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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 23 Oct 2008 06:20:58 -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/23/t12247645238otqnpnaews2tg7.htm/, Retrieved Sun, 19 May 2024 05:54:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18485, Retrieved Sun, 19 May 2024 05:54:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact210

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [Q9] [2008-10-23 12:20:58] [787873b6436f665b5b192a0bdb2e43c9] [Current]
- R P       [Harrell-Davis Quantiles] [verbetering tamar...] [2008-10-31 10:52:28] [077ffec662d24c06be4c491541a44245]
Feedback Forum
2008-10-30 12:38:10 [Tamara Witters] [reply] 
Deze oefening heb ik op de verkeerde manier opgelost.

Juiste oplossing:

In het betrouwbaarheidsinterval van Harrell-Davis Quantiles zetten we de stepsize eerst op 0,005. Er moet telkens 2,5% wegvallen aan de staarten om de 95% betrouwbaarheidsinterval te bekomen.
2,5% geeft een waarde van 14,326

97,5% geeft een waarde van 42,236
Er is 95% kans dat de waarden vallen tussen deze 2 waarden.

Daarna zoeken we het gemiddelde van deze reeks. Het gemiddelde is 24.0509565217391
Daarna verminderen we onze minimum- en maximumwaarde van het interval met het gemiddelde.
MIN = 14,326 – 24,0509 = -9,7249
MAX 42, 236–24,0509= 18,1851
Deze waarden zijn zeer groot dus de betrouwbaarheid is zeer klein. Hier is zeker nog ruimte voor verbetering.


Een andere manier zou zijn de R-code te veranderen:
x--> x-gemiddelde
2008-10-31 11:10:53 [Glenn De Maeyer] [reply] 
De student maakte hier in de berekening inderdaad een fout. Ze vergat het gemiddelde in mindering te brengen. We kunnen dit inderdaad oplossen door van de minimum en de maximum interval van de 95% confidence interval het gemiddelde af te trekken. Maar een andere manier zou zijn door in de R-code x <- x - gemiddelde (24.0509565217391) in te geven. Als we dit nu ook eens effectief doen (zie link: http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/31/t1225450424mahrfcd1dwt439m.htm) dan merken we dat we de resultaten gewoon kunnen aflezen zonder dat we het gemiddelde achteraf zelf in mindering moeten brengen. Waarom moeten we nu eigelijk het gemiddelde in mindering brengen? Aangezien we op basis van de formules (Yt = C + Et en Ft = Yt -Et = C) kunnen afleiden dat de constante de voorspelling is en men in de opgave vraagt om de voorspellingsfout (prediction error) te berekenen, dienen we dus de constante (de voorpelling) in mindering te brengen om de voorspellingsfout te bekomen. Welke voorspelling moet je er nu juist aftrekken? Als er outliers neem je best de mediaan. Indien er geen outliers zijn neem je best het gemiddelde.
2008-11-03 08:59:14 [4db2e62d895b4fb371d0fef3013b569f] [reply] 
Student vergat hier het gemiddelde in vermindering te brengen bij de bekomen resultaten van het confidence interval (95%).

Om correct antwoord te bekomen zullen we wederom in de R-code X <- x- 24.0509565217391 moeten invoeren.

Vervolgens krijg je een correcte weergave van de oplossing

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15.22
14.28
14.61
14.19
14.02
14.22
14.80
15.05
15.24
15.85
15.43
15.41
15.53
15.95
15.72
15.68
16.06
15.27
16.01
15.44
15.47
15.49
15.38
16.62
17.25
16.37
16.14
15.76
15.54
15.46
15.26
16.02
15.67
15.67
15.48
16.07
16.65
16.18
16.55
16.58
17.73
17.94
18.66
18.73
19.07
19.48
19.52
19.60
20.32
19.84
19.81
20.64
22.12
21.50
21.77
20.29
21.76
22.35
22.15
23.83
24.46
25.13
24.36
24.45
23.66
25.97
25.20
24.41
25.32
26.36
28.03
28.95
27.25
27.47
28.75
29.24
28.03
27.34
26.47
28.30
27.90
26.69
28.31
28.84
28.56
28.25
28.93
28.22
31.77
31.64
30.60
32.34
31.51
31.39
32.19
33.11
33.99
34.30
34.53
33.67
34.72
34.91
36.24
37.47
36.94
38.55
39.88
37.78
40.09
40.17
40.67
44.82
40.89
41.47
44.67

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 5 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18485&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18485&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18485&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 time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0114.11334966221510.133657619940322
0.01514.17886423959710.144860545559508
0.0214.2497314238680.183823939316588
0.02514.32673226880850.23523072889654
0.0314.41121461343370.284449825641472
0.03514.50276069702570.322051498745840
0.0414.59894512122720.343507066010989
0.04514.69618854253880.348291087844921
0.0514.79078398005350.338561415334126
0.05514.87963927812940.317937643101562
0.0614.96063842835710.290434470767419
0.06515.03269455189690.259787836348072
0.0715.09561106668100.229088217728671
0.07515.14985378942750.200595435302875
0.0815.19630660705820.175645987957030
0.08515.23605473390200.154819352200617
0.0915.27021750574150.138008690932269
0.09515.29983706336180.124699409030311
0.115.32581888526810.114202268141809
0.10515.34891391217370.105884025623305
0.1115.36972926430860.0992532075299078
0.11515.38875462727910.0940671242893003
0.1215.40639346861130.0902471991728651
0.12515.42299142557020.087835543677728
0.1315.43885760078620.0869216031970988
0.13515.45427744833800.0875985114505713
0.1415.46951805292890.0898362374715208
0.14515.48482780391630.0935533699273497
0.1515.50043285715600.0986005750956833
0.15515.51653258505540.104777166659128
0.1615.53329568862070.111844411335939
0.16515.55085800203510.119569845886878
0.1715.56932241756940.127778680288836
0.17515.58876088856790.136271341330574
0.1815.60921816719400.144933246898061
0.18515.63071679676660.153630845262848
0.1915.65326287509070.162340027446400
0.19515.67685219139930.171008088578092
