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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 computationTue, 09 Aug 2016 13:07:52 +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/2016/Aug/09/t1470744501hscrehv356yaqml.htm/, Retrieved Sat, 18 May 2024 16:21:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296139, Retrieved Sat, 18 May 2024 16:21:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact123

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] [] [2016-08-09 07:18:36] [ba9845715efdcdf5bf90594b26d5ea9c]
-   PD  [Univariate Data Series] [] [2016-08-09 07:23:22] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD      [Harrell-Davis Quantiles] [] [2016-08-09 12:07:52] [eed3b94f44ab74d862a61d666a631b56] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7263.63
7135.88
7008.00
6752.38
9339.00
9211.13
7263.63
5970.38
6098.13
6098.13
6226.00
6495.50
5714.75
4932.75
4292.38
4292.38
6752.38
7008.00
5060.50
2857.38
4022.88
4022.88
4932.75
5457.88
5330.00
4022.88
4677.13
4420.25
6623.38
6098.13
4022.88
2472.75
3895.00
4292.38
4677.13
5188.38
4150.63
3254.75
3639.50
3767.25
7135.88
7135.88
5188.38
4932.75
5714.75
5330.00
6367.75
7661.00
7917.88
6098.13
5585.63
5060.50
8570.88
8827.75
8173.50
8827.75
8698.63
7661.00
8827.75
10121.00
10646.13
9083.38
8045.63
8827.75
12196.25
13234.00
12978.38
13489.50
13361.75
12068.50
14271.63
14796.75
15564.88
13234.00
12324.13
13361.75
15834.38
18037.50
17512.38
17512.38
17769.25
16872.00
19204.25
19204.25
18806.88
16602.50
16999.88
17256.75
18947.38
21150.50
19587.63
20369.75
19715.50
19332.00
22317.25
21663.00
20753.13
19459.88
20753.13
21407.38
22188.13
23225.75
22188.13
22828.50
22047.63
21919.88
25160.63
25430.13
24392.50
22572.88
24123.00
24776.00
25558.00
26723.50
25558.00
26467.88
26070.50
24648.13
27633.25
27633.25

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296139&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296139&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296139&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012752.51760105243401.097358858445
0.023142.14566998312413.832798361563
0.033468.16730196123350.793852651848
0.043700.04984408577263.199467818878
0.053855.88790816768195.13012292718
0.063963.38967453521159.742474112903
0.074046.93976303967157.355538320401
0.084123.94233178883179.045782252038
0.094204.74926811637212.303634978144
0.14293.88182595367247.817471087867
0.114391.76452405187279.374912358438
0.124496.3402744572302.417932011353
0.134604.3213555218314.37714850505
0.144712.23779195778315.801129545486
0.154817.38078369533310.492172531134
0.164918.46589938951304.080596931779
0.175015.78727068855301.81155733794
0.185110.84284964687306.662910834701
0.195205.64806828343318.696574759728
0.25302.03863960708335.751218014941
0.215401.1896479007354.603292652624
0.225503.4426598368372.170142148391
0.235608.41604998147386.327386085813
0.245715.30301410786396.371160133762
0.255823.23189784096403.019874550547
0.265931.5671850305407.95886048763
0.276040.06467355263413.110133537155
0.286148.85476477895419.843130650252
0.296258.29503123077428.486543823493
0.36368.78107791767438.474931889239
0.316480.61263605958448.902451703713
