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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, 05 Aug 2014 09:54:09 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Aug/05/t1407228880kd3mnucw2ngta5u.htm/, Retrieved Thu, 16 May 2024 03:58:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235405, Retrieved Thu, 16 May 2024 03:58:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsInes Van Dessel
Estimated Impact137

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Tijdreeks 1 - Stap 3] [2014-08-03 19:11:32] [ae3d1feb555b13e324db089723206180]
- R P   [Histogram] [Tijdreeks 1 - Stap 5] [2014-08-04 09:44:37] [74be16979710d4c4e7c6647856088456]
-   P     [Histogram] [Tijdreeks 1 - Stap 5] [2014-08-04 09:47:49] [74be16979710d4c4e7c6647856088456]
- RMP       [(Partial) Autocorrelation Function] [Tijdreeks 1 - Sta...] [2014-08-04 16:49:46] [ae3d1feb555b13e324db089723206180]
- R P         [(Partial) Autocorrelation Function] [Tijdreeks 1 - Sta...] [2014-08-05 08:15:03] [74be16979710d4c4e7c6647856088456]
- RMPD          [Harrell-Davis Quantiles] [Tijdreeks 2 - Stap 6] [2014-08-05 08:50:48] [ae3d1feb555b13e324db089723206180]
- R P               [Harrell-Davis Quantiles] [Tijdreeks 2 - Stap 7] [2014-08-05 08:54:09] [188bf81caccb86647293be436f272d1b] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
340
307
380
347
313
333
347
333
387
307
353
407
307
253
380
320
353
353
387
280
387
307
347
427
253
240
407
293
347
360
387
240
333
353
313
440
273
240
407
240
360
373
387
320
373
373
260
420
253
293
413
207
333
440
280
367
380
373
193
373
213
293
407
167
340
447
233
393
333
353
200
413
187
300
413
213
373
453
247
447
340
320
187
380
160
307
400
213
380
453
260
467
380
300
180
427
153
327
393
207
380
440
247
400
360
340
220
393

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235405&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235405&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235405&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01157.8103912133488.1851279727796
0.02165.6459075986410.7458141665836
0.03173.88367313069911.6877034283064
0.04181.3664983936111.2070965209662
0.05187.83236026745410.7454038347312
0.06193.4892380379810.7324722597113
0.07198.62575803333310.8453688784382
0.08203.42753527885110.9440955671039
0.09208.00817988378811.2019085187744
0.1212.47279050706311.7633916666993
0.11216.91546028504112.5118311513454
0.12221.37743948560113.1472515960653
0.13225.82506146066413.4081927552993
0.14230.17198361159313.2227453417622
0.15234.32953243906412.7284987336365
0.16238.2535883362812.1914788624792
0.17241.96587597253711.8854185133478
0.18245.54623230373611.9912163274125
0.19249.10617484717212.5536836447379
0.2252.7576617258313.4972543386942
0.21256.58715078694414.6698401607498
0.22260.6394183649115.8838619618301
0.23264.91166543724716.9516954236729
0.24269.35671782442217.713478568226
0.25273.89346871852518.0620826740178
0.26278.42212645028317.9589194968487
0.27282.84122179029517.4351002715799
0.28287.06314561851316.5775608781824
0.29291.0255565847515.5113542124966
0.3294.69719075778614.3726597553039
0.31298.07796376397613.290242185081
0.32301.19432899804712.3673130521491
