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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 computationFri, 17 Oct 2008 09:36:53 -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/2008/Oct/17/t12242578600i8bw5r2l0i2cf2.htm/, Retrieved Sun, 19 May 2024 15:20:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16503, Retrieved Sun, 19 May 2024 15:20:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

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] [Opgave 4 - oefeni...] [2008-10-17 15:36:53] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,89
0,88
0,87
0,87
0,87
0,87
0,88
0,87
0,86
0,86
0,86
0,84
0,84
0,83
0,84
0,88
0,9
0,89
0,91
0,94
0,94
0,95
0,95
0,98
0,96
1
1,05
1,03
1,07
1,12
1,1
1,06
1,11
1,08
1,07
1,02
1
1,04
1,02
1,07
1,12
1,08
1,02
1,01
1,04
0,98
0,95
0,94
0,94
0,96
0,97
1,03
1,01
0,99
1
1
1,02
1,01
0,99
0,98
1,01
1,03
1,03
1
0,96
0,97
0,98
1,02
1,04
1,01
1,01
1
1,01
1,02
1,03
1,06
1,12
1,12
1,13
1,13
1,13
1,17
1,14
1,08
1,07
1,12
1,14
1,21
1,2
1,23
1,29
1,31
1,37
1,35
1,26
1,26

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16503&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16503&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16503&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.833850554834930.00706017778645233
0.020.8388546599371030.00598199841218706
0.030.8436585887615020.0080592649137295
0.040.8485436039700030.00987722322459334
0.050.8534849641389340.0100275202403890
0.060.858064462752820.00901650042762278
0.070.8619866997412790.00778080955465789
0.080.8652501600023720.00690651321646426
0.090.8680476601470480.00663514369876295
0.10.8706397501603720.00707835551417889
0.110.8732854142612970.00825180758266586
0.120.8762134679254980.0100736448070896
0.130.879608162891760.0124125891508280
0.140.8835983052853470.0151035192319099
0.150.888247857679070.0179272463909351
0.160.8935485357469840.0206105691455651
0.170.8994172305451340.0228530532624647
0.180.9057028635940660.0243896829032384
0.190.9122058449348940.0250549385003929
0.20.918708574939250.0248310018711787
0.210.9250102497093220.0238509033550329
0.220.930956796336360.0223558723384418
0.230.9364583592416550.0206390897323411
0.240.9414912899551990.0189701756357052
0.250.9460866758617430.0175478640867905
0.260.9503109164859720.0164683402506019
0.270.954244759368690.0157356026462535
0.280.9579658848666920.0152874168624684
0.290.961537682097290.0150326555611517
0.30.9650044451629940.0148799824548854
0.310.9683915835098740.0147548635280812
0.320.971708794335650.0146063313981703
0.330.9749543054831150.0144016579363283
0.340.9781189073851770.0141238365779325
0.350.981189199951530.0137624342742612
0.360.9841500336865810.0133171967208976
0.370.986986405211850.0127887476410912
0.380.9896850814037750.0121881626656941
0.390.992236069935790.0115330257755788
0.40.994633862124810.0108482947141348
0.410.9968782616363750.0101639747448800
0.420.9989746303747250.00950914453278426
0.431.000933505676480.00891274090907016
0.441.002769695861010.0083926254522928
0.451.004501066695030.00795943634342803
0.461.006147250397360.00762017941810152
0.471.007728454688740.00737535811177248
0.481.009264469836500.00722001737950987
0.491.010773914603210.00714900538393932
