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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, 24 Feb 2016 15:27:19 +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/2016/Feb/24/t1456327657im6dpk5iq1glpoy.htm/, Retrieved Fri, 03 May 2024 20:01:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292643, Retrieved Fri, 03 May 2024 20:01:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2016-02-20 14:41:19] [8208363f5f1b61be9fc338bab374bd18]
-    D  [Univariate Data Series] [] [2016-02-23 10:45:38] [8208363f5f1b61be9fc338bab374bd18]
- RMPD      [Harrell-Davis Quantiles] [] [2016-02-24 15:27:19] [62731d77c8be8d15fdc4807de050d219] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
91,16
91,17
91,17
91,38
92,68
92,72
92,79
92,81
92,81
92,81
92,81
92,81
92,81
92,82
92,82
92,88
93,38
93,89
94,1
94,18
94,3
94,31
94,36
94,38
94,38
94,5
94,57
94,89
96,71
97,57
97,88
97,97
98,4
98,51
98,46
98,46
98,48
98,6
98,6
98,71
99,13
99,2
99,3
100,18
101,37
101,77
102,28
102,38
102,35
103,23
105,37
106,62
107
107,24
107,31
107,35
107,42
107,58
107,64
107,64
107,68
108,51
110,37
111,31
111,57
111,66
111,69
111,9
111,95
112,04
112,13
112,14

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=292643&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=292643&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292643&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
0.0191.17890211145450.0629223868589237
0.0291.2388790111520.200154091348634
0.0391.35903776644130.386800066833253
0.0491.54154371029310.554416215415208
0.0591.76806853261430.644079644419267
0.0692.00792119557410.637036663021204
0.0792.23087281765950.55373340065975
0.0892.41668300154490.432765136418655
0.0992.5579529253210.31016487739843
0.192.65763951179890.208362518488669
0.1192.72446549936590.136055700724539
0.1292.7688501975440.0941726360104905
0.1392.80046065248240.0818564616632748
0.1492.82727668770610.0956164435006668
0.1592.85555900302580.129087374171007
0.1692.89013092396020.177424558977599
0.1792.93462025438460.237137413397084
0.1892.99154340610610.3045175273082
0.1993.06226610301730.374689767060883
0.293.14694004406310.441972975582972
0.2193.2445173653110.500910258640842
0.2293.35291054740670.546983565784644
0.2393.46931548965220.577870973444758
0.2493.59066608133670.593194273178644
0.2593.71415171637240.595718454500369
0.2693.83771165746280.590591834622424
0.2793.96042303614520.585053886908152
0.2894.08271866132110.587575833548729
0.2994.20639995195010.606434971247581
0.394.33444219791470.648116266474112
0.3194.47061860468860.715733045851554
0.3294.61899305896470.807959513424644
0.3394.78334786472160.920048757164071
0.3494.96662118646511.04453036347478
0.3595.17042896040421.17195813007543
0.3695.3947369462551.2923335179072
0.3795.63773035140131.39522596355017
0.3895.89590245657531.4723042671753
0.3996.16435319965251.5167917335282
0.496.4372586510381.52530025360351
0.4196.70844825246771.49777337436348
0.4296.97201323743891.43755425877102
0.4397.22286924748091.35066649530123
0.4497.45720832153051.24541460551812
0.4597.67279691933691.1311634274792
0.4697.86910240080871.01777606793935
