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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 computationMon, 03 Mar 2008 03:41:17 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/03/t1204540920flaiq1v2dhfdl4u.htm/, Retrieved Wed, 26 Aug 2026 04:34:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9828, Retrieved Wed, 26 Aug 2026 04:34:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsharrel-davis percentielen weekend aan zee
Estimated Impact526

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [harrel-davis perc...] [2008-03-03 10:41:17] [1e17f2ab0c3b2b3de21c4ac88dec2f8d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.7
104.7
104.7
104.7
106
107
107
107
107
107
107
107
107
107
107
107
107.6
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
109.9
110.6
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
114.3
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
119.01
121.27
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
123.54
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
125.24
128.35
128.35
128.35
128.35
128.35
128.35
128.35

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational 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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9828&T=0

[TABLE]
[ROW][C]Summary of compuational 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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9828&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9828&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01104.719115388660.0700095631368359
0.02104.7981573017590.266465034438757
0.03104.9774444077820.549786062499966
0.04105.2643989891160.800695189217254
0.05105.6235207849590.915170984876497
0.06105.9952884569910.86959121666791
0.07106.3253153531970.712673222589604
0.08106.5833109989040.518040771633472
0.09106.7654894139050.344636818592274
0.1106.8862626336750.224680992002820
0.11106.9678461368590.174278323096439
0.12107.0329015921720.199310890619530
0.13107.1010533309950.284195117137351
0.14107.1878549675590.411921921625342
0.15107.3045667173070.569499397442251
0.16107.4578647302420.740940530316156
0.17107.6494234576290.90620110190234
0.18107.8757638375451.04432672795436
0.19108.1287924462591.13766067606853
0.2108.3972053078161.17613939241241
0.21108.6685860125881.15979815099523
0.22108.9317588119301.098996182276
0.23109.1788604825301.0124197854227
0.24109.4066802913460.924200389948462
0.25109.6170259259680.860052166932097
0.26109.8161158118010.842721935253081
0.27110.0131983993560.885353302295823
0.28110.2187176022860.986222970157867
0.29110.4423793042071.13122337928806
0.3110.6914471848431.30014179277344
0.31110.9695302674571.47042521094478
0.32111.2760347989251.62051169503737
0.33111.6063469895031.73197501740112
0.34111.9526978185851.79276780865137
0.35112.3055493262471.79832570994976
0.36112.6552526075241.75287921266398
0.37112.9936809347631.6685276827566
0.38113.3155496914561.56362041434439
0.39113.6191978242731.46007436627392
0.4113.9067095560591.38017453045393
0.41114.1833774501761.34250780773989
0.42114.4566239210681.35733806745789
0.43114.7345875620631.42329463937742
