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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 18 Oct 2009 08:45:37 -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/Oct/18/t1255877325xi68jyvyprz4voy.htm/, Retrieved Mon, 29 Apr 2024 13:43:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47339, Retrieved Mon, 29 Apr 2024 13:43:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsworkshop 3 deel 2
Estimated Impact109

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD      [Percentiles] [Percentielen] [2009-10-18 13:47:08] [03557919bc1ce1475f4920f6a43c36b0]
- RM D          [Harrell-Davis Quantiles] [Kwantielen] [2009-10-18 14:45:37] [e7a989b306049c061a54f626f1127c12] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
128.7
115.1
108.8
109.6
105.5
106.5
108.3
107.5
107.2
113.2
108.8
109.8
111.3
116.4
111.2
112.1
113.2
108.5
113.2
116.4
123.7
125.6
128.7
137.5
134.8
140.6
132.2
138
157.6
168.4
172.9
174.1
179.1
178.5
167.8
171
183.5
176.4
183.4
210
213.1
213
241.6
255.8
285.4
306.5
316.9
310
327.4
308.2
279.3
268.4
211.2
193.2
188.2
204.3
194.4
198.9
198.2
213.7

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=47339&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=47339&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47339&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
0.01105.7501330723000.914474485560778
0.02106.1300125642480.838110320496959
0.03106.5427144683340.78814874405165
0.04106.9312773783150.765097863463465
0.05107.2792795426420.757887271917893
0.06107.5904816322870.757549342772114
0.07107.8739424203980.761281170471581
0.08108.138413506040.773695675226266
0.09108.3917051240050.804091763411999
0.1108.6412238167320.86020803974029
0.11108.8941106896430.944048597667952
0.12109.1568393886861.05114354512755
0.13109.4346448736831.17349325094876
0.14109.7311585934381.30303509085034
0.15110.0484456179521.43379539420145
0.16110.3874485469751.56363195847154
0.17110.7487137655251.69502744054832
0.18111.1332202260761.83488622973163
0.19111.5431329121181.99409394118147
0.2111.9823389186702.18549133580091
0.21112.4566748000862.42229419957107
0.22112.9738083740052.71505761806633
0.23113.5427911880843.06976947125945
0.24114.1733463176743.48679914636152
0.25114.8749967228403.96024710940795
0.26115.6561675003934.47893451230644
0.27116.5234059735735.02753659732137
0.28117.4808527768935.58906591588996
0.29118.5300639321666.14717466232733
0.3119.6702314181996.68819906953759
0.31120.8987850461937.20424380024732
0.32122.212291749867.69429118724762
0.33123.6075110645778.16501304075568
0.34125.0824280169808.63022106494166
0.35126.6370743704489.10864458026332
0.36128.2739694094199.62091972295684
0.37129.99806062501110.1854302546567
0.38131.81611662482510.8134414915729
0.39133.73560941461611.5056597373191
0.4135.76320849588212.2503213027528
0.41137.90308171913913.0225543916651
0.42140.1552452073413.7863999532861
0.43142.51421750314114.4981042283664
0.44144.96820674621515.1110248739602
0.45147.49899566052915.5808747207301
0.46150.08259558561415.8711979134559
0.47152.69063174966115.9571639724236
