.3283925579105[/C][C]0.253335653179631[/C][/ROW]
[ROW][C]0.08[/C][C]86.4439385246934[/C][C]0.26860588430272[/C][/ROW]
[ROW][C]0.09[/C][C]86.5584630693937[/C][C]0.297352994605651[/C][/ROW]
[ROW][C]0.1[/C][C]86.6766246098155[/C][C]0.329261212734169[/C][/ROW]
[ROW][C]0.11[/C][C]86.7998014776651[/C][C]0.35663811146481[/C][/ROW]
[ROW][C]0.12[/C][C]86.9274290898367[/C][C]0.37866773444616[/C][/ROW]
[ROW][C]0.13[/C][C]87.0591763006026[/C][C]0.402631679395867[/C][/ROW]
[ROW][C]0.14[/C][C]87.1968419538057[/C][C]0.440731643070882[/C][/ROW]
[ROW][C]0.15[/C][C]87.3451565658142[/C][C]0.505491683765574[/C][/ROW]
[ROW][C]0.16[/C][C]87.511253246732[/C][C]0.60337458221685[/C][/ROW]
[ROW][C]0.17[/C][C]87.7030858886409[/C][C]0.732235227699439[/C][/ROW]
[ROW][C]0.18[/C][C]87.9273612815349[/C][C]0.881721577833169[/C][/ROW]
[ROW][C]0.19[/C][C]88.1876139369332[/C][C]1.03584346750568[/C][/ROW]
[ROW][C]0.2[/C][C]88.4829423871294[/C][C]1.17571841596659[/C][/ROW]
[ROW][C]0.21[/C][C]88.8077033298141[/C][C]1.28404040740456[/C][/ROW]
[ROW][C]0.22[/C][C]89.1521901258367[/C][C]1.34774583699687[/C][/ROW]
[ROW][C]0.23[/C][C]89.5040772446524[/C][C]1.35963220920221[/C][/ROW]
[ROW][C]0.24[/C][C]89.8502552001439[/C][C]1.32013135652239[/C][/ROW]
[ROW][C]0.25[/C][C]90.1786415211666[/C][C]1.23622963446333[/C][/ROW]
[ROW][C]0.26[/C][C]90.479621492518[/C][C]1.11913498052738[/C][/ROW]
[ROW][C]0.27[/C][C]90.7469078703801[/C][C]0.982822074117687[/C][/ROW]
[ROW][C]0.28[/C][C]90.9777637546567[/C][C]0.841065337002463[/C][/ROW]
[ROW][C]0.29[/C][C]91.1726682121525[/C][C]0.705429419101109[/C][/ROW]
[ROW][C]0.3[/C][C]91.3345961506445[/C][C]0.584661875494251[/C][/ROW]
[ROW][C]0.31[/C][C]91.4681228965178[/C][C]0.483959591378925[/C][/ROW]
[ROW][C]0.32[/C][C]91.5785522710141[/C][C]0.404896664642052[/C][/ROW]
[ROW][C]0.33[/C][C]91.6712163181053[/C][C]0.346593983304263[/C][/ROW]
[ROW][C]0.34[/C][C]91.751023175278[/C][C]0.306937692322733[/C][/ROW]
[ROW][C]0.35[/C][C]91.8222569068165[/C][C]0.283503666714511[/C][/ROW]
[ROW][C]0.36[/C][C]91.8885764506614[/C][C]0.273492400983285[/C][/ROW]
[ROW][C]0.37[/C][C]91.9531301990354[/C][C]0.275874723541303[/C][/ROW]
[ROW][C]0.38[/C][C]92.0186997970638[/C][C]0.28973016548767[/C][/ROW]
[ROW][C]0.39[/C][C]92.0878061306107[/C][C]0.314049975927722[/C][/ROW]
[ROW][C]0.4[/C][C]92.1627427652636[/C][C]0.348530720587163[/C][/ROW]
[ROW][C]0.41[/C][C]92.2455369544844[/C][C]0.391236628445664[/C][/ROW]
[ROW][C]0.42[/C][C]92.3378667966897[/C][C]0.440588973031582[/C][/ROW]
[ROW][C]0.43[/C][C]92.4409789075804[/C][C]0.493874617083365[/C][/ROW]
[ROW][C]0.44[/C][C]92.5556511284362[/C][C]0.549039538241401[/C][/ROW]
[ROW][C]0.45[/C][C]92.682230001273[/C][C]0.603977653258094[/C][/ROW]
[ROW][C]0.46[/C][C]92.8207473334805[/C][C]0.657647714900437[/C][/ROW]
[ROW][C]0.47[/C][C]92.9710914842547[/C][C]0.710126210867523[/C][/ROW]
[ROW][C]0.48[/C][C]93.1331858657311[/C][C]0.762233497296588[/C][/ROW]
[ROW][C]0.49[/C][C]93.3071175757887[/C][C]0.815089211129772[/C][/ROW]
[ROW][C]0.5[/C][C]93.4931676930166[/C][C]0.870227930043944[/C][/ROW]
[ROW][C]0.51[/C][C]93.6917208565753[/C][C]0.927923371988072[/C][/ROW]
[ROW][C]0.52[/C][C]93.903068776476[/C][C]0.986910364501346[/C][/ROW]
[ROW][C]0.53[/C][C]94.127159273557[/C][C]1.04478649759508[/C][/ROW]
[ROW][C]0.54[/C][C]94.3633669689892[/C][C]1.09812891505725[/C][/ROW]
[ROW][C]0.55[/C][C]94.6103640745137[/C][C]1.14268450127333[/C][/ROW]
[ROW][C]0.56[/C][C]94.8661463586392[/C][C]1.17570768710289[/C][/ROW]
