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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, 16 Feb 2014 17:54:16 -0500
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/Feb/16/t1392591283i6ay4kg9srrorsz.htm/, Retrieved Thu, 16 May 2024 00:46:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233889, Retrieved Thu, 16 May 2024 00:46:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact36

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] [] [2014-02-16 22:54:16] [d660962d3573c8648285a9bf86237b1a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,72
7,67
7,84
7,79
7,83
7,94
8,02
8,06
8,12
8,13
7,97
8,01
8
7,9
7,99
8,02
8,08
8,02
8,07
8,11
8,19
8,16
8,08
8,22
8,15
8,19
8,31
8,3
8,34
8,31
8,38
8,34
8,44
8,64
8,6
8,61
8,54
8,69
8,73
8,91
9,01
9,08
8,94
9,03
9,02
8,96
9,03
8,94
8,95
8,95
8,99
8,93
8,98
8,95
9,02
8,92
9,1
9,06
8,97
8,89
8,99
8,79
8,83
8,61
8,71
8,91
8,91
8,89
8,98
9
8,99
8,88
8,93
8,96
9,21
9,08
9,11
9,12
9,2
9,43
9,64
9,72
9,72
9,62

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233889&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233889&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233889&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.693912494160610.0544077793309972
0.027.732159545561130.0612885773713205
0.037.772575185872030.0635905385696667
0.047.809762131434970.0637549519872022
0.057.843084450186740.0648141456489125
0.067.87328679490640.0657730416968592
0.077.900850635365880.0645706091999673
0.087.925721426739930.0605585740024823
0.097.947638286063850.0545297893298567
0.17.966500855588770.0479212286814933
0.117.982528602852930.0420761777646752
0.127.996219711288640.0378669822414797
0.138.008214283313520.0356760521748319
0.148.019154080059180.0353176485335767
0.158.029585095487130.036374242474072
0.168.039912857873630.0382841928943885
0.178.050401752718160.0406161079213703
0.188.061203105837070.0431167276918216
0.198.07239621156160.0456910958436171
0.28.084028977137070.0484113166372774
0.218.096149112307840.0514175983653119
0.228.108821729175570.0548303043561905
0.238.122133633630020.0587742534503597
0.248.136187605047630.063287789985329
0.258.15109132162140.0683806279469718
0.268.166945559302920.0739245657798449
0.278.183835316130420.0798418721413641
0.288.201825958943290.0860016869109089
0.298.220964630842260.0923134724235245
0.38.241285307800330.0987674914949886
0.318.262814492250140.105362866765122
0.328.285574069692390.112144836354007
0.338.309578642058910.11906463862208
0.348.334826588481450.126054319947029
0.358.361286605299350.132888439166706
0.368.388883636413780.139254927847791
0.378.417489043410490.144770148433774
0.388.446919107361190.149124048902396
0.398.476943657930620.15204512726881
0.48.507303547256210.153466245174103
0.418.537732900361130.153402183237067
0.428.567980560993850.152068034157151
0.438.597825431096890.149668174499775
0.448.627082354653280.146469280222719
0.458.655598135653190.142641596743121
0.468.683240222965060.138269225623874
0.478.709882618648920.133295706115015
0.488.735394107201370.127636587520303
0.498.759632905766170.121153444415142
0.58.782449716865540.113790547128891
0.518.803698635261320.10557740608835
