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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 computationFri, 09 Oct 2015 10:21:53 +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/09/t1444382530lsxk9nav1qwt8ul.htm/, Retrieved Sat, 18 May 2024 21:27:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281768, Retrieved Sat, 18 May 2024 21:27:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

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] [] [2015-10-09 09:21:53] [f03ff3651993e75eb8cd64bbe7aa965c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
93.58
95.79
94.77
94.2
96.23
92.3
88.86
86.44
86.21
88.57
90.69
89
86.88
90.65
90.68
89.64
102.62
101.84
92.51
94.29
94.68
96.94
94.03
89.65
84.9
89.07
89.8
93.22
92.23
98.41
96.63
89.8
90
92.13
93.27
90.81
85.42
88.28
88.73
90.18
92.74
96.13
94.85
94.25
96.94
101.22
98.71
95.51
93.91
98.17
97.59
99.64
107.88
108.49
100.25
99.27
101.73
101.25
97.09
94.74
94.53
93.48
96.05
106.22
98.33
99.86
93.78
88.96
83.77
89.46
86.78
88.

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=281768&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=281768&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281768&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
0.0184.11565772126770.982135895999238
0.0284.62246803230560.855864697329752
0.0385.1305203375650.79874933899036
0.0485.5775365943420.779384234314837
0.0585.96403422820930.771970051842276
0.0686.30755831584860.77999744472842
0.0786.62409812662480.807299058283766
0.0886.92422353126090.842728668665485
0.0987.2127906972650.867618834156339
0.187.48962314092530.867229732335522
0.1187.75120971099750.836710357556886
0.1287.99300999177820.780617269996217
0.1388.21151860046760.709551527460271
0.1488.40546344565090.635672644919649
0.1588.57601133408750.56942131639474
0.1688.72624030699440.517452448299521
0.1788.86028084879560.482355727114683
0.1888.98247643783490.463055800925163
0.1989.09677355591060.456482913169214
0.289.20640873473270.458827154258472
0.2189.31385907595240.467260921901895
0.2289.4209713620220.480428679054168
0.2389.52917364228350.497713026968453
0.2489.6396874419010.519928848670528
0.2589.75368544661810.54799165315487
0.2689.87236880452960.582565475048824
0.2789.99696334803370.624032313086017
0.2890.12865136135110.671878233261509
0.2990.26846413260240.724991092507329
0.390.41716185731120.781484408003908
0.3190.57512413929440.838802045027989
0.3290.74226896113630.89421049625643
0.3390.91801222818080.944723277709811
0.3491.10127434857430.987593026640065
0.3591.29053462445841.02059191912429
0.3691.48392833722851.04176422220119
0.3791.67937569057541.05064998238273
0.3891.87472720097621.04708106980717
0.3992.0679078721871.03182894453731
0.492.25704335421231.00684545643694
0.4192.44055523998320.973678917743001
0.4292.61721876244970.934833322541019
0.4392.78618289314960.892271992761965
0.4492.94695861934490.847903311919281
0.4593.09938484596390.803279542691161
0.4693.2435825183380.759924064182913
0.4793.37990649681370.718700443171894
0.4893.50890220335910.680593854372153
0.4993.63127098896120.646434959290926
0.593.74784525181140.616769622429669
