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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 25 Dec 2010 17:33:11 +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/2010/Dec/25/t1293299904avak2ujd25quwdr.htm/, Retrieved Sun, 28 Apr 2024 23:46:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115427, Retrieved Sun, 28 Apr 2024 23:46:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138

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] [EONIA Harrel Davis] [2010-12-25 17:33:11] [f593aab944ee27cf123b0a348e80fa81] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2,08
2,09
2,07
2,04
2,35
2,33
2,37
2,59
2,62
2,6
2,83
2,78
3,01
3,06
3,33
3,32
3,6
3,57
3,57
3,83
3,84
3,8
4,07
4,05
4,272
3,858
4,067
3,964
3,782
4,114
4,009
4,025
4,082
4,044
3,916
4,289
4,296
4,193
3,48
2,934
2,221
1,211
1,28
0,96
0,5
0,687
0,344
0,346
0,334
0,34
0,328
0,344
0,341
0,32
0,314
0,325
0,339
0,329
0,48
0,399
0,37

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115427&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115427&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115427&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 time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.3155914419220550.00562516315388718
0.020.3180433312808140.00535465165845265
0.030.3207378179150090.00518399022812575
0.040.3233064683602110.00510492850272989
0.050.3256461077761660.00515356043154696
0.060.3277936004066830.00536490343609483
0.070.329827385136260.00572330040337763
0.080.3318273043126250.00621897186930477
0.090.3338748861456420.00694584424799018
0.10.3360743355097510.00817182207729552
0.110.3385815434115650.0103518930999417
0.120.3416333310905590.0140615066408535
0.130.3455721411522510.0199273518385369
0.140.3508635082085070.0286142449165237
0.150.3581049628129670.0408241144378975
0.160.3680254841946450.0572700615620222
0.170.3814744687833440.0786164583772942
0.180.399398887519780.105404258980487
0.190.4228073240797280.137962954106085
0.20.4527202302087330.176318983603684
0.210.4901071143582670.220114665223360
0.220.5358133945010440.268546817052053
0.230.5904819937815270.320339107730077
0.240.654476979325560.373772420819923
0.250.7278181065323780.42676176784458
0.260.8101355422594870.476992497729382
0.270.9006529762598020.522098787425562
0.280.9982047333763130.55987246950492
0.291.101288624528380.588473199497853
0.31.208151668810.606606367338756
0.311.316901230992240.613664630534425
0.321.425630359545820.609790712148509
0.331.532543888280060.59585952721588
0.341.636071630230860.573388945391435
0.351.734956829844900.544373392347844
0.361.828311635772170.5110893022013
0.371.915636060293860.475871299658245
0.381.996801851947860.440901168897147
0.392.072007061271170.408040304603775
0.42.141710132993040.378715280828551
0.412.206553725417040.353831288242259
0.422.267288113578020.333797604338412
0.432.324702276868330.318579705601466
0.442.379568123619260.307812684566772
0.452.432600363286190.300937791884744
0.462.484431844850890.297306677174759
0.472.535602129292580.296295210658671
0.482.586555850674220.297327245137412
0.492.637647053373880.299918526901391
0.52.689146037800170.303638508832767