0.44115.0246304415531.52839665541180
0.45115.3320279634671.65381330784453
0.46115.6590656865061.77859806985386
0.47116.0046943764821.88320477248987
0.48116.3647965294611.95210495820944
0.49116.7330095435791.97618178832510
0.5117.1019504021441.95369847354081
0.51117.4646123717241.89074009306350
0.52117.8156707813231.80025647947112
0.53118.1524503158391.70012154854123
0.54118.4753687482801.61037149333450
0.55118.7877703188331.54943731061174
0.56119.0951774356101.52991804130713
0.57119.4041001098181.5547947013548
0.58119.7206276697101.61620933073765
0.59120.04907069331.69800819182178
0.6120.3909140473201.77979505601345
0.61120.7442847323971.84112667934299
0.62121.1040407519281.8649443441978
0.63121.4624678544321.84003393215361
0.64121.8104538068361.76263013896766
0.65122.1389195755551.63687454117739
0.66122.4402426730941.47339934037039
0.67122.7094182763671.2882005882252
0.68122.9447633882361.09934511343567
0.69123.1480615421920.924972896682027
0.7123.3241478171990.78086492786408
0.71123.4800254004330.678820564220715
0.72123.6236722256940.62411762684236
0.73123.7627348807590.612793276140076
0.74123.9033184652300.631991519729882
0.75124.0490675752360.664442603056221
0.76124.2006946476610.693473107156236
0.77124.3560458404700.705561794146271
0.78124.5107045279450.692042225086683
0.79124.6590327555390.650015121788713
0.8124.7954686340720.582346736532907
0.81124.9158638112580.497224039770185
0.82125.0186775651440.406393297739027
0.83125.1059273438960.324032627283681
0.84125.1838718311580.267441376898826
0.85125.2633865843890.259612094779957
0.86125.3598214664760.321384099686647
0.87125.4918434582550.455582887216019
0.88125.6785804077160.650548322912672
0.89125.9346512518140.880666589650001
0.9126.2636912014861.10112496716680
0.91126.6525934018741.25249911895447
0.92127.0699593102181.27934305238831
0.93127.4717309252481.15676433162004
0.94127.8138186659770.90917796898239
0.95128.0668901284690.606060596012597
0.96128.2256598847120.330578506915962
0.97128.3072100565180.139393168653081
0.98128.3396383081380.040880466220198
0.99128.3486452478260.00641638896501228

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 104.71911538866 & 0.0700095631368359 \tabularnewline
0.02 & 104.798157301759 & 0.266465034438757 \tabularnewline
0.03 & 104.977444407782 & 0.549786062499966 \tabularnewline
0.04 & 105.264398989116 & 0.800695189217254 \tabularnewline
0.05 & 105.623520784959 & 0.915170984876497 \tabularnewline
0.06 & 105.995288456991 & 0.86959121666791 \tabularnewline
0.07 & 106.325315353197 & 0.712673222589604 \tabularnewline
0.08 & 106.583310998904 & 0.518040771633472 \tabularnewline
0.09 & 106.765489413905 & 0.344636818592274 \tabularnewline
0.1 & 106.886262633675 & 0.224680992002820 \tabularnewline
0.11 & 106.967846136859 & 0.174278323096439 \tabularnewline
0.12 & 107.032901592172 & 0.199310890619530 \tabularnewline
0.13 & 107.101053330995 & 0.284195117137351 \tabularnewline
0.14 & 107.187854967559 & 0.411921921625342 \tabularnewline
0.15 & 107.304566717307 & 0.569499397442251 \tabularnewline
0.16 & 107.457864730242 & 0.740940530316156 \tabularnewline
0.17 & 107.649423457629 & 0.90620110190234 \tabularnewline
