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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 computationFri, 12 Aug 2016 15:26:51 +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/Aug/12/t1471012047880fq9fa6951adn.htm/, Retrieved Sun, 05 May 2024 15:46:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296436, Retrieved Sun, 05 May 2024 15:46:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact126

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Omzet Mentos Aardbei] [2016-07-17 11:11:37] [74be16979710d4c4e7c6647856088456]
-   P   [Univariate Data Series] [Omzet Mentos Aardbei] [2016-08-02 12:13:56] [74be16979710d4c4e7c6647856088456]
-   P     [Univariate Data Series] [] [2016-08-12 10:07:18] [74be16979710d4c4e7c6647856088456]
- R  D      [Univariate Data Series] [] [2016-08-12 10:23:50] [74be16979710d4c4e7c6647856088456]
- RMP           [Harrell-Davis Quantiles] [] [2016-08-12 14:26:51] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
425.25
417.75
410.25
395.25
546.75
539.25
425.25
349.50
357.00
357.00
364.50
380.25
334.50
288.75
251.25
251.25
395.25
410.25
296.25
167.25
235.50
235.50
288.75
319.50
312.00
235.50
273.75
258.75
387.75
357.00
235.50
144.75
228.00
251.25
273.75
303.75
243.00
190.50
213.00
220.50
417.75
417.75
303.75
288.75
334.50
312.00
372.75
448.50
463.50
357.00
327.00
296.25
501.75
516.75
478.50
516.75
509.25
448.50
516.75
592.50
623.25
531.75
471.00
516.75
714.00
774.75
759.75
789.75
782.25
706.50
835.50
866.25
911.25
774.75
721.50
782.25
927.00
1056.00
1025.25
1025.25
1040.25
987.75
1124.25
1124.25
1101.00
972.00
995.25
1010.25
1109.25
1238.25
1146.75
1192.50
1154.25
1131.75
1306.50
1268.25
1215.00
1139.25
1215.00
1253.25
1299.00
1359.75
1299.00
1336.50
1290.75
1283.25
1473.00
1488.75
1428.00
1321.50
1412.25
1450.50
1496.25
1564.50
1496.25
1549.50
1526.25
1443.00
1617.75
1617.75

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'Sir Maurice George Kendall' @ kendall.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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296436&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296436&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296436&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01161.11719131901823.4662897720248
0.02183.91472769214424.2184753679883
0.03202.99657247974520.540397698941
0.04216.57531584773715.4219818574364
0.05225.70587297492411.4380147964576
0.06232.0058908776289.36036103164454
0.07236.9005868738049.21220077706161
0.08241.40857283720710.4754794742883
0.09246.13674709024112.4185208794019
0.1251.35109817764914.4972616758896
0.11257.07778520373316.3470335523409
0.12263.19741018405217.7008356603246
0.13269.51807332175618.4066147298724
0.14275.83669114690718.4948013908061
0.15281.99429892563518.1865234472107
0.16287.91504568459917.8117748469242
0.17293.61543630992717.6776085799148
0.18299.18259222802117.9581418029625
0.19304.73420105863218.6592104140741
0.2310.37773275118719.6551114346208
0.21316.18222461175120.7573243356475
0.22322.16803837509721.7858938226404
0.23328.31318371586222.6164373468301
0.24334.57065926455823.2060479782052
0.25340.88949904524923.5965947282284
0.26347.23240819860723.8868374816622