0.512.741246085534040.308105018810743
0.522.794068522714460.312947631381851
0.532.847665689739090.317799632433533
0.542.902022330752910.322278599264882
0.552.957056567483170.325982345677050
0.563.012621907090710.328518483409724
0.573.068511640868240.329526135274416
0.583.124466566847700.328693704445652
0.593.18018631642490.325797264135638
0.63.235343827528320.320724539207381
0.613.289601849255190.313475987546310
0.623.342629936795210.304180509324188
0.633.394120301634150.293059406880360
0.643.443801138842520.280417148832116
0.653.491446583253020.266595349049556
0.663.536883090261260.251951764618122
0.673.579992596636930.236829403710355
0.683.620713117450180.221547189837717
0.693.659037389329940.206393417808955
0.73.695009818333440.191642059423702
0.713.728721501249530.177533181682055
0.723.760302709965930.164290614040291
0.733.7899122000440.152098899705313
0.743.817723162791570.141057002813761
0.753.843906544713410.131174007165894
0.763.86861357898230.122332632164465
0.773.891960348315590.114300986873212
0.783.914017651561600.106769614447966
0.793.934809128531850.099407253187261
0.83.954319496758110.091954043105444
0.813.972513122446920.0842623138958701
0.823.989361424246710.0763479462571873
0.834.004876241415130.0683961278511033
0.844.019145529598330.060749090206369
0.854.032367439463380.0538868248900233
0.864.044878436179780.0484076893936848
0.874.057169864155480.0449867292685273
0.884.069884724075310.0442911547969293
0.894.08378279807380.0467367115097144
0.94.099659664631890.0522080371214384
0.914.118207638704190.0599048735050657
0.924.139819665408840.0683275263965015
0.934.164364795794530.075354476018315
0.944.191003516388490.078482247250261
0.954.218146616161240.0754424930211728
0.964.243659207788970.0651609457043545
0.974.265334221177050.048747987741298
0.984.281506309838330.0299122070425851
0.994.291541855608820.0142058661010203

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.315591441922055 & 0.00562516315388718 \tabularnewline
0.02 & 0.318043331280814 & 0.00535465165845265 \tabularnewline
0.03 & 0.320737817915009 & 0.00518399022812575 \tabularnewline
0.04 & 0.323306468360211 & 0.00510492850272989 \tabularnewline
0.05 & 0.325646107776166 & 0.00515356043154696 \tabularnewline
0.06 & 0.327793600406683 & 0.00536490343609483 \tabularnewline
0.07 & 0.32982738513626 & 0.00572330040337763 \tabularnewline
0.08 & 0.331827304312625 & 0.00621897186930477 \tabularnewline
0.09 & 0.333874886145642 & 0.00694584424799018 \tabularnewline
0.1 & 0.336074335509751 & 0.00817182207729552 \tabularnewline
0.11 & 0.338581543411565 & 0.0103518930999417 \tabularnewline
0.12 & 0.341633331090559 & 0.0140615066408535 \tabularnewline
0.13 & 0.345572141152251 & 0.0199273518385369 \tabularnewline
0.14 & 0.350863508208507 & 0.0286142449165237 \tabularnewline
0.15 & 0.358104962812967 & 0.0408241144378975 \tabularnewline
0.16 & 0.368025484194645 & 0.0572700615620222 \tabularnewline
0.17 & 0.381474468783344 & 0.0786164583772942 \tabularnewline
0.18 & 0.39939888751978 & 0.105404258980487 \tabularnewline
0.19 & 0.422807324079728 & 0.137962954106085 \tabularnewline
0.2 & 0.452720230208733 & 0.176318983603684 \tabularnewline
