FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 12 Nov 2012 11:15:15 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/12/t1352736941uglsqg3zhyw7wxh.htm/, Retrieved Mon, 29 Apr 2024 04:36:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=188099, Retrieved Mon, 29 Apr 2024 04:36:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [web server] [2010-10-19 15:51:23] [b98453cac15ba1066b407e146608df68]
- RMPD  [Histogram] [histogram time an...] [2012-11-12 16:12:40] [dbdfdab7c884aa7a69290945f2923e51]
- RMP       [Harrell-Davis Quantiles] [harrel davis quan...] [2012-11-12 16:15:15] [239167cccea8953a8e1721fd6db07280] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99
85
92
89
89
90
96
100
96
94
92
91
90
95
99
93
90
90
90
90
97
100
94
91
90
89
89
95
100
93
95
91
91
90
95
100
93
86
71
70
70
75
78
73
72
71
71
70
75
78
73
72
71
70
70
75
78
73
71
71
71
71
77
79
74
72
72
72
74
77
79
75
73
72
71
72
76
78
73
72
72
71
71
77
79
74
72
72
71

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=188099&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=188099&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=188099&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0170.00453644164870.0180789280309724
0.0270.02721752089320.082780725159138
0.0370.0869297026590.19801123089529
0.0470.19475762831890.324643775367637
0.0570.34347663916710.406970131404829
0.0670.50962559730180.414089876195109
0.0770.66573689018910.355361310571317
0.0870.79254409986840.264723645398075
0.0970.88392651755360.176708761942768
0.170.9446247047190.112729956804228
0.1170.98492181726890.0831308737507898
0.1271.01604254062940.0907054702405718
0.1371.04762874409870.125964670779405
0.1471.08686076624420.178241296517407
0.1571.13831898965410.239585784319803
0.1671.20401396338560.301807177228868
0.1771.28347857511170.356004207828159
0.1871.37406051200930.394480535420335
0.1971.47154212138740.41256381362989
0.271.57106395951550.40970794136803
0.2171.66817296339420.389861001722062
0.2271.7597443298540.360433612757479
0.2371.84456067936830.33125102370816
0.2471.9234427040690.312028397001727
0.2571.99895731138490.311065693175373
0.2672.07483223956790.332284625771523
0.2772.15525352539530.374512910936634
0.2872.24421344762390.433413118334674
0.2972.34502860453450.503879528128288
0.372.46008333810630.581071269128561
0.3172.59079257824290.660982512991978
0.3272.73773338290570.74098451012399
0.3372.90087191307480.819372007385888
0.3473.07981208508470.895805730448313
0.3573.27400865317250.970290360401565
0.3673.48291294780591.04308384242832
0.3773.70604537699071.11467290106785
0.3873.94300871487981.18512030476777
0.3974.19346770558381.25440666089601
0.474.4571249283521.32259768036367
0.4174.73372329354421.38938399401633
0.4275.02310405855851.45528702170936
0.4375.32534506831461.52112751296941
0.4475.64099349605121.58963393022385
0.4575.97138668900521.66515705218895
0.4676.31902269793371.75458734294046
0.4776.68790319088231.86756677549434
0.4877.08373643218682.01456834162683
0.4977.51387153401592.20549287405921
0.577.9868512386592.44639027055642
0.5178.51152657695552.73661325582634
