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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 computationFri, 26 Feb 2016 20:12:15 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Feb/26/t1456517616b3da4qohxj6pn5a.htm/, Retrieved Fri, 03 May 2024 02:11:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292791, Retrieved Fri, 03 May 2024 02:11:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56

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] [] [2016-02-26 20:12:15] [ed8c98a61958118f8b1101b2c94f1953] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96.67
96.67
96.67
96.67
96.67
96.67
96.67
96.67
96.67
96.19
96.19
96.19
96.19
96.19
96.19
96.19
96.19
96.19
96.19
96.19
96.19
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.13
99.58
99.58
99.58
99.58
99.58
99.58
99.58
99.58
99.58
99.58
99.58
99.58
101.27
101.27
101.27
101.25
101.25
101.25
101.25
101.25
101.25
101.25
101.25
101.25
102.55
102.55
102.55
102.55
102.55
102.55
102.55
102.55
102.55
102.55
102.55
102.55
132.09
132.09
132.09

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292791&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]1 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=292791&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292791&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.1900003639250
0.0296.19000379911532.3958134563976e-05
0.0396.19002255441610.00011979067281988
0.0496.19009721134540.000455204556715544
0.0596.1903348023740.00143748807383856
0.0696.19097009472340.00375789183106625
0.0796.19244240331210.0084811796356475
0.0896.19546350075710.0169348203810834
0.0996.20103848360040.0305084036970895
0.196.21040217756710.049893255274909
0.1196.22485593793710.0750138550949107
0.1296.24552969653360.104431072015922
0.1396.27313609335080.135754534539713
0.1496.30780661513420.166062903119708
0.1596.34908882357160.192860943067571
0.1696.3961385295220.214982843906478
0.1796.44807632576660.233643853083636
0.1896.50441806850970.252534699381383
0.1996.56545552017440.277733302891002
0.296.63246763399190.31587503021407
0.2196.70768259230790.371896405552634
0.2296.79397277224950.447258118193385
0.2396.89433152350080.539336296761921
0.2497.01123505120140.642102527304353
0.2597.14602248384990.746997596262112
0.2697.29842648664440.844068833097358
0.2797.46635652903370.923387415751672
0.2897.64598446016820.9764113268273
0.2997.83211958856570.997638525123946
0.398.01880244850020.984961634974957
0.3198.20000605189470.94018903751422
0.3298.37031912366710.868515647683333
0.3398.52549908607910.777446809500463
0.3498.66281780740680.67578890204457
0.3598.78116979702340.572232185260757
0.3698.88095854382290.474356922927514
0.3798.96381203089540.388119428149994
0.3899.03219753540410.317240669121389
0.3999.08900813820920.263580179740033
0.499.13718248831960.2270986127927
0.4199.17940094537680.205646000267244
0.4299.21788092872770.195761461269669
0.4399.25427634830170.193126991717735
0.4499.2896725594460.193918636466476
0.4599.32465973021550.195240448294332
0.4699.35946304264720.195559167568838
0.4799.3941065632980.194133630073048
0.4899.42858783473210.191645361528107
