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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 computationWed, 01 Oct 2014 14:52:37 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/01/t1412171701dlnwjkru13nieh1.htm/, Retrieved Sun, 12 May 2024 16:48:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=237513, Retrieved Sun, 12 May 2024 16:48:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

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] [] [2014-10-01 13:52:37] [72d1b0bbc256d1ec09d716526c8fc98d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
37,3
39,5
40,6
41,4
41,3
43,5
44
44,9
46,4
47,4
48,7
49,7
51,1
53,2
56,2
58,1
60,6
64,1
67,4
68
70,9
72,8
74,9
76,1
77
78,1
80
79,7
82,7
84,3
83,5
85,9
87
88,6
90,6
91,3
91,6
93,2
95
95,2
97,4
98,6
99,6
100,6
101,3
102,8
103,2
103
105,4
104,7
105,2
105,2
102,8
100,3
99,8
99,4
100,6
100,2
100,4
98,8
96,9
96,3
96,1
93,5
92,1
91,7
87,9
86,4
84,9
81,7
82,6
83,1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237513&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237513&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237513&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0137.95944871252241.88205007610134
0.0238.90450542636821.55617003418416
0.0339.82448540365131.37389549190822
0.0440.62108794500321.37420796287538
0.0541.32853067824141.51729994203636
0.0642.00686177808851.73669293549933
0.0742.69741501444371.97692801363756
0.0843.4192467183452.21208955860867
0.0944.17823972330852.44257189439407
0.144.9760307725422.68249889999102
0.1145.81536136722022.94881193857549
0.1246.70202888134593.25556260881132
0.1347.64462087189573.61177523163244
0.1448.65316341789344.01994725262888
0.1549.73740831002664.47505044507931
0.1650.9051342533184.96404560642622
0.1752.16067611516255.46698263218674
0.1853.5038560965295.95986107942731
0.1954.92946038859636.41742293233194
0.256.42733036609196.81648945962039
0.2157.98303092653647.13804808734961
0.2259.57896043354077.36907666142162
0.2361.19570855373177.50318514431029
0.2462.81345906492347.54029798847966
0.2564.41326491171057.48617216548378
0.2665.97807505781187.35069174698983
0.2767.49345057161917.14682229660207
0.2868.94795927556516.88895283467648
0.2970.33327790885676.591533130504
0.371.6440561177386.26823520291193
0.3172.87760872997775.93100594896382
0.3274.03350448426845.59022415449834
0.3375.11311400500145.25362471973946
0.3476.11917015937024.92749281578617
0.3577.05538173658374.61639048406693
0.3677.92612739543974.3227549713534
0.3778.73624147167714.04911327536321
0.3879.49088743198643.79719520867095
0.3980.19550029834993.56882647959362
0.480.85576866098343.36637377868975
0.4181.47762219297173.19207548451902
0.4282.06719301083913.04817337098576
0.4382.63072823723162.93655005538892
0.4483.17444452302092.85767231009009
0.4583.70432992222012.81047723214886
0.4684.22591125135522.79202011414054
0.4784.74401366602022.79763872464652
0.4885.2625427300962.82134147151963
0.4985.78431801053522.85629271476232
0.586.31098215332292.89521036392295
0.5186.84300152161022.93127052769801