0.5193.85957197041260.591932455933795
0.5293.96750161310840.573107601588225
0.5394.07277829705210.560449766827757
0.5494.1766265420710.55449465300199
0.5594.28033004451580.555588486914684
0.5694.38519873712610.56404240658161
0.5794.49252217564920.579530995639394
0.5894.60351004162460.601475315412175
0.5994.71922403250080.628795696900736
0.694.84050902839560.659866838825325
0.6194.96793428259070.692765119719971
0.6295.10175648593440.725524387691072
0.6395.2419151194950.755969535516465
0.6495.38806627903410.782680499555334
0.6595.53965460980720.804417889225041
0.6695.69601535006260.82107782877292
0.6795.85649147017930.8327358940591
0.6896.02054632669440.84089191913378
0.6996.1878515602660.846780026436524
0.796.35833380666780.852324570698548
0.7196.53217179677710.858910867243872
0.7296.70974617960130.867621922646269
0.7396.89155560930040.878597362616525
0.7497.07812148000410.891626831513894
0.7597.2699074538320.905689146737865
0.7697.46727678728470.919629470563035
0.7797.67050030316840.932510623967536
0.7897.87981271952260.943875889510901
0.7998.09549883293820.954174172935987
0.898.31797837785710.964121704265162
0.8198.54785308533040.97482496542142
0.8298.78588378497910.987133888437732
0.8399.03288076578011.00110524428033
0.8499.28951991855071.01584366940395
0.8599.55614653267841.02928935951552
0.8699.83270514753981.03837229282547
0.87100.1190359351641.04020202102911
0.88100.4158760291961.03404877506828
0.89100.726913907731.02522489614661
0.9101.0620075255561.03029303211413
0.91101.4409822055621.08206949117134
0.92101.8961520244881.22583138773107
0.93102.4701611005551.49338126039501
0.94103.2050861196851.86382652767546
0.95104.1210478894762.23857653082861
0.96105.1894360833622.44847002956741
0.97106.3150389850242.31576395035107
0.98107.3445047926681.78136181143835
0.99108.1081856206251.05138996442701

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.1156577212677 & 0.982135895999238 \tabularnewline
0.02 & 84.6224680323056 & 0.855864697329752 \tabularnewline
0.03 & 85.130520337565 & 0.79874933899036 \tabularnewline
0.04 & 85.577536594342 & 0.779384234314837 \tabularnewline
0.05 & 85.9640342282093 & 0.771970051842276 \tabularnewline
0.06 & 86.3075583158486 & 0.77999744472842 \tabularnewline
0.07 & 86.6240981266248 & 0.807299058283766 \tabularnewline
0.08 & 86.9242235312609 & 0.842728668665485 \tabularnewline
0.09 & 87.212790697265 & 0.867618834156339 \tabularnewline
0.1 & 87.4896231409253 & 0.867229732335522 \tabularnewline
0.11 & 87.7512097109975 & 0.836710357556886 \tabularnewline
0.12 & 87.9930099917782 & 0.780617269996217 \tabularnewline
0.13 & 88.2115186004676 & 0.709551527460271 \tabularnewline
0.14 & 88.4054634456509 & 0.635672644919649 \tabularnewline
0.15 & 88.5760113340875 & 0.56942131639474 \tabularnewline
0.16 & 88.7262403069944 & 0.517452448299521 \tabularnewline
0.17 & 88.8602808487956 & 0.482355727114683 \tabularnewline
0.18 & 88.9824764378349 & 0.463055800925163 \tabularnewline
0.19 & 89.0967735559106 & 0.456482913169214 \tabularnewline
0.2 & 89.2064087347327 & 0.458827154258472 \tabularnewline
