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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, 19 May 2011 08:16:16 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/May/19/t1305792757wthp89euwt19twk.htm/, Retrieved Sat, 11 May 2024 23:13:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=121963, Retrieved Sat, 11 May 2024 23:13:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact130

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] [] [2011-05-19 08:16:16] [a99b800ebea0aa886a82ba0f52cc2ca2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6827
6178
7084
8162
8462
9644
10466
10748
9963
8194
6848
7027
7269
6775
7819
8371
9069
10248
11030
10882
10333
9109
7685
7602
8350
7829
8829
9948
10638
11253
11424
11391
10665
9396
7775
7933
8186
7444
8484
9948
10252
12282
11637
11577
12417
9637
8094
9280
8334
7899
9994
10078
10801
12950
12222
12246
13281
10366
8730
9614
8639
8772
10894
10455
11179
10588
10794
12770
13812
10857
9290
10925
9491
8919
11607
8852
12537
14759
13667
13731
15110
12185
10645
12161
10840
10436
13589
13402
13103
14933
14147
14057
16234
12389
11595
12772

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121963&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121963&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121963&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016399.84351418807404.465252178143
0.026651.20913887856223.318946454444
0.036824.41925832038168.936040062558
0.046947.3422327949197.678995571331
0.057059.8945583963239.971713256079
0.067176.33100765388271.337009504867
0.077295.34345010613285.124305855601
0.087411.30003918683281.627094511277
0.097519.22518170086265.630283273066
0.17616.42251014873244.255486662862
0.117702.63226131049224.422987546173
0.127779.41863379372210.657897470302
0.137849.22727602635204.2033326522
0.147914.50970972509203.555826800099
0.157977.17245209055206.113458516107
0.168038.41241747686209.637087980544
0.178098.84480915195213.05194506915
0.188158.76221360647216.394297641091
0.198218.37804908985220.313503045314
0.28277.96966924482225.571955976789
0.218337.90675147616232.580993306813
0.228398.60032380148241.27578247778
0.238460.4258526843251.16532913655
0.248523.66483612785261.689340689613
0.258588.4861877102272.3590155318
0.268654.96479826171282.921110449431
0.278723.11918873552293.365295699328
0.288792.94643897773303.808951645933
0.298864.43879276557314.311650324258
0.38937.57756149202324.783627965547
0.319012.31055324187334.919530249731
0.329088.52514194505344.288979709338
0.339166.02895876498352.434018379209
0.349244.54546008027358.918797654847
0.359323.72525685112363.429580975048
0.369403.16894635582365.791857875283
0.379482.45485003579366.01908593354
0.389561.1655115707364.150923175254
0.399638.9089327689360.382038275404
0.49715.33296634988354.90678778671
0.419790.13313095028347.907446174327
0.429863.05511334904339.660754352705
0.439933.89358423001330.360191625544
0.4410002.4889798312320.252383644233
0.4510068.7237388501309.503352818757
0.4610132.5191094499298.296259990813
0.4710193.8330270609286.811633109995
