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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 computationMon, 09 Mar 2009 14:03:36 -0600
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/Mar/09/t12366290363mb7ud9qu35n0ul.htm/, Retrieved Mon, 29 Apr 2024 03:06:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38830, Retrieved Mon, 29 Apr 2024 03:06:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

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] [] [2009-03-09 20:03:36] [738a25b0d97c8f3fa6714f905e8e3fd3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
27.00
26.88
27.38
26.82
27.00
26.15
25.85
26.17
25.66
25.72
25.42
25.10
26.20
26.39
26.27
26.63
21.10
20.30
20.61
21.05
20.45
20.91
21.22
20.85
21.90
22.71
22.40
22.81
23.96
23.37
23.55
23.01
22.63
22.63
22.00
22.15
22.00
22.00
21.84
22.10
22.37
21.83
21.77
21.89
20.76
20.21
20.19
20.01
19.16
18.50
17.41
18.14
18.60
18.32
18.40
18.16
17.29
16.65
16.36
16.32
17.37
17.30
18.10
19.00
18.38
18.41
18.10
17.87
18.70
18.81
18.88
19.44
18.60
18.80
18.62
18.24
17.84
17.85
17.67
17.99
18.15
18.39
18.07
18.39

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38830&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38830&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38830&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0116.38394928636540.165091578539833
0.0216.52942152267400.324039041160857
0.0316.72976185611350.402969296835671
0.0416.94038081426240.390797147703084
0.0517.12837765429300.335335244835759
0.0617.28288332235020.285558716515829
0.0717.40860588841600.260769286543959
0.0817.51494953606890.252761466468717
0.0917.60910904923430.247099209076028
0.117.6944311506250.236336567726454
0.1117.77168101133370.219955788804912
0.1217.84077721653380.200746297117339
0.1317.90184867322370.181637227737417
0.1417.95553521130630.164578311330130
0.1518.00287286926160.150473692274828
0.1618.04507782315830.139715489554495
0.1718.08337547834730.132477657000099
0.1818.11889422922370.128678249394472
0.1918.15259934748960.127814344218315
0.218.18525088592390.129013037608781
0.2118.21738839583110.131336234297854
0.2218.24935143004560.133972781743681
0.2318.28133654123620.136637499249439
0.2418.31347834127510.139417782431347
0.2518.34593401827690.142888882574913
0.2618.37895180797360.147817339461494
0.2718.41291252534770.155093281586673
0.2818.44834420718730.165428922665475
0.2918.48591792822290.179470580790491
0.318.52643494631790.197841755099074
0.3118.57081161224720.221066141809446
0.3218.62006154477470.249765212936989
0.3318.67526808892690.284288200566895
0.3418.73753723523570.32480265620479
0.3518.80792357326660.370849196437576
0.3618.88732904976090.421354563016672
0.3718.97638409918260.474552259960054
0.3819.0753299122630.527865560480215
0.3919.18392601990180.578454946359031
0.419.30140680378500.62338707673405
0.4119.42650349755790.660018131258232
0.4219.55753610592560.686441687833563
0.4319.69256537274040.701711307453106
0.4419.82958209467140.706047897084167
0.4519.96670294848810.700682434737211
0.4620.10234050566360.687819407694769
0.4720.23532037680330.669953870709814
0.4820.36492890707140.649849443331901