0.51.01227374738820.00715251552704898
0.511.013779082201550.00721804082360444
0.521.015303357390940.00733783925777263
0.531.016858880980260.00750588543554607
0.541.018457714872850.00772041063561194
0.551.020112777493080.00799075667483565
0.561.021838965688470.00832809491108358
0.571.023654041540480.00875052443552469
0.581.025579008272280.00927471077020325
0.591.027637719056220.00991358686453691
0.61.029855536842770.0106724880864690
0.611.032257012044360.0115434344307004
0.621.034862778836460.0124969811141933
0.631.037686168241250.0134869563365622
0.641.040730325244690.0144547911294094
0.651.043986780717670.0153355898851596
0.661.047436337947380.0160744663071419
0.671.051052703533930.0166379997522979
0.681.054808541250170.0170329317631228
0.691.058682710527980.0173053070970236
0.71.062666650436950.0175323477807509
0.711.066767527817550.0178094899892828
0.721.071006174179470.0182144899094995
0.731.075409092973910.0187705386014504
0.741.079995733644310.0194231060236694
0.751.084764282293430.0200440441530192
0.761.089680666353730.0204578946970279
0.771.094675589922620.0204933861730735
0.781.099652847838540.0200378001524191
0.791.104509202695310.0190842700272662
0.81.109162730854510.0177523535585553
0.811.113584055550220.0162881262891097
0.821.117824210565300.0150409099785850
0.831.122033883126080.0144219105040328
0.841.126470202612270.0148413488372727
0.851.131487584043230.0166025658499069
0.861.137508287215170.0197869624900298
0.871.14496862168970.0242126378412398
0.881.154241814303650.0294129690240902
0.891.165550172588950.034669718102423
0.91.178893698740860.0391347778894835
0.911.194031292027940.0420483143950591
0.921.210546079478820.0429940892004905
0.931.228005223234120.0420952273585527
0.941.246186899438410.0400789992497995
0.951.265290306156660.0381122963750801
0.961.285962203911490.0372020123639488
0.971.308876097527100.0370365071502592
0.981.333563603094390.0347078840779730
0.991.356459720028860.0269264550408231

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.83385055483493 & 0.00706017778645233 \tabularnewline
0.02 & 0.838854659937103 & 0.00598199841218706 \tabularnewline
0.03 & 0.843658588761502 & 0.0080592649137295 \tabularnewline
0.04 & 0.848543603970003 & 0.00987722322459334 \tabularnewline
0.05 & 0.853484964138934 & 0.0100275202403890 \tabularnewline
0.06 & 0.85806446275282 & 0.00901650042762278 \tabularnewline
0.07 & 0.861986699741279 & 0.00778080955465789 \tabularnewline
0.08 & 0.865250160002372 & 0.00690651321646426 \tabularnewline
0.09 & 0.868047660147048 & 0.00663514369876295 \tabularnewline
0.1 & 0.870639750160372 & 0.00707835551417889 \tabularnewline
0.11 & 0.873285414261297 & 0.00825180758266586 \tabularnewline
0.12 & 0.876213467925498 & 0.0100736448070896 \tabularnewline
0.13 & 0.87960816289176 & 0.0124125891508280 \tabularnewline
0.14 & 0.883598305285347 & 0.0151035192319099 \tabularnewline
0.15 & 0.88824785767907 & 0.0179272463909351 \tabularnewline
0.16 & 0.893548535746984 & 0.0206105691455651 \tabularnewline
0.17 & 0.899417230545134 & 0.0228530532624647 \tabularnewline
0.18 & 0.905702863594066 & 0.0243896829032384 \tabularnewline
0.19 & 0.912205844934894 & 0.0250549385003929 \tabularnewline
0.2 & 0.91870857493925 & 0.0248310018711787 \tabularnewline
