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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, 10 Oct 2015 18:12:28 +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/2015/Oct/10/t1444497257gybywnte5abf9w1.htm/, Retrieved Sat, 18 May 2024 22:21:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282264, Retrieved Sat, 18 May 2024 22:21:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

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] [] [2015-10-10 17:12:28] [30eae7c09eb039ed7d9b26159bd388f7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
88.52
90.15
88.63
88.32
88.51
88.53
88.35
88.4
88.41
88.47
88.46
89.28
89.11
90.74
89.49
88.62
89.09
89.14
89.45
89.33
89.44
89.54
89.52
90.48
90.04
91.93
91.25
89.27
90.57
90.79
90.83
90.76
91.29
91.48
91.63
92.63
91.7
93.86
92.45
92.03
92.71
93.15
92.98
92.73
93.29
93.2
93.34
93.95
93.43
95.67
94.02
93.51
94.6
94.27
94.05
94.1
94.51
94.53
94.2
93.58
94.94
96.24
95.77
94.41
95.09
95.37
95.17
95.05
95.33
95.42
95.95
96.12
96.94
98.73
98.03
97.42
98.39
98.77
98.46
98.3
98.25
98.33
98.61
98.99
98.8
100.26
100.85
98.87
99.81
100.44
100.07
99.8
99.77
99.9
100.58
100.86
101.05
101.3
101.45
101.13
101.38
101.03
100.79
100.84
101.17
101.36
101.14
101.24

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282264&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282264&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282264&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0188.34160428077460.036681229602977
0.0288.37562614351270.044124232594785
0.0388.41045831040780.0493420391410264
0.0488.44445285733550.0587616229774289
0.0588.48083871134930.0783514875947271
0.0688.52457321942420.113007608815364
0.0788.58074358675270.161197667293882
0.0888.65262638628540.214375977884314
0.0988.73997814231870.260223440759129
0.188.83881626425920.289248439451682
0.1188.94297309570160.29863916992204
0.1289.04653357828290.293349889546749
0.1389.14589389343060.283406006974661
0.1489.24064325611190.279890063199211
0.1589.33321623382430.291042022784437
0.1689.42775882720880.319961646320392
0.1789.52875263664860.364333295802404
0.1889.6398078506970.418477392977899
0.1989.76286546717150.474433156862532
0.289.89791900374540.525061153016941
0.2190.04325475007920.564995438716221
0.2290.19609268352160.591989017995576
0.2390.35340928052970.607611079422423
0.2490.51268593062910.615850135615225
0.2590.67237774544320.621401918738108
0.2690.83201570377970.628730346867641
0.2790.99198556623860.640047778756561
0.2891.15311624690130.655938431137988
0.2991.31623362332990.674590979294907
0.391.48180279039560.69372274041528
0.3191.64972248730870.710253594248307
0.3291.81927976157280.721471864714591
0.3391.98923718083460.725774440010205
0.3492.15800999695720.721639622855328
0.3592.32388891354710.709441262288919
0.3692.48526753657520.689828950393317
0.3792.64083860647550.664562410605887
0.3892.78973029015330.636064607826795
0.3992.93156488392420.606945156413969
0.493.06643728176610.578868516425139
0.4193.19482688693660.553554709181146
0.4293.31747000780960.532124317040156
0.4393.43522613591570.514578301355271
0.4493.54896878402410.500508147307299
0.4593.65952056341870.489453985896753
