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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, 02 Mar 2012 09:46:53 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Mar/02/t1330699709zqfwekkuitylgj4.htm/, Retrieved Sun, 28 Apr 2024 18:04:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163429, Retrieved Sun, 28 Apr 2024 18:04:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148

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] [] [2012-03-02 14:46:53] [0557341c9fb01f967ad344d41189c66a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12 693,7
13154
15405,1
13869,4
12827,7
15716,7
13012,5
12837,6
15052,7
15002,6
14839,6
15022,6
14097,8
14776,8
16833,3
15385,5
15172,6
16858,9
14143,5
14731,8
16471,6
15214
17637,4
17972,4
16896,2
16698
19691,6
15930,7
17444,6
17699,4
15189,8
15672,7
17180,8
17664,9
17862,9
16162,3
17463,6
16772,1
19106,9
16721,3
18161,3
18509,9
17802,7
16409,9
17967,7
20286,6
19537,3
18021,9
20194,3
19049,6
20244,7
21473,3
19673,6
21053,2
20159,5
18203,6
21289,5
20432,3
17180,4
15816,8
15076,6
14531,6
15761,3
14345,5
13916,8
15496,8
14285,6
13597,3
16263,1
16773,3
15986,9
16842,6
15911,9
15782,9
18622,8
17422,5
16989,8
18990,5
16849,3
16511,3
18704,5
19111,1
19420,7
18985,1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163429&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163429&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163429&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112744.8175093873116.304824012231
0.0212828.4955531839143.358283953983
0.0312934.5080087373223.423892051208
0.0413065.229197885314.445934581384
0.0513219.4124763023384.859215659107
0.0613387.6669002595420.092308318705
0.0713557.3864114908421.350981600261
0.0813718.2537676824400.582661551251
0.0913864.8368042986372.863422577305
0.113996.4016162432349.715097571414
0.1114115.2033422258336.010511217985
0.1214224.5157689687330.71866672544
0.1314327.1892414733329.739357640822
0.1414424.9783317755328.657662617063
0.1514518.5082827962324.377262812185
0.1614607.6093289203315.554700029148
0.1714691.7671707474302.533107213211
0.1814770.520966341286.730743787208
0.1914843.7264217288270.291163564268
0.214911.6665645172255.371129775377
0.2114975.0324878241243.797736252452
0.2215034.8146763387236.767038929204
0.2315092.1488413034234.703831952442
0.2415148.1548862827237.13438121797
0.2515203.7986359186243.053702423872
0.2615259.7961185243250.98112415128
0.2715316.5705663124259.483006895992
0.2815374.2631115626267.289408750917
0.2915432.7896753003273.584126121089
0.315491.9294646743278.019014711882
0.3115551.4258412602280.865204393911
0.3215611.0790418763282.726852364457
0.3315670.8127530423284.586023954282
0.3415730.7024882052287.396958519394
0.3515790.9619090734291.886595733137
0.3615851.8919265493298.405162533025
0.3715913.8047518889306.685274582586
0.3815976.9395471628316.035330927375
0.3916041.3871818282325.308565484106
0.416107.0389555656333.243671622043
0.4116173.5688846262338.591545973467
0.4216240.4526206227340.396880546288
0.4316307.0196954809338.01199346035
0.4416372.530698629331.28848974059