0.528.823253173518340.0966472279163979
0.538.841023399009270.0872410580830018
0.548.856970067524020.0776742260054905
0.558.871112593703350.0682768695161549
0.568.883529340072140.0594165982163312
0.578.894350525719310.0513222838933639
0.588.903745568769410.0442189916565221
0.598.911907551675480.0381743089509758
0.68.919037620835340.0332275008591249
0.618.925331602064060.0292949354136654
0.628.930970183902840.0262713615932752
0.638.936113004422860.0240184381905233
0.648.940896152518010.0224166622650813
0.658.945432135339110.0213116053931417
0.668.949811306844820.0206125512729862
0.678.954104009454560.0202090752132796
0.688.958363080442280.0200236169276757
0.698.962626728081050.0199565424538295
0.78.966921948661570.0199736038605427
0.718.971268589270970.0200272850748584
0.728.975683926165730.0201225845949121
0.738.980187365305210.0202614510864303
0.748.984804728132580.0204933592597122
0.758.989571636065940.0208565461885662
0.768.994535701438180.021410659650317
0.778.999757420357530.0222014658843638
0.789.005309703976450.0232542513877032
0.799.011275905500780.0245983920198499
0.89.017746297580260.0262402174246481
0.819.02481373079990.0281692943384897
0.829.032571085421710.0303100286462392
0.839.041116063528720.0326127775337154
0.849.050572043891560.0350367128204343
0.859.061135633124560.0377557833248305
0.869.073160367103610.0411986046252433
0.879.087279701632810.0462409677312188
0.889.104557846182850.05425082804324
0.899.126628638595560.0668898209824144
0.99.155735035448230.0856397949623301
0.919.194522745670670.110984956805881
0.929.24541802414640.141131433194967
0.939.309530516825890.1707903243584
0.949.385353363881550.191138956529559
0.959.467971949219540.192645249350347
0.969.549577229787370.170624010428519
0.979.621338050865850.129622795497636
0.989.675645085249950.0805631520224655
0.999.708086620448810.0331060295354582

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.69391249416061 & 0.0544077793309972 \tabularnewline
0.02 & 7.73215954556113 & 0.0612885773713205 \tabularnewline
0.03 & 7.77257518587203 & 0.0635905385696667 \tabularnewline
0.04 & 7.80976213143497 & 0.0637549519872022 \tabularnewline
0.05 & 7.84308445018674 & 0.0648141456489125 \tabularnewline
0.06 & 7.8732867949064 & 0.0657730416968592 \tabularnewline
0.07 & 7.90085063536588 & 0.0645706091999673 \tabularnewline
0.08 & 7.92572142673993 & 0.0605585740024823 \tabularnewline
0.09 & 7.94763828606385 & 0.0545297893298567 \tabularnewline
0.1 & 7.96650085558877 & 0.0479212286814933 \tabularnewline
0.11 & 7.98252860285293 & 0.0420761777646752 \tabularnewline
0.12 & 7.99621971128864 & 0.0378669822414797 \tabularnewline
0.13 & 8.00821428331352 & 0.0356760521748319 \tabularnewline
0.14 & 8.01915408005918 & 0.0353176485335767 \tabularnewline
0.15 & 8.02958509548713 & 0.036374242474072 \tabularnewline
0.16 & 8.03991285787363 & 0.0382841928943885 \tabularnewline
0.17 & 8.05040175271816 & 0.0406161079213703 \tabularnewline
0.18 & 8.06120310583707 & 0.0431167276918216 \tabularnewline
0.19 & 8.0723962115616 & 0.0456910958436171 \tabularnewline
0.2 & 8.08402897713707 & 0.0484113166372774 \tabularnewline
0.21 & 8.09614911230784 & 0.0514175983653119 \tabularnewline
