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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 08 Oct 2014 10:55:41 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/08/t1412762226wa5wwokj4x5lppu.htm/, Retrieved Sun, 12 May 2024 03:54:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239462, Retrieved Sun, 12 May 2024 03:54:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-10-08 09:55:41] [deb17a426e61079f456ada9a85a82a78] [Current]
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Dataseries X:
1.5
1.6
1.8
1.5
1.3
1.6
1.6
1.8
1.8
1.6
1.8
2
1.3
1.1
1
1.2
1.2
1.3
1.3
1.4
1.1
0.9
1
1.1
1.4
1.5
1.8
1.8
1.8
1.7
1.5
1.1
1.3
1.6
1.9
1.9
2
2.2
2.2
2
2.3
2.6
3.2
3.2
3.1
2.8
2.3
1.9
1.9
2
2
1.8
1.6
1.4
0.2
0.3
0.4
0.7
1
1.1
0.8
0.8
1
1.1
1
0.8
1.6
1.5
1.6
1.6
1.6
1.9
2
1.9
2
2.1
2.3
2.3
2.6
2.6
2.7
2.6
2.6
2.4
2.5
2.5
2.5
2.4
2.1
2.1
2.3
2.3
2.3
2.9
2.8
2.9
3
3
2.9
2.6
2.8
2.9
3.1
2.8
2.4
1.6
1.5
1.7




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239462&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239462&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239462&T=0

As an alternative you can also use a 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'Sir Maurice George Kendall' @ kendall.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
00.2NA
0.010.2749598645337420.132433610609288
0.020.4053572972479470.191731166535147
0.030.5469515490086960.202724487905387
0.040.6699808007067170.169045979933512
0.050.7636678722479110.131342867803924
0.060.832519539197570.110027344410245
0.070.8854579392451880.0992620562687629
0.080.9286179930401540.0895668948782615
0.090.9647716763845280.0791043108540225
0.10.9953330230462580.0703584328665507
0.111.021684690077870.0653316126276616
0.121.045344540703470.0640121278171384
0.131.067699717892350.0655481276356173
0.141.089844767516410.0694312574355729
0.151.112582872932430.0753563305192259
0.161.136454761142290.0826351322219733
0.171.161724128746160.09009961859223
0.181.188356931367150.0965214274786647
0.191.216057711117590.101089830137226
0.21.244376949494550.103642990712516
0.211.272846050547930.104553458098055
0.221.301079469574980.104403059799776
0.231.32880941461120.103630039298952
0.241.35585986989470.102367186260461
0.251.382094291399820.100482333641218
0.261.407373175878420.0977738390232745
0.271.43154040163780.094132394137679
0.281.454436123762810.0896223417065552
0.291.475921685819280.0844477187741947
0.31.495902201529880.0788756342142466
0.311.514340700337630.0731717990602439
0.321.531266318877950.0675948860375668
0.331.546782242173410.0624363916804295
0.341.561075916470590.0580865356721618
0.351.574427599943370.0550437212948325
0.361.587208307320030.0538473617073099
0.371.599858123483640.0549016340100628
0.381.612841316471140.0582554676557476
0.391.62658343238880.0635038614062346
0.41.641403821996830.0698686162956373
0.411.657461263129530.076384682479783
0.421.674728581716330.0821079815422391
0.431.693004811666060.0862900543270578
0.441.711962915611650.088515448303706
0.451.731220990625110.0887595782397137
0.461.750418605581360.0873583343530189
0.471.769279459356510.0849094545878058
0.481.78764681300390.0820935011681108
0.491.805487047446030.0795187026552639
