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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 computationSat, 27 Feb 2016 10:16:14 +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/27/t14565682316ra8q5mk4dsthfe.htm/, Retrieved Sat, 27 Apr 2024 11:01:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292828, Retrieved Sat, 27 Apr 2024 11:01:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

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] [] [2016-02-27 10:16:14] [c9bda892eb41b28d549a884a1978c032] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
94,65
94,16
93,91
93,21
92,81
93,55
93,03
93,25
94,24
93,23
93,52
92,05
93,42
95,15
95,12
95,46
94,92
95,63
94,96
95,1
95,22
93,77
95,01
94,87
95,01
96,68
94,94
93,9
94,83
96,27
96,51
96,69
97,47
96,41
98,68
99,3
99,22
99,7
98
98,51
98,6
98,14
99,14
98,25
99,72
99,23
101,32
101,07
101,66
103,09
102,3
100,01
98,78
99,46
99,73
99,52
98,97
97,97
99,37
99,14
99,89
100,29
99,57
101,11
101,44
100,81
101,26
99,86
100,57
100,35
101,15
101,33
102,09
101,79
102,83
102,5
102,22
102,43
102,89
102,12
103,25
103,36
103,5
103,68

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292828&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292828&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292828&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.30757198472320.585877273642885
0.0292.6364375130480.39435589489284
0.0392.89478449195430.267590593397657
0.0493.0665072110970.203493596761442
0.0593.18367704111830.18126470141611
0.0693.2756165940350.187801066487719
0.0793.35973525103690.21123593962001
0.0893.44490942174050.242034769995522
0.0993.53511404069080.2752467320788
0.193.63174760270160.309235395607575
0.1193.73497841961830.342977137013485
0.1293.8443533094150.375345733441217
0.1393.95891208395420.403951557407836
0.1494.07709723642390.425444035885652
0.1594.19670529337060.436562628177187
0.1694.31501803301770.435125534312828
0.1794.42913279389650.420638828555193
0.1894.53641759492220.395150073387866
0.1994.63496902278480.36229362640662
0.294.72395480519880.327240483536404
0.2194.80376756517480.295993133471842
0.2294.87597709377690.273755207003797
0.2394.94311977302130.265345163573468
0.2495.00838993645170.273507028904676
0.2595.07529798825610.299263232777034
0.2695.14734379027150.341080291281858
0.2795.22773383021580.396576198482315
0.2895.31915579794320.462665562928908
0.2995.42361669600250.535495336241025
0.395.54234768917260.611535797295256
0.3195.67577620041020.687259377937677
0.3295.82356064262880.758864470604587
0.3395.98467610515810.823793693121768
0.3496.15753313895240.879891724598214
0.3596.34010968131850.925329744120753
0.3696.53007957499010.959119731880779
0.3796.72492883544040.980339977597858
0.3896.92205946372780.988633248101129
0.3997.11888642151670.984097710661821
0.497.31293403828250.967055217940206
0.4197.50193377168310.938484268540478
0.4297.68391837789390.900187678077274
0.4397.85730171317320.854238599146172
0.4498.02093151456580.803088696261168
0.4598.17410566091320.749215192216773