0.48155.29231519209915.8290791516387
0.49157.85677038290115.4941302713948
0.5160.35543660283214.9750846162675
0.51162.76425405685814.3082200204935
0.52165.06538272300213.5401632031341
0.53167.24827508091412.722154179163
0.54169.31001881005011.9064043435611
0.55171.25496500812511.1406628410739
0.56173.09374497008110.4643083051272
0.57174.8418416547809.90599172956865
0.58176.5179142256229.48120550454395
0.59178.1420753900119.19232395105151
0.6179.7342968067989.03053258115803
0.61181.3130759389308.97801106864969
0.62182.8944478563199.01214991928344
0.63184.4913765049879.10762792849565
0.64186.1135191509219.24134600896668
0.65187.7673304361839.3917401172114
0.66189.4564619763379.54230178197387
0.67191.1824203244919.68144759602655
0.68192.9454675411839.80257044928646
0.69194.7457769253099.90485799204665
0.7196.5848786462049.99494600813875
0.71198.46742855976510.0874302375841
0.72200.40329001320810.2075579311240
0.73202.40982033628110.3938847416603
0.74204.51410287401210.6995662325526
0.75206.75468644859611.1909672469464
0.76209.18223803419111.9394691081240
0.77211.85845316598413.0059298285942
0.78214.85267763973014.4220305340964
0.79218.23602334219716.1732671997329
0.8222.07330092458218.1910262206893
0.81226.41374645629820.3536647204680
0.82231.28210278629722.4998169092240
0.83236.67189013502924.4477145970917
0.84242.5424520579226.0221954970998
0.85248.82051851397427.0825351001489
0.86255.40575896180027.5434782269819
0.87262.17856408262527.3829907516522
0.88269.00774913329126.631320163147
0.89275.75659677583525.3457068448793
0.9282.28775684183823.5818903288855
0.91288.47025169212021.3825538852485
0.92294.19356025166918.8015529142660
0.93299.39243280321915.9557788208000
0.94304.08011673658813.0814442539754
0.95308.37631311364910.5503614141426
0.96312.4996272253188.80398974236193
0.97316.6774842121978.1520754075623
0.98320.9351180056078.5246529055552
0.99324.8249417582309.47410055385444

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 105.750133072300 & 0.914474485560778 \tabularnewline
0.02 & 106.130012564248 & 0.838110320496959 \tabularnewline
0.03 & 106.542714468334 & 0.78814874405165 \tabularnewline
0.04 & 106.931277378315 & 0.765097863463465 \tabularnewline
0.05 & 107.279279542642 & 0.757887271917893 \tabularnewline
0.06 & 107.590481632287 & 0.757549342772114 \tabularnewline
0.07 & 107.873942420398 & 0.761281170471581 \tabularnewline
0.08 & 108.13841350604 & 0.773695675226266 \tabularnewline
0.09 & 108.391705124005 & 0.804091763411999 \tabularnewline
0.1 & 108.641223816732 & 0.86020803974029 \tabularnewline
0.11 & 108.894110689643 & 0.944048597667952 \tabularnewline
0.12 & 109.156839388686 & 1.05114354512755 \tabularnewline
0.13 & 109.434644873683 & 1.17349325094876 \tabularnewline
0.14 & 109.731158593438 & 1.30303509085034 \tabularnewline
0.15 & 110.048445617952 & 1.43379539420145 \tabularnewline
0.16 & 110.387448546975 & 1.56363195847154 \tabularnewline
0.17 & 110.748713765525 & 1.69502744054832 \tabularnewline
0.18 & 111.133220226076 & 1.83488622973163 \tabularnewline
0.19 & 111.543132912118 & 1.99409394118147 \tabularnewline