0.326593.97708994497459.203740087393
0.336709.05236245469.747713717856
0.346826.17336039887481.883602810575
0.356945.97626224244497.540890802091
0.367069.44435202443518.555340147592
0.377197.8223715821545.873851296807
0.387332.42507796953579.127085103933
0.397474.41670910238616.795754063422
0.47624.66176682643656.848538052934
0.417783.73369598368697.820536752599
0.427952.11840943773739.768721229861
0.438130.57745166035784.974047482857
0.448320.56275693165837.997456865913
0.458524.52673768357904.655840273573
0.468745.96960007893990.365241011101
0.478989.120746171631097.67108887361
0.489258.2554901671224.69437059502
0.499556.774921881491364.36344711747
0.59886.283940258651505.59676252492
0.5110245.94699424861635.42225636141
0.5210632.35507546751741.93996363341
0.5311040.00309022291817.12429469635
0.5411462.29054800681858.80616943699
0.5511892.78242572981871.29835605416
0.5612326.36668695181863.88949986236
0.5712759.96357167831848.20364904624
0.5813192.58088628941834.37856061689
0.5913624.72459102041827.91638389264
0.614057.38893985261828.16362925146
0.6114490.98603747571829.15929316711
0.6214924.57993170681822.24409945404
0.6315355.66401750411799.59292293799
0.6415780.51317734041756.71902209045
0.6516194.93664696191693.82219817084
0.6616595.13527808111615.21175127939
0.6716978.37237416681527.58691776074
0.6817343.28871310021437.88242532216
0.6917689.86610752981351.62654972349
0.718019.18404276471272.25977977567
0.7118333.15448991261201.7852066181
0.7218634.34889151681141.92784443449
0.7318925.8982581721094.6619979674
0.7419211.33779414771061.76088329689
0.7519494.2547334431043.37996448005
0.7619777.69945807811036.48618571426
0.7720063.48479837521034.65789490651
0.7820351.63671051241029.58533269458
0.7920640.29393926811013.57745575131
0.820926.2601340177982.376194269617
0.8121206.2190147689936.956944206766
0.8221478.3847724647884.648937330623
0.8321744.1240892194838.213047688478
0.8422008.9050523535813.213791788639
0.8522281.8974308926822.165705139851
0.8622573.8163806415866.702352782693
0.8722893.2710944674932.91051713568
0.8823242.8101726078994.487461514854
0.8923616.52931921521022.87560827094
0.924000.8551152203999.342659793369
0.9124378.7712928696923.225641851242
0.9224736.1334365713812.128892718821
0.9325067.986400178695.354764969729
0.9425382.935553399606.026403919998
0.9525703.7354518854570.172807907893
0.9626063.1456526345587.199752735599
0.9726493.2478224846632.52234001785
0.9826989.3694231149646.782197577458
0.9927433.7938695401426.059126396453

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2752.51760105243 & 401.097358858445 \tabularnewline
0.02 & 3142.14566998312 & 413.832798361563 \tabularnewline
0.03 & 3468.16730196123 & 350.793852651848 \tabularnewline
0.04 & 3700.04984408577 & 263.199467818878 \tabularnewline
0.05 & 3855.88790816768 & 195.13012292718 \tabularnewline
0.06 & 3963.38967453521 & 159.742474112903 \tabularnewline
0.07 & 4046.93976303967 & 157.355538320401 \tabularnewline
0.08 & 4123.94233178883 & 179.045782252038 \tabularnewline
0.09 & 4204.74926811637 & 212.303634978144 \tabularnewline
0.1 & 4293.88182595367 & 247.817471087867 \tabularnewline
0.11 & 4391.76452405187 & 279.374912358438 \tabularnewline
