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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 08:13:27 -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/t1224512046puzee9mox4wvwvc.htm/, Retrieved Sun, 19 May 2024 15:25:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17332, Retrieved Sun, 19 May 2024 15:25:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159

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 vrouwen] [2008-10-13 15:46:25] [e43247bc0ab243a5af99ac7f55ba0b41]
- RMPD      [Harrell-Davis Quantiles] [harrel davis reeks 2] [2008-10-20 14:13:27] [f24298b2e4c2a19d76cf4460ec5d2246] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.0
9.1
8.7
8.2
7.9
7.9
9.1
9.4
9.5
9.1
9.0
9.3
9.9
9.8
9.4
8.3
8.0
8.5
10.4
11.1
10.9
9.9
9.2
9.2
9.5
9.6
9.5
9.1
8.9
9.0
10.1
10.3
10.2
9.6
9.2
9.3
9.4
9.4
9.2
9.0
9.0
9.0
9.8
10.0
9.9
9.3
9.0
9.0
9.1
9.1
9.1
9.2
8.8
8.3
8.4
8.1
7.8
7.9
7.9
8.0
7.9
7.5
7.2
6.9
6.6
6.7
7.3
7.5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17332&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]2 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=17332&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17332&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.645717096162270.132802311233899
0.026.730515984295960.193893134865135
0.036.841137692714880.248279553249456
0.046.963716883727440.279287094349852
0.057.087616596212740.288868677575746
0.067.206096637136650.285880926928434
0.077.31583214990340.277831811931851
0.087.415801450143850.267828708109354
0.097.50606062371520.255496818085675
0.17.586893045879920.239425268484269
0.117.658500708175290.219140005449951
0.127.721100096189760.195802398324312
0.137.775168967772450.171949504923162
0.147.82163401307090.150802081099372
0.157.861900114231770.135433484707721
0.167.897725254750920.127990089903283
0.177.931005601698350.128980797073618
0.187.963549257614290.137313205411228
0.197.996898791062130.151013522887427
0.28.032231002891910.168105995070367
0.218.070332936070540.186974655312934
0.228.111634167267890.206373312501276
0.238.156268502664460.225430178149133
0.248.204140739225360.243476448832979
0.258.254982051335240.259948883226884
0.268.308387026818090.274307799469560
0.278.363833682760370.285956684166134
0.288.420693381380530.294236070901114
0.298.478239864626620.298507868753476
0.38.535665824845040.298226288079610
0.318.592112286659430.293064795965155
0.328.646711706589770.282972977493898
0.338.698641323061870.268272166531910
0.348.747179975473360.249619599522423
0.358.791760048903470.227962121969856
0.368.832006596514330.204456398562651
0.378.867757780309960.180324712204986
0.388.899063946296750.156757703375139
0.398.92616615306410.134795284525043
0.48.949458082001030.115246889559854
0.418.9694374333750.0986556527512509
0.428.986653872404160.0852696777991427
0.439.001660313082450.0750538123313555
0.449.014973013260150.067700151286525
0.459.027043947828340.0627333219552738
0.469.038246641529620.0595730368258941
0.479.048874487271360.0576784412292406
0.489.059148890826170.0566356823477853
0.499.069233594888620.0561564629625461
0.59.079251327471140.056109417885238
