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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 computationSun, 14 Oct 2012 09:09:56 -0400
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/Oct/14/t1350220236fp7bto16e9yo49x.htm/, Retrieved Sun, 28 Apr 2024 04:39:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=176152, Retrieved Sun, 28 Apr 2024 04:39:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

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] [] [2012-10-14 13:09:56] [b94d6af934ff01803109e5a51192a6cb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
155,28
173,24
180,16
181,52
182,25
182,19
182
181,65
180,07
182,62
180,38
181,15
180,5
181,14
180,93
211,91
223,81
226,88
226,8
231,81
232,06
232,32
228,37
226,31
225,72
219,98
219,31
215,19
213,81
213,7
213,6
213,52
218,39
219,97
221,09
219,17
219,17
218,45
216,88
216,19
214,59
269,87
272,71
280,35
274,5
268,86
261,7
263,98
263,01
262,79
263,59
267
267,89
267,86
266,84
268,24
267,67
269,07
270,87
271,68
271,63
275,21
276,66
276,08
278,3
279,06
279,28
279,12
262,72
262,55
260,7
259,14

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176152&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176152&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176152&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01160.29256192919914.5491492578828
0.02166.96237641831310.2825757907947
0.03172.5701386522826.55907260266472
0.04176.2760090227853.90214893598389
0.05178.4117036510472.21633907488099
0.06179.564464662491.25922440989978
0.07180.1901488058610.801822700702652
0.08180.5662929416730.664818707660156
0.09180.8469626335120.731319110748122
0.1181.1202423679730.967871743784926
0.11181.4470658591841.4033991498557
0.12181.8827458669682.08682683143729
0.13182.4857006472523.05650660489259
0.14183.3170713103744.32076278977935
0.15184.4341534216675.84069981209648
0.16185.8804214426657.52348663696531
0.17187.6751333312149.22786149895332
0.18189.80554040444310.7848518833453
0.19192.22416758515812.0268941235229
0.2194.85237984794612.8190014979128
0.21197.58979773304413.0857085042213
0.22200.32758258655612.8219381219869
0.23202.96267908881912.0905074079442
0.24205.41004528490611.005840034927
0.25207.6106614009369.70843533844409
0.26209.5343621051388.34007655534616
0.27211.1778433198427.02284803756175
0.28212.5591748411325.84593066122516
0.29213.7106009623944.86060345516557
0.3214.671333553054.0838960181509
0.31215.4815888506153.50546162327559
0.32216.1785078220333.09821514576621
0.33216.7940278061122.82811184803448
0.34217.3543667243532.66429154481219
0.35217.8805836186712.58398634585404
0.36218.3896673737632.57338328854155
0.37218.895719145372.62459165081762
0.38219.4109646285592.73413273509465
0.39219.9465017648942.89894076550306
0.4220.5128187968353.11749989367431
0.41221.1201875824853.38752097303109
0.42221.7790452701993.7104411787519
0.43222.5004336811474.09035166634773
0.44223.2964884783314.53638247489623
0.45224.1808829964835.06145819783744
0.46225.169059790595.67989377423148
0.47226.2780496410496.40482102122618
0.48227.5256993703047.2415741243096
