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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 computationMon, 01 Oct 2012 10:11:21 -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/2012/Oct/01/t1349100777exvh9klmi0jik1b.htm/, Retrieved Thu, 02 May 2024 18:07:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=170740, Retrieved Thu, 02 May 2024 18:07:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

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] [harrel-davis gemi...] [2012-10-01 14:11:21] [d083c6d046cc71723436dadeef11a810] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
79.49
79.69
79.86
79.87
79.83
79.83
79.83
79.37
79.53
79.78
79.94
79.97
79.97
79.98
80.25
80.38
80.13
80.15
80.15
80.18
80.47
80.83
80.62
80.66
80.66
80.67
80.8
81.04
81.24
81.26
81.26
81.47
81.94
82.83
82.29
82.32
82.32
82.3
82.54
82.54
82.62
82.63
82.63
82.63
82.71
83.25
83.14
83.34
83.34
83.37
83.33
83.26
83.66
83.64
83.64
83.71
83.87
84.17
84.35
84.44
84.44
84.45
84.67
84.95
84.89
84.93
84.93
84.93
85.45
85.77
85.79
85.9

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170740&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170740&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170740&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0179.40799903519060.107256474959385
0.0279.46694791915710.106195533355138
0.0379.53168251843570.118114278716027
0.0479.59482173155680.127471878094218
0.0579.65319078744910.125021569206232
0.0679.70464792634340.112074533048806
0.0779.74791481552730.0945937623907043
0.0879.78309469240060.0785425284078839
0.0979.81157229281090.0678299991888773
0.179.8354110806460.0637806994978716
0.1179.85671481969470.0656863826911062
0.1279.87722011964590.0713918290735157
0.1379.89815292132930.0793897399873731
0.1479.92026852282330.0885500600195538
0.1579.94397692058660.0982111190266079
0.1679.96948034715120.108416521500761
0.1779.99688367290280.118934439537799
0.1880.02626524848120.130106063445705
0.1980.05771141585160.142006413753944
0.280.09132380780360.154634179893696
0.2180.12720872182760.167954520993581
0.2280.16545635747380.182021636347718
0.2380.2061169518280.196328138721337
0.2480.24918109243750.210583729504552
0.2580.29457151079050.224237079228063
0.2680.34215203474260.237043268302607
0.2780.39175557216480.248564029874466
0.2880.44322777153630.259349298939194
0.2980.49647803238150.269609506049952
0.380.55152657181680.280631691748486
0.3180.60853631944940.293153249416203
0.3280.66782141681610.308178824379431
0.3380.72982895781840.326395070329548
0.3480.79509577962260.348116176164843
0.3580.8641862260730.373254900605889
0.3680.93761911492510.401212439333201
0.3781.01579266047050.43103094046405
0.3881.09891540340320.461576009329285
0.3981.18695001174310.490952820703912
0.481.2795756520090.517839187124042
0.4181.37617357585920.540276826692694
0.4281.47583933129010.556775800334765
0.4381.57742316294050.565839608196059
0.4481.67959746699920.566851693278691
0.4581.78094677083180.559271863395703
0.4681.88007220450240.543497030280422
0.4781.97569965679720.52046214290383
0.4882.06677953594590.491718911990383
0.4982.15256670079680.459307790887877
