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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, 18 May 2011 13:39:23 +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/18/t13057258550rh6mmirnydq8yr.htm/, Retrieved Tue, 14 May 2024 01:01:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=121838, Retrieved Tue, 14 May 2024 01:01:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact75

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] [] [2011-05-18 13:39:23] [31b126aa1b32aa85c8fd6bf40153b92b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19097.1
19304.6
19601.7
16006.9
17681.2
19790.4
17014.2
17424.5
18908.9
15692.1
15160
15794.3
16032.1
16065
16236.8
12521
14762.1
15446.9
13635
14212.6
15021.7
14134.3
13721.4
14384.5
15638.6
19711.6
20359.8
16141.4
20056.9
20605.5
19325.8
20547.7
19211.2
19009.5
18746.8
16471.5
18957.2
20515.2
18374.4
16192.9
18147.5
19301.4
18344.7
17183.6
19630
17167.2
17428.5
16016.5
18466.5
18406.6
18174.1
14851.9
16260.7
18329.6
18003.8
15903.8
19554.2
16554.2
16198.9
16571.8
17535.2
16198.1
17487.5
13768
14915.8
17160.9
15607.4
16181.5
17413.2
15116.3
14544.5
15050.6
15535.4
15919.3
15853.1
12336.4
14355.5
16040.8
13867.7
14656.6

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'Gwilym Jenkins' @ www.wessa.org

\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 & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121838&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]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121838&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121838&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'Gwilym Jenkins' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112496.6172862056404.978226525871
0.0212791.9871196902587.423319282307
0.0313125.5533911689570.631584161647
0.0413416.8313863738446.981821876824
0.0513638.7362762173336.734631893034
0.0613802.7057683968285.671804053587
0.0713931.4124791568276.70346673491
0.0814042.5062575304281.304793877963
0.0914145.1969786438285.635231905586
0.114242.8922518195286.894631952231
0.1114336.4445416887286.269841845789
0.1214426.059372654285.173512755533
0.1314511.972997916284.095381906115
0.1414594.5305495634282.998790702435
0.1514674.123962253281.926653055236
0.1614751.1686770629281.292476296023
0.1714826.1234849495281.828661702968
0.1814899.5025245904284.197035513415
0.1914971.8429048186288.61419964894
0.215043.6269354562294.660795099366
0.2115115.1854422877301.305052105076
0.2215186.6177891049307.14638005215
0.2315257.7567026704310.735866058577
0.2415328.1889789912311.029051336223
0.2515397.3248286454307.444935902829
0.2615464.4954477332299.963778306428
0.2715529.0536758835289.071279151744
0.2815590.4561790339275.582580537603
0.2915648.3146476532260.40679872979
0.315702.4140159533244.401936473712
0.3115752.7041096849228.326658125781
0.3215799.275430984212.756804725032
0.3315842.3298947733198.091787631179
0.3415882.1545669131184.708844126409
0.3515919.1026720297172.873849424228
0.3615953.5828724657162.900018124921
0.3715986.0558067271155.12162637777
0.3816017.0360384114149.871543487497
0.3916047.0973327262147.57178214573