0.21 & 0.490107114358267 & 0.220114665223360 \tabularnewline
0.22 & 0.535813394501044 & 0.268546817052053 \tabularnewline
0.23 & 0.590481993781527 & 0.320339107730077 \tabularnewline
0.24 & 0.65447697932556 & 0.373772420819923 \tabularnewline
0.25 & 0.727818106532378 & 0.42676176784458 \tabularnewline
0.26 & 0.810135542259487 & 0.476992497729382 \tabularnewline
0.27 & 0.900652976259802 & 0.522098787425562 \tabularnewline
0.28 & 0.998204733376313 & 0.55987246950492 \tabularnewline
0.29 & 1.10128862452838 & 0.588473199497853 \tabularnewline
0.3 & 1.20815166881 & 0.606606367338756 \tabularnewline
0.31 & 1.31690123099224 & 0.613664630534425 \tabularnewline
0.32 & 1.42563035954582 & 0.609790712148509 \tabularnewline
0.33 & 1.53254388828006 & 0.59585952721588 \tabularnewline
0.34 & 1.63607163023086 & 0.573388945391435 \tabularnewline
0.35 & 1.73495682984490 & 0.544373392347844 \tabularnewline
0.36 & 1.82831163577217 & 0.5110893022013 \tabularnewline
0.37 & 1.91563606029386 & 0.475871299658245 \tabularnewline
0.38 & 1.99680185194786 & 0.440901168897147 \tabularnewline
0.39 & 2.07200706127117 & 0.408040304603775 \tabularnewline
0.4 & 2.14171013299304 & 0.378715280828551 \tabularnewline
0.41 & 2.20655372541704 & 0.353831288242259 \tabularnewline
0.42 & 2.26728811357802 & 0.333797604338412 \tabularnewline
0.43 & 2.32470227686833 & 0.318579705601466 \tabularnewline
0.44 & 2.37956812361926 & 0.307812684566772 \tabularnewline
0.45 & 2.43260036328619 & 0.300937791884744 \tabularnewline
0.46 & 2.48443184485089 & 0.297306677174759 \tabularnewline
0.47 & 2.53560212929258 & 0.296295210658671 \tabularnewline
0.48 & 2.58655585067422 & 0.297327245137412 \tabularnewline
0.49 & 2.63764705337388 & 0.299918526901391 \tabularnewline
0.5 & 2.68914603780017 & 0.303638508832767 \tabularnewline
0.51 & 2.74124608553404 & 0.308105018810743 \tabularnewline
0.52 & 2.79406852271446 & 0.312947631381851 \tabularnewline
0.53 & 2.84766568973909 & 0.317799632433533 \tabularnewline
0.54 & 2.90202233075291 & 0.322278599264882 \tabularnewline
0.55 & 2.95705656748317 & 0.325982345677050 \tabularnewline
0.56 & 3.01262190709071 & 0.328518483409724 \tabularnewline
0.57 & 3.06851164086824 & 0.329526135274416 \tabularnewline
0.58 & 3.12446656684770 & 0.328693704445652 \tabularnewline
0.59 & 3.1801863164249 & 0.325797264135638 \tabularnewline
0.6 & 3.23534382752832 & 0.320724539207381 \tabularnewline
0.61 & 3.28960184925519 & 0.313475987546310 \tabularnewline
0.62 & 3.34262993679521 & 0.304180509324188 \tabularnewline
0.63 & 3.39412030163415 & 0.293059406880360 \tabularnewline
0.64 & 3.44380113884252 & 0.280417148832116 \tabularnewline
0.65 & 3.49144658325302 & 0.266595349049556 \tabularnewline
0.66 & 3.53688309026126 & 0.251951764618122 \tabularnewline
0.67 & 3.57999259663693 & 0.236829403710355 \tabularnewline
0.68 & 3.62071311745018 & 0.221547189837717 \tabularnewline
0.69 & 3.65903738932994 & 0.206393417808955 \tabularnewline
0.7 & 3.69500981833344 & 0.191642059423702 \tabularnewline
0.71 & 3.72872150124953 & 0.177533181682055 \tabularnewline
0.72 & 3.76030270996593 & 0.164290614040291 \tabularnewline
0.73 & 3.789912200044 & 0.152098899705313 \tabularnewline