0.12 & 4496.3402744572 & 302.417932011353 \tabularnewline
0.13 & 4604.3213555218 & 314.37714850505 \tabularnewline
0.14 & 4712.23779195778 & 315.801129545486 \tabularnewline
0.15 & 4817.38078369533 & 310.492172531134 \tabularnewline
0.16 & 4918.46589938951 & 304.080596931779 \tabularnewline
0.17 & 5015.78727068855 & 301.81155733794 \tabularnewline
0.18 & 5110.84284964687 & 306.662910834701 \tabularnewline
0.19 & 5205.64806828343 & 318.696574759728 \tabularnewline
0.2 & 5302.03863960708 & 335.751218014941 \tabularnewline
0.21 & 5401.1896479007 & 354.603292652624 \tabularnewline
0.22 & 5503.4426598368 & 372.170142148391 \tabularnewline
0.23 & 5608.41604998147 & 386.327386085813 \tabularnewline
0.24 & 5715.30301410786 & 396.371160133762 \tabularnewline
0.25 & 5823.23189784096 & 403.019874550547 \tabularnewline
0.26 & 5931.5671850305 & 407.95886048763 \tabularnewline
0.27 & 6040.06467355263 & 413.110133537155 \tabularnewline
0.28 & 6148.85476477895 & 419.843130650252 \tabularnewline
0.29 & 6258.29503123077 & 428.486543823493 \tabularnewline
0.3 & 6368.78107791767 & 438.474931889239 \tabularnewline
0.31 & 6480.61263605958 & 448.902451703713 \tabularnewline
0.32 & 6593.97708994497 & 459.203740087393 \tabularnewline
0.33 & 6709.05236245 & 469.747713717856 \tabularnewline
0.34 & 6826.17336039887 & 481.883602810575 \tabularnewline
0.35 & 6945.97626224244 & 497.540890802091 \tabularnewline
0.36 & 7069.44435202443 & 518.555340147592 \tabularnewline
0.37 & 7197.8223715821 & 545.873851296807 \tabularnewline
0.38 & 7332.42507796953 & 579.127085103933 \tabularnewline
0.39 & 7474.41670910238 & 616.795754063422 \tabularnewline
0.4 & 7624.66176682643 & 656.848538052934 \tabularnewline
0.41 & 7783.73369598368 & 697.820536752599 \tabularnewline
0.42 & 7952.11840943773 & 739.768721229861 \tabularnewline
0.43 & 8130.57745166035 & 784.974047482857 \tabularnewline
0.44 & 8320.56275693165 & 837.997456865913 \tabularnewline
0.45 & 8524.52673768357 & 904.655840273573 \tabularnewline
0.46 & 8745.96960007893 & 990.365241011101 \tabularnewline
0.47 & 8989.12074617163 & 1097.67108887361 \tabularnewline
0.48 & 9258.255490167 & 1224.69437059502 \tabularnewline
0.49 & 9556.77492188149 & 1364.36344711747 \tabularnewline
0.5 & 9886.28394025865 & 1505.59676252492 \tabularnewline
0.51 & 10245.9469942486 & 1635.42225636141 \tabularnewline
0.52 & 10632.3550754675 & 1741.93996363341 \tabularnewline
0.53 & 11040.0030902229 & 1817.12429469635 \tabularnewline
0.54 & 11462.2905480068 & 1858.80616943699 \tabularnewline
0.55 & 11892.7824257298 & 1871.29835605416 \tabularnewline
0.56 & 12326.3666869518 & 1863.88949986236 \tabularnewline
0.57 & 12759.9635716783 & 1848.20364904624 \tabularnewline
0.58 & 13192.5808862894 & 1834.37856061689 \tabularnewline
0.59 & 13624.7245910204 & 1827.91638389264 \tabularnewline
0.6 & 14057.3889398526 & 1828.16362925146 \tabularnewline
0.61 & 14490.9860374757 & 1829.15929316711 \tabularnewline
0.62 & 14924.5799317068 & 1822.24409945404 \tabularnewline
0.63 & 15355.6640175041 & 1799.59292293799 \tabularnewline
0.64 & 15780.5131773404 & 1756.71902209045 \tabularnewline
0.65 & 16194.9366469619 & 1693.82219817084 \tabularnewline
