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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Module--
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 22 May 2014 19:28:59 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/May/22/t1400801351s94wmeh0s70sneh.htm/, Retrieved Wed, 15 May 2024 17:46:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235185, Retrieved Wed, 15 May 2024 17:46:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [] [2014-02-13 13:26:53] [db363657be53a1294332fdf107f4512c]
- RM D  [Harrell-Davis Quantiles] [] [2014-05-01 13:51:07] [db363657be53a1294332fdf107f4512c]
- RMP       [Harrell-Davis Quantiles] [] [2014-05-22 23:28:59] [a3f6f3ab25c27d7686091f6989fa462a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.978
0.973
0.96
0.978
0.985
1.035
1.015
1.05
1.022
1.042
1.058
1.056
1.098
1.097
1.139
1.182
1.189
1.191
1.168
1.168
1.177
1.184
1.2
1.251
1.288
1.313
1.363
1.377
1.342
1.334
1.348
1.327
1.349
1.361
1.393
1.38
1.421
1.432
1.457
1.453
1.428
1.383
1.408
1.458
1.474
1.491
1.476
1.446
1.451
1.472
1.449
1.415
1.39
1.394
1.418
1.426
1.437
1.406
1.387
1.404

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' @ jenkins.wessa.net

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235185&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235185&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235185&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.11.012796649009760.0252791221965595
0.111.019867342112980.0256438632101895
0.121.026882732849070.0259530355105737
0.131.033827247787840.0265872409084248
0.141.040758627003870.0278021104939318
0.151.047781027326610.0296929347846376
0.161.055013774067370.0321923462692472
0.171.062562792619230.0351141444627684
0.181.070498865901640.0381939489779894
0.191.078844637881180.0411470663978536
0.21.087570747702920.0436977523919256
0.211.096600400206840.0456248185662817
0.221.105820855279910.046782153600874
0.231.115099686404090.0471178953237137
0.241.124303259842110.0466868004535691
0.251.133314788305540.0456297531996232
0.261.142049546192140.0441754832213321
0.271.150465362922580.0426007159840932
0.281.158567246812270.0412127671395793
0.291.166405816429660.0403008538230485
0.31.174070012333160.0401035380976964
0.311.181675233589250.0407584218996489
0.321.189348525496720.0422789878922642
0.331.197212703429460.0445517271775071
0.341.205371324892920.0473631185181578
0.351.213896230902040.0504425089009837
0.361.222818999181830.0534884418323553
0.371.23212713201040.0562138208920091
0.381.241765202147170.0583634535524985
0.391.25164057408310.0597411453400429
0.41.261632781979640.0602218826915239
0.411.271605250743750.0597583934630746
0.421.281417844452410.0583855863354697
0.431.290938739226660.0562023861839963
0.441.300054333590530.0533619722028413
0.451.308676283682350.0500498784243982
0.461.316745215097410.0464614235727271
0.471.324231139334910.0427896304695224
0.481.331131017570730.0391951806354913
0.491.337464212421330.0358071223093755
0.51.343266719946510.0327126308150146
0.511.348585077500140.0299539757536404
0.521.353470720384210.0275391303387339
0.531.357975350334470.0254436505444553
0.541.362147627745690.0236335859968084