0.22 & 8.10882172917557 & 0.0548303043561905 \tabularnewline
0.23 & 8.12213363363002 & 0.0587742534503597 \tabularnewline
0.24 & 8.13618760504763 & 0.063287789985329 \tabularnewline
0.25 & 8.1510913216214 & 0.0683806279469718 \tabularnewline
0.26 & 8.16694555930292 & 0.0739245657798449 \tabularnewline
0.27 & 8.18383531613042 & 0.0798418721413641 \tabularnewline
0.28 & 8.20182595894329 & 0.0860016869109089 \tabularnewline
0.29 & 8.22096463084226 & 0.0923134724235245 \tabularnewline
0.3 & 8.24128530780033 & 0.0987674914949886 \tabularnewline
0.31 & 8.26281449225014 & 0.105362866765122 \tabularnewline
0.32 & 8.28557406969239 & 0.112144836354007 \tabularnewline
0.33 & 8.30957864205891 & 0.11906463862208 \tabularnewline
0.34 & 8.33482658848145 & 0.126054319947029 \tabularnewline
0.35 & 8.36128660529935 & 0.132888439166706 \tabularnewline
0.36 & 8.38888363641378 & 0.139254927847791 \tabularnewline
0.37 & 8.41748904341049 & 0.144770148433774 \tabularnewline
0.38 & 8.44691910736119 & 0.149124048902396 \tabularnewline
0.39 & 8.47694365793062 & 0.15204512726881 \tabularnewline
0.4 & 8.50730354725621 & 0.153466245174103 \tabularnewline
0.41 & 8.53773290036113 & 0.153402183237067 \tabularnewline
0.42 & 8.56798056099385 & 0.152068034157151 \tabularnewline
0.43 & 8.59782543109689 & 0.149668174499775 \tabularnewline
0.44 & 8.62708235465328 & 0.146469280222719 \tabularnewline
0.45 & 8.65559813565319 & 0.142641596743121 \tabularnewline
0.46 & 8.68324022296506 & 0.138269225623874 \tabularnewline
0.47 & 8.70988261864892 & 0.133295706115015 \tabularnewline
0.48 & 8.73539410720137 & 0.127636587520303 \tabularnewline
0.49 & 8.75963290576617 & 0.121153444415142 \tabularnewline
0.5 & 8.78244971686554 & 0.113790547128891 \tabularnewline
0.51 & 8.80369863526132 & 0.10557740608835 \tabularnewline
0.52 & 8.82325317351834 & 0.0966472279163979 \tabularnewline
0.53 & 8.84102339900927 & 0.0872410580830018 \tabularnewline
0.54 & 8.85697006752402 & 0.0776742260054905 \tabularnewline
0.55 & 8.87111259370335 & 0.0682768695161549 \tabularnewline
0.56 & 8.88352934007214 & 0.0594165982163312 \tabularnewline
0.57 & 8.89435052571931 & 0.0513222838933639 \tabularnewline
0.58 & 8.90374556876941 & 0.0442189916565221 \tabularnewline
0.59 & 8.91190755167548 & 0.0381743089509758 \tabularnewline
0.6 & 8.91903762083534 & 0.0332275008591249 \tabularnewline
0.61 & 8.92533160206406 & 0.0292949354136654 \tabularnewline
0.62 & 8.93097018390284 & 0.0262713615932752 \tabularnewline
0.63 & 8.93611300442286 & 0.0240184381905233 \tabularnewline
0.64 & 8.94089615251801 & 0.0224166622650813 \tabularnewline
0.65 & 8.94543213533911 & 0.0213116053931417 \tabularnewline
0.66 & 8.94981130684482 & 0.0206125512729862 \tabularnewline
0.67 & 8.95410400945456 & 0.0202090752132796 \tabularnewline
0.68 & 8.95836308044228 & 0.0200236169276757 \tabularnewline
0.69 & 8.96262672808105 & 0.0199565424538295 \tabularnewline
0.7 & 8.96692194866157 & 0.0199736038605427 \tabularnewline
0.71 & 8.97126858927097 & 0.0200272850748584 \tabularnewline
0.72 & 8.97568392616573 & 0.0201225845949121 \tabularnewline
0.73 & 8.98018736530521 & 0.0202614510864303 \tabularnewline
