FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 29 Feb 2008 02:46:10 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Feb/29/t1204278408gtfmx3f6k3ainxr.htm/, Retrieved Wed, 15 May 2024 22:42:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9285, Retrieved Wed, 15 May 2024 22:42:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact256

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] [Verkoop van gezon...] [2008-02-29 09:46:10] [c8f95257d399ca81c3dd1b8178a81b78] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13328
12873
14000
13477
14237
13674
13529
14058
12975
14326
14008
16193
14483
14011
15057
14884
15414
14440
14900
15074
14442
15307
14938
17193
15528
14765
15838
15723
16150
15486
15986
15983
15692
16490
15686
18897
16316
15636
17163
16534
16518
16375
16290
16352
15943
16362
16393
19051
16747
16320
17910
16961
17480
17049
16879
17473
16998
17307
17418
20169
17871
17226
19062
17804
19100
18522
18060
18869
18127
18871
18890
21263
19547
18450
20254
19240
20216
19420
19415
20018
18652
19978
19514
22148

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 4 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9285&T=0

[TABLE]
[ROW][C]Summary of compuational 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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9285&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9285&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112946.1129297887172.498639923511
0.0213079.5953100284245.834600036658
0.0313235.1820721449266.022420328655
0.0413385.0688960831259.874979749294
0.0513519.7625616286256.781244511813
0.0613640.2503053025258.566893047820
0.0713749.6096499048256.804384305612
0.0813849.6797363722249.085326886610
0.0913941.4728258805239.859091132949
0.114026.3307154709235.061164906944
0.1114106.2689453184237.523983035754
0.1214183.5460744292246.220150118558
0.1314260.0706003368258.426758082125
0.1414337.0710889279271.693987779802
0.1514415.0925379579284.459796661830
0.1614494.1779454532295.858278061686
0.1714574.0814133006305.414342165275
0.1814654.4336478055312.935478455436
0.1914734.8472295311318.495211674912
0.214814.9747041993322.436072362903
0.2114894.5307542833325.166937833049
0.2214973.2841774820326.940868309774
0.2315051.0277482717327.692475465911
0.2415127.5413998661327.098357479355
0.2515202.5680184348324.707251003976
0.2615275.8163322655320.263858447031
0.2715346.9934225021313.80135589516
0.2815415.8562793930305.795894211761
0.2915482.263707014296.995420419757
0.315546.2097204492288.250650556699
0.3115607.8264370128280.419776436450
0.3215667.3547745004273.967550230156
0.3315725.0909478896269.037641828900
0.3415781.3228723693265.385408047509
0.3515836.2720647125262.374984435423
0.3615890.0540611506259.343540574417
0.3715942.6652455909255.618598728722
0.3815993.9979912958250.647696327277
0.3916043.8805107017244.233180278924
0.416092.1336072158236.454784346834
0.4116138.6339900862227.839636619563
0.4216183.37300826219.132041688711
0.4316226.5004860348211.408343015461
0.4416268.3456190205205.771149197433
0.4516309.4103361668203.270407793040
