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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 computationTue, 01 Mar 2011 16:44:42 +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/2011/Mar/01/t12989978579q2ktlh7hk7evoc.htm/, Retrieved Sat, 11 May 2024 11:27:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119505, Retrieved Sat, 11 May 2024 11:27:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact112

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] [Percentielen eige...] [2011-03-01 16:44:42] [4bded9ec08f78e1ece38a218e29ff7d2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
190.2
180.7
193.6
192.8
195.5
197.2
196.9
178.9
172.4
156.4
143.7
153.6
168.8
185.8
199.9
205.4
197.5
199.6
200.5
193.7
179.6
169.1
169.8
195.5
194.8
204.5
203.8
204.8
204.9
240
248.3
258.4
254.9
288.3
333.6
346.3
357.5
490.7
468.2
471.2
517.1
609.2
682
614
554.2
406.8
348.6
298.8
313.7
282.1
232.9
239.3
241.9
265.7
276
271.5
254.6
269.9
293.5
306.1
365.4
347.9
352.1
377.9
377.4
372.2
362.5
341.9
354.8
369.2
406.7
454.7

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' @ www.wessa.org

\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' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119505&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' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119505&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119505&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' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01146.7102179740358.55954021246416
0.02151.1890804210367.71874765595528
0.03155.7970407110587.67594419946456
0.04159.9534769118057.62608298391643
0.05163.5481004757767.16372324581648
0.06166.6230443912656.54027832080015
0.07169.2740845024396.13667530000029
0.08171.6258898517576.09671736543904
0.09173.8010079483246.31258236038567
0.1175.8899689322856.61041616389845
0.11177.9397718958176.86757062925502
0.12179.959924986317.01992651438632
0.13181.9357739221867.03885075161152
0.14183.8409457061216.91042528511217
0.15185.6461317264626.6346146701875
0.16187.324792354576.22622270073515
0.17188.8570085993665.71759534226841
0.18190.2320510041445.1546708535081
0.19191.4496078436454.58914515604801
0.2192.5195157855494.06980932876429
0.21193.460133307833.63740780024176
0.22194.2958535468033.31888406222502
0.23195.0544281757683.12788023409869
0.24195.7647105223183.06765874020437
0.25196.4551993619333.13560019644169
0.26197.1534895344653.32835625707312
0.27197.8864999907653.64811393709744
0.28198.6811936421144.10377806782431
0.29199.5654280210144.708815996996
0.3200.5685672589625.48065067663584
0.31201.721532069136.43259796455865
0.32203.0560603244517.57044255413849
0.33204.6030935170448.88476801204962
0.34206.39038344577410.3490693702513
0.35208.4396040262811.9171807599182
0.36210.76341623896313.5259624963513
0.37213.36302577750615.0990880279648
0.38216.2267578422416.55783568291
0.39219.33003990426717.8273956661119
0.4222.63695064977218.8483192705922
0.41226.10321050432719.5838813278883
0.42229.68022189670320.0238960899545
0.43233.31957966258120.186305429061