0.49228.9292118205168.18323156506213
0.5230.5030350777349.20782312495034
0.51232.25630023012710.2749633701027
0.52234.1901626342411.3289573117558
0.53236.29551078360712.3017511195563
0.54238.55153375908513.1196720618981
0.55240.92556180796713.7135602252018
0.56243.37441645167914.0258509461614
0.57245.84725405470214.0209331130953
0.58248.28960943044213.6895759383676
0.59250.64810469658613.0513069288533
0.6252.87514046710312.1519218609906
0.61254.93286971835811.0588811446771
0.62256.7958771942829.85085945942643
0.63258.4522235635788.60903569505584
0.64259.9028110356587.40705629506657
0.65261.1593195850236.3038340271179
0.66262.2411877491415.33923261602601
0.67263.1722256864744.53148176477863
0.68263.9774359680833.87917293533724
0.69264.6804945394643.36584639590817
0.7265.3021490452192.96597679860273
0.71265.8595747413962.65213827183864
0.72266.3665387207022.40115657804464
0.73266.8340978710752.19741333285208
0.74267.2715123544942.03308708056657
0.75267.6870911439031.90562782599747
0.76268.0887784888371.81611700068232
0.77268.4844083651681.7650026986438
0.78268.8816635657231.75057258896073
0.79269.2878482988041.76846928820888
0.8269.709602043811.81201756258748
0.81270.1526498577391.87391381105551
0.82270.6216210374561.94755961929384
0.83271.1199083233312.02683501394969
0.84271.6495185443442.10537516558584
0.85272.2108989098332.17659096932765
0.86272.8027906546592.23260309255717
0.87273.4222040435792.26488754877932
0.88274.0645548553292.26721465197952
0.89274.7238293297012.2369769911896
0.9275.3924436444142.17428917528787
0.91276.0604591342252.07856073144436
0.92276.7142679205271.94396239924035
0.93277.3358549418441.75771036286483
0.94277.9048940143781.50892825790918
0.95278.4061785107791.20548371256509
0.96278.8422429008310.891792663872448
0.97279.2428366400750.662914004969192
0.98279.6499248465150.651426917068649
0.99280.0578502146460.849909304312251

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 160.292561929199 & 14.5491492578828 \tabularnewline
0.02 & 166.962376418313 & 10.2825757907947 \tabularnewline
0.03 & 172.570138652282 & 6.55907260266472 \tabularnewline
0.04 & 176.276009022785 & 3.90214893598389 \tabularnewline
0.05 & 178.411703651047 & 2.21633907488099 \tabularnewline
0.06 & 179.56446466249 & 1.25922440989978 \tabularnewline
0.07 & 180.190148805861 & 0.801822700702652 \tabularnewline
0.08 & 180.566292941673 & 0.664818707660156 \tabularnewline
0.09 & 180.846962633512 & 0.731319110748122 \tabularnewline
0.1 & 181.120242367973 & 0.967871743784926 \tabularnewline
0.11 & 181.447065859184 & 1.4033991498557 \tabularnewline
0.12 & 181.882745866968 & 2.08682683143729 \tabularnewline
0.13 & 182.485700647252 & 3.05650660489259 \tabularnewline
0.14 & 183.317071310374 & 4.32076278977935 \tabularnewline
0.15 & 184.434153421667 & 5.84069981209648 \tabularnewline
0.16 & 185.880421442665 & 7.52348663696531 \tabularnewline
0.17 & 187.675133331214 & 9.22786149895332 \tabularnewline
0.18 & 189.805540404443 & 10.7848518833453 \tabularnewline
0.19 & 192.224167585158 & 12.0268941235229 \tabularnewline
0.2 & 194.852379847946 & 12.8190014979128 \tabularnewline