0.4798.04725500421260.914643787987659
0.4898.20987145798110.829933038803811
0.4998.36077752387560.771213545756963
0.598.50466988145720.742976612718759
0.5198.64675459914840.747977529360052
0.5298.7923928095630.785455874349675
0.5398.94677694103960.852182741563784
0.5499.1146548941650.94351483055547
0.5599.30011542849311.05366820758799
0.5699.50644486305851.17723085861421
0.5799.73606120601261.30863701186366
0.5899.99052520412391.44304873753314
0.59100.2706177327751.57645586749994
0.6100.5764604296291.70588769718565
0.61100.9076445513361.82936029715171
0.62101.2633262050581.94589774626541
0.63101.6422489420782.05410406214053
0.64102.0426699484492.15253907992295
0.65102.4621929264342.23822091422324
0.66102.8975440563012.30614866194068
0.67103.3443582962762.35000768666855
0.68103.7970614695022.36281984488214
0.69104.2489308550052.33813615035553
0.7104.692390441482.27143543584637
0.71105.1195509750972.16184817513969
0.72105.5229504930262.01264514610143
0.73105.8964026955361.83187860760845
0.74106.2358312205261.63143807859831
0.75106.5399641075251.42640966755254
0.76106.8107818093091.23330047012005
0.77107.0536434852281.06921633197295
0.78107.2770468484130.950954287789937
0.79107.491998330430.892846704093362
0.8107.7109858341220.902401475063417
0.81107.9465713183660.975972601202718
0.82108.2096758679661.09788877681193
0.83108.507727976961.24491796873704
0.84108.8429736605821.38941786394244
0.85109.2113578120061.50280575700502
0.86109.6024074544331.55935447231606
0.87110.0004114373891.54158375905722
0.88110.3868791813521.44465363527864
0.89110.743841324551.27861850216859
0.9111.0571834797391.06630055587781
0.91111.3190702570440.837946754414803
0.92111.5287423059580.623160967847451
0.93111.6915093424080.443781759828752
0.94111.8163818631090.309525646114187
0.95111.9131721029650.21797592458833
0.96111.9898906151150.158018527155348
0.97112.0510356179450.115009995331293
0.98112.0972707536130.0758812096842641
0.99112.1270216826430.0365873760877044

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 91.1789021114545 & 0.0629223868589237 \tabularnewline
0.02 & 91.238879011152 & 0.200154091348634 \tabularnewline
0.03 & 91.3590377664413 & 0.386800066833253 \tabularnewline
0.04 & 91.5415437102931 & 0.554416215415208 \tabularnewline
0.05 & 91.7680685326143 & 0.644079644419267 \tabularnewline
0.06 & 92.0079211955741 & 0.637036663021204 \tabularnewline
0.07 & 92.2308728176595 & 0.55373340065975 \tabularnewline
0.08 & 92.4166830015449 & 0.432765136418655 \tabularnewline
0.09 & 92.557952925321 & 0.31016487739843 \tabularnewline
0.1 & 92.6576395117989 & 0.208362518488669 \tabularnewline
0.11 & 92.7244654993659 & 0.136055700724539 \tabularnewline
0.12 & 92.768850197544 & 0.0941726360104905 \tabularnewline
0.13 & 92.8004606524824 & 0.0818564616632748 \tabularnewline
0.14 & 92.8272766877061 & 0.0956164435006668 \tabularnewline
0.15 & 92.8555590030258 & 0.129087374171007 \tabularnewline
0.16 & 92.8901309239602 & 0.177424558977599 \tabularnewline
0.17 & 92.9346202543846 & 0.237137413397084 \tabularnewline
0.18 & 92.9915434061061 & 0.3045175273082 \tabularnewline
0.19 & 93.0622661030173 & 0.374689767060883 \tabularnewline