[ROW][C]0.57[/C][C]95.1282250141256[/C][C]1.19481224357212[/C][/ROW]
[ROW][C]0.58[/C][C]95.3939423097943[/C][C]1.20038160595364[/C][/ROW]
[ROW][C]0.59[/C][C]95.6608245917831[/C][C]1.1942163217744[/C][/ROW]
[ROW][C]0.6[/C][C]95.9268667066129[/C][C]1.17956010308319[/C][/ROW]
[ROW][C]0.61[/C][C]96.190657001666[/C][C]1.16036000481536[/C][/ROW]
[ROW][C]0.62[/C][C]96.4513004255857[/C][C]1.13912015729839[/C][/ROW]
[ROW][C]0.63[/C][C]96.7081652940464[/C][C]1.11640928329676[/C][/ROW]
[ROW][C]0.64[/C][C]96.9605442105683[/C][C]1.09170397439219[/C][/ROW]
[ROW][C]0.65[/C][C]97.2073567882136[/C][C]1.06160410145109[/C][/ROW]
[ROW][C]0.66[/C][C]97.4470142365977[/C][C]1.02357519288799[/C][/ROW]
[ROW][C]0.67[/C][C]97.6775124109569[/C][C]0.975209582667261[/C][/ROW]
[ROW][C]0.68[/C][C]97.8967379609327[/C][C]0.91647956860236[/C][/ROW]
[ROW][C]0.69[/C][C]98.1028925145947[/C][C]0.849868292193501[/C][/ROW]
[ROW][C]0.7[/C][C]98.2948943105086[/C][C]0.779391332553298[/C][/ROW]
[ROW][C]0.71[/C][C]98.4726241401374[/C][C]0.710308323980628[/C][/ROW]
[ROW][C]0.72[/C][C]98.6369391650234[/C][C]0.647350266621179[/C][/ROW]
[ROW][C]0.73[/C][C]98.7894590054138[/C][C]0.593608238324924[/C][/ROW]
[ROW][C]0.74[/C][C]98.9321989796521[/C][C]0.550118767251875[/C][/ROW]
[ROW][C]0.75[/C][C]99.0671588091474[/C][C]0.515717344751994[/C][/ROW]
[ROW][C]0.76[/C][C]99.1959653647474[/C][C]0.487881685141837[/C][/ROW]
[ROW][C]0.77[/C][C]99.319630448838[/C][C]0.463654252066653[/C][/ROW]
[ROW][C]0.78[/C][C]99.4384443576837[/C][C]0.439875954294845[/C][/ROW]
[ROW][C]0.79[/C][C]99.5520013431321[/C][C]0.41401944803251[/C][/ROW]
[ROW][C]0.8[/C][C]99.6593448109988[/C][C]0.384257578920181[/C][/ROW]
[ROW][C]0.81[/C][C]99.7592141400933[/C][C]0.349828512301766[/C][/ROW]
[ROW][C]0.82[/C][C]99.8503571712782[/C][C]0.31127571997477[/C][/ROW]
[ROW][C]0.83[/C][C]99.9318437420292[/C][C]0.270411561088176[/C][/ROW]
[ROW][C]0.84[/C][C]100.00329607919[/C][C]0.229589553202252[/C][/ROW]
[ROW][C]0.85[/C][C]100.064967013341[/C][C]0.191516317893009[/C][/ROW]
[ROW][C]0.86[/C][C]100.117655421168[/C][C]0.158022848177215[/C][/ROW]
[ROW][C]0.87[/C][C]100.162525890655[/C][C]0.12987174746956[/C][/ROW]
[ROW][C]0.88[/C][C]100.200945630821[/C][C]0.107191684797635[/C][/ROW]
[ROW][C]0.89[/C][C]100.234420314227[/C][C]0.08960075417006[/C][/ROW]
[ROW][C]0.9[/C][C]100.264605366826[/C][C]0.0773067203172002[/C][/ROW]
[ROW][C]0.91[/C][C]100.29327221801[/C][C]0.0704818874082492[/C][/ROW]
[ROW][C]0.92[/C][C]100.32215436669[/C][C]0.0682993056019609[/C][/ROW]
[ROW][C]0.93[/C][C]100.352857285118[/C][C]0.068889100930734[/C][/ROW]
[ROW][C]0.94[/C][C]100.387316240331[/C][C]0.0710501182589955[/C][/ROW]
[ROW][C]0.95[/C][C]100.429093648158[/C][C]0.0779074292168461[/C][/ROW]
[ROW][C]0.96[/C][C]100.484461623367[/C][C]0.0957267031356171[/C][/ROW]
[ROW][C]0.97[/C][C]100.559979394552[/C][C]0.121630747726286[/C][/ROW]
[ROW][C]0.98[/C][C]100.653331290831[/C][C]0.130961988193694[/C][/ROW]
[ROW][C]0.99[/C][C]100.742183332825[/C][C]0.0920657270907729[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282138&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282138&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
0.0185.29840113079110.25918741407902
0.0285.51951186259690.244962256318656
0.0385.72088557410510.278423192701136
0.0485.90215907874340.28721034601238
0.0586.06366122840980.272639796711503
0.0686.2042839425960.256237344553855
0.0786.32839255791050.253335653179631
0.0886.44393852469340.26860588430272
0.0986.55846306939370.297352994605651