0.5279.09576904447593.06673161280851
0.5379.74492730353993.4182047791422
0.5480.46027775538593.76465301740502
0.5581.23777944895444.07475746624868
0.5682.06743740198444.31641065904895
0.5782.93349413333364.46096679525415
0.5883.81551889678624.48831876357908
0.5984.69028123861864.38997854533921
0.685.53412668915544.1706511136631
0.6186.32546323702143.8473976619992
0.6287.04694734259123.44727519577128
0.6387.68703129624393.00299641709807
0.6488.24067656135032.54844420671882
0.6588.70920901133992.11444249438151
0.6689.09944667499171.72604403430275
0.6789.42233453846891.40042605219304
0.6889.69135946600341.14750708220709
0.6989.92099679481040.969848857165961
0.790.12537766905160.863887540126131
0.7190.31728616481810.81995917989143
0.7290.50751801366720.824420600504949
0.7390.70457173070280.862548478901384
0.7490.91460469830490.921239367655211
0.7591.14157200270610.989995166079115
0.7691.3874705471961.06059802130594
0.7791.65262738693341.12640783004642
0.7891.93599043478691.18228216083803
0.7992.23539647761011.22452792497314
0.892.54780880088761.25060364939495
0.8192.86954480516461.25889691016456
0.8293.19656022944331.24893768445581
0.8393.52491033105721.22124727164895
0.8493.85153178974081.17870365594342
0.8594.17542725012251.12839026434286
0.8694.49914665384911.0830892328372
0.8794.83015785618211.06142837538562
0.8895.18137221208691.08404282240173
0.8995.56990531238391.1643855822539
0.996.01333162642531.29704729599227
0.9196.52344076003411.45196055609772
0.9297.09882269543841.5780373539154
0.9397.71902957729061.61657642896466
0.9498.34364520501751.5226840029363
0.9598.91859066979751.28669934936288
0.9699.38965138359330.943810702552881
0.9799.72028801306180.567820160241526
0.9899.90715584493340.250335097691142
0.9999.98308874987110.0610970594950785

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 70.0045364416487 & 0.0180789280309724 \tabularnewline
0.02 & 70.0272175208932 & 0.082780725159138 \tabularnewline
0.03 & 70.086929702659 & 0.19801123089529 \tabularnewline
0.04 & 70.1947576283189 & 0.324643775367637 \tabularnewline
0.05 & 70.3434766391671 & 0.406970131404829 \tabularnewline
0.06 & 70.5096255973018 & 0.414089876195109 \tabularnewline
0.07 & 70.6657368901891 & 0.355361310571317 \tabularnewline
0.08 & 70.7925440998684 & 0.264723645398075 \tabularnewline
0.09 & 70.8839265175536 & 0.176708761942768 \tabularnewline
0.1 & 70.944624704719 & 0.112729956804228 \tabularnewline
0.11 & 70.9849218172689 & 0.0831308737507898 \tabularnewline
0.12 & 71.0160425406294 & 0.0907054702405718 \tabularnewline
0.13 & 71.0476287440987 & 0.125964670779405 \tabularnewline
0.14 & 71.0868607662442 & 0.178241296517407 \tabularnewline
0.15 & 71.1383189896541 & 0.239585784319803 \tabularnewline
0.16 & 71.2040139633856 & 0.301807177228868 \tabularnewline
0.17 & 71.2834785751117 & 0.356004207828159 \tabularnewline
0.18 & 71.3740605120093 & 0.394480535420335 \tabularnewline
0.19 & 71.4715421213874 & 0.41256381362989 \tabularnewline
0.2 & 71.5710639595155 & 0.40970794136803 \tabularnewline
0.21 & 71.6681729633942 & 0.389861001722062 \tabularnewline