0.2 & 111.982338918670 & 2.18549133580091 \tabularnewline
0.21 & 112.456674800086 & 2.42229419957107 \tabularnewline
0.22 & 112.973808374005 & 2.71505761806633 \tabularnewline
0.23 & 113.542791188084 & 3.06976947125945 \tabularnewline
0.24 & 114.173346317674 & 3.48679914636152 \tabularnewline
0.25 & 114.874996722840 & 3.96024710940795 \tabularnewline
0.26 & 115.656167500393 & 4.47893451230644 \tabularnewline
0.27 & 116.523405973573 & 5.02753659732137 \tabularnewline
0.28 & 117.480852776893 & 5.58906591588996 \tabularnewline
0.29 & 118.530063932166 & 6.14717466232733 \tabularnewline
0.3 & 119.670231418199 & 6.68819906953759 \tabularnewline
0.31 & 120.898785046193 & 7.20424380024732 \tabularnewline
0.32 & 122.21229174986 & 7.69429118724762 \tabularnewline
0.33 & 123.607511064577 & 8.16501304075568 \tabularnewline
0.34 & 125.082428016980 & 8.63022106494166 \tabularnewline
0.35 & 126.637074370448 & 9.10864458026332 \tabularnewline
0.36 & 128.273969409419 & 9.62091972295684 \tabularnewline
0.37 & 129.998060625011 & 10.1854302546567 \tabularnewline
0.38 & 131.816116624825 & 10.8134414915729 \tabularnewline
0.39 & 133.735609414616 & 11.5056597373191 \tabularnewline
0.4 & 135.763208495882 & 12.2503213027528 \tabularnewline
0.41 & 137.903081719139 & 13.0225543916651 \tabularnewline
0.42 & 140.15524520734 & 13.7863999532861 \tabularnewline
0.43 & 142.514217503141 & 14.4981042283664 \tabularnewline
0.44 & 144.968206746215 & 15.1110248739602 \tabularnewline
0.45 & 147.498995660529 & 15.5808747207301 \tabularnewline
0.46 & 150.082595585614 & 15.8711979134559 \tabularnewline
0.47 & 152.690631749661 & 15.9571639724236 \tabularnewline
0.48 & 155.292315192099 & 15.8290791516387 \tabularnewline
0.49 & 157.856770382901 & 15.4941302713948 \tabularnewline
0.5 & 160.355436602832 & 14.9750846162675 \tabularnewline
0.51 & 162.764254056858 & 14.3082200204935 \tabularnewline
0.52 & 165.065382723002 & 13.5401632031341 \tabularnewline
0.53 & 167.248275080914 & 12.722154179163 \tabularnewline
0.54 & 169.310018810050 & 11.9064043435611 \tabularnewline
0.55 & 171.254965008125 & 11.1406628410739 \tabularnewline
0.56 & 173.093744970081 & 10.4643083051272 \tabularnewline
0.57 & 174.841841654780 & 9.90599172956865 \tabularnewline
0.58 & 176.517914225622 & 9.48120550454395 \tabularnewline
0.59 & 178.142075390011 & 9.19232395105151 \tabularnewline
0.6 & 179.734296806798 & 9.03053258115803 \tabularnewline
0.61 & 181.313075938930 & 8.97801106864969 \tabularnewline
0.62 & 182.894447856319 & 9.01214991928344 \tabularnewline
0.63 & 184.491376504987 & 9.10762792849565 \tabularnewline
0.64 & 186.113519150921 & 9.24134600896668 \tabularnewline
0.65 & 187.767330436183 & 9.3917401172114 \tabularnewline
0.66 & 189.456461976337 & 9.54230178197387 \tabularnewline
0.67 & 191.182420324491 & 9.68144759602655 \tabularnewline
0.68 & 192.945467541183 & 9.80257044928646 \tabularnewline
0.69 & 194.745776925309 & 9.90485799204665 \tabularnewline
0.7 & 196.584878646204 & 9.99494600813875 \tabularnewline
0.71 & 198.467428559765 & 10.0874302375841 \tabularnewline
0.72 & 200.403290013208 & 10.2075579311240 \tabularnewline
