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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 07 Oct 2014 17:55:16 +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/2014/Oct/07/t1412701285y4q3u74n69p6qr5.htm/, Retrieved Fri, 10 May 2024 09:53:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239258, Retrieved Fri, 10 May 2024 09:53:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsTessa Bertels
Estimated Impact115

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] [] [2014-10-07 16:55:16] [929039938a2aac5a4cd000b15aa01fe0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
44.91
44.86
44.76
44.89
44.89
45
45.01
45.11
45.05
44.67
44.48
44.48
44.48
44.58
44.79
44.79
44.41
44.41
44.44
44.43
44.36
44.39
44.39
44.41
44.32
44.43
44.82
44.97
44.91
44.79
44.76
44.8
44.65
44.49
44.56
44.4
44.45
44.46
44.39
44.5
44.44
44.41
44.4
44.42
44.49
44.46
44.49
44.5
44.5
44.5
44.55
44.53
44.49
44.49
44.62
44.59
44.56
44.57
44.04
44.06
44.07
44.1
44.21
44.48
44.51
44.24
44.25
44.27
44.45
44.39
44.23
44.23

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239258&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239258&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239258&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0144.04751068258080.0208543077315782
0.0244.061256057540.0297098003746996
0.0344.08009377848970.0449676235598182
0.0444.10314757686920.0592531833753103
0.0544.12895822029750.067281049215402
0.0644.1554012420510.0677142536062887
0.0744.18045338761080.062758873866818
0.0844.20292251341480.0561318599443214
0.0944.22264369333580.0513428804800611
0.144.24019733979880.0500294745496127
0.1144.25644128468160.0516703960217353
0.1244.27211169476550.0546907317585342
0.1344.28760960416110.0573453232842056
0.1444.30297077770760.0585115426133467
0.1544.31795668999440.0575584240959969
0.1644.33219446592130.0545132440070635
0.1744.34531016293110.0497891696695685
0.1844.35702386467850.0439757443159357
0.1944.36719656451610.0378379875418916
0.244.37583392878380.0319150735932283
0.2144.38306017476870.0267474324188941
0.2244.38907741901170.0224871620472339
0.2344.39412366403890.0192922675836309
0.2444.39843812769620.017129045163953
0.2544.40223776467770.0158317733744024
0.2644.40570492918140.0151930990666365
0.2744.40898380265630.0150992723599612
0.2844.41218243009910.0153091232169398
0.2944.41537752905970.015834718153255
0.344.41862008554740.0164437343450315
0.3144.42194065025360.0171131662691719
0.3244.42535391697780.0178053988623564
0.3344.42886252647310.018431369877841
0.3444.43246015692260.0190054264772884
0.3544.4361339569910.0195016754443037
0.3644.43986635611370.0198545769914303
0.3744.44363630680770.0201155770707772
0.3844.44742007873010.0201983732398502
0.3944.45119180151530.0201704015464865
0.444.45492400118180.0200024367440979
0.4144.45858836420090.0196332358881029
0.4244.46215688986940.019118101817725
0.4344.46560347502420.0184502944075596
0.4444.46890584923160.0176263647354969
0.4544.4720476779890.0167256563868031
0.4644.47502059977680.0157559356315891
0.4744.47782596613940.0148165746225463
0.4844.48047610126220.013951223767413
0.4944.48299496642870.0132465841763817
0.544.48541818077070.0127786469011909