0.27353.58491119041524.1876632635777
0.28359.9544581114424.5807305556943
0.29366.36186770348825.0860061851926
0.3372.83029415499725.6703477325138
0.31379.37738284783326.2801805612351
0.32386.0142626544426.8836561851946
0.33392.75150590967927.50263126762
0.34399.60881245401528.2144920095504
0.35406.62341906087529.1324460355482
0.36413.85277774055830.3631803133052
0.37421.36956823210431.9618114426206
0.38429.2505382300233.9068862152481
0.39437.56364699485736.1098190699802
0.4446.35937633837738.4518173488992
0.41455.67126751013840.8479534237489
0.42465.52784285340143.3016346129249
0.43475.97385208243545.947136894221
0.44487.09452273317749.0508373599113
0.45499.03367353180452.95548396976
0.46511.99644277085857.9751180068663
0.47526.23060147756464.2605142639804
0.48541.98653010104971.6991316628845
0.49559.46334671680679.8782677030993
0.5578.75494585084288.1483176933137
0.51599.81230828290395.7512769330548
0.52622.435745825399101.987132344473
0.53646.302874682285106.388986780723
0.54671.027212925122108.83034478708
0.55696.2319942226109.561884168851
0.56721.617918919427109.130025899573
0.57747.004658696308108.211131509284
0.58772.334076425618107.40137060606
0.59797.635711756281107.022715948433
0.6822.967663494849107.037216162804
0.61848.353934929015107.092921586536
0.62873.739613169489106.686921024352
0.63898.97785645889105.358048549993
0.64923.85052547357102.846611273698
0.65948.11226970880499.160930718528
0.66971.54072087534694.5566497563468
0.67993.97576812200789.4244095262665
0.681015.3379985305684.1734566650373
0.691035.6265558398179.12218770017
0.71054.9048761019574.477430568681
0.711073.2851337255170.3544971081464
0.721090.9180720666166.8525950075639
0.731107.9871087188964.0898128539899
0.741124.699200081862.1656874771448
0.751141.2642073095361.0912754394184
0.761157.8604385976860.686903133302
0.771174.5936826081160.5808821639827
0.781191.4651301822960.2822150575749
0.791208.3655836697359.3437479668518
0.81225.1078373141357.5127196953369
0.811241.4978276421654.8529587360345
0.821257.4312117902251.7887026506126
0.831272.9882463096349.0708218888463
0.841288.4892495364147.6074430721562
0.851304.4711308123948.1315474752505
0.861321.5611301896250.7401527431363
0.871340.2630891033654.6158326638776
0.881360.7260068668558.2189749819788
0.891382.6040578685759.8798097031482
0.91405.1024994323858.5015245568146
0.911427.2250747373154.0434405496548
0.921448.1437081019747.5381710575122
0.931467.5684409497740.7008512286101
0.941486.0034761873135.4723166330152
0.951504.7817527900133.374596121379
0.961525.8222890850234.3758444082486
0.971551.0040597266637.0342721069307
0.981580.0524024641537.8702799923711
0.991606.0728924690724.9441136636794

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 161.117191319018 & 23.4662897720248 \tabularnewline
0.02 & 183.914727692144 & 24.2184753679883 \tabularnewline
0.03 & 202.996572479745 & 20.540397698941 \tabularnewline
0.04 & 216.575315847737 & 15.4219818574364 \tabularnewline
0.05 & 225.705872974924 & 11.4380147964576 \tabularnewline
0.06 & 232.005890877628 & 9.36036103164454 \tabularnewline
0.07 & 236.900586873804 & 9.21220077706161 \tabularnewline
0.08 & 241.408572837207 & 10.4754794742883 \tabularnewline