0.4516436.2678332449320.622490834798
0.4616497.6261861026306.823935975796
0.4716556.193702973291.090945094312
0.4816611.8098225761274.932582624701
0.4916664.5955292817259.900242999818
0.516714.9509047601247.609538369302
0.5116763.5198863441239.421709588868
0.5216811.1257110355236.258605734763
0.5316858.6841973516238.423425071058
0.5416907.1051941804245.531367814119
0.5516957.194665998256.655987181859
0.5617009.5704273717270.32777624923
0.5717064.6031034285284.955126389165
0.5817122.3904654191298.916174896095
0.5917182.7683398435310.906763963595
0.617245.3557201303319.925337688266
0.6117309.6266545658325.439829536271
0.6217374.9979857803327.474618025528
0.6317440.9207027865326.472475644196
0.6417506.9635388795323.263291048741
0.6517572.8798866581318.957629072004
0.6617638.6520949344314.803151275714
0.6717704.5097645712312.076852918822
0.6817770.9202160029311.94723195718
0.6917838.5500258327315.357105862087
0.717908.1972969196322.817390109942
0.7117980.6963628218334.2928619211
0.7218056.8009014249349.078623758909
0.7318137.0579908737365.841710649683
0.7418221.6931709642382.687043467349
0.7518310.5324340845397.445850003809
0.7618402.9879145117408.049100975904
0.7718498.1269737662412.907286946867
0.7818594.8283696714411.374533163061
0.7918692.0063591248403.921632817989
0.818788.8596355016392.281111266173
0.8118885.0852659927379.146952006033
0.8218980.9963480616367.623231661472
0.8319077.4995925602360.398990993219
0.8419175.9212534948358.994298980966
0.8519277.7053450746363.151732277787
0.8619384.0353739216370.920708201528
0.8719495.4493640542379.108448961375
0.8819611.5441143919383.875724943757
0.8919730.9191631649381.313567386026
0.919851.5833322925368.649356816262
0.9119972.0527228574346.37332617216
0.9220093.1440181671320.878867285042
0.9320219.856357371306.290674179476
0.9420361.8371254782319.985393807594
0.9520530.442794276364.792104285845
0.9620731.670221506413.172147097379
0.9720957.8694912597417.775766965688
0.9821184.035558694347.892297923719
0.9921370.7630208836238.165182514559

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12744.8175093873 & 116.304824012231 \tabularnewline
0.02 & 12828.4955531839 & 143.358283953983 \tabularnewline
0.03 & 12934.5080087373 & 223.423892051208 \tabularnewline
0.04 & 13065.229197885 & 314.445934581384 \tabularnewline
0.05 & 13219.4124763023 & 384.859215659107 \tabularnewline
0.06 & 13387.6669002595 & 420.092308318705 \tabularnewline
0.07 & 13557.3864114908 & 421.350981600261 \tabularnewline
0.08 & 13718.2537676824 & 400.582661551251 \tabularnewline
0.09 & 13864.8368042986 & 372.863422577305 \tabularnewline
0.1 & 13996.4016162432 & 349.715097571414 \tabularnewline
0.11 & 14115.2033422258 & 336.010511217985 \tabularnewline
0.12 & 14224.5157689687 & 330.71866672544 \tabularnewline
0.13 & 14327.1892414733 & 329.739357640822 \tabularnewline
0.14 & 14424.9783317755 & 328.657662617063 \tabularnewline
0.15 & 14518.5082827962 & 324.377262812185 \tabularnewline
0.16 & 14607.6093289203 & 315.554700029148 \tabularnewline
0.17 & 14691.7671707474 & 302.533107213211 \tabularnewline
0.18 & 14770.520966341 & 286.730743787208 \tabularnewline
