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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 11 Oct 2010 14:48:10 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/11/t1286808604wh9njk5pul85w9n.htm/, Retrieved Thu, 28 Mar 2024 08:42:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=82522, Retrieved Thu, 28 Mar 2024 08:42:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact82
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Aantal bezoekers ...] [2010-10-11 14:48:10] [232a7cda7dce092ded4732144e74d27d] [Current]
-   PD    [Harrell-Davis Quantiles] [Aantal bezoekers ...] [2010-10-11 15:10:23] [70c028a0c5291c562d971858b5833fd7]
-   PD    [Harrell-Davis Quantiles] [Aantal bezoekers ...] [2010-10-11 15:10:23] [70c028a0c5291c562d971858b5833fd7]
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Dataseries X:
 6.715 
 7.703 
 9.856 
 8.326 
 9.269 
 7.035 
 10.342 
 11.682 
 10.304 
 11.385 
 9.777 
 8.882 
 7.897 
 6.930 
 9.545 
 9.110 
 7.459 
 7.320 
 10.017 
 12.307 
 11.072 
 10.749 
 9.589 
 9.080 
 7.384 
 8.062 
 8.511 
 8.684 
 8.306 
 7.643 
 10.577 
 13.747 
 11.783 
 11.611 
 9.946 
 8.693 
 7.303 
 7.609 
 9.423 
 8.584 
 7.586 
 6.843 
 11.811 
 13.414 
 12.103 
 11.501 
 8.213 
 7.982 
 7.687 
 7.180 
 7.862 
 8.043 
 8.340 
 6.692 
 10.065 
 12.684 
 11.587 
 9.843 
 8.110 
 7.940 
 6.475 
 6.121 
 9.669 
 7.778 
 7.826 
 7.403 
 10.741 
 14.023 
 11.519 
 10.236 
 8.075 
 8.157 




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=82522&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=82522&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82522&T=0

As an alternative you can also use a 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
0.016.22822287223830.305695669755335
0.026.380670361131350.250089934693634
0.036.524983233837320.205770498248225
0.046.642409580449650.181485179479648
0.056.737034659166940.176996275513036
0.066.81836882920080.184956078264373
0.076.893432049432790.196436108688386
0.086.96554410389760.205384178322001
0.097.035426096558210.209026085972024
0.17.102529932688430.206947580892992
0.117.165999778632590.200328100863353
0.127.225212541206970.191159213982602
0.137.279985949029330.181576689515521
0.147.330563386884950.173238758950755
0.157.377477017856670.166953536660148
0.167.421375079693190.162701987356271
0.177.46287570414190.159922259258337
0.187.502479790978070.157918321486722
0.197.540546431734280.156182996440684
0.27.577313991924610.154465522397625
0.217.612942019594690.152789549961911
0.227.647552157705410.151258881975716
0.237.681255354432140.150037676744034
0.247.71416258614730.149172327301536
0.257.74638337325490.148654697069508
0.267.77801926919970.148395823052861
0.277.809158844703310.148304613309469
0.287.839878037966580.148297088398240
0.297.87024670306090.148398941148766
0.37.900339851583510.148711834264508
0.317.930250875541420.149395828755754
0.327.960103879750820.150705978024717
0.337.990062803442060.152918199644264
0.348.020335903797260.156342256687759
0.358.05117512422440.1612376274579
0.368.082870700031960.167809477422469
0.378.115741966260680.176219706140451
0.388.150125676761510.186513089029159
0.398.186363204522560.198659752441034
