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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 computationThu, 06 Oct 2016 22:22:42 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/06/t14757889912bsc2ejbv25aiwd.htm/, Retrieved Sat, 04 May 2024 20:24:18 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 20:24:18 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
92.64
91.48
92.65
93.91
90.49
94.56
95.11
93.07
93.26
92.92
90.9
91.77
86.16
92.79
97.45
97.74
99.92
99.46
98.52
97.92
97.85
104.94
104.55
105.35
95.75
105.99
106.11
107.33
106.11
108.17
104.62
106.71
97.86
104.41
96.09
102.41
96.3
103.04
105.11
99.4
104.45
104.31
104.06
101.16
100.82
102.6
92.78
99.68
95.14
101.28
100.03
101.17
98.93
97.77
100.24
98.05
95.82
99.19
97.42
98.02
97.34
101.23
100.16
100.72
99.8
100.39
101.82
102.95
98.8
100.24
98.4
98.15

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

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






Harrell-Davis Quantiles
quantilesvaluestandard error
086.16NA
0.0187.28970585655263.33150785654588
0.0288.7501591247932.17823968046211
0.0389.95438665848381.34477543733662
0.0490.77053553716120.93507333561518
0.0591.30569301692520.78551296658938
0.0691.68470288334310.719840202006602
0.0791.98079514670970.661026852120799
0.0892.2262695730420.596917051034355
0.0992.43557656009740.540406481233189
0.192.61900022650560.510502206282955
0.1192.78726894986610.521397918750569
0.1292.95153583593560.573977564099644
0.1393.12187482732170.658637445037272
0.1493.30585011968740.760999938606158
0.1593.50774280481170.866980533509473
0.1693.72851283397050.964663687634831
0.1793.96633947972141.04565961455323
0.1894.21749854365221.10528117834087
0.1994.47733109649821.14275913741679
0.294.74110048509651.16024146118926
0.2195.00460283876171.16214962382221
0.2295.26447691581561.15235072965067
0.2395.5182359544871.13454918890529
0.2495.76410152578791.11079430303391
0.2596.00074670582441.08133099117418
0.2696.22705145492441.04569825559018
0.2796.44194390026661.00243750582052
0.2896.64435970843330.951172651462203
0.2996.83331120976860.892279700663851
0.397.00802860533040.827251223569521
0.3197.16812239625960.758847068592523
0.3297.31371868345480.690407845821703
0.3397.4455328023450.625769953964614
0.3497.56486572955150.568224279849914
0.3597.67352601463730.521212702908257
0.3697.77369362300150.486669204674623
0.3797.86774931528350.465780960894479
0.3897.95809437194410.45814623958715
0.3998.04698222589640.462554834651323
0.498.13637793942320.476592380436518
0.4198.22785524347760.49761213374108
0.4298.32253522815210.522706704587133
0.4398.42106627166570.549113112878056
0.4498.52364149222260.57432705512313
0.4598.63004774246590.596500039399639
0.4698.73973874262690.613933862858412
0.4798.85192422863830.625935167527372
0.4898.96566690406840.631768672541816
0.4999.07997947656050.631712563710541
0.599.19391504194130.62605931311013
0.5199.30664540454110.615957727140084
0.5299.41752340296320.602414841919467
0.5399.52612677239810.586906947511313
0.5499.63228241717520.570804000914324
0.5599.73607119927740.555765838160495
0.5699.83781457263050.542989378598968
