Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 03 Oct 2013 07:33:38 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/03/t1380800028t638sxlg1cmxj68.htm/, Retrieved Thu, 02 May 2024 13:16:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212839, Retrieved Thu, 02 May 2024 13:16:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-10-03 11:33:38] [f0ec65ab0c213345bf099e498b60e56c] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.93
2.02
1.85
1.77
1.81
1.67
1.55
1.62
1.79
1.73
1.77
1.95
2.08
2.26
2.02
1.9
1.97
1.76
1.93
1.91
1.96
1.99
1.98
1.96
1.95
2.26
2.07
2.02
2.07
1.88
1.75
1.78
1.87
1.94
2.03
2.13
2.04
2.18
2.02
1.99
2.09
1.88
1.8
1.77
1.85
1.9
2.03
2.02
2.09
2.3
2.16
2.02
2.31
1.98
1.74
1.82
2.07
2.04
2.07
2.13
2.14
2.43
2.26
2.11
2.19
2.04
2.04
2.05
2.08
1.98
2.07
2.12
2.15
2.35
2.19
2.17
2.3
2.09
1.95
1.89
1.95
1.98
1.95
2.06




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212839&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212839&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212839&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.57834323330710.0640896622805446
0.021.619993894206530.0604426949238545
0.031.659717281212510.0558356441966486
0.041.691831519668660.0475126607915758
0.051.715994572732820.0374922555189386
0.061.733547295150360.028703916736989
0.071.74623226292570.0225956646351781
0.081.755705862925920.0191865413953036
0.091.763304496244250.0179693820859685
0.11.770001366893530.0184725425733577
0.111.776467664315030.0202893337894734
0.121.783146706831770.0229919564536275
0.131.790303792469150.0261360455308196
0.141.798056475280790.0293046555003693
0.151.80640007126360.0321466099151753
0.161.815236644726670.034403578171113
0.171.824407895124380.0359174247199542
0.181.833728595045760.0366420631986333
0.191.843016664274180.0366405261031107
0.21.85211665624460.0360548914714315
0.211.860914459513950.0350778287369151
0.221.869342304692910.033912122357127
0.231.877374736232970.0327235030485716
0.241.885017792070830.0316151198566091
0.251.892294775303140.030619388905244
0.261.899232331350990.0296987013997258
0.271.905849973034160.0287781281958232
0.281.912154934278180.0277788173616304
0.291.918142676161350.0266424282870384
0.31.923801944943530.0253556879038002
0.311.929122325621740.0239500151082688
0.321.934101916522410.0225002908131536
0.331.938753059266830.0211100909780206
0.341.94310482986990.0198819690549656
0.351.947201972484570.0189082833735726
0.361.951100859824070.0182461170673016
0.371.954863670058080.0179115626562749
0.381.95855216407260.0178811952913251
0.391.962222244917830.0181002384130777
0.41.965920012134410.0185059539691699
0.411.969679479855670.0190298682298742
0.421.973521697241650.0196100052833154
0.431.977454814218150.0201871968300272
0.441.981474693156580.0207050990877726
0.451.985565896568030.0211109964910718
0.461.989703140570720.0213527323906628
0.471.993853453195870.021391028030668
0.481.997979233453570.021199374055278
0.492.002042179416550.0207803353698135
0.52.006007732471910.0201664126860224
0.512.009849403514970.0194066260254864
0.522.013552223708690.0185812826549701
0.532.017114653479950.0177731682783049
