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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 computationFri, 23 Oct 2009 08:05:11 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/23/t1256306779svdqy4k51lyubxi.htm/, Retrieved Thu, 02 May 2024 06:31:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49983, Retrieved Thu, 02 May 2024 06:31:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact137

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD      [Univariate Explorative Data Analysis] [Workshop 3: Part ...] [2009-10-20 18:04:46] [03d5b865e91ca35b5a5d21b8d6da5aba]
- RMPD          [Harrell-Davis Quantiles] [WS 3 review 2 har...] [2009-10-23 14:05:11] [51118f1042b56b16d340924f16263174] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.659038902
0.626033058
0.797546012
0.773345422
0.744947064
0.760826772
0.721987315
0.728884254
0.780324737
0.730544747
0.712538226
0.737489025
0.671199011
0.626959248
0.794169611
0.727101039
0.784007353
0.758553275
0.698989899
0.749751738
0.741991342
0.716981132
0.727024568
0.744328098
0.611241218
0.608955224
0.717770035
0.73304721
0.692648361
0.688235294
0.662264151
0.658119658
0.652356902
0.622997172
0.631290027
0.675767918
0.607567568
0.607485605
0.691555556
0.751633987
0.689320388
0.651
0.642276423
0.628546099
0.655737705
0.698209719
0.647112741
0.625539258
0.678125
0.5501002
0.684931507
0.668971478
0.599597586
0.608695652
0.558241758
0.61695279
0.646944714
0.643995749
0.650326797
0.679649464
0.56779661

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49983&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49983&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49983&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0050.551215802880450.00849174798520581
0.0150.5553141429767930.0110874307097745
0.0250.5614397159977680.0151381540026113
0.0350.5688187252903180.0185450930850830
0.0450.576651178716420.0199085685824479
0.0550.5842164116581610.0190390517478459
0.0650.5909696656039220.016586766454881
0.0750.5966161529195460.0134971462537298
0.0850.6011146681253370.0105945651111453
0.0950.6046130606709670.00839812923819191
0.1050.6073548720943050.00710578896099408
0.1150.6095961863895080.00662863000066348
0.1250.6115524842722120.00669513003851797
0.1350.6133768081617750.0070175125595214
0.1450.6151607352871910.0073960850368524
0.1550.6169476259285360.0077225997170385
0.1650.6187496731672230.00796013289202098
0.1750.6205634225203050.00811888895202201
0.1850.6223811639804530.00823664244396285
0.1950.6241975270013490.00835773523073256
0.2050.626011809294220.00851420727088029
0.2150.6278272161300410.00871899135448933
0.2250.629648414381890.00895907463038899
0.2350.6314787149705330.00920511612221817
0.2450.6333178843151970.00942040161201351
0.2550.6351611554529490.0095696512000349
0.2650.636999569996490.00963023712897148
0.2750.638821422956740.00959180540066359
0.2850.6406143594857180.00946437623610925
0.2950.642367600942250.00926705817937402
0.3050.6440738364535040.00903224289590517
0.3150.6457304610422590.00879416549202313
0.3250.6473400203132980.00858982105201902
0.3350.6489098885786580.00844991539654874
0.3450.6504513310777610.00839418031987323
0.3550.6519781685374030.00843244550184891
0.3650.6535052764648910.00856510291883854
0.3750.6550471254411650.00878045866934027
0.3850.6566165195218350.0090632258409592
0.3950.658223633624170.0093913574992991
0.4050.6598753988992950.00974184122091017
