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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, 05 Jun 2009 05:45:56 -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/Jun/05/t1244202388cxesqpfdaaiv2c4.htm/, Retrieved Fri, 10 May 2024 17:38:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=41801, Retrieved Fri, 10 May 2024 17:38:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Harrel-Davis Deci...] [2008-03-02 21:06:05] [f871de0e1311622afc57cb1f62aa3abf]
-   PD    [Harrell-Davis Quantiles] [opgave 4(4) denni...] [2009-06-05 11:45:56] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10.738
10.171
9.721
9.897
9.828
9.924
10.371
10.846
10.413
10.709
10.662
10.570
10.297
10.635
10.872
10.296
10.383
10.431
10.574
10.653
10.805
10.872
10.625
10.407
10.463
10.556
10.646
10.702
11.353
11.346
11.451
11.964
12.574
13.031
13.812
14.544
14.931
14.886
16.005
17.064
15.168
16.050
15.839
15.137
14.954
15.648
15.305
15.579
16.348
15.928
16.171
15.937
15.713
15.594
15.683
16.438
17.032
17.696
17.745
19.394
20.148
20.108
18.584
18.441
18.391
19.178
18.079
18.483
19.644
19.195
19.650
20.830

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=41801&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=41801&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41801&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
0.019.756179765394620.0987102287491857
0.029.8118865682580.102100417673678
0.039.875792493781780.123338417709573
0.049.943309294117570.151671154879482
0.0510.01312604221300.172848118563292
0.0610.0829769800340.17899532594232
0.0710.14934707732090.170055829627921
0.0810.20898091135210.151231617916165
0.0910.26008244758480.129118813096427
0.110.30255839945190.108987819255394
0.1110.33757276661710.0937629739018235
0.1210.36688855886130.0842662695789984
0.1310.39231917786830.079925635047895
0.1410.41539844090300.079442293584131
0.1510.43724443814500.0812568913099315
0.1610.45855047765150.0839042635405636
0.1710.47964548490370.0862617772559867
0.1810.50058736875190.0875998869001612
0.1910.52126782192760.0876306074289146
0.210.54151407763970.0864463417339709
0.2110.56117672455900.0844867682069355
0.2210.58019642579190.0824253343668599
0.2310.59864715359890.081081765782435
0.2410.61675833462270.0813484731948166
0.2510.63492175170640.084118342827341
0.2610.65369042677580.0903038037603969
0.2710.67377606808500.100771053704056
0.2810.69604957883680.116406532565136
0.2910.72154631675650.138125124058667
0.310.75147488642600.166904349798974
0.3110.78722567055390.203816512648731
0.3210.83037333697390.249962578883655
0.3310.88266638101930.306312373613069
0.3410.94599653418050.373635785535655
0.3511.02234174056200.452291904708386
0.3611.11367850439790.542085811692395
0.3711.22186280544860.642051841018053
0.3811.34848336934230.750292605314839
0.3911.49469651693890.863942451485647
0.411.66105742143320.979156254176615
0.4111.84736736807191.09128143237440
0.4212.05255933001831.19507448489361
0.4312.27464368945091.28515939712383
0.4412.51073148799871.35647000708392
0.4512.75714416219641.40481191617360
0.4613.00960722435331.42729925788633
0.4713.26351261141901.42270222697976