0.21 & 197.589797733044 & 13.0857085042213 \tabularnewline
0.22 & 200.327582586556 & 12.8219381219869 \tabularnewline
0.23 & 202.962679088819 & 12.0905074079442 \tabularnewline
0.24 & 205.410045284906 & 11.005840034927 \tabularnewline
0.25 & 207.610661400936 & 9.70843533844409 \tabularnewline
0.26 & 209.534362105138 & 8.34007655534616 \tabularnewline
0.27 & 211.177843319842 & 7.02284803756175 \tabularnewline
0.28 & 212.559174841132 & 5.84593066122516 \tabularnewline
0.29 & 213.710600962394 & 4.86060345516557 \tabularnewline
0.3 & 214.67133355305 & 4.0838960181509 \tabularnewline
0.31 & 215.481588850615 & 3.50546162327559 \tabularnewline
0.32 & 216.178507822033 & 3.09821514576621 \tabularnewline
0.33 & 216.794027806112 & 2.82811184803448 \tabularnewline
0.34 & 217.354366724353 & 2.66429154481219 \tabularnewline
0.35 & 217.880583618671 & 2.58398634585404 \tabularnewline
0.36 & 218.389667373763 & 2.57338328854155 \tabularnewline
0.37 & 218.89571914537 & 2.62459165081762 \tabularnewline
0.38 & 219.410964628559 & 2.73413273509465 \tabularnewline
0.39 & 219.946501764894 & 2.89894076550306 \tabularnewline
0.4 & 220.512818796835 & 3.11749989367431 \tabularnewline
0.41 & 221.120187582485 & 3.38752097303109 \tabularnewline
0.42 & 221.779045270199 & 3.7104411787519 \tabularnewline
0.43 & 222.500433681147 & 4.09035166634773 \tabularnewline
0.44 & 223.296488478331 & 4.53638247489623 \tabularnewline
0.45 & 224.180882996483 & 5.06145819783744 \tabularnewline
0.46 & 225.16905979059 & 5.67989377423148 \tabularnewline
0.47 & 226.278049641049 & 6.40482102122618 \tabularnewline
0.48 & 227.525699370304 & 7.2415741243096 \tabularnewline
0.49 & 228.929211820516 & 8.18323156506213 \tabularnewline
0.5 & 230.503035077734 & 9.20782312495034 \tabularnewline
0.51 & 232.256300230127 & 10.2749633701027 \tabularnewline
0.52 & 234.19016263424 & 11.3289573117558 \tabularnewline
0.53 & 236.295510783607 & 12.3017511195563 \tabularnewline
0.54 & 238.551533759085 & 13.1196720618981 \tabularnewline
0.55 & 240.925561807967 & 13.7135602252018 \tabularnewline
0.56 & 243.374416451679 & 14.0258509461614 \tabularnewline
0.57 & 245.847254054702 & 14.0209331130953 \tabularnewline
0.58 & 248.289609430442 & 13.6895759383676 \tabularnewline
0.59 & 250.648104696586 & 13.0513069288533 \tabularnewline
0.6 & 252.875140467103 & 12.1519218609906 \tabularnewline
0.61 & 254.932869718358 & 11.0588811446771 \tabularnewline
0.62 & 256.795877194282 & 9.85085945942643 \tabularnewline
0.63 & 258.452223563578 & 8.60903569505584 \tabularnewline
0.64 & 259.902811035658 & 7.40705629506657 \tabularnewline
0.65 & 261.159319585023 & 6.3038340271179 \tabularnewline
0.66 & 262.241187749141 & 5.33923261602601 \tabularnewline
0.67 & 263.172225686474 & 4.53148176477863 \tabularnewline
0.68 & 263.977435968083 & 3.87917293533724 \tabularnewline
0.69 & 264.680494539464 & 3.36584639590817 \tabularnewline
0.7 & 265.302149045219 & 2.96597679860273 \tabularnewline
0.71 & 265.859574741396 & 2.65213827183864 \tabularnewline
0.72 & 266.366538720702 & 2.40115657804464 \tabularnewline