0.416076.8789224032148.630972227077
0.4116107.0898249901153.58921026012
0.4216138.5074531253162.850701553309
0.4316171.9662073886176.791949695914
0.4416208.3320689179195.545018929799
0.4516248.4608571061218.920587706095
0.4616293.1408259459246.344457914968
0.4716343.0241886707276.786803654913
0.4816398.5561171199308.880163684742
0.4916459.9126958347340.882293570393
0.516526.9602527065371.013544524571
0.5116599.2468458799397.461570204814
0.5216676.0324371022418.773276372315
0.5316756.3580232467433.90391153962
0.5416839.1468527052442.513953218165
0.5516923.3242448361444.9505478473
0.5617007.9378880749442.235183286611
0.5717092.2589511443435.967914112027
0.5817175.8464972944427.98325545338
0.5917258.5634477135420.189988830042
0.617340.5408742692414.053073257918
0.6117422.0972478656410.59111190831
0.6217503.6285201911409.877291820226
0.6317585.4915396054411.247212011632
0.6417667.9055426048413.439734818213
0.6517750.8932983128415.000549049385
0.6617834.275024049414.622820529253
0.6717917.7158918968411.426781429303
0.6818000.8145084167405.244916486997
0.6918083.2086097293396.614521384055
0.718164.6686851139386.665378376168
0.7118245.1524806973376.77347799692
0.7218324.8034567997368.195214054164
0.7318403.8919745648361.617340267326
0.7418482.7149379237356.969673560958
0.7518561.4826469088353.454349069919
0.7618640.2264151102349.751421342782
0.7718718.7552134848344.438775490019
0.7818796.6756518459336.446767299433
0.7918873.4712984966325.386194335045
0.818948.6203058847311.484261834049
0.8119021.7195928764295.654135781602
0.8219092.5825098764279.17975270095
0.8319161.2858774333263.420854039297
0.8419228.1607237753249.481256432272
0.8519293.7462878411237.996536338071
0.8619358.7526753198229.083761297413
0.8719424.091716704222.633092031395
0.8819491.0199153008218.989591033722
0.8919561.3746293688219.606718803778
0.919637.7738236638227.159280181944
0.9119723.5260736805244.166292315795
0.9219821.9452832135270.157832797197
0.9319934.9040647573298.91980186855
0.9420060.8864808415318.337643126055
0.9520193.4633495081313.776713580972
0.9620321.6424236865275.176299295074
0.9720433.1292388423205.648947416009
0.9820519.2472326642126.165033328402
0.9920576.985261352270.5249242786919

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12496.6172862056 & 404.978226525871 \tabularnewline
0.02 & 12791.9871196902 & 587.423319282307 \tabularnewline
0.03 & 13125.5533911689 & 570.631584161647 \tabularnewline
0.04 & 13416.8313863738 & 446.981821876824 \tabularnewline
0.05 & 13638.7362762173 & 336.734631893034 \tabularnewline
0.06 & 13802.7057683968 & 285.671804053587 \tabularnewline
0.07 & 13931.4124791568 & 276.70346673491 \tabularnewline
0.08 & 14042.5062575304 & 281.304793877963 \tabularnewline
0.09 & 14145.1969786438 & 285.635231905586 \tabularnewline
0.1 & 14242.8922518195 & 286.894631952231 \tabularnewline
0.11 & 14336.4445416887 & 286.269841845789 \tabularnewline
0.12 & 14426.059372654 & 285.173512755533 \tabularnewline
0.13 & 14511.972997916 & 284.095381906115 \tabularnewline
0.14 & 14594.5305495634 & 282.998790702435 \tabularnewline
0.15 & 14674.123962253 & 281.926653055236 \tabularnewline