0.5287.37976457908982.958508379552
0.5387.91977283849972.97223518158769
0.5488.46090707863262.96969619496559
0.5589.00073995358062.95006291887889
0.5689.53685709826142.9143769071107
0.5790.06714480320182.86574694396034
0.5890.59000533889562.80809156920142
0.5991.10447176470672.74611240672832
0.691.61021121818822.68420056754629
0.6192.10742579559062.62538843423109
0.6292.59667839625862.57154153188089
0.6393.0786825619732.52226450249974
0.6493.554097302662.47654406498795
0.6594.02335990785992.43216990222591
0.6694.4865746473732.38677696266032
0.6794.94345817041452.33820972113643
0.6895.39332896452572.2846234260745
0.6995.83512262145472.22461454597859
0.796.26741809095292.15680098730355
0.7196.68847039592762.08030777107057
0.7297.09625771939581.99383011531737
0.7397.48855999151091.89663815984189
0.7497.86308821232571.7884276552124
0.7598.21767776986111.66993836154524
0.7698.5505469688431.54315953767947
0.7798.86060746060081.41167128943819
0.7899.14779917498011.28050879535507
0.7999.41340917298031.15602338743578
0.899.66031974372621.04563541490735
0.8199.89311484145060.957506622192792
0.82100.1179599274230.899213520418689
0.83100.3421725599340.876490601878575
0.84100.5734425087820.890305506722271
0.85100.8187614991020.934401461543796
0.86101.0832810755270.99580032101625
0.87101.3694813682211.05749642009638
0.88101.6770944148561.10330029674869
0.89102.0040458081611.12364151670586
0.9102.3481801969181.11970382462196
0.91102.7088320307371.10419852691558
0.92103.0867946967461.09332859624964
0.93103.4815535816381.09047465890637
0.94103.8862585863741.07275872647388
0.95104.2834714643950.99800923436672
0.96104.6464150228750.834793951268257
0.97104.9482517407930.596392972244822
0.98105.1742335907290.35435477880771
0.99105.3240194970530.213021185354052

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 37.9594487125224 & 1.88205007610134 \tabularnewline
0.02 & 38.9045054263682 & 1.55617003418416 \tabularnewline
0.03 & 39.8244854036513 & 1.37389549190822 \tabularnewline
0.04 & 40.6210879450032 & 1.37420796287538 \tabularnewline
0.05 & 41.3285306782414 & 1.51729994203636 \tabularnewline
0.06 & 42.0068617780885 & 1.73669293549933 \tabularnewline
0.07 & 42.6974150144437 & 1.97692801363756 \tabularnewline
0.08 & 43.419246718345 & 2.21208955860867 \tabularnewline
0.09 & 44.1782397233085 & 2.44257189439407 \tabularnewline
0.1 & 44.976030772542 & 2.68249889999102 \tabularnewline
0.11 & 45.8153613672202 & 2.94881193857549 \tabularnewline
0.12 & 46.7020288813459 & 3.25556260881132 \tabularnewline
0.13 & 47.6446208718957 & 3.61177523163244 \tabularnewline
0.14 & 48.6531634178934 & 4.01994725262888 \tabularnewline
0.15 & 49.7374083100266 & 4.47505044507931 \tabularnewline
0.16 & 50.905134253318 & 4.96404560642622 \tabularnewline
0.17 & 52.1606761151625 & 5.46698263218674 \tabularnewline
0.18 & 53.503856096529 & 5.95986107942731 \tabularnewline
0.19 & 54.9294603885963 & 6.41742293233194 \tabularnewline
0.2 & 56.4273303660919 & 6.81648945962039 \tabularnewline
0.21 & 57.9830309265364 & 7.13804808734961 \tabularnewline
