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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 computationWed, 05 Oct 2016 10:50:50 +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/Oct/05/t1475661142hnwrnghfv0k5u4m.htm/, Retrieved Sun, 05 May 2024 18:36:46 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 18:36:46 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12347
12624
11918
10028
10228
11026
13878
22165
23533
13445
12164
9606
12177
13142
11210
9485
10082
10680
13579
21709
22205
14687
11222
8196
12794
12627
11080
10425
10865
10771
14771
20993
23882
14825
11648
10091
14976
14472
12254
12257
10767
12275
14845
21939
26740
16974
12956
12494
16024
15306
13989
12792
10697
14257
17251
25795
29016
18968
16009
14511

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=&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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.018467.013788574331054.71763103227
0.028840.54010534686780.660458038535
0.039195.5506855683552.624302206467
0.049476.95507909025410.287445332223
0.059684.04864608559334.875155555016
0.069836.89507404514293.587429048487
0.079955.5381734468269.320337712216
0.0810053.9504912607258.058416293543
0.0910140.7262144795257.877708947171
0.110220.9454438088264.449673709789
0.1110297.4453639176272.439159966785
0.1210371.5466725326277.784524407716
0.1310443.5845994922278.686251798279
0.1410513.3985587055275.550430689484
0.1510580.7611237957270.320074553831
0.1610645.6812004991265.738461111437
0.1710708.5478424666264.492858422542
0.1810770.1283431477268.629527330321
0.1910831.4647843015279.160234131014
0.210893.720853672296.029735635972
0.2110958.0221280434318.348889328777
0.2211025.3177762376344.635365555729
0.2311096.2772252318373.108126766859
0.2411171.2254761741401.778972645171
0.2511250.1158872181428.616851692604
0.2611332.5377873793451.677523972526
0.2711417.7560796289469.264813688434
0.2811504.7793261471480.096355926164
0.2911592.4509775403483.467412982899
0.311679.5557156577479.287793622339
0.3111764.9302811186468.141480441461
0.3211847.5667396086451.23619947384
0.3311926.6966624676430.250016508066
0.3412001.8473137602407.117574023792
0.3512072.8651778779383.940313302022
0.3612139.9071121418362.621096339537
0.3712203.4039992457344.813119389455
0.3812264.0050860057331.758718274953
0.3912322.5126804039324.172313916157
0.412379.8164558151322.305893205308
0.4112436.8346243798326.03223714394
0.4212494.4663265039334.931489072671
0.4312553.5564826683348.472509913335
0.4412614.8717355814366.103593590744
0.4512679.0844349115387.191618180652
0.4612746.7610672447411.144508338916
0.4712818.3520227151437.255178089438
0.4812894.1808201945464.774093436132
0.4912974.4324775175492.804070491155
0.513059.1422004789520.415365312638
0.5113148.1866494127546.552759819332
0.5213241.280543554570.210959441885
0.5313337.9812577674590.415150091583
0.5413437.7034640141606.306338418142
0.5513539.744962716617.242765542135
0.5613643.3238460865622.810310468139
0.5713747.6262061918622.940436442984