0.2 & 93.1469400440631 & 0.441972975582972 \tabularnewline
0.21 & 93.244517365311 & 0.500910258640842 \tabularnewline
0.22 & 93.3529105474067 & 0.546983565784644 \tabularnewline
0.23 & 93.4693154896522 & 0.577870973444758 \tabularnewline
0.24 & 93.5906660813367 & 0.593194273178644 \tabularnewline
0.25 & 93.7141517163724 & 0.595718454500369 \tabularnewline
0.26 & 93.8377116574628 & 0.590591834622424 \tabularnewline
0.27 & 93.9604230361452 & 0.585053886908152 \tabularnewline
0.28 & 94.0827186613211 & 0.587575833548729 \tabularnewline
0.29 & 94.2063999519501 & 0.606434971247581 \tabularnewline
0.3 & 94.3344421979147 & 0.648116266474112 \tabularnewline
0.31 & 94.4706186046886 & 0.715733045851554 \tabularnewline
0.32 & 94.6189930589647 & 0.807959513424644 \tabularnewline
0.33 & 94.7833478647216 & 0.920048757164071 \tabularnewline
0.34 & 94.9666211864651 & 1.04453036347478 \tabularnewline
0.35 & 95.1704289604042 & 1.17195813007543 \tabularnewline
0.36 & 95.394736946255 & 1.2923335179072 \tabularnewline
0.37 & 95.6377303514013 & 1.39522596355017 \tabularnewline
0.38 & 95.8959024565753 & 1.4723042671753 \tabularnewline
0.39 & 96.1643531996525 & 1.5167917335282 \tabularnewline
0.4 & 96.437258651038 & 1.52530025360351 \tabularnewline
0.41 & 96.7084482524677 & 1.49777337436348 \tabularnewline
0.42 & 96.9720132374389 & 1.43755425877102 \tabularnewline
0.43 & 97.2228692474809 & 1.35066649530123 \tabularnewline
0.44 & 97.4572083215305 & 1.24541460551812 \tabularnewline
0.45 & 97.6727969193369 & 1.1311634274792 \tabularnewline
0.46 & 97.8691024008087 & 1.01777606793935 \tabularnewline
0.47 & 98.0472550042126 & 0.914643787987659 \tabularnewline
0.48 & 98.2098714579811 & 0.829933038803811 \tabularnewline
0.49 & 98.3607775238756 & 0.771213545756963 \tabularnewline
0.5 & 98.5046698814572 & 0.742976612718759 \tabularnewline
0.51 & 98.6467545991484 & 0.747977529360052 \tabularnewline
0.52 & 98.792392809563 & 0.785455874349675 \tabularnewline
0.53 & 98.9467769410396 & 0.852182741563784 \tabularnewline
0.54 & 99.114654894165 & 0.94351483055547 \tabularnewline
0.55 & 99.3001154284931 & 1.05366820758799 \tabularnewline
0.56 & 99.5064448630585 & 1.17723085861421 \tabularnewline
0.57 & 99.7360612060126 & 1.30863701186366 \tabularnewline
0.58 & 99.9905252041239 & 1.44304873753314 \tabularnewline
0.59 & 100.270617732775 & 1.57645586749994 \tabularnewline
0.6 & 100.576460429629 & 1.70588769718565 \tabularnewline
0.61 & 100.907644551336 & 1.82936029715171 \tabularnewline
0.62 & 101.263326205058 & 1.94589774626541 \tabularnewline
0.63 & 101.642248942078 & 2.05410406214053 \tabularnewline
0.64 & 102.042669948449 & 2.15253907992295 \tabularnewline
0.65 & 102.462192926434 & 2.23822091422324 \tabularnewline
0.66 & 102.897544056301 & 2.30614866194068 \tabularnewline
0.67 & 103.344358296276 & 2.35000768666855 \tabularnewline
0.68 & 103.797061469502 & 2.36281984488214 \tabularnewline
0.69 & 104.248930855005 & 2.33813615035553 \tabularnewline
0.7 & 104.69239044148 & 2.27143543584637 \tabularnewline
0.71 & 105.119550975097 & 2.16184817513969 \tabularnewline