0.542.020548563174710.0170600671463263
0.552.023877276546610.0165103942926763
0.562.027132029875690.0161552204984184
0.572.030347454049890.0160029836950273
0.582.03355679658440.0160273657605624
0.592.03678758205280.0161844072196866
0.62.040058309907660.0164114159324047
0.612.043376651760260.0166428699700352
0.622.046739451906420.0168156307206871
0.632.050134642877760.0168828364767467
0.642.053544942912430.0168226863773181
0.652.056952908353590.0166402652158294
0.662.060346616394820.0163725233025916
0.672.063725032257850.0160869812605723
0.682.067102053463060.01588009471217
0.692.070508370478480.0158392155449561
0.72.07399062505960.0160517610896112
0.712.077607815031110.0165747461480053
0.722.081425389348580.0174155569077436
0.732.085507910860960.0185390492270863
0.742.089911475668930.0198708754011393
0.752.094677229128450.0213126120446348
0.762.099827274959960.0227519887542041
0.772.105364002610970.0240826734024361
0.782.111273359782840.0252299405724242
0.792.117531955413760.026153843356099
0.82.12411726794610.0268755849958233
0.812.131019828323940.0274584385465427
0.822.138256037149040.028017613850869
0.832.145879926158270.0287021245978565
0.842.153991159099610.0296827098766404
0.852.162734735671220.031129001534184
0.862.172286240026860.0331503641541188
0.872.182817527307650.0356932586501214
0.882.194444077256450.0384608873717365
0.892.20716664802850.0408974435490761
0.92.220830886020960.0423340187727558
0.912.235130892660120.0422354982388178
0.922.249674218862930.0404338543802919
0.932.264118370182170.0372238859222718
0.942.278400935364180.0333353418870694
0.952.293111026438390.030072078144739
0.962.310011415506840.0297471625486196
0.972.332368026661270.0351789829442516
0.982.36358841831270.0475204344896508
0.992.401386583753320.0648617382402924

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.5783432333071 & 0.0640896622805446 \tabularnewline
0.02 & 1.61999389420653 & 0.0604426949238545 \tabularnewline
0.03 & 1.65971728121251 & 0.0558356441966486 \tabularnewline
0.04 & 1.69183151966866 & 0.0475126607915758 \tabularnewline
0.05 & 1.71599457273282 & 0.0374922555189386 \tabularnewline
0.06 & 1.73354729515036 & 0.028703916736989 \tabularnewline
0.07 & 1.7462322629257 & 0.0225956646351781 \tabularnewline
0.08 & 1.75570586292592 & 0.0191865413953036 \tabularnewline
0.09 & 1.76330449624425 & 0.0179693820859685 \tabularnewline
0.1 & 1.77000136689353 & 0.0184725425733577 \tabularnewline
0.11 & 1.77646766431503 & 0.0202893337894734 \tabularnewline
0.12 & 1.78314670683177 & 0.0229919564536275 \tabularnewline
0.13 & 1.79030379246915 & 0.0261360455308196 \tabularnewline
0.14 & 1.79805647528079 & 0.0293046555003693 \tabularnewline
0.15 & 1.8064000712636 & 0.0321466099151753 \tabularnewline
0.16 & 1.81523664472667 & 0.034403578171113 \tabularnewline
0.17 & 1.82440789512438 & 0.0359174247199542 \tabularnewline
0.18 & 1.83372859504576 & 0.0366420631986333 \tabularnewline
0.19 & 1.84301666427418 & 0.0366405261031107 \tabularnewline
0.2 & 1.8521166562446 & 0.0360548914714315 \tabularnewline
0.21 & 1.86091445951395 & 0.0350778287369151 \tabularnewline
0.22 & 1.86934230469291 & 0.033912122357127 \tabularnewline