0.5799.9380457336020.533656665512697
0.58100.0374694516340.528595759567748
0.59100.1369162349470.528390721367137
0.6100.2372975865370.533207822523635
0.61100.3395692618570.542968341170918
0.62100.4447081200410.557471560378373
0.63100.5537051181950.576574761844077
0.64100.6675725106950.599964042969291
0.65100.7873582809420.62801655828905
0.66100.9141566263310.661016985706139
0.67101.0491013957460.699041025545264
0.68101.1933307487190.742323621014497
0.69101.3479160630970.790268710317685
0.7101.5137553024210.84165840758542
0.71101.691438947620.894620454493641
0.72101.8811034020850.946224262201813
0.73102.0822913650820.993382750459067
0.74102.2938409688081.03249828106836
0.75102.5138262090891.05982940688038
0.76102.7395709629441.07229185978572
0.77102.9677570872481.06732623452935
0.78103.1946415229381.0431900929675
0.79103.4163849833491.00015238496529
0.8103.6294739243370.940138846872725
0.81103.8311898926080.867345686904134
0.82104.0200524925060.787884449517235
0.83104.1961438015560.70951660030823
0.84104.3612222870540.640343599543012
0.85104.5185577774360.587751493329665
0.86104.6724647506480.556148091357214
0.87104.8275756320950.545892834120266
0.88104.9879779239230.552008464304229
0.89105.1564383510520.565954282104135
0.9105.3340367259570.57768083846675
0.91105.5205703153330.579084573605713
0.92105.7159536318690.567848240479552
0.93105.9224344359420.550880062943364
0.94106.1468547879310.544300903558403
0.95106.4017309418990.564304134154191
0.96106.7037118918160.611045434123002
0.97107.0668222857290.666025669209206
0.98107.4843991461160.71547811552301
0.99107.8958230016130.771356789363352

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0 & 86.16 & NA \tabularnewline
0.01 & 87.2897058565526 & 3.33150785654588 \tabularnewline
0.02 & 88.750159124793 & 2.17823968046211 \tabularnewline
0.03 & 89.9543866584838 & 1.34477543733662 \tabularnewline
0.04 & 90.7705355371612 & 0.93507333561518 \tabularnewline
0.05 & 91.3056930169252 & 0.78551296658938 \tabularnewline
0.06 & 91.6847028833431 & 0.719840202006602 \tabularnewline
0.07 & 91.9807951467097 & 0.661026852120799 \tabularnewline
0.08 & 92.226269573042 & 0.596917051034355 \tabularnewline
0.09 & 92.4355765600974 & 0.540406481233189 \tabularnewline
0.1 & 92.6190002265056 & 0.510502206282955 \tabularnewline
0.11 & 92.7872689498661 & 0.521397918750569 \tabularnewline
0.12 & 92.9515358359356 & 0.573977564099644 \tabularnewline
0.13 & 93.1218748273217 & 0.658637445037272 \tabularnewline
0.14 & 93.3058501196874 & 0.760999938606158 \tabularnewline
0.15 & 93.5077428048117 & 0.866980533509473 \tabularnewline
0.16 & 93.7285128339705 & 0.964663687634831 \tabularnewline
0.17 & 93.9663394797214 & 1.04565961455323 \tabularnewline
0.18 & 94.2174985436522 & 1.10528117834087 \tabularnewline
0.19 & 94.4773310964982 & 1.14275913741679 \tabularnewline
0.2 & 94.7411004850965 & 1.16024146118926 \tabularnewline
0.21 & 95.0046028387617 & 1.16214962382221 \tabularnewline
0.22 & 95.2644769158156 & 1.15235072965067 \tabularnewline
0.23 & 95.518235954487 & 1.13454918890529 \tabularnewline