0.44236.97740695880220.1133650166745
0.45240.61794005413119.8646506210109
0.46244.21596200513619.5100538215506
0.47247.75792040453919.1196730048369
0.48251.24179820219218.7588099633356
0.49254.67598655114318.4811368551172
0.5258.07750258862918.3267195983573
0.51261.469896641518.3226911994726
0.52264.8811194591318.4837990130561
0.53268.34150289890818.8153917889527
0.54271.8818843448119.3126962141319
0.55275.53180948235819.9642647443348
0.56279.31770334645520.7475215459142
0.57283.26091628006821.6315034020892
0.58287.37562641047722.5723653400553
0.59291.66669733500623.5139181806619
0.6296.12772161479724.3891699825502
0.61300.73959230859425.1241844182919
0.62305.46999902356825.6441566551937
0.63310.27421112635525.8800018265478
0.64315.09737451991525.7801547300827
0.65319.87832041442525.3163203632011
0.66324.55460402155624.4923679415202
0.67329.06822120277223.3452883579264
0.68333.37126510928121.943231798028
0.69337.4307459881720.3798833177808
0.7341.23193757413818.7630860141136
0.71344.77991854532517.2059018253853
0.72348.09938376634915.812950507316
0.73351.23320565344914.6723846358397
0.74354.24051400344713.8559781143156
0.75357.19512991033813.4157306014688
0.76360.18497464329213.3972105412282
0.77363.31257971252713.8445798047765
0.78366.69612868404814.8103747700844
0.79370.46972554828516.3472418332014
0.8374.78104776030418.4922620305307
0.81379.7845010651821.2382603001836
0.82385.62874651579724.5081905418117
0.83392.43920567430328.1356724988785
0.84400.29876784453731.8621442197965
0.85409.23283362653335.3653698555188
0.86419.20684283020538.3181145139854
0.87430.14391696870740.4837148053462
0.88441.96566159721741.8193443903041
0.89454.64995528797342.5556143177433
0.9468.28701939742643.1912249689202
0.91483.1032282008344.3379909334
0.92499.41887775677146.3874682608322
0.93517.5252947507449.1096462144203
0.94537.52639210093551.4457473261382
0.95559.2883659054951.7776770657354
0.96582.6804304988748.9967022194436
0.97607.98765499035344.6722819539091
0.98635.50738424915945.120717277238
0.99662.88750428380655.1970924198665

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 146.710217974035 & 8.55954021246416 \tabularnewline
0.02 & 151.189080421036 & 7.71874765595528 \tabularnewline
0.03 & 155.797040711058 & 7.67594419946456 \tabularnewline
0.04 & 159.953476911805 & 7.62608298391643 \tabularnewline
0.05 & 163.548100475776 & 7.16372324581648 \tabularnewline
0.06 & 166.623044391265 & 6.54027832080015 \tabularnewline
0.07 & 169.274084502439 & 6.13667530000029 \tabularnewline
0.08 & 171.625889851757 & 6.09671736543904 \tabularnewline
0.09 & 173.801007948324 & 6.31258236038567 \tabularnewline
0.1 & 175.889968932285 & 6.61041616389845 \tabularnewline
0.11 & 177.939771895817 & 6.86757062925502 \tabularnewline
0.12 & 179.95992498631 & 7.01992651438632 \tabularnewline
0.13 & 181.935773922186 & 7.03885075161152 \tabularnewline
0.14 & 183.840945706121 & 6.91042528511217 \tabularnewline
0.15 & 185.646131726462 & 6.6346146701875 \tabularnewline
0.16 & 187.32479235457 & 6.22622270073515 \tabularnewline
0.17 & 188.857008599366 & 5.71759534226841 \tabularnewline