0.22 & 71.759744329854 & 0.360433612757479 \tabularnewline
0.23 & 71.8445606793683 & 0.33125102370816 \tabularnewline
0.24 & 71.923442704069 & 0.312028397001727 \tabularnewline
0.25 & 71.9989573113849 & 0.311065693175373 \tabularnewline
0.26 & 72.0748322395679 & 0.332284625771523 \tabularnewline
0.27 & 72.1552535253953 & 0.374512910936634 \tabularnewline
0.28 & 72.2442134476239 & 0.433413118334674 \tabularnewline
0.29 & 72.3450286045345 & 0.503879528128288 \tabularnewline
0.3 & 72.4600833381063 & 0.581071269128561 \tabularnewline
0.31 & 72.5907925782429 & 0.660982512991978 \tabularnewline
0.32 & 72.7377333829057 & 0.74098451012399 \tabularnewline
0.33 & 72.9008719130748 & 0.819372007385888 \tabularnewline
0.34 & 73.0798120850847 & 0.895805730448313 \tabularnewline
0.35 & 73.2740086531725 & 0.970290360401565 \tabularnewline
0.36 & 73.4829129478059 & 1.04308384242832 \tabularnewline
0.37 & 73.7060453769907 & 1.11467290106785 \tabularnewline
0.38 & 73.9430087148798 & 1.18512030476777 \tabularnewline
0.39 & 74.1934677055838 & 1.25440666089601 \tabularnewline
0.4 & 74.457124928352 & 1.32259768036367 \tabularnewline
0.41 & 74.7337232935442 & 1.38938399401633 \tabularnewline
0.42 & 75.0231040585585 & 1.45528702170936 \tabularnewline
0.43 & 75.3253450683146 & 1.52112751296941 \tabularnewline
0.44 & 75.6409934960512 & 1.58963393022385 \tabularnewline
0.45 & 75.9713866890052 & 1.66515705218895 \tabularnewline
0.46 & 76.3190226979337 & 1.75458734294046 \tabularnewline
0.47 & 76.6879031908823 & 1.86756677549434 \tabularnewline
0.48 & 77.0837364321868 & 2.01456834162683 \tabularnewline
0.49 & 77.5138715340159 & 2.20549287405921 \tabularnewline
0.5 & 77.986851238659 & 2.44639027055642 \tabularnewline
0.51 & 78.5115265769555 & 2.73661325582634 \tabularnewline
0.52 & 79.0957690444759 & 3.06673161280851 \tabularnewline
0.53 & 79.7449273035399 & 3.4182047791422 \tabularnewline
0.54 & 80.4602777553859 & 3.76465301740502 \tabularnewline
0.55 & 81.2377794489544 & 4.07475746624868 \tabularnewline
0.56 & 82.0674374019844 & 4.31641065904895 \tabularnewline
0.57 & 82.9334941333336 & 4.46096679525415 \tabularnewline
0.58 & 83.8155188967862 & 4.48831876357908 \tabularnewline
0.59 & 84.6902812386186 & 4.38997854533921 \tabularnewline
0.6 & 85.5341266891554 & 4.1706511136631 \tabularnewline
0.61 & 86.3254632370214 & 3.8473976619992 \tabularnewline
0.62 & 87.0469473425912 & 3.44727519577128 \tabularnewline
0.63 & 87.6870312962439 & 3.00299641709807 \tabularnewline
0.64 & 88.2406765613503 & 2.54844420671882 \tabularnewline
0.65 & 88.7092090113399 & 2.11444249438151 \tabularnewline
0.66 & 89.0994466749917 & 1.72604403430275 \tabularnewline
0.67 & 89.4223345384689 & 1.40042605219304 \tabularnewline
0.68 & 89.6913594660034 & 1.14750708220709 \tabularnewline
0.69 & 89.9209967948104 & 0.969848857165961 \tabularnewline
0.7 & 90.1253776690516 & 0.863887540126131 \tabularnewline
0.71 & 90.3172861648181 & 0.81995917989143 \tabularnewline
0.72 & 90.5075180136672 & 0.824420600504949 \tabularnewline
0.73 & 90.7045717307028 & 0.862548478901384 \tabularnewline