0.51.822866036921870.0775821745448059
0.511.839909782202720.0764230046770314
0.521.856763165079380.075967077810639
0.531.873558748331450.0760223143755525
0.541.89040264488930.0763984123225031
0.551.907378579363580.0769842820285853
0.561.924566043024580.0778008445205919
0.571.942064847799750.0790137122975668
0.581.960016714429560.0808891492161495
0.591.978614811268810.083731052036573
0.61.998094440294150.0877563865191273
0.612.018702361266140.0929672495820504
0.622.040648183885030.0990795867806641
0.632.064047729243330.105502308779238
0.642.08887339661350.111427994457002
0.652.114928225845210.116003132902187
0.662.141856949635810.118519534577245
0.672.169198749104950.118592688421016
0.682.196474429679310.116318525038364
0.692.223288779937990.112266827802279
0.72.249421146133190.107426561627114
0.712.274877169729670.102971164901584
0.722.299883357530290.0999582777282926
0.732.324821766863440.0990016489817572
0.742.350119988435480.100062799103796
0.752.376126135802840.102454560492943
0.762.403005137621440.105104263574882
0.772.430689316905460.106897168462501
0.782.458903697582330.107003335110792
0.792.487266829836120.105134897978167
0.82.515443916161280.101687907373788
0.812.543305004194360.0977105982513738
0.822.571025293746830.0946408936958758
0.832.599069624137670.0937463907897703
0.842.628039248425180.0953978603886317
0.852.658421774834050.0986471627679965
0.862.690346899883990.101579898130569
0.872.723469532099520.10223746057966
0.882.757054164585370.0995232239567493
0.892.790244181027180.0936137881201018
0.92.822427926910340.0858106098096964
0.912.85359455600030.0781160064666253
0.922.884568925589170.072868049412083
0.932.916975616634640.0720381722742806
0.942.952781809219450.0755263428637415
0.952.993508519275390.0801536687166507
0.963.039620987367460.0817162574042518
0.973.090254412248550.0786583167727984
0.983.141466549549630.0693991197246777
0.993.182366217790940.0408253355852861
13.2NA

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0 & 0.2 & NA \tabularnewline
0.01 & 0.274959864533742 & 0.132433610609288 \tabularnewline
0.02 & 0.405357297247947 & 0.191731166535147 \tabularnewline
0.03 & 0.546951549008696 & 0.202724487905387 \tabularnewline
0.04 & 0.669980800706717 & 0.169045979933512 \tabularnewline
0.05 & 0.763667872247911 & 0.131342867803924 \tabularnewline
0.06 & 0.83251953919757 & 0.110027344410245 \tabularnewline
0.07 & 0.885457939245188 & 0.0992620562687629 \tabularnewline
0.08 & 0.928617993040154 & 0.0895668948782615 \tabularnewline
0.09 & 0.964771676384528 & 0.0791043108540225 \tabularnewline
0.1 & 0.995333023046258 & 0.0703584328665507 \tabularnewline
0.11 & 1.02168469007787 & 0.0653316126276616 \tabularnewline
0.12 & 1.04534454070347 & 0.0640121278171384 \tabularnewline
0.13 & 1.06769971789235 & 0.0655481276356173 \tabularnewline
0.14 & 1.08984476751641 & 0.0694312574355729 \tabularnewline
0.15 & 1.11258287293243 & 0.0753563305192259 \tabularnewline
0.16 & 1.13645476114229 & 0.0826351322219733 \tabularnewline
0.17 & 1.16172412874616 & 0.09009961859223 \tabularnewline
0.18 & 1.18835693136715 & 0.0965214274786647 \tabularnewline
0.19 & 1.21605771111759 & 0.101089830137226 \tabularnewline
0.2 & 1.24437694949455 & 0.103642990712516 \tabularnewline