0.215.70147646880580.179692621901282
0.20515.72712957473400.188375123559877
0.2115.75381366184560.197201103677298
0.21515.78154525265180.20628140857505
0.2215.81036127699750.2158148606479
0.22515.84032501976690.226045607387640
0.2315.87153185218380.237238224637093
0.23515.90411452425120.249742989559064
0.2415.93824770861270.264013460681803
0.24515.97415142422450.280434804412436
0.2516.01209294255500.299424245115297
0.25516.05238679378660.321518825837549
0.2616.09539254405470.3470442226291
0.26516.14151010154030.376319589189024
0.2716.19117242189340.40965460752496
0.27516.24483561475580.447176308364885
0.2816.30296659701100.488905596551969
0.28516.36602858994010.534758306042402
0.2916.434464912190.584493942021067
0.29516.50868167285950.637711111321737
0.316.58903011130630.693757497312982
0.30516.67578945166690.751996096610855
0.3116.76915122700200.811595267249444
0.31516.86920606534710.871560740436253
0.3216.97593390341570.93086060560989
0.32517.08919849239100.988459154146417
0.3317.20874687946561.04331082072651
0.33517.33421429217771.09437964062058
0.3417.46513453315051.14083379477164
0.34517.60095563254671.18200491295430
0.3517.74106013362141.21733566835714
0.35517.88478903660011.24661705271099
0.3618.03146813150321.26972795050927
0.36518.18043524160341.28698146527319
0.3718.33106679859191.29887811369234
0.37518.48280219066731.30606868034265
0.3818.63516446609171.30945426473472
0.38518.78777622572771.31006417778056
0.3918.94036987624181.30892520956374
0.39519.09279181036791.30721728763587
0.419.24500049630411.30591610969018
0.40519.39705885843221.30606440526143
0.4119.54912168249911.30837481004356
0.41519.70141905288521.31344241390618
0.4219.85423700929801.32167613251153
0.42520.00789668725971.33324253036056
0.4320.16273318390751.34812014771141
0.43520.31907528038711.3659720764873
0.4420.47722697460431.38647637072920
0.44520.63745155815491.40907101461256
0.4520.79995873513791.43315426854043
0.45520.96489505259981.45808560365072
0.4621.1323377121081.48313184044102
0.46521.30229167206901.50767273267184
0.4721.47468983571671.53096221735259
0.47521.64939604743691.55248335539289
0.4821.82621058127681.57165211794849
0.48522.00487778725581.58801089297094
0.4922.18509554952261.60125487504918
0.49522.36652619344051.61096113731614
0.522.54880844856811.61704776886408
0.50522.73157002943221.61940237218266
0.5122.9144403405381.61807481545754
0.51523.09706275647221.61329991304506
0.5223.27910588624181.60535294859990
0.52523.46027321836481.59457288712114
0.5323.64031057305601.58146269926921
0.53523.81901086896961.56658482052927
0.5423.99621584654241.55037368723125
0.54524.17181457253001.53337600070655
0.5524.34573876791101.51602721321988
0.55524.51795523497271.49869921606739
0.5624.68845588655711.48163249040516
0.56524.85724607798421.46492848064653
0.5725.02433208949411.44855773898534
0.57525.1897086888171.43230313648891
0.5825.35334771153121.41583872178128
0.58525.51518853112101.39893506669037
0.5925.67513115876241.38107395402295
0.59525.83303252900831.36173524646212
0.625.98870631023061.34056684701266
0.60526.14192634831191.31715809334974
0.6126.29243362842211.29111050164993
0.61526.43994643969321.26240787455563
0.6226.58417326374391.23086519537997
0.62526.72482778756051.19658227302726
0.6326.86164536611261.15978467016010
0.63526.9944002273541.12087559763940
0.6427.12292271518731.08039467565095
0.64527.24711589527551.03895448927235
0.6527.36697089381120.99736737067461
0.65527.48258039023080.956545890201438
0.6627.59414973255020.917470932173591
0.66527.70200518227840.881158419762654
0.6727.80659882220370.848791896626347
0.67527.90850967680160.82147246818558
0.6828.00844060893650.800259969656334
0.68528.10721058067720.786315687313665
0.6928.20574191803050.780481175047025
0.69528.30504231992690.783524071540918
0.728.40618152170730.796006204280162
0.70528.51026277929710.817983762922944
0.7128.61838968944050.849345552134755
0.71528.73162929613180.889421953140277
0.7228.85097292674520.93730989965132
0.72528.97729670484810.991678573203882
0.7329.1113241319071.05094268488659
0.73529.25359343507061.11326471811388
0.7429.40443245850981.17671046545179
0.74529.56394365986981.23916993773835
0.7529.73200121987931.29871621115796
0.75529.90826138701261.35349387457241
0.7630.09218602272781.40198562076301
0.76530.28307800836841.44307900378744
0.7730.48012589495751.47594695361602
0.77530.68245412295331.50048823497731
0.7830.88917450733491.51687065192198
0.78531.09943462708841.52577966548615
0.7931.31245934755461.52818435949434
0.79531.52758289691921.52529158127704
0.831.74427054738111.51833311637751
0.80531.96213073737351.50850753351451
0.8132.18092005993721.49698888373038
0.81532.40054456976791.48467187184463
0.8232.6210610322231.47237531441125
0.82532.84268090586191.46088092531231
0.8333.06577808339411.45095720457103
0.83533.2908990219961.44346765327244
0.8433.51877139460411.43951784741736
0.84533.75030543679251.44024421653832
0.8533.98658137852571.44686704009841
0.85534.22881716911871.46035373655690
0.8634.47831319293641.48126531608587
0.86534.73637442511481.50934467721445
0.8735.00421462580811.54362495576917
0.87535.28285057501131.58221952727113
0.8835.57299592905981.62255033934977
0.88535.8749634597971.66162743242333
0.8936.18858154707761.69622914458159
0.89536.51312723758981.72332031072540
0.936.84727619784621.73998864963185
0.90537.18907184022241.74360202542216
0.9137.53592322998241.73169945587263
0.91537.88465363945891.70202139484677
0.9238.23163615370931.65265995680336
0.92538.57306549636061.58256081481294
0.9338.90542244754971.49237532256195
0.93539.22618638660951.38526818645891
0.9439.53483892369651.26794086657922