0.19 & 14843.7264217288 & 270.291163564268 \tabularnewline
0.2 & 14911.6665645172 & 255.371129775377 \tabularnewline
0.21 & 14975.0324878241 & 243.797736252452 \tabularnewline
0.22 & 15034.8146763387 & 236.767038929204 \tabularnewline
0.23 & 15092.1488413034 & 234.703831952442 \tabularnewline
0.24 & 15148.1548862827 & 237.13438121797 \tabularnewline
0.25 & 15203.7986359186 & 243.053702423872 \tabularnewline
0.26 & 15259.7961185243 & 250.98112415128 \tabularnewline
0.27 & 15316.5705663124 & 259.483006895992 \tabularnewline
0.28 & 15374.2631115626 & 267.289408750917 \tabularnewline
0.29 & 15432.7896753003 & 273.584126121089 \tabularnewline
0.3 & 15491.9294646743 & 278.019014711882 \tabularnewline
0.31 & 15551.4258412602 & 280.865204393911 \tabularnewline
0.32 & 15611.0790418763 & 282.726852364457 \tabularnewline
0.33 & 15670.8127530423 & 284.586023954282 \tabularnewline
0.34 & 15730.7024882052 & 287.396958519394 \tabularnewline
0.35 & 15790.9619090734 & 291.886595733137 \tabularnewline
0.36 & 15851.8919265493 & 298.405162533025 \tabularnewline
0.37 & 15913.8047518889 & 306.685274582586 \tabularnewline
0.38 & 15976.9395471628 & 316.035330927375 \tabularnewline
0.39 & 16041.3871818282 & 325.308565484106 \tabularnewline
0.4 & 16107.0389555656 & 333.243671622043 \tabularnewline
0.41 & 16173.5688846262 & 338.591545973467 \tabularnewline
0.42 & 16240.4526206227 & 340.396880546288 \tabularnewline
0.43 & 16307.0196954809 & 338.01199346035 \tabularnewline
0.44 & 16372.530698629 & 331.28848974059 \tabularnewline
0.45 & 16436.2678332449 & 320.622490834798 \tabularnewline
0.46 & 16497.6261861026 & 306.823935975796 \tabularnewline
0.47 & 16556.193702973 & 291.090945094312 \tabularnewline
0.48 & 16611.8098225761 & 274.932582624701 \tabularnewline
0.49 & 16664.5955292817 & 259.900242999818 \tabularnewline
0.5 & 16714.9509047601 & 247.609538369302 \tabularnewline
0.51 & 16763.5198863441 & 239.421709588868 \tabularnewline
0.52 & 16811.1257110355 & 236.258605734763 \tabularnewline
0.53 & 16858.6841973516 & 238.423425071058 \tabularnewline
0.54 & 16907.1051941804 & 245.531367814119 \tabularnewline
0.55 & 16957.194665998 & 256.655987181859 \tabularnewline
0.56 & 17009.5704273717 & 270.32777624923 \tabularnewline
0.57 & 17064.6031034285 & 284.955126389165 \tabularnewline
0.58 & 17122.3904654191 & 298.916174896095 \tabularnewline
0.59 & 17182.7683398435 & 310.906763963595 \tabularnewline
0.6 & 17245.3557201303 & 319.925337688266 \tabularnewline
0.61 & 17309.6266545658 & 325.439829536271 \tabularnewline
0.62 & 17374.9979857803 & 327.474618025528 \tabularnewline
0.63 & 17440.9207027865 & 326.472475644196 \tabularnewline
0.64 & 17506.9635388795 & 323.263291048741 \tabularnewline
0.65 & 17572.8798866581 & 318.957629072004 \tabularnewline
0.66 & 17638.6520949344 & 314.803151275714 \tabularnewline
0.67 & 17704.5097645712 & 312.076852918822 \tabularnewline
0.68 & 17770.9202160029 & 311.94723195718 \tabularnewline
0.69 & 17838.5500258327 & 315.357105862087 \tabularnewline
0.7 & 17908.1972969196 & 322.817390109942 \tabularnewline
0.71 & 17980.6963628218 & 334.2928619211 \tabularnewline
