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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 computationSun, 02 Mar 2008 12:26:21 -0700
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/Mar/02/t1204486064g0k6601rugi32bs.htm/, Retrieved Tue, 07 May 2024 03:01:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9674, Retrieved Tue, 07 May 2024 03:01:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157

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] [percentielen prij...] [2008-03-02 19:26:21] [3e68c9212ad297cb41373898449ccda3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9674&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9674&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9674&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0170.1165324388584.69142707003475
0.0273.35112180647927.18730969438258
0.0377.24060225234357.64059425498418
0.0480.8996206165876.48436837467515
0.0583.84701568335624.87733909971026
0.0686.01420249022663.56998078649833
0.0787.55955320161582.76045788820841
0.0888.69352093525832.3537533406587
0.0989.58984717703472.20805497723098
0.190.36621301323382.22981700752582
0.1191.09500071281632.36164229148640
0.1291.81836277721262.55671098784982
0.1392.55890681133992.77380778710838
0.1493.32619674298142.98209694536059
0.1594.12120824239673.1638298537917
0.1694.93999269516263.31428759609988
0.1795.77674285875663.43793201374952
0.1896.6260397036363.54381923730048
0.1997.48416358313193.64178574915761
0.298.34961454962053.74079179228543
0.2199.22315711393043.84895109283122
0.22100.1077103890813.97470931495687
0.23101.0082903085134.12807920184747
0.24101.9320604272244.32125862641172
0.25102.8884293710854.56800137643667
0.26103.8890767172124.8826336434927
0.27104.9477924608335.27764249711119
0.28106.0800579378075.76197123969681
0.29107.3023545417616.33941325883171
0.3108.6312425892327.00724840164583
0.31110.0822959412377.75675722541269
0.32111.6690047858008.57280239666004
0.33113.4017695699459.43523895711188
0.34115.28710520765610.3204567522712
0.35117.32715811058111.2032184561872
0.36119.51961039113212.0582313677581
0.37121.85800652036212.8638284857433
0.38124.33248911631013.6026894223764
0.39126.93087554116914.2650124147299
0.4129.63995155336414.848888950438
0.41132.44681129312915.3599630301085
0.42135.34004508217515.8111973080776
0.43138.31057797476916.2203268899386
0.44141.35199898942816.6051910816782
0.45144.46029297401716.9803015517385
0.46147.63298517917217.3539802404874
0.47150.86781605288317.722530289236
0.48154.16115896523118.0725827946422
0.49157.50645520504518.3794425720940
0.5160.89295319192518.6127141549900
0.51164.30499731221918.7391233828463
0.52167.72202324264218.7288677999247
0.53171.11929890430218.5589590774418
0.54174.46932727277418.2177565694766
0.55177.74372309044617.7062273178490
0.56180.91530812864117.0379790291606
0.57183.96014750362816.2383542968194
0.58186.8592710515215.3408376884255
0.59189.59987965674614.3845497192872
0.6192.17591394017313.4101912755821