0.21 & 1.27284605054793 & 0.104553458098055 \tabularnewline
0.22 & 1.30107946957498 & 0.104403059799776 \tabularnewline
0.23 & 1.3288094146112 & 0.103630039298952 \tabularnewline
0.24 & 1.3558598698947 & 0.102367186260461 \tabularnewline
0.25 & 1.38209429139982 & 0.100482333641218 \tabularnewline
0.26 & 1.40737317587842 & 0.0977738390232745 \tabularnewline
0.27 & 1.4315404016378 & 0.094132394137679 \tabularnewline
0.28 & 1.45443612376281 & 0.0896223417065552 \tabularnewline
0.29 & 1.47592168581928 & 0.0844477187741947 \tabularnewline
0.3 & 1.49590220152988 & 0.0788756342142466 \tabularnewline
0.31 & 1.51434070033763 & 0.0731717990602439 \tabularnewline
0.32 & 1.53126631887795 & 0.0675948860375668 \tabularnewline
0.33 & 1.54678224217341 & 0.0624363916804295 \tabularnewline
0.34 & 1.56107591647059 & 0.0580865356721618 \tabularnewline
0.35 & 1.57442759994337 & 0.0550437212948325 \tabularnewline
0.36 & 1.58720830732003 & 0.0538473617073099 \tabularnewline
0.37 & 1.59985812348364 & 0.0549016340100628 \tabularnewline
0.38 & 1.61284131647114 & 0.0582554676557476 \tabularnewline
0.39 & 1.6265834323888 & 0.0635038614062346 \tabularnewline
0.4 & 1.64140382199683 & 0.0698686162956373 \tabularnewline
0.41 & 1.65746126312953 & 0.076384682479783 \tabularnewline
0.42 & 1.67472858171633 & 0.0821079815422391 \tabularnewline
0.43 & 1.69300481166606 & 0.0862900543270578 \tabularnewline
0.44 & 1.71196291561165 & 0.088515448303706 \tabularnewline
0.45 & 1.73122099062511 & 0.0887595782397137 \tabularnewline
0.46 & 1.75041860558136 & 0.0873583343530189 \tabularnewline
0.47 & 1.76927945935651 & 0.0849094545878058 \tabularnewline
0.48 & 1.7876468130039 & 0.0820935011681108 \tabularnewline
0.49 & 1.80548704744603 & 0.0795187026552639 \tabularnewline
0.5 & 1.82286603692187 & 0.0775821745448059 \tabularnewline
0.51 & 1.83990978220272 & 0.0764230046770314 \tabularnewline
0.52 & 1.85676316507938 & 0.075967077810639 \tabularnewline
0.53 & 1.87355874833145 & 0.0760223143755525 \tabularnewline
0.54 & 1.8904026448893 & 0.0763984123225031 \tabularnewline
0.55 & 1.90737857936358 & 0.0769842820285853 \tabularnewline
0.56 & 1.92456604302458 & 0.0778008445205919 \tabularnewline
0.57 & 1.94206484779975 & 0.0790137122975668 \tabularnewline
0.58 & 1.96001671442956 & 0.0808891492161495 \tabularnewline
0.59 & 1.97861481126881 & 0.083731052036573 \tabularnewline
0.6 & 1.99809444029415 & 0.0877563865191273 \tabularnewline
0.61 & 2.01870236126614 & 0.0929672495820504 \tabularnewline
0.62 & 2.04064818388503 & 0.0990795867806641 \tabularnewline
0.63 & 2.06404772924333 & 0.105502308779238 \tabularnewline
0.64 & 2.0888733966135 & 0.111427994457002 \tabularnewline
0.65 & 2.11492822584521 & 0.116003132902187 \tabularnewline
0.66 & 2.14185694963581 & 0.118519534577245 \tabularnewline
0.67 & 2.16919874910495 & 0.118592688421016 \tabularnewline
0.68 & 2.19647442967931 & 0.116318525038364 \tabularnewline
0.69 & 2.22328877993799 & 0.112266827802279 \tabularnewline
0.7 & 2.24942114613319 & 0.107426561627114 \tabularnewline
0.71 & 2.27487716972967 & 0.102971164901584 \tabularnewline
0.72 & 2.29988335753029 & 0.0999582777282926 \tabularnewline
0.73 & 2.32482176686344 & 0.0990016489817572 \tabularnewline