0.23 & 1.87737473623297 & 0.0327235030485716 \tabularnewline
0.24 & 1.88501779207083 & 0.0316151198566091 \tabularnewline
0.25 & 1.89229477530314 & 0.030619388905244 \tabularnewline
0.26 & 1.89923233135099 & 0.0296987013997258 \tabularnewline
0.27 & 1.90584997303416 & 0.0287781281958232 \tabularnewline
0.28 & 1.91215493427818 & 0.0277788173616304 \tabularnewline
0.29 & 1.91814267616135 & 0.0266424282870384 \tabularnewline
0.3 & 1.92380194494353 & 0.0253556879038002 \tabularnewline
0.31 & 1.92912232562174 & 0.0239500151082688 \tabularnewline
0.32 & 1.93410191652241 & 0.0225002908131536 \tabularnewline
0.33 & 1.93875305926683 & 0.0211100909780206 \tabularnewline
0.34 & 1.9431048298699 & 0.0198819690549656 \tabularnewline
0.35 & 1.94720197248457 & 0.0189082833735726 \tabularnewline
0.36 & 1.95110085982407 & 0.0182461170673016 \tabularnewline
0.37 & 1.95486367005808 & 0.0179115626562749 \tabularnewline
0.38 & 1.9585521640726 & 0.0178811952913251 \tabularnewline
0.39 & 1.96222224491783 & 0.0181002384130777 \tabularnewline
0.4 & 1.96592001213441 & 0.0185059539691699 \tabularnewline
0.41 & 1.96967947985567 & 0.0190298682298742 \tabularnewline
0.42 & 1.97352169724165 & 0.0196100052833154 \tabularnewline
0.43 & 1.97745481421815 & 0.0201871968300272 \tabularnewline
0.44 & 1.98147469315658 & 0.0207050990877726 \tabularnewline
0.45 & 1.98556589656803 & 0.0211109964910718 \tabularnewline
0.46 & 1.98970314057072 & 0.0213527323906628 \tabularnewline
0.47 & 1.99385345319587 & 0.021391028030668 \tabularnewline
0.48 & 1.99797923345357 & 0.021199374055278 \tabularnewline
0.49 & 2.00204217941655 & 0.0207803353698135 \tabularnewline
0.5 & 2.00600773247191 & 0.0201664126860224 \tabularnewline
0.51 & 2.00984940351497 & 0.0194066260254864 \tabularnewline
0.52 & 2.01355222370869 & 0.0185812826549701 \tabularnewline
0.53 & 2.01711465347995 & 0.0177731682783049 \tabularnewline
0.54 & 2.02054856317471 & 0.0170600671463263 \tabularnewline
0.55 & 2.02387727654661 & 0.0165103942926763 \tabularnewline
0.56 & 2.02713202987569 & 0.0161552204984184 \tabularnewline
0.57 & 2.03034745404989 & 0.0160029836950273 \tabularnewline
0.58 & 2.0335567965844 & 0.0160273657605624 \tabularnewline
0.59 & 2.0367875820528 & 0.0161844072196866 \tabularnewline
0.6 & 2.04005830990766 & 0.0164114159324047 \tabularnewline
0.61 & 2.04337665176026 & 0.0166428699700352 \tabularnewline
0.62 & 2.04673945190642 & 0.0168156307206871 \tabularnewline
0.63 & 2.05013464287776 & 0.0168828364767467 \tabularnewline
0.64 & 2.05354494291243 & 0.0168226863773181 \tabularnewline
0.65 & 2.05695290835359 & 0.0166402652158294 \tabularnewline
0.66 & 2.06034661639482 & 0.0163725233025916 \tabularnewline
0.67 & 2.06372503225785 & 0.0160869812605723 \tabularnewline
0.68 & 2.06710205346306 & 0.01588009471217 \tabularnewline
0.69 & 2.07050837047848 & 0.0158392155449561 \tabularnewline
0.7 & 2.0739906250596 & 0.0160517610896112 \tabularnewline
0.71 & 2.07760781503111 & 0.0165747461480053 \tabularnewline
0.72 & 2.08142538934858 & 0.0174155569077436 \tabularnewline
0.73 & 2.08550791086096 & 0.0185390492270863 \tabularnewline
0.74 & 2.08991147566893 & 0.0198708754011393 \tabularnewline