0.09 & 246.136747090241 & 12.4185208794019 \tabularnewline
0.1 & 251.351098177649 & 14.4972616758896 \tabularnewline
0.11 & 257.077785203733 & 16.3470335523409 \tabularnewline
0.12 & 263.197410184052 & 17.7008356603246 \tabularnewline
0.13 & 269.518073321756 & 18.4066147298724 \tabularnewline
0.14 & 275.836691146907 & 18.4948013908061 \tabularnewline
0.15 & 281.994298925635 & 18.1865234472107 \tabularnewline
0.16 & 287.915045684599 & 17.8117748469242 \tabularnewline
0.17 & 293.615436309927 & 17.6776085799148 \tabularnewline
0.18 & 299.182592228021 & 17.9581418029625 \tabularnewline
0.19 & 304.734201058632 & 18.6592104140741 \tabularnewline
0.2 & 310.377732751187 & 19.6551114346208 \tabularnewline
0.21 & 316.182224611751 & 20.7573243356475 \tabularnewline
0.22 & 322.168038375097 & 21.7858938226404 \tabularnewline
0.23 & 328.313183715862 & 22.6164373468301 \tabularnewline
0.24 & 334.570659264558 & 23.2060479782052 \tabularnewline
0.25 & 340.889499045249 & 23.5965947282284 \tabularnewline
0.26 & 347.232408198607 & 23.8868374816622 \tabularnewline
0.27 & 353.584911190415 & 24.1876632635777 \tabularnewline
0.28 & 359.95445811144 & 24.5807305556943 \tabularnewline
0.29 & 366.361867703488 & 25.0860061851926 \tabularnewline
0.3 & 372.830294154997 & 25.6703477325138 \tabularnewline
0.31 & 379.377382847833 & 26.2801805612351 \tabularnewline
0.32 & 386.01426265444 & 26.8836561851946 \tabularnewline
0.33 & 392.751505909679 & 27.50263126762 \tabularnewline
0.34 & 399.608812454015 & 28.2144920095504 \tabularnewline
0.35 & 406.623419060875 & 29.1324460355482 \tabularnewline
0.36 & 413.852777740558 & 30.3631803133052 \tabularnewline
0.37 & 421.369568232104 & 31.9618114426206 \tabularnewline
0.38 & 429.25053823002 & 33.9068862152481 \tabularnewline
0.39 & 437.563646994857 & 36.1098190699802 \tabularnewline
0.4 & 446.359376338377 & 38.4518173488992 \tabularnewline
0.41 & 455.671267510138 & 40.8479534237489 \tabularnewline
0.42 & 465.527842853401 & 43.3016346129249 \tabularnewline
0.43 & 475.973852082435 & 45.947136894221 \tabularnewline
0.44 & 487.094522733177 & 49.0508373599113 \tabularnewline
0.45 & 499.033673531804 & 52.95548396976 \tabularnewline
0.46 & 511.996442770858 & 57.9751180068663 \tabularnewline
0.47 & 526.230601477564 & 64.2605142639804 \tabularnewline
0.48 & 541.986530101049 & 71.6991316628845 \tabularnewline
0.49 & 559.463346716806 & 79.8782677030993 \tabularnewline
0.5 & 578.754945850842 & 88.1483176933137 \tabularnewline
0.51 & 599.812308282903 & 95.7512769330548 \tabularnewline
0.52 & 622.435745825399 & 101.987132344473 \tabularnewline
0.53 & 646.302874682285 & 106.388986780723 \tabularnewline
0.54 & 671.027212925122 & 108.83034478708 \tabularnewline
0.55 & 696.2319942226 & 109.561884168851 \tabularnewline
0.56 & 721.617918919427 & 109.130025899573 \tabularnewline
0.57 & 747.004658696308 & 108.211131509284 \tabularnewline
0.58 & 772.334076425618 & 107.40137060606 \tabularnewline
0.59 & 797.635711756281 & 107.022715948433 \tabularnewline
0.6 & 822.967663494849 & 107.037216162804 \tabularnewline
0.61 & 848.353934929015 & 107.092921586536 \tabularnewline
0.62 & 873.739613169489 & 106.686921024352 \tabularnewline
0.63 & 898.97785645889 & 105.358048549993 \tabularnewline