0.73 & 202.409820336281 & 10.3938847416603 \tabularnewline
0.74 & 204.514102874012 & 10.6995662325526 \tabularnewline
0.75 & 206.754686448596 & 11.1909672469464 \tabularnewline
0.76 & 209.182238034191 & 11.9394691081240 \tabularnewline
0.77 & 211.858453165984 & 13.0059298285942 \tabularnewline
0.78 & 214.852677639730 & 14.4220305340964 \tabularnewline
0.79 & 218.236023342197 & 16.1732671997329 \tabularnewline
0.8 & 222.073300924582 & 18.1910262206893 \tabularnewline
0.81 & 226.413746456298 & 20.3536647204680 \tabularnewline
0.82 & 231.282102786297 & 22.4998169092240 \tabularnewline
0.83 & 236.671890135029 & 24.4477145970917 \tabularnewline
0.84 & 242.54245205792 & 26.0221954970998 \tabularnewline
0.85 & 248.820518513974 & 27.0825351001489 \tabularnewline
0.86 & 255.405758961800 & 27.5434782269819 \tabularnewline
0.87 & 262.178564082625 & 27.3829907516522 \tabularnewline
0.88 & 269.007749133291 & 26.631320163147 \tabularnewline
0.89 & 275.756596775835 & 25.3457068448793 \tabularnewline
0.9 & 282.287756841838 & 23.5818903288855 \tabularnewline
0.91 & 288.470251692120 & 21.3825538852485 \tabularnewline
0.92 & 294.193560251669 & 18.8015529142660 \tabularnewline
0.93 & 299.392432803219 & 15.9557788208000 \tabularnewline
0.94 & 304.080116736588 & 13.0814442539754 \tabularnewline
0.95 & 308.376313113649 & 10.5503614141426 \tabularnewline
0.96 & 312.499627225318 & 8.80398974236193 \tabularnewline
0.97 & 316.677484212197 & 8.1520754075623 \tabularnewline
0.98 & 320.935118005607 & 8.5246529055552 \tabularnewline
0.99 & 324.824941758230 & 9.47410055385444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47339&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]105.750133072300[/C][C]0.914474485560778[/C][/ROW]
[ROW][C]0.02[/C][C]106.130012564248[/C][C]0.838110320496959[/C][/ROW]
[ROW][C]0.03[/C][C]106.542714468334[/C][C]0.78814874405165[/C][/ROW]
[ROW][C]0.04[/C][C]106.931277378315[/C][C]0.765097863463465[/C][/ROW]
[ROW][C]0.05[/C][C]107.279279542642[/C][C]0.757887271917893[/C][/ROW]
[ROW][C]0.06[/C][C]107.590481632287[/C][C]0.757549342772114[/C][/ROW]
[ROW][C]0.07[/C][C]107.873942420398[/C][C]0.761281170471581[/C][/ROW]
[ROW][C]0.08[/C][C]108.13841350604[/C][C]0.773695675226266[/C][/ROW]
[ROW][C]0.09[/C][C]108.391705124005[/C][C]0.804091763411999[/C][/ROW]
[ROW][C]0.1[/C][C]108.641223816732[/C][C]0.86020803974029[/C][/ROW]
[ROW][C]0.11[/C][C]108.894110689643[/C][C]0.944048597667952[/C][/ROW]
[ROW][C]0.12[/C][C]109.156839388686[/C][C]1.05114354512755[/C][/ROW]
[ROW][C]0.13[/C][C]109.434644873683[/C][C]1.17349325094876[/C][/ROW]
[ROW][C]0.14[/C][C]109.731158593438[/C][C]1.30303509085034[/C][/ROW]
[ROW][C]0.15[/C][C]110.048445617952[/C][C]1.43379539420145[/C][/ROW]
[ROW][C]0.16[/C][C]110.387448546975[/C][C]1.56363195847154[/C][/ROW]
[ROW][C]0.17[/C][C]110.748713765525[/C][C]1.69502744054832[/C][/ROW]
[ROW][C]0.18[/C][C]111.133220226076[/C][C]1.83488622973163[/C][/ROW]
[ROW][C]0.19[/C][C]111.543132912118[/C][C]1.99409394118147[/C][/ROW]
[ROW][C]0.2[/C][C]111.982338918670[/C][C]2.18549133580091[/C][/ROW]