0.4693.76763642195410.48144116424809
0.4793.87402359578320.475779648727162
0.4893.97937692003280.473038828712584
0.4994.08440692155070.473407645748378
0.594.18984575919740.477026084833139
0.5194.29642958970010.483883071982973
0.5294.40487018087650.493901812098741
0.5394.51583807599450.506494079501717
0.5494.62998034572520.521316760246335
0.5594.74798673521410.538490208260393
0.5694.87070071812960.559191784655671
0.5794.99925105539230.584923769750247
0.5895.13516081961540.617880261429074
0.5995.28038056233390.660240530340587
0.695.43719542425850.71355160260159
0.6195.60797540851980.778028118324409
0.6295.79477325988450.850852571289569
0.6395.99882031841230.927301568286081
0.6496.22001698340770.999832925001269
0.6596.45654640604591.06037054704151
0.6696.70474243468111.10003193755448
0.6796.95930573399111.11244245332366
0.6897.21388718600961.09394805904289
0.6997.46196183900511.04611741507475
0.797.69782816412330.97416534889797
0.7197.91751648784770.887730573965815
0.7298.11939695367360.797986949396023
0.7398.30434184190350.716404215153476
0.7498.47540110618940.652445355445388
0.7598.63706455150120.611267011585036
0.7698.79428054679610.593025302333951
0.7798.95145789211020.592520453034051
0.7899.1116802545550.601836357193683
0.7999.27630427950830.61204692752596
0.899.44499834845120.616495208357313
0.8199.61613708333330.611238380509835
0.8299.78735110873450.595618184778933
0.8399.9560036861780.570411313478206
0.84100.1194546814520.537259711812832
0.85100.2751383249790.496788341305295
0.86100.4206198335160.44972298073592
0.87100.5537988005980.397122331953183
0.88100.6732721912490.341739628323313
0.89100.7786694727570.287847634377349
0.9100.8707146482630.239369661310367
0.91100.9509550363480.19830727388574
0.92101.0213904562330.164725481005378
0.93101.0843163303130.137785607283337
0.94101.1423543862270.117938567714827
0.95101.1981551213140.105148351022829
0.96101.2533767424770.0956191845195146
0.97101.3078912533790.0823857186499766
0.98101.3613092575320.064261447814256
0.99101.4133260939680.0575544271535242

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 88.3416042807746 & 0.036681229602977 \tabularnewline
0.02 & 88.3756261435127 & 0.044124232594785 \tabularnewline
0.03 & 88.4104583104078 & 0.0493420391410264 \tabularnewline
0.04 & 88.4444528573355 & 0.0587616229774289 \tabularnewline
0.05 & 88.4808387113493 & 0.0783514875947271 \tabularnewline
0.06 & 88.5245732194242 & 0.113007608815364 \tabularnewline
0.07 & 88.5807435867527 & 0.161197667293882 \tabularnewline
0.08 & 88.6526263862854 & 0.214375977884314 \tabularnewline
0.09 & 88.7399781423187 & 0.260223440759129 \tabularnewline
0.1 & 88.8388162642592 & 0.289248439451682 \tabularnewline
0.11 & 88.9429730957016 & 0.29863916992204 \tabularnewline
0.12 & 89.0465335782829 & 0.293349889546749 \tabularnewline
0.13 & 89.1458938934306 & 0.283406006974661 \tabularnewline
0.14 & 89.2406432561119 & 0.279890063199211 \tabularnewline
0.15 & 89.3332162338243 & 0.291042022784437 \tabularnewline
0.16 & 89.4277588272088 & 0.319961646320392 \tabularnewline
0.17 & 89.5287526366486 & 0.364333295802404 \tabularnewline
0.18 & 89.639807850697 & 0.418477392977899 \tabularnewline
