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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 computationTue, 26 Feb 2013 11:37:34 -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/2013/Feb/26/t1361896693fg5ykjp6ohijadn.htm/, Retrieved Mon, 06 May 2024 20:26:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=207073, Retrieved Mon, 06 May 2024 20:26:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

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] [opgave 4, oefenin...] [2013-02-26 16:37:34] [1d769b43b3426eacfc1d7d5ec9e3993f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,14
7,11
7,21
7,25
7,25
7,45
7,45
7,49
7,47
7,49
7,47
7,51
7,52
7,5
7,54
7,54
7,57
7,53
7,54
7,63
7,61
7,64
7,68
7,7
7,72
7,71
7,77
7,83
7,85
7,89
8,01
8,18
8,25
8,31
8,34
8,38
8,36
8,34
8,34
8,3
8,35
8,36
8,34
8,39
8,23
8,14
8,04
8,05
7,99
8,17
8,22
8,12
8,11
8,12
8,11
8,03
8,03
7,96
7,96
7,87
7,9
7,87
7,94
7,82
7,83
7,86
7,81
7,76
7,75
7,75
7,74
7,72

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'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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207073&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207073&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207073&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.017.124547009162370.039767429812798
0.027.150924709444740.0556760860978481
0.037.184377763322370.0699839661821066
0.047.221300491735160.0825349943756619
0.057.259734803130340.0936386451944123
0.067.298354946548090.100597651021762
0.077.335712196331750.100607999214357
0.087.370193201485660.0933019003745323
0.097.400422893715570.0807967767092146
0.17.425663900916430.0663303026736765
0.117.445941571196830.0528175000054545
0.127.461887736013040.0420691335915001
0.137.474449595439640.0346778990612575
0.147.484617082382280.0303522003162615
0.157.493250560400970.0283766721638023
0.167.501016382873980.0280241764904793
0.177.508396995289470.0288161655311996
0.187.51573475233760.030483558046292
0.197.523279154614890.0329251455855004
0.27.531221748118760.0360925614187279
0.217.539714320458350.039895246181596
0.227.548872722702450.044182699932672
0.237.558771622971160.0487215448822624
0.247.569436113289630.0532279189488217
0.257.580835302860450.057386817502973
0.267.592881427439920.0609003284970774
0.277.605436029749160.0635246900187606
0.287.618322836287560.0651084401289545
0.297.631345437371880.0656131083805257
0.37.644307005550230.0650815536001161
0.317.657029118246950.0636632045129044
0.327.669367172455070.0615724462714619
0.337.681220679505340.0590604256362886
0.347.69253767168380.0564017475724234
0.357.703313345990910.0538459170722532
0.367.713583790376710.0516014502088043
0.377.723416130092930.049819886967711
0.387.732896691470720.0485661120059235
0.397.742118828526190.0478535826247428
0.47.751171924187730.0476026140215636
0.417.760132793949260.0477045652298213
0.427.769060318939620.0480293632596128
0.437.777993658137950.0484362834681475
0.447.786953886513940.04883790881753
0.457.795948437443660.0491520186129728
0.467.804977356909330.049374785569709
0.477.814040158701710.04953789778895
0.487.823142038975980.0496981642378078
0.497.832298370740440.0499616261580384
