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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 15:09:28 +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/t1475676851l3jh2ap7pfk01ib.htm/, Retrieved Sun, 05 May 2024 17:25:45 +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 17:25:45 +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 
54854
53982
52301
51652
50338
51959
57648
57803
52599
51123
49604
51154
51765
50491
49332
48690
47496
48107
53970
54300
50246
48519
47602
49723
52010
50976
49795
49104
48354
49390
55323
56287
52831
51881
51382
53000
54365
53815
53107
53031
52419
53378
59398
60706
58531
57244
56843
58299
60654
59579
58823
57813
56487
57644
62444
62890
59758
58716
57485
57888
59676
58365
57337
56520
55189
56229
60766
61393
57919
56772
55820
56953

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'Gwilym Jenkins' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0147570.7084219441205.416326083651
0.0247715.782895219329.057519628276
0.0347903.7024163427397.285950839522
0.0448104.5295319805416.346814890753
0.0548299.904581779420.805816940372
0.0648483.7635485423430.785866425105
0.0748656.9355933032446.315543369454
0.0848821.9121489132460.274152574298
0.0948980.3511814964468.250031839657
0.149132.9155563958471.157721186856
0.1149280.0542176404473.323431853647
0.1249422.6659370408479.556176443563
0.1349562.2544121924492.95845399181
0.1449700.6561209457513.681267959463
0.1549839.597227957539.491599970932
0.1649980.3076672321567.112517732022
0.1750123.3127153818593.139615637342
0.1850268.4190245902614.73726355083
0.1950414.8486031271630.097169685704
0.250561.4521515833638.374194816352
0.2150706.938991963639.668021389591
0.2250850.0794024775634.906715548738
0.2350989.8556704374625.419452643526
0.2451125.5549431235612.835049018068
0.2551256.8081155421598.85904016874
0.2651383.5848215938585.114472152269
0.2751506.1563812489573.009150148184
0.2851625.0379166475563.662316676887
0.2951740.9192685994557.782950193987
0.351854.5928349843555.8958924381
0.3151966.8853775719557.881235115595
0.3252078.59997705563.496847142513
0.3352190.4731325339572.342396228873
0.3452303.1500748216583.744036243531
0.3552417.1786742106597.123323018233
0.3652533.0193399326612.225243575199
0.3752651.0657925089628.797371821601
0.3852771.670257636646.788653454308
0.3952895.1668187656666.28507035673
0.453021.8881818343687.482433447728
0.4153152.1733098671710.444437509882
0.4253286.3654699588735.159970968058
0.4353424.8015660938761.498749286685
0.4453567.7939993612789.302306816969
0.4553715.6059771257818.296310351608
0.4653868.4207900446847.907444359867
0.4754026.3057327756877.53963749992
0.4854189.1724313793906.176273180689
0.4954356.7372602259932.723535887828
0.554528.4877114241955.687807050718
0.5154703.662158581973.480742265085
0.5254881.2505887661984.729613038848
0.5355060.0220488186988.057365966168
0.5455238.5807990787982.579376029836
0.5555415.4481158389968.024176326303
0.5655589.1614139299944.753389475132
0.5755758.3781319934913.75452391268