0.4810252.6588417053275.229334601413
0.4910309.0241548515263.694641529502
0.510362.9890472302252.438652886572
0.5110414.6436771273241.561915559555
0.5210464.1063906541231.242754601806
0.5310511.5245792447221.585295526797
0.5410557.0808974822212.743212009354
0.5510601.0066348077204.924314208224
0.5610643.6019370377198.494776725848
0.5710685.2596174689193.911263214845
0.5810726.4863396488191.85670026176
0.5910767.9130839764192.9751694624
0.610810.2870407304197.930931846173
0.6110854.4399740624207.062932751467
0.6210901.2334617414220.30814807524
0.6310951.4880415363237.215025081276
0.6411005.909127104256.864767845933
0.6511065.0252015307278.045726965018
0.6611129.1514526187299.601639344719
0.6711198.3845065109320.430399797916
0.6811272.6233670961339.757655315827
0.6911351.6022601537357.081492030452
0.711434.9176405839372.022230164163
0.7111522.0373041435384.236627262301
0.7211612.2935658022393.156746565709
0.7311704.8792169053398.113999983251
0.7411798.8756008735398.413168284224
0.7511893.3385629542393.849495389595
0.7611987.4477574147384.988229726838
0.7712080.693960751373.433894294889
0.7812173.0510726949361.697824001433
0.7912265.0691564611352.618324264242
0.812357.8402146116348.650455557959
0.8112452.8252051188350.962005265427
0.8212551.5737108634359.102164360113
0.8312655.3984102477371.153175854728
0.8412765.0749633253384.238046704933
0.8512880.6289248315395.159021804134
0.8613001.2610446716400.89233288106
0.8713125.4649742287399.138773075118
0.8813251.4032588773388.978516146752
0.8913377.6006481953371.759562396484
0.913503.945881396351.89416573413
0.9113632.825923906337.16719603182
0.9213769.9318638644337.410341561272
0.9313923.9303984456359.985400824674
0.9414104.1648982153401.99371696076
0.9514317.0159542994444.726015382167
0.9614566.2375906977461.10333741608
0.9714867.561914366452.256359926989
0.9815269.6788792948519.860045757001
0.9915796.5265189441798.976280926518

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6399.84351418807 & 404.465252178143 \tabularnewline
0.02 & 6651.20913887856 & 223.318946454444 \tabularnewline
0.03 & 6824.41925832038 & 168.936040062558 \tabularnewline
0.04 & 6947.3422327949 & 197.678995571331 \tabularnewline
0.05 & 7059.8945583963 & 239.971713256079 \tabularnewline
0.06 & 7176.33100765388 & 271.337009504867 \tabularnewline
0.07 & 7295.34345010613 & 285.124305855601 \tabularnewline
0.08 & 7411.30003918683 & 281.627094511277 \tabularnewline
0.09 & 7519.22518170086 & 265.630283273066 \tabularnewline
0.1 & 7616.42251014873 & 244.255486662862 \tabularnewline
0.11 & 7702.63226131049 & 224.422987546173 \tabularnewline
0.12 & 7779.41863379372 & 210.657897470302 \tabularnewline
0.13 & 7849.22727602635 & 204.2033326522 \tabularnewline
0.14 & 7914.50970972509 & 203.555826800099 \tabularnewline
0.15 & 7977.17245209055 & 206.113458516107 \tabularnewline
0.16 & 8038.41241747686 & 209.637087980544 \tabularnewline
0.17 & 8098.84480915195 & 213.05194506915 \tabularnewline
0.18 & 8158.76221360647 & 216.394297641091 \tabularnewline
0.19 & 8218.37804908985 & 220.313503045314 \tabularnewline