0.21 & 0.925010249709322 & 0.0238509033550329 \tabularnewline
0.22 & 0.93095679633636 & 0.0223558723384418 \tabularnewline
0.23 & 0.936458359241655 & 0.0206390897323411 \tabularnewline
0.24 & 0.941491289955199 & 0.0189701756357052 \tabularnewline
0.25 & 0.946086675861743 & 0.0175478640867905 \tabularnewline
0.26 & 0.950310916485972 & 0.0164683402506019 \tabularnewline
0.27 & 0.95424475936869 & 0.0157356026462535 \tabularnewline
0.28 & 0.957965884866692 & 0.0152874168624684 \tabularnewline
0.29 & 0.96153768209729 & 0.0150326555611517 \tabularnewline
0.3 & 0.965004445162994 & 0.0148799824548854 \tabularnewline
0.31 & 0.968391583509874 & 0.0147548635280812 \tabularnewline
0.32 & 0.97170879433565 & 0.0146063313981703 \tabularnewline
0.33 & 0.974954305483115 & 0.0144016579363283 \tabularnewline
0.34 & 0.978118907385177 & 0.0141238365779325 \tabularnewline
0.35 & 0.98118919995153 & 0.0137624342742612 \tabularnewline
0.36 & 0.984150033686581 & 0.0133171967208976 \tabularnewline
0.37 & 0.98698640521185 & 0.0127887476410912 \tabularnewline
0.38 & 0.989685081403775 & 0.0121881626656941 \tabularnewline
0.39 & 0.99223606993579 & 0.0115330257755788 \tabularnewline
0.4 & 0.99463386212481 & 0.0108482947141348 \tabularnewline
0.41 & 0.996878261636375 & 0.0101639747448800 \tabularnewline
0.42 & 0.998974630374725 & 0.00950914453278426 \tabularnewline
0.43 & 1.00093350567648 & 0.00891274090907016 \tabularnewline
0.44 & 1.00276969586101 & 0.0083926254522928 \tabularnewline
0.45 & 1.00450106669503 & 0.00795943634342803 \tabularnewline
0.46 & 1.00614725039736 & 0.00762017941810152 \tabularnewline
0.47 & 1.00772845468874 & 0.00737535811177248 \tabularnewline
0.48 & 1.00926446983650 & 0.00722001737950987 \tabularnewline
0.49 & 1.01077391460321 & 0.00714900538393932 \tabularnewline
0.5 & 1.0122737473882 & 0.00715251552704898 \tabularnewline
0.51 & 1.01377908220155 & 0.00721804082360444 \tabularnewline
0.52 & 1.01530335739094 & 0.00733783925777263 \tabularnewline
0.53 & 1.01685888098026 & 0.00750588543554607 \tabularnewline
0.54 & 1.01845771487285 & 0.00772041063561194 \tabularnewline
0.55 & 1.02011277749308 & 0.00799075667483565 \tabularnewline
0.56 & 1.02183896568847 & 0.00832809491108358 \tabularnewline
0.57 & 1.02365404154048 & 0.00875052443552469 \tabularnewline
0.58 & 1.02557900827228 & 0.00927471077020325 \tabularnewline
0.59 & 1.02763771905622 & 0.00991358686453691 \tabularnewline
0.6 & 1.02985553684277 & 0.0106724880864690 \tabularnewline
0.61 & 1.03225701204436 & 0.0115434344307004 \tabularnewline
0.62 & 1.03486277883646 & 0.0124969811141933 \tabularnewline
0.63 & 1.03768616824125 & 0.0134869563365622 \tabularnewline
0.64 & 1.04073032524469 & 0.0144547911294094 \tabularnewline
0.65 & 1.04398678071767 & 0.0153355898851596 \tabularnewline
0.66 & 1.04743633794738 & 0.0160744663071419 \tabularnewline
0.67 & 1.05105270353393 & 0.0166379997522979 \tabularnewline
0.68 & 1.05480854125017 & 0.0170329317631228 \tabularnewline
0.69 & 1.05868271052798 & 0.0173053070970236 \tabularnewline
0.7 & 1.06266665043695 & 0.0175323477807509 \tabularnewline
0.71 & 1.06676752781755 & 0.0178094899892828 \tabularnewline
0.72 & 1.07100617417947 & 0.0182144899094995 \tabularnewline