0.4920.49088792034580.629812451170873
0.520.61326585579850.611524379631726
0.5120.73234493403690.59575345945039
0.5220.84847029107060.582414344151711
0.5320.96190877119260.57048001241843
0.5421.07274238344360.558573434583718
0.5521.18081485288450.545035481064082
0.5621.28574015078570.528441063081997
0.5721.38697068917860.507981873687874
0.5821.48391178287130.483598767393578
0.5921.5760600906110.456031290896647
0.621.66313904137290.426817978263806
0.6121.74520509644040.398107241918803
0.6221.82270531848420.372226302924189
0.6321.89647795660950.351485988566702
0.6421.96770121453450.337677327176899
0.6522.03780792264420.331889814919743
0.6622.10839234642150.334443419629374
0.6722.18113740042460.345095906487739
0.6822.25778491900090.363355937725638
0.6922.34015874176130.389182591407757
0.722.43023220640120.423028328627039
0.7122.53021169527850.465985231925447
0.7222.64259082787910.519570528230267
0.7322.7701210685150.584989554841531
0.7422.91564909774420.662331525626696
0.7523.08179295704880.749882879863956
0.7623.27046803740820.843447023978237
0.7723.4823252866350.936164533122287
0.7823.71621553329831.01908965178885
0.7923.96882758788611.08232875638088
0.824.23464456761241.11666117375964
0.8124.50631076570161.11547448436660
0.8224.77540514004021.07653021062469
0.8325.03350327961991.00259522420039
0.8425.27331893434460.9013357116033
0.8525.48968742410940.783789979377009
0.8625.680199368680.662356074780064
0.8725.84538876132510.54868185352898
0.8825.98847204861250.452181483477915
0.8926.11468103764980.379083614512914
0.926.23023696973610.331729661375538
0.9126.34103745248960.307077359321357
0.9226.45124351766220.296148579734191
0.9326.56216486612010.286499602124982
0.9426.67206705120380.267169396417422
0.9526.77771155167820.233383485269376
0.9626.87850306781200.189910363571439
0.9726.98275093959240.156616848993193
0.9827.10851313200160.178334886127105
0.9927.25977507727320.275346568352218

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 16.3839492863654 & 0.165091578539833 \tabularnewline
0.02 & 16.5294215226740 & 0.324039041160857 \tabularnewline
0.03 & 16.7297618561135 & 0.402969296835671 \tabularnewline
0.04 & 16.9403808142624 & 0.390797147703084 \tabularnewline
0.05 & 17.1283776542930 & 0.335335244835759 \tabularnewline
0.06 & 17.2828833223502 & 0.285558716515829 \tabularnewline
0.07 & 17.4086058884160 & 0.260769286543959 \tabularnewline
0.08 & 17.5149495360689 & 0.252761466468717 \tabularnewline
0.09 & 17.6091090492343 & 0.247099209076028 \tabularnewline
0.1 & 17.694431150625 & 0.236336567726454 \tabularnewline
0.11 & 17.7716810113337 & 0.219955788804912 \tabularnewline
0.12 & 17.8407772165338 & 0.200746297117339 \tabularnewline
0.13 & 17.9018486732237 & 0.181637227737417 \tabularnewline
0.14 & 17.9555352113063 & 0.164578311330130 \tabularnewline
0.15 & 18.0028728692616 & 0.150473692274828 \tabularnewline
0.16 & 18.0450778231583 & 0.139715489554495 \tabularnewline
0.17 & 18.0833754783473 & 0.132477657000099 \tabularnewline
0.18 & 18.1188942292237 & 0.128678249394472 \tabularnewline
0.19 & 18.1525993474896 & 0.127814344218315 \tabularnewline