0.74 & 2.35011998843548 & 0.100062799103796 \tabularnewline
0.75 & 2.37612613580284 & 0.102454560492943 \tabularnewline
0.76 & 2.40300513762144 & 0.105104263574882 \tabularnewline
0.77 & 2.43068931690546 & 0.106897168462501 \tabularnewline
0.78 & 2.45890369758233 & 0.107003335110792 \tabularnewline
0.79 & 2.48726682983612 & 0.105134897978167 \tabularnewline
0.8 & 2.51544391616128 & 0.101687907373788 \tabularnewline
0.81 & 2.54330500419436 & 0.0977105982513738 \tabularnewline
0.82 & 2.57102529374683 & 0.0946408936958758 \tabularnewline
0.83 & 2.59906962413767 & 0.0937463907897703 \tabularnewline
0.84 & 2.62803924842518 & 0.0953978603886317 \tabularnewline
0.85 & 2.65842177483405 & 0.0986471627679965 \tabularnewline
0.86 & 2.69034689988399 & 0.101579898130569 \tabularnewline
0.87 & 2.72346953209952 & 0.10223746057966 \tabularnewline
0.88 & 2.75705416458537 & 0.0995232239567493 \tabularnewline
0.89 & 2.79024418102718 & 0.0936137881201018 \tabularnewline
0.9 & 2.82242792691034 & 0.0858106098096964 \tabularnewline
0.91 & 2.8535945560003 & 0.0781160064666253 \tabularnewline
0.92 & 2.88456892558917 & 0.072868049412083 \tabularnewline
0.93 & 2.91697561663464 & 0.0720381722742806 \tabularnewline
0.94 & 2.95278180921945 & 0.0755263428637415 \tabularnewline
0.95 & 2.99350851927539 & 0.0801536687166507 \tabularnewline
0.96 & 3.03962098736746 & 0.0817162574042518 \tabularnewline
0.97 & 3.09025441224855 & 0.0786583167727984 \tabularnewline
0.98 & 3.14146654954963 & 0.0693991197246777 \tabularnewline
0.99 & 3.18236621779094 & 0.0408253355852861 \tabularnewline
1 & 3.2 & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239462&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[/C][C]0.2[/C][C]NA[/C][/ROW]
[ROW][C]0.01[/C][C]0.274959864533742[/C][C]0.132433610609288[/C][/ROW]
[ROW][C]0.02[/C][C]0.405357297247947[/C][C]0.191731166535147[/C][/ROW]
[ROW][C]0.03[/C][C]0.546951549008696[/C][C]0.202724487905387[/C][/ROW]
[ROW][C]0.04[/C][C]0.669980800706717[/C][C]0.169045979933512[/C][/ROW]
[ROW][C]0.05[/C][C]0.763667872247911[/C][C]0.131342867803924[/C][/ROW]
[ROW][C]0.06[/C][C]0.83251953919757[/C][C]0.110027344410245[/C][/ROW]
[ROW][C]0.07[/C][C]0.885457939245188[/C][C]0.0992620562687629[/C][/ROW]
[ROW][C]0.08[/C][C]0.928617993040154[/C][C]0.0895668948782615[/C][/ROW]
[ROW][C]0.09[/C][C]0.964771676384528[/C][C]0.0791043108540225[/C][/ROW]
[ROW][C]0.1[/C][C]0.995333023046258[/C][C]0.0703584328665507[/C][/ROW]
[ROW][C]0.11[/C][C]1.02168469007787[/C][C]0.0653316126276616[/C][/ROW]
[ROW][C]0.12[/C][C]1.04534454070347[/C][C]0.0640121278171384[/C][/ROW]
[ROW][C]0.13[/C][C]1.06769971789235[/C][C]0.0655481276356173[/C][/ROW]
[ROW][C]0.14[/C][C]1.08984476751641[/C][C]0.0694312574355729[/C][/ROW]
[ROW][C]0.15[/C][C]1.11258287293243[/C][C]0.0753563305192259[/C][/ROW]
[ROW][C]0.16[/C][C]1.13645476114229[/C][C]0.0826351322219733[/C][/ROW]
[ROW][C]0.17[/C][C]1.16172412874616[/C][C]0.09009961859223[/C][/ROW]
[ROW][C]0.18[/C][C]1.18835693136715[/C][C]0.0965214274786647[/C][/ROW]
[ROW][C]0.19[/C][C]1.21605771111759[/C][C]0.101089830137226[/C][/ROW]
[ROW][C]0.2[/C][C]1.24437694949455[/C][C]0.103642990712516[/C][/ROW]
[ROW][C]0.21[/C][C]1.27284605054793[/C][C]0.104553458098055[/C][/ROW]
