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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, 06 Oct 2013 07:29:11 -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/2013/Oct/06/t1381059089ey3ciq67bwos6lc.htm/, Retrieved Fri, 07 Aug 2026 14:25:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213398, Retrieved Fri, 07 Aug 2026 14:25:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact421

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] [] [2013-10-06 11:29:11] [267d6dd6d9f18d2f1c3bf0912f69c4a3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5,53
5,53
5,53
5,53
5,53
5,53
5,53
5,53
5,53
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,67
5,89
5,89
5,89
5,89
5,89
5,89
5,89
5,89
5,89
5,89
5,89
5,89
6,08
6,08
6,08
6,08
6,08
6,08
6,08
6,08
6,08
6,08
6,08
6,08
6,28
6,28
6,28
6,28
6,28
6,28
6,28
6,28
6,28
6,28
6,28
6,28
6,31
6,31
6,31
6,31
6,31
6,31
6,31
6,31
6,31
6,31
6,31
6,31
6,48
6,48
6,48
6,48
6,48
6,48
6,48
6,48
6,48
6,48
6,48
6,48
6,5
6,5
6,5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213398&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213398&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213398&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.530006437805053.35909082167053e-05
0.025.530060912781860.000282163629020324
0.035.530309972815150.00123883269503209
0.045.53110466804830.00377830535621501
0.055.533066860206950.00890427795008424
0.065.537032278275190.0171633955465682
0.075.543826873416640.0280370146883616
0.085.553940406683610.0397856119924536
0.095.567251875291730.0499334188667962
0.15.582958958020170.0562018803422019
0.115.599762778838810.057392043778277
0.125.616229294104620.0537451665328835
0.135.631173138207170.04673565791313
0.145.643923883448920.0384747846817
0.155.654411080572690.0311510630370506
0.165.663087090983750.0267411563049889
0.175.67075370463310.0267140507119425
0.185.678361762622010.031290288127906
0.195.686830017064970.0394808141809442
0.25.696903380083480.0499689055554072
0.215.709055249759220.0613826219475643
0.225.723434748218480.0722936791472366
0.235.739860909827060.0813394964734467
0.245.757865134263320.0874194735690745
0.255.776777620092430.0898807018610296
0.265.795844675469410.0886468057841536
0.275.814355915551250.0842282626103089
0.285.831757233673630.07760191743577
0.295.847728645474520.0700512038770491
0.35.862214549100670.0629609559173244
0.315.875404741093480.0575990137921422
0.325.887674475644420.0548942896178483
0.335.89949865257050.0551886208290228
0.345.911357985610480.0581103666020267
0.355.923654093907860.0627919930268811
0.365.936646901249730.068153494109057
0.375.95042265561220.0731556662262341
0.385.9648952401510.0769373521151588
0.395.979837962734050.0789131920143044
0.45.994938300911710.0788366850151139
0.416.009864720331780.0768306985750725
0.426.024333165952590.0733402780805859
0.436.038161407377720.0690816014464092
0.446.051302003480240.0649235139629288
0.456.063848749870480.0617530313013337
0.466.076016308907580.06029274818667
0.476.088097413653180.060933220554739
0.486.100405787442230.0635810653939358
0.496.113215151756990.0677062507862652
0.56.126705106703560.0724994015528335
0.516.14092324358830.0770583186003841
