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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 computationFri, 07 Oct 2016 14:40:48 +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/2016/Oct/07/t1475847789dpz4i7mqlye3ez8.htm/, Retrieved Mon, 06 May 2024 07:44:34 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Mon, 06 May 2024 07:44:34 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.4
0
0.2
-0.6
0.5
-0.3
-1.2
0
0.9
0.5
-0.5
0.1
-0.9
1.1
-0.6
-0.2
0.1
-0.2
3.5
-0.9
-1.3
-0.3
-0.4
1.3
-0.7
0.5
-0.6
0.8
-0.2
0.3
3.8
-1.1
-1.7
0.1
-0.9
1.9
-1.4
1.4
-0.2
0.6
0.5
0.6
3.4
-1.4
-1.6
-1.2
-1.7
1.9
-0.8
1
-0.9
1.1
-0.6
0.6
4.1
-1.1
-2
-1.3
-1.7
1.6
-1.2
1.2
-0.8
0.7
1.2
-0.2
4.4
-1.1
-2.2
-0.7
-1.7
1.6

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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01-2.126473737483610.204619807379032
0.02-2.014134146996040.203206208356328
0.03-1.901906897894680.176873365445432
0.04-1.8105169336430.137568348554015
0.05-1.742134693296950.10899189551514
0.06-1.68962951460290.10469568392438
0.07-1.644336878232860.118895021471194
0.08-1.600063835099030.138334745132959
0.09-1.554052663167570.154251173207586
0.1-1.506238646181860.162870144240726
0.11-1.457966317403260.163911272918507
0.12-1.410874367791150.159203123765691
0.13-1.366218946245020.151407962108159
0.14-1.324621137752850.143042001071793
0.15-1.286102644230980.135963104603412
0.16-1.250260790854210.131221847163793
0.17-1.216472800108940.129151226526872
0.18-1.184068855826690.129536080833103
0.19-1.15245217472210.131803970610156
0.2-1.121166299747260.135208781793395
0.21-1.089918657901560.138987639223105
0.22-1.058571376316770.14250410223698
0.23-1.027110195715580.145335323291867
0.24-0.9956020001983240.147300428295115
0.25-0.9641508710596040.148447727144129
0.26-0.9328609191185160.148977391314864
0.27-0.9018111646372260.14916009117887
0.28-0.8710439329239930.149246758325611
0.29-0.8405646672337590.149412740301053
0.3-0.8103487662396770.149748709016177
0.31-0.7803505803229530.15028425238111
0.32-0.7505109105216360.151033587035772
0.33-0.7207615334250870.152026222116012
0.34-0.6910274653439270.153324962585577
0.35-0.6612290520507510.155002239314409
0.36-0.6312861079614080.157101214086933
0.37-0.6011253145352320.15959577802665
0.38-0.5706904131566350.16236212217335
0.39-0.5399530733813670.165180665808916
0.4-0.5089213041313880.167770739574694
0.41-0.4776422696891140.169845724492304
0.42-0.4461973967113740.171179272239866
0.43-0.4146894167380570.171661426718979
0.44-0.3832229799460140.171334606878468
0.45-0.3518821522912320.170403575781614
0.46-0.3207090277130490.169215313222002
0.47-0.2896876239930170.16820955757913
0.48-0.2587362217417180.167848122311027
0.49-0.2277096271393830.168538949836711
0.5-0.1964109251452610.17056187611711
0.51-0.1646106146130330.174027734832876
0.52-0.1320699641848150.178868627923461
0.53-0.09856518707155520.184865981445002
0.54-0.06390954640850420.191695516205711
0.55-0.0279714889886090.198972449019938
0.560.009312046284753420.206285448765163
0.570.04792728114350480.213213882454832
0.580.08778018925284720.219336416034794
