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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 computationThu, 14 Oct 2010 15:02:00 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/14/t1287068619svc6l70pn41nvxo.htm/, Retrieved Thu, 02 May 2024 06:37:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=83304, Retrieved Thu, 02 May 2024 06:37:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact114

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] [Eigen reeks opgav...] [2010-10-14 15:02:00] [465c6c9df074117d1de4b3f3c25f0c87] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
132
131,4
132,7
130,9
126
109,7
68,3
70,6
75,3
74,1
74,9
74
74,2
76
76,2
74,9
74,1
76,5
57,8
59,2
57,3
57,5
60,4
59,9
59,9
60
60,2
65,4
62,4
78,8
65,6
64,4
67,4
65,3
66,7
66,8
69,4
71,7
77,1
81,1
82,1
92,1
77,1
78,2
77,7
77,3
78,5
78,8
78,7
79,8
82,2
84
81,7
77,6
64,3
72,6
73,8
73,8
70,1
70
72,3
72,1
73,3
79,1
77
76,1
66,4
72,7
73,2
70,7
73,6
74,2
72,6
73,6
79,1
79,6
78
85,4
82
91,9
89,4
92,1
93,8
93,6
95,6
99,9
103,7
99,2
93,7
93,5
80,7
91,8
105,8
111,3
110,3
109,4
111,4
111,6
111,8
106,6
104,3
105,5
98,5
108,5
106
101,8
101,3
92,4
88,9
84,9
86,4
90,7
86,8
90,6
88,3
95,4
93,6
91,3
91,3
89,3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83304&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83304&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83304&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0157.56343374841090.493707346957607
0.0258.13283211184930.908267141393176
0.0358.83783844256251.01572125173914
0.0459.51436643050.985667541707097
0.0560.14417629641131.15344442558427
0.0660.81121568029081.53210044923010
0.0761.58066832882641.91357731064410
0.0862.44218887593092.13139141916569
0.0963.3322264571892.14478395783230
0.164.18414455104932.02266410197683
0.1164.9623691745311.87518581480479
0.1265.6675757339651.78613280104699
0.1366.32250305654511.7813299207151
0.1466.95373507495311.83758450533838
0.1567.57935874508011.91211927299054
0.1668.20488442049321.96642562679778
0.1768.82525818854481.97731794768566
0.1869.42958703697731.93843620860190
0.1970.00585948240011.85582861391132
0.270.54419368686111.74159452251977
0.2171.03829594510261.60876016573352
0.2271.48554707511341.46857389029775
0.2371.88637513126851.32962097418086
0.2472.24345034022331.19891749956639
0.2572.56098570870811.08111768500241
0.2672.84422655794860.980421475444884
0.2773.0991158655130.899855711605945
0.2873.33208787526520.842177161978708
0.2973.54991988273360.809443866645842
0.373.7595525629590.803854386248143
0.3173.96779525772270.825059304526944
0.3274.18088144609970.87046859931734
0.3374.40391947601190.933480577607747
0.3474.64035879041661.00603956436617
0.3574.89162494222251.07825598252962
0.3675.15704977360151.14146341263676
0.3775.43414588650561.18898463830394
0.3875.71917772629391.21705024454868
0.3976.00790216584961.22567466632811
0.476.29631688550521.21793766978212
0.4176.58127326325321.19857159517155
0.4276.86086967830781.17422788400351
0.4377.13461529130881.15073420428038
0.4477.40341535649261.13402354634333
0.4577.66945736928241.12937195260236