0.72 & 105.522950493026 & 2.01264514610143 \tabularnewline
0.73 & 105.896402695536 & 1.83187860760845 \tabularnewline
0.74 & 106.235831220526 & 1.63143807859831 \tabularnewline
0.75 & 106.539964107525 & 1.42640966755254 \tabularnewline
0.76 & 106.810781809309 & 1.23330047012005 \tabularnewline
0.77 & 107.053643485228 & 1.06921633197295 \tabularnewline
0.78 & 107.277046848413 & 0.950954287789937 \tabularnewline
0.79 & 107.49199833043 & 0.892846704093362 \tabularnewline
0.8 & 107.710985834122 & 0.902401475063417 \tabularnewline
0.81 & 107.946571318366 & 0.975972601202718 \tabularnewline
0.82 & 108.209675867966 & 1.09788877681193 \tabularnewline
0.83 & 108.50772797696 & 1.24491796873704 \tabularnewline
0.84 & 108.842973660582 & 1.38941786394244 \tabularnewline
0.85 & 109.211357812006 & 1.50280575700502 \tabularnewline
0.86 & 109.602407454433 & 1.55935447231606 \tabularnewline
0.87 & 110.000411437389 & 1.54158375905722 \tabularnewline
0.88 & 110.386879181352 & 1.44465363527864 \tabularnewline
0.89 & 110.74384132455 & 1.27861850216859 \tabularnewline
0.9 & 111.057183479739 & 1.06630055587781 \tabularnewline
0.91 & 111.319070257044 & 0.837946754414803 \tabularnewline
0.92 & 111.528742305958 & 0.623160967847451 \tabularnewline
0.93 & 111.691509342408 & 0.443781759828752 \tabularnewline
0.94 & 111.816381863109 & 0.309525646114187 \tabularnewline
0.95 & 111.913172102965 & 0.21797592458833 \tabularnewline
0.96 & 111.989890615115 & 0.158018527155348 \tabularnewline
0.97 & 112.051035617945 & 0.115009995331293 \tabularnewline
0.98 & 112.097270753613 & 0.0758812096842641 \tabularnewline
0.99 & 112.127021682643 & 0.0365873760877044 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292643&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]91.1789021114545[/C][C]0.0629223868589237[/C][/ROW]
[ROW][C]0.02[/C][C]91.238879011152[/C][C]0.200154091348634[/C][/ROW]
[ROW][C]0.03[/C][C]91.3590377664413[/C][C]0.386800066833253[/C][/ROW]
[ROW][C]0.04[/C][C]91.5415437102931[/C][C]0.554416215415208[/C][/ROW]
[ROW][C]0.05[/C][C]91.7680685326143[/C][C]0.644079644419267[/C][/ROW]
[ROW][C]0.06[/C][C]92.0079211955741[/C][C]0.637036663021204[/C][/ROW]
[ROW][C]0.07[/C][C]92.2308728176595[/C][C]0.55373340065975[/C][/ROW]
[ROW][C]0.08[/C][C]92.4166830015449[/C][C]0.432765136418655[/C][/ROW]
[ROW][C]0.09[/C][C]92.557952925321[/C][C]0.31016487739843[/C][/ROW]
[ROW][C]0.1[/C][C]92.6576395117989[/C][C]0.208362518488669[/C][/ROW]
[ROW][C]0.11[/C][C]92.7244654993659[/C][C]0.136055700724539[/C][/ROW]
[ROW][C]0.12[/C][C]92.768850197544[/C][C]0.0941726360104905[/C][/ROW]
[ROW][C]0.13[/C][C]92.8004606524824[/C][C]0.0818564616632748[/C][/ROW]
[ROW][C]0.14[/C][C]92.8272766877061[/C][C]0.0956164435006668[/C][/ROW]
[ROW][C]0.15[/C][C]92.8555590030258[/C][C]0.129087374171007[/C][/ROW]
[ROW][C]0.16[/C][C]92.8901309239602[/C][C]0.177424558977599[/C][/ROW]
[ROW][C]0.17[/C][C]92.9346202543846[/C][C]0.237137413397084[/C][/ROW]
[ROW][C]0.18[/C][C]92.9915434061061[/C][C]0.3045175273082[/C][/ROW]
[ROW][C]0.19[/C][C]93.0622661030173[/C][C]0.374689767060883[/C][/ROW]
[ROW][C]0.2[/C][C]93.1469400440631[/C][C]0.441972975582972[/C][/ROW]
