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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, 18 Oct 2008 08:59:39 -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/2008/Oct/18/t1224342549xhnzgvrvk310iqf.htm/, Retrieved Sat, 18 May 2024 08:56:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16649, Retrieved Sat, 18 May 2024 08:56:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136

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] [opgave 4-oefening...] [2008-10-18 14:59:39] [59eb7d50a05a673a4523845c066501a9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.6
101.8
102.1
102.1
101.9
102.1
102
102.1
102.2
102.3
102.7
102.8
103.1
103.1
103.3
103.5
103.3
103.5
103.8
103.9
103.9
104.2
104.6
104.9
105.2
105.2
105.6
105.6
106.2
106.3
106.4
106.9
107.2
107.3
107.3
107.4
107.55
107.87
108.37
108.38
107.92
108.03
108.14
108.3
108.64
108.66
109.04
109.03
109.03
109.54
109.75
109.83
109.65
109.82
109.95
110.12
110.15
110.2
109.99
110.14
110.14
110.81
110.97
110.99
109.73
109.81
110.02
110.18
110.21
110.25
110.36
110.51
110.64
110.95
111.18
111.19
111.69
111.7
111.83
111.77
111.73
112.01
111.86
112.04

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' @ 193.190.124.24

\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' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16649&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' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16649&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16649&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' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01101.6748863885280.169384567180026
0.02101.7799370750690.143166054636326
0.03101.8760433838050.128701423262797
0.04101.9534815809300.117715312067683
0.05102.0160558505760.110348184687753
0.06102.0704857653100.116745714215053
0.07102.1241978170450.145739890746915
0.08102.1845193664330.195479971514963
0.09102.2572603129420.257338343802818
0.1102.3454305570700.320820059153145
0.11102.448833841060.37616805358006
0.12102.5646292320920.417050647701737
0.13102.6885115933070.441658770600279
0.14102.8160313688850.452015216873156
0.15102.9436590133470.453370571468982
0.16103.0693855592350.452344316111619
0.17103.1928408800510.45493032004986
0.18103.3150426257750.465579466129255
0.19103.4379409351230.486943227666604
0.2103.5639110470260.519317938781243
0.21103.6952991059190.561057735615572
0.22103.8340755608040.609864343029395
0.23103.9816128135050.662502495625151
0.24104.1385824437150.715864626637404
0.25104.3049570364470.766793992556275
0.26104.4800953731660.813057128301472
0.27104.6628838316420.852615277575603
0.28104.8519020124460.884964479014811
0.29105.0455800690250.909588277947593
0.3105.2423214942950.927106726882739
0.31105.4405778288530.937612451955006
0.32105.6388773524420.941474521057643
0.33105.8358231590210.938646483880505
0.34106.0300827199400.929141198758235
0.35106.2203893598270.913049383673872
0.36106.4055674368630.890522392755333
0.37106.5845812189010.862311291639442
0.38106.7565969588660.829561239478322
0.39106.9210419629520.793789338210154
0.4107.0776448676700.756904662805822
0.41107.226446955210.720476684632897
0.42107.3677825508700.686092999150928
