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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 11 Jan 2016 08:37:19 +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/Jan/11/t14525014557oc2jx1ja4763z7.htm/, Retrieved Tue, 07 May 2024 09:44:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=288598, Retrieved Tue, 07 May 2024 09:44:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact63

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Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.7923
-2.468
-2.996
3.119
0.04315
0.731
2.45
2.119
-1.429
-1.644
-3.065
-1.461
1.141
1.329
0.3396
0.8429
2.225
-1.924
0.4999
-0.6433

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=288598&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=288598&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=288598&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-3.053741815175780.0875278852197861
0.02-3.036177564101470.12215541335741
0.03-3.011703119722320.16633285801774
0.04-2.980006389545710.216267621423642
0.05-2.941061969876270.268433872340559
0.06-2.895108789283520.319794698590111
0.07-2.842614664928570.367909925538612
0.08-2.784231702480120.410980044643236
0.09-2.720746382336910.447843421454154
0.1-2.653027952624670.477923624303932
0.11-2.581978367391620.501147615350799
0.12-2.508486474235480.517848780935369
0.13-2.433388509650750.528665344044164
0.14-2.357436263640120.534461127696966
0.15-2.281273593243620.536238178811881
0.16-2.205421354267140.535082276405163
0.17-2.130270320743540.532103586783296
0.18-2.056081291221470.528399176349104
0.19-1.982991339911410.525009761326392
0.2-1.911025045159520.522875803533164
0.21-1.840109495650520.522804769597659
0.22-1.770091911427890.525425190438419
0.23-1.700758799013940.531157964728513
0.24-1.63185566847090.54019218347595
0.25-1.563106461226510.552486936524326
0.26-1.494231962048060.567783563300258
0.27-1.424966592033850.585640660479626
0.28-1.355073100165590.605473206876359
0.29-1.284354788693150.626600462385731
0.3-1.212665022739790.648286827503757
0.31-1.139913887018980.669780605625091
0.32-1.066071961643720.690347259720038
0.33-0.9911712929599750.709295649158215
0.34-0.9153037316199730.726001113910389
0.35-0.8386168957088780.739921562158652
0.36-0.7613080885263320.750613945477079
0.37-0.6836165557906350.757740254504004
0.38-0.6058145034374780.761073889135837
0.39-0.5281973136374580.760502256074012
0.4-0.4510733930806530.756021390024636
0.41-0.3747540650548470.747731991970816
0.42-0.2995438775466350.735829701948088
0.43-0.2257316466120740.720592945613867
0.44-0.1535824913638420.702369993307815
0.45-0.08333104826257950.681564166405907
0.46-0.01517598222387170.658618611685479
0.470.05072415560729280.634002501778268
0.480.1142537351390290.608196584333644
0.490.1753415839947210.581681346236257
0.50.2339613594137170.554926468326339
0.510.2901308905189930.528382682797158
0.520.3439106427580970.502475500618794
0.530.3954014609031750.477601283711208
0.540.444741740680440.454125988066997
0.550.4921041636604240.432382533091325
0.560.5376921076596820.412673219014838
0.570.5817358180169090.395268131676566
