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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 computationWed, 16 Nov 2011 09:32:14 -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/2011/Nov/16/t1321453946yyl8b3mcddv30cw.htm/, Retrieved Fri, 26 Apr 2024 19:12:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=143978, Retrieved Fri, 26 Apr 2024 19:12:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

Tree of Dependent Computations

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

Dataseries X:
Download CSV
Histogram
Boxplots 
33.865	
	32.226	
	31.077	
	31.293	
	30.236	
	30.160	
	32.436	
	30.695	
	27.525	
	26.434	
	25.739	
	25.204	
	24.977	
	24.320	
	22.680	
	22.052	
	21.467	
	21.383	
	21.777	
	21.928	
	21.814	
	22.937	
	23.595	
	20.830	
	19.650	
	19.195	
	19.644	
	18.483	
	18.079	
	19.178	
	18.391	
	18.441	
	18.584	
	20.108	
	20.148	
	19.394	
	17.745	
	17.696	
	17.032	
	16.438	
	15.683	
	15.594	
	15.713	
	15.937	
	16.171	
	15.928	
	16.348	
	15.579	
	15.305	
	15.648	
	14.954	
	15.137	
	15.839	
	16.050	
	15.168	
	17.064	
	16.005	
	14.886	
	14.931	
	14.544	
	13.812

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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143978&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143978&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143978&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0113.98227455471490.628346373870395
0.0214.22382030316060.500674659248394
0.0314.45913219752820.37942582304932
0.0414.64918516342460.285519971024701
0.0514.79028882044450.224590016750886
0.0614.89476519778030.195477335132476
0.0714.97707398183160.191289298135591
0.0815.04820976106530.201414043032015
0.0915.1148596793610.216553375220875
0.115.18028045201580.230730924976833
0.1115.24546353163270.240644595803949
0.1215.31012352767350.244883495219162
0.1315.37342303564120.243437425088222
0.1415.43445809594950.237362568151222
0.1515.4925501288030.228415390573041
0.1615.54738812718960.218728137250939
0.1715.59906025697030.210319480488881
0.1815.64801173460730.204868853945576
0.1915.6949640751850.203503965002599
0.215.74082619513060.206869488259184
0.2115.78661904664960.215342068422214
0.2215.83342390574670.229200066205931
0.2315.88235321754140.248762698912778
0.2415.93453494719180.274426225814087
0.2515.99109822099910.306414638539044
0.2616.0531495097190.344769581056583
0.2716.12173329472230.389083710111443
0.2816.19777714212080.438512841523417
0.2916.28202660942160.491750094392007
0.316.37497918716670.547079109388148
0.3116.47682796548140.602478682590393
0.3216.58742493520750.655797698697757
0.3316.70627122536410.70493350531064
0.3416.83253780922590.747963200312684
0.3516.96511601082750.783400105310347
0.3617.10269319062640.810271673873197
0.3717.24384583564760.828203112073986
0.3817.38714030978320.837455799073847
0.3917.53123093003630.838816058002845
0.417.6749458281980.833630959577298
0.4117.81735305594670.82354161362074
0.4217.95780225738620.810444799550433
0.4318.09594051183750.796178795406265
0.4418.23170412822860.78251548975856
0.4518.36529075488680.770946789719668
0.4618.49711776066070.762611380752069