0.16 & 14751.1686770629 & 281.292476296023 \tabularnewline
0.17 & 14826.1234849495 & 281.828661702968 \tabularnewline
0.18 & 14899.5025245904 & 284.197035513415 \tabularnewline
0.19 & 14971.8429048186 & 288.61419964894 \tabularnewline
0.2 & 15043.6269354562 & 294.660795099366 \tabularnewline
0.21 & 15115.1854422877 & 301.305052105076 \tabularnewline
0.22 & 15186.6177891049 & 307.14638005215 \tabularnewline
0.23 & 15257.7567026704 & 310.735866058577 \tabularnewline
0.24 & 15328.1889789912 & 311.029051336223 \tabularnewline
0.25 & 15397.3248286454 & 307.444935902829 \tabularnewline
0.26 & 15464.4954477332 & 299.963778306428 \tabularnewline
0.27 & 15529.0536758835 & 289.071279151744 \tabularnewline
0.28 & 15590.4561790339 & 275.582580537603 \tabularnewline
0.29 & 15648.3146476532 & 260.40679872979 \tabularnewline
0.3 & 15702.4140159533 & 244.401936473712 \tabularnewline
0.31 & 15752.7041096849 & 228.326658125781 \tabularnewline
0.32 & 15799.275430984 & 212.756804725032 \tabularnewline
0.33 & 15842.3298947733 & 198.091787631179 \tabularnewline
0.34 & 15882.1545669131 & 184.708844126409 \tabularnewline
0.35 & 15919.1026720297 & 172.873849424228 \tabularnewline
0.36 & 15953.5828724657 & 162.900018124921 \tabularnewline
0.37 & 15986.0558067271 & 155.12162637777 \tabularnewline
0.38 & 16017.0360384114 & 149.871543487497 \tabularnewline
0.39 & 16047.0973327262 & 147.57178214573 \tabularnewline
0.4 & 16076.8789224032 & 148.630972227077 \tabularnewline
0.41 & 16107.0898249901 & 153.58921026012 \tabularnewline
0.42 & 16138.5074531253 & 162.850701553309 \tabularnewline
0.43 & 16171.9662073886 & 176.791949695914 \tabularnewline
0.44 & 16208.3320689179 & 195.545018929799 \tabularnewline
0.45 & 16248.4608571061 & 218.920587706095 \tabularnewline
0.46 & 16293.1408259459 & 246.344457914968 \tabularnewline
0.47 & 16343.0241886707 & 276.786803654913 \tabularnewline
0.48 & 16398.5561171199 & 308.880163684742 \tabularnewline
0.49 & 16459.9126958347 & 340.882293570393 \tabularnewline
0.5 & 16526.9602527065 & 371.013544524571 \tabularnewline
0.51 & 16599.2468458799 & 397.461570204814 \tabularnewline
0.52 & 16676.0324371022 & 418.773276372315 \tabularnewline
0.53 & 16756.3580232467 & 433.90391153962 \tabularnewline
0.54 & 16839.1468527052 & 442.513953218165 \tabularnewline
0.55 & 16923.3242448361 & 444.9505478473 \tabularnewline
0.56 & 17007.9378880749 & 442.235183286611 \tabularnewline
0.57 & 17092.2589511443 & 435.967914112027 \tabularnewline
0.58 & 17175.8464972944 & 427.98325545338 \tabularnewline
0.59 & 17258.5634477135 & 420.189988830042 \tabularnewline
0.6 & 17340.5408742692 & 414.053073257918 \tabularnewline
0.61 & 17422.0972478656 & 410.59111190831 \tabularnewline
0.62 & 17503.6285201911 & 409.877291820226 \tabularnewline
0.63 & 17585.4915396054 & 411.247212011632 \tabularnewline
0.64 & 17667.9055426048 & 413.439734818213 \tabularnewline
0.65 & 17750.8932983128 & 415.000549049385 \tabularnewline
0.66 & 17834.275024049 & 414.622820529253 \tabularnewline
0.67 & 17917.7158918968 & 411.426781429303 \tabularnewline
0.68 & 18000.8145084167 & 405.244916486997 \tabularnewline