[ROW][C]0.21[/C][C]93.244517365311[/C][C]0.500910258640842[/C][/ROW]
[ROW][C]0.22[/C][C]93.3529105474067[/C][C]0.546983565784644[/C][/ROW]
[ROW][C]0.23[/C][C]93.4693154896522[/C][C]0.577870973444758[/C][/ROW]
[ROW][C]0.24[/C][C]93.5906660813367[/C][C]0.593194273178644[/C][/ROW]
[ROW][C]0.25[/C][C]93.7141517163724[/C][C]0.595718454500369[/C][/ROW]
[ROW][C]0.26[/C][C]93.8377116574628[/C][C]0.590591834622424[/C][/ROW]
[ROW][C]0.27[/C][C]93.9604230361452[/C][C]0.585053886908152[/C][/ROW]
[ROW][C]0.28[/C][C]94.0827186613211[/C][C]0.587575833548729[/C][/ROW]
[ROW][C]0.29[/C][C]94.2063999519501[/C][C]0.606434971247581[/C][/ROW]
[ROW][C]0.3[/C][C]94.3344421979147[/C][C]0.648116266474112[/C][/ROW]
[ROW][C]0.31[/C][C]94.4706186046886[/C][C]0.715733045851554[/C][/ROW]
[ROW][C]0.32[/C][C]94.6189930589647[/C][C]0.807959513424644[/C][/ROW]
[ROW][C]0.33[/C][C]94.7833478647216[/C][C]0.920048757164071[/C][/ROW]
[ROW][C]0.34[/C][C]94.9666211864651[/C][C]1.04453036347478[/C][/ROW]
[ROW][C]0.35[/C][C]95.1704289604042[/C][C]1.17195813007543[/C][/ROW]
[ROW][C]0.36[/C][C]95.394736946255[/C][C]1.2923335179072[/C][/ROW]
[ROW][C]0.37[/C][C]95.6377303514013[/C][C]1.39522596355017[/C][/ROW]
[ROW][C]0.38[/C][C]95.8959024565753[/C][C]1.4723042671753[/C][/ROW]
[ROW][C]0.39[/C][C]96.1643531996525[/C][C]1.5167917335282[/C][/ROW]
[ROW][C]0.4[/C][C]96.437258651038[/C][C]1.52530025360351[/C][/ROW]
[ROW][C]0.41[/C][C]96.7084482524677[/C][C]1.49777337436348[/C][/ROW]
[ROW][C]0.42[/C][C]96.9720132374389[/C][C]1.43755425877102[/C][/ROW]
[ROW][C]0.43[/C][C]97.2228692474809[/C][C]1.35066649530123[/C][/ROW]
[ROW][C]0.44[/C][C]97.4572083215305[/C][C]1.24541460551812[/C][/ROW]
[ROW][C]0.45[/C][C]97.6727969193369[/C][C]1.1311634274792[/C][/ROW]
[ROW][C]0.46[/C][C]97.8691024008087[/C][C]1.01777606793935[/C][/ROW]
[ROW][C]0.47[/C][C]98.0472550042126[/C][C]0.914643787987659[/C][/ROW]
[ROW][C]0.48[/C][C]98.2098714579811[/C][C]0.829933038803811[/C][/ROW]
[ROW][C]0.49[/C][C]98.3607775238756[/C][C]0.771213545756963[/C][/ROW]
[ROW][C]0.5[/C][C]98.5046698814572[/C][C]0.742976612718759[/C][/ROW]
[ROW][C]0.51[/C][C]98.6467545991484[/C][C]0.747977529360052[/C][/ROW]
[ROW][C]0.52[/C][C]98.792392809563[/C][C]0.785455874349675[/C][/ROW]
[ROW][C]0.53[/C][C]98.9467769410396[/C][C]0.852182741563784[/C][/ROW]
[ROW][C]0.54[/C][C]99.114654894165[/C][C]0.94351483055547[/C][/ROW]
[ROW][C]0.55[/C][C]99.3001154284931[/C][C]1.05366820758799[/C][/ROW]
[ROW][C]0.56[/C][C]99.5064448630585[/C][C]1.17723085861421[/C][/ROW]
[ROW][C]0.57[/C][C]99.7360612060126[/C][C]1.30863701186366[/C][/ROW]
[ROW][C]0.58[/C][C]99.9905252041239[/C][C]1.44304873753314[/C][/ROW]
[ROW][C]0.59[/C][C]100.270617732775[/C][C]1.57645586749994[/C][/ROW]
[ROW][C]0.6[/C][C]100.576460429629[/C][C]1.70588769718565[/C][/ROW]
[ROW][C]0.61[/C][C]100.907644551336[/C][C]1.82936029715171[/C][/ROW]
[ROW][C]0.62[/C][C]101.263326205058[/C][C]1.94589774626541[/C][/ROW]
[ROW][C]0.63[/C][C]101.642248942078[/C][C]2.05410406214053[/C][/ROW]
[ROW][C]0.64[/C][C]102.042669948449[/C][C]2.15253907992295[/C][/ROW]
[ROW][C]0.65[/C][C]102.462192926434[/C][C]2.23822091422324[/C][/ROW]