0.57.841536727584180.0503976735979697
0.517.850896126340160.0511085463768489
0.527.860423657361590.0521202261845608
0.537.870169110514010.0534410636464926
0.547.880178534828160.0550181213970119
0.557.890487838837860.0567592162406692
0.567.901117521630990.0585436020978223
0.577.912069425218640.0602405282655253
0.587.923326049099120.0617332546193081
0.597.934852524748860.0629196963212068
0.67.946600886116820.0637450253505834
0.617.958515875193720.0641752602967433
0.627.970541268116840.0642466125571471
0.637.982625656408850.0640039143755576
0.647.994726794146360.063536706792549
0.658.006814001261290.0629183015477556
0.668.018868618198850.0622189246018098
0.678.030883014067970.061497609630833
0.688.042859014157790.0607957618047583
0.698.054806707335430.0601158091363423
0.78.066744359257910.0594980924973962
0.718.078699634834860.0589457403670333
0.728.090711670978060.0585272617965311
0.738.102832955952170.058309238569179
0.748.115129677146790.0583742129079279
0.758.12767931589950.0587882133070647
0.768.140564766876740.0595752993238398
0.778.153864965545710.0606981017258685
0.788.167642678793730.0620434656778637
0.798.181930567620870.0634333062573415
0.88.196716851403630.0646564427654755
0.818.211932064178930.0654428528620413
0.828.227438752291860.0655173907577318
0.838.243026652648330.064604035547559
0.848.258416704554960.0624516636829701
0.858.273277551720810.0589139613515279
0.868.287257083726010.0539662318332752
0.878.300028322263120.0477930488607073
0.888.311343657184770.0407790533295156
0.898.321085553761930.0334994225209078
0.98.329298401192760.0266269337124655
0.918.336188877680780.0207952278551083
0.928.342093131008080.016453475166687
0.938.347424850065250.0137374758888843
0.948.352627352115070.0124255954877994
0.958.358139099577770.0121936528138562
0.968.364340148808320.0127630298905037
0.978.371401645467090.0135181048724277
0.988.378974047285890.013266240288069
0.998.385825885577220.011494439046411

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 7.12454700916237 & 0.039767429812798 \tabularnewline
0.02 & 7.15092470944474 & 0.0556760860978481 \tabularnewline
0.03 & 7.18437776332237 & 0.0699839661821066 \tabularnewline
0.04 & 7.22130049173516 & 0.0825349943756619 \tabularnewline
0.05 & 7.25973480313034 & 0.0936386451944123 \tabularnewline
0.06 & 7.29835494654809 & 0.100597651021762 \tabularnewline
0.07 & 7.33571219633175 & 0.100607999214357 \tabularnewline
0.08 & 7.37019320148566 & 0.0933019003745323 \tabularnewline
0.09 & 7.40042289371557 & 0.0807967767092146 \tabularnewline
0.1 & 7.42566390091643 & 0.0663303026736765 \tabularnewline
0.11 & 7.44594157119683 & 0.0528175000054545 \tabularnewline
0.12 & 7.46188773601304 & 0.0420691335915001 \tabularnewline
0.13 & 7.47444959543964 & 0.0346778990612575 \tabularnewline
0.14 & 7.48461708238228 & 0.0303522003162615 \tabularnewline
0.15 & 7.49325056040097 & 0.0283766721638023 \tabularnewline
0.16 & 7.50101638287398 & 0.0280241764904793 \tabularnewline
0.17 & 7.50839699528947 & 0.0288161655311996 \tabularnewline
0.18 & 7.5157347523376 & 0.030483558046292 \tabularnewline
0.19 & 7.52327915461489 & 0.0329251455855004 \tabularnewline
0.2 & 7.53122174811876 & 0.0360925614187279 \tabularnewline