0.69 & 18083.2086097293 & 396.614521384055 \tabularnewline
0.7 & 18164.6686851139 & 386.665378376168 \tabularnewline
0.71 & 18245.1524806973 & 376.77347799692 \tabularnewline
0.72 & 18324.8034567997 & 368.195214054164 \tabularnewline
0.73 & 18403.8919745648 & 361.617340267326 \tabularnewline
0.74 & 18482.7149379237 & 356.969673560958 \tabularnewline
0.75 & 18561.4826469088 & 353.454349069919 \tabularnewline
0.76 & 18640.2264151102 & 349.751421342782 \tabularnewline
0.77 & 18718.7552134848 & 344.438775490019 \tabularnewline
0.78 & 18796.6756518459 & 336.446767299433 \tabularnewline
0.79 & 18873.4712984966 & 325.386194335045 \tabularnewline
0.8 & 18948.6203058847 & 311.484261834049 \tabularnewline
0.81 & 19021.7195928764 & 295.654135781602 \tabularnewline
0.82 & 19092.5825098764 & 279.17975270095 \tabularnewline
0.83 & 19161.2858774333 & 263.420854039297 \tabularnewline
0.84 & 19228.1607237753 & 249.481256432272 \tabularnewline
0.85 & 19293.7462878411 & 237.996536338071 \tabularnewline
0.86 & 19358.7526753198 & 229.083761297413 \tabularnewline
0.87 & 19424.091716704 & 222.633092031395 \tabularnewline
0.88 & 19491.0199153008 & 218.989591033722 \tabularnewline
0.89 & 19561.3746293688 & 219.606718803778 \tabularnewline
0.9 & 19637.7738236638 & 227.159280181944 \tabularnewline
0.91 & 19723.5260736805 & 244.166292315795 \tabularnewline
0.92 & 19821.9452832135 & 270.157832797197 \tabularnewline
0.93 & 19934.9040647573 & 298.91980186855 \tabularnewline
0.94 & 20060.8864808415 & 318.337643126055 \tabularnewline
0.95 & 20193.4633495081 & 313.776713580972 \tabularnewline
0.96 & 20321.6424236865 & 275.176299295074 \tabularnewline
0.97 & 20433.1292388423 & 205.648947416009 \tabularnewline
0.98 & 20519.2472326642 & 126.165033328402 \tabularnewline
0.99 & 20576.9852613522 & 70.5249242786919 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=121838&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]12496.6172862056[/C][C]404.978226525871[/C][/ROW]
[ROW][C]0.02[/C][C]12791.9871196902[/C][C]587.423319282307[/C][/ROW]
[ROW][C]0.03[/C][C]13125.5533911689[/C][C]570.631584161647[/C][/ROW]
[ROW][C]0.04[/C][C]13416.8313863738[/C][C]446.981821876824[/C][/ROW]
[ROW][C]0.05[/C][C]13638.7362762173[/C][C]336.734631893034[/C][/ROW]
[ROW][C]0.06[/C][C]13802.7057683968[/C][C]285.671804053587[/C][/ROW]
[ROW][C]0.07[/C][C]13931.4124791568[/C][C]276.70346673491[/C][/ROW]
[ROW][C]0.08[/C][C]14042.5062575304[/C][C]281.304793877963[/C][/ROW]
[ROW][C]0.09[/C][C]14145.1969786438[/C][C]285.635231905586[/C][/ROW]
[ROW][C]0.1[/C][C]14242.8922518195[/C][C]286.894631952231[/C][/ROW]
[ROW][C]0.11[/C][C]14336.4445416887[/C][C]286.269841845789[/C][/ROW]
[ROW][C]0.12[/C][C]14426.059372654[/C][C]285.173512755533[/C][/ROW]
[ROW][C]0.13[/C][C]14511.972997916[/C][C]284.095381906115[/C][/ROW]
[ROW][C]0.14[/C][C]14594.5305495634[/C][C]282.998790702435[/C][/ROW]
[ROW][C]0.15[/C][C]14674.123962253[/C][C]281.926653055236[/C][/ROW]
[ROW][C]0.16[/C][C]14751.1686770629[/C][C]281.292476296023[/C][/ROW]
[ROW][C]0.17[/C][C]14826.1234849495[/C][C]281.828661702968[/C][/ROW]
[ROW][C]0.18[/C][C]14899.5025245904[/C][C]284.197035513415[/C][/ROW]