0.61194.58794959541612.4556925416194
0.62196.84247053039811.5541211920239
0.63198.95065127598810.730009773085
0.64200.9268481845759.99847750622347
0.65202.7870474524669.36392979769334
0.66204.5475367473298.82197600949865
0.67206.2240443427638.36285730955138
0.68207.8315157090677.97522377873015
0.69209.3845712935257.65101483992719
0.7210.8985233693317.39111969298075
0.71212.3906535770137.2058033690272
0.72213.8813099434557.11534919410578
0.73215.3943232611577.1442574792552
0.74216.9563117169447.311789175247
0.75218.5946605406877.62105873025284
0.76220.3343123826478.05176052676331
0.77222.1939179326338.55741156350597
0.78224.1822634761889.07347079191497
0.79226.2960773513749.52729673720627
0.8228.5202033539359.85364679007769
0.81230.83067275800510.0103862639575
0.82233.2004907572939.98901563719184
0.83235.6072064478959.82129797111544
0.84238.0408863534239.57573003229967
0.85240.5112582546629.3457153322598
0.86243.0536076157679.23284582441203
0.87245.7341506911869.33390892274701
0.88248.6562503486089.74147118096637
0.89251.96784977957810.5593665653208
0.9255.86693625357211.9087343237075
0.91260.59580207857813.8877033236847
0.92266.40857737619716.4698231954797
0.93273.49545473075119.3671483581396
0.94281.85986397343121.9189648295847
0.95291.17906764602623.1115659656220
0.96300.72791079320921.8694351378891
0.97309.47176239213617.6926300178304
0.98316.37226104441511.4033570194634
0.99320.7823173588155.36272467650232

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 70.116532438858 & 4.69142707003475 \tabularnewline
0.02 & 73.3511218064792 & 7.18730969438258 \tabularnewline
0.03 & 77.2406022523435 & 7.64059425498418 \tabularnewline
0.04 & 80.899620616587 & 6.48436837467515 \tabularnewline
0.05 & 83.8470156833562 & 4.87733909971026 \tabularnewline
0.06 & 86.0142024902266 & 3.56998078649833 \tabularnewline
0.07 & 87.5595532016158 & 2.76045788820841 \tabularnewline
0.08 & 88.6935209352583 & 2.3537533406587 \tabularnewline
0.09 & 89.5898471770347 & 2.20805497723098 \tabularnewline
0.1 & 90.3662130132338 & 2.22981700752582 \tabularnewline
0.11 & 91.0950007128163 & 2.36164229148640 \tabularnewline
0.12 & 91.8183627772126 & 2.55671098784982 \tabularnewline
0.13 & 92.5589068113399 & 2.77380778710838 \tabularnewline
0.14 & 93.3261967429814 & 2.98209694536059 \tabularnewline
0.15 & 94.1212082423967 & 3.1638298537917 \tabularnewline
0.16 & 94.9399926951626 & 3.31428759609988 \tabularnewline
0.17 & 95.7767428587566 & 3.43793201374952 \tabularnewline
0.18 & 96.626039703636 & 3.54381923730048 \tabularnewline
0.19 & 97.4841635831319 & 3.64178574915761 \tabularnewline
0.2 & 98.3496145496205 & 3.74079179228543 \tabularnewline
0.21 & 99.2231571139304 & 3.84895109283122 \tabularnewline
0.22 & 100.107710389081 & 3.97470931495687 \tabularnewline
0.23 & 101.008290308513 & 4.12807920184747 \tabularnewline
0.24 & 101.932060427224 & 4.32125862641172 \tabularnewline
0.25 & 102.888429371085 & 4.56800137643667 \tabularnewline
0.26 & 103.889076717212 & 4.8826336434927 \tabularnewline
