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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 computationSat, 05 Oct 2013 08:36:32 -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/05/t1380976612j3jbs351na597u7.htm/, Retrieved Thu, 02 May 2024 16:49:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213300, Retrieved Thu, 02 May 2024 16:49:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

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] [] [2013-10-05 12:36:32] [c022b39ff2bb06cc8d15c2aa42c6729c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26.73
26.85
27.01
27.09
27.11
27.16
27.13
27.19
27.49
27.63
27.72
27.77
27.81
27.92
28.07
28.14
28.17
28.20
28.21
28.20
28.19
28.24
28.25
28.26
28.33
28.67
28.81
28.99
29.16
29.25
29.25
29.38
29.48
29.65
29.69
29.73
29.81
30.05
30.29
30.37
30.50
30.67
30.76
30.84
30.86
31.09
31.20
31.19
31.18
31.31
31.39
31.39
31.37
31.36
31.37
31.35
31.34
31.47
31.48
31.54
31.55
31.55
31.57
31.66
31.74
31.78
31.80
31.68
31.70
31.70
31.75
31.73
31.82
31.90
31.82
31.51
31.42
30.97
30.99
30.92
30.95
30.82
30.72
30.73

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213300&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213300&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0126.78543287812220.125890624092641
0.0226.87100083031890.131970739077008
0.0326.95598398452920.123241902459921
0.0427.02783504448710.110212592779498
0.0527.08812518089050.111396893253222
0.0627.14415109522980.13406642801354
0.0727.20333586471580.171383267647214
0.0827.27031778819940.212102819166078
0.0927.3461382081790.246560056344198
0.127.42890042198720.269033911085413
0.1127.51514202686150.278185546685753
0.1227.60121202187850.276334276785417
0.1327.68418844260210.267244592430319
0.1427.76220392202020.254367014903166
0.1527.83432155892950.239614768346679
0.1627.90022452080610.223756589141257
0.1727.95994812740850.206985402167776
0.1828.01376405906390.189945204066893
0.1928.06220708377610.174096605647727
0.228.10616651407270.161733091242713
0.2128.14695519363750.155713085921285
0.2228.18629790331420.158694534920025
0.2328.2262220908370.172255146486872
0.2428.26886807177470.196248793301624
0.2528.31625604121690.22906477039344
0.2628.37005410620760.268033442527127
0.2728.43138873764440.310035674941668
0.2828.50072976328150.351727502059246
0.2928.57786832475890.390037212482706
0.328.66198982047820.42242251738321
0.3128.75182710930760.447343763340184
0.3228.84586526874170.464242204474691
0.3328.94256104093680.473720151678624
0.3429.04053959878030.477145270826615
0.3529.13873825844750.476552990404039
0.3629.23647912249470.47410019410216
0.3729.33346705812450.471693251237094
0.3829.42972257411570.47066501151722
0.3929.52546866901620.471713897871831
0.429.62099556050360.474557503221912
0.4129.71652757217480.47844545523957
0.4229.81211328045310.481948310184073
0.4329.90755444830820.483499202630434
0.4430.0023823208690.481494844497149
0.4530.09588239413950.474718356612078
0.4630.18716159861530.462360260543028
0.4730.27524581071620.444300823471925
0.4830.35919156380430.421008348781184
0.4930.4381944417540.393494289862954
0.530.5116781472010.363247410440023