0.186.67662460981550.329261212734169
0.1186.79980147766510.35663811146481
0.1286.92742908983670.37866773444616
0.1387.05917630060260.402631679395867
0.1487.19684195380570.440731643070882
0.1587.34515656581420.505491683765574
0.1687.5112532467320.60337458221685
0.1787.70308588864090.732235227699439
0.1887.92736128153490.881721577833169
0.1988.18761393693321.03584346750568
0.288.48294238712941.17571841596659
0.2188.80770332981411.28404040740456
0.2289.15219012583671.34774583699687
0.2389.50407724465241.35963220920221
0.2489.85025520014391.32013135652239
0.2590.17864152116661.23622963446333
0.2690.4796214925181.11913498052738
0.2790.74690787038010.982822074117687
0.2890.97776375465670.841065337002463
0.2991.17266821215250.705429419101109
0.391.33459615064450.584661875494251
0.3191.46812289651780.483959591378925
0.3291.57855227101410.404896664642052
0.3391.67121631810530.346593983304263
0.3491.7510231752780.306937692322733
0.3591.82225690681650.283503666714511
0.3691.88857645066140.273492400983285
0.3791.95313019903540.275874723541303
0.3892.01869979706380.28973016548767
0.3992.08780613061070.314049975927722
0.492.16274276526360.348530720587163
0.4192.24553695448440.391236628445664
0.4292.33786679668970.440588973031582
0.4392.44097890758040.493874617083365
0.4492.55565112843620.549039538241401
0.4592.6822300012730.603977653258094
0.4692.82074733348050.657647714900437
0.4792.97109148425470.710126210867523
0.4893.13318586573110.762233497296588
0.4993.30711757578870.815089211129772
0.593.49316769301660.870227930043944
0.5193.69172085657530.927923371988072
0.5293.9030687764760.986910364501346
0.5394.1271592735571.04478649759508
0.5494.36336696898921.09812891505725
0.5594.61036407451371.14268450127333
0.5694.86614635863921.17570768710289
0.5795.12822501412561.19481224357212
0.5895.39394230979431.20038160595364
0.5995.66082459178311.1942163217744
0.695.92686670661291.17956010308319
0.6196.1906570016661.16036000481536
0.6296.45130042558571.13912015729839
0.6396.70816529404641.11640928329676
0.6496.96054421056831.09170397439219
0.6597.20735678821361.06160410145109
0.6697.44701423659771.02357519288799
0.6797.67751241095690.975209582667261
0.6897.89673796093270.91647956860236
0.6998.10289251459470.849868292193501
0.798.29489431050860.779391332553298
0.7198.47262414013740.710308323980628
0.7298.63693916502340.647350266621179
0.7398.78945900541380.593608238324924
0.7498.93219897965210.550118767251875
0.7599.06715880914740.515717344751994
0.7699.19596536474740.487881685141837
0.7799.3196304488380.463654252066653
0.7899.43844435768370.439875954294845
0.7999.55200134313210.41401944803251
0.899.65934481099880.384257578920181
0.8199.75921414009330.349828512301766
0.8299.85035717127820.31127571997477
0.8399.93184374202920.270411561088176
0.84100.003296079190.229589553202252
0.85100.0649670133410.191516317893009
0.86100.1176554211680.158022848177215
0.87100.1625258906550.12987174746956
0.88100.2009456308210.107191684797635
0.89100.2344203142270.08960075417006
0.9100.2646053668260.0773067203172002
0.91100.293272218010.0704818874082492
0.92100.322154366690.0682993056019609
0.93100.3528572851180.068889100930734
0.94100.3873162403310.0710501182589955
0.95100.4290936481580.0779074292168461
0.96100.4844616233670.0957267031356171
0.97100.5599793945520.121630747726286
0.98100.6533312908310.130961988193694
0.99100.7421833328250.0920657270907729


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 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')