0.74 & 3.81772316279157 & 0.141057002813761 \tabularnewline
0.75 & 3.84390654471341 & 0.131174007165894 \tabularnewline
0.76 & 3.8686135789823 & 0.122332632164465 \tabularnewline
0.77 & 3.89196034831559 & 0.114300986873212 \tabularnewline
0.78 & 3.91401765156160 & 0.106769614447966 \tabularnewline
0.79 & 3.93480912853185 & 0.099407253187261 \tabularnewline
0.8 & 3.95431949675811 & 0.091954043105444 \tabularnewline
0.81 & 3.97251312244692 & 0.0842623138958701 \tabularnewline
0.82 & 3.98936142424671 & 0.0763479462571873 \tabularnewline
0.83 & 4.00487624141513 & 0.0683961278511033 \tabularnewline
0.84 & 4.01914552959833 & 0.060749090206369 \tabularnewline
0.85 & 4.03236743946338 & 0.0538868248900233 \tabularnewline
0.86 & 4.04487843617978 & 0.0484076893936848 \tabularnewline
0.87 & 4.05716986415548 & 0.0449867292685273 \tabularnewline
0.88 & 4.06988472407531 & 0.0442911547969293 \tabularnewline
0.89 & 4.0837827980738 & 0.0467367115097144 \tabularnewline
0.9 & 4.09965966463189 & 0.0522080371214384 \tabularnewline
0.91 & 4.11820763870419 & 0.0599048735050657 \tabularnewline
0.92 & 4.13981966540884 & 0.0683275263965015 \tabularnewline
0.93 & 4.16436479579453 & 0.075354476018315 \tabularnewline
0.94 & 4.19100351638849 & 0.078482247250261 \tabularnewline
0.95 & 4.21814661616124 & 0.0754424930211728 \tabularnewline
0.96 & 4.24365920778897 & 0.0651609457043545 \tabularnewline
0.97 & 4.26533422117705 & 0.048747987741298 \tabularnewline
0.98 & 4.28150630983833 & 0.0299122070425851 \tabularnewline
0.99 & 4.29154185560882 & 0.0142058661010203 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115427&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]0.315591441922055[/C][C]0.00562516315388718[/C][/ROW]
[ROW][C]0.02[/C][C]0.318043331280814[/C][C]0.00535465165845265[/C][/ROW]
[ROW][C]0.03[/C][C]0.320737817915009[/C][C]0.00518399022812575[/C][/ROW]
[ROW][C]0.04[/C][C]0.323306468360211[/C][C]0.00510492850272989[/C][/ROW]
[ROW][C]0.05[/C][C]0.325646107776166[/C][C]0.00515356043154696[/C][/ROW]
[ROW][C]0.06[/C][C]0.327793600406683[/C][C]0.00536490343609483[/C][/ROW]
[ROW][C]0.07[/C][C]0.32982738513626[/C][C]0.00572330040337763[/C][/ROW]
[ROW][C]0.08[/C][C]0.331827304312625[/C][C]0.00621897186930477[/C][/ROW]
[ROW][C]0.09[/C][C]0.333874886145642[/C][C]0.00694584424799018[/C][/ROW]
[ROW][C]0.1[/C][C]0.336074335509751[/C][C]0.00817182207729552[/C][/ROW]
[ROW][C]0.11[/C][C]0.338581543411565[/C][C]0.0103518930999417[/C][/ROW]
[ROW][C]0.12[/C][C]0.341633331090559[/C][C]0.0140615066408535[/C][/ROW]
[ROW][C]0.13[/C][C]0.345572141152251[/C][C]0.0199273518385369[/C][/ROW]
[ROW][C]0.14[/C][C]0.350863508208507[/C][C]0.0286142449165237[/C][/ROW]
[ROW][C]0.15[/C][C]0.358104962812967[/C][C]0.0408241144378975[/C][/ROW]
[ROW][C]0.16[/C][C]0.368025484194645[/C][C]0.0572700615620222[/C][/ROW]
[ROW][C]0.17[/C][C]0.381474468783344[/C][C]0.0786164583772942[/C][/ROW]
[ROW][C]0.18[/C][C]0.39939888751978[/C][C]0.105404258980487[/C][/ROW]
[ROW][C]0.19[/C][C]0.422807324079728[/C][C]0.137962954106085[/C][/ROW]
[ROW][C]0.2[/C][C]0.452720230208733[/C][C]0.176318983603684[/C][/ROW]
[ROW][C]0.21[/C][C]0.490107114358267[/C][C]0.220114665223360[/C][/ROW]