0.27 & 104.947792460833 & 5.27764249711119 \tabularnewline
0.28 & 106.080057937807 & 5.76197123969681 \tabularnewline
0.29 & 107.302354541761 & 6.33941325883171 \tabularnewline
0.3 & 108.631242589232 & 7.00724840164583 \tabularnewline
0.31 & 110.082295941237 & 7.75675722541269 \tabularnewline
0.32 & 111.669004785800 & 8.57280239666004 \tabularnewline
0.33 & 113.401769569945 & 9.43523895711188 \tabularnewline
0.34 & 115.287105207656 & 10.3204567522712 \tabularnewline
0.35 & 117.327158110581 & 11.2032184561872 \tabularnewline
0.36 & 119.519610391132 & 12.0582313677581 \tabularnewline
0.37 & 121.858006520362 & 12.8638284857433 \tabularnewline
0.38 & 124.332489116310 & 13.6026894223764 \tabularnewline
0.39 & 126.930875541169 & 14.2650124147299 \tabularnewline
0.4 & 129.639951553364 & 14.848888950438 \tabularnewline
0.41 & 132.446811293129 & 15.3599630301085 \tabularnewline
0.42 & 135.340045082175 & 15.8111973080776 \tabularnewline
0.43 & 138.310577974769 & 16.2203268899386 \tabularnewline
0.44 & 141.351998989428 & 16.6051910816782 \tabularnewline
0.45 & 144.460292974017 & 16.9803015517385 \tabularnewline
0.46 & 147.632985179172 & 17.3539802404874 \tabularnewline
0.47 & 150.867816052883 & 17.722530289236 \tabularnewline
0.48 & 154.161158965231 & 18.0725827946422 \tabularnewline
0.49 & 157.506455205045 & 18.3794425720940 \tabularnewline
0.5 & 160.892953191925 & 18.6127141549900 \tabularnewline
0.51 & 164.304997312219 & 18.7391233828463 \tabularnewline
0.52 & 167.722023242642 & 18.7288677999247 \tabularnewline
0.53 & 171.119298904302 & 18.5589590774418 \tabularnewline
0.54 & 174.469327272774 & 18.2177565694766 \tabularnewline
0.55 & 177.743723090446 & 17.7062273178490 \tabularnewline
0.56 & 180.915308128641 & 17.0379790291606 \tabularnewline
0.57 & 183.960147503628 & 16.2383542968194 \tabularnewline
0.58 & 186.85927105152 & 15.3408376884255 \tabularnewline
0.59 & 189.599879656746 & 14.3845497192872 \tabularnewline
0.6 & 192.175913940173 & 13.4101912755821 \tabularnewline
0.61 & 194.587949595416 & 12.4556925416194 \tabularnewline
0.62 & 196.842470530398 & 11.5541211920239 \tabularnewline
0.63 & 198.950651275988 & 10.730009773085 \tabularnewline
0.64 & 200.926848184575 & 9.99847750622347 \tabularnewline
0.65 & 202.787047452466 & 9.36392979769334 \tabularnewline
0.66 & 204.547536747329 & 8.82197600949865 \tabularnewline
0.67 & 206.224044342763 & 8.36285730955138 \tabularnewline
0.68 & 207.831515709067 & 7.97522377873015 \tabularnewline
0.69 & 209.384571293525 & 7.65101483992719 \tabularnewline
0.7 & 210.898523369331 & 7.39111969298075 \tabularnewline
0.71 & 212.390653577013 & 7.2058033690272 \tabularnewline
0.72 & 213.881309943455 & 7.11534919410578 \tabularnewline
0.73 & 215.394323261157 & 7.1442574792552 \tabularnewline
0.74 & 216.956311716944 & 7.311789175247 \tabularnewline
0.75 & 218.594660540687 & 7.62105873025284 \tabularnewline
0.76 & 220.334312382647 & 8.05176052676331 \tabularnewline
0.77 & 222.193917932633 & 8.55741156350597 \tabularnewline