0.5130.57935231498420.331958884560277
0.5230.64123290882760.301326734474365
0.5330.6976252775890.272958282466073
0.5430.74907542738880.247996995084822
0.5530.79629886807950.227303424879633
0.5630.84009810682620.211190098746745
0.5730.88127961082210.199445875161685
0.5830.92057936217770.19153771544087
0.5930.95860366295870.186504481107178
0.630.99578923834390.183306450275288
0.6131.03238434183580.180893091388766
0.6231.06845064837020.178213358961693
0.6331.10388419158010.174566999647252
0.6431.13845232900020.169300863835333
0.6531.17184258370630.162182686003047
0.6631.20371817824360.153220805575482
0.6731.23377422887170.142734987377962
0.6831.26178809550830.131199280644344
0.6931.28765754172450.119314915675341
0.731.31142140006680.107858130333583
0.7131.33325950785880.0975351673207105
0.7231.35347171432840.0889793572926823
0.7331.37243940300380.0825663195104804
0.7431.3905765478750.078342064300911
0.7531.40827991236150.0760931702723118
0.7631.42588864722370.0753261725788303
0.7731.44366154480790.0754569690734427
0.7831.46177547359430.0760147724097263
0.7931.48034188848840.0766561057044531
0.831.49943167228650.077306917523956
0.8131.51909455399970.0779945016947508
0.8231.5393605238270.078758639263906
0.8331.56021815048120.0794643766193865
0.8431.5815768730210.0797709403215471
0.8531.60323238529450.079122149082926
0.8631.62485960189290.0769594494603825
0.8731.64605136878240.0729573756508625
0.8831.66640322229720.0672485733375495
0.8931.68562180795740.0604486350324658
0.931.70361746037260.0534964426967268
0.9131.720538334520.0473731833262704
0.9231.73671708886250.0427293356818858
0.9331.75253234091780.0395470855269972
0.9431.76824729675030.0370608673534879
0.9531.78400419119920.0341292201267519
0.9631.80029702194160.030276813203596
0.9731.81903945565030.0280610638145102
0.9831.84377453415120.035868075852409
0.9931.87488185141560.0575929272908304

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 26.7854328781222 & 0.125890624092641 \tabularnewline
0.02 & 26.8710008303189 & 0.131970739077008 \tabularnewline
0.03 & 26.9559839845292 & 0.123241902459921 \tabularnewline
0.04 & 27.0278350444871 & 0.110212592779498 \tabularnewline
0.05 & 27.0881251808905 & 0.111396893253222 \tabularnewline
0.06 & 27.1441510952298 & 0.13406642801354 \tabularnewline
0.07 & 27.2033358647158 & 0.171383267647214 \tabularnewline
0.08 & 27.2703177881994 & 0.212102819166078 \tabularnewline
0.09 & 27.346138208179 & 0.246560056344198 \tabularnewline
0.1 & 27.4289004219872 & 0.269033911085413 \tabularnewline
0.11 & 27.5151420268615 & 0.278185546685753 \tabularnewline
0.12 & 27.6012120218785 & 0.276334276785417 \tabularnewline
0.13 & 27.6841884426021 & 0.267244592430319 \tabularnewline
0.14 & 27.7622039220202 & 0.254367014903166 \tabularnewline
0.15 & 27.8343215589295 & 0.239614768346679 \tabularnewline
0.16 & 27.9002245208061 & 0.223756589141257 \tabularnewline
0.17 & 27.9599481274085 & 0.206985402167776 \tabularnewline
0.18 & 28.0137640590639 & 0.189945204066893 \tabularnewline
0.19 & 28.0622070837761 & 0.174096605647727 \tabularnewline
0.2 & 28.1061665140727 & 0.161733091242713 \tabularnewline