0.48.224787793614450.212551293887906
0.418.265712640883840.228041137422842
0.428.309420108357770.244916189427338
0.438.356151931353840.262944625095687
0.448.406100006427960.281806351608597
0.458.459397290779510.301169760561257
0.468.516108536547440.320627952678793
0.478.576220976954990.339754185708876
0.488.639635586873280.358016719935449
0.498.70616004072260.374871542472418
0.58.775504862892040.389760515277404
0.518.847284404037990.402137125077091
0.528.921024111970710.411493268562926
0.538.99617508294360.417440892711103
0.549.07213612405370.419733489515658
0.559.14828263406960.418293764110706
0.569.224000663323790.413267632107278
0.579.298723701794050.405007318274016
0.589.371969208101640.39406825983244
0.599.443371724595170.381190556102236
0.69.512709656190240.367227836791824
0.619.57992339011490.35313792856585
0.629.645123313110740.339898855911979
0.639.70858731720760.328421600225179
0.649.770748428150540.319546075142162
0.659.832174084839850.313953569299889
0.669.893539186473840.312103446560187
0.679.955595164524260.314253317323591
0.6810.01913693205980.320426942185459
0.6910.08496860824760.330498137168405
0.710.15386755759190.344083846212836
0.7110.22654487085530.360708435018945
0.7210.30359950858740.379633152663497
0.7310.3854636262370.39993848946292
0.7410.47233874378550.420425607427971
0.7510.56412669272760.439562767406107
0.7610.66036523618540.455571785761757
0.7710.7601845232420.466480538633298
0.7810.86230482333290.470384220937771
0.7910.96509566116250.465728780041218
0.811.06670958266990.451681803993165
0.8111.16529025353260.428472615276085
0.8211.25923704315870.397558737370542
0.8311.34749178002010.361678971887249
0.8411.42980402186040.324627456924348
0.8511.50693349430320.290909162708711
0.8611.58076305381250.265268847908711
0.8711.65431863966640.252114708999097
0.8811.73171594414810.254715163137642
0.8911.81806475031570.274542729887536
0.911.91934368975300.31133755577124
0.9112.04218898405930.363713558594843
0.9212.19341143090870.429222890999847
0.9312.37891813665160.50286848458161
0.9412.60174441832840.573922534972606
0.9512.85935930284440.623262677029665
0.9613.14129598134350.625642943727087
0.9713.42856413397350.562113445962965
0.9813.69462721613010.442164678404255
0.9913.90545760655530.322908571681231

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.2282228722383 & 0.305695669755335 \tabularnewline
0.02 & 6.38067036113135 & 0.250089934693634 \tabularnewline
0.03 & 6.52498323383732 & 0.205770498248225 \tabularnewline
0.04 & 6.64240958044965 & 0.181485179479648 \tabularnewline
0.05 & 6.73703465916694 & 0.176996275513036 \tabularnewline
0.06 & 6.8183688292008 & 0.184956078264373 \tabularnewline
0.07 & 6.89343204943279 & 0.196436108688386 \tabularnewline
0.08 & 6.9655441038976 & 0.205384178322001 \tabularnewline
0.09 & 7.03542609655821 & 0.209026085972024 \tabularnewline
0.1 & 7.10252993268843 & 0.206947580892992 \tabularnewline
0.11 & 7.16599977863259 & 0.200328100863353 \tabularnewline
0.12 & 7.22521254120697 & 0.191159213982602 \tabularnewline
0.13 & 7.27998594902933 & 0.181576689515521 \tabularnewline
0.14 & 7.33056338688495 & 0.173238758950755 \tabularnewline
0.15 & 7.37747701785667 & 0.166953536660148 \tabularnewline