[ROW][C]0.19[/C][C]14971.8429048186[/C][C]288.61419964894[/C][/ROW]
[ROW][C]0.2[/C][C]15043.6269354562[/C][C]294.660795099366[/C][/ROW]
[ROW][C]0.21[/C][C]15115.1854422877[/C][C]301.305052105076[/C][/ROW]
[ROW][C]0.22[/C][C]15186.6177891049[/C][C]307.14638005215[/C][/ROW]
[ROW][C]0.23[/C][C]15257.7567026704[/C][C]310.735866058577[/C][/ROW]
[ROW][C]0.24[/C][C]15328.1889789912[/C][C]311.029051336223[/C][/ROW]
[ROW][C]0.25[/C][C]15397.3248286454[/C][C]307.444935902829[/C][/ROW]
[ROW][C]0.26[/C][C]15464.4954477332[/C][C]299.963778306428[/C][/ROW]
[ROW][C]0.27[/C][C]15529.0536758835[/C][C]289.071279151744[/C][/ROW]
[ROW][C]0.28[/C][C]15590.4561790339[/C][C]275.582580537603[/C][/ROW]
[ROW][C]0.29[/C][C]15648.3146476532[/C][C]260.40679872979[/C][/ROW]
[ROW][C]0.3[/C][C]15702.4140159533[/C][C]244.401936473712[/C][/ROW]
[ROW][C]0.31[/C][C]15752.7041096849[/C][C]228.326658125781[/C][/ROW]
[ROW][C]0.32[/C][C]15799.275430984[/C][C]212.756804725032[/C][/ROW]
[ROW][C]0.33[/C][C]15842.3298947733[/C][C]198.091787631179[/C][/ROW]
[ROW][C]0.34[/C][C]15882.1545669131[/C][C]184.708844126409[/C][/ROW]
[ROW][C]0.35[/C][C]15919.1026720297[/C][C]172.873849424228[/C][/ROW]
[ROW][C]0.36[/C][C]15953.5828724657[/C][C]162.900018124921[/C][/ROW]
[ROW][C]0.37[/C][C]15986.0558067271[/C][C]155.12162637777[/C][/ROW]
[ROW][C]0.38[/C][C]16017.0360384114[/C][C]149.871543487497[/C][/ROW]
[ROW][C]0.39[/C][C]16047.0973327262[/C][C]147.57178214573[/C][/ROW]
[ROW][C]0.4[/C][C]16076.8789224032[/C][C]148.630972227077[/C][/ROW]
[ROW][C]0.41[/C][C]16107.0898249901[/C][C]153.58921026012[/C][/ROW]
[ROW][C]0.42[/C][C]16138.5074531253[/C][C]162.850701553309[/C][/ROW]
[ROW][C]0.43[/C][C]16171.9662073886[/C][C]176.791949695914[/C][/ROW]
[ROW][C]0.44[/C][C]16208.3320689179[/C][C]195.545018929799[/C][/ROW]
[ROW][C]0.45[/C][C]16248.4608571061[/C][C]218.920587706095[/C][/ROW]
[ROW][C]0.46[/C][C]16293.1408259459[/C][C]246.344457914968[/C][/ROW]
[ROW][C]0.47[/C][C]16343.0241886707[/C][C]276.786803654913[/C][/ROW]
[ROW][C]0.48[/C][C]16398.5561171199[/C][C]308.880163684742[/C][/ROW]
[ROW][C]0.49[/C][C]16459.9126958347[/C][C]340.882293570393[/C][/ROW]
[ROW][C]0.5[/C][C]16526.9602527065[/C][C]371.013544524571[/C][/ROW]
[ROW][C]0.51[/C][C]16599.2468458799[/C][C]397.461570204814[/C][/ROW]
[ROW][C]0.52[/C][C]16676.0324371022[/C][C]418.773276372315[/C][/ROW]
[ROW][C]0.53[/C][C]16756.3580232467[/C][C]433.90391153962[/C][/ROW]
[ROW][C]0.54[/C][C]16839.1468527052[/C][C]442.513953218165[/C][/ROW]
[ROW][C]0.55[/C][C]16923.3242448361[/C][C]444.9505478473[/C][/ROW]
[ROW][C]0.56[/C][C]17007.9378880749[/C][C]442.235183286611[/C][/ROW]
[ROW][C]0.57[/C][C]17092.2589511443[/C][C]435.967914112027[/C][/ROW]
[ROW][C]0.58[/C][C]17175.8464972944[/C][C]427.98325545338[/C][/ROW]
[ROW][C]0.59[/C][C]17258.5634477135[/C][C]420.189988830042[/C][/ROW]
[ROW][C]0.6[/C][C]17340.5408742692[/C][C]414.053073257918[/C][/ROW]
[ROW][C]0.61[/C][C]17422.0972478656[/C][C]410.59111190831[/C][/ROW]
[ROW][C]0.62[/C][C]17503.6285201911[/C][C]409.877291820226[/C][/ROW]
[ROW][C]0.63[/C][C]17585.4915396054[/C][C]411.247212011632[/C][/ROW]
[ROW][C]0.64[/C][C]17667.9055426048[/C][C]413.439734818213[/C][/ROW]
