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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 20 Oct 2008 08:35:40 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/20/t1224513393i7saia6uyycr3h1.htm/, Retrieved Sun, 19 May 2024 16:35:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17374, Retrieved Sun, 19 May 2024 16:35:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [werkloosheid mannen] [2008-10-13 15:39:35] [e43247bc0ab243a5af99ac7f55ba0b41]
F   PD  [Univariate Data Series] [werkloosheid bove...] [2008-10-13 15:53:52] [e43247bc0ab243a5af99ac7f55ba0b41]
- RMP       [Harrell-Davis Quantiles] [harrel davis reeks 4] [2008-10-20 14:35:40] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.0
6.9
6.7
6.6
6.5
6.4
6.5
6.5
6.6
6.7
6.8
7.2
7.6
7.6
7.3
6.4
6.1
6.3
7.1
7.5
7.4
7.1
6.8
6.9
7.2
7.4
7.3
6.9
6.9
6.8
7.1
7.2
7.1
7.0
6.9
7.0
7.4
7.5
7.5
7.4
7.3
7.0
6.7
6.5
6.5
6.5
6.6
6.8
6.9
6.9
6.8
6.8
6.5
6.1
6.0
5.9
5.8
5.9
5.9
6.2
6.3
6.2
6.0
5.8
5.5
5.5
5.7
5.8

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17374&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17374&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17374&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.516718817237740.0507216293227247
0.025.554207978909020.102989743729544
0.035.606866878753910.127230372817367
0.045.663933170064570.123284854409472
0.055.716535641550740.105741031927229
0.065.760754531303660.0883701571339926
0.075.796864221453890.0781757952216234
0.085.827173790203760.075780449056147
0.095.85426068076470.0786727906758043
0.15.880122154023710.0843927583174835
0.115.906021214484610.091557653299791
0.125.932644016403870.09945972717522
0.135.960306217298310.107631783032855
0.145.989102668285480.115639390156115
0.156.018992042748270.123098890782986
0.166.049841705915540.129699453985884
0.176.081455872489360.135241745300662
0.186.113597618587570.139611662147412
0.196.146006208116290.142739389643404
0.26.178408505359450.144557715094801
0.216.210524687608950.144994331154172
0.226.242070818004430.143952894981245
0.236.272762061619850.141364600386172
0.246.302319896349970.137210567702391
0.256.330485003520970.131560759224820
0.266.357035366105540.124602915395821
0.276.381807140285060.116662988669267
0.286.404714576896530.108185776962251
0.296.425764900655640.0997088633060763
0.36.445064638077830.0918336329409101
0.316.462815256857220.0851397683547146
0.326.47929782258790.0801323127309549
0.336.494848288347860.0771519110762456
0.346.509826607385430.0762964730168231
0.356.524583793162860.0774039596657188
0.366.539431200986050.0800916062374628
0.376.554615711859530.0838483049458721
0.386.570303357809230.0881096741701866
0.396.586572523341690.0923441023767117
0.46.603416482230520.0961036798942927
0.416.620753911688490.0990279993538016
0.426.638445292434730.100874620698741
0.436.656312770501860.101505667366693
0.446.674161061925660.100904336452481
0.456.691797225957150.0991635341568366
0.466.709047524125220.0964416637388992
0.476.72577006166870.0929699189590291
0.486.741862448842210.0889997108215335
0.496.75726431173670.0848046181290583
0.56.771955102219220.0806206015094658
0.516.78594824699470.0766444529133704