0.19 & 89.7628654671715 & 0.474433156862532 \tabularnewline
0.2 & 89.8979190037454 & 0.525061153016941 \tabularnewline
0.21 & 90.0432547500792 & 0.564995438716221 \tabularnewline
0.22 & 90.1960926835216 & 0.591989017995576 \tabularnewline
0.23 & 90.3534092805297 & 0.607611079422423 \tabularnewline
0.24 & 90.5126859306291 & 0.615850135615225 \tabularnewline
0.25 & 90.6723777454432 & 0.621401918738108 \tabularnewline
0.26 & 90.8320157037797 & 0.628730346867641 \tabularnewline
0.27 & 90.9919855662386 & 0.640047778756561 \tabularnewline
0.28 & 91.1531162469013 & 0.655938431137988 \tabularnewline
0.29 & 91.3162336233299 & 0.674590979294907 \tabularnewline
0.3 & 91.4818027903956 & 0.69372274041528 \tabularnewline
0.31 & 91.6497224873087 & 0.710253594248307 \tabularnewline
0.32 & 91.8192797615728 & 0.721471864714591 \tabularnewline
0.33 & 91.9892371808346 & 0.725774440010205 \tabularnewline
0.34 & 92.1580099969572 & 0.721639622855328 \tabularnewline
0.35 & 92.3238889135471 & 0.709441262288919 \tabularnewline
0.36 & 92.4852675365752 & 0.689828950393317 \tabularnewline
0.37 & 92.6408386064755 & 0.664562410605887 \tabularnewline
0.38 & 92.7897302901533 & 0.636064607826795 \tabularnewline
0.39 & 92.9315648839242 & 0.606945156413969 \tabularnewline
0.4 & 93.0664372817661 & 0.578868516425139 \tabularnewline
0.41 & 93.1948268869366 & 0.553554709181146 \tabularnewline
0.42 & 93.3174700078096 & 0.532124317040156 \tabularnewline
0.43 & 93.4352261359157 & 0.514578301355271 \tabularnewline
0.44 & 93.5489687840241 & 0.500508147307299 \tabularnewline
0.45 & 93.6595205634187 & 0.489453985896753 \tabularnewline
0.46 & 93.7676364219541 & 0.48144116424809 \tabularnewline
0.47 & 93.8740235957832 & 0.475779648727162 \tabularnewline
0.48 & 93.9793769200328 & 0.473038828712584 \tabularnewline
0.49 & 94.0844069215507 & 0.473407645748378 \tabularnewline
0.5 & 94.1898457591974 & 0.477026084833139 \tabularnewline
0.51 & 94.2964295897001 & 0.483883071982973 \tabularnewline
0.52 & 94.4048701808765 & 0.493901812098741 \tabularnewline
0.53 & 94.5158380759945 & 0.506494079501717 \tabularnewline
0.54 & 94.6299803457252 & 0.521316760246335 \tabularnewline
0.55 & 94.7479867352141 & 0.538490208260393 \tabularnewline
0.56 & 94.8707007181296 & 0.559191784655671 \tabularnewline
0.57 & 94.9992510553923 & 0.584923769750247 \tabularnewline
0.58 & 95.1351608196154 & 0.617880261429074 \tabularnewline
0.59 & 95.2803805623339 & 0.660240530340587 \tabularnewline
0.6 & 95.4371954242585 & 0.71355160260159 \tabularnewline
0.61 & 95.6079754085198 & 0.778028118324409 \tabularnewline
0.62 & 95.7947732598845 & 0.850852571289569 \tabularnewline
0.63 & 95.9988203184123 & 0.927301568286081 \tabularnewline
0.64 & 96.2200169834077 & 0.999832925001269 \tabularnewline
0.65 & 96.4565464060459 & 1.06037054704151 \tabularnewline
0.66 & 96.7047424346811 & 1.10003193755448 \tabularnewline
0.67 & 96.9593057339911 & 1.11244245332366 \tabularnewline
0.68 & 97.2138871860096 & 1.09394805904289 \tabularnewline
0.69 & 97.4619618390051 & 1.04611741507475 \tabularnewline
0.7 & 97.6978281641233 & 0.97416534889797 \tabularnewline
0.71 & 97.9175164878477 & 0.887730573965815 \tabularnewline