0.16 & 7.42137507969319 & 0.162701987356271 \tabularnewline
0.17 & 7.4628757041419 & 0.159922259258337 \tabularnewline
0.18 & 7.50247979097807 & 0.157918321486722 \tabularnewline
0.19 & 7.54054643173428 & 0.156182996440684 \tabularnewline
0.2 & 7.57731399192461 & 0.154465522397625 \tabularnewline
0.21 & 7.61294201959469 & 0.152789549961911 \tabularnewline
0.22 & 7.64755215770541 & 0.151258881975716 \tabularnewline
0.23 & 7.68125535443214 & 0.150037676744034 \tabularnewline
0.24 & 7.7141625861473 & 0.149172327301536 \tabularnewline
0.25 & 7.7463833732549 & 0.148654697069508 \tabularnewline
0.26 & 7.7780192691997 & 0.148395823052861 \tabularnewline
0.27 & 7.80915884470331 & 0.148304613309469 \tabularnewline
0.28 & 7.83987803796658 & 0.148297088398240 \tabularnewline
0.29 & 7.8702467030609 & 0.148398941148766 \tabularnewline
0.3 & 7.90033985158351 & 0.148711834264508 \tabularnewline
0.31 & 7.93025087554142 & 0.149395828755754 \tabularnewline
0.32 & 7.96010387975082 & 0.150705978024717 \tabularnewline
0.33 & 7.99006280344206 & 0.152918199644264 \tabularnewline
0.34 & 8.02033590379726 & 0.156342256687759 \tabularnewline
0.35 & 8.0511751242244 & 0.1612376274579 \tabularnewline
0.36 & 8.08287070003196 & 0.167809477422469 \tabularnewline
0.37 & 8.11574196626068 & 0.176219706140451 \tabularnewline
0.38 & 8.15012567676151 & 0.186513089029159 \tabularnewline
0.39 & 8.18636320452256 & 0.198659752441034 \tabularnewline
0.4 & 8.22478779361445 & 0.212551293887906 \tabularnewline
0.41 & 8.26571264088384 & 0.228041137422842 \tabularnewline
0.42 & 8.30942010835777 & 0.244916189427338 \tabularnewline
0.43 & 8.35615193135384 & 0.262944625095687 \tabularnewline
0.44 & 8.40610000642796 & 0.281806351608597 \tabularnewline
0.45 & 8.45939729077951 & 0.301169760561257 \tabularnewline
0.46 & 8.51610853654744 & 0.320627952678793 \tabularnewline
0.47 & 8.57622097695499 & 0.339754185708876 \tabularnewline
0.48 & 8.63963558687328 & 0.358016719935449 \tabularnewline
0.49 & 8.7061600407226 & 0.374871542472418 \tabularnewline
0.5 & 8.77550486289204 & 0.389760515277404 \tabularnewline
0.51 & 8.84728440403799 & 0.402137125077091 \tabularnewline
0.52 & 8.92102411197071 & 0.411493268562926 \tabularnewline
0.53 & 8.9961750829436 & 0.417440892711103 \tabularnewline
0.54 & 9.0721361240537 & 0.419733489515658 \tabularnewline
0.55 & 9.1482826340696 & 0.418293764110706 \tabularnewline
0.56 & 9.22400066332379 & 0.413267632107278 \tabularnewline
0.57 & 9.29872370179405 & 0.405007318274016 \tabularnewline
0.58 & 9.37196920810164 & 0.39406825983244 \tabularnewline
0.59 & 9.44337172459517 & 0.381190556102236 \tabularnewline
0.6 & 9.51270965619024 & 0.367227836791824 \tabularnewline
0.61 & 9.5799233901149 & 0.35313792856585 \tabularnewline
0.62 & 9.64512331311074 & 0.339898855911979 \tabularnewline
0.63 & 9.7085873172076 & 0.328421600225179 \tabularnewline
0.64 & 9.77074842815054 & 0.319546075142162 \tabularnewline
0.65 & 9.83217408483985 & 0.313953569299889 \tabularnewline
0.66 & 9.89353918647384 & 0.312103446560187 \tabularnewline
0.67 & 9.95559516452426 & 0.314253317323591 \tabularnewline
0.68 & 10.0191369320598 & 0.320426942185459 \tabularnewline