0.5813851.8628394859617.867983870069
0.5913955.3328196484608.230723387014
0.614057.491365157595.013247461223
0.6114158.0190535671579.616773121042
0.6214256.8890982008563.838174156929
0.6314354.429138232549.866772046281
0.6414451.373905253540.187238714335
0.6514548.9053606408537.59930695414
0.6614648.6775522132544.991465268474
0.6714752.8244803198565.16704737254
0.6814863.9504263381600.538283296996
0.6914985.1029503752652.970972664864
0.715119.7283961528723.713841906575
0.7115271.6075840893813.47610040026
0.7215444.7651878633922.43785317741
0.7315643.34070239541050.20753715679
0.7415871.4037630571195.61943879256
0.7516132.69494312061356.32278417853
0.7616430.27882178471528.26071515068
0.7716766.11237530731705.20030141123
0.7817140.55967664971878.42075873676
0.7917551.92053304732036.85571981832
0.817996.07790235052167.7813960602
0.8118466.39381469212258.29639967987
0.8218953.98113417222297.31923815461
0.8319448.4367844452277.97098252236
0.8419939.03811807322199.69797963608
0.8520416.28939657742069.8081119467
0.8620873.58695792591903.66010658843
0.8721308.68677199351723.50768701451
0.8821724.64121144041555.71411905264
0.8922129.93918319791426.42212554259
0.922537.72583021771355.3542687619
0.9122964.17404589811349.28400341366
0.9223426.33138591241399.13766295485
0.9323940.09540969961482.64437222516
0.9424519.26134749521569.99096782376
0.9525176.16812326511632.56653750524
0.9625921.83265540751660.75300328296
0.9726757.67286662611690.0837880526
0.9827646.97707363221800.18120686137
0.9928469.61484302122021.70078500654

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8467.01378857433 & 1054.71763103227 \tabularnewline
0.02 & 8840.54010534686 & 780.660458038535 \tabularnewline
0.03 & 9195.5506855683 & 552.624302206467 \tabularnewline
0.04 & 9476.95507909025 & 410.287445332223 \tabularnewline
0.05 & 9684.04864608559 & 334.875155555016 \tabularnewline
0.06 & 9836.89507404514 & 293.587429048487 \tabularnewline
0.07 & 9955.5381734468 & 269.320337712216 \tabularnewline
0.08 & 10053.9504912607 & 258.058416293543 \tabularnewline
0.09 & 10140.7262144795 & 257.877708947171 \tabularnewline
0.1 & 10220.9454438088 & 264.449673709789 \tabularnewline
0.11 & 10297.4453639176 & 272.439159966785 \tabularnewline
0.12 & 10371.5466725326 & 277.784524407716 \tabularnewline
0.13 & 10443.5845994922 & 278.686251798279 \tabularnewline
0.14 & 10513.3985587055 & 275.550430689484 \tabularnewline
0.15 & 10580.7611237957 & 270.320074553831 \tabularnewline
0.16 & 10645.6812004991 & 265.738461111437 \tabularnewline
0.17 & 10708.5478424666 & 264.492858422542 \tabularnewline
0.18 & 10770.1283431477 & 268.629527330321 \tabularnewline
0.19 & 10831.4647843015 & 279.160234131014 \tabularnewline
0.2 & 10893.720853672 & 296.029735635972 \tabularnewline
0.21 & 10958.0221280434 & 318.348889328777 \tabularnewline
0.22 & 11025.3177762376 & 344.635365555729 \tabularnewline
0.23 & 11096.2772252318 & 373.108126766859 \tabularnewline
0.24 & 11171.2254761741 & 401.778972645171 \tabularnewline