0.43107.5022342503840.655145627910862
0.44107.6305734327110.628142634298291
0.45107.7536971340300.605681495583974
0.46107.8725693761230.588102428360354
0.47107.9881701276850.57516366967026
0.48108.1014503423520.566773457527591
0.49108.2132887281150.562713550280003
0.5108.3244459267690.561979110624218
0.51108.4355144231990.563877118269589
0.52108.5468667042130.567261730821863
0.53108.6586084541750.570433416170951
0.54108.7705464580420.571734974360422
0.55108.8821813435510.569504990199905
0.56108.9927329234920.562280092395718
0.57109.1012009774400.548974018380681
0.58109.2064577565540.529381821770695
0.59109.3073617048860.503363508374684
0.6109.4028764961570.472084759604605
0.61109.4921769950460.436871552260192
0.62109.5747251474170.399361846667786
0.63109.6503041779660.361493558925231
0.64109.7190078625490.324847587657966
0.65109.7811911557630.290975488242832
0.66109.8373967263520.260693663773683
0.67109.8882767991260.234115372630865
0.68109.9345297693090.211290687600877
0.69109.9768662342980.192150811948689
0.7110.0160105397880.176185004607130
0.71110.0527337359100.163612668957943
0.72110.0879043853460.155096590340741
0.73110.1225371027460.151054244650856
0.74110.1578165375250.152760805942113
0.75110.1950774945120.160831654411402
0.76110.2357300857630.175381782743406
0.77110.2811316305470.195661754678543
0.78110.3324230184930.219898326055111
0.79110.3903636636900.245901015863076
0.8110.4552114910720.270868701375346
0.81110.5266964390110.292259599489495
0.82110.6041212085340.308237666281350
0.83110.6865875438270.318382008621180
0.84110.7732933846850.323354168088205
0.85110.8637905365920.325685942176343
0.86110.958061606340.328057744262180
0.87111.0563026189880.331949404569828
0.88111.1584059846930.336321114351588
0.89111.2633111491350.336925575695004
0.9111.3685536713460.327761464293558
0.91111.4703814490350.304079773653557
0.92111.5646286212400.265538650088471
0.93111.6481709386260.217170861172991
0.94111.7204008594880.168547050215766
0.95111.7839381649360.130543859344857
0.96111.8437614566290.110559857420731
0.97111.9041653955950.105082809624136
0.98111.9640474985900.0950115160832995
0.99112.0138004684610.0630213033592926

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.674886388528 & 0.169384567180026 \tabularnewline
0.02 & 101.779937075069 & 0.143166054636326 \tabularnewline
0.03 & 101.876043383805 & 0.128701423262797 \tabularnewline
0.04 & 101.953481580930 & 0.117715312067683 \tabularnewline
0.05 & 102.016055850576 & 0.110348184687753 \tabularnewline
0.06 & 102.070485765310 & 0.116745714215053 \tabularnewline
0.07 & 102.124197817045 & 0.145739890746915 \tabularnewline
0.08 & 102.184519366433 & 0.195479971514963 \tabularnewline
0.09 & 102.257260312942 & 0.257338343802818 \tabularnewline
0.1 & 102.345430557070 & 0.320820059153145 \tabularnewline
0.11 & 102.44883384106 & 0.37616805358006 \tabularnewline
0.12 & 102.564629232092 & 0.417050647701737 \tabularnewline
0.13 & 102.688511593307 & 0.441658770600279 \tabularnewline
0.14 & 102.816031368885 & 0.452015216873156 \tabularnewline
0.15 & 102.943659013347 & 0.453370571468982 \tabularnewline
0.16 & 103.069385559235 & 0.452344316111619 \tabularnewline
