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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, 03 Oct 2013 15:58:29 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/03/t1380830396o1jxqq0dj8dvo0z.htm/, Retrieved Thu, 02 May 2024 01:31:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213017, Retrieved Thu, 02 May 2024 01:31:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact76

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] [] [2013-10-03 19:58:29] [3c7daf9c150a57900c7784703a011e78] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102,78
102,78
102,78
102,78
102,78
102,78
102,78
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
101,67
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
105,79
104,47
104,47
104,47
104,47
104,47
104,47
104,47
104,47
105,5
105,5
105,5
105,5
106,61
106,61
106,61
106,61
106,61
106,61
106,61
106,61
112,06
112,06
112,06
112,06
111,18
111,18
111,18
111,18
111,18
111,18
111,18
111,18
117,21
117,21
117,21
117,21
107,98
107,98
107,98
107,98
107,98

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=213017&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=213017&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213017&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
0.01101.6700008416930
0.02101.6700087872244.7916269127952e-05
0.03101.6700521723540.000263539480203736
0.04101.6702248962890.00105415792081494
0.05101.6707747000650.00330622256982869
0.06101.672245279730.00867007006451487
0.07101.675654924130.0196161581628748
0.08101.682655738240.0392959542926292
0.09101.6955858566570.0707467882711426
0.1101.717328164660.115879952737088
0.11101.7509387253790.174417867277533
0.12101.7990969001330.243323325173228
0.13101.8635206868080.316969410598056
0.14101.9445381605550.388344463109421
0.15102.0409775475810.450833512194446
0.16102.1504378902830.500090937208032
0.17102.2698687140560.535328526126586
0.18102.3962766964020.55944562518499
0.19102.5273357033350.578028160373284
0.2102.661718207190.597433334406023
0.21102.7990703250140.622288837367831
0.22102.9396759123950.653561148777821
0.23103.0839513071760.688535015444802
0.24103.231951223060.721740501285385
0.25103.383042239230.747474148124052
0.26103.5358299470770.760895830678391
0.27103.688338289550.759739655854569
0.28103.8383646757940.744264193189674
0.29103.983892691090.717515311314929
0.3104.1234425538120.684049165500348
0.31104.256271724270.649416755393187
0.32104.3823894362180.618255957825241
0.33104.5024019808520.593705124362449
0.34104.6172457674930.576564862318862
0.35104.7278842850570.56533721684195
0.36104.8350421202030.557063918603587
0.37104.9390291467410.54812440931048
0.38105.0396792227260.535245660208825
0.39105.1363989663520.516262626035651
0.4105.2283002365340.490119138333975
0.41105.3143783940120.457000460113382
0.42105.3936974694620.418109030582447
0.43105.4655506170170.375315263513031
0.44105.5295759266890.330959506787711
0.45105.5858199711780.287540907981922
0.46105.6347514365980.24738465009098
0.47105.6772333016870.212719780625185
0.48105.7144641828560.185440419486808
0.49105.7478986391350.167256586479823