0.25 & 11250.1158872181 & 428.616851692604 \tabularnewline
0.26 & 11332.5377873793 & 451.677523972526 \tabularnewline
0.27 & 11417.7560796289 & 469.264813688434 \tabularnewline
0.28 & 11504.7793261471 & 480.096355926164 \tabularnewline
0.29 & 11592.4509775403 & 483.467412982899 \tabularnewline
0.3 & 11679.5557156577 & 479.287793622339 \tabularnewline
0.31 & 11764.9302811186 & 468.141480441461 \tabularnewline
0.32 & 11847.5667396086 & 451.23619947384 \tabularnewline
0.33 & 11926.6966624676 & 430.250016508066 \tabularnewline
0.34 & 12001.8473137602 & 407.117574023792 \tabularnewline
0.35 & 12072.8651778779 & 383.940313302022 \tabularnewline
0.36 & 12139.9071121418 & 362.621096339537 \tabularnewline
0.37 & 12203.4039992457 & 344.813119389455 \tabularnewline
0.38 & 12264.0050860057 & 331.758718274953 \tabularnewline
0.39 & 12322.5126804039 & 324.172313916157 \tabularnewline
0.4 & 12379.8164558151 & 322.305893205308 \tabularnewline
0.41 & 12436.8346243798 & 326.03223714394 \tabularnewline
0.42 & 12494.4663265039 & 334.931489072671 \tabularnewline
0.43 & 12553.5564826683 & 348.472509913335 \tabularnewline
0.44 & 12614.8717355814 & 366.103593590744 \tabularnewline
0.45 & 12679.0844349115 & 387.191618180652 \tabularnewline
0.46 & 12746.7610672447 & 411.144508338916 \tabularnewline
0.47 & 12818.3520227151 & 437.255178089438 \tabularnewline
0.48 & 12894.1808201945 & 464.774093436132 \tabularnewline
0.49 & 12974.4324775175 & 492.804070491155 \tabularnewline
0.5 & 13059.1422004789 & 520.415365312638 \tabularnewline
0.51 & 13148.1866494127 & 546.552759819332 \tabularnewline
0.52 & 13241.280543554 & 570.210959441885 \tabularnewline
0.53 & 13337.9812577674 & 590.415150091583 \tabularnewline
0.54 & 13437.7034640141 & 606.306338418142 \tabularnewline
0.55 & 13539.744962716 & 617.242765542135 \tabularnewline
0.56 & 13643.3238460865 & 622.810310468139 \tabularnewline
0.57 & 13747.6262061918 & 622.940436442984 \tabularnewline
0.58 & 13851.8628394859 & 617.867983870069 \tabularnewline
0.59 & 13955.3328196484 & 608.230723387014 \tabularnewline
0.6 & 14057.491365157 & 595.013247461223 \tabularnewline
0.61 & 14158.0190535671 & 579.616773121042 \tabularnewline
0.62 & 14256.8890982008 & 563.838174156929 \tabularnewline
0.63 & 14354.429138232 & 549.866772046281 \tabularnewline
0.64 & 14451.373905253 & 540.187238714335 \tabularnewline
0.65 & 14548.9053606408 & 537.59930695414 \tabularnewline
0.66 & 14648.6775522132 & 544.991465268474 \tabularnewline
0.67 & 14752.8244803198 & 565.16704737254 \tabularnewline
0.68 & 14863.9504263381 & 600.538283296996 \tabularnewline
0.69 & 14985.1029503752 & 652.970972664864 \tabularnewline
0.7 & 15119.7283961528 & 723.713841906575 \tabularnewline
0.71 & 15271.6075840893 & 813.47610040026 \tabularnewline
0.72 & 15444.7651878633 & 922.43785317741 \tabularnewline
0.73 & 15643.3407023954 & 1050.20753715679 \tabularnewline
0.74 & 15871.403763057 & 1195.61943879256 \tabularnewline
0.75 & 16132.6949431206 & 1356.32278417853 \tabularnewline
