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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 08:24:32 +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/t14756523914m8g34pyk6ckhv0.htm/, Retrieved Sun, 05 May 2024 17:25:36 +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 17:25:36 +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 
75.8
75.7
112.3
110.9
99.6
107.5
90
88.8
129.7
120.4
93.3
96
81.1
78
111.9
117.6
101
98.3
91
86.8
108.8
110.1
93.8
100.6
75.7
69
116
94.5
105.1
95.3
79.7
76.1
111.1
106.3
89.5
96.8
67.8
62.5
90.1
93.6
94.2
93.2
81
73.7
97.7
97.5
82.7
88.8
68.5
61.1
89.6
87.6
90.8
84.3
75
78.4
83.5
93
79.3
83.9
65
60.3
80.6
86.5
78.7
80.7
70.6
67.2
88
89.1
69
84.1

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.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]'Herman Ole Andreas Wold' @ wold.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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0160.6940318416891.0791872077554
0.0261.44149665194811.65111825537543
0.0362.4326045944312.19217669857004
0.0463.54416093876942.49951441089942
0.0564.66792662730032.54883295788644
0.0665.72605064820992.4266702309161
0.0766.68132021034022.25932536137845
0.0867.53516035465342.15755567756776
0.0968.31464591877912.17910117321432
0.169.05577410175642.3165853822942
0.1169.78950748601652.51687617854442
0.1270.53376314834462.71532695381937
0.1371.29159230228192.85884123730314
0.1472.05405760295082.91692255878037
0.1572.80561313710012.88441820064751
0.1673.52983081095372.77688477390951
0.1774.21385349845682.62365132269254
0.1874.85075175618942.45711449924375
0.1975.43976199112842.30472926458501
0.275.98497066544062.18305354873187
0.2176.49326728965642.09652580651314
0.2276.97233334791762.04011547609439
0.2377.42917525271952.00501965520653
0.2477.86938910837341.98242497533263
0.2578.29707943692721.96665934414445
0.2678.7152027353221.95575112754967
0.2779.1260732605851.95087561938161
0.2879.53181948292941.95438651975427
0.2979.93466947835171.96901021519713
0.380.33703280751561.99676085499957
0.3180.74141133040532.03769008583735
0.3281.15020420248042.09056295430428
0.3381.56547687935892.15235824823396
0.3481.98875002122852.21934548181859
0.3582.4208424075662.28709904904117
0.3682.86178099572082.35121811444843
0.3783.31077638548752.407273315234
0.3883.7662549860112.45153721131741
0.3984.22593899239292.48052197837121
0.484.68696884080782.4912108982321
0.4185.14606648056052.4814919755034
0.4285.59973859118992.45057515844917
0.4386.04451538794712.39861103015408
0.4486.47721344247982.32782992234799
0.4586.89520214676822.24170713345047
0.4687.29664598305982.14544228964848
0.4787.68069130451832.04526766992879
0.4888.04756850402271.94790820914915
0.4988.3985884564961.86036595410522
0.588.73602484970241.78831781263768
0.5189.06288945570121.73619767135223
0.5289.38262312910871.70606787195788
0.5389.69873894505111.6973578203411
0.5490.01446325637661.70701576558885
0.5590.33242380303911.72981471934277
0.5690.65443016485561.75951675679632