0.21 & 89.3138590759524 & 0.467260921901895 \tabularnewline
0.22 & 89.420971362022 & 0.480428679054168 \tabularnewline
0.23 & 89.5291736422835 & 0.497713026968453 \tabularnewline
0.24 & 89.639687441901 & 0.519928848670528 \tabularnewline
0.25 & 89.7536854466181 & 0.54799165315487 \tabularnewline
0.26 & 89.8723688045296 & 0.582565475048824 \tabularnewline
0.27 & 89.9969633480337 & 0.624032313086017 \tabularnewline
0.28 & 90.1286513613511 & 0.671878233261509 \tabularnewline
0.29 & 90.2684641326024 & 0.724991092507329 \tabularnewline
0.3 & 90.4171618573112 & 0.781484408003908 \tabularnewline
0.31 & 90.5751241392944 & 0.838802045027989 \tabularnewline
0.32 & 90.7422689611363 & 0.89421049625643 \tabularnewline
0.33 & 90.9180122281808 & 0.944723277709811 \tabularnewline
0.34 & 91.1012743485743 & 0.987593026640065 \tabularnewline
0.35 & 91.2905346244584 & 1.02059191912429 \tabularnewline
0.36 & 91.4839283372285 & 1.04176422220119 \tabularnewline
0.37 & 91.6793756905754 & 1.05064998238273 \tabularnewline
0.38 & 91.8747272009762 & 1.04708106980717 \tabularnewline
0.39 & 92.067907872187 & 1.03182894453731 \tabularnewline
0.4 & 92.2570433542123 & 1.00684545643694 \tabularnewline
0.41 & 92.4405552399832 & 0.973678917743001 \tabularnewline
0.42 & 92.6172187624497 & 0.934833322541019 \tabularnewline
0.43 & 92.7861828931496 & 0.892271992761965 \tabularnewline
0.44 & 92.9469586193449 & 0.847903311919281 \tabularnewline
0.45 & 93.0993848459639 & 0.803279542691161 \tabularnewline
0.46 & 93.243582518338 & 0.759924064182913 \tabularnewline
0.47 & 93.3799064968137 & 0.718700443171894 \tabularnewline
0.48 & 93.5089022033591 & 0.680593854372153 \tabularnewline
0.49 & 93.6312709889612 & 0.646434959290926 \tabularnewline
0.5 & 93.7478452518114 & 0.616769622429669 \tabularnewline
0.51 & 93.8595719704126 & 0.591932455933795 \tabularnewline
0.52 & 93.9675016131084 & 0.573107601588225 \tabularnewline
0.53 & 94.0727782970521 & 0.560449766827757 \tabularnewline
0.54 & 94.176626542071 & 0.55449465300199 \tabularnewline
0.55 & 94.2803300445158 & 0.555588486914684 \tabularnewline
0.56 & 94.3851987371261 & 0.56404240658161 \tabularnewline
0.57 & 94.4925221756492 & 0.579530995639394 \tabularnewline
0.58 & 94.6035100416246 & 0.601475315412175 \tabularnewline
0.59 & 94.7192240325008 & 0.628795696900736 \tabularnewline
0.6 & 94.8405090283956 & 0.659866838825325 \tabularnewline
0.61 & 94.9679342825907 & 0.692765119719971 \tabularnewline
0.62 & 95.1017564859344 & 0.725524387691072 \tabularnewline
0.63 & 95.241915119495 & 0.755969535516465 \tabularnewline
0.64 & 95.3880662790341 & 0.782680499555334 \tabularnewline
0.65 & 95.5396546098072 & 0.804417889225041 \tabularnewline
0.66 & 95.6960153500626 & 0.82107782877292 \tabularnewline
0.67 & 95.8564914701793 & 0.8327358940591 \tabularnewline
0.68 & 96.0205463266944 & 0.84089191913378 \tabularnewline
0.69 & 96.187851560266 & 0.846780026436524 \tabularnewline
0.7 & 96.3583338066678 & 0.852324570698548 \tabularnewline
0.71 & 96.5321717967771 & 0.858910867243872 \tabularnewline
0.72 & 96.7097461796013 & 0.867621922646269 \tabularnewline
0.73 & 96.8915556093004 & 0.878597362616525 \tabularnewline