0.74 & 8.98480472813258 & 0.0204933592597122 \tabularnewline
0.75 & 8.98957163606594 & 0.0208565461885662 \tabularnewline
0.76 & 8.99453570143818 & 0.021410659650317 \tabularnewline
0.77 & 8.99975742035753 & 0.0222014658843638 \tabularnewline
0.78 & 9.00530970397645 & 0.0232542513877032 \tabularnewline
0.79 & 9.01127590550078 & 0.0245983920198499 \tabularnewline
0.8 & 9.01774629758026 & 0.0262402174246481 \tabularnewline
0.81 & 9.0248137307999 & 0.0281692943384897 \tabularnewline
0.82 & 9.03257108542171 & 0.0303100286462392 \tabularnewline
0.83 & 9.04111606352872 & 0.0326127775337154 \tabularnewline
0.84 & 9.05057204389156 & 0.0350367128204343 \tabularnewline
0.85 & 9.06113563312456 & 0.0377557833248305 \tabularnewline
0.86 & 9.07316036710361 & 0.0411986046252433 \tabularnewline
0.87 & 9.08727970163281 & 0.0462409677312188 \tabularnewline
0.88 & 9.10455784618285 & 0.05425082804324 \tabularnewline
0.89 & 9.12662863859556 & 0.0668898209824144 \tabularnewline
0.9 & 9.15573503544823 & 0.0856397949623301 \tabularnewline
0.91 & 9.19452274567067 & 0.110984956805881 \tabularnewline
0.92 & 9.2454180241464 & 0.141131433194967 \tabularnewline
0.93 & 9.30953051682589 & 0.1707903243584 \tabularnewline
0.94 & 9.38535336388155 & 0.191138956529559 \tabularnewline
0.95 & 9.46797194921954 & 0.192645249350347 \tabularnewline
0.96 & 9.54957722978737 & 0.170624010428519 \tabularnewline
0.97 & 9.62133805086585 & 0.129622795497636 \tabularnewline
0.98 & 9.67564508524995 & 0.0805631520224655 \tabularnewline
0.99 & 9.70808662044881 & 0.0331060295354582 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233889&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]7.69391249416061[/C][C]0.0544077793309972[/C][/ROW]
[ROW][C]0.02[/C][C]7.73215954556113[/C][C]0.0612885773713205[/C][/ROW]
[ROW][C]0.03[/C][C]7.77257518587203[/C][C]0.0635905385696667[/C][/ROW]
[ROW][C]0.04[/C][C]7.80976213143497[/C][C]0.0637549519872022[/C][/ROW]
[ROW][C]0.05[/C][C]7.84308445018674[/C][C]0.0648141456489125[/C][/ROW]
[ROW][C]0.06[/C][C]7.8732867949064[/C][C]0.0657730416968592[/C][/ROW]
[ROW][C]0.07[/C][C]7.90085063536588[/C][C]0.0645706091999673[/C][/ROW]
[ROW][C]0.08[/C][C]7.92572142673993[/C][C]0.0605585740024823[/C][/ROW]
[ROW][C]0.09[/C][C]7.94763828606385[/C][C]0.0545297893298567[/C][/ROW]
[ROW][C]0.1[/C][C]7.96650085558877[/C][C]0.0479212286814933[/C][/ROW]
[ROW][C]0.11[/C][C]7.98252860285293[/C][C]0.0420761777646752[/C][/ROW]
[ROW][C]0.12[/C][C]7.99621971128864[/C][C]0.0378669822414797[/C][/ROW]
[ROW][C]0.13[/C][C]8.00821428331352[/C][C]0.0356760521748319[/C][/ROW]
[ROW][C]0.14[/C][C]8.01915408005918[/C][C]0.0353176485335767[/C][/ROW]
[ROW][C]0.15[/C][C]8.02958509548713[/C][C]0.036374242474072[/C][/ROW]
[ROW][C]0.16[/C][C]8.03991285787363[/C][C]0.0382841928943885[/C][/ROW]
[ROW][C]0.17[/C][C]8.05040175271816[/C][C]0.0406161079213703[/C][/ROW]
[ROW][C]0.18[/C][C]8.06120310583707[/C][C]0.0431167276918216[/C][/ROW]
[ROW][C]0.19[/C][C]8.0723962115616[/C][C]0.0456910958436171[/C][/ROW]
[ROW][C]0.2[/C][C]8.08402897713707[/C][C]0.0484113166372774[/C][/ROW]
[ROW][C]0.21[/C][C]8.09614911230784[/C][C]0.0514175983653119[/C][/ROW]