[ROW][C]0.22[/C][C]0.535813394501044[/C][C]0.268546817052053[/C][/ROW]
[ROW][C]0.23[/C][C]0.590481993781527[/C][C]0.320339107730077[/C][/ROW]
[ROW][C]0.24[/C][C]0.65447697932556[/C][C]0.373772420819923[/C][/ROW]
[ROW][C]0.25[/C][C]0.727818106532378[/C][C]0.42676176784458[/C][/ROW]
[ROW][C]0.26[/C][C]0.810135542259487[/C][C]0.476992497729382[/C][/ROW]
[ROW][C]0.27[/C][C]0.900652976259802[/C][C]0.522098787425562[/C][/ROW]
[ROW][C]0.28[/C][C]0.998204733376313[/C][C]0.55987246950492[/C][/ROW]
[ROW][C]0.29[/C][C]1.10128862452838[/C][C]0.588473199497853[/C][/ROW]
[ROW][C]0.3[/C][C]1.20815166881[/C][C]0.606606367338756[/C][/ROW]
[ROW][C]0.31[/C][C]1.31690123099224[/C][C]0.613664630534425[/C][/ROW]
[ROW][C]0.32[/C][C]1.42563035954582[/C][C]0.609790712148509[/C][/ROW]
[ROW][C]0.33[/C][C]1.53254388828006[/C][C]0.59585952721588[/C][/ROW]
[ROW][C]0.34[/C][C]1.63607163023086[/C][C]0.573388945391435[/C][/ROW]
[ROW][C]0.35[/C][C]1.73495682984490[/C][C]0.544373392347844[/C][/ROW]
[ROW][C]0.36[/C][C]1.82831163577217[/C][C]0.5110893022013[/C][/ROW]
[ROW][C]0.37[/C][C]1.91563606029386[/C][C]0.475871299658245[/C][/ROW]
[ROW][C]0.38[/C][C]1.99680185194786[/C][C]0.440901168897147[/C][/ROW]
[ROW][C]0.39[/C][C]2.07200706127117[/C][C]0.408040304603775[/C][/ROW]
[ROW][C]0.4[/C][C]2.14171013299304[/C][C]0.378715280828551[/C][/ROW]
[ROW][C]0.41[/C][C]2.20655372541704[/C][C]0.353831288242259[/C][/ROW]
[ROW][C]0.42[/C][C]2.26728811357802[/C][C]0.333797604338412[/C][/ROW]
[ROW][C]0.43[/C][C]2.32470227686833[/C][C]0.318579705601466[/C][/ROW]
[ROW][C]0.44[/C][C]2.37956812361926[/C][C]0.307812684566772[/C][/ROW]
[ROW][C]0.45[/C][C]2.43260036328619[/C][C]0.300937791884744[/C][/ROW]
[ROW][C]0.46[/C][C]2.48443184485089[/C][C]0.297306677174759[/C][/ROW]
[ROW][C]0.47[/C][C]2.53560212929258[/C][C]0.296295210658671[/C][/ROW]
[ROW][C]0.48[/C][C]2.58655585067422[/C][C]0.297327245137412[/C][/ROW]
[ROW][C]0.49[/C][C]2.63764705337388[/C][C]0.299918526901391[/C][/ROW]
[ROW][C]0.5[/C][C]2.68914603780017[/C][C]0.303638508832767[/C][/ROW]
[ROW][C]0.51[/C][C]2.74124608553404[/C][C]0.308105018810743[/C][/ROW]
[ROW][C]0.52[/C][C]2.79406852271446[/C][C]0.312947631381851[/C][/ROW]
[ROW][C]0.53[/C][C]2.84766568973909[/C][C]0.317799632433533[/C][/ROW]
[ROW][C]0.54[/C][C]2.90202233075291[/C][C]0.322278599264882[/C][/ROW]
[ROW][C]0.55[/C][C]2.95705656748317[/C][C]0.325982345677050[/C][/ROW]
[ROW][C]0.56[/C][C]3.01262190709071[/C][C]0.328518483409724[/C][/ROW]
[ROW][C]0.57[/C][C]3.06851164086824[/C][C]0.329526135274416[/C][/ROW]
[ROW][C]0.58[/C][C]3.12446656684770[/C][C]0.328693704445652[/C][/ROW]
[ROW][C]0.59[/C][C]3.1801863164249[/C][C]0.325797264135638[/C][/ROW]
[ROW][C]0.6[/C][C]3.23534382752832[/C][C]0.320724539207381[/C][/ROW]
[ROW][C]0.61[/C][C]3.28960184925519[/C][C]0.313475987546310[/C][/ROW]
[ROW][C]0.62[/C][C]3.34262993679521[/C][C]0.304180509324188[/C][/ROW]
[ROW][C]0.63[/C][C]3.39412030163415[/C][C]0.293059406880360[/C][/ROW]
[ROW][C]0.64[/C][C]3.44380113884252[/C][C]0.280417148832116[/C][/ROW]
[ROW][C]0.65[/C][C]3.49144658325302[/C][C]0.266595349049556[/C][/ROW]
[ROW][C]0.66[/C][C]3.53688309026126[/C][C]0.251951764618122[/C][/ROW]