0.74 & 97.0781214800041 & 0.891626831513894 \tabularnewline
0.75 & 97.269907453832 & 0.905689146737865 \tabularnewline
0.76 & 97.4672767872847 & 0.919629470563035 \tabularnewline
0.77 & 97.6705003031684 & 0.932510623967536 \tabularnewline
0.78 & 97.8798127195226 & 0.943875889510901 \tabularnewline
0.79 & 98.0954988329382 & 0.954174172935987 \tabularnewline
0.8 & 98.3179783778571 & 0.964121704265162 \tabularnewline
0.81 & 98.5478530853304 & 0.97482496542142 \tabularnewline
0.82 & 98.7858837849791 & 0.987133888437732 \tabularnewline
0.83 & 99.0328807657801 & 1.00110524428033 \tabularnewline
0.84 & 99.2895199185507 & 1.01584366940395 \tabularnewline
0.85 & 99.5561465326784 & 1.02928935951552 \tabularnewline
0.86 & 99.8327051475398 & 1.03837229282547 \tabularnewline
0.87 & 100.119035935164 & 1.04020202102911 \tabularnewline
0.88 & 100.415876029196 & 1.03404877506828 \tabularnewline
0.89 & 100.72691390773 & 1.02522489614661 \tabularnewline
0.9 & 101.062007525556 & 1.03029303211413 \tabularnewline
0.91 & 101.440982205562 & 1.08206949117134 \tabularnewline
0.92 & 101.896152024488 & 1.22583138773107 \tabularnewline
0.93 & 102.470161100555 & 1.49338126039501 \tabularnewline
0.94 & 103.205086119685 & 1.86382652767546 \tabularnewline
0.95 & 104.121047889476 & 2.23857653082861 \tabularnewline
0.96 & 105.189436083362 & 2.44847002956741 \tabularnewline
0.97 & 106.315038985024 & 2.31576395035107 \tabularnewline
0.98 & 107.344504792668 & 1.78136181143835 \tabularnewline
0.99 & 108.108185620625 & 1.05138996442701 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281768&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]84.1156577212677[/C][C]0.982135895999238[/C][/ROW]
[ROW][C]0.02[/C][C]84.6224680323056[/C][C]0.855864697329752[/C][/ROW]
[ROW][C]0.03[/C][C]85.130520337565[/C][C]0.79874933899036[/C][/ROW]
[ROW][C]0.04[/C][C]85.577536594342[/C][C]0.779384234314837[/C][/ROW]
[ROW][C]0.05[/C][C]85.9640342282093[/C][C]0.771970051842276[/C][/ROW]
[ROW][C]0.06[/C][C]86.3075583158486[/C][C]0.77999744472842[/C][/ROW]
[ROW][C]0.07[/C][C]86.6240981266248[/C][C]0.807299058283766[/C][/ROW]
[ROW][C]0.08[/C][C]86.9242235312609[/C][C]0.842728668665485[/C][/ROW]
[ROW][C]0.09[/C][C]87.212790697265[/C][C]0.867618834156339[/C][/ROW]
[ROW][C]0.1[/C][C]87.4896231409253[/C][C]0.867229732335522[/C][/ROW]
[ROW][C]0.11[/C][C]87.7512097109975[/C][C]0.836710357556886[/C][/ROW]
[ROW][C]0.12[/C][C]87.9930099917782[/C][C]0.780617269996217[/C][/ROW]
[ROW][C]0.13[/C][C]88.2115186004676[/C][C]0.709551527460271[/C][/ROW]
[ROW][C]0.14[/C][C]88.4054634456509[/C][C]0.635672644919649[/C][/ROW]
[ROW][C]0.15[/C][C]88.5760113340875[/C][C]0.56942131639474[/C][/ROW]
[ROW][C]0.16[/C][C]88.7262403069944[/C][C]0.517452448299521[/C][/ROW]
[ROW][C]0.17[/C][C]88.8602808487956[/C][C]0.482355727114683[/C][/ROW]
[ROW][C]0.18[/C][C]88.9824764378349[/C][C]0.463055800925163[/C][/ROW]
[ROW][C]0.19[/C][C]89.0967735559106[/C][C]0.456482913169214[/C][/ROW]
[ROW][C]0.2[/C][C]89.2064087347327[/C][C]0.458827154258472[/C][/ROW]
[ROW][C]0.21[/C][C]89.3138590759524[/C][C]0.467260921901895[/C][/ROW]