0.72 & 98.1193969536736 & 0.797986949396023 \tabularnewline
0.73 & 98.3043418419035 & 0.716404215153476 \tabularnewline
0.74 & 98.4754011061894 & 0.652445355445388 \tabularnewline
0.75 & 98.6370645515012 & 0.611267011585036 \tabularnewline
0.76 & 98.7942805467961 & 0.593025302333951 \tabularnewline
0.77 & 98.9514578921102 & 0.592520453034051 \tabularnewline
0.78 & 99.111680254555 & 0.601836357193683 \tabularnewline
0.79 & 99.2763042795083 & 0.61204692752596 \tabularnewline
0.8 & 99.4449983484512 & 0.616495208357313 \tabularnewline
0.81 & 99.6161370833333 & 0.611238380509835 \tabularnewline
0.82 & 99.7873511087345 & 0.595618184778933 \tabularnewline
0.83 & 99.956003686178 & 0.570411313478206 \tabularnewline
0.84 & 100.119454681452 & 0.537259711812832 \tabularnewline
0.85 & 100.275138324979 & 0.496788341305295 \tabularnewline
0.86 & 100.420619833516 & 0.44972298073592 \tabularnewline
0.87 & 100.553798800598 & 0.397122331953183 \tabularnewline
0.88 & 100.673272191249 & 0.341739628323313 \tabularnewline
0.89 & 100.778669472757 & 0.287847634377349 \tabularnewline
0.9 & 100.870714648263 & 0.239369661310367 \tabularnewline
0.91 & 100.950955036348 & 0.19830727388574 \tabularnewline
0.92 & 101.021390456233 & 0.164725481005378 \tabularnewline
0.93 & 101.084316330313 & 0.137785607283337 \tabularnewline
0.94 & 101.142354386227 & 0.117938567714827 \tabularnewline
0.95 & 101.198155121314 & 0.105148351022829 \tabularnewline
0.96 & 101.253376742477 & 0.0956191845195146 \tabularnewline
0.97 & 101.307891253379 & 0.0823857186499766 \tabularnewline
0.98 & 101.361309257532 & 0.064261447814256 \tabularnewline
0.99 & 101.413326093968 & 0.0575544271535242 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282264&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]88.3416042807746[/C][C]0.036681229602977[/C][/ROW]
[ROW][C]0.02[/C][C]88.3756261435127[/C][C]0.044124232594785[/C][/ROW]
[ROW][C]0.03[/C][C]88.4104583104078[/C][C]0.0493420391410264[/C][/ROW]
[ROW][C]0.04[/C][C]88.4444528573355[/C][C]0.0587616229774289[/C][/ROW]
[ROW][C]0.05[/C][C]88.4808387113493[/C][C]0.0783514875947271[/C][/ROW]
[ROW][C]0.06[/C][C]88.5245732194242[/C][C]0.113007608815364[/C][/ROW]
[ROW][C]0.07[/C][C]88.5807435867527[/C][C]0.161197667293882[/C][/ROW]
[ROW][C]0.08[/C][C]88.6526263862854[/C][C]0.214375977884314[/C][/ROW]
[ROW][C]0.09[/C][C]88.7399781423187[/C][C]0.260223440759129[/C][/ROW]
[ROW][C]0.1[/C][C]88.8388162642592[/C][C]0.289248439451682[/C][/ROW]
[ROW][C]0.11[/C][C]88.9429730957016[/C][C]0.29863916992204[/C][/ROW]
[ROW][C]0.12[/C][C]89.0465335782829[/C][C]0.293349889546749[/C][/ROW]
[ROW][C]0.13[/C][C]89.1458938934306[/C][C]0.283406006974661[/C][/ROW]
[ROW][C]0.14[/C][C]89.2406432561119[/C][C]0.279890063199211[/C][/ROW]
[ROW][C]0.15[/C][C]89.3332162338243[/C][C]0.291042022784437[/C][/ROW]
[ROW][C]0.16[/C][C]89.4277588272088[/C][C]0.319961646320392[/C][/ROW]
[ROW][C]0.17[/C][C]89.5287526366486[/C][C]0.364333295802404[/C][/ROW]
[ROW][C]0.18[/C][C]89.639807850697[/C][C]0.418477392977899[/C][/ROW]
[ROW][C]0.19[/C][C]89.7628654671715[/C][C]0.474433156862532[/C][/ROW]
[ROW][C]0.2[/C][C]89.8979190037454[/C][C]0.525061153016941[/C][/ROW]