0.2 & 8277.96966924482 & 225.571955976789 \tabularnewline
0.21 & 8337.90675147616 & 232.580993306813 \tabularnewline
0.22 & 8398.60032380148 & 241.27578247778 \tabularnewline
0.23 & 8460.4258526843 & 251.16532913655 \tabularnewline
0.24 & 8523.66483612785 & 261.689340689613 \tabularnewline
0.25 & 8588.4861877102 & 272.3590155318 \tabularnewline
0.26 & 8654.96479826171 & 282.921110449431 \tabularnewline
0.27 & 8723.11918873552 & 293.365295699328 \tabularnewline
0.28 & 8792.94643897773 & 303.808951645933 \tabularnewline
0.29 & 8864.43879276557 & 314.311650324258 \tabularnewline
0.3 & 8937.57756149202 & 324.783627965547 \tabularnewline
0.31 & 9012.31055324187 & 334.919530249731 \tabularnewline
0.32 & 9088.52514194505 & 344.288979709338 \tabularnewline
0.33 & 9166.02895876498 & 352.434018379209 \tabularnewline
0.34 & 9244.54546008027 & 358.918797654847 \tabularnewline
0.35 & 9323.72525685112 & 363.429580975048 \tabularnewline
0.36 & 9403.16894635582 & 365.791857875283 \tabularnewline
0.37 & 9482.45485003579 & 366.01908593354 \tabularnewline
0.38 & 9561.1655115707 & 364.150923175254 \tabularnewline
0.39 & 9638.9089327689 & 360.382038275404 \tabularnewline
0.4 & 9715.33296634988 & 354.90678778671 \tabularnewline
0.41 & 9790.13313095028 & 347.907446174327 \tabularnewline
0.42 & 9863.05511334904 & 339.660754352705 \tabularnewline
0.43 & 9933.89358423001 & 330.360191625544 \tabularnewline
0.44 & 10002.4889798312 & 320.252383644233 \tabularnewline
0.45 & 10068.7237388501 & 309.503352818757 \tabularnewline
0.46 & 10132.5191094499 & 298.296259990813 \tabularnewline
0.47 & 10193.8330270609 & 286.811633109995 \tabularnewline
0.48 & 10252.6588417053 & 275.229334601413 \tabularnewline
0.49 & 10309.0241548515 & 263.694641529502 \tabularnewline
0.5 & 10362.9890472302 & 252.438652886572 \tabularnewline
0.51 & 10414.6436771273 & 241.561915559555 \tabularnewline
0.52 & 10464.1063906541 & 231.242754601806 \tabularnewline
0.53 & 10511.5245792447 & 221.585295526797 \tabularnewline
0.54 & 10557.0808974822 & 212.743212009354 \tabularnewline
0.55 & 10601.0066348077 & 204.924314208224 \tabularnewline
0.56 & 10643.6019370377 & 198.494776725848 \tabularnewline
0.57 & 10685.2596174689 & 193.911263214845 \tabularnewline
0.58 & 10726.4863396488 & 191.85670026176 \tabularnewline
0.59 & 10767.9130839764 & 192.9751694624 \tabularnewline
0.6 & 10810.2870407304 & 197.930931846173 \tabularnewline
0.61 & 10854.4399740624 & 207.062932751467 \tabularnewline
0.62 & 10901.2334617414 & 220.30814807524 \tabularnewline
0.63 & 10951.4880415363 & 237.215025081276 \tabularnewline
0.64 & 11005.909127104 & 256.864767845933 \tabularnewline
0.65 & 11065.0252015307 & 278.045726965018 \tabularnewline
0.66 & 11129.1514526187 & 299.601639344719 \tabularnewline
0.67 & 11198.3845065109 & 320.430399797916 \tabularnewline
0.68 & 11272.6233670961 & 339.757655315827 \tabularnewline
0.69 & 11351.6022601537 & 357.081492030452 \tabularnewline
0.7 & 11434.9176405839 & 372.022230164163 \tabularnewline
0.71 & 11522.0373041435 & 384.236627262301 \tabularnewline
0.72 & 11612.2935658022 & 393.156746565709 \tabularnewline