0.4718.62777323164430.758326042549797
0.4818.75796513532030.758519135815871
0.4918.88847250359220.763376402806259
0.519.02010035921480.772863041515976
0.5119.15363814977740.78675752882156
0.5219.28982022821010.804685715678937
0.5319.42928682572550.825984344994985
0.5419.57254510712790.84986128315039
0.5519.71993203408410.87515761778162
0.5619.87158331995010.900489390831481
0.5720.02741496098910.924321828140065
0.5820.18712486591950.94507379539199
0.5920.35022135201790.961415837415253
0.620.51608247178090.972360724916512
0.6120.68404550140770.977682587127262
0.6220.85352017377890.977857953778978
0.6321.02411347034220.974323727090909
0.6421.19574927237610.969362599874945
0.6521.36876410233030.965903067281774
0.6621.54396140414540.967277284871089
0.6721.72261160978380.976612839781946
0.6821.90639324894630.99647775753125
0.6922.09728055240511.02826846545088
0.722.29739379051021.07202430596627
0.7122.50883800341131.12644555144951
0.7222.73356167112741.18913976161722
0.7322.97326717316341.25730528767333
0.7423.22939793556611.32822574978739
0.7523.50321213916941.39992374104206
0.7623.79593038137321.47171922965784
0.7724.10891747672561.54440228733266
0.7824.4438320589491.62018267231601
0.7924.80265993403681.70187419450319
0.825.18754804654621.79163291245273
0.8125.60038442832921.88912490590263
0.8226.04212967139921.99002283565668
0.8326.51199177958962.08510687856808
0.8427.00663018448622.16077358156523
0.8527.51964527918672.20112354091155
0.8628.04162026882692.19134262657607
0.8728.56090282172972.12163670459099
0.8829.06513837621921.9907321586135
0.8929.5433249728851.80785330291152
0.929.98792353987671.59229011456024
0.9130.39643888937851.37005652057218
0.9230.77201705963311.16823821154596
0.9331.12307476421481.00718748993155
0.9431.46266100832280.89325132886671
0.9531.80847277912880.819344227141798
0.9632.18277205006960.78304981427488
0.9732.60677834622850.814028547459896
0.9833.07982374415350.959696068910951
0.9933.54294700957081.19836983705496

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 13.9822745547149 & 0.628346373870395 \tabularnewline
0.02 & 14.2238203031606 & 0.500674659248394 \tabularnewline
0.03 & 14.4591321975282 & 0.37942582304932 \tabularnewline
0.04 & 14.6491851634246 & 0.285519971024701 \tabularnewline
0.05 & 14.7902888204445 & 0.224590016750886 \tabularnewline
0.06 & 14.8947651977803 & 0.195477335132476 \tabularnewline
0.07 & 14.9770739818316 & 0.191289298135591 \tabularnewline
0.08 & 15.0482097610653 & 0.201414043032015 \tabularnewline
0.09 & 15.114859679361 & 0.216553375220875 \tabularnewline
0.1 & 15.1802804520158 & 0.230730924976833 \tabularnewline
0.11 & 15.2454635316327 & 0.240644595803949 \tabularnewline
0.12 & 15.3101235276735 & 0.244883495219162 \tabularnewline
0.13 & 15.3734230356412 & 0.243437425088222 \tabularnewline
0.14 & 15.4344580959495 & 0.237362568151222 \tabularnewline
0.15 & 15.492550128803 & 0.228415390573041 \tabularnewline
0.16 & 15.5473881271896 & 0.218728137250939 \tabularnewline
0.17 & 15.5990602569703 & 0.210319480488881 \tabularnewline
0.18 & 15.6480117346073 & 0.204868853945576 \tabularnewline
0.19 & 15.694964075185 & 0.203503965002599 \tabularnewline