0.2 & 18.1852508859239 & 0.129013037608781 \tabularnewline
0.21 & 18.2173883958311 & 0.131336234297854 \tabularnewline
0.22 & 18.2493514300456 & 0.133972781743681 \tabularnewline
0.23 & 18.2813365412362 & 0.136637499249439 \tabularnewline
0.24 & 18.3134783412751 & 0.139417782431347 \tabularnewline
0.25 & 18.3459340182769 & 0.142888882574913 \tabularnewline
0.26 & 18.3789518079736 & 0.147817339461494 \tabularnewline
0.27 & 18.4129125253477 & 0.155093281586673 \tabularnewline
0.28 & 18.4483442071873 & 0.165428922665475 \tabularnewline
0.29 & 18.4859179282229 & 0.179470580790491 \tabularnewline
0.3 & 18.5264349463179 & 0.197841755099074 \tabularnewline
0.31 & 18.5708116122472 & 0.221066141809446 \tabularnewline
0.32 & 18.6200615447747 & 0.249765212936989 \tabularnewline
0.33 & 18.6752680889269 & 0.284288200566895 \tabularnewline
0.34 & 18.7375372352357 & 0.32480265620479 \tabularnewline
0.35 & 18.8079235732666 & 0.370849196437576 \tabularnewline
0.36 & 18.8873290497609 & 0.421354563016672 \tabularnewline
0.37 & 18.9763840991826 & 0.474552259960054 \tabularnewline
0.38 & 19.075329912263 & 0.527865560480215 \tabularnewline
0.39 & 19.1839260199018 & 0.578454946359031 \tabularnewline
0.4 & 19.3014068037850 & 0.62338707673405 \tabularnewline
0.41 & 19.4265034975579 & 0.660018131258232 \tabularnewline
0.42 & 19.5575361059256 & 0.686441687833563 \tabularnewline
0.43 & 19.6925653727404 & 0.701711307453106 \tabularnewline
0.44 & 19.8295820946714 & 0.706047897084167 \tabularnewline
0.45 & 19.9667029484881 & 0.700682434737211 \tabularnewline
0.46 & 20.1023405056636 & 0.687819407694769 \tabularnewline
0.47 & 20.2353203768033 & 0.669953870709814 \tabularnewline
0.48 & 20.3649289070714 & 0.649849443331901 \tabularnewline
0.49 & 20.4908879203458 & 0.629812451170873 \tabularnewline
0.5 & 20.6132658557985 & 0.611524379631726 \tabularnewline
0.51 & 20.7323449340369 & 0.59575345945039 \tabularnewline
0.52 & 20.8484702910706 & 0.582414344151711 \tabularnewline
0.53 & 20.9619087711926 & 0.57048001241843 \tabularnewline
0.54 & 21.0727423834436 & 0.558573434583718 \tabularnewline
0.55 & 21.1808148528845 & 0.545035481064082 \tabularnewline
0.56 & 21.2857401507857 & 0.528441063081997 \tabularnewline
0.57 & 21.3869706891786 & 0.507981873687874 \tabularnewline
0.58 & 21.4839117828713 & 0.483598767393578 \tabularnewline
0.59 & 21.576060090611 & 0.456031290896647 \tabularnewline
0.6 & 21.6631390413729 & 0.426817978263806 \tabularnewline
0.61 & 21.7452050964404 & 0.398107241918803 \tabularnewline
0.62 & 21.8227053184842 & 0.372226302924189 \tabularnewline
0.63 & 21.8964779566095 & 0.351485988566702 \tabularnewline
0.64 & 21.9677012145345 & 0.337677327176899 \tabularnewline
0.65 & 22.0378079226442 & 0.331889814919743 \tabularnewline
0.66 & 22.1083923464215 & 0.334443419629374 \tabularnewline
0.67 & 22.1811374004246 & 0.345095906487739 \tabularnewline
0.68 & 22.2577849190009 & 0.363355937725638 \tabularnewline
0.69 & 22.3401587417613 & 0.389182591407757 \tabularnewline
0.7 & 22.4302322064012 & 0.423028328627039 \tabularnewline
0.71 & 22.5302116952785 & 0.465985231925447 \tabularnewline
0.72 & 22.6425908278791 & 0.519570528230267 \tabularnewline