0.5855921.9697416583876.583434304689
0.5956079.0919678971835.162519913687
0.656229.2208738605791.562136338521
0.6156372.1502505578747.821819795596
0.6256507.9526231251705.487763665721
0.6356636.9127411078665.66296325915
0.6456759.4473078255628.935873013179
0.6556876.0269115928595.311117721777
0.6656987.1151870864564.34936292913
0.6757093.1363312408535.509333076853
0.6857194.4759871623508.325580763921
0.6957291.5133909944482.651245818522
0.757384.6759664689458.605462767743
0.7157474.5026337556436.949257094616
0.7257561.7000718725418.589992703089
0.7357647.1776074732404.854352750796
0.7457732.0511265182396.888937113549
0.7557817.6133848271395.466548726228
0.7657905.2755073187400.849665604132
0.7757996.4901073413412.771183621729
0.7858092.6685110036430.225498369966
0.7958195.1025923048452.138733242831
0.858304.897344889477.155197135401
0.8158422.9169638779503.894308314737
0.8258549.7482955661530.834648997171
0.8358685.6913433565556.48541696048
0.8458830.791686273579.311370297048
0.8558984.9239676231598.167131534509
0.8659147.9113122965612.655133461911
0.8759319.6301126791623.432683792229
0.8859500.0358602196631.550287734466
0.8959689.1037093522637.398721742143
0.959886.834675925639.750317590517
0.9160093.6727711805636.104371843736
0.9260311.7084169962626.643299362313
0.9360546.6166880397619.700678971591
0.9460809.2393878376633.880443065706
0.9561114.4319225923686.294534210001
0.9661474.3860196348764.815704032678
0.9761885.4891142546811.422036981823
0.9862312.2584279713750.432212429944
0.9962678.8107628169578.439554313296

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 47570.7084219441 & 205.416326083651 \tabularnewline
0.02 & 47715.782895219 & 329.057519628276 \tabularnewline
0.03 & 47903.7024163427 & 397.285950839522 \tabularnewline
0.04 & 48104.5295319805 & 416.346814890753 \tabularnewline
0.05 & 48299.904581779 & 420.805816940372 \tabularnewline
0.06 & 48483.7635485423 & 430.785866425105 \tabularnewline
0.07 & 48656.9355933032 & 446.315543369454 \tabularnewline
0.08 & 48821.9121489132 & 460.274152574298 \tabularnewline
0.09 & 48980.3511814964 & 468.250031839657 \tabularnewline
0.1 & 49132.9155563958 & 471.157721186856 \tabularnewline
0.11 & 49280.0542176404 & 473.323431853647 \tabularnewline
0.12 & 49422.6659370408 & 479.556176443563 \tabularnewline
0.13 & 49562.2544121924 & 492.95845399181 \tabularnewline
0.14 & 49700.6561209457 & 513.681267959463 \tabularnewline
0.15 & 49839.597227957 & 539.491599970932 \tabularnewline
0.16 & 49980.3076672321 & 567.112517732022 \tabularnewline
0.17 & 50123.3127153818 & 593.139615637342 \tabularnewline
0.18 & 50268.4190245902 & 614.73726355083 \tabularnewline
0.19 & 50414.8486031271 & 630.097169685704 \tabularnewline
0.2 & 50561.4521515833 & 638.374194816352 \tabularnewline
0.21 & 50706.938991963 & 639.668021389591 \tabularnewline
0.22 & 50850.0794024775 & 634.906715548738 \tabularnewline
0.23 & 50989.8556704374 & 625.419452643526 \tabularnewline
0.24 & 51125.5549431235 & 612.835049018068 \tabularnewline