0.4698.3165494689630.694779447152462
0.4798.4483598697480.641648740576437
0.4898.56992886267090.591203118527473
0.4998.68186137832880.544348467888444
0.598.78490110209060.501218351923033
0.5198.87987299110060.462350640174618
0.5298.96764518469830.427614329712577
0.5399.04910787071920.397166010922884
0.5499.12516385088820.371178130244934
0.5599.19672538490480.349497453658048
0.5699.2647136848620.332600531941423
0.5799.33005985203420.320207807690174
0.5899.39370772022210.312393380851974
0.5999.45661909658880.309464917769793
0.699.51978016417170.311295380044677
0.6199.58420502408630.31788761574944
0.6299.65092974596120.329649910866085
0.6399.72098921113360.346497022150801
0.6499.79537047962830.367771196874622
0.6599.87494070090120.393016438889931
0.6699.96035418397910.420780034643112
0.67100.0519508264250.44938358754395
0.68100.1496648255030.476251737838056
0.69100.2529664607990.499141689843034
0.7100.3608590338220.515469856489086
0.71100.4719467872770.523962991825904
0.72100.5845779126940.523137380333165
0.73100.6970510407160.513445308668621
0.74100.8078567100730.496210437958475
0.75100.9159111224640.473746089600445
0.76101.0207323308860.449548409662615
0.77101.1225126433470.427124183845948
0.78101.2220574778960.409660699770949
0.79101.3205892889310.399034705605642
0.8101.4194508370470.395101026015484
0.81101.5197764440350.396149574885723
0.82101.6222216550220.398900253532033
0.83101.7268396504360.399936067178587
0.84101.8331599217090.396720891586568
0.85101.9404635007820.388246555690416
0.86102.0481743242270.375806825386695
0.87102.156224735350.362155195751555
0.88102.26523584430.350749841075105
0.89102.376402381420.34393669656392
0.9102.4910825540920.341614795546297
0.91102.6102258509720.340796732462448
0.92102.7338612095430.337076578517652
0.93102.8608676030240.326384724004118
0.94102.9891778966190.306361601486958
0.95103.116501131630.27707343297361
0.96103.2415718943910.241436856789597
0.97103.3653547903050.205424741580387
0.98103.4893233439770.177916788935316
0.99103.6050353877710.169547325118896

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.3075719847232 & 0.585877273642885 \tabularnewline
0.02 & 92.636437513048 & 0.39435589489284 \tabularnewline
0.03 & 92.8947844919543 & 0.267590593397657 \tabularnewline
0.04 & 93.066507211097 & 0.203493596761442 \tabularnewline
0.05 & 93.1836770411183 & 0.18126470141611 \tabularnewline
0.06 & 93.275616594035 & 0.187801066487719 \tabularnewline
0.07 & 93.3597352510369 & 0.21123593962001 \tabularnewline
0.08 & 93.4449094217405 & 0.242034769995522 \tabularnewline
0.09 & 93.5351140406908 & 0.2752467320788 \tabularnewline
0.1 & 93.6317476027016 & 0.309235395607575 \tabularnewline
0.11 & 93.7349784196183 & 0.342977137013485 \tabularnewline
0.12 & 93.844353309415 & 0.375345733441217 \tabularnewline
0.13 & 93.9589120839542 & 0.403951557407836 \tabularnewline
0.14 & 94.0770972364239 & 0.425444035885652 \tabularnewline
0.15 & 94.1967052933706 & 0.436562628177187 \tabularnewline
0.16 & 94.3150180330177 & 0.435125534312828 \tabularnewline
0.17 & 94.4291327938965 & 0.420638828555193 \tabularnewline