0.21 & 7.53971432045835 & 0.039895246181596 \tabularnewline
0.22 & 7.54887272270245 & 0.044182699932672 \tabularnewline
0.23 & 7.55877162297116 & 0.0487215448822624 \tabularnewline
0.24 & 7.56943611328963 & 0.0532279189488217 \tabularnewline
0.25 & 7.58083530286045 & 0.057386817502973 \tabularnewline
0.26 & 7.59288142743992 & 0.0609003284970774 \tabularnewline
0.27 & 7.60543602974916 & 0.0635246900187606 \tabularnewline
0.28 & 7.61832283628756 & 0.0651084401289545 \tabularnewline
0.29 & 7.63134543737188 & 0.0656131083805257 \tabularnewline
0.3 & 7.64430700555023 & 0.0650815536001161 \tabularnewline
0.31 & 7.65702911824695 & 0.0636632045129044 \tabularnewline
0.32 & 7.66936717245507 & 0.0615724462714619 \tabularnewline
0.33 & 7.68122067950534 & 0.0590604256362886 \tabularnewline
0.34 & 7.6925376716838 & 0.0564017475724234 \tabularnewline
0.35 & 7.70331334599091 & 0.0538459170722532 \tabularnewline
0.36 & 7.71358379037671 & 0.0516014502088043 \tabularnewline
0.37 & 7.72341613009293 & 0.049819886967711 \tabularnewline
0.38 & 7.73289669147072 & 0.0485661120059235 \tabularnewline
0.39 & 7.74211882852619 & 0.0478535826247428 \tabularnewline
0.4 & 7.75117192418773 & 0.0476026140215636 \tabularnewline
0.41 & 7.76013279394926 & 0.0477045652298213 \tabularnewline
0.42 & 7.76906031893962 & 0.0480293632596128 \tabularnewline
0.43 & 7.77799365813795 & 0.0484362834681475 \tabularnewline
0.44 & 7.78695388651394 & 0.04883790881753 \tabularnewline
0.45 & 7.79594843744366 & 0.0491520186129728 \tabularnewline
0.46 & 7.80497735690933 & 0.049374785569709 \tabularnewline
0.47 & 7.81404015870171 & 0.04953789778895 \tabularnewline
0.48 & 7.82314203897598 & 0.0496981642378078 \tabularnewline
0.49 & 7.83229837074044 & 0.0499616261580384 \tabularnewline
0.5 & 7.84153672758418 & 0.0503976735979697 \tabularnewline
0.51 & 7.85089612634016 & 0.0511085463768489 \tabularnewline
0.52 & 7.86042365736159 & 0.0521202261845608 \tabularnewline
0.53 & 7.87016911051401 & 0.0534410636464926 \tabularnewline
0.54 & 7.88017853482816 & 0.0550181213970119 \tabularnewline
0.55 & 7.89048783883786 & 0.0567592162406692 \tabularnewline
0.56 & 7.90111752163099 & 0.0585436020978223 \tabularnewline
0.57 & 7.91206942521864 & 0.0602405282655253 \tabularnewline
0.58 & 7.92332604909912 & 0.0617332546193081 \tabularnewline
0.59 & 7.93485252474886 & 0.0629196963212068 \tabularnewline
0.6 & 7.94660088611682 & 0.0637450253505834 \tabularnewline
0.61 & 7.95851587519372 & 0.0641752602967433 \tabularnewline
0.62 & 7.97054126811684 & 0.0642466125571471 \tabularnewline
0.63 & 7.98262565640885 & 0.0640039143755576 \tabularnewline
0.64 & 7.99472679414636 & 0.063536706792549 \tabularnewline
0.65 & 8.00681400126129 & 0.0629183015477556 \tabularnewline
0.66 & 8.01886861819885 & 0.0622189246018098 \tabularnewline
0.67 & 8.03088301406797 & 0.061497609630833 \tabularnewline
0.68 & 8.04285901415779 & 0.0607957618047583 \tabularnewline
0.69 & 8.05480670733543 & 0.0601158091363423 \tabularnewline
0.7 & 8.06674435925791 & 0.0594980924973962 \tabularnewline
0.71 & 8.07869963483486 & 0.0589457403670333 \tabularnewline
0.72 & 8.09071167097806 & 0.0585272617965311 \tabularnewline