0.4616350.3347463914204.650303037298
0.4716391.8387197359210.270639911141
0.4816434.6476541919219.889146430937
0.4916479.4133900865232.724320228024
0.516526.6425019673247.718519829103
0.5116576.6434981168263.451275769504
0.5216629.5017829875278.640240535139
0.5316685.0869394095292.158566688822
0.5416743.0916492163303.173570574886
0.5516803.0963080548311.24160068969
0.5616864.6490805419316.519540502843
0.5716927.3486202770319.474255805753
0.5816990.9164429644321.069772113422
0.5917055.2480237971322.387508181666
0.617120.4356436413324.573039480799
0.6117186.760997617328.640984351023
0.6217254.6605675567335.337969531736
0.6317324.6707322315344.924282399594
0.6417397.361772444357.327055669886
0.6517473.2699669797372.015549542929
0.6617552.8350469164388.329080047761
0.6717636.3471076623405.30825076591
0.6817723.9038311251421.894754827555
0.6917815.3768492103437.009214966113
0.717910.3862885841449.527930455202
0.7118008.2851893553458.257721952003
0.7218108.15967908462.037761689781
0.7318208.8545328199459.873370469054
0.7418309.0345871866451.030216318387
0.7518407.2884275249435.346539715449
0.7618502.2714350037413.329233419129
0.7718592.8725085718386.330320993366
0.7818678.3764897228356.399480604363
0.7918758.5874345671326.175977231186
0.818833.8806175811298.370290065788
0.8118905.1653068396275.454138353503
0.8218973.7640175079259.042706387977
0.8319041.2409175471249.655592088418
0.8419109.2319962832246.666084828820
0.8519179.3298008457248.798148135734
0.8619253.0458446452254.901668367758
0.8719331.8159176325264.317244205835
0.8819416.9521450447276.746607288787
0.8919509.4322975904291.237396687591
0.919609.5154141388304.89127453143
0.9119716.4235348014312.774505862681
0.9219828.7018222094309.995404319443
0.9319946.2034070640296.329282909413
0.9420074.5468369439283.579345645577
0.9520231.6309334709304.615195301591
0.9620452.5121975286401.86169541963
0.9720783.3548045139572.547281107223
0.9821248.3698619093744.16726285278
0.9921777.1301012959839.869031130042

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12946.1129297887 & 172.498639923511 \tabularnewline
0.02 & 13079.5953100284 & 245.834600036658 \tabularnewline
0.03 & 13235.1820721449 & 266.022420328655 \tabularnewline
0.04 & 13385.0688960831 & 259.874979749294 \tabularnewline
0.05 & 13519.7625616286 & 256.781244511813 \tabularnewline
0.06 & 13640.2503053025 & 258.566893047820 \tabularnewline
0.07 & 13749.6096499048 & 256.804384305612 \tabularnewline
0.08 & 13849.6797363722 & 249.085326886610 \tabularnewline
0.09 & 13941.4728258805 & 239.859091132949 \tabularnewline
0.1 & 14026.3307154709 & 235.061164906944 \tabularnewline
0.11 & 14106.2689453184 & 237.523983035754 \tabularnewline
0.12 & 14183.5460744292 & 246.220150118558 \tabularnewline
0.13 & 14260.0706003368 & 258.426758082125 \tabularnewline
0.14 & 14337.0710889279 & 271.693987779802 \tabularnewline
0.15 & 14415.0925379579 & 284.459796661830 \tabularnewline
0.16 & 14494.1779454532 & 295.858278061686 \tabularnewline
0.17 & 14574.0814133006 & 305.414342165275 \tabularnewline
0.18 & 14654.4336478055 & 312.935478455436 \tabularnewline