0.18 & 94.5364175949222 & 0.395150073387866 \tabularnewline
0.19 & 94.6349690227848 & 0.36229362640662 \tabularnewline
0.2 & 94.7239548051988 & 0.327240483536404 \tabularnewline
0.21 & 94.8037675651748 & 0.295993133471842 \tabularnewline
0.22 & 94.8759770937769 & 0.273755207003797 \tabularnewline
0.23 & 94.9431197730213 & 0.265345163573468 \tabularnewline
0.24 & 95.0083899364517 & 0.273507028904676 \tabularnewline
0.25 & 95.0752979882561 & 0.299263232777034 \tabularnewline
0.26 & 95.1473437902715 & 0.341080291281858 \tabularnewline
0.27 & 95.2277338302158 & 0.396576198482315 \tabularnewline
0.28 & 95.3191557979432 & 0.462665562928908 \tabularnewline
0.29 & 95.4236166960025 & 0.535495336241025 \tabularnewline
0.3 & 95.5423476891726 & 0.611535797295256 \tabularnewline
0.31 & 95.6757762004102 & 0.687259377937677 \tabularnewline
0.32 & 95.8235606426288 & 0.758864470604587 \tabularnewline
0.33 & 95.9846761051581 & 0.823793693121768 \tabularnewline
0.34 & 96.1575331389524 & 0.879891724598214 \tabularnewline
0.35 & 96.3401096813185 & 0.925329744120753 \tabularnewline
0.36 & 96.5300795749901 & 0.959119731880779 \tabularnewline
0.37 & 96.7249288354404 & 0.980339977597858 \tabularnewline
0.38 & 96.9220594637278 & 0.988633248101129 \tabularnewline
0.39 & 97.1188864215167 & 0.984097710661821 \tabularnewline
0.4 & 97.3129340382825 & 0.967055217940206 \tabularnewline
0.41 & 97.5019337716831 & 0.938484268540478 \tabularnewline
0.42 & 97.6839183778939 & 0.900187678077274 \tabularnewline
0.43 & 97.8573017131732 & 0.854238599146172 \tabularnewline
0.44 & 98.0209315145658 & 0.803088696261168 \tabularnewline
0.45 & 98.1741056609132 & 0.749215192216773 \tabularnewline
0.46 & 98.316549468963 & 0.694779447152462 \tabularnewline
0.47 & 98.448359869748 & 0.641648740576437 \tabularnewline
0.48 & 98.5699288626709 & 0.591203118527473 \tabularnewline
0.49 & 98.6818613783288 & 0.544348467888444 \tabularnewline
0.5 & 98.7849011020906 & 0.501218351923033 \tabularnewline
0.51 & 98.8798729911006 & 0.462350640174618 \tabularnewline
0.52 & 98.9676451846983 & 0.427614329712577 \tabularnewline
0.53 & 99.0491078707192 & 0.397166010922884 \tabularnewline
0.54 & 99.1251638508882 & 0.371178130244934 \tabularnewline
0.55 & 99.1967253849048 & 0.349497453658048 \tabularnewline
0.56 & 99.264713684862 & 0.332600531941423 \tabularnewline
0.57 & 99.3300598520342 & 0.320207807690174 \tabularnewline
0.58 & 99.3937077202221 & 0.312393380851974 \tabularnewline
0.59 & 99.4566190965888 & 0.309464917769793 \tabularnewline
0.6 & 99.5197801641717 & 0.311295380044677 \tabularnewline
0.61 & 99.5842050240863 & 0.31788761574944 \tabularnewline
0.62 & 99.6509297459612 & 0.329649910866085 \tabularnewline
0.63 & 99.7209892111336 & 0.346497022150801 \tabularnewline
0.64 & 99.7953704796283 & 0.367771196874622 \tabularnewline
0.65 & 99.8749407009012 & 0.393016438889931 \tabularnewline
0.66 & 99.9603541839791 & 0.420780034643112 \tabularnewline
0.67 & 100.051950826425 & 0.44938358754395 \tabularnewline
0.68 & 100.149664825503 & 0.476251737838056 \tabularnewline