0.73 & 266.834097871075 & 2.19741333285208 \tabularnewline
0.74 & 267.271512354494 & 2.03308708056657 \tabularnewline
0.75 & 267.687091143903 & 1.90562782599747 \tabularnewline
0.76 & 268.088778488837 & 1.81611700068232 \tabularnewline
0.77 & 268.484408365168 & 1.7650026986438 \tabularnewline
0.78 & 268.881663565723 & 1.75057258896073 \tabularnewline
0.79 & 269.287848298804 & 1.76846928820888 \tabularnewline
0.8 & 269.70960204381 & 1.81201756258748 \tabularnewline
0.81 & 270.152649857739 & 1.87391381105551 \tabularnewline
0.82 & 270.621621037456 & 1.94755961929384 \tabularnewline
0.83 & 271.119908323331 & 2.02683501394969 \tabularnewline
0.84 & 271.649518544344 & 2.10537516558584 \tabularnewline
0.85 & 272.210898909833 & 2.17659096932765 \tabularnewline
0.86 & 272.802790654659 & 2.23260309255717 \tabularnewline
0.87 & 273.422204043579 & 2.26488754877932 \tabularnewline
0.88 & 274.064554855329 & 2.26721465197952 \tabularnewline
0.89 & 274.723829329701 & 2.2369769911896 \tabularnewline
0.9 & 275.392443644414 & 2.17428917528787 \tabularnewline
0.91 & 276.060459134225 & 2.07856073144436 \tabularnewline
0.92 & 276.714267920527 & 1.94396239924035 \tabularnewline
0.93 & 277.335854941844 & 1.75771036286483 \tabularnewline
0.94 & 277.904894014378 & 1.50892825790918 \tabularnewline
0.95 & 278.406178510779 & 1.20548371256509 \tabularnewline
0.96 & 278.842242900831 & 0.891792663872448 \tabularnewline
0.97 & 279.242836640075 & 0.662914004969192 \tabularnewline
0.98 & 279.649924846515 & 0.651426917068649 \tabularnewline
0.99 & 280.057850214646 & 0.849909304312251 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176152&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]160.292561929199[/C][C]14.5491492578828[/C][/ROW]
[ROW][C]0.02[/C][C]166.962376418313[/C][C]10.2825757907947[/C][/ROW]
[ROW][C]0.03[/C][C]172.570138652282[/C][C]6.55907260266472[/C][/ROW]
[ROW][C]0.04[/C][C]176.276009022785[/C][C]3.90214893598389[/C][/ROW]
[ROW][C]0.05[/C][C]178.411703651047[/C][C]2.21633907488099[/C][/ROW]
[ROW][C]0.06[/C][C]179.56446466249[/C][C]1.25922440989978[/C][/ROW]
[ROW][C]0.07[/C][C]180.190148805861[/C][C]0.801822700702652[/C][/ROW]
[ROW][C]0.08[/C][C]180.566292941673[/C][C]0.664818707660156[/C][/ROW]
[ROW][C]0.09[/C][C]180.846962633512[/C][C]0.731319110748122[/C][/ROW]
[ROW][C]0.1[/C][C]181.120242367973[/C][C]0.967871743784926[/C][/ROW]
[ROW][C]0.11[/C][C]181.447065859184[/C][C]1.4033991498557[/C][/ROW]
[ROW][C]0.12[/C][C]181.882745866968[/C][C]2.08682683143729[/C][/ROW]
[ROW][C]0.13[/C][C]182.485700647252[/C][C]3.05650660489259[/C][/ROW]
[ROW][C]0.14[/C][C]183.317071310374[/C][C]4.32076278977935[/C][/ROW]
[ROW][C]0.15[/C][C]184.434153421667[/C][C]5.84069981209648[/C][/ROW]
[ROW][C]0.16[/C][C]185.880421442665[/C][C]7.52348663696531[/C][/ROW]
[ROW][C]0.17[/C][C]187.675133331214[/C][C]9.22786149895332[/C][/ROW]
[ROW][C]0.18[/C][C]189.805540404443[/C][C]10.7848518833453[/C][/ROW]
[ROW][C]0.19[/C][C]192.224167585158[/C][C]12.0268941235229[/C][/ROW]
[ROW][C]0.2[/C][C]194.852379847946[/C][C]12.8190014979128[/C][/ROW]
[ROW][C]0.21[/C][C]197.589797733044[/C][C]13.0857085042213[/C][/ROW]