[ROW][C]0.67[/C][C]3.57999259663693[/C][C]0.236829403710355[/C][/ROW]
[ROW][C]0.68[/C][C]3.62071311745018[/C][C]0.221547189837717[/C][/ROW]
[ROW][C]0.69[/C][C]3.65903738932994[/C][C]0.206393417808955[/C][/ROW]
[ROW][C]0.7[/C][C]3.69500981833344[/C][C]0.191642059423702[/C][/ROW]
[ROW][C]0.71[/C][C]3.72872150124953[/C][C]0.177533181682055[/C][/ROW]
[ROW][C]0.72[/C][C]3.76030270996593[/C][C]0.164290614040291[/C][/ROW]
[ROW][C]0.73[/C][C]3.789912200044[/C][C]0.152098899705313[/C][/ROW]
[ROW][C]0.74[/C][C]3.81772316279157[/C][C]0.141057002813761[/C][/ROW]
[ROW][C]0.75[/C][C]3.84390654471341[/C][C]0.131174007165894[/C][/ROW]
[ROW][C]0.76[/C][C]3.8686135789823[/C][C]0.122332632164465[/C][/ROW]
[ROW][C]0.77[/C][C]3.89196034831559[/C][C]0.114300986873212[/C][/ROW]
[ROW][C]0.78[/C][C]3.91401765156160[/C][C]0.106769614447966[/C][/ROW]
[ROW][C]0.79[/C][C]3.93480912853185[/C][C]0.099407253187261[/C][/ROW]
[ROW][C]0.8[/C][C]3.95431949675811[/C][C]0.091954043105444[/C][/ROW]
[ROW][C]0.81[/C][C]3.97251312244692[/C][C]0.0842623138958701[/C][/ROW]
[ROW][C]0.82[/C][C]3.98936142424671[/C][C]0.0763479462571873[/C][/ROW]
[ROW][C]0.83[/C][C]4.00487624141513[/C][C]0.0683961278511033[/C][/ROW]
[ROW][C]0.84[/C][C]4.01914552959833[/C][C]0.060749090206369[/C][/ROW]
[ROW][C]0.85[/C][C]4.03236743946338[/C][C]0.0538868248900233[/C][/ROW]
[ROW][C]0.86[/C][C]4.04487843617978[/C][C]0.0484076893936848[/C][/ROW]
[ROW][C]0.87[/C][C]4.05716986415548[/C][C]0.0449867292685273[/C][/ROW]
[ROW][C]0.88[/C][C]4.06988472407531[/C][C]0.0442911547969293[/C][/ROW]
[ROW][C]0.89[/C][C]4.0837827980738[/C][C]0.0467367115097144[/C][/ROW]
[ROW][C]0.9[/C][C]4.09965966463189[/C][C]0.0522080371214384[/C][/ROW]
[ROW][C]0.91[/C][C]4.11820763870419[/C][C]0.0599048735050657[/C][/ROW]
[ROW][C]0.92[/C][C]4.13981966540884[/C][C]0.0683275263965015[/C][/ROW]
[ROW][C]0.93[/C][C]4.16436479579453[/C][C]0.075354476018315[/C][/ROW]
[ROW][C]0.94[/C][C]4.19100351638849[/C][C]0.078482247250261[/C][/ROW]
[ROW][C]0.95[/C][C]4.21814661616124[/C][C]0.0754424930211728[/C][/ROW]
[ROW][C]0.96[/C][C]4.24365920778897[/C][C]0.0651609457043545[/C][/ROW]
[ROW][C]0.97[/C][C]4.26533422117705[/C][C]0.048747987741298[/C][/ROW]
[ROW][C]0.98[/C][C]4.28150630983833[/C][C]0.0299122070425851[/C][/ROW]
[ROW][C]0.99[/C][C]4.29154185560882[/C][C]0.0142058661010203[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115427&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115427&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
0.010.3155914419220550.00562516315388718
0.020.3180433312808140.00535465165845265
0.030.3207378179150090.00518399022812575
0.040.3233064683602110.00510492850272989
0.050.3256461077761660.00515356043154696
0.060.3277936004066830.00536490343609483
0.070.329827385136260.00572330040337763
0.080.3318273043126250.00621897186930477
0.090.3338748861456420.00694584424799018
0.10.3360743355097510.00817182207729552
0.110.3385815434115650.0103518930999417
0.120.3416333310905590.0140615066408535
0.130.3455721411522510.0199273518385369
0.140.3508635082085070.0286142449165237
0.150.3581049628129670.0408241144378975
0.160.3680254841946450.0572700615620222
0.170.3814744687833440.0786164583772942