0.18 & 107.875763837545 & 1.04432672795436 \tabularnewline
0.19 & 108.128792446259 & 1.13766067606853 \tabularnewline
0.2 & 108.397205307816 & 1.17613939241241 \tabularnewline
0.21 & 108.668586012588 & 1.15979815099523 \tabularnewline
0.22 & 108.931758811930 & 1.098996182276 \tabularnewline
0.23 & 109.178860482530 & 1.0124197854227 \tabularnewline
0.24 & 109.406680291346 & 0.924200389948462 \tabularnewline
0.25 & 109.617025925968 & 0.860052166932097 \tabularnewline
0.26 & 109.816115811801 & 0.842721935253081 \tabularnewline
0.27 & 110.013198399356 & 0.885353302295823 \tabularnewline
0.28 & 110.218717602286 & 0.986222970157867 \tabularnewline
0.29 & 110.442379304207 & 1.13122337928806 \tabularnewline
0.3 & 110.691447184843 & 1.30014179277344 \tabularnewline
0.31 & 110.969530267457 & 1.47042521094478 \tabularnewline
0.32 & 111.276034798925 & 1.62051169503737 \tabularnewline
0.33 & 111.606346989503 & 1.73197501740112 \tabularnewline
0.34 & 111.952697818585 & 1.79276780865137 \tabularnewline
0.35 & 112.305549326247 & 1.79832570994976 \tabularnewline
0.36 & 112.655252607524 & 1.75287921266398 \tabularnewline
0.37 & 112.993680934763 & 1.6685276827566 \tabularnewline
0.38 & 113.315549691456 & 1.56362041434439 \tabularnewline
0.39 & 113.619197824273 & 1.46007436627392 \tabularnewline
0.4 & 113.906709556059 & 1.38017453045393 \tabularnewline
0.41 & 114.183377450176 & 1.34250780773989 \tabularnewline
0.42 & 114.456623921068 & 1.35733806745789 \tabularnewline
0.43 & 114.734587562063 & 1.42329463937742 \tabularnewline
0.44 & 115.024630441553 & 1.52839665541180 \tabularnewline
0.45 & 115.332027963467 & 1.65381330784453 \tabularnewline
0.46 & 115.659065686506 & 1.77859806985386 \tabularnewline
0.47 & 116.004694376482 & 1.88320477248987 \tabularnewline
0.48 & 116.364796529461 & 1.95210495820944 \tabularnewline
0.49 & 116.733009543579 & 1.97618178832510 \tabularnewline
0.5 & 117.101950402144 & 1.95369847354081 \tabularnewline
0.51 & 117.464612371724 & 1.89074009306350 \tabularnewline
0.52 & 117.815670781323 & 1.80025647947112 \tabularnewline
0.53 & 118.152450315839 & 1.70012154854123 \tabularnewline
0.54 & 118.475368748280 & 1.61037149333450 \tabularnewline
0.55 & 118.787770318833 & 1.54943731061174 \tabularnewline
0.56 & 119.095177435610 & 1.52991804130713 \tabularnewline
0.57 & 119.404100109818 & 1.5547947013548 \tabularnewline
0.58 & 119.720627669710 & 1.61620933073765 \tabularnewline
0.59 & 120.0490706933 & 1.69800819182178 \tabularnewline
0.6 & 120.390914047320 & 1.77979505601345 \tabularnewline
0.61 & 120.744284732397 & 1.84112667934299 \tabularnewline
0.62 & 121.104040751928 & 1.8649443441978 \tabularnewline
0.63 & 121.462467854432 & 1.84003393215361 \tabularnewline
0.64 & 121.810453806836 & 1.76263013896766 \tabularnewline
0.65 & 122.138919575555 & 1.63687454117739 \tabularnewline
0.66 & 122.440242673094 & 1.47339934037039 \tabularnewline
0.67 & 122.709418276367 & 1.2882005882252 \tabularnewline
0.68 & 122.944763388236 & 1.09934511343567 \tabularnewline
0.69 & 123.148061542192 & 0.924972896682027 \tabularnewline
0.7 & 123.324147817199 & 0.78086492786408 \tabularnewline