0.5105.7791539828050.159486019796495
0.51105.8099090379950.162560817461668
0.52105.8417994746830.175599156175719
0.53105.8763152601610.196932408056854
0.54105.9147080687660.224260844983264
0.55105.9579191526550.255203806180275
0.56106.0065397926490.287416650538693
0.57106.0608156415820.318811150940222
0.58106.1207021734720.347782032118422
0.59106.1859711056610.373479676447685
0.6106.2563582294280.396086122891514
0.61106.3317337126320.416875142751024
0.62106.412269244730.438199227309981
0.63106.4985746583760.463292840581864
0.64106.5917809237870.495550701645193
0.65106.6935558189580.538031825082596
0.66106.8060503129960.592925815520455
0.67106.9317837129220.661189521449953
0.68107.0734801304580.742614101632692
0.69107.233866140150.836276753616335
0.7107.4154314852630.940309145126699
0.71107.6201469398461.05171945156927
0.72107.849133627311.16633737684406
0.73108.102292579821.27790594914955
0.74108.3779330615291.37845234874607
0.75108.6724758791371.45818774821283
0.76108.9803383262351.50705230602731
0.77109.2941118761821.51613810634944
0.78109.6051079826281.47983815244706
0.79109.9042697999251.3975762351675
0.8110.1833442681171.2748887509946
0.81110.4361117059711.12322080375027
0.82110.6594182220240.958363166424047
0.83110.853784246880.798463486805909
0.84111.0234865342330.661226839105224
0.85111.1762170273650.562002099887591
0.86111.3226527633450.511616588049512
0.87111.4764120510730.515374342417123
0.88111.6547507820310.577095872532514
0.89111.8797890311090.707832884578185
0.9112.1790224621080.925747862105128
0.91112.5827530141221.23962961999694
0.92113.115881529331.62355874293664
0.93113.7836152511111.99767259650299
0.94114.5556202134392.23259894206067
0.95115.3589288176852.19476258766894
0.96116.0910908427771.82781938142206
0.97116.655984013371.22143809761543
0.98117.0067374179370.594196043944318
0.99117.1668727795390.164702818779285

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.670000841693 & 0 \tabularnewline
0.02 & 101.670008787224 & 4.7916269127952e-05 \tabularnewline
0.03 & 101.670052172354 & 0.000263539480203736 \tabularnewline
0.04 & 101.670224896289 & 0.00105415792081494 \tabularnewline
0.05 & 101.670774700065 & 0.00330622256982869 \tabularnewline
0.06 & 101.67224527973 & 0.00867007006451487 \tabularnewline
0.07 & 101.67565492413 & 0.0196161581628748 \tabularnewline
0.08 & 101.68265573824 & 0.0392959542926292 \tabularnewline
0.09 & 101.695585856657 & 0.0707467882711426 \tabularnewline
0.1 & 101.71732816466 & 0.115879952737088 \tabularnewline
0.11 & 101.750938725379 & 0.174417867277533 \tabularnewline
0.12 & 101.799096900133 & 0.243323325173228 \tabularnewline
0.13 & 101.863520686808 & 0.316969410598056 \tabularnewline
0.14 & 101.944538160555 & 0.388344463109421 \tabularnewline
0.15 & 102.040977547581 & 0.450833512194446 \tabularnewline
0.16 & 102.150437890283 & 0.500090937208032 \tabularnewline
0.17 & 102.269868714056 & 0.535328526126586 \tabularnewline
0.18 & 102.396276696402 & 0.55944562518499 \tabularnewline
0.19 & 102.527335703335 & 0.578028160373284 \tabularnewline
0.2 & 102.66171820719 & 0.597433334406023 \tabularnewline