0.4999.46304156106040.189465944470353
0.599.49787288682050.190059056697019
0.5199.53384369555320.196232277354032
0.5299.57209925354670.211058131717837
0.5399.61412763541570.236650078020466
0.5499.66165088679320.273919773920737
0.5599.71645479945480.322087507548482
0.5699.78017309016440.379138460016136
0.5799.85405070826980.441748011032566
0.5899.93871836515580.505546426892367
0.59100.0340142085390.565612030631615
0.6100.1388869880460.616662975025196
0.61100.2514069810880.653926709786286
0.62100.3688966688890.673741111469906
0.63100.4881746570440.673936794104356
0.64100.6058870503050.65434557924146
0.65100.7188844782840.617059809281999
0.66100.8245937623320.565910908689785
0.67100.9213327175630.506334907612441
0.68101.0085244663870.444622795957521
0.69101.0867815339370.387518115493117
0.7101.1578464822260.341769176441879
0.71101.2243918404120.313322628786493
0.72101.2896960426720.306300237346112
0.73101.3572242976190.321082994921617
0.74101.4301551755420.353744322090543
0.75101.5109060327170.397567417583017
0.76101.6007217143830.444511779812872
0.77101.6993967819390.486578067119556
0.78101.8051953973380.516226430579497
0.79101.9150097474070.527600357874884
0.8102.0247575011560.517282840522696
0.81102.1299698348670.484964510487846
0.82102.226482462030.433667782929895
0.83102.3111405242560.36912094479388
0.84102.3825005857130.298837252733536
0.85102.4417061597120.231477313114689
0.86102.4940822092080.17800685303411
0.87102.5525698166310.16243896773145
0.88102.6447924970350.24324802567743
0.89102.8257890471780.499538832482311
0.9103.1969826920691.052736124899
0.91103.9267504273552.09167559660184
0.92105.2576308713793.82053833912113
0.93107.4728851413436.3171382503718
0.94110.7934326325869.30180127161711
0.95115.20629954102211.935321452895
0.96120.29855316680212.9285090505161
0.97125.2493721710411.234467943818
0.98129.1149401998447.11795719216851
0.99131.3346070690822.57639183702933

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.190000363925 & 0 \tabularnewline
0.02 & 96.1900037991153 & 2.3958134563976e-05 \tabularnewline
0.03 & 96.1900225544161 & 0.00011979067281988 \tabularnewline
0.04 & 96.1900972113454 & 0.000455204556715544 \tabularnewline
0.05 & 96.190334802374 & 0.00143748807383856 \tabularnewline
0.06 & 96.1909700947234 & 0.00375789183106625 \tabularnewline
0.07 & 96.1924424033121 & 0.0084811796356475 \tabularnewline
0.08 & 96.1954635007571 & 0.0169348203810834 \tabularnewline
0.09 & 96.2010384836004 & 0.0305084036970895 \tabularnewline
0.1 & 96.2104021775671 & 0.049893255274909 \tabularnewline
0.11 & 96.2248559379371 & 0.0750138550949107 \tabularnewline
0.12 & 96.2455296965336 & 0.104431072015922 \tabularnewline
0.13 & 96.2731360933508 & 0.135754534539713 \tabularnewline
0.14 & 96.3078066151342 & 0.166062903119708 \tabularnewline
0.15 & 96.3490888235716 & 0.192860943067571 \tabularnewline
0.16 & 96.396138529522 & 0.214982843906478 \tabularnewline
0.17 & 96.4480763257666 & 0.233643853083636 \tabularnewline
0.18 & 96.5044180685097 & 0.252534699381383 \tabularnewline
0.19 & 96.5654555201744 & 0.277733302891002 \tabularnewline
0.2 & 96.6324676339919 & 0.31587503021407 \tabularnewline
