FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 08 Mar 2009 06:24:21 -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/2009/Mar/08/t12365152097t9h5cn4otdkbcf.htm/, Retrieved Sat, 27 Apr 2024 20:50:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38662, Retrieved Sat, 27 Apr 2024 20:50:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

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] [Harrel-davis perc...] [2009-03-08 12:24:21] [e49ca66754ae41ce7288e597b92c4c3a] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
88,6
95
96,3
83,3
96,9
103,4
99,3
103,8
113,4
111,5
114,2
90,6
90,8
96,4
90
92,1
97,2
95,1
88,5
91
90,5
75
66,3
66
68,4
70,6
83,9
90,1
90,6
87,1
90,8
94,1
99,8
96,8
87
96,3
107,1
115,2
106,1
89,5
91,3
97,6
100,7
104,6
94,7
101,8
102,5
105,3
110,3
109,8
117,3
118,8
131,3
125,9
133,1
147
145,8
164,4
149,8
137,7
151,7
156,8
180
180,4
170,4
191,6
199,5
218,2
217,5
205
194
199,3
219,3
211,1
215,2
240,2
242,2
240,7
255,4
253
218,2
203,7
205,6
215,6
188,5
202,9
214
230,3
230
241
259,6
247,8
270,3
289,7
322,7
315
320,2
329,5
360,6
382,2
435,4
464
468,8
403
351,6
252
188
146,5
152,9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38662&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38662&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38662&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0166.73593663227031.63690456755944
0.0268.66105280757963.75689756233907
0.0371.65523045556915.67236882545786
0.0475.24873703246576.64608447475847
0.0578.8485100350766.43087505631657
0.0681.97983079223685.41151464757692
0.0784.43022630559724.17548025807526
0.0886.22307451504533.11078136221638
0.0987.49902459371522.33254948185125
0.188.41290579810681.80083210865857
0.1189.08686328176731.44179677363498
0.1289.60560826954411.20551637707281
0.1390.02796759275461.0740072193537
0.1490.39859547195831.04883985659313
0.1590.75433913259271.12887340004286
0.1691.12547246297041.29577397432902
0.1791.53403291178191.5149298203133
0.1891.9917146199641.74485750313897
0.1992.49917145972871.94728062411637
0.293.04759459837932.09416214219999
0.2193.62236484968472.17503151642781
0.2294.20776263866252.19765086063793
0.2394.79138703124392.18483940859225
0.2495.36713372777182.16787984346281
0.2595.93614803225472.17764390393543
0.2696.5058340539582.23660323420331
0.2797.08752398990522.35337943739726
0.2897.69366140853392.52313975221488
0.2998.3353216270892.73238484649089
0.399.02065368696762.96373079681271
0.3199.7544883166813.20346717338811
0.32100.5390200032133.44347264540981
0.33101.3752236961303.68455047801989
0.34102.2645582275303.9351547282183
0.35103.2105450317194.20916504698528
0.36104.2199518914704.52468473129024
0.37105.3034845412214.90059941748393
0.38106.4760169104535.35579944415634
0.39107.7564246186055.90731774460549
0.4109.1670281593906.5698493113308
0.41110.7325567549557.35315765429498
0.42112.4784950314078.25698531184595
0.43114.4287449299249.26842881454218
0.44116.60274450660810.3583341168768
0.45119.01247867485711.4822834986589
0.46121.66007546758812.5854528267688
0.47124.53676527593513.6119404165555