0.75 & 2.09467722912845 & 0.0213126120446348 \tabularnewline
0.76 & 2.09982727495996 & 0.0227519887542041 \tabularnewline
0.77 & 2.10536400261097 & 0.0240826734024361 \tabularnewline
0.78 & 2.11127335978284 & 0.0252299405724242 \tabularnewline
0.79 & 2.11753195541376 & 0.026153843356099 \tabularnewline
0.8 & 2.1241172679461 & 0.0268755849958233 \tabularnewline
0.81 & 2.13101982832394 & 0.0274584385465427 \tabularnewline
0.82 & 2.13825603714904 & 0.028017613850869 \tabularnewline
0.83 & 2.14587992615827 & 0.0287021245978565 \tabularnewline
0.84 & 2.15399115909961 & 0.0296827098766404 \tabularnewline
0.85 & 2.16273473567122 & 0.031129001534184 \tabularnewline
0.86 & 2.17228624002686 & 0.0331503641541188 \tabularnewline
0.87 & 2.18281752730765 & 0.0356932586501214 \tabularnewline
0.88 & 2.19444407725645 & 0.0384608873717365 \tabularnewline
0.89 & 2.2071666480285 & 0.0408974435490761 \tabularnewline
0.9 & 2.22083088602096 & 0.0423340187727558 \tabularnewline
0.91 & 2.23513089266012 & 0.0422354982388178 \tabularnewline
0.92 & 2.24967421886293 & 0.0404338543802919 \tabularnewline
0.93 & 2.26411837018217 & 0.0372238859222718 \tabularnewline
0.94 & 2.27840093536418 & 0.0333353418870694 \tabularnewline
0.95 & 2.29311102643839 & 0.030072078144739 \tabularnewline
0.96 & 2.31001141550684 & 0.0297471625486196 \tabularnewline
0.97 & 2.33236802666127 & 0.0351789829442516 \tabularnewline
0.98 & 2.3635884183127 & 0.0475204344896508 \tabularnewline
0.99 & 2.40138658375332 & 0.0648617382402924 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212839&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]1.5783432333071[/C][C]0.0640896622805446[/C][/ROW]
[ROW][C]0.02[/C][C]1.61999389420653[/C][C]0.0604426949238545[/C][/ROW]
[ROW][C]0.03[/C][C]1.65971728121251[/C][C]0.0558356441966486[/C][/ROW]
[ROW][C]0.04[/C][C]1.69183151966866[/C][C]0.0475126607915758[/C][/ROW]
[ROW][C]0.05[/C][C]1.71599457273282[/C][C]0.0374922555189386[/C][/ROW]
[ROW][C]0.06[/C][C]1.73354729515036[/C][C]0.028703916736989[/C][/ROW]
[ROW][C]0.07[/C][C]1.7462322629257[/C][C]0.0225956646351781[/C][/ROW]
[ROW][C]0.08[/C][C]1.75570586292592[/C][C]0.0191865413953036[/C][/ROW]
[ROW][C]0.09[/C][C]1.76330449624425[/C][C]0.0179693820859685[/C][/ROW]
[ROW][C]0.1[/C][C]1.77000136689353[/C][C]0.0184725425733577[/C][/ROW]
[ROW][C]0.11[/C][C]1.77646766431503[/C][C]0.0202893337894734[/C][/ROW]
[ROW][C]0.12[/C][C]1.78314670683177[/C][C]0.0229919564536275[/C][/ROW]
[ROW][C]0.13[/C][C]1.79030379246915[/C][C]0.0261360455308196[/C][/ROW]
[ROW][C]0.14[/C][C]1.79805647528079[/C][C]0.0293046555003693[/C][/ROW]
[ROW][C]0.15[/C][C]1.8064000712636[/C][C]0.0321466099151753[/C][/ROW]
[ROW][C]0.16[/C][C]1.81523664472667[/C][C]0.034403578171113[/C][/ROW]
[ROW][C]0.17[/C][C]1.82440789512438[/C][C]0.0359174247199542[/C][/ROW]
[ROW][C]0.18[/C][C]1.83372859504576[/C][C]0.0366420631986333[/C][/ROW]
[ROW][C]0.19[/C][C]1.84301666427418[/C][C]0.0366405261031107[/C][/ROW]
[ROW][C]0.2[/C][C]1.8521166562446[/C][C]0.0360548914714315[/C][/ROW]
[ROW][C]0.21[/C][C]1.86091445951395[/C][C]0.0350778287369151[/C][/ROW]
[ROW][C]0.22[/C][C]1.86934230469291[/C][C]0.033912122357127[/C][/ROW]