0.180.399398887519780.105404258980487
0.190.4228073240797280.137962954106085
0.20.4527202302087330.176318983603684
0.210.4901071143582670.220114665223360
0.220.5358133945010440.268546817052053
0.230.5904819937815270.320339107730077
0.240.654476979325560.373772420819923
0.250.7278181065323780.42676176784458
0.260.8101355422594870.476992497729382
0.270.9006529762598020.522098787425562
0.280.9982047333763130.55987246950492
0.291.101288624528380.588473199497853
0.31.208151668810.606606367338756
0.311.316901230992240.613664630534425
0.321.425630359545820.609790712148509
0.331.532543888280060.59585952721588
0.341.636071630230860.573388945391435
0.351.734956829844900.544373392347844
0.361.828311635772170.5110893022013
0.371.915636060293860.475871299658245
0.381.996801851947860.440901168897147
0.392.072007061271170.408040304603775
0.42.141710132993040.378715280828551
0.412.206553725417040.353831288242259
0.422.267288113578020.333797604338412
0.432.324702276868330.318579705601466
0.442.379568123619260.307812684566772
0.452.432600363286190.300937791884744
0.462.484431844850890.297306677174759
0.472.535602129292580.296295210658671
0.482.586555850674220.297327245137412
0.492.637647053373880.299918526901391
0.52.689146037800170.303638508832767
0.512.741246085534040.308105018810743
0.522.794068522714460.312947631381851
0.532.847665689739090.317799632433533
0.542.902022330752910.322278599264882
0.552.957056567483170.325982345677050
0.563.012621907090710.328518483409724
0.573.068511640868240.329526135274416
0.583.124466566847700.328693704445652
0.593.18018631642490.325797264135638
0.63.235343827528320.320724539207381
0.613.289601849255190.313475987546310
0.623.342629936795210.304180509324188
0.633.394120301634150.293059406880360
0.643.443801138842520.280417148832116
0.653.491446583253020.266595349049556
0.663.536883090261260.251951764618122
0.673.579992596636930.236829403710355
0.683.620713117450180.221547189837717
0.693.659037389329940.206393417808955
0.73.695009818333440.191642059423702
0.713.728721501249530.177533181682055
0.723.760302709965930.164290614040291
0.733.7899122000440.152098899705313
0.743.817723162791570.141057002813761
0.753.843906544713410.131174007165894
0.763.86861357898230.122332632164465
0.773.891960348315590.114300986873212
0.783.914017651561600.106769614447966
0.793.934809128531850.099407253187261
0.83.954319496758110.091954043105444
0.813.972513122446920.0842623138958701
0.823.989361424246710.0763479462571873
0.834.004876241415130.0683961278511033
0.844.019145529598330.060749090206369
0.854.032367439463380.0538868248900233
0.864.044878436179780.0484076893936848
0.874.057169864155480.0449867292685273
0.884.069884724075310.0442911547969293
0.894.08378279807380.0467367115097144
0.94.099659664631890.0522080371214384
0.914.118207638704190.0599048735050657
0.924.139819665408840.0683275263965015
0.934.164364795794530.075354476018315
0.944.191003516388490.078482247250261
0.954.218146616161240.0754424930211728
0.964.243659207788970.0651609457043545
0.974.265334221177050.048747987741298
0.984.281506309838330.0299122070425851
0.994.291541855608820.0142058661010203


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')