0.4813.51422286648511.39166175443714
0.4913.7573824212241.33657552326437
0.513.98919892154631.26139963989676
0.5114.20666157650551.17116534289574
0.5214.40767331120051.07145502598582
0.5314.59108715972960.967829914449881
0.5414.75665207355280.86535135847008
0.5514.90488619561050.768076878629027
0.5615.03690426275650.678991456009473
0.5715.15422885958500.599881200444016
0.5815.25861281122800.531436295836407
0.5915.35189332802220.473576928983595
0.615.43588960263910.425707390884646
0.6115.51234654563390.387034532608569
0.6215.58291992880280.356862170403329
0.6315.64919329498810.334654688065461
0.6415.71271464258650.320268615615633
0.6515.77504052253080.313822962722503
0.6615.83777596639700.315641644146899
0.6715.90259991895450.326185240580444
0.6815.97126731484230.345768372581416
0.6916.04558081420260.374430365472197
0.716.12732797451780.411712509452929
0.7116.21818372731180.456552800230863
0.7216.31958352648100.507186123437621
0.7316.43257895126000.561153173359494
0.7416.55769383779300.61533675822764
0.7516.69480380962280.666217936327846
0.7616.84306403899850.710163268733334
0.7717.00090820816590.743790870081029
0.7817.16613545035710.76436947403764
0.7917.33609143846710.770281741829191
0.817.50793494385650.761263022880873
0.8117.67896276685020.738700471151125
0.8217.84694586022750.705457936259214
0.8318.01041212091330.665741416468816
0.8418.16880428974850.62442579689206
0.8518.32245410436540.586181166110277
0.8618.47235315502990.554203376310889
0.8718.61976446790170.529207739285503
0.8818.7657898759140.509141882652507
0.8918.91105607242960.490172813054573
0.919.05567138181830.468614417241375
0.9119.19951257643470.442863198288627
0.9219.34274360516360.414345099843876
0.9319.48634769301960.386954579171884
0.9419.63258485636380.364484535959565
0.9519.78581688265780.347251857614826
0.9619.95442074181270.333945555169473
0.9720.15209646703050.337856543966587
0.9820.38954641245580.401663887717101
0.9920.64441800840050.54045628992641

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.75617976539462 & 0.0987102287491857 \tabularnewline
0.02 & 9.811886568258 & 0.102100417673678 \tabularnewline
0.03 & 9.87579249378178 & 0.123338417709573 \tabularnewline
0.04 & 9.94330929411757 & 0.151671154879482 \tabularnewline
0.05 & 10.0131260422130 & 0.172848118563292 \tabularnewline
0.06 & 10.082976980034 & 0.17899532594232 \tabularnewline
0.07 & 10.1493470773209 & 0.170055829627921 \tabularnewline
0.08 & 10.2089809113521 & 0.151231617916165 \tabularnewline
0.09 & 10.2600824475848 & 0.129118813096427 \tabularnewline
0.1 & 10.3025583994519 & 0.108987819255394 \tabularnewline
0.11 & 10.3375727666171 & 0.0937629739018235 \tabularnewline
0.12 & 10.3668885588613 & 0.0842662695789984 \tabularnewline
0.13 & 10.3923191778683 & 0.079925635047895 \tabularnewline
0.14 & 10.4153984409030 & 0.079442293584131 \tabularnewline
0.15 & 10.4372444381450 & 0.0812568913099315 \tabularnewline
0.16 & 10.4585504776515 & 0.0839042635405636 \tabularnewline
0.17 & 10.4796454849037 & 0.0862617772559867 \tabularnewline
0.18 & 10.5005873687519 & 0.0875998869001612 \tabularnewline
0.19 & 10.5212678219276 & 0.0876306074289146 \tabularnewline