0.18 & 190.232051004144 & 5.1546708535081 \tabularnewline
0.19 & 191.449607843645 & 4.58914515604801 \tabularnewline
0.2 & 192.519515785549 & 4.06980932876429 \tabularnewline
0.21 & 193.46013330783 & 3.63740780024176 \tabularnewline
0.22 & 194.295853546803 & 3.31888406222502 \tabularnewline
0.23 & 195.054428175768 & 3.12788023409869 \tabularnewline
0.24 & 195.764710522318 & 3.06765874020437 \tabularnewline
0.25 & 196.455199361933 & 3.13560019644169 \tabularnewline
0.26 & 197.153489534465 & 3.32835625707312 \tabularnewline
0.27 & 197.886499990765 & 3.64811393709744 \tabularnewline
0.28 & 198.681193642114 & 4.10377806782431 \tabularnewline
0.29 & 199.565428021014 & 4.708815996996 \tabularnewline
0.3 & 200.568567258962 & 5.48065067663584 \tabularnewline
0.31 & 201.72153206913 & 6.43259796455865 \tabularnewline
0.32 & 203.056060324451 & 7.57044255413849 \tabularnewline
0.33 & 204.603093517044 & 8.88476801204962 \tabularnewline
0.34 & 206.390383445774 & 10.3490693702513 \tabularnewline
0.35 & 208.43960402628 & 11.9171807599182 \tabularnewline
0.36 & 210.763416238963 & 13.5259624963513 \tabularnewline
0.37 & 213.363025777506 & 15.0990880279648 \tabularnewline
0.38 & 216.22675784224 & 16.55783568291 \tabularnewline
0.39 & 219.330039904267 & 17.8273956661119 \tabularnewline
0.4 & 222.636950649772 & 18.8483192705922 \tabularnewline
0.41 & 226.103210504327 & 19.5838813278883 \tabularnewline
0.42 & 229.680221896703 & 20.0238960899545 \tabularnewline
0.43 & 233.319579662581 & 20.186305429061 \tabularnewline
0.44 & 236.977406958802 & 20.1133650166745 \tabularnewline
0.45 & 240.617940054131 & 19.8646506210109 \tabularnewline
0.46 & 244.215962005136 & 19.5100538215506 \tabularnewline
0.47 & 247.757920404539 & 19.1196730048369 \tabularnewline
0.48 & 251.241798202192 & 18.7588099633356 \tabularnewline
0.49 & 254.675986551143 & 18.4811368551172 \tabularnewline
0.5 & 258.077502588629 & 18.3267195983573 \tabularnewline
0.51 & 261.4698966415 & 18.3226911994726 \tabularnewline
0.52 & 264.88111945913 & 18.4837990130561 \tabularnewline
0.53 & 268.341502898908 & 18.8153917889527 \tabularnewline
0.54 & 271.88188434481 & 19.3126962141319 \tabularnewline
0.55 & 275.531809482358 & 19.9642647443348 \tabularnewline
0.56 & 279.317703346455 & 20.7475215459142 \tabularnewline
0.57 & 283.260916280068 & 21.6315034020892 \tabularnewline
0.58 & 287.375626410477 & 22.5723653400553 \tabularnewline
0.59 & 291.666697335006 & 23.5139181806619 \tabularnewline
0.6 & 296.127721614797 & 24.3891699825502 \tabularnewline
0.61 & 300.739592308594 & 25.1241844182919 \tabularnewline
0.62 & 305.469999023568 & 25.6441566551937 \tabularnewline
0.63 & 310.274211126355 & 25.8800018265478 \tabularnewline
0.64 & 315.097374519915 & 25.7801547300827 \tabularnewline
0.65 & 319.878320414425 & 25.3163203632011 \tabularnewline
0.66 & 324.554604021556 & 24.4923679415202 \tabularnewline
0.67 & 329.068221202772 & 23.3452883579264 \tabularnewline
0.68 & 333.371265109281 & 21.943231798028 \tabularnewline
0.69 & 337.43074598817 & 20.3798833177808 \tabularnewline
0.7 & 341.231937574138 & 18.7630860141136 \tabularnewline