0.21 & 96.7076825923079 & 0.371896405552634 \tabularnewline
0.22 & 96.7939727722495 & 0.447258118193385 \tabularnewline
0.23 & 96.8943315235008 & 0.539336296761921 \tabularnewline
0.24 & 97.0112350512014 & 0.642102527304353 \tabularnewline
0.25 & 97.1460224838499 & 0.746997596262112 \tabularnewline
0.26 & 97.2984264866444 & 0.844068833097358 \tabularnewline
0.27 & 97.4663565290337 & 0.923387415751672 \tabularnewline
0.28 & 97.6459844601682 & 0.9764113268273 \tabularnewline
0.29 & 97.8321195885657 & 0.997638525123946 \tabularnewline
0.3 & 98.0188024485002 & 0.984961634974957 \tabularnewline
0.31 & 98.2000060518947 & 0.94018903751422 \tabularnewline
0.32 & 98.3703191236671 & 0.868515647683333 \tabularnewline
0.33 & 98.5254990860791 & 0.777446809500463 \tabularnewline
0.34 & 98.6628178074068 & 0.67578890204457 \tabularnewline
0.35 & 98.7811697970234 & 0.572232185260757 \tabularnewline
0.36 & 98.8809585438229 & 0.474356922927514 \tabularnewline
0.37 & 98.9638120308954 & 0.388119428149994 \tabularnewline
0.38 & 99.0321975354041 & 0.317240669121389 \tabularnewline
0.39 & 99.0890081382092 & 0.263580179740033 \tabularnewline
0.4 & 99.1371824883196 & 0.2270986127927 \tabularnewline
0.41 & 99.1794009453768 & 0.205646000267244 \tabularnewline
0.42 & 99.2178809287277 & 0.195761461269669 \tabularnewline
0.43 & 99.2542763483017 & 0.193126991717735 \tabularnewline
0.44 & 99.289672559446 & 0.193918636466476 \tabularnewline
0.45 & 99.3246597302155 & 0.195240448294332 \tabularnewline
0.46 & 99.3594630426472 & 0.195559167568838 \tabularnewline
0.47 & 99.394106563298 & 0.194133630073048 \tabularnewline
0.48 & 99.4285878347321 & 0.191645361528107 \tabularnewline
0.49 & 99.4630415610604 & 0.189465944470353 \tabularnewline
0.5 & 99.4978728868205 & 0.190059056697019 \tabularnewline
0.51 & 99.5338436955532 & 0.196232277354032 \tabularnewline
0.52 & 99.5720992535467 & 0.211058131717837 \tabularnewline
0.53 & 99.6141276354157 & 0.236650078020466 \tabularnewline
0.54 & 99.6616508867932 & 0.273919773920737 \tabularnewline
0.55 & 99.7164547994548 & 0.322087507548482 \tabularnewline
0.56 & 99.7801730901644 & 0.379138460016136 \tabularnewline
0.57 & 99.8540507082698 & 0.441748011032566 \tabularnewline
0.58 & 99.9387183651558 & 0.505546426892367 \tabularnewline
0.59 & 100.034014208539 & 0.565612030631615 \tabularnewline
0.6 & 100.138886988046 & 0.616662975025196 \tabularnewline
0.61 & 100.251406981088 & 0.653926709786286 \tabularnewline
0.62 & 100.368896668889 & 0.673741111469906 \tabularnewline
0.63 & 100.488174657044 & 0.673936794104356 \tabularnewline
0.64 & 100.605887050305 & 0.65434557924146 \tabularnewline
0.65 & 100.718884478284 & 0.617059809281999 \tabularnewline
0.66 & 100.824593762332 & 0.565910908689785 \tabularnewline
0.67 & 100.921332717563 & 0.506334907612441 \tabularnewline
0.68 & 101.008524466387 & 0.444622795957521 \tabularnewline
0.69 & 101.086781533937 & 0.387518115493117 \tabularnewline
0.7 & 101.157846482226 & 0.341769176441879 \tabularnewline
0.71 & 101.224391840412 & 0.313322628786493 \tabularnewline
0.72 & 101.289696042672 & 0.306300237346112 \tabularnewline