0.590.1286983713377730.224241755808551
0.60.1704391579142330.227552201843208
0.610.2127052561495330.228964298166492
0.620.2551689656839450.228305328727501
0.630.2975048013822730.225593374873786
0.640.339428385133850.22108373603328
0.650.3807371599537840.215291191801531
0.660.4213465280536980.208964922041985
0.670.4613141375845840.203013980138143
0.680.5008457564978860.198384070585557
0.690.5402786181837720.195889223469476
0.70.5800420036137860.196033262475917
0.710.6205994514098570.198876481187734
0.720.6623814272116770.203996120261892
0.730.7057205450014890.21056750510783
0.740.7508026571774710.217528237568297
0.750.7976457666994430.223792712252196
0.760.8461146740202160.22846461003145
0.770.8959730543923420.231020767470214
0.780.9469674459923880.231441091014534
0.790.9989312691623530.230266373142875
0.81.051893834155930.228562625601338
0.811.106181654942670.227794977401911
0.821.162508580786520.229640542461486
0.831.222065964499080.235816459579866
0.841.286638287594190.248061868916404
0.851.358771087112610.268391947705882
0.861.441989469435950.299564556231231
0.871.54099272648140.345315617617862
0.881.661639758252170.409584068885435
0.891.810440822384660.494097362001413
0.91.993287227674780.594759603451047
0.912.213404232371130.69862041102145
0.922.469038227931920.783930627878721
0.932.751992271273310.825427156541658
0.943.048337038990060.804703250870782
0.953.341926253603580.72136764594467
0.963.619584532346240.597194125866154
0.973.874476712745960.467308440775196
0.984.102464870780680.363643451950284
0.994.289046539748390.30706006602815

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -2.12647373748361 & 0.204619807379032 \tabularnewline
0.02 & -2.01413414699604 & 0.203206208356328 \tabularnewline
0.03 & -1.90190689789468 & 0.176873365445432 \tabularnewline
0.04 & -1.810516933643 & 0.137568348554015 \tabularnewline
0.05 & -1.74213469329695 & 0.10899189551514 \tabularnewline
0.06 & -1.6896295146029 & 0.10469568392438 \tabularnewline
0.07 & -1.64433687823286 & 0.118895021471194 \tabularnewline
0.08 & -1.60006383509903 & 0.138334745132959 \tabularnewline
0.09 & -1.55405266316757 & 0.154251173207586 \tabularnewline
0.1 & -1.50623864618186 & 0.162870144240726 \tabularnewline
0.11 & -1.45796631740326 & 0.163911272918507 \tabularnewline
0.12 & -1.41087436779115 & 0.159203123765691 \tabularnewline
0.13 & -1.36621894624502 & 0.151407962108159 \tabularnewline
0.14 & -1.32462113775285 & 0.143042001071793 \tabularnewline
0.15 & -1.28610264423098 & 0.135963104603412 \tabularnewline
0.16 & -1.25026079085421 & 0.131221847163793 \tabularnewline
0.17 & -1.21647280010894 & 0.129151226526872 \tabularnewline
0.18 & -1.18406885582669 & 0.129536080833103 \tabularnewline
0.19 & -1.1524521747221 & 0.131803970610156 \tabularnewline
0.2 & -1.12116629974726 & 0.135208781793395 \tabularnewline
0.21 & -1.08991865790156 & 0.138987639223105 \tabularnewline
0.22 & -1.05857137631677 & 0.14250410223698 \tabularnewline
0.23 & -1.02711019571558 & 0.145335323291867 \tabularnewline
0.24 & -0.995602000198324 & 0.147300428295115 \tabularnewline