0.582.23267159585810.42529296805724
0.5182.30707735492040.391888493035979
0.5282.37612183243660.361384594185253
0.5382.4404474238170.335339487557572
0.5482.50092466028040.314979143170609
0.5582.55855777032350.301230984820119
0.5682.6143817988380.293807128059753
0.5782.66936163161590.292119872092025
0.5882.72430341755110.294718853430162
0.5982.77978822881310.299814418400491
0.682.83613603119930.3058174018554
0.6182.89340490686820.310896289713074
0.6282.95142604829010.313857200914322
0.6383.00986985875020.313852332819417
0.6483.06833351394680.310817958467069
0.6583.12643671189320.305090414645658
0.6683.18391102465890.297625565769541
0.6783.24066966243510.289697843930389
0.6883.2968481981640.28285013377711
0.6983.35281182479640.278349016086713
0.783.40912966392390.277321599620147
0.7183.46652038883630.28035115414136
0.7283.52577556577430.287670651320119
0.7383.58766814863360.298714481909147
0.7483.65285457279440.312747693150164
0.7583.72178083679820.328326335840673
0.7683.79460579760040.343726076395657
0.7783.87115709629390.357177749950531
0.7883.95093394101250.366824998334435
0.7984.03316377240540.371387530956692
0.884.11690606470310.370259872107434
0.8184.20117941565270.363661185751948
0.8284.28507500744380.352595927962346
0.8384.36781988883460.338466189691244
0.8484.44877435539440.322421789655206
0.8584.52738810076610.3050709390975
0.8684.60318685792140.286188105167136
0.8784.67589000766970.26549390428565
0.8884.74573915855450.243719332598788
0.8984.81402350063810.223877930699009
0.984.88362000201810.212253514555375
0.9184.95917233442060.217343233142495
0.9285.04642503072280.244069244644598
0.9385.1503833237050.286773581856545
0.9485.27254675007860.328656858756786
0.9585.4084194340460.347059513979173
0.9685.54726839250660.32319694603238
0.9785.67546218366210.255691411574899
0.9885.78165718288870.170550476081486
0.9985.85861824609280.115356274803922

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 79.4079990351906 & 0.107256474959385 \tabularnewline
0.02 & 79.4669479191571 & 0.106195533355138 \tabularnewline
0.03 & 79.5316825184357 & 0.118114278716027 \tabularnewline
0.04 & 79.5948217315568 & 0.127471878094218 \tabularnewline
0.05 & 79.6531907874491 & 0.125021569206232 \tabularnewline
0.06 & 79.7046479263434 & 0.112074533048806 \tabularnewline
0.07 & 79.7479148155273 & 0.0945937623907043 \tabularnewline
0.08 & 79.7830946924006 & 0.0785425284078839 \tabularnewline
0.09 & 79.8115722928109 & 0.0678299991888773 \tabularnewline
0.1 & 79.835411080646 & 0.0637806994978716 \tabularnewline
0.11 & 79.8567148196947 & 0.0656863826911062 \tabularnewline
0.12 & 79.8772201196459 & 0.0713918290735157 \tabularnewline
0.13 & 79.8981529213293 & 0.0793897399873731 \tabularnewline
0.14 & 79.9202685228233 & 0.0885500600195538 \tabularnewline
0.15 & 79.9439769205866 & 0.0982111190266079 \tabularnewline
0.16 & 79.9694803471512 & 0.108416521500761 \tabularnewline
0.17 & 79.9968836729028 & 0.118934439537799 \tabularnewline
0.18 & 80.0262652484812 & 0.130106063445705 \tabularnewline
0.19 & 80.0577114158516 & 0.142006413753944 \tabularnewline
0.2 & 80.0913238078036 & 0.154634179893696 \tabularnewline