[ROW][C]0.22[/C][C]8.10882172917557[/C][C]0.0548303043561905[/C][/ROW]
[ROW][C]0.23[/C][C]8.12213363363002[/C][C]0.0587742534503597[/C][/ROW]
[ROW][C]0.24[/C][C]8.13618760504763[/C][C]0.063287789985329[/C][/ROW]
[ROW][C]0.25[/C][C]8.1510913216214[/C][C]0.0683806279469718[/C][/ROW]
[ROW][C]0.26[/C][C]8.16694555930292[/C][C]0.0739245657798449[/C][/ROW]
[ROW][C]0.27[/C][C]8.18383531613042[/C][C]0.0798418721413641[/C][/ROW]
[ROW][C]0.28[/C][C]8.20182595894329[/C][C]0.0860016869109089[/C][/ROW]
[ROW][C]0.29[/C][C]8.22096463084226[/C][C]0.0923134724235245[/C][/ROW]
[ROW][C]0.3[/C][C]8.24128530780033[/C][C]0.0987674914949886[/C][/ROW]
[ROW][C]0.31[/C][C]8.26281449225014[/C][C]0.105362866765122[/C][/ROW]
[ROW][C]0.32[/C][C]8.28557406969239[/C][C]0.112144836354007[/C][/ROW]
[ROW][C]0.33[/C][C]8.30957864205891[/C][C]0.11906463862208[/C][/ROW]
[ROW][C]0.34[/C][C]8.33482658848145[/C][C]0.126054319947029[/C][/ROW]
[ROW][C]0.35[/C][C]8.36128660529935[/C][C]0.132888439166706[/C][/ROW]
[ROW][C]0.36[/C][C]8.38888363641378[/C][C]0.139254927847791[/C][/ROW]
[ROW][C]0.37[/C][C]8.41748904341049[/C][C]0.144770148433774[/C][/ROW]
[ROW][C]0.38[/C][C]8.44691910736119[/C][C]0.149124048902396[/C][/ROW]
[ROW][C]0.39[/C][C]8.47694365793062[/C][C]0.15204512726881[/C][/ROW]
[ROW][C]0.4[/C][C]8.50730354725621[/C][C]0.153466245174103[/C][/ROW]
[ROW][C]0.41[/C][C]8.53773290036113[/C][C]0.153402183237067[/C][/ROW]
[ROW][C]0.42[/C][C]8.56798056099385[/C][C]0.152068034157151[/C][/ROW]
[ROW][C]0.43[/C][C]8.59782543109689[/C][C]0.149668174499775[/C][/ROW]
[ROW][C]0.44[/C][C]8.62708235465328[/C][C]0.146469280222719[/C][/ROW]
[ROW][C]0.45[/C][C]8.65559813565319[/C][C]0.142641596743121[/C][/ROW]
[ROW][C]0.46[/C][C]8.68324022296506[/C][C]0.138269225623874[/C][/ROW]
[ROW][C]0.47[/C][C]8.70988261864892[/C][C]0.133295706115015[/C][/ROW]
[ROW][C]0.48[/C][C]8.73539410720137[/C][C]0.127636587520303[/C][/ROW]
[ROW][C]0.49[/C][C]8.75963290576617[/C][C]0.121153444415142[/C][/ROW]
[ROW][C]0.5[/C][C]8.78244971686554[/C][C]0.113790547128891[/C][/ROW]
[ROW][C]0.51[/C][C]8.80369863526132[/C][C]0.10557740608835[/C][/ROW]
[ROW][C]0.52[/C][C]8.82325317351834[/C][C]0.0966472279163979[/C][/ROW]
[ROW][C]0.53[/C][C]8.84102339900927[/C][C]0.0872410580830018[/C][/ROW]
[ROW][C]0.54[/C][C]8.85697006752402[/C][C]0.0776742260054905[/C][/ROW]
[ROW][C]0.55[/C][C]8.87111259370335[/C][C]0.0682768695161549[/C][/ROW]
[ROW][C]0.56[/C][C]8.88352934007214[/C][C]0.0594165982163312[/C][/ROW]
[ROW][C]0.57[/C][C]8.89435052571931[/C][C]0.0513222838933639[/C][/ROW]
[ROW][C]0.58[/C][C]8.90374556876941[/C][C]0.0442189916565221[/C][/ROW]
[ROW][C]0.59[/C][C]8.91190755167548[/C][C]0.0381743089509758[/C][/ROW]
[ROW][C]0.6[/C][C]8.91903762083534[/C][C]0.0332275008591249[/C][/ROW]
[ROW][C]0.61[/C][C]8.92533160206406[/C][C]0.0292949354136654[/C][/ROW]
[ROW][C]0.62[/C][C]8.93097018390284[/C][C]0.0262713615932752[/C][/ROW]
[ROW][C]0.63[/C][C]8.93611300442286[/C][C]0.0240184381905233[/C][/ROW]
[ROW][C]0.64[/C][C]8.94089615251801[/C][C]0.0224166622650813[/C][/ROW]
[ROW][C]0.65[/C][C]8.94543213533911[/C][C]0.0213116053931417[/C][/ROW]
[ROW][C]0.66[/C][C]8.94981130684482[/C][C]0.0206125512729862[/C][/ROW]