[ROW][C]0.21[/C][C]112.456674800086[/C][C]2.42229419957107[/C][/ROW]
[ROW][C]0.22[/C][C]112.973808374005[/C][C]2.71505761806633[/C][/ROW]
[ROW][C]0.23[/C][C]113.542791188084[/C][C]3.06976947125945[/C][/ROW]
[ROW][C]0.24[/C][C]114.173346317674[/C][C]3.48679914636152[/C][/ROW]
[ROW][C]0.25[/C][C]114.874996722840[/C][C]3.96024710940795[/C][/ROW]
[ROW][C]0.26[/C][C]115.656167500393[/C][C]4.47893451230644[/C][/ROW]
[ROW][C]0.27[/C][C]116.523405973573[/C][C]5.02753659732137[/C][/ROW]
[ROW][C]0.28[/C][C]117.480852776893[/C][C]5.58906591588996[/C][/ROW]
[ROW][C]0.29[/C][C]118.530063932166[/C][C]6.14717466232733[/C][/ROW]
[ROW][C]0.3[/C][C]119.670231418199[/C][C]6.68819906953759[/C][/ROW]
[ROW][C]0.31[/C][C]120.898785046193[/C][C]7.20424380024732[/C][/ROW]
[ROW][C]0.32[/C][C]122.21229174986[/C][C]7.69429118724762[/C][/ROW]
[ROW][C]0.33[/C][C]123.607511064577[/C][C]8.16501304075568[/C][/ROW]
[ROW][C]0.34[/C][C]125.082428016980[/C][C]8.63022106494166[/C][/ROW]
[ROW][C]0.35[/C][C]126.637074370448[/C][C]9.10864458026332[/C][/ROW]
[ROW][C]0.36[/C][C]128.273969409419[/C][C]9.62091972295684[/C][/ROW]
[ROW][C]0.37[/C][C]129.998060625011[/C][C]10.1854302546567[/C][/ROW]
[ROW][C]0.38[/C][C]131.816116624825[/C][C]10.8134414915729[/C][/ROW]
[ROW][C]0.39[/C][C]133.735609414616[/C][C]11.5056597373191[/C][/ROW]
[ROW][C]0.4[/C][C]135.763208495882[/C][C]12.2503213027528[/C][/ROW]
[ROW][C]0.41[/C][C]137.903081719139[/C][C]13.0225543916651[/C][/ROW]
[ROW][C]0.42[/C][C]140.15524520734[/C][C]13.7863999532861[/C][/ROW]
[ROW][C]0.43[/C][C]142.514217503141[/C][C]14.4981042283664[/C][/ROW]
[ROW][C]0.44[/C][C]144.968206746215[/C][C]15.1110248739602[/C][/ROW]
[ROW][C]0.45[/C][C]147.498995660529[/C][C]15.5808747207301[/C][/ROW]
[ROW][C]0.46[/C][C]150.082595585614[/C][C]15.8711979134559[/C][/ROW]
[ROW][C]0.47[/C][C]152.690631749661[/C][C]15.9571639724236[/C][/ROW]
[ROW][C]0.48[/C][C]155.292315192099[/C][C]15.8290791516387[/C][/ROW]
[ROW][C]0.49[/C][C]157.856770382901[/C][C]15.4941302713948[/C][/ROW]
[ROW][C]0.5[/C][C]160.355436602832[/C][C]14.9750846162675[/C][/ROW]
[ROW][C]0.51[/C][C]162.764254056858[/C][C]14.3082200204935[/C][/ROW]
[ROW][C]0.52[/C][C]165.065382723002[/C][C]13.5401632031341[/C][/ROW]
[ROW][C]0.53[/C][C]167.248275080914[/C][C]12.722154179163[/C][/ROW]
[ROW][C]0.54[/C][C]169.310018810050[/C][C]11.9064043435611[/C][/ROW]
[ROW][C]0.55[/C][C]171.254965008125[/C][C]11.1406628410739[/C][/ROW]
[ROW][C]0.56[/C][C]173.093744970081[/C][C]10.4643083051272[/C][/ROW]
[ROW][C]0.57[/C][C]174.841841654780[/C][C]9.90599172956865[/C][/ROW]
[ROW][C]0.58[/C][C]176.517914225622[/C][C]9.48120550454395[/C][/ROW]
[ROW][C]0.59[/C][C]178.142075390011[/C][C]9.19232395105151[/C][/ROW]
[ROW][C]0.6[/C][C]179.734296806798[/C][C]9.03053258115803[/C][/ROW]
[ROW][C]0.61[/C][C]181.313075938930[/C][C]8.97801106864969[/C][/ROW]
[ROW][C]0.62[/C][C]182.894447856319[/C][C]9.01214991928344[/C][/ROW]
[ROW][C]0.63[/C][C]184.491376504987[/C][C]9.10762792849565[/C][/ROW]
[ROW][C]0.64[/C][C]186.113519150921[/C][C]9.24134600896668[/C][/ROW]
[ROW][C]0.65[/C][C]187.767330436183[/C][C]9.3917401172114[/C][/ROW]