0.71 & 123.480025400433 & 0.678820564220715 \tabularnewline
0.72 & 123.623672225694 & 0.62411762684236 \tabularnewline
0.73 & 123.762734880759 & 0.612793276140076 \tabularnewline
0.74 & 123.903318465230 & 0.631991519729882 \tabularnewline
0.75 & 124.049067575236 & 0.664442603056221 \tabularnewline
0.76 & 124.200694647661 & 0.693473107156236 \tabularnewline
0.77 & 124.356045840470 & 0.705561794146271 \tabularnewline
0.78 & 124.510704527945 & 0.692042225086683 \tabularnewline
0.79 & 124.659032755539 & 0.650015121788713 \tabularnewline
0.8 & 124.795468634072 & 0.582346736532907 \tabularnewline
0.81 & 124.915863811258 & 0.497224039770185 \tabularnewline
0.82 & 125.018677565144 & 0.406393297739027 \tabularnewline
0.83 & 125.105927343896 & 0.324032627283681 \tabularnewline
0.84 & 125.183871831158 & 0.267441376898826 \tabularnewline
0.85 & 125.263386584389 & 0.259612094779957 \tabularnewline
0.86 & 125.359821466476 & 0.321384099686647 \tabularnewline
0.87 & 125.491843458255 & 0.455582887216019 \tabularnewline
0.88 & 125.678580407716 & 0.650548322912672 \tabularnewline
0.89 & 125.934651251814 & 0.880666589650001 \tabularnewline
0.9 & 126.263691201486 & 1.10112496716680 \tabularnewline
0.91 & 126.652593401874 & 1.25249911895447 \tabularnewline
0.92 & 127.069959310218 & 1.27934305238831 \tabularnewline
0.93 & 127.471730925248 & 1.15676433162004 \tabularnewline
0.94 & 127.813818665977 & 0.90917796898239 \tabularnewline
0.95 & 128.066890128469 & 0.606060596012597 \tabularnewline
0.96 & 128.225659884712 & 0.330578506915962 \tabularnewline
0.97 & 128.307210056518 & 0.139393168653081 \tabularnewline
0.98 & 128.339638308138 & 0.040880466220198 \tabularnewline
0.99 & 128.348645247826 & 0.00641638896501228 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9828&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]104.71911538866[/C][C]0.0700095631368359[/C][/ROW]
[ROW][C]0.02[/C][C]104.798157301759[/C][C]0.266465034438757[/C][/ROW]
[ROW][C]0.03[/C][C]104.977444407782[/C][C]0.549786062499966[/C][/ROW]
[ROW][C]0.04[/C][C]105.264398989116[/C][C]0.800695189217254[/C][/ROW]
[ROW][C]0.05[/C][C]105.623520784959[/C][C]0.915170984876497[/C][/ROW]
[ROW][C]0.06[/C][C]105.995288456991[/C][C]0.86959121666791[/C][/ROW]
[ROW][C]0.07[/C][C]106.325315353197[/C][C]0.712673222589604[/C][/ROW]
[ROW][C]0.08[/C][C]106.583310998904[/C][C]0.518040771633472[/C][/ROW]
[ROW][C]0.09[/C][C]106.765489413905[/C][C]0.344636818592274[/C][/ROW]
[ROW][C]0.1[/C][C]106.886262633675[/C][C]0.224680992002820[/C][/ROW]
[ROW][C]0.11[/C][C]106.967846136859[/C][C]0.174278323096439[/C][/ROW]
[ROW][C]0.12[/C][C]107.032901592172[/C][C]0.199310890619530[/C][/ROW]
[ROW][C]0.13[/C][C]107.101053330995[/C][C]0.284195117137351[/C][/ROW]
[ROW][C]0.14[/C][C]107.187854967559[/C][C]0.411921921625342[/C][/ROW]
[ROW][C]0.15[/C][C]107.304566717307[/C][C]0.569499397442251[/C][/ROW]
[ROW][C]0.16[/C][C]107.457864730242[/C][C]0.740940530316156[/C][/ROW]
[ROW][C]0.17[/C][C]107.649423457629[/C][C]0.90620110190234[/C][/ROW]
[ROW][C]0.18[/C][C]107.875763837545[/C][C]1.04432672795436[/C][/ROW]
[ROW][C]0.19[/C][C]108.128792446259[/C][C]1.13766067606853[/C][/ROW]