[ROW][C]0.23[/C][C]1.87737473623297[/C][C]0.0327235030485716[/C][/ROW]
[ROW][C]0.24[/C][C]1.88501779207083[/C][C]0.0316151198566091[/C][/ROW]
[ROW][C]0.25[/C][C]1.89229477530314[/C][C]0.030619388905244[/C][/ROW]
[ROW][C]0.26[/C][C]1.89923233135099[/C][C]0.0296987013997258[/C][/ROW]
[ROW][C]0.27[/C][C]1.90584997303416[/C][C]0.0287781281958232[/C][/ROW]
[ROW][C]0.28[/C][C]1.91215493427818[/C][C]0.0277788173616304[/C][/ROW]
[ROW][C]0.29[/C][C]1.91814267616135[/C][C]0.0266424282870384[/C][/ROW]
[ROW][C]0.3[/C][C]1.92380194494353[/C][C]0.0253556879038002[/C][/ROW]
[ROW][C]0.31[/C][C]1.92912232562174[/C][C]0.0239500151082688[/C][/ROW]
[ROW][C]0.32[/C][C]1.93410191652241[/C][C]0.0225002908131536[/C][/ROW]
[ROW][C]0.33[/C][C]1.93875305926683[/C][C]0.0211100909780206[/C][/ROW]
[ROW][C]0.34[/C][C]1.9431048298699[/C][C]0.0198819690549656[/C][/ROW]
[ROW][C]0.35[/C][C]1.94720197248457[/C][C]0.0189082833735726[/C][/ROW]
[ROW][C]0.36[/C][C]1.95110085982407[/C][C]0.0182461170673016[/C][/ROW]
[ROW][C]0.37[/C][C]1.95486367005808[/C][C]0.0179115626562749[/C][/ROW]
[ROW][C]0.38[/C][C]1.9585521640726[/C][C]0.0178811952913251[/C][/ROW]
[ROW][C]0.39[/C][C]1.96222224491783[/C][C]0.0181002384130777[/C][/ROW]
[ROW][C]0.4[/C][C]1.96592001213441[/C][C]0.0185059539691699[/C][/ROW]
[ROW][C]0.41[/C][C]1.96967947985567[/C][C]0.0190298682298742[/C][/ROW]
[ROW][C]0.42[/C][C]1.97352169724165[/C][C]0.0196100052833154[/C][/ROW]
[ROW][C]0.43[/C][C]1.97745481421815[/C][C]0.0201871968300272[/C][/ROW]
[ROW][C]0.44[/C][C]1.98147469315658[/C][C]0.0207050990877726[/C][/ROW]
[ROW][C]0.45[/C][C]1.98556589656803[/C][C]0.0211109964910718[/C][/ROW]
[ROW][C]0.46[/C][C]1.98970314057072[/C][C]0.0213527323906628[/C][/ROW]
[ROW][C]0.47[/C][C]1.99385345319587[/C][C]0.021391028030668[/C][/ROW]
[ROW][C]0.48[/C][C]1.99797923345357[/C][C]0.021199374055278[/C][/ROW]
[ROW][C]0.49[/C][C]2.00204217941655[/C][C]0.0207803353698135[/C][/ROW]
[ROW][C]0.5[/C][C]2.00600773247191[/C][C]0.0201664126860224[/C][/ROW]
[ROW][C]0.51[/C][C]2.00984940351497[/C][C]0.0194066260254864[/C][/ROW]
[ROW][C]0.52[/C][C]2.01355222370869[/C][C]0.0185812826549701[/C][/ROW]
[ROW][C]0.53[/C][C]2.01711465347995[/C][C]0.0177731682783049[/C][/ROW]
[ROW][C]0.54[/C][C]2.02054856317471[/C][C]0.0170600671463263[/C][/ROW]
[ROW][C]0.55[/C][C]2.02387727654661[/C][C]0.0165103942926763[/C][/ROW]
[ROW][C]0.56[/C][C]2.02713202987569[/C][C]0.0161552204984184[/C][/ROW]
[ROW][C]0.57[/C][C]2.03034745404989[/C][C]0.0160029836950273[/C][/ROW]
[ROW][C]0.58[/C][C]2.0335567965844[/C][C]0.0160273657605624[/C][/ROW]
[ROW][C]0.59[/C][C]2.0367875820528[/C][C]0.0161844072196866[/C][/ROW]
[ROW][C]0.6[/C][C]2.04005830990766[/C][C]0.0164114159324047[/C][/ROW]
[ROW][C]0.61[/C][C]2.04337665176026[/C][C]0.0166428699700352[/C][/ROW]
[ROW][C]0.62[/C][C]2.04673945190642[/C][C]0.0168156307206871[/C][/ROW]
[ROW][C]0.63[/C][C]2.05013464287776[/C][C]0.0168828364767467[/C][/ROW]
[ROW][C]0.64[/C][C]2.05354494291243[/C][C]0.0168226863773181[/C][/ROW]
[ROW][C]0.65[/C][C]2.05695290835359[/C][C]0.0166402652158294[/C][/ROW]
[ROW][C]0.66[/C][C]2.06034661639482[/C][C]0.0163725233025916[/C][/ROW]
[ROW][C]0.67[/C][C]2.06372503225785[/C][C]0.0160869812605723[/C][/ROW]