0.73 & 11704.8792169053 & 398.113999983251 \tabularnewline
0.74 & 11798.8756008735 & 398.413168284224 \tabularnewline
0.75 & 11893.3385629542 & 393.849495389595 \tabularnewline
0.76 & 11987.4477574147 & 384.988229726838 \tabularnewline
0.77 & 12080.693960751 & 373.433894294889 \tabularnewline
0.78 & 12173.0510726949 & 361.697824001433 \tabularnewline
0.79 & 12265.0691564611 & 352.618324264242 \tabularnewline
0.8 & 12357.8402146116 & 348.650455557959 \tabularnewline
0.81 & 12452.8252051188 & 350.962005265427 \tabularnewline
0.82 & 12551.5737108634 & 359.102164360113 \tabularnewline
0.83 & 12655.3984102477 & 371.153175854728 \tabularnewline
0.84 & 12765.0749633253 & 384.238046704933 \tabularnewline
0.85 & 12880.6289248315 & 395.159021804134 \tabularnewline
0.86 & 13001.2610446716 & 400.89233288106 \tabularnewline
0.87 & 13125.4649742287 & 399.138773075118 \tabularnewline
0.88 & 13251.4032588773 & 388.978516146752 \tabularnewline
0.89 & 13377.6006481953 & 371.759562396484 \tabularnewline
0.9 & 13503.945881396 & 351.89416573413 \tabularnewline
0.91 & 13632.825923906 & 337.16719603182 \tabularnewline
0.92 & 13769.9318638644 & 337.410341561272 \tabularnewline
0.93 & 13923.9303984456 & 359.985400824674 \tabularnewline
0.94 & 14104.1648982153 & 401.99371696076 \tabularnewline
0.95 & 14317.0159542994 & 444.726015382167 \tabularnewline
0.96 & 14566.2375906977 & 461.10333741608 \tabularnewline
0.97 & 14867.561914366 & 452.256359926989 \tabularnewline
0.98 & 15269.6788792948 & 519.860045757001 \tabularnewline
0.99 & 15796.5265189441 & 798.976280926518 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121963&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]6399.84351418807[/C][C]404.465252178143[/C][/ROW]
[ROW][C]0.02[/C][C]6651.20913887856[/C][C]223.318946454444[/C][/ROW]
[ROW][C]0.03[/C][C]6824.41925832038[/C][C]168.936040062558[/C][/ROW]
[ROW][C]0.04[/C][C]6947.3422327949[/C][C]197.678995571331[/C][/ROW]
[ROW][C]0.05[/C][C]7059.8945583963[/C][C]239.971713256079[/C][/ROW]
[ROW][C]0.06[/C][C]7176.33100765388[/C][C]271.337009504867[/C][/ROW]
[ROW][C]0.07[/C][C]7295.34345010613[/C][C]285.124305855601[/C][/ROW]
[ROW][C]0.08[/C][C]7411.30003918683[/C][C]281.627094511277[/C][/ROW]
[ROW][C]0.09[/C][C]7519.22518170086[/C][C]265.630283273066[/C][/ROW]
[ROW][C]0.1[/C][C]7616.42251014873[/C][C]244.255486662862[/C][/ROW]
[ROW][C]0.11[/C][C]7702.63226131049[/C][C]224.422987546173[/C][/ROW]
[ROW][C]0.12[/C][C]7779.41863379372[/C][C]210.657897470302[/C][/ROW]
[ROW][C]0.13[/C][C]7849.22727602635[/C][C]204.2033326522[/C][/ROW]
[ROW][C]0.14[/C][C]7914.50970972509[/C][C]203.555826800099[/C][/ROW]
[ROW][C]0.15[/C][C]7977.17245209055[/C][C]206.113458516107[/C][/ROW]
[ROW][C]0.16[/C][C]8038.41241747686[/C][C]209.637087980544[/C][/ROW]
[ROW][C]0.17[/C][C]8098.84480915195[/C][C]213.05194506915[/C][/ROW]
[ROW][C]0.18[/C][C]8158.76221360647[/C][C]216.394297641091[/C][/ROW]
[ROW][C]0.19[/C][C]8218.37804908985[/C][C]220.313503045314[/C][/ROW]
[ROW][C]0.2[/C][C]8277.96966924482[/C][C]225.571955976789[/C][/ROW]
[ROW][C]0.21[/C][C]8337.90675147616[/C][C]232.580993306813[/C][/ROW]
