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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 computationWed, 02 Oct 2013 13:30:51 -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/2013/Oct/02/t1380735063hw7cw3mnci2fsr3.htm/, Retrieved Sat, 27 Apr 2024 18:11:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212720, Retrieved Sat, 27 Apr 2024 18:11:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103

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] [] [2013-10-02 17:30:51] [27a1831061bd99e933e6c6e7cff94cc2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
339
139
186
155
153
222
102
107
188
162
185
24
394
209
248
254
202
258
215
309
240
258
276
48
455
345
311
346
310
297
300
274
292
304
186
14
321
206
160
217
204
246
234
175
364
328
158
40
556
193
221
278
230
253
240
252
228
306
206
48
557
279
399
364
306
471
293
333
316
329
265
61
679
428
394
352
387
590
177
199
203
255
261
115

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212720&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212720&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212720&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0119.010136406888311.4338113200552
0.0227.274503913229513.6838292235691
0.0336.537647109123915.7356841510552
0.0446.047999548884818.9866049991014
0.0556.067522821473623.7790029452602
0.0666.953810610514828.6821962221157
0.0778.682711929823232.2079382715706
0.0890.838277130044533.7065795763963
0.09102.83842660437233.3255537566188
0.1114.16207846536531.5973652505599
0.11124.46624726121529.0807631906442
0.12133.59905350164226.2225475049876
0.13141.56029418368523.368551517264
0.14148.45086062852320.7906959603997
0.15154.42771492757918.6717960196469
0.16159.66688383238317.0725030833748
0.17164.33456111582615.9297122284355
0.18168.5679883796115.1039992981089
0.19172.46757237793714.448566700587
0.2176.09917141605113.8593183103585
0.21179.50283622968913.2882026125553
0.22182.70336172251312.7307380094298
0.23185.71903434729912.203875665602
0.24188.5669919215611.7260794418007
0.25191.26546910104911.3087264693293
0.26193.83417390446410.9573701177158
0.27196.29406369303710.6769024548862
0.28198.66723591861510.4768973287283
0.29200.97700371505310.3717097704277
0.3203.24783185869310.3765539584133
0.31205.50476907990310.4999782115168
0.32207.77223362346310.7393102021777
0.33210.07230677810511.0768555099105
0.34212.42290081419211.4849279440345
0.35214.83621504757411.9281925398021
0.36217.31779057310512.3702394566686
0.37219.86629356196212.7763735754569
0.38222.47398343304513.118642247544
0.39225.12771398238313.3734117200916
0.4227.81028873058613.5248870766263
0.41230.50202558101613.5644393392627
0.42233.18244113366913.4915770971044
0.43235.83200430390813.3140442245824
0.44238.43391106002713.048270233744
0.45240.975797027412.7202184209318
0.46243.45124990807112.3642607867954
0.47245.86093562369512.0207251491295
0.48248.21313634019511.7337564486298
0.49250.52353127170811.5460199772195
0.5252.81413421778111.4912968346394
0.51255.11142175098811.5919401504005
0.52257.44381754528611.8509428932649