0.526.799283142597860.0730007930873471
0.536.812016736387790.0697544341435572
0.546.824216345675730.0669190122950547
0.556.835954933914280.0644657776500998
0.566.847309350792750.0623772795797129
0.576.858361207299260.0606615936644274
0.586.869199307031230.0593663665698669
0.596.879922096836510.0585899243019244
0.66.890638570238820.0584183748772631
0.616.901466476821720.0589449962898944
0.626.912527451697190.0602003849949844
0.636.92393957303970.0621229310531135
0.646.935808635459890.0645947058709126
0.656.948219880915870.0674291166628573
0.666.961231941064250.0704249373459403
0.676.974874323359480.0733788308770984
0.686.989149037394810.0761281213368561
0.697.004036095377880.0785607592986909
0.77.019501830128540.0806335103059665
0.717.035508417503350.0823512247954343
0.727.052022765200990.083776707559308
0.737.069023063661820.0850005444723207
0.747.0865017506240.086121990142954
0.757.10446432701780.0872273427193395
0.767.122924239097930.0883394470207808
0.777.141894739079960.0894555848924406
0.787.161379088876310.0904860148736844
0.797.181360585569350.0913102937685806
0.87.201793719229730.0917751286012391
0.817.222597567749530.0917143233581945
0.827.243652647242650.0909726685059764
0.837.264803098972740.0894078522178981
0.847.28586703274060.0869210270004616
0.857.306658004312860.0834826228296732
0.867.327018338255060.0791935462125715
0.877.346859179634420.0743377425084838
0.887.366194065357690.0694056264293173
0.897.385147858388650.0650184173641308
0.97.40392964664420.0616689170556089
0.917.422782051592950.0593647545387061
0.927.441950782021090.0575291923226263
0.937.461723247531780.0555064402239184
0.947.482516657929610.0534883227205867
0.957.504848351294370.0528786904360777
0.967.528915637165170.0543297457572078
0.977.553715988399750.0540232199961226
0.987.576319239130460.0443802041205868
0.997.592587138267680.0225556457767786

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.51671881723774 & 0.0507216293227247 \tabularnewline
0.02 & 5.55420797890902 & 0.102989743729544 \tabularnewline
0.03 & 5.60686687875391 & 0.127230372817367 \tabularnewline
0.04 & 5.66393317006457 & 0.123284854409472 \tabularnewline
0.05 & 5.71653564155074 & 0.105741031927229 \tabularnewline
0.06 & 5.76075453130366 & 0.0883701571339926 \tabularnewline
0.07 & 5.79686422145389 & 0.0781757952216234 \tabularnewline
0.08 & 5.82717379020376 & 0.075780449056147 \tabularnewline
0.09 & 5.8542606807647 & 0.0786727906758043 \tabularnewline
0.1 & 5.88012215402371 & 0.0843927583174835 \tabularnewline
0.11 & 5.90602121448461 & 0.091557653299791 \tabularnewline
0.12 & 5.93264401640387 & 0.09945972717522 \tabularnewline
0.13 & 5.96030621729831 & 0.107631783032855 \tabularnewline
0.14 & 5.98910266828548 & 0.115639390156115 \tabularnewline
0.15 & 6.01899204274827 & 0.123098890782986 \tabularnewline
0.16 & 6.04984170591554 & 0.129699453985884 \tabularnewline
0.17 & 6.08145587248936 & 0.135241745300662 \tabularnewline
0.18 & 6.11359761858757 & 0.139611662147412 \tabularnewline
0.19 & 6.14600620811629 & 0.142739389643404 \tabularnewline
0.2 & 6.17840850535945 & 0.144557715094801 \tabularnewline
0.21 & 6.21052468760895 & 0.144994331154172 \tabularnewline