0.580.624488396253260.380403982093898
0.590.6662216343339510.368282253138547
0.60.7072216974282040.359063983149895
0.610.74778463794340.352861750501198
0.620.7882117106728880.349733838882377
0.630.8288044548445840.349674850171641
0.640.869859515053280.352611545977028
0.650.9116631904662630.358400902904571
0.660.9544857307822520.366830254391158
0.670.9985754380619130.377620585085965
0.681.044152684845780.390432023373335
0.691.091404019130570.404866860505887
0.71.140476592911670.420477095902399
0.711.19147321902580.436765585616654
0.721.244448425532550.453196487082815
0.731.299405931076050.469201948880036
0.741.356298000433090.484195086274251
0.751.415027147365940.497586957266495
0.761.475450621405770.508805920259008
0.771.537388034828370.51732541716576
0.781.600632343824940.522690217959683
0.791.664964181741120.52454991396133
0.81.730169241409940.522689890363663
0.811.796058010195950.517064059833768
0.821.862486673673940.507823453568266
0.831.929377431104290.495342591993061
0.841.996735835066360.480240002064076
0.852.06466213249880.463392876867146
0.862.133353035489980.445942662235792
0.872.203090024065260.429285927528675
0.882.274210367450860.415032831799965
0.892.347057778158620.404909881035482
0.92.421911241572690.400582897416264
0.912.498893325894520.403392835078886
0.922.577863305397740.414072061832188
0.932.658305645390270.432540307653508
0.942.739230379166060.457866047612026
0.952.819107762787830.488382741025556
0.962.895863874662860.521887746853989
0.972.9669645561120.555859919297984
0.983.029609971448460.587687159494233
0.993.08104895744760.614918391699239

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -3.05374181517578 & 0.0875278852197861 \tabularnewline
0.02 & -3.03617756410147 & 0.12215541335741 \tabularnewline
0.03 & -3.01170311972232 & 0.16633285801774 \tabularnewline
0.04 & -2.98000638954571 & 0.216267621423642 \tabularnewline
0.05 & -2.94106196987627 & 0.268433872340559 \tabularnewline
0.06 & -2.89510878928352 & 0.319794698590111 \tabularnewline
0.07 & -2.84261466492857 & 0.367909925538612 \tabularnewline
0.08 & -2.78423170248012 & 0.410980044643236 \tabularnewline
0.09 & -2.72074638233691 & 0.447843421454154 \tabularnewline
0.1 & -2.65302795262467 & 0.477923624303932 \tabularnewline
0.11 & -2.58197836739162 & 0.501147615350799 \tabularnewline
0.12 & -2.50848647423548 & 0.517848780935369 \tabularnewline
0.13 & -2.43338850965075 & 0.528665344044164 \tabularnewline
0.14 & -2.35743626364012 & 0.534461127696966 \tabularnewline
0.15 & -2.28127359324362 & 0.536238178811881 \tabularnewline
0.16 & -2.20542135426714 & 0.535082276405163 \tabularnewline
0.17 & -2.13027032074354 & 0.532103586783296 \tabularnewline
0.18 & -2.05608129122147 & 0.528399176349104 \tabularnewline
0.19 & -1.98299133991141 & 0.525009761326392 \tabularnewline
0.2 & -1.91102504515952 & 0.522875803533164 \tabularnewline
0.21 & -1.84010949565052 & 0.522804769597659 \tabularnewline
0.22 & -1.77009191142789 & 0.525425190438419 \tabularnewline
0.23 & -1.70075879901394 & 0.531157964728513 \tabularnewline
0.24 & -1.6318556684709 & 0.54019218347595 \tabularnewline
0.25 & -1.56310646122651 & 0.552486936524326 \tabularnewline