0.69 & 100.252966460799 & 0.499141689843034 \tabularnewline
0.7 & 100.360859033822 & 0.515469856489086 \tabularnewline
0.71 & 100.471946787277 & 0.523962991825904 \tabularnewline
0.72 & 100.584577912694 & 0.523137380333165 \tabularnewline
0.73 & 100.697051040716 & 0.513445308668621 \tabularnewline
0.74 & 100.807856710073 & 0.496210437958475 \tabularnewline
0.75 & 100.915911122464 & 0.473746089600445 \tabularnewline
0.76 & 101.020732330886 & 0.449548409662615 \tabularnewline
0.77 & 101.122512643347 & 0.427124183845948 \tabularnewline
0.78 & 101.222057477896 & 0.409660699770949 \tabularnewline
0.79 & 101.320589288931 & 0.399034705605642 \tabularnewline
0.8 & 101.419450837047 & 0.395101026015484 \tabularnewline
0.81 & 101.519776444035 & 0.396149574885723 \tabularnewline
0.82 & 101.622221655022 & 0.398900253532033 \tabularnewline
0.83 & 101.726839650436 & 0.399936067178587 \tabularnewline
0.84 & 101.833159921709 & 0.396720891586568 \tabularnewline
0.85 & 101.940463500782 & 0.388246555690416 \tabularnewline
0.86 & 102.048174324227 & 0.375806825386695 \tabularnewline
0.87 & 102.15622473535 & 0.362155195751555 \tabularnewline
0.88 & 102.2652358443 & 0.350749841075105 \tabularnewline
0.89 & 102.37640238142 & 0.34393669656392 \tabularnewline
0.9 & 102.491082554092 & 0.341614795546297 \tabularnewline
0.91 & 102.610225850972 & 0.340796732462448 \tabularnewline
0.92 & 102.733861209543 & 0.337076578517652 \tabularnewline
0.93 & 102.860867603024 & 0.326384724004118 \tabularnewline
0.94 & 102.989177896619 & 0.306361601486958 \tabularnewline
0.95 & 103.11650113163 & 0.27707343297361 \tabularnewline
0.96 & 103.241571894391 & 0.241436856789597 \tabularnewline
0.97 & 103.365354790305 & 0.205424741580387 \tabularnewline
0.98 & 103.489323343977 & 0.177916788935316 \tabularnewline
0.99 & 103.605035387771 & 0.169547325118896 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292828&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]92.3075719847232[/C][C]0.585877273642885[/C][/ROW]
[ROW][C]0.02[/C][C]92.636437513048[/C][C]0.39435589489284[/C][/ROW]
[ROW][C]0.03[/C][C]92.8947844919543[/C][C]0.267590593397657[/C][/ROW]
[ROW][C]0.04[/C][C]93.066507211097[/C][C]0.203493596761442[/C][/ROW]
[ROW][C]0.05[/C][C]93.1836770411183[/C][C]0.18126470141611[/C][/ROW]
[ROW][C]0.06[/C][C]93.275616594035[/C][C]0.187801066487719[/C][/ROW]
[ROW][C]0.07[/C][C]93.3597352510369[/C][C]0.21123593962001[/C][/ROW]
[ROW][C]0.08[/C][C]93.4449094217405[/C][C]0.242034769995522[/C][/ROW]
[ROW][C]0.09[/C][C]93.5351140406908[/C][C]0.2752467320788[/C][/ROW]
[ROW][C]0.1[/C][C]93.6317476027016[/C][C]0.309235395607575[/C][/ROW]
[ROW][C]0.11[/C][C]93.7349784196183[/C][C]0.342977137013485[/C][/ROW]
[ROW][C]0.12[/C][C]93.844353309415[/C][C]0.375345733441217[/C][/ROW]
[ROW][C]0.13[/C][C]93.9589120839542[/C][C]0.403951557407836[/C][/ROW]
[ROW][C]0.14[/C][C]94.0770972364239[/C][C]0.425444035885652[/C][/ROW]
[ROW][C]0.15[/C][C]94.1967052933706[/C][C]0.436562628177187[/C][/ROW]
[ROW][C]0.16[/C][C]94.3150180330177[/C][C]0.435125534312828[/C][/ROW]