0.74 & 90.9146046983049 & 0.921239367655211 \tabularnewline
0.75 & 91.1415720027061 & 0.989995166079115 \tabularnewline
0.76 & 91.387470547196 & 1.06059802130594 \tabularnewline
0.77 & 91.6526273869334 & 1.12640783004642 \tabularnewline
0.78 & 91.9359904347869 & 1.18228216083803 \tabularnewline
0.79 & 92.2353964776101 & 1.22452792497314 \tabularnewline
0.8 & 92.5478088008876 & 1.25060364939495 \tabularnewline
0.81 & 92.8695448051646 & 1.25889691016456 \tabularnewline
0.82 & 93.1965602294433 & 1.24893768445581 \tabularnewline
0.83 & 93.5249103310572 & 1.22124727164895 \tabularnewline
0.84 & 93.8515317897408 & 1.17870365594342 \tabularnewline
0.85 & 94.1754272501225 & 1.12839026434286 \tabularnewline
0.86 & 94.4991466538491 & 1.0830892328372 \tabularnewline
0.87 & 94.8301578561821 & 1.06142837538562 \tabularnewline
0.88 & 95.1813722120869 & 1.08404282240173 \tabularnewline
0.89 & 95.5699053123839 & 1.1643855822539 \tabularnewline
0.9 & 96.0133316264253 & 1.29704729599227 \tabularnewline
0.91 & 96.5234407600341 & 1.45196055609772 \tabularnewline
0.92 & 97.0988226954384 & 1.5780373539154 \tabularnewline
0.93 & 97.7190295772906 & 1.61657642896466 \tabularnewline
0.94 & 98.3436452050175 & 1.5226840029363 \tabularnewline
0.95 & 98.9185906697975 & 1.28669934936288 \tabularnewline
0.96 & 99.3896513835933 & 0.943810702552881 \tabularnewline
0.97 & 99.7202880130618 & 0.567820160241526 \tabularnewline
0.98 & 99.9071558449334 & 0.250335097691142 \tabularnewline
0.99 & 99.9830887498711 & 0.0610970594950785 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=188099&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]70.0045364416487[/C][C]0.0180789280309724[/C][/ROW]
[ROW][C]0.02[/C][C]70.0272175208932[/C][C]0.082780725159138[/C][/ROW]
[ROW][C]0.03[/C][C]70.086929702659[/C][C]0.19801123089529[/C][/ROW]
[ROW][C]0.04[/C][C]70.1947576283189[/C][C]0.324643775367637[/C][/ROW]
[ROW][C]0.05[/C][C]70.3434766391671[/C][C]0.406970131404829[/C][/ROW]
[ROW][C]0.06[/C][C]70.5096255973018[/C][C]0.414089876195109[/C][/ROW]
[ROW][C]0.07[/C][C]70.6657368901891[/C][C]0.355361310571317[/C][/ROW]
[ROW][C]0.08[/C][C]70.7925440998684[/C][C]0.264723645398075[/C][/ROW]
[ROW][C]0.09[/C][C]70.8839265175536[/C][C]0.176708761942768[/C][/ROW]
[ROW][C]0.1[/C][C]70.944624704719[/C][C]0.112729956804228[/C][/ROW]
[ROW][C]0.11[/C][C]70.9849218172689[/C][C]0.0831308737507898[/C][/ROW]
[ROW][C]0.12[/C][C]71.0160425406294[/C][C]0.0907054702405718[/C][/ROW]
[ROW][C]0.13[/C][C]71.0476287440987[/C][C]0.125964670779405[/C][/ROW]
[ROW][C]0.14[/C][C]71.0868607662442[/C][C]0.178241296517407[/C][/ROW]
[ROW][C]0.15[/C][C]71.1383189896541[/C][C]0.239585784319803[/C][/ROW]
[ROW][C]0.16[/C][C]71.2040139633856[/C][C]0.301807177228868[/C][/ROW]
[ROW][C]0.17[/C][C]71.2834785751117[/C][C]0.356004207828159[/C][/ROW]
[ROW][C]0.18[/C][C]71.3740605120093[/C][C]0.394480535420335[/C][/ROW]
[ROW][C]0.19[/C][C]71.4715421213874[/C][C]0.41256381362989[/C][/ROW]
[ROW][C]0.2[/C][C]71.5710639595155[/C][C]0.40970794136803[/C][/ROW]
[ROW][C]0.21[/C][C]71.6681729633942[/C][C]0.389861001722062[/C][/ROW]