0.5790.98138047593231.78983283554326
0.5891.31331026624161.81524181157373
0.5991.64957685811921.83194076838771
0.691.98914962291711.83831918216332
0.6192.33095720891.83522599291075
0.6292.6742321600541.82588510487135
0.6393.01879446999451.81472475949538
0.6493.36522946375541.80754853604984
0.6593.71493980612851.80947304684697
0.6694.07008125952261.8244918827833
0.6794.43341990419181.85511636470113
0.6894.80816735680891.90186120485824
0.6995.1978540847551.96461819846402
0.795.60628646660772.0427144696288
0.7196.03760236680142.13668658296783
0.7296.49639873076172.24787755043082
0.7396.98786280838952.37945489454333
0.7497.51780785144432.53476838868218
0.7598.09250596944452.71623299022279
0.7698.71823359839372.92346891177807
0.7799.40050089967853.15125270047798
0.78100.1430187301263.38858220398055
0.79100.9465490788743.61866268261159
0.8101.807862578093.82042417593055
0.81102.7190636247363.97111260485732
0.82103.6675217091344.05005003100124
0.83104.6365670577444.04194117430296
0.84105.6069928995293.94071590306698
0.85106.5592939992773.75054544059563
0.86107.4764931363723.48723626492912
0.87108.3473593188083.176701570425
0.88109.1697456323432.85491657879326
0.89109.9535835399832.56657546726237
0.9110.722742858332.36333578285395
0.91111.5147158157432.2944702042541
0.92112.3775319910462.38381556202413
0.93113.3654617363362.60535319986093
0.94114.5395542084042.8922943169031
0.95115.9834551849863.19125423232867
0.96117.8375150222373.55485022334714
0.97120.3090721472824.23820087536463
0.98123.5249749224655.59601335614483
0.99127.0910847183697.55184251658159

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 60.694031841689 & 1.0791872077554 \tabularnewline
0.02 & 61.4414966519481 & 1.65111825537543 \tabularnewline
0.03 & 62.432604594431 & 2.19217669857004 \tabularnewline
0.04 & 63.5441609387694 & 2.49951441089942 \tabularnewline
0.05 & 64.6679266273003 & 2.54883295788644 \tabularnewline
0.06 & 65.7260506482099 & 2.4266702309161 \tabularnewline
0.07 & 66.6813202103402 & 2.25932536137845 \tabularnewline
0.08 & 67.5351603546534 & 2.15755567756776 \tabularnewline
0.09 & 68.3146459187791 & 2.17910117321432 \tabularnewline
0.1 & 69.0557741017564 & 2.3165853822942 \tabularnewline
0.11 & 69.7895074860165 & 2.51687617854442 \tabularnewline
0.12 & 70.5337631483446 & 2.71532695381937 \tabularnewline
0.13 & 71.2915923022819 & 2.85884123730314 \tabularnewline
0.14 & 72.0540576029508 & 2.91692255878037 \tabularnewline
0.15 & 72.8056131371001 & 2.88441820064751 \tabularnewline
0.16 & 73.5298308109537 & 2.77688477390951 \tabularnewline
0.17 & 74.2138534984568 & 2.62365132269254 \tabularnewline
0.18 & 74.8507517561894 & 2.45711449924375 \tabularnewline
0.19 & 75.4397619911284 & 2.30472926458501 \tabularnewline
0.2 & 75.9849706654406 & 2.18305354873187 \tabularnewline
0.21 & 76.4932672896564 & 2.09652580651314 \tabularnewline
0.22 & 76.9723333479176 & 2.04011547609439 \tabularnewline
0.23 & 77.4291752527195 & 2.00501965520653 \tabularnewline
