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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 26 Feb 2013 17:59:28 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/26/t1361919589t7o8ocwd50kf5rv.htm/, Retrieved Mon, 06 May 2024 16:51:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207153, Retrieved Mon, 06 May 2024 16:51:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-02-26 22:59:28] [bc4d9ad98829fcb778aa9177827398a7] [Current]
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Dataseries X:
4,00
4,00
4,00
4,00
4,00
4,00
4,00
4,00
4,06
4,07
4,07
4,07
4,07
4,07
4,30
4,44
4,52
4,52
4,52
4,53
4,53
4,53
4,53
4,53
4,53
4,53
4,53
4,61
4,63
4,63
4,63
4,63
4,63
4,63
4,63
4,63
4,63
4,63
4,66
4,70
4,72
4,73
4,73
4,74
4,74
4,74
4,76
4,88
4,88
4,88
4,88
4,89
4,97
4,97
4,97
4,97
4,97
4,97
4,97
4,97
4,97
4,97
4,97
4,98
5,00
5,03
5,04
5,04
5,05
5,05
5,05
5,06
5,06
5,06
5,07
5,09
5,18
5,23
5,25
5,26
5,28
5,29




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207153&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207153&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207153&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 time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.000008390522124.19978294070308e-05
0.024.000070989320780.000307896849145088
0.034.000327330286280.00120801754304963
0.044.001068868558570.00334088188305984
0.054.002749727616090.00722447596726248
0.064.005916630953790.012994226691894
0.074.011083749333970.0203172782562566
0.084.018632710288440.0286891763481089
0.094.028814135150590.0379841649648435
0.14.041858327324940.0488699909903866
0.114.058118708105520.0625927035359145
0.124.078135350311720.0801380552188831
0.134.102543885381940.101324857562411
0.144.131841401081790.124475380262803
0.154.166101842597380.146773859057862
0.164.204764588265760.164961356647906
0.174.246590159679350.176205635330894
0.184.289807815177530.178790779340796
0.194.33240735908180.172517884352187
0.24.372482610844160.158633593113429
0.214.408529257806080.139407091406743
0.224.439628764836370.117585193467623
0.234.465494610734030.0958030851689086
0.244.486398214321550.0761825497067522
0.254.503017066097690.060151057104292
0.264.516253770874880.0484384552521367
0.274.527066369034430.0411497061678371
0.284.536335096659860.0377535274819632
0.294.544775580637490.0372101957904162
0.34.552897342709060.0382803239996034
0.314.561000312772490.039877422722779
0.324.56919972974690.0412022795048193
0.334.57746962969570.0417610719896403
0.344.585695761173920.0413328253657462
0.354.593729643306260.039946447195865
0.364.601436595842560.0378364780828982
0.374.608732137871390.0353886388677651
0.384.615603273352810.0330580761342962
0.394.622113699038780.0313251047972376
0.44.628394509837040.0305828439581864
0.414.634624094804980.0310475690326717
0.424.641002251857720.0327279637449071
0.434.647723912874630.0354407248316811
0.444.654957268845780.0388982521161254
0.454.662829687083950.0427906850894256
0.464.67142290732040.0468381588949082
0.474.680776951495450.0508614588237023
0.484.690900371861610.0547462119105899
0.494.701783253850550.0584778441046009
0.54.713409043486140.062109324501929