0.94539.83416332804721.15171089779512
0.9540.1317417672741.05342531449324
0.95540.44131454396650.996882605374137
0.9640.78322180321761.01172705547830
0.96541.1825421239051.12286313622649
0.9741.66313643654241.32810515208871
0.97542.23644575601571.57627781690321
0.9842.88666724919671.75723861631984
0.98543.55907274268791.72025265815838
0.9944.16323341891981.35205576498642

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14.1133496622151 & 0.133657619940322 \tabularnewline
0.015 & 14.1788642395971 & 0.144860545559508 \tabularnewline
0.02 & 14.249731423868 & 0.183823939316588 \tabularnewline
0.025 & 14.3267322688085 & 0.23523072889654 \tabularnewline
0.03 & 14.4112146134337 & 0.284449825641472 \tabularnewline
0.035 & 14.5027606970257 & 0.322051498745840 \tabularnewline
0.04 & 14.5989451212272 & 0.343507066010989 \tabularnewline
0.045 & 14.6961885425388 & 0.348291087844921 \tabularnewline
0.05 & 14.7907839800535 & 0.338561415334126 \tabularnewline
0.055 & 14.8796392781294 & 0.317937643101562 \tabularnewline
0.06 & 14.9606384283571 & 0.290434470767419 \tabularnewline
0.065 & 15.0326945518969 & 0.259787836348072 \tabularnewline
0.07 & 15.0956110666810 & 0.229088217728671 \tabularnewline
0.075 & 15.1498537894275 & 0.200595435302875 \tabularnewline
0.08 & 15.1963066070582 & 0.175645987957030 \tabularnewline
0.085 & 15.2360547339020 & 0.154819352200617 \tabularnewline
0.09 & 15.2702175057415 & 0.138008690932269 \tabularnewline
0.095 & 15.2998370633618 & 0.124699409030311 \tabularnewline
0.1 & 15.3258188852681 & 0.114202268141809 \tabularnewline
0.105 & 15.3489139121737 & 0.105884025623305 \tabularnewline
0.11 & 15.3697292643086 & 0.0992532075299078 \tabularnewline
0.115 & 15.3887546272791 & 0.0940671242893003 \tabularnewline
0.12 & 15.4063934686113 & 0.0902471991728651 \tabularnewline
0.125 & 15.4229914255702 & 0.087835543677728 \tabularnewline
0.13 & 15.4388576007862 & 0.0869216031970988 \tabularnewline
0.135 & 15.4542774483380 & 0.0875985114505713 \tabularnewline
0.14 & 15.4695180529289 & 0.0898362374715208 \tabularnewline
0.145 & 15.4848278039163 & 0.0935533699273497 \tabularnewline
0.15 & 15.5004328571560 & 0.0986005750956833 \tabularnewline
0.155 & 15.5165325850554 & 0.104777166659128 \tabularnewline
0.16 & 15.5332956886207 & 0.111844411335939 \tabularnewline
0.165 & 15.5508580020351 & 0.119569845886878 \tabularnewline
0.17 & 15.5693224175694 & 0.127778680288836 \tabularnewline
0.175 & 15.5887608885679 & 0.136271341330574 \tabularnewline
0.18 & 15.6092181671940 & 0.144933246898061 \tabularnewline
0.185 & 15.6307167967666 & 0.153630845262848 \tabularnewline
0.19 & 15.6532628750907 & 0.162340027446400 \tabularnewline
0.195 & 15.6768521913993 & 0.171008088578092 \tabularnewline
0.2 & 15.7014764688058 & 0.179692621901282 \tabularnewline
0.205 & 15.7271295747340 & 0.188375123559877 \tabularnewline
0.21 & 15.7538136618456 & 0.197201103677298 \tabularnewline
0.215 & 15.7815452526518 & 0.20628140857505 \tabularnewline
0.22 & 15.8103612769975 & 0.2158148606479 \tabularnewline
0.225 & 15.8403250197669 & 0.226045607387640 \tabularnewline
0.23 & 15.8715318521838 & 0.237238224637093 \tabularnewline
0.235 & 15.9041145242512 & 0.249742989559064 \tabularnewline
0.24 & 15.9382477086127 & 0.264013460681803 \tabularnewline
0.245 & 15.9741514242245 & 0.280434804412436 \tabularnewline
0.25 & 16.0120929425550 & 0.299424245115297 \tabularnewline
0.255 & 16.0523867937866 & 0.321518825837549 \tabularnewline
0.26 & 16.0953925440547 & 0.3470442226291 \tabularnewline
0.265 & 16.1415101015403 & 0.376319589189024 \tabularnewline
0.27 & 16.1911724218934 & 0.40965460752496 \tabularnewline
0.275 & 16.2448356147558 & 0.447176308364885 \tabularnewline
0.28 & 16.3029665970110 & 0.488905596551969 \tabularnewline
0.285 & 16.3660285899401 & 0.534758306042402 \tabularnewline
0.29 & 16.43446491219 & 0.584493942021067 \tabularnewline
0.295 & 16.5086816728595 & 0.637711111321737 \tabularnewline
0.3 & 16.5890301113063 & 0.693757497312982 \tabularnewline
0.305 & 16.6757894516669 & 0.751996096610855 \tabularnewline
0.31 & 16.7691512270020 & 0.811595267249444 \tabularnewline
0.315 & 16.8692060653471 & 0.871560740436253 \tabularnewline
0.32 & 16.9759339034157 & 0.93086060560989 \tabularnewline
0.325 & 17.0891984923910 & 0.988459154146417 \tabularnewline
0.33 & 17.2087468794656 & 1.04331082072651 \tabularnewline
0.335 & 17.3342142921777 & 1.09437964062058 \tabularnewline
0.34 & 17.4651345331505 & 1.14083379477164 \tabularnewline
0.345 & 17.6009556325467 & 1.18200491295430 \tabularnewline
0.35 & 17.7410601336214 & 1.21733566835714 \tabularnewline
0.355 & 17.8847890366001 & 1.24661705271099 \tabularnewline
0.36 & 18.0314681315032 & 1.26972795050927 \tabularnewline
0.365 & 18.1804352416034 & 1.28698146527319 \tabularnewline
0.37 & 18.3310667985919 & 1.29887811369234 \tabularnewline
0.375 & 18.4828021906673 & 1.30606868034265 \tabularnewline
0.38 & 18.6351644660917 & 1.30945426473472 \tabularnewline
0.385 & 18.7877762257277 & 1.31006417778056 \tabularnewline
0.39 & 18.9403698762418 & 1.30892520956374 \tabularnewline
0.395 & 19.0927918103679 & 1.30721728763587 \tabularnewline
0.4 & 19.2450004963041 & 1.30591610969018 \tabularnewline
0.405 & 19.3970588584322 & 1.30606440526143 \tabularnewline
0.41 & 19.5491216824991 & 1.30837481004356 \tabularnewline
0.415 & 19.7014190528852 & 1.31344241390618 \tabularnewline
0.42 & 19.8542370092980 & 1.32167613251153 \tabularnewline
0.425 & 20.0078966872597 & 1.33324253036056 \tabularnewline
0.43 & 20.1627331839075 & 1.34812014771141 \tabularnewline
0.435 & 20.3190752803871 & 1.3659720764873 \tabularnewline
0.44 & 20.4772269746043 & 1.38647637072920 \tabularnewline