0.73 & 101.357224297619 & 0.321082994921617 \tabularnewline
0.74 & 101.430155175542 & 0.353744322090543 \tabularnewline
0.75 & 101.510906032717 & 0.397567417583017 \tabularnewline
0.76 & 101.600721714383 & 0.444511779812872 \tabularnewline
0.77 & 101.699396781939 & 0.486578067119556 \tabularnewline
0.78 & 101.805195397338 & 0.516226430579497 \tabularnewline
0.79 & 101.915009747407 & 0.527600357874884 \tabularnewline
0.8 & 102.024757501156 & 0.517282840522696 \tabularnewline
0.81 & 102.129969834867 & 0.484964510487846 \tabularnewline
0.82 & 102.22648246203 & 0.433667782929895 \tabularnewline
0.83 & 102.311140524256 & 0.36912094479388 \tabularnewline
0.84 & 102.382500585713 & 0.298837252733536 \tabularnewline
0.85 & 102.441706159712 & 0.231477313114689 \tabularnewline
0.86 & 102.494082209208 & 0.17800685303411 \tabularnewline
0.87 & 102.552569816631 & 0.16243896773145 \tabularnewline
0.88 & 102.644792497035 & 0.24324802567743 \tabularnewline
0.89 & 102.825789047178 & 0.499538832482311 \tabularnewline
0.9 & 103.196982692069 & 1.052736124899 \tabularnewline
0.91 & 103.926750427355 & 2.09167559660184 \tabularnewline
0.92 & 105.257630871379 & 3.82053833912113 \tabularnewline
0.93 & 107.472885141343 & 6.3171382503718 \tabularnewline
0.94 & 110.793432632586 & 9.30180127161711 \tabularnewline
0.95 & 115.206299541022 & 11.935321452895 \tabularnewline
0.96 & 120.298553166802 & 12.9285090505161 \tabularnewline
0.97 & 125.24937217104 & 11.234467943818 \tabularnewline
0.98 & 129.114940199844 & 7.11795719216851 \tabularnewline
0.99 & 131.334607069082 & 2.57639183702933 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292791&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]96.190000363925[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]96.1900037991153[/C][C]2.3958134563976e-05[/C][/ROW]
[ROW][C]0.03[/C][C]96.1900225544161[/C][C]0.00011979067281988[/C][/ROW]
[ROW][C]0.04[/C][C]96.1900972113454[/C][C]0.000455204556715544[/C][/ROW]
[ROW][C]0.05[/C][C]96.190334802374[/C][C]0.00143748807383856[/C][/ROW]
[ROW][C]0.06[/C][C]96.1909700947234[/C][C]0.00375789183106625[/C][/ROW]
[ROW][C]0.07[/C][C]96.1924424033121[/C][C]0.0084811796356475[/C][/ROW]
[ROW][C]0.08[/C][C]96.1954635007571[/C][C]0.0169348203810834[/C][/ROW]
[ROW][C]0.09[/C][C]96.2010384836004[/C][C]0.0305084036970895[/C][/ROW]
[ROW][C]0.1[/C][C]96.2104021775671[/C][C]0.049893255274909[/C][/ROW]
[ROW][C]0.11[/C][C]96.2248559379371[/C][C]0.0750138550949107[/C][/ROW]
[ROW][C]0.12[/C][C]96.2455296965336[/C][C]0.104431072015922[/C][/ROW]
[ROW][C]0.13[/C][C]96.2731360933508[/C][C]0.135754534539713[/C][/ROW]
[ROW][C]0.14[/C][C]96.3078066151342[/C][C]0.166062903119708[/C][/ROW]
[ROW][C]0.15[/C][C]96.3490888235716[/C][C]0.192860943067571[/C][/ROW]
[ROW][C]0.16[/C][C]96.396138529522[/C][C]0.214982843906478[/C][/ROW]
[ROW][C]0.17[/C][C]96.4480763257666[/C][C]0.233643853083636[/C][/ROW]
[ROW][C]0.18[/C][C]96.5044180685097[/C][C]0.252534699381383[/C][/ROW]
[ROW][C]0.19[/C][C]96.5654555201744[/C][C]0.277733302891002[/C][/ROW]
[ROW][C]0.2[/C][C]96.6324676339919[/C][C]0.31587503021407[/C][/ROW]
[ROW][C]0.21[/C][C]96.7076825923079[/C][C]0.371896405552634[/C][/ROW]