0.25 & 51256.8081155421 & 598.85904016874 \tabularnewline
0.26 & 51383.5848215938 & 585.114472152269 \tabularnewline
0.27 & 51506.1563812489 & 573.009150148184 \tabularnewline
0.28 & 51625.0379166475 & 563.662316676887 \tabularnewline
0.29 & 51740.9192685994 & 557.782950193987 \tabularnewline
0.3 & 51854.5928349843 & 555.8958924381 \tabularnewline
0.31 & 51966.8853775719 & 557.881235115595 \tabularnewline
0.32 & 52078.59997705 & 563.496847142513 \tabularnewline
0.33 & 52190.4731325339 & 572.342396228873 \tabularnewline
0.34 & 52303.1500748216 & 583.744036243531 \tabularnewline
0.35 & 52417.1786742106 & 597.123323018233 \tabularnewline
0.36 & 52533.0193399326 & 612.225243575199 \tabularnewline
0.37 & 52651.0657925089 & 628.797371821601 \tabularnewline
0.38 & 52771.670257636 & 646.788653454308 \tabularnewline
0.39 & 52895.1668187656 & 666.28507035673 \tabularnewline
0.4 & 53021.8881818343 & 687.482433447728 \tabularnewline
0.41 & 53152.1733098671 & 710.444437509882 \tabularnewline
0.42 & 53286.3654699588 & 735.159970968058 \tabularnewline
0.43 & 53424.8015660938 & 761.498749286685 \tabularnewline
0.44 & 53567.7939993612 & 789.302306816969 \tabularnewline
0.45 & 53715.6059771257 & 818.296310351608 \tabularnewline
0.46 & 53868.4207900446 & 847.907444359867 \tabularnewline
0.47 & 54026.3057327756 & 877.53963749992 \tabularnewline
0.48 & 54189.1724313793 & 906.176273180689 \tabularnewline
0.49 & 54356.7372602259 & 932.723535887828 \tabularnewline
0.5 & 54528.4877114241 & 955.687807050718 \tabularnewline
0.51 & 54703.662158581 & 973.480742265085 \tabularnewline
0.52 & 54881.2505887661 & 984.729613038848 \tabularnewline
0.53 & 55060.0220488186 & 988.057365966168 \tabularnewline
0.54 & 55238.5807990787 & 982.579376029836 \tabularnewline
0.55 & 55415.4481158389 & 968.024176326303 \tabularnewline
0.56 & 55589.1614139299 & 944.753389475132 \tabularnewline
0.57 & 55758.3781319934 & 913.75452391268 \tabularnewline
0.58 & 55921.9697416583 & 876.583434304689 \tabularnewline
0.59 & 56079.0919678971 & 835.162519913687 \tabularnewline
0.6 & 56229.2208738605 & 791.562136338521 \tabularnewline
0.61 & 56372.1502505578 & 747.821819795596 \tabularnewline
0.62 & 56507.9526231251 & 705.487763665721 \tabularnewline
0.63 & 56636.9127411078 & 665.66296325915 \tabularnewline
0.64 & 56759.4473078255 & 628.935873013179 \tabularnewline
0.65 & 56876.0269115928 & 595.311117721777 \tabularnewline
0.66 & 56987.1151870864 & 564.34936292913 \tabularnewline
0.67 & 57093.1363312408 & 535.509333076853 \tabularnewline
0.68 & 57194.4759871623 & 508.325580763921 \tabularnewline
0.69 & 57291.5133909944 & 482.651245818522 \tabularnewline
0.7 & 57384.6759664689 & 458.605462767743 \tabularnewline
0.71 & 57474.5026337556 & 436.949257094616 \tabularnewline
0.72 & 57561.7000718725 & 418.589992703089 \tabularnewline
0.73 & 57647.1776074732 & 404.854352750796 \tabularnewline
0.74 & 57732.0511265182 & 396.888937113549 \tabularnewline
0.75 & 57817.6133848271 & 395.466548726228 \tabularnewline