[ROW][C]0.22[/C][C]71.759744329854[/C][C]0.360433612757479[/C][/ROW]
[ROW][C]0.23[/C][C]71.8445606793683[/C][C]0.33125102370816[/C][/ROW]
[ROW][C]0.24[/C][C]71.923442704069[/C][C]0.312028397001727[/C][/ROW]
[ROW][C]0.25[/C][C]71.9989573113849[/C][C]0.311065693175373[/C][/ROW]
[ROW][C]0.26[/C][C]72.0748322395679[/C][C]0.332284625771523[/C][/ROW]
[ROW][C]0.27[/C][C]72.1552535253953[/C][C]0.374512910936634[/C][/ROW]
[ROW][C]0.28[/C][C]72.2442134476239[/C][C]0.433413118334674[/C][/ROW]
[ROW][C]0.29[/C][C]72.3450286045345[/C][C]0.503879528128288[/C][/ROW]
[ROW][C]0.3[/C][C]72.4600833381063[/C][C]0.581071269128561[/C][/ROW]
[ROW][C]0.31[/C][C]72.5907925782429[/C][C]0.660982512991978[/C][/ROW]
[ROW][C]0.32[/C][C]72.7377333829057[/C][C]0.74098451012399[/C][/ROW]
[ROW][C]0.33[/C][C]72.9008719130748[/C][C]0.819372007385888[/C][/ROW]
[ROW][C]0.34[/C][C]73.0798120850847[/C][C]0.895805730448313[/C][/ROW]
[ROW][C]0.35[/C][C]73.2740086531725[/C][C]0.970290360401565[/C][/ROW]
[ROW][C]0.36[/C][C]73.4829129478059[/C][C]1.04308384242832[/C][/ROW]
[ROW][C]0.37[/C][C]73.7060453769907[/C][C]1.11467290106785[/C][/ROW]
[ROW][C]0.38[/C][C]73.9430087148798[/C][C]1.18512030476777[/C][/ROW]
[ROW][C]0.39[/C][C]74.1934677055838[/C][C]1.25440666089601[/C][/ROW]
[ROW][C]0.4[/C][C]74.457124928352[/C][C]1.32259768036367[/C][/ROW]
[ROW][C]0.41[/C][C]74.7337232935442[/C][C]1.38938399401633[/C][/ROW]
[ROW][C]0.42[/C][C]75.0231040585585[/C][C]1.45528702170936[/C][/ROW]
[ROW][C]0.43[/C][C]75.3253450683146[/C][C]1.52112751296941[/C][/ROW]
[ROW][C]0.44[/C][C]75.6409934960512[/C][C]1.58963393022385[/C][/ROW]
[ROW][C]0.45[/C][C]75.9713866890052[/C][C]1.66515705218895[/C][/ROW]
[ROW][C]0.46[/C][C]76.3190226979337[/C][C]1.75458734294046[/C][/ROW]
[ROW][C]0.47[/C][C]76.6879031908823[/C][C]1.86756677549434[/C][/ROW]
[ROW][C]0.48[/C][C]77.0837364321868[/C][C]2.01456834162683[/C][/ROW]
[ROW][C]0.49[/C][C]77.5138715340159[/C][C]2.20549287405921[/C][/ROW]
[ROW][C]0.5[/C][C]77.986851238659[/C][C]2.44639027055642[/C][/ROW]
[ROW][C]0.51[/C][C]78.5115265769555[/C][C]2.73661325582634[/C][/ROW]
[ROW][C]0.52[/C][C]79.0957690444759[/C][C]3.06673161280851[/C][/ROW]
[ROW][C]0.53[/C][C]79.7449273035399[/C][C]3.4182047791422[/C][/ROW]
[ROW][C]0.54[/C][C]80.4602777553859[/C][C]3.76465301740502[/C][/ROW]
[ROW][C]0.55[/C][C]81.2377794489544[/C][C]4.07475746624868[/C][/ROW]
[ROW][C]0.56[/C][C]82.0674374019844[/C][C]4.31641065904895[/C][/ROW]
[ROW][C]0.57[/C][C]82.9334941333336[/C][C]4.46096679525415[/C][/ROW]
[ROW][C]0.58[/C][C]83.8155188967862[/C][C]4.48831876357908[/C][/ROW]
[ROW][C]0.59[/C][C]84.6902812386186[/C][C]4.38997854533921[/C][/ROW]
[ROW][C]0.6[/C][C]85.5341266891554[/C][C]4.1706511136631[/C][/ROW]
[ROW][C]0.61[/C][C]86.3254632370214[/C][C]3.8473976619992[/C][/ROW]
[ROW][C]0.62[/C][C]87.0469473425912[/C][C]3.44727519577128[/C][/ROW]
[ROW][C]0.63[/C][C]87.6870312962439[/C][C]3.00299641709807[/C][/ROW]
[ROW][C]0.64[/C][C]88.2406765613503[/C][C]2.54844420671882[/C][/ROW]
[ROW][C]0.65[/C][C]88.7092090113399[/C][C]2.11444249438151[/C][/ROW]
[ROW][C]0.66[/C][C]89.0994466749917[/C][C]1.72604403430275[/C][/ROW]