[ROW][C]0.22[/C][C]8398.60032380148[/C][C]241.27578247778[/C][/ROW]
[ROW][C]0.23[/C][C]8460.4258526843[/C][C]251.16532913655[/C][/ROW]
[ROW][C]0.24[/C][C]8523.66483612785[/C][C]261.689340689613[/C][/ROW]
[ROW][C]0.25[/C][C]8588.4861877102[/C][C]272.3590155318[/C][/ROW]
[ROW][C]0.26[/C][C]8654.96479826171[/C][C]282.921110449431[/C][/ROW]
[ROW][C]0.27[/C][C]8723.11918873552[/C][C]293.365295699328[/C][/ROW]
[ROW][C]0.28[/C][C]8792.94643897773[/C][C]303.808951645933[/C][/ROW]
[ROW][C]0.29[/C][C]8864.43879276557[/C][C]314.311650324258[/C][/ROW]
[ROW][C]0.3[/C][C]8937.57756149202[/C][C]324.783627965547[/C][/ROW]
[ROW][C]0.31[/C][C]9012.31055324187[/C][C]334.919530249731[/C][/ROW]
[ROW][C]0.32[/C][C]9088.52514194505[/C][C]344.288979709338[/C][/ROW]
[ROW][C]0.33[/C][C]9166.02895876498[/C][C]352.434018379209[/C][/ROW]
[ROW][C]0.34[/C][C]9244.54546008027[/C][C]358.918797654847[/C][/ROW]
[ROW][C]0.35[/C][C]9323.72525685112[/C][C]363.429580975048[/C][/ROW]
[ROW][C]0.36[/C][C]9403.16894635582[/C][C]365.791857875283[/C][/ROW]
[ROW][C]0.37[/C][C]9482.45485003579[/C][C]366.01908593354[/C][/ROW]
[ROW][C]0.38[/C][C]9561.1655115707[/C][C]364.150923175254[/C][/ROW]
[ROW][C]0.39[/C][C]9638.9089327689[/C][C]360.382038275404[/C][/ROW]
[ROW][C]0.4[/C][C]9715.33296634988[/C][C]354.90678778671[/C][/ROW]
[ROW][C]0.41[/C][C]9790.13313095028[/C][C]347.907446174327[/C][/ROW]
[ROW][C]0.42[/C][C]9863.05511334904[/C][C]339.660754352705[/C][/ROW]
[ROW][C]0.43[/C][C]9933.89358423001[/C][C]330.360191625544[/C][/ROW]
[ROW][C]0.44[/C][C]10002.4889798312[/C][C]320.252383644233[/C][/ROW]
[ROW][C]0.45[/C][C]10068.7237388501[/C][C]309.503352818757[/C][/ROW]
[ROW][C]0.46[/C][C]10132.5191094499[/C][C]298.296259990813[/C][/ROW]
[ROW][C]0.47[/C][C]10193.8330270609[/C][C]286.811633109995[/C][/ROW]
[ROW][C]0.48[/C][C]10252.6588417053[/C][C]275.229334601413[/C][/ROW]
[ROW][C]0.49[/C][C]10309.0241548515[/C][C]263.694641529502[/C][/ROW]
[ROW][C]0.5[/C][C]10362.9890472302[/C][C]252.438652886572[/C][/ROW]
[ROW][C]0.51[/C][C]10414.6436771273[/C][C]241.561915559555[/C][/ROW]
[ROW][C]0.52[/C][C]10464.1063906541[/C][C]231.242754601806[/C][/ROW]
[ROW][C]0.53[/C][C]10511.5245792447[/C][C]221.585295526797[/C][/ROW]
[ROW][C]0.54[/C][C]10557.0808974822[/C][C]212.743212009354[/C][/ROW]
[ROW][C]0.55[/C][C]10601.0066348077[/C][C]204.924314208224[/C][/ROW]
[ROW][C]0.56[/C][C]10643.6019370377[/C][C]198.494776725848[/C][/ROW]
[ROW][C]0.57[/C][C]10685.2596174689[/C][C]193.911263214845[/C][/ROW]
[ROW][C]0.58[/C][C]10726.4863396488[/C][C]191.85670026176[/C][/ROW]
[ROW][C]0.59[/C][C]10767.9130839764[/C][C]192.9751694624[/C][/ROW]
[ROW][C]0.6[/C][C]10810.2870407304[/C][C]197.930931846173[/C][/ROW]
[ROW][C]0.61[/C][C]10854.4399740624[/C][C]207.062932751467[/C][/ROW]
[ROW][C]0.62[/C][C]10901.2334617414[/C][C]220.30814807524[/C][/ROW]
[ROW][C]0.63[/C][C]10951.4880415363[/C][C]237.215025081276[/C][/ROW]
[ROW][C]0.64[/C][C]11005.909127104[/C][C]256.864767845933[/C][/ROW]
[ROW][C]0.65[/C][C]11065.0252015307[/C][C]278.045726965018[/C][/ROW]
