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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 computationWed, 11 Feb 2015 19:43:48 +0000
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/Feb/11/t1423683853mzzjszhcu16b3sx.htm/, Retrieved Sun, 19 May 2024 01:56:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277057, Retrieved Sun, 19 May 2024 01:56:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83

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] [Aantal nieuwe res...] [2015-02-11 19:43:48] [4436f154edbd6dc391df500b76aea682] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
65
96
66
55
36
63
49
59
89
33
65
62
63
69
84
46
54
83
34
87
55
47
77
38
73
64
75
81
133
107
43
50
27
34
52
29
48
37
64
48
38
39
52
66
67
58
40
31
101
82
72
46
45
62
64
29
57
71
46
71
56
75
78
76
53
43
52
93
52
67
58
52

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 Ronald Aylmer Fisher' @ fisher.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 Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277057&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 Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277057&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277057&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 Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0127.56908825981331.6385466690898
0.0228.41123119186561.44354504949424
0.0329.31338734750991.62848751359658
0.0430.2189176549181.95559122597627
0.0531.1305904306022.1911016050147
0.0632.03966300418712.288453837595
0.0732.92450785966712.30061231035631
0.0833.76895798323442.29464320237957
0.0934.57027875178932.30907006324377
0.135.33606104561412.35263064669906
0.1136.07805153032492.42183499353504
0.1236.80785672389142.51423851446039
0.1337.53514467793242.62928929840217
0.1438.26709714782632.7630599653238
0.1539.0080185978552.90405122875591
0.1639.75883279861133.03421057873864
0.1740.51678190700913.1340091638319
0.1841.27572788277623.18789742861883
0.1942.02719459370963.18824211527269
0.242.76195110199753.13716446986056
0.2143.47172173093.04516968121046
0.2244.1505851066222.9286356451736
0.2344.79575615739292.80578836843401
0.2445.40764823224572.69317128041987
0.2545.98930571247782.60261649578043
0.2646.54542861882262.53923227292965
0.2747.08126189600932.50154213851942
0.2847.60160159903342.48301054646131
0.2948.11010050301542.47428548469233
0.348.60896275758742.46608446930564
0.3149.09902423537562.45143455814881
0.3249.58013937873222.42669396088395
0.3350.05174714763892.39226694670879
0.3450.51347222871732.35223368700991
0.3550.96563129950732.313429306536
0.3651.40955122988182.28383043582942
0.3751.84765640179322.27121426948055
0.3852.28333395237052.28129132232064
0.3952.72062763005782.3167558442246
0.453.16383529632462.37732540565944
0.4153.6170890592812.45972963819785
0.4254.08398307415322.55903601464881
0.4354.56728889729672.66941840695077
0.4455.06877062500912.78470637720713
0.4555.58908990756072.89892362258134
0.4656.12777943643253.00620500815401
0.4756.68326375656573.10098095529189
0.4857.25291548956763.17776771994243