0.76 & 57905.2755073187 & 400.849665604132 \tabularnewline
0.77 & 57996.4901073413 & 412.771183621729 \tabularnewline
0.78 & 58092.6685110036 & 430.225498369966 \tabularnewline
0.79 & 58195.1025923048 & 452.138733242831 \tabularnewline
0.8 & 58304.897344889 & 477.155197135401 \tabularnewline
0.81 & 58422.9169638779 & 503.894308314737 \tabularnewline
0.82 & 58549.7482955661 & 530.834648997171 \tabularnewline
0.83 & 58685.6913433565 & 556.48541696048 \tabularnewline
0.84 & 58830.791686273 & 579.311370297048 \tabularnewline
0.85 & 58984.9239676231 & 598.167131534509 \tabularnewline
0.86 & 59147.9113122965 & 612.655133461911 \tabularnewline
0.87 & 59319.6301126791 & 623.432683792229 \tabularnewline
0.88 & 59500.0358602196 & 631.550287734466 \tabularnewline
0.89 & 59689.1037093522 & 637.398721742143 \tabularnewline
0.9 & 59886.834675925 & 639.750317590517 \tabularnewline
0.91 & 60093.6727711805 & 636.104371843736 \tabularnewline
0.92 & 60311.7084169962 & 626.643299362313 \tabularnewline
0.93 & 60546.6166880397 & 619.700678971591 \tabularnewline
0.94 & 60809.2393878376 & 633.880443065706 \tabularnewline
0.95 & 61114.4319225923 & 686.294534210001 \tabularnewline
0.96 & 61474.3860196348 & 764.815704032678 \tabularnewline
0.97 & 61885.4891142546 & 811.422036981823 \tabularnewline
0.98 & 62312.2584279713 & 750.432212429944 \tabularnewline
0.99 & 62678.8107628169 & 578.439554313296 \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]47570.7084219441[/C][C]205.416326083651[/C][/ROW]
[ROW][C]0.02[/C][C]47715.782895219[/C][C]329.057519628276[/C][/ROW]
[ROW][C]0.03[/C][C]47903.7024163427[/C][C]397.285950839522[/C][/ROW]
[ROW][C]0.04[/C][C]48104.5295319805[/C][C]416.346814890753[/C][/ROW]
[ROW][C]0.05[/C][C]48299.904581779[/C][C]420.805816940372[/C][/ROW]
[ROW][C]0.06[/C][C]48483.7635485423[/C][C]430.785866425105[/C][/ROW]
[ROW][C]0.07[/C][C]48656.9355933032[/C][C]446.315543369454[/C][/ROW]
[ROW][C]0.08[/C][C]48821.9121489132[/C][C]460.274152574298[/C][/ROW]
[ROW][C]0.09[/C][C]48980.3511814964[/C][C]468.250031839657[/C][/ROW]
[ROW][C]0.1[/C][C]49132.9155563958[/C][C]471.157721186856[/C][/ROW]
[ROW][C]0.11[/C][C]49280.0542176404[/C][C]473.323431853647[/C][/ROW]
[ROW][C]0.12[/C][C]49422.6659370408[/C][C]479.556176443563[/C][/ROW]
[ROW][C]0.13[/C][C]49562.2544121924[/C][C]492.95845399181[/C][/ROW]
[ROW][C]0.14[/C][C]49700.6561209457[/C][C]513.681267959463[/C][/ROW]
[ROW][C]0.15[/C][C]49839.597227957[/C][C]539.491599970932[/C][/ROW]
[ROW][C]0.16[/C][C]49980.3076672321[/C][C]567.112517732022[/C][/ROW]
[ROW][C]0.17[/C][C]50123.3127153818[/C][C]593.139615637342[/C][/ROW]
[ROW][C]0.18[/C][C]50268.4190245902[/C][C]614.73726355083[/C][/ROW]
[ROW][C]0.19[/C][C]50414.8486031271[/C][C]630.097169685704[/C][/ROW]
[ROW][C]0.2[/C][C]50561.4521515833[/C][C]638.374194816352[/C][/ROW]
[ROW][C]0.21[/C][C]50706.938991963[/C][C]639.668021389591[/C][/ROW]
[ROW][C]0.22[/C][C]50850.0794024775[/C][C]634.906715548738[/C][/ROW]
[ROW][C]0.23[/C][C]50989.8556704374[/C][C]625.419452643526[/C][/ROW]