0.4150.6615752434942010.0100921272599804
0.4250.6633231660907260.0104214840288739
0.4350.6651160995971670.0107123858896252
0.4450.6669485097571510.0109532500065617
0.4550.6688131658769380.0111354717476306
0.4650.6707020167914250.0112575617701537
0.4750.6726071037370090.0113240380140698
0.4850.674521442485160.0113429938134372
0.4950.6764398095151080.0113290944548971
0.5050.6783593708700160.0112983702596733
0.5150.6802800977261970.011270301107321
0.5250.6822049203916240.0112653932567667
0.5350.6841395840218460.0113024727084407
0.5450.6860921868309080.0113967768162875
0.5550.6880724066303820.0115580381195207
0.5650.6900904543185540.0117878631435939
0.5750.6921558311849160.0120782319135639
0.5850.6942760054850960.0124116407051356
0.5950.6964551552629350.0127628023348566
0.6050.6986931405911340.0130991983101720
0.6150.7009848622743580.0133858103127265
0.6250.7033201320440480.0135884899568784
0.6350.7056841227806490.0136792971516775
0.6450.7080583930747420.0136383194005607
0.6550.7104223995559160.0134563953155418
0.6650.7127553361122350.0131376793416436
0.6750.7150380840997110.0126985680421870
0.6850.7172550316251880.0121656774887136
0.6950.7193955281442880.0115745230986888
0.7050.7214547831036410.0109629650802078
0.7150.7234340897732020.0103721937453056
0.7250.7253403496430460.00983602320543718
0.7350.7271849776620390.00938028084446124
0.7450.7289823704094550.00901908750230887
0.7550.7307482020939380.00875453247599075
0.7650.732497860319320.00857437137146008
0.7750.734245330155030.00845956535309282
0.7850.7360027729650260.0083887219548585
0.7950.7377809285156030.00834449571359072
0.8050.7395903114001020.00831883867980357
0.8150.7414430031518760.00831509257439
0.8250.7433546898399270.00834987511503456
0.8350.7453464834617870.00844830878889867
0.8450.7474460008776930.00864025280320588
0.8550.7496871549431760.00894901439981762
0.8650.752108155225750.0093858846413202
0.8750.7547473889391570.00994017088943353
0.8850.7576372850001330.0105705921774223
0.8950.7607970674595850.0112009827136675
0.9050.7642263759919690.0117241879175230
0.9150.7679024940831290.0120221434070073
0.9250.7717832671659980.0120018004396782
0.9350.7758146133270830.0116382027535895
0.9450.7799361082819190.0109905362888290
0.9550.7840735938847320.010144235861707
0.9650.7881098267500650.00907331762301287
0.9750.7918380710200740.00758642371437247
0.9850.7949308247049050.00562824988883700

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.005 & 0.55121580288045 & 0.00849174798520581 \tabularnewline
0.015 & 0.555314142976793 & 0.0110874307097745 \tabularnewline
0.025 & 0.561439715997768 & 0.0151381540026113 \tabularnewline
0.035 & 0.568818725290318 & 0.0185450930850830 \tabularnewline
0.045 & 0.57665117871642 & 0.0199085685824479 \tabularnewline
0.055 & 0.584216411658161 & 0.0190390517478459 \tabularnewline
0.065 & 0.590969665603922 & 0.016586766454881 \tabularnewline
0.075 & 0.596616152919546 & 0.0134971462537298 \tabularnewline
0.085 & 0.601114668125337 & 0.0105945651111453 \tabularnewline
0.095 & 0.604613060670967 & 0.00839812923819191 \tabularnewline
0.105 & 0.607354872094305 & 0.00710578896099408 \tabularnewline
0.115 & 0.609596186389508 & 0.00662863000066348 \tabularnewline
0.125 & 0.611552484272212 & 0.00669513003851797 \tabularnewline
0.135 & 0.613376808161775 & 0.0070175125595214 \tabularnewline
0.145 & 0.615160735287191 & 0.0073960850368524 \tabularnewline