0.71 & 344.779918545325 & 17.2059018253853 \tabularnewline
0.72 & 348.099383766349 & 15.812950507316 \tabularnewline
0.73 & 351.233205653449 & 14.6723846358397 \tabularnewline
0.74 & 354.240514003447 & 13.8559781143156 \tabularnewline
0.75 & 357.195129910338 & 13.4157306014688 \tabularnewline
0.76 & 360.184974643292 & 13.3972105412282 \tabularnewline
0.77 & 363.312579712527 & 13.8445798047765 \tabularnewline
0.78 & 366.696128684048 & 14.8103747700844 \tabularnewline
0.79 & 370.469725548285 & 16.3472418332014 \tabularnewline
0.8 & 374.781047760304 & 18.4922620305307 \tabularnewline
0.81 & 379.78450106518 & 21.2382603001836 \tabularnewline
0.82 & 385.628746515797 & 24.5081905418117 \tabularnewline
0.83 & 392.439205674303 & 28.1356724988785 \tabularnewline
0.84 & 400.298767844537 & 31.8621442197965 \tabularnewline
0.85 & 409.232833626533 & 35.3653698555188 \tabularnewline
0.86 & 419.206842830205 & 38.3181145139854 \tabularnewline
0.87 & 430.143916968707 & 40.4837148053462 \tabularnewline
0.88 & 441.965661597217 & 41.8193443903041 \tabularnewline
0.89 & 454.649955287973 & 42.5556143177433 \tabularnewline
0.9 & 468.287019397426 & 43.1912249689202 \tabularnewline
0.91 & 483.10322820083 & 44.3379909334 \tabularnewline
0.92 & 499.418877756771 & 46.3874682608322 \tabularnewline
0.93 & 517.52529475074 & 49.1096462144203 \tabularnewline
0.94 & 537.526392100935 & 51.4457473261382 \tabularnewline
0.95 & 559.28836590549 & 51.7776770657354 \tabularnewline
0.96 & 582.68043049887 & 48.9967022194436 \tabularnewline
0.97 & 607.987654990353 & 44.6722819539091 \tabularnewline
0.98 & 635.507384249159 & 45.120717277238 \tabularnewline
0.99 & 662.887504283806 & 55.1970924198665 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119505&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]146.710217974035[/C][C]8.55954021246416[/C][/ROW]
[ROW][C]0.02[/C][C]151.189080421036[/C][C]7.71874765595528[/C][/ROW]
[ROW][C]0.03[/C][C]155.797040711058[/C][C]7.67594419946456[/C][/ROW]
[ROW][C]0.04[/C][C]159.953476911805[/C][C]7.62608298391643[/C][/ROW]
[ROW][C]0.05[/C][C]163.548100475776[/C][C]7.16372324581648[/C][/ROW]
[ROW][C]0.06[/C][C]166.623044391265[/C][C]6.54027832080015[/C][/ROW]
[ROW][C]0.07[/C][C]169.274084502439[/C][C]6.13667530000029[/C][/ROW]
[ROW][C]0.08[/C][C]171.625889851757[/C][C]6.09671736543904[/C][/ROW]
[ROW][C]0.09[/C][C]173.801007948324[/C][C]6.31258236038567[/C][/ROW]
[ROW][C]0.1[/C][C]175.889968932285[/C][C]6.61041616389845[/C][/ROW]
[ROW][C]0.11[/C][C]177.939771895817[/C][C]6.86757062925502[/C][/ROW]
[ROW][C]0.12[/C][C]179.95992498631[/C][C]7.01992651438632[/C][/ROW]
[ROW][C]0.13[/C][C]181.935773922186[/C][C]7.03885075161152[/C][/ROW]
[ROW][C]0.14[/C][C]183.840945706121[/C][C]6.91042528511217[/C][/ROW]
[ROW][C]0.15[/C][C]185.646131726462[/C][C]6.6346146701875[/C][/ROW]
[ROW][C]0.16[/C][C]187.32479235457[/C][C]6.22622270073515[/C][/ROW]
[ROW][C]0.17[/C][C]188.857008599366[/C][C]5.71759534226841[/C][/ROW]
[ROW][C]0.18[/C][C]190.232051004144[/C][C]5.1546708535081[/C][/ROW]
[ROW][C]0.19[/C][C]191.449607843645[/C][C]4.58914515604801[/C][/ROW]