0.66 & 16595.1352780811 & 1615.21175127939 \tabularnewline
0.67 & 16978.3723741668 & 1527.58691776074 \tabularnewline
0.68 & 17343.2887131002 & 1437.88242532216 \tabularnewline
0.69 & 17689.8661075298 & 1351.62654972349 \tabularnewline
0.7 & 18019.1840427647 & 1272.25977977567 \tabularnewline
0.71 & 18333.1544899126 & 1201.7852066181 \tabularnewline
0.72 & 18634.3488915168 & 1141.92784443449 \tabularnewline
0.73 & 18925.898258172 & 1094.6619979674 \tabularnewline
0.74 & 19211.3377941477 & 1061.76088329689 \tabularnewline
0.75 & 19494.254733443 & 1043.37996448005 \tabularnewline
0.76 & 19777.6994580781 & 1036.48618571426 \tabularnewline
0.77 & 20063.4847983752 & 1034.65789490651 \tabularnewline
0.78 & 20351.6367105124 & 1029.58533269458 \tabularnewline
0.79 & 20640.2939392681 & 1013.57745575131 \tabularnewline
0.8 & 20926.2601340177 & 982.376194269617 \tabularnewline
0.81 & 21206.2190147689 & 936.956944206766 \tabularnewline
0.82 & 21478.3847724647 & 884.648937330623 \tabularnewline
0.83 & 21744.1240892194 & 838.213047688478 \tabularnewline
0.84 & 22008.9050523535 & 813.213791788639 \tabularnewline
0.85 & 22281.8974308926 & 822.165705139851 \tabularnewline
0.86 & 22573.8163806415 & 866.702352782693 \tabularnewline
0.87 & 22893.2710944674 & 932.91051713568 \tabularnewline
0.88 & 23242.8101726078 & 994.487461514854 \tabularnewline
0.89 & 23616.5293192152 & 1022.87560827094 \tabularnewline
0.9 & 24000.8551152203 & 999.342659793369 \tabularnewline
0.91 & 24378.7712928696 & 923.225641851242 \tabularnewline
0.92 & 24736.1334365713 & 812.128892718821 \tabularnewline
0.93 & 25067.986400178 & 695.354764969729 \tabularnewline
0.94 & 25382.935553399 & 606.026403919998 \tabularnewline
0.95 & 25703.7354518854 & 570.172807907893 \tabularnewline
0.96 & 26063.1456526345 & 587.199752735599 \tabularnewline
0.97 & 26493.2478224846 & 632.52234001785 \tabularnewline
0.98 & 26989.3694231149 & 646.782197577458 \tabularnewline
0.99 & 27433.7938695401 & 426.059126396453 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296139&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]2752.51760105243[/C][C]401.097358858445[/C][/ROW]
[ROW][C]0.02[/C][C]3142.14566998312[/C][C]413.832798361563[/C][/ROW]
[ROW][C]0.03[/C][C]3468.16730196123[/C][C]350.793852651848[/C][/ROW]
[ROW][C]0.04[/C][C]3700.04984408577[/C][C]263.199467818878[/C][/ROW]
[ROW][C]0.05[/C][C]3855.88790816768[/C][C]195.13012292718[/C][/ROW]
[ROW][C]0.06[/C][C]3963.38967453521[/C][C]159.742474112903[/C][/ROW]
[ROW][C]0.07[/C][C]4046.93976303967[/C][C]157.355538320401[/C][/ROW]
[ROW][C]0.08[/C][C]4123.94233178883[/C][C]179.045782252038[/C][/ROW]
[ROW][C]0.09[/C][C]4204.74926811637[/C][C]212.303634978144[/C][/ROW]
[ROW][C]0.1[/C][C]4293.88182595367[/C][C]247.817471087867[/C][/ROW]
[ROW][C]0.11[/C][C]4391.76452405187[/C][C]279.374912358438[/C][/ROW]
[ROW][C]0.12[/C][C]4496.3402744572[/C][C]302.417932011353[/C][/ROW]
[ROW][C]0.13[/C][C]4604.3213555218[/C][C]314.37714850505[/C][/ROW]
[ROW][C]0.14[/C][C]4712.23779195778[/C][C]315.801129545486[/C][/ROW]
[ROW][C]0.15[/C][C]4817.38078369533[/C][C]310.492172531134[/C][/ROW]
[ROW][C]0.16[/C][C]4918.46589938951[/C][C]304.080596931779[/C][/ROW]
[ROW][C]0.17[/C][C]5015.78727068855[/C][C]301.81155733794[/C][/ROW]