0.445 & 20.6374515581549 & 1.40907101461256 \tabularnewline
0.45 & 20.7999587351379 & 1.43315426854043 \tabularnewline
0.455 & 20.9648950525998 & 1.45808560365072 \tabularnewline
0.46 & 21.132337712108 & 1.48313184044102 \tabularnewline
0.465 & 21.3022916720690 & 1.50767273267184 \tabularnewline
0.47 & 21.4746898357167 & 1.53096221735259 \tabularnewline
0.475 & 21.6493960474369 & 1.55248335539289 \tabularnewline
0.48 & 21.8262105812768 & 1.57165211794849 \tabularnewline
0.485 & 22.0048777872558 & 1.58801089297094 \tabularnewline
0.49 & 22.1850955495226 & 1.60125487504918 \tabularnewline
0.495 & 22.3665261934405 & 1.61096113731614 \tabularnewline
0.5 & 22.5488084485681 & 1.61704776886408 \tabularnewline
0.505 & 22.7315700294322 & 1.61940237218266 \tabularnewline
0.51 & 22.914440340538 & 1.61807481545754 \tabularnewline
0.515 & 23.0970627564722 & 1.61329991304506 \tabularnewline
0.52 & 23.2791058862418 & 1.60535294859990 \tabularnewline
0.525 & 23.4602732183648 & 1.59457288712114 \tabularnewline
0.53 & 23.6403105730560 & 1.58146269926921 \tabularnewline
0.535 & 23.8190108689696 & 1.56658482052927 \tabularnewline
0.54 & 23.9962158465424 & 1.55037368723125 \tabularnewline
0.545 & 24.1718145725300 & 1.53337600070655 \tabularnewline
0.55 & 24.3457387679110 & 1.51602721321988 \tabularnewline
0.555 & 24.5179552349727 & 1.49869921606739 \tabularnewline
0.56 & 24.6884558865571 & 1.48163249040516 \tabularnewline
0.565 & 24.8572460779842 & 1.46492848064653 \tabularnewline
0.57 & 25.0243320894941 & 1.44855773898534 \tabularnewline
0.575 & 25.189708688817 & 1.43230313648891 \tabularnewline
0.58 & 25.3533477115312 & 1.41583872178128 \tabularnewline
0.585 & 25.5151885311210 & 1.39893506669037 \tabularnewline
0.59 & 25.6751311587624 & 1.38107395402295 \tabularnewline
0.595 & 25.8330325290083 & 1.36173524646212 \tabularnewline
0.6 & 25.9887063102306 & 1.34056684701266 \tabularnewline
0.605 & 26.1419263483119 & 1.31715809334974 \tabularnewline
0.61 & 26.2924336284221 & 1.29111050164993 \tabularnewline
0.615 & 26.4399464396932 & 1.26240787455563 \tabularnewline
0.62 & 26.5841732637439 & 1.23086519537997 \tabularnewline
0.625 & 26.7248277875605 & 1.19658227302726 \tabularnewline
0.63 & 26.8616453661126 & 1.15978467016010 \tabularnewline
0.635 & 26.994400227354 & 1.12087559763940 \tabularnewline
0.64 & 27.1229227151873 & 1.08039467565095 \tabularnewline
0.645 & 27.2471158952755 & 1.03895448927235 \tabularnewline
0.65 & 27.3669708938112 & 0.99736737067461 \tabularnewline
0.655 & 27.4825803902308 & 0.956545890201438 \tabularnewline
0.66 & 27.5941497325502 & 0.917470932173591 \tabularnewline
0.665 & 27.7020051822784 & 0.881158419762654 \tabularnewline
0.67 & 27.8065988222037 & 0.848791896626347 \tabularnewline
0.675 & 27.9085096768016 & 0.82147246818558 \tabularnewline
0.68 & 28.0084406089365 & 0.800259969656334 \tabularnewline
0.685 & 28.1072105806772 & 0.786315687313665 \tabularnewline
0.69 & 28.2057419180305 & 0.780481175047025 \tabularnewline
0.695 & 28.3050423199269 & 0.783524071540918 \tabularnewline
0.7 & 28.4061815217073 & 0.796006204280162 \tabularnewline
0.705 & 28.5102627792971 & 0.817983762922944 \tabularnewline
0.71 & 28.6183896894405 & 0.849345552134755 \tabularnewline
0.715 & 28.7316292961318 & 0.889421953140277 \tabularnewline
0.72 & 28.8509729267452 & 0.93730989965132 \tabularnewline
0.725 & 28.9772967048481 & 0.991678573203882 \tabularnewline
0.73 & 29.111324131907 & 1.05094268488659 \tabularnewline
0.735 & 29.2535934350706 & 1.11326471811388 \tabularnewline
0.74 & 29.4044324585098 & 1.17671046545179 \tabularnewline
0.745 & 29.5639436598698 & 1.23916993773835 \tabularnewline
0.75 & 29.7320012198793 & 1.29871621115796 \tabularnewline
0.755 & 29.9082613870126 & 1.35349387457241 \tabularnewline
0.76 & 30.0921860227278 & 1.40198562076301 \tabularnewline
0.765 & 30.2830780083684 & 1.44307900378744 \tabularnewline
0.77 & 30.4801258949575 & 1.47594695361602 \tabularnewline
0.775 & 30.6824541229533 & 1.50048823497731 \tabularnewline
0.78 & 30.8891745073349 & 1.51687065192198 \tabularnewline
0.785 & 31.0994346270884 & 1.52577966548615 \tabularnewline
0.79 & 31.3124593475546 & 1.52818435949434 \tabularnewline
0.795 & 31.5275828969192 & 1.52529158127704 \tabularnewline
0.8 & 31.7442705473811 & 1.51833311637751 \tabularnewline
0.805 & 31.9621307373735 & 1.50850753351451 \tabularnewline
0.81 & 32.1809200599372 & 1.49698888373038 \tabularnewline
0.815 & 32.4005445697679 & 1.48467187184463 \tabularnewline
0.82 & 32.621061032223 & 1.47237531441125 \tabularnewline
0.825 & 32.8426809058619 & 1.46088092531231 \tabularnewline
0.83 & 33.0657780833941 & 1.45095720457103 \tabularnewline
0.835 & 33.290899021996 & 1.44346765327244 \tabularnewline
0.84 & 33.5187713946041 & 1.43951784741736 \tabularnewline
0.845 & 33.7503054367925 & 1.44024421653832 \tabularnewline
0.85 & 33.9865813785257 & 1.44686704009841 \tabularnewline
0.855 & 34.2288171691187 & 1.46035373655690 \tabularnewline
0.86 & 34.4783131929364 & 1.48126531608587 \tabularnewline
0.865 & 34.7363744251148 & 1.50934467721445 \tabularnewline
0.87 & 35.0042146258081 & 1.54362495576917 \tabularnewline
0.875 & 35.2828505750113 & 1.58221952727113 \tabularnewline
0.88 & 35.5729959290598 & 1.62255033934977 \tabularnewline
0.885 & 35.874963459797 & 1.66162743242333 \tabularnewline
0.89 & 36.1885815470776 & 1.69622914458159 \tabularnewline
0.895 & 36.5131272375898 & 1.72332031072540 \tabularnewline
0.9 & 36.8472761978462 & 1.73998864963185 \tabularnewline
0.905 & 37.1890718402224 & 1.74360202542216 \tabularnewline
0.91 & 37.5359232299824 & 1.73169945587263 \tabularnewline