0.22 & 59.5789604335407 & 7.36907666142162 \tabularnewline
0.23 & 61.1957085537317 & 7.50318514431029 \tabularnewline
0.24 & 62.8134590649234 & 7.54029798847966 \tabularnewline
0.25 & 64.4132649117105 & 7.48617216548378 \tabularnewline
0.26 & 65.9780750578118 & 7.35069174698983 \tabularnewline
0.27 & 67.4934505716191 & 7.14682229660207 \tabularnewline
0.28 & 68.9479592755651 & 6.88895283467648 \tabularnewline
0.29 & 70.3332779088567 & 6.591533130504 \tabularnewline
0.3 & 71.644056117738 & 6.26823520291193 \tabularnewline
0.31 & 72.8776087299777 & 5.93100594896382 \tabularnewline
0.32 & 74.0335044842684 & 5.59022415449834 \tabularnewline
0.33 & 75.1131140050014 & 5.25362471973946 \tabularnewline
0.34 & 76.1191701593702 & 4.92749281578617 \tabularnewline
0.35 & 77.0553817365837 & 4.61639048406693 \tabularnewline
0.36 & 77.9261273954397 & 4.3227549713534 \tabularnewline
0.37 & 78.7362414716771 & 4.04911327536321 \tabularnewline
0.38 & 79.4908874319864 & 3.79719520867095 \tabularnewline
0.39 & 80.1955002983499 & 3.56882647959362 \tabularnewline
0.4 & 80.8557686609834 & 3.36637377868975 \tabularnewline
0.41 & 81.4776221929717 & 3.19207548451902 \tabularnewline
0.42 & 82.0671930108391 & 3.04817337098576 \tabularnewline
0.43 & 82.6307282372316 & 2.93655005538892 \tabularnewline
0.44 & 83.1744445230209 & 2.85767231009009 \tabularnewline
0.45 & 83.7043299222201 & 2.81047723214886 \tabularnewline
0.46 & 84.2259112513552 & 2.79202011414054 \tabularnewline
0.47 & 84.7440136660202 & 2.79763872464652 \tabularnewline
0.48 & 85.262542730096 & 2.82134147151963 \tabularnewline
0.49 & 85.7843180105352 & 2.85629271476232 \tabularnewline
0.5 & 86.3109821533229 & 2.89521036392295 \tabularnewline
0.51 & 86.8430015216102 & 2.93127052769801 \tabularnewline
0.52 & 87.3797645790898 & 2.958508379552 \tabularnewline
0.53 & 87.9197728384997 & 2.97223518158769 \tabularnewline
0.54 & 88.4609070786326 & 2.96969619496559 \tabularnewline
0.55 & 89.0007399535806 & 2.95006291887889 \tabularnewline
0.56 & 89.5368570982614 & 2.9143769071107 \tabularnewline
0.57 & 90.0671448032018 & 2.86574694396034 \tabularnewline
0.58 & 90.5900053388956 & 2.80809156920142 \tabularnewline
0.59 & 91.1044717647067 & 2.74611240672832 \tabularnewline
0.6 & 91.6102112181882 & 2.68420056754629 \tabularnewline
0.61 & 92.1074257955906 & 2.62538843423109 \tabularnewline
0.62 & 92.5966783962586 & 2.57154153188089 \tabularnewline
0.63 & 93.078682561973 & 2.52226450249974 \tabularnewline
0.64 & 93.55409730266 & 2.47654406498795 \tabularnewline
0.65 & 94.0233599078599 & 2.43216990222591 \tabularnewline
0.66 & 94.486574647373 & 2.38677696266032 \tabularnewline
0.67 & 94.9434581704145 & 2.33820972113643 \tabularnewline
0.68 & 95.3933289645257 & 2.2846234260745 \tabularnewline
0.69 & 95.8351226214547 & 2.22461454597859 \tabularnewline
0.7 & 96.2674180909529 & 2.15680098730355 \tabularnewline
0.71 & 96.6884703959276 & 2.08030777107057 \tabularnewline
0.72 & 97.0962577193958 & 1.99383011531737 \tabularnewline
0.73 & 97.4885599915109 & 1.89663815984189 \tabularnewline
0.74 & 97.8630882123257 & 1.7884276552124 \tabularnewline