[ROW][C]0.22[/C][C]96.7939727722495[/C][C]0.447258118193385[/C][/ROW]
[ROW][C]0.23[/C][C]96.8943315235008[/C][C]0.539336296761921[/C][/ROW]
[ROW][C]0.24[/C][C]97.0112350512014[/C][C]0.642102527304353[/C][/ROW]
[ROW][C]0.25[/C][C]97.1460224838499[/C][C]0.746997596262112[/C][/ROW]
[ROW][C]0.26[/C][C]97.2984264866444[/C][C]0.844068833097358[/C][/ROW]
[ROW][C]0.27[/C][C]97.4663565290337[/C][C]0.923387415751672[/C][/ROW]
[ROW][C]0.28[/C][C]97.6459844601682[/C][C]0.9764113268273[/C][/ROW]
[ROW][C]0.29[/C][C]97.8321195885657[/C][C]0.997638525123946[/C][/ROW]
[ROW][C]0.3[/C][C]98.0188024485002[/C][C]0.984961634974957[/C][/ROW]
[ROW][C]0.31[/C][C]98.2000060518947[/C][C]0.94018903751422[/C][/ROW]
[ROW][C]0.32[/C][C]98.3703191236671[/C][C]0.868515647683333[/C][/ROW]
[ROW][C]0.33[/C][C]98.5254990860791[/C][C]0.777446809500463[/C][/ROW]
[ROW][C]0.34[/C][C]98.6628178074068[/C][C]0.67578890204457[/C][/ROW]
[ROW][C]0.35[/C][C]98.7811697970234[/C][C]0.572232185260757[/C][/ROW]
[ROW][C]0.36[/C][C]98.8809585438229[/C][C]0.474356922927514[/C][/ROW]
[ROW][C]0.37[/C][C]98.9638120308954[/C][C]0.388119428149994[/C][/ROW]
[ROW][C]0.38[/C][C]99.0321975354041[/C][C]0.317240669121389[/C][/ROW]
[ROW][C]0.39[/C][C]99.0890081382092[/C][C]0.263580179740033[/C][/ROW]
[ROW][C]0.4[/C][C]99.1371824883196[/C][C]0.2270986127927[/C][/ROW]
[ROW][C]0.41[/C][C]99.1794009453768[/C][C]0.205646000267244[/C][/ROW]
[ROW][C]0.42[/C][C]99.2178809287277[/C][C]0.195761461269669[/C][/ROW]
[ROW][C]0.43[/C][C]99.2542763483017[/C][C]0.193126991717735[/C][/ROW]
[ROW][C]0.44[/C][C]99.289672559446[/C][C]0.193918636466476[/C][/ROW]
[ROW][C]0.45[/C][C]99.3246597302155[/C][C]0.195240448294332[/C][/ROW]
[ROW][C]0.46[/C][C]99.3594630426472[/C][C]0.195559167568838[/C][/ROW]
[ROW][C]0.47[/C][C]99.394106563298[/C][C]0.194133630073048[/C][/ROW]
[ROW][C]0.48[/C][C]99.4285878347321[/C][C]0.191645361528107[/C][/ROW]
[ROW][C]0.49[/C][C]99.4630415610604[/C][C]0.189465944470353[/C][/ROW]
[ROW][C]0.5[/C][C]99.4978728868205[/C][C]0.190059056697019[/C][/ROW]
[ROW][C]0.51[/C][C]99.5338436955532[/C][C]0.196232277354032[/C][/ROW]
[ROW][C]0.52[/C][C]99.5720992535467[/C][C]0.211058131717837[/C][/ROW]
[ROW][C]0.53[/C][C]99.6141276354157[/C][C]0.236650078020466[/C][/ROW]
[ROW][C]0.54[/C][C]99.6616508867932[/C][C]0.273919773920737[/C][/ROW]
[ROW][C]0.55[/C][C]99.7164547994548[/C][C]0.322087507548482[/C][/ROW]
[ROW][C]0.56[/C][C]99.7801730901644[/C][C]0.379138460016136[/C][/ROW]
[ROW][C]0.57[/C][C]99.8540507082698[/C][C]0.441748011032566[/C][/ROW]
[ROW][C]0.58[/C][C]99.9387183651558[/C][C]0.505546426892367[/C][/ROW]
[ROW][C]0.59[/C][C]100.034014208539[/C][C]0.565612030631615[/C][/ROW]
[ROW][C]0.6[/C][C]100.138886988046[/C][C]0.616662975025196[/C][/ROW]
[ROW][C]0.61[/C][C]100.251406981088[/C][C]0.653926709786286[/C][/ROW]
[ROW][C]0.62[/C][C]100.368896668889[/C][C]0.673741111469906[/C][/ROW]
[ROW][C]0.63[/C][C]100.488174657044[/C][C]0.673936794104356[/C][/ROW]
[ROW][C]0.64[/C][C]100.605887050305[/C][C]0.65434557924146[/C][/ROW]
[ROW][C]0.65[/C][C]100.718884478284[/C][C]0.617059809281999[/C][/ROW]
[ROW][C]0.66[/C][C]100.824593762332[/C][C]0.565910908689785[/C][/ROW]