0.915 & 37.8846536394589 & 1.70202139484677 \tabularnewline
0.92 & 38.2316361537093 & 1.65265995680336 \tabularnewline
0.925 & 38.5730654963606 & 1.58256081481294 \tabularnewline
0.93 & 38.9054224475497 & 1.49237532256195 \tabularnewline
0.935 & 39.2261863866095 & 1.38526818645891 \tabularnewline
0.94 & 39.5348389236965 & 1.26794086657922 \tabularnewline
0.945 & 39.8341633280472 & 1.15171089779512 \tabularnewline
0.95 & 40.131741767274 & 1.05342531449324 \tabularnewline
0.955 & 40.4413145439665 & 0.996882605374137 \tabularnewline
0.96 & 40.7832218032176 & 1.01172705547830 \tabularnewline
0.965 & 41.182542123905 & 1.12286313622649 \tabularnewline
0.97 & 41.6631364365424 & 1.32810515208871 \tabularnewline
0.975 & 42.2364457560157 & 1.57627781690321 \tabularnewline
0.98 & 42.8866672491967 & 1.75723861631984 \tabularnewline
0.985 & 43.5590727426879 & 1.72025265815838 \tabularnewline
0.99 & 44.1632334189198 & 1.35205576498642 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18485&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]14.1133496622151[/C][C]0.133657619940322[/C][/ROW]
[ROW][C]0.015[/C][C]14.1788642395971[/C][C]0.144860545559508[/C][/ROW]
[ROW][C]0.02[/C][C]14.249731423868[/C][C]0.183823939316588[/C][/ROW]
[ROW][C]0.025[/C][C]14.3267322688085[/C][C]0.23523072889654[/C][/ROW]
[ROW][C]0.03[/C][C]14.4112146134337[/C][C]0.284449825641472[/C][/ROW]
[ROW][C]0.035[/C][C]14.5027606970257[/C][C]0.322051498745840[/C][/ROW]
[ROW][C]0.04[/C][C]14.5989451212272[/C][C]0.343507066010989[/C][/ROW]
[ROW][C]0.045[/C][C]14.6961885425388[/C][C]0.348291087844921[/C][/ROW]
[ROW][C]0.05[/C][C]14.7907839800535[/C][C]0.338561415334126[/C][/ROW]
[ROW][C]0.055[/C][C]14.8796392781294[/C][C]0.317937643101562[/C][/ROW]
[ROW][C]0.06[/C][C]14.9606384283571[/C][C]0.290434470767419[/C][/ROW]
[ROW][C]0.065[/C][C]15.0326945518969[/C][C]0.259787836348072[/C][/ROW]
[ROW][C]0.07[/C][C]15.0956110666810[/C][C]0.229088217728671[/C][/ROW]
[ROW][C]0.075[/C][C]15.1498537894275[/C][C]0.200595435302875[/C][/ROW]
[ROW][C]0.08[/C][C]15.1963066070582[/C][C]0.175645987957030[/C][/ROW]
[ROW][C]0.085[/C][C]15.2360547339020[/C][C]0.154819352200617[/C][/ROW]
[ROW][C]0.09[/C][C]15.2702175057415[/C][C]0.138008690932269[/C][/ROW]
[ROW][C]0.095[/C][C]15.2998370633618[/C][C]0.124699409030311[/C][/ROW]
[ROW][C]0.1[/C][C]15.3258188852681[/C][C]0.114202268141809[/C][/ROW]
[ROW][C]0.105[/C][C]15.3489139121737[/C][C]0.105884025623305[/C][/ROW]
[ROW][C]0.11[/C][C]15.3697292643086[/C][C]0.0992532075299078[/C][/ROW]
[ROW][C]0.115[/C][C]15.3887546272791[/C][C]0.0940671242893003[/C][/ROW]
[ROW][C]0.12[/C][C]15.4063934686113[/C][C]0.0902471991728651[/C][/ROW]
[ROW][C]0.125[/C][C]15.4229914255702[/C][C]0.087835543677728[/C][/ROW]
[ROW][C]0.13[/C][C]15.4388576007862[/C][C]0.0869216031970988[/C][/ROW]
[ROW][C]0.135[/C][C]15.4542774483380[/C][C]0.0875985114505713[/C][/ROW]
[ROW][C]0.14[/C][C]15.4695180529289[/C][C]0.0898362374715208[/C][/ROW]
[ROW][C]0.145[/C][C]15.4848278039163[/C][C]0.0935533699273497[/C][/ROW]
[ROW][C]0.15[/C][C]15.5004328571560[/C][C]0.0986005750956833[/C][/ROW]
[ROW][C]0.155[/C][C]15.5165325850554[/C][C]0.104777166659128[/C][/ROW]
[ROW][C]0.16[/C][C]15.5332956886207[/C][C]0.111844411335939[/C][/ROW]
[ROW][C]0.165[/C][C]15.5508580020351[/C][C]0.119569845886878[/C][/ROW]
[ROW][C]0.17[/C][C]15.5693224175694[/C][C]0.127778680288836[/C][/ROW]
[ROW][C]0.175[/C][C]15.5887608885679[/C][C]0.136271341330574[/C][/ROW]
[ROW][C]0.18[/C][C]15.6092181671940[/C][C]0.144933246898061[/C][/ROW]
[ROW][C]0.185[/C][C]15.6307167967666[/C][C]0.153630845262848[/C][/ROW]
[ROW][C]0.19[/C][C]15.6532628750907[/C][C]0.162340027446400[/C][/ROW]
[ROW][C]0.195[/C][C]15.6768521913993[/C][C]0.171008088578092[/C][/ROW]
[ROW][C]0.2[/C][C]15.7014764688058[/C][C]0.179692621901282[/C][/ROW]
[ROW][C]0.205[/C][C]15.7271295747340[/C][C]0.188375123559877[/C][/ROW]
[ROW][C]0.21[/C][C]15.7538136618456[/C][C]0.197201103677298[/C][/ROW]
[ROW][C]0.215[/C][C]15.7815452526518[/C][C]0.20628140857505[/C][/ROW]
[ROW][C]0.22[/C][C]15.8103612769975[/C][C]0.2158148606479[/C][/ROW]
[ROW][C]0.225[/C][C]15.8403250197669[/C][C]0.226045607387640[/C][/ROW]
[ROW][C]0.23[/C][C]15.8715318521838[/C][C]0.237238224637093[/C][/ROW]
[ROW][C]0.235[/C][C]15.9041145242512[/C][C]0.249742989559064[/C][/ROW]
[ROW][C]0.24[/C][C]15.9382477086127[/C][C]0.264013460681803[/C][/ROW]
[ROW][C]0.245[/C][C]15.9741514242245[/C][C]0.280434804412436[/C][/ROW]
[ROW][C]0.25[/C][C]16.0120929425550[/C][C]0.299424245115297[/C][/ROW]
[ROW][C]0.255[/C][C]16.0523867937866[/C][C]0.321518825837549[/C][/ROW]
[ROW][C]0.26[/C][C]16.0953925440547[/C][C]0.3470442226291[/C][/ROW]
[ROW][C]0.265[/C][C]16.1415101015403[/C][C]0.376319589189024[/C][/ROW]
[ROW][C]0.27[/C][C]16.1911724218934[/C][C]0.40965460752496[/C][/ROW]
[ROW][C]0.275[/C][C]16.2448356147558[/C][C]0.447176308364885[/C][/ROW]
[ROW][C]0.28[/C][C]16.3029665970110[/C][C]0.488905596551969[/C][/ROW]
[ROW][C]0.285[/C][C]16.3660285899401[/C][C]0.534758306042402[/C][/ROW]
[ROW][C]0.29[/C][C]16.43446491219[/C][C]0.584493942021067[/C][/ROW]
[ROW][C]0.295[/C][C]16.5086816728595[/C][C]0.637711111321737[/C][/ROW]
[ROW][C]0.3[/C][C]16.5890301113063[/C][C]0.693757497312982[/C][/ROW]
[ROW][C]0.305[/C][C]16.6757894516669[/C][C]0.751996096610855[/C][/ROW]
[ROW][C]0.31[/C][C]16.7691512270020[/C][C]0.811595267249444[/C][/ROW]
[ROW][C]0.315[/C][C]16.8692060653471[/C][C]0.871560740436253[/C][/ROW]
[ROW][C]0.32[/C][C]16.9759339034157[/C][C]0.93086060560989[/C][/ROW]
[ROW][C]0.325[/C][C]17.0891984923910[/C][C]0.988459154146417[/C][/ROW]
[ROW][C]0.33[/C][C]17.2087468794656[/C][C]1.04331082072651[/C][/ROW]