0.2 & 15.7408261951306 & 0.206869488259184 \tabularnewline
0.21 & 15.7866190466496 & 0.215342068422214 \tabularnewline
0.22 & 15.8334239057467 & 0.229200066205931 \tabularnewline
0.23 & 15.8823532175414 & 0.248762698912778 \tabularnewline
0.24 & 15.9345349471918 & 0.274426225814087 \tabularnewline
0.25 & 15.9910982209991 & 0.306414638539044 \tabularnewline
0.26 & 16.053149509719 & 0.344769581056583 \tabularnewline
0.27 & 16.1217332947223 & 0.389083710111443 \tabularnewline
0.28 & 16.1977771421208 & 0.438512841523417 \tabularnewline
0.29 & 16.2820266094216 & 0.491750094392007 \tabularnewline
0.3 & 16.3749791871667 & 0.547079109388148 \tabularnewline
0.31 & 16.4768279654814 & 0.602478682590393 \tabularnewline
0.32 & 16.5874249352075 & 0.655797698697757 \tabularnewline
0.33 & 16.7062712253641 & 0.70493350531064 \tabularnewline
0.34 & 16.8325378092259 & 0.747963200312684 \tabularnewline
0.35 & 16.9651160108275 & 0.783400105310347 \tabularnewline
0.36 & 17.1026931906264 & 0.810271673873197 \tabularnewline
0.37 & 17.2438458356476 & 0.828203112073986 \tabularnewline
0.38 & 17.3871403097832 & 0.837455799073847 \tabularnewline
0.39 & 17.5312309300363 & 0.838816058002845 \tabularnewline
0.4 & 17.674945828198 & 0.833630959577298 \tabularnewline
0.41 & 17.8173530559467 & 0.82354161362074 \tabularnewline
0.42 & 17.9578022573862 & 0.810444799550433 \tabularnewline
0.43 & 18.0959405118375 & 0.796178795406265 \tabularnewline
0.44 & 18.2317041282286 & 0.78251548975856 \tabularnewline
0.45 & 18.3652907548868 & 0.770946789719668 \tabularnewline
0.46 & 18.4971177606607 & 0.762611380752069 \tabularnewline
0.47 & 18.6277732316443 & 0.758326042549797 \tabularnewline
0.48 & 18.7579651353203 & 0.758519135815871 \tabularnewline
0.49 & 18.8884725035922 & 0.763376402806259 \tabularnewline
0.5 & 19.0201003592148 & 0.772863041515976 \tabularnewline
0.51 & 19.1536381497774 & 0.78675752882156 \tabularnewline
0.52 & 19.2898202282101 & 0.804685715678937 \tabularnewline
0.53 & 19.4292868257255 & 0.825984344994985 \tabularnewline
0.54 & 19.5725451071279 & 0.84986128315039 \tabularnewline
0.55 & 19.7199320340841 & 0.87515761778162 \tabularnewline
0.56 & 19.8715833199501 & 0.900489390831481 \tabularnewline
0.57 & 20.0274149609891 & 0.924321828140065 \tabularnewline
0.58 & 20.1871248659195 & 0.94507379539199 \tabularnewline
0.59 & 20.3502213520179 & 0.961415837415253 \tabularnewline
0.6 & 20.5160824717809 & 0.972360724916512 \tabularnewline
0.61 & 20.6840455014077 & 0.977682587127262 \tabularnewline
0.62 & 20.8535201737789 & 0.977857953778978 \tabularnewline
0.63 & 21.0241134703422 & 0.974323727090909 \tabularnewline
0.64 & 21.1957492723761 & 0.969362599874945 \tabularnewline
0.65 & 21.3687641023303 & 0.965903067281774 \tabularnewline
0.66 & 21.5439614041454 & 0.967277284871089 \tabularnewline
0.67 & 21.7226116097838 & 0.976612839781946 \tabularnewline
0.68 & 21.9063932489463 & 0.99647775753125 \tabularnewline
0.69 & 22.0972805524051 & 1.02826846545088 \tabularnewline
0.7 & 22.2973937905102 & 1.07202430596627 \tabularnewline
0.71 & 22.5088380034113 & 1.12644555144951 \tabularnewline