[ROW][C]0.68[/C][C]2.06710205346306[/C][C]0.01588009471217[/C][/ROW]
[ROW][C]0.69[/C][C]2.07050837047848[/C][C]0.0158392155449561[/C][/ROW]
[ROW][C]0.7[/C][C]2.0739906250596[/C][C]0.0160517610896112[/C][/ROW]
[ROW][C]0.71[/C][C]2.07760781503111[/C][C]0.0165747461480053[/C][/ROW]
[ROW][C]0.72[/C][C]2.08142538934858[/C][C]0.0174155569077436[/C][/ROW]
[ROW][C]0.73[/C][C]2.08550791086096[/C][C]0.0185390492270863[/C][/ROW]
[ROW][C]0.74[/C][C]2.08991147566893[/C][C]0.0198708754011393[/C][/ROW]
[ROW][C]0.75[/C][C]2.09467722912845[/C][C]0.0213126120446348[/C][/ROW]
[ROW][C]0.76[/C][C]2.09982727495996[/C][C]0.0227519887542041[/C][/ROW]
[ROW][C]0.77[/C][C]2.10536400261097[/C][C]0.0240826734024361[/C][/ROW]
[ROW][C]0.78[/C][C]2.11127335978284[/C][C]0.0252299405724242[/C][/ROW]
[ROW][C]0.79[/C][C]2.11753195541376[/C][C]0.026153843356099[/C][/ROW]
[ROW][C]0.8[/C][C]2.1241172679461[/C][C]0.0268755849958233[/C][/ROW]
[ROW][C]0.81[/C][C]2.13101982832394[/C][C]0.0274584385465427[/C][/ROW]
[ROW][C]0.82[/C][C]2.13825603714904[/C][C]0.028017613850869[/C][/ROW]
[ROW][C]0.83[/C][C]2.14587992615827[/C][C]0.0287021245978565[/C][/ROW]
[ROW][C]0.84[/C][C]2.15399115909961[/C][C]0.0296827098766404[/C][/ROW]
[ROW][C]0.85[/C][C]2.16273473567122[/C][C]0.031129001534184[/C][/ROW]
[ROW][C]0.86[/C][C]2.17228624002686[/C][C]0.0331503641541188[/C][/ROW]
[ROW][C]0.87[/C][C]2.18281752730765[/C][C]0.0356932586501214[/C][/ROW]
[ROW][C]0.88[/C][C]2.19444407725645[/C][C]0.0384608873717365[/C][/ROW]
[ROW][C]0.89[/C][C]2.2071666480285[/C][C]0.0408974435490761[/C][/ROW]
[ROW][C]0.9[/C][C]2.22083088602096[/C][C]0.0423340187727558[/C][/ROW]
[ROW][C]0.91[/C][C]2.23513089266012[/C][C]0.0422354982388178[/C][/ROW]
[ROW][C]0.92[/C][C]2.24967421886293[/C][C]0.0404338543802919[/C][/ROW]
[ROW][C]0.93[/C][C]2.26411837018217[/C][C]0.0372238859222718[/C][/ROW]
[ROW][C]0.94[/C][C]2.27840093536418[/C][C]0.0333353418870694[/C][/ROW]
[ROW][C]0.95[/C][C]2.29311102643839[/C][C]0.030072078144739[/C][/ROW]
[ROW][C]0.96[/C][C]2.31001141550684[/C][C]0.0297471625486196[/C][/ROW]
[ROW][C]0.97[/C][C]2.33236802666127[/C][C]0.0351789829442516[/C][/ROW]
[ROW][C]0.98[/C][C]2.3635884183127[/C][C]0.0475204344896508[/C][/ROW]
[ROW][C]0.99[/C][C]2.40138658375332[/C][C]0.0648617382402924[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212839&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212839&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.57834323330710.0640896622805446
0.021.619993894206530.0604426949238545
0.031.659717281212510.0558356441966486
0.041.691831519668660.0475126607915758
0.051.715994572732820.0374922555189386
0.061.733547295150360.028703916736989
0.071.74623226292570.0225956646351781
0.081.755705862925920.0191865413953036
0.091.763304496244250.0179693820859685
0.11.770001366893530.0184725425733577
0.111.776467664315030.0202893337894734
0.121.783146706831770.0229919564536275
0.131.790303792469150.0261360455308196
0.141.798056475280790.0293046555003693
0.151.80640007126360.0321466099151753
0.161.815236644726670.034403578171113
0.171.824407895124380.0359174247199542
0.181.833728595045760.0366420631986333
0.191.843016664274180.0366405261031107