0.5144.4877923952780.0125547976477844
0.5244.49017403756620.0127091489523575
0.5344.49262745046850.0132378821684017
0.5444.49522245895750.0142017629950606
0.5544.49803144070830.015584056094991
0.5644.50112606127740.0173416706352469
0.5744.50457396296230.0194211409620336
0.5844.50843584066970.0218565087426157
0.5944.51276344983130.0244406660990193
0.644.51759910952490.0271270472366733
0.6144.52297713305960.0299562422195342
0.6244.52892731027150.0328002730068845
0.6344.53548009882770.0356978088507846
0.6444.5426726295870.0387054336098698
0.6544.5505541169240.041953489214178
0.6644.55918894016480.0455188083601879
0.6744.56865567183080.0494528838718129
0.6844.57904077121150.0538525685648827
0.6944.59042655514780.0586777597709449
0.744.602874313150.0637262013930942
0.7144.61640485012780.0688448360017598
0.7244.63098001934790.0735412323756591
0.7344.6464895969580.0775025405520364
0.7444.66274780501940.0802736986151774
0.7544.67950267229730.0815287455442282
0.7644.69645919576460.0811048107120467
0.7744.71331418989420.0790014626986209
0.7844.72979737858140.0754901220338403
0.7944.74571057452980.0709621607221234
0.844.76095570133530.0660485645481911
0.8144.77554378015440.0613526560445674
0.8244.78958114446660.057392049264485
0.8344.80323552851950.0544815843331031
0.8444.81669172593860.0525977632275215
0.8544.83011174824690.0514314678964108
0.8644.84361499301610.0505134906346214
0.8744.85728774517140.0495395562863329
0.8844.87121847324770.0484523024804263
0.8944.88553962858090.0475386466999792
0.944.90044608478160.0471929805775148
0.9144.91616556429150.0476291980546472
0.9244.93288486472540.0485644890879036
0.9344.95068256373760.0490927547225738
0.9444.96955848853060.0483133158131175
0.9544.98963444471960.0461137000063606
0.9645.0114622099810.0437121558215506
0.9745.03604080120970.0433373720622695
0.9845.06369399759460.0466168353508093
0.9945.09124240556180.0531367792551097

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 44.0475106825808 & 0.0208543077315782 \tabularnewline
0.02 & 44.06125605754 & 0.0297098003746996 \tabularnewline
0.03 & 44.0800937784897 & 0.0449676235598182 \tabularnewline
0.04 & 44.1031475768692 & 0.0592531833753103 \tabularnewline
0.05 & 44.1289582202975 & 0.067281049215402 \tabularnewline
0.06 & 44.155401242051 & 0.0677142536062887 \tabularnewline
0.07 & 44.1804533876108 & 0.062758873866818 \tabularnewline
0.08 & 44.2029225134148 & 0.0561318599443214 \tabularnewline
0.09 & 44.2226436933358 & 0.0513428804800611 \tabularnewline
0.1 & 44.2401973397988 & 0.0500294745496127 \tabularnewline
0.11 & 44.2564412846816 & 0.0516703960217353 \tabularnewline
0.12 & 44.2721116947655 & 0.0546907317585342 \tabularnewline
0.13 & 44.2876096041611 & 0.0573453232842056 \tabularnewline
0.14 & 44.3029707777076 & 0.0585115426133467 \tabularnewline
0.15 & 44.3179566899944 & 0.0575584240959969 \tabularnewline
0.16 & 44.3321944659213 & 0.0545132440070635 \tabularnewline
0.17 & 44.3453101629311 & 0.0497891696695685 \tabularnewline
0.18 & 44.3570238646785 & 0.0439757443159357 \tabularnewline
0.19 & 44.3671965645161 & 0.0378379875418916 \tabularnewline
0.2 & 44.3758339287838 & 0.0319150735932283 \tabularnewline