0.551.366031251848280.0220574892552141
0.561.369664285065480.0206761419037332
0.571.373079433298070.0194538368753063
0.581.376304922800040.0183661279220895
0.591.379365613618860.0173985695687273
0.61.382284046083650.0165476625069202
0.611.385081210862410.0158109936052712
0.621.387776942567490.0151867959367828
0.631.390389941005430.0146722270911125
0.641.392937506563330.0142586580998786
0.651.395435126841540.0139324208488099
0.661.397896067365660.0136763099827877
0.671.400331103189210.0134696747243733
0.681.402748488096090.0132952735247019
0.691.405154203779550.0131377218075973
0.71.40755247257070.0129844229400456
0.711.409946462093510.0128298419921186
0.721.412339064585280.0126751224145555
0.731.414733602085890.0125247538528132
0.741.417134295834790.0123858441953907
0.751.419546349822240.0122684037485808
0.761.42197554141910.0121790445335821
0.771.424427292050020.0121177870722709
0.781.426905308011610.0120761393243575
0.791.429410024797690.0120364528618918
0.81.431937231884110.0119687844133327
0.811.434477358719090.0118403285762318
0.821.437015918697010.0116187122148562
0.831.439535492017030.0112810980200778
0.841.442019353463080.0108256471496943
0.851.444456418045010.0102760714528959
0.861.446846623067930.00968506143972968
0.871.449205276769180.00913133214462456
0.881.451564451491010.00870850382182299
0.891.453969490061090.00849464859285063
0.91.456469606100850.00851933691690961

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 1.01279664900976 & 0.0252791221965595 \tabularnewline
0.11 & 1.01986734211298 & 0.0256438632101895 \tabularnewline
0.12 & 1.02688273284907 & 0.0259530355105737 \tabularnewline
0.13 & 1.03382724778784 & 0.0265872409084248 \tabularnewline
0.14 & 1.04075862700387 & 0.0278021104939318 \tabularnewline
0.15 & 1.04778102732661 & 0.0296929347846376 \tabularnewline
0.16 & 1.05501377406737 & 0.0321923462692472 \tabularnewline
0.17 & 1.06256279261923 & 0.0351141444627684 \tabularnewline
0.18 & 1.07049886590164 & 0.0381939489779894 \tabularnewline
0.19 & 1.07884463788118 & 0.0411470663978536 \tabularnewline
0.2 & 1.08757074770292 & 0.0436977523919256 \tabularnewline
0.21 & 1.09660040020684 & 0.0456248185662817 \tabularnewline
0.22 & 1.10582085527991 & 0.046782153600874 \tabularnewline
0.23 & 1.11509968640409 & 0.0471178953237137 \tabularnewline
0.24 & 1.12430325984211 & 0.0466868004535691 \tabularnewline
0.25 & 1.13331478830554 & 0.0456297531996232 \tabularnewline
0.26 & 1.14204954619214 & 0.0441754832213321 \tabularnewline
0.27 & 1.15046536292258 & 0.0426007159840932 \tabularnewline
0.28 & 1.15856724681227 & 0.0412127671395793 \tabularnewline
0.29 & 1.16640581642966 & 0.0403008538230485 \tabularnewline
0.3 & 1.17407001233316 & 0.0401035380976964 \tabularnewline
0.31 & 1.18167523358925 & 0.0407584218996489 \tabularnewline
0.32 & 1.18934852549672 & 0.0422789878922642 \tabularnewline
0.33 & 1.19721270342946 & 0.0445517271775071 \tabularnewline
0.34 & 1.20537132489292 & 0.0473631185181578 \tabularnewline
0.35 & 1.21389623090204 & 0.0504425089009837 \tabularnewline
0.36 & 1.22281899918183 & 0.0534884418323553 \tabularnewline
0.37 & 1.2321271320104 & 0.0562138208920091 \tabularnewline