0.24 & 95.7641015257879 & 1.11079430303391 \tabularnewline
0.25 & 96.0007467058244 & 1.08133099117418 \tabularnewline
0.26 & 96.2270514549244 & 1.04569825559018 \tabularnewline
0.27 & 96.4419439002666 & 1.00243750582052 \tabularnewline
0.28 & 96.6443597084333 & 0.951172651462203 \tabularnewline
0.29 & 96.8333112097686 & 0.892279700663851 \tabularnewline
0.3 & 97.0080286053304 & 0.827251223569521 \tabularnewline
0.31 & 97.1681223962596 & 0.758847068592523 \tabularnewline
0.32 & 97.3137186834548 & 0.690407845821703 \tabularnewline
0.33 & 97.445532802345 & 0.625769953964614 \tabularnewline
0.34 & 97.5648657295515 & 0.568224279849914 \tabularnewline
0.35 & 97.6735260146373 & 0.521212702908257 \tabularnewline
0.36 & 97.7736936230015 & 0.486669204674623 \tabularnewline
0.37 & 97.8677493152835 & 0.465780960894479 \tabularnewline
0.38 & 97.9580943719441 & 0.45814623958715 \tabularnewline
0.39 & 98.0469822258964 & 0.462554834651323 \tabularnewline
0.4 & 98.1363779394232 & 0.476592380436518 \tabularnewline
0.41 & 98.2278552434776 & 0.49761213374108 \tabularnewline
0.42 & 98.3225352281521 & 0.522706704587133 \tabularnewline
0.43 & 98.4210662716657 & 0.549113112878056 \tabularnewline
0.44 & 98.5236414922226 & 0.57432705512313 \tabularnewline
0.45 & 98.6300477424659 & 0.596500039399639 \tabularnewline
0.46 & 98.7397387426269 & 0.613933862858412 \tabularnewline
0.47 & 98.8519242286383 & 0.625935167527372 \tabularnewline
0.48 & 98.9656669040684 & 0.631768672541816 \tabularnewline
0.49 & 99.0799794765605 & 0.631712563710541 \tabularnewline
0.5 & 99.1939150419413 & 0.62605931311013 \tabularnewline
0.51 & 99.3066454045411 & 0.615957727140084 \tabularnewline
0.52 & 99.4175234029632 & 0.602414841919467 \tabularnewline
0.53 & 99.5261267723981 & 0.586906947511313 \tabularnewline
0.54 & 99.6322824171752 & 0.570804000914324 \tabularnewline
0.55 & 99.7360711992774 & 0.555765838160495 \tabularnewline
0.56 & 99.8378145726305 & 0.542989378598968 \tabularnewline
0.57 & 99.938045733602 & 0.533656665512697 \tabularnewline
0.58 & 100.037469451634 & 0.528595759567748 \tabularnewline
0.59 & 100.136916234947 & 0.528390721367137 \tabularnewline
0.6 & 100.237297586537 & 0.533207822523635 \tabularnewline
0.61 & 100.339569261857 & 0.542968341170918 \tabularnewline
0.62 & 100.444708120041 & 0.557471560378373 \tabularnewline
0.63 & 100.553705118195 & 0.576574761844077 \tabularnewline
0.64 & 100.667572510695 & 0.599964042969291 \tabularnewline
0.65 & 100.787358280942 & 0.62801655828905 \tabularnewline
0.66 & 100.914156626331 & 0.661016985706139 \tabularnewline
0.67 & 101.049101395746 & 0.699041025545264 \tabularnewline
0.68 & 101.193330748719 & 0.742323621014497 \tabularnewline
0.69 & 101.347916063097 & 0.790268710317685 \tabularnewline
0.7 & 101.513755302421 & 0.84165840758542 \tabularnewline
0.71 & 101.69143894762 & 0.894620454493641 \tabularnewline
0.72 & 101.881103402085 & 0.946224262201813 \tabularnewline
0.73 & 102.082291365082 & 0.993382750459067 \tabularnewline
0.74 & 102.293840968808 & 1.03249828106836 \tabularnewline
0.75 & 102.513826209089 & 1.05982940688038 \tabularnewline