0.53259.8388111774112.2533978145399
0.54262.32005713587812.7667526290609
0.55264.90480667864513.3457722502773
0.56267.60197281701113.9395265315418
0.57270.41103386368614.4942913694293
0.58273.32186981997114.9620567329149
0.59276.31552428318615.2998693962517
0.6279.36580886673415.4774043923357
0.61282.44161904490215.475632529334
0.62285.50979837338215.2914484703289
0.63288.53835499235814.9376052601234
0.64291.4997876477714.4430896592552
0.65294.37421904774813.8522692808195
0.66297.15197975745513.2218715125619
0.67299.83526622213812.6163046257392
0.68302.43854438327212.1016165533882
0.69304.98750701942511.7355825510551
0.7307.5166162843111.5588727978185
0.71310.06554078903411.58865085798
0.72312.67506916940711.813516033401
0.73315.38327427663312.1988882449787
0.74318.22274364304212.6977947197194
0.75321.21953930135513.2636345658154
0.76324.39420327069313.8609201488587
0.77327.76463276037314.4743853571089
0.78331.35010479426915.1131767474317
0.79335.17526605758215.8063298884086
0.8339.27269188960616.5922073301446
0.81343.68286586350217.5036461801023
0.82348.45134004622318.5496440602772
0.83353.62447402468619.7033420721748
0.84359.24723011102620.9097338840297
0.85365.36817157010522.1176697206615
0.86372.05672073533723.336716950796
0.87379.43462204341224.7039213469463
0.88387.71720937994526.5228713125624
0.89397.25183834819729.2174678892879
0.9408.53268567678633.1798460683407
0.91422.16427745146538.5579611640019
0.92438.74397157073545.0565400466999
0.93458.65318148155951.723624375174
0.94481.82845170020956.8084431957694
0.95507.75691769267458.1933647924438
0.96536.09109651654955.0786333766962
0.97567.88880580418150.8493713098559
0.98605.63696060674754.4342714014572
0.99647.76091406422370.8469564102886

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 19.0101364068883 & 11.4338113200552 \tabularnewline
0.02 & 27.2745039132295 & 13.6838292235691 \tabularnewline
0.03 & 36.5376471091239 & 15.7356841510552 \tabularnewline
0.04 & 46.0479995488848 & 18.9866049991014 \tabularnewline
0.05 & 56.0675228214736 & 23.7790029452602 \tabularnewline
0.06 & 66.9538106105148 & 28.6821962221157 \tabularnewline
0.07 & 78.6827119298232 & 32.2079382715706 \tabularnewline
0.08 & 90.8382771300445 & 33.7065795763963 \tabularnewline
0.09 & 102.838426604372 & 33.3255537566188 \tabularnewline
0.1 & 114.162078465365 & 31.5973652505599 \tabularnewline
0.11 & 124.466247261215 & 29.0807631906442 \tabularnewline
0.12 & 133.599053501642 & 26.2225475049876 \tabularnewline
0.13 & 141.560294183685 & 23.368551517264 \tabularnewline
0.14 & 148.450860628523 & 20.7906959603997 \tabularnewline
0.15 & 154.427714927579 & 18.6717960196469 \tabularnewline
0.16 & 159.666883832383 & 17.0725030833748 \tabularnewline
0.17 & 164.334561115826 & 15.9297122284355 \tabularnewline
0.18 & 168.56798837961 & 15.1039992981089 \tabularnewline
0.19 & 172.467572377937 & 14.448566700587 \tabularnewline
0.2 & 176.099171416051 & 13.8593183103585 \tabularnewline
0.21 & 179.502836229689 & 13.2882026125553 \tabularnewline
0.22 & 182.703361722513 & 12.7307380094298 \tabularnewline