[ROW][C]0.22[/C][C]200.327582586556[/C][C]12.8219381219869[/C][/ROW]
[ROW][C]0.23[/C][C]202.962679088819[/C][C]12.0905074079442[/C][/ROW]
[ROW][C]0.24[/C][C]205.410045284906[/C][C]11.005840034927[/C][/ROW]
[ROW][C]0.25[/C][C]207.610661400936[/C][C]9.70843533844409[/C][/ROW]
[ROW][C]0.26[/C][C]209.534362105138[/C][C]8.34007655534616[/C][/ROW]
[ROW][C]0.27[/C][C]211.177843319842[/C][C]7.02284803756175[/C][/ROW]
[ROW][C]0.28[/C][C]212.559174841132[/C][C]5.84593066122516[/C][/ROW]
[ROW][C]0.29[/C][C]213.710600962394[/C][C]4.86060345516557[/C][/ROW]
[ROW][C]0.3[/C][C]214.67133355305[/C][C]4.0838960181509[/C][/ROW]
[ROW][C]0.31[/C][C]215.481588850615[/C][C]3.50546162327559[/C][/ROW]
[ROW][C]0.32[/C][C]216.178507822033[/C][C]3.09821514576621[/C][/ROW]
[ROW][C]0.33[/C][C]216.794027806112[/C][C]2.82811184803448[/C][/ROW]
[ROW][C]0.34[/C][C]217.354366724353[/C][C]2.66429154481219[/C][/ROW]
[ROW][C]0.35[/C][C]217.880583618671[/C][C]2.58398634585404[/C][/ROW]
[ROW][C]0.36[/C][C]218.389667373763[/C][C]2.57338328854155[/C][/ROW]
[ROW][C]0.37[/C][C]218.89571914537[/C][C]2.62459165081762[/C][/ROW]
[ROW][C]0.38[/C][C]219.410964628559[/C][C]2.73413273509465[/C][/ROW]
[ROW][C]0.39[/C][C]219.946501764894[/C][C]2.89894076550306[/C][/ROW]
[ROW][C]0.4[/C][C]220.512818796835[/C][C]3.11749989367431[/C][/ROW]
[ROW][C]0.41[/C][C]221.120187582485[/C][C]3.38752097303109[/C][/ROW]
[ROW][C]0.42[/C][C]221.779045270199[/C][C]3.7104411787519[/C][/ROW]
[ROW][C]0.43[/C][C]222.500433681147[/C][C]4.09035166634773[/C][/ROW]
[ROW][C]0.44[/C][C]223.296488478331[/C][C]4.53638247489623[/C][/ROW]
[ROW][C]0.45[/C][C]224.180882996483[/C][C]5.06145819783744[/C][/ROW]
[ROW][C]0.46[/C][C]225.16905979059[/C][C]5.67989377423148[/C][/ROW]
[ROW][C]0.47[/C][C]226.278049641049[/C][C]6.40482102122618[/C][/ROW]
[ROW][C]0.48[/C][C]227.525699370304[/C][C]7.2415741243096[/C][/ROW]
[ROW][C]0.49[/C][C]228.929211820516[/C][C]8.18323156506213[/C][/ROW]
[ROW][C]0.5[/C][C]230.503035077734[/C][C]9.20782312495034[/C][/ROW]
[ROW][C]0.51[/C][C]232.256300230127[/C][C]10.2749633701027[/C][/ROW]
[ROW][C]0.52[/C][C]234.19016263424[/C][C]11.3289573117558[/C][/ROW]
[ROW][C]0.53[/C][C]236.295510783607[/C][C]12.3017511195563[/C][/ROW]
[ROW][C]0.54[/C][C]238.551533759085[/C][C]13.1196720618981[/C][/ROW]
[ROW][C]0.55[/C][C]240.925561807967[/C][C]13.7135602252018[/C][/ROW]
[ROW][C]0.56[/C][C]243.374416451679[/C][C]14.0258509461614[/C][/ROW]
[ROW][C]0.57[/C][C]245.847254054702[/C][C]14.0209331130953[/C][/ROW]
[ROW][C]0.58[/C][C]248.289609430442[/C][C]13.6895759383676[/C][/ROW]
[ROW][C]0.59[/C][C]250.648104696586[/C][C]13.0513069288533[/C][/ROW]
[ROW][C]0.6[/C][C]252.875140467103[/C][C]12.1519218609906[/C][/ROW]
[ROW][C]0.61[/C][C]254.932869718358[/C][C]11.0588811446771[/C][/ROW]
[ROW][C]0.62[/C][C]256.795877194282[/C][C]9.85085945942643[/C][/ROW]
[ROW][C]0.63[/C][C]258.452223563578[/C][C]8.60903569505584[/C][/ROW]
[ROW][C]0.64[/C][C]259.902811035658[/C][C]7.40705629506657[/C][/ROW]
[ROW][C]0.65[/C][C]261.159319585023[/C][C]6.3038340271179[/C][/ROW]
[ROW][C]0.66[/C][C]262.241187749141[/C][C]5.33923261602601[/C][/ROW]