0.72 & 22.7335616711274 & 1.18913976161722 \tabularnewline
0.73 & 22.9732671731634 & 1.25730528767333 \tabularnewline
0.74 & 23.2293979355661 & 1.32822574978739 \tabularnewline
0.75 & 23.5032121391694 & 1.39992374104206 \tabularnewline
0.76 & 23.7959303813732 & 1.47171922965784 \tabularnewline
0.77 & 24.1089174767256 & 1.54440228733266 \tabularnewline
0.78 & 24.443832058949 & 1.62018267231601 \tabularnewline
0.79 & 24.8026599340368 & 1.70187419450319 \tabularnewline
0.8 & 25.1875480465462 & 1.79163291245273 \tabularnewline
0.81 & 25.6003844283292 & 1.88912490590263 \tabularnewline
0.82 & 26.0421296713992 & 1.99002283565668 \tabularnewline
0.83 & 26.5119917795896 & 2.08510687856808 \tabularnewline
0.84 & 27.0066301844862 & 2.16077358156523 \tabularnewline
0.85 & 27.5196452791867 & 2.20112354091155 \tabularnewline
0.86 & 28.0416202688269 & 2.19134262657607 \tabularnewline
0.87 & 28.5609028217297 & 2.12163670459099 \tabularnewline
0.88 & 29.0651383762192 & 1.9907321586135 \tabularnewline
0.89 & 29.543324972885 & 1.80785330291152 \tabularnewline
0.9 & 29.9879235398767 & 1.59229011456024 \tabularnewline
0.91 & 30.3964388893785 & 1.37005652057218 \tabularnewline
0.92 & 30.7720170596331 & 1.16823821154596 \tabularnewline
0.93 & 31.1230747642148 & 1.00718748993155 \tabularnewline
0.94 & 31.4626610083228 & 0.89325132886671 \tabularnewline
0.95 & 31.8084727791288 & 0.819344227141798 \tabularnewline
0.96 & 32.1827720500696 & 0.78304981427488 \tabularnewline
0.97 & 32.6067783462285 & 0.814028547459896 \tabularnewline
0.98 & 33.0798237441535 & 0.959696068910951 \tabularnewline
0.99 & 33.5429470095708 & 1.19836983705496 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=143978&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]13.9822745547149[/C][C]0.628346373870395[/C][/ROW]
[ROW][C]0.02[/C][C]14.2238203031606[/C][C]0.500674659248394[/C][/ROW]
[ROW][C]0.03[/C][C]14.4591321975282[/C][C]0.37942582304932[/C][/ROW]
[ROW][C]0.04[/C][C]14.6491851634246[/C][C]0.285519971024701[/C][/ROW]
[ROW][C]0.05[/C][C]14.7902888204445[/C][C]0.224590016750886[/C][/ROW]
[ROW][C]0.06[/C][C]14.8947651977803[/C][C]0.195477335132476[/C][/ROW]
[ROW][C]0.07[/C][C]14.9770739818316[/C][C]0.191289298135591[/C][/ROW]
[ROW][C]0.08[/C][C]15.0482097610653[/C][C]0.201414043032015[/C][/ROW]
[ROW][C]0.09[/C][C]15.114859679361[/C][C]0.216553375220875[/C][/ROW]
[ROW][C]0.1[/C][C]15.1802804520158[/C][C]0.230730924976833[/C][/ROW]
[ROW][C]0.11[/C][C]15.2454635316327[/C][C]0.240644595803949[/C][/ROW]
[ROW][C]0.12[/C][C]15.3101235276735[/C][C]0.244883495219162[/C][/ROW]
[ROW][C]0.13[/C][C]15.3734230356412[/C][C]0.243437425088222[/C][/ROW]
[ROW][C]0.14[/C][C]15.4344580959495[/C][C]0.237362568151222[/C][/ROW]
[ROW][C]0.15[/C][C]15.492550128803[/C][C]0.228415390573041[/C][/ROW]
[ROW][C]0.16[/C][C]15.5473881271896[/C][C]0.218728137250939[/C][/ROW]
[ROW][C]0.17[/C][C]15.5990602569703[/C][C]0.210319480488881[/C][/ROW]
[ROW][C]0.18[/C][C]15.6480117346073[/C][C]0.204868853945576[/C][/ROW]
[ROW][C]0.19[/C][C]15.694964075185[/C][C]0.203503965002599[/C][/ROW]
[ROW][C]0.2[/C][C]15.7408261951306[/C][C]0.206869488259184[/C][/ROW]