[ROW][C]0.66[/C][C]11129.1514526187[/C][C]299.601639344719[/C][/ROW]
[ROW][C]0.67[/C][C]11198.3845065109[/C][C]320.430399797916[/C][/ROW]
[ROW][C]0.68[/C][C]11272.6233670961[/C][C]339.757655315827[/C][/ROW]
[ROW][C]0.69[/C][C]11351.6022601537[/C][C]357.081492030452[/C][/ROW]
[ROW][C]0.7[/C][C]11434.9176405839[/C][C]372.022230164163[/C][/ROW]
[ROW][C]0.71[/C][C]11522.0373041435[/C][C]384.236627262301[/C][/ROW]
[ROW][C]0.72[/C][C]11612.2935658022[/C][C]393.156746565709[/C][/ROW]
[ROW][C]0.73[/C][C]11704.8792169053[/C][C]398.113999983251[/C][/ROW]
[ROW][C]0.74[/C][C]11798.8756008735[/C][C]398.413168284224[/C][/ROW]
[ROW][C]0.75[/C][C]11893.3385629542[/C][C]393.849495389595[/C][/ROW]
[ROW][C]0.76[/C][C]11987.4477574147[/C][C]384.988229726838[/C][/ROW]
[ROW][C]0.77[/C][C]12080.693960751[/C][C]373.433894294889[/C][/ROW]
[ROW][C]0.78[/C][C]12173.0510726949[/C][C]361.697824001433[/C][/ROW]
[ROW][C]0.79[/C][C]12265.0691564611[/C][C]352.618324264242[/C][/ROW]
[ROW][C]0.8[/C][C]12357.8402146116[/C][C]348.650455557959[/C][/ROW]
[ROW][C]0.81[/C][C]12452.8252051188[/C][C]350.962005265427[/C][/ROW]
[ROW][C]0.82[/C][C]12551.5737108634[/C][C]359.102164360113[/C][/ROW]
[ROW][C]0.83[/C][C]12655.3984102477[/C][C]371.153175854728[/C][/ROW]
[ROW][C]0.84[/C][C]12765.0749633253[/C][C]384.238046704933[/C][/ROW]
[ROW][C]0.85[/C][C]12880.6289248315[/C][C]395.159021804134[/C][/ROW]
[ROW][C]0.86[/C][C]13001.2610446716[/C][C]400.89233288106[/C][/ROW]
[ROW][C]0.87[/C][C]13125.4649742287[/C][C]399.138773075118[/C][/ROW]
[ROW][C]0.88[/C][C]13251.4032588773[/C][C]388.978516146752[/C][/ROW]
[ROW][C]0.89[/C][C]13377.6006481953[/C][C]371.759562396484[/C][/ROW]
[ROW][C]0.9[/C][C]13503.945881396[/C][C]351.89416573413[/C][/ROW]
[ROW][C]0.91[/C][C]13632.825923906[/C][C]337.16719603182[/C][/ROW]
[ROW][C]0.92[/C][C]13769.9318638644[/C][C]337.410341561272[/C][/ROW]
[ROW][C]0.93[/C][C]13923.9303984456[/C][C]359.985400824674[/C][/ROW]
[ROW][C]0.94[/C][C]14104.1648982153[/C][C]401.99371696076[/C][/ROW]
[ROW][C]0.95[/C][C]14317.0159542994[/C][C]444.726015382167[/C][/ROW]
[ROW][C]0.96[/C][C]14566.2375906977[/C][C]461.10333741608[/C][/ROW]
[ROW][C]0.97[/C][C]14867.561914366[/C][C]452.256359926989[/C][/ROW]
[ROW][C]0.98[/C][C]15269.6788792948[/C][C]519.860045757001[/C][/ROW]
[ROW][C]0.99[/C][C]15796.5265189441[/C][C]798.976280926518[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121963&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121963&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
0.016399.84351418807404.465252178143
0.026651.20913887856223.318946454444
0.036824.41925832038168.936040062558
0.046947.3422327949197.678995571331
0.057059.8945583963239.971713256079
0.067176.33100765388271.337009504867
0.077295.34345010613285.124305855601
0.087411.30003918683281.627094511277
0.097519.22518170086265.630283273066
0.17616.42251014873244.255486662862
0.117702.63226131049224.422987546173
0.127779.41863379372210.657897470302
0.137849.22727602635204.2033326522
0.147914.50970972509203.555826800099
0.157977.17245209055206.113458516107
0.168038.41241747686209.637087980544
0.178098.84480915195213.05194506915