0.17 & 103.192840880051 & 0.45493032004986 \tabularnewline
0.18 & 103.315042625775 & 0.465579466129255 \tabularnewline
0.19 & 103.437940935123 & 0.486943227666604 \tabularnewline
0.2 & 103.563911047026 & 0.519317938781243 \tabularnewline
0.21 & 103.695299105919 & 0.561057735615572 \tabularnewline
0.22 & 103.834075560804 & 0.609864343029395 \tabularnewline
0.23 & 103.981612813505 & 0.662502495625151 \tabularnewline
0.24 & 104.138582443715 & 0.715864626637404 \tabularnewline
0.25 & 104.304957036447 & 0.766793992556275 \tabularnewline
0.26 & 104.480095373166 & 0.813057128301472 \tabularnewline
0.27 & 104.662883831642 & 0.852615277575603 \tabularnewline
0.28 & 104.851902012446 & 0.884964479014811 \tabularnewline
0.29 & 105.045580069025 & 0.909588277947593 \tabularnewline
0.3 & 105.242321494295 & 0.927106726882739 \tabularnewline
0.31 & 105.440577828853 & 0.937612451955006 \tabularnewline
0.32 & 105.638877352442 & 0.941474521057643 \tabularnewline
0.33 & 105.835823159021 & 0.938646483880505 \tabularnewline
0.34 & 106.030082719940 & 0.929141198758235 \tabularnewline
0.35 & 106.220389359827 & 0.913049383673872 \tabularnewline
0.36 & 106.405567436863 & 0.890522392755333 \tabularnewline
0.37 & 106.584581218901 & 0.862311291639442 \tabularnewline
0.38 & 106.756596958866 & 0.829561239478322 \tabularnewline
0.39 & 106.921041962952 & 0.793789338210154 \tabularnewline
0.4 & 107.077644867670 & 0.756904662805822 \tabularnewline
0.41 & 107.22644695521 & 0.720476684632897 \tabularnewline
0.42 & 107.367782550870 & 0.686092999150928 \tabularnewline
0.43 & 107.502234250384 & 0.655145627910862 \tabularnewline
0.44 & 107.630573432711 & 0.628142634298291 \tabularnewline
0.45 & 107.753697134030 & 0.605681495583974 \tabularnewline
0.46 & 107.872569376123 & 0.588102428360354 \tabularnewline
0.47 & 107.988170127685 & 0.57516366967026 \tabularnewline
0.48 & 108.101450342352 & 0.566773457527591 \tabularnewline
0.49 & 108.213288728115 & 0.562713550280003 \tabularnewline
0.5 & 108.324445926769 & 0.561979110624218 \tabularnewline
0.51 & 108.435514423199 & 0.563877118269589 \tabularnewline
0.52 & 108.546866704213 & 0.567261730821863 \tabularnewline
0.53 & 108.658608454175 & 0.570433416170951 \tabularnewline
0.54 & 108.770546458042 & 0.571734974360422 \tabularnewline
0.55 & 108.882181343551 & 0.569504990199905 \tabularnewline
0.56 & 108.992732923492 & 0.562280092395718 \tabularnewline
0.57 & 109.101200977440 & 0.548974018380681 \tabularnewline
0.58 & 109.206457756554 & 0.529381821770695 \tabularnewline
0.59 & 109.307361704886 & 0.503363508374684 \tabularnewline
0.6 & 109.402876496157 & 0.472084759604605 \tabularnewline
0.61 & 109.492176995046 & 0.436871552260192 \tabularnewline
0.62 & 109.574725147417 & 0.399361846667786 \tabularnewline
0.63 & 109.650304177966 & 0.361493558925231 \tabularnewline
0.64 & 109.719007862549 & 0.324847587657966 \tabularnewline
0.65 & 109.781191155763 & 0.290975488242832 \tabularnewline
0.66 & 109.837396726352 & 0.260693663773683 \tabularnewline
0.67 & 109.888276799126 & 0.234115372630865 \tabularnewline
0.68 & 109.934529769309 & 0.211290687600877 \tabularnewline
0.69 & 109.976866234298 & 0.192150811948689 \tabularnewline