0.22 & 6.24207081800443 & 0.143952894981245 \tabularnewline
0.23 & 6.27276206161985 & 0.141364600386172 \tabularnewline
0.24 & 6.30231989634997 & 0.137210567702391 \tabularnewline
0.25 & 6.33048500352097 & 0.131560759224820 \tabularnewline
0.26 & 6.35703536610554 & 0.124602915395821 \tabularnewline
0.27 & 6.38180714028506 & 0.116662988669267 \tabularnewline
0.28 & 6.40471457689653 & 0.108185776962251 \tabularnewline
0.29 & 6.42576490065564 & 0.0997088633060763 \tabularnewline
0.3 & 6.44506463807783 & 0.0918336329409101 \tabularnewline
0.31 & 6.46281525685722 & 0.0851397683547146 \tabularnewline
0.32 & 6.4792978225879 & 0.0801323127309549 \tabularnewline
0.33 & 6.49484828834786 & 0.0771519110762456 \tabularnewline
0.34 & 6.50982660738543 & 0.0762964730168231 \tabularnewline
0.35 & 6.52458379316286 & 0.0774039596657188 \tabularnewline
0.36 & 6.53943120098605 & 0.0800916062374628 \tabularnewline
0.37 & 6.55461571185953 & 0.0838483049458721 \tabularnewline
0.38 & 6.57030335780923 & 0.0881096741701866 \tabularnewline
0.39 & 6.58657252334169 & 0.0923441023767117 \tabularnewline
0.4 & 6.60341648223052 & 0.0961036798942927 \tabularnewline
0.41 & 6.62075391168849 & 0.0990279993538016 \tabularnewline
0.42 & 6.63844529243473 & 0.100874620698741 \tabularnewline
0.43 & 6.65631277050186 & 0.101505667366693 \tabularnewline
0.44 & 6.67416106192566 & 0.100904336452481 \tabularnewline
0.45 & 6.69179722595715 & 0.0991635341568366 \tabularnewline
0.46 & 6.70904752412522 & 0.0964416637388992 \tabularnewline
0.47 & 6.7257700616687 & 0.0929699189590291 \tabularnewline
0.48 & 6.74186244884221 & 0.0889997108215335 \tabularnewline
0.49 & 6.7572643117367 & 0.0848046181290583 \tabularnewline
0.5 & 6.77195510221922 & 0.0806206015094658 \tabularnewline
0.51 & 6.7859482469947 & 0.0766444529133704 \tabularnewline
0.52 & 6.79928314259786 & 0.0730007930873471 \tabularnewline
0.53 & 6.81201673638779 & 0.0697544341435572 \tabularnewline
0.54 & 6.82421634567573 & 0.0669190122950547 \tabularnewline
0.55 & 6.83595493391428 & 0.0644657776500998 \tabularnewline
0.56 & 6.84730935079275 & 0.0623772795797129 \tabularnewline
0.57 & 6.85836120729926 & 0.0606615936644274 \tabularnewline
0.58 & 6.86919930703123 & 0.0593663665698669 \tabularnewline
0.59 & 6.87992209683651 & 0.0585899243019244 \tabularnewline
0.6 & 6.89063857023882 & 0.0584183748772631 \tabularnewline
0.61 & 6.90146647682172 & 0.0589449962898944 \tabularnewline
0.62 & 6.91252745169719 & 0.0602003849949844 \tabularnewline
0.63 & 6.9239395730397 & 0.0621229310531135 \tabularnewline
0.64 & 6.93580863545989 & 0.0645947058709126 \tabularnewline
0.65 & 6.94821988091587 & 0.0674291166628573 \tabularnewline
0.66 & 6.96123194106425 & 0.0704249373459403 \tabularnewline
0.67 & 6.97487432335948 & 0.0733788308770984 \tabularnewline
0.68 & 6.98914903739481 & 0.0761281213368561 \tabularnewline
0.69 & 7.00403609537788 & 0.0785607592986909 \tabularnewline
0.7 & 7.01950183012854 & 0.0806335103059665 \tabularnewline
0.71 & 7.03550841750335 & 0.0823512247954343 \tabularnewline
0.72 & 7.05202276520099 & 0.083776707559308 \tabularnewline
0.73 & 7.06902306366182 & 0.0850005444723207 \tabularnewline