0.24 & 77.8693891083734 & 1.98242497533263 \tabularnewline
0.25 & 78.2970794369272 & 1.96665934414445 \tabularnewline
0.26 & 78.715202735322 & 1.95575112754967 \tabularnewline
0.27 & 79.126073260585 & 1.95087561938161 \tabularnewline
0.28 & 79.5318194829294 & 1.95438651975427 \tabularnewline
0.29 & 79.9346694783517 & 1.96901021519713 \tabularnewline
0.3 & 80.3370328075156 & 1.99676085499957 \tabularnewline
0.31 & 80.7414113304053 & 2.03769008583735 \tabularnewline
0.32 & 81.1502042024804 & 2.09056295430428 \tabularnewline
0.33 & 81.5654768793589 & 2.15235824823396 \tabularnewline
0.34 & 81.9887500212285 & 2.21934548181859 \tabularnewline
0.35 & 82.420842407566 & 2.28709904904117 \tabularnewline
0.36 & 82.8617809957208 & 2.35121811444843 \tabularnewline
0.37 & 83.3107763854875 & 2.407273315234 \tabularnewline
0.38 & 83.766254986011 & 2.45153721131741 \tabularnewline
0.39 & 84.2259389923929 & 2.48052197837121 \tabularnewline
0.4 & 84.6869688408078 & 2.4912108982321 \tabularnewline
0.41 & 85.1460664805605 & 2.4814919755034 \tabularnewline
0.42 & 85.5997385911899 & 2.45057515844917 \tabularnewline
0.43 & 86.0445153879471 & 2.39861103015408 \tabularnewline
0.44 & 86.4772134424798 & 2.32782992234799 \tabularnewline
0.45 & 86.8952021467682 & 2.24170713345047 \tabularnewline
0.46 & 87.2966459830598 & 2.14544228964848 \tabularnewline
0.47 & 87.6806913045183 & 2.04526766992879 \tabularnewline
0.48 & 88.0475685040227 & 1.94790820914915 \tabularnewline
0.49 & 88.398588456496 & 1.86036595410522 \tabularnewline
0.5 & 88.7360248497024 & 1.78831781263768 \tabularnewline
0.51 & 89.0628894557012 & 1.73619767135223 \tabularnewline
0.52 & 89.3826231291087 & 1.70606787195788 \tabularnewline
0.53 & 89.6987389450511 & 1.6973578203411 \tabularnewline
0.54 & 90.0144632563766 & 1.70701576558885 \tabularnewline
0.55 & 90.3324238030391 & 1.72981471934277 \tabularnewline
0.56 & 90.6544301648556 & 1.75951675679632 \tabularnewline
0.57 & 90.9813804759323 & 1.78983283554326 \tabularnewline
0.58 & 91.3133102662416 & 1.81524181157373 \tabularnewline
0.59 & 91.6495768581192 & 1.83194076838771 \tabularnewline
0.6 & 91.9891496229171 & 1.83831918216332 \tabularnewline
0.61 & 92.3309572089 & 1.83522599291075 \tabularnewline
0.62 & 92.674232160054 & 1.82588510487135 \tabularnewline
0.63 & 93.0187944699945 & 1.81472475949538 \tabularnewline
0.64 & 93.3652294637554 & 1.80754853604984 \tabularnewline
0.65 & 93.7149398061285 & 1.80947304684697 \tabularnewline
0.66 & 94.0700812595226 & 1.8244918827833 \tabularnewline
0.67 & 94.4334199041918 & 1.85511636470113 \tabularnewline
0.68 & 94.8081673568089 & 1.90186120485824 \tabularnewline
0.69 & 95.197854084755 & 1.96461819846402 \tabularnewline
0.7 & 95.6062864666077 & 2.0427144696288 \tabularnewline
0.71 & 96.0376023668014 & 2.13668658296783 \tabularnewline
0.72 & 96.4963987307617 & 2.24787755043082 \tabularnewline
0.73 & 96.9878628083895 & 2.37945489454333 \tabularnewline
0.74 & 97.5178078514443 & 2.53476838868218 \tabularnewline