[ROW][C]0.67[/C][C]8.95410400945456[/C][C]0.0202090752132796[/C][/ROW]
[ROW][C]0.68[/C][C]8.95836308044228[/C][C]0.0200236169276757[/C][/ROW]
[ROW][C]0.69[/C][C]8.96262672808105[/C][C]0.0199565424538295[/C][/ROW]
[ROW][C]0.7[/C][C]8.96692194866157[/C][C]0.0199736038605427[/C][/ROW]
[ROW][C]0.71[/C][C]8.97126858927097[/C][C]0.0200272850748584[/C][/ROW]
[ROW][C]0.72[/C][C]8.97568392616573[/C][C]0.0201225845949121[/C][/ROW]
[ROW][C]0.73[/C][C]8.98018736530521[/C][C]0.0202614510864303[/C][/ROW]
[ROW][C]0.74[/C][C]8.98480472813258[/C][C]0.0204933592597122[/C][/ROW]
[ROW][C]0.75[/C][C]8.98957163606594[/C][C]0.0208565461885662[/C][/ROW]
[ROW][C]0.76[/C][C]8.99453570143818[/C][C]0.021410659650317[/C][/ROW]
[ROW][C]0.77[/C][C]8.99975742035753[/C][C]0.0222014658843638[/C][/ROW]
[ROW][C]0.78[/C][C]9.00530970397645[/C][C]0.0232542513877032[/C][/ROW]
[ROW][C]0.79[/C][C]9.01127590550078[/C][C]0.0245983920198499[/C][/ROW]
[ROW][C]0.8[/C][C]9.01774629758026[/C][C]0.0262402174246481[/C][/ROW]
[ROW][C]0.81[/C][C]9.0248137307999[/C][C]0.0281692943384897[/C][/ROW]
[ROW][C]0.82[/C][C]9.03257108542171[/C][C]0.0303100286462392[/C][/ROW]
[ROW][C]0.83[/C][C]9.04111606352872[/C][C]0.0326127775337154[/C][/ROW]
[ROW][C]0.84[/C][C]9.05057204389156[/C][C]0.0350367128204343[/C][/ROW]
[ROW][C]0.85[/C][C]9.06113563312456[/C][C]0.0377557833248305[/C][/ROW]
[ROW][C]0.86[/C][C]9.07316036710361[/C][C]0.0411986046252433[/C][/ROW]
[ROW][C]0.87[/C][C]9.08727970163281[/C][C]0.0462409677312188[/C][/ROW]
[ROW][C]0.88[/C][C]9.10455784618285[/C][C]0.05425082804324[/C][/ROW]
[ROW][C]0.89[/C][C]9.12662863859556[/C][C]0.0668898209824144[/C][/ROW]
[ROW][C]0.9[/C][C]9.15573503544823[/C][C]0.0856397949623301[/C][/ROW]
[ROW][C]0.91[/C][C]9.19452274567067[/C][C]0.110984956805881[/C][/ROW]
[ROW][C]0.92[/C][C]9.2454180241464[/C][C]0.141131433194967[/C][/ROW]
[ROW][C]0.93[/C][C]9.30953051682589[/C][C]0.1707903243584[/C][/ROW]
[ROW][C]0.94[/C][C]9.38535336388155[/C][C]0.191138956529559[/C][/ROW]
[ROW][C]0.95[/C][C]9.46797194921954[/C][C]0.192645249350347[/C][/ROW]
[ROW][C]0.96[/C][C]9.54957722978737[/C][C]0.170624010428519[/C][/ROW]
[ROW][C]0.97[/C][C]9.62133805086585[/C][C]0.129622795497636[/C][/ROW]
[ROW][C]0.98[/C][C]9.67564508524995[/C][C]0.0805631520224655[/C][/ROW]
[ROW][C]0.99[/C][C]9.70808662044881[/C][C]0.0331060295354582[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233889&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233889&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
0.017.693912494160610.0544077793309972
0.027.732159545561130.0612885773713205
0.037.772575185872030.0635905385696667
0.047.809762131434970.0637549519872022
0.057.843084450186740.0648141456489125
0.067.87328679490640.0657730416968592
0.077.900850635365880.0645706091999673
0.087.925721426739930.0605585740024823
0.097.947638286063850.0545297893298567
0.17.966500855588770.0479212286814933
0.117.982528602852930.0420761777646752
0.127.996219711288640.0378669822414797
0.138.008214283313520.0356760521748319
0.148.019154080059180.0353176485335767
0.158.029585095487130.036374242474072
0.168.039912857873630.0382841928943885
0.178.050401752718160.0406161079213703
0.188.061203105837070.0431167276918216