0.21 & 28.1469551936375 & 0.155713085921285 \tabularnewline
0.22 & 28.1862979033142 & 0.158694534920025 \tabularnewline
0.23 & 28.226222090837 & 0.172255146486872 \tabularnewline
0.24 & 28.2688680717747 & 0.196248793301624 \tabularnewline
0.25 & 28.3162560412169 & 0.22906477039344 \tabularnewline
0.26 & 28.3700541062076 & 0.268033442527127 \tabularnewline
0.27 & 28.4313887376444 & 0.310035674941668 \tabularnewline
0.28 & 28.5007297632815 & 0.351727502059246 \tabularnewline
0.29 & 28.5778683247589 & 0.390037212482706 \tabularnewline
0.3 & 28.6619898204782 & 0.42242251738321 \tabularnewline
0.31 & 28.7518271093076 & 0.447343763340184 \tabularnewline
0.32 & 28.8458652687417 & 0.464242204474691 \tabularnewline
0.33 & 28.9425610409368 & 0.473720151678624 \tabularnewline
0.34 & 29.0405395987803 & 0.477145270826615 \tabularnewline
0.35 & 29.1387382584475 & 0.476552990404039 \tabularnewline
0.36 & 29.2364791224947 & 0.47410019410216 \tabularnewline
0.37 & 29.3334670581245 & 0.471693251237094 \tabularnewline
0.38 & 29.4297225741157 & 0.47066501151722 \tabularnewline
0.39 & 29.5254686690162 & 0.471713897871831 \tabularnewline
0.4 & 29.6209955605036 & 0.474557503221912 \tabularnewline
0.41 & 29.7165275721748 & 0.47844545523957 \tabularnewline
0.42 & 29.8121132804531 & 0.481948310184073 \tabularnewline
0.43 & 29.9075544483082 & 0.483499202630434 \tabularnewline
0.44 & 30.002382320869 & 0.481494844497149 \tabularnewline
0.45 & 30.0958823941395 & 0.474718356612078 \tabularnewline
0.46 & 30.1871615986153 & 0.462360260543028 \tabularnewline
0.47 & 30.2752458107162 & 0.444300823471925 \tabularnewline
0.48 & 30.3591915638043 & 0.421008348781184 \tabularnewline
0.49 & 30.438194441754 & 0.393494289862954 \tabularnewline
0.5 & 30.511678147201 & 0.363247410440023 \tabularnewline
0.51 & 30.5793523149842 & 0.331958884560277 \tabularnewline
0.52 & 30.6412329088276 & 0.301326734474365 \tabularnewline
0.53 & 30.697625277589 & 0.272958282466073 \tabularnewline
0.54 & 30.7490754273888 & 0.247996995084822 \tabularnewline
0.55 & 30.7962988680795 & 0.227303424879633 \tabularnewline
0.56 & 30.8400981068262 & 0.211190098746745 \tabularnewline
0.57 & 30.8812796108221 & 0.199445875161685 \tabularnewline
0.58 & 30.9205793621777 & 0.19153771544087 \tabularnewline
0.59 & 30.9586036629587 & 0.186504481107178 \tabularnewline
0.6 & 30.9957892383439 & 0.183306450275288 \tabularnewline
0.61 & 31.0323843418358 & 0.180893091388766 \tabularnewline
0.62 & 31.0684506483702 & 0.178213358961693 \tabularnewline
0.63 & 31.1038841915801 & 0.174566999647252 \tabularnewline
0.64 & 31.1384523290002 & 0.169300863835333 \tabularnewline
0.65 & 31.1718425837063 & 0.162182686003047 \tabularnewline
0.66 & 31.2037181782436 & 0.153220805575482 \tabularnewline
0.67 & 31.2337742288717 & 0.142734987377962 \tabularnewline
0.68 & 31.2617880955083 & 0.131199280644344 \tabularnewline
0.69 & 31.2876575417245 & 0.119314915675341 \tabularnewline
0.7 & 31.3114214000668 & 0.107858130333583 \tabularnewline
0.71 & 31.3332595078588 & 0.0975351673207105 \tabularnewline
0.72 & 31.3534717143284 & 0.0889793572926823 \tabularnewline