0.21 & 44.3830601747687 & 0.0267474324188941 \tabularnewline
0.22 & 44.3890774190117 & 0.0224871620472339 \tabularnewline
0.23 & 44.3941236640389 & 0.0192922675836309 \tabularnewline
0.24 & 44.3984381276962 & 0.017129045163953 \tabularnewline
0.25 & 44.4022377646777 & 0.0158317733744024 \tabularnewline
0.26 & 44.4057049291814 & 0.0151930990666365 \tabularnewline
0.27 & 44.4089838026563 & 0.0150992723599612 \tabularnewline
0.28 & 44.4121824300991 & 0.0153091232169398 \tabularnewline
0.29 & 44.4153775290597 & 0.015834718153255 \tabularnewline
0.3 & 44.4186200855474 & 0.0164437343450315 \tabularnewline
0.31 & 44.4219406502536 & 0.0171131662691719 \tabularnewline
0.32 & 44.4253539169778 & 0.0178053988623564 \tabularnewline
0.33 & 44.4288625264731 & 0.018431369877841 \tabularnewline
0.34 & 44.4324601569226 & 0.0190054264772884 \tabularnewline
0.35 & 44.436133956991 & 0.0195016754443037 \tabularnewline
0.36 & 44.4398663561137 & 0.0198545769914303 \tabularnewline
0.37 & 44.4436363068077 & 0.0201155770707772 \tabularnewline
0.38 & 44.4474200787301 & 0.0201983732398502 \tabularnewline
0.39 & 44.4511918015153 & 0.0201704015464865 \tabularnewline
0.4 & 44.4549240011818 & 0.0200024367440979 \tabularnewline
0.41 & 44.4585883642009 & 0.0196332358881029 \tabularnewline
0.42 & 44.4621568898694 & 0.019118101817725 \tabularnewline
0.43 & 44.4656034750242 & 0.0184502944075596 \tabularnewline
0.44 & 44.4689058492316 & 0.0176263647354969 \tabularnewline
0.45 & 44.472047677989 & 0.0167256563868031 \tabularnewline
0.46 & 44.4750205997768 & 0.0157559356315891 \tabularnewline
0.47 & 44.4778259661394 & 0.0148165746225463 \tabularnewline
0.48 & 44.4804761012622 & 0.013951223767413 \tabularnewline
0.49 & 44.4829949664287 & 0.0132465841763817 \tabularnewline
0.5 & 44.4854181807707 & 0.0127786469011909 \tabularnewline
0.51 & 44.487792395278 & 0.0125547976477844 \tabularnewline
0.52 & 44.4901740375662 & 0.0127091489523575 \tabularnewline
0.53 & 44.4926274504685 & 0.0132378821684017 \tabularnewline
0.54 & 44.4952224589575 & 0.0142017629950606 \tabularnewline
0.55 & 44.4980314407083 & 0.015584056094991 \tabularnewline
0.56 & 44.5011260612774 & 0.0173416706352469 \tabularnewline
0.57 & 44.5045739629623 & 0.0194211409620336 \tabularnewline
0.58 & 44.5084358406697 & 0.0218565087426157 \tabularnewline
0.59 & 44.5127634498313 & 0.0244406660990193 \tabularnewline
0.6 & 44.5175991095249 & 0.0271270472366733 \tabularnewline
0.61 & 44.5229771330596 & 0.0299562422195342 \tabularnewline
0.62 & 44.5289273102715 & 0.0328002730068845 \tabularnewline
0.63 & 44.5354800988277 & 0.0356978088507846 \tabularnewline
0.64 & 44.542672629587 & 0.0387054336098698 \tabularnewline
0.65 & 44.550554116924 & 0.041953489214178 \tabularnewline
0.66 & 44.5591889401648 & 0.0455188083601879 \tabularnewline
0.67 & 44.5686556718308 & 0.0494528838718129 \tabularnewline
0.68 & 44.5790407712115 & 0.0538525685648827 \tabularnewline
0.69 & 44.5904265551478 & 0.0586777597709449 \tabularnewline
0.7 & 44.60287431315 & 0.0637262013930942 \tabularnewline
0.71 & 44.6164048501278 & 0.0688448360017598 \tabularnewline
0.72 & 44.6309800193479 & 0.0735412323756591 \tabularnewline
0.73 & 44.646489596958 & 0.0775025405520364 \tabularnewline