[ROW][C]0.21[/C][C]15.7866190466496[/C][C]0.215342068422214[/C][/ROW]
[ROW][C]0.22[/C][C]15.8334239057467[/C][C]0.229200066205931[/C][/ROW]
[ROW][C]0.23[/C][C]15.8823532175414[/C][C]0.248762698912778[/C][/ROW]
[ROW][C]0.24[/C][C]15.9345349471918[/C][C]0.274426225814087[/C][/ROW]
[ROW][C]0.25[/C][C]15.9910982209991[/C][C]0.306414638539044[/C][/ROW]
[ROW][C]0.26[/C][C]16.053149509719[/C][C]0.344769581056583[/C][/ROW]
[ROW][C]0.27[/C][C]16.1217332947223[/C][C]0.389083710111443[/C][/ROW]
[ROW][C]0.28[/C][C]16.1977771421208[/C][C]0.438512841523417[/C][/ROW]
[ROW][C]0.29[/C][C]16.2820266094216[/C][C]0.491750094392007[/C][/ROW]
[ROW][C]0.3[/C][C]16.3749791871667[/C][C]0.547079109388148[/C][/ROW]
[ROW][C]0.31[/C][C]16.4768279654814[/C][C]0.602478682590393[/C][/ROW]
[ROW][C]0.32[/C][C]16.5874249352075[/C][C]0.655797698697757[/C][/ROW]
[ROW][C]0.33[/C][C]16.7062712253641[/C][C]0.70493350531064[/C][/ROW]
[ROW][C]0.34[/C][C]16.8325378092259[/C][C]0.747963200312684[/C][/ROW]
[ROW][C]0.35[/C][C]16.9651160108275[/C][C]0.783400105310347[/C][/ROW]
[ROW][C]0.36[/C][C]17.1026931906264[/C][C]0.810271673873197[/C][/ROW]
[ROW][C]0.37[/C][C]17.2438458356476[/C][C]0.828203112073986[/C][/ROW]
[ROW][C]0.38[/C][C]17.3871403097832[/C][C]0.837455799073847[/C][/ROW]
[ROW][C]0.39[/C][C]17.5312309300363[/C][C]0.838816058002845[/C][/ROW]
[ROW][C]0.4[/C][C]17.674945828198[/C][C]0.833630959577298[/C][/ROW]
[ROW][C]0.41[/C][C]17.8173530559467[/C][C]0.82354161362074[/C][/ROW]
[ROW][C]0.42[/C][C]17.9578022573862[/C][C]0.810444799550433[/C][/ROW]
[ROW][C]0.43[/C][C]18.0959405118375[/C][C]0.796178795406265[/C][/ROW]
[ROW][C]0.44[/C][C]18.2317041282286[/C][C]0.78251548975856[/C][/ROW]
[ROW][C]0.45[/C][C]18.3652907548868[/C][C]0.770946789719668[/C][/ROW]
[ROW][C]0.46[/C][C]18.4971177606607[/C][C]0.762611380752069[/C][/ROW]
[ROW][C]0.47[/C][C]18.6277732316443[/C][C]0.758326042549797[/C][/ROW]
[ROW][C]0.48[/C][C]18.7579651353203[/C][C]0.758519135815871[/C][/ROW]
[ROW][C]0.49[/C][C]18.8884725035922[/C][C]0.763376402806259[/C][/ROW]
[ROW][C]0.5[/C][C]19.0201003592148[/C][C]0.772863041515976[/C][/ROW]
[ROW][C]0.51[/C][C]19.1536381497774[/C][C]0.78675752882156[/C][/ROW]
[ROW][C]0.52[/C][C]19.2898202282101[/C][C]0.804685715678937[/C][/ROW]
[ROW][C]0.53[/C][C]19.4292868257255[/C][C]0.825984344994985[/C][/ROW]
[ROW][C]0.54[/C][C]19.5725451071279[/C][C]0.84986128315039[/C][/ROW]
[ROW][C]0.55[/C][C]19.7199320340841[/C][C]0.87515761778162[/C][/ROW]
[ROW][C]0.56[/C][C]19.8715833199501[/C][C]0.900489390831481[/C][/ROW]
[ROW][C]0.57[/C][C]20.0274149609891[/C][C]0.924321828140065[/C][/ROW]
[ROW][C]0.58[/C][C]20.1871248659195[/C][C]0.94507379539199[/C][/ROW]
[ROW][C]0.59[/C][C]20.3502213520179[/C][C]0.961415837415253[/C][/ROW]
[ROW][C]0.6[/C][C]20.5160824717809[/C][C]0.972360724916512[/C][/ROW]
[ROW][C]0.61[/C][C]20.6840455014077[/C][C]0.977682587127262[/C][/ROW]
[ROW][C]0.62[/C][C]20.8535201737789[/C][C]0.977857953778978[/C][/ROW]
[ROW][C]0.63[/C][C]21.0241134703422[/C][C]0.974323727090909[/C][/ROW]
[ROW][C]0.64[/C][C]21.1957492723761[/C][C]0.969362599874945[/C][/ROW]
[ROW][C]0.65[/C][C]21.3687641023303[/C][C]0.965903067281774[/C][/ROW]