[ROW][C]0.17[/C][C]94.4291327938965[/C][C]0.420638828555193[/C][/ROW]
[ROW][C]0.18[/C][C]94.5364175949222[/C][C]0.395150073387866[/C][/ROW]
[ROW][C]0.19[/C][C]94.6349690227848[/C][C]0.36229362640662[/C][/ROW]
[ROW][C]0.2[/C][C]94.7239548051988[/C][C]0.327240483536404[/C][/ROW]
[ROW][C]0.21[/C][C]94.8037675651748[/C][C]0.295993133471842[/C][/ROW]
[ROW][C]0.22[/C][C]94.8759770937769[/C][C]0.273755207003797[/C][/ROW]
[ROW][C]0.23[/C][C]94.9431197730213[/C][C]0.265345163573468[/C][/ROW]
[ROW][C]0.24[/C][C]95.0083899364517[/C][C]0.273507028904676[/C][/ROW]
[ROW][C]0.25[/C][C]95.0752979882561[/C][C]0.299263232777034[/C][/ROW]
[ROW][C]0.26[/C][C]95.1473437902715[/C][C]0.341080291281858[/C][/ROW]
[ROW][C]0.27[/C][C]95.2277338302158[/C][C]0.396576198482315[/C][/ROW]
[ROW][C]0.28[/C][C]95.3191557979432[/C][C]0.462665562928908[/C][/ROW]
[ROW][C]0.29[/C][C]95.4236166960025[/C][C]0.535495336241025[/C][/ROW]
[ROW][C]0.3[/C][C]95.5423476891726[/C][C]0.611535797295256[/C][/ROW]
[ROW][C]0.31[/C][C]95.6757762004102[/C][C]0.687259377937677[/C][/ROW]
[ROW][C]0.32[/C][C]95.8235606426288[/C][C]0.758864470604587[/C][/ROW]
[ROW][C]0.33[/C][C]95.9846761051581[/C][C]0.823793693121768[/C][/ROW]
[ROW][C]0.34[/C][C]96.1575331389524[/C][C]0.879891724598214[/C][/ROW]
[ROW][C]0.35[/C][C]96.3401096813185[/C][C]0.925329744120753[/C][/ROW]
[ROW][C]0.36[/C][C]96.5300795749901[/C][C]0.959119731880779[/C][/ROW]
[ROW][C]0.37[/C][C]96.7249288354404[/C][C]0.980339977597858[/C][/ROW]
[ROW][C]0.38[/C][C]96.9220594637278[/C][C]0.988633248101129[/C][/ROW]
[ROW][C]0.39[/C][C]97.1188864215167[/C][C]0.984097710661821[/C][/ROW]
[ROW][C]0.4[/C][C]97.3129340382825[/C][C]0.967055217940206[/C][/ROW]
[ROW][C]0.41[/C][C]97.5019337716831[/C][C]0.938484268540478[/C][/ROW]
[ROW][C]0.42[/C][C]97.6839183778939[/C][C]0.900187678077274[/C][/ROW]
[ROW][C]0.43[/C][C]97.8573017131732[/C][C]0.854238599146172[/C][/ROW]
[ROW][C]0.44[/C][C]98.0209315145658[/C][C]0.803088696261168[/C][/ROW]
[ROW][C]0.45[/C][C]98.1741056609132[/C][C]0.749215192216773[/C][/ROW]
[ROW][C]0.46[/C][C]98.316549468963[/C][C]0.694779447152462[/C][/ROW]
[ROW][C]0.47[/C][C]98.448359869748[/C][C]0.641648740576437[/C][/ROW]
[ROW][C]0.48[/C][C]98.5699288626709[/C][C]0.591203118527473[/C][/ROW]
[ROW][C]0.49[/C][C]98.6818613783288[/C][C]0.544348467888444[/C][/ROW]
[ROW][C]0.5[/C][C]98.7849011020906[/C][C]0.501218351923033[/C][/ROW]
[ROW][C]0.51[/C][C]98.8798729911006[/C][C]0.462350640174618[/C][/ROW]
[ROW][C]0.52[/C][C]98.9676451846983[/C][C]0.427614329712577[/C][/ROW]
[ROW][C]0.53[/C][C]99.0491078707192[/C][C]0.397166010922884[/C][/ROW]
[ROW][C]0.54[/C][C]99.1251638508882[/C][C]0.371178130244934[/C][/ROW]
[ROW][C]0.55[/C][C]99.1967253849048[/C][C]0.349497453658048[/C][/ROW]
[ROW][C]0.56[/C][C]99.264713684862[/C][C]0.332600531941423[/C][/ROW]
[ROW][C]0.57[/C][C]99.3300598520342[/C][C]0.320207807690174[/C][/ROW]
[ROW][C]0.58[/C][C]99.3937077202221[/C][C]0.312393380851974[/C][/ROW]
[ROW][C]0.59[/C][C]99.4566190965888[/C][C]0.309464917769793[/C][/ROW]