0.48127.62379093164014.5155377101105
0.49130.89539005868915.2704773594766
0.5134.32334157111915.8780590059016
0.51137.88198075396216.3658645066815
0.52141.55226989188516.7804477365379
0.53145.32362559613317.1720734117351
0.54149.19277113383917.5770392540952
0.55153.15975632217518.0016196845161
0.56157.22219352667518.4171552968311
0.57161.36938494100318.7647348267582
0.58165.57813356115818.9710643991828
0.59169.81158143210318.9668194031509
0.6174.02154781079318.7056467306699
0.61178.15383880474518.1744925810910
0.62182.15519705944317.3973425723245
0.63185.98019760857216.4293030832460
0.64189.59655086779315.3448965266038
0.65192.98784953737514.2243423308925
0.66196.15358033662613.1394095284702
0.67199.10696961892612.1467263356087
0.68201.87173764500711.2823949531552
0.69204.47896765538210.5669312387448
0.7206.96500934120610.0106800407690
0.71209.3706922981899.6246859100855
0.72211.7413107540769.42447080861973
0.73214.1261703939579.42751237918345
0.74216.5763311379549.6404419287009
0.75219.13979857122710.0418320828124
0.76221.85476704297010.5710676713586
0.77224.74314192576711.1366280801467
0.78227.80771280597511.6408195966546
0.79231.03630950769512.0144371030234
0.8234.41478877812912.2547764373601
0.81237.94809240888212.4494492679181
0.82241.68550845236912.7848851838322
0.83245.74312777845113.5260738766238
0.84250.31366005209914.9495206063718
0.85255.65237994038817.2267852228637
0.86262.03102306973920.2927294062217
0.87269.66302180717723.7767582411022
0.88278.62414203572427.0522734109152
0.89288.81300629114229.4452496513631
0.9299.99639424849430.5615366264744
0.91311.94834702382830.5707207613456
0.92324.63111683974730.2214356210923
0.93338.32563438299130.4424033843722
0.94353.64096233561031.7679944226817
0.95371.38482832600034.0771722055118
0.96392.24238461908736.5812428593465
0.97416.03374339095837.331450430755
0.98440.38312680634932.4385103894358
0.99459.87338428334718.5467153006671

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 66.7359366322703 & 1.63690456755944 \tabularnewline
0.02 & 68.6610528075796 & 3.75689756233907 \tabularnewline
0.03 & 71.6552304555691 & 5.67236882545786 \tabularnewline
0.04 & 75.2487370324657 & 6.64608447475847 \tabularnewline
0.05 & 78.848510035076 & 6.43087505631657 \tabularnewline
0.06 & 81.9798307922368 & 5.41151464757692 \tabularnewline
0.07 & 84.4302263055972 & 4.17548025807526 \tabularnewline
0.08 & 86.2230745150453 & 3.11078136221638 \tabularnewline
0.09 & 87.4990245937152 & 2.33254948185125 \tabularnewline
0.1 & 88.4129057981068 & 1.80083210865857 \tabularnewline
0.11 & 89.0868632817673 & 1.44179677363498 \tabularnewline
0.12 & 89.6056082695441 & 1.20551637707281 \tabularnewline
0.13 & 90.0279675927546 & 1.0740072193537 \tabularnewline
0.14 & 90.3985954719583 & 1.04883985659313 \tabularnewline
0.15 & 90.7543391325927 & 1.12887340004286 \tabularnewline
0.16 & 91.1254724629704 & 1.29577397432902 \tabularnewline
0.17 & 91.5340329117819 & 1.5149298203133 \tabularnewline
0.18 & 91.991714619964 & 1.74485750313897 \tabularnewline
0.19 & 92.4991714597287 & 1.94728062411637 \tabularnewline