0.74 & 7.086501750624 & 0.086121990142954 \tabularnewline
0.75 & 7.1044643270178 & 0.0872273427193395 \tabularnewline
0.76 & 7.12292423909793 & 0.0883394470207808 \tabularnewline
0.77 & 7.14189473907996 & 0.0894555848924406 \tabularnewline
0.78 & 7.16137908887631 & 0.0904860148736844 \tabularnewline
0.79 & 7.18136058556935 & 0.0913102937685806 \tabularnewline
0.8 & 7.20179371922973 & 0.0917751286012391 \tabularnewline
0.81 & 7.22259756774953 & 0.0917143233581945 \tabularnewline
0.82 & 7.24365264724265 & 0.0909726685059764 \tabularnewline
0.83 & 7.26480309897274 & 0.0894078522178981 \tabularnewline
0.84 & 7.2858670327406 & 0.0869210270004616 \tabularnewline
0.85 & 7.30665800431286 & 0.0834826228296732 \tabularnewline
0.86 & 7.32701833825506 & 0.0791935462125715 \tabularnewline
0.87 & 7.34685917963442 & 0.0743377425084838 \tabularnewline
0.88 & 7.36619406535769 & 0.0694056264293173 \tabularnewline
0.89 & 7.38514785838865 & 0.0650184173641308 \tabularnewline
0.9 & 7.4039296466442 & 0.0616689170556089 \tabularnewline
0.91 & 7.42278205159295 & 0.0593647545387061 \tabularnewline
0.92 & 7.44195078202109 & 0.0575291923226263 \tabularnewline
0.93 & 7.46172324753178 & 0.0555064402239184 \tabularnewline
0.94 & 7.48251665792961 & 0.0534883227205867 \tabularnewline
0.95 & 7.50484835129437 & 0.0528786904360777 \tabularnewline
0.96 & 7.52891563716517 & 0.0543297457572078 \tabularnewline
0.97 & 7.55371598839975 & 0.0540232199961226 \tabularnewline
0.98 & 7.57631923913046 & 0.0443802041205868 \tabularnewline
0.99 & 7.59258713826768 & 0.0225556457767786 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17374&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]5.51671881723774[/C][C]0.0507216293227247[/C][/ROW]
[ROW][C]0.02[/C][C]5.55420797890902[/C][C]0.102989743729544[/C][/ROW]
[ROW][C]0.03[/C][C]5.60686687875391[/C][C]0.127230372817367[/C][/ROW]
[ROW][C]0.04[/C][C]5.66393317006457[/C][C]0.123284854409472[/C][/ROW]
[ROW][C]0.05[/C][C]5.71653564155074[/C][C]0.105741031927229[/C][/ROW]
[ROW][C]0.06[/C][C]5.76075453130366[/C][C]0.0883701571339926[/C][/ROW]
[ROW][C]0.07[/C][C]5.79686422145389[/C][C]0.0781757952216234[/C][/ROW]
[ROW][C]0.08[/C][C]5.82717379020376[/C][C]0.075780449056147[/C][/ROW]
[ROW][C]0.09[/C][C]5.8542606807647[/C][C]0.0786727906758043[/C][/ROW]
[ROW][C]0.1[/C][C]5.88012215402371[/C][C]0.0843927583174835[/C][/ROW]
[ROW][C]0.11[/C][C]5.90602121448461[/C][C]0.091557653299791[/C][/ROW]
[ROW][C]0.12[/C][C]5.93264401640387[/C][C]0.09945972717522[/C][/ROW]
[ROW][C]0.13[/C][C]5.96030621729831[/C][C]0.107631783032855[/C][/ROW]
[ROW][C]0.14[/C][C]5.98910266828548[/C][C]0.115639390156115[/C][/ROW]
[ROW][C]0.15[/C][C]6.01899204274827[/C][C]0.123098890782986[/C][/ROW]
[ROW][C]0.16[/C][C]6.04984170591554[/C][C]0.129699453985884[/C][/ROW]
[ROW][C]0.17[/C][C]6.08145587248936[/C][C]0.135241745300662[/C][/ROW]
[ROW][C]0.18[/C][C]6.11359761858757[/C][C]0.139611662147412[/C][/ROW]
[ROW][C]0.19[/C][C]6.14600620811629[/C][C]0.142739389643404[/C][/ROW]
[ROW][C]0.2[/C][C]6.17840850535945[/C][C]0.144557715094801[/C][/ROW]
[ROW][C]0.21[/C][C]6.21052468760895[/C][C]0.144994331154172[/C][/ROW]
[ROW][C]0.22[/C][C]6.24207081800443[/C][C]0.143952894981245[/C][/ROW]