0.23 & 185.719034347299 & 12.203875665602 \tabularnewline
0.24 & 188.56699192156 & 11.7260794418007 \tabularnewline
0.25 & 191.265469101049 & 11.3087264693293 \tabularnewline
0.26 & 193.834173904464 & 10.9573701177158 \tabularnewline
0.27 & 196.294063693037 & 10.6769024548862 \tabularnewline
0.28 & 198.667235918615 & 10.4768973287283 \tabularnewline
0.29 & 200.977003715053 & 10.3717097704277 \tabularnewline
0.3 & 203.247831858693 & 10.3765539584133 \tabularnewline
0.31 & 205.504769079903 & 10.4999782115168 \tabularnewline
0.32 & 207.772233623463 & 10.7393102021777 \tabularnewline
0.33 & 210.072306778105 & 11.0768555099105 \tabularnewline
0.34 & 212.422900814192 & 11.4849279440345 \tabularnewline
0.35 & 214.836215047574 & 11.9281925398021 \tabularnewline
0.36 & 217.317790573105 & 12.3702394566686 \tabularnewline
0.37 & 219.866293561962 & 12.7763735754569 \tabularnewline
0.38 & 222.473983433045 & 13.118642247544 \tabularnewline
0.39 & 225.127713982383 & 13.3734117200916 \tabularnewline
0.4 & 227.810288730586 & 13.5248870766263 \tabularnewline
0.41 & 230.502025581016 & 13.5644393392627 \tabularnewline
0.42 & 233.182441133669 & 13.4915770971044 \tabularnewline
0.43 & 235.832004303908 & 13.3140442245824 \tabularnewline
0.44 & 238.433911060027 & 13.048270233744 \tabularnewline
0.45 & 240.9757970274 & 12.7202184209318 \tabularnewline
0.46 & 243.451249908071 & 12.3642607867954 \tabularnewline
0.47 & 245.860935623695 & 12.0207251491295 \tabularnewline
0.48 & 248.213136340195 & 11.7337564486298 \tabularnewline
0.49 & 250.523531271708 & 11.5460199772195 \tabularnewline
0.5 & 252.814134217781 & 11.4912968346394 \tabularnewline
0.51 & 255.111421750988 & 11.5919401504005 \tabularnewline
0.52 & 257.443817545286 & 11.8509428932649 \tabularnewline
0.53 & 259.83881117741 & 12.2533978145399 \tabularnewline
0.54 & 262.320057135878 & 12.7667526290609 \tabularnewline
0.55 & 264.904806678645 & 13.3457722502773 \tabularnewline
0.56 & 267.601972817011 & 13.9395265315418 \tabularnewline
0.57 & 270.411033863686 & 14.4942913694293 \tabularnewline
0.58 & 273.321869819971 & 14.9620567329149 \tabularnewline
0.59 & 276.315524283186 & 15.2998693962517 \tabularnewline
0.6 & 279.365808866734 & 15.4774043923357 \tabularnewline
0.61 & 282.441619044902 & 15.475632529334 \tabularnewline
0.62 & 285.509798373382 & 15.2914484703289 \tabularnewline
0.63 & 288.538354992358 & 14.9376052601234 \tabularnewline
0.64 & 291.49978764777 & 14.4430896592552 \tabularnewline
0.65 & 294.374219047748 & 13.8522692808195 \tabularnewline
0.66 & 297.151979757455 & 13.2218715125619 \tabularnewline
0.67 & 299.835266222138 & 12.6163046257392 \tabularnewline
0.68 & 302.438544383272 & 12.1016165533882 \tabularnewline
0.69 & 304.987507019425 & 11.7355825510551 \tabularnewline
0.7 & 307.51661628431 & 11.5588727978185 \tabularnewline
0.71 & 310.065540789034 & 11.58865085798 \tabularnewline
0.72 & 312.675069169407 & 11.813516033401 \tabularnewline
0.73 & 315.383274276633 & 12.1988882449787 \tabularnewline
0.74 & 318.222743643042 & 12.6977947197194 \tabularnewline