0.75 & 98.0925059694445 & 2.71623299022279 \tabularnewline
0.76 & 98.7182335983937 & 2.92346891177807 \tabularnewline
0.77 & 99.4005008996785 & 3.15125270047798 \tabularnewline
0.78 & 100.143018730126 & 3.38858220398055 \tabularnewline
0.79 & 100.946549078874 & 3.61866268261159 \tabularnewline
0.8 & 101.80786257809 & 3.82042417593055 \tabularnewline
0.81 & 102.719063624736 & 3.97111260485732 \tabularnewline
0.82 & 103.667521709134 & 4.05005003100124 \tabularnewline
0.83 & 104.636567057744 & 4.04194117430296 \tabularnewline
0.84 & 105.606992899529 & 3.94071590306698 \tabularnewline
0.85 & 106.559293999277 & 3.75054544059563 \tabularnewline
0.86 & 107.476493136372 & 3.48723626492912 \tabularnewline
0.87 & 108.347359318808 & 3.176701570425 \tabularnewline
0.88 & 109.169745632343 & 2.85491657879326 \tabularnewline
0.89 & 109.953583539983 & 2.56657546726237 \tabularnewline
0.9 & 110.72274285833 & 2.36333578285395 \tabularnewline
0.91 & 111.514715815743 & 2.2944702042541 \tabularnewline
0.92 & 112.377531991046 & 2.38381556202413 \tabularnewline
0.93 & 113.365461736336 & 2.60535319986093 \tabularnewline
0.94 & 114.539554208404 & 2.8922943169031 \tabularnewline
0.95 & 115.983455184986 & 3.19125423232867 \tabularnewline
0.96 & 117.837515022237 & 3.55485022334714 \tabularnewline
0.97 & 120.309072147282 & 4.23820087536463 \tabularnewline
0.98 & 123.524974922465 & 5.59601335614483 \tabularnewline
0.99 & 127.091084718369 & 7.55184251658159 \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]60.694031841689[/C][C]1.0791872077554[/C][/ROW]
[ROW][C]0.02[/C][C]61.4414966519481[/C][C]1.65111825537543[/C][/ROW]
[ROW][C]0.03[/C][C]62.432604594431[/C][C]2.19217669857004[/C][/ROW]
[ROW][C]0.04[/C][C]63.5441609387694[/C][C]2.49951441089942[/C][/ROW]
[ROW][C]0.05[/C][C]64.6679266273003[/C][C]2.54883295788644[/C][/ROW]
[ROW][C]0.06[/C][C]65.7260506482099[/C][C]2.4266702309161[/C][/ROW]
[ROW][C]0.07[/C][C]66.6813202103402[/C][C]2.25932536137845[/C][/ROW]
[ROW][C]0.08[/C][C]67.5351603546534[/C][C]2.15755567756776[/C][/ROW]
[ROW][C]0.09[/C][C]68.3146459187791[/C][C]2.17910117321432[/C][/ROW]
[ROW][C]0.1[/C][C]69.0557741017564[/C][C]2.3165853822942[/C][/ROW]
[ROW][C]0.11[/C][C]69.7895074860165[/C][C]2.51687617854442[/C][/ROW]
[ROW][C]0.12[/C][C]70.5337631483446[/C][C]2.71532695381937[/C][/ROW]
[ROW][C]0.13[/C][C]71.2915923022819[/C][C]2.85884123730314[/C][/ROW]
[ROW][C]0.14[/C][C]72.0540576029508[/C][C]2.91692255878037[/C][/ROW]
[ROW][C]0.15[/C][C]72.8056131371001[/C][C]2.88441820064751[/C][/ROW]
[ROW][C]0.16[/C][C]73.5298308109537[/C][C]2.77688477390951[/C][/ROW]
[ROW][C]0.17[/C][C]74.2138534984568[/C][C]2.62365132269254[/C][/ROW]
[ROW][C]0.18[/C][C]74.8507517561894[/C][C]2.45711449924375[/C][/ROW]
[ROW][C]0.19[/C][C]75.4397619911284[/C][C]2.30472926458501[/C][/ROW]
[ROW][C]0.2[/C][C]75.9849706654406[/C][C]2.18305354873187[/C][/ROW]
[ROW][C]0.21[/C][C]76.4932672896564[/C][C]2.09652580651314[/C][/ROW]
[ROW][C]0.22[/C][C]76.9723333479176[/C][C]2.04011547609439[/C][/ROW]