0.33304.09143664359611.6689785643206
0.34306.82378199143911.2193217894559
0.35309.44591232398910.9983574587458
0.36312.00452054761210.9514447924646
0.37314.53293510780911.0031719025014
0.38317.04860210868711.0743773403208
0.39319.55364358154211.0979003081057
0.4322.03802647784111.0297995800206
0.41324.48440980877110.8513738376087
0.42326.87348070573610.5712534905819
0.43329.18862151009110.2158750572407
0.44331.4190592295729.82311084522179
0.45333.5611390534659.43011237446082
0.46335.6178860475359.0673038066123
0.47337.5974236640838.753187723246
0.48339.5110012966818.49492807119373
0.49341.3713178328858.2926040264023
0.5343.1915621411588.14367431369164
0.51344.9852264247988.04917450431072
0.52346.7664050834098.01313270988048
0.53348.5500755627898.04450264286892
0.54350.3518334217878.1480384840189
0.55352.1867315171158.32230712280834
0.56354.0672045448678.55081991341009
0.57356.0004461837898.80302153347679
0.58357.9859184027379.03436356159901
0.59360.0137898985049.19632561149298
0.6362.0649543068479.24418098952616
0.61364.1128897482659.14758492182505
0.62366.1271079325058.8968788391053
0.63368.0774836686238.50564715063783
0.64369.9385237339618.00628436688938
0.65371.6927086302057.44485613164633
0.66373.3323733104196.86965786870872
0.67374.860029876166.32770626694961
0.68376.2873993607095.85646648124964
0.69377.6336030123415.48242510899577
0.7378.9229723075855.22323405373645
0.71380.1828592442615.08544103812435
0.72381.4417474797155.0660272403144
0.73382.7278862194775.15598345322627
0.74384.0685240738195.34260028868808
0.75385.4895530442285.61554020035323
0.76387.0150431826135.96541657050129
0.77388.6659616072086.37902900327646
0.78390.4575797370546.83130997888444
0.79392.395797427497.27904421455174
0.8394.4736700944227.66444791944838
0.81396.6703155207567.92807857278327
0.82398.9544710062268.03020164604825
0.83401.2938457318477.97348271685101
0.84403.6691679403567.81809315662352
0.85406.0891653755257.67987321356928
0.86408.6006849650787.70505315078348
0.87411.2876942290348.0157289335805
0.88414.2545954650578.64442823161416
0.89417.5935071208569.48772873423044
0.9421.34223326096510.3121319252286
0.91425.44876674523510.8132931301774
0.92429.76486001931410.7274421478433
0.93434.0859631841229.97015551796403
0.94438.2298852916848.72340538281534
0.95442.1131665577147.36105780802794
0.96445.7922937485326.19485908755008
0.97449.5619887998645.33191076915665
0.98454.2746417699955.49382007287143
0.99460.9355122380399.00168613373916

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 157.810391213348 & 8.1851279727796 \tabularnewline
0.02 & 165.64590759864 & 10.7458141665836 \tabularnewline
0.03 & 173.883673130699 & 11.6877034283064 \tabularnewline
0.04 & 181.36649839361 & 11.2070965209662 \tabularnewline
0.05 & 187.832360267454 & 10.7454038347312 \tabularnewline
0.06 & 193.48923803798 & 10.7324722597113 \tabularnewline
0.07 & 198.625758033333 & 10.8453688784382 \tabularnewline
0.08 & 203.427535278851 & 10.9440955671039 \tabularnewline
0.09 & 208.008179883788 & 11.2019085187744 \tabularnewline
0.1 & 212.472790507063 & 11.7633916666993 \tabularnewline
0.11 & 216.915460285041 & 12.5118311513454 \tabularnewline