0.73 & 31.3724394030038 & 0.0825663195104804 \tabularnewline
0.74 & 31.390576547875 & 0.078342064300911 \tabularnewline
0.75 & 31.4082799123615 & 0.0760931702723118 \tabularnewline
0.76 & 31.4258886472237 & 0.0753261725788303 \tabularnewline
0.77 & 31.4436615448079 & 0.0754569690734427 \tabularnewline
0.78 & 31.4617754735943 & 0.0760147724097263 \tabularnewline
0.79 & 31.4803418884884 & 0.0766561057044531 \tabularnewline
0.8 & 31.4994316722865 & 0.077306917523956 \tabularnewline
0.81 & 31.5190945539997 & 0.0779945016947508 \tabularnewline
0.82 & 31.539360523827 & 0.078758639263906 \tabularnewline
0.83 & 31.5602181504812 & 0.0794643766193865 \tabularnewline
0.84 & 31.581576873021 & 0.0797709403215471 \tabularnewline
0.85 & 31.6032323852945 & 0.079122149082926 \tabularnewline
0.86 & 31.6248596018929 & 0.0769594494603825 \tabularnewline
0.87 & 31.6460513687824 & 0.0729573756508625 \tabularnewline
0.88 & 31.6664032222972 & 0.0672485733375495 \tabularnewline
0.89 & 31.6856218079574 & 0.0604486350324658 \tabularnewline
0.9 & 31.7036174603726 & 0.0534964426967268 \tabularnewline
0.91 & 31.72053833452 & 0.0473731833262704 \tabularnewline
0.92 & 31.7367170888625 & 0.0427293356818858 \tabularnewline
0.93 & 31.7525323409178 & 0.0395470855269972 \tabularnewline
0.94 & 31.7682472967503 & 0.0370608673534879 \tabularnewline
0.95 & 31.7840041911992 & 0.0341292201267519 \tabularnewline
0.96 & 31.8002970219416 & 0.030276813203596 \tabularnewline
0.97 & 31.8190394556503 & 0.0280610638145102 \tabularnewline
0.98 & 31.8437745341512 & 0.035868075852409 \tabularnewline
0.99 & 31.8748818514156 & 0.0575929272908304 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213300&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]26.7854328781222[/C][C]0.125890624092641[/C][/ROW]
[ROW][C]0.02[/C][C]26.8710008303189[/C][C]0.131970739077008[/C][/ROW]
[ROW][C]0.03[/C][C]26.9559839845292[/C][C]0.123241902459921[/C][/ROW]
[ROW][C]0.04[/C][C]27.0278350444871[/C][C]0.110212592779498[/C][/ROW]
[ROW][C]0.05[/C][C]27.0881251808905[/C][C]0.111396893253222[/C][/ROW]
[ROW][C]0.06[/C][C]27.1441510952298[/C][C]0.13406642801354[/C][/ROW]
[ROW][C]0.07[/C][C]27.2033358647158[/C][C]0.171383267647214[/C][/ROW]
[ROW][C]0.08[/C][C]27.2703177881994[/C][C]0.212102819166078[/C][/ROW]
[ROW][C]0.09[/C][C]27.346138208179[/C][C]0.246560056344198[/C][/ROW]
[ROW][C]0.1[/C][C]27.4289004219872[/C][C]0.269033911085413[/C][/ROW]
[ROW][C]0.11[/C][C]27.5151420268615[/C][C]0.278185546685753[/C][/ROW]
[ROW][C]0.12[/C][C]27.6012120218785[/C][C]0.276334276785417[/C][/ROW]
[ROW][C]0.13[/C][C]27.6841884426021[/C][C]0.267244592430319[/C][/ROW]
[ROW][C]0.14[/C][C]27.7622039220202[/C][C]0.254367014903166[/C][/ROW]
[ROW][C]0.15[/C][C]27.8343215589295[/C][C]0.239614768346679[/C][/ROW]
[ROW][C]0.16[/C][C]27.9002245208061[/C][C]0.223756589141257[/C][/ROW]
[ROW][C]0.17[/C][C]27.9599481274085[/C][C]0.206985402167776[/C][/ROW]
[ROW][C]0.18[/C][C]28.0137640590639[/C][C]0.189945204066893[/C][/ROW]
[ROW][C]0.19[/C][C]28.0622070837761[/C][C]0.174096605647727[/C][/ROW]
[ROW][C]0.2[/C][C]28.1061665140727[/C][C]0.161733091242713[/C][/ROW]
[ROW][C]0.21[/C][C]28.1469551936375[/C][C]0.155713085921285[/C][/ROW]