0.73 & 1.07540909297391 & 0.0187705386014504 \tabularnewline
0.74 & 1.07999573364431 & 0.0194231060236694 \tabularnewline
0.75 & 1.08476428229343 & 0.0200440441530192 \tabularnewline
0.76 & 1.08968066635373 & 0.0204578946970279 \tabularnewline
0.77 & 1.09467558992262 & 0.0204933861730735 \tabularnewline
0.78 & 1.09965284783854 & 0.0200378001524191 \tabularnewline
0.79 & 1.10450920269531 & 0.0190842700272662 \tabularnewline
0.8 & 1.10916273085451 & 0.0177523535585553 \tabularnewline
0.81 & 1.11358405555022 & 0.0162881262891097 \tabularnewline
0.82 & 1.11782421056530 & 0.0150409099785850 \tabularnewline
0.83 & 1.12203388312608 & 0.0144219105040328 \tabularnewline
0.84 & 1.12647020261227 & 0.0148413488372727 \tabularnewline
0.85 & 1.13148758404323 & 0.0166025658499069 \tabularnewline
0.86 & 1.13750828721517 & 0.0197869624900298 \tabularnewline
0.87 & 1.1449686216897 & 0.0242126378412398 \tabularnewline
0.88 & 1.15424181430365 & 0.0294129690240902 \tabularnewline
0.89 & 1.16555017258895 & 0.034669718102423 \tabularnewline
0.9 & 1.17889369874086 & 0.0391347778894835 \tabularnewline
0.91 & 1.19403129202794 & 0.0420483143950591 \tabularnewline
0.92 & 1.21054607947882 & 0.0429940892004905 \tabularnewline
0.93 & 1.22800522323412 & 0.0420952273585527 \tabularnewline
0.94 & 1.24618689943841 & 0.0400789992497995 \tabularnewline
0.95 & 1.26529030615666 & 0.0381122963750801 \tabularnewline
0.96 & 1.28596220391149 & 0.0372020123639488 \tabularnewline
0.97 & 1.30887609752710 & 0.0370365071502592 \tabularnewline
0.98 & 1.33356360309439 & 0.0347078840779730 \tabularnewline
0.99 & 1.35645972002886 & 0.0269264550408231 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16503&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]0.83385055483493[/C][C]0.00706017778645233[/C][/ROW]
[ROW][C]0.02[/C][C]0.838854659937103[/C][C]0.00598199841218706[/C][/ROW]
[ROW][C]0.03[/C][C]0.843658588761502[/C][C]0.0080592649137295[/C][/ROW]
[ROW][C]0.04[/C][C]0.848543603970003[/C][C]0.00987722322459334[/C][/ROW]
[ROW][C]0.05[/C][C]0.853484964138934[/C][C]0.0100275202403890[/C][/ROW]
[ROW][C]0.06[/C][C]0.85806446275282[/C][C]0.00901650042762278[/C][/ROW]
[ROW][C]0.07[/C][C]0.861986699741279[/C][C]0.00778080955465789[/C][/ROW]
[ROW][C]0.08[/C][C]0.865250160002372[/C][C]0.00690651321646426[/C][/ROW]
[ROW][C]0.09[/C][C]0.868047660147048[/C][C]0.00663514369876295[/C][/ROW]
[ROW][C]0.1[/C][C]0.870639750160372[/C][C]0.00707835551417889[/C][/ROW]
[ROW][C]0.11[/C][C]0.873285414261297[/C][C]0.00825180758266586[/C][/ROW]
[ROW][C]0.12[/C][C]0.876213467925498[/C][C]0.0100736448070896[/C][/ROW]
[ROW][C]0.13[/C][C]0.87960816289176[/C][C]0.0124125891508280[/C][/ROW]
[ROW][C]0.14[/C][C]0.883598305285347[/C][C]0.0151035192319099[/C][/ROW]
[ROW][C]0.15[/C][C]0.88824785767907[/C][C]0.0179272463909351[/C][/ROW]
[ROW][C]0.16[/C][C]0.893548535746984[/C][C]0.0206105691455651[/C][/ROW]
[ROW][C]0.17[/C][C]0.899417230545134[/C][C]0.0228530532624647[/C][/ROW]
[ROW][C]0.18[/C][C]0.905702863594066[/C][C]0.0243896829032384[/C][/ROW]
[ROW][C]0.19[/C][C]0.912205844934894[/C][C]0.0250549385003929[/C][/ROW]
[ROW][C]0.2[/C][C]0.91870857493925[/C][C]0.0248310018711787[/C][/ROW]
[ROW][C]0.21[/C][C]0.925010249709322[/C][C]0.0238509033550329[/C][/ROW]