0.75 & 98.2176777698611 & 1.66993836154524 \tabularnewline
0.76 & 98.550546968843 & 1.54315953767947 \tabularnewline
0.77 & 98.8606074606008 & 1.41167128943819 \tabularnewline
0.78 & 99.1477991749801 & 1.28050879535507 \tabularnewline
0.79 & 99.4134091729803 & 1.15602338743578 \tabularnewline
0.8 & 99.6603197437262 & 1.04563541490735 \tabularnewline
0.81 & 99.8931148414506 & 0.957506622192792 \tabularnewline
0.82 & 100.117959927423 & 0.899213520418689 \tabularnewline
0.83 & 100.342172559934 & 0.876490601878575 \tabularnewline
0.84 & 100.573442508782 & 0.890305506722271 \tabularnewline
0.85 & 100.818761499102 & 0.934401461543796 \tabularnewline
0.86 & 101.083281075527 & 0.99580032101625 \tabularnewline
0.87 & 101.369481368221 & 1.05749642009638 \tabularnewline
0.88 & 101.677094414856 & 1.10330029674869 \tabularnewline
0.89 & 102.004045808161 & 1.12364151670586 \tabularnewline
0.9 & 102.348180196918 & 1.11970382462196 \tabularnewline
0.91 & 102.708832030737 & 1.10419852691558 \tabularnewline
0.92 & 103.086794696746 & 1.09332859624964 \tabularnewline
0.93 & 103.481553581638 & 1.09047465890637 \tabularnewline
0.94 & 103.886258586374 & 1.07275872647388 \tabularnewline
0.95 & 104.283471464395 & 0.99800923436672 \tabularnewline
0.96 & 104.646415022875 & 0.834793951268257 \tabularnewline
0.97 & 104.948251740793 & 0.596392972244822 \tabularnewline
0.98 & 105.174233590729 & 0.35435477880771 \tabularnewline
0.99 & 105.324019497053 & 0.213021185354052 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=237513&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]37.9594487125224[/C][C]1.88205007610134[/C][/ROW]
[ROW][C]0.02[/C][C]38.9045054263682[/C][C]1.55617003418416[/C][/ROW]
[ROW][C]0.03[/C][C]39.8244854036513[/C][C]1.37389549190822[/C][/ROW]
[ROW][C]0.04[/C][C]40.6210879450032[/C][C]1.37420796287538[/C][/ROW]
[ROW][C]0.05[/C][C]41.3285306782414[/C][C]1.51729994203636[/C][/ROW]
[ROW][C]0.06[/C][C]42.0068617780885[/C][C]1.73669293549933[/C][/ROW]
[ROW][C]0.07[/C][C]42.6974150144437[/C][C]1.97692801363756[/C][/ROW]
[ROW][C]0.08[/C][C]43.419246718345[/C][C]2.21208955860867[/C][/ROW]
[ROW][C]0.09[/C][C]44.1782397233085[/C][C]2.44257189439407[/C][/ROW]
[ROW][C]0.1[/C][C]44.976030772542[/C][C]2.68249889999102[/C][/ROW]
[ROW][C]0.11[/C][C]45.8153613672202[/C][C]2.94881193857549[/C][/ROW]
[ROW][C]0.12[/C][C]46.7020288813459[/C][C]3.25556260881132[/C][/ROW]
[ROW][C]0.13[/C][C]47.6446208718957[/C][C]3.61177523163244[/C][/ROW]
[ROW][C]0.14[/C][C]48.6531634178934[/C][C]4.01994725262888[/C][/ROW]
[ROW][C]0.15[/C][C]49.7374083100266[/C][C]4.47505044507931[/C][/ROW]
[ROW][C]0.16[/C][C]50.905134253318[/C][C]4.96404560642622[/C][/ROW]
[ROW][C]0.17[/C][C]52.1606761151625[/C][C]5.46698263218674[/C][/ROW]
[ROW][C]0.18[/C][C]53.503856096529[/C][C]5.95986107942731[/C][/ROW]
[ROW][C]0.19[/C][C]54.9294603885963[/C][C]6.41742293233194[/C][/ROW]
[ROW][C]0.2[/C][C]56.4273303660919[/C][C]6.81648945962039[/C][/ROW]
[ROW][C]0.21[/C][C]57.9830309265364[/C][C]7.13804808734961[/C][/ROW]
[ROW][C]0.22[/C][C]59.5789604335407[/C][C]7.36907666142162[/C][/ROW]