0.198.07239621156160.0456910958436171
0.28.084028977137070.0484113166372774
0.218.096149112307840.0514175983653119
0.228.108821729175570.0548303043561905
0.238.122133633630020.0587742534503597
0.248.136187605047630.063287789985329
0.258.15109132162140.0683806279469718
0.268.166945559302920.0739245657798449
0.278.183835316130420.0798418721413641
0.288.201825958943290.0860016869109089
0.298.220964630842260.0923134724235245
0.38.241285307800330.0987674914949886
0.318.262814492250140.105362866765122
0.328.285574069692390.112144836354007
0.338.309578642058910.11906463862208
0.348.334826588481450.126054319947029
0.358.361286605299350.132888439166706
0.368.388883636413780.139254927847791
0.378.417489043410490.144770148433774
0.388.446919107361190.149124048902396
0.398.476943657930620.15204512726881
0.48.507303547256210.153466245174103
0.418.537732900361130.153402183237067
0.428.567980560993850.152068034157151
0.438.597825431096890.149668174499775
0.448.627082354653280.146469280222719
0.458.655598135653190.142641596743121
0.468.683240222965060.138269225623874
0.478.709882618648920.133295706115015
0.488.735394107201370.127636587520303
0.498.759632905766170.121153444415142
0.58.782449716865540.113790547128891
0.518.803698635261320.10557740608835
0.528.823253173518340.0966472279163979
0.538.841023399009270.0872410580830018
0.548.856970067524020.0776742260054905
0.558.871112593703350.0682768695161549
0.568.883529340072140.0594165982163312
0.578.894350525719310.0513222838933639
0.588.903745568769410.0442189916565221
0.598.911907551675480.0381743089509758
0.68.919037620835340.0332275008591249
0.618.925331602064060.0292949354136654
0.628.930970183902840.0262713615932752
0.638.936113004422860.0240184381905233
0.648.940896152518010.0224166622650813
0.658.945432135339110.0213116053931417
0.668.949811306844820.0206125512729862
0.678.954104009454560.0202090752132796
0.688.958363080442280.0200236169276757
0.698.962626728081050.0199565424538295
0.78.966921948661570.0199736038605427
0.718.971268589270970.0200272850748584
0.728.975683926165730.0201225845949121
0.738.980187365305210.0202614510864303
0.748.984804728132580.0204933592597122
0.758.989571636065940.0208565461885662
0.768.994535701438180.021410659650317
0.778.999757420357530.0222014658843638
0.789.005309703976450.0232542513877032
0.799.011275905500780.0245983920198499
0.89.017746297580260.0262402174246481
0.819.02481373079990.0281692943384897
0.829.032571085421710.0303100286462392
0.839.041116063528720.0326127775337154
0.849.050572043891560.0350367128204343
0.859.061135633124560.0377557833248305
0.869.073160367103610.0411986046252433
0.879.087279701632810.0462409677312188
0.889.104557846182850.05425082804324
0.899.126628638595560.0668898209824144
0.99.155735035448230.0856397949623301
0.919.194522745670670.110984956805881
0.929.24541802414640.141131433194967
0.939.309530516825890.1707903243584
0.949.385353363881550.191138956529559
0.959.467971949219540.192645249350347
0.969.549577229787370.170624010428519
0.979.621338050865850.129622795497636
0.989.675645085249950.0805631520224655
0.999.708086620448810.0331060295354582


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')