0.76 & 102.739570962944 & 1.07229185978572 \tabularnewline
0.77 & 102.967757087248 & 1.06732623452935 \tabularnewline
0.78 & 103.194641522938 & 1.0431900929675 \tabularnewline
0.79 & 103.416384983349 & 1.00015238496529 \tabularnewline
0.8 & 103.629473924337 & 0.940138846872725 \tabularnewline
0.81 & 103.831189892608 & 0.867345686904134 \tabularnewline
0.82 & 104.020052492506 & 0.787884449517235 \tabularnewline
0.83 & 104.196143801556 & 0.70951660030823 \tabularnewline
0.84 & 104.361222287054 & 0.640343599543012 \tabularnewline
0.85 & 104.518557777436 & 0.587751493329665 \tabularnewline
0.86 & 104.672464750648 & 0.556148091357214 \tabularnewline
0.87 & 104.827575632095 & 0.545892834120266 \tabularnewline
0.88 & 104.987977923923 & 0.552008464304229 \tabularnewline
0.89 & 105.156438351052 & 0.565954282104135 \tabularnewline
0.9 & 105.334036725957 & 0.57768083846675 \tabularnewline
0.91 & 105.520570315333 & 0.579084573605713 \tabularnewline
0.92 & 105.715953631869 & 0.567848240479552 \tabularnewline
0.93 & 105.922434435942 & 0.550880062943364 \tabularnewline
0.94 & 106.146854787931 & 0.544300903558403 \tabularnewline
0.95 & 106.401730941899 & 0.564304134154191 \tabularnewline
0.96 & 106.703711891816 & 0.611045434123002 \tabularnewline
0.97 & 107.066822285729 & 0.666025669209206 \tabularnewline
0.98 & 107.484399146116 & 0.71547811552301 \tabularnewline
0.99 & 107.895823001613 & 0.771356789363352 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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[/C][C]86.16[/C][C]NA[/C][/ROW]
[ROW][C]0.01[/C][C]87.2897058565526[/C][C]3.33150785654588[/C][/ROW]
[ROW][C]0.02[/C][C]88.750159124793[/C][C]2.17823968046211[/C][/ROW]
[ROW][C]0.03[/C][C]89.9543866584838[/C][C]1.34477543733662[/C][/ROW]
[ROW][C]0.04[/C][C]90.7705355371612[/C][C]0.93507333561518[/C][/ROW]
[ROW][C]0.05[/C][C]91.3056930169252[/C][C]0.78551296658938[/C][/ROW]
[ROW][C]0.06[/C][C]91.6847028833431[/C][C]0.719840202006602[/C][/ROW]
[ROW][C]0.07[/C][C]91.9807951467097[/C][C]0.661026852120799[/C][/ROW]
[ROW][C]0.08[/C][C]92.226269573042[/C][C]0.596917051034355[/C][/ROW]
[ROW][C]0.09[/C][C]92.4355765600974[/C][C]0.540406481233189[/C][/ROW]
[ROW][C]0.1[/C][C]92.6190002265056[/C][C]0.510502206282955[/C][/ROW]
[ROW][C]0.11[/C][C]92.7872689498661[/C][C]0.521397918750569[/C][/ROW]
[ROW][C]0.12[/C][C]92.9515358359356[/C][C]0.573977564099644[/C][/ROW]
[ROW][C]0.13[/C][C]93.1218748273217[/C][C]0.658637445037272[/C][/ROW]
[ROW][C]0.14[/C][C]93.3058501196874[/C][C]0.760999938606158[/C][/ROW]
[ROW][C]0.15[/C][C]93.5077428048117[/C][C]0.866980533509473[/C][/ROW]
[ROW][C]0.16[/C][C]93.7285128339705[/C][C]0.964663687634831[/C][/ROW]
[ROW][C]0.17[/C][C]93.9663394797214[/C][C]1.04565961455323[/C][/ROW]
[ROW][C]0.18[/C][C]94.2174985436522[/C][C]1.10528117834087[/C][/ROW]
[ROW][C]0.19[/C][C]94.4773310964982[/C][C]1.14275913741679[/C][/ROW]
[ROW][C]0.2[/C][C]94.7411004850965[/C][C]1.16024146118926[/C][/ROW]
[ROW][C]0.21[/C][C]95.0046028387617[/C][C]1.16214962382221[/C][/ROW]
[ROW][C]0.22[/C][C]95.2644769158156[/C][C]1.15235072965067[/C][/ROW]
[ROW][C]0.23[/C][C]95.518235954487[/C][C]1.13454918890529[/C][/ROW]