[ROW][C]0.22[/C][C]89.420971362022[/C][C]0.480428679054168[/C][/ROW]
[ROW][C]0.23[/C][C]89.5291736422835[/C][C]0.497713026968453[/C][/ROW]
[ROW][C]0.24[/C][C]89.639687441901[/C][C]0.519928848670528[/C][/ROW]
[ROW][C]0.25[/C][C]89.7536854466181[/C][C]0.54799165315487[/C][/ROW]
[ROW][C]0.26[/C][C]89.8723688045296[/C][C]0.582565475048824[/C][/ROW]
[ROW][C]0.27[/C][C]89.9969633480337[/C][C]0.624032313086017[/C][/ROW]
[ROW][C]0.28[/C][C]90.1286513613511[/C][C]0.671878233261509[/C][/ROW]
[ROW][C]0.29[/C][C]90.2684641326024[/C][C]0.724991092507329[/C][/ROW]
[ROW][C]0.3[/C][C]90.4171618573112[/C][C]0.781484408003908[/C][/ROW]
[ROW][C]0.31[/C][C]90.5751241392944[/C][C]0.838802045027989[/C][/ROW]
[ROW][C]0.32[/C][C]90.7422689611363[/C][C]0.89421049625643[/C][/ROW]
[ROW][C]0.33[/C][C]90.9180122281808[/C][C]0.944723277709811[/C][/ROW]
[ROW][C]0.34[/C][C]91.1012743485743[/C][C]0.987593026640065[/C][/ROW]
[ROW][C]0.35[/C][C]91.2905346244584[/C][C]1.02059191912429[/C][/ROW]
[ROW][C]0.36[/C][C]91.4839283372285[/C][C]1.04176422220119[/C][/ROW]
[ROW][C]0.37[/C][C]91.6793756905754[/C][C]1.05064998238273[/C][/ROW]
[ROW][C]0.38[/C][C]91.8747272009762[/C][C]1.04708106980717[/C][/ROW]
[ROW][C]0.39[/C][C]92.067907872187[/C][C]1.03182894453731[/C][/ROW]
[ROW][C]0.4[/C][C]92.2570433542123[/C][C]1.00684545643694[/C][/ROW]
[ROW][C]0.41[/C][C]92.4405552399832[/C][C]0.973678917743001[/C][/ROW]
[ROW][C]0.42[/C][C]92.6172187624497[/C][C]0.934833322541019[/C][/ROW]
[ROW][C]0.43[/C][C]92.7861828931496[/C][C]0.892271992761965[/C][/ROW]
[ROW][C]0.44[/C][C]92.9469586193449[/C][C]0.847903311919281[/C][/ROW]
[ROW][C]0.45[/C][C]93.0993848459639[/C][C]0.803279542691161[/C][/ROW]
[ROW][C]0.46[/C][C]93.243582518338[/C][C]0.759924064182913[/C][/ROW]
[ROW][C]0.47[/C][C]93.3799064968137[/C][C]0.718700443171894[/C][/ROW]
[ROW][C]0.48[/C][C]93.5089022033591[/C][C]0.680593854372153[/C][/ROW]
[ROW][C]0.49[/C][C]93.6312709889612[/C][C]0.646434959290926[/C][/ROW]
[ROW][C]0.5[/C][C]93.7478452518114[/C][C]0.616769622429669[/C][/ROW]
[ROW][C]0.51[/C][C]93.8595719704126[/C][C]0.591932455933795[/C][/ROW]
[ROW][C]0.52[/C][C]93.9675016131084[/C][C]0.573107601588225[/C][/ROW]
[ROW][C]0.53[/C][C]94.0727782970521[/C][C]0.560449766827757[/C][/ROW]
[ROW][C]0.54[/C][C]94.176626542071[/C][C]0.55449465300199[/C][/ROW]
[ROW][C]0.55[/C][C]94.2803300445158[/C][C]0.555588486914684[/C][/ROW]
[ROW][C]0.56[/C][C]94.3851987371261[/C][C]0.56404240658161[/C][/ROW]
[ROW][C]0.57[/C][C]94.4925221756492[/C][C]0.579530995639394[/C][/ROW]
[ROW][C]0.58[/C][C]94.6035100416246[/C][C]0.601475315412175[/C][/ROW]
[ROW][C]0.59[/C][C]94.7192240325008[/C][C]0.628795696900736[/C][/ROW]
[ROW][C]0.6[/C][C]94.8405090283956[/C][C]0.659866838825325[/C][/ROW]
[ROW][C]0.61[/C][C]94.9679342825907[/C][C]0.692765119719971[/C][/ROW]
[ROW][C]0.62[/C][C]95.1017564859344[/C][C]0.725524387691072[/C][/ROW]
[ROW][C]0.63[/C][C]95.241915119495[/C][C]0.755969535516465[/C][/ROW]
[ROW][C]0.64[/C][C]95.3880662790341[/C][C]0.782680499555334[/C][/ROW]
[ROW][C]0.65[/C][C]95.5396546098072[/C][C]0.804417889225041[/C][/ROW]
[ROW][C]0.66[/C][C]95.6960153500626[/C][C]0.82107782877292[/C][/ROW]