[ROW][C]0.24[/C][C]51125.5549431235[/C][C]612.835049018068[/C][/ROW]
[ROW][C]0.25[/C][C]51256.8081155421[/C][C]598.85904016874[/C][/ROW]
[ROW][C]0.26[/C][C]51383.5848215938[/C][C]585.114472152269[/C][/ROW]
[ROW][C]0.27[/C][C]51506.1563812489[/C][C]573.009150148184[/C][/ROW]
[ROW][C]0.28[/C][C]51625.0379166475[/C][C]563.662316676887[/C][/ROW]
[ROW][C]0.29[/C][C]51740.9192685994[/C][C]557.782950193987[/C][/ROW]
[ROW][C]0.3[/C][C]51854.5928349843[/C][C]555.8958924381[/C][/ROW]
[ROW][C]0.31[/C][C]51966.8853775719[/C][C]557.881235115595[/C][/ROW]
[ROW][C]0.32[/C][C]52078.59997705[/C][C]563.496847142513[/C][/ROW]
[ROW][C]0.33[/C][C]52190.4731325339[/C][C]572.342396228873[/C][/ROW]
[ROW][C]0.34[/C][C]52303.1500748216[/C][C]583.744036243531[/C][/ROW]
[ROW][C]0.35[/C][C]52417.1786742106[/C][C]597.123323018233[/C][/ROW]
[ROW][C]0.36[/C][C]52533.0193399326[/C][C]612.225243575199[/C][/ROW]
[ROW][C]0.37[/C][C]52651.0657925089[/C][C]628.797371821601[/C][/ROW]
[ROW][C]0.38[/C][C]52771.670257636[/C][C]646.788653454308[/C][/ROW]
[ROW][C]0.39[/C][C]52895.1668187656[/C][C]666.28507035673[/C][/ROW]
[ROW][C]0.4[/C][C]53021.8881818343[/C][C]687.482433447728[/C][/ROW]
[ROW][C]0.41[/C][C]53152.1733098671[/C][C]710.444437509882[/C][/ROW]
[ROW][C]0.42[/C][C]53286.3654699588[/C][C]735.159970968058[/C][/ROW]
[ROW][C]0.43[/C][C]53424.8015660938[/C][C]761.498749286685[/C][/ROW]
[ROW][C]0.44[/C][C]53567.7939993612[/C][C]789.302306816969[/C][/ROW]
[ROW][C]0.45[/C][C]53715.6059771257[/C][C]818.296310351608[/C][/ROW]
[ROW][C]0.46[/C][C]53868.4207900446[/C][C]847.907444359867[/C][/ROW]
[ROW][C]0.47[/C][C]54026.3057327756[/C][C]877.53963749992[/C][/ROW]
[ROW][C]0.48[/C][C]54189.1724313793[/C][C]906.176273180689[/C][/ROW]
[ROW][C]0.49[/C][C]54356.7372602259[/C][C]932.723535887828[/C][/ROW]
[ROW][C]0.5[/C][C]54528.4877114241[/C][C]955.687807050718[/C][/ROW]
[ROW][C]0.51[/C][C]54703.662158581[/C][C]973.480742265085[/C][/ROW]
[ROW][C]0.52[/C][C]54881.2505887661[/C][C]984.729613038848[/C][/ROW]
[ROW][C]0.53[/C][C]55060.0220488186[/C][C]988.057365966168[/C][/ROW]
[ROW][C]0.54[/C][C]55238.5807990787[/C][C]982.579376029836[/C][/ROW]
[ROW][C]0.55[/C][C]55415.4481158389[/C][C]968.024176326303[/C][/ROW]
[ROW][C]0.56[/C][C]55589.1614139299[/C][C]944.753389475132[/C][/ROW]
[ROW][C]0.57[/C][C]55758.3781319934[/C][C]913.75452391268[/C][/ROW]
[ROW][C]0.58[/C][C]55921.9697416583[/C][C]876.583434304689[/C][/ROW]
[ROW][C]0.59[/C][C]56079.0919678971[/C][C]835.162519913687[/C][/ROW]
[ROW][C]0.6[/C][C]56229.2208738605[/C][C]791.562136338521[/C][/ROW]
[ROW][C]0.61[/C][C]56372.1502505578[/C][C]747.821819795596[/C][/ROW]
[ROW][C]0.62[/C][C]56507.9526231251[/C][C]705.487763665721[/C][/ROW]
[ROW][C]0.63[/C][C]56636.9127411078[/C][C]665.66296325915[/C][/ROW]
[ROW][C]0.64[/C][C]56759.4473078255[/C][C]628.935873013179[/C][/ROW]
[ROW][C]0.65[/C][C]56876.0269115928[/C][C]595.311117721777[/C][/ROW]
[ROW][C]0.66[/C][C]56987.1151870864[/C][C]564.34936292913[/C][/ROW]