0.78 & 224.182263476188 & 9.07347079191497 \tabularnewline
0.79 & 226.296077351374 & 9.52729673720627 \tabularnewline
0.8 & 228.520203353935 & 9.85364679007769 \tabularnewline
0.81 & 230.830672758005 & 10.0103862639575 \tabularnewline
0.82 & 233.200490757293 & 9.98901563719184 \tabularnewline
0.83 & 235.607206447895 & 9.82129797111544 \tabularnewline
0.84 & 238.040886353423 & 9.57573003229967 \tabularnewline
0.85 & 240.511258254662 & 9.3457153322598 \tabularnewline
0.86 & 243.053607615767 & 9.23284582441203 \tabularnewline
0.87 & 245.734150691186 & 9.33390892274701 \tabularnewline
0.88 & 248.656250348608 & 9.74147118096637 \tabularnewline
0.89 & 251.967849779578 & 10.5593665653208 \tabularnewline
0.9 & 255.866936253572 & 11.9087343237075 \tabularnewline
0.91 & 260.595802078578 & 13.8877033236847 \tabularnewline
0.92 & 266.408577376197 & 16.4698231954797 \tabularnewline
0.93 & 273.495454730751 & 19.3671483581396 \tabularnewline
0.94 & 281.859863973431 & 21.9189648295847 \tabularnewline
0.95 & 291.179067646026 & 23.1115659656220 \tabularnewline
0.96 & 300.727910793209 & 21.8694351378891 \tabularnewline
0.97 & 309.471762392136 & 17.6926300178304 \tabularnewline
0.98 & 316.372261044415 & 11.4033570194634 \tabularnewline
0.99 & 320.782317358815 & 5.36272467650232 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9674&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]70.116532438858[/C][C]4.69142707003475[/C][/ROW]
[ROW][C]0.02[/C][C]73.3511218064792[/C][C]7.18730969438258[/C][/ROW]
[ROW][C]0.03[/C][C]77.2406022523435[/C][C]7.64059425498418[/C][/ROW]
[ROW][C]0.04[/C][C]80.899620616587[/C][C]6.48436837467515[/C][/ROW]
[ROW][C]0.05[/C][C]83.8470156833562[/C][C]4.87733909971026[/C][/ROW]
[ROW][C]0.06[/C][C]86.0142024902266[/C][C]3.56998078649833[/C][/ROW]
[ROW][C]0.07[/C][C]87.5595532016158[/C][C]2.76045788820841[/C][/ROW]
[ROW][C]0.08[/C][C]88.6935209352583[/C][C]2.3537533406587[/C][/ROW]
[ROW][C]0.09[/C][C]89.5898471770347[/C][C]2.20805497723098[/C][/ROW]
[ROW][C]0.1[/C][C]90.3662130132338[/C][C]2.22981700752582[/C][/ROW]
[ROW][C]0.11[/C][C]91.0950007128163[/C][C]2.36164229148640[/C][/ROW]
[ROW][C]0.12[/C][C]91.8183627772126[/C][C]2.55671098784982[/C][/ROW]
[ROW][C]0.13[/C][C]92.5589068113399[/C][C]2.77380778710838[/C][/ROW]
[ROW][C]0.14[/C][C]93.3261967429814[/C][C]2.98209694536059[/C][/ROW]
[ROW][C]0.15[/C][C]94.1212082423967[/C][C]3.1638298537917[/C][/ROW]
[ROW][C]0.16[/C][C]94.9399926951626[/C][C]3.31428759609988[/C][/ROW]
[ROW][C]0.17[/C][C]95.7767428587566[/C][C]3.43793201374952[/C][/ROW]
[ROW][C]0.18[/C][C]96.626039703636[/C][C]3.54381923730048[/C][/ROW]
[ROW][C]0.19[/C][C]97.4841635831319[/C][C]3.64178574915761[/C][/ROW]
[ROW][C]0.2[/C][C]98.3496145496205[/C][C]3.74079179228543[/C][/ROW]
[ROW][C]0.21[/C][C]99.2231571139304[/C][C]3.84895109283122[/C][/ROW]
[ROW][C]0.22[/C][C]100.107710389081[/C][C]3.97470931495687[/C][/ROW]
[ROW][C]0.23[/C][C]101.008290308513[/C][C]4.12807920184747[/C][/ROW]
[ROW][C]0.24[/C][C]101.932060427224[/C][C]4.32125862641172[/C][/ROW]