[ROW][C]0.66[/C][C]102.897544056301[/C][C]2.30614866194068[/C][/ROW]
[ROW][C]0.67[/C][C]103.344358296276[/C][C]2.35000768666855[/C][/ROW]
[ROW][C]0.68[/C][C]103.797061469502[/C][C]2.36281984488214[/C][/ROW]
[ROW][C]0.69[/C][C]104.248930855005[/C][C]2.33813615035553[/C][/ROW]
[ROW][C]0.7[/C][C]104.69239044148[/C][C]2.27143543584637[/C][/ROW]
[ROW][C]0.71[/C][C]105.119550975097[/C][C]2.16184817513969[/C][/ROW]
[ROW][C]0.72[/C][C]105.522950493026[/C][C]2.01264514610143[/C][/ROW]
[ROW][C]0.73[/C][C]105.896402695536[/C][C]1.83187860760845[/C][/ROW]
[ROW][C]0.74[/C][C]106.235831220526[/C][C]1.63143807859831[/C][/ROW]
[ROW][C]0.75[/C][C]106.539964107525[/C][C]1.42640966755254[/C][/ROW]
[ROW][C]0.76[/C][C]106.810781809309[/C][C]1.23330047012005[/C][/ROW]
[ROW][C]0.77[/C][C]107.053643485228[/C][C]1.06921633197295[/C][/ROW]
[ROW][C]0.78[/C][C]107.277046848413[/C][C]0.950954287789937[/C][/ROW]
[ROW][C]0.79[/C][C]107.49199833043[/C][C]0.892846704093362[/C][/ROW]
[ROW][C]0.8[/C][C]107.710985834122[/C][C]0.902401475063417[/C][/ROW]
[ROW][C]0.81[/C][C]107.946571318366[/C][C]0.975972601202718[/C][/ROW]
[ROW][C]0.82[/C][C]108.209675867966[/C][C]1.09788877681193[/C][/ROW]
[ROW][C]0.83[/C][C]108.50772797696[/C][C]1.24491796873704[/C][/ROW]
[ROW][C]0.84[/C][C]108.842973660582[/C][C]1.38941786394244[/C][/ROW]
[ROW][C]0.85[/C][C]109.211357812006[/C][C]1.50280575700502[/C][/ROW]
[ROW][C]0.86[/C][C]109.602407454433[/C][C]1.55935447231606[/C][/ROW]
[ROW][C]0.87[/C][C]110.000411437389[/C][C]1.54158375905722[/C][/ROW]
[ROW][C]0.88[/C][C]110.386879181352[/C][C]1.44465363527864[/C][/ROW]
[ROW][C]0.89[/C][C]110.74384132455[/C][C]1.27861850216859[/C][/ROW]
[ROW][C]0.9[/C][C]111.057183479739[/C][C]1.06630055587781[/C][/ROW]
[ROW][C]0.91[/C][C]111.319070257044[/C][C]0.837946754414803[/C][/ROW]
[ROW][C]0.92[/C][C]111.528742305958[/C][C]0.623160967847451[/C][/ROW]
[ROW][C]0.93[/C][C]111.691509342408[/C][C]0.443781759828752[/C][/ROW]
[ROW][C]0.94[/C][C]111.816381863109[/C][C]0.309525646114187[/C][/ROW]
[ROW][C]0.95[/C][C]111.913172102965[/C][C]0.21797592458833[/C][/ROW]
[ROW][C]0.96[/C][C]111.989890615115[/C][C]0.158018527155348[/C][/ROW]
[ROW][C]0.97[/C][C]112.051035617945[/C][C]0.115009995331293[/C][/ROW]
[ROW][C]0.98[/C][C]112.097270753613[/C][C]0.0758812096842641[/C][/ROW]
[ROW][C]0.99[/C][C]112.127021682643[/C][C]0.0365873760877044[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292643&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292643&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
0.0191.17890211145450.0629223868589237
0.0291.2388790111520.200154091348634
0.0391.35903776644130.386800066833253
0.0491.54154371029310.554416215415208
0.0591.76806853261430.644079644419267
0.0692.00792119557410.637036663021204
0.0792.23087281765950.55373340065975
0.0892.41668300154490.432765136418655
0.0992.5579529253210.31016487739843
0.192.65763951179890.208362518488669
0.1192.72446549936590.136055700724539
0.1292.7688501975440.0941726360104905
0.1392.80046065248240.0818564616632748
0.1492.82727668770610.0956164435006668
0.1592.85555900302580.129087374171007
0.1692.89013092396020.177424558977599
0.1792.93462025438460.237137413397084