[ROW][C]0.67[/C][C]263.172225686474[/C][C]4.53148176477863[/C][/ROW]
[ROW][C]0.68[/C][C]263.977435968083[/C][C]3.87917293533724[/C][/ROW]
[ROW][C]0.69[/C][C]264.680494539464[/C][C]3.36584639590817[/C][/ROW]
[ROW][C]0.7[/C][C]265.302149045219[/C][C]2.96597679860273[/C][/ROW]
[ROW][C]0.71[/C][C]265.859574741396[/C][C]2.65213827183864[/C][/ROW]
[ROW][C]0.72[/C][C]266.366538720702[/C][C]2.40115657804464[/C][/ROW]
[ROW][C]0.73[/C][C]266.834097871075[/C][C]2.19741333285208[/C][/ROW]
[ROW][C]0.74[/C][C]267.271512354494[/C][C]2.03308708056657[/C][/ROW]
[ROW][C]0.75[/C][C]267.687091143903[/C][C]1.90562782599747[/C][/ROW]
[ROW][C]0.76[/C][C]268.088778488837[/C][C]1.81611700068232[/C][/ROW]
[ROW][C]0.77[/C][C]268.484408365168[/C][C]1.7650026986438[/C][/ROW]
[ROW][C]0.78[/C][C]268.881663565723[/C][C]1.75057258896073[/C][/ROW]
[ROW][C]0.79[/C][C]269.287848298804[/C][C]1.76846928820888[/C][/ROW]
[ROW][C]0.8[/C][C]269.70960204381[/C][C]1.81201756258748[/C][/ROW]
[ROW][C]0.81[/C][C]270.152649857739[/C][C]1.87391381105551[/C][/ROW]
[ROW][C]0.82[/C][C]270.621621037456[/C][C]1.94755961929384[/C][/ROW]
[ROW][C]0.83[/C][C]271.119908323331[/C][C]2.02683501394969[/C][/ROW]
[ROW][C]0.84[/C][C]271.649518544344[/C][C]2.10537516558584[/C][/ROW]
[ROW][C]0.85[/C][C]272.210898909833[/C][C]2.17659096932765[/C][/ROW]
[ROW][C]0.86[/C][C]272.802790654659[/C][C]2.23260309255717[/C][/ROW]
[ROW][C]0.87[/C][C]273.422204043579[/C][C]2.26488754877932[/C][/ROW]
[ROW][C]0.88[/C][C]274.064554855329[/C][C]2.26721465197952[/C][/ROW]
[ROW][C]0.89[/C][C]274.723829329701[/C][C]2.2369769911896[/C][/ROW]
[ROW][C]0.9[/C][C]275.392443644414[/C][C]2.17428917528787[/C][/ROW]
[ROW][C]0.91[/C][C]276.060459134225[/C][C]2.07856073144436[/C][/ROW]
[ROW][C]0.92[/C][C]276.714267920527[/C][C]1.94396239924035[/C][/ROW]
[ROW][C]0.93[/C][C]277.335854941844[/C][C]1.75771036286483[/C][/ROW]
[ROW][C]0.94[/C][C]277.904894014378[/C][C]1.50892825790918[/C][/ROW]
[ROW][C]0.95[/C][C]278.406178510779[/C][C]1.20548371256509[/C][/ROW]
[ROW][C]0.96[/C][C]278.842242900831[/C][C]0.891792663872448[/C][/ROW]
[ROW][C]0.97[/C][C]279.242836640075[/C][C]0.662914004969192[/C][/ROW]
[ROW][C]0.98[/C][C]279.649924846515[/C][C]0.651426917068649[/C][/ROW]
[ROW][C]0.99[/C][C]280.057850214646[/C][C]0.849909304312251[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176152&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176152&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
0.01160.29256192919914.5491492578828
0.02166.96237641831310.2825757907947
0.03172.5701386522826.55907260266472
0.04176.2760090227853.90214893598389
0.05178.4117036510472.21633907488099
0.06179.564464662491.25922440989978
0.07180.1901488058610.801822700702652
0.08180.5662929416730.664818707660156
0.09180.8469626335120.731319110748122
0.1181.1202423679730.967871743784926
0.11181.4470658591841.4033991498557
0.12181.8827458669682.08682683143729
0.13182.4857006472523.05650660489259
0.14183.3170713103744.32076278977935
0.15184.4341534216675.84069981209648
0.16185.8804214426657.52348663696531
0.17187.6751333312149.22786149895332