[ROW][C]0.335[/C][C]17.3342142921777[/C][C]1.09437964062058[/C][/ROW]
[ROW][C]0.34[/C][C]17.4651345331505[/C][C]1.14083379477164[/C][/ROW]
[ROW][C]0.345[/C][C]17.6009556325467[/C][C]1.18200491295430[/C][/ROW]
[ROW][C]0.35[/C][C]17.7410601336214[/C][C]1.21733566835714[/C][/ROW]
[ROW][C]0.355[/C][C]17.8847890366001[/C][C]1.24661705271099[/C][/ROW]
[ROW][C]0.36[/C][C]18.0314681315032[/C][C]1.26972795050927[/C][/ROW]
[ROW][C]0.365[/C][C]18.1804352416034[/C][C]1.28698146527319[/C][/ROW]
[ROW][C]0.37[/C][C]18.3310667985919[/C][C]1.29887811369234[/C][/ROW]
[ROW][C]0.375[/C][C]18.4828021906673[/C][C]1.30606868034265[/C][/ROW]
[ROW][C]0.38[/C][C]18.6351644660917[/C][C]1.30945426473472[/C][/ROW]
[ROW][C]0.385[/C][C]18.7877762257277[/C][C]1.31006417778056[/C][/ROW]
[ROW][C]0.39[/C][C]18.9403698762418[/C][C]1.30892520956374[/C][/ROW]
[ROW][C]0.395[/C][C]19.0927918103679[/C][C]1.30721728763587[/C][/ROW]
[ROW][C]0.4[/C][C]19.2450004963041[/C][C]1.30591610969018[/C][/ROW]
[ROW][C]0.405[/C][C]19.3970588584322[/C][C]1.30606440526143[/C][/ROW]
[ROW][C]0.41[/C][C]19.5491216824991[/C][C]1.30837481004356[/C][/ROW]
[ROW][C]0.415[/C][C]19.7014190528852[/C][C]1.31344241390618[/C][/ROW]
[ROW][C]0.42[/C][C]19.8542370092980[/C][C]1.32167613251153[/C][/ROW]
[ROW][C]0.425[/C][C]20.0078966872597[/C][C]1.33324253036056[/C][/ROW]
[ROW][C]0.43[/C][C]20.1627331839075[/C][C]1.34812014771141[/C][/ROW]
[ROW][C]0.435[/C][C]20.3190752803871[/C][C]1.3659720764873[/C][/ROW]
[ROW][C]0.44[/C][C]20.4772269746043[/C][C]1.38647637072920[/C][/ROW]
[ROW][C]0.445[/C][C]20.6374515581549[/C][C]1.40907101461256[/C][/ROW]
[ROW][C]0.45[/C][C]20.7999587351379[/C][C]1.43315426854043[/C][/ROW]
[ROW][C]0.455[/C][C]20.9648950525998[/C][C]1.45808560365072[/C][/ROW]
[ROW][C]0.46[/C][C]21.132337712108[/C][C]1.48313184044102[/C][/ROW]
[ROW][C]0.465[/C][C]21.3022916720690[/C][C]1.50767273267184[/C][/ROW]
[ROW][C]0.47[/C][C]21.4746898357167[/C][C]1.53096221735259[/C][/ROW]
[ROW][C]0.475[/C][C]21.6493960474369[/C][C]1.55248335539289[/C][/ROW]
[ROW][C]0.48[/C][C]21.8262105812768[/C][C]1.57165211794849[/C][/ROW]
[ROW][C]0.485[/C][C]22.0048777872558[/C][C]1.58801089297094[/C][/ROW]
[ROW][C]0.49[/C][C]22.1850955495226[/C][C]1.60125487504918[/C][/ROW]
[ROW][C]0.495[/C][C]22.3665261934405[/C][C]1.61096113731614[/C][/ROW]
[ROW][C]0.5[/C][C]22.5488084485681[/C][C]1.61704776886408[/C][/ROW]
[ROW][C]0.505[/C][C]22.7315700294322[/C][C]1.61940237218266[/C][/ROW]
[ROW][C]0.51[/C][C]22.914440340538[/C][C]1.61807481545754[/C][/ROW]
[ROW][C]0.515[/C][C]23.0970627564722[/C][C]1.61329991304506[/C][/ROW]
[ROW][C]0.52[/C][C]23.2791058862418[/C][C]1.60535294859990[/C][/ROW]
[ROW][C]0.525[/C][C]23.4602732183648[/C][C]1.59457288712114[/C][/ROW]
[ROW][C]0.53[/C][C]23.6403105730560[/C][C]1.58146269926921[/C][/ROW]
[ROW][C]0.535[/C][C]23.8190108689696[/C][C]1.56658482052927[/C][/ROW]
[ROW][C]0.54[/C][C]23.9962158465424[/C][C]1.55037368723125[/C][/ROW]
[ROW][C]0.545[/C][C]24.1718145725300[/C][C]1.53337600070655[/C][/ROW]
[ROW][C]0.55[/C][C]24.3457387679110[/C][C]1.51602721321988[/C][/ROW]
[ROW][C]0.555[/C][C]24.5179552349727[/C][C]1.49869921606739[/C][/ROW]
[ROW][C]0.56[/C][C]24.6884558865571[/C][C]1.48163249040516[/C][/ROW]
[ROW][C]0.565[/C][C]24.8572460779842[/C][C]1.46492848064653[/C][/ROW]
[ROW][C]0.57[/C][C]25.0243320894941[/C][C]1.44855773898534[/C][/ROW]
[ROW][C]0.575[/C][C]25.189708688817[/C][C]1.43230313648891[/C][/ROW]
[ROW][C]0.58[/C][C]25.3533477115312[/C][C]1.41583872178128[/C][/ROW]
[ROW][C]0.585[/C][C]25.5151885311210[/C][C]1.39893506669037[/C][/ROW]
[ROW][C]0.59[/C][C]25.6751311587624[/C][C]1.38107395402295[/C][/ROW]
[ROW][C]0.595[/C][C]25.8330325290083[/C][C]1.36173524646212[/C][/ROW]
[ROW][C]0.6[/C][C]25.9887063102306[/C][C]1.34056684701266[/C][/ROW]
[ROW][C]0.605[/C][C]26.1419263483119[/C][C]1.31715809334974[/C][/ROW]
[ROW][C]0.61[/C][C]26.2924336284221[/C][C]1.29111050164993[/C][/ROW]
[ROW][C]0.615[/C][C]26.4399464396932[/C][C]1.26240787455563[/C][/ROW]
[ROW][C]0.62[/C][C]26.5841732637439[/C][C]1.23086519537997[/C][/ROW]
[ROW][C]0.625[/C][C]26.7248277875605[/C][C]1.19658227302726[/C][/ROW]
[ROW][C]0.63[/C][C]26.8616453661126[/C][C]1.15978467016010[/C][/ROW]
[ROW][C]0.635[/C][C]26.994400227354[/C][C]1.12087559763940[/C][/ROW]
[ROW][C]0.64[/C][C]27.1229227151873[/C][C]1.08039467565095[/C][/ROW]
[ROW][C]0.645[/C][C]27.2471158952755[/C][C]1.03895448927235[/C][/ROW]
[ROW][C]0.65[/C][C]27.3669708938112[/C][C]0.99736737067461[/C][/ROW]
[ROW][C]0.655[/C][C]27.4825803902308[/C][C]0.956545890201438[/C][/ROW]
[ROW][C]0.66[/C][C]27.5941497325502[/C][C]0.917470932173591[/C][/ROW]
[ROW][C]0.665[/C][C]27.7020051822784[/C][C]0.881158419762654[/C][/ROW]
[ROW][C]0.67[/C][C]27.8065988222037[/C][C]0.848791896626347[/C][/ROW]
[ROW][C]0.675[/C][C]27.9085096768016[/C][C]0.82147246818558[/C][/ROW]
[ROW][C]0.68[/C][C]28.0084406089365[/C][C]0.800259969656334[/C][/ROW]
[ROW][C]0.685[/C][C]28.1072105806772[/C][C]0.786315687313665[/C][/ROW]
[ROW][C]0.69[/C][C]28.2057419180305[/C][C]0.780481175047025[/C][/ROW]
[ROW][C]0.695[/C][C]28.3050423199269[/C][C]0.783524071540918[/C][/ROW]
[ROW][C]0.7[/C][C]28.4061815217073[/C][C]0.796006204280162[/C][/ROW]
[ROW][C]0.705[/C][C]28.5102627792971[/C][C]0.817983762922944[/C][/ROW]
[ROW][C]0.71[/C][C]28.6183896894405[/C][C]0.849345552134755[/C][/ROW]
[ROW][C]0.715[/C][C]28.7316292961318[/C][C]0.889421953140277[/C][/ROW]
[ROW][C]0.72[/C][C]28.8509729267452[/C][C]0.93730989965132[/C][/ROW]
[ROW][C]0.725[/C][C]28.9772967048481[/C][C]0.991678573203882[/C][/ROW]
[ROW][C]0.73[/C][C]29.111324131907[/C][C]1.05094268488659[/C][/ROW]
[ROW][C]0.735[/C][C]29.2535934350706[/C][C]1.11326471811388[/C][/ROW]