[ROW][C]0.18[/C][C]5110.84284964687[/C][C]306.662910834701[/C][/ROW]
[ROW][C]0.19[/C][C]5205.64806828343[/C][C]318.696574759728[/C][/ROW]
[ROW][C]0.2[/C][C]5302.03863960708[/C][C]335.751218014941[/C][/ROW]
[ROW][C]0.21[/C][C]5401.1896479007[/C][C]354.603292652624[/C][/ROW]
[ROW][C]0.22[/C][C]5503.4426598368[/C][C]372.170142148391[/C][/ROW]
[ROW][C]0.23[/C][C]5608.41604998147[/C][C]386.327386085813[/C][/ROW]
[ROW][C]0.24[/C][C]5715.30301410786[/C][C]396.371160133762[/C][/ROW]
[ROW][C]0.25[/C][C]5823.23189784096[/C][C]403.019874550547[/C][/ROW]
[ROW][C]0.26[/C][C]5931.5671850305[/C][C]407.95886048763[/C][/ROW]
[ROW][C]0.27[/C][C]6040.06467355263[/C][C]413.110133537155[/C][/ROW]
[ROW][C]0.28[/C][C]6148.85476477895[/C][C]419.843130650252[/C][/ROW]
[ROW][C]0.29[/C][C]6258.29503123077[/C][C]428.486543823493[/C][/ROW]
[ROW][C]0.3[/C][C]6368.78107791767[/C][C]438.474931889239[/C][/ROW]
[ROW][C]0.31[/C][C]6480.61263605958[/C][C]448.902451703713[/C][/ROW]
[ROW][C]0.32[/C][C]6593.97708994497[/C][C]459.203740087393[/C][/ROW]
[ROW][C]0.33[/C][C]6709.05236245[/C][C]469.747713717856[/C][/ROW]
[ROW][C]0.34[/C][C]6826.17336039887[/C][C]481.883602810575[/C][/ROW]
[ROW][C]0.35[/C][C]6945.97626224244[/C][C]497.540890802091[/C][/ROW]
[ROW][C]0.36[/C][C]7069.44435202443[/C][C]518.555340147592[/C][/ROW]
[ROW][C]0.37[/C][C]7197.8223715821[/C][C]545.873851296807[/C][/ROW]
[ROW][C]0.38[/C][C]7332.42507796953[/C][C]579.127085103933[/C][/ROW]
[ROW][C]0.39[/C][C]7474.41670910238[/C][C]616.795754063422[/C][/ROW]
[ROW][C]0.4[/C][C]7624.66176682643[/C][C]656.848538052934[/C][/ROW]
[ROW][C]0.41[/C][C]7783.73369598368[/C][C]697.820536752599[/C][/ROW]
[ROW][C]0.42[/C][C]7952.11840943773[/C][C]739.768721229861[/C][/ROW]
[ROW][C]0.43[/C][C]8130.57745166035[/C][C]784.974047482857[/C][/ROW]
[ROW][C]0.44[/C][C]8320.56275693165[/C][C]837.997456865913[/C][/ROW]
[ROW][C]0.45[/C][C]8524.52673768357[/C][C]904.655840273573[/C][/ROW]
[ROW][C]0.46[/C][C]8745.96960007893[/C][C]990.365241011101[/C][/ROW]
[ROW][C]0.47[/C][C]8989.12074617163[/C][C]1097.67108887361[/C][/ROW]
[ROW][C]0.48[/C][C]9258.255490167[/C][C]1224.69437059502[/C][/ROW]
[ROW][C]0.49[/C][C]9556.77492188149[/C][C]1364.36344711747[/C][/ROW]
[ROW][C]0.5[/C][C]9886.28394025865[/C][C]1505.59676252492[/C][/ROW]
[ROW][C]0.51[/C][C]10245.9469942486[/C][C]1635.42225636141[/C][/ROW]
[ROW][C]0.52[/C][C]10632.3550754675[/C][C]1741.93996363341[/C][/ROW]
[ROW][C]0.53[/C][C]11040.0030902229[/C][C]1817.12429469635[/C][/ROW]
[ROW][C]0.54[/C][C]11462.2905480068[/C][C]1858.80616943699[/C][/ROW]
[ROW][C]0.55[/C][C]11892.7824257298[/C][C]1871.29835605416[/C][/ROW]
[ROW][C]0.56[/C][C]12326.3666869518[/C][C]1863.88949986236[/C][/ROW]
[ROW][C]0.57[/C][C]12759.9635716783[/C][C]1848.20364904624[/C][/ROW]
[ROW][C]0.58[/C][C]13192.5808862894[/C][C]1834.37856061689[/C][/ROW]
[ROW][C]0.59[/C][C]13624.7245910204[/C][C]1827.91638389264[/C][/ROW]
[ROW][C]0.6[/C][C]14057.3889398526[/C][C]1828.16362925146[/C][/ROW]
[ROW][C]0.61[/C][C]14490.9860374757[/C][C]1829.15929316711[/C][/ROW]
[ROW][C]0.62[/C][C]14924.5799317068[/C][C]1822.24409945404[/C][/ROW]
[ROW][C]0.63[/C][C]15355.6640175041[/C][C]1799.59292293799[/C][/ROW]