0.12 & 221.377439485601 & 13.1472515960653 \tabularnewline
0.13 & 225.825061460664 & 13.4081927552993 \tabularnewline
0.14 & 230.171983611593 & 13.2227453417622 \tabularnewline
0.15 & 234.329532439064 & 12.7284987336365 \tabularnewline
0.16 & 238.25358833628 & 12.1914788624792 \tabularnewline
0.17 & 241.965875972537 & 11.8854185133478 \tabularnewline
0.18 & 245.546232303736 & 11.9912163274125 \tabularnewline
0.19 & 249.106174847172 & 12.5536836447379 \tabularnewline
0.2 & 252.75766172583 & 13.4972543386942 \tabularnewline
0.21 & 256.587150786944 & 14.6698401607498 \tabularnewline
0.22 & 260.63941836491 & 15.8838619618301 \tabularnewline
0.23 & 264.911665437247 & 16.9516954236729 \tabularnewline
0.24 & 269.356717824422 & 17.713478568226 \tabularnewline
0.25 & 273.893468718525 & 18.0620826740178 \tabularnewline
0.26 & 278.422126450283 & 17.9589194968487 \tabularnewline
0.27 & 282.841221790295 & 17.4351002715799 \tabularnewline
0.28 & 287.063145618513 & 16.5775608781824 \tabularnewline
0.29 & 291.02555658475 & 15.5113542124966 \tabularnewline
0.3 & 294.697190757786 & 14.3726597553039 \tabularnewline
0.31 & 298.077963763976 & 13.290242185081 \tabularnewline
0.32 & 301.194328998047 & 12.3673130521491 \tabularnewline
0.33 & 304.091436643596 & 11.6689785643206 \tabularnewline
0.34 & 306.823781991439 & 11.2193217894559 \tabularnewline
0.35 & 309.445912323989 & 10.9983574587458 \tabularnewline
0.36 & 312.004520547612 & 10.9514447924646 \tabularnewline
0.37 & 314.532935107809 & 11.0031719025014 \tabularnewline
0.38 & 317.048602108687 & 11.0743773403208 \tabularnewline
0.39 & 319.553643581542 & 11.0979003081057 \tabularnewline
0.4 & 322.038026477841 & 11.0297995800206 \tabularnewline
0.41 & 324.484409808771 & 10.8513738376087 \tabularnewline
0.42 & 326.873480705736 & 10.5712534905819 \tabularnewline
0.43 & 329.188621510091 & 10.2158750572407 \tabularnewline
0.44 & 331.419059229572 & 9.82311084522179 \tabularnewline
0.45 & 333.561139053465 & 9.43011237446082 \tabularnewline
0.46 & 335.617886047535 & 9.0673038066123 \tabularnewline
0.47 & 337.597423664083 & 8.753187723246 \tabularnewline
0.48 & 339.511001296681 & 8.49492807119373 \tabularnewline
0.49 & 341.371317832885 & 8.2926040264023 \tabularnewline
0.5 & 343.191562141158 & 8.14367431369164 \tabularnewline
0.51 & 344.985226424798 & 8.04917450431072 \tabularnewline
0.52 & 346.766405083409 & 8.01313270988048 \tabularnewline
0.53 & 348.550075562789 & 8.04450264286892 \tabularnewline
0.54 & 350.351833421787 & 8.1480384840189 \tabularnewline
0.55 & 352.186731517115 & 8.32230712280834 \tabularnewline
0.56 & 354.067204544867 & 8.55081991341009 \tabularnewline
0.57 & 356.000446183789 & 8.80302153347679 \tabularnewline
0.58 & 357.985918402737 & 9.03436356159901 \tabularnewline
0.59 & 360.013789898504 & 9.19632561149298 \tabularnewline
0.6 & 362.064954306847 & 9.24418098952616 \tabularnewline
0.61 & 364.112889748265 & 9.14758492182505 \tabularnewline
0.62 & 366.127107932505 & 8.8968788391053 \tabularnewline
0.63 & 368.077483668623 & 8.50564715063783 \tabularnewline
0.64 & 369.938523733961 & 8.00628436688938 \tabularnewline
0.65 & 371.692708630205 & 7.44485613164633 \tabularnewline
0.66 & 373.332373310419 & 6.86965786870872 \tabularnewline