[ROW][C]0.67[/C][C]100.921332717563[/C][C]0.506334907612441[/C][/ROW]
[ROW][C]0.68[/C][C]101.008524466387[/C][C]0.444622795957521[/C][/ROW]
[ROW][C]0.69[/C][C]101.086781533937[/C][C]0.387518115493117[/C][/ROW]
[ROW][C]0.7[/C][C]101.157846482226[/C][C]0.341769176441879[/C][/ROW]
[ROW][C]0.71[/C][C]101.224391840412[/C][C]0.313322628786493[/C][/ROW]
[ROW][C]0.72[/C][C]101.289696042672[/C][C]0.306300237346112[/C][/ROW]
[ROW][C]0.73[/C][C]101.357224297619[/C][C]0.321082994921617[/C][/ROW]
[ROW][C]0.74[/C][C]101.430155175542[/C][C]0.353744322090543[/C][/ROW]
[ROW][C]0.75[/C][C]101.510906032717[/C][C]0.397567417583017[/C][/ROW]
[ROW][C]0.76[/C][C]101.600721714383[/C][C]0.444511779812872[/C][/ROW]
[ROW][C]0.77[/C][C]101.699396781939[/C][C]0.486578067119556[/C][/ROW]
[ROW][C]0.78[/C][C]101.805195397338[/C][C]0.516226430579497[/C][/ROW]
[ROW][C]0.79[/C][C]101.915009747407[/C][C]0.527600357874884[/C][/ROW]
[ROW][C]0.8[/C][C]102.024757501156[/C][C]0.517282840522696[/C][/ROW]
[ROW][C]0.81[/C][C]102.129969834867[/C][C]0.484964510487846[/C][/ROW]
[ROW][C]0.82[/C][C]102.22648246203[/C][C]0.433667782929895[/C][/ROW]
[ROW][C]0.83[/C][C]102.311140524256[/C][C]0.36912094479388[/C][/ROW]
[ROW][C]0.84[/C][C]102.382500585713[/C][C]0.298837252733536[/C][/ROW]
[ROW][C]0.85[/C][C]102.441706159712[/C][C]0.231477313114689[/C][/ROW]
[ROW][C]0.86[/C][C]102.494082209208[/C][C]0.17800685303411[/C][/ROW]
[ROW][C]0.87[/C][C]102.552569816631[/C][C]0.16243896773145[/C][/ROW]
[ROW][C]0.88[/C][C]102.644792497035[/C][C]0.24324802567743[/C][/ROW]
[ROW][C]0.89[/C][C]102.825789047178[/C][C]0.499538832482311[/C][/ROW]
[ROW][C]0.9[/C][C]103.196982692069[/C][C]1.052736124899[/C][/ROW]
[ROW][C]0.91[/C][C]103.926750427355[/C][C]2.09167559660184[/C][/ROW]
[ROW][C]0.92[/C][C]105.257630871379[/C][C]3.82053833912113[/C][/ROW]
[ROW][C]0.93[/C][C]107.472885141343[/C][C]6.3171382503718[/C][/ROW]
[ROW][C]0.94[/C][C]110.793432632586[/C][C]9.30180127161711[/C][/ROW]
[ROW][C]0.95[/C][C]115.206299541022[/C][C]11.935321452895[/C][/ROW]
[ROW][C]0.96[/C][C]120.298553166802[/C][C]12.9285090505161[/C][/ROW]
[ROW][C]0.97[/C][C]125.24937217104[/C][C]11.234467943818[/C][/ROW]
[ROW][C]0.98[/C][C]129.114940199844[/C][C]7.11795719216851[/C][/ROW]
[ROW][C]0.99[/C][C]131.334607069082[/C][C]2.57639183702933[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292791&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292791&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
0.0196.1900003639250
0.0296.19000379911532.3958134563976e-05
0.0396.19002255441610.00011979067281988
0.0496.19009721134540.000455204556715544
0.0596.1903348023740.00143748807383856
0.0696.19097009472340.00375789183106625
0.0796.19244240331210.0084811796356475
0.0896.19546350075710.0169348203810834
0.0996.20103848360040.0305084036970895
0.196.21040217756710.049893255274909
0.1196.22485593793710.0750138550949107
0.1296.24552969653360.104431072015922
0.1396.27313609335080.135754534539713
0.1496.30780661513420.166062903119708
0.1596.34908882357160.192860943067571
0.1696.3961385295220.214982843906478
0.1796.44807632576660.233643853083636