0.514.725761867244270.0657071178574382
0.524.738827413301050.0693002087929638
0.534.752587289451380.0728553887506155
0.544.767008573957270.0762521534912447
0.554.782031547918220.0792806643601997
0.564.797559018143050.0816837565159865
0.574.813450150594530.083201533947444
0.584.82952055820830.0836015580792792
0.594.845548935154070.0827247254484221
0.64.861289246440860.0804992496341099
0.614.8764866824360.0769490685651146
0.624.890895362394890.0721830637824688
0.634.904295989698480.0663912407812664
0.644.916512071155370.0598223943443014
0.654.927423671927510.0527711880063621
0.664.936977861812040.0455851247366801
0.674.945195039881390.0386030000006934
0.684.952170323407970.0321865499108564
0.694.958069286070950.0266550245962387
0.74.963117604999340.0223138715642814
0.714.967584629561370.0194151246524904
0.724.971761483337090.0181217908881168
0.734.975935028022740.0183868326863941
0.744.980359840296620.0199119749711591
0.754.985231227077660.0222432896374962
0.764.990663063218390.0248728323173932
0.774.996674565905360.0273177102386715
0.785.003189647051130.0291562591975696
0.795.010050973371540.0300641645644916
0.85.01704845696630.0298876763637517
0.815.023959243078320.0286452515948123
0.825.030594359048170.0265510307039042
0.835.036846921547420.0239887467878144
0.845.042738234235470.0214898605320377
0.855.04845990292860.0197153382017791
0.865.054409509171660.0194911499415986
0.875.06121143772460.021694529250349
0.885.069702536191390.0269289279229132
0.895.080849593440640.0352327918666443
0.95.095565164554140.0458931046970335
0.915.114417297908610.0572619642386798
0.925.137295860595390.0667769188856932
0.935.163183403480020.0715157611350987
0.945.190220574873450.0693474004848764
0.955.216172900337170.0602089531686951
0.965.239165265704170.0466393492104105
0.975.258259266853620.0327091244140476
0.985.27335548195190.0214991466369872
0.995.284279426073910.0136208480645189

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.00000839052212 & 4.19978294070308e-05 \tabularnewline
0.02 & 4.00007098932078 & 0.000307896849145088 \tabularnewline
0.03 & 4.00032733028628 & 0.00120801754304963 \tabularnewline
0.04 & 4.00106886855857 & 0.00334088188305984 \tabularnewline
0.05 & 4.00274972761609 & 0.00722447596726248 \tabularnewline
0.06 & 4.00591663095379 & 0.012994226691894 \tabularnewline
0.07 & 4.01108374933397 & 0.0203172782562566 \tabularnewline
0.08 & 4.01863271028844 & 0.0286891763481089 \tabularnewline
0.09 & 4.02881413515059 & 0.0379841649648435 \tabularnewline
0.1 & 4.04185832732494 & 0.0488699909903866 \tabularnewline
0.11 & 4.05811870810552 & 0.0625927035359145 \tabularnewline
0.12 & 4.07813535031172 & 0.0801380552188831 \tabularnewline
0.13 & 4.10254388538194 & 0.101324857562411 \tabularnewline
0.14 & 4.13184140108179 & 0.124475380262803 \tabularnewline
0.15 & 4.16610184259738 & 0.146773859057862 \tabularnewline
0.16 & 4.20476458826576 & 0.164961356647906 \tabularnewline
0.17 & 4.24659015967935 & 0.176205635330894 \tabularnewline
0.18 & 4.28980781517753 & 0.178790779340796 \tabularnewline
0.19 & 4.3324073590818 & 0.172517884352187 \tabularnewline
0.2 & 4.37248261084416 & 0.158633593113429 \tabularnewline
0.21 & 4.40852925780608 & 0.139407091406743 \tabularnewline