0.19 & 14734.8472295311 & 318.495211674912 \tabularnewline
0.2 & 14814.9747041993 & 322.436072362903 \tabularnewline
0.21 & 14894.5307542833 & 325.166937833049 \tabularnewline
0.22 & 14973.2841774820 & 326.940868309774 \tabularnewline
0.23 & 15051.0277482717 & 327.692475465911 \tabularnewline
0.24 & 15127.5413998661 & 327.098357479355 \tabularnewline
0.25 & 15202.5680184348 & 324.707251003976 \tabularnewline
0.26 & 15275.8163322655 & 320.263858447031 \tabularnewline
0.27 & 15346.9934225021 & 313.80135589516 \tabularnewline
0.28 & 15415.8562793930 & 305.795894211761 \tabularnewline
0.29 & 15482.263707014 & 296.995420419757 \tabularnewline
0.3 & 15546.2097204492 & 288.250650556699 \tabularnewline
0.31 & 15607.8264370128 & 280.419776436450 \tabularnewline
0.32 & 15667.3547745004 & 273.967550230156 \tabularnewline
0.33 & 15725.0909478896 & 269.037641828900 \tabularnewline
0.34 & 15781.3228723693 & 265.385408047509 \tabularnewline
0.35 & 15836.2720647125 & 262.374984435423 \tabularnewline
0.36 & 15890.0540611506 & 259.343540574417 \tabularnewline
0.37 & 15942.6652455909 & 255.618598728722 \tabularnewline
0.38 & 15993.9979912958 & 250.647696327277 \tabularnewline
0.39 & 16043.8805107017 & 244.233180278924 \tabularnewline
0.4 & 16092.1336072158 & 236.454784346834 \tabularnewline
0.41 & 16138.6339900862 & 227.839636619563 \tabularnewline
0.42 & 16183.37300826 & 219.132041688711 \tabularnewline
0.43 & 16226.5004860348 & 211.408343015461 \tabularnewline
0.44 & 16268.3456190205 & 205.771149197433 \tabularnewline
0.45 & 16309.4103361668 & 203.270407793040 \tabularnewline
0.46 & 16350.3347463914 & 204.650303037298 \tabularnewline
0.47 & 16391.8387197359 & 210.270639911141 \tabularnewline
0.48 & 16434.6476541919 & 219.889146430937 \tabularnewline
0.49 & 16479.4133900865 & 232.724320228024 \tabularnewline
0.5 & 16526.6425019673 & 247.718519829103 \tabularnewline
0.51 & 16576.6434981168 & 263.451275769504 \tabularnewline
0.52 & 16629.5017829875 & 278.640240535139 \tabularnewline
0.53 & 16685.0869394095 & 292.158566688822 \tabularnewline
0.54 & 16743.0916492163 & 303.173570574886 \tabularnewline
0.55 & 16803.0963080548 & 311.24160068969 \tabularnewline
0.56 & 16864.6490805419 & 316.519540502843 \tabularnewline
0.57 & 16927.3486202770 & 319.474255805753 \tabularnewline
0.58 & 16990.9164429644 & 321.069772113422 \tabularnewline
0.59 & 17055.2480237971 & 322.387508181666 \tabularnewline
0.6 & 17120.4356436413 & 324.573039480799 \tabularnewline
0.61 & 17186.760997617 & 328.640984351023 \tabularnewline
0.62 & 17254.6605675567 & 335.337969531736 \tabularnewline
0.63 & 17324.6707322315 & 344.924282399594 \tabularnewline
0.64 & 17397.361772444 & 357.327055669886 \tabularnewline
0.65 & 17473.2699669797 & 372.015549542929 \tabularnewline
0.66 & 17552.8350469164 & 388.329080047761 \tabularnewline
0.67 & 17636.3471076623 & 405.30825076591 \tabularnewline
0.68 & 17723.9038311251 & 421.894754827555 \tabularnewline
0.69 & 17815.3768492103 & 437.009214966113 \tabularnewline
0.7 & 17910.3862885841 & 449.527930455202 \tabularnewline
0.71 & 18008.2851893553 & 458.257721952003 \tabularnewline