0.526.155769839774190.0805228252911531
0.536.17100739336490.0822035341578419
0.546.186292789239440.0816605640528021
0.556.201225876390460.0787608235381589
0.566.215405471375090.0736603693622952
0.576.22848284924380.066802814854799
0.586.240203814736240.058792082742218
0.596.250433174728230.0503240500480553
0.66.259159176910640.0420557709139928
0.616.266479357613090.0345571590753181
0.626.27257241971550.0282143033352261
0.636.277662670114680.0232289854640226
0.646.28198399172660.0196161206961783
0.656.285749473804120.0171976811838579
0.666.289131086278310.0156653229792899
0.676.292251654835490.014673012080074
0.686.295189314425720.0139235578988303
0.696.297992883478280.0132468076049725
0.76.300705317495340.0126298913931604
0.716.303391501221170.0122152638747111
0.726.306165937401660.0123333129455738
0.736.309215200059630.0134509819899159
0.746.312809327407580.016051475555313
0.756.317295976549410.0204456626182532
0.766.323071920120440.0266844818442349
0.776.330529340040340.0345425105755109
0.786.33998005940750.043464727290365
0.796.351568949661520.0525532772188624
0.86.365196145166460.0606351551373658
0.816.380472692912860.0664567457225341
0.826.396731846084720.0689427254661937
0.836.413106261424470.0674811934308443
0.846.42866180196830.0621215544146532
0.856.442557983909720.0536021926313408
0.866.45419234007740.0431872783202615
0.876.463288303065470.0323512659528919
0.886.469904698716960.0224239838252921
0.896.474372924441220.0143107798485509
0.96.477193554938470.00839272097464333
0.916.478935748993910.00460590734980092
0.926.480173249495340.00275177565131237
0.936.481459317326430.00284723574241221
0.946.483298738652280.00444167607115307
0.956.486046913427090.00669060238037527
0.966.489707841966730.00848906111989944
0.976.493750821388430.00843081091125651
0.986.497222253781690.00588097697149664
0.996.499312243481170.00221377521511374

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.53000643780505 & 3.35909082167053e-05 \tabularnewline
0.02 & 5.53006091278186 & 0.000282163629020324 \tabularnewline
0.03 & 5.53030997281515 & 0.00123883269503209 \tabularnewline
0.04 & 5.5311046680483 & 0.00377830535621501 \tabularnewline
0.05 & 5.53306686020695 & 0.00890427795008424 \tabularnewline
0.06 & 5.53703227827519 & 0.0171633955465682 \tabularnewline
0.07 & 5.54382687341664 & 0.0280370146883616 \tabularnewline
0.08 & 5.55394040668361 & 0.0397856119924536 \tabularnewline
0.09 & 5.56725187529173 & 0.0499334188667962 \tabularnewline
0.1 & 5.58295895802017 & 0.0562018803422019 \tabularnewline
0.11 & 5.59976277883881 & 0.057392043778277 \tabularnewline
0.12 & 5.61622929410462 & 0.0537451665328835 \tabularnewline
0.13 & 5.63117313820717 & 0.04673565791313 \tabularnewline
0.14 & 5.64392388344892 & 0.0384747846817 \tabularnewline
0.15 & 5.65441108057269 & 0.0311510630370506 \tabularnewline
0.16 & 5.66308709098375 & 0.0267411563049889 \tabularnewline
0.17 & 5.6707537046331 & 0.0267140507119425 \tabularnewline
0.18 & 5.67836176262201 & 0.031290288127906 \tabularnewline
0.19 & 5.68683001706497 & 0.0394808141809442 \tabularnewline
0.2 & 5.69690338008348 & 0.0499689055554072 \tabularnewline
0.21 & 5.70905524975922 & 0.0613826219475643 \tabularnewline