0.21 & 80.1272087218276 & 0.167954520993581 \tabularnewline
0.22 & 80.1654563574738 & 0.182021636347718 \tabularnewline
0.23 & 80.206116951828 & 0.196328138721337 \tabularnewline
0.24 & 80.2491810924375 & 0.210583729504552 \tabularnewline
0.25 & 80.2945715107905 & 0.224237079228063 \tabularnewline
0.26 & 80.3421520347426 & 0.237043268302607 \tabularnewline
0.27 & 80.3917555721648 & 0.248564029874466 \tabularnewline
0.28 & 80.4432277715363 & 0.259349298939194 \tabularnewline
0.29 & 80.4964780323815 & 0.269609506049952 \tabularnewline
0.3 & 80.5515265718168 & 0.280631691748486 \tabularnewline
0.31 & 80.6085363194494 & 0.293153249416203 \tabularnewline
0.32 & 80.6678214168161 & 0.308178824379431 \tabularnewline
0.33 & 80.7298289578184 & 0.326395070329548 \tabularnewline
0.34 & 80.7950957796226 & 0.348116176164843 \tabularnewline
0.35 & 80.864186226073 & 0.373254900605889 \tabularnewline
0.36 & 80.9376191149251 & 0.401212439333201 \tabularnewline
0.37 & 81.0157926604705 & 0.43103094046405 \tabularnewline
0.38 & 81.0989154034032 & 0.461576009329285 \tabularnewline
0.39 & 81.1869500117431 & 0.490952820703912 \tabularnewline
0.4 & 81.279575652009 & 0.517839187124042 \tabularnewline
0.41 & 81.3761735758592 & 0.540276826692694 \tabularnewline
0.42 & 81.4758393312901 & 0.556775800334765 \tabularnewline
0.43 & 81.5774231629405 & 0.565839608196059 \tabularnewline
0.44 & 81.6795974669992 & 0.566851693278691 \tabularnewline
0.45 & 81.7809467708318 & 0.559271863395703 \tabularnewline
0.46 & 81.8800722045024 & 0.543497030280422 \tabularnewline
0.47 & 81.9756996567972 & 0.52046214290383 \tabularnewline
0.48 & 82.0667795359459 & 0.491718911990383 \tabularnewline
0.49 & 82.1525667007968 & 0.459307790887877 \tabularnewline
0.5 & 82.2326715958581 & 0.42529296805724 \tabularnewline
0.51 & 82.3070773549204 & 0.391888493035979 \tabularnewline
0.52 & 82.3761218324366 & 0.361384594185253 \tabularnewline
0.53 & 82.440447423817 & 0.335339487557572 \tabularnewline
0.54 & 82.5009246602804 & 0.314979143170609 \tabularnewline
0.55 & 82.5585577703235 & 0.301230984820119 \tabularnewline
0.56 & 82.614381798838 & 0.293807128059753 \tabularnewline
0.57 & 82.6693616316159 & 0.292119872092025 \tabularnewline
0.58 & 82.7243034175511 & 0.294718853430162 \tabularnewline
0.59 & 82.7797882288131 & 0.299814418400491 \tabularnewline
0.6 & 82.8361360311993 & 0.3058174018554 \tabularnewline
0.61 & 82.8934049068682 & 0.310896289713074 \tabularnewline
0.62 & 82.9514260482901 & 0.313857200914322 \tabularnewline
0.63 & 83.0098698587502 & 0.313852332819417 \tabularnewline
0.64 & 83.0683335139468 & 0.310817958467069 \tabularnewline
0.65 & 83.1264367118932 & 0.305090414645658 \tabularnewline
0.66 & 83.1839110246589 & 0.297625565769541 \tabularnewline
0.67 & 83.2406696624351 & 0.289697843930389 \tabularnewline
0.68 & 83.296848198164 & 0.28285013377711 \tabularnewline
0.69 & 83.3528118247964 & 0.278349016086713 \tabularnewline
0.7 & 83.4091296639239 & 0.277321599620147 \tabularnewline
0.71 & 83.4665203888363 & 0.28035115414136 \tabularnewline
0.72 & 83.5257755657743 & 0.287670651320119 \tabularnewline