0.7 & 110.016010539788 & 0.176185004607130 \tabularnewline
0.71 & 110.052733735910 & 0.163612668957943 \tabularnewline
0.72 & 110.087904385346 & 0.155096590340741 \tabularnewline
0.73 & 110.122537102746 & 0.151054244650856 \tabularnewline
0.74 & 110.157816537525 & 0.152760805942113 \tabularnewline
0.75 & 110.195077494512 & 0.160831654411402 \tabularnewline
0.76 & 110.235730085763 & 0.175381782743406 \tabularnewline
0.77 & 110.281131630547 & 0.195661754678543 \tabularnewline
0.78 & 110.332423018493 & 0.219898326055111 \tabularnewline
0.79 & 110.390363663690 & 0.245901015863076 \tabularnewline
0.8 & 110.455211491072 & 0.270868701375346 \tabularnewline
0.81 & 110.526696439011 & 0.292259599489495 \tabularnewline
0.82 & 110.604121208534 & 0.308237666281350 \tabularnewline
0.83 & 110.686587543827 & 0.318382008621180 \tabularnewline
0.84 & 110.773293384685 & 0.323354168088205 \tabularnewline
0.85 & 110.863790536592 & 0.325685942176343 \tabularnewline
0.86 & 110.95806160634 & 0.328057744262180 \tabularnewline
0.87 & 111.056302618988 & 0.331949404569828 \tabularnewline
0.88 & 111.158405984693 & 0.336321114351588 \tabularnewline
0.89 & 111.263311149135 & 0.336925575695004 \tabularnewline
0.9 & 111.368553671346 & 0.327761464293558 \tabularnewline
0.91 & 111.470381449035 & 0.304079773653557 \tabularnewline
0.92 & 111.564628621240 & 0.265538650088471 \tabularnewline
0.93 & 111.648170938626 & 0.217170861172991 \tabularnewline
0.94 & 111.720400859488 & 0.168547050215766 \tabularnewline
0.95 & 111.783938164936 & 0.130543859344857 \tabularnewline
0.96 & 111.843761456629 & 0.110559857420731 \tabularnewline
0.97 & 111.904165395595 & 0.105082809624136 \tabularnewline
0.98 & 111.964047498590 & 0.0950115160832995 \tabularnewline
0.99 & 112.013800468461 & 0.0630213033592926 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16649&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]101.674886388528[/C][C]0.169384567180026[/C][/ROW]
[ROW][C]0.02[/C][C]101.779937075069[/C][C]0.143166054636326[/C][/ROW]
[ROW][C]0.03[/C][C]101.876043383805[/C][C]0.128701423262797[/C][/ROW]
[ROW][C]0.04[/C][C]101.953481580930[/C][C]0.117715312067683[/C][/ROW]
[ROW][C]0.05[/C][C]102.016055850576[/C][C]0.110348184687753[/C][/ROW]
[ROW][C]0.06[/C][C]102.070485765310[/C][C]0.116745714215053[/C][/ROW]
[ROW][C]0.07[/C][C]102.124197817045[/C][C]0.145739890746915[/C][/ROW]
[ROW][C]0.08[/C][C]102.184519366433[/C][C]0.195479971514963[/C][/ROW]
[ROW][C]0.09[/C][C]102.257260312942[/C][C]0.257338343802818[/C][/ROW]
[ROW][C]0.1[/C][C]102.345430557070[/C][C]0.320820059153145[/C][/ROW]
[ROW][C]0.11[/C][C]102.44883384106[/C][C]0.37616805358006[/C][/ROW]
[ROW][C]0.12[/C][C]102.564629232092[/C][C]0.417050647701737[/C][/ROW]
[ROW][C]0.13[/C][C]102.688511593307[/C][C]0.441658770600279[/C][/ROW]
[ROW][C]0.14[/C][C]102.816031368885[/C][C]0.452015216873156[/C][/ROW]
[ROW][C]0.15[/C][C]102.943659013347[/C][C]0.453370571468982[/C][/ROW]
[ROW][C]0.16[/C][C]103.069385559235[/C][C]0.452344316111619[/C][/ROW]
[ROW][C]0.17[/C][C]103.192840880051[/C][C]0.45493032004986[/C][/ROW]
[ROW][C]0.18[/C][C]103.315042625775[/C][C]0.465579466129255[/C][/ROW]
[ROW][C]0.19[/C][C]103.437940935123[/C][C]0.486943227666604[/C][/ROW]