0.155 & 0.616947625928536 & 0.0077225997170385 \tabularnewline
0.165 & 0.618749673167223 & 0.00796013289202098 \tabularnewline
0.175 & 0.620563422520305 & 0.00811888895202201 \tabularnewline
0.185 & 0.622381163980453 & 0.00823664244396285 \tabularnewline
0.195 & 0.624197527001349 & 0.00835773523073256 \tabularnewline
0.205 & 0.62601180929422 & 0.00851420727088029 \tabularnewline
0.215 & 0.627827216130041 & 0.00871899135448933 \tabularnewline
0.225 & 0.62964841438189 & 0.00895907463038899 \tabularnewline
0.235 & 0.631478714970533 & 0.00920511612221817 \tabularnewline
0.245 & 0.633317884315197 & 0.00942040161201351 \tabularnewline
0.255 & 0.635161155452949 & 0.0095696512000349 \tabularnewline
0.265 & 0.63699956999649 & 0.00963023712897148 \tabularnewline
0.275 & 0.63882142295674 & 0.00959180540066359 \tabularnewline
0.285 & 0.640614359485718 & 0.00946437623610925 \tabularnewline
0.295 & 0.64236760094225 & 0.00926705817937402 \tabularnewline
0.305 & 0.644073836453504 & 0.00903224289590517 \tabularnewline
0.315 & 0.645730461042259 & 0.00879416549202313 \tabularnewline
0.325 & 0.647340020313298 & 0.00858982105201902 \tabularnewline
0.335 & 0.648909888578658 & 0.00844991539654874 \tabularnewline
0.345 & 0.650451331077761 & 0.00839418031987323 \tabularnewline
0.355 & 0.651978168537403 & 0.00843244550184891 \tabularnewline
0.365 & 0.653505276464891 & 0.00856510291883854 \tabularnewline
0.375 & 0.655047125441165 & 0.00878045866934027 \tabularnewline
0.385 & 0.656616519521835 & 0.0090632258409592 \tabularnewline
0.395 & 0.65822363362417 & 0.0093913574992991 \tabularnewline
0.405 & 0.659875398899295 & 0.00974184122091017 \tabularnewline
0.415 & 0.661575243494201 & 0.0100921272599804 \tabularnewline
0.425 & 0.663323166090726 & 0.0104214840288739 \tabularnewline
0.435 & 0.665116099597167 & 0.0107123858896252 \tabularnewline
0.445 & 0.666948509757151 & 0.0109532500065617 \tabularnewline
0.455 & 0.668813165876938 & 0.0111354717476306 \tabularnewline
0.465 & 0.670702016791425 & 0.0112575617701537 \tabularnewline
0.475 & 0.672607103737009 & 0.0113240380140698 \tabularnewline
0.485 & 0.67452144248516 & 0.0113429938134372 \tabularnewline
0.495 & 0.676439809515108 & 0.0113290944548971 \tabularnewline
0.505 & 0.678359370870016 & 0.0112983702596733 \tabularnewline
0.515 & 0.680280097726197 & 0.011270301107321 \tabularnewline
0.525 & 0.682204920391624 & 0.0112653932567667 \tabularnewline
0.535 & 0.684139584021846 & 0.0113024727084407 \tabularnewline
0.545 & 0.686092186830908 & 0.0113967768162875 \tabularnewline
0.555 & 0.688072406630382 & 0.0115580381195207 \tabularnewline
0.565 & 0.690090454318554 & 0.0117878631435939 \tabularnewline
0.575 & 0.692155831184916 & 0.0120782319135639 \tabularnewline
0.585 & 0.694276005485096 & 0.0124116407051356 \tabularnewline
0.595 & 0.696455155262935 & 0.0127628023348566 \tabularnewline
0.605 & 0.698693140591134 & 0.0130991983101720 \tabularnewline
0.615 & 0.700984862274358 & 0.0133858103127265 \tabularnewline
0.625 & 0.703320132044048 & 0.0135884899568784 \tabularnewline
0.635 & 0.705684122780649 & 0.0136792971516775 \tabularnewline
0.645 & 0.708058393074742 & 0.0136383194005607 \tabularnewline
0.655 & 0.710422399555916 & 0.0134563953155418 \tabularnewline
0.665 & 0.712755336112235 & 0.0131376793416436 \tabularnewline
0.675 & 0.715038084099711 & 0.0126985680421870 \tabularnewline
0.685 & 0.717255031625188 & 0.0121656774887136 \tabularnewline