[ROW][C]0.21[/C][C]90.0432547500792[/C][C]0.564995438716221[/C][/ROW]
[ROW][C]0.22[/C][C]90.1960926835216[/C][C]0.591989017995576[/C][/ROW]
[ROW][C]0.23[/C][C]90.3534092805297[/C][C]0.607611079422423[/C][/ROW]
[ROW][C]0.24[/C][C]90.5126859306291[/C][C]0.615850135615225[/C][/ROW]
[ROW][C]0.25[/C][C]90.6723777454432[/C][C]0.621401918738108[/C][/ROW]
[ROW][C]0.26[/C][C]90.8320157037797[/C][C]0.628730346867641[/C][/ROW]
[ROW][C]0.27[/C][C]90.9919855662386[/C][C]0.640047778756561[/C][/ROW]
[ROW][C]0.28[/C][C]91.1531162469013[/C][C]0.655938431137988[/C][/ROW]
[ROW][C]0.29[/C][C]91.3162336233299[/C][C]0.674590979294907[/C][/ROW]
[ROW][C]0.3[/C][C]91.4818027903956[/C][C]0.69372274041528[/C][/ROW]
[ROW][C]0.31[/C][C]91.6497224873087[/C][C]0.710253594248307[/C][/ROW]
[ROW][C]0.32[/C][C]91.8192797615728[/C][C]0.721471864714591[/C][/ROW]
[ROW][C]0.33[/C][C]91.9892371808346[/C][C]0.725774440010205[/C][/ROW]
[ROW][C]0.34[/C][C]92.1580099969572[/C][C]0.721639622855328[/C][/ROW]
[ROW][C]0.35[/C][C]92.3238889135471[/C][C]0.709441262288919[/C][/ROW]
[ROW][C]0.36[/C][C]92.4852675365752[/C][C]0.689828950393317[/C][/ROW]
[ROW][C]0.37[/C][C]92.6408386064755[/C][C]0.664562410605887[/C][/ROW]
[ROW][C]0.38[/C][C]92.7897302901533[/C][C]0.636064607826795[/C][/ROW]
[ROW][C]0.39[/C][C]92.9315648839242[/C][C]0.606945156413969[/C][/ROW]
[ROW][C]0.4[/C][C]93.0664372817661[/C][C]0.578868516425139[/C][/ROW]
[ROW][C]0.41[/C][C]93.1948268869366[/C][C]0.553554709181146[/C][/ROW]
[ROW][C]0.42[/C][C]93.3174700078096[/C][C]0.532124317040156[/C][/ROW]
[ROW][C]0.43[/C][C]93.4352261359157[/C][C]0.514578301355271[/C][/ROW]
[ROW][C]0.44[/C][C]93.5489687840241[/C][C]0.500508147307299[/C][/ROW]
[ROW][C]0.45[/C][C]93.6595205634187[/C][C]0.489453985896753[/C][/ROW]
[ROW][C]0.46[/C][C]93.7676364219541[/C][C]0.48144116424809[/C][/ROW]
[ROW][C]0.47[/C][C]93.8740235957832[/C][C]0.475779648727162[/C][/ROW]
[ROW][C]0.48[/C][C]93.9793769200328[/C][C]0.473038828712584[/C][/ROW]
[ROW][C]0.49[/C][C]94.0844069215507[/C][C]0.473407645748378[/C][/ROW]
[ROW][C]0.5[/C][C]94.1898457591974[/C][C]0.477026084833139[/C][/ROW]
[ROW][C]0.51[/C][C]94.2964295897001[/C][C]0.483883071982973[/C][/ROW]
[ROW][C]0.52[/C][C]94.4048701808765[/C][C]0.493901812098741[/C][/ROW]
[ROW][C]0.53[/C][C]94.5158380759945[/C][C]0.506494079501717[/C][/ROW]
[ROW][C]0.54[/C][C]94.6299803457252[/C][C]0.521316760246335[/C][/ROW]
[ROW][C]0.55[/C][C]94.7479867352141[/C][C]0.538490208260393[/C][/ROW]
[ROW][C]0.56[/C][C]94.8707007181296[/C][C]0.559191784655671[/C][/ROW]
[ROW][C]0.57[/C][C]94.9992510553923[/C][C]0.584923769750247[/C][/ROW]
[ROW][C]0.58[/C][C]95.1351608196154[/C][C]0.617880261429074[/C][/ROW]
[ROW][C]0.59[/C][C]95.2803805623339[/C][C]0.660240530340587[/C][/ROW]
[ROW][C]0.6[/C][C]95.4371954242585[/C][C]0.71355160260159[/C][/ROW]
[ROW][C]0.61[/C][C]95.6079754085198[/C][C]0.778028118324409[/C][/ROW]
[ROW][C]0.62[/C][C]95.7947732598845[/C][C]0.850852571289569[/C][/ROW]
[ROW][C]0.63[/C][C]95.9988203184123[/C][C]0.927301568286081[/C][/ROW]
[ROW][C]0.64[/C][C]96.2200169834077[/C][C]0.999832925001269[/C][/ROW]
[ROW][C]0.65[/C][C]96.4565464060459[/C][C]1.06037054704151[/C][/ROW]