[ROW][C]0.2[/C][C]103.563911047026[/C][C]0.519317938781243[/C][/ROW]
[ROW][C]0.21[/C][C]103.695299105919[/C][C]0.561057735615572[/C][/ROW]
[ROW][C]0.22[/C][C]103.834075560804[/C][C]0.609864343029395[/C][/ROW]
[ROW][C]0.23[/C][C]103.981612813505[/C][C]0.662502495625151[/C][/ROW]
[ROW][C]0.24[/C][C]104.138582443715[/C][C]0.715864626637404[/C][/ROW]
[ROW][C]0.25[/C][C]104.304957036447[/C][C]0.766793992556275[/C][/ROW]
[ROW][C]0.26[/C][C]104.480095373166[/C][C]0.813057128301472[/C][/ROW]
[ROW][C]0.27[/C][C]104.662883831642[/C][C]0.852615277575603[/C][/ROW]
[ROW][C]0.28[/C][C]104.851902012446[/C][C]0.884964479014811[/C][/ROW]
[ROW][C]0.29[/C][C]105.045580069025[/C][C]0.909588277947593[/C][/ROW]
[ROW][C]0.3[/C][C]105.242321494295[/C][C]0.927106726882739[/C][/ROW]
[ROW][C]0.31[/C][C]105.440577828853[/C][C]0.937612451955006[/C][/ROW]
[ROW][C]0.32[/C][C]105.638877352442[/C][C]0.941474521057643[/C][/ROW]
[ROW][C]0.33[/C][C]105.835823159021[/C][C]0.938646483880505[/C][/ROW]
[ROW][C]0.34[/C][C]106.030082719940[/C][C]0.929141198758235[/C][/ROW]
[ROW][C]0.35[/C][C]106.220389359827[/C][C]0.913049383673872[/C][/ROW]
[ROW][C]0.36[/C][C]106.405567436863[/C][C]0.890522392755333[/C][/ROW]
[ROW][C]0.37[/C][C]106.584581218901[/C][C]0.862311291639442[/C][/ROW]
[ROW][C]0.38[/C][C]106.756596958866[/C][C]0.829561239478322[/C][/ROW]
[ROW][C]0.39[/C][C]106.921041962952[/C][C]0.793789338210154[/C][/ROW]
[ROW][C]0.4[/C][C]107.077644867670[/C][C]0.756904662805822[/C][/ROW]
[ROW][C]0.41[/C][C]107.22644695521[/C][C]0.720476684632897[/C][/ROW]
[ROW][C]0.42[/C][C]107.367782550870[/C][C]0.686092999150928[/C][/ROW]
[ROW][C]0.43[/C][C]107.502234250384[/C][C]0.655145627910862[/C][/ROW]
[ROW][C]0.44[/C][C]107.630573432711[/C][C]0.628142634298291[/C][/ROW]
[ROW][C]0.45[/C][C]107.753697134030[/C][C]0.605681495583974[/C][/ROW]
[ROW][C]0.46[/C][C]107.872569376123[/C][C]0.588102428360354[/C][/ROW]
[ROW][C]0.47[/C][C]107.988170127685[/C][C]0.57516366967026[/C][/ROW]
[ROW][C]0.48[/C][C]108.101450342352[/C][C]0.566773457527591[/C][/ROW]
[ROW][C]0.49[/C][C]108.213288728115[/C][C]0.562713550280003[/C][/ROW]
[ROW][C]0.5[/C][C]108.324445926769[/C][C]0.561979110624218[/C][/ROW]
[ROW][C]0.51[/C][C]108.435514423199[/C][C]0.563877118269589[/C][/ROW]
[ROW][C]0.52[/C][C]108.546866704213[/C][C]0.567261730821863[/C][/ROW]
[ROW][C]0.53[/C][C]108.658608454175[/C][C]0.570433416170951[/C][/ROW]
[ROW][C]0.54[/C][C]108.770546458042[/C][C]0.571734974360422[/C][/ROW]
[ROW][C]0.55[/C][C]108.882181343551[/C][C]0.569504990199905[/C][/ROW]
[ROW][C]0.56[/C][C]108.992732923492[/C][C]0.562280092395718[/C][/ROW]
[ROW][C]0.57[/C][C]109.101200977440[/C][C]0.548974018380681[/C][/ROW]
[ROW][C]0.58[/C][C]109.206457756554[/C][C]0.529381821770695[/C][/ROW]
[ROW][C]0.59[/C][C]109.307361704886[/C][C]0.503363508374684[/C][/ROW]
[ROW][C]0.6[/C][C]109.402876496157[/C][C]0.472084759604605[/C][/ROW]
[ROW][C]0.61[/C][C]109.492176995046[/C][C]0.436871552260192[/C][/ROW]
[ROW][C]0.62[/C][C]109.574725147417[/C][C]0.399361846667786[/C][/ROW]
[ROW][C]0.63[/C][C]109.650304177966[/C][C]0.361493558925231[/C][/ROW]
[ROW][C]0.64[/C][C]109.719007862549[/C][C]0.324847587657966[/C][/ROW]
[ROW][C]0.65[/C][C]109.781191155763[/C][C]0.290975488242832[/C][/ROW]