0.695 & 0.719395528144288 & 0.0115745230986888 \tabularnewline
0.705 & 0.721454783103641 & 0.0109629650802078 \tabularnewline
0.715 & 0.723434089773202 & 0.0103721937453056 \tabularnewline
0.725 & 0.725340349643046 & 0.00983602320543718 \tabularnewline
0.735 & 0.727184977662039 & 0.00938028084446124 \tabularnewline
0.745 & 0.728982370409455 & 0.00901908750230887 \tabularnewline
0.755 & 0.730748202093938 & 0.00875453247599075 \tabularnewline
0.765 & 0.73249786031932 & 0.00857437137146008 \tabularnewline
0.775 & 0.73424533015503 & 0.00845956535309282 \tabularnewline
0.785 & 0.736002772965026 & 0.0083887219548585 \tabularnewline
0.795 & 0.737780928515603 & 0.00834449571359072 \tabularnewline
0.805 & 0.739590311400102 & 0.00831883867980357 \tabularnewline
0.815 & 0.741443003151876 & 0.00831509257439 \tabularnewline
0.825 & 0.743354689839927 & 0.00834987511503456 \tabularnewline
0.835 & 0.745346483461787 & 0.00844830878889867 \tabularnewline
0.845 & 0.747446000877693 & 0.00864025280320588 \tabularnewline
0.855 & 0.749687154943176 & 0.00894901439981762 \tabularnewline
0.865 & 0.75210815522575 & 0.0093858846413202 \tabularnewline
0.875 & 0.754747388939157 & 0.00994017088943353 \tabularnewline
0.885 & 0.757637285000133 & 0.0105705921774223 \tabularnewline
0.895 & 0.760797067459585 & 0.0112009827136675 \tabularnewline
0.905 & 0.764226375991969 & 0.0117241879175230 \tabularnewline
0.915 & 0.767902494083129 & 0.0120221434070073 \tabularnewline
0.925 & 0.771783267165998 & 0.0120018004396782 \tabularnewline
0.935 & 0.775814613327083 & 0.0116382027535895 \tabularnewline
0.945 & 0.779936108281919 & 0.0109905362888290 \tabularnewline
0.955 & 0.784073593884732 & 0.010144235861707 \tabularnewline
0.965 & 0.788109826750065 & 0.00907331762301287 \tabularnewline
0.975 & 0.791838071020074 & 0.00758642371437247 \tabularnewline
0.985 & 0.794930824704905 & 0.00562824988883700 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49983&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.005[/C][C]0.55121580288045[/C][C]0.00849174798520581[/C][/ROW]
[ROW][C]0.015[/C][C]0.555314142976793[/C][C]0.0110874307097745[/C][/ROW]
[ROW][C]0.025[/C][C]0.561439715997768[/C][C]0.0151381540026113[/C][/ROW]
[ROW][C]0.035[/C][C]0.568818725290318[/C][C]0.0185450930850830[/C][/ROW]
[ROW][C]0.045[/C][C]0.57665117871642[/C][C]0.0199085685824479[/C][/ROW]
[ROW][C]0.055[/C][C]0.584216411658161[/C][C]0.0190390517478459[/C][/ROW]
[ROW][C]0.065[/C][C]0.590969665603922[/C][C]0.016586766454881[/C][/ROW]
[ROW][C]0.075[/C][C]0.596616152919546[/C][C]0.0134971462537298[/C][/ROW]
[ROW][C]0.085[/C][C]0.601114668125337[/C][C]0.0105945651111453[/C][/ROW]
[ROW][C]0.095[/C][C]0.604613060670967[/C][C]0.00839812923819191[/C][/ROW]
[ROW][C]0.105[/C][C]0.607354872094305[/C][C]0.00710578896099408[/C][/ROW]
[ROW][C]0.115[/C][C]0.609596186389508[/C][C]0.00662863000066348[/C][/ROW]
[ROW][C]0.125[/C][C]0.611552484272212[/C][C]0.00669513003851797[/C][/ROW]
[ROW][C]0.135[/C][C]0.613376808161775[/C][C]0.0070175125595214[/C][/ROW]
[ROW][C]0.145[/C][C]0.615160735287191[/C][C]0.0073960850368524[/C][/ROW]
[ROW][C]0.155[/C][C]0.616947625928536[/C][C]0.0077225997170385[/C][/ROW]
[ROW][C]0.165[/C][C]0.618749673167223[/C][C]0.00796013289202098[/C][/ROW]
[ROW][C]0.175[/C][C]0.620563422520305[/C][C]0.00811888895202201[/C][/ROW]
[ROW][C]0.185[/C][C]0.622381163980453[/C][C]0.00823664244396285[/C][/ROW]
[ROW][C]0.195[/C][C]0.624197527001349[/C][C]0.00835773523073256[/C][/ROW]