[ROW][C]0.22[/C][C]0.93095679633636[/C][C]0.0223558723384418[/C][/ROW]
[ROW][C]0.23[/C][C]0.936458359241655[/C][C]0.0206390897323411[/C][/ROW]
[ROW][C]0.24[/C][C]0.941491289955199[/C][C]0.0189701756357052[/C][/ROW]
[ROW][C]0.25[/C][C]0.946086675861743[/C][C]0.0175478640867905[/C][/ROW]
[ROW][C]0.26[/C][C]0.950310916485972[/C][C]0.0164683402506019[/C][/ROW]
[ROW][C]0.27[/C][C]0.95424475936869[/C][C]0.0157356026462535[/C][/ROW]
[ROW][C]0.28[/C][C]0.957965884866692[/C][C]0.0152874168624684[/C][/ROW]
[ROW][C]0.29[/C][C]0.96153768209729[/C][C]0.0150326555611517[/C][/ROW]
[ROW][C]0.3[/C][C]0.965004445162994[/C][C]0.0148799824548854[/C][/ROW]
[ROW][C]0.31[/C][C]0.968391583509874[/C][C]0.0147548635280812[/C][/ROW]
[ROW][C]0.32[/C][C]0.97170879433565[/C][C]0.0146063313981703[/C][/ROW]
[ROW][C]0.33[/C][C]0.974954305483115[/C][C]0.0144016579363283[/C][/ROW]
[ROW][C]0.34[/C][C]0.978118907385177[/C][C]0.0141238365779325[/C][/ROW]
[ROW][C]0.35[/C][C]0.98118919995153[/C][C]0.0137624342742612[/C][/ROW]
[ROW][C]0.36[/C][C]0.984150033686581[/C][C]0.0133171967208976[/C][/ROW]
[ROW][C]0.37[/C][C]0.98698640521185[/C][C]0.0127887476410912[/C][/ROW]
[ROW][C]0.38[/C][C]0.989685081403775[/C][C]0.0121881626656941[/C][/ROW]
[ROW][C]0.39[/C][C]0.99223606993579[/C][C]0.0115330257755788[/C][/ROW]
[ROW][C]0.4[/C][C]0.99463386212481[/C][C]0.0108482947141348[/C][/ROW]
[ROW][C]0.41[/C][C]0.996878261636375[/C][C]0.0101639747448800[/C][/ROW]
[ROW][C]0.42[/C][C]0.998974630374725[/C][C]0.00950914453278426[/C][/ROW]
[ROW][C]0.43[/C][C]1.00093350567648[/C][C]0.00891274090907016[/C][/ROW]
[ROW][C]0.44[/C][C]1.00276969586101[/C][C]0.0083926254522928[/C][/ROW]
[ROW][C]0.45[/C][C]1.00450106669503[/C][C]0.00795943634342803[/C][/ROW]
[ROW][C]0.46[/C][C]1.00614725039736[/C][C]0.00762017941810152[/C][/ROW]
[ROW][C]0.47[/C][C]1.00772845468874[/C][C]0.00737535811177248[/C][/ROW]
[ROW][C]0.48[/C][C]1.00926446983650[/C][C]0.00722001737950987[/C][/ROW]
[ROW][C]0.49[/C][C]1.01077391460321[/C][C]0.00714900538393932[/C][/ROW]
[ROW][C]0.5[/C][C]1.0122737473882[/C][C]0.00715251552704898[/C][/ROW]
[ROW][C]0.51[/C][C]1.01377908220155[/C][C]0.00721804082360444[/C][/ROW]
[ROW][C]0.52[/C][C]1.01530335739094[/C][C]0.00733783925777263[/C][/ROW]
[ROW][C]0.53[/C][C]1.01685888098026[/C][C]0.00750588543554607[/C][/ROW]
[ROW][C]0.54[/C][C]1.01845771487285[/C][C]0.00772041063561194[/C][/ROW]
[ROW][C]0.55[/C][C]1.02011277749308[/C][C]0.00799075667483565[/C][/ROW]
[ROW][C]0.56[/C][C]1.02183896568847[/C][C]0.00832809491108358[/C][/ROW]
[ROW][C]0.57[/C][C]1.02365404154048[/C][C]0.00875052443552469[/C][/ROW]
[ROW][C]0.58[/C][C]1.02557900827228[/C][C]0.00927471077020325[/C][/ROW]
[ROW][C]0.59[/C][C]1.02763771905622[/C][C]0.00991358686453691[/C][/ROW]
[ROW][C]0.6[/C][C]1.02985553684277[/C][C]0.0106724880864690[/C][/ROW]
[ROW][C]0.61[/C][C]1.03225701204436[/C][C]0.0115434344307004[/C][/ROW]
[ROW][C]0.62[/C][C]1.03486277883646[/C][C]0.0124969811141933[/C][/ROW]
[ROW][C]0.63[/C][C]1.03768616824125[/C][C]0.0134869563365622[/C][/ROW]
[ROW][C]0.64[/C][C]1.04073032524469[/C][C]0.0144547911294094[/C][/ROW]
[ROW][C]0.65[/C][C]1.04398678071767[/C][C]0.0153355898851596[/C][/ROW]
[ROW][C]0.66[/C][C]1.04743633794738[/C][C]0.0160744663071419[/C][/ROW]