0.74 & 44.6627478050194 & 0.0802736986151774 \tabularnewline
0.75 & 44.6795026722973 & 0.0815287455442282 \tabularnewline
0.76 & 44.6964591957646 & 0.0811048107120467 \tabularnewline
0.77 & 44.7133141898942 & 0.0790014626986209 \tabularnewline
0.78 & 44.7297973785814 & 0.0754901220338403 \tabularnewline
0.79 & 44.7457105745298 & 0.0709621607221234 \tabularnewline
0.8 & 44.7609557013353 & 0.0660485645481911 \tabularnewline
0.81 & 44.7755437801544 & 0.0613526560445674 \tabularnewline
0.82 & 44.7895811444666 & 0.057392049264485 \tabularnewline
0.83 & 44.8032355285195 & 0.0544815843331031 \tabularnewline
0.84 & 44.8166917259386 & 0.0525977632275215 \tabularnewline
0.85 & 44.8301117482469 & 0.0514314678964108 \tabularnewline
0.86 & 44.8436149930161 & 0.0505134906346214 \tabularnewline
0.87 & 44.8572877451714 & 0.0495395562863329 \tabularnewline
0.88 & 44.8712184732477 & 0.0484523024804263 \tabularnewline
0.89 & 44.8855396285809 & 0.0475386466999792 \tabularnewline
0.9 & 44.9004460847816 & 0.0471929805775148 \tabularnewline
0.91 & 44.9161655642915 & 0.0476291980546472 \tabularnewline
0.92 & 44.9328848647254 & 0.0485644890879036 \tabularnewline
0.93 & 44.9506825637376 & 0.0490927547225738 \tabularnewline
0.94 & 44.9695584885306 & 0.0483133158131175 \tabularnewline
0.95 & 44.9896344447196 & 0.0461137000063606 \tabularnewline
0.96 & 45.011462209981 & 0.0437121558215506 \tabularnewline
0.97 & 45.0360408012097 & 0.0433373720622695 \tabularnewline
0.98 & 45.0636939975946 & 0.0466168353508093 \tabularnewline
0.99 & 45.0912424055618 & 0.0531367792551097 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239258&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]44.0475106825808[/C][C]0.0208543077315782[/C][/ROW]
[ROW][C]0.02[/C][C]44.06125605754[/C][C]0.0297098003746996[/C][/ROW]
[ROW][C]0.03[/C][C]44.0800937784897[/C][C]0.0449676235598182[/C][/ROW]
[ROW][C]0.04[/C][C]44.1031475768692[/C][C]0.0592531833753103[/C][/ROW]
[ROW][C]0.05[/C][C]44.1289582202975[/C][C]0.067281049215402[/C][/ROW]
[ROW][C]0.06[/C][C]44.155401242051[/C][C]0.0677142536062887[/C][/ROW]
[ROW][C]0.07[/C][C]44.1804533876108[/C][C]0.062758873866818[/C][/ROW]
[ROW][C]0.08[/C][C]44.2029225134148[/C][C]0.0561318599443214[/C][/ROW]
[ROW][C]0.09[/C][C]44.2226436933358[/C][C]0.0513428804800611[/C][/ROW]
[ROW][C]0.1[/C][C]44.2401973397988[/C][C]0.0500294745496127[/C][/ROW]
[ROW][C]0.11[/C][C]44.2564412846816[/C][C]0.0516703960217353[/C][/ROW]
[ROW][C]0.12[/C][C]44.2721116947655[/C][C]0.0546907317585342[/C][/ROW]
[ROW][C]0.13[/C][C]44.2876096041611[/C][C]0.0573453232842056[/C][/ROW]
[ROW][C]0.14[/C][C]44.3029707777076[/C][C]0.0585115426133467[/C][/ROW]
[ROW][C]0.15[/C][C]44.3179566899944[/C][C]0.0575584240959969[/C][/ROW]
[ROW][C]0.16[/C][C]44.3321944659213[/C][C]0.0545132440070635[/C][/ROW]
[ROW][C]0.17[/C][C]44.3453101629311[/C][C]0.0497891696695685[/C][/ROW]
[ROW][C]0.18[/C][C]44.3570238646785[/C][C]0.0439757443159357[/C][/ROW]
[ROW][C]0.19[/C][C]44.3671965645161[/C][C]0.0378379875418916[/C][/ROW]
[ROW][C]0.2[/C][C]44.3758339287838[/C][C]0.0319150735932283[/C][/ROW]
[ROW][C]0.21[/C][C]44.3830601747687[/C][C]0.0267474324188941[/C][/ROW]