[ROW][C]0.22[/C][C]1.30107946957498[/C][C]0.104403059799776[/C][/ROW]
[ROW][C]0.23[/C][C]1.3288094146112[/C][C]0.103630039298952[/C][/ROW]
[ROW][C]0.24[/C][C]1.3558598698947[/C][C]0.102367186260461[/C][/ROW]
[ROW][C]0.25[/C][C]1.38209429139982[/C][C]0.100482333641218[/C][/ROW]
[ROW][C]0.26[/C][C]1.40737317587842[/C][C]0.0977738390232745[/C][/ROW]
[ROW][C]0.27[/C][C]1.4315404016378[/C][C]0.094132394137679[/C][/ROW]
[ROW][C]0.28[/C][C]1.45443612376281[/C][C]0.0896223417065552[/C][/ROW]
[ROW][C]0.29[/C][C]1.47592168581928[/C][C]0.0844477187741947[/C][/ROW]
[ROW][C]0.3[/C][C]1.49590220152988[/C][C]0.0788756342142466[/C][/ROW]
[ROW][C]0.31[/C][C]1.51434070033763[/C][C]0.0731717990602439[/C][/ROW]
[ROW][C]0.32[/C][C]1.53126631887795[/C][C]0.0675948860375668[/C][/ROW]
[ROW][C]0.33[/C][C]1.54678224217341[/C][C]0.0624363916804295[/C][/ROW]
[ROW][C]0.34[/C][C]1.56107591647059[/C][C]0.0580865356721618[/C][/ROW]
[ROW][C]0.35[/C][C]1.57442759994337[/C][C]0.0550437212948325[/C][/ROW]
[ROW][C]0.36[/C][C]1.58720830732003[/C][C]0.0538473617073099[/C][/ROW]
[ROW][C]0.37[/C][C]1.59985812348364[/C][C]0.0549016340100628[/C][/ROW]
[ROW][C]0.38[/C][C]1.61284131647114[/C][C]0.0582554676557476[/C][/ROW]
[ROW][C]0.39[/C][C]1.6265834323888[/C][C]0.0635038614062346[/C][/ROW]
[ROW][C]0.4[/C][C]1.64140382199683[/C][C]0.0698686162956373[/C][/ROW]
[ROW][C]0.41[/C][C]1.65746126312953[/C][C]0.076384682479783[/C][/ROW]
[ROW][C]0.42[/C][C]1.67472858171633[/C][C]0.0821079815422391[/C][/ROW]
[ROW][C]0.43[/C][C]1.69300481166606[/C][C]0.0862900543270578[/C][/ROW]
[ROW][C]0.44[/C][C]1.71196291561165[/C][C]0.088515448303706[/C][/ROW]
[ROW][C]0.45[/C][C]1.73122099062511[/C][C]0.0887595782397137[/C][/ROW]
[ROW][C]0.46[/C][C]1.75041860558136[/C][C]0.0873583343530189[/C][/ROW]
[ROW][C]0.47[/C][C]1.76927945935651[/C][C]0.0849094545878058[/C][/ROW]
[ROW][C]0.48[/C][C]1.7876468130039[/C][C]0.0820935011681108[/C][/ROW]
[ROW][C]0.49[/C][C]1.80548704744603[/C][C]0.0795187026552639[/C][/ROW]
[ROW][C]0.5[/C][C]1.82286603692187[/C][C]0.0775821745448059[/C][/ROW]
[ROW][C]0.51[/C][C]1.83990978220272[/C][C]0.0764230046770314[/C][/ROW]
[ROW][C]0.52[/C][C]1.85676316507938[/C][C]0.075967077810639[/C][/ROW]
[ROW][C]0.53[/C][C]1.87355874833145[/C][C]0.0760223143755525[/C][/ROW]
[ROW][C]0.54[/C][C]1.8904026448893[/C][C]0.0763984123225031[/C][/ROW]
[ROW][C]0.55[/C][C]1.90737857936358[/C][C]0.0769842820285853[/C][/ROW]
[ROW][C]0.56[/C][C]1.92456604302458[/C][C]0.0778008445205919[/C][/ROW]
[ROW][C]0.57[/C][C]1.94206484779975[/C][C]0.0790137122975668[/C][/ROW]
[ROW][C]0.58[/C][C]1.96001671442956[/C][C]0.0808891492161495[/C][/ROW]
[ROW][C]0.59[/C][C]1.97861481126881[/C][C]0.083731052036573[/C][/ROW]
[ROW][C]0.6[/C][C]1.99809444029415[/C][C]0.0877563865191273[/C][/ROW]
[ROW][C]0.61[/C][C]2.01870236126614[/C][C]0.0929672495820504[/C][/ROW]
[ROW][C]0.62[/C][C]2.04064818388503[/C][C]0.0990795867806641[/C][/ROW]
[ROW][C]0.63[/C][C]2.06404772924333[/C][C]0.105502308779238[/C][/ROW]
[ROW][C]0.64[/C][C]2.0888733966135[/C][C]0.111427994457002[/C][/ROW]
[ROW][C]0.65[/C][C]2.11492822584521[/C][C]0.116003132902187[/C][/ROW]
[ROW][C]0.66[/C][C]2.14185694963581[/C][C]0.118519534577245[/C][/ROW]
[ROW][C]0.67[/C][C]2.16919874910495[/C][C]0.118592688421016[/C][/ROW]