0.21 & 102.799070325014 & 0.622288837367831 \tabularnewline
0.22 & 102.939675912395 & 0.653561148777821 \tabularnewline
0.23 & 103.083951307176 & 0.688535015444802 \tabularnewline
0.24 & 103.23195122306 & 0.721740501285385 \tabularnewline
0.25 & 103.38304223923 & 0.747474148124052 \tabularnewline
0.26 & 103.535829947077 & 0.760895830678391 \tabularnewline
0.27 & 103.68833828955 & 0.759739655854569 \tabularnewline
0.28 & 103.838364675794 & 0.744264193189674 \tabularnewline
0.29 & 103.98389269109 & 0.717515311314929 \tabularnewline
0.3 & 104.123442553812 & 0.684049165500348 \tabularnewline
0.31 & 104.25627172427 & 0.649416755393187 \tabularnewline
0.32 & 104.382389436218 & 0.618255957825241 \tabularnewline
0.33 & 104.502401980852 & 0.593705124362449 \tabularnewline
0.34 & 104.617245767493 & 0.576564862318862 \tabularnewline
0.35 & 104.727884285057 & 0.56533721684195 \tabularnewline
0.36 & 104.835042120203 & 0.557063918603587 \tabularnewline
0.37 & 104.939029146741 & 0.54812440931048 \tabularnewline
0.38 & 105.039679222726 & 0.535245660208825 \tabularnewline
0.39 & 105.136398966352 & 0.516262626035651 \tabularnewline
0.4 & 105.228300236534 & 0.490119138333975 \tabularnewline
0.41 & 105.314378394012 & 0.457000460113382 \tabularnewline
0.42 & 105.393697469462 & 0.418109030582447 \tabularnewline
0.43 & 105.465550617017 & 0.375315263513031 \tabularnewline
0.44 & 105.529575926689 & 0.330959506787711 \tabularnewline
0.45 & 105.585819971178 & 0.287540907981922 \tabularnewline
0.46 & 105.634751436598 & 0.24738465009098 \tabularnewline
0.47 & 105.677233301687 & 0.212719780625185 \tabularnewline
0.48 & 105.714464182856 & 0.185440419486808 \tabularnewline
0.49 & 105.747898639135 & 0.167256586479823 \tabularnewline
0.5 & 105.779153982805 & 0.159486019796495 \tabularnewline
0.51 & 105.809909037995 & 0.162560817461668 \tabularnewline
0.52 & 105.841799474683 & 0.175599156175719 \tabularnewline
0.53 & 105.876315260161 & 0.196932408056854 \tabularnewline
0.54 & 105.914708068766 & 0.224260844983264 \tabularnewline
0.55 & 105.957919152655 & 0.255203806180275 \tabularnewline
0.56 & 106.006539792649 & 0.287416650538693 \tabularnewline
0.57 & 106.060815641582 & 0.318811150940222 \tabularnewline
0.58 & 106.120702173472 & 0.347782032118422 \tabularnewline
0.59 & 106.185971105661 & 0.373479676447685 \tabularnewline
0.6 & 106.256358229428 & 0.396086122891514 \tabularnewline
0.61 & 106.331733712632 & 0.416875142751024 \tabularnewline
0.62 & 106.41226924473 & 0.438199227309981 \tabularnewline
0.63 & 106.498574658376 & 0.463292840581864 \tabularnewline
0.64 & 106.591780923787 & 0.495550701645193 \tabularnewline
0.65 & 106.693555818958 & 0.538031825082596 \tabularnewline
0.66 & 106.806050312996 & 0.592925815520455 \tabularnewline
0.67 & 106.931783712922 & 0.661189521449953 \tabularnewline
0.68 & 107.073480130458 & 0.742614101632692 \tabularnewline
0.69 & 107.23386614015 & 0.836276753616335 \tabularnewline
0.7 & 107.415431485263 & 0.940309145126699 \tabularnewline
0.71 & 107.620146939846 & 1.05171945156927 \tabularnewline
0.72 & 107.84913362731 & 1.16633737684406 \tabularnewline
0.73 & 108.10229257982 & 1.27790594914955 \tabularnewline