[ROW][C]0.205[/C][C]0.62601180929422[/C][C]0.00851420727088029[/C][/ROW]
[ROW][C]0.215[/C][C]0.627827216130041[/C][C]0.00871899135448933[/C][/ROW]
[ROW][C]0.225[/C][C]0.62964841438189[/C][C]0.00895907463038899[/C][/ROW]
[ROW][C]0.235[/C][C]0.631478714970533[/C][C]0.00920511612221817[/C][/ROW]
[ROW][C]0.245[/C][C]0.633317884315197[/C][C]0.00942040161201351[/C][/ROW]
[ROW][C]0.255[/C][C]0.635161155452949[/C][C]0.0095696512000349[/C][/ROW]
[ROW][C]0.265[/C][C]0.63699956999649[/C][C]0.00963023712897148[/C][/ROW]
[ROW][C]0.275[/C][C]0.63882142295674[/C][C]0.00959180540066359[/C][/ROW]
[ROW][C]0.285[/C][C]0.640614359485718[/C][C]0.00946437623610925[/C][/ROW]
[ROW][C]0.295[/C][C]0.64236760094225[/C][C]0.00926705817937402[/C][/ROW]
[ROW][C]0.305[/C][C]0.644073836453504[/C][C]0.00903224289590517[/C][/ROW]
[ROW][C]0.315[/C][C]0.645730461042259[/C][C]0.00879416549202313[/C][/ROW]
[ROW][C]0.325[/C][C]0.647340020313298[/C][C]0.00858982105201902[/C][/ROW]
[ROW][C]0.335[/C][C]0.648909888578658[/C][C]0.00844991539654874[/C][/ROW]
[ROW][C]0.345[/C][C]0.650451331077761[/C][C]0.00839418031987323[/C][/ROW]
[ROW][C]0.355[/C][C]0.651978168537403[/C][C]0.00843244550184891[/C][/ROW]
[ROW][C]0.365[/C][C]0.653505276464891[/C][C]0.00856510291883854[/C][/ROW]
[ROW][C]0.375[/C][C]0.655047125441165[/C][C]0.00878045866934027[/C][/ROW]
[ROW][C]0.385[/C][C]0.656616519521835[/C][C]0.0090632258409592[/C][/ROW]
[ROW][C]0.395[/C][C]0.65822363362417[/C][C]0.0093913574992991[/C][/ROW]
[ROW][C]0.405[/C][C]0.659875398899295[/C][C]0.00974184122091017[/C][/ROW]
[ROW][C]0.415[/C][C]0.661575243494201[/C][C]0.0100921272599804[/C][/ROW]
[ROW][C]0.425[/C][C]0.663323166090726[/C][C]0.0104214840288739[/C][/ROW]
[ROW][C]0.435[/C][C]0.665116099597167[/C][C]0.0107123858896252[/C][/ROW]
[ROW][C]0.445[/C][C]0.666948509757151[/C][C]0.0109532500065617[/C][/ROW]
[ROW][C]0.455[/C][C]0.668813165876938[/C][C]0.0111354717476306[/C][/ROW]
[ROW][C]0.465[/C][C]0.670702016791425[/C][C]0.0112575617701537[/C][/ROW]
[ROW][C]0.475[/C][C]0.672607103737009[/C][C]0.0113240380140698[/C][/ROW]
[ROW][C]0.485[/C][C]0.67452144248516[/C][C]0.0113429938134372[/C][/ROW]
[ROW][C]0.495[/C][C]0.676439809515108[/C][C]0.0113290944548971[/C][/ROW]
[ROW][C]0.505[/C][C]0.678359370870016[/C][C]0.0112983702596733[/C][/ROW]
[ROW][C]0.515[/C][C]0.680280097726197[/C][C]0.011270301107321[/C][/ROW]
[ROW][C]0.525[/C][C]0.682204920391624[/C][C]0.0112653932567667[/C][/ROW]
[ROW][C]0.535[/C][C]0.684139584021846[/C][C]0.0113024727084407[/C][/ROW]
[ROW][C]0.545[/C][C]0.686092186830908[/C][C]0.0113967768162875[/C][/ROW]
[ROW][C]0.555[/C][C]0.688072406630382[/C][C]0.0115580381195207[/C][/ROW]
[ROW][C]0.565[/C][C]0.690090454318554[/C][C]0.0117878631435939[/C][/ROW]
[ROW][C]0.575[/C][C]0.692155831184916[/C][C]0.0120782319135639[/C][/ROW]
[ROW][C]0.585[/C][C]0.694276005485096[/C][C]0.0124116407051356[/C][/ROW]
[ROW][C]0.595[/C][C]0.696455155262935[/C][C]0.0127628023348566[/C][/ROW]
[ROW][C]0.605[/C][C]0.698693140591134[/C][C]0.0130991983101720[/C][/ROW]
[ROW][C]0.615[/C][C]0.700984862274358[/C][C]0.0133858103127265[/C][/ROW]
[ROW][C]0.625[/C][C]0.703320132044048[/C][C]0.0135884899568784[/C][/ROW]
[ROW][C]0.635[/C][C]0.705684122780649[/C][C]0.0136792971516775[/C][/ROW]
[ROW][C]0.645[/C][C]0.708058393074742[/C][C]0.0136383194005607[/C][/ROW]
[ROW][C]0.655[/C][C]0.710422399555916[/C][C]0.0134563953155418[/C][/ROW]