0.26 & -1.49423196204806 & 0.567783563300258 \tabularnewline
0.27 & -1.42496659203385 & 0.585640660479626 \tabularnewline
0.28 & -1.35507310016559 & 0.605473206876359 \tabularnewline
0.29 & -1.28435478869315 & 0.626600462385731 \tabularnewline
0.3 & -1.21266502273979 & 0.648286827503757 \tabularnewline
0.31 & -1.13991388701898 & 0.669780605625091 \tabularnewline
0.32 & -1.06607196164372 & 0.690347259720038 \tabularnewline
0.33 & -0.991171292959975 & 0.709295649158215 \tabularnewline
0.34 & -0.915303731619973 & 0.726001113910389 \tabularnewline
0.35 & -0.838616895708878 & 0.739921562158652 \tabularnewline
0.36 & -0.761308088526332 & 0.750613945477079 \tabularnewline
0.37 & -0.683616555790635 & 0.757740254504004 \tabularnewline
0.38 & -0.605814503437478 & 0.761073889135837 \tabularnewline
0.39 & -0.528197313637458 & 0.760502256074012 \tabularnewline
0.4 & -0.451073393080653 & 0.756021390024636 \tabularnewline
0.41 & -0.374754065054847 & 0.747731991970816 \tabularnewline
0.42 & -0.299543877546635 & 0.735829701948088 \tabularnewline
0.43 & -0.225731646612074 & 0.720592945613867 \tabularnewline
0.44 & -0.153582491363842 & 0.702369993307815 \tabularnewline
0.45 & -0.0833310482625795 & 0.681564166405907 \tabularnewline
0.46 & -0.0151759822238717 & 0.658618611685479 \tabularnewline
0.47 & 0.0507241556072928 & 0.634002501778268 \tabularnewline
0.48 & 0.114253735139029 & 0.608196584333644 \tabularnewline
0.49 & 0.175341583994721 & 0.581681346236257 \tabularnewline
0.5 & 0.233961359413717 & 0.554926468326339 \tabularnewline
0.51 & 0.290130890518993 & 0.528382682797158 \tabularnewline
0.52 & 0.343910642758097 & 0.502475500618794 \tabularnewline
0.53 & 0.395401460903175 & 0.477601283711208 \tabularnewline
0.54 & 0.44474174068044 & 0.454125988066997 \tabularnewline
0.55 & 0.492104163660424 & 0.432382533091325 \tabularnewline
0.56 & 0.537692107659682 & 0.412673219014838 \tabularnewline
0.57 & 0.581735818016909 & 0.395268131676566 \tabularnewline
0.58 & 0.62448839625326 & 0.380403982093898 \tabularnewline
0.59 & 0.666221634333951 & 0.368282253138547 \tabularnewline
0.6 & 0.707221697428204 & 0.359063983149895 \tabularnewline
0.61 & 0.7477846379434 & 0.352861750501198 \tabularnewline
0.62 & 0.788211710672888 & 0.349733838882377 \tabularnewline
0.63 & 0.828804454844584 & 0.349674850171641 \tabularnewline
0.64 & 0.86985951505328 & 0.352611545977028 \tabularnewline
0.65 & 0.911663190466263 & 0.358400902904571 \tabularnewline
0.66 & 0.954485730782252 & 0.366830254391158 \tabularnewline
0.67 & 0.998575438061913 & 0.377620585085965 \tabularnewline
0.68 & 1.04415268484578 & 0.390432023373335 \tabularnewline
0.69 & 1.09140401913057 & 0.404866860505887 \tabularnewline
0.7 & 1.14047659291167 & 0.420477095902399 \tabularnewline
0.71 & 1.1914732190258 & 0.436765585616654 \tabularnewline
0.72 & 1.24444842553255 & 0.453196487082815 \tabularnewline
0.73 & 1.29940593107605 & 0.469201948880036 \tabularnewline
0.74 & 1.35629800043309 & 0.484195086274251 \tabularnewline
0.75 & 1.41502714736594 & 0.497586957266495 \tabularnewline
0.76 & 1.47545062140577 & 0.508805920259008 \tabularnewline