0.25 & -0.964150871059604 & 0.148447727144129 \tabularnewline
0.26 & -0.932860919118516 & 0.148977391314864 \tabularnewline
0.27 & -0.901811164637226 & 0.14916009117887 \tabularnewline
0.28 & -0.871043932923993 & 0.149246758325611 \tabularnewline
0.29 & -0.840564667233759 & 0.149412740301053 \tabularnewline
0.3 & -0.810348766239677 & 0.149748709016177 \tabularnewline
0.31 & -0.780350580322953 & 0.15028425238111 \tabularnewline
0.32 & -0.750510910521636 & 0.151033587035772 \tabularnewline
0.33 & -0.720761533425087 & 0.152026222116012 \tabularnewline
0.34 & -0.691027465343927 & 0.153324962585577 \tabularnewline
0.35 & -0.661229052050751 & 0.155002239314409 \tabularnewline
0.36 & -0.631286107961408 & 0.157101214086933 \tabularnewline
0.37 & -0.601125314535232 & 0.15959577802665 \tabularnewline
0.38 & -0.570690413156635 & 0.16236212217335 \tabularnewline
0.39 & -0.539953073381367 & 0.165180665808916 \tabularnewline
0.4 & -0.508921304131388 & 0.167770739574694 \tabularnewline
0.41 & -0.477642269689114 & 0.169845724492304 \tabularnewline
0.42 & -0.446197396711374 & 0.171179272239866 \tabularnewline
0.43 & -0.414689416738057 & 0.171661426718979 \tabularnewline
0.44 & -0.383222979946014 & 0.171334606878468 \tabularnewline
0.45 & -0.351882152291232 & 0.170403575781614 \tabularnewline
0.46 & -0.320709027713049 & 0.169215313222002 \tabularnewline
0.47 & -0.289687623993017 & 0.16820955757913 \tabularnewline
0.48 & -0.258736221741718 & 0.167848122311027 \tabularnewline
0.49 & -0.227709627139383 & 0.168538949836711 \tabularnewline
0.5 & -0.196410925145261 & 0.17056187611711 \tabularnewline
0.51 & -0.164610614613033 & 0.174027734832876 \tabularnewline
0.52 & -0.132069964184815 & 0.178868627923461 \tabularnewline
0.53 & -0.0985651870715552 & 0.184865981445002 \tabularnewline
0.54 & -0.0639095464085042 & 0.191695516205711 \tabularnewline
0.55 & -0.027971488988609 & 0.198972449019938 \tabularnewline
0.56 & 0.00931204628475342 & 0.206285448765163 \tabularnewline
0.57 & 0.0479272811435048 & 0.213213882454832 \tabularnewline
0.58 & 0.0877801892528472 & 0.219336416034794 \tabularnewline
0.59 & 0.128698371337773 & 0.224241755808551 \tabularnewline
0.6 & 0.170439157914233 & 0.227552201843208 \tabularnewline
0.61 & 0.212705256149533 & 0.228964298166492 \tabularnewline
0.62 & 0.255168965683945 & 0.228305328727501 \tabularnewline
0.63 & 0.297504801382273 & 0.225593374873786 \tabularnewline
0.64 & 0.33942838513385 & 0.22108373603328 \tabularnewline
0.65 & 0.380737159953784 & 0.215291191801531 \tabularnewline
0.66 & 0.421346528053698 & 0.208964922041985 \tabularnewline
0.67 & 0.461314137584584 & 0.203013980138143 \tabularnewline
0.68 & 0.500845756497886 & 0.198384070585557 \tabularnewline
0.69 & 0.540278618183772 & 0.195889223469476 \tabularnewline
0.7 & 0.580042003613786 & 0.196033262475917 \tabularnewline
0.71 & 0.620599451409857 & 0.198876481187734 \tabularnewline
0.72 & 0.662381427211677 & 0.203996120261892 \tabularnewline
0.73 & 0.705720545001489 & 0.21056750510783 \tabularnewline
0.74 & 0.750802657177471 & 0.217528237568297 \tabularnewline
0.75 & 0.797645766699443 & 0.223792712252196 \tabularnewline