[ROW][C]0.2[/C][C]108.397205307816[/C][C]1.17613939241241[/C][/ROW]
[ROW][C]0.21[/C][C]108.668586012588[/C][C]1.15979815099523[/C][/ROW]
[ROW][C]0.22[/C][C]108.931758811930[/C][C]1.098996182276[/C][/ROW]
[ROW][C]0.23[/C][C]109.178860482530[/C][C]1.0124197854227[/C][/ROW]
[ROW][C]0.24[/C][C]109.406680291346[/C][C]0.924200389948462[/C][/ROW]
[ROW][C]0.25[/C][C]109.617025925968[/C][C]0.860052166932097[/C][/ROW]
[ROW][C]0.26[/C][C]109.816115811801[/C][C]0.842721935253081[/C][/ROW]
[ROW][C]0.27[/C][C]110.013198399356[/C][C]0.885353302295823[/C][/ROW]
[ROW][C]0.28[/C][C]110.218717602286[/C][C]0.986222970157867[/C][/ROW]
[ROW][C]0.29[/C][C]110.442379304207[/C][C]1.13122337928806[/C][/ROW]
[ROW][C]0.3[/C][C]110.691447184843[/C][C]1.30014179277344[/C][/ROW]
[ROW][C]0.31[/C][C]110.969530267457[/C][C]1.47042521094478[/C][/ROW]
[ROW][C]0.32[/C][C]111.276034798925[/C][C]1.62051169503737[/C][/ROW]
[ROW][C]0.33[/C][C]111.606346989503[/C][C]1.73197501740112[/C][/ROW]
[ROW][C]0.34[/C][C]111.952697818585[/C][C]1.79276780865137[/C][/ROW]
[ROW][C]0.35[/C][C]112.305549326247[/C][C]1.79832570994976[/C][/ROW]
[ROW][C]0.36[/C][C]112.655252607524[/C][C]1.75287921266398[/C][/ROW]
[ROW][C]0.37[/C][C]112.993680934763[/C][C]1.6685276827566[/C][/ROW]
[ROW][C]0.38[/C][C]113.315549691456[/C][C]1.56362041434439[/C][/ROW]
[ROW][C]0.39[/C][C]113.619197824273[/C][C]1.46007436627392[/C][/ROW]
[ROW][C]0.4[/C][C]113.906709556059[/C][C]1.38017453045393[/C][/ROW]
[ROW][C]0.41[/C][C]114.183377450176[/C][C]1.34250780773989[/C][/ROW]
[ROW][C]0.42[/C][C]114.456623921068[/C][C]1.35733806745789[/C][/ROW]
[ROW][C]0.43[/C][C]114.734587562063[/C][C]1.42329463937742[/C][/ROW]
[ROW][C]0.44[/C][C]115.024630441553[/C][C]1.52839665541180[/C][/ROW]
[ROW][C]0.45[/C][C]115.332027963467[/C][C]1.65381330784453[/C][/ROW]
[ROW][C]0.46[/C][C]115.659065686506[/C][C]1.77859806985386[/C][/ROW]
[ROW][C]0.47[/C][C]116.004694376482[/C][C]1.88320477248987[/C][/ROW]
[ROW][C]0.48[/C][C]116.364796529461[/C][C]1.95210495820944[/C][/ROW]
[ROW][C]0.49[/C][C]116.733009543579[/C][C]1.97618178832510[/C][/ROW]
[ROW][C]0.5[/C][C]117.101950402144[/C][C]1.95369847354081[/C][/ROW]
[ROW][C]0.51[/C][C]117.464612371724[/C][C]1.89074009306350[/C][/ROW]
[ROW][C]0.52[/C][C]117.815670781323[/C][C]1.80025647947112[/C][/ROW]
[ROW][C]0.53[/C][C]118.152450315839[/C][C]1.70012154854123[/C][/ROW]
[ROW][C]0.54[/C][C]118.475368748280[/C][C]1.61037149333450[/C][/ROW]
[ROW][C]0.55[/C][C]118.787770318833[/C][C]1.54943731061174[/C][/ROW]
[ROW][C]0.56[/C][C]119.095177435610[/C][C]1.52991804130713[/C][/ROW]
[ROW][C]0.57[/C][C]119.404100109818[/C][C]1.5547947013548[/C][/ROW]
[ROW][C]0.58[/C][C]119.720627669710[/C][C]1.61620933073765[/C][/ROW]
[ROW][C]0.59[/C][C]120.0490706933[/C][C]1.69800819182178[/C][/ROW]
[ROW][C]0.6[/C][C]120.390914047320[/C][C]1.77979505601345[/C][/ROW]
[ROW][C]0.61[/C][C]120.744284732397[/C][C]1.84112667934299[/C][/ROW]
[ROW][C]0.62[/C][C]121.104040751928[/C][C]1.8649443441978[/C][/ROW]
[ROW][C]0.63[/C][C]121.462467854432[/C][C]1.84003393215361[/C][/ROW]
[ROW][C]0.64[/C][C]121.810453806836[/C][C]1.76263013896766[/C][/ROW]
[ROW][C]0.65[/C][C]122.138919575555[/C][C]1.63687454117739[/C][/ROW]