0.67 & 374.86002987616 & 6.32770626694961 \tabularnewline
0.68 & 376.287399360709 & 5.85646648124964 \tabularnewline
0.69 & 377.633603012341 & 5.48242510899577 \tabularnewline
0.7 & 378.922972307585 & 5.22323405373645 \tabularnewline
0.71 & 380.182859244261 & 5.08544103812435 \tabularnewline
0.72 & 381.441747479715 & 5.0660272403144 \tabularnewline
0.73 & 382.727886219477 & 5.15598345322627 \tabularnewline
0.74 & 384.068524073819 & 5.34260028868808 \tabularnewline
0.75 & 385.489553044228 & 5.61554020035323 \tabularnewline
0.76 & 387.015043182613 & 5.96541657050129 \tabularnewline
0.77 & 388.665961607208 & 6.37902900327646 \tabularnewline
0.78 & 390.457579737054 & 6.83130997888444 \tabularnewline
0.79 & 392.39579742749 & 7.27904421455174 \tabularnewline
0.8 & 394.473670094422 & 7.66444791944838 \tabularnewline
0.81 & 396.670315520756 & 7.92807857278327 \tabularnewline
0.82 & 398.954471006226 & 8.03020164604825 \tabularnewline
0.83 & 401.293845731847 & 7.97348271685101 \tabularnewline
0.84 & 403.669167940356 & 7.81809315662352 \tabularnewline
0.85 & 406.089165375525 & 7.67987321356928 \tabularnewline
0.86 & 408.600684965078 & 7.70505315078348 \tabularnewline
0.87 & 411.287694229034 & 8.0157289335805 \tabularnewline
0.88 & 414.254595465057 & 8.64442823161416 \tabularnewline
0.89 & 417.593507120856 & 9.48772873423044 \tabularnewline
0.9 & 421.342233260965 & 10.3121319252286 \tabularnewline
0.91 & 425.448766745235 & 10.8132931301774 \tabularnewline
0.92 & 429.764860019314 & 10.7274421478433 \tabularnewline
0.93 & 434.085963184122 & 9.97015551796403 \tabularnewline
0.94 & 438.229885291684 & 8.72340538281534 \tabularnewline
0.95 & 442.113166557714 & 7.36105780802794 \tabularnewline
0.96 & 445.792293748532 & 6.19485908755008 \tabularnewline
0.97 & 449.561988799864 & 5.33191076915665 \tabularnewline
0.98 & 454.274641769995 & 5.49382007287143 \tabularnewline
0.99 & 460.935512238039 & 9.00168613373916 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235405&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]157.810391213348[/C][C]8.1851279727796[/C][/ROW]
[ROW][C]0.02[/C][C]165.64590759864[/C][C]10.7458141665836[/C][/ROW]
[ROW][C]0.03[/C][C]173.883673130699[/C][C]11.6877034283064[/C][/ROW]
[ROW][C]0.04[/C][C]181.36649839361[/C][C]11.2070965209662[/C][/ROW]
[ROW][C]0.05[/C][C]187.832360267454[/C][C]10.7454038347312[/C][/ROW]
[ROW][C]0.06[/C][C]193.48923803798[/C][C]10.7324722597113[/C][/ROW]
[ROW][C]0.07[/C][C]198.625758033333[/C][C]10.8453688784382[/C][/ROW]
[ROW][C]0.08[/C][C]203.427535278851[/C][C]10.9440955671039[/C][/ROW]
[ROW][C]0.09[/C][C]208.008179883788[/C][C]11.2019085187744[/C][/ROW]
[ROW][C]0.1[/C][C]212.472790507063[/C][C]11.7633916666993[/C][/ROW]
[ROW][C]0.11[/C][C]216.915460285041[/C][C]12.5118311513454[/C][/ROW]
[ROW][C]0.12[/C][C]221.377439485601[/C][C]13.1472515960653[/C][/ROW]
[ROW][C]0.13[/C][C]225.825061460664[/C][C]13.4081927552993[/C][/ROW]
[ROW][C]0.14[/C][C]230.171983611593[/C][C]13.2227453417622[/C][/ROW]
[ROW][C]0.15[/C][C]234.329532439064[/C][C]12.7284987336365[/C][/ROW]
[ROW][C]0.16[/C][C]238.25358833628[/C][C]12.1914788624792[/C][/ROW]