0.73 & 8.10283295595217 & 0.058309238569179 \tabularnewline
0.74 & 8.11512967714679 & 0.0583742129079279 \tabularnewline
0.75 & 8.1276793158995 & 0.0587882133070647 \tabularnewline
0.76 & 8.14056476687674 & 0.0595752993238398 \tabularnewline
0.77 & 8.15386496554571 & 0.0606981017258685 \tabularnewline
0.78 & 8.16764267879373 & 0.0620434656778637 \tabularnewline
0.79 & 8.18193056762087 & 0.0634333062573415 \tabularnewline
0.8 & 8.19671685140363 & 0.0646564427654755 \tabularnewline
0.81 & 8.21193206417893 & 0.0654428528620413 \tabularnewline
0.82 & 8.22743875229186 & 0.0655173907577318 \tabularnewline
0.83 & 8.24302665264833 & 0.064604035547559 \tabularnewline
0.84 & 8.25841670455496 & 0.0624516636829701 \tabularnewline
0.85 & 8.27327755172081 & 0.0589139613515279 \tabularnewline
0.86 & 8.28725708372601 & 0.0539662318332752 \tabularnewline
0.87 & 8.30002832226312 & 0.0477930488607073 \tabularnewline
0.88 & 8.31134365718477 & 0.0407790533295156 \tabularnewline
0.89 & 8.32108555376193 & 0.0334994225209078 \tabularnewline
0.9 & 8.32929840119276 & 0.0266269337124655 \tabularnewline
0.91 & 8.33618887768078 & 0.0207952278551083 \tabularnewline
0.92 & 8.34209313100808 & 0.016453475166687 \tabularnewline
0.93 & 8.34742485006525 & 0.0137374758888843 \tabularnewline
0.94 & 8.35262735211507 & 0.0124255954877994 \tabularnewline
0.95 & 8.35813909957777 & 0.0121936528138562 \tabularnewline
0.96 & 8.36434014880832 & 0.0127630298905037 \tabularnewline
0.97 & 8.37140164546709 & 0.0135181048724277 \tabularnewline
0.98 & 8.37897404728589 & 0.013266240288069 \tabularnewline
0.99 & 8.38582588557722 & 0.011494439046411 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=207073&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]7.12454700916237[/C][C]0.039767429812798[/C][/ROW]
[ROW][C]0.02[/C][C]7.15092470944474[/C][C]0.0556760860978481[/C][/ROW]
[ROW][C]0.03[/C][C]7.18437776332237[/C][C]0.0699839661821066[/C][/ROW]
[ROW][C]0.04[/C][C]7.22130049173516[/C][C]0.0825349943756619[/C][/ROW]
[ROW][C]0.05[/C][C]7.25973480313034[/C][C]0.0936386451944123[/C][/ROW]
[ROW][C]0.06[/C][C]7.29835494654809[/C][C]0.100597651021762[/C][/ROW]
[ROW][C]0.07[/C][C]7.33571219633175[/C][C]0.100607999214357[/C][/ROW]
[ROW][C]0.08[/C][C]7.37019320148566[/C][C]0.0933019003745323[/C][/ROW]
[ROW][C]0.09[/C][C]7.40042289371557[/C][C]0.0807967767092146[/C][/ROW]
[ROW][C]0.1[/C][C]7.42566390091643[/C][C]0.0663303026736765[/C][/ROW]
[ROW][C]0.11[/C][C]7.44594157119683[/C][C]0.0528175000054545[/C][/ROW]
[ROW][C]0.12[/C][C]7.46188773601304[/C][C]0.0420691335915001[/C][/ROW]
[ROW][C]0.13[/C][C]7.47444959543964[/C][C]0.0346778990612575[/C][/ROW]
[ROW][C]0.14[/C][C]7.48461708238228[/C][C]0.0303522003162615[/C][/ROW]
[ROW][C]0.15[/C][C]7.49325056040097[/C][C]0.0283766721638023[/C][/ROW]
[ROW][C]0.16[/C][C]7.50101638287398[/C][C]0.0280241764904793[/C][/ROW]
[ROW][C]0.17[/C][C]7.50839699528947[/C][C]0.0288161655311996[/C][/ROW]
[ROW][C]0.18[/C][C]7.5157347523376[/C][C]0.030483558046292[/C][/ROW]
[ROW][C]0.19[/C][C]7.52327915461489[/C][C]0.0329251455855004[/C][/ROW]
[ROW][C]0.2[/C][C]7.53122174811876[/C][C]0.0360925614187279[/C][/ROW]
[ROW][C]0.21[/C][C]7.53971432045835[/C][C]0.039895246181596[/C][/ROW]