0.73 & 22.770121068515 & 0.584989554841531 \tabularnewline
0.74 & 22.9156490977442 & 0.662331525626696 \tabularnewline
0.75 & 23.0817929570488 & 0.749882879863956 \tabularnewline
0.76 & 23.2704680374082 & 0.843447023978237 \tabularnewline
0.77 & 23.482325286635 & 0.936164533122287 \tabularnewline
0.78 & 23.7162155332983 & 1.01908965178885 \tabularnewline
0.79 & 23.9688275878861 & 1.08232875638088 \tabularnewline
0.8 & 24.2346445676124 & 1.11666117375964 \tabularnewline
0.81 & 24.5063107657016 & 1.11547448436660 \tabularnewline
0.82 & 24.7754051400402 & 1.07653021062469 \tabularnewline
0.83 & 25.0335032796199 & 1.00259522420039 \tabularnewline
0.84 & 25.2733189343446 & 0.9013357116033 \tabularnewline
0.85 & 25.4896874241094 & 0.783789979377009 \tabularnewline
0.86 & 25.68019936868 & 0.662356074780064 \tabularnewline
0.87 & 25.8453887613251 & 0.54868185352898 \tabularnewline
0.88 & 25.9884720486125 & 0.452181483477915 \tabularnewline
0.89 & 26.1146810376498 & 0.379083614512914 \tabularnewline
0.9 & 26.2302369697361 & 0.331729661375538 \tabularnewline
0.91 & 26.3410374524896 & 0.307077359321357 \tabularnewline
0.92 & 26.4512435176622 & 0.296148579734191 \tabularnewline
0.93 & 26.5621648661201 & 0.286499602124982 \tabularnewline
0.94 & 26.6720670512038 & 0.267169396417422 \tabularnewline
0.95 & 26.7777115516782 & 0.233383485269376 \tabularnewline
0.96 & 26.8785030678120 & 0.189910363571439 \tabularnewline
0.97 & 26.9827509395924 & 0.156616848993193 \tabularnewline
0.98 & 27.1085131320016 & 0.178334886127105 \tabularnewline
0.99 & 27.2597750772732 & 0.275346568352218 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38830&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]16.3839492863654[/C][C]0.165091578539833[/C][/ROW]
[ROW][C]0.02[/C][C]16.5294215226740[/C][C]0.324039041160857[/C][/ROW]
[ROW][C]0.03[/C][C]16.7297618561135[/C][C]0.402969296835671[/C][/ROW]
[ROW][C]0.04[/C][C]16.9403808142624[/C][C]0.390797147703084[/C][/ROW]
[ROW][C]0.05[/C][C]17.1283776542930[/C][C]0.335335244835759[/C][/ROW]
[ROW][C]0.06[/C][C]17.2828833223502[/C][C]0.285558716515829[/C][/ROW]
[ROW][C]0.07[/C][C]17.4086058884160[/C][C]0.260769286543959[/C][/ROW]
[ROW][C]0.08[/C][C]17.5149495360689[/C][C]0.252761466468717[/C][/ROW]
[ROW][C]0.09[/C][C]17.6091090492343[/C][C]0.247099209076028[/C][/ROW]
[ROW][C]0.1[/C][C]17.694431150625[/C][C]0.236336567726454[/C][/ROW]
[ROW][C]0.11[/C][C]17.7716810113337[/C][C]0.219955788804912[/C][/ROW]
[ROW][C]0.12[/C][C]17.8407772165338[/C][C]0.200746297117339[/C][/ROW]
[ROW][C]0.13[/C][C]17.9018486732237[/C][C]0.181637227737417[/C][/ROW]
[ROW][C]0.14[/C][C]17.9555352113063[/C][C]0.164578311330130[/C][/ROW]
[ROW][C]0.15[/C][C]18.0028728692616[/C][C]0.150473692274828[/C][/ROW]
[ROW][C]0.16[/C][C]18.0450778231583[/C][C]0.139715489554495[/C][/ROW]
[ROW][C]0.17[/C][C]18.0833754783473[/C][C]0.132477657000099[/C][/ROW]
[ROW][C]0.18[/C][C]18.1188942292237[/C][C]0.128678249394472[/C][/ROW]
[ROW][C]0.19[/C][C]18.1525993474896[/C][C]0.127814344218315[/C][/ROW]
[ROW][C]0.2[/C][C]18.1852508859239[/C][C]0.129013037608781[/C][/ROW]
[ROW][C]0.21[/C][C]18.2173883958311[/C][C]0.131336234297854[/C][/ROW]