0.4957.83314794697753.23140015845969
0.558.41955572537483.25752028089443
0.5159.00711857912093.25264518641593
0.5259.59047870130133.2151168410034
0.5360.16428865541533.14539766681233
0.5460.72361031194373.0464390068825
0.5561.26432927760752.92376226306747
0.5661.78353918581582.78511159834672
0.5762.27984884752722.64001995048009
0.5862.7535730977632.49905947955052
0.5963.20678312631022.37275165881542
0.663.64321032422542.27089911342088
0.6164.06801495900712.20149696371276
0.6264.48744400628032.17000386431185
0.6364.9084098075772.17885818946551
0.6465.33802357998822.22730106620237
0.6565.78311733912122.31170429116855
0.6666.24978697347222.42555378285457
0.6766.74298952692132.56039989596266
0.6867.26622895606562.70672264772975
0.6967.82136476947642.85437129008329
0.768.40857422912782.99368058263148
0.7169.02648887330123.11636742134147
0.7269.67250925896113.21645166178404
0.7370.34327924350163.29114685995721
0.7471.03527561464213.34068599696516
0.7571.74544404702193.36886927831871
0.7672.47179236166623.38227631050745
0.7773.21384211071843.38972426734888
0.7873.97284671557513.40045867446278
0.7974.75171722902233.4228240616754
0.875.5546614357783.4622785054941
0.8176.38663513922483.51983973894342
0.8277.25280546098213.59201221214644
0.8378.15829434464683.67247661748678
0.8479.10845560758193.75549319822355
0.8580.10980440031673.84040737702036
0.8681.171473638493.93460418241417
0.8782.3067968122164.0532967540439
0.8883.53445221253284.21518784282343
0.8984.87871041157054.43402617155388
0.986.36882525891084.71146293970592
0.9188.0385830636975.03493087723963
0.9289.92872790174865.38456491932842
0.9392.09827636928215.7495336248169
0.9494.65681004383086.15698443032935
0.9597.83493847761356.73097761370699
0.96102.087765642757.82461243771783
0.97108.10777118683910.1852931231302
0.98116.37737229335614.6293110712016
0.99125.88983855578420.7109783884033

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 27.5690882598133 & 1.6385466690898 \tabularnewline
0.02 & 28.4112311918656 & 1.44354504949424 \tabularnewline
0.03 & 29.3133873475099 & 1.62848751359658 \tabularnewline
0.04 & 30.218917654918 & 1.95559122597627 \tabularnewline
0.05 & 31.130590430602 & 2.1911016050147 \tabularnewline
0.06 & 32.0396630041871 & 2.288453837595 \tabularnewline
0.07 & 32.9245078596671 & 2.30061231035631 \tabularnewline
0.08 & 33.7689579832344 & 2.29464320237957 \tabularnewline
0.09 & 34.5702787517893 & 2.30907006324377 \tabularnewline
0.1 & 35.3360610456141 & 2.35263064669906 \tabularnewline
0.11 & 36.0780515303249 & 2.42183499353504 \tabularnewline
0.12 & 36.8078567238914 & 2.51423851446039 \tabularnewline
0.13 & 37.5351446779324 & 2.62928929840217 \tabularnewline
0.14 & 38.2670971478263 & 2.7630599653238 \tabularnewline
0.15 & 39.008018597855 & 2.90405122875591 \tabularnewline
0.16 & 39.7588327986113 & 3.03421057873864 \tabularnewline
0.17 & 40.5167819070091 & 3.1340091638319 \tabularnewline
0.18 & 41.2757278827762 & 3.18789742861883 \tabularnewline
0.19 & 42.0271945937096 & 3.18824211527269 \tabularnewline
0.2 & 42.7619511019975 & 3.13716446986056 \tabularnewline