0.2 & 10.5415140776397 & 0.0864463417339709 \tabularnewline
0.21 & 10.5611767245590 & 0.0844867682069355 \tabularnewline
0.22 & 10.5801964257919 & 0.0824253343668599 \tabularnewline
0.23 & 10.5986471535989 & 0.081081765782435 \tabularnewline
0.24 & 10.6167583346227 & 0.0813484731948166 \tabularnewline
0.25 & 10.6349217517064 & 0.084118342827341 \tabularnewline
0.26 & 10.6536904267758 & 0.0903038037603969 \tabularnewline
0.27 & 10.6737760680850 & 0.100771053704056 \tabularnewline
0.28 & 10.6960495788368 & 0.116406532565136 \tabularnewline
0.29 & 10.7215463167565 & 0.138125124058667 \tabularnewline
0.3 & 10.7514748864260 & 0.166904349798974 \tabularnewline
0.31 & 10.7872256705539 & 0.203816512648731 \tabularnewline
0.32 & 10.8303733369739 & 0.249962578883655 \tabularnewline
0.33 & 10.8826663810193 & 0.306312373613069 \tabularnewline
0.34 & 10.9459965341805 & 0.373635785535655 \tabularnewline
0.35 & 11.0223417405620 & 0.452291904708386 \tabularnewline
0.36 & 11.1136785043979 & 0.542085811692395 \tabularnewline
0.37 & 11.2218628054486 & 0.642051841018053 \tabularnewline
0.38 & 11.3484833693423 & 0.750292605314839 \tabularnewline
0.39 & 11.4946965169389 & 0.863942451485647 \tabularnewline
0.4 & 11.6610574214332 & 0.979156254176615 \tabularnewline
0.41 & 11.8473673680719 & 1.09128143237440 \tabularnewline
0.42 & 12.0525593300183 & 1.19507448489361 \tabularnewline
0.43 & 12.2746436894509 & 1.28515939712383 \tabularnewline
0.44 & 12.5107314879987 & 1.35647000708392 \tabularnewline
0.45 & 12.7571441621964 & 1.40481191617360 \tabularnewline
0.46 & 13.0096072243533 & 1.42729925788633 \tabularnewline
0.47 & 13.2635126114190 & 1.42270222697976 \tabularnewline
0.48 & 13.5142228664851 & 1.39166175443714 \tabularnewline
0.49 & 13.757382421224 & 1.33657552326437 \tabularnewline
0.5 & 13.9891989215463 & 1.26139963989676 \tabularnewline
0.51 & 14.2066615765055 & 1.17116534289574 \tabularnewline
0.52 & 14.4076733112005 & 1.07145502598582 \tabularnewline
0.53 & 14.5910871597296 & 0.967829914449881 \tabularnewline
0.54 & 14.7566520735528 & 0.86535135847008 \tabularnewline
0.55 & 14.9048861956105 & 0.768076878629027 \tabularnewline
0.56 & 15.0369042627565 & 0.678991456009473 \tabularnewline
0.57 & 15.1542288595850 & 0.599881200444016 \tabularnewline
0.58 & 15.2586128112280 & 0.531436295836407 \tabularnewline
0.59 & 15.3518933280222 & 0.473576928983595 \tabularnewline
0.6 & 15.4358896026391 & 0.425707390884646 \tabularnewline
0.61 & 15.5123465456339 & 0.387034532608569 \tabularnewline
0.62 & 15.5829199288028 & 0.356862170403329 \tabularnewline
0.63 & 15.6491932949881 & 0.334654688065461 \tabularnewline
0.64 & 15.7127146425865 & 0.320268615615633 \tabularnewline
0.65 & 15.7750405225308 & 0.313822962722503 \tabularnewline
0.66 & 15.8377759663970 & 0.315641644146899 \tabularnewline
0.67 & 15.9025999189545 & 0.326185240580444 \tabularnewline
0.68 & 15.9712673148423 & 0.345768372581416 \tabularnewline
0.69 & 16.0455808142026 & 0.374430365472197 \tabularnewline
0.7 & 16.1273279745178 & 0.411712509452929 \tabularnewline
0.71 & 16.2181837273118 & 0.456552800230863 \tabularnewline
0.72 & 16.3195835264810 & 0.507186123437621 \tabularnewline