[ROW][C]0.2[/C][C]192.519515785549[/C][C]4.06980932876429[/C][/ROW]
[ROW][C]0.21[/C][C]193.46013330783[/C][C]3.63740780024176[/C][/ROW]
[ROW][C]0.22[/C][C]194.295853546803[/C][C]3.31888406222502[/C][/ROW]
[ROW][C]0.23[/C][C]195.054428175768[/C][C]3.12788023409869[/C][/ROW]
[ROW][C]0.24[/C][C]195.764710522318[/C][C]3.06765874020437[/C][/ROW]
[ROW][C]0.25[/C][C]196.455199361933[/C][C]3.13560019644169[/C][/ROW]
[ROW][C]0.26[/C][C]197.153489534465[/C][C]3.32835625707312[/C][/ROW]
[ROW][C]0.27[/C][C]197.886499990765[/C][C]3.64811393709744[/C][/ROW]
[ROW][C]0.28[/C][C]198.681193642114[/C][C]4.10377806782431[/C][/ROW]
[ROW][C]0.29[/C][C]199.565428021014[/C][C]4.708815996996[/C][/ROW]
[ROW][C]0.3[/C][C]200.568567258962[/C][C]5.48065067663584[/C][/ROW]
[ROW][C]0.31[/C][C]201.72153206913[/C][C]6.43259796455865[/C][/ROW]
[ROW][C]0.32[/C][C]203.056060324451[/C][C]7.57044255413849[/C][/ROW]
[ROW][C]0.33[/C][C]204.603093517044[/C][C]8.88476801204962[/C][/ROW]
[ROW][C]0.34[/C][C]206.390383445774[/C][C]10.3490693702513[/C][/ROW]
[ROW][C]0.35[/C][C]208.43960402628[/C][C]11.9171807599182[/C][/ROW]
[ROW][C]0.36[/C][C]210.763416238963[/C][C]13.5259624963513[/C][/ROW]
[ROW][C]0.37[/C][C]213.363025777506[/C][C]15.0990880279648[/C][/ROW]
[ROW][C]0.38[/C][C]216.22675784224[/C][C]16.55783568291[/C][/ROW]
[ROW][C]0.39[/C][C]219.330039904267[/C][C]17.8273956661119[/C][/ROW]
[ROW][C]0.4[/C][C]222.636950649772[/C][C]18.8483192705922[/C][/ROW]
[ROW][C]0.41[/C][C]226.103210504327[/C][C]19.5838813278883[/C][/ROW]
[ROW][C]0.42[/C][C]229.680221896703[/C][C]20.0238960899545[/C][/ROW]
[ROW][C]0.43[/C][C]233.319579662581[/C][C]20.186305429061[/C][/ROW]
[ROW][C]0.44[/C][C]236.977406958802[/C][C]20.1133650166745[/C][/ROW]
[ROW][C]0.45[/C][C]240.617940054131[/C][C]19.8646506210109[/C][/ROW]
[ROW][C]0.46[/C][C]244.215962005136[/C][C]19.5100538215506[/C][/ROW]
[ROW][C]0.47[/C][C]247.757920404539[/C][C]19.1196730048369[/C][/ROW]
[ROW][C]0.48[/C][C]251.241798202192[/C][C]18.7588099633356[/C][/ROW]
[ROW][C]0.49[/C][C]254.675986551143[/C][C]18.4811368551172[/C][/ROW]
[ROW][C]0.5[/C][C]258.077502588629[/C][C]18.3267195983573[/C][/ROW]
[ROW][C]0.51[/C][C]261.4698966415[/C][C]18.3226911994726[/C][/ROW]
[ROW][C]0.52[/C][C]264.88111945913[/C][C]18.4837990130561[/C][/ROW]
[ROW][C]0.53[/C][C]268.341502898908[/C][C]18.8153917889527[/C][/ROW]
[ROW][C]0.54[/C][C]271.88188434481[/C][C]19.3126962141319[/C][/ROW]
[ROW][C]0.55[/C][C]275.531809482358[/C][C]19.9642647443348[/C][/ROW]
[ROW][C]0.56[/C][C]279.317703346455[/C][C]20.7475215459142[/C][/ROW]
[ROW][C]0.57[/C][C]283.260916280068[/C][C]21.6315034020892[/C][/ROW]
[ROW][C]0.58[/C][C]287.375626410477[/C][C]22.5723653400553[/C][/ROW]
[ROW][C]0.59[/C][C]291.666697335006[/C][C]23.5139181806619[/C][/ROW]
[ROW][C]0.6[/C][C]296.127721614797[/C][C]24.3891699825502[/C][/ROW]
[ROW][C]0.61[/C][C]300.739592308594[/C][C]25.1241844182919[/C][/ROW]
[ROW][C]0.62[/C][C]305.469999023568[/C][C]25.6441566551937[/C][/ROW]
[ROW][C]0.63[/C][C]310.274211126355[/C][C]25.8800018265478[/C][/ROW]
[ROW][C]0.64[/C][C]315.097374519915[/C][C]25.7801547300827[/C][/ROW]
[ROW][C]0.65[/C][C]319.878320414425[/C][C]25.3163203632011[/C][/ROW]