[ROW][C]0.67[/C][C]95.8564914701793[/C][C]0.8327358940591[/C][/ROW]
[ROW][C]0.68[/C][C]96.0205463266944[/C][C]0.84089191913378[/C][/ROW]
[ROW][C]0.69[/C][C]96.187851560266[/C][C]0.846780026436524[/C][/ROW]
[ROW][C]0.7[/C][C]96.3583338066678[/C][C]0.852324570698548[/C][/ROW]
[ROW][C]0.71[/C][C]96.5321717967771[/C][C]0.858910867243872[/C][/ROW]
[ROW][C]0.72[/C][C]96.7097461796013[/C][C]0.867621922646269[/C][/ROW]
[ROW][C]0.73[/C][C]96.8915556093004[/C][C]0.878597362616525[/C][/ROW]
[ROW][C]0.74[/C][C]97.0781214800041[/C][C]0.891626831513894[/C][/ROW]
[ROW][C]0.75[/C][C]97.269907453832[/C][C]0.905689146737865[/C][/ROW]
[ROW][C]0.76[/C][C]97.4672767872847[/C][C]0.919629470563035[/C][/ROW]
[ROW][C]0.77[/C][C]97.6705003031684[/C][C]0.932510623967536[/C][/ROW]
[ROW][C]0.78[/C][C]97.8798127195226[/C][C]0.943875889510901[/C][/ROW]
[ROW][C]0.79[/C][C]98.0954988329382[/C][C]0.954174172935987[/C][/ROW]
[ROW][C]0.8[/C][C]98.3179783778571[/C][C]0.964121704265162[/C][/ROW]
[ROW][C]0.81[/C][C]98.5478530853304[/C][C]0.97482496542142[/C][/ROW]
[ROW][C]0.82[/C][C]98.7858837849791[/C][C]0.987133888437732[/C][/ROW]
[ROW][C]0.83[/C][C]99.0328807657801[/C][C]1.00110524428033[/C][/ROW]
[ROW][C]0.84[/C][C]99.2895199185507[/C][C]1.01584366940395[/C][/ROW]
[ROW][C]0.85[/C][C]99.5561465326784[/C][C]1.02928935951552[/C][/ROW]
[ROW][C]0.86[/C][C]99.8327051475398[/C][C]1.03837229282547[/C][/ROW]
[ROW][C]0.87[/C][C]100.119035935164[/C][C]1.04020202102911[/C][/ROW]
[ROW][C]0.88[/C][C]100.415876029196[/C][C]1.03404877506828[/C][/ROW]
[ROW][C]0.89[/C][C]100.72691390773[/C][C]1.02522489614661[/C][/ROW]
[ROW][C]0.9[/C][C]101.062007525556[/C][C]1.03029303211413[/C][/ROW]
[ROW][C]0.91[/C][C]101.440982205562[/C][C]1.08206949117134[/C][/ROW]
[ROW][C]0.92[/C][C]101.896152024488[/C][C]1.22583138773107[/C][/ROW]
[ROW][C]0.93[/C][C]102.470161100555[/C][C]1.49338126039501[/C][/ROW]
[ROW][C]0.94[/C][C]103.205086119685[/C][C]1.86382652767546[/C][/ROW]
[ROW][C]0.95[/C][C]104.121047889476[/C][C]2.23857653082861[/C][/ROW]
[ROW][C]0.96[/C][C]105.189436083362[/C][C]2.44847002956741[/C][/ROW]
[ROW][C]0.97[/C][C]106.315038985024[/C][C]2.31576395035107[/C][/ROW]
[ROW][C]0.98[/C][C]107.344504792668[/C][C]1.78136181143835[/C][/ROW]
[ROW][C]0.99[/C][C]108.108185620625[/C][C]1.05138996442701[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281768&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281768&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
0.0184.11565772126770.982135895999238
0.0284.62246803230560.855864697329752
0.0385.1305203375650.79874933899036
0.0485.5775365943420.779384234314837
0.0585.96403422820930.771970051842276
0.0686.30755831584860.77999744472842
0.0786.62409812662480.807299058283766
0.0886.92422353126090.842728668665485
0.0987.2127906972650.867618834156339
0.187.48962314092530.867229732335522
0.1187.75120971099750.836710357556886
0.1287.99300999177820.780617269996217
0.1388.21151860046760.709551527460271
0.1488.40546344565090.635672644919649
0.1588.57601133408750.56942131639474
0.1688.72624030699440.517452448299521
0.1788.86028084879560.482355727114683