[ROW][C]0.23[/C][C]77.4291752527195[/C][C]2.00501965520653[/C][/ROW]
[ROW][C]0.24[/C][C]77.8693891083734[/C][C]1.98242497533263[/C][/ROW]
[ROW][C]0.25[/C][C]78.2970794369272[/C][C]1.96665934414445[/C][/ROW]
[ROW][C]0.26[/C][C]78.715202735322[/C][C]1.95575112754967[/C][/ROW]
[ROW][C]0.27[/C][C]79.126073260585[/C][C]1.95087561938161[/C][/ROW]
[ROW][C]0.28[/C][C]79.5318194829294[/C][C]1.95438651975427[/C][/ROW]
[ROW][C]0.29[/C][C]79.9346694783517[/C][C]1.96901021519713[/C][/ROW]
[ROW][C]0.3[/C][C]80.3370328075156[/C][C]1.99676085499957[/C][/ROW]
[ROW][C]0.31[/C][C]80.7414113304053[/C][C]2.03769008583735[/C][/ROW]
[ROW][C]0.32[/C][C]81.1502042024804[/C][C]2.09056295430428[/C][/ROW]
[ROW][C]0.33[/C][C]81.5654768793589[/C][C]2.15235824823396[/C][/ROW]
[ROW][C]0.34[/C][C]81.9887500212285[/C][C]2.21934548181859[/C][/ROW]
[ROW][C]0.35[/C][C]82.420842407566[/C][C]2.28709904904117[/C][/ROW]
[ROW][C]0.36[/C][C]82.8617809957208[/C][C]2.35121811444843[/C][/ROW]
[ROW][C]0.37[/C][C]83.3107763854875[/C][C]2.407273315234[/C][/ROW]
[ROW][C]0.38[/C][C]83.766254986011[/C][C]2.45153721131741[/C][/ROW]
[ROW][C]0.39[/C][C]84.2259389923929[/C][C]2.48052197837121[/C][/ROW]
[ROW][C]0.4[/C][C]84.6869688408078[/C][C]2.4912108982321[/C][/ROW]
[ROW][C]0.41[/C][C]85.1460664805605[/C][C]2.4814919755034[/C][/ROW]
[ROW][C]0.42[/C][C]85.5997385911899[/C][C]2.45057515844917[/C][/ROW]
[ROW][C]0.43[/C][C]86.0445153879471[/C][C]2.39861103015408[/C][/ROW]
[ROW][C]0.44[/C][C]86.4772134424798[/C][C]2.32782992234799[/C][/ROW]
[ROW][C]0.45[/C][C]86.8952021467682[/C][C]2.24170713345047[/C][/ROW]
[ROW][C]0.46[/C][C]87.2966459830598[/C][C]2.14544228964848[/C][/ROW]
[ROW][C]0.47[/C][C]87.6806913045183[/C][C]2.04526766992879[/C][/ROW]
[ROW][C]0.48[/C][C]88.0475685040227[/C][C]1.94790820914915[/C][/ROW]
[ROW][C]0.49[/C][C]88.398588456496[/C][C]1.86036595410522[/C][/ROW]
[ROW][C]0.5[/C][C]88.7360248497024[/C][C]1.78831781263768[/C][/ROW]
[ROW][C]0.51[/C][C]89.0628894557012[/C][C]1.73619767135223[/C][/ROW]
[ROW][C]0.52[/C][C]89.3826231291087[/C][C]1.70606787195788[/C][/ROW]
[ROW][C]0.53[/C][C]89.6987389450511[/C][C]1.6973578203411[/C][/ROW]
[ROW][C]0.54[/C][C]90.0144632563766[/C][C]1.70701576558885[/C][/ROW]
[ROW][C]0.55[/C][C]90.3324238030391[/C][C]1.72981471934277[/C][/ROW]
[ROW][C]0.56[/C][C]90.6544301648556[/C][C]1.75951675679632[/C][/ROW]
[ROW][C]0.57[/C][C]90.9813804759323[/C][C]1.78983283554326[/C][/ROW]
[ROW][C]0.58[/C][C]91.3133102662416[/C][C]1.81524181157373[/C][/ROW]
[ROW][C]0.59[/C][C]91.6495768581192[/C][C]1.83194076838771[/C][/ROW]
[ROW][C]0.6[/C][C]91.9891496229171[/C][C]1.83831918216332[/C][/ROW]
[ROW][C]0.61[/C][C]92.3309572089[/C][C]1.83522599291075[/C][/ROW]
[ROW][C]0.62[/C][C]92.674232160054[/C][C]1.82588510487135[/C][/ROW]
[ROW][C]0.63[/C][C]93.0187944699945[/C][C]1.81472475949538[/C][/ROW]
[ROW][C]0.64[/C][C]93.3652294637554[/C][C]1.80754853604984[/C][/ROW]
[ROW][C]0.65[/C][C]93.7149398061285[/C][C]1.80947304684697[/C][/ROW]
[ROW][C]0.66[/C][C]94.0700812595226[/C][C]1.8244918827833[/C][/ROW]