0.76 & 16430.2788217847 & 1528.26071515068 \tabularnewline
0.77 & 16766.1123753073 & 1705.20030141123 \tabularnewline
0.78 & 17140.5596766497 & 1878.42075873676 \tabularnewline
0.79 & 17551.9205330473 & 2036.85571981832 \tabularnewline
0.8 & 17996.0779023505 & 2167.7813960602 \tabularnewline
0.81 & 18466.3938146921 & 2258.29639967987 \tabularnewline
0.82 & 18953.9811341722 & 2297.31923815461 \tabularnewline
0.83 & 19448.436784445 & 2277.97098252236 \tabularnewline
0.84 & 19939.0381180732 & 2199.69797963608 \tabularnewline
0.85 & 20416.2893965774 & 2069.8081119467 \tabularnewline
0.86 & 20873.5869579259 & 1903.66010658843 \tabularnewline
0.87 & 21308.6867719935 & 1723.50768701451 \tabularnewline
0.88 & 21724.6412114404 & 1555.71411905264 \tabularnewline
0.89 & 22129.9391831979 & 1426.42212554259 \tabularnewline
0.9 & 22537.7258302177 & 1355.3542687619 \tabularnewline
0.91 & 22964.1740458981 & 1349.28400341366 \tabularnewline
0.92 & 23426.3313859124 & 1399.13766295485 \tabularnewline
0.93 & 23940.0954096996 & 1482.64437222516 \tabularnewline
0.94 & 24519.2613474952 & 1569.99096782376 \tabularnewline
0.95 & 25176.1681232651 & 1632.56653750524 \tabularnewline
0.96 & 25921.8326554075 & 1660.75300328296 \tabularnewline
0.97 & 26757.6728666261 & 1690.0837880526 \tabularnewline
0.98 & 27646.9770736322 & 1800.18120686137 \tabularnewline
0.99 & 28469.6148430212 & 2021.70078500654 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]8467.01378857433[/C][C]1054.71763103227[/C][/ROW]
[ROW][C]0.02[/C][C]8840.54010534686[/C][C]780.660458038535[/C][/ROW]
[ROW][C]0.03[/C][C]9195.5506855683[/C][C]552.624302206467[/C][/ROW]
[ROW][C]0.04[/C][C]9476.95507909025[/C][C]410.287445332223[/C][/ROW]
[ROW][C]0.05[/C][C]9684.04864608559[/C][C]334.875155555016[/C][/ROW]
[ROW][C]0.06[/C][C]9836.89507404514[/C][C]293.587429048487[/C][/ROW]
[ROW][C]0.07[/C][C]9955.5381734468[/C][C]269.320337712216[/C][/ROW]
[ROW][C]0.08[/C][C]10053.9504912607[/C][C]258.058416293543[/C][/ROW]
[ROW][C]0.09[/C][C]10140.7262144795[/C][C]257.877708947171[/C][/ROW]
[ROW][C]0.1[/C][C]10220.9454438088[/C][C]264.449673709789[/C][/ROW]
[ROW][C]0.11[/C][C]10297.4453639176[/C][C]272.439159966785[/C][/ROW]
[ROW][C]0.12[/C][C]10371.5466725326[/C][C]277.784524407716[/C][/ROW]
[ROW][C]0.13[/C][C]10443.5845994922[/C][C]278.686251798279[/C][/ROW]
[ROW][C]0.14[/C][C]10513.3985587055[/C][C]275.550430689484[/C][/ROW]
[ROW][C]0.15[/C][C]10580.7611237957[/C][C]270.320074553831[/C][/ROW]
[ROW][C]0.16[/C][C]10645.6812004991[/C][C]265.738461111437[/C][/ROW]
[ROW][C]0.17[/C][C]10708.5478424666[/C][C]264.492858422542[/C][/ROW]
[ROW][C]0.18[/C][C]10770.1283431477[/C][C]268.629527330321[/C][/ROW]
[ROW][C]0.19[/C][C]10831.4647843015[/C][C]279.160234131014[/C][/ROW]
[ROW][C]0.2[/C][C]10893.720853672[/C][C]296.029735635972[/C][/ROW]
[ROW][C]0.21[/C][C]10958.0221280434[/C][C]318.348889328777[/C][/ROW]
[ROW][C]0.22[/C][C]11025.3177762376[/C][C]344.635365555729[/C][/ROW]
[ROW][C]0.23[/C][C]11096.2772252318[/C][C]373.108126766859[/C][/ROW]