0.69 & 10.0849686082476 & 0.330498137168405 \tabularnewline
0.7 & 10.1538675575919 & 0.344083846212836 \tabularnewline
0.71 & 10.2265448708553 & 0.360708435018945 \tabularnewline
0.72 & 10.3035995085874 & 0.379633152663497 \tabularnewline
0.73 & 10.385463626237 & 0.39993848946292 \tabularnewline
0.74 & 10.4723387437855 & 0.420425607427971 \tabularnewline
0.75 & 10.5641266927276 & 0.439562767406107 \tabularnewline
0.76 & 10.6603652361854 & 0.455571785761757 \tabularnewline
0.77 & 10.760184523242 & 0.466480538633298 \tabularnewline
0.78 & 10.8623048233329 & 0.470384220937771 \tabularnewline
0.79 & 10.9650956611625 & 0.465728780041218 \tabularnewline
0.8 & 11.0667095826699 & 0.451681803993165 \tabularnewline
0.81 & 11.1652902535326 & 0.428472615276085 \tabularnewline
0.82 & 11.2592370431587 & 0.397558737370542 \tabularnewline
0.83 & 11.3474917800201 & 0.361678971887249 \tabularnewline
0.84 & 11.4298040218604 & 0.324627456924348 \tabularnewline
0.85 & 11.5069334943032 & 0.290909162708711 \tabularnewline
0.86 & 11.5807630538125 & 0.265268847908711 \tabularnewline
0.87 & 11.6543186396664 & 0.252114708999097 \tabularnewline
0.88 & 11.7317159441481 & 0.254715163137642 \tabularnewline
0.89 & 11.8180647503157 & 0.274542729887536 \tabularnewline
0.9 & 11.9193436897530 & 0.31133755577124 \tabularnewline
0.91 & 12.0421889840593 & 0.363713558594843 \tabularnewline
0.92 & 12.1934114309087 & 0.429222890999847 \tabularnewline
0.93 & 12.3789181366516 & 0.50286848458161 \tabularnewline
0.94 & 12.6017444183284 & 0.573922534972606 \tabularnewline
0.95 & 12.8593593028444 & 0.623262677029665 \tabularnewline
0.96 & 13.1412959813435 & 0.625642943727087 \tabularnewline
0.97 & 13.4285641339735 & 0.562113445962965 \tabularnewline
0.98 & 13.6946272161301 & 0.442164678404255 \tabularnewline
0.99 & 13.9054576065553 & 0.322908571681231 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=82522&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]6.2282228722383[/C][C]0.305695669755335[/C][/ROW]
[ROW][C]0.02[/C][C]6.38067036113135[/C][C]0.250089934693634[/C][/ROW]
[ROW][C]0.03[/C][C]6.52498323383732[/C][C]0.205770498248225[/C][/ROW]
[ROW][C]0.04[/C][C]6.64240958044965[/C][C]0.181485179479648[/C][/ROW]
[ROW][C]0.05[/C][C]6.73703465916694[/C][C]0.176996275513036[/C][/ROW]
[ROW][C]0.06[/C][C]6.8183688292008[/C][C]0.184956078264373[/C][/ROW]
[ROW][C]0.07[/C][C]6.89343204943279[/C][C]0.196436108688386[/C][/ROW]
[ROW][C]0.08[/C][C]6.9655441038976[/C][C]0.205384178322001[/C][/ROW]
[ROW][C]0.09[/C][C]7.03542609655821[/C][C]0.209026085972024[/C][/ROW]
[ROW][C]0.1[/C][C]7.10252993268843[/C][C]0.206947580892992[/C][/ROW]
[ROW][C]0.11[/C][C]7.16599977863259[/C][C]0.200328100863353[/C][/ROW]
[ROW][C]0.12[/C][C]7.22521254120697[/C][C]0.191159213982602[/C][/ROW]
[ROW][C]0.13[/C][C]7.27998594902933[/C][C]0.181576689515521[/C][/ROW]
[ROW][C]0.14[/C][C]7.33056338688495[/C][C]0.173238758950755[/C][/ROW]
[ROW][C]0.15[/C][C]7.37747701785667[/C][C]0.166953536660148[/C][/ROW]
[ROW][C]0.16[/C][C]7.42137507969319[/C][C]0.162701987356271[/C][/ROW]
[ROW][C]0.17[/C][C]7.4628757041419[/C][C]0.159922259258337[/C][/ROW]
[ROW][C]0.18[/C][C]7.50247979097807[/C][C]0.157918321486722[/C][/ROW]