0.22 & 4.43962876483637 & 0.117585193467623 \tabularnewline
0.23 & 4.46549461073403 & 0.0958030851689086 \tabularnewline
0.24 & 4.48639821432155 & 0.0761825497067522 \tabularnewline
0.25 & 4.50301706609769 & 0.060151057104292 \tabularnewline
0.26 & 4.51625377087488 & 0.0484384552521367 \tabularnewline
0.27 & 4.52706636903443 & 0.0411497061678371 \tabularnewline
0.28 & 4.53633509665986 & 0.0377535274819632 \tabularnewline
0.29 & 4.54477558063749 & 0.0372101957904162 \tabularnewline
0.3 & 4.55289734270906 & 0.0382803239996034 \tabularnewline
0.31 & 4.56100031277249 & 0.039877422722779 \tabularnewline
0.32 & 4.5691997297469 & 0.0412022795048193 \tabularnewline
0.33 & 4.5774696296957 & 0.0417610719896403 \tabularnewline
0.34 & 4.58569576117392 & 0.0413328253657462 \tabularnewline
0.35 & 4.59372964330626 & 0.039946447195865 \tabularnewline
0.36 & 4.60143659584256 & 0.0378364780828982 \tabularnewline
0.37 & 4.60873213787139 & 0.0353886388677651 \tabularnewline
0.38 & 4.61560327335281 & 0.0330580761342962 \tabularnewline
0.39 & 4.62211369903878 & 0.0313251047972376 \tabularnewline
0.4 & 4.62839450983704 & 0.0305828439581864 \tabularnewline
0.41 & 4.63462409480498 & 0.0310475690326717 \tabularnewline
0.42 & 4.64100225185772 & 0.0327279637449071 \tabularnewline
0.43 & 4.64772391287463 & 0.0354407248316811 \tabularnewline
0.44 & 4.65495726884578 & 0.0388982521161254 \tabularnewline
0.45 & 4.66282968708395 & 0.0427906850894256 \tabularnewline
0.46 & 4.6714229073204 & 0.0468381588949082 \tabularnewline
0.47 & 4.68077695149545 & 0.0508614588237023 \tabularnewline
0.48 & 4.69090037186161 & 0.0547462119105899 \tabularnewline
0.49 & 4.70178325385055 & 0.0584778441046009 \tabularnewline
0.5 & 4.71340904348614 & 0.062109324501929 \tabularnewline
0.51 & 4.72576186724427 & 0.0657071178574382 \tabularnewline
0.52 & 4.73882741330105 & 0.0693002087929638 \tabularnewline
0.53 & 4.75258728945138 & 0.0728553887506155 \tabularnewline
0.54 & 4.76700857395727 & 0.0762521534912447 \tabularnewline
0.55 & 4.78203154791822 & 0.0792806643601997 \tabularnewline
0.56 & 4.79755901814305 & 0.0816837565159865 \tabularnewline
0.57 & 4.81345015059453 & 0.083201533947444 \tabularnewline
0.58 & 4.8295205582083 & 0.0836015580792792 \tabularnewline
0.59 & 4.84554893515407 & 0.0827247254484221 \tabularnewline
0.6 & 4.86128924644086 & 0.0804992496341099 \tabularnewline
0.61 & 4.876486682436 & 0.0769490685651146 \tabularnewline
0.62 & 4.89089536239489 & 0.0721830637824688 \tabularnewline
0.63 & 4.90429598969848 & 0.0663912407812664 \tabularnewline
0.64 & 4.91651207115537 & 0.0598223943443014 \tabularnewline
0.65 & 4.92742367192751 & 0.0527711880063621 \tabularnewline
0.66 & 4.93697786181204 & 0.0455851247366801 \tabularnewline
0.67 & 4.94519503988139 & 0.0386030000006934 \tabularnewline
0.68 & 4.95217032340797 & 0.0321865499108564 \tabularnewline
0.69 & 4.95806928607095 & 0.0266550245962387 \tabularnewline
0.7 & 4.96311760499934 & 0.0223138715642814 \tabularnewline
0.71 & 4.96758462956137 & 0.0194151246524904 \tabularnewline
0.72 & 4.97176148333709 & 0.0181217908881168 \tabularnewline
0.73 & 4.97593502802274 & 0.0183868326863941 \tabularnewline