[ROW][C]0.67[/C][C]94.4334199041918[/C][C]1.85511636470113[/C][/ROW]
[ROW][C]0.68[/C][C]94.8081673568089[/C][C]1.90186120485824[/C][/ROW]
[ROW][C]0.69[/C][C]95.197854084755[/C][C]1.96461819846402[/C][/ROW]
[ROW][C]0.7[/C][C]95.6062864666077[/C][C]2.0427144696288[/C][/ROW]
[ROW][C]0.71[/C][C]96.0376023668014[/C][C]2.13668658296783[/C][/ROW]
[ROW][C]0.72[/C][C]96.4963987307617[/C][C]2.24787755043082[/C][/ROW]
[ROW][C]0.73[/C][C]96.9878628083895[/C][C]2.37945489454333[/C][/ROW]
[ROW][C]0.74[/C][C]97.5178078514443[/C][C]2.53476838868218[/C][/ROW]
[ROW][C]0.75[/C][C]98.0925059694445[/C][C]2.71623299022279[/C][/ROW]
[ROW][C]0.76[/C][C]98.7182335983937[/C][C]2.92346891177807[/C][/ROW]
[ROW][C]0.77[/C][C]99.4005008996785[/C][C]3.15125270047798[/C][/ROW]
[ROW][C]0.78[/C][C]100.143018730126[/C][C]3.38858220398055[/C][/ROW]
[ROW][C]0.79[/C][C]100.946549078874[/C][C]3.61866268261159[/C][/ROW]
[ROW][C]0.8[/C][C]101.80786257809[/C][C]3.82042417593055[/C][/ROW]
[ROW][C]0.81[/C][C]102.719063624736[/C][C]3.97111260485732[/C][/ROW]
[ROW][C]0.82[/C][C]103.667521709134[/C][C]4.05005003100124[/C][/ROW]
[ROW][C]0.83[/C][C]104.636567057744[/C][C]4.04194117430296[/C][/ROW]
[ROW][C]0.84[/C][C]105.606992899529[/C][C]3.94071590306698[/C][/ROW]
[ROW][C]0.85[/C][C]106.559293999277[/C][C]3.75054544059563[/C][/ROW]
[ROW][C]0.86[/C][C]107.476493136372[/C][C]3.48723626492912[/C][/ROW]
[ROW][C]0.87[/C][C]108.347359318808[/C][C]3.176701570425[/C][/ROW]
[ROW][C]0.88[/C][C]109.169745632343[/C][C]2.85491657879326[/C][/ROW]
[ROW][C]0.89[/C][C]109.953583539983[/C][C]2.56657546726237[/C][/ROW]
[ROW][C]0.9[/C][C]110.72274285833[/C][C]2.36333578285395[/C][/ROW]
[ROW][C]0.91[/C][C]111.514715815743[/C][C]2.2944702042541[/C][/ROW]
[ROW][C]0.92[/C][C]112.377531991046[/C][C]2.38381556202413[/C][/ROW]
[ROW][C]0.93[/C][C]113.365461736336[/C][C]2.60535319986093[/C][/ROW]
[ROW][C]0.94[/C][C]114.539554208404[/C][C]2.8922943169031[/C][/ROW]
[ROW][C]0.95[/C][C]115.983455184986[/C][C]3.19125423232867[/C][/ROW]
[ROW][C]0.96[/C][C]117.837515022237[/C][C]3.55485022334714[/C][/ROW]
[ROW][C]0.97[/C][C]120.309072147282[/C][C]4.23820087536463[/C][/ROW]
[ROW][C]0.98[/C][C]123.524974922465[/C][C]5.59601335614483[/C][/ROW]
[ROW][C]0.99[/C][C]127.091084718369[/C][C]7.55184251658159[/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
0.0160.6940318416891.0791872077554
0.0261.44149665194811.65111825537543
0.0362.4326045944312.19217669857004
0.0463.54416093876942.49951441089942
0.0564.66792662730032.54883295788644
0.0665.72605064820992.4266702309161
0.0766.68132021034022.25932536137845
0.0867.53516035465342.15755567756776
0.0968.31464591877912.17910117321432
0.169.05577410175642.3165853822942
0.1169.78950748601652.51687617854442
0.1270.53376314834462.71532695381937
0.1371.29159230228192.85884123730314
0.1472.05405760295082.91692255878037
0.1572.80561313710012.88441820064751
0.1673.52983081095372.77688477390951
0.1774.21385349845682.62365132269254
0.1874.85075175618942.45711449924375
0.1975.43976199112842.30472926458501