0.75 & 321.219539301355 & 13.2636345658154 \tabularnewline
0.76 & 324.394203270693 & 13.8609201488587 \tabularnewline
0.77 & 327.764632760373 & 14.4743853571089 \tabularnewline
0.78 & 331.350104794269 & 15.1131767474317 \tabularnewline
0.79 & 335.175266057582 & 15.8063298884086 \tabularnewline
0.8 & 339.272691889606 & 16.5922073301446 \tabularnewline
0.81 & 343.682865863502 & 17.5036461801023 \tabularnewline
0.82 & 348.451340046223 & 18.5496440602772 \tabularnewline
0.83 & 353.624474024686 & 19.7033420721748 \tabularnewline
0.84 & 359.247230111026 & 20.9097338840297 \tabularnewline
0.85 & 365.368171570105 & 22.1176697206615 \tabularnewline
0.86 & 372.056720735337 & 23.336716950796 \tabularnewline
0.87 & 379.434622043412 & 24.7039213469463 \tabularnewline
0.88 & 387.717209379945 & 26.5228713125624 \tabularnewline
0.89 & 397.251838348197 & 29.2174678892879 \tabularnewline
0.9 & 408.532685676786 & 33.1798460683407 \tabularnewline
0.91 & 422.164277451465 & 38.5579611640019 \tabularnewline
0.92 & 438.743971570735 & 45.0565400466999 \tabularnewline
0.93 & 458.653181481559 & 51.723624375174 \tabularnewline
0.94 & 481.828451700209 & 56.8084431957694 \tabularnewline
0.95 & 507.756917692674 & 58.1933647924438 \tabularnewline
0.96 & 536.091096516549 & 55.0786333766962 \tabularnewline
0.97 & 567.888805804181 & 50.8493713098559 \tabularnewline
0.98 & 605.636960606747 & 54.4342714014572 \tabularnewline
0.99 & 647.760914064223 & 70.8469564102886 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212720&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]19.0101364068883[/C][C]11.4338113200552[/C][/ROW]
[ROW][C]0.02[/C][C]27.2745039132295[/C][C]13.6838292235691[/C][/ROW]
[ROW][C]0.03[/C][C]36.5376471091239[/C][C]15.7356841510552[/C][/ROW]
[ROW][C]0.04[/C][C]46.0479995488848[/C][C]18.9866049991014[/C][/ROW]
[ROW][C]0.05[/C][C]56.0675228214736[/C][C]23.7790029452602[/C][/ROW]
[ROW][C]0.06[/C][C]66.9538106105148[/C][C]28.6821962221157[/C][/ROW]
[ROW][C]0.07[/C][C]78.6827119298232[/C][C]32.2079382715706[/C][/ROW]
[ROW][C]0.08[/C][C]90.8382771300445[/C][C]33.7065795763963[/C][/ROW]
[ROW][C]0.09[/C][C]102.838426604372[/C][C]33.3255537566188[/C][/ROW]
[ROW][C]0.1[/C][C]114.162078465365[/C][C]31.5973652505599[/C][/ROW]
[ROW][C]0.11[/C][C]124.466247261215[/C][C]29.0807631906442[/C][/ROW]
[ROW][C]0.12[/C][C]133.599053501642[/C][C]26.2225475049876[/C][/ROW]
[ROW][C]0.13[/C][C]141.560294183685[/C][C]23.368551517264[/C][/ROW]
[ROW][C]0.14[/C][C]148.450860628523[/C][C]20.7906959603997[/C][/ROW]
[ROW][C]0.15[/C][C]154.427714927579[/C][C]18.6717960196469[/C][/ROW]
[ROW][C]0.16[/C][C]159.666883832383[/C][C]17.0725030833748[/C][/ROW]
[ROW][C]0.17[/C][C]164.334561115826[/C][C]15.9297122284355[/C][/ROW]
[ROW][C]0.18[/C][C]168.56798837961[/C][C]15.1039992981089[/C][/ROW]
[ROW][C]0.19[/C][C]172.467572377937[/C][C]14.448566700587[/C][/ROW]
[ROW][C]0.2[/C][C]176.099171416051[/C][C]13.8593183103585[/C][/ROW]
[ROW][C]0.21[/C][C]179.502836229689[/C][C]13.2882026125553[/C][/ROW]
[ROW][C]0.22[/C][C]182.703361722513[/C][C]12.7307380094298[/C][/ROW]