[ROW][C]0.66[/C][C]324.554604021556[/C][C]24.4923679415202[/C][/ROW]
[ROW][C]0.67[/C][C]329.068221202772[/C][C]23.3452883579264[/C][/ROW]
[ROW][C]0.68[/C][C]333.371265109281[/C][C]21.943231798028[/C][/ROW]
[ROW][C]0.69[/C][C]337.43074598817[/C][C]20.3798833177808[/C][/ROW]
[ROW][C]0.7[/C][C]341.231937574138[/C][C]18.7630860141136[/C][/ROW]
[ROW][C]0.71[/C][C]344.779918545325[/C][C]17.2059018253853[/C][/ROW]
[ROW][C]0.72[/C][C]348.099383766349[/C][C]15.812950507316[/C][/ROW]
[ROW][C]0.73[/C][C]351.233205653449[/C][C]14.6723846358397[/C][/ROW]
[ROW][C]0.74[/C][C]354.240514003447[/C][C]13.8559781143156[/C][/ROW]
[ROW][C]0.75[/C][C]357.195129910338[/C][C]13.4157306014688[/C][/ROW]
[ROW][C]0.76[/C][C]360.184974643292[/C][C]13.3972105412282[/C][/ROW]
[ROW][C]0.77[/C][C]363.312579712527[/C][C]13.8445798047765[/C][/ROW]
[ROW][C]0.78[/C][C]366.696128684048[/C][C]14.8103747700844[/C][/ROW]
[ROW][C]0.79[/C][C]370.469725548285[/C][C]16.3472418332014[/C][/ROW]
[ROW][C]0.8[/C][C]374.781047760304[/C][C]18.4922620305307[/C][/ROW]
[ROW][C]0.81[/C][C]379.78450106518[/C][C]21.2382603001836[/C][/ROW]
[ROW][C]0.82[/C][C]385.628746515797[/C][C]24.5081905418117[/C][/ROW]
[ROW][C]0.83[/C][C]392.439205674303[/C][C]28.1356724988785[/C][/ROW]
[ROW][C]0.84[/C][C]400.298767844537[/C][C]31.8621442197965[/C][/ROW]
[ROW][C]0.85[/C][C]409.232833626533[/C][C]35.3653698555188[/C][/ROW]
[ROW][C]0.86[/C][C]419.206842830205[/C][C]38.3181145139854[/C][/ROW]
[ROW][C]0.87[/C][C]430.143916968707[/C][C]40.4837148053462[/C][/ROW]
[ROW][C]0.88[/C][C]441.965661597217[/C][C]41.8193443903041[/C][/ROW]
[ROW][C]0.89[/C][C]454.649955287973[/C][C]42.5556143177433[/C][/ROW]
[ROW][C]0.9[/C][C]468.287019397426[/C][C]43.1912249689202[/C][/ROW]
[ROW][C]0.91[/C][C]483.10322820083[/C][C]44.3379909334[/C][/ROW]
[ROW][C]0.92[/C][C]499.418877756771[/C][C]46.3874682608322[/C][/ROW]
[ROW][C]0.93[/C][C]517.52529475074[/C][C]49.1096462144203[/C][/ROW]
[ROW][C]0.94[/C][C]537.526392100935[/C][C]51.4457473261382[/C][/ROW]
[ROW][C]0.95[/C][C]559.28836590549[/C][C]51.7776770657354[/C][/ROW]
[ROW][C]0.96[/C][C]582.68043049887[/C][C]48.9967022194436[/C][/ROW]
[ROW][C]0.97[/C][C]607.987654990353[/C][C]44.6722819539091[/C][/ROW]
[ROW][C]0.98[/C][C]635.507384249159[/C][C]45.120717277238[/C][/ROW]
[ROW][C]0.99[/C][C]662.887504283806[/C][C]55.1970924198665[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119505&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119505&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
0.01146.7102179740358.55954021246416
0.02151.1890804210367.71874765595528
0.03155.7970407110587.67594419946456
0.04159.9534769118057.62608298391643
0.05163.5481004757767.16372324581648
0.06166.6230443912656.54027832080015
0.07169.2740845024396.13667530000029
0.08171.6258898517576.09671736543904
0.09173.8010079483246.31258236038567
0.1175.8899689322856.61041616389845
0.11177.9397718958176.86757062925502
0.12179.959924986317.01992651438632
0.13181.9357739221867.03885075161152
0.14183.8409457061216.91042528511217
0.15185.6461317264626.6346146701875
0.16187.324792354576.22622270073515