0.519.08929942429170.0564577656351244
0.529.099462094336190.0572137255416366
0.539.10981824954920.0584128487679185
0.549.120445001316120.0600428815208795
0.559.13141778698330.0620965598957675
0.569.142808487965120.064516666553092
0.579.15468283511790.0672186657376429
0.589.167097994585950.0701453161112332
0.599.180100697898340.0732398516483466
0.69.193725844483260.0764338152734592
0.619.207995322594960.0796662371734341
0.629.222916914393170.0828623871418848
0.639.238483498680620.0859327464862396
0.649.254673175252360.0887855666852493
0.659.271451212991630.0913030322046998
0.669.288774715627220.0934432136430314
0.679.306600544810530.0951756548394743
0.689.324896392536260.0965476641651117
0.699.343654095435840.0977240137229231
0.79.36290350901720.098910175325468
0.719.382724663651260.100414715832109
0.729.403255598734830.102565868247694
0.739.424693254312420.105696322286485
0.749.447285117687960.110059362045422
0.759.471310051605740.115785784116446
0.769.497048019552960.122819916364024
0.779.524740442550640.130860840482246
0.789.554545712590220.139382355146178
0.799.586497656234760.147640807713774
0.89.620477683358980.154753137069642
0.819.656212651741420.159875530033676
0.829.693308581962840.162352228093929
0.839.731324113813130.161932086187616
0.849.769877088251930.158919478755201
0.859.808764987833160.154253497070450
0.869.848069673033360.149407095912752
0.879.888215258936280.146076459575128
0.889.92996158343060.145697599299106
0.899.974348138635540.148897191614564
0.910.02265052837280.155319699930671
0.9110.07645439001370.164182531997073
0.9210.13794684165660.175414642998005
0.9310.21040358534600.191040675194298
0.9410.29855007895580.215586479389659
0.9510.40804825109030.252762810751604
0.9610.54310141218750.296989723789257
0.9710.70160577334480.32641927592713
0.9810.86890311547980.311665610395618
0.9911.01438450008260.250490841556255

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.64571709616227 & 0.132802311233899 \tabularnewline
0.02 & 6.73051598429596 & 0.193893134865135 \tabularnewline
0.03 & 6.84113769271488 & 0.248279553249456 \tabularnewline
0.04 & 6.96371688372744 & 0.279287094349852 \tabularnewline
0.05 & 7.08761659621274 & 0.288868677575746 \tabularnewline
0.06 & 7.20609663713665 & 0.285880926928434 \tabularnewline
0.07 & 7.3158321499034 & 0.277831811931851 \tabularnewline
0.08 & 7.41580145014385 & 0.267828708109354 \tabularnewline
0.09 & 7.5060606237152 & 0.255496818085675 \tabularnewline
0.1 & 7.58689304587992 & 0.239425268484269 \tabularnewline
0.11 & 7.65850070817529 & 0.219140005449951 \tabularnewline
0.12 & 7.72110009618976 & 0.195802398324312 \tabularnewline
0.13 & 7.77516896777245 & 0.171949504923162 \tabularnewline
0.14 & 7.8216340130709 & 0.150802081099372 \tabularnewline
0.15 & 7.86190011423177 & 0.135433484707721 \tabularnewline
0.16 & 7.89772525475092 & 0.127990089903283 \tabularnewline
0.17 & 7.93100560169835 & 0.128980797073618 \tabularnewline
0.18 & 7.96354925761429 & 0.137313205411228 \tabularnewline
0.19 & 7.99689879106213 & 0.151013522887427 \tabularnewline
0.2 & 8.03223100289191 & 0.168105995070367 \tabularnewline
0.21 & 8.07033293607054 & 0.186974655312934 \tabularnewline