0.2 & 93.0475945983793 & 2.09416214219999 \tabularnewline
0.21 & 93.6223648496847 & 2.17503151642781 \tabularnewline
0.22 & 94.2077626386625 & 2.19765086063793 \tabularnewline
0.23 & 94.7913870312439 & 2.18483940859225 \tabularnewline
0.24 & 95.3671337277718 & 2.16787984346281 \tabularnewline
0.25 & 95.9361480322547 & 2.17764390393543 \tabularnewline
0.26 & 96.505834053958 & 2.23660323420331 \tabularnewline
0.27 & 97.0875239899052 & 2.35337943739726 \tabularnewline
0.28 & 97.6936614085339 & 2.52313975221488 \tabularnewline
0.29 & 98.335321627089 & 2.73238484649089 \tabularnewline
0.3 & 99.0206536869676 & 2.96373079681271 \tabularnewline
0.31 & 99.754488316681 & 3.20346717338811 \tabularnewline
0.32 & 100.539020003213 & 3.44347264540981 \tabularnewline
0.33 & 101.375223696130 & 3.68455047801989 \tabularnewline
0.34 & 102.264558227530 & 3.9351547282183 \tabularnewline
0.35 & 103.210545031719 & 4.20916504698528 \tabularnewline
0.36 & 104.219951891470 & 4.52468473129024 \tabularnewline
0.37 & 105.303484541221 & 4.90059941748393 \tabularnewline
0.38 & 106.476016910453 & 5.35579944415634 \tabularnewline
0.39 & 107.756424618605 & 5.90731774460549 \tabularnewline
0.4 & 109.167028159390 & 6.5698493113308 \tabularnewline
0.41 & 110.732556754955 & 7.35315765429498 \tabularnewline
0.42 & 112.478495031407 & 8.25698531184595 \tabularnewline
0.43 & 114.428744929924 & 9.26842881454218 \tabularnewline
0.44 & 116.602744506608 & 10.3583341168768 \tabularnewline
0.45 & 119.012478674857 & 11.4822834986589 \tabularnewline
0.46 & 121.660075467588 & 12.5854528267688 \tabularnewline
0.47 & 124.536765275935 & 13.6119404165555 \tabularnewline
0.48 & 127.623790931640 & 14.5155377101105 \tabularnewline
0.49 & 130.895390058689 & 15.2704773594766 \tabularnewline
0.5 & 134.323341571119 & 15.8780590059016 \tabularnewline
0.51 & 137.881980753962 & 16.3658645066815 \tabularnewline
0.52 & 141.552269891885 & 16.7804477365379 \tabularnewline
0.53 & 145.323625596133 & 17.1720734117351 \tabularnewline
0.54 & 149.192771133839 & 17.5770392540952 \tabularnewline
0.55 & 153.159756322175 & 18.0016196845161 \tabularnewline
0.56 & 157.222193526675 & 18.4171552968311 \tabularnewline
0.57 & 161.369384941003 & 18.7647348267582 \tabularnewline
0.58 & 165.578133561158 & 18.9710643991828 \tabularnewline
0.59 & 169.811581432103 & 18.9668194031509 \tabularnewline
0.6 & 174.021547810793 & 18.7056467306699 \tabularnewline
0.61 & 178.153838804745 & 18.1744925810910 \tabularnewline
0.62 & 182.155197059443 & 17.3973425723245 \tabularnewline
0.63 & 185.980197608572 & 16.4293030832460 \tabularnewline
0.64 & 189.596550867793 & 15.3448965266038 \tabularnewline
0.65 & 192.987849537375 & 14.2243423308925 \tabularnewline
0.66 & 196.153580336626 & 13.1394095284702 \tabularnewline
0.67 & 199.106969618926 & 12.1467263356087 \tabularnewline
0.68 & 201.871737645007 & 11.2823949531552 \tabularnewline
0.69 & 204.478967655382 & 10.5669312387448 \tabularnewline
0.7 & 206.965009341206 & 10.0106800407690 \tabularnewline
0.71 & 209.370692298189 & 9.6246859100855 \tabularnewline
0.72 & 211.741310754076 & 9.42447080861973 \tabularnewline