[ROW][C]0.23[/C][C]185.719034347299[/C][C]12.203875665602[/C][/ROW]
[ROW][C]0.24[/C][C]188.56699192156[/C][C]11.7260794418007[/C][/ROW]
[ROW][C]0.25[/C][C]191.265469101049[/C][C]11.3087264693293[/C][/ROW]
[ROW][C]0.26[/C][C]193.834173904464[/C][C]10.9573701177158[/C][/ROW]
[ROW][C]0.27[/C][C]196.294063693037[/C][C]10.6769024548862[/C][/ROW]
[ROW][C]0.28[/C][C]198.667235918615[/C][C]10.4768973287283[/C][/ROW]
[ROW][C]0.29[/C][C]200.977003715053[/C][C]10.3717097704277[/C][/ROW]
[ROW][C]0.3[/C][C]203.247831858693[/C][C]10.3765539584133[/C][/ROW]
[ROW][C]0.31[/C][C]205.504769079903[/C][C]10.4999782115168[/C][/ROW]
[ROW][C]0.32[/C][C]207.772233623463[/C][C]10.7393102021777[/C][/ROW]
[ROW][C]0.33[/C][C]210.072306778105[/C][C]11.0768555099105[/C][/ROW]
[ROW][C]0.34[/C][C]212.422900814192[/C][C]11.4849279440345[/C][/ROW]
[ROW][C]0.35[/C][C]214.836215047574[/C][C]11.9281925398021[/C][/ROW]
[ROW][C]0.36[/C][C]217.317790573105[/C][C]12.3702394566686[/C][/ROW]
[ROW][C]0.37[/C][C]219.866293561962[/C][C]12.7763735754569[/C][/ROW]
[ROW][C]0.38[/C][C]222.473983433045[/C][C]13.118642247544[/C][/ROW]
[ROW][C]0.39[/C][C]225.127713982383[/C][C]13.3734117200916[/C][/ROW]
[ROW][C]0.4[/C][C]227.810288730586[/C][C]13.5248870766263[/C][/ROW]
[ROW][C]0.41[/C][C]230.502025581016[/C][C]13.5644393392627[/C][/ROW]
[ROW][C]0.42[/C][C]233.182441133669[/C][C]13.4915770971044[/C][/ROW]
[ROW][C]0.43[/C][C]235.832004303908[/C][C]13.3140442245824[/C][/ROW]
[ROW][C]0.44[/C][C]238.433911060027[/C][C]13.048270233744[/C][/ROW]
[ROW][C]0.45[/C][C]240.9757970274[/C][C]12.7202184209318[/C][/ROW]
[ROW][C]0.46[/C][C]243.451249908071[/C][C]12.3642607867954[/C][/ROW]
[ROW][C]0.47[/C][C]245.860935623695[/C][C]12.0207251491295[/C][/ROW]
[ROW][C]0.48[/C][C]248.213136340195[/C][C]11.7337564486298[/C][/ROW]
[ROW][C]0.49[/C][C]250.523531271708[/C][C]11.5460199772195[/C][/ROW]
[ROW][C]0.5[/C][C]252.814134217781[/C][C]11.4912968346394[/C][/ROW]
[ROW][C]0.51[/C][C]255.111421750988[/C][C]11.5919401504005[/C][/ROW]
[ROW][C]0.52[/C][C]257.443817545286[/C][C]11.8509428932649[/C][/ROW]
[ROW][C]0.53[/C][C]259.83881117741[/C][C]12.2533978145399[/C][/ROW]
[ROW][C]0.54[/C][C]262.320057135878[/C][C]12.7667526290609[/C][/ROW]
[ROW][C]0.55[/C][C]264.904806678645[/C][C]13.3457722502773[/C][/ROW]
[ROW][C]0.56[/C][C]267.601972817011[/C][C]13.9395265315418[/C][/ROW]
[ROW][C]0.57[/C][C]270.411033863686[/C][C]14.4942913694293[/C][/ROW]
[ROW][C]0.58[/C][C]273.321869819971[/C][C]14.9620567329149[/C][/ROW]
[ROW][C]0.59[/C][C]276.315524283186[/C][C]15.2998693962517[/C][/ROW]
[ROW][C]0.6[/C][C]279.365808866734[/C][C]15.4774043923357[/C][/ROW]
[ROW][C]0.61[/C][C]282.441619044902[/C][C]15.475632529334[/C][/ROW]
[ROW][C]0.62[/C][C]285.509798373382[/C][C]15.2914484703289[/C][/ROW]
[ROW][C]0.63[/C][C]288.538354992358[/C][C]14.9376052601234[/C][/ROW]
[ROW][C]0.64[/C][C]291.49978764777[/C][C]14.4430896592552[/C][/ROW]
[ROW][C]0.65[/C][C]294.374219047748[/C][C]13.8522692808195[/C][/ROW]
[ROW][C]0.66[/C][C]297.151979757455[/C][C]13.2218715125619[/C][/ROW]