[ROW][C]0.23[/C][C]6.27276206161985[/C][C]0.141364600386172[/C][/ROW]
[ROW][C]0.24[/C][C]6.30231989634997[/C][C]0.137210567702391[/C][/ROW]
[ROW][C]0.25[/C][C]6.33048500352097[/C][C]0.131560759224820[/C][/ROW]
[ROW][C]0.26[/C][C]6.35703536610554[/C][C]0.124602915395821[/C][/ROW]
[ROW][C]0.27[/C][C]6.38180714028506[/C][C]0.116662988669267[/C][/ROW]
[ROW][C]0.28[/C][C]6.40471457689653[/C][C]0.108185776962251[/C][/ROW]
[ROW][C]0.29[/C][C]6.42576490065564[/C][C]0.0997088633060763[/C][/ROW]
[ROW][C]0.3[/C][C]6.44506463807783[/C][C]0.0918336329409101[/C][/ROW]
[ROW][C]0.31[/C][C]6.46281525685722[/C][C]0.0851397683547146[/C][/ROW]
[ROW][C]0.32[/C][C]6.4792978225879[/C][C]0.0801323127309549[/C][/ROW]
[ROW][C]0.33[/C][C]6.49484828834786[/C][C]0.0771519110762456[/C][/ROW]
[ROW][C]0.34[/C][C]6.50982660738543[/C][C]0.0762964730168231[/C][/ROW]
[ROW][C]0.35[/C][C]6.52458379316286[/C][C]0.0774039596657188[/C][/ROW]
[ROW][C]0.36[/C][C]6.53943120098605[/C][C]0.0800916062374628[/C][/ROW]
[ROW][C]0.37[/C][C]6.55461571185953[/C][C]0.0838483049458721[/C][/ROW]
[ROW][C]0.38[/C][C]6.57030335780923[/C][C]0.0881096741701866[/C][/ROW]
[ROW][C]0.39[/C][C]6.58657252334169[/C][C]0.0923441023767117[/C][/ROW]
[ROW][C]0.4[/C][C]6.60341648223052[/C][C]0.0961036798942927[/C][/ROW]
[ROW][C]0.41[/C][C]6.62075391168849[/C][C]0.0990279993538016[/C][/ROW]
[ROW][C]0.42[/C][C]6.63844529243473[/C][C]0.100874620698741[/C][/ROW]
[ROW][C]0.43[/C][C]6.65631277050186[/C][C]0.101505667366693[/C][/ROW]
[ROW][C]0.44[/C][C]6.67416106192566[/C][C]0.100904336452481[/C][/ROW]
[ROW][C]0.45[/C][C]6.69179722595715[/C][C]0.0991635341568366[/C][/ROW]
[ROW][C]0.46[/C][C]6.70904752412522[/C][C]0.0964416637388992[/C][/ROW]
[ROW][C]0.47[/C][C]6.7257700616687[/C][C]0.0929699189590291[/C][/ROW]
[ROW][C]0.48[/C][C]6.74186244884221[/C][C]0.0889997108215335[/C][/ROW]
[ROW][C]0.49[/C][C]6.7572643117367[/C][C]0.0848046181290583[/C][/ROW]
[ROW][C]0.5[/C][C]6.77195510221922[/C][C]0.0806206015094658[/C][/ROW]
[ROW][C]0.51[/C][C]6.7859482469947[/C][C]0.0766444529133704[/C][/ROW]
[ROW][C]0.52[/C][C]6.79928314259786[/C][C]0.0730007930873471[/C][/ROW]
[ROW][C]0.53[/C][C]6.81201673638779[/C][C]0.0697544341435572[/C][/ROW]
[ROW][C]0.54[/C][C]6.82421634567573[/C][C]0.0669190122950547[/C][/ROW]
[ROW][C]0.55[/C][C]6.83595493391428[/C][C]0.0644657776500998[/C][/ROW]
[ROW][C]0.56[/C][C]6.84730935079275[/C][C]0.0623772795797129[/C][/ROW]
[ROW][C]0.57[/C][C]6.85836120729926[/C][C]0.0606615936644274[/C][/ROW]
[ROW][C]0.58[/C][C]6.86919930703123[/C][C]0.0593663665698669[/C][/ROW]
[ROW][C]0.59[/C][C]6.87992209683651[/C][C]0.0585899243019244[/C][/ROW]
[ROW][C]0.6[/C][C]6.89063857023882[/C][C]0.0584183748772631[/C][/ROW]
[ROW][C]0.61[/C][C]6.90146647682172[/C][C]0.0589449962898944[/C][/ROW]
[ROW][C]0.62[/C][C]6.91252745169719[/C][C]0.0602003849949844[/C][/ROW]
[ROW][C]0.63[/C][C]6.9239395730397[/C][C]0.0621229310531135[/C][/ROW]
[ROW][C]0.64[/C][C]6.93580863545989[/C][C]0.0645947058709126[/C][/ROW]
[ROW][C]0.65[/C][C]6.94821988091587[/C][C]0.0674291166628573[/C][/ROW]
[ROW][C]0.66[/C][C]6.96123194106425[/C][C]0.0704249373459403[/C][/ROW]