[ROW][C]0.22[/C][C]18.2493514300456[/C][C]0.133972781743681[/C][/ROW]
[ROW][C]0.23[/C][C]18.2813365412362[/C][C]0.136637499249439[/C][/ROW]
[ROW][C]0.24[/C][C]18.3134783412751[/C][C]0.139417782431347[/C][/ROW]
[ROW][C]0.25[/C][C]18.3459340182769[/C][C]0.142888882574913[/C][/ROW]
[ROW][C]0.26[/C][C]18.3789518079736[/C][C]0.147817339461494[/C][/ROW]
[ROW][C]0.27[/C][C]18.4129125253477[/C][C]0.155093281586673[/C][/ROW]
[ROW][C]0.28[/C][C]18.4483442071873[/C][C]0.165428922665475[/C][/ROW]
[ROW][C]0.29[/C][C]18.4859179282229[/C][C]0.179470580790491[/C][/ROW]
[ROW][C]0.3[/C][C]18.5264349463179[/C][C]0.197841755099074[/C][/ROW]
[ROW][C]0.31[/C][C]18.5708116122472[/C][C]0.221066141809446[/C][/ROW]
[ROW][C]0.32[/C][C]18.6200615447747[/C][C]0.249765212936989[/C][/ROW]
[ROW][C]0.33[/C][C]18.6752680889269[/C][C]0.284288200566895[/C][/ROW]
[ROW][C]0.34[/C][C]18.7375372352357[/C][C]0.32480265620479[/C][/ROW]
[ROW][C]0.35[/C][C]18.8079235732666[/C][C]0.370849196437576[/C][/ROW]
[ROW][C]0.36[/C][C]18.8873290497609[/C][C]0.421354563016672[/C][/ROW]
[ROW][C]0.37[/C][C]18.9763840991826[/C][C]0.474552259960054[/C][/ROW]
[ROW][C]0.38[/C][C]19.075329912263[/C][C]0.527865560480215[/C][/ROW]
[ROW][C]0.39[/C][C]19.1839260199018[/C][C]0.578454946359031[/C][/ROW]
[ROW][C]0.4[/C][C]19.3014068037850[/C][C]0.62338707673405[/C][/ROW]
[ROW][C]0.41[/C][C]19.4265034975579[/C][C]0.660018131258232[/C][/ROW]
[ROW][C]0.42[/C][C]19.5575361059256[/C][C]0.686441687833563[/C][/ROW]
[ROW][C]0.43[/C][C]19.6925653727404[/C][C]0.701711307453106[/C][/ROW]
[ROW][C]0.44[/C][C]19.8295820946714[/C][C]0.706047897084167[/C][/ROW]
[ROW][C]0.45[/C][C]19.9667029484881[/C][C]0.700682434737211[/C][/ROW]
[ROW][C]0.46[/C][C]20.1023405056636[/C][C]0.687819407694769[/C][/ROW]
[ROW][C]0.47[/C][C]20.2353203768033[/C][C]0.669953870709814[/C][/ROW]
[ROW][C]0.48[/C][C]20.3649289070714[/C][C]0.649849443331901[/C][/ROW]
[ROW][C]0.49[/C][C]20.4908879203458[/C][C]0.629812451170873[/C][/ROW]
[ROW][C]0.5[/C][C]20.6132658557985[/C][C]0.611524379631726[/C][/ROW]
[ROW][C]0.51[/C][C]20.7323449340369[/C][C]0.59575345945039[/C][/ROW]
[ROW][C]0.52[/C][C]20.8484702910706[/C][C]0.582414344151711[/C][/ROW]
[ROW][C]0.53[/C][C]20.9619087711926[/C][C]0.57048001241843[/C][/ROW]
[ROW][C]0.54[/C][C]21.0727423834436[/C][C]0.558573434583718[/C][/ROW]
[ROW][C]0.55[/C][C]21.1808148528845[/C][C]0.545035481064082[/C][/ROW]
[ROW][C]0.56[/C][C]21.2857401507857[/C][C]0.528441063081997[/C][/ROW]
[ROW][C]0.57[/C][C]21.3869706891786[/C][C]0.507981873687874[/C][/ROW]
[ROW][C]0.58[/C][C]21.4839117828713[/C][C]0.483598767393578[/C][/ROW]
[ROW][C]0.59[/C][C]21.576060090611[/C][C]0.456031290896647[/C][/ROW]
[ROW][C]0.6[/C][C]21.6631390413729[/C][C]0.426817978263806[/C][/ROW]
[ROW][C]0.61[/C][C]21.7452050964404[/C][C]0.398107241918803[/C][/ROW]
[ROW][C]0.62[/C][C]21.8227053184842[/C][C]0.372226302924189[/C][/ROW]
[ROW][C]0.63[/C][C]21.8964779566095[/C][C]0.351485988566702[/C][/ROW]
[ROW][C]0.64[/C][C]21.9677012145345[/C][C]0.337677327176899[/C][/ROW]
[ROW][C]0.65[/C][C]22.0378079226442[/C][C]0.331889814919743[/C][/ROW]
[ROW][C]0.66[/C][C]22.1083923464215[/C][C]0.334443419629374[/C][/ROW]