0.74 & 108.377933061529 & 1.37845234874607 \tabularnewline
0.75 & 108.672475879137 & 1.45818774821283 \tabularnewline
0.76 & 108.980338326235 & 1.50705230602731 \tabularnewline
0.77 & 109.294111876182 & 1.51613810634944 \tabularnewline
0.78 & 109.605107982628 & 1.47983815244706 \tabularnewline
0.79 & 109.904269799925 & 1.3975762351675 \tabularnewline
0.8 & 110.183344268117 & 1.2748887509946 \tabularnewline
0.81 & 110.436111705971 & 1.12322080375027 \tabularnewline
0.82 & 110.659418222024 & 0.958363166424047 \tabularnewline
0.83 & 110.85378424688 & 0.798463486805909 \tabularnewline
0.84 & 111.023486534233 & 0.661226839105224 \tabularnewline
0.85 & 111.176217027365 & 0.562002099887591 \tabularnewline
0.86 & 111.322652763345 & 0.511616588049512 \tabularnewline
0.87 & 111.476412051073 & 0.515374342417123 \tabularnewline
0.88 & 111.654750782031 & 0.577095872532514 \tabularnewline
0.89 & 111.879789031109 & 0.707832884578185 \tabularnewline
0.9 & 112.179022462108 & 0.925747862105128 \tabularnewline
0.91 & 112.582753014122 & 1.23962961999694 \tabularnewline
0.92 & 113.11588152933 & 1.62355874293664 \tabularnewline
0.93 & 113.783615251111 & 1.99767259650299 \tabularnewline
0.94 & 114.555620213439 & 2.23259894206067 \tabularnewline
0.95 & 115.358928817685 & 2.19476258766894 \tabularnewline
0.96 & 116.091090842777 & 1.82781938142206 \tabularnewline
0.97 & 116.65598401337 & 1.22143809761543 \tabularnewline
0.98 & 117.006737417937 & 0.594196043944318 \tabularnewline
0.99 & 117.166872779539 & 0.164702818779285 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213017&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]101.670000841693[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]101.670008787224[/C][C]4.7916269127952e-05[/C][/ROW]
[ROW][C]0.03[/C][C]101.670052172354[/C][C]0.000263539480203736[/C][/ROW]
[ROW][C]0.04[/C][C]101.670224896289[/C][C]0.00105415792081494[/C][/ROW]
[ROW][C]0.05[/C][C]101.670774700065[/C][C]0.00330622256982869[/C][/ROW]
[ROW][C]0.06[/C][C]101.67224527973[/C][C]0.00867007006451487[/C][/ROW]
[ROW][C]0.07[/C][C]101.67565492413[/C][C]0.0196161581628748[/C][/ROW]
[ROW][C]0.08[/C][C]101.68265573824[/C][C]0.0392959542926292[/C][/ROW]
[ROW][C]0.09[/C][C]101.695585856657[/C][C]0.0707467882711426[/C][/ROW]
[ROW][C]0.1[/C][C]101.71732816466[/C][C]0.115879952737088[/C][/ROW]
[ROW][C]0.11[/C][C]101.750938725379[/C][C]0.174417867277533[/C][/ROW]
[ROW][C]0.12[/C][C]101.799096900133[/C][C]0.243323325173228[/C][/ROW]
[ROW][C]0.13[/C][C]101.863520686808[/C][C]0.316969410598056[/C][/ROW]
[ROW][C]0.14[/C][C]101.944538160555[/C][C]0.388344463109421[/C][/ROW]
[ROW][C]0.15[/C][C]102.040977547581[/C][C]0.450833512194446[/C][/ROW]
[ROW][C]0.16[/C][C]102.150437890283[/C][C]0.500090937208032[/C][/ROW]
[ROW][C]0.17[/C][C]102.269868714056[/C][C]0.535328526126586[/C][/ROW]
[ROW][C]0.18[/C][C]102.396276696402[/C][C]0.55944562518499[/C][/ROW]
[ROW][C]0.19[/C][C]102.527335703335[/C][C]0.578028160373284[/C][/ROW]
[ROW][C]0.2[/C][C]102.66171820719[/C][C]0.597433334406023[/C][/ROW]
[ROW][C]0.21[/C][C]102.799070325014[/C][C]0.622288837367831[/C][/ROW]