[ROW][C]0.67[/C][C]1.05105270353393[/C][C]0.0166379997522979[/C][/ROW]
[ROW][C]0.68[/C][C]1.05480854125017[/C][C]0.0170329317631228[/C][/ROW]
[ROW][C]0.69[/C][C]1.05868271052798[/C][C]0.0173053070970236[/C][/ROW]
[ROW][C]0.7[/C][C]1.06266665043695[/C][C]0.0175323477807509[/C][/ROW]
[ROW][C]0.71[/C][C]1.06676752781755[/C][C]0.0178094899892828[/C][/ROW]
[ROW][C]0.72[/C][C]1.07100617417947[/C][C]0.0182144899094995[/C][/ROW]
[ROW][C]0.73[/C][C]1.07540909297391[/C][C]0.0187705386014504[/C][/ROW]
[ROW][C]0.74[/C][C]1.07999573364431[/C][C]0.0194231060236694[/C][/ROW]
[ROW][C]0.75[/C][C]1.08476428229343[/C][C]0.0200440441530192[/C][/ROW]
[ROW][C]0.76[/C][C]1.08968066635373[/C][C]0.0204578946970279[/C][/ROW]
[ROW][C]0.77[/C][C]1.09467558992262[/C][C]0.0204933861730735[/C][/ROW]
[ROW][C]0.78[/C][C]1.09965284783854[/C][C]0.0200378001524191[/C][/ROW]
[ROW][C]0.79[/C][C]1.10450920269531[/C][C]0.0190842700272662[/C][/ROW]
[ROW][C]0.8[/C][C]1.10916273085451[/C][C]0.0177523535585553[/C][/ROW]
[ROW][C]0.81[/C][C]1.11358405555022[/C][C]0.0162881262891097[/C][/ROW]
[ROW][C]0.82[/C][C]1.11782421056530[/C][C]0.0150409099785850[/C][/ROW]
[ROW][C]0.83[/C][C]1.12203388312608[/C][C]0.0144219105040328[/C][/ROW]
[ROW][C]0.84[/C][C]1.12647020261227[/C][C]0.0148413488372727[/C][/ROW]
[ROW][C]0.85[/C][C]1.13148758404323[/C][C]0.0166025658499069[/C][/ROW]
[ROW][C]0.86[/C][C]1.13750828721517[/C][C]0.0197869624900298[/C][/ROW]
[ROW][C]0.87[/C][C]1.1449686216897[/C][C]0.0242126378412398[/C][/ROW]
[ROW][C]0.88[/C][C]1.15424181430365[/C][C]0.0294129690240902[/C][/ROW]
[ROW][C]0.89[/C][C]1.16555017258895[/C][C]0.034669718102423[/C][/ROW]
[ROW][C]0.9[/C][C]1.17889369874086[/C][C]0.0391347778894835[/C][/ROW]
[ROW][C]0.91[/C][C]1.19403129202794[/C][C]0.0420483143950591[/C][/ROW]
[ROW][C]0.92[/C][C]1.21054607947882[/C][C]0.0429940892004905[/C][/ROW]
[ROW][C]0.93[/C][C]1.22800522323412[/C][C]0.0420952273585527[/C][/ROW]
[ROW][C]0.94[/C][C]1.24618689943841[/C][C]0.0400789992497995[/C][/ROW]
[ROW][C]0.95[/C][C]1.26529030615666[/C][C]0.0381122963750801[/C][/ROW]
[ROW][C]0.96[/C][C]1.28596220391149[/C][C]0.0372020123639488[/C][/ROW]
[ROW][C]0.97[/C][C]1.30887609752710[/C][C]0.0370365071502592[/C][/ROW]
[ROW][C]0.98[/C][C]1.33356360309439[/C][C]0.0347078840779730[/C][/ROW]
[ROW][C]0.99[/C][C]1.35645972002886[/C][C]0.0269264550408231[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16503&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16503&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
0.010.833850554834930.00706017778645233
0.020.8388546599371030.00598199841218706
0.030.8436585887615020.0080592649137295
0.040.8485436039700030.00987722322459334
0.050.8534849641389340.0100275202403890
0.060.858064462752820.00901650042762278
0.070.8619866997412790.00778080955465789
0.080.8652501600023720.00690651321646426
0.090.8680476601470480.00663514369876295
0.10.8706397501603720.00707835551417889
0.110.8732854142612970.00825180758266586
0.120.8762134679254980.0100736448070896
0.130.879608162891760.0124125891508280
0.140.8835983052853470.0151035192319099
0.150.888247857679070.0179272463909351
0.160.8935485357469840.0206105691455651
0.170.8994172305451340.0228530532624647
0.180.9057028635940660.0243896829032384