0.22 & 5.72343474821848 & 0.0722936791472366 \tabularnewline
0.23 & 5.73986090982706 & 0.0813394964734467 \tabularnewline
0.24 & 5.75786513426332 & 0.0874194735690745 \tabularnewline
0.25 & 5.77677762009243 & 0.0898807018610296 \tabularnewline
0.26 & 5.79584467546941 & 0.0886468057841536 \tabularnewline
0.27 & 5.81435591555125 & 0.0842282626103089 \tabularnewline
0.28 & 5.83175723367363 & 0.07760191743577 \tabularnewline
0.29 & 5.84772864547452 & 0.0700512038770491 \tabularnewline
0.3 & 5.86221454910067 & 0.0629609559173244 \tabularnewline
0.31 & 5.87540474109348 & 0.0575990137921422 \tabularnewline
0.32 & 5.88767447564442 & 0.0548942896178483 \tabularnewline
0.33 & 5.8994986525705 & 0.0551886208290228 \tabularnewline
0.34 & 5.91135798561048 & 0.0581103666020267 \tabularnewline
0.35 & 5.92365409390786 & 0.0627919930268811 \tabularnewline
0.36 & 5.93664690124973 & 0.068153494109057 \tabularnewline
0.37 & 5.9504226556122 & 0.0731556662262341 \tabularnewline
0.38 & 5.964895240151 & 0.0769373521151588 \tabularnewline
0.39 & 5.97983796273405 & 0.0789131920143044 \tabularnewline
0.4 & 5.99493830091171 & 0.0788366850151139 \tabularnewline
0.41 & 6.00986472033178 & 0.0768306985750725 \tabularnewline
0.42 & 6.02433316595259 & 0.0733402780805859 \tabularnewline
0.43 & 6.03816140737772 & 0.0690816014464092 \tabularnewline
0.44 & 6.05130200348024 & 0.0649235139629288 \tabularnewline
0.45 & 6.06384874987048 & 0.0617530313013337 \tabularnewline
0.46 & 6.07601630890758 & 0.06029274818667 \tabularnewline
0.47 & 6.08809741365318 & 0.060933220554739 \tabularnewline
0.48 & 6.10040578744223 & 0.0635810653939358 \tabularnewline
0.49 & 6.11321515175699 & 0.0677062507862652 \tabularnewline
0.5 & 6.12670510670356 & 0.0724994015528335 \tabularnewline
0.51 & 6.1409232435883 & 0.0770583186003841 \tabularnewline
0.52 & 6.15576983977419 & 0.0805228252911531 \tabularnewline
0.53 & 6.1710073933649 & 0.0822035341578419 \tabularnewline
0.54 & 6.18629278923944 & 0.0816605640528021 \tabularnewline
0.55 & 6.20122587639046 & 0.0787608235381589 \tabularnewline
0.56 & 6.21540547137509 & 0.0736603693622952 \tabularnewline
0.57 & 6.2284828492438 & 0.066802814854799 \tabularnewline
0.58 & 6.24020381473624 & 0.058792082742218 \tabularnewline
0.59 & 6.25043317472823 & 0.0503240500480553 \tabularnewline
0.6 & 6.25915917691064 & 0.0420557709139928 \tabularnewline
0.61 & 6.26647935761309 & 0.0345571590753181 \tabularnewline
0.62 & 6.2725724197155 & 0.0282143033352261 \tabularnewline
0.63 & 6.27766267011468 & 0.0232289854640226 \tabularnewline
0.64 & 6.2819839917266 & 0.0196161206961783 \tabularnewline
0.65 & 6.28574947380412 & 0.0171976811838579 \tabularnewline
0.66 & 6.28913108627831 & 0.0156653229792899 \tabularnewline
0.67 & 6.29225165483549 & 0.014673012080074 \tabularnewline
0.68 & 6.29518931442572 & 0.0139235578988303 \tabularnewline
0.69 & 6.29799288347828 & 0.0132468076049725 \tabularnewline
0.7 & 6.30070531749534 & 0.0126298913931604 \tabularnewline
0.71 & 6.30339150122117 & 0.0122152638747111 \tabularnewline
0.72 & 6.30616593740166 & 0.0123333129455738 \tabularnewline
0.73 & 6.30921520005963 & 0.0134509819899159 \tabularnewline