[ROW][C]0.66[/C][C]122.440242673094[/C][C]1.47339934037039[/C][/ROW]
[ROW][C]0.67[/C][C]122.709418276367[/C][C]1.2882005882252[/C][/ROW]
[ROW][C]0.68[/C][C]122.944763388236[/C][C]1.09934511343567[/C][/ROW]
[ROW][C]0.69[/C][C]123.148061542192[/C][C]0.924972896682027[/C][/ROW]
[ROW][C]0.7[/C][C]123.324147817199[/C][C]0.78086492786408[/C][/ROW]
[ROW][C]0.71[/C][C]123.480025400433[/C][C]0.678820564220715[/C][/ROW]
[ROW][C]0.72[/C][C]123.623672225694[/C][C]0.62411762684236[/C][/ROW]
[ROW][C]0.73[/C][C]123.762734880759[/C][C]0.612793276140076[/C][/ROW]
[ROW][C]0.74[/C][C]123.903318465230[/C][C]0.631991519729882[/C][/ROW]
[ROW][C]0.75[/C][C]124.049067575236[/C][C]0.664442603056221[/C][/ROW]
[ROW][C]0.76[/C][C]124.200694647661[/C][C]0.693473107156236[/C][/ROW]
[ROW][C]0.77[/C][C]124.356045840470[/C][C]0.705561794146271[/C][/ROW]
[ROW][C]0.78[/C][C]124.510704527945[/C][C]0.692042225086683[/C][/ROW]
[ROW][C]0.79[/C][C]124.659032755539[/C][C]0.650015121788713[/C][/ROW]
[ROW][C]0.8[/C][C]124.795468634072[/C][C]0.582346736532907[/C][/ROW]
[ROW][C]0.81[/C][C]124.915863811258[/C][C]0.497224039770185[/C][/ROW]
[ROW][C]0.82[/C][C]125.018677565144[/C][C]0.406393297739027[/C][/ROW]
[ROW][C]0.83[/C][C]125.105927343896[/C][C]0.324032627283681[/C][/ROW]
[ROW][C]0.84[/C][C]125.183871831158[/C][C]0.267441376898826[/C][/ROW]
[ROW][C]0.85[/C][C]125.263386584389[/C][C]0.259612094779957[/C][/ROW]
[ROW][C]0.86[/C][C]125.359821466476[/C][C]0.321384099686647[/C][/ROW]
[ROW][C]0.87[/C][C]125.491843458255[/C][C]0.455582887216019[/C][/ROW]
[ROW][C]0.88[/C][C]125.678580407716[/C][C]0.650548322912672[/C][/ROW]
[ROW][C]0.89[/C][C]125.934651251814[/C][C]0.880666589650001[/C][/ROW]
[ROW][C]0.9[/C][C]126.263691201486[/C][C]1.10112496716680[/C][/ROW]
[ROW][C]0.91[/C][C]126.652593401874[/C][C]1.25249911895447[/C][/ROW]
[ROW][C]0.92[/C][C]127.069959310218[/C][C]1.27934305238831[/C][/ROW]
[ROW][C]0.93[/C][C]127.471730925248[/C][C]1.15676433162004[/C][/ROW]
[ROW][C]0.94[/C][C]127.813818665977[/C][C]0.90917796898239[/C][/ROW]
[ROW][C]0.95[/C][C]128.066890128469[/C][C]0.606060596012597[/C][/ROW]
[ROW][C]0.96[/C][C]128.225659884712[/C][C]0.330578506915962[/C][/ROW]
[ROW][C]0.97[/C][C]128.307210056518[/C][C]0.139393168653081[/C][/ROW]
[ROW][C]0.98[/C][C]128.339638308138[/C][C]0.040880466220198[/C][/ROW]
[ROW][C]0.99[/C][C]128.348645247826[/C][C]0.00641638896501228[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9828&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9828&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
0.01104.719115388660.0700095631368359
0.02104.7981573017590.266465034438757
0.03104.9774444077820.549786062499966
0.04105.2643989891160.800695189217254
0.05105.6235207849590.915170984876497
0.06105.9952884569910.86959121666791
0.07106.3253153531970.712673222589604
0.08106.5833109989040.518040771633472
0.09106.7654894139050.344636818592274
0.1106.8862626336750.224680992002820
0.11106.9678461368590.174278323096439
0.12107.0329015921720.199310890619530
0.13107.1010533309950.284195117137351
0.14107.1878549675590.411921921625342
0.15107.3045667173070.569499397442251
0.16107.4578647302420.740940530316156