[ROW][C]0.19[/C][C]7.54054643173428[/C][C]0.156182996440684[/C][/ROW]
[ROW][C]0.2[/C][C]7.57731399192461[/C][C]0.154465522397625[/C][/ROW]
[ROW][C]0.21[/C][C]7.61294201959469[/C][C]0.152789549961911[/C][/ROW]
[ROW][C]0.22[/C][C]7.64755215770541[/C][C]0.151258881975716[/C][/ROW]
[ROW][C]0.23[/C][C]7.68125535443214[/C][C]0.150037676744034[/C][/ROW]
[ROW][C]0.24[/C][C]7.7141625861473[/C][C]0.149172327301536[/C][/ROW]
[ROW][C]0.25[/C][C]7.7463833732549[/C][C]0.148654697069508[/C][/ROW]
[ROW][C]0.26[/C][C]7.7780192691997[/C][C]0.148395823052861[/C][/ROW]
[ROW][C]0.27[/C][C]7.80915884470331[/C][C]0.148304613309469[/C][/ROW]
[ROW][C]0.28[/C][C]7.83987803796658[/C][C]0.148297088398240[/C][/ROW]
[ROW][C]0.29[/C][C]7.8702467030609[/C][C]0.148398941148766[/C][/ROW]
[ROW][C]0.3[/C][C]7.90033985158351[/C][C]0.148711834264508[/C][/ROW]
[ROW][C]0.31[/C][C]7.93025087554142[/C][C]0.149395828755754[/C][/ROW]
[ROW][C]0.32[/C][C]7.96010387975082[/C][C]0.150705978024717[/C][/ROW]
[ROW][C]0.33[/C][C]7.99006280344206[/C][C]0.152918199644264[/C][/ROW]
[ROW][C]0.34[/C][C]8.02033590379726[/C][C]0.156342256687759[/C][/ROW]
[ROW][C]0.35[/C][C]8.0511751242244[/C][C]0.1612376274579[/C][/ROW]
[ROW][C]0.36[/C][C]8.08287070003196[/C][C]0.167809477422469[/C][/ROW]
[ROW][C]0.37[/C][C]8.11574196626068[/C][C]0.176219706140451[/C][/ROW]
[ROW][C]0.38[/C][C]8.15012567676151[/C][C]0.186513089029159[/C][/ROW]
[ROW][C]0.39[/C][C]8.18636320452256[/C][C]0.198659752441034[/C][/ROW]
[ROW][C]0.4[/C][C]8.22478779361445[/C][C]0.212551293887906[/C][/ROW]
[ROW][C]0.41[/C][C]8.26571264088384[/C][C]0.228041137422842[/C][/ROW]
[ROW][C]0.42[/C][C]8.30942010835777[/C][C]0.244916189427338[/C][/ROW]
[ROW][C]0.43[/C][C]8.35615193135384[/C][C]0.262944625095687[/C][/ROW]
[ROW][C]0.44[/C][C]8.40610000642796[/C][C]0.281806351608597[/C][/ROW]
[ROW][C]0.45[/C][C]8.45939729077951[/C][C]0.301169760561257[/C][/ROW]
[ROW][C]0.46[/C][C]8.51610853654744[/C][C]0.320627952678793[/C][/ROW]
[ROW][C]0.47[/C][C]8.57622097695499[/C][C]0.339754185708876[/C][/ROW]
[ROW][C]0.48[/C][C]8.63963558687328[/C][C]0.358016719935449[/C][/ROW]
[ROW][C]0.49[/C][C]8.7061600407226[/C][C]0.374871542472418[/C][/ROW]
[ROW][C]0.5[/C][C]8.77550486289204[/C][C]0.389760515277404[/C][/ROW]
[ROW][C]0.51[/C][C]8.84728440403799[/C][C]0.402137125077091[/C][/ROW]
[ROW][C]0.52[/C][C]8.92102411197071[/C][C]0.411493268562926[/C][/ROW]
[ROW][C]0.53[/C][C]8.9961750829436[/C][C]0.417440892711103[/C][/ROW]
[ROW][C]0.54[/C][C]9.0721361240537[/C][C]0.419733489515658[/C][/ROW]
[ROW][C]0.55[/C][C]9.1482826340696[/C][C]0.418293764110706[/C][/ROW]
[ROW][C]0.56[/C][C]9.22400066332379[/C][C]0.413267632107278[/C][/ROW]
[ROW][C]0.57[/C][C]9.29872370179405[/C][C]0.405007318274016[/C][/ROW]
[ROW][C]0.58[/C][C]9.37196920810164[/C][C]0.39406825983244[/C][/ROW]
[ROW][C]0.59[/C][C]9.44337172459517[/C][C]0.381190556102236[/C][/ROW]
[ROW][C]0.6[/C][C]9.51270965619024[/C][C]0.367227836791824[/C][/ROW]
[ROW][C]0.61[/C][C]9.5799233901149[/C][C]0.35313792856585[/C][/ROW]
[ROW][C]0.62[/C][C]9.64512331311074[/C][C]0.339898855911979[/C][/ROW]
[ROW][C]0.63[/C][C]9.7085873172076[/C][C]0.328421600225179[/C][/ROW]
[ROW][C]0.64[/C][C]9.77074842815054[/C][C]0.319546075142162[/C][/ROW]