0.21 & 43.4717217309 & 3.04516968121046 \tabularnewline
0.22 & 44.150585106622 & 2.9286356451736 \tabularnewline
0.23 & 44.7957561573929 & 2.80578836843401 \tabularnewline
0.24 & 45.4076482322457 & 2.69317128041987 \tabularnewline
0.25 & 45.9893057124778 & 2.60261649578043 \tabularnewline
0.26 & 46.5454286188226 & 2.53923227292965 \tabularnewline
0.27 & 47.0812618960093 & 2.50154213851942 \tabularnewline
0.28 & 47.6016015990334 & 2.48301054646131 \tabularnewline
0.29 & 48.1101005030154 & 2.47428548469233 \tabularnewline
0.3 & 48.6089627575874 & 2.46608446930564 \tabularnewline
0.31 & 49.0990242353756 & 2.45143455814881 \tabularnewline
0.32 & 49.5801393787322 & 2.42669396088395 \tabularnewline
0.33 & 50.0517471476389 & 2.39226694670879 \tabularnewline
0.34 & 50.5134722287173 & 2.35223368700991 \tabularnewline
0.35 & 50.9656312995073 & 2.313429306536 \tabularnewline
0.36 & 51.4095512298818 & 2.28383043582942 \tabularnewline
0.37 & 51.8476564017932 & 2.27121426948055 \tabularnewline
0.38 & 52.2833339523705 & 2.28129132232064 \tabularnewline
0.39 & 52.7206276300578 & 2.3167558442246 \tabularnewline
0.4 & 53.1638352963246 & 2.37732540565944 \tabularnewline
0.41 & 53.617089059281 & 2.45972963819785 \tabularnewline
0.42 & 54.0839830741532 & 2.55903601464881 \tabularnewline
0.43 & 54.5672888972967 & 2.66941840695077 \tabularnewline
0.44 & 55.0687706250091 & 2.78470637720713 \tabularnewline
0.45 & 55.5890899075607 & 2.89892362258134 \tabularnewline
0.46 & 56.1277794364325 & 3.00620500815401 \tabularnewline
0.47 & 56.6832637565657 & 3.10098095529189 \tabularnewline
0.48 & 57.2529154895676 & 3.17776771994243 \tabularnewline
0.49 & 57.8331479469775 & 3.23140015845969 \tabularnewline
0.5 & 58.4195557253748 & 3.25752028089443 \tabularnewline
0.51 & 59.0071185791209 & 3.25264518641593 \tabularnewline
0.52 & 59.5904787013013 & 3.2151168410034 \tabularnewline
0.53 & 60.1642886554153 & 3.14539766681233 \tabularnewline
0.54 & 60.7236103119437 & 3.0464390068825 \tabularnewline
0.55 & 61.2643292776075 & 2.92376226306747 \tabularnewline
0.56 & 61.7835391858158 & 2.78511159834672 \tabularnewline
0.57 & 62.2798488475272 & 2.64001995048009 \tabularnewline
0.58 & 62.753573097763 & 2.49905947955052 \tabularnewline
0.59 & 63.2067831263102 & 2.37275165881542 \tabularnewline
0.6 & 63.6432103242254 & 2.27089911342088 \tabularnewline
0.61 & 64.0680149590071 & 2.20149696371276 \tabularnewline
0.62 & 64.4874440062803 & 2.17000386431185 \tabularnewline
0.63 & 64.908409807577 & 2.17885818946551 \tabularnewline
0.64 & 65.3380235799882 & 2.22730106620237 \tabularnewline
0.65 & 65.7831173391212 & 2.31170429116855 \tabularnewline
0.66 & 66.2497869734722 & 2.42555378285457 \tabularnewline
0.67 & 66.7429895269213 & 2.56039989596266 \tabularnewline
0.68 & 67.2662289560656 & 2.70672264772975 \tabularnewline
0.69 & 67.8213647694764 & 2.85437129008329 \tabularnewline
0.7 & 68.4085742291278 & 2.99368058263148 \tabularnewline
0.71 & 69.0264888733012 & 3.11636742134147 \tabularnewline
0.72 & 69.6725092589611 & 3.21645166178404 \tabularnewline