0.74 & 4.98035984029662 & 0.0199119749711591 \tabularnewline
0.75 & 4.98523122707766 & 0.0222432896374962 \tabularnewline
0.76 & 4.99066306321839 & 0.0248728323173932 \tabularnewline
0.77 & 4.99667456590536 & 0.0273177102386715 \tabularnewline
0.78 & 5.00318964705113 & 0.0291562591975696 \tabularnewline
0.79 & 5.01005097337154 & 0.0300641645644916 \tabularnewline
0.8 & 5.0170484569663 & 0.0298876763637517 \tabularnewline
0.81 & 5.02395924307832 & 0.0286452515948123 \tabularnewline
0.82 & 5.03059435904817 & 0.0265510307039042 \tabularnewline
0.83 & 5.03684692154742 & 0.0239887467878144 \tabularnewline
0.84 & 5.04273823423547 & 0.0214898605320377 \tabularnewline
0.85 & 5.0484599029286 & 0.0197153382017791 \tabularnewline
0.86 & 5.05440950917166 & 0.0194911499415986 \tabularnewline
0.87 & 5.0612114377246 & 0.021694529250349 \tabularnewline
0.88 & 5.06970253619139 & 0.0269289279229132 \tabularnewline
0.89 & 5.08084959344064 & 0.0352327918666443 \tabularnewline
0.9 & 5.09556516455414 & 0.0458931046970335 \tabularnewline
0.91 & 5.11441729790861 & 0.0572619642386798 \tabularnewline
0.92 & 5.13729586059539 & 0.0667769188856932 \tabularnewline
0.93 & 5.16318340348002 & 0.0715157611350987 \tabularnewline
0.94 & 5.19022057487345 & 0.0693474004848764 \tabularnewline
0.95 & 5.21617290033717 & 0.0602089531686951 \tabularnewline
0.96 & 5.23916526570417 & 0.0466393492104105 \tabularnewline
0.97 & 5.25825926685362 & 0.0327091244140476 \tabularnewline
0.98 & 5.2733554819519 & 0.0214991466369872 \tabularnewline
0.99 & 5.28427942607391 & 0.0136208480645189 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207153&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]4.00000839052212[/C][C]4.19978294070308e-05[/C][/ROW]
[ROW][C]0.02[/C][C]4.00007098932078[/C][C]0.000307896849145088[/C][/ROW]
[ROW][C]0.03[/C][C]4.00032733028628[/C][C]0.00120801754304963[/C][/ROW]
[ROW][C]0.04[/C][C]4.00106886855857[/C][C]0.00334088188305984[/C][/ROW]
[ROW][C]0.05[/C][C]4.00274972761609[/C][C]0.00722447596726248[/C][/ROW]
[ROW][C]0.06[/C][C]4.00591663095379[/C][C]0.012994226691894[/C][/ROW]
[ROW][C]0.07[/C][C]4.01108374933397[/C][C]0.0203172782562566[/C][/ROW]
[ROW][C]0.08[/C][C]4.01863271028844[/C][C]0.0286891763481089[/C][/ROW]
[ROW][C]0.09[/C][C]4.02881413515059[/C][C]0.0379841649648435[/C][/ROW]
[ROW][C]0.1[/C][C]4.04185832732494[/C][C]0.0488699909903866[/C][/ROW]
[ROW][C]0.11[/C][C]4.05811870810552[/C][C]0.0625927035359145[/C][/ROW]
[ROW][C]0.12[/C][C]4.07813535031172[/C][C]0.0801380552188831[/C][/ROW]
[ROW][C]0.13[/C][C]4.10254388538194[/C][C]0.101324857562411[/C][/ROW]
[ROW][C]0.14[/C][C]4.13184140108179[/C][C]0.124475380262803[/C][/ROW]
[ROW][C]0.15[/C][C]4.16610184259738[/C][C]0.146773859057862[/C][/ROW]
[ROW][C]0.16[/C][C]4.20476458826576[/C][C]0.164961356647906[/C][/ROW]
[ROW][C]0.17[/C][C]4.24659015967935[/C][C]0.176205635330894[/C][/ROW]
[ROW][C]0.18[/C][C]4.28980781517753[/C][C]0.178790779340796[/C][/ROW]
[ROW][C]0.19[/C][C]4.3324073590818[/C][C]0.172517884352187[/C][/ROW]
[ROW][C]0.2[/C][C]4.37248261084416[/C][C]0.158633593113429[/C][/ROW]
[ROW][C]0.21[/C][C]4.40852925780608[/C][C]0.139407091406743[/C][/ROW]