0.22 & 8.11163416726789 & 0.206373312501276 \tabularnewline
0.23 & 8.15626850266446 & 0.225430178149133 \tabularnewline
0.24 & 8.20414073922536 & 0.243476448832979 \tabularnewline
0.25 & 8.25498205133524 & 0.259948883226884 \tabularnewline
0.26 & 8.30838702681809 & 0.274307799469560 \tabularnewline
0.27 & 8.36383368276037 & 0.285956684166134 \tabularnewline
0.28 & 8.42069338138053 & 0.294236070901114 \tabularnewline
0.29 & 8.47823986462662 & 0.298507868753476 \tabularnewline
0.3 & 8.53566582484504 & 0.298226288079610 \tabularnewline
0.31 & 8.59211228665943 & 0.293064795965155 \tabularnewline
0.32 & 8.64671170658977 & 0.282972977493898 \tabularnewline
0.33 & 8.69864132306187 & 0.268272166531910 \tabularnewline
0.34 & 8.74717997547336 & 0.249619599522423 \tabularnewline
0.35 & 8.79176004890347 & 0.227962121969856 \tabularnewline
0.36 & 8.83200659651433 & 0.204456398562651 \tabularnewline
0.37 & 8.86775778030996 & 0.180324712204986 \tabularnewline
0.38 & 8.89906394629675 & 0.156757703375139 \tabularnewline
0.39 & 8.9261661530641 & 0.134795284525043 \tabularnewline
0.4 & 8.94945808200103 & 0.115246889559854 \tabularnewline
0.41 & 8.969437433375 & 0.0986556527512509 \tabularnewline
0.42 & 8.98665387240416 & 0.0852696777991427 \tabularnewline
0.43 & 9.00166031308245 & 0.0750538123313555 \tabularnewline
0.44 & 9.01497301326015 & 0.067700151286525 \tabularnewline
0.45 & 9.02704394782834 & 0.0627333219552738 \tabularnewline
0.46 & 9.03824664152962 & 0.0595730368258941 \tabularnewline
0.47 & 9.04887448727136 & 0.0576784412292406 \tabularnewline
0.48 & 9.05914889082617 & 0.0566356823477853 \tabularnewline
0.49 & 9.06923359488862 & 0.0561564629625461 \tabularnewline
0.5 & 9.07925132747114 & 0.056109417885238 \tabularnewline
0.51 & 9.0892994242917 & 0.0564577656351244 \tabularnewline
0.52 & 9.09946209433619 & 0.0572137255416366 \tabularnewline
0.53 & 9.1098182495492 & 0.0584128487679185 \tabularnewline
0.54 & 9.12044500131612 & 0.0600428815208795 \tabularnewline
0.55 & 9.1314177869833 & 0.0620965598957675 \tabularnewline
0.56 & 9.14280848796512 & 0.064516666553092 \tabularnewline
0.57 & 9.1546828351179 & 0.0672186657376429 \tabularnewline
0.58 & 9.16709799458595 & 0.0701453161112332 \tabularnewline
0.59 & 9.18010069789834 & 0.0732398516483466 \tabularnewline
0.6 & 9.19372584448326 & 0.0764338152734592 \tabularnewline
0.61 & 9.20799532259496 & 0.0796662371734341 \tabularnewline
0.62 & 9.22291691439317 & 0.0828623871418848 \tabularnewline
0.63 & 9.23848349868062 & 0.0859327464862396 \tabularnewline
0.64 & 9.25467317525236 & 0.0887855666852493 \tabularnewline
0.65 & 9.27145121299163 & 0.0913030322046998 \tabularnewline
0.66 & 9.28877471562722 & 0.0934432136430314 \tabularnewline
0.67 & 9.30660054481053 & 0.0951756548394743 \tabularnewline
0.68 & 9.32489639253626 & 0.0965476641651117 \tabularnewline
0.69 & 9.34365409543584 & 0.0977240137229231 \tabularnewline
0.7 & 9.3629035090172 & 0.098910175325468 \tabularnewline
0.71 & 9.38272466365126 & 0.100414715832109 \tabularnewline
0.72 & 9.40325559873483 & 0.102565868247694 \tabularnewline
0.73 & 9.42469325431242 & 0.105696322286485 \tabularnewline