0.73 & 83.5876681486336 & 0.298714481909147 \tabularnewline
0.74 & 83.6528545727944 & 0.312747693150164 \tabularnewline
0.75 & 83.7217808367982 & 0.328326335840673 \tabularnewline
0.76 & 83.7946057976004 & 0.343726076395657 \tabularnewline
0.77 & 83.8711570962939 & 0.357177749950531 \tabularnewline
0.78 & 83.9509339410125 & 0.366824998334435 \tabularnewline
0.79 & 84.0331637724054 & 0.371387530956692 \tabularnewline
0.8 & 84.1169060647031 & 0.370259872107434 \tabularnewline
0.81 & 84.2011794156527 & 0.363661185751948 \tabularnewline
0.82 & 84.2850750074438 & 0.352595927962346 \tabularnewline
0.83 & 84.3678198888346 & 0.338466189691244 \tabularnewline
0.84 & 84.4487743553944 & 0.322421789655206 \tabularnewline
0.85 & 84.5273881007661 & 0.3050709390975 \tabularnewline
0.86 & 84.6031868579214 & 0.286188105167136 \tabularnewline
0.87 & 84.6758900076697 & 0.26549390428565 \tabularnewline
0.88 & 84.7457391585545 & 0.243719332598788 \tabularnewline
0.89 & 84.8140235006381 & 0.223877930699009 \tabularnewline
0.9 & 84.8836200020181 & 0.212253514555375 \tabularnewline
0.91 & 84.9591723344206 & 0.217343233142495 \tabularnewline
0.92 & 85.0464250307228 & 0.244069244644598 \tabularnewline
0.93 & 85.150383323705 & 0.286773581856545 \tabularnewline
0.94 & 85.2725467500786 & 0.328656858756786 \tabularnewline
0.95 & 85.408419434046 & 0.347059513979173 \tabularnewline
0.96 & 85.5472683925066 & 0.32319694603238 \tabularnewline
0.97 & 85.6754621836621 & 0.255691411574899 \tabularnewline
0.98 & 85.7816571828887 & 0.170550476081486 \tabularnewline
0.99 & 85.8586182460928 & 0.115356274803922 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=170740&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]79.4079990351906[/C][C]0.107256474959385[/C][/ROW]
[ROW][C]0.02[/C][C]79.4669479191571[/C][C]0.106195533355138[/C][/ROW]
[ROW][C]0.03[/C][C]79.5316825184357[/C][C]0.118114278716027[/C][/ROW]
[ROW][C]0.04[/C][C]79.5948217315568[/C][C]0.127471878094218[/C][/ROW]
[ROW][C]0.05[/C][C]79.6531907874491[/C][C]0.125021569206232[/C][/ROW]
[ROW][C]0.06[/C][C]79.7046479263434[/C][C]0.112074533048806[/C][/ROW]
[ROW][C]0.07[/C][C]79.7479148155273[/C][C]0.0945937623907043[/C][/ROW]
[ROW][C]0.08[/C][C]79.7830946924006[/C][C]0.0785425284078839[/C][/ROW]
[ROW][C]0.09[/C][C]79.8115722928109[/C][C]0.0678299991888773[/C][/ROW]
[ROW][C]0.1[/C][C]79.835411080646[/C][C]0.0637806994978716[/C][/ROW]
[ROW][C]0.11[/C][C]79.8567148196947[/C][C]0.0656863826911062[/C][/ROW]
[ROW][C]0.12[/C][C]79.8772201196459[/C][C]0.0713918290735157[/C][/ROW]
[ROW][C]0.13[/C][C]79.8981529213293[/C][C]0.0793897399873731[/C][/ROW]
[ROW][C]0.14[/C][C]79.9202685228233[/C][C]0.0885500600195538[/C][/ROW]
[ROW][C]0.15[/C][C]79.9439769205866[/C][C]0.0982111190266079[/C][/ROW]
[ROW][C]0.16[/C][C]79.9694803471512[/C][C]0.108416521500761[/C][/ROW]
[ROW][C]0.17[/C][C]79.9968836729028[/C][C]0.118934439537799[/C][/ROW]
[ROW][C]0.18[/C][C]80.0262652484812[/C][C]0.130106063445705[/C][/ROW]
[ROW][C]0.19[/C][C]80.0577114158516[/C][C]0.142006413753944[/C][/ROW]
[ROW][C]0.2[/C][C]80.0913238078036[/C][C]0.154634179893696[/C][/ROW]
[ROW][C]0.21[/C][C]80.1272087218276[/C][C]0.167954520993581[/C][/ROW]