[ROW][C]0.67[/C][C]89.4223345384689[/C][C]1.40042605219304[/C][/ROW]
[ROW][C]0.68[/C][C]89.6913594660034[/C][C]1.14750708220709[/C][/ROW]
[ROW][C]0.69[/C][C]89.9209967948104[/C][C]0.969848857165961[/C][/ROW]
[ROW][C]0.7[/C][C]90.1253776690516[/C][C]0.863887540126131[/C][/ROW]
[ROW][C]0.71[/C][C]90.3172861648181[/C][C]0.81995917989143[/C][/ROW]
[ROW][C]0.72[/C][C]90.5075180136672[/C][C]0.824420600504949[/C][/ROW]
[ROW][C]0.73[/C][C]90.7045717307028[/C][C]0.862548478901384[/C][/ROW]
[ROW][C]0.74[/C][C]90.9146046983049[/C][C]0.921239367655211[/C][/ROW]
[ROW][C]0.75[/C][C]91.1415720027061[/C][C]0.989995166079115[/C][/ROW]
[ROW][C]0.76[/C][C]91.387470547196[/C][C]1.06059802130594[/C][/ROW]
[ROW][C]0.77[/C][C]91.6526273869334[/C][C]1.12640783004642[/C][/ROW]
[ROW][C]0.78[/C][C]91.9359904347869[/C][C]1.18228216083803[/C][/ROW]
[ROW][C]0.79[/C][C]92.2353964776101[/C][C]1.22452792497314[/C][/ROW]
[ROW][C]0.8[/C][C]92.5478088008876[/C][C]1.25060364939495[/C][/ROW]
[ROW][C]0.81[/C][C]92.8695448051646[/C][C]1.25889691016456[/C][/ROW]
[ROW][C]0.82[/C][C]93.1965602294433[/C][C]1.24893768445581[/C][/ROW]
[ROW][C]0.83[/C][C]93.5249103310572[/C][C]1.22124727164895[/C][/ROW]
[ROW][C]0.84[/C][C]93.8515317897408[/C][C]1.17870365594342[/C][/ROW]
[ROW][C]0.85[/C][C]94.1754272501225[/C][C]1.12839026434286[/C][/ROW]
[ROW][C]0.86[/C][C]94.4991466538491[/C][C]1.0830892328372[/C][/ROW]
[ROW][C]0.87[/C][C]94.8301578561821[/C][C]1.06142837538562[/C][/ROW]
[ROW][C]0.88[/C][C]95.1813722120869[/C][C]1.08404282240173[/C][/ROW]
[ROW][C]0.89[/C][C]95.5699053123839[/C][C]1.1643855822539[/C][/ROW]
[ROW][C]0.9[/C][C]96.0133316264253[/C][C]1.29704729599227[/C][/ROW]
[ROW][C]0.91[/C][C]96.5234407600341[/C][C]1.45196055609772[/C][/ROW]
[ROW][C]0.92[/C][C]97.0988226954384[/C][C]1.5780373539154[/C][/ROW]
[ROW][C]0.93[/C][C]97.7190295772906[/C][C]1.61657642896466[/C][/ROW]
[ROW][C]0.94[/C][C]98.3436452050175[/C][C]1.5226840029363[/C][/ROW]
[ROW][C]0.95[/C][C]98.9185906697975[/C][C]1.28669934936288[/C][/ROW]
[ROW][C]0.96[/C][C]99.3896513835933[/C][C]0.943810702552881[/C][/ROW]
[ROW][C]0.97[/C][C]99.7202880130618[/C][C]0.567820160241526[/C][/ROW]
[ROW][C]0.98[/C][C]99.9071558449334[/C][C]0.250335097691142[/C][/ROW]
[ROW][C]0.99[/C][C]99.9830887498711[/C][C]0.0610970594950785[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=188099&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=188099&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
0.0170.00453644164870.0180789280309724
0.0270.02721752089320.082780725159138
0.0370.0869297026590.19801123089529
0.0470.19475762831890.324643775367637
0.0570.34347663916710.406970131404829
0.0670.50962559730180.414089876195109
0.0770.66573689018910.355361310571317
0.0870.79254409986840.264723645398075
0.0970.88392651755360.176708761942768
0.170.9446247047190.112729956804228
0.1170.98492181726890.0831308737507898
0.1271.01604254062940.0907054702405718
0.1371.04762874409870.125964670779405
0.1471.08686076624420.178241296517407
0.1571.13831898965410.239585784319803
0.1671.20401396338560.301807177228868
0.1771.28347857511170.356004207828159