[ROW][C]0.22[/C][C]28.1862979033142[/C][C]0.158694534920025[/C][/ROW]
[ROW][C]0.23[/C][C]28.226222090837[/C][C]0.172255146486872[/C][/ROW]
[ROW][C]0.24[/C][C]28.2688680717747[/C][C]0.196248793301624[/C][/ROW]
[ROW][C]0.25[/C][C]28.3162560412169[/C][C]0.22906477039344[/C][/ROW]
[ROW][C]0.26[/C][C]28.3700541062076[/C][C]0.268033442527127[/C][/ROW]
[ROW][C]0.27[/C][C]28.4313887376444[/C][C]0.310035674941668[/C][/ROW]
[ROW][C]0.28[/C][C]28.5007297632815[/C][C]0.351727502059246[/C][/ROW]
[ROW][C]0.29[/C][C]28.5778683247589[/C][C]0.390037212482706[/C][/ROW]
[ROW][C]0.3[/C][C]28.6619898204782[/C][C]0.42242251738321[/C][/ROW]
[ROW][C]0.31[/C][C]28.7518271093076[/C][C]0.447343763340184[/C][/ROW]
[ROW][C]0.32[/C][C]28.8458652687417[/C][C]0.464242204474691[/C][/ROW]
[ROW][C]0.33[/C][C]28.9425610409368[/C][C]0.473720151678624[/C][/ROW]
[ROW][C]0.34[/C][C]29.0405395987803[/C][C]0.477145270826615[/C][/ROW]
[ROW][C]0.35[/C][C]29.1387382584475[/C][C]0.476552990404039[/C][/ROW]
[ROW][C]0.36[/C][C]29.2364791224947[/C][C]0.47410019410216[/C][/ROW]
[ROW][C]0.37[/C][C]29.3334670581245[/C][C]0.471693251237094[/C][/ROW]
[ROW][C]0.38[/C][C]29.4297225741157[/C][C]0.47066501151722[/C][/ROW]
[ROW][C]0.39[/C][C]29.5254686690162[/C][C]0.471713897871831[/C][/ROW]
[ROW][C]0.4[/C][C]29.6209955605036[/C][C]0.474557503221912[/C][/ROW]
[ROW][C]0.41[/C][C]29.7165275721748[/C][C]0.47844545523957[/C][/ROW]
[ROW][C]0.42[/C][C]29.8121132804531[/C][C]0.481948310184073[/C][/ROW]
[ROW][C]0.43[/C][C]29.9075544483082[/C][C]0.483499202630434[/C][/ROW]
[ROW][C]0.44[/C][C]30.002382320869[/C][C]0.481494844497149[/C][/ROW]
[ROW][C]0.45[/C][C]30.0958823941395[/C][C]0.474718356612078[/C][/ROW]
[ROW][C]0.46[/C][C]30.1871615986153[/C][C]0.462360260543028[/C][/ROW]
[ROW][C]0.47[/C][C]30.2752458107162[/C][C]0.444300823471925[/C][/ROW]
[ROW][C]0.48[/C][C]30.3591915638043[/C][C]0.421008348781184[/C][/ROW]
[ROW][C]0.49[/C][C]30.438194441754[/C][C]0.393494289862954[/C][/ROW]
[ROW][C]0.5[/C][C]30.511678147201[/C][C]0.363247410440023[/C][/ROW]
[ROW][C]0.51[/C][C]30.5793523149842[/C][C]0.331958884560277[/C][/ROW]
[ROW][C]0.52[/C][C]30.6412329088276[/C][C]0.301326734474365[/C][/ROW]
[ROW][C]0.53[/C][C]30.697625277589[/C][C]0.272958282466073[/C][/ROW]
[ROW][C]0.54[/C][C]30.7490754273888[/C][C]0.247996995084822[/C][/ROW]
[ROW][C]0.55[/C][C]30.7962988680795[/C][C]0.227303424879633[/C][/ROW]
[ROW][C]0.56[/C][C]30.8400981068262[/C][C]0.211190098746745[/C][/ROW]
[ROW][C]0.57[/C][C]30.8812796108221[/C][C]0.199445875161685[/C][/ROW]
[ROW][C]0.58[/C][C]30.9205793621777[/C][C]0.19153771544087[/C][/ROW]
[ROW][C]0.59[/C][C]30.9586036629587[/C][C]0.186504481107178[/C][/ROW]
[ROW][C]0.6[/C][C]30.9957892383439[/C][C]0.183306450275288[/C][/ROW]
[ROW][C]0.61[/C][C]31.0323843418358[/C][C]0.180893091388766[/C][/ROW]
[ROW][C]0.62[/C][C]31.0684506483702[/C][C]0.178213358961693[/C][/ROW]
[ROW][C]0.63[/C][C]31.1038841915801[/C][C]0.174566999647252[/C][/ROW]
[ROW][C]0.64[/C][C]31.1384523290002[/C][C]0.169300863835333[/C][/ROW]
[ROW][C]0.65[/C][C]31.1718425837063[/C][C]0.162182686003047[/C][/ROW]
[ROW][C]0.66[/C][C]31.2037181782436[/C][C]0.153220805575482[/C][/ROW]