0.73 & 70.3432792435016 & 3.29114685995721 \tabularnewline
0.74 & 71.0352756146421 & 3.34068599696516 \tabularnewline
0.75 & 71.7454440470219 & 3.36886927831871 \tabularnewline
0.76 & 72.4717923616662 & 3.38227631050745 \tabularnewline
0.77 & 73.2138421107184 & 3.38972426734888 \tabularnewline
0.78 & 73.9728467155751 & 3.40045867446278 \tabularnewline
0.79 & 74.7517172290223 & 3.4228240616754 \tabularnewline
0.8 & 75.554661435778 & 3.4622785054941 \tabularnewline
0.81 & 76.3866351392248 & 3.51983973894342 \tabularnewline
0.82 & 77.2528054609821 & 3.59201221214644 \tabularnewline
0.83 & 78.1582943446468 & 3.67247661748678 \tabularnewline
0.84 & 79.1084556075819 & 3.75549319822355 \tabularnewline
0.85 & 80.1098044003167 & 3.84040737702036 \tabularnewline
0.86 & 81.17147363849 & 3.93460418241417 \tabularnewline
0.87 & 82.306796812216 & 4.0532967540439 \tabularnewline
0.88 & 83.5344522125328 & 4.21518784282343 \tabularnewline
0.89 & 84.8787104115705 & 4.43402617155388 \tabularnewline
0.9 & 86.3688252589108 & 4.71146293970592 \tabularnewline
0.91 & 88.038583063697 & 5.03493087723963 \tabularnewline
0.92 & 89.9287279017486 & 5.38456491932842 \tabularnewline
0.93 & 92.0982763692821 & 5.7495336248169 \tabularnewline
0.94 & 94.6568100438308 & 6.15698443032935 \tabularnewline
0.95 & 97.8349384776135 & 6.73097761370699 \tabularnewline
0.96 & 102.08776564275 & 7.82461243771783 \tabularnewline
0.97 & 108.107771186839 & 10.1852931231302 \tabularnewline
0.98 & 116.377372293356 & 14.6293110712016 \tabularnewline
0.99 & 125.889838555784 & 20.7109783884033 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277057&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]27.5690882598133[/C][C]1.6385466690898[/C][/ROW]
[ROW][C]0.02[/C][C]28.4112311918656[/C][C]1.44354504949424[/C][/ROW]
[ROW][C]0.03[/C][C]29.3133873475099[/C][C]1.62848751359658[/C][/ROW]
[ROW][C]0.04[/C][C]30.218917654918[/C][C]1.95559122597627[/C][/ROW]
[ROW][C]0.05[/C][C]31.130590430602[/C][C]2.1911016050147[/C][/ROW]
[ROW][C]0.06[/C][C]32.0396630041871[/C][C]2.288453837595[/C][/ROW]
[ROW][C]0.07[/C][C]32.9245078596671[/C][C]2.30061231035631[/C][/ROW]
[ROW][C]0.08[/C][C]33.7689579832344[/C][C]2.29464320237957[/C][/ROW]
[ROW][C]0.09[/C][C]34.5702787517893[/C][C]2.30907006324377[/C][/ROW]
[ROW][C]0.1[/C][C]35.3360610456141[/C][C]2.35263064669906[/C][/ROW]
[ROW][C]0.11[/C][C]36.0780515303249[/C][C]2.42183499353504[/C][/ROW]
[ROW][C]0.12[/C][C]36.8078567238914[/C][C]2.51423851446039[/C][/ROW]
[ROW][C]0.13[/C][C]37.5351446779324[/C][C]2.62928929840217[/C][/ROW]
[ROW][C]0.14[/C][C]38.2670971478263[/C][C]2.7630599653238[/C][/ROW]
[ROW][C]0.15[/C][C]39.008018597855[/C][C]2.90405122875591[/C][/ROW]
[ROW][C]0.16[/C][C]39.7588327986113[/C][C]3.03421057873864[/C][/ROW]
[ROW][C]0.17[/C][C]40.5167819070091[/C][C]3.1340091638319[/C][/ROW]
[ROW][C]0.18[/C][C]41.2757278827762[/C][C]3.18789742861883[/C][/ROW]
[ROW][C]0.19[/C][C]42.0271945937096[/C][C]3.18824211527269[/C][/ROW]
[ROW][C]0.2[/C][C]42.7619511019975[/C][C]3.13716446986056[/C][/ROW]
[ROW][C]0.21[/C][C]43.4717217309[/C][C]3.04516968121046[/C][/ROW]