0.21.85211665624460.0360548914714315
0.211.860914459513950.0350778287369151
0.221.869342304692910.033912122357127
0.231.877374736232970.0327235030485716
0.241.885017792070830.0316151198566091
0.251.892294775303140.030619388905244
0.261.899232331350990.0296987013997258
0.271.905849973034160.0287781281958232
0.281.912154934278180.0277788173616304
0.291.918142676161350.0266424282870384
0.31.923801944943530.0253556879038002
0.311.929122325621740.0239500151082688
0.321.934101916522410.0225002908131536
0.331.938753059266830.0211100909780206
0.341.94310482986990.0198819690549656
0.351.947201972484570.0189082833735726
0.361.951100859824070.0182461170673016
0.371.954863670058080.0179115626562749
0.381.95855216407260.0178811952913251
0.391.962222244917830.0181002384130777
0.41.965920012134410.0185059539691699
0.411.969679479855670.0190298682298742
0.421.973521697241650.0196100052833154
0.431.977454814218150.0201871968300272
0.441.981474693156580.0207050990877726
0.451.985565896568030.0211109964910718
0.461.989703140570720.0213527323906628
0.471.993853453195870.021391028030668
0.481.997979233453570.021199374055278
0.492.002042179416550.0207803353698135
0.52.006007732471910.0201664126860224
0.512.009849403514970.0194066260254864
0.522.013552223708690.0185812826549701
0.532.017114653479950.0177731682783049
0.542.020548563174710.0170600671463263
0.552.023877276546610.0165103942926763
0.562.027132029875690.0161552204984184
0.572.030347454049890.0160029836950273
0.582.03355679658440.0160273657605624
0.592.03678758205280.0161844072196866
0.62.040058309907660.0164114159324047
0.612.043376651760260.0166428699700352
0.622.046739451906420.0168156307206871
0.632.050134642877760.0168828364767467
0.642.053544942912430.0168226863773181
0.652.056952908353590.0166402652158294
0.662.060346616394820.0163725233025916
0.672.063725032257850.0160869812605723
0.682.067102053463060.01588009471217
0.692.070508370478480.0158392155449561
0.72.07399062505960.0160517610896112
0.712.077607815031110.0165747461480053
0.722.081425389348580.0174155569077436
0.732.085507910860960.0185390492270863
0.742.089911475668930.0198708754011393
0.752.094677229128450.0213126120446348
0.762.099827274959960.0227519887542041
0.772.105364002610970.0240826734024361
0.782.111273359782840.0252299405724242
0.792.117531955413760.026153843356099
0.82.12411726794610.0268755849958233
0.812.131019828323940.0274584385465427
0.822.138256037149040.028017613850869
0.832.145879926158270.0287021245978565
0.842.153991159099610.0296827098766404
0.852.162734735671220.031129001534184
0.862.172286240026860.0331503641541188
0.872.182817527307650.0356932586501214
0.882.194444077256450.0384608873717365
0.892.20716664802850.0408974435490761
0.92.220830886020960.0423340187727558
0.912.235130892660120.0422354982388178
0.922.249674218862930.0404338543802919
0.932.264118370182170.0372238859222718
0.942.278400935364180.0333353418870694
0.952.293111026438390.030072078144739
0.962.310011415506840.0297471625486196
0.972.332368026661270.0351789829442516
0.982.36358841831270.0475204344896508
0.992.401386583753320.0648617382402924



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')