[ROW][C]0.67[/C][C]31.2337742288717[/C][C]0.142734987377962[/C][/ROW]
[ROW][C]0.68[/C][C]31.2617880955083[/C][C]0.131199280644344[/C][/ROW]
[ROW][C]0.69[/C][C]31.2876575417245[/C][C]0.119314915675341[/C][/ROW]
[ROW][C]0.7[/C][C]31.3114214000668[/C][C]0.107858130333583[/C][/ROW]
[ROW][C]0.71[/C][C]31.3332595078588[/C][C]0.0975351673207105[/C][/ROW]
[ROW][C]0.72[/C][C]31.3534717143284[/C][C]0.0889793572926823[/C][/ROW]
[ROW][C]0.73[/C][C]31.3724394030038[/C][C]0.0825663195104804[/C][/ROW]
[ROW][C]0.74[/C][C]31.390576547875[/C][C]0.078342064300911[/C][/ROW]
[ROW][C]0.75[/C][C]31.4082799123615[/C][C]0.0760931702723118[/C][/ROW]
[ROW][C]0.76[/C][C]31.4258886472237[/C][C]0.0753261725788303[/C][/ROW]
[ROW][C]0.77[/C][C]31.4436615448079[/C][C]0.0754569690734427[/C][/ROW]
[ROW][C]0.78[/C][C]31.4617754735943[/C][C]0.0760147724097263[/C][/ROW]
[ROW][C]0.79[/C][C]31.4803418884884[/C][C]0.0766561057044531[/C][/ROW]
[ROW][C]0.8[/C][C]31.4994316722865[/C][C]0.077306917523956[/C][/ROW]
[ROW][C]0.81[/C][C]31.5190945539997[/C][C]0.0779945016947508[/C][/ROW]
[ROW][C]0.82[/C][C]31.539360523827[/C][C]0.078758639263906[/C][/ROW]
[ROW][C]0.83[/C][C]31.5602181504812[/C][C]0.0794643766193865[/C][/ROW]
[ROW][C]0.84[/C][C]31.581576873021[/C][C]0.0797709403215471[/C][/ROW]
[ROW][C]0.85[/C][C]31.6032323852945[/C][C]0.079122149082926[/C][/ROW]
[ROW][C]0.86[/C][C]31.6248596018929[/C][C]0.0769594494603825[/C][/ROW]
[ROW][C]0.87[/C][C]31.6460513687824[/C][C]0.0729573756508625[/C][/ROW]
[ROW][C]0.88[/C][C]31.6664032222972[/C][C]0.0672485733375495[/C][/ROW]
[ROW][C]0.89[/C][C]31.6856218079574[/C][C]0.0604486350324658[/C][/ROW]
[ROW][C]0.9[/C][C]31.7036174603726[/C][C]0.0534964426967268[/C][/ROW]
[ROW][C]0.91[/C][C]31.72053833452[/C][C]0.0473731833262704[/C][/ROW]
[ROW][C]0.92[/C][C]31.7367170888625[/C][C]0.0427293356818858[/C][/ROW]
[ROW][C]0.93[/C][C]31.7525323409178[/C][C]0.0395470855269972[/C][/ROW]
[ROW][C]0.94[/C][C]31.7682472967503[/C][C]0.0370608673534879[/C][/ROW]
[ROW][C]0.95[/C][C]31.7840041911992[/C][C]0.0341292201267519[/C][/ROW]
[ROW][C]0.96[/C][C]31.8002970219416[/C][C]0.030276813203596[/C][/ROW]
[ROW][C]0.97[/C][C]31.8190394556503[/C][C]0.0280610638145102[/C][/ROW]
[ROW][C]0.98[/C][C]31.8437745341512[/C][C]0.035868075852409[/C][/ROW]
[ROW][C]0.99[/C][C]31.8748818514156[/C][C]0.0575929272908304[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213300&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
0.0126.78543287812220.125890624092641
0.0226.87100083031890.131970739077008
0.0326.95598398452920.123241902459921
0.0427.02783504448710.110212592779498
0.0527.08812518089050.111396893253222
0.0627.14415109522980.13406642801354
0.0727.20333586471580.171383267647214
0.0827.27031778819940.212102819166078
0.0927.3461382081790.246560056344198
0.127.42890042198720.269033911085413
0.1127.51514202686150.278185546685753
0.1227.60121202187850.276334276785417
0.1327.68418844260210.267244592430319
0.1427.76220392202020.254367014903166
0.1527.83432155892950.239614768346679
0.1627.90022452080610.223756589141257
0.1727.95994812740850.206985402167776
0.1828.01376405906390.189945204066893