[ROW][C]0.25[/C][C]102.888429371085[/C][C]4.56800137643667[/C][/ROW]
[ROW][C]0.26[/C][C]103.889076717212[/C][C]4.8826336434927[/C][/ROW]
[ROW][C]0.27[/C][C]104.947792460833[/C][C]5.27764249711119[/C][/ROW]
[ROW][C]0.28[/C][C]106.080057937807[/C][C]5.76197123969681[/C][/ROW]
[ROW][C]0.29[/C][C]107.302354541761[/C][C]6.33941325883171[/C][/ROW]
[ROW][C]0.3[/C][C]108.631242589232[/C][C]7.00724840164583[/C][/ROW]
[ROW][C]0.31[/C][C]110.082295941237[/C][C]7.75675722541269[/C][/ROW]
[ROW][C]0.32[/C][C]111.669004785800[/C][C]8.57280239666004[/C][/ROW]
[ROW][C]0.33[/C][C]113.401769569945[/C][C]9.43523895711188[/C][/ROW]
[ROW][C]0.34[/C][C]115.287105207656[/C][C]10.3204567522712[/C][/ROW]
[ROW][C]0.35[/C][C]117.327158110581[/C][C]11.2032184561872[/C][/ROW]
[ROW][C]0.36[/C][C]119.519610391132[/C][C]12.0582313677581[/C][/ROW]
[ROW][C]0.37[/C][C]121.858006520362[/C][C]12.8638284857433[/C][/ROW]
[ROW][C]0.38[/C][C]124.332489116310[/C][C]13.6026894223764[/C][/ROW]
[ROW][C]0.39[/C][C]126.930875541169[/C][C]14.2650124147299[/C][/ROW]
[ROW][C]0.4[/C][C]129.639951553364[/C][C]14.848888950438[/C][/ROW]
[ROW][C]0.41[/C][C]132.446811293129[/C][C]15.3599630301085[/C][/ROW]
[ROW][C]0.42[/C][C]135.340045082175[/C][C]15.8111973080776[/C][/ROW]
[ROW][C]0.43[/C][C]138.310577974769[/C][C]16.2203268899386[/C][/ROW]
[ROW][C]0.44[/C][C]141.351998989428[/C][C]16.6051910816782[/C][/ROW]
[ROW][C]0.45[/C][C]144.460292974017[/C][C]16.9803015517385[/C][/ROW]
[ROW][C]0.46[/C][C]147.632985179172[/C][C]17.3539802404874[/C][/ROW]
[ROW][C]0.47[/C][C]150.867816052883[/C][C]17.722530289236[/C][/ROW]
[ROW][C]0.48[/C][C]154.161158965231[/C][C]18.0725827946422[/C][/ROW]
[ROW][C]0.49[/C][C]157.506455205045[/C][C]18.3794425720940[/C][/ROW]
[ROW][C]0.5[/C][C]160.892953191925[/C][C]18.6127141549900[/C][/ROW]
[ROW][C]0.51[/C][C]164.304997312219[/C][C]18.7391233828463[/C][/ROW]
[ROW][C]0.52[/C][C]167.722023242642[/C][C]18.7288677999247[/C][/ROW]
[ROW][C]0.53[/C][C]171.119298904302[/C][C]18.5589590774418[/C][/ROW]
[ROW][C]0.54[/C][C]174.469327272774[/C][C]18.2177565694766[/C][/ROW]
[ROW][C]0.55[/C][C]177.743723090446[/C][C]17.7062273178490[/C][/ROW]
[ROW][C]0.56[/C][C]180.915308128641[/C][C]17.0379790291606[/C][/ROW]
[ROW][C]0.57[/C][C]183.960147503628[/C][C]16.2383542968194[/C][/ROW]
[ROW][C]0.58[/C][C]186.85927105152[/C][C]15.3408376884255[/C][/ROW]
[ROW][C]0.59[/C][C]189.599879656746[/C][C]14.3845497192872[/C][/ROW]
[ROW][C]0.6[/C][C]192.175913940173[/C][C]13.4101912755821[/C][/ROW]
[ROW][C]0.61[/C][C]194.587949595416[/C][C]12.4556925416194[/C][/ROW]
[ROW][C]0.62[/C][C]196.842470530398[/C][C]11.5541211920239[/C][/ROW]
[ROW][C]0.63[/C][C]198.950651275988[/C][C]10.730009773085[/C][/ROW]
[ROW][C]0.64[/C][C]200.926848184575[/C][C]9.99847750622347[/C][/ROW]
[ROW][C]0.65[/C][C]202.787047452466[/C][C]9.36392979769334[/C][/ROW]
[ROW][C]0.66[/C][C]204.547536747329[/C][C]8.82197600949865[/C][/ROW]
[ROW][C]0.67[/C][C]206.224044342763[/C][C]8.36285730955138[/C][/ROW]
[ROW][C]0.68[/C][C]207.831515709067[/C][C]7.97522377873015[/C][/ROW]