[ROW][C]0.67[/C][C]299.835266222138[/C][C]12.6163046257392[/C][/ROW]
[ROW][C]0.68[/C][C]302.438544383272[/C][C]12.1016165533882[/C][/ROW]
[ROW][C]0.69[/C][C]304.987507019425[/C][C]11.7355825510551[/C][/ROW]
[ROW][C]0.7[/C][C]307.51661628431[/C][C]11.5588727978185[/C][/ROW]
[ROW][C]0.71[/C][C]310.065540789034[/C][C]11.58865085798[/C][/ROW]
[ROW][C]0.72[/C][C]312.675069169407[/C][C]11.813516033401[/C][/ROW]
[ROW][C]0.73[/C][C]315.383274276633[/C][C]12.1988882449787[/C][/ROW]
[ROW][C]0.74[/C][C]318.222743643042[/C][C]12.6977947197194[/C][/ROW]
[ROW][C]0.75[/C][C]321.219539301355[/C][C]13.2636345658154[/C][/ROW]
[ROW][C]0.76[/C][C]324.394203270693[/C][C]13.8609201488587[/C][/ROW]
[ROW][C]0.77[/C][C]327.764632760373[/C][C]14.4743853571089[/C][/ROW]
[ROW][C]0.78[/C][C]331.350104794269[/C][C]15.1131767474317[/C][/ROW]
[ROW][C]0.79[/C][C]335.175266057582[/C][C]15.8063298884086[/C][/ROW]
[ROW][C]0.8[/C][C]339.272691889606[/C][C]16.5922073301446[/C][/ROW]
[ROW][C]0.81[/C][C]343.682865863502[/C][C]17.5036461801023[/C][/ROW]
[ROW][C]0.82[/C][C]348.451340046223[/C][C]18.5496440602772[/C][/ROW]
[ROW][C]0.83[/C][C]353.624474024686[/C][C]19.7033420721748[/C][/ROW]
[ROW][C]0.84[/C][C]359.247230111026[/C][C]20.9097338840297[/C][/ROW]
[ROW][C]0.85[/C][C]365.368171570105[/C][C]22.1176697206615[/C][/ROW]
[ROW][C]0.86[/C][C]372.056720735337[/C][C]23.336716950796[/C][/ROW]
[ROW][C]0.87[/C][C]379.434622043412[/C][C]24.7039213469463[/C][/ROW]
[ROW][C]0.88[/C][C]387.717209379945[/C][C]26.5228713125624[/C][/ROW]
[ROW][C]0.89[/C][C]397.251838348197[/C][C]29.2174678892879[/C][/ROW]
[ROW][C]0.9[/C][C]408.532685676786[/C][C]33.1798460683407[/C][/ROW]
[ROW][C]0.91[/C][C]422.164277451465[/C][C]38.5579611640019[/C][/ROW]
[ROW][C]0.92[/C][C]438.743971570735[/C][C]45.0565400466999[/C][/ROW]
[ROW][C]0.93[/C][C]458.653181481559[/C][C]51.723624375174[/C][/ROW]
[ROW][C]0.94[/C][C]481.828451700209[/C][C]56.8084431957694[/C][/ROW]
[ROW][C]0.95[/C][C]507.756917692674[/C][C]58.1933647924438[/C][/ROW]
[ROW][C]0.96[/C][C]536.091096516549[/C][C]55.0786333766962[/C][/ROW]
[ROW][C]0.97[/C][C]567.888805804181[/C][C]50.8493713098559[/C][/ROW]
[ROW][C]0.98[/C][C]605.636960606747[/C][C]54.4342714014572[/C][/ROW]
[ROW][C]0.99[/C][C]647.760914064223[/C][C]70.8469564102886[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212720&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212720&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
0.0119.010136406888311.4338113200552
0.0227.274503913229513.6838292235691
0.0336.537647109123915.7356841510552
0.0446.047999548884818.9866049991014
0.0556.067522821473623.7790029452602
0.0666.953810610514828.6821962221157
0.0778.682711929823232.2079382715706
0.0890.838277130044533.7065795763963
0.09102.83842660437233.3255537566188
0.1114.16207846536531.5973652505599
0.11124.46624726121529.0807631906442
0.12133.59905350164226.2225475049876
0.13141.56029418368523.368551517264
0.14148.45086062852320.7906959603997
0.15154.42771492757918.6717960196469
0.16159.66688383238317.0725030833748
0.17164.33456111582615.9297122284355