[ROW][C]0.22[/C][C]44.150585106622[/C][C]2.9286356451736[/C][/ROW]
[ROW][C]0.23[/C][C]44.7957561573929[/C][C]2.80578836843401[/C][/ROW]
[ROW][C]0.24[/C][C]45.4076482322457[/C][C]2.69317128041987[/C][/ROW]
[ROW][C]0.25[/C][C]45.9893057124778[/C][C]2.60261649578043[/C][/ROW]
[ROW][C]0.26[/C][C]46.5454286188226[/C][C]2.53923227292965[/C][/ROW]
[ROW][C]0.27[/C][C]47.0812618960093[/C][C]2.50154213851942[/C][/ROW]
[ROW][C]0.28[/C][C]47.6016015990334[/C][C]2.48301054646131[/C][/ROW]
[ROW][C]0.29[/C][C]48.1101005030154[/C][C]2.47428548469233[/C][/ROW]
[ROW][C]0.3[/C][C]48.6089627575874[/C][C]2.46608446930564[/C][/ROW]
[ROW][C]0.31[/C][C]49.0990242353756[/C][C]2.45143455814881[/C][/ROW]
[ROW][C]0.32[/C][C]49.5801393787322[/C][C]2.42669396088395[/C][/ROW]
[ROW][C]0.33[/C][C]50.0517471476389[/C][C]2.39226694670879[/C][/ROW]
[ROW][C]0.34[/C][C]50.5134722287173[/C][C]2.35223368700991[/C][/ROW]
[ROW][C]0.35[/C][C]50.9656312995073[/C][C]2.313429306536[/C][/ROW]
[ROW][C]0.36[/C][C]51.4095512298818[/C][C]2.28383043582942[/C][/ROW]
[ROW][C]0.37[/C][C]51.8476564017932[/C][C]2.27121426948055[/C][/ROW]
[ROW][C]0.38[/C][C]52.2833339523705[/C][C]2.28129132232064[/C][/ROW]
[ROW][C]0.39[/C][C]52.7206276300578[/C][C]2.3167558442246[/C][/ROW]
[ROW][C]0.4[/C][C]53.1638352963246[/C][C]2.37732540565944[/C][/ROW]
[ROW][C]0.41[/C][C]53.617089059281[/C][C]2.45972963819785[/C][/ROW]
[ROW][C]0.42[/C][C]54.0839830741532[/C][C]2.55903601464881[/C][/ROW]
[ROW][C]0.43[/C][C]54.5672888972967[/C][C]2.66941840695077[/C][/ROW]
[ROW][C]0.44[/C][C]55.0687706250091[/C][C]2.78470637720713[/C][/ROW]
[ROW][C]0.45[/C][C]55.5890899075607[/C][C]2.89892362258134[/C][/ROW]
[ROW][C]0.46[/C][C]56.1277794364325[/C][C]3.00620500815401[/C][/ROW]
[ROW][C]0.47[/C][C]56.6832637565657[/C][C]3.10098095529189[/C][/ROW]
[ROW][C]0.48[/C][C]57.2529154895676[/C][C]3.17776771994243[/C][/ROW]
[ROW][C]0.49[/C][C]57.8331479469775[/C][C]3.23140015845969[/C][/ROW]
[ROW][C]0.5[/C][C]58.4195557253748[/C][C]3.25752028089443[/C][/ROW]
[ROW][C]0.51[/C][C]59.0071185791209[/C][C]3.25264518641593[/C][/ROW]
[ROW][C]0.52[/C][C]59.5904787013013[/C][C]3.2151168410034[/C][/ROW]
[ROW][C]0.53[/C][C]60.1642886554153[/C][C]3.14539766681233[/C][/ROW]
[ROW][C]0.54[/C][C]60.7236103119437[/C][C]3.0464390068825[/C][/ROW]
[ROW][C]0.55[/C][C]61.2643292776075[/C][C]2.92376226306747[/C][/ROW]
[ROW][C]0.56[/C][C]61.7835391858158[/C][C]2.78511159834672[/C][/ROW]
[ROW][C]0.57[/C][C]62.2798488475272[/C][C]2.64001995048009[/C][/ROW]
[ROW][C]0.58[/C][C]62.753573097763[/C][C]2.49905947955052[/C][/ROW]
[ROW][C]0.59[/C][C]63.2067831263102[/C][C]2.37275165881542[/C][/ROW]
[ROW][C]0.6[/C][C]63.6432103242254[/C][C]2.27089911342088[/C][/ROW]
[ROW][C]0.61[/C][C]64.0680149590071[/C][C]2.20149696371276[/C][/ROW]
[ROW][C]0.62[/C][C]64.4874440062803[/C][C]2.17000386431185[/C][/ROW]
[ROW][C]0.63[/C][C]64.908409807577[/C][C]2.17885818946551[/C][/ROW]
[ROW][C]0.64[/C][C]65.3380235799882[/C][C]2.22730106620237[/C][/ROW]
[ROW][C]0.65[/C][C]65.7831173391212[/C][C]2.31170429116855[/C][/ROW]