[ROW][C]0.66[/C][C]109.837396726352[/C][C]0.260693663773683[/C][/ROW]
[ROW][C]0.67[/C][C]109.888276799126[/C][C]0.234115372630865[/C][/ROW]
[ROW][C]0.68[/C][C]109.934529769309[/C][C]0.211290687600877[/C][/ROW]
[ROW][C]0.69[/C][C]109.976866234298[/C][C]0.192150811948689[/C][/ROW]
[ROW][C]0.7[/C][C]110.016010539788[/C][C]0.176185004607130[/C][/ROW]
[ROW][C]0.71[/C][C]110.052733735910[/C][C]0.163612668957943[/C][/ROW]
[ROW][C]0.72[/C][C]110.087904385346[/C][C]0.155096590340741[/C][/ROW]
[ROW][C]0.73[/C][C]110.122537102746[/C][C]0.151054244650856[/C][/ROW]
[ROW][C]0.74[/C][C]110.157816537525[/C][C]0.152760805942113[/C][/ROW]
[ROW][C]0.75[/C][C]110.195077494512[/C][C]0.160831654411402[/C][/ROW]
[ROW][C]0.76[/C][C]110.235730085763[/C][C]0.175381782743406[/C][/ROW]
[ROW][C]0.77[/C][C]110.281131630547[/C][C]0.195661754678543[/C][/ROW]
[ROW][C]0.78[/C][C]110.332423018493[/C][C]0.219898326055111[/C][/ROW]
[ROW][C]0.79[/C][C]110.390363663690[/C][C]0.245901015863076[/C][/ROW]
[ROW][C]0.8[/C][C]110.455211491072[/C][C]0.270868701375346[/C][/ROW]
[ROW][C]0.81[/C][C]110.526696439011[/C][C]0.292259599489495[/C][/ROW]
[ROW][C]0.82[/C][C]110.604121208534[/C][C]0.308237666281350[/C][/ROW]
[ROW][C]0.83[/C][C]110.686587543827[/C][C]0.318382008621180[/C][/ROW]
[ROW][C]0.84[/C][C]110.773293384685[/C][C]0.323354168088205[/C][/ROW]
[ROW][C]0.85[/C][C]110.863790536592[/C][C]0.325685942176343[/C][/ROW]
[ROW][C]0.86[/C][C]110.95806160634[/C][C]0.328057744262180[/C][/ROW]
[ROW][C]0.87[/C][C]111.056302618988[/C][C]0.331949404569828[/C][/ROW]
[ROW][C]0.88[/C][C]111.158405984693[/C][C]0.336321114351588[/C][/ROW]
[ROW][C]0.89[/C][C]111.263311149135[/C][C]0.336925575695004[/C][/ROW]
[ROW][C]0.9[/C][C]111.368553671346[/C][C]0.327761464293558[/C][/ROW]
[ROW][C]0.91[/C][C]111.470381449035[/C][C]0.304079773653557[/C][/ROW]
[ROW][C]0.92[/C][C]111.564628621240[/C][C]0.265538650088471[/C][/ROW]
[ROW][C]0.93[/C][C]111.648170938626[/C][C]0.217170861172991[/C][/ROW]
[ROW][C]0.94[/C][C]111.720400859488[/C][C]0.168547050215766[/C][/ROW]
[ROW][C]0.95[/C][C]111.783938164936[/C][C]0.130543859344857[/C][/ROW]
[ROW][C]0.96[/C][C]111.843761456629[/C][C]0.110559857420731[/C][/ROW]
[ROW][C]0.97[/C][C]111.904165395595[/C][C]0.105082809624136[/C][/ROW]
[ROW][C]0.98[/C][C]111.964047498590[/C][C]0.0950115160832995[/C][/ROW]
[ROW][C]0.99[/C][C]112.013800468461[/C][C]0.0630213033592926[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16649&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16649&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
0.01101.6748863885280.169384567180026
0.02101.7799370750690.143166054636326
0.03101.8760433838050.128701423262797
0.04101.9534815809300.117715312067683
0.05102.0160558505760.110348184687753
0.06102.0704857653100.116745714215053
0.07102.1241978170450.145739890746915
0.08102.1845193664330.195479971514963
0.09102.2572603129420.257338343802818
0.1102.3454305570700.320820059153145
0.11102.448833841060.37616805358006
0.12102.5646292320920.417050647701737
0.13102.6885115933070.441658770600279
0.14102.8160313688850.452015216873156
0.15102.9436590133470.453370571468982
0.16103.0693855592350.452344316111619