0.38 & 1.24176520214717 & 0.0583634535524985 \tabularnewline
0.39 & 1.2516405740831 & 0.0597411453400429 \tabularnewline
0.4 & 1.26163278197964 & 0.0602218826915239 \tabularnewline
0.41 & 1.27160525074375 & 0.0597583934630746 \tabularnewline
0.42 & 1.28141784445241 & 0.0583855863354697 \tabularnewline
0.43 & 1.29093873922666 & 0.0562023861839963 \tabularnewline
0.44 & 1.30005433359053 & 0.0533619722028413 \tabularnewline
0.45 & 1.30867628368235 & 0.0500498784243982 \tabularnewline
0.46 & 1.31674521509741 & 0.0464614235727271 \tabularnewline
0.47 & 1.32423113933491 & 0.0427896304695224 \tabularnewline
0.48 & 1.33113101757073 & 0.0391951806354913 \tabularnewline
0.49 & 1.33746421242133 & 0.0358071223093755 \tabularnewline
0.5 & 1.34326671994651 & 0.0327126308150146 \tabularnewline
0.51 & 1.34858507750014 & 0.0299539757536404 \tabularnewline
0.52 & 1.35347072038421 & 0.0275391303387339 \tabularnewline
0.53 & 1.35797535033447 & 0.0254436505444553 \tabularnewline
0.54 & 1.36214762774569 & 0.0236335859968084 \tabularnewline
0.55 & 1.36603125184828 & 0.0220574892552141 \tabularnewline
0.56 & 1.36966428506548 & 0.0206761419037332 \tabularnewline
0.57 & 1.37307943329807 & 0.0194538368753063 \tabularnewline
0.58 & 1.37630492280004 & 0.0183661279220895 \tabularnewline
0.59 & 1.37936561361886 & 0.0173985695687273 \tabularnewline
0.6 & 1.38228404608365 & 0.0165476625069202 \tabularnewline
0.61 & 1.38508121086241 & 0.0158109936052712 \tabularnewline
0.62 & 1.38777694256749 & 0.0151867959367828 \tabularnewline
0.63 & 1.39038994100543 & 0.0146722270911125 \tabularnewline
0.64 & 1.39293750656333 & 0.0142586580998786 \tabularnewline
0.65 & 1.39543512684154 & 0.0139324208488099 \tabularnewline
0.66 & 1.39789606736566 & 0.0136763099827877 \tabularnewline
0.67 & 1.40033110318921 & 0.0134696747243733 \tabularnewline
0.68 & 1.40274848809609 & 0.0132952735247019 \tabularnewline
0.69 & 1.40515420377955 & 0.0131377218075973 \tabularnewline
0.7 & 1.4075524725707 & 0.0129844229400456 \tabularnewline
0.71 & 1.40994646209351 & 0.0128298419921186 \tabularnewline
0.72 & 1.41233906458528 & 0.0126751224145555 \tabularnewline
0.73 & 1.41473360208589 & 0.0125247538528132 \tabularnewline
0.74 & 1.41713429583479 & 0.0123858441953907 \tabularnewline
0.75 & 1.41954634982224 & 0.0122684037485808 \tabularnewline
0.76 & 1.4219755414191 & 0.0121790445335821 \tabularnewline
0.77 & 1.42442729205002 & 0.0121177870722709 \tabularnewline
0.78 & 1.42690530801161 & 0.0120761393243575 \tabularnewline
0.79 & 1.42941002479769 & 0.0120364528618918 \tabularnewline
0.8 & 1.43193723188411 & 0.0119687844133327 \tabularnewline
0.81 & 1.43447735871909 & 0.0118403285762318 \tabularnewline
0.82 & 1.43701591869701 & 0.0116187122148562 \tabularnewline
0.83 & 1.43953549201703 & 0.0112810980200778 \tabularnewline
0.84 & 1.44201935346308 & 0.0108256471496943 \tabularnewline
0.85 & 1.44445641804501 & 0.0102760714528959 \tabularnewline
0.86 & 1.44684662306793 & 0.00968506143972968 \tabularnewline
0.87 & 1.44920527676918 & 0.00913133214462456 \tabularnewline
0.88 & 1.45156445149101 & 0.00870850382182299 \tabularnewline
0.89 & 1.45396949006109 & 0.00849464859285063 \tabularnewline