0.73 & 214.126170393957 & 9.42751237918345 \tabularnewline
0.74 & 216.576331137954 & 9.6404419287009 \tabularnewline
0.75 & 219.139798571227 & 10.0418320828124 \tabularnewline
0.76 & 221.854767042970 & 10.5710676713586 \tabularnewline
0.77 & 224.743141925767 & 11.1366280801467 \tabularnewline
0.78 & 227.807712805975 & 11.6408195966546 \tabularnewline
0.79 & 231.036309507695 & 12.0144371030234 \tabularnewline
0.8 & 234.414788778129 & 12.2547764373601 \tabularnewline
0.81 & 237.948092408882 & 12.4494492679181 \tabularnewline
0.82 & 241.685508452369 & 12.7848851838322 \tabularnewline
0.83 & 245.743127778451 & 13.5260738766238 \tabularnewline
0.84 & 250.313660052099 & 14.9495206063718 \tabularnewline
0.85 & 255.652379940388 & 17.2267852228637 \tabularnewline
0.86 & 262.031023069739 & 20.2927294062217 \tabularnewline
0.87 & 269.663021807177 & 23.7767582411022 \tabularnewline
0.88 & 278.624142035724 & 27.0522734109152 \tabularnewline
0.89 & 288.813006291142 & 29.4452496513631 \tabularnewline
0.9 & 299.996394248494 & 30.5615366264744 \tabularnewline
0.91 & 311.948347023828 & 30.5707207613456 \tabularnewline
0.92 & 324.631116839747 & 30.2214356210923 \tabularnewline
0.93 & 338.325634382991 & 30.4424033843722 \tabularnewline
0.94 & 353.640962335610 & 31.7679944226817 \tabularnewline
0.95 & 371.384828326000 & 34.0771722055118 \tabularnewline
0.96 & 392.242384619087 & 36.5812428593465 \tabularnewline
0.97 & 416.033743390958 & 37.331450430755 \tabularnewline
0.98 & 440.383126806349 & 32.4385103894358 \tabularnewline
0.99 & 459.873384283347 & 18.5467153006671 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38662&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]66.7359366322703[/C][C]1.63690456755944[/C][/ROW]
[ROW][C]0.02[/C][C]68.6610528075796[/C][C]3.75689756233907[/C][/ROW]
[ROW][C]0.03[/C][C]71.6552304555691[/C][C]5.67236882545786[/C][/ROW]
[ROW][C]0.04[/C][C]75.2487370324657[/C][C]6.64608447475847[/C][/ROW]
[ROW][C]0.05[/C][C]78.848510035076[/C][C]6.43087505631657[/C][/ROW]
[ROW][C]0.06[/C][C]81.9798307922368[/C][C]5.41151464757692[/C][/ROW]
[ROW][C]0.07[/C][C]84.4302263055972[/C][C]4.17548025807526[/C][/ROW]
[ROW][C]0.08[/C][C]86.2230745150453[/C][C]3.11078136221638[/C][/ROW]
[ROW][C]0.09[/C][C]87.4990245937152[/C][C]2.33254948185125[/C][/ROW]
[ROW][C]0.1[/C][C]88.4129057981068[/C][C]1.80083210865857[/C][/ROW]
[ROW][C]0.11[/C][C]89.0868632817673[/C][C]1.44179677363498[/C][/ROW]
[ROW][C]0.12[/C][C]89.6056082695441[/C][C]1.20551637707281[/C][/ROW]
[ROW][C]0.13[/C][C]90.0279675927546[/C][C]1.0740072193537[/C][/ROW]
[ROW][C]0.14[/C][C]90.3985954719583[/C][C]1.04883985659313[/C][/ROW]
[ROW][C]0.15[/C][C]90.7543391325927[/C][C]1.12887340004286[/C][/ROW]
[ROW][C]0.16[/C][C]91.1254724629704[/C][C]1.29577397432902[/C][/ROW]
[ROW][C]0.17[/C][C]91.5340329117819[/C][C]1.5149298203133[/C][/ROW]
[ROW][C]0.18[/C][C]91.991714619964[/C][C]1.74485750313897[/C][/ROW]
[ROW][C]0.19[/C][C]92.4991714597287[/C][C]1.94728062411637[/C][/ROW]
[ROW][C]0.2[/C][C]93.0475945983793[/C][C]2.09416214219999[/C][/ROW]
[ROW][C]0.21[/C][C]93.6223648496847[/C][C]2.17503151642781[/C][/ROW]