0.18168.5679883796115.1039992981089
0.19172.46757237793714.448566700587
0.2176.09917141605113.8593183103585
0.21179.50283622968913.2882026125553
0.22182.70336172251312.7307380094298
0.23185.71903434729912.203875665602
0.24188.5669919215611.7260794418007
0.25191.26546910104911.3087264693293
0.26193.83417390446410.9573701177158
0.27196.29406369303710.6769024548862
0.28198.66723591861510.4768973287283
0.29200.97700371505310.3717097704277
0.3203.24783185869310.3765539584133
0.31205.50476907990310.4999782115168
0.32207.77223362346310.7393102021777
0.33210.07230677810511.0768555099105
0.34212.42290081419211.4849279440345
0.35214.83621504757411.9281925398021
0.36217.31779057310512.3702394566686
0.37219.86629356196212.7763735754569
0.38222.47398343304513.118642247544
0.39225.12771398238313.3734117200916
0.4227.81028873058613.5248870766263
0.41230.50202558101613.5644393392627
0.42233.18244113366913.4915770971044
0.43235.83200430390813.3140442245824
0.44238.43391106002713.048270233744
0.45240.975797027412.7202184209318
0.46243.45124990807112.3642607867954
0.47245.86093562369512.0207251491295
0.48248.21313634019511.7337564486298
0.49250.52353127170811.5460199772195
0.5252.81413421778111.4912968346394
0.51255.11142175098811.5919401504005
0.52257.44381754528611.8509428932649
0.53259.8388111774112.2533978145399
0.54262.32005713587812.7667526290609
0.55264.90480667864513.3457722502773
0.56267.60197281701113.9395265315418
0.57270.41103386368614.4942913694293
0.58273.32186981997114.9620567329149
0.59276.31552428318615.2998693962517
0.6279.36580886673415.4774043923357
0.61282.44161904490215.475632529334
0.62285.50979837338215.2914484703289
0.63288.53835499235814.9376052601234
0.64291.4997876477714.4430896592552
0.65294.37421904774813.8522692808195
0.66297.15197975745513.2218715125619
0.67299.83526622213812.6163046257392
0.68302.43854438327212.1016165533882
0.69304.98750701942511.7355825510551
0.7307.5166162843111.5588727978185
0.71310.06554078903411.58865085798
0.72312.67506916940711.813516033401
0.73315.38327427663312.1988882449787
0.74318.22274364304212.6977947197194
0.75321.21953930135513.2636345658154
0.76324.39420327069313.8609201488587
0.77327.76463276037314.4743853571089
0.78331.35010479426915.1131767474317
0.79335.17526605758215.8063298884086
0.8339.27269188960616.5922073301446
0.81343.68286586350217.5036461801023
0.82348.45134004622318.5496440602772
0.83353.62447402468619.7033420721748
0.84359.24723011102620.9097338840297
0.85365.36817157010522.1176697206615
0.86372.05672073533723.336716950796
0.87379.43462204341224.7039213469463
0.88387.71720937994526.5228713125624
0.89397.25183834819729.2174678892879
0.9408.53268567678633.1798460683407
0.91422.16427745146538.5579611640019
0.92438.74397157073545.0565400466999
0.93458.65318148155951.723624375174
0.94481.82845170020956.8084431957694
0.95507.75691769267458.1933647924438
0.96536.09109651654955.0786333766962
0.97567.88880580418150.8493713098559
0.98605.63696060674754.4342714014572
0.99647.76091406422370.8469564102886


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')