0.4677.93606847444581.14106802407696
0.4778.20757959461831.17328504699325
0.4878.48919115876261.22986003594223
0.4978.78680926215721.31338789702068
0.579.10682000781331.42555135686097
0.5179.45578981636861.56613112233179
0.5279.84010543333771.73264347169155
0.5380.26558201192811.92137020713643
0.5480.73706274610882.12723336001930
0.5581.25801561261772.34311908492774
0.5681.83011970212812.56058980491123
0.5782.45284293215942.76984289381595
0.5883.12304896767742.95868620576128
0.5983.83471928813663.11416793996795
0.684.5789089741053.22410611634415
0.6185.34404657070323.27788927093951
0.6286.11663142298573.26926104642774
0.6386.88229181748873.19723440513964
0.6487.62707633280013.06687721700688
0.6588.33879210373642.8890452854171
0.6689.00819620023582.67790060032284
0.6789.62988871111592.45164855845678
0.6890.20283122271052.22874507687311
0.6990.73049850499662.02742778443000
0.791.22074081156591.86460674166345
0.7191.68546688281591.75592354323375
0.7292.14023309846741.71379001022265
0.7392.60373337987351.74900749554559
0.7493.09704983146281.86748882421668
0.7593.64241452779432.06910394940073
0.7694.2612481893362.34367061315296
0.7794.97145446062842.67000733192791
0.7895.78432917632083.0148990568337
0.7996.7018297814483.33844840426991
0.897.7151144733363.60029992141133
0.8198.80506005607713.76788349460159
0.8299.94495494723753.82340857063407
0.83101.1049511461933.76703871394948
0.84102.2573408650273.61689536294574
0.85103.3813519504933.40526305438483
0.86104.4659612506323.17060499804876
0.87105.5095014230342.94626733276114
0.88106.5162090832732.74724218866451
0.89107.4928610697312.56765637650486
0.9108.4529915385052.40393365049022
0.91109.4397161124442.31106194541417
0.92110.5741970607542.49244197259746
0.93112.1112744663843.31666639386436
0.94114.4279598512144.97868375259178
0.95117.829620847986.99761768737843
0.96122.1695818333578.08610409409309
0.97126.6110788814666.97282256517059
0.98130.0401448755774.01369732855176
0.99131.968872932231.39198190155964

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 57.5634337484109 & 0.493707346957607 \tabularnewline
0.02 & 58.1328321118493 & 0.908267141393176 \tabularnewline
0.03 & 58.8378384425625 & 1.01572125173914 \tabularnewline
0.04 & 59.5143664305 & 0.985667541707097 \tabularnewline
0.05 & 60.1441762964113 & 1.15344442558427 \tabularnewline
0.06 & 60.8112156802908 & 1.53210044923010 \tabularnewline
0.07 & 61.5806683288264 & 1.91357731064410 \tabularnewline
0.08 & 62.4421888759309 & 2.13139141916569 \tabularnewline
0.09 & 63.332226457189 & 2.14478395783230 \tabularnewline
0.1 & 64.1841445510493 & 2.02266410197683 \tabularnewline
0.11 & 64.962369174531 & 1.87518581480479 \tabularnewline
0.12 & 65.667575733965 & 1.78613280104699 \tabularnewline
0.13 & 66.3225030565451 & 1.7813299207151 \tabularnewline
0.14 & 66.9537350749531 & 1.83758450533838 \tabularnewline
0.15 & 67.5793587450801 & 1.91211927299054 \tabularnewline
0.16 & 68.2048844204932 & 1.96642562679778 \tabularnewline
0.17 & 68.8252581885448 & 1.97731794768566 \tabularnewline
0.18 & 69.4295870369773 & 1.93843620860190 \tabularnewline