0.1888.98247643783490.463055800925163
0.1989.09677355591060.456482913169214
0.289.20640873473270.458827154258472
0.2189.31385907595240.467260921901895
0.2289.4209713620220.480428679054168
0.2389.52917364228350.497713026968453
0.2489.6396874419010.519928848670528
0.2589.75368544661810.54799165315487
0.2689.87236880452960.582565475048824
0.2789.99696334803370.624032313086017
0.2890.12865136135110.671878233261509
0.2990.26846413260240.724991092507329
0.390.41716185731120.781484408003908
0.3190.57512413929440.838802045027989
0.3290.74226896113630.89421049625643
0.3390.91801222818080.944723277709811
0.3491.10127434857430.987593026640065
0.3591.29053462445841.02059191912429
0.3691.48392833722851.04176422220119
0.3791.67937569057541.05064998238273
0.3891.87472720097621.04708106980717
0.3992.0679078721871.03182894453731
0.492.25704335421231.00684545643694
0.4192.44055523998320.973678917743001
0.4292.61721876244970.934833322541019
0.4392.78618289314960.892271992761965
0.4492.94695861934490.847903311919281
0.4593.09938484596390.803279542691161
0.4693.2435825183380.759924064182913
0.4793.37990649681370.718700443171894
0.4893.50890220335910.680593854372153
0.4993.63127098896120.646434959290926
0.593.74784525181140.616769622429669
0.5193.85957197041260.591932455933795
0.5293.96750161310840.573107601588225
0.5394.07277829705210.560449766827757
0.5494.1766265420710.55449465300199
0.5594.28033004451580.555588486914684
0.5694.38519873712610.56404240658161
0.5794.49252217564920.579530995639394
0.5894.60351004162460.601475315412175
0.5994.71922403250080.628795696900736
0.694.84050902839560.659866838825325
0.6194.96793428259070.692765119719971
0.6295.10175648593440.725524387691072
0.6395.2419151194950.755969535516465
0.6495.38806627903410.782680499555334
0.6595.53965460980720.804417889225041
0.6695.69601535006260.82107782877292
0.6795.85649147017930.8327358940591
0.6896.02054632669440.84089191913378
0.6996.1878515602660.846780026436524
0.796.35833380666780.852324570698548
0.7196.53217179677710.858910867243872
0.7296.70974617960130.867621922646269
0.7396.89155560930040.878597362616525
0.7497.07812148000410.891626831513894
0.7597.2699074538320.905689146737865
0.7697.46727678728470.919629470563035
0.7797.67050030316840.932510623967536
0.7897.87981271952260.943875889510901
0.7998.09549883293820.954174172935987
0.898.31797837785710.964121704265162
0.8198.54785308533040.97482496542142
0.8298.78588378497910.987133888437732
0.8399.03288076578011.00110524428033
0.8499.28951991855071.01584366940395
0.8599.55614653267841.02928935951552
0.8699.83270514753981.03837229282547
0.87100.1190359351641.04020202102911
0.88100.4158760291961.03404877506828
0.89100.726913907731.02522489614661
0.9101.0620075255561.03029303211413
0.91101.4409822055621.08206949117134
0.92101.8961520244881.22583138773107
0.93102.4701611005551.49338126039501
0.94103.2050861196851.86382652767546
0.95104.1210478894762.23857653082861
0.96105.1894360833622.44847002956741
0.97106.3150389850242.31576395035107
0.98107.3445047926681.78136181143835
0.99108.1081856206251.05138996442701


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')