[ROW][C]0.17[/C][C]241.965875972537[/C][C]11.8854185133478[/C][/ROW]
[ROW][C]0.18[/C][C]245.546232303736[/C][C]11.9912163274125[/C][/ROW]
[ROW][C]0.19[/C][C]249.106174847172[/C][C]12.5536836447379[/C][/ROW]
[ROW][C]0.2[/C][C]252.75766172583[/C][C]13.4972543386942[/C][/ROW]
[ROW][C]0.21[/C][C]256.587150786944[/C][C]14.6698401607498[/C][/ROW]
[ROW][C]0.22[/C][C]260.63941836491[/C][C]15.8838619618301[/C][/ROW]
[ROW][C]0.23[/C][C]264.911665437247[/C][C]16.9516954236729[/C][/ROW]
[ROW][C]0.24[/C][C]269.356717824422[/C][C]17.713478568226[/C][/ROW]
[ROW][C]0.25[/C][C]273.893468718525[/C][C]18.0620826740178[/C][/ROW]
[ROW][C]0.26[/C][C]278.422126450283[/C][C]17.9589194968487[/C][/ROW]
[ROW][C]0.27[/C][C]282.841221790295[/C][C]17.4351002715799[/C][/ROW]
[ROW][C]0.28[/C][C]287.063145618513[/C][C]16.5775608781824[/C][/ROW]
[ROW][C]0.29[/C][C]291.02555658475[/C][C]15.5113542124966[/C][/ROW]
[ROW][C]0.3[/C][C]294.697190757786[/C][C]14.3726597553039[/C][/ROW]
[ROW][C]0.31[/C][C]298.077963763976[/C][C]13.290242185081[/C][/ROW]
[ROW][C]0.32[/C][C]301.194328998047[/C][C]12.3673130521491[/C][/ROW]
[ROW][C]0.33[/C][C]304.091436643596[/C][C]11.6689785643206[/C][/ROW]
[ROW][C]0.34[/C][C]306.823781991439[/C][C]11.2193217894559[/C][/ROW]
[ROW][C]0.35[/C][C]309.445912323989[/C][C]10.9983574587458[/C][/ROW]
[ROW][C]0.36[/C][C]312.004520547612[/C][C]10.9514447924646[/C][/ROW]
[ROW][C]0.37[/C][C]314.532935107809[/C][C]11.0031719025014[/C][/ROW]
[ROW][C]0.38[/C][C]317.048602108687[/C][C]11.0743773403208[/C][/ROW]
[ROW][C]0.39[/C][C]319.553643581542[/C][C]11.0979003081057[/C][/ROW]
[ROW][C]0.4[/C][C]322.038026477841[/C][C]11.0297995800206[/C][/ROW]
[ROW][C]0.41[/C][C]324.484409808771[/C][C]10.8513738376087[/C][/ROW]
[ROW][C]0.42[/C][C]326.873480705736[/C][C]10.5712534905819[/C][/ROW]
[ROW][C]0.43[/C][C]329.188621510091[/C][C]10.2158750572407[/C][/ROW]
[ROW][C]0.44[/C][C]331.419059229572[/C][C]9.82311084522179[/C][/ROW]
[ROW][C]0.45[/C][C]333.561139053465[/C][C]9.43011237446082[/C][/ROW]
[ROW][C]0.46[/C][C]335.617886047535[/C][C]9.0673038066123[/C][/ROW]
[ROW][C]0.47[/C][C]337.597423664083[/C][C]8.753187723246[/C][/ROW]
[ROW][C]0.48[/C][C]339.511001296681[/C][C]8.49492807119373[/C][/ROW]
[ROW][C]0.49[/C][C]341.371317832885[/C][C]8.2926040264023[/C][/ROW]
[ROW][C]0.5[/C][C]343.191562141158[/C][C]8.14367431369164[/C][/ROW]
[ROW][C]0.51[/C][C]344.985226424798[/C][C]8.04917450431072[/C][/ROW]
[ROW][C]0.52[/C][C]346.766405083409[/C][C]8.01313270988048[/C][/ROW]
[ROW][C]0.53[/C][C]348.550075562789[/C][C]8.04450264286892[/C][/ROW]
[ROW][C]0.54[/C][C]350.351833421787[/C][C]8.1480384840189[/C][/ROW]
[ROW][C]0.55[/C][C]352.186731517115[/C][C]8.32230712280834[/C][/ROW]
[ROW][C]0.56[/C][C]354.067204544867[/C][C]8.55081991341009[/C][/ROW]
[ROW][C]0.57[/C][C]356.000446183789[/C][C]8.80302153347679[/C][/ROW]
[ROW][C]0.58[/C][C]357.985918402737[/C][C]9.03436356159901[/C][/ROW]
[ROW][C]0.59[/C][C]360.013789898504[/C][C]9.19632561149298[/C][/ROW]
[ROW][C]0.6[/C][C]362.064954306847[/C][C]9.24418098952616[/C][/ROW]
[ROW][C]0.61[/C][C]364.112889748265[/C][C]9.14758492182505[/C][/ROW]
[ROW][C]0.62[/C][C]366.127107932505[/C][C]8.8968788391053[/C][/ROW]
[ROW][C]0.63[/C][C]368.077483668623[/C][C]8.50564715063783[/C][/ROW]