0.19 & 70.0058594824001 & 1.85582861391132 \tabularnewline
0.2 & 70.5441936868611 & 1.74159452251977 \tabularnewline
0.21 & 71.0382959451026 & 1.60876016573352 \tabularnewline
0.22 & 71.4855470751134 & 1.46857389029775 \tabularnewline
0.23 & 71.8863751312685 & 1.32962097418086 \tabularnewline
0.24 & 72.2434503402233 & 1.19891749956639 \tabularnewline
0.25 & 72.5609857087081 & 1.08111768500241 \tabularnewline
0.26 & 72.8442265579486 & 0.980421475444884 \tabularnewline
0.27 & 73.099115865513 & 0.899855711605945 \tabularnewline
0.28 & 73.3320878752652 & 0.842177161978708 \tabularnewline
0.29 & 73.5499198827336 & 0.809443866645842 \tabularnewline
0.3 & 73.759552562959 & 0.803854386248143 \tabularnewline
0.31 & 73.9677952577227 & 0.825059304526944 \tabularnewline
0.32 & 74.1808814460997 & 0.87046859931734 \tabularnewline
0.33 & 74.4039194760119 & 0.933480577607747 \tabularnewline
0.34 & 74.6403587904166 & 1.00603956436617 \tabularnewline
0.35 & 74.8916249422225 & 1.07825598252962 \tabularnewline
0.36 & 75.1570497736015 & 1.14146341263676 \tabularnewline
0.37 & 75.4341458865056 & 1.18898463830394 \tabularnewline
0.38 & 75.7191777262939 & 1.21705024454868 \tabularnewline
0.39 & 76.0079021658496 & 1.22567466632811 \tabularnewline
0.4 & 76.2963168855052 & 1.21793766978212 \tabularnewline
0.41 & 76.5812732632532 & 1.19857159517155 \tabularnewline
0.42 & 76.8608696783078 & 1.17422788400351 \tabularnewline
0.43 & 77.1346152913088 & 1.15073420428038 \tabularnewline
0.44 & 77.4034153564926 & 1.13402354634333 \tabularnewline
0.45 & 77.6694573692824 & 1.12937195260236 \tabularnewline
0.46 & 77.9360684744458 & 1.14106802407696 \tabularnewline
0.47 & 78.2075795946183 & 1.17328504699325 \tabularnewline
0.48 & 78.4891911587626 & 1.22986003594223 \tabularnewline
0.49 & 78.7868092621572 & 1.31338789702068 \tabularnewline
0.5 & 79.1068200078133 & 1.42555135686097 \tabularnewline
0.51 & 79.4557898163686 & 1.56613112233179 \tabularnewline
0.52 & 79.8401054333377 & 1.73264347169155 \tabularnewline
0.53 & 80.2655820119281 & 1.92137020713643 \tabularnewline
0.54 & 80.7370627461088 & 2.12723336001930 \tabularnewline
0.55 & 81.2580156126177 & 2.34311908492774 \tabularnewline
0.56 & 81.8301197021281 & 2.56058980491123 \tabularnewline
0.57 & 82.4528429321594 & 2.76984289381595 \tabularnewline
0.58 & 83.1230489676774 & 2.95868620576128 \tabularnewline
0.59 & 83.8347192881366 & 3.11416793996795 \tabularnewline
0.6 & 84.578908974105 & 3.22410611634415 \tabularnewline
0.61 & 85.3440465707032 & 3.27788927093951 \tabularnewline
0.62 & 86.1166314229857 & 3.26926104642774 \tabularnewline
0.63 & 86.8822918174887 & 3.19723440513964 \tabularnewline
0.64 & 87.6270763328001 & 3.06687721700688 \tabularnewline
0.65 & 88.3387921037364 & 2.8890452854171 \tabularnewline
0.66 & 89.0081962002358 & 2.67790060032284 \tabularnewline
0.67 & 89.6298887111159 & 2.45164855845678 \tabularnewline
0.68 & 90.2028312227105 & 2.22874507687311 \tabularnewline
0.69 & 90.7304985049966 & 2.02742778443000 \tabularnewline
0.7 & 91.2207408115659 & 1.86460674166345 \tabularnewline
0.71 & 91.6854668828159 & 1.75592354323375 \tabularnewline