[ROW][C]0.65[/C][C]9.83217408483985[/C][C]0.313953569299889[/C][/ROW]
[ROW][C]0.66[/C][C]9.89353918647384[/C][C]0.312103446560187[/C][/ROW]
[ROW][C]0.67[/C][C]9.95559516452426[/C][C]0.314253317323591[/C][/ROW]
[ROW][C]0.68[/C][C]10.0191369320598[/C][C]0.320426942185459[/C][/ROW]
[ROW][C]0.69[/C][C]10.0849686082476[/C][C]0.330498137168405[/C][/ROW]
[ROW][C]0.7[/C][C]10.1538675575919[/C][C]0.344083846212836[/C][/ROW]
[ROW][C]0.71[/C][C]10.2265448708553[/C][C]0.360708435018945[/C][/ROW]
[ROW][C]0.72[/C][C]10.3035995085874[/C][C]0.379633152663497[/C][/ROW]
[ROW][C]0.73[/C][C]10.385463626237[/C][C]0.39993848946292[/C][/ROW]
[ROW][C]0.74[/C][C]10.4723387437855[/C][C]0.420425607427971[/C][/ROW]
[ROW][C]0.75[/C][C]10.5641266927276[/C][C]0.439562767406107[/C][/ROW]
[ROW][C]0.76[/C][C]10.6603652361854[/C][C]0.455571785761757[/C][/ROW]
[ROW][C]0.77[/C][C]10.760184523242[/C][C]0.466480538633298[/C][/ROW]
[ROW][C]0.78[/C][C]10.8623048233329[/C][C]0.470384220937771[/C][/ROW]
[ROW][C]0.79[/C][C]10.9650956611625[/C][C]0.465728780041218[/C][/ROW]
[ROW][C]0.8[/C][C]11.0667095826699[/C][C]0.451681803993165[/C][/ROW]
[ROW][C]0.81[/C][C]11.1652902535326[/C][C]0.428472615276085[/C][/ROW]
[ROW][C]0.82[/C][C]11.2592370431587[/C][C]0.397558737370542[/C][/ROW]
[ROW][C]0.83[/C][C]11.3474917800201[/C][C]0.361678971887249[/C][/ROW]
[ROW][C]0.84[/C][C]11.4298040218604[/C][C]0.324627456924348[/C][/ROW]
[ROW][C]0.85[/C][C]11.5069334943032[/C][C]0.290909162708711[/C][/ROW]
[ROW][C]0.86[/C][C]11.5807630538125[/C][C]0.265268847908711[/C][/ROW]
[ROW][C]0.87[/C][C]11.6543186396664[/C][C]0.252114708999097[/C][/ROW]
[ROW][C]0.88[/C][C]11.7317159441481[/C][C]0.254715163137642[/C][/ROW]
[ROW][C]0.89[/C][C]11.8180647503157[/C][C]0.274542729887536[/C][/ROW]
[ROW][C]0.9[/C][C]11.9193436897530[/C][C]0.31133755577124[/C][/ROW]
[ROW][C]0.91[/C][C]12.0421889840593[/C][C]0.363713558594843[/C][/ROW]
[ROW][C]0.92[/C][C]12.1934114309087[/C][C]0.429222890999847[/C][/ROW]
[ROW][C]0.93[/C][C]12.3789181366516[/C][C]0.50286848458161[/C][/ROW]
[ROW][C]0.94[/C][C]12.6017444183284[/C][C]0.573922534972606[/C][/ROW]
[ROW][C]0.95[/C][C]12.8593593028444[/C][C]0.623262677029665[/C][/ROW]
[ROW][C]0.96[/C][C]13.1412959813435[/C][C]0.625642943727087[/C][/ROW]
[ROW][C]0.97[/C][C]13.4285641339735[/C][C]0.562113445962965[/C][/ROW]
[ROW][C]0.98[/C][C]13.6946272161301[/C][C]0.442164678404255[/C][/ROW]
[ROW][C]0.99[/C][C]13.9054576065553[/C][C]0.322908571681231[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=82522&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=82522&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.22822287223830.305695669755335
0.026.380670361131350.250089934693634
0.036.524983233837320.205770498248225
0.046.642409580449650.181485179479648
0.056.737034659166940.176996275513036
0.066.81836882920080.184956078264373
0.076.893432049432790.196436108688386
0.086.96554410389760.205384178322001
0.097.035426096558210.209026085972024
0.17.102529932688430.206947580892992
0.117.165999778632590.200328100863353
0.127.225212541206970.191159213982602
0.137.279985949029330.181576689515521
0.147.330563386884950.173238758950755
0.157.377477017856670.166953536660148
0.167.421375079693190.162701987356271