[ROW][C]0.64[/C][C]369.938523733961[/C][C]8.00628436688938[/C][/ROW]
[ROW][C]0.65[/C][C]371.692708630205[/C][C]7.44485613164633[/C][/ROW]
[ROW][C]0.66[/C][C]373.332373310419[/C][C]6.86965786870872[/C][/ROW]
[ROW][C]0.67[/C][C]374.86002987616[/C][C]6.32770626694961[/C][/ROW]
[ROW][C]0.68[/C][C]376.287399360709[/C][C]5.85646648124964[/C][/ROW]
[ROW][C]0.69[/C][C]377.633603012341[/C][C]5.48242510899577[/C][/ROW]
[ROW][C]0.7[/C][C]378.922972307585[/C][C]5.22323405373645[/C][/ROW]
[ROW][C]0.71[/C][C]380.182859244261[/C][C]5.08544103812435[/C][/ROW]
[ROW][C]0.72[/C][C]381.441747479715[/C][C]5.0660272403144[/C][/ROW]
[ROW][C]0.73[/C][C]382.727886219477[/C][C]5.15598345322627[/C][/ROW]
[ROW][C]0.74[/C][C]384.068524073819[/C][C]5.34260028868808[/C][/ROW]
[ROW][C]0.75[/C][C]385.489553044228[/C][C]5.61554020035323[/C][/ROW]
[ROW][C]0.76[/C][C]387.015043182613[/C][C]5.96541657050129[/C][/ROW]
[ROW][C]0.77[/C][C]388.665961607208[/C][C]6.37902900327646[/C][/ROW]
[ROW][C]0.78[/C][C]390.457579737054[/C][C]6.83130997888444[/C][/ROW]
[ROW][C]0.79[/C][C]392.39579742749[/C][C]7.27904421455174[/C][/ROW]
[ROW][C]0.8[/C][C]394.473670094422[/C][C]7.66444791944838[/C][/ROW]
[ROW][C]0.81[/C][C]396.670315520756[/C][C]7.92807857278327[/C][/ROW]
[ROW][C]0.82[/C][C]398.954471006226[/C][C]8.03020164604825[/C][/ROW]
[ROW][C]0.83[/C][C]401.293845731847[/C][C]7.97348271685101[/C][/ROW]
[ROW][C]0.84[/C][C]403.669167940356[/C][C]7.81809315662352[/C][/ROW]
[ROW][C]0.85[/C][C]406.089165375525[/C][C]7.67987321356928[/C][/ROW]
[ROW][C]0.86[/C][C]408.600684965078[/C][C]7.70505315078348[/C][/ROW]
[ROW][C]0.87[/C][C]411.287694229034[/C][C]8.0157289335805[/C][/ROW]
[ROW][C]0.88[/C][C]414.254595465057[/C][C]8.64442823161416[/C][/ROW]
[ROW][C]0.89[/C][C]417.593507120856[/C][C]9.48772873423044[/C][/ROW]
[ROW][C]0.9[/C][C]421.342233260965[/C][C]10.3121319252286[/C][/ROW]
[ROW][C]0.91[/C][C]425.448766745235[/C][C]10.8132931301774[/C][/ROW]
[ROW][C]0.92[/C][C]429.764860019314[/C][C]10.7274421478433[/C][/ROW]
[ROW][C]0.93[/C][C]434.085963184122[/C][C]9.97015551796403[/C][/ROW]
[ROW][C]0.94[/C][C]438.229885291684[/C][C]8.72340538281534[/C][/ROW]
[ROW][C]0.95[/C][C]442.113166557714[/C][C]7.36105780802794[/C][/ROW]
[ROW][C]0.96[/C][C]445.792293748532[/C][C]6.19485908755008[/C][/ROW]
[ROW][C]0.97[/C][C]449.561988799864[/C][C]5.33191076915665[/C][/ROW]
[ROW][C]0.98[/C][C]454.274641769995[/C][C]5.49382007287143[/C][/ROW]
[ROW][C]0.99[/C][C]460.935512238039[/C][C]9.00168613373916[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235405&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235405&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
0.01157.8103912133488.1851279727796
0.02165.6459075986410.7458141665836
0.03173.88367313069911.6877034283064
0.04181.3664983936111.2070965209662
0.05187.83236026745410.7454038347312
0.06193.4892380379810.7324722597113
0.07198.62575803333310.8453688784382
0.08203.42753527885110.9440955671039
0.09208.00817988378811.2019085187744
0.1212.47279050706311.7633916666993
0.11216.91546028504112.5118311513454
0.12221.37743948560113.1472515960653
0.13225.82506146066413.4081927552993
0.14230.17198361159313.2227453417622