0.72 & 18108.15967908 & 462.037761689781 \tabularnewline
0.73 & 18208.8545328199 & 459.873370469054 \tabularnewline
0.74 & 18309.0345871866 & 451.030216318387 \tabularnewline
0.75 & 18407.2884275249 & 435.346539715449 \tabularnewline
0.76 & 18502.2714350037 & 413.329233419129 \tabularnewline
0.77 & 18592.8725085718 & 386.330320993366 \tabularnewline
0.78 & 18678.3764897228 & 356.399480604363 \tabularnewline
0.79 & 18758.5874345671 & 326.175977231186 \tabularnewline
0.8 & 18833.8806175811 & 298.370290065788 \tabularnewline
0.81 & 18905.1653068396 & 275.454138353503 \tabularnewline
0.82 & 18973.7640175079 & 259.042706387977 \tabularnewline
0.83 & 19041.2409175471 & 249.655592088418 \tabularnewline
0.84 & 19109.2319962832 & 246.666084828820 \tabularnewline
0.85 & 19179.3298008457 & 248.798148135734 \tabularnewline
0.86 & 19253.0458446452 & 254.901668367758 \tabularnewline
0.87 & 19331.8159176325 & 264.317244205835 \tabularnewline
0.88 & 19416.9521450447 & 276.746607288787 \tabularnewline
0.89 & 19509.4322975904 & 291.237396687591 \tabularnewline
0.9 & 19609.5154141388 & 304.89127453143 \tabularnewline
0.91 & 19716.4235348014 & 312.774505862681 \tabularnewline
0.92 & 19828.7018222094 & 309.995404319443 \tabularnewline
0.93 & 19946.2034070640 & 296.329282909413 \tabularnewline
0.94 & 20074.5468369439 & 283.579345645577 \tabularnewline
0.95 & 20231.6309334709 & 304.615195301591 \tabularnewline
0.96 & 20452.5121975286 & 401.86169541963 \tabularnewline
0.97 & 20783.3548045139 & 572.547281107223 \tabularnewline
0.98 & 21248.3698619093 & 744.16726285278 \tabularnewline
0.99 & 21777.1301012959 & 839.869031130042 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9285&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]12946.1129297887[/C][C]172.498639923511[/C][/ROW]
[ROW][C]0.02[/C][C]13079.5953100284[/C][C]245.834600036658[/C][/ROW]
[ROW][C]0.03[/C][C]13235.1820721449[/C][C]266.022420328655[/C][/ROW]
[ROW][C]0.04[/C][C]13385.0688960831[/C][C]259.874979749294[/C][/ROW]
[ROW][C]0.05[/C][C]13519.7625616286[/C][C]256.781244511813[/C][/ROW]
[ROW][C]0.06[/C][C]13640.2503053025[/C][C]258.566893047820[/C][/ROW]
[ROW][C]0.07[/C][C]13749.6096499048[/C][C]256.804384305612[/C][/ROW]
[ROW][C]0.08[/C][C]13849.6797363722[/C][C]249.085326886610[/C][/ROW]
[ROW][C]0.09[/C][C]13941.4728258805[/C][C]239.859091132949[/C][/ROW]
[ROW][C]0.1[/C][C]14026.3307154709[/C][C]235.061164906944[/C][/ROW]
[ROW][C]0.11[/C][C]14106.2689453184[/C][C]237.523983035754[/C][/ROW]
[ROW][C]0.12[/C][C]14183.5460744292[/C][C]246.220150118558[/C][/ROW]
[ROW][C]0.13[/C][C]14260.0706003368[/C][C]258.426758082125[/C][/ROW]
[ROW][C]0.14[/C][C]14337.0710889279[/C][C]271.693987779802[/C][/ROW]
[ROW][C]0.15[/C][C]14415.0925379579[/C][C]284.459796661830[/C][/ROW]
[ROW][C]0.16[/C][C]14494.1779454532[/C][C]295.858278061686[/C][/ROW]
[ROW][C]0.17[/C][C]14574.0814133006[/C][C]305.414342165275[/C][/ROW]
[ROW][C]0.18[/C][C]14654.4336478055[/C][C]312.935478455436[/C][/ROW]
[ROW][C]0.19[/C][C]14734.8472295311[/C][C]318.495211674912[/C][/ROW]
[ROW][C]0.2[/C][C]14814.9747041993[/C][C]322.436072362903[/C][/ROW]