0.17103.1928408800510.45493032004986
0.18103.3150426257750.465579466129255
0.19103.4379409351230.486943227666604
0.2103.5639110470260.519317938781243
0.21103.6952991059190.561057735615572
0.22103.8340755608040.609864343029395
0.23103.9816128135050.662502495625151
0.24104.1385824437150.715864626637404
0.25104.3049570364470.766793992556275
0.26104.4800953731660.813057128301472
0.27104.6628838316420.852615277575603
0.28104.8519020124460.884964479014811
0.29105.0455800690250.909588277947593
0.3105.2423214942950.927106726882739
0.31105.4405778288530.937612451955006
0.32105.6388773524420.941474521057643
0.33105.8358231590210.938646483880505
0.34106.0300827199400.929141198758235
0.35106.2203893598270.913049383673872
0.36106.4055674368630.890522392755333
0.37106.5845812189010.862311291639442
0.38106.7565969588660.829561239478322
0.39106.9210419629520.793789338210154
0.4107.0776448676700.756904662805822
0.41107.226446955210.720476684632897
0.42107.3677825508700.686092999150928
0.43107.5022342503840.655145627910862
0.44107.6305734327110.628142634298291
0.45107.7536971340300.605681495583974
0.46107.8725693761230.588102428360354
0.47107.9881701276850.57516366967026
0.48108.1014503423520.566773457527591
0.49108.2132887281150.562713550280003
0.5108.3244459267690.561979110624218
0.51108.4355144231990.563877118269589
0.52108.5468667042130.567261730821863
0.53108.6586084541750.570433416170951
0.54108.7705464580420.571734974360422
0.55108.8821813435510.569504990199905
0.56108.9927329234920.562280092395718
0.57109.1012009774400.548974018380681
0.58109.2064577565540.529381821770695
0.59109.3073617048860.503363508374684
0.6109.4028764961570.472084759604605
0.61109.4921769950460.436871552260192
0.62109.5747251474170.399361846667786
0.63109.6503041779660.361493558925231
0.64109.7190078625490.324847587657966
0.65109.7811911557630.290975488242832
0.66109.8373967263520.260693663773683
0.67109.8882767991260.234115372630865
0.68109.9345297693090.211290687600877
0.69109.9768662342980.192150811948689
0.7110.0160105397880.176185004607130
0.71110.0527337359100.163612668957943
0.72110.0879043853460.155096590340741
0.73110.1225371027460.151054244650856
0.74110.1578165375250.152760805942113
0.75110.1950774945120.160831654411402
0.76110.2357300857630.175381782743406
0.77110.2811316305470.195661754678543
0.78110.3324230184930.219898326055111
0.79110.3903636636900.245901015863076
0.8110.4552114910720.270868701375346
0.81110.5266964390110.292259599489495
0.82110.6041212085340.308237666281350
0.83110.6865875438270.318382008621180
0.84110.7732933846850.323354168088205
0.85110.8637905365920.325685942176343
0.86110.958061606340.328057744262180
0.87111.0563026189880.331949404569828
0.88111.1584059846930.336321114351588
0.89111.2633111491350.336925575695004
0.9111.3685536713460.327761464293558
0.91111.4703814490350.304079773653557
0.92111.5646286212400.265538650088471
0.93111.6481709386260.217170861172991
0.94111.7204008594880.168547050215766
0.95111.7839381649360.130543859344857
0.96111.8437614566290.110559857420731
0.97111.9041653955950.105082809624136
0.98111.9640474985900.0950115160832995
0.99112.0138004684610.0630213033592926


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')