[ROW][C]0.66[/C][C]96.7047424346811[/C][C]1.10003193755448[/C][/ROW]
[ROW][C]0.67[/C][C]96.9593057339911[/C][C]1.11244245332366[/C][/ROW]
[ROW][C]0.68[/C][C]97.2138871860096[/C][C]1.09394805904289[/C][/ROW]
[ROW][C]0.69[/C][C]97.4619618390051[/C][C]1.04611741507475[/C][/ROW]
[ROW][C]0.7[/C][C]97.6978281641233[/C][C]0.97416534889797[/C][/ROW]
[ROW][C]0.71[/C][C]97.9175164878477[/C][C]0.887730573965815[/C][/ROW]
[ROW][C]0.72[/C][C]98.1193969536736[/C][C]0.797986949396023[/C][/ROW]
[ROW][C]0.73[/C][C]98.3043418419035[/C][C]0.716404215153476[/C][/ROW]
[ROW][C]0.74[/C][C]98.4754011061894[/C][C]0.652445355445388[/C][/ROW]
[ROW][C]0.75[/C][C]98.6370645515012[/C][C]0.611267011585036[/C][/ROW]
[ROW][C]0.76[/C][C]98.7942805467961[/C][C]0.593025302333951[/C][/ROW]
[ROW][C]0.77[/C][C]98.9514578921102[/C][C]0.592520453034051[/C][/ROW]
[ROW][C]0.78[/C][C]99.111680254555[/C][C]0.601836357193683[/C][/ROW]
[ROW][C]0.79[/C][C]99.2763042795083[/C][C]0.61204692752596[/C][/ROW]
[ROW][C]0.8[/C][C]99.4449983484512[/C][C]0.616495208357313[/C][/ROW]
[ROW][C]0.81[/C][C]99.6161370833333[/C][C]0.611238380509835[/C][/ROW]
[ROW][C]0.82[/C][C]99.7873511087345[/C][C]0.595618184778933[/C][/ROW]
[ROW][C]0.83[/C][C]99.956003686178[/C][C]0.570411313478206[/C][/ROW]
[ROW][C]0.84[/C][C]100.119454681452[/C][C]0.537259711812832[/C][/ROW]
[ROW][C]0.85[/C][C]100.275138324979[/C][C]0.496788341305295[/C][/ROW]
[ROW][C]0.86[/C][C]100.420619833516[/C][C]0.44972298073592[/C][/ROW]
[ROW][C]0.87[/C][C]100.553798800598[/C][C]0.397122331953183[/C][/ROW]
[ROW][C]0.88[/C][C]100.673272191249[/C][C]0.341739628323313[/C][/ROW]
[ROW][C]0.89[/C][C]100.778669472757[/C][C]0.287847634377349[/C][/ROW]
[ROW][C]0.9[/C][C]100.870714648263[/C][C]0.239369661310367[/C][/ROW]
[ROW][C]0.91[/C][C]100.950955036348[/C][C]0.19830727388574[/C][/ROW]
[ROW][C]0.92[/C][C]101.021390456233[/C][C]0.164725481005378[/C][/ROW]
[ROW][C]0.93[/C][C]101.084316330313[/C][C]0.137785607283337[/C][/ROW]
[ROW][C]0.94[/C][C]101.142354386227[/C][C]0.117938567714827[/C][/ROW]
[ROW][C]0.95[/C][C]101.198155121314[/C][C]0.105148351022829[/C][/ROW]
[ROW][C]0.96[/C][C]101.253376742477[/C][C]0.0956191845195146[/C][/ROW]
[ROW][C]0.97[/C][C]101.307891253379[/C][C]0.0823857186499766[/C][/ROW]
[ROW][C]0.98[/C][C]101.361309257532[/C][C]0.064261447814256[/C][/ROW]
[ROW][C]0.99[/C][C]101.413326093968[/C][C]0.0575544271535242[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282264&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282264&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
0.0188.34160428077460.036681229602977
0.0288.37562614351270.044124232594785
0.0388.41045831040780.0493420391410264
0.0488.44445285733550.0587616229774289
0.0588.48083871134930.0783514875947271
0.0688.52457321942420.113007608815364
0.0788.58074358675270.161197667293882
0.0888.65262638628540.214375977884314
0.0988.73997814231870.260223440759129
0.188.83881626425920.289248439451682
0.1188.94297309570160.29863916992204
0.1289.04653357828290.293349889546749
0.1389.14589389343060.283406006974661
0.1489.24064325611190.279890063199211
0.1589.33321623382430.291042022784437
0.1689.42775882720880.319961646320392
0.1789.52875263664860.364333295802404