[ROW][C]0.24[/C][C]95.7641015257879[/C][C]1.11079430303391[/C][/ROW]
[ROW][C]0.25[/C][C]96.0007467058244[/C][C]1.08133099117418[/C][/ROW]
[ROW][C]0.26[/C][C]96.2270514549244[/C][C]1.04569825559018[/C][/ROW]
[ROW][C]0.27[/C][C]96.4419439002666[/C][C]1.00243750582052[/C][/ROW]
[ROW][C]0.28[/C][C]96.6443597084333[/C][C]0.951172651462203[/C][/ROW]
[ROW][C]0.29[/C][C]96.8333112097686[/C][C]0.892279700663851[/C][/ROW]
[ROW][C]0.3[/C][C]97.0080286053304[/C][C]0.827251223569521[/C][/ROW]
[ROW][C]0.31[/C][C]97.1681223962596[/C][C]0.758847068592523[/C][/ROW]
[ROW][C]0.32[/C][C]97.3137186834548[/C][C]0.690407845821703[/C][/ROW]
[ROW][C]0.33[/C][C]97.445532802345[/C][C]0.625769953964614[/C][/ROW]
[ROW][C]0.34[/C][C]97.5648657295515[/C][C]0.568224279849914[/C][/ROW]
[ROW][C]0.35[/C][C]97.6735260146373[/C][C]0.521212702908257[/C][/ROW]
[ROW][C]0.36[/C][C]97.7736936230015[/C][C]0.486669204674623[/C][/ROW]
[ROW][C]0.37[/C][C]97.8677493152835[/C][C]0.465780960894479[/C][/ROW]
[ROW][C]0.38[/C][C]97.9580943719441[/C][C]0.45814623958715[/C][/ROW]
[ROW][C]0.39[/C][C]98.0469822258964[/C][C]0.462554834651323[/C][/ROW]
[ROW][C]0.4[/C][C]98.1363779394232[/C][C]0.476592380436518[/C][/ROW]
[ROW][C]0.41[/C][C]98.2278552434776[/C][C]0.49761213374108[/C][/ROW]
[ROW][C]0.42[/C][C]98.3225352281521[/C][C]0.522706704587133[/C][/ROW]
[ROW][C]0.43[/C][C]98.4210662716657[/C][C]0.549113112878056[/C][/ROW]
[ROW][C]0.44[/C][C]98.5236414922226[/C][C]0.57432705512313[/C][/ROW]
[ROW][C]0.45[/C][C]98.6300477424659[/C][C]0.596500039399639[/C][/ROW]
[ROW][C]0.46[/C][C]98.7397387426269[/C][C]0.613933862858412[/C][/ROW]
[ROW][C]0.47[/C][C]98.8519242286383[/C][C]0.625935167527372[/C][/ROW]
[ROW][C]0.48[/C][C]98.9656669040684[/C][C]0.631768672541816[/C][/ROW]
[ROW][C]0.49[/C][C]99.0799794765605[/C][C]0.631712563710541[/C][/ROW]
[ROW][C]0.5[/C][C]99.1939150419413[/C][C]0.62605931311013[/C][/ROW]
[ROW][C]0.51[/C][C]99.3066454045411[/C][C]0.615957727140084[/C][/ROW]
[ROW][C]0.52[/C][C]99.4175234029632[/C][C]0.602414841919467[/C][/ROW]
[ROW][C]0.53[/C][C]99.5261267723981[/C][C]0.586906947511313[/C][/ROW]
[ROW][C]0.54[/C][C]99.6322824171752[/C][C]0.570804000914324[/C][/ROW]
[ROW][C]0.55[/C][C]99.7360711992774[/C][C]0.555765838160495[/C][/ROW]
[ROW][C]0.56[/C][C]99.8378145726305[/C][C]0.542989378598968[/C][/ROW]
[ROW][C]0.57[/C][C]99.938045733602[/C][C]0.533656665512697[/C][/ROW]
[ROW][C]0.58[/C][C]100.037469451634[/C][C]0.528595759567748[/C][/ROW]
[ROW][C]0.59[/C][C]100.136916234947[/C][C]0.528390721367137[/C][/ROW]
[ROW][C]0.6[/C][C]100.237297586537[/C][C]0.533207822523635[/C][/ROW]
[ROW][C]0.61[/C][C]100.339569261857[/C][C]0.542968341170918[/C][/ROW]
[ROW][C]0.62[/C][C]100.444708120041[/C][C]0.557471560378373[/C][/ROW]
[ROW][C]0.63[/C][C]100.553705118195[/C][C]0.576574761844077[/C][/ROW]
[ROW][C]0.64[/C][C]100.667572510695[/C][C]0.599964042969291[/C][/ROW]
[ROW][C]0.65[/C][C]100.787358280942[/C][C]0.62801655828905[/C][/ROW]
[ROW][C]0.66[/C][C]100.914156626331[/C][C]0.661016985706139[/C][/ROW]
[ROW][C]0.67[/C][C]101.049101395746[/C][C]0.699041025545264[/C][/ROW]