[ROW][C]0.665[/C][C]0.712755336112235[/C][C]0.0131376793416436[/C][/ROW]
[ROW][C]0.675[/C][C]0.715038084099711[/C][C]0.0126985680421870[/C][/ROW]
[ROW][C]0.685[/C][C]0.717255031625188[/C][C]0.0121656774887136[/C][/ROW]
[ROW][C]0.695[/C][C]0.719395528144288[/C][C]0.0115745230986888[/C][/ROW]
[ROW][C]0.705[/C][C]0.721454783103641[/C][C]0.0109629650802078[/C][/ROW]
[ROW][C]0.715[/C][C]0.723434089773202[/C][C]0.0103721937453056[/C][/ROW]
[ROW][C]0.725[/C][C]0.725340349643046[/C][C]0.00983602320543718[/C][/ROW]
[ROW][C]0.735[/C][C]0.727184977662039[/C][C]0.00938028084446124[/C][/ROW]
[ROW][C]0.745[/C][C]0.728982370409455[/C][C]0.00901908750230887[/C][/ROW]
[ROW][C]0.755[/C][C]0.730748202093938[/C][C]0.00875453247599075[/C][/ROW]
[ROW][C]0.765[/C][C]0.73249786031932[/C][C]0.00857437137146008[/C][/ROW]
[ROW][C]0.775[/C][C]0.73424533015503[/C][C]0.00845956535309282[/C][/ROW]
[ROW][C]0.785[/C][C]0.736002772965026[/C][C]0.0083887219548585[/C][/ROW]
[ROW][C]0.795[/C][C]0.737780928515603[/C][C]0.00834449571359072[/C][/ROW]
[ROW][C]0.805[/C][C]0.739590311400102[/C][C]0.00831883867980357[/C][/ROW]
[ROW][C]0.815[/C][C]0.741443003151876[/C][C]0.00831509257439[/C][/ROW]
[ROW][C]0.825[/C][C]0.743354689839927[/C][C]0.00834987511503456[/C][/ROW]
[ROW][C]0.835[/C][C]0.745346483461787[/C][C]0.00844830878889867[/C][/ROW]
[ROW][C]0.845[/C][C]0.747446000877693[/C][C]0.00864025280320588[/C][/ROW]
[ROW][C]0.855[/C][C]0.749687154943176[/C][C]0.00894901439981762[/C][/ROW]
[ROW][C]0.865[/C][C]0.75210815522575[/C][C]0.0093858846413202[/C][/ROW]
[ROW][C]0.875[/C][C]0.754747388939157[/C][C]0.00994017088943353[/C][/ROW]
[ROW][C]0.885[/C][C]0.757637285000133[/C][C]0.0105705921774223[/C][/ROW]
[ROW][C]0.895[/C][C]0.760797067459585[/C][C]0.0112009827136675[/C][/ROW]
[ROW][C]0.905[/C][C]0.764226375991969[/C][C]0.0117241879175230[/C][/ROW]
[ROW][C]0.915[/C][C]0.767902494083129[/C][C]0.0120221434070073[/C][/ROW]
[ROW][C]0.925[/C][C]0.771783267165998[/C][C]0.0120018004396782[/C][/ROW]
[ROW][C]0.935[/C][C]0.775814613327083[/C][C]0.0116382027535895[/C][/ROW]
[ROW][C]0.945[/C][C]0.779936108281919[/C][C]0.0109905362888290[/C][/ROW]
[ROW][C]0.955[/C][C]0.784073593884732[/C][C]0.010144235861707[/C][/ROW]
[ROW][C]0.965[/C][C]0.788109826750065[/C][C]0.00907331762301287[/C][/ROW]
[ROW][C]0.975[/C][C]0.791838071020074[/C][C]0.00758642371437247[/C][/ROW]
[ROW][C]0.985[/C][C]0.794930824704905[/C][C]0.00562824988883700[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49983&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49983&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
0.0050.551215802880450.00849174798520581
0.0150.5553141429767930.0110874307097745
0.0250.5614397159977680.0151381540026113
0.0350.5688187252903180.0185450930850830
0.0450.576651178716420.0199085685824479
0.0550.5842164116581610.0190390517478459
0.0650.5909696656039220.016586766454881
0.0750.5966161529195460.0134971462537298
0.0850.6011146681253370.0105945651111453
0.0950.6046130606709670.00839812923819191
0.1050.6073548720943050.00710578896099408
0.1150.6095961863895080.00662863000066348
0.1250.6115524842722120.00669513003851797
0.1350.6133768081617750.0070175125595214
0.1450.6151607352871910.0073960850368524
0.1550.6169476259285360.0077225997170385
0.1650.6187496731672230.00796013289202098
0.1750.6205634225203050.00811888895202201
0.1850.6223811639804530.00823664244396285
0.1950.6241975270013490.00835773523073256
0.2050.626011809294220.00851420727088029