[ROW][C]0.22[/C][C]7.54887272270245[/C][C]0.044182699932672[/C][/ROW]
[ROW][C]0.23[/C][C]7.55877162297116[/C][C]0.0487215448822624[/C][/ROW]
[ROW][C]0.24[/C][C]7.56943611328963[/C][C]0.0532279189488217[/C][/ROW]
[ROW][C]0.25[/C][C]7.58083530286045[/C][C]0.057386817502973[/C][/ROW]
[ROW][C]0.26[/C][C]7.59288142743992[/C][C]0.0609003284970774[/C][/ROW]
[ROW][C]0.27[/C][C]7.60543602974916[/C][C]0.0635246900187606[/C][/ROW]
[ROW][C]0.28[/C][C]7.61832283628756[/C][C]0.0651084401289545[/C][/ROW]
[ROW][C]0.29[/C][C]7.63134543737188[/C][C]0.0656131083805257[/C][/ROW]
[ROW][C]0.3[/C][C]7.64430700555023[/C][C]0.0650815536001161[/C][/ROW]
[ROW][C]0.31[/C][C]7.65702911824695[/C][C]0.0636632045129044[/C][/ROW]
[ROW][C]0.32[/C][C]7.66936717245507[/C][C]0.0615724462714619[/C][/ROW]
[ROW][C]0.33[/C][C]7.68122067950534[/C][C]0.0590604256362886[/C][/ROW]
[ROW][C]0.34[/C][C]7.6925376716838[/C][C]0.0564017475724234[/C][/ROW]
[ROW][C]0.35[/C][C]7.70331334599091[/C][C]0.0538459170722532[/C][/ROW]
[ROW][C]0.36[/C][C]7.71358379037671[/C][C]0.0516014502088043[/C][/ROW]
[ROW][C]0.37[/C][C]7.72341613009293[/C][C]0.049819886967711[/C][/ROW]
[ROW][C]0.38[/C][C]7.73289669147072[/C][C]0.0485661120059235[/C][/ROW]
[ROW][C]0.39[/C][C]7.74211882852619[/C][C]0.0478535826247428[/C][/ROW]
[ROW][C]0.4[/C][C]7.75117192418773[/C][C]0.0476026140215636[/C][/ROW]
[ROW][C]0.41[/C][C]7.76013279394926[/C][C]0.0477045652298213[/C][/ROW]
[ROW][C]0.42[/C][C]7.76906031893962[/C][C]0.0480293632596128[/C][/ROW]
[ROW][C]0.43[/C][C]7.77799365813795[/C][C]0.0484362834681475[/C][/ROW]
[ROW][C]0.44[/C][C]7.78695388651394[/C][C]0.04883790881753[/C][/ROW]
[ROW][C]0.45[/C][C]7.79594843744366[/C][C]0.0491520186129728[/C][/ROW]
[ROW][C]0.46[/C][C]7.80497735690933[/C][C]0.049374785569709[/C][/ROW]
[ROW][C]0.47[/C][C]7.81404015870171[/C][C]0.04953789778895[/C][/ROW]
[ROW][C]0.48[/C][C]7.82314203897598[/C][C]0.0496981642378078[/C][/ROW]
[ROW][C]0.49[/C][C]7.83229837074044[/C][C]0.0499616261580384[/C][/ROW]
[ROW][C]0.5[/C][C]7.84153672758418[/C][C]0.0503976735979697[/C][/ROW]
[ROW][C]0.51[/C][C]7.85089612634016[/C][C]0.0511085463768489[/C][/ROW]
[ROW][C]0.52[/C][C]7.86042365736159[/C][C]0.0521202261845608[/C][/ROW]
[ROW][C]0.53[/C][C]7.87016911051401[/C][C]0.0534410636464926[/C][/ROW]
[ROW][C]0.54[/C][C]7.88017853482816[/C][C]0.0550181213970119[/C][/ROW]
[ROW][C]0.55[/C][C]7.89048783883786[/C][C]0.0567592162406692[/C][/ROW]
[ROW][C]0.56[/C][C]7.90111752163099[/C][C]0.0585436020978223[/C][/ROW]
[ROW][C]0.57[/C][C]7.91206942521864[/C][C]0.0602405282655253[/C][/ROW]
[ROW][C]0.58[/C][C]7.92332604909912[/C][C]0.0617332546193081[/C][/ROW]
[ROW][C]0.59[/C][C]7.93485252474886[/C][C]0.0629196963212068[/C][/ROW]
[ROW][C]0.6[/C][C]7.94660088611682[/C][C]0.0637450253505834[/C][/ROW]
[ROW][C]0.61[/C][C]7.95851587519372[/C][C]0.0641752602967433[/C][/ROW]
[ROW][C]0.62[/C][C]7.97054126811684[/C][C]0.0642466125571471[/C][/ROW]
[ROW][C]0.63[/C][C]7.98262565640885[/C][C]0.0640039143755576[/C][/ROW]
[ROW][C]0.64[/C][C]7.99472679414636[/C][C]0.063536706792549[/C][/ROW]
[ROW][C]0.65[/C][C]8.00681400126129[/C][C]0.0629183015477556[/C][/ROW]
[ROW][C]0.66[/C][C]8.01886861819885[/C][C]0.0622189246018098[/C][/ROW]