0.76 & 0.846114674020216 & 0.22846461003145 \tabularnewline
0.77 & 0.895973054392342 & 0.231020767470214 \tabularnewline
0.78 & 0.946967445992388 & 0.231441091014534 \tabularnewline
0.79 & 0.998931269162353 & 0.230266373142875 \tabularnewline
0.8 & 1.05189383415593 & 0.228562625601338 \tabularnewline
0.81 & 1.10618165494267 & 0.227794977401911 \tabularnewline
0.82 & 1.16250858078652 & 0.229640542461486 \tabularnewline
0.83 & 1.22206596449908 & 0.235816459579866 \tabularnewline
0.84 & 1.28663828759419 & 0.248061868916404 \tabularnewline
0.85 & 1.35877108711261 & 0.268391947705882 \tabularnewline
0.86 & 1.44198946943595 & 0.299564556231231 \tabularnewline
0.87 & 1.5409927264814 & 0.345315617617862 \tabularnewline
0.88 & 1.66163975825217 & 0.409584068885435 \tabularnewline
0.89 & 1.81044082238466 & 0.494097362001413 \tabularnewline
0.9 & 1.99328722767478 & 0.594759603451047 \tabularnewline
0.91 & 2.21340423237113 & 0.69862041102145 \tabularnewline
0.92 & 2.46903822793192 & 0.783930627878721 \tabularnewline
0.93 & 2.75199227127331 & 0.825427156541658 \tabularnewline
0.94 & 3.04833703899006 & 0.804703250870782 \tabularnewline
0.95 & 3.34192625360358 & 0.72136764594467 \tabularnewline
0.96 & 3.61958453234624 & 0.597194125866154 \tabularnewline
0.97 & 3.87447671274596 & 0.467308440775196 \tabularnewline
0.98 & 4.10246487078068 & 0.363643451950284 \tabularnewline
0.99 & 4.28904653974839 & 0.30706006602815 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]-2.12647373748361[/C][C]0.204619807379032[/C][/ROW]
[ROW][C]0.02[/C][C]-2.01413414699604[/C][C]0.203206208356328[/C][/ROW]
[ROW][C]0.03[/C][C]-1.90190689789468[/C][C]0.176873365445432[/C][/ROW]
[ROW][C]0.04[/C][C]-1.810516933643[/C][C]0.137568348554015[/C][/ROW]
[ROW][C]0.05[/C][C]-1.74213469329695[/C][C]0.10899189551514[/C][/ROW]
[ROW][C]0.06[/C][C]-1.6896295146029[/C][C]0.10469568392438[/C][/ROW]
[ROW][C]0.07[/C][C]-1.64433687823286[/C][C]0.118895021471194[/C][/ROW]
[ROW][C]0.08[/C][C]-1.60006383509903[/C][C]0.138334745132959[/C][/ROW]
[ROW][C]0.09[/C][C]-1.55405266316757[/C][C]0.154251173207586[/C][/ROW]
[ROW][C]0.1[/C][C]-1.50623864618186[/C][C]0.162870144240726[/C][/ROW]
[ROW][C]0.11[/C][C]-1.45796631740326[/C][C]0.163911272918507[/C][/ROW]
[ROW][C]0.12[/C][C]-1.41087436779115[/C][C]0.159203123765691[/C][/ROW]
[ROW][C]0.13[/C][C]-1.36621894624502[/C][C]0.151407962108159[/C][/ROW]
[ROW][C]0.14[/C][C]-1.32462113775285[/C][C]0.143042001071793[/C][/ROW]
[ROW][C]0.15[/C][C]-1.28610264423098[/C][C]0.135963104603412[/C][/ROW]
[ROW][C]0.16[/C][C]-1.25026079085421[/C][C]0.131221847163793[/C][/ROW]
[ROW][C]0.17[/C][C]-1.21647280010894[/C][C]0.129151226526872[/C][/ROW]
[ROW][C]0.18[/C][C]-1.18406885582669[/C][C]0.129536080833103[/C][/ROW]
[ROW][C]0.19[/C][C]-1.1524521747221[/C][C]0.131803970610156[/C][/ROW]
[ROW][C]0.2[/C][C]-1.12116629974726[/C][C]0.135208781793395[/C][/ROW]
[ROW][C]0.21[/C][C]-1.08991865790156[/C][C]0.138987639223105[/C][/ROW]
[ROW][C]0.22[/C][C]-1.05857137631677[/C][C]0.14250410223698[/C][/ROW]
[ROW][C]0.23[/C][C]-1.02711019571558[/C][C]0.145335323291867[/C][/ROW]