0.72 & 18056.8009014249 & 349.078623758909 \tabularnewline
0.73 & 18137.0579908737 & 365.841710649683 \tabularnewline
0.74 & 18221.6931709642 & 382.687043467349 \tabularnewline
0.75 & 18310.5324340845 & 397.445850003809 \tabularnewline
0.76 & 18402.9879145117 & 408.049100975904 \tabularnewline
0.77 & 18498.1269737662 & 412.907286946867 \tabularnewline
0.78 & 18594.8283696714 & 411.374533163061 \tabularnewline
0.79 & 18692.0063591248 & 403.921632817989 \tabularnewline
0.8 & 18788.8596355016 & 392.281111266173 \tabularnewline
0.81 & 18885.0852659927 & 379.146952006033 \tabularnewline
0.82 & 18980.9963480616 & 367.623231661472 \tabularnewline
0.83 & 19077.4995925602 & 360.398990993219 \tabularnewline
0.84 & 19175.9212534948 & 358.994298980966 \tabularnewline
0.85 & 19277.7053450746 & 363.151732277787 \tabularnewline
0.86 & 19384.0353739216 & 370.920708201528 \tabularnewline
0.87 & 19495.4493640542 & 379.108448961375 \tabularnewline
0.88 & 19611.5441143919 & 383.875724943757 \tabularnewline
0.89 & 19730.9191631649 & 381.313567386026 \tabularnewline
0.9 & 19851.5833322925 & 368.649356816262 \tabularnewline
0.91 & 19972.0527228574 & 346.37332617216 \tabularnewline
0.92 & 20093.1440181671 & 320.878867285042 \tabularnewline
0.93 & 20219.856357371 & 306.290674179476 \tabularnewline
0.94 & 20361.8371254782 & 319.985393807594 \tabularnewline
0.95 & 20530.442794276 & 364.792104285845 \tabularnewline
0.96 & 20731.670221506 & 413.172147097379 \tabularnewline
0.97 & 20957.8694912597 & 417.775766965688 \tabularnewline
0.98 & 21184.035558694 & 347.892297923719 \tabularnewline
0.99 & 21370.7630208836 & 238.165182514559 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163429&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]12744.8175093873[/C][C]116.304824012231[/C][/ROW]
[ROW][C]0.02[/C][C]12828.4955531839[/C][C]143.358283953983[/C][/ROW]
[ROW][C]0.03[/C][C]12934.5080087373[/C][C]223.423892051208[/C][/ROW]
[ROW][C]0.04[/C][C]13065.229197885[/C][C]314.445934581384[/C][/ROW]
[ROW][C]0.05[/C][C]13219.4124763023[/C][C]384.859215659107[/C][/ROW]
[ROW][C]0.06[/C][C]13387.6669002595[/C][C]420.092308318705[/C][/ROW]
[ROW][C]0.07[/C][C]13557.3864114908[/C][C]421.350981600261[/C][/ROW]
[ROW][C]0.08[/C][C]13718.2537676824[/C][C]400.582661551251[/C][/ROW]
[ROW][C]0.09[/C][C]13864.8368042986[/C][C]372.863422577305[/C][/ROW]
[ROW][C]0.1[/C][C]13996.4016162432[/C][C]349.715097571414[/C][/ROW]
[ROW][C]0.11[/C][C]14115.2033422258[/C][C]336.010511217985[/C][/ROW]
[ROW][C]0.12[/C][C]14224.5157689687[/C][C]330.71866672544[/C][/ROW]
[ROW][C]0.13[/C][C]14327.1892414733[/C][C]329.739357640822[/C][/ROW]
[ROW][C]0.14[/C][C]14424.9783317755[/C][C]328.657662617063[/C][/ROW]
[ROW][C]0.15[/C][C]14518.5082827962[/C][C]324.377262812185[/C][/ROW]
[ROW][C]0.16[/C][C]14607.6093289203[/C][C]315.554700029148[/C][/ROW]
[ROW][C]0.17[/C][C]14691.7671707474[/C][C]302.533107213211[/C][/ROW]
[ROW][C]0.18[/C][C]14770.520966341[/C][C]286.730743787208[/C][/ROW]
[ROW][C]0.19[/C][C]14843.7264217288[/C][C]270.291163564268[/C][/ROW]
[ROW][C]0.2[/C][C]14911.6665645172[/C][C]255.371129775377[/C][/ROW]