[ROW][C]0.24[/C][C]11171.2254761741[/C][C]401.778972645171[/C][/ROW]
[ROW][C]0.25[/C][C]11250.1158872181[/C][C]428.616851692604[/C][/ROW]
[ROW][C]0.26[/C][C]11332.5377873793[/C][C]451.677523972526[/C][/ROW]
[ROW][C]0.27[/C][C]11417.7560796289[/C][C]469.264813688434[/C][/ROW]
[ROW][C]0.28[/C][C]11504.7793261471[/C][C]480.096355926164[/C][/ROW]
[ROW][C]0.29[/C][C]11592.4509775403[/C][C]483.467412982899[/C][/ROW]
[ROW][C]0.3[/C][C]11679.5557156577[/C][C]479.287793622339[/C][/ROW]
[ROW][C]0.31[/C][C]11764.9302811186[/C][C]468.141480441461[/C][/ROW]
[ROW][C]0.32[/C][C]11847.5667396086[/C][C]451.23619947384[/C][/ROW]
[ROW][C]0.33[/C][C]11926.6966624676[/C][C]430.250016508066[/C][/ROW]
[ROW][C]0.34[/C][C]12001.8473137602[/C][C]407.117574023792[/C][/ROW]
[ROW][C]0.35[/C][C]12072.8651778779[/C][C]383.940313302022[/C][/ROW]
[ROW][C]0.36[/C][C]12139.9071121418[/C][C]362.621096339537[/C][/ROW]
[ROW][C]0.37[/C][C]12203.4039992457[/C][C]344.813119389455[/C][/ROW]
[ROW][C]0.38[/C][C]12264.0050860057[/C][C]331.758718274953[/C][/ROW]
[ROW][C]0.39[/C][C]12322.5126804039[/C][C]324.172313916157[/C][/ROW]
[ROW][C]0.4[/C][C]12379.8164558151[/C][C]322.305893205308[/C][/ROW]
[ROW][C]0.41[/C][C]12436.8346243798[/C][C]326.03223714394[/C][/ROW]
[ROW][C]0.42[/C][C]12494.4663265039[/C][C]334.931489072671[/C][/ROW]
[ROW][C]0.43[/C][C]12553.5564826683[/C][C]348.472509913335[/C][/ROW]
[ROW][C]0.44[/C][C]12614.8717355814[/C][C]366.103593590744[/C][/ROW]
[ROW][C]0.45[/C][C]12679.0844349115[/C][C]387.191618180652[/C][/ROW]
[ROW][C]0.46[/C][C]12746.7610672447[/C][C]411.144508338916[/C][/ROW]
[ROW][C]0.47[/C][C]12818.3520227151[/C][C]437.255178089438[/C][/ROW]
[ROW][C]0.48[/C][C]12894.1808201945[/C][C]464.774093436132[/C][/ROW]
[ROW][C]0.49[/C][C]12974.4324775175[/C][C]492.804070491155[/C][/ROW]
[ROW][C]0.5[/C][C]13059.1422004789[/C][C]520.415365312638[/C][/ROW]
[ROW][C]0.51[/C][C]13148.1866494127[/C][C]546.552759819332[/C][/ROW]
[ROW][C]0.52[/C][C]13241.280543554[/C][C]570.210959441885[/C][/ROW]
[ROW][C]0.53[/C][C]13337.9812577674[/C][C]590.415150091583[/C][/ROW]
[ROW][C]0.54[/C][C]13437.7034640141[/C][C]606.306338418142[/C][/ROW]
[ROW][C]0.55[/C][C]13539.744962716[/C][C]617.242765542135[/C][/ROW]
[ROW][C]0.56[/C][C]13643.3238460865[/C][C]622.810310468139[/C][/ROW]
[ROW][C]0.57[/C][C]13747.6262061918[/C][C]622.940436442984[/C][/ROW]
[ROW][C]0.58[/C][C]13851.8628394859[/C][C]617.867983870069[/C][/ROW]
[ROW][C]0.59[/C][C]13955.3328196484[/C][C]608.230723387014[/C][/ROW]
[ROW][C]0.6[/C][C]14057.491365157[/C][C]595.013247461223[/C][/ROW]
[ROW][C]0.61[/C][C]14158.0190535671[/C][C]579.616773121042[/C][/ROW]
[ROW][C]0.62[/C][C]14256.8890982008[/C][C]563.838174156929[/C][/ROW]
[ROW][C]0.63[/C][C]14354.429138232[/C][C]549.866772046281[/C][/ROW]
[ROW][C]0.64[/C][C]14451.373905253[/C][C]540.187238714335[/C][/ROW]
[ROW][C]0.65[/C][C]14548.9053606408[/C][C]537.59930695414[/C][/ROW]
[ROW][C]0.66[/C][C]14648.6775522132[/C][C]544.991465268474[/C][/ROW]