0.72 & 92.1402330984674 & 1.71379001022265 \tabularnewline
0.73 & 92.6037333798735 & 1.74900749554559 \tabularnewline
0.74 & 93.0970498314628 & 1.86748882421668 \tabularnewline
0.75 & 93.6424145277943 & 2.06910394940073 \tabularnewline
0.76 & 94.261248189336 & 2.34367061315296 \tabularnewline
0.77 & 94.9714544606284 & 2.67000733192791 \tabularnewline
0.78 & 95.7843291763208 & 3.0148990568337 \tabularnewline
0.79 & 96.701829781448 & 3.33844840426991 \tabularnewline
0.8 & 97.715114473336 & 3.60029992141133 \tabularnewline
0.81 & 98.8050600560771 & 3.76788349460159 \tabularnewline
0.82 & 99.9449549472375 & 3.82340857063407 \tabularnewline
0.83 & 101.104951146193 & 3.76703871394948 \tabularnewline
0.84 & 102.257340865027 & 3.61689536294574 \tabularnewline
0.85 & 103.381351950493 & 3.40526305438483 \tabularnewline
0.86 & 104.465961250632 & 3.17060499804876 \tabularnewline
0.87 & 105.509501423034 & 2.94626733276114 \tabularnewline
0.88 & 106.516209083273 & 2.74724218866451 \tabularnewline
0.89 & 107.492861069731 & 2.56765637650486 \tabularnewline
0.9 & 108.452991538505 & 2.40393365049022 \tabularnewline
0.91 & 109.439716112444 & 2.31106194541417 \tabularnewline
0.92 & 110.574197060754 & 2.49244197259746 \tabularnewline
0.93 & 112.111274466384 & 3.31666639386436 \tabularnewline
0.94 & 114.427959851214 & 4.97868375259178 \tabularnewline
0.95 & 117.82962084798 & 6.99761768737843 \tabularnewline
0.96 & 122.169581833357 & 8.08610409409309 \tabularnewline
0.97 & 126.611078881466 & 6.97282256517059 \tabularnewline
0.98 & 130.040144875577 & 4.01369732855176 \tabularnewline
0.99 & 131.96887293223 & 1.39198190155964 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=83304&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]57.5634337484109[/C][C]0.493707346957607[/C][/ROW]
[ROW][C]0.02[/C][C]58.1328321118493[/C][C]0.908267141393176[/C][/ROW]
[ROW][C]0.03[/C][C]58.8378384425625[/C][C]1.01572125173914[/C][/ROW]
[ROW][C]0.04[/C][C]59.5143664305[/C][C]0.985667541707097[/C][/ROW]
[ROW][C]0.05[/C][C]60.1441762964113[/C][C]1.15344442558427[/C][/ROW]
[ROW][C]0.06[/C][C]60.8112156802908[/C][C]1.53210044923010[/C][/ROW]
[ROW][C]0.07[/C][C]61.5806683288264[/C][C]1.91357731064410[/C][/ROW]
[ROW][C]0.08[/C][C]62.4421888759309[/C][C]2.13139141916569[/C][/ROW]
[ROW][C]0.09[/C][C]63.332226457189[/C][C]2.14478395783230[/C][/ROW]
[ROW][C]0.1[/C][C]64.1841445510493[/C][C]2.02266410197683[/C][/ROW]
[ROW][C]0.11[/C][C]64.962369174531[/C][C]1.87518581480479[/C][/ROW]
[ROW][C]0.12[/C][C]65.667575733965[/C][C]1.78613280104699[/C][/ROW]
[ROW][C]0.13[/C][C]66.3225030565451[/C][C]1.7813299207151[/C][/ROW]
[ROW][C]0.14[/C][C]66.9537350749531[/C][C]1.83758450533838[/C][/ROW]
[ROW][C]0.15[/C][C]67.5793587450801[/C][C]1.91211927299054[/C][/ROW]
[ROW][C]0.16[/C][C]68.2048844204932[/C][C]1.96642562679778[/C][/ROW]
[ROW][C]0.17[/C][C]68.8252581885448[/C][C]1.97731794768566[/C][/ROW]
[ROW][C]0.18[/C][C]69.4295870369773[/C][C]1.93843620860190[/C][/ROW]
[ROW][C]0.19[/C][C]70.0058594824001[/C][C]1.85582861391132[/C][/ROW]
[ROW][C]0.2[/C][C]70.5441936868611[/C][C]1.74159452251977[/C][/ROW]