0.77 & 1.53738803482837 & 0.51732541716576 \tabularnewline
0.78 & 1.60063234382494 & 0.522690217959683 \tabularnewline
0.79 & 1.66496418174112 & 0.52454991396133 \tabularnewline
0.8 & 1.73016924140994 & 0.522689890363663 \tabularnewline
0.81 & 1.79605801019595 & 0.517064059833768 \tabularnewline
0.82 & 1.86248667367394 & 0.507823453568266 \tabularnewline
0.83 & 1.92937743110429 & 0.495342591993061 \tabularnewline
0.84 & 1.99673583506636 & 0.480240002064076 \tabularnewline
0.85 & 2.0646621324988 & 0.463392876867146 \tabularnewline
0.86 & 2.13335303548998 & 0.445942662235792 \tabularnewline
0.87 & 2.20309002406526 & 0.429285927528675 \tabularnewline
0.88 & 2.27421036745086 & 0.415032831799965 \tabularnewline
0.89 & 2.34705777815862 & 0.404909881035482 \tabularnewline
0.9 & 2.42191124157269 & 0.400582897416264 \tabularnewline
0.91 & 2.49889332589452 & 0.403392835078886 \tabularnewline
0.92 & 2.57786330539774 & 0.414072061832188 \tabularnewline
0.93 & 2.65830564539027 & 0.432540307653508 \tabularnewline
0.94 & 2.73923037916606 & 0.457866047612026 \tabularnewline
0.95 & 2.81910776278783 & 0.488382741025556 \tabularnewline
0.96 & 2.89586387466286 & 0.521887746853989 \tabularnewline
0.97 & 2.966964556112 & 0.555859919297984 \tabularnewline
0.98 & 3.02960997144846 & 0.587687159494233 \tabularnewline
0.99 & 3.0810489574476 & 0.614918391699239 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=288598&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]-3.05374181517578[/C][C]0.0875278852197861[/C][/ROW]
[ROW][C]0.02[/C][C]-3.03617756410147[/C][C]0.12215541335741[/C][/ROW]
[ROW][C]0.03[/C][C]-3.01170311972232[/C][C]0.16633285801774[/C][/ROW]
[ROW][C]0.04[/C][C]-2.98000638954571[/C][C]0.216267621423642[/C][/ROW]
[ROW][C]0.05[/C][C]-2.94106196987627[/C][C]0.268433872340559[/C][/ROW]
[ROW][C]0.06[/C][C]-2.89510878928352[/C][C]0.319794698590111[/C][/ROW]
[ROW][C]0.07[/C][C]-2.84261466492857[/C][C]0.367909925538612[/C][/ROW]
[ROW][C]0.08[/C][C]-2.78423170248012[/C][C]0.410980044643236[/C][/ROW]
[ROW][C]0.09[/C][C]-2.72074638233691[/C][C]0.447843421454154[/C][/ROW]
[ROW][C]0.1[/C][C]-2.65302795262467[/C][C]0.477923624303932[/C][/ROW]
[ROW][C]0.11[/C][C]-2.58197836739162[/C][C]0.501147615350799[/C][/ROW]
[ROW][C]0.12[/C][C]-2.50848647423548[/C][C]0.517848780935369[/C][/ROW]
[ROW][C]0.13[/C][C]-2.43338850965075[/C][C]0.528665344044164[/C][/ROW]
[ROW][C]0.14[/C][C]-2.35743626364012[/C][C]0.534461127696966[/C][/ROW]
[ROW][C]0.15[/C][C]-2.28127359324362[/C][C]0.536238178811881[/C][/ROW]
[ROW][C]0.16[/C][C]-2.20542135426714[/C][C]0.535082276405163[/C][/ROW]
[ROW][C]0.17[/C][C]-2.13027032074354[/C][C]0.532103586783296[/C][/ROW]
[ROW][C]0.18[/C][C]-2.05608129122147[/C][C]0.528399176349104[/C][/ROW]
[ROW][C]0.19[/C][C]-1.98299133991141[/C][C]0.525009761326392[/C][/ROW]
[ROW][C]0.2[/C][C]-1.91102504515952[/C][C]0.522875803533164[/C][/ROW]
[ROW][C]0.21[/C][C]-1.84010949565052[/C][C]0.522804769597659[/C][/ROW]
[ROW][C]0.22[/C][C]-1.77009191142789[/C][C]0.525425190438419[/C][/ROW]
[ROW][C]0.23[/C][C]-1.70075879901394[/C][C]0.531157964728513[/C][/ROW]