0.64 & 923.85052547357 & 102.846611273698 \tabularnewline
0.65 & 948.112269708804 & 99.160930718528 \tabularnewline
0.66 & 971.540720875346 & 94.5566497563468 \tabularnewline
0.67 & 993.975768122007 & 89.4244095262665 \tabularnewline
0.68 & 1015.33799853056 & 84.1734566650373 \tabularnewline
0.69 & 1035.62655583981 & 79.12218770017 \tabularnewline
0.7 & 1054.90487610195 & 74.477430568681 \tabularnewline
0.71 & 1073.28513372551 & 70.3544971081464 \tabularnewline
0.72 & 1090.91807206661 & 66.8525950075639 \tabularnewline
0.73 & 1107.98710871889 & 64.0898128539899 \tabularnewline
0.74 & 1124.6992000818 & 62.1656874771448 \tabularnewline
0.75 & 1141.26420730953 & 61.0912754394184 \tabularnewline
0.76 & 1157.86043859768 & 60.686903133302 \tabularnewline
0.77 & 1174.59368260811 & 60.5808821639827 \tabularnewline
0.78 & 1191.46513018229 & 60.2822150575749 \tabularnewline
0.79 & 1208.36558366973 & 59.3437479668518 \tabularnewline
0.8 & 1225.10783731413 & 57.5127196953369 \tabularnewline
0.81 & 1241.49782764216 & 54.8529587360345 \tabularnewline
0.82 & 1257.43121179022 & 51.7887026506126 \tabularnewline
0.83 & 1272.98824630963 & 49.0708218888463 \tabularnewline
0.84 & 1288.48924953641 & 47.6074430721562 \tabularnewline
0.85 & 1304.47113081239 & 48.1315474752505 \tabularnewline
0.86 & 1321.56113018962 & 50.7401527431363 \tabularnewline
0.87 & 1340.26308910336 & 54.6158326638776 \tabularnewline
0.88 & 1360.72600686685 & 58.2189749819788 \tabularnewline
0.89 & 1382.60405786857 & 59.8798097031482 \tabularnewline
0.9 & 1405.10249943238 & 58.5015245568146 \tabularnewline
0.91 & 1427.22507473731 & 54.0434405496548 \tabularnewline
0.92 & 1448.14370810197 & 47.5381710575122 \tabularnewline
0.93 & 1467.56844094977 & 40.7008512286101 \tabularnewline
0.94 & 1486.00347618731 & 35.4723166330152 \tabularnewline
0.95 & 1504.78175279001 & 33.374596121379 \tabularnewline
0.96 & 1525.82228908502 & 34.3758444082486 \tabularnewline
0.97 & 1551.00405972666 & 37.0342721069307 \tabularnewline
0.98 & 1580.05240246415 & 37.8702799923711 \tabularnewline
0.99 & 1606.07289246907 & 24.9441136636794 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296436&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]161.117191319018[/C][C]23.4662897720248[/C][/ROW]
[ROW][C]0.02[/C][C]183.914727692144[/C][C]24.2184753679883[/C][/ROW]
[ROW][C]0.03[/C][C]202.996572479745[/C][C]20.540397698941[/C][/ROW]
[ROW][C]0.04[/C][C]216.575315847737[/C][C]15.4219818574364[/C][/ROW]
[ROW][C]0.05[/C][C]225.705872974924[/C][C]11.4380147964576[/C][/ROW]
[ROW][C]0.06[/C][C]232.005890877628[/C][C]9.36036103164454[/C][/ROW]
[ROW][C]0.07[/C][C]236.900586873804[/C][C]9.21220077706161[/C][/ROW]
[ROW][C]0.08[/C][C]241.408572837207[/C][C]10.4754794742883[/C][/ROW]
[ROW][C]0.09[/C][C]246.136747090241[/C][C]12.4185208794019[/C][/ROW]
[ROW][C]0.1[/C][C]251.351098177649[/C][C]14.4972616758896[/C][/ROW]
[ROW][C]0.11[/C][C]257.077785203733[/C][C]16.3470335523409[/C][/ROW]
[ROW][C]0.12[/C][C]263.197410184052[/C][C]17.7008356603246[/C][/ROW]
[ROW][C]0.13[/C][C]269.518073321756[/C][C]18.4066147298724[/C][/ROW]
[ROW][C]0.14[/C][C]275.836691146907[/C][C]18.4948013908061[/C][/ROW]
[ROW][C]0.15[/C][C]281.994298925635[/C][C]18.1865234472107[/C][/ROW]