0.74 & 9.44728511768796 & 0.110059362045422 \tabularnewline
0.75 & 9.47131005160574 & 0.115785784116446 \tabularnewline
0.76 & 9.49704801955296 & 0.122819916364024 \tabularnewline
0.77 & 9.52474044255064 & 0.130860840482246 \tabularnewline
0.78 & 9.55454571259022 & 0.139382355146178 \tabularnewline
0.79 & 9.58649765623476 & 0.147640807713774 \tabularnewline
0.8 & 9.62047768335898 & 0.154753137069642 \tabularnewline
0.81 & 9.65621265174142 & 0.159875530033676 \tabularnewline
0.82 & 9.69330858196284 & 0.162352228093929 \tabularnewline
0.83 & 9.73132411381313 & 0.161932086187616 \tabularnewline
0.84 & 9.76987708825193 & 0.158919478755201 \tabularnewline
0.85 & 9.80876498783316 & 0.154253497070450 \tabularnewline
0.86 & 9.84806967303336 & 0.149407095912752 \tabularnewline
0.87 & 9.88821525893628 & 0.146076459575128 \tabularnewline
0.88 & 9.9299615834306 & 0.145697599299106 \tabularnewline
0.89 & 9.97434813863554 & 0.148897191614564 \tabularnewline
0.9 & 10.0226505283728 & 0.155319699930671 \tabularnewline
0.91 & 10.0764543900137 & 0.164182531997073 \tabularnewline
0.92 & 10.1379468416566 & 0.175414642998005 \tabularnewline
0.93 & 10.2104035853460 & 0.191040675194298 \tabularnewline
0.94 & 10.2985500789558 & 0.215586479389659 \tabularnewline
0.95 & 10.4080482510903 & 0.252762810751604 \tabularnewline
0.96 & 10.5431014121875 & 0.296989723789257 \tabularnewline
0.97 & 10.7016057733448 & 0.32641927592713 \tabularnewline
0.98 & 10.8689031154798 & 0.311665610395618 \tabularnewline
0.99 & 11.0143845000826 & 0.250490841556255 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17332&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]6.64571709616227[/C][C]0.132802311233899[/C][/ROW]
[ROW][C]0.02[/C][C]6.73051598429596[/C][C]0.193893134865135[/C][/ROW]
[ROW][C]0.03[/C][C]6.84113769271488[/C][C]0.248279553249456[/C][/ROW]
[ROW][C]0.04[/C][C]6.96371688372744[/C][C]0.279287094349852[/C][/ROW]
[ROW][C]0.05[/C][C]7.08761659621274[/C][C]0.288868677575746[/C][/ROW]
[ROW][C]0.06[/C][C]7.20609663713665[/C][C]0.285880926928434[/C][/ROW]
[ROW][C]0.07[/C][C]7.3158321499034[/C][C]0.277831811931851[/C][/ROW]
[ROW][C]0.08[/C][C]7.41580145014385[/C][C]0.267828708109354[/C][/ROW]
[ROW][C]0.09[/C][C]7.5060606237152[/C][C]0.255496818085675[/C][/ROW]
[ROW][C]0.1[/C][C]7.58689304587992[/C][C]0.239425268484269[/C][/ROW]
[ROW][C]0.11[/C][C]7.65850070817529[/C][C]0.219140005449951[/C][/ROW]
[ROW][C]0.12[/C][C]7.72110009618976[/C][C]0.195802398324312[/C][/ROW]
[ROW][C]0.13[/C][C]7.77516896777245[/C][C]0.171949504923162[/C][/ROW]
[ROW][C]0.14[/C][C]7.8216340130709[/C][C]0.150802081099372[/C][/ROW]
[ROW][C]0.15[/C][C]7.86190011423177[/C][C]0.135433484707721[/C][/ROW]
[ROW][C]0.16[/C][C]7.89772525475092[/C][C]0.127990089903283[/C][/ROW]
[ROW][C]0.17[/C][C]7.93100560169835[/C][C]0.128980797073618[/C][/ROW]
[ROW][C]0.18[/C][C]7.96354925761429[/C][C]0.137313205411228[/C][/ROW]
[ROW][C]0.19[/C][C]7.99689879106213[/C][C]0.151013522887427[/C][/ROW]
[ROW][C]0.2[/C][C]8.03223100289191[/C][C]0.168105995070367[/C][/ROW]
[ROW][C]0.21[/C][C]8.07033293607054[/C][C]0.186974655312934[/C][/ROW]