[ROW][C]0.64[/C][C]15780.5131773404[/C][C]1756.71902209045[/C][/ROW]
[ROW][C]0.65[/C][C]16194.9366469619[/C][C]1693.82219817084[/C][/ROW]
[ROW][C]0.66[/C][C]16595.1352780811[/C][C]1615.21175127939[/C][/ROW]
[ROW][C]0.67[/C][C]16978.3723741668[/C][C]1527.58691776074[/C][/ROW]
[ROW][C]0.68[/C][C]17343.2887131002[/C][C]1437.88242532216[/C][/ROW]
[ROW][C]0.69[/C][C]17689.8661075298[/C][C]1351.62654972349[/C][/ROW]
[ROW][C]0.7[/C][C]18019.1840427647[/C][C]1272.25977977567[/C][/ROW]
[ROW][C]0.71[/C][C]18333.1544899126[/C][C]1201.7852066181[/C][/ROW]
[ROW][C]0.72[/C][C]18634.3488915168[/C][C]1141.92784443449[/C][/ROW]
[ROW][C]0.73[/C][C]18925.898258172[/C][C]1094.6619979674[/C][/ROW]
[ROW][C]0.74[/C][C]19211.3377941477[/C][C]1061.76088329689[/C][/ROW]
[ROW][C]0.75[/C][C]19494.254733443[/C][C]1043.37996448005[/C][/ROW]
[ROW][C]0.76[/C][C]19777.6994580781[/C][C]1036.48618571426[/C][/ROW]
[ROW][C]0.77[/C][C]20063.4847983752[/C][C]1034.65789490651[/C][/ROW]
[ROW][C]0.78[/C][C]20351.6367105124[/C][C]1029.58533269458[/C][/ROW]
[ROW][C]0.79[/C][C]20640.2939392681[/C][C]1013.57745575131[/C][/ROW]
[ROW][C]0.8[/C][C]20926.2601340177[/C][C]982.376194269617[/C][/ROW]
[ROW][C]0.81[/C][C]21206.2190147689[/C][C]936.956944206766[/C][/ROW]
[ROW][C]0.82[/C][C]21478.3847724647[/C][C]884.648937330623[/C][/ROW]
[ROW][C]0.83[/C][C]21744.1240892194[/C][C]838.213047688478[/C][/ROW]
[ROW][C]0.84[/C][C]22008.9050523535[/C][C]813.213791788639[/C][/ROW]
[ROW][C]0.85[/C][C]22281.8974308926[/C][C]822.165705139851[/C][/ROW]
[ROW][C]0.86[/C][C]22573.8163806415[/C][C]866.702352782693[/C][/ROW]
[ROW][C]0.87[/C][C]22893.2710944674[/C][C]932.91051713568[/C][/ROW]
[ROW][C]0.88[/C][C]23242.8101726078[/C][C]994.487461514854[/C][/ROW]
[ROW][C]0.89[/C][C]23616.5293192152[/C][C]1022.87560827094[/C][/ROW]
[ROW][C]0.9[/C][C]24000.8551152203[/C][C]999.342659793369[/C][/ROW]
[ROW][C]0.91[/C][C]24378.7712928696[/C][C]923.225641851242[/C][/ROW]
[ROW][C]0.92[/C][C]24736.1334365713[/C][C]812.128892718821[/C][/ROW]
[ROW][C]0.93[/C][C]25067.986400178[/C][C]695.354764969729[/C][/ROW]
[ROW][C]0.94[/C][C]25382.935553399[/C][C]606.026403919998[/C][/ROW]
[ROW][C]0.95[/C][C]25703.7354518854[/C][C]570.172807907893[/C][/ROW]
[ROW][C]0.96[/C][C]26063.1456526345[/C][C]587.199752735599[/C][/ROW]
[ROW][C]0.97[/C][C]26493.2478224846[/C][C]632.52234001785[/C][/ROW]
[ROW][C]0.98[/C][C]26989.3694231149[/C][C]646.782197577458[/C][/ROW]
[ROW][C]0.99[/C][C]27433.7938695401[/C][C]426.059126396453[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296139&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296139&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
0.012752.51760105243401.097358858445
0.023142.14566998312413.832798361563
0.033468.16730196123350.793852651848
0.043700.04984408577263.199467818878
0.053855.88790816768195.13012292718
0.063963.38967453521159.742474112903
0.074046.93976303967157.355538320401
0.084123.94233178883179.045782252038
0.094204.74926811637212.303634978144
0.14293.88182595367247.817471087867
0.114391.76452405187279.374912358438
0.124496.3402744572302.417932011353
0.134604.3213555218314.37714850505
0.144712.23779195778315.801129545486
0.154817.38078369533310.492172531134