[ROW][C]0.22[/C][C]102.939675912395[/C][C]0.653561148777821[/C][/ROW]
[ROW][C]0.23[/C][C]103.083951307176[/C][C]0.688535015444802[/C][/ROW]
[ROW][C]0.24[/C][C]103.23195122306[/C][C]0.721740501285385[/C][/ROW]
[ROW][C]0.25[/C][C]103.38304223923[/C][C]0.747474148124052[/C][/ROW]
[ROW][C]0.26[/C][C]103.535829947077[/C][C]0.760895830678391[/C][/ROW]
[ROW][C]0.27[/C][C]103.68833828955[/C][C]0.759739655854569[/C][/ROW]
[ROW][C]0.28[/C][C]103.838364675794[/C][C]0.744264193189674[/C][/ROW]
[ROW][C]0.29[/C][C]103.98389269109[/C][C]0.717515311314929[/C][/ROW]
[ROW][C]0.3[/C][C]104.123442553812[/C][C]0.684049165500348[/C][/ROW]
[ROW][C]0.31[/C][C]104.25627172427[/C][C]0.649416755393187[/C][/ROW]
[ROW][C]0.32[/C][C]104.382389436218[/C][C]0.618255957825241[/C][/ROW]
[ROW][C]0.33[/C][C]104.502401980852[/C][C]0.593705124362449[/C][/ROW]
[ROW][C]0.34[/C][C]104.617245767493[/C][C]0.576564862318862[/C][/ROW]
[ROW][C]0.35[/C][C]104.727884285057[/C][C]0.56533721684195[/C][/ROW]
[ROW][C]0.36[/C][C]104.835042120203[/C][C]0.557063918603587[/C][/ROW]
[ROW][C]0.37[/C][C]104.939029146741[/C][C]0.54812440931048[/C][/ROW]
[ROW][C]0.38[/C][C]105.039679222726[/C][C]0.535245660208825[/C][/ROW]
[ROW][C]0.39[/C][C]105.136398966352[/C][C]0.516262626035651[/C][/ROW]
[ROW][C]0.4[/C][C]105.228300236534[/C][C]0.490119138333975[/C][/ROW]
[ROW][C]0.41[/C][C]105.314378394012[/C][C]0.457000460113382[/C][/ROW]
[ROW][C]0.42[/C][C]105.393697469462[/C][C]0.418109030582447[/C][/ROW]
[ROW][C]0.43[/C][C]105.465550617017[/C][C]0.375315263513031[/C][/ROW]
[ROW][C]0.44[/C][C]105.529575926689[/C][C]0.330959506787711[/C][/ROW]
[ROW][C]0.45[/C][C]105.585819971178[/C][C]0.287540907981922[/C][/ROW]
[ROW][C]0.46[/C][C]105.634751436598[/C][C]0.24738465009098[/C][/ROW]
[ROW][C]0.47[/C][C]105.677233301687[/C][C]0.212719780625185[/C][/ROW]
[ROW][C]0.48[/C][C]105.714464182856[/C][C]0.185440419486808[/C][/ROW]
[ROW][C]0.49[/C][C]105.747898639135[/C][C]0.167256586479823[/C][/ROW]
[ROW][C]0.5[/C][C]105.779153982805[/C][C]0.159486019796495[/C][/ROW]
[ROW][C]0.51[/C][C]105.809909037995[/C][C]0.162560817461668[/C][/ROW]
[ROW][C]0.52[/C][C]105.841799474683[/C][C]0.175599156175719[/C][/ROW]
[ROW][C]0.53[/C][C]105.876315260161[/C][C]0.196932408056854[/C][/ROW]
[ROW][C]0.54[/C][C]105.914708068766[/C][C]0.224260844983264[/C][/ROW]
[ROW][C]0.55[/C][C]105.957919152655[/C][C]0.255203806180275[/C][/ROW]
[ROW][C]0.56[/C][C]106.006539792649[/C][C]0.287416650538693[/C][/ROW]
[ROW][C]0.57[/C][C]106.060815641582[/C][C]0.318811150940222[/C][/ROW]
[ROW][C]0.58[/C][C]106.120702173472[/C][C]0.347782032118422[/C][/ROW]
[ROW][C]0.59[/C][C]106.185971105661[/C][C]0.373479676447685[/C][/ROW]
[ROW][C]0.6[/C][C]106.256358229428[/C][C]0.396086122891514[/C][/ROW]
[ROW][C]0.61[/C][C]106.331733712632[/C][C]0.416875142751024[/C][/ROW]
[ROW][C]0.62[/C][C]106.41226924473[/C][C]0.438199227309981[/C][/ROW]
[ROW][C]0.63[/C][C]106.498574658376[/C][C]0.463292840581864[/C][/ROW]
[ROW][C]0.64[/C][C]106.591780923787[/C][C]0.495550701645193[/C][/ROW]
[ROW][C]0.65[/C][C]106.693555818958[/C][C]0.538031825082596[/C][/ROW]
[ROW][C]0.66[/C][C]106.806050312996[/C][C]0.592925815520455[/C][/ROW]