0.188158.76221360647216.394297641091
0.198218.37804908985220.313503045314
0.28277.96966924482225.571955976789
0.218337.90675147616232.580993306813
0.228398.60032380148241.27578247778
0.238460.4258526843251.16532913655
0.248523.66483612785261.689340689613
0.258588.4861877102272.3590155318
0.268654.96479826171282.921110449431
0.278723.11918873552293.365295699328
0.288792.94643897773303.808951645933
0.298864.43879276557314.311650324258
0.38937.57756149202324.783627965547
0.319012.31055324187334.919530249731
0.329088.52514194505344.288979709338
0.339166.02895876498352.434018379209
0.349244.54546008027358.918797654847
0.359323.72525685112363.429580975048
0.369403.16894635582365.791857875283
0.379482.45485003579366.01908593354
0.389561.1655115707364.150923175254
0.399638.9089327689360.382038275404
0.49715.33296634988354.90678778671
0.419790.13313095028347.907446174327
0.429863.05511334904339.660754352705
0.439933.89358423001330.360191625544
0.4410002.4889798312320.252383644233
0.4510068.7237388501309.503352818757
0.4610132.5191094499298.296259990813
0.4710193.8330270609286.811633109995
0.4810252.6588417053275.229334601413
0.4910309.0241548515263.694641529502
0.510362.9890472302252.438652886572
0.5110414.6436771273241.561915559555
0.5210464.1063906541231.242754601806
0.5310511.5245792447221.585295526797
0.5410557.0808974822212.743212009354
0.5510601.0066348077204.924314208224
0.5610643.6019370377198.494776725848
0.5710685.2596174689193.911263214845
0.5810726.4863396488191.85670026176
0.5910767.9130839764192.9751694624
0.610810.2870407304197.930931846173
0.6110854.4399740624207.062932751467
0.6210901.2334617414220.30814807524
0.6310951.4880415363237.215025081276
0.6411005.909127104256.864767845933
0.6511065.0252015307278.045726965018
0.6611129.1514526187299.601639344719
0.6711198.3845065109320.430399797916
0.6811272.6233670961339.757655315827
0.6911351.6022601537357.081492030452
0.711434.9176405839372.022230164163
0.7111522.0373041435384.236627262301
0.7211612.2935658022393.156746565709
0.7311704.8792169053398.113999983251
0.7411798.8756008735398.413168284224
0.7511893.3385629542393.849495389595
0.7611987.4477574147384.988229726838
0.7712080.693960751373.433894294889
0.7812173.0510726949361.697824001433
0.7912265.0691564611352.618324264242
0.812357.8402146116348.650455557959
0.8112452.8252051188350.962005265427
0.8212551.5737108634359.102164360113
0.8312655.3984102477371.153175854728
0.8412765.0749633253384.238046704933
0.8512880.6289248315395.159021804134
0.8613001.2610446716400.89233288106
0.8713125.4649742287399.138773075118
0.8813251.4032588773388.978516146752
0.8913377.6006481953371.759562396484
0.913503.945881396351.89416573413
0.9113632.825923906337.16719603182
0.9213769.9318638644337.410341561272
0.9313923.9303984456359.985400824674
0.9414104.1648982153401.99371696076
0.9514317.0159542994444.726015382167
0.9614566.2375906977461.10333741608
0.9714867.561914366452.256359926989
0.9815269.6788792948519.860045757001
0.9915796.5265189441798.976280926518


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')