[ROW][C]0.22[/C][C]80.1654563574738[/C][C]0.182021636347718[/C][/ROW]
[ROW][C]0.23[/C][C]80.206116951828[/C][C]0.196328138721337[/C][/ROW]
[ROW][C]0.24[/C][C]80.2491810924375[/C][C]0.210583729504552[/C][/ROW]
[ROW][C]0.25[/C][C]80.2945715107905[/C][C]0.224237079228063[/C][/ROW]
[ROW][C]0.26[/C][C]80.3421520347426[/C][C]0.237043268302607[/C][/ROW]
[ROW][C]0.27[/C][C]80.3917555721648[/C][C]0.248564029874466[/C][/ROW]
[ROW][C]0.28[/C][C]80.4432277715363[/C][C]0.259349298939194[/C][/ROW]
[ROW][C]0.29[/C][C]80.4964780323815[/C][C]0.269609506049952[/C][/ROW]
[ROW][C]0.3[/C][C]80.5515265718168[/C][C]0.280631691748486[/C][/ROW]
[ROW][C]0.31[/C][C]80.6085363194494[/C][C]0.293153249416203[/C][/ROW]
[ROW][C]0.32[/C][C]80.6678214168161[/C][C]0.308178824379431[/C][/ROW]
[ROW][C]0.33[/C][C]80.7298289578184[/C][C]0.326395070329548[/C][/ROW]
[ROW][C]0.34[/C][C]80.7950957796226[/C][C]0.348116176164843[/C][/ROW]
[ROW][C]0.35[/C][C]80.864186226073[/C][C]0.373254900605889[/C][/ROW]
[ROW][C]0.36[/C][C]80.9376191149251[/C][C]0.401212439333201[/C][/ROW]
[ROW][C]0.37[/C][C]81.0157926604705[/C][C]0.43103094046405[/C][/ROW]
[ROW][C]0.38[/C][C]81.0989154034032[/C][C]0.461576009329285[/C][/ROW]
[ROW][C]0.39[/C][C]81.1869500117431[/C][C]0.490952820703912[/C][/ROW]
[ROW][C]0.4[/C][C]81.279575652009[/C][C]0.517839187124042[/C][/ROW]
[ROW][C]0.41[/C][C]81.3761735758592[/C][C]0.540276826692694[/C][/ROW]
[ROW][C]0.42[/C][C]81.4758393312901[/C][C]0.556775800334765[/C][/ROW]
[ROW][C]0.43[/C][C]81.5774231629405[/C][C]0.565839608196059[/C][/ROW]
[ROW][C]0.44[/C][C]81.6795974669992[/C][C]0.566851693278691[/C][/ROW]
[ROW][C]0.45[/C][C]81.7809467708318[/C][C]0.559271863395703[/C][/ROW]
[ROW][C]0.46[/C][C]81.8800722045024[/C][C]0.543497030280422[/C][/ROW]
[ROW][C]0.47[/C][C]81.9756996567972[/C][C]0.52046214290383[/C][/ROW]
[ROW][C]0.48[/C][C]82.0667795359459[/C][C]0.491718911990383[/C][/ROW]
[ROW][C]0.49[/C][C]82.1525667007968[/C][C]0.459307790887877[/C][/ROW]
[ROW][C]0.5[/C][C]82.2326715958581[/C][C]0.42529296805724[/C][/ROW]
[ROW][C]0.51[/C][C]82.3070773549204[/C][C]0.391888493035979[/C][/ROW]
[ROW][C]0.52[/C][C]82.3761218324366[/C][C]0.361384594185253[/C][/ROW]
[ROW][C]0.53[/C][C]82.440447423817[/C][C]0.335339487557572[/C][/ROW]
[ROW][C]0.54[/C][C]82.5009246602804[/C][C]0.314979143170609[/C][/ROW]
[ROW][C]0.55[/C][C]82.5585577703235[/C][C]0.301230984820119[/C][/ROW]
[ROW][C]0.56[/C][C]82.614381798838[/C][C]0.293807128059753[/C][/ROW]
[ROW][C]0.57[/C][C]82.6693616316159[/C][C]0.292119872092025[/C][/ROW]
[ROW][C]0.58[/C][C]82.7243034175511[/C][C]0.294718853430162[/C][/ROW]
[ROW][C]0.59[/C][C]82.7797882288131[/C][C]0.299814418400491[/C][/ROW]
[ROW][C]0.6[/C][C]82.8361360311993[/C][C]0.3058174018554[/C][/ROW]
[ROW][C]0.61[/C][C]82.8934049068682[/C][C]0.310896289713074[/C][/ROW]
[ROW][C]0.62[/C][C]82.9514260482901[/C][C]0.313857200914322[/C][/ROW]
[ROW][C]0.63[/C][C]83.0098698587502[/C][C]0.313852332819417[/C][/ROW]
[ROW][C]0.64[/C][C]83.0683335139468[/C][C]0.310817958467069[/C][/ROW]
[ROW][C]0.65[/C][C]83.1264367118932[/C][C]0.305090414645658[/C][/ROW]
[ROW][C]0.66[/C][C]83.1839110246589[/C][C]0.297625565769541[/C][/ROW]