[ROW][C]0.22[/C][C]4.43962876483637[/C][C]0.117585193467623[/C][/ROW]
[ROW][C]0.23[/C][C]4.46549461073403[/C][C]0.0958030851689086[/C][/ROW]
[ROW][C]0.24[/C][C]4.48639821432155[/C][C]0.0761825497067522[/C][/ROW]
[ROW][C]0.25[/C][C]4.50301706609769[/C][C]0.060151057104292[/C][/ROW]
[ROW][C]0.26[/C][C]4.51625377087488[/C][C]0.0484384552521367[/C][/ROW]
[ROW][C]0.27[/C][C]4.52706636903443[/C][C]0.0411497061678371[/C][/ROW]
[ROW][C]0.28[/C][C]4.53633509665986[/C][C]0.0377535274819632[/C][/ROW]
[ROW][C]0.29[/C][C]4.54477558063749[/C][C]0.0372101957904162[/C][/ROW]
[ROW][C]0.3[/C][C]4.55289734270906[/C][C]0.0382803239996034[/C][/ROW]
[ROW][C]0.31[/C][C]4.56100031277249[/C][C]0.039877422722779[/C][/ROW]
[ROW][C]0.32[/C][C]4.5691997297469[/C][C]0.0412022795048193[/C][/ROW]
[ROW][C]0.33[/C][C]4.5774696296957[/C][C]0.0417610719896403[/C][/ROW]
[ROW][C]0.34[/C][C]4.58569576117392[/C][C]0.0413328253657462[/C][/ROW]
[ROW][C]0.35[/C][C]4.59372964330626[/C][C]0.039946447195865[/C][/ROW]
[ROW][C]0.36[/C][C]4.60143659584256[/C][C]0.0378364780828982[/C][/ROW]
[ROW][C]0.37[/C][C]4.60873213787139[/C][C]0.0353886388677651[/C][/ROW]
[ROW][C]0.38[/C][C]4.61560327335281[/C][C]0.0330580761342962[/C][/ROW]
[ROW][C]0.39[/C][C]4.62211369903878[/C][C]0.0313251047972376[/C][/ROW]
[ROW][C]0.4[/C][C]4.62839450983704[/C][C]0.0305828439581864[/C][/ROW]
[ROW][C]0.41[/C][C]4.63462409480498[/C][C]0.0310475690326717[/C][/ROW]
[ROW][C]0.42[/C][C]4.64100225185772[/C][C]0.0327279637449071[/C][/ROW]
[ROW][C]0.43[/C][C]4.64772391287463[/C][C]0.0354407248316811[/C][/ROW]
[ROW][C]0.44[/C][C]4.65495726884578[/C][C]0.0388982521161254[/C][/ROW]
[ROW][C]0.45[/C][C]4.66282968708395[/C][C]0.0427906850894256[/C][/ROW]
[ROW][C]0.46[/C][C]4.6714229073204[/C][C]0.0468381588949082[/C][/ROW]
[ROW][C]0.47[/C][C]4.68077695149545[/C][C]0.0508614588237023[/C][/ROW]
[ROW][C]0.48[/C][C]4.69090037186161[/C][C]0.0547462119105899[/C][/ROW]
[ROW][C]0.49[/C][C]4.70178325385055[/C][C]0.0584778441046009[/C][/ROW]
[ROW][C]0.5[/C][C]4.71340904348614[/C][C]0.062109324501929[/C][/ROW]
[ROW][C]0.51[/C][C]4.72576186724427[/C][C]0.0657071178574382[/C][/ROW]
[ROW][C]0.52[/C][C]4.73882741330105[/C][C]0.0693002087929638[/C][/ROW]
[ROW][C]0.53[/C][C]4.75258728945138[/C][C]0.0728553887506155[/C][/ROW]
[ROW][C]0.54[/C][C]4.76700857395727[/C][C]0.0762521534912447[/C][/ROW]
[ROW][C]0.55[/C][C]4.78203154791822[/C][C]0.0792806643601997[/C][/ROW]
[ROW][C]0.56[/C][C]4.79755901814305[/C][C]0.0816837565159865[/C][/ROW]
[ROW][C]0.57[/C][C]4.81345015059453[/C][C]0.083201533947444[/C][/ROW]
[ROW][C]0.58[/C][C]4.8295205582083[/C][C]0.0836015580792792[/C][/ROW]
[ROW][C]0.59[/C][C]4.84554893515407[/C][C]0.0827247254484221[/C][/ROW]
[ROW][C]0.6[/C][C]4.86128924644086[/C][C]0.0804992496341099[/C][/ROW]
[ROW][C]0.61[/C][C]4.876486682436[/C][C]0.0769490685651146[/C][/ROW]
[ROW][C]0.62[/C][C]4.89089536239489[/C][C]0.0721830637824688[/C][/ROW]
[ROW][C]0.63[/C][C]4.90429598969848[/C][C]0.0663912407812664[/C][/ROW]
[ROW][C]0.64[/C][C]4.91651207115537[/C][C]0.0598223943443014[/C][/ROW]
[ROW][C]0.65[/C][C]4.92742367192751[/C][C]0.0527711880063621[/C][/ROW]
[ROW][C]0.66[/C][C]4.93697786181204[/C][C]0.0455851247366801[/C][/ROW]