0.73 & 16.4325789512600 & 0.561153173359494 \tabularnewline
0.74 & 16.5576938377930 & 0.61533675822764 \tabularnewline
0.75 & 16.6948038096228 & 0.666217936327846 \tabularnewline
0.76 & 16.8430640389985 & 0.710163268733334 \tabularnewline
0.77 & 17.0009082081659 & 0.743790870081029 \tabularnewline
0.78 & 17.1661354503571 & 0.76436947403764 \tabularnewline
0.79 & 17.3360914384671 & 0.770281741829191 \tabularnewline
0.8 & 17.5079349438565 & 0.761263022880873 \tabularnewline
0.81 & 17.6789627668502 & 0.738700471151125 \tabularnewline
0.82 & 17.8469458602275 & 0.705457936259214 \tabularnewline
0.83 & 18.0104121209133 & 0.665741416468816 \tabularnewline
0.84 & 18.1688042897485 & 0.62442579689206 \tabularnewline
0.85 & 18.3224541043654 & 0.586181166110277 \tabularnewline
0.86 & 18.4723531550299 & 0.554203376310889 \tabularnewline
0.87 & 18.6197644679017 & 0.529207739285503 \tabularnewline
0.88 & 18.765789875914 & 0.509141882652507 \tabularnewline
0.89 & 18.9110560724296 & 0.490172813054573 \tabularnewline
0.9 & 19.0556713818183 & 0.468614417241375 \tabularnewline
0.91 & 19.1995125764347 & 0.442863198288627 \tabularnewline
0.92 & 19.3427436051636 & 0.414345099843876 \tabularnewline
0.93 & 19.4863476930196 & 0.386954579171884 \tabularnewline
0.94 & 19.6325848563638 & 0.364484535959565 \tabularnewline
0.95 & 19.7858168826578 & 0.347251857614826 \tabularnewline
0.96 & 19.9544207418127 & 0.333945555169473 \tabularnewline
0.97 & 20.1520964670305 & 0.337856543966587 \tabularnewline
0.98 & 20.3895464124558 & 0.401663887717101 \tabularnewline
0.99 & 20.6444180084005 & 0.54045628992641 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=41801&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]9.75617976539462[/C][C]0.0987102287491857[/C][/ROW]
[ROW][C]0.02[/C][C]9.811886568258[/C][C]0.102100417673678[/C][/ROW]
[ROW][C]0.03[/C][C]9.87579249378178[/C][C]0.123338417709573[/C][/ROW]
[ROW][C]0.04[/C][C]9.94330929411757[/C][C]0.151671154879482[/C][/ROW]
[ROW][C]0.05[/C][C]10.0131260422130[/C][C]0.172848118563292[/C][/ROW]
[ROW][C]0.06[/C][C]10.082976980034[/C][C]0.17899532594232[/C][/ROW]
[ROW][C]0.07[/C][C]10.1493470773209[/C][C]0.170055829627921[/C][/ROW]
[ROW][C]0.08[/C][C]10.2089809113521[/C][C]0.151231617916165[/C][/ROW]
[ROW][C]0.09[/C][C]10.2600824475848[/C][C]0.129118813096427[/C][/ROW]
[ROW][C]0.1[/C][C]10.3025583994519[/C][C]0.108987819255394[/C][/ROW]
[ROW][C]0.11[/C][C]10.3375727666171[/C][C]0.0937629739018235[/C][/ROW]
[ROW][C]0.12[/C][C]10.3668885588613[/C][C]0.0842662695789984[/C][/ROW]
[ROW][C]0.13[/C][C]10.3923191778683[/C][C]0.079925635047895[/C][/ROW]
[ROW][C]0.14[/C][C]10.4153984409030[/C][C]0.079442293584131[/C][/ROW]
[ROW][C]0.15[/C][C]10.4372444381450[/C][C]0.0812568913099315[/C][/ROW]
[ROW][C]0.16[/C][C]10.4585504776515[/C][C]0.0839042635405636[/C][/ROW]
[ROW][C]0.17[/C][C]10.4796454849037[/C][C]0.0862617772559867[/C][/ROW]
[ROW][C]0.18[/C][C]10.5005873687519[/C][C]0.0875998869001612[/C][/ROW]
[ROW][C]0.19[/C][C]10.5212678219276[/C][C]0.0876306074289146[/C][/ROW]
[ROW][C]0.2[/C][C]10.5415140776397[/C][C]0.0864463417339709[/C][/ROW]
[ROW][C]0.21[/C][C]10.5611767245590[/C][C]0.0844867682069355[/C][/ROW]