[ROW][C]0.22[/C][C]44.3890774190117[/C][C]0.0224871620472339[/C][/ROW]
[ROW][C]0.23[/C][C]44.3941236640389[/C][C]0.0192922675836309[/C][/ROW]
[ROW][C]0.24[/C][C]44.3984381276962[/C][C]0.017129045163953[/C][/ROW]
[ROW][C]0.25[/C][C]44.4022377646777[/C][C]0.0158317733744024[/C][/ROW]
[ROW][C]0.26[/C][C]44.4057049291814[/C][C]0.0151930990666365[/C][/ROW]
[ROW][C]0.27[/C][C]44.4089838026563[/C][C]0.0150992723599612[/C][/ROW]
[ROW][C]0.28[/C][C]44.4121824300991[/C][C]0.0153091232169398[/C][/ROW]
[ROW][C]0.29[/C][C]44.4153775290597[/C][C]0.015834718153255[/C][/ROW]
[ROW][C]0.3[/C][C]44.4186200855474[/C][C]0.0164437343450315[/C][/ROW]
[ROW][C]0.31[/C][C]44.4219406502536[/C][C]0.0171131662691719[/C][/ROW]
[ROW][C]0.32[/C][C]44.4253539169778[/C][C]0.0178053988623564[/C][/ROW]
[ROW][C]0.33[/C][C]44.4288625264731[/C][C]0.018431369877841[/C][/ROW]
[ROW][C]0.34[/C][C]44.4324601569226[/C][C]0.0190054264772884[/C][/ROW]
[ROW][C]0.35[/C][C]44.436133956991[/C][C]0.0195016754443037[/C][/ROW]
[ROW][C]0.36[/C][C]44.4398663561137[/C][C]0.0198545769914303[/C][/ROW]
[ROW][C]0.37[/C][C]44.4436363068077[/C][C]0.0201155770707772[/C][/ROW]
[ROW][C]0.38[/C][C]44.4474200787301[/C][C]0.0201983732398502[/C][/ROW]
[ROW][C]0.39[/C][C]44.4511918015153[/C][C]0.0201704015464865[/C][/ROW]
[ROW][C]0.4[/C][C]44.4549240011818[/C][C]0.0200024367440979[/C][/ROW]
[ROW][C]0.41[/C][C]44.4585883642009[/C][C]0.0196332358881029[/C][/ROW]
[ROW][C]0.42[/C][C]44.4621568898694[/C][C]0.019118101817725[/C][/ROW]
[ROW][C]0.43[/C][C]44.4656034750242[/C][C]0.0184502944075596[/C][/ROW]
[ROW][C]0.44[/C][C]44.4689058492316[/C][C]0.0176263647354969[/C][/ROW]
[ROW][C]0.45[/C][C]44.472047677989[/C][C]0.0167256563868031[/C][/ROW]
[ROW][C]0.46[/C][C]44.4750205997768[/C][C]0.0157559356315891[/C][/ROW]
[ROW][C]0.47[/C][C]44.4778259661394[/C][C]0.0148165746225463[/C][/ROW]
[ROW][C]0.48[/C][C]44.4804761012622[/C][C]0.013951223767413[/C][/ROW]
[ROW][C]0.49[/C][C]44.4829949664287[/C][C]0.0132465841763817[/C][/ROW]
[ROW][C]0.5[/C][C]44.4854181807707[/C][C]0.0127786469011909[/C][/ROW]
[ROW][C]0.51[/C][C]44.487792395278[/C][C]0.0125547976477844[/C][/ROW]
[ROW][C]0.52[/C][C]44.4901740375662[/C][C]0.0127091489523575[/C][/ROW]
[ROW][C]0.53[/C][C]44.4926274504685[/C][C]0.0132378821684017[/C][/ROW]
[ROW][C]0.54[/C][C]44.4952224589575[/C][C]0.0142017629950606[/C][/ROW]
[ROW][C]0.55[/C][C]44.4980314407083[/C][C]0.015584056094991[/C][/ROW]
[ROW][C]0.56[/C][C]44.5011260612774[/C][C]0.0173416706352469[/C][/ROW]
[ROW][C]0.57[/C][C]44.5045739629623[/C][C]0.0194211409620336[/C][/ROW]
[ROW][C]0.58[/C][C]44.5084358406697[/C][C]0.0218565087426157[/C][/ROW]
[ROW][C]0.59[/C][C]44.5127634498313[/C][C]0.0244406660990193[/C][/ROW]
[ROW][C]0.6[/C][C]44.5175991095249[/C][C]0.0271270472366733[/C][/ROW]
[ROW][C]0.61[/C][C]44.5229771330596[/C][C]0.0299562422195342[/C][/ROW]
[ROW][C]0.62[/C][C]44.5289273102715[/C][C]0.0328002730068845[/C][/ROW]
[ROW][C]0.63[/C][C]44.5354800988277[/C][C]0.0356978088507846[/C][/ROW]
[ROW][C]0.64[/C][C]44.542672629587[/C][C]0.0387054336098698[/C][/ROW]
[ROW][C]0.65[/C][C]44.550554116924[/C][C]0.041953489214178[/C][/ROW]
[ROW][C]0.66[/C][C]44.5591889401648[/C][C]0.0455188083601879[/C][/ROW]