[ROW][C]0.22[/C][C]8.11163416726789[/C][C]0.206373312501276[/C][/ROW]
[ROW][C]0.23[/C][C]8.15626850266446[/C][C]0.225430178149133[/C][/ROW]
[ROW][C]0.24[/C][C]8.20414073922536[/C][C]0.243476448832979[/C][/ROW]
[ROW][C]0.25[/C][C]8.25498205133524[/C][C]0.259948883226884[/C][/ROW]
[ROW][C]0.26[/C][C]8.30838702681809[/C][C]0.274307799469560[/C][/ROW]
[ROW][C]0.27[/C][C]8.36383368276037[/C][C]0.285956684166134[/C][/ROW]
[ROW][C]0.28[/C][C]8.42069338138053[/C][C]0.294236070901114[/C][/ROW]
[ROW][C]0.29[/C][C]8.47823986462662[/C][C]0.298507868753476[/C][/ROW]
[ROW][C]0.3[/C][C]8.53566582484504[/C][C]0.298226288079610[/C][/ROW]
[ROW][C]0.31[/C][C]8.59211228665943[/C][C]0.293064795965155[/C][/ROW]
[ROW][C]0.32[/C][C]8.64671170658977[/C][C]0.282972977493898[/C][/ROW]
[ROW][C]0.33[/C][C]8.69864132306187[/C][C]0.268272166531910[/C][/ROW]
[ROW][C]0.34[/C][C]8.74717997547336[/C][C]0.249619599522423[/C][/ROW]
[ROW][C]0.35[/C][C]8.79176004890347[/C][C]0.227962121969856[/C][/ROW]
[ROW][C]0.36[/C][C]8.83200659651433[/C][C]0.204456398562651[/C][/ROW]
[ROW][C]0.37[/C][C]8.86775778030996[/C][C]0.180324712204986[/C][/ROW]
[ROW][C]0.38[/C][C]8.89906394629675[/C][C]0.156757703375139[/C][/ROW]
[ROW][C]0.39[/C][C]8.9261661530641[/C][C]0.134795284525043[/C][/ROW]
[ROW][C]0.4[/C][C]8.94945808200103[/C][C]0.115246889559854[/C][/ROW]
[ROW][C]0.41[/C][C]8.969437433375[/C][C]0.0986556527512509[/C][/ROW]
[ROW][C]0.42[/C][C]8.98665387240416[/C][C]0.0852696777991427[/C][/ROW]
[ROW][C]0.43[/C][C]9.00166031308245[/C][C]0.0750538123313555[/C][/ROW]
[ROW][C]0.44[/C][C]9.01497301326015[/C][C]0.067700151286525[/C][/ROW]
[ROW][C]0.45[/C][C]9.02704394782834[/C][C]0.0627333219552738[/C][/ROW]
[ROW][C]0.46[/C][C]9.03824664152962[/C][C]0.0595730368258941[/C][/ROW]
[ROW][C]0.47[/C][C]9.04887448727136[/C][C]0.0576784412292406[/C][/ROW]
[ROW][C]0.48[/C][C]9.05914889082617[/C][C]0.0566356823477853[/C][/ROW]
[ROW][C]0.49[/C][C]9.06923359488862[/C][C]0.0561564629625461[/C][/ROW]
[ROW][C]0.5[/C][C]9.07925132747114[/C][C]0.056109417885238[/C][/ROW]
[ROW][C]0.51[/C][C]9.0892994242917[/C][C]0.0564577656351244[/C][/ROW]
[ROW][C]0.52[/C][C]9.09946209433619[/C][C]0.0572137255416366[/C][/ROW]
[ROW][C]0.53[/C][C]9.1098182495492[/C][C]0.0584128487679185[/C][/ROW]
[ROW][C]0.54[/C][C]9.12044500131612[/C][C]0.0600428815208795[/C][/ROW]
[ROW][C]0.55[/C][C]9.1314177869833[/C][C]0.0620965598957675[/C][/ROW]
[ROW][C]0.56[/C][C]9.14280848796512[/C][C]0.064516666553092[/C][/ROW]
[ROW][C]0.57[/C][C]9.1546828351179[/C][C]0.0672186657376429[/C][/ROW]
[ROW][C]0.58[/C][C]9.16709799458595[/C][C]0.0701453161112332[/C][/ROW]
[ROW][C]0.59[/C][C]9.18010069789834[/C][C]0.0732398516483466[/C][/ROW]
[ROW][C]0.6[/C][C]9.19372584448326[/C][C]0.0764338152734592[/C][/ROW]
[ROW][C]0.61[/C][C]9.20799532259496[/C][C]0.0796662371734341[/C][/ROW]
[ROW][C]0.62[/C][C]9.22291691439317[/C][C]0.0828623871418848[/C][/ROW]
[ROW][C]0.63[/C][C]9.23848349868062[/C][C]0.0859327464862396[/C][/ROW]
[ROW][C]0.64[/C][C]9.25467317525236[/C][C]0.0887855666852493[/C][/ROW]
[ROW][C]0.65[/C][C]9.27145121299163[/C][C]0.0913030322046998[/C][/ROW]
[ROW][C]0.66[/C][C]9.28877471562722[/C][C]0.0934432136430314[/C][/ROW]