[ROW][C]0.74[/C][C]29.4044324585098[/C][C]1.17671046545179[/C][/ROW]
[ROW][C]0.745[/C][C]29.5639436598698[/C][C]1.23916993773835[/C][/ROW]
[ROW][C]0.75[/C][C]29.7320012198793[/C][C]1.29871621115796[/C][/ROW]
[ROW][C]0.755[/C][C]29.9082613870126[/C][C]1.35349387457241[/C][/ROW]
[ROW][C]0.76[/C][C]30.0921860227278[/C][C]1.40198562076301[/C][/ROW]
[ROW][C]0.765[/C][C]30.2830780083684[/C][C]1.44307900378744[/C][/ROW]
[ROW][C]0.77[/C][C]30.4801258949575[/C][C]1.47594695361602[/C][/ROW]
[ROW][C]0.775[/C][C]30.6824541229533[/C][C]1.50048823497731[/C][/ROW]
[ROW][C]0.78[/C][C]30.8891745073349[/C][C]1.51687065192198[/C][/ROW]
[ROW][C]0.785[/C][C]31.0994346270884[/C][C]1.52577966548615[/C][/ROW]
[ROW][C]0.79[/C][C]31.3124593475546[/C][C]1.52818435949434[/C][/ROW]
[ROW][C]0.795[/C][C]31.5275828969192[/C][C]1.52529158127704[/C][/ROW]
[ROW][C]0.8[/C][C]31.7442705473811[/C][C]1.51833311637751[/C][/ROW]
[ROW][C]0.805[/C][C]31.9621307373735[/C][C]1.50850753351451[/C][/ROW]
[ROW][C]0.81[/C][C]32.1809200599372[/C][C]1.49698888373038[/C][/ROW]
[ROW][C]0.815[/C][C]32.4005445697679[/C][C]1.48467187184463[/C][/ROW]
[ROW][C]0.82[/C][C]32.621061032223[/C][C]1.47237531441125[/C][/ROW]
[ROW][C]0.825[/C][C]32.8426809058619[/C][C]1.46088092531231[/C][/ROW]
[ROW][C]0.83[/C][C]33.0657780833941[/C][C]1.45095720457103[/C][/ROW]
[ROW][C]0.835[/C][C]33.290899021996[/C][C]1.44346765327244[/C][/ROW]
[ROW][C]0.84[/C][C]33.5187713946041[/C][C]1.43951784741736[/C][/ROW]
[ROW][C]0.845[/C][C]33.7503054367925[/C][C]1.44024421653832[/C][/ROW]
[ROW][C]0.85[/C][C]33.9865813785257[/C][C]1.44686704009841[/C][/ROW]
[ROW][C]0.855[/C][C]34.2288171691187[/C][C]1.46035373655690[/C][/ROW]
[ROW][C]0.86[/C][C]34.4783131929364[/C][C]1.48126531608587[/C][/ROW]
[ROW][C]0.865[/C][C]34.7363744251148[/C][C]1.50934467721445[/C][/ROW]
[ROW][C]0.87[/C][C]35.0042146258081[/C][C]1.54362495576917[/C][/ROW]
[ROW][C]0.875[/C][C]35.2828505750113[/C][C]1.58221952727113[/C][/ROW]
[ROW][C]0.88[/C][C]35.5729959290598[/C][C]1.62255033934977[/C][/ROW]
[ROW][C]0.885[/C][C]35.874963459797[/C][C]1.66162743242333[/C][/ROW]
[ROW][C]0.89[/C][C]36.1885815470776[/C][C]1.69622914458159[/C][/ROW]
[ROW][C]0.895[/C][C]36.5131272375898[/C][C]1.72332031072540[/C][/ROW]
[ROW][C]0.9[/C][C]36.8472761978462[/C][C]1.73998864963185[/C][/ROW]
[ROW][C]0.905[/C][C]37.1890718402224[/C][C]1.74360202542216[/C][/ROW]
[ROW][C]0.91[/C][C]37.5359232299824[/C][C]1.73169945587263[/C][/ROW]
[ROW][C]0.915[/C][C]37.8846536394589[/C][C]1.70202139484677[/C][/ROW]
[ROW][C]0.92[/C][C]38.2316361537093[/C][C]1.65265995680336[/C][/ROW]
[ROW][C]0.925[/C][C]38.5730654963606[/C][C]1.58256081481294[/C][/ROW]
[ROW][C]0.93[/C][C]38.9054224475497[/C][C]1.49237532256195[/C][/ROW]
[ROW][C]0.935[/C][C]39.2261863866095[/C][C]1.38526818645891[/C][/ROW]
[ROW][C]0.94[/C][C]39.5348389236965[/C][C]1.26794086657922[/C][/ROW]
[ROW][C]0.945[/C][C]39.8341633280472[/C][C]1.15171089779512[/C][/ROW]
[ROW][C]0.95[/C][C]40.131741767274[/C][C]1.05342531449324[/C][/ROW]
[ROW][C]0.955[/C][C]40.4413145439665[/C][C]0.996882605374137[/C][/ROW]
[ROW][C]0.96[/C][C]40.7832218032176[/C][C]1.01172705547830[/C][/ROW]
[ROW][C]0.965[/C][C]41.182542123905[/C][C]1.12286313622649[/C][/ROW]
[ROW][C]0.97[/C][C]41.6631364365424[/C][C]1.32810515208871[/C][/ROW]
[ROW][C]0.975[/C][C]42.2364457560157[/C][C]1.57627781690321[/C][/ROW]
[ROW][C]0.98[/C][C]42.8866672491967[/C][C]1.75723861631984[/C][/ROW]
[ROW][C]0.985[/C][C]43.5590727426879[/C][C]1.72025265815838[/C][/ROW]
[ROW][C]0.99[/C][C]44.1632334189198[/C][C]1.35205576498642[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18485&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18485&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
0.0114.11334966221510.133657619940322
0.01514.17886423959710.144860545559508
0.0214.2497314238680.183823939316588
0.02514.32673226880850.23523072889654
0.0314.41121461343370.284449825641472
0.03514.50276069702570.322051498745840
0.0414.59894512122720.343507066010989
0.04514.69618854253880.348291087844921
0.0514.79078398005350.338561415334126
0.05514.87963927812940.317937643101562
0.0614.96063842835710.290434470767419
0.06515.03269455189690.259787836348072
0.0715.09561106668100.229088217728671
0.07515.14985378942750.200595435302875
0.0815.19630660705820.175645987957030
0.08515.23605473390200.154819352200617
0.0915.27021750574150.138008690932269
0.09515.29983706336180.124699409030311
0.115.32581888526810.114202268141809
0.10515.34891391217370.105884025623305
0.1115.36972926430860.0992532075299078
0.11515.38875462727910.0940671242893003
0.1215.40639346861130.0902471991728651
0.12515.42299142557020.087835543677728
0.1315.43885760078620.0869216031970988
0.13515.45427744833800.0875985114505713
0.1415.46951805292890.0898362374715208
0.14515.48482780391630.0935533699273497
0.1515.50043285715600.0986005750956833
0.15515.51653258505540.104777166659128
0.1615.53329568862070.111844411335939
0.16515.55085800203510.119569845886878
0.1715.56932241756940.127778680288836
0.17515.58876088856790.136271341330574
0.1815.60921816719400.144933246898061
0.18515.63071679676660.153630845262848
0.1915.65326287509070.162340027446400
0.19515.67685219139930.171008088578092
0.215.70147646880580.179692621901282
0.20515.72712957473400.188375123559877
0.2115.75381366184560.197201103677298
0.21515.78154525265180.20628140857505
0.2215.81036127699750.2158148606479
0.22515.84032501976690.226045607387640
0.2315.87153185218380.237238224637093
0.23515.90411452425120.249742989559064
0.2415.93824770861270.264013460681803
0.24515.97415142422450.280434804412436
0.2516.01209294255500.299424245115297
0.25516.05238679378660.321518825837549