[ROW][C]0.22[/C][C]10.5801964257919[/C][C]0.0824253343668599[/C][/ROW]
[ROW][C]0.23[/C][C]10.5986471535989[/C][C]0.081081765782435[/C][/ROW]
[ROW][C]0.24[/C][C]10.6167583346227[/C][C]0.0813484731948166[/C][/ROW]
[ROW][C]0.25[/C][C]10.6349217517064[/C][C]0.084118342827341[/C][/ROW]
[ROW][C]0.26[/C][C]10.6536904267758[/C][C]0.0903038037603969[/C][/ROW]
[ROW][C]0.27[/C][C]10.6737760680850[/C][C]0.100771053704056[/C][/ROW]
[ROW][C]0.28[/C][C]10.6960495788368[/C][C]0.116406532565136[/C][/ROW]
[ROW][C]0.29[/C][C]10.7215463167565[/C][C]0.138125124058667[/C][/ROW]
[ROW][C]0.3[/C][C]10.7514748864260[/C][C]0.166904349798974[/C][/ROW]
[ROW][C]0.31[/C][C]10.7872256705539[/C][C]0.203816512648731[/C][/ROW]
[ROW][C]0.32[/C][C]10.8303733369739[/C][C]0.249962578883655[/C][/ROW]
[ROW][C]0.33[/C][C]10.8826663810193[/C][C]0.306312373613069[/C][/ROW]
[ROW][C]0.34[/C][C]10.9459965341805[/C][C]0.373635785535655[/C][/ROW]
[ROW][C]0.35[/C][C]11.0223417405620[/C][C]0.452291904708386[/C][/ROW]
[ROW][C]0.36[/C][C]11.1136785043979[/C][C]0.542085811692395[/C][/ROW]
[ROW][C]0.37[/C][C]11.2218628054486[/C][C]0.642051841018053[/C][/ROW]
[ROW][C]0.38[/C][C]11.3484833693423[/C][C]0.750292605314839[/C][/ROW]
[ROW][C]0.39[/C][C]11.4946965169389[/C][C]0.863942451485647[/C][/ROW]
[ROW][C]0.4[/C][C]11.6610574214332[/C][C]0.979156254176615[/C][/ROW]
[ROW][C]0.41[/C][C]11.8473673680719[/C][C]1.09128143237440[/C][/ROW]
[ROW][C]0.42[/C][C]12.0525593300183[/C][C]1.19507448489361[/C][/ROW]
[ROW][C]0.43[/C][C]12.2746436894509[/C][C]1.28515939712383[/C][/ROW]
[ROW][C]0.44[/C][C]12.5107314879987[/C][C]1.35647000708392[/C][/ROW]
[ROW][C]0.45[/C][C]12.7571441621964[/C][C]1.40481191617360[/C][/ROW]
[ROW][C]0.46[/C][C]13.0096072243533[/C][C]1.42729925788633[/C][/ROW]
[ROW][C]0.47[/C][C]13.2635126114190[/C][C]1.42270222697976[/C][/ROW]
[ROW][C]0.48[/C][C]13.5142228664851[/C][C]1.39166175443714[/C][/ROW]
[ROW][C]0.49[/C][C]13.757382421224[/C][C]1.33657552326437[/C][/ROW]
[ROW][C]0.5[/C][C]13.9891989215463[/C][C]1.26139963989676[/C][/ROW]
[ROW][C]0.51[/C][C]14.2066615765055[/C][C]1.17116534289574[/C][/ROW]
[ROW][C]0.52[/C][C]14.4076733112005[/C][C]1.07145502598582[/C][/ROW]
[ROW][C]0.53[/C][C]14.5910871597296[/C][C]0.967829914449881[/C][/ROW]
[ROW][C]0.54[/C][C]14.7566520735528[/C][C]0.86535135847008[/C][/ROW]
[ROW][C]0.55[/C][C]14.9048861956105[/C][C]0.768076878629027[/C][/ROW]
[ROW][C]0.56[/C][C]15.0369042627565[/C][C]0.678991456009473[/C][/ROW]
[ROW][C]0.57[/C][C]15.1542288595850[/C][C]0.599881200444016[/C][/ROW]
[ROW][C]0.58[/C][C]15.2586128112280[/C][C]0.531436295836407[/C][/ROW]
[ROW][C]0.59[/C][C]15.3518933280222[/C][C]0.473576928983595[/C][/ROW]
[ROW][C]0.6[/C][C]15.4358896026391[/C][C]0.425707390884646[/C][/ROW]
[ROW][C]0.61[/C][C]15.5123465456339[/C][C]0.387034532608569[/C][/ROW]
[ROW][C]0.62[/C][C]15.5829199288028[/C][C]0.356862170403329[/C][/ROW]
[ROW][C]0.63[/C][C]15.6491932949881[/C][C]0.334654688065461[/C][/ROW]
[ROW][C]0.64[/C][C]15.7127146425865[/C][C]0.320268615615633[/C][/ROW]
[ROW][C]0.65[/C][C]15.7750405225308[/C][C]0.313822962722503[/C][/ROW]
[ROW][C]0.66[/C][C]15.8377759663970[/C][C]0.315641644146899[/C][/ROW]