[ROW][C]0.67[/C][C]6.97487432335948[/C][C]0.0733788308770984[/C][/ROW]
[ROW][C]0.68[/C][C]6.98914903739481[/C][C]0.0761281213368561[/C][/ROW]
[ROW][C]0.69[/C][C]7.00403609537788[/C][C]0.0785607592986909[/C][/ROW]
[ROW][C]0.7[/C][C]7.01950183012854[/C][C]0.0806335103059665[/C][/ROW]
[ROW][C]0.71[/C][C]7.03550841750335[/C][C]0.0823512247954343[/C][/ROW]
[ROW][C]0.72[/C][C]7.05202276520099[/C][C]0.083776707559308[/C][/ROW]
[ROW][C]0.73[/C][C]7.06902306366182[/C][C]0.0850005444723207[/C][/ROW]
[ROW][C]0.74[/C][C]7.086501750624[/C][C]0.086121990142954[/C][/ROW]
[ROW][C]0.75[/C][C]7.1044643270178[/C][C]0.0872273427193395[/C][/ROW]
[ROW][C]0.76[/C][C]7.12292423909793[/C][C]0.0883394470207808[/C][/ROW]
[ROW][C]0.77[/C][C]7.14189473907996[/C][C]0.0894555848924406[/C][/ROW]
[ROW][C]0.78[/C][C]7.16137908887631[/C][C]0.0904860148736844[/C][/ROW]
[ROW][C]0.79[/C][C]7.18136058556935[/C][C]0.0913102937685806[/C][/ROW]
[ROW][C]0.8[/C][C]7.20179371922973[/C][C]0.0917751286012391[/C][/ROW]
[ROW][C]0.81[/C][C]7.22259756774953[/C][C]0.0917143233581945[/C][/ROW]
[ROW][C]0.82[/C][C]7.24365264724265[/C][C]0.0909726685059764[/C][/ROW]
[ROW][C]0.83[/C][C]7.26480309897274[/C][C]0.0894078522178981[/C][/ROW]
[ROW][C]0.84[/C][C]7.2858670327406[/C][C]0.0869210270004616[/C][/ROW]
[ROW][C]0.85[/C][C]7.30665800431286[/C][C]0.0834826228296732[/C][/ROW]
[ROW][C]0.86[/C][C]7.32701833825506[/C][C]0.0791935462125715[/C][/ROW]
[ROW][C]0.87[/C][C]7.34685917963442[/C][C]0.0743377425084838[/C][/ROW]
[ROW][C]0.88[/C][C]7.36619406535769[/C][C]0.0694056264293173[/C][/ROW]
[ROW][C]0.89[/C][C]7.38514785838865[/C][C]0.0650184173641308[/C][/ROW]
[ROW][C]0.9[/C][C]7.4039296466442[/C][C]0.0616689170556089[/C][/ROW]
[ROW][C]0.91[/C][C]7.42278205159295[/C][C]0.0593647545387061[/C][/ROW]
[ROW][C]0.92[/C][C]7.44195078202109[/C][C]0.0575291923226263[/C][/ROW]
[ROW][C]0.93[/C][C]7.46172324753178[/C][C]0.0555064402239184[/C][/ROW]
[ROW][C]0.94[/C][C]7.48251665792961[/C][C]0.0534883227205867[/C][/ROW]
[ROW][C]0.95[/C][C]7.50484835129437[/C][C]0.0528786904360777[/C][/ROW]
[ROW][C]0.96[/C][C]7.52891563716517[/C][C]0.0543297457572078[/C][/ROW]
[ROW][C]0.97[/C][C]7.55371598839975[/C][C]0.0540232199961226[/C][/ROW]
[ROW][C]0.98[/C][C]7.57631923913046[/C][C]0.0443802041205868[/C][/ROW]
[ROW][C]0.99[/C][C]7.59258713826768[/C][C]0.0225556457767786[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17374&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17374&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
0.015.516718817237740.0507216293227247
0.025.554207978909020.102989743729544
0.035.606866878753910.127230372817367
0.045.663933170064570.123284854409472
0.055.716535641550740.105741031927229
0.065.760754531303660.0883701571339926
0.075.796864221453890.0781757952216234
0.085.827173790203760.075780449056147
0.095.85426068076470.0786727906758043
0.15.880122154023710.0843927583174835
0.115.906021214484610.091557653299791
0.125.932644016403870.09945972717522
0.135.960306217298310.107631783032855
0.145.989102668285480.115639390156115
0.156.018992042748270.123098890782986
0.166.049841705915540.129699453985884
0.176.081455872489360.135241745300662
0.186.113597618587570.139611662147412