[ROW][C]0.67[/C][C]57093.1363312408[/C][C]535.509333076853[/C][/ROW]
[ROW][C]0.68[/C][C]57194.4759871623[/C][C]508.325580763921[/C][/ROW]
[ROW][C]0.69[/C][C]57291.5133909944[/C][C]482.651245818522[/C][/ROW]
[ROW][C]0.7[/C][C]57384.6759664689[/C][C]458.605462767743[/C][/ROW]
[ROW][C]0.71[/C][C]57474.5026337556[/C][C]436.949257094616[/C][/ROW]
[ROW][C]0.72[/C][C]57561.7000718725[/C][C]418.589992703089[/C][/ROW]
[ROW][C]0.73[/C][C]57647.1776074732[/C][C]404.854352750796[/C][/ROW]
[ROW][C]0.74[/C][C]57732.0511265182[/C][C]396.888937113549[/C][/ROW]
[ROW][C]0.75[/C][C]57817.6133848271[/C][C]395.466548726228[/C][/ROW]
[ROW][C]0.76[/C][C]57905.2755073187[/C][C]400.849665604132[/C][/ROW]
[ROW][C]0.77[/C][C]57996.4901073413[/C][C]412.771183621729[/C][/ROW]
[ROW][C]0.78[/C][C]58092.6685110036[/C][C]430.225498369966[/C][/ROW]
[ROW][C]0.79[/C][C]58195.1025923048[/C][C]452.138733242831[/C][/ROW]
[ROW][C]0.8[/C][C]58304.897344889[/C][C]477.155197135401[/C][/ROW]
[ROW][C]0.81[/C][C]58422.9169638779[/C][C]503.894308314737[/C][/ROW]
[ROW][C]0.82[/C][C]58549.7482955661[/C][C]530.834648997171[/C][/ROW]
[ROW][C]0.83[/C][C]58685.6913433565[/C][C]556.48541696048[/C][/ROW]
[ROW][C]0.84[/C][C]58830.791686273[/C][C]579.311370297048[/C][/ROW]
[ROW][C]0.85[/C][C]58984.9239676231[/C][C]598.167131534509[/C][/ROW]
[ROW][C]0.86[/C][C]59147.9113122965[/C][C]612.655133461911[/C][/ROW]
[ROW][C]0.87[/C][C]59319.6301126791[/C][C]623.432683792229[/C][/ROW]
[ROW][C]0.88[/C][C]59500.0358602196[/C][C]631.550287734466[/C][/ROW]
[ROW][C]0.89[/C][C]59689.1037093522[/C][C]637.398721742143[/C][/ROW]
[ROW][C]0.9[/C][C]59886.834675925[/C][C]639.750317590517[/C][/ROW]
[ROW][C]0.91[/C][C]60093.6727711805[/C][C]636.104371843736[/C][/ROW]
[ROW][C]0.92[/C][C]60311.7084169962[/C][C]626.643299362313[/C][/ROW]
[ROW][C]0.93[/C][C]60546.6166880397[/C][C]619.700678971591[/C][/ROW]
[ROW][C]0.94[/C][C]60809.2393878376[/C][C]633.880443065706[/C][/ROW]
[ROW][C]0.95[/C][C]61114.4319225923[/C][C]686.294534210001[/C][/ROW]
[ROW][C]0.96[/C][C]61474.3860196348[/C][C]764.815704032678[/C][/ROW]
[ROW][C]0.97[/C][C]61885.4891142546[/C][C]811.422036981823[/C][/ROW]
[ROW][C]0.98[/C][C]62312.2584279713[/C][C]750.432212429944[/C][/ROW]
[ROW][C]0.99[/C][C]62678.8107628169[/C][C]578.439554313296[/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
0.0147570.7084219441205.416326083651
0.0247715.782895219329.057519628276
0.0347903.7024163427397.285950839522
0.0448104.5295319805416.346814890753
0.0548299.904581779420.805816940372
0.0648483.7635485423430.785866425105
0.0748656.9355933032446.315543369454
0.0848821.9121489132460.274152574298
0.0948980.3511814964468.250031839657
0.149132.9155563958471.157721186856
0.1149280.0542176404473.323431853647
0.1249422.6659370408479.556176443563
0.1349562.2544121924492.95845399181
0.1449700.6561209457513.681267959463
0.1549839.597227957539.491599970932
0.1649980.3076672321567.112517732022
0.1750123.3127153818593.139615637342
0.1850268.4190245902614.73726355083
0.1950414.8486031271630.097169685704