[ROW][C]0.66[/C][C]189.456461976337[/C][C]9.54230178197387[/C][/ROW]
[ROW][C]0.67[/C][C]191.182420324491[/C][C]9.68144759602655[/C][/ROW]
[ROW][C]0.68[/C][C]192.945467541183[/C][C]9.80257044928646[/C][/ROW]
[ROW][C]0.69[/C][C]194.745776925309[/C][C]9.90485799204665[/C][/ROW]
[ROW][C]0.7[/C][C]196.584878646204[/C][C]9.99494600813875[/C][/ROW]
[ROW][C]0.71[/C][C]198.467428559765[/C][C]10.0874302375841[/C][/ROW]
[ROW][C]0.72[/C][C]200.403290013208[/C][C]10.2075579311240[/C][/ROW]
[ROW][C]0.73[/C][C]202.409820336281[/C][C]10.3938847416603[/C][/ROW]
[ROW][C]0.74[/C][C]204.514102874012[/C][C]10.6995662325526[/C][/ROW]
[ROW][C]0.75[/C][C]206.754686448596[/C][C]11.1909672469464[/C][/ROW]
[ROW][C]0.76[/C][C]209.182238034191[/C][C]11.9394691081240[/C][/ROW]
[ROW][C]0.77[/C][C]211.858453165984[/C][C]13.0059298285942[/C][/ROW]
[ROW][C]0.78[/C][C]214.852677639730[/C][C]14.4220305340964[/C][/ROW]
[ROW][C]0.79[/C][C]218.236023342197[/C][C]16.1732671997329[/C][/ROW]
[ROW][C]0.8[/C][C]222.073300924582[/C][C]18.1910262206893[/C][/ROW]
[ROW][C]0.81[/C][C]226.413746456298[/C][C]20.3536647204680[/C][/ROW]
[ROW][C]0.82[/C][C]231.282102786297[/C][C]22.4998169092240[/C][/ROW]
[ROW][C]0.83[/C][C]236.671890135029[/C][C]24.4477145970917[/C][/ROW]
[ROW][C]0.84[/C][C]242.54245205792[/C][C]26.0221954970998[/C][/ROW]
[ROW][C]0.85[/C][C]248.820518513974[/C][C]27.0825351001489[/C][/ROW]
[ROW][C]0.86[/C][C]255.405758961800[/C][C]27.5434782269819[/C][/ROW]
[ROW][C]0.87[/C][C]262.178564082625[/C][C]27.3829907516522[/C][/ROW]
[ROW][C]0.88[/C][C]269.007749133291[/C][C]26.631320163147[/C][/ROW]
[ROW][C]0.89[/C][C]275.756596775835[/C][C]25.3457068448793[/C][/ROW]
[ROW][C]0.9[/C][C]282.287756841838[/C][C]23.5818903288855[/C][/ROW]
[ROW][C]0.91[/C][C]288.470251692120[/C][C]21.3825538852485[/C][/ROW]
[ROW][C]0.92[/C][C]294.193560251669[/C][C]18.8015529142660[/C][/ROW]
[ROW][C]0.93[/C][C]299.392432803219[/C][C]15.9557788208000[/C][/ROW]
[ROW][C]0.94[/C][C]304.080116736588[/C][C]13.0814442539754[/C][/ROW]
[ROW][C]0.95[/C][C]308.376313113649[/C][C]10.5503614141426[/C][/ROW]
[ROW][C]0.96[/C][C]312.499627225318[/C][C]8.80398974236193[/C][/ROW]
[ROW][C]0.97[/C][C]316.677484212197[/C][C]8.1520754075623[/C][/ROW]
[ROW][C]0.98[/C][C]320.935118005607[/C][C]8.5246529055552[/C][/ROW]
[ROW][C]0.99[/C][C]324.824941758230[/C][C]9.47410055385444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47339&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47339&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
0.01105.7501330723000.914474485560778
0.02106.1300125642480.838110320496959
0.03106.5427144683340.78814874405165
0.04106.9312773783150.765097863463465
0.05107.2792795426420.757887271917893
0.06107.5904816322870.757549342772114
0.07107.8739424203980.761281170471581
0.08108.138413506040.773695675226266
0.09108.3917051240050.804091763411999
0.1108.6412238167320.86020803974029
0.11108.8941106896430.944048597667952
0.12109.1568393886861.05114354512755
0.13109.4346448736831.17349325094876
0.14109.7311585934381.30303509085034
0.15110.0484456179521.43379539420145
0.16110.3874485469751.56363195847154
0.17110.7487137655251.69502744054832