0.17107.6494234576290.90620110190234
0.18107.8757638375451.04432672795436
0.19108.1287924462591.13766067606853
0.2108.3972053078161.17613939241241
0.21108.6685860125881.15979815099523
0.22108.9317588119301.098996182276
0.23109.1788604825301.0124197854227
0.24109.4066802913460.924200389948462
0.25109.6170259259680.860052166932097
0.26109.8161158118010.842721935253081
0.27110.0131983993560.885353302295823
0.28110.2187176022860.986222970157867
0.29110.4423793042071.13122337928806
0.3110.6914471848431.30014179277344
0.31110.9695302674571.47042521094478
0.32111.2760347989251.62051169503737
0.33111.6063469895031.73197501740112
0.34111.9526978185851.79276780865137
0.35112.3055493262471.79832570994976
0.36112.6552526075241.75287921266398
0.37112.9936809347631.6685276827566
0.38113.3155496914561.56362041434439
0.39113.6191978242731.46007436627392
0.4113.9067095560591.38017453045393
0.41114.1833774501761.34250780773989
0.42114.4566239210681.35733806745789
0.43114.7345875620631.42329463937742
0.44115.0246304415531.52839665541180
0.45115.3320279634671.65381330784453
0.46115.6590656865061.77859806985386
0.47116.0046943764821.88320477248987
0.48116.3647965294611.95210495820944
0.49116.7330095435791.97618178832510
0.5117.1019504021441.95369847354081
0.51117.4646123717241.89074009306350
0.52117.8156707813231.80025647947112
0.53118.1524503158391.70012154854123
0.54118.4753687482801.61037149333450
0.55118.7877703188331.54943731061174
0.56119.0951774356101.52991804130713
0.57119.4041001098181.5547947013548
0.58119.7206276697101.61620933073765
0.59120.04907069331.69800819182178
0.6120.3909140473201.77979505601345
0.61120.7442847323971.84112667934299
0.62121.1040407519281.8649443441978
0.63121.4624678544321.84003393215361
0.64121.8104538068361.76263013896766
0.65122.1389195755551.63687454117739
0.66122.4402426730941.47339934037039
0.67122.7094182763671.2882005882252
0.68122.9447633882361.09934511343567
0.69123.1480615421920.924972896682027
0.7123.3241478171990.78086492786408
0.71123.4800254004330.678820564220715
0.72123.6236722256940.62411762684236
0.73123.7627348807590.612793276140076
0.74123.9033184652300.631991519729882
0.75124.0490675752360.664442603056221
0.76124.2006946476610.693473107156236
0.77124.3560458404700.705561794146271
0.78124.5107045279450.692042225086683
0.79124.6590327555390.650015121788713
0.8124.7954686340720.582346736532907
0.81124.9158638112580.497224039770185
0.82125.0186775651440.406393297739027
0.83125.1059273438960.324032627283681
0.84125.1838718311580.267441376898826
0.85125.2633865843890.259612094779957
0.86125.3598214664760.321384099686647
0.87125.4918434582550.455582887216019
0.88125.6785804077160.650548322912672
0.89125.9346512518140.880666589650001
0.9126.2636912014861.10112496716680
0.91126.6525934018741.25249911895447
0.92127.0699593102181.27934305238831
0.93127.4717309252481.15676433162004
0.94127.8138186659770.90917796898239
0.95128.0668901284690.606060596012597
0.96128.2256598847120.330578506915962
0.97128.3072100565180.139393168653081
0.98128.3396383081380.040880466220198
0.99128.3486452478260.00641638896501228


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')