0.74 & 6.31280932740758 & 0.016051475555313 \tabularnewline
0.75 & 6.31729597654941 & 0.0204456626182532 \tabularnewline
0.76 & 6.32307192012044 & 0.0266844818442349 \tabularnewline
0.77 & 6.33052934004034 & 0.0345425105755109 \tabularnewline
0.78 & 6.3399800594075 & 0.043464727290365 \tabularnewline
0.79 & 6.35156894966152 & 0.0525532772188624 \tabularnewline
0.8 & 6.36519614516646 & 0.0606351551373658 \tabularnewline
0.81 & 6.38047269291286 & 0.0664567457225341 \tabularnewline
0.82 & 6.39673184608472 & 0.0689427254661937 \tabularnewline
0.83 & 6.41310626142447 & 0.0674811934308443 \tabularnewline
0.84 & 6.4286618019683 & 0.0621215544146532 \tabularnewline
0.85 & 6.44255798390972 & 0.0536021926313408 \tabularnewline
0.86 & 6.4541923400774 & 0.0431872783202615 \tabularnewline
0.87 & 6.46328830306547 & 0.0323512659528919 \tabularnewline
0.88 & 6.46990469871696 & 0.0224239838252921 \tabularnewline
0.89 & 6.47437292444122 & 0.0143107798485509 \tabularnewline
0.9 & 6.47719355493847 & 0.00839272097464333 \tabularnewline
0.91 & 6.47893574899391 & 0.00460590734980092 \tabularnewline
0.92 & 6.48017324949534 & 0.00275177565131237 \tabularnewline
0.93 & 6.48145931732643 & 0.00284723574241221 \tabularnewline
0.94 & 6.48329873865228 & 0.00444167607115307 \tabularnewline
0.95 & 6.48604691342709 & 0.00669060238037527 \tabularnewline
0.96 & 6.48970784196673 & 0.00848906111989944 \tabularnewline
0.97 & 6.49375082138843 & 0.00843081091125651 \tabularnewline
0.98 & 6.49722225378169 & 0.00588097697149664 \tabularnewline
0.99 & 6.49931224348117 & 0.00221377521511374 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213398&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]5.53000643780505[/C][C]3.35909082167053e-05[/C][/ROW]
[ROW][C]0.02[/C][C]5.53006091278186[/C][C]0.000282163629020324[/C][/ROW]
[ROW][C]0.03[/C][C]5.53030997281515[/C][C]0.00123883269503209[/C][/ROW]
[ROW][C]0.04[/C][C]5.5311046680483[/C][C]0.00377830535621501[/C][/ROW]
[ROW][C]0.05[/C][C]5.53306686020695[/C][C]0.00890427795008424[/C][/ROW]
[ROW][C]0.06[/C][C]5.53703227827519[/C][C]0.0171633955465682[/C][/ROW]
[ROW][C]0.07[/C][C]5.54382687341664[/C][C]0.0280370146883616[/C][/ROW]
[ROW][C]0.08[/C][C]5.55394040668361[/C][C]0.0397856119924536[/C][/ROW]
[ROW][C]0.09[/C][C]5.56725187529173[/C][C]0.0499334188667962[/C][/ROW]
[ROW][C]0.1[/C][C]5.58295895802017[/C][C]0.0562018803422019[/C][/ROW]
[ROW][C]0.11[/C][C]5.59976277883881[/C][C]0.057392043778277[/C][/ROW]
[ROW][C]0.12[/C][C]5.61622929410462[/C][C]0.0537451665328835[/C][/ROW]
[ROW][C]0.13[/C][C]5.63117313820717[/C][C]0.04673565791313[/C][/ROW]
[ROW][C]0.14[/C][C]5.64392388344892[/C][C]0.0384747846817[/C][/ROW]
[ROW][C]0.15[/C][C]5.65441108057269[/C][C]0.0311510630370506[/C][/ROW]
[ROW][C]0.16[/C][C]5.66308709098375[/C][C]0.0267411563049889[/C][/ROW]
[ROW][C]0.17[/C][C]5.6707537046331[/C][C]0.0267140507119425[/C][/ROW]
[ROW][C]0.18[/C][C]5.67836176262201[/C][C]0.031290288127906[/C][/ROW]
[ROW][C]0.19[/C][C]5.68683001706497[/C][C]0.0394808141809442[/C][/ROW]
[ROW][C]0.2[/C][C]5.69690338008348[/C][C]0.0499689055554072[/C][/ROW]
[ROW][C]0.21[/C][C]5.70905524975922[/C][C]0.0613826219475643[/C][/ROW]