[ROW][C]0.67[/C][C]4.94519503988139[/C][C]0.0386030000006934[/C][/ROW]
[ROW][C]0.68[/C][C]4.95217032340797[/C][C]0.0321865499108564[/C][/ROW]
[ROW][C]0.69[/C][C]4.95806928607095[/C][C]0.0266550245962387[/C][/ROW]
[ROW][C]0.7[/C][C]4.96311760499934[/C][C]0.0223138715642814[/C][/ROW]
[ROW][C]0.71[/C][C]4.96758462956137[/C][C]0.0194151246524904[/C][/ROW]
[ROW][C]0.72[/C][C]4.97176148333709[/C][C]0.0181217908881168[/C][/ROW]
[ROW][C]0.73[/C][C]4.97593502802274[/C][C]0.0183868326863941[/C][/ROW]
[ROW][C]0.74[/C][C]4.98035984029662[/C][C]0.0199119749711591[/C][/ROW]
[ROW][C]0.75[/C][C]4.98523122707766[/C][C]0.0222432896374962[/C][/ROW]
[ROW][C]0.76[/C][C]4.99066306321839[/C][C]0.0248728323173932[/C][/ROW]
[ROW][C]0.77[/C][C]4.99667456590536[/C][C]0.0273177102386715[/C][/ROW]
[ROW][C]0.78[/C][C]5.00318964705113[/C][C]0.0291562591975696[/C][/ROW]
[ROW][C]0.79[/C][C]5.01005097337154[/C][C]0.0300641645644916[/C][/ROW]
[ROW][C]0.8[/C][C]5.0170484569663[/C][C]0.0298876763637517[/C][/ROW]
[ROW][C]0.81[/C][C]5.02395924307832[/C][C]0.0286452515948123[/C][/ROW]
[ROW][C]0.82[/C][C]5.03059435904817[/C][C]0.0265510307039042[/C][/ROW]
[ROW][C]0.83[/C][C]5.03684692154742[/C][C]0.0239887467878144[/C][/ROW]
[ROW][C]0.84[/C][C]5.04273823423547[/C][C]0.0214898605320377[/C][/ROW]
[ROW][C]0.85[/C][C]5.0484599029286[/C][C]0.0197153382017791[/C][/ROW]
[ROW][C]0.86[/C][C]5.05440950917166[/C][C]0.0194911499415986[/C][/ROW]
[ROW][C]0.87[/C][C]5.0612114377246[/C][C]0.021694529250349[/C][/ROW]
[ROW][C]0.88[/C][C]5.06970253619139[/C][C]0.0269289279229132[/C][/ROW]
[ROW][C]0.89[/C][C]5.08084959344064[/C][C]0.0352327918666443[/C][/ROW]
[ROW][C]0.9[/C][C]5.09556516455414[/C][C]0.0458931046970335[/C][/ROW]
[ROW][C]0.91[/C][C]5.11441729790861[/C][C]0.0572619642386798[/C][/ROW]
[ROW][C]0.92[/C][C]5.13729586059539[/C][C]0.0667769188856932[/C][/ROW]
[ROW][C]0.93[/C][C]5.16318340348002[/C][C]0.0715157611350987[/C][/ROW]
[ROW][C]0.94[/C][C]5.19022057487345[/C][C]0.0693474004848764[/C][/ROW]
[ROW][C]0.95[/C][C]5.21617290033717[/C][C]0.0602089531686951[/C][/ROW]
[ROW][C]0.96[/C][C]5.23916526570417[/C][C]0.0466393492104105[/C][/ROW]
[ROW][C]0.97[/C][C]5.25825926685362[/C][C]0.0327091244140476[/C][/ROW]
[ROW][C]0.98[/C][C]5.2733554819519[/C][C]0.0214991466369872[/C][/ROW]
[ROW][C]0.99[/C][C]5.28427942607391[/C][C]0.0136208480645189[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207153&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207153&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
0.014.000008390522124.19978294070308e-05
0.024.000070989320780.000307896849145088
0.034.000327330286280.00120801754304963
0.044.001068868558570.00334088188305984
0.054.002749727616090.00722447596726248
0.064.005916630953790.012994226691894
0.074.011083749333970.0203172782562566
0.084.018632710288440.0286891763481089
0.094.028814135150590.0379841649648435
0.14.041858327324940.0488699909903866
0.114.058118708105520.0625927035359145
0.124.078135350311720.0801380552188831
0.134.102543885381940.101324857562411
0.144.131841401081790.124475380262803
0.154.166101842597380.146773859057862
0.164.204764588265760.164961356647906
0.174.246590159679350.176205635330894
0.184.289807815177530.178790779340796