[ROW][C]0.66[/C][C]66.2497869734722[/C][C]2.42555378285457[/C][/ROW]
[ROW][C]0.67[/C][C]66.7429895269213[/C][C]2.56039989596266[/C][/ROW]
[ROW][C]0.68[/C][C]67.2662289560656[/C][C]2.70672264772975[/C][/ROW]
[ROW][C]0.69[/C][C]67.8213647694764[/C][C]2.85437129008329[/C][/ROW]
[ROW][C]0.7[/C][C]68.4085742291278[/C][C]2.99368058263148[/C][/ROW]
[ROW][C]0.71[/C][C]69.0264888733012[/C][C]3.11636742134147[/C][/ROW]
[ROW][C]0.72[/C][C]69.6725092589611[/C][C]3.21645166178404[/C][/ROW]
[ROW][C]0.73[/C][C]70.3432792435016[/C][C]3.29114685995721[/C][/ROW]
[ROW][C]0.74[/C][C]71.0352756146421[/C][C]3.34068599696516[/C][/ROW]
[ROW][C]0.75[/C][C]71.7454440470219[/C][C]3.36886927831871[/C][/ROW]
[ROW][C]0.76[/C][C]72.4717923616662[/C][C]3.38227631050745[/C][/ROW]
[ROW][C]0.77[/C][C]73.2138421107184[/C][C]3.38972426734888[/C][/ROW]
[ROW][C]0.78[/C][C]73.9728467155751[/C][C]3.40045867446278[/C][/ROW]
[ROW][C]0.79[/C][C]74.7517172290223[/C][C]3.4228240616754[/C][/ROW]
[ROW][C]0.8[/C][C]75.554661435778[/C][C]3.4622785054941[/C][/ROW]
[ROW][C]0.81[/C][C]76.3866351392248[/C][C]3.51983973894342[/C][/ROW]
[ROW][C]0.82[/C][C]77.2528054609821[/C][C]3.59201221214644[/C][/ROW]
[ROW][C]0.83[/C][C]78.1582943446468[/C][C]3.67247661748678[/C][/ROW]
[ROW][C]0.84[/C][C]79.1084556075819[/C][C]3.75549319822355[/C][/ROW]
[ROW][C]0.85[/C][C]80.1098044003167[/C][C]3.84040737702036[/C][/ROW]
[ROW][C]0.86[/C][C]81.17147363849[/C][C]3.93460418241417[/C][/ROW]
[ROW][C]0.87[/C][C]82.306796812216[/C][C]4.0532967540439[/C][/ROW]
[ROW][C]0.88[/C][C]83.5344522125328[/C][C]4.21518784282343[/C][/ROW]
[ROW][C]0.89[/C][C]84.8787104115705[/C][C]4.43402617155388[/C][/ROW]
[ROW][C]0.9[/C][C]86.3688252589108[/C][C]4.71146293970592[/C][/ROW]
[ROW][C]0.91[/C][C]88.038583063697[/C][C]5.03493087723963[/C][/ROW]
[ROW][C]0.92[/C][C]89.9287279017486[/C][C]5.38456491932842[/C][/ROW]
[ROW][C]0.93[/C][C]92.0982763692821[/C][C]5.7495336248169[/C][/ROW]
[ROW][C]0.94[/C][C]94.6568100438308[/C][C]6.15698443032935[/C][/ROW]
[ROW][C]0.95[/C][C]97.8349384776135[/C][C]6.73097761370699[/C][/ROW]
[ROW][C]0.96[/C][C]102.08776564275[/C][C]7.82461243771783[/C][/ROW]
[ROW][C]0.97[/C][C]108.107771186839[/C][C]10.1852931231302[/C][/ROW]
[ROW][C]0.98[/C][C]116.377372293356[/C][C]14.6293110712016[/C][/ROW]
[ROW][C]0.99[/C][C]125.889838555784[/C][C]20.7109783884033[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277057&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277057&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
0.0127.56908825981331.6385466690898
0.0228.41123119186561.44354504949424
0.0329.31338734750991.62848751359658
0.0430.2189176549181.95559122597627
0.0531.1305904306022.1911016050147
0.0632.03966300418712.288453837595
0.0732.92450785966712.30061231035631
0.0833.76895798323442.29464320237957
0.0934.57027875178932.30907006324377
0.135.33606104561412.35263064669906
0.1136.07805153032492.42183499353504
0.1236.80785672389142.51423851446039
0.1337.53514467793242.62928929840217
0.1438.26709714782632.7630599653238
0.1539.0080185978552.90405122875591
0.1639.75883279861133.03421057873864
0.1740.51678190700913.1340091638319