[ROW][C]0.23[/C][C]61.1957085537317[/C][C]7.50318514431029[/C][/ROW]
[ROW][C]0.24[/C][C]62.8134590649234[/C][C]7.54029798847966[/C][/ROW]
[ROW][C]0.25[/C][C]64.4132649117105[/C][C]7.48617216548378[/C][/ROW]
[ROW][C]0.26[/C][C]65.9780750578118[/C][C]7.35069174698983[/C][/ROW]
[ROW][C]0.27[/C][C]67.4934505716191[/C][C]7.14682229660207[/C][/ROW]
[ROW][C]0.28[/C][C]68.9479592755651[/C][C]6.88895283467648[/C][/ROW]
[ROW][C]0.29[/C][C]70.3332779088567[/C][C]6.591533130504[/C][/ROW]
[ROW][C]0.3[/C][C]71.644056117738[/C][C]6.26823520291193[/C][/ROW]
[ROW][C]0.31[/C][C]72.8776087299777[/C][C]5.93100594896382[/C][/ROW]
[ROW][C]0.32[/C][C]74.0335044842684[/C][C]5.59022415449834[/C][/ROW]
[ROW][C]0.33[/C][C]75.1131140050014[/C][C]5.25362471973946[/C][/ROW]
[ROW][C]0.34[/C][C]76.1191701593702[/C][C]4.92749281578617[/C][/ROW]
[ROW][C]0.35[/C][C]77.0553817365837[/C][C]4.61639048406693[/C][/ROW]
[ROW][C]0.36[/C][C]77.9261273954397[/C][C]4.3227549713534[/C][/ROW]
[ROW][C]0.37[/C][C]78.7362414716771[/C][C]4.04911327536321[/C][/ROW]
[ROW][C]0.38[/C][C]79.4908874319864[/C][C]3.79719520867095[/C][/ROW]
[ROW][C]0.39[/C][C]80.1955002983499[/C][C]3.56882647959362[/C][/ROW]
[ROW][C]0.4[/C][C]80.8557686609834[/C][C]3.36637377868975[/C][/ROW]
[ROW][C]0.41[/C][C]81.4776221929717[/C][C]3.19207548451902[/C][/ROW]
[ROW][C]0.42[/C][C]82.0671930108391[/C][C]3.04817337098576[/C][/ROW]
[ROW][C]0.43[/C][C]82.6307282372316[/C][C]2.93655005538892[/C][/ROW]
[ROW][C]0.44[/C][C]83.1744445230209[/C][C]2.85767231009009[/C][/ROW]
[ROW][C]0.45[/C][C]83.7043299222201[/C][C]2.81047723214886[/C][/ROW]
[ROW][C]0.46[/C][C]84.2259112513552[/C][C]2.79202011414054[/C][/ROW]
[ROW][C]0.47[/C][C]84.7440136660202[/C][C]2.79763872464652[/C][/ROW]
[ROW][C]0.48[/C][C]85.262542730096[/C][C]2.82134147151963[/C][/ROW]
[ROW][C]0.49[/C][C]85.7843180105352[/C][C]2.85629271476232[/C][/ROW]
[ROW][C]0.5[/C][C]86.3109821533229[/C][C]2.89521036392295[/C][/ROW]
[ROW][C]0.51[/C][C]86.8430015216102[/C][C]2.93127052769801[/C][/ROW]
[ROW][C]0.52[/C][C]87.3797645790898[/C][C]2.958508379552[/C][/ROW]
[ROW][C]0.53[/C][C]87.9197728384997[/C][C]2.97223518158769[/C][/ROW]
[ROW][C]0.54[/C][C]88.4609070786326[/C][C]2.96969619496559[/C][/ROW]
[ROW][C]0.55[/C][C]89.0007399535806[/C][C]2.95006291887889[/C][/ROW]
[ROW][C]0.56[/C][C]89.5368570982614[/C][C]2.9143769071107[/C][/ROW]
[ROW][C]0.57[/C][C]90.0671448032018[/C][C]2.86574694396034[/C][/ROW]
[ROW][C]0.58[/C][C]90.5900053388956[/C][C]2.80809156920142[/C][/ROW]
[ROW][C]0.59[/C][C]91.1044717647067[/C][C]2.74611240672832[/C][/ROW]
[ROW][C]0.6[/C][C]91.6102112181882[/C][C]2.68420056754629[/C][/ROW]
[ROW][C]0.61[/C][C]92.1074257955906[/C][C]2.62538843423109[/C][/ROW]
[ROW][C]0.62[/C][C]92.5966783962586[/C][C]2.57154153188089[/C][/ROW]
[ROW][C]0.63[/C][C]93.078682561973[/C][C]2.52226450249974[/C][/ROW]
[ROW][C]0.64[/C][C]93.55409730266[/C][C]2.47654406498795[/C][/ROW]
[ROW][C]0.65[/C][C]94.0233599078599[/C][C]2.43216990222591[/C][/ROW]
[ROW][C]0.66[/C][C]94.486574647373[/C][C]2.38677696266032[/C][/ROW]