[ROW][C]0.21[/C][C]71.0382959451026[/C][C]1.60876016573352[/C][/ROW]
[ROW][C]0.22[/C][C]71.4855470751134[/C][C]1.46857389029775[/C][/ROW]
[ROW][C]0.23[/C][C]71.8863751312685[/C][C]1.32962097418086[/C][/ROW]
[ROW][C]0.24[/C][C]72.2434503402233[/C][C]1.19891749956639[/C][/ROW]
[ROW][C]0.25[/C][C]72.5609857087081[/C][C]1.08111768500241[/C][/ROW]
[ROW][C]0.26[/C][C]72.8442265579486[/C][C]0.980421475444884[/C][/ROW]
[ROW][C]0.27[/C][C]73.099115865513[/C][C]0.899855711605945[/C][/ROW]
[ROW][C]0.28[/C][C]73.3320878752652[/C][C]0.842177161978708[/C][/ROW]
[ROW][C]0.29[/C][C]73.5499198827336[/C][C]0.809443866645842[/C][/ROW]
[ROW][C]0.3[/C][C]73.759552562959[/C][C]0.803854386248143[/C][/ROW]
[ROW][C]0.31[/C][C]73.9677952577227[/C][C]0.825059304526944[/C][/ROW]
[ROW][C]0.32[/C][C]74.1808814460997[/C][C]0.87046859931734[/C][/ROW]
[ROW][C]0.33[/C][C]74.4039194760119[/C][C]0.933480577607747[/C][/ROW]
[ROW][C]0.34[/C][C]74.6403587904166[/C][C]1.00603956436617[/C][/ROW]
[ROW][C]0.35[/C][C]74.8916249422225[/C][C]1.07825598252962[/C][/ROW]
[ROW][C]0.36[/C][C]75.1570497736015[/C][C]1.14146341263676[/C][/ROW]
[ROW][C]0.37[/C][C]75.4341458865056[/C][C]1.18898463830394[/C][/ROW]
[ROW][C]0.38[/C][C]75.7191777262939[/C][C]1.21705024454868[/C][/ROW]
[ROW][C]0.39[/C][C]76.0079021658496[/C][C]1.22567466632811[/C][/ROW]
[ROW][C]0.4[/C][C]76.2963168855052[/C][C]1.21793766978212[/C][/ROW]
[ROW][C]0.41[/C][C]76.5812732632532[/C][C]1.19857159517155[/C][/ROW]
[ROW][C]0.42[/C][C]76.8608696783078[/C][C]1.17422788400351[/C][/ROW]
[ROW][C]0.43[/C][C]77.1346152913088[/C][C]1.15073420428038[/C][/ROW]
[ROW][C]0.44[/C][C]77.4034153564926[/C][C]1.13402354634333[/C][/ROW]
[ROW][C]0.45[/C][C]77.6694573692824[/C][C]1.12937195260236[/C][/ROW]
[ROW][C]0.46[/C][C]77.9360684744458[/C][C]1.14106802407696[/C][/ROW]
[ROW][C]0.47[/C][C]78.2075795946183[/C][C]1.17328504699325[/C][/ROW]
[ROW][C]0.48[/C][C]78.4891911587626[/C][C]1.22986003594223[/C][/ROW]
[ROW][C]0.49[/C][C]78.7868092621572[/C][C]1.31338789702068[/C][/ROW]
[ROW][C]0.5[/C][C]79.1068200078133[/C][C]1.42555135686097[/C][/ROW]
[ROW][C]0.51[/C][C]79.4557898163686[/C][C]1.56613112233179[/C][/ROW]
[ROW][C]0.52[/C][C]79.8401054333377[/C][C]1.73264347169155[/C][/ROW]
[ROW][C]0.53[/C][C]80.2655820119281[/C][C]1.92137020713643[/C][/ROW]
[ROW][C]0.54[/C][C]80.7370627461088[/C][C]2.12723336001930[/C][/ROW]
[ROW][C]0.55[/C][C]81.2580156126177[/C][C]2.34311908492774[/C][/ROW]
[ROW][C]0.56[/C][C]81.8301197021281[/C][C]2.56058980491123[/C][/ROW]
[ROW][C]0.57[/C][C]82.4528429321594[/C][C]2.76984289381595[/C][/ROW]
[ROW][C]0.58[/C][C]83.1230489676774[/C][C]2.95868620576128[/C][/ROW]
[ROW][C]0.59[/C][C]83.8347192881366[/C][C]3.11416793996795[/C][/ROW]
[ROW][C]0.6[/C][C]84.578908974105[/C][C]3.22410611634415[/C][/ROW]
[ROW][C]0.61[/C][C]85.3440465707032[/C][C]3.27788927093951[/C][/ROW]
[ROW][C]0.62[/C][C]86.1166314229857[/C][C]3.26926104642774[/C][/ROW]
[ROW][C]0.63[/C][C]86.8822918174887[/C][C]3.19723440513964[/C][/ROW]
[ROW][C]0.64[/C][C]87.6270763328001[/C][C]3.06687721700688[/C][/ROW]
[ROW][C]0.65[/C][C]88.3387921037364[/C][C]2.8890452854171[/C][/ROW]