[ROW][C]0.67[/C][C]44.5686556718308[/C][C]0.0494528838718129[/C][/ROW]
[ROW][C]0.68[/C][C]44.5790407712115[/C][C]0.0538525685648827[/C][/ROW]
[ROW][C]0.69[/C][C]44.5904265551478[/C][C]0.0586777597709449[/C][/ROW]
[ROW][C]0.7[/C][C]44.60287431315[/C][C]0.0637262013930942[/C][/ROW]
[ROW][C]0.71[/C][C]44.6164048501278[/C][C]0.0688448360017598[/C][/ROW]
[ROW][C]0.72[/C][C]44.6309800193479[/C][C]0.0735412323756591[/C][/ROW]
[ROW][C]0.73[/C][C]44.646489596958[/C][C]0.0775025405520364[/C][/ROW]
[ROW][C]0.74[/C][C]44.6627478050194[/C][C]0.0802736986151774[/C][/ROW]
[ROW][C]0.75[/C][C]44.6795026722973[/C][C]0.0815287455442282[/C][/ROW]
[ROW][C]0.76[/C][C]44.6964591957646[/C][C]0.0811048107120467[/C][/ROW]
[ROW][C]0.77[/C][C]44.7133141898942[/C][C]0.0790014626986209[/C][/ROW]
[ROW][C]0.78[/C][C]44.7297973785814[/C][C]0.0754901220338403[/C][/ROW]
[ROW][C]0.79[/C][C]44.7457105745298[/C][C]0.0709621607221234[/C][/ROW]
[ROW][C]0.8[/C][C]44.7609557013353[/C][C]0.0660485645481911[/C][/ROW]
[ROW][C]0.81[/C][C]44.7755437801544[/C][C]0.0613526560445674[/C][/ROW]
[ROW][C]0.82[/C][C]44.7895811444666[/C][C]0.057392049264485[/C][/ROW]
[ROW][C]0.83[/C][C]44.8032355285195[/C][C]0.0544815843331031[/C][/ROW]
[ROW][C]0.84[/C][C]44.8166917259386[/C][C]0.0525977632275215[/C][/ROW]
[ROW][C]0.85[/C][C]44.8301117482469[/C][C]0.0514314678964108[/C][/ROW]
[ROW][C]0.86[/C][C]44.8436149930161[/C][C]0.0505134906346214[/C][/ROW]
[ROW][C]0.87[/C][C]44.8572877451714[/C][C]0.0495395562863329[/C][/ROW]
[ROW][C]0.88[/C][C]44.8712184732477[/C][C]0.0484523024804263[/C][/ROW]
[ROW][C]0.89[/C][C]44.8855396285809[/C][C]0.0475386466999792[/C][/ROW]
[ROW][C]0.9[/C][C]44.9004460847816[/C][C]0.0471929805775148[/C][/ROW]
[ROW][C]0.91[/C][C]44.9161655642915[/C][C]0.0476291980546472[/C][/ROW]
[ROW][C]0.92[/C][C]44.9328848647254[/C][C]0.0485644890879036[/C][/ROW]
[ROW][C]0.93[/C][C]44.9506825637376[/C][C]0.0490927547225738[/C][/ROW]
[ROW][C]0.94[/C][C]44.9695584885306[/C][C]0.0483133158131175[/C][/ROW]
[ROW][C]0.95[/C][C]44.9896344447196[/C][C]0.0461137000063606[/C][/ROW]
[ROW][C]0.96[/C][C]45.011462209981[/C][C]0.0437121558215506[/C][/ROW]
[ROW][C]0.97[/C][C]45.0360408012097[/C][C]0.0433373720622695[/C][/ROW]
[ROW][C]0.98[/C][C]45.0636939975946[/C][C]0.0466168353508093[/C][/ROW]
[ROW][C]0.99[/C][C]45.0912424055618[/C][C]0.0531367792551097[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239258&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239258&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
0.0144.04751068258080.0208543077315782
0.0244.061256057540.0297098003746996
0.0344.08009377848970.0449676235598182
0.0444.10314757686920.0592531833753103
0.0544.12895822029750.067281049215402
0.0644.1554012420510.0677142536062887
0.0744.18045338761080.062758873866818
0.0844.20292251341480.0561318599443214
0.0944.22264369333580.0513428804800611
0.144.24019733979880.0500294745496127
0.1144.25644128468160.0516703960217353
0.1244.27211169476550.0546907317585342
0.1344.28760960416110.0573453232842056
0.1444.30297077770760.0585115426133467
0.1544.31795668999440.0575584240959969
0.1644.33219446592130.0545132440070635
0.1744.34531016293110.0497891696695685
0.1844.35702386467850.0439757443159357