[ROW][C]0.67[/C][C]94.9434581704145[/C][C]2.33820972113643[/C][/ROW]
[ROW][C]0.68[/C][C]95.3933289645257[/C][C]2.2846234260745[/C][/ROW]
[ROW][C]0.69[/C][C]95.8351226214547[/C][C]2.22461454597859[/C][/ROW]
[ROW][C]0.7[/C][C]96.2674180909529[/C][C]2.15680098730355[/C][/ROW]
[ROW][C]0.71[/C][C]96.6884703959276[/C][C]2.08030777107057[/C][/ROW]
[ROW][C]0.72[/C][C]97.0962577193958[/C][C]1.99383011531737[/C][/ROW]
[ROW][C]0.73[/C][C]97.4885599915109[/C][C]1.89663815984189[/C][/ROW]
[ROW][C]0.74[/C][C]97.8630882123257[/C][C]1.7884276552124[/C][/ROW]
[ROW][C]0.75[/C][C]98.2176777698611[/C][C]1.66993836154524[/C][/ROW]
[ROW][C]0.76[/C][C]98.550546968843[/C][C]1.54315953767947[/C][/ROW]
[ROW][C]0.77[/C][C]98.8606074606008[/C][C]1.41167128943819[/C][/ROW]
[ROW][C]0.78[/C][C]99.1477991749801[/C][C]1.28050879535507[/C][/ROW]
[ROW][C]0.79[/C][C]99.4134091729803[/C][C]1.15602338743578[/C][/ROW]
[ROW][C]0.8[/C][C]99.6603197437262[/C][C]1.04563541490735[/C][/ROW]
[ROW][C]0.81[/C][C]99.8931148414506[/C][C]0.957506622192792[/C][/ROW]
[ROW][C]0.82[/C][C]100.117959927423[/C][C]0.899213520418689[/C][/ROW]
[ROW][C]0.83[/C][C]100.342172559934[/C][C]0.876490601878575[/C][/ROW]
[ROW][C]0.84[/C][C]100.573442508782[/C][C]0.890305506722271[/C][/ROW]
[ROW][C]0.85[/C][C]100.818761499102[/C][C]0.934401461543796[/C][/ROW]
[ROW][C]0.86[/C][C]101.083281075527[/C][C]0.99580032101625[/C][/ROW]
[ROW][C]0.87[/C][C]101.369481368221[/C][C]1.05749642009638[/C][/ROW]
[ROW][C]0.88[/C][C]101.677094414856[/C][C]1.10330029674869[/C][/ROW]
[ROW][C]0.89[/C][C]102.004045808161[/C][C]1.12364151670586[/C][/ROW]
[ROW][C]0.9[/C][C]102.348180196918[/C][C]1.11970382462196[/C][/ROW]
[ROW][C]0.91[/C][C]102.708832030737[/C][C]1.10419852691558[/C][/ROW]
[ROW][C]0.92[/C][C]103.086794696746[/C][C]1.09332859624964[/C][/ROW]
[ROW][C]0.93[/C][C]103.481553581638[/C][C]1.09047465890637[/C][/ROW]
[ROW][C]0.94[/C][C]103.886258586374[/C][C]1.07275872647388[/C][/ROW]
[ROW][C]0.95[/C][C]104.283471464395[/C][C]0.99800923436672[/C][/ROW]
[ROW][C]0.96[/C][C]104.646415022875[/C][C]0.834793951268257[/C][/ROW]
[ROW][C]0.97[/C][C]104.948251740793[/C][C]0.596392972244822[/C][/ROW]
[ROW][C]0.98[/C][C]105.174233590729[/C][C]0.35435477880771[/C][/ROW]
[ROW][C]0.99[/C][C]105.324019497053[/C][C]0.213021185354052[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=237513&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=237513&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
0.0137.95944871252241.88205007610134
0.0238.90450542636821.55617003418416
0.0339.82448540365131.37389549190822
0.0440.62108794500321.37420796287538
0.0541.32853067824141.51729994203636
0.0642.00686177808851.73669293549933
0.0742.69741501444371.97692801363756
0.0843.4192467183452.21208955860867
0.0944.17823972330852.44257189439407
0.144.9760307725422.68249889999102
0.1145.81536136722022.94881193857549
0.1246.70202888134593.25556260881132
0.1347.64462087189573.61177523163244
0.1448.65316341789344.01994725262888
0.1549.73740831002664.47505044507931
0.1650.9051342533184.96404560642622
0.1752.16067611516255.46698263218674