[ROW][C]0.67[/C][C]9.30660054481053[/C][C]0.0951756548394743[/C][/ROW]
[ROW][C]0.68[/C][C]9.32489639253626[/C][C]0.0965476641651117[/C][/ROW]
[ROW][C]0.69[/C][C]9.34365409543584[/C][C]0.0977240137229231[/C][/ROW]
[ROW][C]0.7[/C][C]9.3629035090172[/C][C]0.098910175325468[/C][/ROW]
[ROW][C]0.71[/C][C]9.38272466365126[/C][C]0.100414715832109[/C][/ROW]
[ROW][C]0.72[/C][C]9.40325559873483[/C][C]0.102565868247694[/C][/ROW]
[ROW][C]0.73[/C][C]9.42469325431242[/C][C]0.105696322286485[/C][/ROW]
[ROW][C]0.74[/C][C]9.44728511768796[/C][C]0.110059362045422[/C][/ROW]
[ROW][C]0.75[/C][C]9.47131005160574[/C][C]0.115785784116446[/C][/ROW]
[ROW][C]0.76[/C][C]9.49704801955296[/C][C]0.122819916364024[/C][/ROW]
[ROW][C]0.77[/C][C]9.52474044255064[/C][C]0.130860840482246[/C][/ROW]
[ROW][C]0.78[/C][C]9.55454571259022[/C][C]0.139382355146178[/C][/ROW]
[ROW][C]0.79[/C][C]9.58649765623476[/C][C]0.147640807713774[/C][/ROW]
[ROW][C]0.8[/C][C]9.62047768335898[/C][C]0.154753137069642[/C][/ROW]
[ROW][C]0.81[/C][C]9.65621265174142[/C][C]0.159875530033676[/C][/ROW]
[ROW][C]0.82[/C][C]9.69330858196284[/C][C]0.162352228093929[/C][/ROW]
[ROW][C]0.83[/C][C]9.73132411381313[/C][C]0.161932086187616[/C][/ROW]
[ROW][C]0.84[/C][C]9.76987708825193[/C][C]0.158919478755201[/C][/ROW]
[ROW][C]0.85[/C][C]9.80876498783316[/C][C]0.154253497070450[/C][/ROW]
[ROW][C]0.86[/C][C]9.84806967303336[/C][C]0.149407095912752[/C][/ROW]
[ROW][C]0.87[/C][C]9.88821525893628[/C][C]0.146076459575128[/C][/ROW]
[ROW][C]0.88[/C][C]9.9299615834306[/C][C]0.145697599299106[/C][/ROW]
[ROW][C]0.89[/C][C]9.97434813863554[/C][C]0.148897191614564[/C][/ROW]
[ROW][C]0.9[/C][C]10.0226505283728[/C][C]0.155319699930671[/C][/ROW]
[ROW][C]0.91[/C][C]10.0764543900137[/C][C]0.164182531997073[/C][/ROW]
[ROW][C]0.92[/C][C]10.1379468416566[/C][C]0.175414642998005[/C][/ROW]
[ROW][C]0.93[/C][C]10.2104035853460[/C][C]0.191040675194298[/C][/ROW]
[ROW][C]0.94[/C][C]10.2985500789558[/C][C]0.215586479389659[/C][/ROW]
[ROW][C]0.95[/C][C]10.4080482510903[/C][C]0.252762810751604[/C][/ROW]
[ROW][C]0.96[/C][C]10.5431014121875[/C][C]0.296989723789257[/C][/ROW]
[ROW][C]0.97[/C][C]10.7016057733448[/C][C]0.32641927592713[/C][/ROW]
[ROW][C]0.98[/C][C]10.8689031154798[/C][C]0.311665610395618[/C][/ROW]
[ROW][C]0.99[/C][C]11.0143845000826[/C][C]0.250490841556255[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17332&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17332&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
0.016.645717096162270.132802311233899
0.026.730515984295960.193893134865135
0.036.841137692714880.248279553249456
0.046.963716883727440.279287094349852
0.057.087616596212740.288868677575746
0.067.206096637136650.285880926928434
0.077.31583214990340.277831811931851
0.087.415801450143850.267828708109354
0.097.50606062371520.255496818085675
0.17.586893045879920.239425268484269
0.117.658500708175290.219140005449951
0.127.721100096189760.195802398324312
0.137.775168967772450.171949504923162
0.147.82163401307090.150802081099372
0.157.861900114231770.135433484707721
0.167.897725254750920.127990089903283
0.177.931005601698350.128980797073618
0.187.963549257614290.137313205411228