0.17188.8570085993665.71759534226841
0.18190.2320510041445.1546708535081
0.19191.4496078436454.58914515604801
0.2192.5195157855494.06980932876429
0.21193.460133307833.63740780024176
0.22194.2958535468033.31888406222502
0.23195.0544281757683.12788023409869
0.24195.7647105223183.06765874020437
0.25196.4551993619333.13560019644169
0.26197.1534895344653.32835625707312
0.27197.8864999907653.64811393709744
0.28198.6811936421144.10377806782431
0.29199.5654280210144.708815996996
0.3200.5685672589625.48065067663584
0.31201.721532069136.43259796455865
0.32203.0560603244517.57044255413849
0.33204.6030935170448.88476801204962
0.34206.39038344577410.3490693702513
0.35208.4396040262811.9171807599182
0.36210.76341623896313.5259624963513
0.37213.36302577750615.0990880279648
0.38216.2267578422416.55783568291
0.39219.33003990426717.8273956661119
0.4222.63695064977218.8483192705922
0.41226.10321050432719.5838813278883
0.42229.68022189670320.0238960899545
0.43233.31957966258120.186305429061
0.44236.97740695880220.1133650166745
0.45240.61794005413119.8646506210109
0.46244.21596200513619.5100538215506
0.47247.75792040453919.1196730048369
0.48251.24179820219218.7588099633356
0.49254.67598655114318.4811368551172
0.5258.07750258862918.3267195983573
0.51261.469896641518.3226911994726
0.52264.8811194591318.4837990130561
0.53268.34150289890818.8153917889527
0.54271.8818843448119.3126962141319
0.55275.53180948235819.9642647443348
0.56279.31770334645520.7475215459142
0.57283.26091628006821.6315034020892
0.58287.37562641047722.5723653400553
0.59291.66669733500623.5139181806619
0.6296.12772161479724.3891699825502
0.61300.73959230859425.1241844182919
0.62305.46999902356825.6441566551937
0.63310.27421112635525.8800018265478
0.64315.09737451991525.7801547300827
0.65319.87832041442525.3163203632011
0.66324.55460402155624.4923679415202
0.67329.06822120277223.3452883579264
0.68333.37126510928121.943231798028
0.69337.4307459881720.3798833177808
0.7341.23193757413818.7630860141136
0.71344.77991854532517.2059018253853
0.72348.09938376634915.812950507316
0.73351.23320565344914.6723846358397
0.74354.24051400344713.8559781143156
0.75357.19512991033813.4157306014688
0.76360.18497464329213.3972105412282
0.77363.31257971252713.8445798047765
0.78366.69612868404814.8103747700844
0.79370.46972554828516.3472418332014
0.8374.78104776030418.4922620305307
0.81379.7845010651821.2382603001836
0.82385.62874651579724.5081905418117
0.83392.43920567430328.1356724988785
0.84400.29876784453731.8621442197965
0.85409.23283362653335.3653698555188
0.86419.20684283020538.3181145139854
0.87430.14391696870740.4837148053462
0.88441.96566159721741.8193443903041
0.89454.64995528797342.5556143177433
0.9468.28701939742643.1912249689202
0.91483.1032282008344.3379909334
0.92499.41887775677146.3874682608322
0.93517.5252947507449.1096462144203
0.94537.52639210093551.4457473261382
0.95559.2883659054951.7776770657354
0.96582.6804304988748.9967022194436
0.97607.98765499035344.6722819539091
0.98635.50738424915945.120717277238
0.99662.88750428380655.1970924198665


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')