0.1892.99154340610610.3045175273082
0.1993.06226610301730.374689767060883
0.293.14694004406310.441972975582972
0.2193.2445173653110.500910258640842
0.2293.35291054740670.546983565784644
0.2393.46931548965220.577870973444758
0.2493.59066608133670.593194273178644
0.2593.71415171637240.595718454500369
0.2693.83771165746280.590591834622424
0.2793.96042303614520.585053886908152
0.2894.08271866132110.587575833548729
0.2994.20639995195010.606434971247581
0.394.33444219791470.648116266474112
0.3194.47061860468860.715733045851554
0.3294.61899305896470.807959513424644
0.3394.78334786472160.920048757164071
0.3494.96662118646511.04453036347478
0.3595.17042896040421.17195813007543
0.3695.3947369462551.2923335179072
0.3795.63773035140131.39522596355017
0.3895.89590245657531.4723042671753
0.3996.16435319965251.5167917335282
0.496.4372586510381.52530025360351
0.4196.70844825246771.49777337436348
0.4296.97201323743891.43755425877102
0.4397.22286924748091.35066649530123
0.4497.45720832153051.24541460551812
0.4597.67279691933691.1311634274792
0.4697.86910240080871.01777606793935
0.4798.04725500421260.914643787987659
0.4898.20987145798110.829933038803811
0.4998.36077752387560.771213545756963
0.598.50466988145720.742976612718759
0.5198.64675459914840.747977529360052
0.5298.7923928095630.785455874349675
0.5398.94677694103960.852182741563784
0.5499.1146548941650.94351483055547
0.5599.30011542849311.05366820758799
0.5699.50644486305851.17723085861421
0.5799.73606120601261.30863701186366
0.5899.99052520412391.44304873753314
0.59100.2706177327751.57645586749994
0.6100.5764604296291.70588769718565
0.61100.9076445513361.82936029715171
0.62101.2633262050581.94589774626541
0.63101.6422489420782.05410406214053
0.64102.0426699484492.15253907992295
0.65102.4621929264342.23822091422324
0.66102.8975440563012.30614866194068
0.67103.3443582962762.35000768666855
0.68103.7970614695022.36281984488214
0.69104.2489308550052.33813615035553
0.7104.692390441482.27143543584637
0.71105.1195509750972.16184817513969
0.72105.5229504930262.01264514610143
0.73105.8964026955361.83187860760845
0.74106.2358312205261.63143807859831
0.75106.5399641075251.42640966755254
0.76106.8107818093091.23330047012005
0.77107.0536434852281.06921633197295
0.78107.2770468484130.950954287789937
0.79107.491998330430.892846704093362
0.8107.7109858341220.902401475063417
0.81107.9465713183660.975972601202718
0.82108.2096758679661.09788877681193
0.83108.507727976961.24491796873704
0.84108.8429736605821.38941786394244
0.85109.2113578120061.50280575700502
0.86109.6024074544331.55935447231606
0.87110.0004114373891.54158375905722
0.88110.3868791813521.44465363527864
0.89110.743841324551.27861850216859
0.9111.0571834797391.06630055587781
0.91111.3190702570440.837946754414803
0.92111.5287423059580.623160967847451
0.93111.6915093424080.443781759828752
0.94111.8163818631090.309525646114187
0.95111.9131721029650.21797592458833
0.96111.9898906151150.158018527155348
0.97112.0510356179450.115009995331293
0.98112.0972707536130.0758812096842641
0.99112.1270216826430.0365873760877044


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')