[ROW][C]0.24[/C][C]-0.995602000198324[/C][C]0.147300428295115[/C][/ROW]
[ROW][C]0.25[/C][C]-0.964150871059604[/C][C]0.148447727144129[/C][/ROW]
[ROW][C]0.26[/C][C]-0.932860919118516[/C][C]0.148977391314864[/C][/ROW]
[ROW][C]0.27[/C][C]-0.901811164637226[/C][C]0.14916009117887[/C][/ROW]
[ROW][C]0.28[/C][C]-0.871043932923993[/C][C]0.149246758325611[/C][/ROW]
[ROW][C]0.29[/C][C]-0.840564667233759[/C][C]0.149412740301053[/C][/ROW]
[ROW][C]0.3[/C][C]-0.810348766239677[/C][C]0.149748709016177[/C][/ROW]
[ROW][C]0.31[/C][C]-0.780350580322953[/C][C]0.15028425238111[/C][/ROW]
[ROW][C]0.32[/C][C]-0.750510910521636[/C][C]0.151033587035772[/C][/ROW]
[ROW][C]0.33[/C][C]-0.720761533425087[/C][C]0.152026222116012[/C][/ROW]
[ROW][C]0.34[/C][C]-0.691027465343927[/C][C]0.153324962585577[/C][/ROW]
[ROW][C]0.35[/C][C]-0.661229052050751[/C][C]0.155002239314409[/C][/ROW]
[ROW][C]0.36[/C][C]-0.631286107961408[/C][C]0.157101214086933[/C][/ROW]
[ROW][C]0.37[/C][C]-0.601125314535232[/C][C]0.15959577802665[/C][/ROW]
[ROW][C]0.38[/C][C]-0.570690413156635[/C][C]0.16236212217335[/C][/ROW]
[ROW][C]0.39[/C][C]-0.539953073381367[/C][C]0.165180665808916[/C][/ROW]
[ROW][C]0.4[/C][C]-0.508921304131388[/C][C]0.167770739574694[/C][/ROW]
[ROW][C]0.41[/C][C]-0.477642269689114[/C][C]0.169845724492304[/C][/ROW]
[ROW][C]0.42[/C][C]-0.446197396711374[/C][C]0.171179272239866[/C][/ROW]
[ROW][C]0.43[/C][C]-0.414689416738057[/C][C]0.171661426718979[/C][/ROW]
[ROW][C]0.44[/C][C]-0.383222979946014[/C][C]0.171334606878468[/C][/ROW]
[ROW][C]0.45[/C][C]-0.351882152291232[/C][C]0.170403575781614[/C][/ROW]
[ROW][C]0.46[/C][C]-0.320709027713049[/C][C]0.169215313222002[/C][/ROW]
[ROW][C]0.47[/C][C]-0.289687623993017[/C][C]0.16820955757913[/C][/ROW]
[ROW][C]0.48[/C][C]-0.258736221741718[/C][C]0.167848122311027[/C][/ROW]
[ROW][C]0.49[/C][C]-0.227709627139383[/C][C]0.168538949836711[/C][/ROW]
[ROW][C]0.5[/C][C]-0.196410925145261[/C][C]0.17056187611711[/C][/ROW]
[ROW][C]0.51[/C][C]-0.164610614613033[/C][C]0.174027734832876[/C][/ROW]
[ROW][C]0.52[/C][C]-0.132069964184815[/C][C]0.178868627923461[/C][/ROW]
[ROW][C]0.53[/C][C]-0.0985651870715552[/C][C]0.184865981445002[/C][/ROW]
[ROW][C]0.54[/C][C]-0.0639095464085042[/C][C]0.191695516205711[/C][/ROW]
[ROW][C]0.55[/C][C]-0.027971488988609[/C][C]0.198972449019938[/C][/ROW]
[ROW][C]0.56[/C][C]0.00931204628475342[/C][C]0.206285448765163[/C][/ROW]
[ROW][C]0.57[/C][C]0.0479272811435048[/C][C]0.213213882454832[/C][/ROW]
[ROW][C]0.58[/C][C]0.0877801892528472[/C][C]0.219336416034794[/C][/ROW]
[ROW][C]0.59[/C][C]0.128698371337773[/C][C]0.224241755808551[/C][/ROW]
[ROW][C]0.6[/C][C]0.170439157914233[/C][C]0.227552201843208[/C][/ROW]
[ROW][C]0.61[/C][C]0.212705256149533[/C][C]0.228964298166492[/C][/ROW]
[ROW][C]0.62[/C][C]0.255168965683945[/C][C]0.228305328727501[/C][/ROW]
[ROW][C]0.63[/C][C]0.297504801382273[/C][C]0.225593374873786[/C][/ROW]
[ROW][C]0.64[/C][C]0.33942838513385[/C][C]0.22108373603328[/C][/ROW]
[ROW][C]0.65[/C][C]0.380737159953784[/C][C]0.215291191801531[/C][/ROW]
[ROW][C]0.66[/C][C]0.421346528053698[/C][C]0.208964922041985[/C][/ROW]
[ROW][C]0.67[/C][C]0.461314137584584[/C][C]0.203013980138143[/C][/ROW]