[ROW][C]0.68[/C][C]2.19647442967931[/C][C]0.116318525038364[/C][/ROW]
[ROW][C]0.69[/C][C]2.22328877993799[/C][C]0.112266827802279[/C][/ROW]
[ROW][C]0.7[/C][C]2.24942114613319[/C][C]0.107426561627114[/C][/ROW]
[ROW][C]0.71[/C][C]2.27487716972967[/C][C]0.102971164901584[/C][/ROW]
[ROW][C]0.72[/C][C]2.29988335753029[/C][C]0.0999582777282926[/C][/ROW]
[ROW][C]0.73[/C][C]2.32482176686344[/C][C]0.0990016489817572[/C][/ROW]
[ROW][C]0.74[/C][C]2.35011998843548[/C][C]0.100062799103796[/C][/ROW]
[ROW][C]0.75[/C][C]2.37612613580284[/C][C]0.102454560492943[/C][/ROW]
[ROW][C]0.76[/C][C]2.40300513762144[/C][C]0.105104263574882[/C][/ROW]
[ROW][C]0.77[/C][C]2.43068931690546[/C][C]0.106897168462501[/C][/ROW]
[ROW][C]0.78[/C][C]2.45890369758233[/C][C]0.107003335110792[/C][/ROW]
[ROW][C]0.79[/C][C]2.48726682983612[/C][C]0.105134897978167[/C][/ROW]
[ROW][C]0.8[/C][C]2.51544391616128[/C][C]0.101687907373788[/C][/ROW]
[ROW][C]0.81[/C][C]2.54330500419436[/C][C]0.0977105982513738[/C][/ROW]
[ROW][C]0.82[/C][C]2.57102529374683[/C][C]0.0946408936958758[/C][/ROW]
[ROW][C]0.83[/C][C]2.59906962413767[/C][C]0.0937463907897703[/C][/ROW]
[ROW][C]0.84[/C][C]2.62803924842518[/C][C]0.0953978603886317[/C][/ROW]
[ROW][C]0.85[/C][C]2.65842177483405[/C][C]0.0986471627679965[/C][/ROW]
[ROW][C]0.86[/C][C]2.69034689988399[/C][C]0.101579898130569[/C][/ROW]
[ROW][C]0.87[/C][C]2.72346953209952[/C][C]0.10223746057966[/C][/ROW]
[ROW][C]0.88[/C][C]2.75705416458537[/C][C]0.0995232239567493[/C][/ROW]
[ROW][C]0.89[/C][C]2.79024418102718[/C][C]0.0936137881201018[/C][/ROW]
[ROW][C]0.9[/C][C]2.82242792691034[/C][C]0.0858106098096964[/C][/ROW]
[ROW][C]0.91[/C][C]2.8535945560003[/C][C]0.0781160064666253[/C][/ROW]
[ROW][C]0.92[/C][C]2.88456892558917[/C][C]0.072868049412083[/C][/ROW]
[ROW][C]0.93[/C][C]2.91697561663464[/C][C]0.0720381722742806[/C][/ROW]
[ROW][C]0.94[/C][C]2.95278180921945[/C][C]0.0755263428637415[/C][/ROW]
[ROW][C]0.95[/C][C]2.99350851927539[/C][C]0.0801536687166507[/C][/ROW]
[ROW][C]0.96[/C][C]3.03962098736746[/C][C]0.0817162574042518[/C][/ROW]
[ROW][C]0.97[/C][C]3.09025441224855[/C][C]0.0786583167727984[/C][/ROW]
[ROW][C]0.98[/C][C]3.14146654954963[/C][C]0.0693991197246777[/C][/ROW]
[ROW][C]0.99[/C][C]3.18236621779094[/C][C]0.0408253355852861[/C][/ROW]
[ROW][C]1[/C][C]3.2[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239462&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239462&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
00.2NA
0.010.2749598645337420.132433610609288
0.020.4053572972479470.191731166535147
0.030.5469515490086960.202724487905387
0.040.6699808007067170.169045979933512
0.050.7636678722479110.131342867803924
0.060.832519539197570.110027344410245
0.070.8854579392451880.0992620562687629
0.080.9286179930401540.0895668948782615
0.090.9647716763845280.0791043108540225
0.10.9953330230462580.0703584328665507
0.111.021684690077870.0653316126276616
0.121.045344540703470.0640121278171384
0.131.067699717892350.0655481276356173
0.141.089844767516410.0694312574355729
0.151.112582872932430.0753563305192259
0.161.136454761142290.0826351322219733
0.171.161724128746160.09009961859223
0.181.188356931367150.0965214274786647
0.191.216057711117590.101089830137226
0.21.244376949494550.103642990712516