0.1928.06220708377610.174096605647727
0.228.10616651407270.161733091242713
0.2128.14695519363750.155713085921285
0.2228.18629790331420.158694534920025
0.2328.2262220908370.172255146486872
0.2428.26886807177470.196248793301624
0.2528.31625604121690.22906477039344
0.2628.37005410620760.268033442527127
0.2728.43138873764440.310035674941668
0.2828.50072976328150.351727502059246
0.2928.57786832475890.390037212482706
0.328.66198982047820.42242251738321
0.3128.75182710930760.447343763340184
0.3228.84586526874170.464242204474691
0.3328.94256104093680.473720151678624
0.3429.04053959878030.477145270826615
0.3529.13873825844750.476552990404039
0.3629.23647912249470.47410019410216
0.3729.33346705812450.471693251237094
0.3829.42972257411570.47066501151722
0.3929.52546866901620.471713897871831
0.429.62099556050360.474557503221912
0.4129.71652757217480.47844545523957
0.4229.81211328045310.481948310184073
0.4329.90755444830820.483499202630434
0.4430.0023823208690.481494844497149
0.4530.09588239413950.474718356612078
0.4630.18716159861530.462360260543028
0.4730.27524581071620.444300823471925
0.4830.35919156380430.421008348781184
0.4930.4381944417540.393494289862954
0.530.5116781472010.363247410440023
0.5130.57935231498420.331958884560277
0.5230.64123290882760.301326734474365
0.5330.6976252775890.272958282466073
0.5430.74907542738880.247996995084822
0.5530.79629886807950.227303424879633
0.5630.84009810682620.211190098746745
0.5730.88127961082210.199445875161685
0.5830.92057936217770.19153771544087
0.5930.95860366295870.186504481107178
0.630.99578923834390.183306450275288
0.6131.03238434183580.180893091388766
0.6231.06845064837020.178213358961693
0.6331.10388419158010.174566999647252
0.6431.13845232900020.169300863835333
0.6531.17184258370630.162182686003047
0.6631.20371817824360.153220805575482
0.6731.23377422887170.142734987377962
0.6831.26178809550830.131199280644344
0.6931.28765754172450.119314915675341
0.731.31142140006680.107858130333583
0.7131.33325950785880.0975351673207105
0.7231.35347171432840.0889793572926823
0.7331.37243940300380.0825663195104804
0.7431.3905765478750.078342064300911
0.7531.40827991236150.0760931702723118
0.7631.42588864722370.0753261725788303
0.7731.44366154480790.0754569690734427
0.7831.46177547359430.0760147724097263
0.7931.48034188848840.0766561057044531
0.831.49943167228650.077306917523956
0.8131.51909455399970.0779945016947508
0.8231.5393605238270.078758639263906
0.8331.56021815048120.0794643766193865
0.8431.5815768730210.0797709403215471
0.8531.60323238529450.079122149082926
0.8631.62485960189290.0769594494603825
0.8731.64605136878240.0729573756508625
0.8831.66640322229720.0672485733375495
0.8931.68562180795740.0604486350324658
0.931.70361746037260.0534964426967268
0.9131.720538334520.0473731833262704
0.9231.73671708886250.0427293356818858
0.9331.75253234091780.0395470855269972
0.9431.76824729675030.0370608673534879
0.9531.78400419119920.0341292201267519
0.9631.80029702194160.030276813203596
0.9731.81903945565030.0280610638145102
0.9831.84377453415120.035868075852409
0.9931.87488185141560.0575929272908304


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')