[ROW][C]0.22[/C][C]94.2077626386625[/C][C]2.19765086063793[/C][/ROW]
[ROW][C]0.23[/C][C]94.7913870312439[/C][C]2.18483940859225[/C][/ROW]
[ROW][C]0.24[/C][C]95.3671337277718[/C][C]2.16787984346281[/C][/ROW]
[ROW][C]0.25[/C][C]95.9361480322547[/C][C]2.17764390393543[/C][/ROW]
[ROW][C]0.26[/C][C]96.505834053958[/C][C]2.23660323420331[/C][/ROW]
[ROW][C]0.27[/C][C]97.0875239899052[/C][C]2.35337943739726[/C][/ROW]
[ROW][C]0.28[/C][C]97.6936614085339[/C][C]2.52313975221488[/C][/ROW]
[ROW][C]0.29[/C][C]98.335321627089[/C][C]2.73238484649089[/C][/ROW]
[ROW][C]0.3[/C][C]99.0206536869676[/C][C]2.96373079681271[/C][/ROW]
[ROW][C]0.31[/C][C]99.754488316681[/C][C]3.20346717338811[/C][/ROW]
[ROW][C]0.32[/C][C]100.539020003213[/C][C]3.44347264540981[/C][/ROW]
[ROW][C]0.33[/C][C]101.375223696130[/C][C]3.68455047801989[/C][/ROW]
[ROW][C]0.34[/C][C]102.264558227530[/C][C]3.9351547282183[/C][/ROW]
[ROW][C]0.35[/C][C]103.210545031719[/C][C]4.20916504698528[/C][/ROW]
[ROW][C]0.36[/C][C]104.219951891470[/C][C]4.52468473129024[/C][/ROW]
[ROW][C]0.37[/C][C]105.303484541221[/C][C]4.90059941748393[/C][/ROW]
[ROW][C]0.38[/C][C]106.476016910453[/C][C]5.35579944415634[/C][/ROW]
[ROW][C]0.39[/C][C]107.756424618605[/C][C]5.90731774460549[/C][/ROW]
[ROW][C]0.4[/C][C]109.167028159390[/C][C]6.5698493113308[/C][/ROW]
[ROW][C]0.41[/C][C]110.732556754955[/C][C]7.35315765429498[/C][/ROW]
[ROW][C]0.42[/C][C]112.478495031407[/C][C]8.25698531184595[/C][/ROW]
[ROW][C]0.43[/C][C]114.428744929924[/C][C]9.26842881454218[/C][/ROW]
[ROW][C]0.44[/C][C]116.602744506608[/C][C]10.3583341168768[/C][/ROW]
[ROW][C]0.45[/C][C]119.012478674857[/C][C]11.4822834986589[/C][/ROW]
[ROW][C]0.46[/C][C]121.660075467588[/C][C]12.5854528267688[/C][/ROW]
[ROW][C]0.47[/C][C]124.536765275935[/C][C]13.6119404165555[/C][/ROW]
[ROW][C]0.48[/C][C]127.623790931640[/C][C]14.5155377101105[/C][/ROW]
[ROW][C]0.49[/C][C]130.895390058689[/C][C]15.2704773594766[/C][/ROW]
[ROW][C]0.5[/C][C]134.323341571119[/C][C]15.8780590059016[/C][/ROW]
[ROW][C]0.51[/C][C]137.881980753962[/C][C]16.3658645066815[/C][/ROW]
[ROW][C]0.52[/C][C]141.552269891885[/C][C]16.7804477365379[/C][/ROW]
[ROW][C]0.53[/C][C]145.323625596133[/C][C]17.1720734117351[/C][/ROW]
[ROW][C]0.54[/C][C]149.192771133839[/C][C]17.5770392540952[/C][/ROW]
[ROW][C]0.55[/C][C]153.159756322175[/C][C]18.0016196845161[/C][/ROW]
[ROW][C]0.56[/C][C]157.222193526675[/C][C]18.4171552968311[/C][/ROW]
[ROW][C]0.57[/C][C]161.369384941003[/C][C]18.7647348267582[/C][/ROW]
[ROW][C]0.58[/C][C]165.578133561158[/C][C]18.9710643991828[/C][/ROW]
[ROW][C]0.59[/C][C]169.811581432103[/C][C]18.9668194031509[/C][/ROW]
[ROW][C]0.6[/C][C]174.021547810793[/C][C]18.7056467306699[/C][/ROW]
[ROW][C]0.61[/C][C]178.153838804745[/C][C]18.1744925810910[/C][/ROW]
[ROW][C]0.62[/C][C]182.155197059443[/C][C]17.3973425723245[/C][/ROW]
[ROW][C]0.63[/C][C]185.980197608572[/C][C]16.4293030832460[/C][/ROW]
[ROW][C]0.64[/C][C]189.596550867793[/C][C]15.3448965266038[/C][/ROW]
[ROW][C]0.65[/C][C]192.987849537375[/C][C]14.2243423308925[/C][/ROW]