[ROW][C]0.22[/C][C]5.72343474821848[/C][C]0.0722936791472366[/C][/ROW]
[ROW][C]0.23[/C][C]5.73986090982706[/C][C]0.0813394964734467[/C][/ROW]
[ROW][C]0.24[/C][C]5.75786513426332[/C][C]0.0874194735690745[/C][/ROW]
[ROW][C]0.25[/C][C]5.77677762009243[/C][C]0.0898807018610296[/C][/ROW]
[ROW][C]0.26[/C][C]5.79584467546941[/C][C]0.0886468057841536[/C][/ROW]
[ROW][C]0.27[/C][C]5.81435591555125[/C][C]0.0842282626103089[/C][/ROW]
[ROW][C]0.28[/C][C]5.83175723367363[/C][C]0.07760191743577[/C][/ROW]
[ROW][C]0.29[/C][C]5.84772864547452[/C][C]0.0700512038770491[/C][/ROW]
[ROW][C]0.3[/C][C]5.86221454910067[/C][C]0.0629609559173244[/C][/ROW]
[ROW][C]0.31[/C][C]5.87540474109348[/C][C]0.0575990137921422[/C][/ROW]
[ROW][C]0.32[/C][C]5.88767447564442[/C][C]0.0548942896178483[/C][/ROW]
[ROW][C]0.33[/C][C]5.8994986525705[/C][C]0.0551886208290228[/C][/ROW]
[ROW][C]0.34[/C][C]5.91135798561048[/C][C]0.0581103666020267[/C][/ROW]
[ROW][C]0.35[/C][C]5.92365409390786[/C][C]0.0627919930268811[/C][/ROW]
[ROW][C]0.36[/C][C]5.93664690124973[/C][C]0.068153494109057[/C][/ROW]
[ROW][C]0.37[/C][C]5.9504226556122[/C][C]0.0731556662262341[/C][/ROW]
[ROW][C]0.38[/C][C]5.964895240151[/C][C]0.0769373521151588[/C][/ROW]
[ROW][C]0.39[/C][C]5.97983796273405[/C][C]0.0789131920143044[/C][/ROW]
[ROW][C]0.4[/C][C]5.99493830091171[/C][C]0.0788366850151139[/C][/ROW]
[ROW][C]0.41[/C][C]6.00986472033178[/C][C]0.0768306985750725[/C][/ROW]
[ROW][C]0.42[/C][C]6.02433316595259[/C][C]0.0733402780805859[/C][/ROW]
[ROW][C]0.43[/C][C]6.03816140737772[/C][C]0.0690816014464092[/C][/ROW]
[ROW][C]0.44[/C][C]6.05130200348024[/C][C]0.0649235139629288[/C][/ROW]
[ROW][C]0.45[/C][C]6.06384874987048[/C][C]0.0617530313013337[/C][/ROW]
[ROW][C]0.46[/C][C]6.07601630890758[/C][C]0.06029274818667[/C][/ROW]
[ROW][C]0.47[/C][C]6.08809741365318[/C][C]0.060933220554739[/C][/ROW]
[ROW][C]0.48[/C][C]6.10040578744223[/C][C]0.0635810653939358[/C][/ROW]
[ROW][C]0.49[/C][C]6.11321515175699[/C][C]0.0677062507862652[/C][/ROW]
[ROW][C]0.5[/C][C]6.12670510670356[/C][C]0.0724994015528335[/C][/ROW]
[ROW][C]0.51[/C][C]6.1409232435883[/C][C]0.0770583186003841[/C][/ROW]
[ROW][C]0.52[/C][C]6.15576983977419[/C][C]0.0805228252911531[/C][/ROW]
[ROW][C]0.53[/C][C]6.1710073933649[/C][C]0.0822035341578419[/C][/ROW]
[ROW][C]0.54[/C][C]6.18629278923944[/C][C]0.0816605640528021[/C][/ROW]
[ROW][C]0.55[/C][C]6.20122587639046[/C][C]0.0787608235381589[/C][/ROW]
[ROW][C]0.56[/C][C]6.21540547137509[/C][C]0.0736603693622952[/C][/ROW]
[ROW][C]0.57[/C][C]6.2284828492438[/C][C]0.066802814854799[/C][/ROW]
[ROW][C]0.58[/C][C]6.24020381473624[/C][C]0.058792082742218[/C][/ROW]
[ROW][C]0.59[/C][C]6.25043317472823[/C][C]0.0503240500480553[/C][/ROW]
[ROW][C]0.6[/C][C]6.25915917691064[/C][C]0.0420557709139928[/C][/ROW]
[ROW][C]0.61[/C][C]6.26647935761309[/C][C]0.0345571590753181[/C][/ROW]
[ROW][C]0.62[/C][C]6.2725724197155[/C][C]0.0282143033352261[/C][/ROW]
[ROW][C]0.63[/C][C]6.27766267011468[/C][C]0.0232289854640226[/C][/ROW]
[ROW][C]0.64[/C][C]6.2819839917266[/C][C]0.0196161206961783[/C][/ROW]
[ROW][C]0.65[/C][C]6.28574947380412[/C][C]0.0171976811838579[/C][/ROW]
[ROW][C]0.66[/C][C]6.28913108627831[/C][C]0.0156653229792899[/C][/ROW]
[ROW][C]0.67[/C][C]6.29225165483549[/C][C]0.014673012080074[/C][/ROW]