[ROW][C]0.68[/C][C]0.500845756497886[/C][C]0.198384070585557[/C][/ROW]
[ROW][C]0.69[/C][C]0.540278618183772[/C][C]0.195889223469476[/C][/ROW]
[ROW][C]0.7[/C][C]0.580042003613786[/C][C]0.196033262475917[/C][/ROW]
[ROW][C]0.71[/C][C]0.620599451409857[/C][C]0.198876481187734[/C][/ROW]
[ROW][C]0.72[/C][C]0.662381427211677[/C][C]0.203996120261892[/C][/ROW]
[ROW][C]0.73[/C][C]0.705720545001489[/C][C]0.21056750510783[/C][/ROW]
[ROW][C]0.74[/C][C]0.750802657177471[/C][C]0.217528237568297[/C][/ROW]
[ROW][C]0.75[/C][C]0.797645766699443[/C][C]0.223792712252196[/C][/ROW]
[ROW][C]0.76[/C][C]0.846114674020216[/C][C]0.22846461003145[/C][/ROW]
[ROW][C]0.77[/C][C]0.895973054392342[/C][C]0.231020767470214[/C][/ROW]
[ROW][C]0.78[/C][C]0.946967445992388[/C][C]0.231441091014534[/C][/ROW]
[ROW][C]0.79[/C][C]0.998931269162353[/C][C]0.230266373142875[/C][/ROW]
[ROW][C]0.8[/C][C]1.05189383415593[/C][C]0.228562625601338[/C][/ROW]
[ROW][C]0.81[/C][C]1.10618165494267[/C][C]0.227794977401911[/C][/ROW]
[ROW][C]0.82[/C][C]1.16250858078652[/C][C]0.229640542461486[/C][/ROW]
[ROW][C]0.83[/C][C]1.22206596449908[/C][C]0.235816459579866[/C][/ROW]
[ROW][C]0.84[/C][C]1.28663828759419[/C][C]0.248061868916404[/C][/ROW]
[ROW][C]0.85[/C][C]1.35877108711261[/C][C]0.268391947705882[/C][/ROW]
[ROW][C]0.86[/C][C]1.44198946943595[/C][C]0.299564556231231[/C][/ROW]
[ROW][C]0.87[/C][C]1.5409927264814[/C][C]0.345315617617862[/C][/ROW]
[ROW][C]0.88[/C][C]1.66163975825217[/C][C]0.409584068885435[/C][/ROW]
[ROW][C]0.89[/C][C]1.81044082238466[/C][C]0.494097362001413[/C][/ROW]
[ROW][C]0.9[/C][C]1.99328722767478[/C][C]0.594759603451047[/C][/ROW]
[ROW][C]0.91[/C][C]2.21340423237113[/C][C]0.69862041102145[/C][/ROW]
[ROW][C]0.92[/C][C]2.46903822793192[/C][C]0.783930627878721[/C][/ROW]
[ROW][C]0.93[/C][C]2.75199227127331[/C][C]0.825427156541658[/C][/ROW]
[ROW][C]0.94[/C][C]3.04833703899006[/C][C]0.804703250870782[/C][/ROW]
[ROW][C]0.95[/C][C]3.34192625360358[/C][C]0.72136764594467[/C][/ROW]
[ROW][C]0.96[/C][C]3.61958453234624[/C][C]0.597194125866154[/C][/ROW]
[ROW][C]0.97[/C][C]3.87447671274596[/C][C]0.467308440775196[/C][/ROW]
[ROW][C]0.98[/C][C]4.10246487078068[/C][C]0.363643451950284[/C][/ROW]
[ROW][C]0.99[/C][C]4.28904653974839[/C][C]0.30706006602815[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.01-2.126473737483610.204619807379032
0.02-2.014134146996040.203206208356328
0.03-1.901906897894680.176873365445432
0.04-1.8105169336430.137568348554015
0.05-1.742134693296950.10899189551514
0.06-1.68962951460290.10469568392438
0.07-1.644336878232860.118895021471194
0.08-1.600063835099030.138334745132959
0.09-1.554052663167570.154251173207586
0.1-1.506238646181860.162870144240726
0.11-1.457966317403260.163911272918507
0.12-1.410874367791150.159203123765691
0.13-1.366218946245020.151407962108159
0.14-1.324621137752850.143042001071793
0.15-1.286102644230980.135963104603412
0.16-1.250260790854210.131221847163793
0.17-1.216472800108940.129151226526872
0.18-1.184068855826690.129536080833103
0.19-1.15245217472210.131803970610156
0.2-1.121166299747260.135208781793395
0.21-1.089918657901560.138987639223105