[ROW][C]0.66[/C][C]196.153580336626[/C][C]13.1394095284702[/C][/ROW]
[ROW][C]0.67[/C][C]199.106969618926[/C][C]12.1467263356087[/C][/ROW]
[ROW][C]0.68[/C][C]201.871737645007[/C][C]11.2823949531552[/C][/ROW]
[ROW][C]0.69[/C][C]204.478967655382[/C][C]10.5669312387448[/C][/ROW]
[ROW][C]0.7[/C][C]206.965009341206[/C][C]10.0106800407690[/C][/ROW]
[ROW][C]0.71[/C][C]209.370692298189[/C][C]9.6246859100855[/C][/ROW]
[ROW][C]0.72[/C][C]211.741310754076[/C][C]9.42447080861973[/C][/ROW]
[ROW][C]0.73[/C][C]214.126170393957[/C][C]9.42751237918345[/C][/ROW]
[ROW][C]0.74[/C][C]216.576331137954[/C][C]9.6404419287009[/C][/ROW]
[ROW][C]0.75[/C][C]219.139798571227[/C][C]10.0418320828124[/C][/ROW]
[ROW][C]0.76[/C][C]221.854767042970[/C][C]10.5710676713586[/C][/ROW]
[ROW][C]0.77[/C][C]224.743141925767[/C][C]11.1366280801467[/C][/ROW]
[ROW][C]0.78[/C][C]227.807712805975[/C][C]11.6408195966546[/C][/ROW]
[ROW][C]0.79[/C][C]231.036309507695[/C][C]12.0144371030234[/C][/ROW]
[ROW][C]0.8[/C][C]234.414788778129[/C][C]12.2547764373601[/C][/ROW]
[ROW][C]0.81[/C][C]237.948092408882[/C][C]12.4494492679181[/C][/ROW]
[ROW][C]0.82[/C][C]241.685508452369[/C][C]12.7848851838322[/C][/ROW]
[ROW][C]0.83[/C][C]245.743127778451[/C][C]13.5260738766238[/C][/ROW]
[ROW][C]0.84[/C][C]250.313660052099[/C][C]14.9495206063718[/C][/ROW]
[ROW][C]0.85[/C][C]255.652379940388[/C][C]17.2267852228637[/C][/ROW]
[ROW][C]0.86[/C][C]262.031023069739[/C][C]20.2927294062217[/C][/ROW]
[ROW][C]0.87[/C][C]269.663021807177[/C][C]23.7767582411022[/C][/ROW]
[ROW][C]0.88[/C][C]278.624142035724[/C][C]27.0522734109152[/C][/ROW]
[ROW][C]0.89[/C][C]288.813006291142[/C][C]29.4452496513631[/C][/ROW]
[ROW][C]0.9[/C][C]299.996394248494[/C][C]30.5615366264744[/C][/ROW]
[ROW][C]0.91[/C][C]311.948347023828[/C][C]30.5707207613456[/C][/ROW]
[ROW][C]0.92[/C][C]324.631116839747[/C][C]30.2214356210923[/C][/ROW]
[ROW][C]0.93[/C][C]338.325634382991[/C][C]30.4424033843722[/C][/ROW]
[ROW][C]0.94[/C][C]353.640962335610[/C][C]31.7679944226817[/C][/ROW]
[ROW][C]0.95[/C][C]371.384828326000[/C][C]34.0771722055118[/C][/ROW]
[ROW][C]0.96[/C][C]392.242384619087[/C][C]36.5812428593465[/C][/ROW]
[ROW][C]0.97[/C][C]416.033743390958[/C][C]37.331450430755[/C][/ROW]
[ROW][C]0.98[/C][C]440.383126806349[/C][C]32.4385103894358[/C][/ROW]
[ROW][C]0.99[/C][C]459.873384283347[/C][C]18.5467153006671[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38662&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38662&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
0.0166.73593663227031.63690456755944
0.0268.66105280757963.75689756233907
0.0371.65523045556915.67236882545786
0.0475.24873703246576.64608447475847
0.0578.8485100350766.43087505631657
0.0681.97983079223685.41151464757692
0.0784.43022630559724.17548025807526
0.0886.22307451504533.11078136221638
0.0987.49902459371522.33254948185125
0.188.41290579810681.80083210865857
0.1189.08686328176731.44179677363498
0.1289.60560826954411.20551637707281
0.1390.02796759275461.0740072193537
0.1490.39859547195831.04883985659313
0.1590.75433913259271.12887340004286
0.1691.12547246297041.29577397432902
0.1791.53403291178191.5149298203133