[ROW][C]0.67[/C][C]14752.8244803198[/C][C]565.16704737254[/C][/ROW]
[ROW][C]0.68[/C][C]14863.9504263381[/C][C]600.538283296996[/C][/ROW]
[ROW][C]0.69[/C][C]14985.1029503752[/C][C]652.970972664864[/C][/ROW]
[ROW][C]0.7[/C][C]15119.7283961528[/C][C]723.713841906575[/C][/ROW]
[ROW][C]0.71[/C][C]15271.6075840893[/C][C]813.47610040026[/C][/ROW]
[ROW][C]0.72[/C][C]15444.7651878633[/C][C]922.43785317741[/C][/ROW]
[ROW][C]0.73[/C][C]15643.3407023954[/C][C]1050.20753715679[/C][/ROW]
[ROW][C]0.74[/C][C]15871.403763057[/C][C]1195.61943879256[/C][/ROW]
[ROW][C]0.75[/C][C]16132.6949431206[/C][C]1356.32278417853[/C][/ROW]
[ROW][C]0.76[/C][C]16430.2788217847[/C][C]1528.26071515068[/C][/ROW]
[ROW][C]0.77[/C][C]16766.1123753073[/C][C]1705.20030141123[/C][/ROW]
[ROW][C]0.78[/C][C]17140.5596766497[/C][C]1878.42075873676[/C][/ROW]
[ROW][C]0.79[/C][C]17551.9205330473[/C][C]2036.85571981832[/C][/ROW]
[ROW][C]0.8[/C][C]17996.0779023505[/C][C]2167.7813960602[/C][/ROW]
[ROW][C]0.81[/C][C]18466.3938146921[/C][C]2258.29639967987[/C][/ROW]
[ROW][C]0.82[/C][C]18953.9811341722[/C][C]2297.31923815461[/C][/ROW]
[ROW][C]0.83[/C][C]19448.436784445[/C][C]2277.97098252236[/C][/ROW]
[ROW][C]0.84[/C][C]19939.0381180732[/C][C]2199.69797963608[/C][/ROW]
[ROW][C]0.85[/C][C]20416.2893965774[/C][C]2069.8081119467[/C][/ROW]
[ROW][C]0.86[/C][C]20873.5869579259[/C][C]1903.66010658843[/C][/ROW]
[ROW][C]0.87[/C][C]21308.6867719935[/C][C]1723.50768701451[/C][/ROW]
[ROW][C]0.88[/C][C]21724.6412114404[/C][C]1555.71411905264[/C][/ROW]
[ROW][C]0.89[/C][C]22129.9391831979[/C][C]1426.42212554259[/C][/ROW]
[ROW][C]0.9[/C][C]22537.7258302177[/C][C]1355.3542687619[/C][/ROW]
[ROW][C]0.91[/C][C]22964.1740458981[/C][C]1349.28400341366[/C][/ROW]
[ROW][C]0.92[/C][C]23426.3313859124[/C][C]1399.13766295485[/C][/ROW]
[ROW][C]0.93[/C][C]23940.0954096996[/C][C]1482.64437222516[/C][/ROW]
[ROW][C]0.94[/C][C]24519.2613474952[/C][C]1569.99096782376[/C][/ROW]
[ROW][C]0.95[/C][C]25176.1681232651[/C][C]1632.56653750524[/C][/ROW]
[ROW][C]0.96[/C][C]25921.8326554075[/C][C]1660.75300328296[/C][/ROW]
[ROW][C]0.97[/C][C]26757.6728666261[/C][C]1690.0837880526[/C][/ROW]
[ROW][C]0.98[/C][C]27646.9770736322[/C][C]1800.18120686137[/C][/ROW]
[ROW][C]0.99[/C][C]28469.6148430212[/C][C]2021.70078500654[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.018467.013788574331054.71763103227
0.028840.54010534686780.660458038535
0.039195.5506855683552.624302206467
0.049476.95507909025410.287445332223
0.059684.04864608559334.875155555016
0.069836.89507404514293.587429048487
0.079955.5381734468269.320337712216
0.0810053.9504912607258.058416293543
0.0910140.7262144795257.877708947171
0.110220.9454438088264.449673709789
0.1110297.4453639176272.439159966785
0.1210371.5466725326277.784524407716
0.1310443.5845994922278.686251798279
0.1410513.3985587055275.550430689484
0.1510580.7611237957270.320074553831
0.1610645.6812004991265.738461111437
0.1710708.5478424666264.492858422542
0.1810770.1283431477268.629527330321
0.1910831.4647843015279.160234131014