[ROW][C]0.68[/C][C]6.29518931442572[/C][C]0.0139235578988303[/C][/ROW]
[ROW][C]0.69[/C][C]6.29799288347828[/C][C]0.0132468076049725[/C][/ROW]
[ROW][C]0.7[/C][C]6.30070531749534[/C][C]0.0126298913931604[/C][/ROW]
[ROW][C]0.71[/C][C]6.30339150122117[/C][C]0.0122152638747111[/C][/ROW]
[ROW][C]0.72[/C][C]6.30616593740166[/C][C]0.0123333129455738[/C][/ROW]
[ROW][C]0.73[/C][C]6.30921520005963[/C][C]0.0134509819899159[/C][/ROW]
[ROW][C]0.74[/C][C]6.31280932740758[/C][C]0.016051475555313[/C][/ROW]
[ROW][C]0.75[/C][C]6.31729597654941[/C][C]0.0204456626182532[/C][/ROW]
[ROW][C]0.76[/C][C]6.32307192012044[/C][C]0.0266844818442349[/C][/ROW]
[ROW][C]0.77[/C][C]6.33052934004034[/C][C]0.0345425105755109[/C][/ROW]
[ROW][C]0.78[/C][C]6.3399800594075[/C][C]0.043464727290365[/C][/ROW]
[ROW][C]0.79[/C][C]6.35156894966152[/C][C]0.0525532772188624[/C][/ROW]
[ROW][C]0.8[/C][C]6.36519614516646[/C][C]0.0606351551373658[/C][/ROW]
[ROW][C]0.81[/C][C]6.38047269291286[/C][C]0.0664567457225341[/C][/ROW]
[ROW][C]0.82[/C][C]6.39673184608472[/C][C]0.0689427254661937[/C][/ROW]
[ROW][C]0.83[/C][C]6.41310626142447[/C][C]0.0674811934308443[/C][/ROW]
[ROW][C]0.84[/C][C]6.4286618019683[/C][C]0.0621215544146532[/C][/ROW]
[ROW][C]0.85[/C][C]6.44255798390972[/C][C]0.0536021926313408[/C][/ROW]
[ROW][C]0.86[/C][C]6.4541923400774[/C][C]0.0431872783202615[/C][/ROW]
[ROW][C]0.87[/C][C]6.46328830306547[/C][C]0.0323512659528919[/C][/ROW]
[ROW][C]0.88[/C][C]6.46990469871696[/C][C]0.0224239838252921[/C][/ROW]
[ROW][C]0.89[/C][C]6.47437292444122[/C][C]0.0143107798485509[/C][/ROW]
[ROW][C]0.9[/C][C]6.47719355493847[/C][C]0.00839272097464333[/C][/ROW]
[ROW][C]0.91[/C][C]6.47893574899391[/C][C]0.00460590734980092[/C][/ROW]
[ROW][C]0.92[/C][C]6.48017324949534[/C][C]0.00275177565131237[/C][/ROW]
[ROW][C]0.93[/C][C]6.48145931732643[/C][C]0.00284723574241221[/C][/ROW]
[ROW][C]0.94[/C][C]6.48329873865228[/C][C]0.00444167607115307[/C][/ROW]
[ROW][C]0.95[/C][C]6.48604691342709[/C][C]0.00669060238037527[/C][/ROW]
[ROW][C]0.96[/C][C]6.48970784196673[/C][C]0.00848906111989944[/C][/ROW]
[ROW][C]0.97[/C][C]6.49375082138843[/C][C]0.00843081091125651[/C][/ROW]
[ROW][C]0.98[/C][C]6.49722225378169[/C][C]0.00588097697149664[/C][/ROW]
[ROW][C]0.99[/C][C]6.49931224348117[/C][C]0.00221377521511374[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213398&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213398&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
0.015.530006437805053.35909082167053e-05
0.025.530060912781860.000282163629020324
0.035.530309972815150.00123883269503209
0.045.53110466804830.00377830535621501
0.055.533066860206950.00890427795008424
0.065.537032278275190.0171633955465682
0.075.543826873416640.0280370146883616
0.085.553940406683610.0397856119924536
0.095.567251875291730.0499334188667962
0.15.582958958020170.0562018803422019
0.115.599762778838810.057392043778277
0.125.616229294104620.0537451665328835
0.135.631173138207170.04673565791313
0.145.643923883448920.0384747846817
0.155.654411080572690.0311510630370506
0.165.663087090983750.0267411563049889
0.175.67075370463310.0267140507119425
0.185.678361762622010.031290288127906