0.177.46287570414190.159922259258337
0.187.502479790978070.157918321486722
0.197.540546431734280.156182996440684
0.27.577313991924610.154465522397625
0.217.612942019594690.152789549961911
0.227.647552157705410.151258881975716
0.237.681255354432140.150037676744034
0.247.71416258614730.149172327301536
0.257.74638337325490.148654697069508
0.267.77801926919970.148395823052861
0.277.809158844703310.148304613309469
0.287.839878037966580.148297088398240
0.297.87024670306090.148398941148766
0.37.900339851583510.148711834264508
0.317.930250875541420.149395828755754
0.327.960103879750820.150705978024717
0.337.990062803442060.152918199644264
0.348.020335903797260.156342256687759
0.358.05117512422440.1612376274579
0.368.082870700031960.167809477422469
0.378.115741966260680.176219706140451
0.388.150125676761510.186513089029159
0.398.186363204522560.198659752441034
0.48.224787793614450.212551293887906
0.418.265712640883840.228041137422842
0.428.309420108357770.244916189427338
0.438.356151931353840.262944625095687
0.448.406100006427960.281806351608597
0.458.459397290779510.301169760561257
0.468.516108536547440.320627952678793
0.478.576220976954990.339754185708876
0.488.639635586873280.358016719935449
0.498.70616004072260.374871542472418
0.58.775504862892040.389760515277404
0.518.847284404037990.402137125077091
0.528.921024111970710.411493268562926
0.538.99617508294360.417440892711103
0.549.07213612405370.419733489515658
0.559.14828263406960.418293764110706
0.569.224000663323790.413267632107278
0.579.298723701794050.405007318274016
0.589.371969208101640.39406825983244
0.599.443371724595170.381190556102236
0.69.512709656190240.367227836791824
0.619.57992339011490.35313792856585
0.629.645123313110740.339898855911979
0.639.70858731720760.328421600225179
0.649.770748428150540.319546075142162
0.659.832174084839850.313953569299889
0.669.893539186473840.312103446560187
0.679.955595164524260.314253317323591
0.6810.01913693205980.320426942185459
0.6910.08496860824760.330498137168405
0.710.15386755759190.344083846212836
0.7110.22654487085530.360708435018945
0.7210.30359950858740.379633152663497
0.7310.3854636262370.39993848946292
0.7410.47233874378550.420425607427971
0.7510.56412669272760.439562767406107
0.7610.66036523618540.455571785761757
0.7710.7601845232420.466480538633298
0.7810.86230482333290.470384220937771
0.7910.96509566116250.465728780041218
0.811.06670958266990.451681803993165
0.8111.16529025353260.428472615276085
0.8211.25923704315870.397558737370542
0.8311.34749178002010.361678971887249
0.8411.42980402186040.324627456924348
0.8511.50693349430320.290909162708711
0.8611.58076305381250.265268847908711
0.8711.65431863966640.252114708999097
0.8811.73171594414810.254715163137642
0.8911.81806475031570.274542729887536
0.911.91934368975300.31133755577124
0.9112.04218898405930.363713558594843
0.9212.19341143090870.429222890999847
0.9312.37891813665160.50286848458161
0.9412.60174441832840.573922534972606
0.9512.85935930284440.623262677029665
0.9613.14129598134350.625642943727087
0.9713.42856413397350.562113445962965
0.9813.69462721613010.442164678404255
0.9913.90545760655530.322908571681231



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')