0.9 & 1.45646960610085 & 0.00851933691690961 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235185&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]1.01279664900976[/C][C]0.0252791221965595[/C][/ROW]
[ROW][C]0.11[/C][C]1.01986734211298[/C][C]0.0256438632101895[/C][/ROW]
[ROW][C]0.12[/C][C]1.02688273284907[/C][C]0.0259530355105737[/C][/ROW]
[ROW][C]0.13[/C][C]1.03382724778784[/C][C]0.0265872409084248[/C][/ROW]
[ROW][C]0.14[/C][C]1.04075862700387[/C][C]0.0278021104939318[/C][/ROW]
[ROW][C]0.15[/C][C]1.04778102732661[/C][C]0.0296929347846376[/C][/ROW]
[ROW][C]0.16[/C][C]1.05501377406737[/C][C]0.0321923462692472[/C][/ROW]
[ROW][C]0.17[/C][C]1.06256279261923[/C][C]0.0351141444627684[/C][/ROW]
[ROW][C]0.18[/C][C]1.07049886590164[/C][C]0.0381939489779894[/C][/ROW]
[ROW][C]0.19[/C][C]1.07884463788118[/C][C]0.0411470663978536[/C][/ROW]
[ROW][C]0.2[/C][C]1.08757074770292[/C][C]0.0436977523919256[/C][/ROW]
[ROW][C]0.21[/C][C]1.09660040020684[/C][C]0.0456248185662817[/C][/ROW]
[ROW][C]0.22[/C][C]1.10582085527991[/C][C]0.046782153600874[/C][/ROW]
[ROW][C]0.23[/C][C]1.11509968640409[/C][C]0.0471178953237137[/C][/ROW]
[ROW][C]0.24[/C][C]1.12430325984211[/C][C]0.0466868004535691[/C][/ROW]
[ROW][C]0.25[/C][C]1.13331478830554[/C][C]0.0456297531996232[/C][/ROW]
[ROW][C]0.26[/C][C]1.14204954619214[/C][C]0.0441754832213321[/C][/ROW]
[ROW][C]0.27[/C][C]1.15046536292258[/C][C]0.0426007159840932[/C][/ROW]
[ROW][C]0.28[/C][C]1.15856724681227[/C][C]0.0412127671395793[/C][/ROW]
[ROW][C]0.29[/C][C]1.16640581642966[/C][C]0.0403008538230485[/C][/ROW]
[ROW][C]0.3[/C][C]1.17407001233316[/C][C]0.0401035380976964[/C][/ROW]
[ROW][C]0.31[/C][C]1.18167523358925[/C][C]0.0407584218996489[/C][/ROW]
[ROW][C]0.32[/C][C]1.18934852549672[/C][C]0.0422789878922642[/C][/ROW]
[ROW][C]0.33[/C][C]1.19721270342946[/C][C]0.0445517271775071[/C][/ROW]
[ROW][C]0.34[/C][C]1.20537132489292[/C][C]0.0473631185181578[/C][/ROW]
[ROW][C]0.35[/C][C]1.21389623090204[/C][C]0.0504425089009837[/C][/ROW]
[ROW][C]0.36[/C][C]1.22281899918183[/C][C]0.0534884418323553[/C][/ROW]
[ROW][C]0.37[/C][C]1.2321271320104[/C][C]0.0562138208920091[/C][/ROW]
[ROW][C]0.38[/C][C]1.24176520214717[/C][C]0.0583634535524985[/C][/ROW]
[ROW][C]0.39[/C][C]1.2516405740831[/C][C]0.0597411453400429[/C][/ROW]
[ROW][C]0.4[/C][C]1.26163278197964[/C][C]0.0602218826915239[/C][/ROW]
[ROW][C]0.41[/C][C]1.27160525074375[/C][C]0.0597583934630746[/C][/ROW]
[ROW][C]0.42[/C][C]1.28141784445241[/C][C]0.0583855863354697[/C][/ROW]
[ROW][C]0.43[/C][C]1.29093873922666[/C][C]0.0562023861839963[/C][/ROW]
[ROW][C]0.44[/C][C]1.30005433359053[/C][C]0.0533619722028413[/C][/ROW]
[ROW][C]0.45[/C][C]1.30867628368235[/C][C]0.0500498784243982[/C][/ROW]
[ROW][C]0.46[/C][C]1.31674521509741[/C][C]0.0464614235727271[/C][/ROW]
[ROW][C]0.47[/C][C]1.32423113933491[/C][C]0.0427896304695224[/C][/ROW]
[ROW][C]0.48[/C][C]1.33113101757073[/C][C]0.0391951806354913[/C][/ROW]
[ROW][C]0.49[/C][C]1.33746421242133[/C][C]0.0358071223093755[/C][/ROW]
[ROW][C]0.5[/C][C]1.34326671994651[/C][C]0.0327126308150146[/C][/ROW]
[ROW][C]0.51[/C][C]1.34858507750014[/C][C]0.0299539757536404[/C][/ROW]