[ROW][C]0.67[/C][C]106.931783712922[/C][C]0.661189521449953[/C][/ROW]
[ROW][C]0.68[/C][C]107.073480130458[/C][C]0.742614101632692[/C][/ROW]
[ROW][C]0.69[/C][C]107.23386614015[/C][C]0.836276753616335[/C][/ROW]
[ROW][C]0.7[/C][C]107.415431485263[/C][C]0.940309145126699[/C][/ROW]
[ROW][C]0.71[/C][C]107.620146939846[/C][C]1.05171945156927[/C][/ROW]
[ROW][C]0.72[/C][C]107.84913362731[/C][C]1.16633737684406[/C][/ROW]
[ROW][C]0.73[/C][C]108.10229257982[/C][C]1.27790594914955[/C][/ROW]
[ROW][C]0.74[/C][C]108.377933061529[/C][C]1.37845234874607[/C][/ROW]
[ROW][C]0.75[/C][C]108.672475879137[/C][C]1.45818774821283[/C][/ROW]
[ROW][C]0.76[/C][C]108.980338326235[/C][C]1.50705230602731[/C][/ROW]
[ROW][C]0.77[/C][C]109.294111876182[/C][C]1.51613810634944[/C][/ROW]
[ROW][C]0.78[/C][C]109.605107982628[/C][C]1.47983815244706[/C][/ROW]
[ROW][C]0.79[/C][C]109.904269799925[/C][C]1.3975762351675[/C][/ROW]
[ROW][C]0.8[/C][C]110.183344268117[/C][C]1.2748887509946[/C][/ROW]
[ROW][C]0.81[/C][C]110.436111705971[/C][C]1.12322080375027[/C][/ROW]
[ROW][C]0.82[/C][C]110.659418222024[/C][C]0.958363166424047[/C][/ROW]
[ROW][C]0.83[/C][C]110.85378424688[/C][C]0.798463486805909[/C][/ROW]
[ROW][C]0.84[/C][C]111.023486534233[/C][C]0.661226839105224[/C][/ROW]
[ROW][C]0.85[/C][C]111.176217027365[/C][C]0.562002099887591[/C][/ROW]
[ROW][C]0.86[/C][C]111.322652763345[/C][C]0.511616588049512[/C][/ROW]
[ROW][C]0.87[/C][C]111.476412051073[/C][C]0.515374342417123[/C][/ROW]
[ROW][C]0.88[/C][C]111.654750782031[/C][C]0.577095872532514[/C][/ROW]
[ROW][C]0.89[/C][C]111.879789031109[/C][C]0.707832884578185[/C][/ROW]
[ROW][C]0.9[/C][C]112.179022462108[/C][C]0.925747862105128[/C][/ROW]
[ROW][C]0.91[/C][C]112.582753014122[/C][C]1.23962961999694[/C][/ROW]
[ROW][C]0.92[/C][C]113.11588152933[/C][C]1.62355874293664[/C][/ROW]
[ROW][C]0.93[/C][C]113.783615251111[/C][C]1.99767259650299[/C][/ROW]
[ROW][C]0.94[/C][C]114.555620213439[/C][C]2.23259894206067[/C][/ROW]
[ROW][C]0.95[/C][C]115.358928817685[/C][C]2.19476258766894[/C][/ROW]
[ROW][C]0.96[/C][C]116.091090842777[/C][C]1.82781938142206[/C][/ROW]
[ROW][C]0.97[/C][C]116.65598401337[/C][C]1.22143809761543[/C][/ROW]
[ROW][C]0.98[/C][C]117.006737417937[/C][C]0.594196043944318[/C][/ROW]
[ROW][C]0.99[/C][C]117.166872779539[/C][C]0.164702818779285[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213017&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213017&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
0.01101.6700008416930
0.02101.6700087872244.7916269127952e-05
0.03101.6700521723540.000263539480203736
0.04101.6702248962890.00105415792081494
0.05101.6707747000650.00330622256982869
0.06101.672245279730.00867007006451487
0.07101.675654924130.0196161581628748
0.08101.682655738240.0392959542926292
0.09101.6955858566570.0707467882711426
0.1101.717328164660.115879952737088
0.11101.7509387253790.174417867277533
0.12101.7990969001330.243323325173228
0.13101.8635206868080.316969410598056
0.14101.9445381605550.388344463109421
0.15102.0409775475810.450833512194446
0.16102.1504378902830.500090937208032
0.17102.2698687140560.535328526126586