0.1853.5038560965295.95986107942731
0.1954.92946038859636.41742293233194
0.256.42733036609196.81648945962039
0.2157.98303092653647.13804808734961
0.2259.57896043354077.36907666142162
0.2361.19570855373177.50318514431029
0.2462.81345906492347.54029798847966
0.2564.41326491171057.48617216548378
0.2665.97807505781187.35069174698983
0.2767.49345057161917.14682229660207
0.2868.94795927556516.88895283467648
0.2970.33327790885676.591533130504
0.371.6440561177386.26823520291193
0.3172.87760872997775.93100594896382
0.3274.03350448426845.59022415449834
0.3375.11311400500145.25362471973946
0.3476.11917015937024.92749281578617
0.3577.05538173658374.61639048406693
0.3677.92612739543974.3227549713534
0.3778.73624147167714.04911327536321
0.3879.49088743198643.79719520867095
0.3980.19550029834993.56882647959362
0.480.85576866098343.36637377868975
0.4181.47762219297173.19207548451902
0.4282.06719301083913.04817337098576
0.4382.63072823723162.93655005538892
0.4483.17444452302092.85767231009009
0.4583.70432992222012.81047723214886
0.4684.22591125135522.79202011414054
0.4784.74401366602022.79763872464652
0.4885.2625427300962.82134147151963
0.4985.78431801053522.85629271476232
0.586.31098215332292.89521036392295
0.5186.84300152161022.93127052769801
0.5287.37976457908982.958508379552
0.5387.91977283849972.97223518158769
0.5488.46090707863262.96969619496559
0.5589.00073995358062.95006291887889
0.5689.53685709826142.9143769071107
0.5790.06714480320182.86574694396034
0.5890.59000533889562.80809156920142
0.5991.10447176470672.74611240672832
0.691.61021121818822.68420056754629
0.6192.10742579559062.62538843423109
0.6292.59667839625862.57154153188089
0.6393.0786825619732.52226450249974
0.6493.554097302662.47654406498795
0.6594.02335990785992.43216990222591
0.6694.4865746473732.38677696266032
0.6794.94345817041452.33820972113643
0.6895.39332896452572.2846234260745
0.6995.83512262145472.22461454597859
0.796.26741809095292.15680098730355
0.7196.68847039592762.08030777107057
0.7297.09625771939581.99383011531737
0.7397.48855999151091.89663815984189
0.7497.86308821232571.7884276552124
0.7598.21767776986111.66993836154524
0.7698.5505469688431.54315953767947
0.7798.86060746060081.41167128943819
0.7899.14779917498011.28050879535507
0.7999.41340917298031.15602338743578
0.899.66031974372621.04563541490735
0.8199.89311484145060.957506622192792
0.82100.1179599274230.899213520418689
0.83100.3421725599340.876490601878575
0.84100.5734425087820.890305506722271
0.85100.8187614991020.934401461543796
0.86101.0832810755270.99580032101625
0.87101.3694813682211.05749642009638
0.88101.6770944148561.10330029674869
0.89102.0040458081611.12364151670586
0.9102.3481801969181.11970382462196
0.91102.7088320307371.10419852691558
0.92103.0867946967461.09332859624964
0.93103.4815535816381.09047465890637
0.94103.8862585863741.07275872647388
0.95104.2834714643950.99800923436672
0.96104.6464150228750.834793951268257
0.97104.9482517407930.596392972244822
0.98105.1742335907290.35435477880771
0.99105.3240194970530.213021185354052


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')