[ROW][C]0.16[/C][C]287.915045684599[/C][C]17.8117748469242[/C][/ROW]
[ROW][C]0.17[/C][C]293.615436309927[/C][C]17.6776085799148[/C][/ROW]
[ROW][C]0.18[/C][C]299.182592228021[/C][C]17.9581418029625[/C][/ROW]
[ROW][C]0.19[/C][C]304.734201058632[/C][C]18.6592104140741[/C][/ROW]
[ROW][C]0.2[/C][C]310.377732751187[/C][C]19.6551114346208[/C][/ROW]
[ROW][C]0.21[/C][C]316.182224611751[/C][C]20.7573243356475[/C][/ROW]
[ROW][C]0.22[/C][C]322.168038375097[/C][C]21.7858938226404[/C][/ROW]
[ROW][C]0.23[/C][C]328.313183715862[/C][C]22.6164373468301[/C][/ROW]
[ROW][C]0.24[/C][C]334.570659264558[/C][C]23.2060479782052[/C][/ROW]
[ROW][C]0.25[/C][C]340.889499045249[/C][C]23.5965947282284[/C][/ROW]
[ROW][C]0.26[/C][C]347.232408198607[/C][C]23.8868374816622[/C][/ROW]
[ROW][C]0.27[/C][C]353.584911190415[/C][C]24.1876632635777[/C][/ROW]
[ROW][C]0.28[/C][C]359.95445811144[/C][C]24.5807305556943[/C][/ROW]
[ROW][C]0.29[/C][C]366.361867703488[/C][C]25.0860061851926[/C][/ROW]
[ROW][C]0.3[/C][C]372.830294154997[/C][C]25.6703477325138[/C][/ROW]
[ROW][C]0.31[/C][C]379.377382847833[/C][C]26.2801805612351[/C][/ROW]
[ROW][C]0.32[/C][C]386.01426265444[/C][C]26.8836561851946[/C][/ROW]
[ROW][C]0.33[/C][C]392.751505909679[/C][C]27.50263126762[/C][/ROW]
[ROW][C]0.34[/C][C]399.608812454015[/C][C]28.2144920095504[/C][/ROW]
[ROW][C]0.35[/C][C]406.623419060875[/C][C]29.1324460355482[/C][/ROW]
[ROW][C]0.36[/C][C]413.852777740558[/C][C]30.3631803133052[/C][/ROW]
[ROW][C]0.37[/C][C]421.369568232104[/C][C]31.9618114426206[/C][/ROW]
[ROW][C]0.38[/C][C]429.25053823002[/C][C]33.9068862152481[/C][/ROW]
[ROW][C]0.39[/C][C]437.563646994857[/C][C]36.1098190699802[/C][/ROW]
[ROW][C]0.4[/C][C]446.359376338377[/C][C]38.4518173488992[/C][/ROW]
[ROW][C]0.41[/C][C]455.671267510138[/C][C]40.8479534237489[/C][/ROW]
[ROW][C]0.42[/C][C]465.527842853401[/C][C]43.3016346129249[/C][/ROW]
[ROW][C]0.43[/C][C]475.973852082435[/C][C]45.947136894221[/C][/ROW]
[ROW][C]0.44[/C][C]487.094522733177[/C][C]49.0508373599113[/C][/ROW]
[ROW][C]0.45[/C][C]499.033673531804[/C][C]52.95548396976[/C][/ROW]
[ROW][C]0.46[/C][C]511.996442770858[/C][C]57.9751180068663[/C][/ROW]
[ROW][C]0.47[/C][C]526.230601477564[/C][C]64.2605142639804[/C][/ROW]
[ROW][C]0.48[/C][C]541.986530101049[/C][C]71.6991316628845[/C][/ROW]
[ROW][C]0.49[/C][C]559.463346716806[/C][C]79.8782677030993[/C][/ROW]
[ROW][C]0.5[/C][C]578.754945850842[/C][C]88.1483176933137[/C][/ROW]
[ROW][C]0.51[/C][C]599.812308282903[/C][C]95.7512769330548[/C][/ROW]
[ROW][C]0.52[/C][C]622.435745825399[/C][C]101.987132344473[/C][/ROW]
[ROW][C]0.53[/C][C]646.302874682285[/C][C]106.388986780723[/C][/ROW]
[ROW][C]0.54[/C][C]671.027212925122[/C][C]108.83034478708[/C][/ROW]
[ROW][C]0.55[/C][C]696.2319942226[/C][C]109.561884168851[/C][/ROW]
[ROW][C]0.56[/C][C]721.617918919427[/C][C]109.130025899573[/C][/ROW]
[ROW][C]0.57[/C][C]747.004658696308[/C][C]108.211131509284[/C][/ROW]
[ROW][C]0.58[/C][C]772.334076425618[/C][C]107.40137060606[/C][/ROW]
[ROW][C]0.59[/C][C]797.635711756281[/C][C]107.022715948433[/C][/ROW]
[ROW][C]0.6[/C][C]822.967663494849[/C][C]107.037216162804[/C][/ROW]
[ROW][C]0.61[/C][C]848.353934929015[/C][C]107.092921586536[/C][/ROW]
[ROW][C]0.62[/C][C]873.739613169489[/C][C]106.686921024352[/C][/ROW]