[ROW][C]0.68[/C][C]101.193330748719[/C][C]0.742323621014497[/C][/ROW]
[ROW][C]0.69[/C][C]101.347916063097[/C][C]0.790268710317685[/C][/ROW]
[ROW][C]0.7[/C][C]101.513755302421[/C][C]0.84165840758542[/C][/ROW]
[ROW][C]0.71[/C][C]101.69143894762[/C][C]0.894620454493641[/C][/ROW]
[ROW][C]0.72[/C][C]101.881103402085[/C][C]0.946224262201813[/C][/ROW]
[ROW][C]0.73[/C][C]102.082291365082[/C][C]0.993382750459067[/C][/ROW]
[ROW][C]0.74[/C][C]102.293840968808[/C][C]1.03249828106836[/C][/ROW]
[ROW][C]0.75[/C][C]102.513826209089[/C][C]1.05982940688038[/C][/ROW]
[ROW][C]0.76[/C][C]102.739570962944[/C][C]1.07229185978572[/C][/ROW]
[ROW][C]0.77[/C][C]102.967757087248[/C][C]1.06732623452935[/C][/ROW]
[ROW][C]0.78[/C][C]103.194641522938[/C][C]1.0431900929675[/C][/ROW]
[ROW][C]0.79[/C][C]103.416384983349[/C][C]1.00015238496529[/C][/ROW]
[ROW][C]0.8[/C][C]103.629473924337[/C][C]0.940138846872725[/C][/ROW]
[ROW][C]0.81[/C][C]103.831189892608[/C][C]0.867345686904134[/C][/ROW]
[ROW][C]0.82[/C][C]104.020052492506[/C][C]0.787884449517235[/C][/ROW]
[ROW][C]0.83[/C][C]104.196143801556[/C][C]0.70951660030823[/C][/ROW]
[ROW][C]0.84[/C][C]104.361222287054[/C][C]0.640343599543012[/C][/ROW]
[ROW][C]0.85[/C][C]104.518557777436[/C][C]0.587751493329665[/C][/ROW]
[ROW][C]0.86[/C][C]104.672464750648[/C][C]0.556148091357214[/C][/ROW]
[ROW][C]0.87[/C][C]104.827575632095[/C][C]0.545892834120266[/C][/ROW]
[ROW][C]0.88[/C][C]104.987977923923[/C][C]0.552008464304229[/C][/ROW]
[ROW][C]0.89[/C][C]105.156438351052[/C][C]0.565954282104135[/C][/ROW]
[ROW][C]0.9[/C][C]105.334036725957[/C][C]0.57768083846675[/C][/ROW]
[ROW][C]0.91[/C][C]105.520570315333[/C][C]0.579084573605713[/C][/ROW]
[ROW][C]0.92[/C][C]105.715953631869[/C][C]0.567848240479552[/C][/ROW]
[ROW][C]0.93[/C][C]105.922434435942[/C][C]0.550880062943364[/C][/ROW]
[ROW][C]0.94[/C][C]106.146854787931[/C][C]0.544300903558403[/C][/ROW]
[ROW][C]0.95[/C][C]106.401730941899[/C][C]0.564304134154191[/C][/ROW]
[ROW][C]0.96[/C][C]106.703711891816[/C][C]0.611045434123002[/C][/ROW]
[ROW][C]0.97[/C][C]107.066822285729[/C][C]0.666025669209206[/C][/ROW]
[ROW][C]0.98[/C][C]107.484399146116[/C][C]0.71547811552301[/C][/ROW]
[ROW][C]0.99[/C][C]107.895823001613[/C][C]0.771356789363352[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
086.16NA
0.0187.28970585655263.33150785654588
0.0288.7501591247932.17823968046211
0.0389.95438665848381.34477543733662
0.0490.77053553716120.93507333561518
0.0591.30569301692520.78551296658938
0.0691.68470288334310.719840202006602
0.0791.98079514670970.661026852120799
0.0892.2262695730420.596917051034355
0.0992.43557656009740.540406481233189
0.192.61900022650560.510502206282955
0.1192.78726894986610.521397918750569
0.1292.95153583593560.573977564099644
0.1393.12187482732170.658637445037272
0.1493.30585011968740.760999938606158
0.1593.50774280481170.866980533509473
0.1693.72851283397050.964663687634831
0.1793.96633947972141.04565961455323
0.1894.21749854365221.10528117834087
0.1994.47733109649821.14275913741679
0.294.74110048509651.16024146118926
0.2195.00460283876171.16214962382221
0.2295.26447691581561.15235072965067
0.2395.5182359544871.13454918890529