0.1841.27572788277623.18789742861883
0.1942.02719459370963.18824211527269
0.242.76195110199753.13716446986056
0.2143.47172173093.04516968121046
0.2244.1505851066222.9286356451736
0.2344.79575615739292.80578836843401
0.2445.40764823224572.69317128041987
0.2545.98930571247782.60261649578043
0.2646.54542861882262.53923227292965
0.2747.08126189600932.50154213851942
0.2847.60160159903342.48301054646131
0.2948.11010050301542.47428548469233
0.348.60896275758742.46608446930564
0.3149.09902423537562.45143455814881
0.3249.58013937873222.42669396088395
0.3350.05174714763892.39226694670879
0.3450.51347222871732.35223368700991
0.3550.96563129950732.313429306536
0.3651.40955122988182.28383043582942
0.3751.84765640179322.27121426948055
0.3852.28333395237052.28129132232064
0.3952.72062763005782.3167558442246
0.453.16383529632462.37732540565944
0.4153.6170890592812.45972963819785
0.4254.08398307415322.55903601464881
0.4354.56728889729672.66941840695077
0.4455.06877062500912.78470637720713
0.4555.58908990756072.89892362258134
0.4656.12777943643253.00620500815401
0.4756.68326375656573.10098095529189
0.4857.25291548956763.17776771994243
0.4957.83314794697753.23140015845969
0.558.41955572537483.25752028089443
0.5159.00711857912093.25264518641593
0.5259.59047870130133.2151168410034
0.5360.16428865541533.14539766681233
0.5460.72361031194373.0464390068825
0.5561.26432927760752.92376226306747
0.5661.78353918581582.78511159834672
0.5762.27984884752722.64001995048009
0.5862.7535730977632.49905947955052
0.5963.20678312631022.37275165881542
0.663.64321032422542.27089911342088
0.6164.06801495900712.20149696371276
0.6264.48744400628032.17000386431185
0.6364.9084098075772.17885818946551
0.6465.33802357998822.22730106620237
0.6565.78311733912122.31170429116855
0.6666.24978697347222.42555378285457
0.6766.74298952692132.56039989596266
0.6867.26622895606562.70672264772975
0.6967.82136476947642.85437129008329
0.768.40857422912782.99368058263148
0.7169.02648887330123.11636742134147
0.7269.67250925896113.21645166178404
0.7370.34327924350163.29114685995721
0.7471.03527561464213.34068599696516
0.7571.74544404702193.36886927831871
0.7672.47179236166623.38227631050745
0.7773.21384211071843.38972426734888
0.7873.97284671557513.40045867446278
0.7974.75171722902233.4228240616754
0.875.5546614357783.4622785054941
0.8176.38663513922483.51983973894342
0.8277.25280546098213.59201221214644
0.8378.15829434464683.67247661748678
0.8479.10845560758193.75549319822355
0.8580.10980440031673.84040737702036
0.8681.171473638493.93460418241417
0.8782.3067968122164.0532967540439
0.8883.53445221253284.21518784282343
0.8984.87871041157054.43402617155388
0.986.36882525891084.71146293970592
0.9188.0385830636975.03493087723963
0.9289.92872790174865.38456491932842
0.9392.09827636928215.7495336248169
0.9494.65681004383086.15698443032935
0.9597.83493847761356.73097761370699
0.96102.087765642757.82461243771783
0.97108.10777118683910.1852931231302
0.98116.37737229335614.6293110712016
0.99125.88983855578420.7109783884033


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')