[ROW][C]0.24[/C][C]-1.6318556684709[/C][C]0.54019218347595[/C][/ROW]
[ROW][C]0.25[/C][C]-1.56310646122651[/C][C]0.552486936524326[/C][/ROW]
[ROW][C]0.26[/C][C]-1.49423196204806[/C][C]0.567783563300258[/C][/ROW]
[ROW][C]0.27[/C][C]-1.42496659203385[/C][C]0.585640660479626[/C][/ROW]
[ROW][C]0.28[/C][C]-1.35507310016559[/C][C]0.605473206876359[/C][/ROW]
[ROW][C]0.29[/C][C]-1.28435478869315[/C][C]0.626600462385731[/C][/ROW]
[ROW][C]0.3[/C][C]-1.21266502273979[/C][C]0.648286827503757[/C][/ROW]
[ROW][C]0.31[/C][C]-1.13991388701898[/C][C]0.669780605625091[/C][/ROW]
[ROW][C]0.32[/C][C]-1.06607196164372[/C][C]0.690347259720038[/C][/ROW]
[ROW][C]0.33[/C][C]-0.991171292959975[/C][C]0.709295649158215[/C][/ROW]
[ROW][C]0.34[/C][C]-0.915303731619973[/C][C]0.726001113910389[/C][/ROW]
[ROW][C]0.35[/C][C]-0.838616895708878[/C][C]0.739921562158652[/C][/ROW]
[ROW][C]0.36[/C][C]-0.761308088526332[/C][C]0.750613945477079[/C][/ROW]
[ROW][C]0.37[/C][C]-0.683616555790635[/C][C]0.757740254504004[/C][/ROW]
[ROW][C]0.38[/C][C]-0.605814503437478[/C][C]0.761073889135837[/C][/ROW]
[ROW][C]0.39[/C][C]-0.528197313637458[/C][C]0.760502256074012[/C][/ROW]
[ROW][C]0.4[/C][C]-0.451073393080653[/C][C]0.756021390024636[/C][/ROW]
[ROW][C]0.41[/C][C]-0.374754065054847[/C][C]0.747731991970816[/C][/ROW]
[ROW][C]0.42[/C][C]-0.299543877546635[/C][C]0.735829701948088[/C][/ROW]
[ROW][C]0.43[/C][C]-0.225731646612074[/C][C]0.720592945613867[/C][/ROW]
[ROW][C]0.44[/C][C]-0.153582491363842[/C][C]0.702369993307815[/C][/ROW]
[ROW][C]0.45[/C][C]-0.0833310482625795[/C][C]0.681564166405907[/C][/ROW]
[ROW][C]0.46[/C][C]-0.0151759822238717[/C][C]0.658618611685479[/C][/ROW]
[ROW][C]0.47[/C][C]0.0507241556072928[/C][C]0.634002501778268[/C][/ROW]
[ROW][C]0.48[/C][C]0.114253735139029[/C][C]0.608196584333644[/C][/ROW]
[ROW][C]0.49[/C][C]0.175341583994721[/C][C]0.581681346236257[/C][/ROW]
[ROW][C]0.5[/C][C]0.233961359413717[/C][C]0.554926468326339[/C][/ROW]
[ROW][C]0.51[/C][C]0.290130890518993[/C][C]0.528382682797158[/C][/ROW]
[ROW][C]0.52[/C][C]0.343910642758097[/C][C]0.502475500618794[/C][/ROW]
[ROW][C]0.53[/C][C]0.395401460903175[/C][C]0.477601283711208[/C][/ROW]
[ROW][C]0.54[/C][C]0.44474174068044[/C][C]0.454125988066997[/C][/ROW]
[ROW][C]0.55[/C][C]0.492104163660424[/C][C]0.432382533091325[/C][/ROW]
[ROW][C]0.56[/C][C]0.537692107659682[/C][C]0.412673219014838[/C][/ROW]
[ROW][C]0.57[/C][C]0.581735818016909[/C][C]0.395268131676566[/C][/ROW]
[ROW][C]0.58[/C][C]0.62448839625326[/C][C]0.380403982093898[/C][/ROW]
[ROW][C]0.59[/C][C]0.666221634333951[/C][C]0.368282253138547[/C][/ROW]
[ROW][C]0.6[/C][C]0.707221697428204[/C][C]0.359063983149895[/C][/ROW]
[ROW][C]0.61[/C][C]0.7477846379434[/C][C]0.352861750501198[/C][/ROW]
[ROW][C]0.62[/C][C]0.788211710672888[/C][C]0.349733838882377[/C][/ROW]
[ROW][C]0.63[/C][C]0.828804454844584[/C][C]0.349674850171641[/C][/ROW]
[ROW][C]0.64[/C][C]0.86985951505328[/C][C]0.352611545977028[/C][/ROW]
[ROW][C]0.65[/C][C]0.911663190466263[/C][C]0.358400902904571[/C][/ROW]
[ROW][C]0.66[/C][C]0.954485730782252[/C][C]0.366830254391158[/C][/ROW]
[ROW][C]0.67[/C][C]0.998575438061913[/C][C]0.377620585085965[/C][/ROW]