[ROW][C]0.67[/C][C]15.9025999189545[/C][C]0.326185240580444[/C][/ROW]
[ROW][C]0.68[/C][C]15.9712673148423[/C][C]0.345768372581416[/C][/ROW]
[ROW][C]0.69[/C][C]16.0455808142026[/C][C]0.374430365472197[/C][/ROW]
[ROW][C]0.7[/C][C]16.1273279745178[/C][C]0.411712509452929[/C][/ROW]
[ROW][C]0.71[/C][C]16.2181837273118[/C][C]0.456552800230863[/C][/ROW]
[ROW][C]0.72[/C][C]16.3195835264810[/C][C]0.507186123437621[/C][/ROW]
[ROW][C]0.73[/C][C]16.4325789512600[/C][C]0.561153173359494[/C][/ROW]
[ROW][C]0.74[/C][C]16.5576938377930[/C][C]0.61533675822764[/C][/ROW]
[ROW][C]0.75[/C][C]16.6948038096228[/C][C]0.666217936327846[/C][/ROW]
[ROW][C]0.76[/C][C]16.8430640389985[/C][C]0.710163268733334[/C][/ROW]
[ROW][C]0.77[/C][C]17.0009082081659[/C][C]0.743790870081029[/C][/ROW]
[ROW][C]0.78[/C][C]17.1661354503571[/C][C]0.76436947403764[/C][/ROW]
[ROW][C]0.79[/C][C]17.3360914384671[/C][C]0.770281741829191[/C][/ROW]
[ROW][C]0.8[/C][C]17.5079349438565[/C][C]0.761263022880873[/C][/ROW]
[ROW][C]0.81[/C][C]17.6789627668502[/C][C]0.738700471151125[/C][/ROW]
[ROW][C]0.82[/C][C]17.8469458602275[/C][C]0.705457936259214[/C][/ROW]
[ROW][C]0.83[/C][C]18.0104121209133[/C][C]0.665741416468816[/C][/ROW]
[ROW][C]0.84[/C][C]18.1688042897485[/C][C]0.62442579689206[/C][/ROW]
[ROW][C]0.85[/C][C]18.3224541043654[/C][C]0.586181166110277[/C][/ROW]
[ROW][C]0.86[/C][C]18.4723531550299[/C][C]0.554203376310889[/C][/ROW]
[ROW][C]0.87[/C][C]18.6197644679017[/C][C]0.529207739285503[/C][/ROW]
[ROW][C]0.88[/C][C]18.765789875914[/C][C]0.509141882652507[/C][/ROW]
[ROW][C]0.89[/C][C]18.9110560724296[/C][C]0.490172813054573[/C][/ROW]
[ROW][C]0.9[/C][C]19.0556713818183[/C][C]0.468614417241375[/C][/ROW]
[ROW][C]0.91[/C][C]19.1995125764347[/C][C]0.442863198288627[/C][/ROW]
[ROW][C]0.92[/C][C]19.3427436051636[/C][C]0.414345099843876[/C][/ROW]
[ROW][C]0.93[/C][C]19.4863476930196[/C][C]0.386954579171884[/C][/ROW]
[ROW][C]0.94[/C][C]19.6325848563638[/C][C]0.364484535959565[/C][/ROW]
[ROW][C]0.95[/C][C]19.7858168826578[/C][C]0.347251857614826[/C][/ROW]
[ROW][C]0.96[/C][C]19.9544207418127[/C][C]0.333945555169473[/C][/ROW]
[ROW][C]0.97[/C][C]20.1520964670305[/C][C]0.337856543966587[/C][/ROW]
[ROW][C]0.98[/C][C]20.3895464124558[/C][C]0.401663887717101[/C][/ROW]
[ROW][C]0.99[/C][C]20.6444180084005[/C][C]0.54045628992641[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=41801&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=41801&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
0.019.756179765394620.0987102287491857
0.029.8118865682580.102100417673678
0.039.875792493781780.123338417709573
0.049.943309294117570.151671154879482
0.0510.01312604221300.172848118563292
0.0610.0829769800340.17899532594232
0.0710.14934707732090.170055829627921
0.0810.20898091135210.151231617916165
0.0910.26008244758480.129118813096427
0.110.30255839945190.108987819255394
0.1110.33757276661710.0937629739018235
0.1210.36688855886130.0842662695789984
0.1310.39231917786830.079925635047895
0.1410.41539844090300.079442293584131
0.1510.43724443814500.0812568913099315
0.1610.45855047765150.0839042635405636
0.1710.47964548490370.0862617772559867