[ROW][C]0.21[/C][C]14894.5307542833[/C][C]325.166937833049[/C][/ROW]
[ROW][C]0.22[/C][C]14973.2841774820[/C][C]326.940868309774[/C][/ROW]
[ROW][C]0.23[/C][C]15051.0277482717[/C][C]327.692475465911[/C][/ROW]
[ROW][C]0.24[/C][C]15127.5413998661[/C][C]327.098357479355[/C][/ROW]
[ROW][C]0.25[/C][C]15202.5680184348[/C][C]324.707251003976[/C][/ROW]
[ROW][C]0.26[/C][C]15275.8163322655[/C][C]320.263858447031[/C][/ROW]
[ROW][C]0.27[/C][C]15346.9934225021[/C][C]313.80135589516[/C][/ROW]
[ROW][C]0.28[/C][C]15415.8562793930[/C][C]305.795894211761[/C][/ROW]
[ROW][C]0.29[/C][C]15482.263707014[/C][C]296.995420419757[/C][/ROW]
[ROW][C]0.3[/C][C]15546.2097204492[/C][C]288.250650556699[/C][/ROW]
[ROW][C]0.31[/C][C]15607.8264370128[/C][C]280.419776436450[/C][/ROW]
[ROW][C]0.32[/C][C]15667.3547745004[/C][C]273.967550230156[/C][/ROW]
[ROW][C]0.33[/C][C]15725.0909478896[/C][C]269.037641828900[/C][/ROW]
[ROW][C]0.34[/C][C]15781.3228723693[/C][C]265.385408047509[/C][/ROW]
[ROW][C]0.35[/C][C]15836.2720647125[/C][C]262.374984435423[/C][/ROW]
[ROW][C]0.36[/C][C]15890.0540611506[/C][C]259.343540574417[/C][/ROW]
[ROW][C]0.37[/C][C]15942.6652455909[/C][C]255.618598728722[/C][/ROW]
[ROW][C]0.38[/C][C]15993.9979912958[/C][C]250.647696327277[/C][/ROW]
[ROW][C]0.39[/C][C]16043.8805107017[/C][C]244.233180278924[/C][/ROW]
[ROW][C]0.4[/C][C]16092.1336072158[/C][C]236.454784346834[/C][/ROW]
[ROW][C]0.41[/C][C]16138.6339900862[/C][C]227.839636619563[/C][/ROW]
[ROW][C]0.42[/C][C]16183.37300826[/C][C]219.132041688711[/C][/ROW]
[ROW][C]0.43[/C][C]16226.5004860348[/C][C]211.408343015461[/C][/ROW]
[ROW][C]0.44[/C][C]16268.3456190205[/C][C]205.771149197433[/C][/ROW]
[ROW][C]0.45[/C][C]16309.4103361668[/C][C]203.270407793040[/C][/ROW]
[ROW][C]0.46[/C][C]16350.3347463914[/C][C]204.650303037298[/C][/ROW]
[ROW][C]0.47[/C][C]16391.8387197359[/C][C]210.270639911141[/C][/ROW]
[ROW][C]0.48[/C][C]16434.6476541919[/C][C]219.889146430937[/C][/ROW]
[ROW][C]0.49[/C][C]16479.4133900865[/C][C]232.724320228024[/C][/ROW]
[ROW][C]0.5[/C][C]16526.6425019673[/C][C]247.718519829103[/C][/ROW]
[ROW][C]0.51[/C][C]16576.6434981168[/C][C]263.451275769504[/C][/ROW]
[ROW][C]0.52[/C][C]16629.5017829875[/C][C]278.640240535139[/C][/ROW]
[ROW][C]0.53[/C][C]16685.0869394095[/C][C]292.158566688822[/C][/ROW]
[ROW][C]0.54[/C][C]16743.0916492163[/C][C]303.173570574886[/C][/ROW]
[ROW][C]0.55[/C][C]16803.0963080548[/C][C]311.24160068969[/C][/ROW]
[ROW][C]0.56[/C][C]16864.6490805419[/C][C]316.519540502843[/C][/ROW]
[ROW][C]0.57[/C][C]16927.3486202770[/C][C]319.474255805753[/C][/ROW]
[ROW][C]0.58[/C][C]16990.9164429644[/C][C]321.069772113422[/C][/ROW]
[ROW][C]0.59[/C][C]17055.2480237971[/C][C]322.387508181666[/C][/ROW]
[ROW][C]0.6[/C][C]17120.4356436413[/C][C]324.573039480799[/C][/ROW]
[ROW][C]0.61[/C][C]17186.760997617[/C][C]328.640984351023[/C][/ROW]
[ROW][C]0.62[/C][C]17254.6605675567[/C][C]335.337969531736[/C][/ROW]
[ROW][C]0.63[/C][C]17324.6707322315[/C][C]344.924282399594[/C][/ROW]
[ROW][C]0.64[/C][C]17397.361772444[/C][C]357.327055669886[/C][/ROW]
[ROW][C]0.65[/C][C]17473.2699669797[/C][C]372.015549542929[/C][/ROW]