0.250561.4521515833638.374194816352
0.2150706.938991963639.668021389591
0.2250850.0794024775634.906715548738
0.2350989.8556704374625.419452643526
0.2451125.5549431235612.835049018068
0.2551256.8081155421598.85904016874
0.2651383.5848215938585.114472152269
0.2751506.1563812489573.009150148184
0.2851625.0379166475563.662316676887
0.2951740.9192685994557.782950193987
0.351854.5928349843555.8958924381
0.3151966.8853775719557.881235115595
0.3252078.59997705563.496847142513
0.3352190.4731325339572.342396228873
0.3452303.1500748216583.744036243531
0.3552417.1786742106597.123323018233
0.3652533.0193399326612.225243575199
0.3752651.0657925089628.797371821601
0.3852771.670257636646.788653454308
0.3952895.1668187656666.28507035673
0.453021.8881818343687.482433447728
0.4153152.1733098671710.444437509882
0.4253286.3654699588735.159970968058
0.4353424.8015660938761.498749286685
0.4453567.7939993612789.302306816969
0.4553715.6059771257818.296310351608
0.4653868.4207900446847.907444359867
0.4754026.3057327756877.53963749992
0.4854189.1724313793906.176273180689
0.4954356.7372602259932.723535887828
0.554528.4877114241955.687807050718
0.5154703.662158581973.480742265085
0.5254881.2505887661984.729613038848
0.5355060.0220488186988.057365966168
0.5455238.5807990787982.579376029836
0.5555415.4481158389968.024176326303
0.5655589.1614139299944.753389475132
0.5755758.3781319934913.75452391268
0.5855921.9697416583876.583434304689
0.5956079.0919678971835.162519913687
0.656229.2208738605791.562136338521
0.6156372.1502505578747.821819795596
0.6256507.9526231251705.487763665721
0.6356636.9127411078665.66296325915
0.6456759.4473078255628.935873013179
0.6556876.0269115928595.311117721777
0.6656987.1151870864564.34936292913
0.6757093.1363312408535.509333076853
0.6857194.4759871623508.325580763921
0.6957291.5133909944482.651245818522
0.757384.6759664689458.605462767743
0.7157474.5026337556436.949257094616
0.7257561.7000718725418.589992703089
0.7357647.1776074732404.854352750796
0.7457732.0511265182396.888937113549
0.7557817.6133848271395.466548726228
0.7657905.2755073187400.849665604132
0.7757996.4901073413412.771183621729
0.7858092.6685110036430.225498369966
0.7958195.1025923048452.138733242831
0.858304.897344889477.155197135401
0.8158422.9169638779503.894308314737
0.8258549.7482955661530.834648997171
0.8358685.6913433565556.48541696048
0.8458830.791686273579.311370297048
0.8558984.9239676231598.167131534509
0.8659147.9113122965612.655133461911
0.8759319.6301126791623.432683792229
0.8859500.0358602196631.550287734466
0.8959689.1037093522637.398721742143
0.959886.834675925639.750317590517
0.9160093.6727711805636.104371843736
0.9260311.7084169962626.643299362313
0.9360546.6166880397619.700678971591
0.9460809.2393878376633.880443065706
0.9561114.4319225923686.294534210001
0.9661474.3860196348764.815704032678
0.9761885.4891142546811.422036981823
0.9862312.2584279713750.432212429944
0.9962678.8107628169578.439554313296


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')