[ROW][C]0.69[/C][C]209.384571293525[/C][C]7.65101483992719[/C][/ROW]
[ROW][C]0.7[/C][C]210.898523369331[/C][C]7.39111969298075[/C][/ROW]
[ROW][C]0.71[/C][C]212.390653577013[/C][C]7.2058033690272[/C][/ROW]
[ROW][C]0.72[/C][C]213.881309943455[/C][C]7.11534919410578[/C][/ROW]
[ROW][C]0.73[/C][C]215.394323261157[/C][C]7.1442574792552[/C][/ROW]
[ROW][C]0.74[/C][C]216.956311716944[/C][C]7.311789175247[/C][/ROW]
[ROW][C]0.75[/C][C]218.594660540687[/C][C]7.62105873025284[/C][/ROW]
[ROW][C]0.76[/C][C]220.334312382647[/C][C]8.05176052676331[/C][/ROW]
[ROW][C]0.77[/C][C]222.193917932633[/C][C]8.55741156350597[/C][/ROW]
[ROW][C]0.78[/C][C]224.182263476188[/C][C]9.07347079191497[/C][/ROW]
[ROW][C]0.79[/C][C]226.296077351374[/C][C]9.52729673720627[/C][/ROW]
[ROW][C]0.8[/C][C]228.520203353935[/C][C]9.85364679007769[/C][/ROW]
[ROW][C]0.81[/C][C]230.830672758005[/C][C]10.0103862639575[/C][/ROW]
[ROW][C]0.82[/C][C]233.200490757293[/C][C]9.98901563719184[/C][/ROW]
[ROW][C]0.83[/C][C]235.607206447895[/C][C]9.82129797111544[/C][/ROW]
[ROW][C]0.84[/C][C]238.040886353423[/C][C]9.57573003229967[/C][/ROW]
[ROW][C]0.85[/C][C]240.511258254662[/C][C]9.3457153322598[/C][/ROW]
[ROW][C]0.86[/C][C]243.053607615767[/C][C]9.23284582441203[/C][/ROW]
[ROW][C]0.87[/C][C]245.734150691186[/C][C]9.33390892274701[/C][/ROW]
[ROW][C]0.88[/C][C]248.656250348608[/C][C]9.74147118096637[/C][/ROW]
[ROW][C]0.89[/C][C]251.967849779578[/C][C]10.5593665653208[/C][/ROW]
[ROW][C]0.9[/C][C]255.866936253572[/C][C]11.9087343237075[/C][/ROW]
[ROW][C]0.91[/C][C]260.595802078578[/C][C]13.8877033236847[/C][/ROW]
[ROW][C]0.92[/C][C]266.408577376197[/C][C]16.4698231954797[/C][/ROW]
[ROW][C]0.93[/C][C]273.495454730751[/C][C]19.3671483581396[/C][/ROW]
[ROW][C]0.94[/C][C]281.859863973431[/C][C]21.9189648295847[/C][/ROW]
[ROW][C]0.95[/C][C]291.179067646026[/C][C]23.1115659656220[/C][/ROW]
[ROW][C]0.96[/C][C]300.727910793209[/C][C]21.8694351378891[/C][/ROW]
[ROW][C]0.97[/C][C]309.471762392136[/C][C]17.6926300178304[/C][/ROW]
[ROW][C]0.98[/C][C]316.372261044415[/C][C]11.4033570194634[/C][/ROW]
[ROW][C]0.99[/C][C]320.782317358815[/C][C]5.36272467650232[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9674&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9674&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
0.0170.1165324388584.69142707003475
0.0273.35112180647927.18730969438258
0.0377.24060225234357.64059425498418
0.0480.8996206165876.48436837467515
0.0583.84701568335624.87733909971026
0.0686.01420249022663.56998078649833
0.0787.55955320161582.76045788820841
0.0888.69352093525832.3537533406587
0.0989.58984717703472.20805497723098
0.190.36621301323382.22981700752582
0.1191.09500071281632.36164229148640
0.1291.81836277721262.55671098784982
0.1392.55890681133992.77380778710838
0.1493.32619674298142.98209694536059
0.1594.12120824239673.1638298537917
0.1694.93999269516263.31428759609988
0.1795.77674285875663.43793201374952
0.1896.6260397036363.54381923730048
0.1997.48416358313193.64178574915761