0.210893.720853672296.029735635972
0.2110958.0221280434318.348889328777
0.2211025.3177762376344.635365555729
0.2311096.2772252318373.108126766859
0.2411171.2254761741401.778972645171
0.2511250.1158872181428.616851692604
0.2611332.5377873793451.677523972526
0.2711417.7560796289469.264813688434
0.2811504.7793261471480.096355926164
0.2911592.4509775403483.467412982899
0.311679.5557156577479.287793622339
0.3111764.9302811186468.141480441461
0.3211847.5667396086451.23619947384
0.3311926.6966624676430.250016508066
0.3412001.8473137602407.117574023792
0.3512072.8651778779383.940313302022
0.3612139.9071121418362.621096339537
0.3712203.4039992457344.813119389455
0.3812264.0050860057331.758718274953
0.3912322.5126804039324.172313916157
0.412379.8164558151322.305893205308
0.4112436.8346243798326.03223714394
0.4212494.4663265039334.931489072671
0.4312553.5564826683348.472509913335
0.4412614.8717355814366.103593590744
0.4512679.0844349115387.191618180652
0.4612746.7610672447411.144508338916
0.4712818.3520227151437.255178089438
0.4812894.1808201945464.774093436132
0.4912974.4324775175492.804070491155
0.513059.1422004789520.415365312638
0.5113148.1866494127546.552759819332
0.5213241.280543554570.210959441885
0.5313337.9812577674590.415150091583
0.5413437.7034640141606.306338418142
0.5513539.744962716617.242765542135
0.5613643.3238460865622.810310468139
0.5713747.6262061918622.940436442984
0.5813851.8628394859617.867983870069
0.5913955.3328196484608.230723387014
0.614057.491365157595.013247461223
0.6114158.0190535671579.616773121042
0.6214256.8890982008563.838174156929
0.6314354.429138232549.866772046281
0.6414451.373905253540.187238714335
0.6514548.9053606408537.59930695414
0.6614648.6775522132544.991465268474
0.6714752.8244803198565.16704737254
0.6814863.9504263381600.538283296996
0.6914985.1029503752652.970972664864
0.715119.7283961528723.713841906575
0.7115271.6075840893813.47610040026
0.7215444.7651878633922.43785317741
0.7315643.34070239541050.20753715679
0.7415871.4037630571195.61943879256
0.7516132.69494312061356.32278417853
0.7616430.27882178471528.26071515068
0.7716766.11237530731705.20030141123
0.7817140.55967664971878.42075873676
0.7917551.92053304732036.85571981832
0.817996.07790235052167.7813960602
0.8118466.39381469212258.29639967987
0.8218953.98113417222297.31923815461
0.8319448.4367844452277.97098252236
0.8419939.03811807322199.69797963608
0.8520416.28939657742069.8081119467
0.8620873.58695792591903.66010658843
0.8721308.68677199351723.50768701451
0.8821724.64121144041555.71411905264
0.8922129.93918319791426.42212554259
0.922537.72583021771355.3542687619
0.9122964.17404589811349.28400341366
0.9223426.33138591241399.13766295485
0.9323940.09540969961482.64437222516
0.9424519.26134749521569.99096782376
0.9525176.16812326511632.56653750524
0.9625921.83265540751660.75300328296
0.9726757.67286662611690.0837880526
0.9827646.97707363221800.18120686137
0.9928469.61484302122021.70078500654


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')