[ROW][C]0.66[/C][C]89.0081962002358[/C][C]2.67790060032284[/C][/ROW]
[ROW][C]0.67[/C][C]89.6298887111159[/C][C]2.45164855845678[/C][/ROW]
[ROW][C]0.68[/C][C]90.2028312227105[/C][C]2.22874507687311[/C][/ROW]
[ROW][C]0.69[/C][C]90.7304985049966[/C][C]2.02742778443000[/C][/ROW]
[ROW][C]0.7[/C][C]91.2207408115659[/C][C]1.86460674166345[/C][/ROW]
[ROW][C]0.71[/C][C]91.6854668828159[/C][C]1.75592354323375[/C][/ROW]
[ROW][C]0.72[/C][C]92.1402330984674[/C][C]1.71379001022265[/C][/ROW]
[ROW][C]0.73[/C][C]92.6037333798735[/C][C]1.74900749554559[/C][/ROW]
[ROW][C]0.74[/C][C]93.0970498314628[/C][C]1.86748882421668[/C][/ROW]
[ROW][C]0.75[/C][C]93.6424145277943[/C][C]2.06910394940073[/C][/ROW]
[ROW][C]0.76[/C][C]94.261248189336[/C][C]2.34367061315296[/C][/ROW]
[ROW][C]0.77[/C][C]94.9714544606284[/C][C]2.67000733192791[/C][/ROW]
[ROW][C]0.78[/C][C]95.7843291763208[/C][C]3.0148990568337[/C][/ROW]
[ROW][C]0.79[/C][C]96.701829781448[/C][C]3.33844840426991[/C][/ROW]
[ROW][C]0.8[/C][C]97.715114473336[/C][C]3.60029992141133[/C][/ROW]
[ROW][C]0.81[/C][C]98.8050600560771[/C][C]3.76788349460159[/C][/ROW]
[ROW][C]0.82[/C][C]99.9449549472375[/C][C]3.82340857063407[/C][/ROW]
[ROW][C]0.83[/C][C]101.104951146193[/C][C]3.76703871394948[/C][/ROW]
[ROW][C]0.84[/C][C]102.257340865027[/C][C]3.61689536294574[/C][/ROW]
[ROW][C]0.85[/C][C]103.381351950493[/C][C]3.40526305438483[/C][/ROW]
[ROW][C]0.86[/C][C]104.465961250632[/C][C]3.17060499804876[/C][/ROW]
[ROW][C]0.87[/C][C]105.509501423034[/C][C]2.94626733276114[/C][/ROW]
[ROW][C]0.88[/C][C]106.516209083273[/C][C]2.74724218866451[/C][/ROW]
[ROW][C]0.89[/C][C]107.492861069731[/C][C]2.56765637650486[/C][/ROW]
[ROW][C]0.9[/C][C]108.452991538505[/C][C]2.40393365049022[/C][/ROW]
[ROW][C]0.91[/C][C]109.439716112444[/C][C]2.31106194541417[/C][/ROW]
[ROW][C]0.92[/C][C]110.574197060754[/C][C]2.49244197259746[/C][/ROW]
[ROW][C]0.93[/C][C]112.111274466384[/C][C]3.31666639386436[/C][/ROW]
[ROW][C]0.94[/C][C]114.427959851214[/C][C]4.97868375259178[/C][/ROW]
[ROW][C]0.95[/C][C]117.82962084798[/C][C]6.99761768737843[/C][/ROW]
[ROW][C]0.96[/C][C]122.169581833357[/C][C]8.08610409409309[/C][/ROW]
[ROW][C]0.97[/C][C]126.611078881466[/C][C]6.97282256517059[/C][/ROW]
[ROW][C]0.98[/C][C]130.040144875577[/C][C]4.01369732855176[/C][/ROW]
[ROW][C]0.99[/C][C]131.96887293223[/C][C]1.39198190155964[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=83304&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=83304&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
0.0157.56343374841090.493707346957607
0.0258.13283211184930.908267141393176
0.0358.83783844256251.01572125173914
0.0459.51436643050.985667541707097
0.0560.14417629641131.15344442558427
0.0660.81121568029081.53210044923010
0.0761.58066832882641.91357731064410
0.0862.44218887593092.13139141916569
0.0963.3322264571892.14478395783230
0.164.18414455104932.02266410197683
0.1164.9623691745311.87518581480479
0.1265.6675757339651.78613280104699
0.1366.32250305654511.7813299207151
0.1466.95373507495311.83758450533838
0.1567.57935874508011.91211927299054
0.1668.20488442049321.96642562679778