0.197.996898791062130.151013522887427
0.28.032231002891910.168105995070367
0.218.070332936070540.186974655312934
0.228.111634167267890.206373312501276
0.238.156268502664460.225430178149133
0.248.204140739225360.243476448832979
0.258.254982051335240.259948883226884
0.268.308387026818090.274307799469560
0.278.363833682760370.285956684166134
0.288.420693381380530.294236070901114
0.298.478239864626620.298507868753476
0.38.535665824845040.298226288079610
0.318.592112286659430.293064795965155
0.328.646711706589770.282972977493898
0.338.698641323061870.268272166531910
0.348.747179975473360.249619599522423
0.358.791760048903470.227962121969856
0.368.832006596514330.204456398562651
0.378.867757780309960.180324712204986
0.388.899063946296750.156757703375139
0.398.92616615306410.134795284525043
0.48.949458082001030.115246889559854
0.418.9694374333750.0986556527512509
0.428.986653872404160.0852696777991427
0.439.001660313082450.0750538123313555
0.449.014973013260150.067700151286525
0.459.027043947828340.0627333219552738
0.469.038246641529620.0595730368258941
0.479.048874487271360.0576784412292406
0.489.059148890826170.0566356823477853
0.499.069233594888620.0561564629625461
0.59.079251327471140.056109417885238
0.519.08929942429170.0564577656351244
0.529.099462094336190.0572137255416366
0.539.10981824954920.0584128487679185
0.549.120445001316120.0600428815208795
0.559.13141778698330.0620965598957675
0.569.142808487965120.064516666553092
0.579.15468283511790.0672186657376429
0.589.167097994585950.0701453161112332
0.599.180100697898340.0732398516483466
0.69.193725844483260.0764338152734592
0.619.207995322594960.0796662371734341
0.629.222916914393170.0828623871418848
0.639.238483498680620.0859327464862396
0.649.254673175252360.0887855666852493
0.659.271451212991630.0913030322046998
0.669.288774715627220.0934432136430314
0.679.306600544810530.0951756548394743
0.689.324896392536260.0965476641651117
0.699.343654095435840.0977240137229231
0.79.36290350901720.098910175325468
0.719.382724663651260.100414715832109
0.729.403255598734830.102565868247694
0.739.424693254312420.105696322286485
0.749.447285117687960.110059362045422
0.759.471310051605740.115785784116446
0.769.497048019552960.122819916364024
0.779.524740442550640.130860840482246
0.789.554545712590220.139382355146178
0.799.586497656234760.147640807713774
0.89.620477683358980.154753137069642
0.819.656212651741420.159875530033676
0.829.693308581962840.162352228093929
0.839.731324113813130.161932086187616
0.849.769877088251930.158919478755201
0.859.808764987833160.154253497070450
0.869.848069673033360.149407095912752
0.879.888215258936280.146076459575128
0.889.92996158343060.145697599299106
0.899.974348138635540.148897191614564
0.910.02265052837280.155319699930671
0.9110.07645439001370.164182531997073
0.9210.13794684165660.175414642998005
0.9310.21040358534600.191040675194298
0.9410.29855007895580.215586479389659
0.9510.40804825109030.252762810751604
0.9610.54310141218750.296989723789257
0.9710.70160577334480.32641927592713
0.9810.86890311547980.311665610395618
0.9911.01438450008260.250490841556255


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')