0.194.33240735908180.172517884352187
0.24.372482610844160.158633593113429
0.214.408529257806080.139407091406743
0.224.439628764836370.117585193467623
0.234.465494610734030.0958030851689086
0.244.486398214321550.0761825497067522
0.254.503017066097690.060151057104292
0.264.516253770874880.0484384552521367
0.274.527066369034430.0411497061678371
0.284.536335096659860.0377535274819632
0.294.544775580637490.0372101957904162
0.34.552897342709060.0382803239996034
0.314.561000312772490.039877422722779
0.324.56919972974690.0412022795048193
0.334.57746962969570.0417610719896403
0.344.585695761173920.0413328253657462
0.354.593729643306260.039946447195865
0.364.601436595842560.0378364780828982
0.374.608732137871390.0353886388677651
0.384.615603273352810.0330580761342962
0.394.622113699038780.0313251047972376
0.44.628394509837040.0305828439581864
0.414.634624094804980.0310475690326717
0.424.641002251857720.0327279637449071
0.434.647723912874630.0354407248316811
0.444.654957268845780.0388982521161254
0.454.662829687083950.0427906850894256
0.464.67142290732040.0468381588949082
0.474.680776951495450.0508614588237023
0.484.690900371861610.0547462119105899
0.494.701783253850550.0584778441046009
0.54.713409043486140.062109324501929
0.514.725761867244270.0657071178574382
0.524.738827413301050.0693002087929638
0.534.752587289451380.0728553887506155
0.544.767008573957270.0762521534912447
0.554.782031547918220.0792806643601997
0.564.797559018143050.0816837565159865
0.574.813450150594530.083201533947444
0.584.82952055820830.0836015580792792
0.594.845548935154070.0827247254484221
0.64.861289246440860.0804992496341099
0.614.8764866824360.0769490685651146
0.624.890895362394890.0721830637824688
0.634.904295989698480.0663912407812664
0.644.916512071155370.0598223943443014
0.654.927423671927510.0527711880063621
0.664.936977861812040.0455851247366801
0.674.945195039881390.0386030000006934
0.684.952170323407970.0321865499108564
0.694.958069286070950.0266550245962387
0.74.963117604999340.0223138715642814
0.714.967584629561370.0194151246524904
0.724.971761483337090.0181217908881168
0.734.975935028022740.0183868326863941
0.744.980359840296620.0199119749711591
0.754.985231227077660.0222432896374962
0.764.990663063218390.0248728323173932
0.774.996674565905360.0273177102386715
0.785.003189647051130.0291562591975696
0.795.010050973371540.0300641645644916
0.85.01704845696630.0298876763637517
0.815.023959243078320.0286452515948123
0.825.030594359048170.0265510307039042
0.835.036846921547420.0239887467878144
0.845.042738234235470.0214898605320377
0.855.04845990292860.0197153382017791
0.865.054409509171660.0194911499415986
0.875.06121143772460.021694529250349
0.885.069702536191390.0269289279229132
0.895.080849593440640.0352327918666443
0.95.095565164554140.0458931046970335
0.915.114417297908610.0572619642386798
0.925.137295860595390.0667769188856932
0.935.163183403480020.0715157611350987
0.945.190220574873450.0693474004848764
0.955.216172900337170.0602089531686951
0.965.239165265704170.0466393492104105
0.975.258259266853620.0327091244140476
0.985.27335548195190.0214991466369872
0.995.284279426073910.0136208480645189



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')