0.2616.09539254405470.3470442226291
0.26516.14151010154030.376319589189024
0.2716.19117242189340.40965460752496
0.27516.24483561475580.447176308364885
0.2816.30296659701100.488905596551969
0.28516.36602858994010.534758306042402
0.2916.434464912190.584493942021067
0.29516.50868167285950.637711111321737
0.316.58903011130630.693757497312982
0.30516.67578945166690.751996096610855
0.3116.76915122700200.811595267249444
0.31516.86920606534710.871560740436253
0.3216.97593390341570.93086060560989
0.32517.08919849239100.988459154146417
0.3317.20874687946561.04331082072651
0.33517.33421429217771.09437964062058
0.3417.46513453315051.14083379477164
0.34517.60095563254671.18200491295430
0.3517.74106013362141.21733566835714
0.35517.88478903660011.24661705271099
0.3618.03146813150321.26972795050927
0.36518.18043524160341.28698146527319
0.3718.33106679859191.29887811369234
0.37518.48280219066731.30606868034265
0.3818.63516446609171.30945426473472
0.38518.78777622572771.31006417778056
0.3918.94036987624181.30892520956374
0.39519.09279181036791.30721728763587
0.419.24500049630411.30591610969018
0.40519.39705885843221.30606440526143
0.4119.54912168249911.30837481004356
0.41519.70141905288521.31344241390618
0.4219.85423700929801.32167613251153
0.42520.00789668725971.33324253036056
0.4320.16273318390751.34812014771141
0.43520.31907528038711.3659720764873
0.4420.47722697460431.38647637072920
0.44520.63745155815491.40907101461256
0.4520.79995873513791.43315426854043
0.45520.96489505259981.45808560365072
0.4621.1323377121081.48313184044102
0.46521.30229167206901.50767273267184
0.4721.47468983571671.53096221735259
0.47521.64939604743691.55248335539289
0.4821.82621058127681.57165211794849
0.48522.00487778725581.58801089297094
0.4922.18509554952261.60125487504918
0.49522.36652619344051.61096113731614
0.522.54880844856811.61704776886408
0.50522.73157002943221.61940237218266
0.5122.9144403405381.61807481545754
0.51523.09706275647221.61329991304506
0.5223.27910588624181.60535294859990
0.52523.46027321836481.59457288712114
0.5323.64031057305601.58146269926921
0.53523.81901086896961.56658482052927
0.5423.99621584654241.55037368723125
0.54524.17181457253001.53337600070655
0.5524.34573876791101.51602721321988
0.55524.51795523497271.49869921606739
0.5624.68845588655711.48163249040516
0.56524.85724607798421.46492848064653
0.5725.02433208949411.44855773898534
0.57525.1897086888171.43230313648891
0.5825.35334771153121.41583872178128
0.58525.51518853112101.39893506669037
0.5925.67513115876241.38107395402295
0.59525.83303252900831.36173524646212
0.625.98870631023061.34056684701266
0.60526.14192634831191.31715809334974
0.6126.29243362842211.29111050164993
0.61526.43994643969321.26240787455563
0.6226.58417326374391.23086519537997
0.62526.72482778756051.19658227302726
0.6326.86164536611261.15978467016010
0.63526.9944002273541.12087559763940
0.6427.12292271518731.08039467565095
0.64527.24711589527551.03895448927235
0.6527.36697089381120.99736737067461
0.65527.48258039023080.956545890201438
0.6627.59414973255020.917470932173591
0.66527.70200518227840.881158419762654
0.6727.80659882220370.848791896626347
0.67527.90850967680160.82147246818558
0.6828.00844060893650.800259969656334
0.68528.10721058067720.786315687313665
0.6928.20574191803050.780481175047025
0.69528.30504231992690.783524071540918
0.728.40618152170730.796006204280162
0.70528.51026277929710.817983762922944
0.7128.61838968944050.849345552134755
0.71528.73162929613180.889421953140277
0.7228.85097292674520.93730989965132
0.72528.97729670484810.991678573203882
0.7329.1113241319071.05094268488659
0.73529.25359343507061.11326471811388
0.7429.40443245850981.17671046545179
0.74529.56394365986981.23916993773835
0.7529.73200121987931.29871621115796
0.75529.90826138701261.35349387457241
0.7630.09218602272781.40198562076301
0.76530.28307800836841.44307900378744
0.7730.48012589495751.47594695361602
0.77530.68245412295331.50048823497731
0.7830.88917450733491.51687065192198
0.78531.09943462708841.52577966548615
0.7931.31245934755461.52818435949434
0.79531.52758289691921.52529158127704
0.831.74427054738111.51833311637751
0.80531.96213073737351.50850753351451
0.8132.18092005993721.49698888373038
0.81532.40054456976791.48467187184463
0.8232.6210610322231.47237531441125
0.82532.84268090586191.46088092531231
0.8333.06577808339411.45095720457103
0.83533.2908990219961.44346765327244
0.8433.51877139460411.43951784741736
0.84533.75030543679251.44024421653832
0.8533.98658137852571.44686704009841
0.85534.22881716911871.46035373655690
0.8634.47831319293641.48126531608587
0.86534.73637442511481.50934467721445
0.8735.00421462580811.54362495576917
0.87535.28285057501131.58221952727113
0.8835.57299592905981.62255033934977
0.88535.8749634597971.66162743242333
0.8936.18858154707761.69622914458159
0.89536.51312723758981.72332031072540
0.936.84727619784621.73998864963185
0.90537.18907184022241.74360202542216
0.9137.53592322998241.73169945587263
0.91537.88465363945891.70202139484677
0.9238.23163615370931.65265995680336
0.92538.57306549636061.58256081481294
0.9338.90542244754971.49237532256195
0.93539.22618638660951.38526818645891
0.9439.53483892369651.26794086657922
0.94539.83416332804721.15171089779512
0.9540.1317417672741.05342531449324
0.95540.44131454396650.996882605374137
0.9640.78322180321761.01172705547830
0.96541.1825421239051.12286313622649
0.9741.66313643654241.32810515208871
0.97542.23644575601571.57627781690321
0.9842.88666724919671.75723861631984
0.98543.55907274268791.72025265815838
0.9944.16323341891981.35205576498642


Figures (Output of Computation)

Input Parameters & R Code

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