0.1896.50441806850970.252534699381383
0.1996.56545552017440.277733302891002
0.296.63246763399190.31587503021407
0.2196.70768259230790.371896405552634
0.2296.79397277224950.447258118193385
0.2396.89433152350080.539336296761921
0.2497.01123505120140.642102527304353
0.2597.14602248384990.746997596262112
0.2697.29842648664440.844068833097358
0.2797.46635652903370.923387415751672
0.2897.64598446016820.9764113268273
0.2997.83211958856570.997638525123946
0.398.01880244850020.984961634974957
0.3198.20000605189470.94018903751422
0.3298.37031912366710.868515647683333
0.3398.52549908607910.777446809500463
0.3498.66281780740680.67578890204457
0.3598.78116979702340.572232185260757
0.3698.88095854382290.474356922927514
0.3798.96381203089540.388119428149994
0.3899.03219753540410.317240669121389
0.3999.08900813820920.263580179740033
0.499.13718248831960.2270986127927
0.4199.17940094537680.205646000267244
0.4299.21788092872770.195761461269669
0.4399.25427634830170.193126991717735
0.4499.2896725594460.193918636466476
0.4599.32465973021550.195240448294332
0.4699.35946304264720.195559167568838
0.4799.3941065632980.194133630073048
0.4899.42858783473210.191645361528107
0.4999.46304156106040.189465944470353
0.599.49787288682050.190059056697019
0.5199.53384369555320.196232277354032
0.5299.57209925354670.211058131717837
0.5399.61412763541570.236650078020466
0.5499.66165088679320.273919773920737
0.5599.71645479945480.322087507548482
0.5699.78017309016440.379138460016136
0.5799.85405070826980.441748011032566
0.5899.93871836515580.505546426892367
0.59100.0340142085390.565612030631615
0.6100.1388869880460.616662975025196
0.61100.2514069810880.653926709786286
0.62100.3688966688890.673741111469906
0.63100.4881746570440.673936794104356
0.64100.6058870503050.65434557924146
0.65100.7188844782840.617059809281999
0.66100.8245937623320.565910908689785
0.67100.9213327175630.506334907612441
0.68101.0085244663870.444622795957521
0.69101.0867815339370.387518115493117
0.7101.1578464822260.341769176441879
0.71101.2243918404120.313322628786493
0.72101.2896960426720.306300237346112
0.73101.3572242976190.321082994921617
0.74101.4301551755420.353744322090543
0.75101.5109060327170.397567417583017
0.76101.6007217143830.444511779812872
0.77101.6993967819390.486578067119556
0.78101.8051953973380.516226430579497
0.79101.9150097474070.527600357874884
0.8102.0247575011560.517282840522696
0.81102.1299698348670.484964510487846
0.82102.226482462030.433667782929895
0.83102.3111405242560.36912094479388
0.84102.3825005857130.298837252733536
0.85102.4417061597120.231477313114689
0.86102.4940822092080.17800685303411
0.87102.5525698166310.16243896773145
0.88102.6447924970350.24324802567743
0.89102.8257890471780.499538832482311
0.9103.1969826920691.052736124899
0.91103.9267504273552.09167559660184
0.92105.2576308713793.82053833912113
0.93107.4728851413436.3171382503718
0.94110.7934326325869.30180127161711
0.95115.20629954102211.935321452895
0.96120.29855316680212.9285090505161
0.97125.2493721710411.234467943818
0.98129.1149401998447.11795719216851
0.99131.3346070690822.57639183702933


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')