[ROW][C]0.66[/C][C]17552.8350469164[/C][C]388.329080047761[/C][/ROW]
[ROW][C]0.67[/C][C]17636.3471076623[/C][C]405.30825076591[/C][/ROW]
[ROW][C]0.68[/C][C]17723.9038311251[/C][C]421.894754827555[/C][/ROW]
[ROW][C]0.69[/C][C]17815.3768492103[/C][C]437.009214966113[/C][/ROW]
[ROW][C]0.7[/C][C]17910.3862885841[/C][C]449.527930455202[/C][/ROW]
[ROW][C]0.71[/C][C]18008.2851893553[/C][C]458.257721952003[/C][/ROW]
[ROW][C]0.72[/C][C]18108.15967908[/C][C]462.037761689781[/C][/ROW]
[ROW][C]0.73[/C][C]18208.8545328199[/C][C]459.873370469054[/C][/ROW]
[ROW][C]0.74[/C][C]18309.0345871866[/C][C]451.030216318387[/C][/ROW]
[ROW][C]0.75[/C][C]18407.2884275249[/C][C]435.346539715449[/C][/ROW]
[ROW][C]0.76[/C][C]18502.2714350037[/C][C]413.329233419129[/C][/ROW]
[ROW][C]0.77[/C][C]18592.8725085718[/C][C]386.330320993366[/C][/ROW]
[ROW][C]0.78[/C][C]18678.3764897228[/C][C]356.399480604363[/C][/ROW]
[ROW][C]0.79[/C][C]18758.5874345671[/C][C]326.175977231186[/C][/ROW]
[ROW][C]0.8[/C][C]18833.8806175811[/C][C]298.370290065788[/C][/ROW]
[ROW][C]0.81[/C][C]18905.1653068396[/C][C]275.454138353503[/C][/ROW]
[ROW][C]0.82[/C][C]18973.7640175079[/C][C]259.042706387977[/C][/ROW]
[ROW][C]0.83[/C][C]19041.2409175471[/C][C]249.655592088418[/C][/ROW]
[ROW][C]0.84[/C][C]19109.2319962832[/C][C]246.666084828820[/C][/ROW]
[ROW][C]0.85[/C][C]19179.3298008457[/C][C]248.798148135734[/C][/ROW]
[ROW][C]0.86[/C][C]19253.0458446452[/C][C]254.901668367758[/C][/ROW]
[ROW][C]0.87[/C][C]19331.8159176325[/C][C]264.317244205835[/C][/ROW]
[ROW][C]0.88[/C][C]19416.9521450447[/C][C]276.746607288787[/C][/ROW]
[ROW][C]0.89[/C][C]19509.4322975904[/C][C]291.237396687591[/C][/ROW]
[ROW][C]0.9[/C][C]19609.5154141388[/C][C]304.89127453143[/C][/ROW]
[ROW][C]0.91[/C][C]19716.4235348014[/C][C]312.774505862681[/C][/ROW]
[ROW][C]0.92[/C][C]19828.7018222094[/C][C]309.995404319443[/C][/ROW]
[ROW][C]0.93[/C][C]19946.2034070640[/C][C]296.329282909413[/C][/ROW]
[ROW][C]0.94[/C][C]20074.5468369439[/C][C]283.579345645577[/C][/ROW]
[ROW][C]0.95[/C][C]20231.6309334709[/C][C]304.615195301591[/C][/ROW]
[ROW][C]0.96[/C][C]20452.5121975286[/C][C]401.86169541963[/C][/ROW]
[ROW][C]0.97[/C][C]20783.3548045139[/C][C]572.547281107223[/C][/ROW]
[ROW][C]0.98[/C][C]21248.3698619093[/C][C]744.16726285278[/C][/ROW]
[ROW][C]0.99[/C][C]21777.1301012959[/C][C]839.869031130042[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9285&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9285&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
0.0112946.1129297887172.498639923511
0.0213079.5953100284245.834600036658
0.0313235.1820721449266.022420328655
0.0413385.0688960831259.874979749294
0.0513519.7625616286256.781244511813
0.0613640.2503053025258.566893047820
0.0713749.6096499048256.804384305612
0.0813849.6797363722249.085326886610
0.0913941.4728258805239.859091132949
0.114026.3307154709235.061164906944
0.1114106.2689453184237.523983035754
0.1214183.5460744292246.220150118558
0.1314260.0706003368258.426758082125
0.1414337.0710889279271.693987779802
0.1514415.0925379579284.459796661830
0.1614494.1779454532295.858278061686