0.195.686830017064970.0394808141809442
0.25.696903380083480.0499689055554072
0.215.709055249759220.0613826219475643
0.225.723434748218480.0722936791472366
0.235.739860909827060.0813394964734467
0.245.757865134263320.0874194735690745
0.255.776777620092430.0898807018610296
0.265.795844675469410.0886468057841536
0.275.814355915551250.0842282626103089
0.285.831757233673630.07760191743577
0.295.847728645474520.0700512038770491
0.35.862214549100670.0629609559173244
0.315.875404741093480.0575990137921422
0.325.887674475644420.0548942896178483
0.335.89949865257050.0551886208290228
0.345.911357985610480.0581103666020267
0.355.923654093907860.0627919930268811
0.365.936646901249730.068153494109057
0.375.95042265561220.0731556662262341
0.385.9648952401510.0769373521151588
0.395.979837962734050.0789131920143044
0.45.994938300911710.0788366850151139
0.416.009864720331780.0768306985750725
0.426.024333165952590.0733402780805859
0.436.038161407377720.0690816014464092
0.446.051302003480240.0649235139629288
0.456.063848749870480.0617530313013337
0.466.076016308907580.06029274818667
0.476.088097413653180.060933220554739
0.486.100405787442230.0635810653939358
0.496.113215151756990.0677062507862652
0.56.126705106703560.0724994015528335
0.516.14092324358830.0770583186003841
0.526.155769839774190.0805228252911531
0.536.17100739336490.0822035341578419
0.546.186292789239440.0816605640528021
0.556.201225876390460.0787608235381589
0.566.215405471375090.0736603693622952
0.576.22848284924380.066802814854799
0.586.240203814736240.058792082742218
0.596.250433174728230.0503240500480553
0.66.259159176910640.0420557709139928
0.616.266479357613090.0345571590753181
0.626.27257241971550.0282143033352261
0.636.277662670114680.0232289854640226
0.646.28198399172660.0196161206961783
0.656.285749473804120.0171976811838579
0.666.289131086278310.0156653229792899
0.676.292251654835490.014673012080074
0.686.295189314425720.0139235578988303
0.696.297992883478280.0132468076049725
0.76.300705317495340.0126298913931604
0.716.303391501221170.0122152638747111
0.726.306165937401660.0123333129455738
0.736.309215200059630.0134509819899159
0.746.312809327407580.016051475555313
0.756.317295976549410.0204456626182532
0.766.323071920120440.0266844818442349
0.776.330529340040340.0345425105755109
0.786.33998005940750.043464727290365
0.796.351568949661520.0525532772188624
0.86.365196145166460.0606351551373658
0.816.380472692912860.0664567457225341
0.826.396731846084720.0689427254661937
0.836.413106261424470.0674811934308443
0.846.42866180196830.0621215544146532
0.856.442557983909720.0536021926313408
0.866.45419234007740.0431872783202615
0.876.463288303065470.0323512659528919
0.886.469904698716960.0224239838252921
0.896.474372924441220.0143107798485509
0.96.477193554938470.00839272097464333
0.916.478935748993910.00460590734980092
0.926.480173249495340.00275177565131237
0.936.481459317326430.00284723574241221
0.946.483298738652280.00444167607115307
0.956.486046913427090.00669060238037527
0.966.489707841966730.00848906111989944
0.976.493750821388430.00843081091125651
0.986.497222253781690.00588097697149664
0.996.499312243481170.00221377521511374


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')