[ROW][C]0.52[/C][C]1.35347072038421[/C][C]0.0275391303387339[/C][/ROW]
[ROW][C]0.53[/C][C]1.35797535033447[/C][C]0.0254436505444553[/C][/ROW]
[ROW][C]0.54[/C][C]1.36214762774569[/C][C]0.0236335859968084[/C][/ROW]
[ROW][C]0.55[/C][C]1.36603125184828[/C][C]0.0220574892552141[/C][/ROW]
[ROW][C]0.56[/C][C]1.36966428506548[/C][C]0.0206761419037332[/C][/ROW]
[ROW][C]0.57[/C][C]1.37307943329807[/C][C]0.0194538368753063[/C][/ROW]
[ROW][C]0.58[/C][C]1.37630492280004[/C][C]0.0183661279220895[/C][/ROW]
[ROW][C]0.59[/C][C]1.37936561361886[/C][C]0.0173985695687273[/C][/ROW]
[ROW][C]0.6[/C][C]1.38228404608365[/C][C]0.0165476625069202[/C][/ROW]
[ROW][C]0.61[/C][C]1.38508121086241[/C][C]0.0158109936052712[/C][/ROW]
[ROW][C]0.62[/C][C]1.38777694256749[/C][C]0.0151867959367828[/C][/ROW]
[ROW][C]0.63[/C][C]1.39038994100543[/C][C]0.0146722270911125[/C][/ROW]
[ROW][C]0.64[/C][C]1.39293750656333[/C][C]0.0142586580998786[/C][/ROW]
[ROW][C]0.65[/C][C]1.39543512684154[/C][C]0.0139324208488099[/C][/ROW]
[ROW][C]0.66[/C][C]1.39789606736566[/C][C]0.0136763099827877[/C][/ROW]
[ROW][C]0.67[/C][C]1.40033110318921[/C][C]0.0134696747243733[/C][/ROW]
[ROW][C]0.68[/C][C]1.40274848809609[/C][C]0.0132952735247019[/C][/ROW]
[ROW][C]0.69[/C][C]1.40515420377955[/C][C]0.0131377218075973[/C][/ROW]
[ROW][C]0.7[/C][C]1.4075524725707[/C][C]0.0129844229400456[/C][/ROW]
[ROW][C]0.71[/C][C]1.40994646209351[/C][C]0.0128298419921186[/C][/ROW]
[ROW][C]0.72[/C][C]1.41233906458528[/C][C]0.0126751224145555[/C][/ROW]
[ROW][C]0.73[/C][C]1.41473360208589[/C][C]0.0125247538528132[/C][/ROW]
[ROW][C]0.74[/C][C]1.41713429583479[/C][C]0.0123858441953907[/C][/ROW]
[ROW][C]0.75[/C][C]1.41954634982224[/C][C]0.0122684037485808[/C][/ROW]
[ROW][C]0.76[/C][C]1.4219755414191[/C][C]0.0121790445335821[/C][/ROW]
[ROW][C]0.77[/C][C]1.42442729205002[/C][C]0.0121177870722709[/C][/ROW]
[ROW][C]0.78[/C][C]1.42690530801161[/C][C]0.0120761393243575[/C][/ROW]
[ROW][C]0.79[/C][C]1.42941002479769[/C][C]0.0120364528618918[/C][/ROW]
[ROW][C]0.8[/C][C]1.43193723188411[/C][C]0.0119687844133327[/C][/ROW]
[ROW][C]0.81[/C][C]1.43447735871909[/C][C]0.0118403285762318[/C][/ROW]
[ROW][C]0.82[/C][C]1.43701591869701[/C][C]0.0116187122148562[/C][/ROW]
[ROW][C]0.83[/C][C]1.43953549201703[/C][C]0.0112810980200778[/C][/ROW]
[ROW][C]0.84[/C][C]1.44201935346308[/C][C]0.0108256471496943[/C][/ROW]
[ROW][C]0.85[/C][C]1.44445641804501[/C][C]0.0102760714528959[/C][/ROW]
[ROW][C]0.86[/C][C]1.44684662306793[/C][C]0.00968506143972968[/C][/ROW]
[ROW][C]0.87[/C][C]1.44920527676918[/C][C]0.00913133214462456[/C][/ROW]
[ROW][C]0.88[/C][C]1.45156445149101[/C][C]0.00870850382182299[/C][/ROW]
[ROW][C]0.89[/C][C]1.45396949006109[/C][C]0.00849464859285063[/C][/ROW]
[ROW][C]0.9[/C][C]1.45646960610085[/C][C]0.00851933691690961[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235185&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235185&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
0.11.012796649009760.0252791221965595
0.111.019867342112980.0256438632101895
0.121.026882732849070.0259530355105737
0.131.033827247787840.0265872409084248
0.141.040758627003870.0278021104939318
0.151.047781027326610.0296929347846376
0.161.055013774067370.0321923462692472