0.15234.32953243906412.7284987336365
0.16238.2535883362812.1914788624792
0.17241.96587597253711.8854185133478
0.18245.54623230373611.9912163274125
0.19249.10617484717212.5536836447379
0.2252.7576617258313.4972543386942
0.21256.58715078694414.6698401607498
0.22260.6394183649115.8838619618301
0.23264.91166543724716.9516954236729
0.24269.35671782442217.713478568226
0.25273.89346871852518.0620826740178
0.26278.42212645028317.9589194968487
0.27282.84122179029517.4351002715799
0.28287.06314561851316.5775608781824
0.29291.0255565847515.5113542124966
0.3294.69719075778614.3726597553039
0.31298.07796376397613.290242185081
0.32301.19432899804712.3673130521491
0.33304.09143664359611.6689785643206
0.34306.82378199143911.2193217894559
0.35309.44591232398910.9983574587458
0.36312.00452054761210.9514447924646
0.37314.53293510780911.0031719025014
0.38317.04860210868711.0743773403208
0.39319.55364358154211.0979003081057
0.4322.03802647784111.0297995800206
0.41324.48440980877110.8513738376087
0.42326.87348070573610.5712534905819
0.43329.18862151009110.2158750572407
0.44331.4190592295729.82311084522179
0.45333.5611390534659.43011237446082
0.46335.6178860475359.0673038066123
0.47337.5974236640838.753187723246
0.48339.5110012966818.49492807119373
0.49341.3713178328858.2926040264023
0.5343.1915621411588.14367431369164
0.51344.9852264247988.04917450431072
0.52346.7664050834098.01313270988048
0.53348.5500755627898.04450264286892
0.54350.3518334217878.1480384840189
0.55352.1867315171158.32230712280834
0.56354.0672045448678.55081991341009
0.57356.0004461837898.80302153347679
0.58357.9859184027379.03436356159901
0.59360.0137898985049.19632561149298
0.6362.0649543068479.24418098952616
0.61364.1128897482659.14758492182505
0.62366.1271079325058.8968788391053
0.63368.0774836686238.50564715063783
0.64369.9385237339618.00628436688938
0.65371.6927086302057.44485613164633
0.66373.3323733104196.86965786870872
0.67374.860029876166.32770626694961
0.68376.2873993607095.85646648124964
0.69377.6336030123415.48242510899577
0.7378.9229723075855.22323405373645
0.71380.1828592442615.08544103812435
0.72381.4417474797155.0660272403144
0.73382.7278862194775.15598345322627
0.74384.0685240738195.34260028868808
0.75385.4895530442285.61554020035323
0.76387.0150431826135.96541657050129
0.77388.6659616072086.37902900327646
0.78390.4575797370546.83130997888444
0.79392.395797427497.27904421455174
0.8394.4736700944227.66444791944838
0.81396.6703155207567.92807857278327
0.82398.9544710062268.03020164604825
0.83401.2938457318477.97348271685101
0.84403.6691679403567.81809315662352
0.85406.0891653755257.67987321356928
0.86408.6006849650787.70505315078348
0.87411.2876942290348.0157289335805
0.88414.2545954650578.64442823161416
0.89417.5935071208569.48772873423044
0.9421.34223326096510.3121319252286
0.91425.44876674523510.8132931301774
0.92429.76486001931410.7274421478433
0.93434.0859631841229.97015551796403
0.94438.2298852916848.72340538281534
0.95442.1131665577147.36105780802794
0.96445.7922937485326.19485908755008
0.97449.5619887998645.33191076915665
0.98454.2746417699955.49382007287143
0.99460.9355122380399.00168613373916


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')