0.275.98497066544062.18305354873187
0.2176.49326728965642.09652580651314
0.2276.97233334791762.04011547609439
0.2377.42917525271952.00501965520653
0.2477.86938910837341.98242497533263
0.2578.29707943692721.96665934414445
0.2678.7152027353221.95575112754967
0.2779.1260732605851.95087561938161
0.2879.53181948292941.95438651975427
0.2979.93466947835171.96901021519713
0.380.33703280751561.99676085499957
0.3180.74141133040532.03769008583735
0.3281.15020420248042.09056295430428
0.3381.56547687935892.15235824823396
0.3481.98875002122852.21934548181859
0.3582.4208424075662.28709904904117
0.3682.86178099572082.35121811444843
0.3783.31077638548752.407273315234
0.3883.7662549860112.45153721131741
0.3984.22593899239292.48052197837121
0.484.68696884080782.4912108982321
0.4185.14606648056052.4814919755034
0.4285.59973859118992.45057515844917
0.4386.04451538794712.39861103015408
0.4486.47721344247982.32782992234799
0.4586.89520214676822.24170713345047
0.4687.29664598305982.14544228964848
0.4787.68069130451832.04526766992879
0.4888.04756850402271.94790820914915
0.4988.3985884564961.86036595410522
0.588.73602484970241.78831781263768
0.5189.06288945570121.73619767135223
0.5289.38262312910871.70606787195788
0.5389.69873894505111.6973578203411
0.5490.01446325637661.70701576558885
0.5590.33242380303911.72981471934277
0.5690.65443016485561.75951675679632
0.5790.98138047593231.78983283554326
0.5891.31331026624161.81524181157373
0.5991.64957685811921.83194076838771
0.691.98914962291711.83831918216332
0.6192.33095720891.83522599291075
0.6292.6742321600541.82588510487135
0.6393.01879446999451.81472475949538
0.6493.36522946375541.80754853604984
0.6593.71493980612851.80947304684697
0.6694.07008125952261.8244918827833
0.6794.43341990419181.85511636470113
0.6894.80816735680891.90186120485824
0.6995.1978540847551.96461819846402
0.795.60628646660772.0427144696288
0.7196.03760236680142.13668658296783
0.7296.49639873076172.24787755043082
0.7396.98786280838952.37945489454333
0.7497.51780785144432.53476838868218
0.7598.09250596944452.71623299022279
0.7698.71823359839372.92346891177807
0.7799.40050089967853.15125270047798
0.78100.1430187301263.38858220398055
0.79100.9465490788743.61866268261159
0.8101.807862578093.82042417593055
0.81102.7190636247363.97111260485732
0.82103.6675217091344.05005003100124
0.83104.6365670577444.04194117430296
0.84105.6069928995293.94071590306698
0.85106.5592939992773.75054544059563
0.86107.4764931363723.48723626492912
0.87108.3473593188083.176701570425
0.88109.1697456323432.85491657879326
0.89109.9535835399832.56657546726237
0.9110.722742858332.36333578285395
0.91111.5147158157432.2944702042541
0.92112.3775319910462.38381556202413
0.93113.3654617363362.60535319986093
0.94114.5395542084042.8922943169031
0.95115.9834551849863.19125423232867
0.96117.8375150222373.55485022334714
0.97120.3090721472824.23820087536463
0.98123.5249749224655.59601335614483
0.99127.0910847183697.55184251658159


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')