0.22-1.058571376316770.14250410223698
0.23-1.027110195715580.145335323291867
0.24-0.9956020001983240.147300428295115
0.25-0.9641508710596040.148447727144129
0.26-0.9328609191185160.148977391314864
0.27-0.9018111646372260.14916009117887
0.28-0.8710439329239930.149246758325611
0.29-0.8405646672337590.149412740301053
0.3-0.8103487662396770.149748709016177
0.31-0.7803505803229530.15028425238111
0.32-0.7505109105216360.151033587035772
0.33-0.7207615334250870.152026222116012
0.34-0.6910274653439270.153324962585577
0.35-0.6612290520507510.155002239314409
0.36-0.6312861079614080.157101214086933
0.37-0.6011253145352320.15959577802665
0.38-0.5706904131566350.16236212217335
0.39-0.5399530733813670.165180665808916
0.4-0.5089213041313880.167770739574694
0.41-0.4776422696891140.169845724492304
0.42-0.4461973967113740.171179272239866
0.43-0.4146894167380570.171661426718979
0.44-0.3832229799460140.171334606878468
0.45-0.3518821522912320.170403575781614
0.46-0.3207090277130490.169215313222002
0.47-0.2896876239930170.16820955757913
0.48-0.2587362217417180.167848122311027
0.49-0.2277096271393830.168538949836711
0.5-0.1964109251452610.17056187611711
0.51-0.1646106146130330.174027734832876
0.52-0.1320699641848150.178868627923461
0.53-0.09856518707155520.184865981445002
0.54-0.06390954640850420.191695516205711
0.55-0.0279714889886090.198972449019938
0.560.009312046284753420.206285448765163
0.570.04792728114350480.213213882454832
0.580.08778018925284720.219336416034794
0.590.1286983713377730.224241755808551
0.60.1704391579142330.227552201843208
0.610.2127052561495330.228964298166492
0.620.2551689656839450.228305328727501
0.630.2975048013822730.225593374873786
0.640.339428385133850.22108373603328
0.650.3807371599537840.215291191801531
0.660.4213465280536980.208964922041985
0.670.4613141375845840.203013980138143
0.680.5008457564978860.198384070585557
0.690.5402786181837720.195889223469476
0.70.5800420036137860.196033262475917
0.710.6205994514098570.198876481187734
0.720.6623814272116770.203996120261892
0.730.7057205450014890.21056750510783
0.740.7508026571774710.217528237568297
0.750.7976457666994430.223792712252196
0.760.8461146740202160.22846461003145
0.770.8959730543923420.231020767470214
0.780.9469674459923880.231441091014534
0.790.9989312691623530.230266373142875
0.81.051893834155930.228562625601338
0.811.106181654942670.227794977401911
0.821.162508580786520.229640542461486
0.831.222065964499080.235816459579866
0.841.286638287594190.248061868916404
0.851.358771087112610.268391947705882
0.861.441989469435950.299564556231231
0.871.54099272648140.345315617617862
0.881.661639758252170.409584068885435
0.891.810440822384660.494097362001413
0.91.993287227674780.594759603451047
0.912.213404232371130.69862041102145
0.922.469038227931920.783930627878721
0.932.751992271273310.825427156541658
0.943.048337038990060.804703250870782
0.953.341926253603580.72136764594467
0.963.619584532346240.597194125866154
0.973.874476712745960.467308440775196
0.984.102464870780680.363643451950284
0.994.289046539748390.30706006602815


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')