0.18189.80554040444310.7848518833453
0.19192.22416758515812.0268941235229
0.2194.85237984794612.8190014979128
0.21197.58979773304413.0857085042213
0.22200.32758258655612.8219381219869
0.23202.96267908881912.0905074079442
0.24205.41004528490611.005840034927
0.25207.6106614009369.70843533844409
0.26209.5343621051388.34007655534616
0.27211.1778433198427.02284803756175
0.28212.5591748411325.84593066122516
0.29213.7106009623944.86060345516557
0.3214.671333553054.0838960181509
0.31215.4815888506153.50546162327559
0.32216.1785078220333.09821514576621
0.33216.7940278061122.82811184803448
0.34217.3543667243532.66429154481219
0.35217.8805836186712.58398634585404
0.36218.3896673737632.57338328854155
0.37218.895719145372.62459165081762
0.38219.4109646285592.73413273509465
0.39219.9465017648942.89894076550306
0.4220.5128187968353.11749989367431
0.41221.1201875824853.38752097303109
0.42221.7790452701993.7104411787519
0.43222.5004336811474.09035166634773
0.44223.2964884783314.53638247489623
0.45224.1808829964835.06145819783744
0.46225.169059790595.67989377423148
0.47226.2780496410496.40482102122618
0.48227.5256993703047.2415741243096
0.49228.9292118205168.18323156506213
0.5230.5030350777349.20782312495034
0.51232.25630023012710.2749633701027
0.52234.1901626342411.3289573117558
0.53236.29551078360712.3017511195563
0.54238.55153375908513.1196720618981
0.55240.92556180796713.7135602252018
0.56243.37441645167914.0258509461614
0.57245.84725405470214.0209331130953
0.58248.28960943044213.6895759383676
0.59250.64810469658613.0513069288533
0.6252.87514046710312.1519218609906
0.61254.93286971835811.0588811446771
0.62256.7958771942829.85085945942643
0.63258.4522235635788.60903569505584
0.64259.9028110356587.40705629506657
0.65261.1593195850236.3038340271179
0.66262.2411877491415.33923261602601
0.67263.1722256864744.53148176477863
0.68263.9774359680833.87917293533724
0.69264.6804945394643.36584639590817
0.7265.3021490452192.96597679860273
0.71265.8595747413962.65213827183864
0.72266.3665387207022.40115657804464
0.73266.8340978710752.19741333285208
0.74267.2715123544942.03308708056657
0.75267.6870911439031.90562782599747
0.76268.0887784888371.81611700068232
0.77268.4844083651681.7650026986438
0.78268.8816635657231.75057258896073
0.79269.2878482988041.76846928820888
0.8269.709602043811.81201756258748
0.81270.1526498577391.87391381105551
0.82270.6216210374561.94755961929384
0.83271.1199083233312.02683501394969
0.84271.6495185443442.10537516558584
0.85272.2108989098332.17659096932765
0.86272.8027906546592.23260309255717
0.87273.4222040435792.26488754877932
0.88274.0645548553292.26721465197952
0.89274.7238293297012.2369769911896
0.9275.3924436444142.17428917528787
0.91276.0604591342252.07856073144436
0.92276.7142679205271.94396239924035
0.93277.3358549418441.75771036286483
0.94277.9048940143781.50892825790918
0.95278.4061785107791.20548371256509
0.96278.8422429008310.891792663872448
0.97279.2428366400750.662914004969192
0.98279.6499248465150.651426917068649
0.99280.0578502146460.849909304312251


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')