[ROW][C]0.65[/C][C]17750.8932983128[/C][C]415.000549049385[/C][/ROW]
[ROW][C]0.66[/C][C]17834.275024049[/C][C]414.622820529253[/C][/ROW]
[ROW][C]0.67[/C][C]17917.7158918968[/C][C]411.426781429303[/C][/ROW]
[ROW][C]0.68[/C][C]18000.8145084167[/C][C]405.244916486997[/C][/ROW]
[ROW][C]0.69[/C][C]18083.2086097293[/C][C]396.614521384055[/C][/ROW]
[ROW][C]0.7[/C][C]18164.6686851139[/C][C]386.665378376168[/C][/ROW]
[ROW][C]0.71[/C][C]18245.1524806973[/C][C]376.77347799692[/C][/ROW]
[ROW][C]0.72[/C][C]18324.8034567997[/C][C]368.195214054164[/C][/ROW]
[ROW][C]0.73[/C][C]18403.8919745648[/C][C]361.617340267326[/C][/ROW]
[ROW][C]0.74[/C][C]18482.7149379237[/C][C]356.969673560958[/C][/ROW]
[ROW][C]0.75[/C][C]18561.4826469088[/C][C]353.454349069919[/C][/ROW]
[ROW][C]0.76[/C][C]18640.2264151102[/C][C]349.751421342782[/C][/ROW]
[ROW][C]0.77[/C][C]18718.7552134848[/C][C]344.438775490019[/C][/ROW]
[ROW][C]0.78[/C][C]18796.6756518459[/C][C]336.446767299433[/C][/ROW]
[ROW][C]0.79[/C][C]18873.4712984966[/C][C]325.386194335045[/C][/ROW]
[ROW][C]0.8[/C][C]18948.6203058847[/C][C]311.484261834049[/C][/ROW]
[ROW][C]0.81[/C][C]19021.7195928764[/C][C]295.654135781602[/C][/ROW]
[ROW][C]0.82[/C][C]19092.5825098764[/C][C]279.17975270095[/C][/ROW]
[ROW][C]0.83[/C][C]19161.2858774333[/C][C]263.420854039297[/C][/ROW]
[ROW][C]0.84[/C][C]19228.1607237753[/C][C]249.481256432272[/C][/ROW]
[ROW][C]0.85[/C][C]19293.7462878411[/C][C]237.996536338071[/C][/ROW]
[ROW][C]0.86[/C][C]19358.7526753198[/C][C]229.083761297413[/C][/ROW]
[ROW][C]0.87[/C][C]19424.091716704[/C][C]222.633092031395[/C][/ROW]
[ROW][C]0.88[/C][C]19491.0199153008[/C][C]218.989591033722[/C][/ROW]
[ROW][C]0.89[/C][C]19561.3746293688[/C][C]219.606718803778[/C][/ROW]
[ROW][C]0.9[/C][C]19637.7738236638[/C][C]227.159280181944[/C][/ROW]
[ROW][C]0.91[/C][C]19723.5260736805[/C][C]244.166292315795[/C][/ROW]
[ROW][C]0.92[/C][C]19821.9452832135[/C][C]270.157832797197[/C][/ROW]
[ROW][C]0.93[/C][C]19934.9040647573[/C][C]298.91980186855[/C][/ROW]
[ROW][C]0.94[/C][C]20060.8864808415[/C][C]318.337643126055[/C][/ROW]
[ROW][C]0.95[/C][C]20193.4633495081[/C][C]313.776713580972[/C][/ROW]
[ROW][C]0.96[/C][C]20321.6424236865[/C][C]275.176299295074[/C][/ROW]
[ROW][C]0.97[/C][C]20433.1292388423[/C][C]205.648947416009[/C][/ROW]
[ROW][C]0.98[/C][C]20519.2472326642[/C][C]126.165033328402[/C][/ROW]
[ROW][C]0.99[/C][C]20576.9852613522[/C][C]70.5249242786919[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=121838&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=121838&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
0.0112496.6172862056404.978226525871
0.0212791.9871196902587.423319282307
0.0313125.5533911689570.631584161647
0.0413416.8313863738446.981821876824
0.0513638.7362762173336.734631893034
0.0613802.7057683968285.671804053587
0.0713931.4124791568276.70346673491
0.0814042.5062575304281.304793877963
0.0914145.1969786438285.635231905586
0.114242.8922518195286.894631952231
0.1114336.4445416887286.269841845789
0.1214426.059372654285.173512755533
0.1314511.972997916284.095381906115
0.1414594.5305495634282.998790702435
0.1514674.123962253281.926653055236