0.171.062562792619230.0351141444627684
0.181.070498865901640.0381939489779894
0.191.078844637881180.0411470663978536
0.21.087570747702920.0436977523919256
0.211.096600400206840.0456248185662817
0.221.105820855279910.046782153600874
0.231.115099686404090.0471178953237137
0.241.124303259842110.0466868004535691
0.251.133314788305540.0456297531996232
0.261.142049546192140.0441754832213321
0.271.150465362922580.0426007159840932
0.281.158567246812270.0412127671395793
0.291.166405816429660.0403008538230485
0.31.174070012333160.0401035380976964
0.311.181675233589250.0407584218996489
0.321.189348525496720.0422789878922642
0.331.197212703429460.0445517271775071
0.341.205371324892920.0473631185181578
0.351.213896230902040.0504425089009837
0.361.222818999181830.0534884418323553
0.371.23212713201040.0562138208920091
0.381.241765202147170.0583634535524985
0.391.25164057408310.0597411453400429
0.41.261632781979640.0602218826915239
0.411.271605250743750.0597583934630746
0.421.281417844452410.0583855863354697
0.431.290938739226660.0562023861839963
0.441.300054333590530.0533619722028413
0.451.308676283682350.0500498784243982
0.461.316745215097410.0464614235727271
0.471.324231139334910.0427896304695224
0.481.331131017570730.0391951806354913
0.491.337464212421330.0358071223093755
0.51.343266719946510.0327126308150146
0.511.348585077500140.0299539757536404
0.521.353470720384210.0275391303387339
0.531.357975350334470.0254436505444553
0.541.362147627745690.0236335859968084
0.551.366031251848280.0220574892552141
0.561.369664285065480.0206761419037332
0.571.373079433298070.0194538368753063
0.581.376304922800040.0183661279220895
0.591.379365613618860.0173985695687273
0.61.382284046083650.0165476625069202
0.611.385081210862410.0158109936052712
0.621.387776942567490.0151867959367828
0.631.390389941005430.0146722270911125
0.641.392937506563330.0142586580998786
0.651.395435126841540.0139324208488099
0.661.397896067365660.0136763099827877
0.671.400331103189210.0134696747243733
0.681.402748488096090.0132952735247019
0.691.405154203779550.0131377218075973
0.71.40755247257070.0129844229400456
0.711.409946462093510.0128298419921186
0.721.412339064585280.0126751224145555
0.731.414733602085890.0125247538528132
0.741.417134295834790.0123858441953907
0.751.419546349822240.0122684037485808
0.761.42197554141910.0121790445335821
0.771.424427292050020.0121177870722709
0.781.426905308011610.0120761393243575
0.791.429410024797690.0120364528618918
0.81.431937231884110.0119687844133327
0.811.434477358719090.0118403285762318
0.821.437015918697010.0116187122148562
0.831.439535492017030.0112810980200778
0.841.442019353463080.0108256471496943
0.851.444456418045010.0102760714528959
0.861.446846623067930.00968506143972968
0.871.449205276769180.00913133214462456
0.881.451564451491010.00870850382182299
0.891.453969490061090.00849464859285063
0.91.456469606100850.00851933691690961


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ; par4 = ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
R code (references can be found in the software module):
par3 <- '0.01'
par2 <- '0.9'
par1 <- '0.1'
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')