0.18102.3962766964020.55944562518499
0.19102.5273357033350.578028160373284
0.2102.661718207190.597433334406023
0.21102.7990703250140.622288837367831
0.22102.9396759123950.653561148777821
0.23103.0839513071760.688535015444802
0.24103.231951223060.721740501285385
0.25103.383042239230.747474148124052
0.26103.5358299470770.760895830678391
0.27103.688338289550.759739655854569
0.28103.8383646757940.744264193189674
0.29103.983892691090.717515311314929
0.3104.1234425538120.684049165500348
0.31104.256271724270.649416755393187
0.32104.3823894362180.618255957825241
0.33104.5024019808520.593705124362449
0.34104.6172457674930.576564862318862
0.35104.7278842850570.56533721684195
0.36104.8350421202030.557063918603587
0.37104.9390291467410.54812440931048
0.38105.0396792227260.535245660208825
0.39105.1363989663520.516262626035651
0.4105.2283002365340.490119138333975
0.41105.3143783940120.457000460113382
0.42105.3936974694620.418109030582447
0.43105.4655506170170.375315263513031
0.44105.5295759266890.330959506787711
0.45105.5858199711780.287540907981922
0.46105.6347514365980.24738465009098
0.47105.6772333016870.212719780625185
0.48105.7144641828560.185440419486808
0.49105.7478986391350.167256586479823
0.5105.7791539828050.159486019796495
0.51105.8099090379950.162560817461668
0.52105.8417994746830.175599156175719
0.53105.8763152601610.196932408056854
0.54105.9147080687660.224260844983264
0.55105.9579191526550.255203806180275
0.56106.0065397926490.287416650538693
0.57106.0608156415820.318811150940222
0.58106.1207021734720.347782032118422
0.59106.1859711056610.373479676447685
0.6106.2563582294280.396086122891514
0.61106.3317337126320.416875142751024
0.62106.412269244730.438199227309981
0.63106.4985746583760.463292840581864
0.64106.5917809237870.495550701645193
0.65106.6935558189580.538031825082596
0.66106.8060503129960.592925815520455
0.67106.9317837129220.661189521449953
0.68107.0734801304580.742614101632692
0.69107.233866140150.836276753616335
0.7107.4154314852630.940309145126699
0.71107.6201469398461.05171945156927
0.72107.849133627311.16633737684406
0.73108.102292579821.27790594914955
0.74108.3779330615291.37845234874607
0.75108.6724758791371.45818774821283
0.76108.9803383262351.50705230602731
0.77109.2941118761821.51613810634944
0.78109.6051079826281.47983815244706
0.79109.9042697999251.3975762351675
0.8110.1833442681171.2748887509946
0.81110.4361117059711.12322080375027
0.82110.6594182220240.958363166424047
0.83110.853784246880.798463486805909
0.84111.0234865342330.661226839105224
0.85111.1762170273650.562002099887591
0.86111.3226527633450.511616588049512
0.87111.4764120510730.515374342417123
0.88111.6547507820310.577095872532514
0.89111.8797890311090.707832884578185
0.9112.1790224621080.925747862105128
0.91112.5827530141221.23962961999694
0.92113.115881529331.62355874293664
0.93113.7836152511111.99767259650299
0.94114.5556202134392.23259894206067
0.95115.3589288176852.19476258766894
0.96116.0910908427771.82781938142206
0.97116.655984013371.22143809761543
0.98117.0067374179370.594196043944318
0.99117.1668727795390.164702818779285


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')