0.1714574.0814133006305.414342165275
0.1814654.4336478055312.935478455436
0.1914734.8472295311318.495211674912
0.214814.9747041993322.436072362903
0.2114894.5307542833325.166937833049
0.2214973.2841774820326.940868309774
0.2315051.0277482717327.692475465911
0.2415127.5413998661327.098357479355
0.2515202.5680184348324.707251003976
0.2615275.8163322655320.263858447031
0.2715346.9934225021313.80135589516
0.2815415.8562793930305.795894211761
0.2915482.263707014296.995420419757
0.315546.2097204492288.250650556699
0.3115607.8264370128280.419776436450
0.3215667.3547745004273.967550230156
0.3315725.0909478896269.037641828900
0.3415781.3228723693265.385408047509
0.3515836.2720647125262.374984435423
0.3615890.0540611506259.343540574417
0.3715942.6652455909255.618598728722
0.3815993.9979912958250.647696327277
0.3916043.8805107017244.233180278924
0.416092.1336072158236.454784346834
0.4116138.6339900862227.839636619563
0.4216183.37300826219.132041688711
0.4316226.5004860348211.408343015461
0.4416268.3456190205205.771149197433
0.4516309.4103361668203.270407793040
0.4616350.3347463914204.650303037298
0.4716391.8387197359210.270639911141
0.4816434.6476541919219.889146430937
0.4916479.4133900865232.724320228024
0.516526.6425019673247.718519829103
0.5116576.6434981168263.451275769504
0.5216629.5017829875278.640240535139
0.5316685.0869394095292.158566688822
0.5416743.0916492163303.173570574886
0.5516803.0963080548311.24160068969
0.5616864.6490805419316.519540502843
0.5716927.3486202770319.474255805753
0.5816990.9164429644321.069772113422
0.5917055.2480237971322.387508181666
0.617120.4356436413324.573039480799
0.6117186.760997617328.640984351023
0.6217254.6605675567335.337969531736
0.6317324.6707322315344.924282399594
0.6417397.361772444357.327055669886
0.6517473.2699669797372.015549542929
0.6617552.8350469164388.329080047761
0.6717636.3471076623405.30825076591
0.6817723.9038311251421.894754827555
0.6917815.3768492103437.009214966113
0.717910.3862885841449.527930455202
0.7118008.2851893553458.257721952003
0.7218108.15967908462.037761689781
0.7318208.8545328199459.873370469054
0.7418309.0345871866451.030216318387
0.7518407.2884275249435.346539715449
0.7618502.2714350037413.329233419129
0.7718592.8725085718386.330320993366
0.7818678.3764897228356.399480604363
0.7918758.5874345671326.175977231186
0.818833.8806175811298.370290065788
0.8118905.1653068396275.454138353503
0.8218973.7640175079259.042706387977
0.8319041.2409175471249.655592088418
0.8419109.2319962832246.666084828820
0.8519179.3298008457248.798148135734
0.8619253.0458446452254.901668367758
0.8719331.8159176325264.317244205835
0.8819416.9521450447276.746607288787
0.8919509.4322975904291.237396687591
0.919609.5154141388304.89127453143
0.9119716.4235348014312.774505862681
0.9219828.7018222094309.995404319443
0.9319946.2034070640296.329282909413
0.9420074.5468369439283.579345645577
0.9520231.6309334709304.615195301591
0.9620452.5121975286401.86169541963
0.9720783.3548045139572.547281107223
0.9821248.3698619093744.16726285278
0.9921777.1301012959839.869031130042


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')