[ROW][C]0.21[/C][C]14975.0324878241[/C][C]243.797736252452[/C][/ROW]
[ROW][C]0.22[/C][C]15034.8146763387[/C][C]236.767038929204[/C][/ROW]
[ROW][C]0.23[/C][C]15092.1488413034[/C][C]234.703831952442[/C][/ROW]
[ROW][C]0.24[/C][C]15148.1548862827[/C][C]237.13438121797[/C][/ROW]
[ROW][C]0.25[/C][C]15203.7986359186[/C][C]243.053702423872[/C][/ROW]
[ROW][C]0.26[/C][C]15259.7961185243[/C][C]250.98112415128[/C][/ROW]
[ROW][C]0.27[/C][C]15316.5705663124[/C][C]259.483006895992[/C][/ROW]
[ROW][C]0.28[/C][C]15374.2631115626[/C][C]267.289408750917[/C][/ROW]
[ROW][C]0.29[/C][C]15432.7896753003[/C][C]273.584126121089[/C][/ROW]
[ROW][C]0.3[/C][C]15491.9294646743[/C][C]278.019014711882[/C][/ROW]
[ROW][C]0.31[/C][C]15551.4258412602[/C][C]280.865204393911[/C][/ROW]
[ROW][C]0.32[/C][C]15611.0790418763[/C][C]282.726852364457[/C][/ROW]
[ROW][C]0.33[/C][C]15670.8127530423[/C][C]284.586023954282[/C][/ROW]
[ROW][C]0.34[/C][C]15730.7024882052[/C][C]287.396958519394[/C][/ROW]
[ROW][C]0.35[/C][C]15790.9619090734[/C][C]291.886595733137[/C][/ROW]
[ROW][C]0.36[/C][C]15851.8919265493[/C][C]298.405162533025[/C][/ROW]
[ROW][C]0.37[/C][C]15913.8047518889[/C][C]306.685274582586[/C][/ROW]
[ROW][C]0.38[/C][C]15976.9395471628[/C][C]316.035330927375[/C][/ROW]
[ROW][C]0.39[/C][C]16041.3871818282[/C][C]325.308565484106[/C][/ROW]
[ROW][C]0.4[/C][C]16107.0389555656[/C][C]333.243671622043[/C][/ROW]
[ROW][C]0.41[/C][C]16173.5688846262[/C][C]338.591545973467[/C][/ROW]
[ROW][C]0.42[/C][C]16240.4526206227[/C][C]340.396880546288[/C][/ROW]
[ROW][C]0.43[/C][C]16307.0196954809[/C][C]338.01199346035[/C][/ROW]
[ROW][C]0.44[/C][C]16372.530698629[/C][C]331.28848974059[/C][/ROW]
[ROW][C]0.45[/C][C]16436.2678332449[/C][C]320.622490834798[/C][/ROW]
[ROW][C]0.46[/C][C]16497.6261861026[/C][C]306.823935975796[/C][/ROW]
[ROW][C]0.47[/C][C]16556.193702973[/C][C]291.090945094312[/C][/ROW]
[ROW][C]0.48[/C][C]16611.8098225761[/C][C]274.932582624701[/C][/ROW]
[ROW][C]0.49[/C][C]16664.5955292817[/C][C]259.900242999818[/C][/ROW]
[ROW][C]0.5[/C][C]16714.9509047601[/C][C]247.609538369302[/C][/ROW]
[ROW][C]0.51[/C][C]16763.5198863441[/C][C]239.421709588868[/C][/ROW]
[ROW][C]0.52[/C][C]16811.1257110355[/C][C]236.258605734763[/C][/ROW]
[ROW][C]0.53[/C][C]16858.6841973516[/C][C]238.423425071058[/C][/ROW]
[ROW][C]0.54[/C][C]16907.1051941804[/C][C]245.531367814119[/C][/ROW]
[ROW][C]0.55[/C][C]16957.194665998[/C][C]256.655987181859[/C][/ROW]
[ROW][C]0.56[/C][C]17009.5704273717[/C][C]270.32777624923[/C][/ROW]
[ROW][C]0.57[/C][C]17064.6031034285[/C][C]284.955126389165[/C][/ROW]
[ROW][C]0.58[/C][C]17122.3904654191[/C][C]298.916174896095[/C][/ROW]
[ROW][C]0.59[/C][C]17182.7683398435[/C][C]310.906763963595[/C][/ROW]
[ROW][C]0.6[/C][C]17245.3557201303[/C][C]319.925337688266[/C][/ROW]
[ROW][C]0.61[/C][C]17309.6266545658[/C][C]325.439829536271[/C][/ROW]
[ROW][C]0.62[/C][C]17374.9979857803[/C][C]327.474618025528[/C][/ROW]
[ROW][C]0.63[/C][C]17440.9207027865[/C][C]326.472475644196[/C][/ROW]
[ROW][C]0.64[/C][C]17506.9635388795[/C][C]323.263291048741[/C][/ROW]
[ROW][C]0.65[/C][C]17572.8798866581[/C][C]318.957629072004[/C][/ROW]