[ROW][C]0.67[/C][C]8.03088301406797[/C][C]0.061497609630833[/C][/ROW]
[ROW][C]0.68[/C][C]8.04285901415779[/C][C]0.0607957618047583[/C][/ROW]
[ROW][C]0.69[/C][C]8.05480670733543[/C][C]0.0601158091363423[/C][/ROW]
[ROW][C]0.7[/C][C]8.06674435925791[/C][C]0.0594980924973962[/C][/ROW]
[ROW][C]0.71[/C][C]8.07869963483486[/C][C]0.0589457403670333[/C][/ROW]
[ROW][C]0.72[/C][C]8.09071167097806[/C][C]0.0585272617965311[/C][/ROW]
[ROW][C]0.73[/C][C]8.10283295595217[/C][C]0.058309238569179[/C][/ROW]
[ROW][C]0.74[/C][C]8.11512967714679[/C][C]0.0583742129079279[/C][/ROW]
[ROW][C]0.75[/C][C]8.1276793158995[/C][C]0.0587882133070647[/C][/ROW]
[ROW][C]0.76[/C][C]8.14056476687674[/C][C]0.0595752993238398[/C][/ROW]
[ROW][C]0.77[/C][C]8.15386496554571[/C][C]0.0606981017258685[/C][/ROW]
[ROW][C]0.78[/C][C]8.16764267879373[/C][C]0.0620434656778637[/C][/ROW]
[ROW][C]0.79[/C][C]8.18193056762087[/C][C]0.0634333062573415[/C][/ROW]
[ROW][C]0.8[/C][C]8.19671685140363[/C][C]0.0646564427654755[/C][/ROW]
[ROW][C]0.81[/C][C]8.21193206417893[/C][C]0.0654428528620413[/C][/ROW]
[ROW][C]0.82[/C][C]8.22743875229186[/C][C]0.0655173907577318[/C][/ROW]
[ROW][C]0.83[/C][C]8.24302665264833[/C][C]0.064604035547559[/C][/ROW]
[ROW][C]0.84[/C][C]8.25841670455496[/C][C]0.0624516636829701[/C][/ROW]
[ROW][C]0.85[/C][C]8.27327755172081[/C][C]0.0589139613515279[/C][/ROW]
[ROW][C]0.86[/C][C]8.28725708372601[/C][C]0.0539662318332752[/C][/ROW]
[ROW][C]0.87[/C][C]8.30002832226312[/C][C]0.0477930488607073[/C][/ROW]
[ROW][C]0.88[/C][C]8.31134365718477[/C][C]0.0407790533295156[/C][/ROW]
[ROW][C]0.89[/C][C]8.32108555376193[/C][C]0.0334994225209078[/C][/ROW]
[ROW][C]0.9[/C][C]8.32929840119276[/C][C]0.0266269337124655[/C][/ROW]
[ROW][C]0.91[/C][C]8.33618887768078[/C][C]0.0207952278551083[/C][/ROW]
[ROW][C]0.92[/C][C]8.34209313100808[/C][C]0.016453475166687[/C][/ROW]
[ROW][C]0.93[/C][C]8.34742485006525[/C][C]0.0137374758888843[/C][/ROW]
[ROW][C]0.94[/C][C]8.35262735211507[/C][C]0.0124255954877994[/C][/ROW]
[ROW][C]0.95[/C][C]8.35813909957777[/C][C]0.0121936528138562[/C][/ROW]
[ROW][C]0.96[/C][C]8.36434014880832[/C][C]0.0127630298905037[/C][/ROW]
[ROW][C]0.97[/C][C]8.37140164546709[/C][C]0.0135181048724277[/C][/ROW]
[ROW][C]0.98[/C][C]8.37897404728589[/C][C]0.013266240288069[/C][/ROW]
[ROW][C]0.99[/C][C]8.38582588557722[/C][C]0.011494439046411[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=207073&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=207073&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
0.017.124547009162370.039767429812798
0.027.150924709444740.0556760860978481
0.037.184377763322370.0699839661821066
0.047.221300491735160.0825349943756619
0.057.259734803130340.0936386451944123
0.067.298354946548090.100597651021762
0.077.335712196331750.100607999214357
0.087.370193201485660.0933019003745323
0.097.400422893715570.0807967767092146
0.17.425663900916430.0663303026736765
0.117.445941571196830.0528175000054545
0.127.461887736013040.0420691335915001
0.137.474449595439640.0346778990612575
0.147.484617082382280.0303522003162615
0.157.493250560400970.0283766721638023
0.167.501016382873980.0280241764904793
0.177.508396995289470.0288161655311996
0.187.51573475233760.030483558046292