[ROW][C]0.66[/C][C]21.5439614041454[/C][C]0.967277284871089[/C][/ROW]
[ROW][C]0.67[/C][C]21.7226116097838[/C][C]0.976612839781946[/C][/ROW]
[ROW][C]0.68[/C][C]21.9063932489463[/C][C]0.99647775753125[/C][/ROW]
[ROW][C]0.69[/C][C]22.0972805524051[/C][C]1.02826846545088[/C][/ROW]
[ROW][C]0.7[/C][C]22.2973937905102[/C][C]1.07202430596627[/C][/ROW]
[ROW][C]0.71[/C][C]22.5088380034113[/C][C]1.12644555144951[/C][/ROW]
[ROW][C]0.72[/C][C]22.7335616711274[/C][C]1.18913976161722[/C][/ROW]
[ROW][C]0.73[/C][C]22.9732671731634[/C][C]1.25730528767333[/C][/ROW]
[ROW][C]0.74[/C][C]23.2293979355661[/C][C]1.32822574978739[/C][/ROW]
[ROW][C]0.75[/C][C]23.5032121391694[/C][C]1.39992374104206[/C][/ROW]
[ROW][C]0.76[/C][C]23.7959303813732[/C][C]1.47171922965784[/C][/ROW]
[ROW][C]0.77[/C][C]24.1089174767256[/C][C]1.54440228733266[/C][/ROW]
[ROW][C]0.78[/C][C]24.443832058949[/C][C]1.62018267231601[/C][/ROW]
[ROW][C]0.79[/C][C]24.8026599340368[/C][C]1.70187419450319[/C][/ROW]
[ROW][C]0.8[/C][C]25.1875480465462[/C][C]1.79163291245273[/C][/ROW]
[ROW][C]0.81[/C][C]25.6003844283292[/C][C]1.88912490590263[/C][/ROW]
[ROW][C]0.82[/C][C]26.0421296713992[/C][C]1.99002283565668[/C][/ROW]
[ROW][C]0.83[/C][C]26.5119917795896[/C][C]2.08510687856808[/C][/ROW]
[ROW][C]0.84[/C][C]27.0066301844862[/C][C]2.16077358156523[/C][/ROW]
[ROW][C]0.85[/C][C]27.5196452791867[/C][C]2.20112354091155[/C][/ROW]
[ROW][C]0.86[/C][C]28.0416202688269[/C][C]2.19134262657607[/C][/ROW]
[ROW][C]0.87[/C][C]28.5609028217297[/C][C]2.12163670459099[/C][/ROW]
[ROW][C]0.88[/C][C]29.0651383762192[/C][C]1.9907321586135[/C][/ROW]
[ROW][C]0.89[/C][C]29.543324972885[/C][C]1.80785330291152[/C][/ROW]
[ROW][C]0.9[/C][C]29.9879235398767[/C][C]1.59229011456024[/C][/ROW]
[ROW][C]0.91[/C][C]30.3964388893785[/C][C]1.37005652057218[/C][/ROW]
[ROW][C]0.92[/C][C]30.7720170596331[/C][C]1.16823821154596[/C][/ROW]
[ROW][C]0.93[/C][C]31.1230747642148[/C][C]1.00718748993155[/C][/ROW]
[ROW][C]0.94[/C][C]31.4626610083228[/C][C]0.89325132886671[/C][/ROW]
[ROW][C]0.95[/C][C]31.8084727791288[/C][C]0.819344227141798[/C][/ROW]
[ROW][C]0.96[/C][C]32.1827720500696[/C][C]0.78304981427488[/C][/ROW]
[ROW][C]0.97[/C][C]32.6067783462285[/C][C]0.814028547459896[/C][/ROW]
[ROW][C]0.98[/C][C]33.0798237441535[/C][C]0.959696068910951[/C][/ROW]
[ROW][C]0.99[/C][C]33.5429470095708[/C][C]1.19836983705496[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=143978&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=143978&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
0.0113.98227455471490.628346373870395
0.0214.22382030316060.500674659248394
0.0314.45913219752820.37942582304932
0.0414.64918516342460.285519971024701
0.0514.79028882044450.224590016750886
0.0614.89476519778030.195477335132476
0.0714.97707398183160.191289298135591
0.0815.04820976106530.201414043032015
0.0915.1148596793610.216553375220875
0.115.18028045201580.230730924976833
0.1115.24546353163270.240644595803949
0.1215.31012352767350.244883495219162
0.1315.37342303564120.243437425088222
0.1415.43445809594950.237362568151222
0.1515.4925501288030.228415390573041
0.1615.54738812718960.218728137250939
0.1715.59906025697030.210319480488881