0.1891.9917146199641.74485750313897
0.1992.49917145972871.94728062411637
0.293.04759459837932.09416214219999
0.2193.62236484968472.17503151642781
0.2294.20776263866252.19765086063793
0.2394.79138703124392.18483940859225
0.2495.36713372777182.16787984346281
0.2595.93614803225472.17764390393543
0.2696.5058340539582.23660323420331
0.2797.08752398990522.35337943739726
0.2897.69366140853392.52313975221488
0.2998.3353216270892.73238484649089
0.399.02065368696762.96373079681271
0.3199.7544883166813.20346717338811
0.32100.5390200032133.44347264540981
0.33101.3752236961303.68455047801989
0.34102.2645582275303.9351547282183
0.35103.2105450317194.20916504698528
0.36104.2199518914704.52468473129024
0.37105.3034845412214.90059941748393
0.38106.4760169104535.35579944415634
0.39107.7564246186055.90731774460549
0.4109.1670281593906.5698493113308
0.41110.7325567549557.35315765429498
0.42112.4784950314078.25698531184595
0.43114.4287449299249.26842881454218
0.44116.60274450660810.3583341168768
0.45119.01247867485711.4822834986589
0.46121.66007546758812.5854528267688
0.47124.53676527593513.6119404165555
0.48127.62379093164014.5155377101105
0.49130.89539005868915.2704773594766
0.5134.32334157111915.8780590059016
0.51137.88198075396216.3658645066815
0.52141.55226989188516.7804477365379
0.53145.32362559613317.1720734117351
0.54149.19277113383917.5770392540952
0.55153.15975632217518.0016196845161
0.56157.22219352667518.4171552968311
0.57161.36938494100318.7647348267582
0.58165.57813356115818.9710643991828
0.59169.81158143210318.9668194031509
0.6174.02154781079318.7056467306699
0.61178.15383880474518.1744925810910
0.62182.15519705944317.3973425723245
0.63185.98019760857216.4293030832460
0.64189.59655086779315.3448965266038
0.65192.98784953737514.2243423308925
0.66196.15358033662613.1394095284702
0.67199.10696961892612.1467263356087
0.68201.87173764500711.2823949531552
0.69204.47896765538210.5669312387448
0.7206.96500934120610.0106800407690
0.71209.3706922981899.6246859100855
0.72211.7413107540769.42447080861973
0.73214.1261703939579.42751237918345
0.74216.5763311379549.6404419287009
0.75219.13979857122710.0418320828124
0.76221.85476704297010.5710676713586
0.77224.74314192576711.1366280801467
0.78227.80771280597511.6408195966546
0.79231.03630950769512.0144371030234
0.8234.41478877812912.2547764373601
0.81237.94809240888212.4494492679181
0.82241.68550845236912.7848851838322
0.83245.74312777845113.5260738766238
0.84250.31366005209914.9495206063718
0.85255.65237994038817.2267852228637
0.86262.03102306973920.2927294062217
0.87269.66302180717723.7767582411022
0.88278.62414203572427.0522734109152
0.89288.81300629114229.4452496513631
0.9299.99639424849430.5615366264744
0.91311.94834702382830.5707207613456
0.92324.63111683974730.2214356210923
0.93338.32563438299130.4424033843722
0.94353.64096233561031.7679944226817
0.95371.38482832600034.0771722055118
0.96392.24238461908736.5812428593465
0.97416.03374339095837.331450430755
0.98440.38312680634932.4385103894358
0.99459.87338428334718.5467153006671


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')