[ROW][C]0.67[/C][C]83.2406696624351[/C][C]0.289697843930389[/C][/ROW]
[ROW][C]0.68[/C][C]83.296848198164[/C][C]0.28285013377711[/C][/ROW]
[ROW][C]0.69[/C][C]83.3528118247964[/C][C]0.278349016086713[/C][/ROW]
[ROW][C]0.7[/C][C]83.4091296639239[/C][C]0.277321599620147[/C][/ROW]
[ROW][C]0.71[/C][C]83.4665203888363[/C][C]0.28035115414136[/C][/ROW]
[ROW][C]0.72[/C][C]83.5257755657743[/C][C]0.287670651320119[/C][/ROW]
[ROW][C]0.73[/C][C]83.5876681486336[/C][C]0.298714481909147[/C][/ROW]
[ROW][C]0.74[/C][C]83.6528545727944[/C][C]0.312747693150164[/C][/ROW]
[ROW][C]0.75[/C][C]83.7217808367982[/C][C]0.328326335840673[/C][/ROW]
[ROW][C]0.76[/C][C]83.7946057976004[/C][C]0.343726076395657[/C][/ROW]
[ROW][C]0.77[/C][C]83.8711570962939[/C][C]0.357177749950531[/C][/ROW]
[ROW][C]0.78[/C][C]83.9509339410125[/C][C]0.366824998334435[/C][/ROW]
[ROW][C]0.79[/C][C]84.0331637724054[/C][C]0.371387530956692[/C][/ROW]
[ROW][C]0.8[/C][C]84.1169060647031[/C][C]0.370259872107434[/C][/ROW]
[ROW][C]0.81[/C][C]84.2011794156527[/C][C]0.363661185751948[/C][/ROW]
[ROW][C]0.82[/C][C]84.2850750074438[/C][C]0.352595927962346[/C][/ROW]
[ROW][C]0.83[/C][C]84.3678198888346[/C][C]0.338466189691244[/C][/ROW]
[ROW][C]0.84[/C][C]84.4487743553944[/C][C]0.322421789655206[/C][/ROW]
[ROW][C]0.85[/C][C]84.5273881007661[/C][C]0.3050709390975[/C][/ROW]
[ROW][C]0.86[/C][C]84.6031868579214[/C][C]0.286188105167136[/C][/ROW]
[ROW][C]0.87[/C][C]84.6758900076697[/C][C]0.26549390428565[/C][/ROW]
[ROW][C]0.88[/C][C]84.7457391585545[/C][C]0.243719332598788[/C][/ROW]
[ROW][C]0.89[/C][C]84.8140235006381[/C][C]0.223877930699009[/C][/ROW]
[ROW][C]0.9[/C][C]84.8836200020181[/C][C]0.212253514555375[/C][/ROW]
[ROW][C]0.91[/C][C]84.9591723344206[/C][C]0.217343233142495[/C][/ROW]
[ROW][C]0.92[/C][C]85.0464250307228[/C][C]0.244069244644598[/C][/ROW]
[ROW][C]0.93[/C][C]85.150383323705[/C][C]0.286773581856545[/C][/ROW]
[ROW][C]0.94[/C][C]85.2725467500786[/C][C]0.328656858756786[/C][/ROW]
[ROW][C]0.95[/C][C]85.408419434046[/C][C]0.347059513979173[/C][/ROW]
[ROW][C]0.96[/C][C]85.5472683925066[/C][C]0.32319694603238[/C][/ROW]
[ROW][C]0.97[/C][C]85.6754621836621[/C][C]0.255691411574899[/C][/ROW]
[ROW][C]0.98[/C][C]85.7816571828887[/C][C]0.170550476081486[/C][/ROW]
[ROW][C]0.99[/C][C]85.8586182460928[/C][C]0.115356274803922[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=170740&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=170740&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
0.0179.40799903519060.107256474959385
0.0279.46694791915710.106195533355138
0.0379.53168251843570.118114278716027
0.0479.59482173155680.127471878094218
0.0579.65319078744910.125021569206232
0.0679.70464792634340.112074533048806
0.0779.74791481552730.0945937623907043
0.0879.78309469240060.0785425284078839
0.0979.81157229281090.0678299991888773
0.179.8354110806460.0637806994978716
0.1179.85671481969470.0656863826911062
0.1279.87722011964590.0713918290735157
0.1379.89815292132930.0793897399873731
0.1479.92026852282330.0885500600195538
0.1579.94397692058660.0982111190266079
0.1679.96948034715120.108416521500761
0.1779.99688367290280.118934439537799