0.1768.82525818854481.97731794768566
0.1869.42958703697731.93843620860190
0.1970.00585948240011.85582861391132
0.270.54419368686111.74159452251977
0.2171.03829594510261.60876016573352
0.2271.48554707511341.46857389029775
0.2371.88637513126851.32962097418086
0.2472.24345034022331.19891749956639
0.2572.56098570870811.08111768500241
0.2672.84422655794860.980421475444884
0.2773.0991158655130.899855711605945
0.2873.33208787526520.842177161978708
0.2973.54991988273360.809443866645842
0.373.7595525629590.803854386248143
0.3173.96779525772270.825059304526944
0.3274.18088144609970.87046859931734
0.3374.40391947601190.933480577607747
0.3474.64035879041661.00603956436617
0.3574.89162494222251.07825598252962
0.3675.15704977360151.14146341263676
0.3775.43414588650561.18898463830394
0.3875.71917772629391.21705024454868
0.3976.00790216584961.22567466632811
0.476.29631688550521.21793766978212
0.4176.58127326325321.19857159517155
0.4276.86086967830781.17422788400351
0.4377.13461529130881.15073420428038
0.4477.40341535649261.13402354634333
0.4577.66945736928241.12937195260236
0.4677.93606847444581.14106802407696
0.4778.20757959461831.17328504699325
0.4878.48919115876261.22986003594223
0.4978.78680926215721.31338789702068
0.579.10682000781331.42555135686097
0.5179.45578981636861.56613112233179
0.5279.84010543333771.73264347169155
0.5380.26558201192811.92137020713643
0.5480.73706274610882.12723336001930
0.5581.25801561261772.34311908492774
0.5681.83011970212812.56058980491123
0.5782.45284293215942.76984289381595
0.5883.12304896767742.95868620576128
0.5983.83471928813663.11416793996795
0.684.5789089741053.22410611634415
0.6185.34404657070323.27788927093951
0.6286.11663142298573.26926104642774
0.6386.88229181748873.19723440513964
0.6487.62707633280013.06687721700688
0.6588.33879210373642.8890452854171
0.6689.00819620023582.67790060032284
0.6789.62988871111592.45164855845678
0.6890.20283122271052.22874507687311
0.6990.73049850499662.02742778443000
0.791.22074081156591.86460674166345
0.7191.68546688281591.75592354323375
0.7292.14023309846741.71379001022265
0.7392.60373337987351.74900749554559
0.7493.09704983146281.86748882421668
0.7593.64241452779432.06910394940073
0.7694.2612481893362.34367061315296
0.7794.97145446062842.67000733192791
0.7895.78432917632083.0148990568337
0.7996.7018297814483.33844840426991
0.897.7151144733363.60029992141133
0.8198.80506005607713.76788349460159
0.8299.94495494723753.82340857063407
0.83101.1049511461933.76703871394948
0.84102.2573408650273.61689536294574
0.85103.3813519504933.40526305438483
0.86104.4659612506323.17060499804876
0.87105.5095014230342.94626733276114
0.88106.5162090832732.74724218866451
0.89107.4928610697312.56765637650486
0.9108.4529915385052.40393365049022
0.91109.4397161124442.31106194541417
0.92110.5741970607542.49244197259746
0.93112.1112744663843.31666639386436
0.94114.4279598512144.97868375259178
0.95117.829620847986.99761768737843
0.96122.1695818333578.08610409409309
0.97126.6110788814666.97282256517059
0.98130.0401448755774.01369732855176
0.99131.968872932231.39198190155964


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')