0.2150.6278272161300410.00871899135448933
0.2250.629648414381890.00895907463038899
0.2350.6314787149705330.00920511612221817
0.2450.6333178843151970.00942040161201351
0.2550.6351611554529490.0095696512000349
0.2650.636999569996490.00963023712897148
0.2750.638821422956740.00959180540066359
0.2850.6406143594857180.00946437623610925
0.2950.642367600942250.00926705817937402
0.3050.6440738364535040.00903224289590517
0.3150.6457304610422590.00879416549202313
0.3250.6473400203132980.00858982105201902
0.3350.6489098885786580.00844991539654874
0.3450.6504513310777610.00839418031987323
0.3550.6519781685374030.00843244550184891
0.3650.6535052764648910.00856510291883854
0.3750.6550471254411650.00878045866934027
0.3850.6566165195218350.0090632258409592
0.3950.658223633624170.0093913574992991
0.4050.6598753988992950.00974184122091017
0.4150.6615752434942010.0100921272599804
0.4250.6633231660907260.0104214840288739
0.4350.6651160995971670.0107123858896252
0.4450.6669485097571510.0109532500065617
0.4550.6688131658769380.0111354717476306
0.4650.6707020167914250.0112575617701537
0.4750.6726071037370090.0113240380140698
0.4850.674521442485160.0113429938134372
0.4950.6764398095151080.0113290944548971
0.5050.6783593708700160.0112983702596733
0.5150.6802800977261970.011270301107321
0.5250.6822049203916240.0112653932567667
0.5350.6841395840218460.0113024727084407
0.5450.6860921868309080.0113967768162875
0.5550.6880724066303820.0115580381195207
0.5650.6900904543185540.0117878631435939
0.5750.6921558311849160.0120782319135639
0.5850.6942760054850960.0124116407051356
0.5950.6964551552629350.0127628023348566
0.6050.6986931405911340.0130991983101720
0.6150.7009848622743580.0133858103127265
0.6250.7033201320440480.0135884899568784
0.6350.7056841227806490.0136792971516775
0.6450.7080583930747420.0136383194005607
0.6550.7104223995559160.0134563953155418
0.6650.7127553361122350.0131376793416436
0.6750.7150380840997110.0126985680421870
0.6850.7172550316251880.0121656774887136
0.6950.7193955281442880.0115745230986888
0.7050.7214547831036410.0109629650802078
0.7150.7234340897732020.0103721937453056
0.7250.7253403496430460.00983602320543718
0.7350.7271849776620390.00938028084446124
0.7450.7289823704094550.00901908750230887
0.7550.7307482020939380.00875453247599075
0.7650.732497860319320.00857437137146008
0.7750.734245330155030.00845956535309282
0.7850.7360027729650260.0083887219548585
0.7950.7377809285156030.00834449571359072
0.8050.7395903114001020.00831883867980357
0.8150.7414430031518760.00831509257439
0.8250.7433546898399270.00834987511503456
0.8350.7453464834617870.00844830878889867
0.8450.7474460008776930.00864025280320588
0.8550.7496871549431760.00894901439981762
0.8650.752108155225750.0093858846413202
0.8750.7547473889391570.00994017088943353
0.8850.7576372850001330.0105705921774223
0.8950.7607970674595850.0112009827136675
0.9050.7642263759919690.0117241879175230
0.9150.7679024940831290.0120221434070073
0.9250.7717832671659980.0120018004396782
0.9350.7758146133270830.0116382027535895
0.9450.7799361082819190.0109905362888290
0.9550.7840735938847320.010144235861707
0.9650.7881098267500650.00907331762301287
0.9750.7918380710200740.00758642371437247
0.9850.7949308247049050.00562824988883700


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.005 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.005 ; 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')