[ROW][C]0.66[/C][C]17638.6520949344[/C][C]314.803151275714[/C][/ROW]
[ROW][C]0.67[/C][C]17704.5097645712[/C][C]312.076852918822[/C][/ROW]
[ROW][C]0.68[/C][C]17770.9202160029[/C][C]311.94723195718[/C][/ROW]
[ROW][C]0.69[/C][C]17838.5500258327[/C][C]315.357105862087[/C][/ROW]
[ROW][C]0.7[/C][C]17908.1972969196[/C][C]322.817390109942[/C][/ROW]
[ROW][C]0.71[/C][C]17980.6963628218[/C][C]334.2928619211[/C][/ROW]
[ROW][C]0.72[/C][C]18056.8009014249[/C][C]349.078623758909[/C][/ROW]
[ROW][C]0.73[/C][C]18137.0579908737[/C][C]365.841710649683[/C][/ROW]
[ROW][C]0.74[/C][C]18221.6931709642[/C][C]382.687043467349[/C][/ROW]
[ROW][C]0.75[/C][C]18310.5324340845[/C][C]397.445850003809[/C][/ROW]
[ROW][C]0.76[/C][C]18402.9879145117[/C][C]408.049100975904[/C][/ROW]
[ROW][C]0.77[/C][C]18498.1269737662[/C][C]412.907286946867[/C][/ROW]
[ROW][C]0.78[/C][C]18594.8283696714[/C][C]411.374533163061[/C][/ROW]
[ROW][C]0.79[/C][C]18692.0063591248[/C][C]403.921632817989[/C][/ROW]
[ROW][C]0.8[/C][C]18788.8596355016[/C][C]392.281111266173[/C][/ROW]
[ROW][C]0.81[/C][C]18885.0852659927[/C][C]379.146952006033[/C][/ROW]
[ROW][C]0.82[/C][C]18980.9963480616[/C][C]367.623231661472[/C][/ROW]
[ROW][C]0.83[/C][C]19077.4995925602[/C][C]360.398990993219[/C][/ROW]
[ROW][C]0.84[/C][C]19175.9212534948[/C][C]358.994298980966[/C][/ROW]
[ROW][C]0.85[/C][C]19277.7053450746[/C][C]363.151732277787[/C][/ROW]
[ROW][C]0.86[/C][C]19384.0353739216[/C][C]370.920708201528[/C][/ROW]
[ROW][C]0.87[/C][C]19495.4493640542[/C][C]379.108448961375[/C][/ROW]
[ROW][C]0.88[/C][C]19611.5441143919[/C][C]383.875724943757[/C][/ROW]
[ROW][C]0.89[/C][C]19730.9191631649[/C][C]381.313567386026[/C][/ROW]
[ROW][C]0.9[/C][C]19851.5833322925[/C][C]368.649356816262[/C][/ROW]
[ROW][C]0.91[/C][C]19972.0527228574[/C][C]346.37332617216[/C][/ROW]
[ROW][C]0.92[/C][C]20093.1440181671[/C][C]320.878867285042[/C][/ROW]
[ROW][C]0.93[/C][C]20219.856357371[/C][C]306.290674179476[/C][/ROW]
[ROW][C]0.94[/C][C]20361.8371254782[/C][C]319.985393807594[/C][/ROW]
[ROW][C]0.95[/C][C]20530.442794276[/C][C]364.792104285845[/C][/ROW]
[ROW][C]0.96[/C][C]20731.670221506[/C][C]413.172147097379[/C][/ROW]
[ROW][C]0.97[/C][C]20957.8694912597[/C][C]417.775766965688[/C][/ROW]
[ROW][C]0.98[/C][C]21184.035558694[/C][C]347.892297923719[/C][/ROW]
[ROW][C]0.99[/C][C]21370.7630208836[/C][C]238.165182514559[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163429&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163429&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
0.0112744.8175093873116.304824012231
0.0212828.4955531839143.358283953983
0.0312934.5080087373223.423892051208
0.0413065.229197885314.445934581384
0.0513219.4124763023384.859215659107
0.0613387.6669002595420.092308318705
0.0713557.3864114908421.350981600261
0.0813718.2537676824400.582661551251
0.0913864.8368042986372.863422577305
0.113996.4016162432349.715097571414
0.1114115.2033422258336.010511217985
0.1214224.5157689687330.71866672544
0.1314327.1892414733329.739357640822
0.1414424.9783317755328.657662617063
0.1514518.5082827962324.377262812185
0.1614607.6093289203315.554700029148