[ROW][C]0.68[/C][C]1.04415268484578[/C][C]0.390432023373335[/C][/ROW]
[ROW][C]0.69[/C][C]1.09140401913057[/C][C]0.404866860505887[/C][/ROW]
[ROW][C]0.7[/C][C]1.14047659291167[/C][C]0.420477095902399[/C][/ROW]
[ROW][C]0.71[/C][C]1.1914732190258[/C][C]0.436765585616654[/C][/ROW]
[ROW][C]0.72[/C][C]1.24444842553255[/C][C]0.453196487082815[/C][/ROW]
[ROW][C]0.73[/C][C]1.29940593107605[/C][C]0.469201948880036[/C][/ROW]
[ROW][C]0.74[/C][C]1.35629800043309[/C][C]0.484195086274251[/C][/ROW]
[ROW][C]0.75[/C][C]1.41502714736594[/C][C]0.497586957266495[/C][/ROW]
[ROW][C]0.76[/C][C]1.47545062140577[/C][C]0.508805920259008[/C][/ROW]
[ROW][C]0.77[/C][C]1.53738803482837[/C][C]0.51732541716576[/C][/ROW]
[ROW][C]0.78[/C][C]1.60063234382494[/C][C]0.522690217959683[/C][/ROW]
[ROW][C]0.79[/C][C]1.66496418174112[/C][C]0.52454991396133[/C][/ROW]
[ROW][C]0.8[/C][C]1.73016924140994[/C][C]0.522689890363663[/C][/ROW]
[ROW][C]0.81[/C][C]1.79605801019595[/C][C]0.517064059833768[/C][/ROW]
[ROW][C]0.82[/C][C]1.86248667367394[/C][C]0.507823453568266[/C][/ROW]
[ROW][C]0.83[/C][C]1.92937743110429[/C][C]0.495342591993061[/C][/ROW]
[ROW][C]0.84[/C][C]1.99673583506636[/C][C]0.480240002064076[/C][/ROW]
[ROW][C]0.85[/C][C]2.0646621324988[/C][C]0.463392876867146[/C][/ROW]
[ROW][C]0.86[/C][C]2.13335303548998[/C][C]0.445942662235792[/C][/ROW]
[ROW][C]0.87[/C][C]2.20309002406526[/C][C]0.429285927528675[/C][/ROW]
[ROW][C]0.88[/C][C]2.27421036745086[/C][C]0.415032831799965[/C][/ROW]
[ROW][C]0.89[/C][C]2.34705777815862[/C][C]0.404909881035482[/C][/ROW]
[ROW][C]0.9[/C][C]2.42191124157269[/C][C]0.400582897416264[/C][/ROW]
[ROW][C]0.91[/C][C]2.49889332589452[/C][C]0.403392835078886[/C][/ROW]
[ROW][C]0.92[/C][C]2.57786330539774[/C][C]0.414072061832188[/C][/ROW]
[ROW][C]0.93[/C][C]2.65830564539027[/C][C]0.432540307653508[/C][/ROW]
[ROW][C]0.94[/C][C]2.73923037916606[/C][C]0.457866047612026[/C][/ROW]
[ROW][C]0.95[/C][C]2.81910776278783[/C][C]0.488382741025556[/C][/ROW]
[ROW][C]0.96[/C][C]2.89586387466286[/C][C]0.521887746853989[/C][/ROW]
[ROW][C]0.97[/C][C]2.966964556112[/C][C]0.555859919297984[/C][/ROW]
[ROW][C]0.98[/C][C]3.02960997144846[/C][C]0.587687159494233[/C][/ROW]
[ROW][C]0.99[/C][C]3.0810489574476[/C][C]0.614918391699239[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=288598&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=288598&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
0.01-3.053741815175780.0875278852197861
0.02-3.036177564101470.12215541335741
0.03-3.011703119722320.16633285801774
0.04-2.980006389545710.216267621423642
0.05-2.941061969876270.268433872340559
0.06-2.895108789283520.319794698590111
0.07-2.842614664928570.367909925538612
0.08-2.784231702480120.410980044643236
0.09-2.720746382336910.447843421454154
0.1-2.653027952624670.477923624303932
0.11-2.581978367391620.501147615350799
0.12-2.508486474235480.517848780935369
0.13-2.433388509650750.528665344044164
0.14-2.357436263640120.534461127696966
0.15-2.281273593243620.536238178811881
0.16-2.205421354267140.535082276405163
0.17-2.130270320743540.532103586783296
0.18-2.056081291221470.528399176349104
0.19-1.982991339911410.525009761326392