[ROW][C]0.67[/C][C]22.1811374004246[/C][C]0.345095906487739[/C][/ROW]
[ROW][C]0.68[/C][C]22.2577849190009[/C][C]0.363355937725638[/C][/ROW]
[ROW][C]0.69[/C][C]22.3401587417613[/C][C]0.389182591407757[/C][/ROW]
[ROW][C]0.7[/C][C]22.4302322064012[/C][C]0.423028328627039[/C][/ROW]
[ROW][C]0.71[/C][C]22.5302116952785[/C][C]0.465985231925447[/C][/ROW]
[ROW][C]0.72[/C][C]22.6425908278791[/C][C]0.519570528230267[/C][/ROW]
[ROW][C]0.73[/C][C]22.770121068515[/C][C]0.584989554841531[/C][/ROW]
[ROW][C]0.74[/C][C]22.9156490977442[/C][C]0.662331525626696[/C][/ROW]
[ROW][C]0.75[/C][C]23.0817929570488[/C][C]0.749882879863956[/C][/ROW]
[ROW][C]0.76[/C][C]23.2704680374082[/C][C]0.843447023978237[/C][/ROW]
[ROW][C]0.77[/C][C]23.482325286635[/C][C]0.936164533122287[/C][/ROW]
[ROW][C]0.78[/C][C]23.7162155332983[/C][C]1.01908965178885[/C][/ROW]
[ROW][C]0.79[/C][C]23.9688275878861[/C][C]1.08232875638088[/C][/ROW]
[ROW][C]0.8[/C][C]24.2346445676124[/C][C]1.11666117375964[/C][/ROW]
[ROW][C]0.81[/C][C]24.5063107657016[/C][C]1.11547448436660[/C][/ROW]
[ROW][C]0.82[/C][C]24.7754051400402[/C][C]1.07653021062469[/C][/ROW]
[ROW][C]0.83[/C][C]25.0335032796199[/C][C]1.00259522420039[/C][/ROW]
[ROW][C]0.84[/C][C]25.2733189343446[/C][C]0.9013357116033[/C][/ROW]
[ROW][C]0.85[/C][C]25.4896874241094[/C][C]0.783789979377009[/C][/ROW]
[ROW][C]0.86[/C][C]25.68019936868[/C][C]0.662356074780064[/C][/ROW]
[ROW][C]0.87[/C][C]25.8453887613251[/C][C]0.54868185352898[/C][/ROW]
[ROW][C]0.88[/C][C]25.9884720486125[/C][C]0.452181483477915[/C][/ROW]
[ROW][C]0.89[/C][C]26.1146810376498[/C][C]0.379083614512914[/C][/ROW]
[ROW][C]0.9[/C][C]26.2302369697361[/C][C]0.331729661375538[/C][/ROW]
[ROW][C]0.91[/C][C]26.3410374524896[/C][C]0.307077359321357[/C][/ROW]
[ROW][C]0.92[/C][C]26.4512435176622[/C][C]0.296148579734191[/C][/ROW]
[ROW][C]0.93[/C][C]26.5621648661201[/C][C]0.286499602124982[/C][/ROW]
[ROW][C]0.94[/C][C]26.6720670512038[/C][C]0.267169396417422[/C][/ROW]
[ROW][C]0.95[/C][C]26.7777115516782[/C][C]0.233383485269376[/C][/ROW]
[ROW][C]0.96[/C][C]26.8785030678120[/C][C]0.189910363571439[/C][/ROW]
[ROW][C]0.97[/C][C]26.9827509395924[/C][C]0.156616848993193[/C][/ROW]
[ROW][C]0.98[/C][C]27.1085131320016[/C][C]0.178334886127105[/C][/ROW]
[ROW][C]0.99[/C][C]27.2597750772732[/C][C]0.275346568352218[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38830&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38830&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
0.0116.38394928636540.165091578539833
0.0216.52942152267400.324039041160857
0.0316.72976185611350.402969296835671
0.0416.94038081426240.390797147703084
0.0517.12837765429300.335335244835759
0.0617.28288332235020.285558716515829
0.0717.40860588841600.260769286543959
0.0817.51494953606890.252761466468717
0.0917.60910904923430.247099209076028
0.117.6944311506250.236336567726454
0.1117.77168101133370.219955788804912
0.1217.84077721653380.200746297117339
0.1317.90184867322370.181637227737417
0.1417.95553521130630.164578311330130
0.1518.00287286926160.150473692274828
0.1618.04507782315830.139715489554495
0.1718.08337547834730.132477657000099