0.1871.37406051200930.394480535420335
0.1971.47154212138740.41256381362989
0.271.57106395951550.40970794136803
0.2171.66817296339420.389861001722062
0.2271.7597443298540.360433612757479
0.2371.84456067936830.33125102370816
0.2471.9234427040690.312028397001727
0.2571.99895731138490.311065693175373
0.2672.07483223956790.332284625771523
0.2772.15525352539530.374512910936634
0.2872.24421344762390.433413118334674
0.2972.34502860453450.503879528128288
0.372.46008333810630.581071269128561
0.3172.59079257824290.660982512991978
0.3272.73773338290570.74098451012399
0.3372.90087191307480.819372007385888
0.3473.07981208508470.895805730448313
0.3573.27400865317250.970290360401565
0.3673.48291294780591.04308384242832
0.3773.70604537699071.11467290106785
0.3873.94300871487981.18512030476777
0.3974.19346770558381.25440666089601
0.474.4571249283521.32259768036367
0.4174.73372329354421.38938399401633
0.4275.02310405855851.45528702170936
0.4375.32534506831461.52112751296941
0.4475.64099349605121.58963393022385
0.4575.97138668900521.66515705218895
0.4676.31902269793371.75458734294046
0.4776.68790319088231.86756677549434
0.4877.08373643218682.01456834162683
0.4977.51387153401592.20549287405921
0.577.9868512386592.44639027055642
0.5178.51152657695552.73661325582634
0.5279.09576904447593.06673161280851
0.5379.74492730353993.4182047791422
0.5480.46027775538593.76465301740502
0.5581.23777944895444.07475746624868
0.5682.06743740198444.31641065904895
0.5782.93349413333364.46096679525415
0.5883.81551889678624.48831876357908
0.5984.69028123861864.38997854533921
0.685.53412668915544.1706511136631
0.6186.32546323702143.8473976619992
0.6287.04694734259123.44727519577128
0.6387.68703129624393.00299641709807
0.6488.24067656135032.54844420671882
0.6588.70920901133992.11444249438151
0.6689.09944667499171.72604403430275
0.6789.42233453846891.40042605219304
0.6889.69135946600341.14750708220709
0.6989.92099679481040.969848857165961
0.790.12537766905160.863887540126131
0.7190.31728616481810.81995917989143
0.7290.50751801366720.824420600504949
0.7390.70457173070280.862548478901384
0.7490.91460469830490.921239367655211
0.7591.14157200270610.989995166079115
0.7691.3874705471961.06059802130594
0.7791.65262738693341.12640783004642
0.7891.93599043478691.18228216083803
0.7992.23539647761011.22452792497314
0.892.54780880088761.25060364939495
0.8192.86954480516461.25889691016456
0.8293.19656022944331.24893768445581
0.8393.52491033105721.22124727164895
0.8493.85153178974081.17870365594342
0.8594.17542725012251.12839026434286
0.8694.49914665384911.0830892328372
0.8794.83015785618211.06142837538562
0.8895.18137221208691.08404282240173
0.8995.56990531238391.1643855822539
0.996.01333162642531.29704729599227
0.9196.52344076003411.45196055609772
0.9297.09882269543841.5780373539154
0.9397.71902957729061.61657642896466
0.9498.34364520501751.5226840029363
0.9598.91859066979751.28669934936288
0.9699.38965138359330.943810702552881
0.9799.72028801306180.567820160241526
0.9899.90715584493340.250335097691142
0.9999.98308874987110.0610970594950785


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')