0.2-1.911025045159520.522875803533164
0.21-1.840109495650520.522804769597659
0.22-1.770091911427890.525425190438419
0.23-1.700758799013940.531157964728513
0.24-1.63185566847090.54019218347595
0.25-1.563106461226510.552486936524326
0.26-1.494231962048060.567783563300258
0.27-1.424966592033850.585640660479626
0.28-1.355073100165590.605473206876359
0.29-1.284354788693150.626600462385731
0.3-1.212665022739790.648286827503757
0.31-1.139913887018980.669780605625091
0.32-1.066071961643720.690347259720038
0.33-0.9911712929599750.709295649158215
0.34-0.9153037316199730.726001113910389
0.35-0.8386168957088780.739921562158652
0.36-0.7613080885263320.750613945477079
0.37-0.6836165557906350.757740254504004
0.38-0.6058145034374780.761073889135837
0.39-0.5281973136374580.760502256074012
0.4-0.4510733930806530.756021390024636
0.41-0.3747540650548470.747731991970816
0.42-0.2995438775466350.735829701948088
0.43-0.2257316466120740.720592945613867
0.44-0.1535824913638420.702369993307815
0.45-0.08333104826257950.681564166405907
0.46-0.01517598222387170.658618611685479
0.470.05072415560729280.634002501778268
0.480.1142537351390290.608196584333644
0.490.1753415839947210.581681346236257
0.50.2339613594137170.554926468326339
0.510.2901308905189930.528382682797158
0.520.3439106427580970.502475500618794
0.530.3954014609031750.477601283711208
0.540.444741740680440.454125988066997
0.550.4921041636604240.432382533091325
0.560.5376921076596820.412673219014838
0.570.5817358180169090.395268131676566
0.580.624488396253260.380403982093898
0.590.6662216343339510.368282253138547
0.60.7072216974282040.359063983149895
0.610.74778463794340.352861750501198
0.620.7882117106728880.349733838882377
0.630.8288044548445840.349674850171641
0.640.869859515053280.352611545977028
0.650.9116631904662630.358400902904571
0.660.9544857307822520.366830254391158
0.670.9985754380619130.377620585085965
0.681.044152684845780.390432023373335
0.691.091404019130570.404866860505887
0.71.140476592911670.420477095902399
0.711.19147321902580.436765585616654
0.721.244448425532550.453196487082815
0.731.299405931076050.469201948880036
0.741.356298000433090.484195086274251
0.751.415027147365940.497586957266495
0.761.475450621405770.508805920259008
0.771.537388034828370.51732541716576
0.781.600632343824940.522690217959683
0.791.664964181741120.52454991396133
0.81.730169241409940.522689890363663
0.811.796058010195950.517064059833768
0.821.862486673673940.507823453568266
0.831.929377431104290.495342591993061
0.841.996735835066360.480240002064076
0.852.06466213249880.463392876867146
0.862.133353035489980.445942662235792
0.872.203090024065260.429285927528675
0.882.274210367450860.415032831799965
0.892.347057778158620.404909881035482
0.92.421911241572690.400582897416264
0.912.498893325894520.403392835078886
0.922.577863305397740.414072061832188
0.932.658305645390270.432540307653508
0.942.739230379166060.457866047612026
0.952.819107762787830.488382741025556
0.962.895863874662860.521887746853989
0.972.9669645561120.555859919297984
0.983.029609971448460.587687159494233
0.993.08104895744760.614918391699239


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')