0.18111.1332202260761.83488622973163
0.19111.5431329121181.99409394118147
0.2111.9823389186702.18549133580091
0.21112.4566748000862.42229419957107
0.22112.9738083740052.71505761806633
0.23113.5427911880843.06976947125945
0.24114.1733463176743.48679914636152
0.25114.8749967228403.96024710940795
0.26115.6561675003934.47893451230644
0.27116.5234059735735.02753659732137
0.28117.4808527768935.58906591588996
0.29118.5300639321666.14717466232733
0.3119.6702314181996.68819906953759
0.31120.8987850461937.20424380024732
0.32122.212291749867.69429118724762
0.33123.6075110645778.16501304075568
0.34125.0824280169808.63022106494166
0.35126.6370743704489.10864458026332
0.36128.2739694094199.62091972295684
0.37129.99806062501110.1854302546567
0.38131.81611662482510.8134414915729
0.39133.73560941461611.5056597373191
0.4135.76320849588212.2503213027528
0.41137.90308171913913.0225543916651
0.42140.1552452073413.7863999532861
0.43142.51421750314114.4981042283664
0.44144.96820674621515.1110248739602
0.45147.49899566052915.5808747207301
0.46150.08259558561415.8711979134559
0.47152.69063174966115.9571639724236
0.48155.29231519209915.8290791516387
0.49157.85677038290115.4941302713948
0.5160.35543660283214.9750846162675
0.51162.76425405685814.3082200204935
0.52165.06538272300213.5401632031341
0.53167.24827508091412.722154179163
0.54169.31001881005011.9064043435611
0.55171.25496500812511.1406628410739
0.56173.09374497008110.4643083051272
0.57174.8418416547809.90599172956865
0.58176.5179142256229.48120550454395
0.59178.1420753900119.19232395105151
0.6179.7342968067989.03053258115803
0.61181.3130759389308.97801106864969
0.62182.8944478563199.01214991928344
0.63184.4913765049879.10762792849565
0.64186.1135191509219.24134600896668
0.65187.7673304361839.3917401172114
0.66189.4564619763379.54230178197387
0.67191.1824203244919.68144759602655
0.68192.9454675411839.80257044928646
0.69194.7457769253099.90485799204665
0.7196.5848786462049.99494600813875
0.71198.46742855976510.0874302375841
0.72200.40329001320810.2075579311240
0.73202.40982033628110.3938847416603
0.74204.51410287401210.6995662325526
0.75206.75468644859611.1909672469464
0.76209.18223803419111.9394691081240
0.77211.85845316598413.0059298285942
0.78214.85267763973014.4220305340964
0.79218.23602334219716.1732671997329
0.8222.07330092458218.1910262206893
0.81226.41374645629820.3536647204680
0.82231.28210278629722.4998169092240
0.83236.67189013502924.4477145970917
0.84242.5424520579226.0221954970998
0.85248.82051851397427.0825351001489
0.86255.40575896180027.5434782269819
0.87262.17856408262527.3829907516522
0.88269.00774913329126.631320163147
0.89275.75659677583525.3457068448793
0.9282.28775684183823.5818903288855
0.91288.47025169212021.3825538852485
0.92294.19356025166918.8015529142660
0.93299.39243280321915.9557788208000
0.94304.08011673658813.0814442539754
0.95308.37631311364910.5503614141426
0.96312.4996272253188.80398974236193
0.97316.6774842121978.1520754075623
0.98320.9351180056078.5246529055552
0.99324.8249417582309.47410055385444


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')