0.190.9122058449348940.0250549385003929
0.20.918708574939250.0248310018711787
0.210.9250102497093220.0238509033550329
0.220.930956796336360.0223558723384418
0.230.9364583592416550.0206390897323411
0.240.9414912899551990.0189701756357052
0.250.9460866758617430.0175478640867905
0.260.9503109164859720.0164683402506019
0.270.954244759368690.0157356026462535
0.280.9579658848666920.0152874168624684
0.290.961537682097290.0150326555611517
0.30.9650044451629940.0148799824548854
0.310.9683915835098740.0147548635280812
0.320.971708794335650.0146063313981703
0.330.9749543054831150.0144016579363283
0.340.9781189073851770.0141238365779325
0.350.981189199951530.0137624342742612
0.360.9841500336865810.0133171967208976
0.370.986986405211850.0127887476410912
0.380.9896850814037750.0121881626656941
0.390.992236069935790.0115330257755788
0.40.994633862124810.0108482947141348
0.410.9968782616363750.0101639747448800
0.420.9989746303747250.00950914453278426
0.431.000933505676480.00891274090907016
0.441.002769695861010.0083926254522928
0.451.004501066695030.00795943634342803
0.461.006147250397360.00762017941810152
0.471.007728454688740.00737535811177248
0.481.009264469836500.00722001737950987
0.491.010773914603210.00714900538393932
0.51.01227374738820.00715251552704898
0.511.013779082201550.00721804082360444
0.521.015303357390940.00733783925777263
0.531.016858880980260.00750588543554607
0.541.018457714872850.00772041063561194
0.551.020112777493080.00799075667483565
0.561.021838965688470.00832809491108358
0.571.023654041540480.00875052443552469
0.581.025579008272280.00927471077020325
0.591.027637719056220.00991358686453691
0.61.029855536842770.0106724880864690
0.611.032257012044360.0115434344307004
0.621.034862778836460.0124969811141933
0.631.037686168241250.0134869563365622
0.641.040730325244690.0144547911294094
0.651.043986780717670.0153355898851596
0.661.047436337947380.0160744663071419
0.671.051052703533930.0166379997522979
0.681.054808541250170.0170329317631228
0.691.058682710527980.0173053070970236
0.71.062666650436950.0175323477807509
0.711.066767527817550.0178094899892828
0.721.071006174179470.0182144899094995
0.731.075409092973910.0187705386014504
0.741.079995733644310.0194231060236694
0.751.084764282293430.0200440441530192
0.761.089680666353730.0204578946970279
0.771.094675589922620.0204933861730735
0.781.099652847838540.0200378001524191
0.791.104509202695310.0190842700272662
0.81.109162730854510.0177523535585553
0.811.113584055550220.0162881262891097
0.821.117824210565300.0150409099785850
0.831.122033883126080.0144219105040328
0.841.126470202612270.0148413488372727
0.851.131487584043230.0166025658499069
0.861.137508287215170.0197869624900298
0.871.14496862168970.0242126378412398
0.881.154241814303650.0294129690240902
0.891.165550172588950.034669718102423
0.91.178893698740860.0391347778894835
0.911.194031292027940.0420483143950591
0.921.210546079478820.0429940892004905
0.931.228005223234120.0420952273585527
0.941.246186899438410.0400789992497995
0.951.265290306156660.0381122963750801
0.961.285962203911490.0372020123639488
0.971.308876097527100.0370365071502592
0.981.333563603094390.0347078840779730
0.991.356459720028860.0269264550408231


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')