0.1810.50058736875190.0875998869001612
0.1910.52126782192760.0876306074289146
0.210.54151407763970.0864463417339709
0.2110.56117672455900.0844867682069355
0.2210.58019642579190.0824253343668599
0.2310.59864715359890.081081765782435
0.2410.61675833462270.0813484731948166
0.2510.63492175170640.084118342827341
0.2610.65369042677580.0903038037603969
0.2710.67377606808500.100771053704056
0.2810.69604957883680.116406532565136
0.2910.72154631675650.138125124058667
0.310.75147488642600.166904349798974
0.3110.78722567055390.203816512648731
0.3210.83037333697390.249962578883655
0.3310.88266638101930.306312373613069
0.3410.94599653418050.373635785535655
0.3511.02234174056200.452291904708386
0.3611.11367850439790.542085811692395
0.3711.22186280544860.642051841018053
0.3811.34848336934230.750292605314839
0.3911.49469651693890.863942451485647
0.411.66105742143320.979156254176615
0.4111.84736736807191.09128143237440
0.4212.05255933001831.19507448489361
0.4312.27464368945091.28515939712383
0.4412.51073148799871.35647000708392
0.4512.75714416219641.40481191617360
0.4613.00960722435331.42729925788633
0.4713.26351261141901.42270222697976
0.4813.51422286648511.39166175443714
0.4913.7573824212241.33657552326437
0.513.98919892154631.26139963989676
0.5114.20666157650551.17116534289574
0.5214.40767331120051.07145502598582
0.5314.59108715972960.967829914449881
0.5414.75665207355280.86535135847008
0.5514.90488619561050.768076878629027
0.5615.03690426275650.678991456009473
0.5715.15422885958500.599881200444016
0.5815.25861281122800.531436295836407
0.5915.35189332802220.473576928983595
0.615.43588960263910.425707390884646
0.6115.51234654563390.387034532608569
0.6215.58291992880280.356862170403329
0.6315.64919329498810.334654688065461
0.6415.71271464258650.320268615615633
0.6515.77504052253080.313822962722503
0.6615.83777596639700.315641644146899
0.6715.90259991895450.326185240580444
0.6815.97126731484230.345768372581416
0.6916.04558081420260.374430365472197
0.716.12732797451780.411712509452929
0.7116.21818372731180.456552800230863
0.7216.31958352648100.507186123437621
0.7316.43257895126000.561153173359494
0.7416.55769383779300.61533675822764
0.7516.69480380962280.666217936327846
0.7616.84306403899850.710163268733334
0.7717.00090820816590.743790870081029
0.7817.16613545035710.76436947403764
0.7917.33609143846710.770281741829191
0.817.50793494385650.761263022880873
0.8117.67896276685020.738700471151125
0.8217.84694586022750.705457936259214
0.8318.01041212091330.665741416468816
0.8418.16880428974850.62442579689206
0.8518.32245410436540.586181166110277
0.8618.47235315502990.554203376310889
0.8718.61976446790170.529207739285503
0.8818.7657898759140.509141882652507
0.8918.91105607242960.490172813054573
0.919.05567138181830.468614417241375
0.9119.19951257643470.442863198288627
0.9219.34274360516360.414345099843876
0.9319.48634769301960.386954579171884
0.9419.63258485636380.364484535959565
0.9519.78581688265780.347251857614826
0.9619.95442074181270.333945555169473
0.9720.15209646703050.337856543966587
0.9820.38954641245580.401663887717101
0.9920.64441800840050.54045628992641


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')