0.1889.6398078506970.418477392977899
0.1989.76286546717150.474433156862532
0.289.89791900374540.525061153016941
0.2190.04325475007920.564995438716221
0.2290.19609268352160.591989017995576
0.2390.35340928052970.607611079422423
0.2490.51268593062910.615850135615225
0.2590.67237774544320.621401918738108
0.2690.83201570377970.628730346867641
0.2790.99198556623860.640047778756561
0.2891.15311624690130.655938431137988
0.2991.31623362332990.674590979294907
0.391.48180279039560.69372274041528
0.3191.64972248730870.710253594248307
0.3291.81927976157280.721471864714591
0.3391.98923718083460.725774440010205
0.3492.15800999695720.721639622855328
0.3592.32388891354710.709441262288919
0.3692.48526753657520.689828950393317
0.3792.64083860647550.664562410605887
0.3892.78973029015330.636064607826795
0.3992.93156488392420.606945156413969
0.493.06643728176610.578868516425139
0.4193.19482688693660.553554709181146
0.4293.31747000780960.532124317040156
0.4393.43522613591570.514578301355271
0.4493.54896878402410.500508147307299
0.4593.65952056341870.489453985896753
0.4693.76763642195410.48144116424809
0.4793.87402359578320.475779648727162
0.4893.97937692003280.473038828712584
0.4994.08440692155070.473407645748378
0.594.18984575919740.477026084833139
0.5194.29642958970010.483883071982973
0.5294.40487018087650.493901812098741
0.5394.51583807599450.506494079501717
0.5494.62998034572520.521316760246335
0.5594.74798673521410.538490208260393
0.5694.87070071812960.559191784655671
0.5794.99925105539230.584923769750247
0.5895.13516081961540.617880261429074
0.5995.28038056233390.660240530340587
0.695.43719542425850.71355160260159
0.6195.60797540851980.778028118324409
0.6295.79477325988450.850852571289569
0.6395.99882031841230.927301568286081
0.6496.22001698340770.999832925001269
0.6596.45654640604591.06037054704151
0.6696.70474243468111.10003193755448
0.6796.95930573399111.11244245332366
0.6897.21388718600961.09394805904289
0.6997.46196183900511.04611741507475
0.797.69782816412330.97416534889797
0.7197.91751648784770.887730573965815
0.7298.11939695367360.797986949396023
0.7398.30434184190350.716404215153476
0.7498.47540110618940.652445355445388
0.7598.63706455150120.611267011585036
0.7698.79428054679610.593025302333951
0.7798.95145789211020.592520453034051
0.7899.1116802545550.601836357193683
0.7999.27630427950830.61204692752596
0.899.44499834845120.616495208357313
0.8199.61613708333330.611238380509835
0.8299.78735110873450.595618184778933
0.8399.9560036861780.570411313478206
0.84100.1194546814520.537259711812832
0.85100.2751383249790.496788341305295
0.86100.4206198335160.44972298073592
0.87100.5537988005980.397122331953183
0.88100.6732721912490.341739628323313
0.89100.7786694727570.287847634377349
0.9100.8707146482630.239369661310367
0.91100.9509550363480.19830727388574
0.92101.0213904562330.164725481005378
0.93101.0843163303130.137785607283337
0.94101.1423543862270.117938567714827
0.95101.1981551213140.105148351022829
0.96101.2533767424770.0956191845195146
0.97101.3078912533790.0823857186499766
0.98101.3613092575320.064261447814256
0.99101.4133260939680.0575544271535242


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')