0.1714691.7671707474302.533107213211
0.1814770.520966341286.730743787208
0.1914843.7264217288270.291163564268
0.214911.6665645172255.371129775377
0.2114975.0324878241243.797736252452
0.2215034.8146763387236.767038929204
0.2315092.1488413034234.703831952442
0.2415148.1548862827237.13438121797
0.2515203.7986359186243.053702423872
0.2615259.7961185243250.98112415128
0.2715316.5705663124259.483006895992
0.2815374.2631115626267.289408750917
0.2915432.7896753003273.584126121089
0.315491.9294646743278.019014711882
0.3115551.4258412602280.865204393911
0.3215611.0790418763282.726852364457
0.3315670.8127530423284.586023954282
0.3415730.7024882052287.396958519394
0.3515790.9619090734291.886595733137
0.3615851.8919265493298.405162533025
0.3715913.8047518889306.685274582586
0.3815976.9395471628316.035330927375
0.3916041.3871818282325.308565484106
0.416107.0389555656333.243671622043
0.4116173.5688846262338.591545973467
0.4216240.4526206227340.396880546288
0.4316307.0196954809338.01199346035
0.4416372.530698629331.28848974059
0.4516436.2678332449320.622490834798
0.4616497.6261861026306.823935975796
0.4716556.193702973291.090945094312
0.4816611.8098225761274.932582624701
0.4916664.5955292817259.900242999818
0.516714.9509047601247.609538369302
0.5116763.5198863441239.421709588868
0.5216811.1257110355236.258605734763
0.5316858.6841973516238.423425071058
0.5416907.1051941804245.531367814119
0.5516957.194665998256.655987181859
0.5617009.5704273717270.32777624923
0.5717064.6031034285284.955126389165
0.5817122.3904654191298.916174896095
0.5917182.7683398435310.906763963595
0.617245.3557201303319.925337688266
0.6117309.6266545658325.439829536271
0.6217374.9979857803327.474618025528
0.6317440.9207027865326.472475644196
0.6417506.9635388795323.263291048741
0.6517572.8798866581318.957629072004
0.6617638.6520949344314.803151275714
0.6717704.5097645712312.076852918822
0.6817770.9202160029311.94723195718
0.6917838.5500258327315.357105862087
0.717908.1972969196322.817390109942
0.7117980.6963628218334.2928619211
0.7218056.8009014249349.078623758909
0.7318137.0579908737365.841710649683
0.7418221.6931709642382.687043467349
0.7518310.5324340845397.445850003809
0.7618402.9879145117408.049100975904
0.7718498.1269737662412.907286946867
0.7818594.8283696714411.374533163061
0.7918692.0063591248403.921632817989
0.818788.8596355016392.281111266173
0.8118885.0852659927379.146952006033
0.8218980.9963480616367.623231661472
0.8319077.4995925602360.398990993219
0.8419175.9212534948358.994298980966
0.8519277.7053450746363.151732277787
0.8619384.0353739216370.920708201528
0.8719495.4493640542379.108448961375
0.8819611.5441143919383.875724943757
0.8919730.9191631649381.313567386026
0.919851.5833322925368.649356816262
0.9119972.0527228574346.37332617216
0.9220093.1440181671320.878867285042
0.9320219.856357371306.290674179476
0.9420361.8371254782319.985393807594
0.9520530.442794276364.792104285845
0.9620731.670221506413.172147097379
0.9720957.8694912597417.775766965688
0.9821184.035558694347.892297923719
0.9921370.7630208836238.165182514559


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')