0.1815.64801173460730.204868853945576
0.1915.6949640751850.203503965002599
0.215.74082619513060.206869488259184
0.2115.78661904664960.215342068422214
0.2215.83342390574670.229200066205931
0.2315.88235321754140.248762698912778
0.2415.93453494719180.274426225814087
0.2515.99109822099910.306414638539044
0.2616.0531495097190.344769581056583
0.2716.12173329472230.389083710111443
0.2816.19777714212080.438512841523417
0.2916.28202660942160.491750094392007
0.316.37497918716670.547079109388148
0.3116.47682796548140.602478682590393
0.3216.58742493520750.655797698697757
0.3316.70627122536410.70493350531064
0.3416.83253780922590.747963200312684
0.3516.96511601082750.783400105310347
0.3617.10269319062640.810271673873197
0.3717.24384583564760.828203112073986
0.3817.38714030978320.837455799073847
0.3917.53123093003630.838816058002845
0.417.6749458281980.833630959577298
0.4117.81735305594670.82354161362074
0.4217.95780225738620.810444799550433
0.4318.09594051183750.796178795406265
0.4418.23170412822860.78251548975856
0.4518.36529075488680.770946789719668
0.4618.49711776066070.762611380752069
0.4718.62777323164430.758326042549797
0.4818.75796513532030.758519135815871
0.4918.88847250359220.763376402806259
0.519.02010035921480.772863041515976
0.5119.15363814977740.78675752882156
0.5219.28982022821010.804685715678937
0.5319.42928682572550.825984344994985
0.5419.57254510712790.84986128315039
0.5519.71993203408410.87515761778162
0.5619.87158331995010.900489390831481
0.5720.02741496098910.924321828140065
0.5820.18712486591950.94507379539199
0.5920.35022135201790.961415837415253
0.620.51608247178090.972360724916512
0.6120.68404550140770.977682587127262
0.6220.85352017377890.977857953778978
0.6321.02411347034220.974323727090909
0.6421.19574927237610.969362599874945
0.6521.36876410233030.965903067281774
0.6621.54396140414540.967277284871089
0.6721.72261160978380.976612839781946
0.6821.90639324894630.99647775753125
0.6922.09728055240511.02826846545088
0.722.29739379051021.07202430596627
0.7122.50883800341131.12644555144951
0.7222.73356167112741.18913976161722
0.7322.97326717316341.25730528767333
0.7423.22939793556611.32822574978739
0.7523.50321213916941.39992374104206
0.7623.79593038137321.47171922965784
0.7724.10891747672561.54440228733266
0.7824.4438320589491.62018267231601
0.7924.80265993403681.70187419450319
0.825.18754804654621.79163291245273
0.8125.60038442832921.88912490590263
0.8226.04212967139921.99002283565668
0.8326.51199177958962.08510687856808
0.8427.00663018448622.16077358156523
0.8527.51964527918672.20112354091155
0.8628.04162026882692.19134262657607
0.8728.56090282172972.12163670459099
0.8829.06513837621921.9907321586135
0.8929.5433249728851.80785330291152
0.929.98792353987671.59229011456024
0.9130.39643888937851.37005652057218
0.9230.77201705963311.16823821154596
0.9331.12307476421481.00718748993155
0.9431.46266100832280.89325132886671
0.9531.80847277912880.819344227141798
0.9632.18277205006960.78304981427488
0.9732.60677834622850.814028547459896
0.9833.07982374415350.959696068910951
0.9933.54294700957081.19836983705496


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')