0.2495.76410152578791.11079430303391
0.2596.00074670582441.08133099117418
0.2696.22705145492441.04569825559018
0.2796.44194390026661.00243750582052
0.2896.64435970843330.951172651462203
0.2996.83331120976860.892279700663851
0.397.00802860533040.827251223569521
0.3197.16812239625960.758847068592523
0.3297.31371868345480.690407845821703
0.3397.4455328023450.625769953964614
0.3497.56486572955150.568224279849914
0.3597.67352601463730.521212702908257
0.3697.77369362300150.486669204674623
0.3797.86774931528350.465780960894479
0.3897.95809437194410.45814623958715
0.3998.04698222589640.462554834651323
0.498.13637793942320.476592380436518
0.4198.22785524347760.49761213374108
0.4298.32253522815210.522706704587133
0.4398.42106627166570.549113112878056
0.4498.52364149222260.57432705512313
0.4598.63004774246590.596500039399639
0.4698.73973874262690.613933862858412
0.4798.85192422863830.625935167527372
0.4898.96566690406840.631768672541816
0.4999.07997947656050.631712563710541
0.599.19391504194130.62605931311013
0.5199.30664540454110.615957727140084
0.5299.41752340296320.602414841919467
0.5399.52612677239810.586906947511313
0.5499.63228241717520.570804000914324
0.5599.73607119927740.555765838160495
0.5699.83781457263050.542989378598968
0.5799.9380457336020.533656665512697
0.58100.0374694516340.528595759567748
0.59100.1369162349470.528390721367137
0.6100.2372975865370.533207822523635
0.61100.3395692618570.542968341170918
0.62100.4447081200410.557471560378373
0.63100.5537051181950.576574761844077
0.64100.6675725106950.599964042969291
0.65100.7873582809420.62801655828905
0.66100.9141566263310.661016985706139
0.67101.0491013957460.699041025545264
0.68101.1933307487190.742323621014497
0.69101.3479160630970.790268710317685
0.7101.5137553024210.84165840758542
0.71101.691438947620.894620454493641
0.72101.8811034020850.946224262201813
0.73102.0822913650820.993382750459067
0.74102.2938409688081.03249828106836
0.75102.5138262090891.05982940688038
0.76102.7395709629441.07229185978572
0.77102.9677570872481.06732623452935
0.78103.1946415229381.0431900929675
0.79103.4163849833491.00015238496529
0.8103.6294739243370.940138846872725
0.81103.8311898926080.867345686904134
0.82104.0200524925060.787884449517235
0.83104.1961438015560.70951660030823
0.84104.3612222870540.640343599543012
0.85104.5185577774360.587751493329665
0.86104.6724647506480.556148091357214
0.87104.8275756320950.545892834120266
0.88104.9879779239230.552008464304229
0.89105.1564383510520.565954282104135
0.9105.3340367259570.57768083846675
0.91105.5205703153330.579084573605713
0.92105.7159536318690.567848240479552
0.93105.9224344359420.550880062943364
0.94106.1468547879310.544300903558403
0.95106.4017309418990.564304134154191
0.96106.7037118918160.611045434123002
0.97107.0668222857290.666025669209206
0.98107.4843991461160.71547811552301
0.99107.8958230016130.771356789363352


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.00 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.00 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.99'
par1 <- '0.00'
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')