0.298.34961454962053.74079179228543
0.2199.22315711393043.84895109283122
0.22100.1077103890813.97470931495687
0.23101.0082903085134.12807920184747
0.24101.9320604272244.32125862641172
0.25102.8884293710854.56800137643667
0.26103.8890767172124.8826336434927
0.27104.9477924608335.27764249711119
0.28106.0800579378075.76197123969681
0.29107.3023545417616.33941325883171
0.3108.6312425892327.00724840164583
0.31110.0822959412377.75675722541269
0.32111.6690047858008.57280239666004
0.33113.4017695699459.43523895711188
0.34115.28710520765610.3204567522712
0.35117.32715811058111.2032184561872
0.36119.51961039113212.0582313677581
0.37121.85800652036212.8638284857433
0.38124.33248911631013.6026894223764
0.39126.93087554116914.2650124147299
0.4129.63995155336414.848888950438
0.41132.44681129312915.3599630301085
0.42135.34004508217515.8111973080776
0.43138.31057797476916.2203268899386
0.44141.35199898942816.6051910816782
0.45144.46029297401716.9803015517385
0.46147.63298517917217.3539802404874
0.47150.86781605288317.722530289236
0.48154.16115896523118.0725827946422
0.49157.50645520504518.3794425720940
0.5160.89295319192518.6127141549900
0.51164.30499731221918.7391233828463
0.52167.72202324264218.7288677999247
0.53171.11929890430218.5589590774418
0.54174.46932727277418.2177565694766
0.55177.74372309044617.7062273178490
0.56180.91530812864117.0379790291606
0.57183.96014750362816.2383542968194
0.58186.8592710515215.3408376884255
0.59189.59987965674614.3845497192872
0.6192.17591394017313.4101912755821
0.61194.58794959541612.4556925416194
0.62196.84247053039811.5541211920239
0.63198.95065127598810.730009773085
0.64200.9268481845759.99847750622347
0.65202.7870474524669.36392979769334
0.66204.5475367473298.82197600949865
0.67206.2240443427638.36285730955138
0.68207.8315157090677.97522377873015
0.69209.3845712935257.65101483992719
0.7210.8985233693317.39111969298075
0.71212.3906535770137.2058033690272
0.72213.8813099434557.11534919410578
0.73215.3943232611577.1442574792552
0.74216.9563117169447.311789175247
0.75218.5946605406877.62105873025284
0.76220.3343123826478.05176052676331
0.77222.1939179326338.55741156350597
0.78224.1822634761889.07347079191497
0.79226.2960773513749.52729673720627
0.8228.5202033539359.85364679007769
0.81230.83067275800510.0103862639575
0.82233.2004907572939.98901563719184
0.83235.6072064478959.82129797111544
0.84238.0408863534239.57573003229967
0.85240.5112582546629.3457153322598
0.86243.0536076157679.23284582441203
0.87245.7341506911869.33390892274701
0.88248.6562503486089.74147118096637
0.89251.96784977957810.5593665653208
0.9255.86693625357211.9087343237075
0.91260.59580207857813.8877033236847
0.92266.40857737619716.4698231954797
0.93273.49545473075119.3671483581396
0.94281.85986397343121.9189648295847
0.95291.17906764602623.1115659656220
0.96300.72791079320921.8694351378891
0.97309.47176239213617.6926300178304
0.98316.37226104441511.4033570194634
0.99320.7823173588155.36272467650232


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')