0.196.146006208116290.142739389643404
0.26.178408505359450.144557715094801
0.216.210524687608950.144994331154172
0.226.242070818004430.143952894981245
0.236.272762061619850.141364600386172
0.246.302319896349970.137210567702391
0.256.330485003520970.131560759224820
0.266.357035366105540.124602915395821
0.276.381807140285060.116662988669267
0.286.404714576896530.108185776962251
0.296.425764900655640.0997088633060763
0.36.445064638077830.0918336329409101
0.316.462815256857220.0851397683547146
0.326.47929782258790.0801323127309549
0.336.494848288347860.0771519110762456
0.346.509826607385430.0762964730168231
0.356.524583793162860.0774039596657188
0.366.539431200986050.0800916062374628
0.376.554615711859530.0838483049458721
0.386.570303357809230.0881096741701866
0.396.586572523341690.0923441023767117
0.46.603416482230520.0961036798942927
0.416.620753911688490.0990279993538016
0.426.638445292434730.100874620698741
0.436.656312770501860.101505667366693
0.446.674161061925660.100904336452481
0.456.691797225957150.0991635341568366
0.466.709047524125220.0964416637388992
0.476.72577006166870.0929699189590291
0.486.741862448842210.0889997108215335
0.496.75726431173670.0848046181290583
0.56.771955102219220.0806206015094658
0.516.78594824699470.0766444529133704
0.526.799283142597860.0730007930873471
0.536.812016736387790.0697544341435572
0.546.824216345675730.0669190122950547
0.556.835954933914280.0644657776500998
0.566.847309350792750.0623772795797129
0.576.858361207299260.0606615936644274
0.586.869199307031230.0593663665698669
0.596.879922096836510.0585899243019244
0.66.890638570238820.0584183748772631
0.616.901466476821720.0589449962898944
0.626.912527451697190.0602003849949844
0.636.92393957303970.0621229310531135
0.646.935808635459890.0645947058709126
0.656.948219880915870.0674291166628573
0.666.961231941064250.0704249373459403
0.676.974874323359480.0733788308770984
0.686.989149037394810.0761281213368561
0.697.004036095377880.0785607592986909
0.77.019501830128540.0806335103059665
0.717.035508417503350.0823512247954343
0.727.052022765200990.083776707559308
0.737.069023063661820.0850005444723207
0.747.0865017506240.086121990142954
0.757.10446432701780.0872273427193395
0.767.122924239097930.0883394470207808
0.777.141894739079960.0894555848924406
0.787.161379088876310.0904860148736844
0.797.181360585569350.0913102937685806
0.87.201793719229730.0917751286012391
0.817.222597567749530.0917143233581945
0.827.243652647242650.0909726685059764
0.837.264803098972740.0894078522178981
0.847.28586703274060.0869210270004616
0.857.306658004312860.0834826228296732
0.867.327018338255060.0791935462125715
0.877.346859179634420.0743377425084838
0.887.366194065357690.0694056264293173
0.897.385147858388650.0650184173641308
0.97.40392964664420.0616689170556089
0.917.422782051592950.0593647545387061
0.927.441950782021090.0575291923226263
0.937.461723247531780.0555064402239184
0.947.482516657929610.0534883227205867
0.957.504848351294370.0528786904360777
0.967.528915637165170.0543297457572078
0.977.553715988399750.0540232199961226
0.987.576319239130460.0443802041205868
0.997.592587138267680.0225556457767786


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')