0.164918.46589938951304.080596931779
0.175015.78727068855301.81155733794
0.185110.84284964687306.662910834701
0.195205.64806828343318.696574759728
0.25302.03863960708335.751218014941
0.215401.1896479007354.603292652624
0.225503.4426598368372.170142148391
0.235608.41604998147386.327386085813
0.245715.30301410786396.371160133762
0.255823.23189784096403.019874550547
0.265931.5671850305407.95886048763
0.276040.06467355263413.110133537155
0.286148.85476477895419.843130650252
0.296258.29503123077428.486543823493
0.36368.78107791767438.474931889239
0.316480.61263605958448.902451703713
0.326593.97708994497459.203740087393
0.336709.05236245469.747713717856
0.346826.17336039887481.883602810575
0.356945.97626224244497.540890802091
0.367069.44435202443518.555340147592
0.377197.8223715821545.873851296807
0.387332.42507796953579.127085103933
0.397474.41670910238616.795754063422
0.47624.66176682643656.848538052934
0.417783.73369598368697.820536752599
0.427952.11840943773739.768721229861
0.438130.57745166035784.974047482857
0.448320.56275693165837.997456865913
0.458524.52673768357904.655840273573
0.468745.96960007893990.365241011101
0.478989.120746171631097.67108887361
0.489258.2554901671224.69437059502
0.499556.774921881491364.36344711747
0.59886.283940258651505.59676252492
0.5110245.94699424861635.42225636141
0.5210632.35507546751741.93996363341
0.5311040.00309022291817.12429469635
0.5411462.29054800681858.80616943699
0.5511892.78242572981871.29835605416
0.5612326.36668695181863.88949986236
0.5712759.96357167831848.20364904624
0.5813192.58088628941834.37856061689
0.5913624.72459102041827.91638389264
0.614057.38893985261828.16362925146
0.6114490.98603747571829.15929316711
0.6214924.57993170681822.24409945404
0.6315355.66401750411799.59292293799
0.6415780.51317734041756.71902209045
0.6516194.93664696191693.82219817084
0.6616595.13527808111615.21175127939
0.6716978.37237416681527.58691776074
0.6817343.28871310021437.88242532216
0.6917689.86610752981351.62654972349
0.718019.18404276471272.25977977567
0.7118333.15448991261201.7852066181
0.7218634.34889151681141.92784443449
0.7318925.8982581721094.6619979674
0.7419211.33779414771061.76088329689
0.7519494.2547334431043.37996448005
0.7619777.69945807811036.48618571426
0.7720063.48479837521034.65789490651
0.7820351.63671051241029.58533269458
0.7920640.29393926811013.57745575131
0.820926.2601340177982.376194269617
0.8121206.2190147689936.956944206766
0.8221478.3847724647884.648937330623
0.8321744.1240892194838.213047688478
0.8422008.9050523535813.213791788639
0.8522281.8974308926822.165705139851
0.8622573.8163806415866.702352782693
0.8722893.2710944674932.91051713568
0.8823242.8101726078994.487461514854
0.8923616.52931921521022.87560827094
0.924000.8551152203999.342659793369
0.9124378.7712928696923.225641851242
0.9224736.1334365713812.128892718821
0.9325067.986400178695.354764969729
0.9425382.935553399606.026403919998
0.9525703.7354518854570.172807907893
0.9626063.1456526345587.199752735599
0.9726493.2478224846632.52234001785
0.9826989.3694231149646.782197577458
0.9927433.7938695401426.059126396453


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = no ;
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')