0.211.272846050547930.104553458098055
0.221.301079469574980.104403059799776
0.231.32880941461120.103630039298952
0.241.35585986989470.102367186260461
0.251.382094291399820.100482333641218
0.261.407373175878420.0977738390232745
0.271.43154040163780.094132394137679
0.281.454436123762810.0896223417065552
0.291.475921685819280.0844477187741947
0.31.495902201529880.0788756342142466
0.311.514340700337630.0731717990602439
0.321.531266318877950.0675948860375668
0.331.546782242173410.0624363916804295
0.341.561075916470590.0580865356721618
0.351.574427599943370.0550437212948325
0.361.587208307320030.0538473617073099
0.371.599858123483640.0549016340100628
0.381.612841316471140.0582554676557476
0.391.62658343238880.0635038614062346
0.41.641403821996830.0698686162956373
0.411.657461263129530.076384682479783
0.421.674728581716330.0821079815422391
0.431.693004811666060.0862900543270578
0.441.711962915611650.088515448303706
0.451.731220990625110.0887595782397137
0.461.750418605581360.0873583343530189
0.471.769279459356510.0849094545878058
0.481.78764681300390.0820935011681108
0.491.805487047446030.0795187026552639
0.51.822866036921870.0775821745448059
0.511.839909782202720.0764230046770314
0.521.856763165079380.075967077810639
0.531.873558748331450.0760223143755525
0.541.89040264488930.0763984123225031
0.551.907378579363580.0769842820285853
0.561.924566043024580.0778008445205919
0.571.942064847799750.0790137122975668
0.581.960016714429560.0808891492161495
0.591.978614811268810.083731052036573
0.61.998094440294150.0877563865191273
0.612.018702361266140.0929672495820504
0.622.040648183885030.0990795867806641
0.632.064047729243330.105502308779238
0.642.08887339661350.111427994457002
0.652.114928225845210.116003132902187
0.662.141856949635810.118519534577245
0.672.169198749104950.118592688421016
0.682.196474429679310.116318525038364
0.692.223288779937990.112266827802279
0.72.249421146133190.107426561627114
0.712.274877169729670.102971164901584
0.722.299883357530290.0999582777282926
0.732.324821766863440.0990016489817572
0.742.350119988435480.100062799103796
0.752.376126135802840.102454560492943
0.762.403005137621440.105104263574882
0.772.430689316905460.106897168462501
0.782.458903697582330.107003335110792
0.792.487266829836120.105134897978167
0.82.515443916161280.101687907373788
0.812.543305004194360.0977105982513738
0.822.571025293746830.0946408936958758
0.832.599069624137670.0937463907897703
0.842.628039248425180.0953978603886317
0.852.658421774834050.0986471627679965
0.862.690346899883990.101579898130569
0.872.723469532099520.10223746057966
0.882.757054164585370.0995232239567493
0.892.790244181027180.0936137881201018
0.92.822427926910340.0858106098096964
0.912.85359455600030.0781160064666253
0.922.884568925589170.072868049412083
0.932.916975616634640.0720381722742806
0.942.952781809219450.0755263428637415
0.952.993508519275390.0801536687166507
0.963.039620987367460.0817162574042518
0.973.090254412248550.0786583167727984
0.983.141466549549630.0693991197246777
0.993.182366217790940.0408253355852861
13.2NA



Parameters (Session):
par1 = 0 ; par2 = 1 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0 ; par2 = 1 ; 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')