[ROW][C]0.63[/C][C]898.97785645889[/C][C]105.358048549993[/C][/ROW]
[ROW][C]0.64[/C][C]923.85052547357[/C][C]102.846611273698[/C][/ROW]
[ROW][C]0.65[/C][C]948.112269708804[/C][C]99.160930718528[/C][/ROW]
[ROW][C]0.66[/C][C]971.540720875346[/C][C]94.5566497563468[/C][/ROW]
[ROW][C]0.67[/C][C]993.975768122007[/C][C]89.4244095262665[/C][/ROW]
[ROW][C]0.68[/C][C]1015.33799853056[/C][C]84.1734566650373[/C][/ROW]
[ROW][C]0.69[/C][C]1035.62655583981[/C][C]79.12218770017[/C][/ROW]
[ROW][C]0.7[/C][C]1054.90487610195[/C][C]74.477430568681[/C][/ROW]
[ROW][C]0.71[/C][C]1073.28513372551[/C][C]70.3544971081464[/C][/ROW]
[ROW][C]0.72[/C][C]1090.91807206661[/C][C]66.8525950075639[/C][/ROW]
[ROW][C]0.73[/C][C]1107.98710871889[/C][C]64.0898128539899[/C][/ROW]
[ROW][C]0.74[/C][C]1124.6992000818[/C][C]62.1656874771448[/C][/ROW]
[ROW][C]0.75[/C][C]1141.26420730953[/C][C]61.0912754394184[/C][/ROW]
[ROW][C]0.76[/C][C]1157.86043859768[/C][C]60.686903133302[/C][/ROW]
[ROW][C]0.77[/C][C]1174.59368260811[/C][C]60.5808821639827[/C][/ROW]
[ROW][C]0.78[/C][C]1191.46513018229[/C][C]60.2822150575749[/C][/ROW]
[ROW][C]0.79[/C][C]1208.36558366973[/C][C]59.3437479668518[/C][/ROW]
[ROW][C]0.8[/C][C]1225.10783731413[/C][C]57.5127196953369[/C][/ROW]
[ROW][C]0.81[/C][C]1241.49782764216[/C][C]54.8529587360345[/C][/ROW]
[ROW][C]0.82[/C][C]1257.43121179022[/C][C]51.7887026506126[/C][/ROW]
[ROW][C]0.83[/C][C]1272.98824630963[/C][C]49.0708218888463[/C][/ROW]
[ROW][C]0.84[/C][C]1288.48924953641[/C][C]47.6074430721562[/C][/ROW]
[ROW][C]0.85[/C][C]1304.47113081239[/C][C]48.1315474752505[/C][/ROW]
[ROW][C]0.86[/C][C]1321.56113018962[/C][C]50.7401527431363[/C][/ROW]
[ROW][C]0.87[/C][C]1340.26308910336[/C][C]54.6158326638776[/C][/ROW]
[ROW][C]0.88[/C][C]1360.72600686685[/C][C]58.2189749819788[/C][/ROW]
[ROW][C]0.89[/C][C]1382.60405786857[/C][C]59.8798097031482[/C][/ROW]
[ROW][C]0.9[/C][C]1405.10249943238[/C][C]58.5015245568146[/C][/ROW]
[ROW][C]0.91[/C][C]1427.22507473731[/C][C]54.0434405496548[/C][/ROW]
[ROW][C]0.92[/C][C]1448.14370810197[/C][C]47.5381710575122[/C][/ROW]
[ROW][C]0.93[/C][C]1467.56844094977[/C][C]40.7008512286101[/C][/ROW]
[ROW][C]0.94[/C][C]1486.00347618731[/C][C]35.4723166330152[/C][/ROW]
[ROW][C]0.95[/C][C]1504.78175279001[/C][C]33.374596121379[/C][/ROW]
[ROW][C]0.96[/C][C]1525.82228908502[/C][C]34.3758444082486[/C][/ROW]
[ROW][C]0.97[/C][C]1551.00405972666[/C][C]37.0342721069307[/C][/ROW]
[ROW][C]0.98[/C][C]1580.05240246415[/C][C]37.8702799923711[/C][/ROW]
[ROW][C]0.99[/C][C]1606.07289246907[/C][C]24.9441136636794[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296436&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296436&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
0.01161.11719131901823.4662897720248
0.02183.91472769214424.2184753679883
0.03202.99657247974520.540397698941
0.04216.57531584773715.4219818574364
0.05225.70587297492411.4380147964576
0.06232.0058908776289.36036103164454
0.07236.9005868738049.21220077706161
0.08241.40857283720710.4754794742883
0.09246.13674709024112.4185208794019
0.1251.35109817764914.4972616758896
0.11257.07778520373316.3470335523409
0.12263.19741018405217.7008356603246
0.13269.51807332175618.4066147298724