0.197.523279154614890.0329251455855004
0.27.531221748118760.0360925614187279
0.217.539714320458350.039895246181596
0.227.548872722702450.044182699932672
0.237.558771622971160.0487215448822624
0.247.569436113289630.0532279189488217
0.257.580835302860450.057386817502973
0.267.592881427439920.0609003284970774
0.277.605436029749160.0635246900187606
0.287.618322836287560.0651084401289545
0.297.631345437371880.0656131083805257
0.37.644307005550230.0650815536001161
0.317.657029118246950.0636632045129044
0.327.669367172455070.0615724462714619
0.337.681220679505340.0590604256362886
0.347.69253767168380.0564017475724234
0.357.703313345990910.0538459170722532
0.367.713583790376710.0516014502088043
0.377.723416130092930.049819886967711
0.387.732896691470720.0485661120059235
0.397.742118828526190.0478535826247428
0.47.751171924187730.0476026140215636
0.417.760132793949260.0477045652298213
0.427.769060318939620.0480293632596128
0.437.777993658137950.0484362834681475
0.447.786953886513940.04883790881753
0.457.795948437443660.0491520186129728
0.467.804977356909330.049374785569709
0.477.814040158701710.04953789778895
0.487.823142038975980.0496981642378078
0.497.832298370740440.0499616261580384
0.57.841536727584180.0503976735979697
0.517.850896126340160.0511085463768489
0.527.860423657361590.0521202261845608
0.537.870169110514010.0534410636464926
0.547.880178534828160.0550181213970119
0.557.890487838837860.0567592162406692
0.567.901117521630990.0585436020978223
0.577.912069425218640.0602405282655253
0.587.923326049099120.0617332546193081
0.597.934852524748860.0629196963212068
0.67.946600886116820.0637450253505834
0.617.958515875193720.0641752602967433
0.627.970541268116840.0642466125571471
0.637.982625656408850.0640039143755576
0.647.994726794146360.063536706792549
0.658.006814001261290.0629183015477556
0.668.018868618198850.0622189246018098
0.678.030883014067970.061497609630833
0.688.042859014157790.0607957618047583
0.698.054806707335430.0601158091363423
0.78.066744359257910.0594980924973962
0.718.078699634834860.0589457403670333
0.728.090711670978060.0585272617965311
0.738.102832955952170.058309238569179
0.748.115129677146790.0583742129079279
0.758.12767931589950.0587882133070647
0.768.140564766876740.0595752993238398
0.778.153864965545710.0606981017258685
0.788.167642678793730.0620434656778637
0.798.181930567620870.0634333062573415
0.88.196716851403630.0646564427654755
0.818.211932064178930.0654428528620413
0.828.227438752291860.0655173907577318
0.838.243026652648330.064604035547559
0.848.258416704554960.0624516636829701
0.858.273277551720810.0589139613515279
0.868.287257083726010.0539662318332752
0.878.300028322263120.0477930488607073
0.888.311343657184770.0407790533295156
0.898.321085553761930.0334994225209078
0.98.329298401192760.0266269337124655
0.918.336188877680780.0207952278551083
0.928.342093131008080.016453475166687
0.938.347424850065250.0137374758888843
0.948.352627352115070.0124255954877994
0.958.358139099577770.0121936528138562
0.968.364340148808320.0127630298905037
0.978.371401645467090.0135181048724277
0.988.378974047285890.013266240288069
0.998.385825885577220.011494439046411


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')