0.1880.02626524848120.130106063445705
0.1980.05771141585160.142006413753944
0.280.09132380780360.154634179893696
0.2180.12720872182760.167954520993581
0.2280.16545635747380.182021636347718
0.2380.2061169518280.196328138721337
0.2480.24918109243750.210583729504552
0.2580.29457151079050.224237079228063
0.2680.34215203474260.237043268302607
0.2780.39175557216480.248564029874466
0.2880.44322777153630.259349298939194
0.2980.49647803238150.269609506049952
0.380.55152657181680.280631691748486
0.3180.60853631944940.293153249416203
0.3280.66782141681610.308178824379431
0.3380.72982895781840.326395070329548
0.3480.79509577962260.348116176164843
0.3580.8641862260730.373254900605889
0.3680.93761911492510.401212439333201
0.3781.01579266047050.43103094046405
0.3881.09891540340320.461576009329285
0.3981.18695001174310.490952820703912
0.481.2795756520090.517839187124042
0.4181.37617357585920.540276826692694
0.4281.47583933129010.556775800334765
0.4381.57742316294050.565839608196059
0.4481.67959746699920.566851693278691
0.4581.78094677083180.559271863395703
0.4681.88007220450240.543497030280422
0.4781.97569965679720.52046214290383
0.4882.06677953594590.491718911990383
0.4982.15256670079680.459307790887877
0.582.23267159585810.42529296805724
0.5182.30707735492040.391888493035979
0.5282.37612183243660.361384594185253
0.5382.4404474238170.335339487557572
0.5482.50092466028040.314979143170609
0.5582.55855777032350.301230984820119
0.5682.6143817988380.293807128059753
0.5782.66936163161590.292119872092025
0.5882.72430341755110.294718853430162
0.5982.77978822881310.299814418400491
0.682.83613603119930.3058174018554
0.6182.89340490686820.310896289713074
0.6282.95142604829010.313857200914322
0.6383.00986985875020.313852332819417
0.6483.06833351394680.310817958467069
0.6583.12643671189320.305090414645658
0.6683.18391102465890.297625565769541
0.6783.24066966243510.289697843930389
0.6883.2968481981640.28285013377711
0.6983.35281182479640.278349016086713
0.783.40912966392390.277321599620147
0.7183.46652038883630.28035115414136
0.7283.52577556577430.287670651320119
0.7383.58766814863360.298714481909147
0.7483.65285457279440.312747693150164
0.7583.72178083679820.328326335840673
0.7683.79460579760040.343726076395657
0.7783.87115709629390.357177749950531
0.7883.95093394101250.366824998334435
0.7984.03316377240540.371387530956692
0.884.11690606470310.370259872107434
0.8184.20117941565270.363661185751948
0.8284.28507500744380.352595927962346
0.8384.36781988883460.338466189691244
0.8484.44877435539440.322421789655206
0.8584.52738810076610.3050709390975
0.8684.60318685792140.286188105167136
0.8784.67589000766970.26549390428565
0.8884.74573915855450.243719332598788
0.8984.81402350063810.223877930699009
0.984.88362000201810.212253514555375
0.9184.95917233442060.217343233142495
0.9285.04642503072280.244069244644598
0.9385.1503833237050.286773581856545
0.9485.27254675007860.328656858756786
0.9585.4084194340460.347059513979173
0.9685.54726839250660.32319694603238
0.9785.67546218366210.255691411574899
0.9885.78165718288870.170550476081486
0.9985.85861824609280.115356274803922


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')