0.14275.83669114690718.4948013908061
0.15281.99429892563518.1865234472107
0.16287.91504568459917.8117748469242
0.17293.61543630992717.6776085799148
0.18299.18259222802117.9581418029625
0.19304.73420105863218.6592104140741
0.2310.37773275118719.6551114346208
0.21316.18222461175120.7573243356475
0.22322.16803837509721.7858938226404
0.23328.31318371586222.6164373468301
0.24334.57065926455823.2060479782052
0.25340.88949904524923.5965947282284
0.26347.23240819860723.8868374816622
0.27353.58491119041524.1876632635777
0.28359.9544581114424.5807305556943
0.29366.36186770348825.0860061851926
0.3372.83029415499725.6703477325138
0.31379.37738284783326.2801805612351
0.32386.0142626544426.8836561851946
0.33392.75150590967927.50263126762
0.34399.60881245401528.2144920095504
0.35406.62341906087529.1324460355482
0.36413.85277774055830.3631803133052
0.37421.36956823210431.9618114426206
0.38429.2505382300233.9068862152481
0.39437.56364699485736.1098190699802
0.4446.35937633837738.4518173488992
0.41455.67126751013840.8479534237489
0.42465.52784285340143.3016346129249
0.43475.97385208243545.947136894221
0.44487.09452273317749.0508373599113
0.45499.03367353180452.95548396976
0.46511.99644277085857.9751180068663
0.47526.23060147756464.2605142639804
0.48541.98653010104971.6991316628845
0.49559.46334671680679.8782677030993
0.5578.75494585084288.1483176933137
0.51599.81230828290395.7512769330548
0.52622.435745825399101.987132344473
0.53646.302874682285106.388986780723
0.54671.027212925122108.83034478708
0.55696.2319942226109.561884168851
0.56721.617918919427109.130025899573
0.57747.004658696308108.211131509284
0.58772.334076425618107.40137060606
0.59797.635711756281107.022715948433
0.6822.967663494849107.037216162804
0.61848.353934929015107.092921586536
0.62873.739613169489106.686921024352
0.63898.97785645889105.358048549993
0.64923.85052547357102.846611273698
0.65948.11226970880499.160930718528
0.66971.54072087534694.5566497563468
0.67993.97576812200789.4244095262665
0.681015.3379985305684.1734566650373
0.691035.6265558398179.12218770017
0.71054.9048761019574.477430568681
0.711073.2851337255170.3544971081464
0.721090.9180720666166.8525950075639
0.731107.9871087188964.0898128539899
0.741124.699200081862.1656874771448
0.751141.2642073095361.0912754394184
0.761157.8604385976860.686903133302
0.771174.5936826081160.5808821639827
0.781191.4651301822960.2822150575749
0.791208.3655836697359.3437479668518
0.81225.1078373141357.5127196953369
0.811241.4978276421654.8529587360345
0.821257.4312117902251.7887026506126
0.831272.9882463096349.0708218888463
0.841288.4892495364147.6074430721562
0.851304.4711308123948.1315474752505
0.861321.5611301896250.7401527431363
0.871340.2630891033654.6158326638776
0.881360.7260068668558.2189749819788
0.891382.6040578685759.8798097031482
0.91405.1024994323858.5015245568146
0.911427.2250747373154.0434405496548
0.921448.1437081019747.5381710575122
0.931467.5684409497740.7008512286101
0.941486.0034761873135.4723166330152
0.951504.7817527900133.374596121379
0.961525.8222890850234.3758444082486
0.971551.0040597266637.0342721069307
0.981580.0524024641537.8702799923711
0.991606.0728924690724.9441136636794


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')