0.1818.11889422922370.128678249394472
0.1918.15259934748960.127814344218315
0.218.18525088592390.129013037608781
0.2118.21738839583110.131336234297854
0.2218.24935143004560.133972781743681
0.2318.28133654123620.136637499249439
0.2418.31347834127510.139417782431347
0.2518.34593401827690.142888882574913
0.2618.37895180797360.147817339461494
0.2718.41291252534770.155093281586673
0.2818.44834420718730.165428922665475
0.2918.48591792822290.179470580790491
0.318.52643494631790.197841755099074
0.3118.57081161224720.221066141809446
0.3218.62006154477470.249765212936989
0.3318.67526808892690.284288200566895
0.3418.73753723523570.32480265620479
0.3518.80792357326660.370849196437576
0.3618.88732904976090.421354563016672
0.3718.97638409918260.474552259960054
0.3819.0753299122630.527865560480215
0.3919.18392601990180.578454946359031
0.419.30140680378500.62338707673405
0.4119.42650349755790.660018131258232
0.4219.55753610592560.686441687833563
0.4319.69256537274040.701711307453106
0.4419.82958209467140.706047897084167
0.4519.96670294848810.700682434737211
0.4620.10234050566360.687819407694769
0.4720.23532037680330.669953870709814
0.4820.36492890707140.649849443331901
0.4920.49088792034580.629812451170873
0.520.61326585579850.611524379631726
0.5120.73234493403690.59575345945039
0.5220.84847029107060.582414344151711
0.5320.96190877119260.57048001241843
0.5421.07274238344360.558573434583718
0.5521.18081485288450.545035481064082
0.5621.28574015078570.528441063081997
0.5721.38697068917860.507981873687874
0.5821.48391178287130.483598767393578
0.5921.5760600906110.456031290896647
0.621.66313904137290.426817978263806
0.6121.74520509644040.398107241918803
0.6221.82270531848420.372226302924189
0.6321.89647795660950.351485988566702
0.6421.96770121453450.337677327176899
0.6522.03780792264420.331889814919743
0.6622.10839234642150.334443419629374
0.6722.18113740042460.345095906487739
0.6822.25778491900090.363355937725638
0.6922.34015874176130.389182591407757
0.722.43023220640120.423028328627039
0.7122.53021169527850.465985231925447
0.7222.64259082787910.519570528230267
0.7322.7701210685150.584989554841531
0.7422.91564909774420.662331525626696
0.7523.08179295704880.749882879863956
0.7623.27046803740820.843447023978237
0.7723.4823252866350.936164533122287
0.7823.71621553329831.01908965178885
0.7923.96882758788611.08232875638088
0.824.23464456761241.11666117375964
0.8124.50631076570161.11547448436660
0.8224.77540514004021.07653021062469
0.8325.03350327961991.00259522420039
0.8425.27331893434460.9013357116033
0.8525.48968742410940.783789979377009
0.8625.680199368680.662356074780064
0.8725.84538876132510.54868185352898
0.8825.98847204861250.452181483477915
0.8926.11468103764980.379083614512914
0.926.23023696973610.331729661375538
0.9126.34103745248960.307077359321357
0.9226.45124351766220.296148579734191
0.9326.56216486612010.286499602124982
0.9426.67206705120380.267169396417422
0.9526.77771155167820.233383485269376
0.9626.87850306781200.189910363571439
0.9726.98275093959240.156616848993193
0.9827.10851313200160.178334886127105
0.9927.25977507727320.275346568352218


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')