0.1614751.1686770629281.292476296023
0.1714826.1234849495281.828661702968
0.1814899.5025245904284.197035513415
0.1914971.8429048186288.61419964894
0.215043.6269354562294.660795099366
0.2115115.1854422877301.305052105076
0.2215186.6177891049307.14638005215
0.2315257.7567026704310.735866058577
0.2415328.1889789912311.029051336223
0.2515397.3248286454307.444935902829
0.2615464.4954477332299.963778306428
0.2715529.0536758835289.071279151744
0.2815590.4561790339275.582580537603
0.2915648.3146476532260.40679872979
0.315702.4140159533244.401936473712
0.3115752.7041096849228.326658125781
0.3215799.275430984212.756804725032
0.3315842.3298947733198.091787631179
0.3415882.1545669131184.708844126409
0.3515919.1026720297172.873849424228
0.3615953.5828724657162.900018124921
0.3715986.0558067271155.12162637777
0.3816017.0360384114149.871543487497
0.3916047.0973327262147.57178214573
0.416076.8789224032148.630972227077
0.4116107.0898249901153.58921026012
0.4216138.5074531253162.850701553309
0.4316171.9662073886176.791949695914
0.4416208.3320689179195.545018929799
0.4516248.4608571061218.920587706095
0.4616293.1408259459246.344457914968
0.4716343.0241886707276.786803654913
0.4816398.5561171199308.880163684742
0.4916459.9126958347340.882293570393
0.516526.9602527065371.013544524571
0.5116599.2468458799397.461570204814
0.5216676.0324371022418.773276372315
0.5316756.3580232467433.90391153962
0.5416839.1468527052442.513953218165
0.5516923.3242448361444.9505478473
0.5617007.9378880749442.235183286611
0.5717092.2589511443435.967914112027
0.5817175.8464972944427.98325545338
0.5917258.5634477135420.189988830042
0.617340.5408742692414.053073257918
0.6117422.0972478656410.59111190831
0.6217503.6285201911409.877291820226
0.6317585.4915396054411.247212011632
0.6417667.9055426048413.439734818213
0.6517750.8932983128415.000549049385
0.6617834.275024049414.622820529253
0.6717917.7158918968411.426781429303
0.6818000.8145084167405.244916486997
0.6918083.2086097293396.614521384055
0.718164.6686851139386.665378376168
0.7118245.1524806973376.77347799692
0.7218324.8034567997368.195214054164
0.7318403.8919745648361.617340267326
0.7418482.7149379237356.969673560958
0.7518561.4826469088353.454349069919
0.7618640.2264151102349.751421342782
0.7718718.7552134848344.438775490019
0.7818796.6756518459336.446767299433
0.7918873.4712984966325.386194335045
0.818948.6203058847311.484261834049
0.8119021.7195928764295.654135781602
0.8219092.5825098764279.17975270095
0.8319161.2858774333263.420854039297
0.8419228.1607237753249.481256432272
0.8519293.7462878411237.996536338071
0.8619358.7526753198229.083761297413
0.8719424.091716704222.633092031395
0.8819491.0199153008218.989591033722
0.8919561.3746293688219.606718803778
0.919637.7738236638227.159280181944
0.9119723.5260736805244.166292315795
0.9219821.9452832135270.157832797197
0.9319934.9040647573298.91980186855
0.9420060.8864808415318.337643126055
0.9520193.4633495081313.776713580972
0.9620321.6424236865275.176299295074
0.9720433.1292388423205.648947416009
0.9820519.2472326642126.165033328402
0.9920576.985261352270.5249242786919


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')