0.1944.36719656451610.0378379875418916
0.244.37583392878380.0319150735932283
0.2144.38306017476870.0267474324188941
0.2244.38907741901170.0224871620472339
0.2344.39412366403890.0192922675836309
0.2444.39843812769620.017129045163953
0.2544.40223776467770.0158317733744024
0.2644.40570492918140.0151930990666365
0.2744.40898380265630.0150992723599612
0.2844.41218243009910.0153091232169398
0.2944.41537752905970.015834718153255
0.344.41862008554740.0164437343450315
0.3144.42194065025360.0171131662691719
0.3244.42535391697780.0178053988623564
0.3344.42886252647310.018431369877841
0.3444.43246015692260.0190054264772884
0.3544.4361339569910.0195016754443037
0.3644.43986635611370.0198545769914303
0.3744.44363630680770.0201155770707772
0.3844.44742007873010.0201983732398502
0.3944.45119180151530.0201704015464865
0.444.45492400118180.0200024367440979
0.4144.45858836420090.0196332358881029
0.4244.46215688986940.019118101817725
0.4344.46560347502420.0184502944075596
0.4444.46890584923160.0176263647354969
0.4544.4720476779890.0167256563868031
0.4644.47502059977680.0157559356315891
0.4744.47782596613940.0148165746225463
0.4844.48047610126220.013951223767413
0.4944.48299496642870.0132465841763817
0.544.48541818077070.0127786469011909
0.5144.4877923952780.0125547976477844
0.5244.49017403756620.0127091489523575
0.5344.49262745046850.0132378821684017
0.5444.49522245895750.0142017629950606
0.5544.49803144070830.015584056094991
0.5644.50112606127740.0173416706352469
0.5744.50457396296230.0194211409620336
0.5844.50843584066970.0218565087426157
0.5944.51276344983130.0244406660990193
0.644.51759910952490.0271270472366733
0.6144.52297713305960.0299562422195342
0.6244.52892731027150.0328002730068845
0.6344.53548009882770.0356978088507846
0.6444.5426726295870.0387054336098698
0.6544.5505541169240.041953489214178
0.6644.55918894016480.0455188083601879
0.6744.56865567183080.0494528838718129
0.6844.57904077121150.0538525685648827
0.6944.59042655514780.0586777597709449
0.744.602874313150.0637262013930942
0.7144.61640485012780.0688448360017598
0.7244.63098001934790.0735412323756591
0.7344.6464895969580.0775025405520364
0.7444.66274780501940.0802736986151774
0.7544.67950267229730.0815287455442282
0.7644.69645919576460.0811048107120467
0.7744.71331418989420.0790014626986209
0.7844.72979737858140.0754901220338403
0.7944.74571057452980.0709621607221234
0.844.76095570133530.0660485645481911
0.8144.77554378015440.0613526560445674
0.8244.78958114446660.057392049264485
0.8344.80323552851950.0544815843331031
0.8444.81669172593860.0525977632275215
0.8544.83011174824690.0514314678964108
0.8644.84361499301610.0505134906346214
0.8744.85728774517140.0495395562863329
0.8844.87121847324770.0484523024804263
0.8944.88553962858090.0475386466999792
0.944.90044608478160.0471929805775148
0.9144.91616556429150.0476291980546472
0.9244.93288486472540.0485644890879036
0.9344.95068256373760.0490927547225738
0.9444.96955848853060.0483133158131175
0.9544.98963444471960.0461137000063606
0.9645.0114622099810.0437121558215506
0.9745.03604080120970.0433373720622695
0.9845.06369399759460.0466168353508093
0.9945.09124240556180.0531367792551097


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')