[ROW][C]0.6[/C][C]99.5197801641717[/C][C]0.311295380044677[/C][/ROW]
[ROW][C]0.61[/C][C]99.5842050240863[/C][C]0.31788761574944[/C][/ROW]
[ROW][C]0.62[/C][C]99.6509297459612[/C][C]0.329649910866085[/C][/ROW]
[ROW][C]0.63[/C][C]99.7209892111336[/C][C]0.346497022150801[/C][/ROW]
[ROW][C]0.64[/C][C]99.7953704796283[/C][C]0.367771196874622[/C][/ROW]
[ROW][C]0.65[/C][C]99.8749407009012[/C][C]0.393016438889931[/C][/ROW]
[ROW][C]0.66[/C][C]99.9603541839791[/C][C]0.420780034643112[/C][/ROW]
[ROW][C]0.67[/C][C]100.051950826425[/C][C]0.44938358754395[/C][/ROW]
[ROW][C]0.68[/C][C]100.149664825503[/C][C]0.476251737838056[/C][/ROW]
[ROW][C]0.69[/C][C]100.252966460799[/C][C]0.499141689843034[/C][/ROW]
[ROW][C]0.7[/C][C]100.360859033822[/C][C]0.515469856489086[/C][/ROW]
[ROW][C]0.71[/C][C]100.471946787277[/C][C]0.523962991825904[/C][/ROW]
[ROW][C]0.72[/C][C]100.584577912694[/C][C]0.523137380333165[/C][/ROW]
[ROW][C]0.73[/C][C]100.697051040716[/C][C]0.513445308668621[/C][/ROW]
[ROW][C]0.74[/C][C]100.807856710073[/C][C]0.496210437958475[/C][/ROW]
[ROW][C]0.75[/C][C]100.915911122464[/C][C]0.473746089600445[/C][/ROW]
[ROW][C]0.76[/C][C]101.020732330886[/C][C]0.449548409662615[/C][/ROW]
[ROW][C]0.77[/C][C]101.122512643347[/C][C]0.427124183845948[/C][/ROW]
[ROW][C]0.78[/C][C]101.222057477896[/C][C]0.409660699770949[/C][/ROW]
[ROW][C]0.79[/C][C]101.320589288931[/C][C]0.399034705605642[/C][/ROW]
[ROW][C]0.8[/C][C]101.419450837047[/C][C]0.395101026015484[/C][/ROW]
[ROW][C]0.81[/C][C]101.519776444035[/C][C]0.396149574885723[/C][/ROW]
[ROW][C]0.82[/C][C]101.622221655022[/C][C]0.398900253532033[/C][/ROW]
[ROW][C]0.83[/C][C]101.726839650436[/C][C]0.399936067178587[/C][/ROW]
[ROW][C]0.84[/C][C]101.833159921709[/C][C]0.396720891586568[/C][/ROW]
[ROW][C]0.85[/C][C]101.940463500782[/C][C]0.388246555690416[/C][/ROW]
[ROW][C]0.86[/C][C]102.048174324227[/C][C]0.375806825386695[/C][/ROW]
[ROW][C]0.87[/C][C]102.15622473535[/C][C]0.362155195751555[/C][/ROW]
[ROW][C]0.88[/C][C]102.2652358443[/C][C]0.350749841075105[/C][/ROW]
[ROW][C]0.89[/C][C]102.37640238142[/C][C]0.34393669656392[/C][/ROW]
[ROW][C]0.9[/C][C]102.491082554092[/C][C]0.341614795546297[/C][/ROW]
[ROW][C]0.91[/C][C]102.610225850972[/C][C]0.340796732462448[/C][/ROW]
[ROW][C]0.92[/C][C]102.733861209543[/C][C]0.337076578517652[/C][/ROW]
[ROW][C]0.93[/C][C]102.860867603024[/C][C]0.326384724004118[/C][/ROW]
[ROW][C]0.94[/C][C]102.989177896619[/C][C]0.306361601486958[/C][/ROW]
[ROW][C]0.95[/C][C]103.11650113163[/C][C]0.27707343297361[/C][/ROW]
[ROW][C]0.96[/C][C]103.241571894391[/C][C]0.241436856789597[/C][/ROW]
[ROW][C]0.97[/C][C]103.365354790305[/C][C]0.205424741580387[/C][/ROW]
[ROW][C]0.98[/C][C]103.489323343977[/C][C]0.177916788935316[/C][/ROW]
[ROW][C]0.99[/C][C]103.605035387771[/C][C]0.169547325118896[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292828&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292828&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
0.0192.30757198472320.585877273642885
0.0292.6364375130480.39435589489284
0.0392.89478449195430.267590593397657
0.0493.0665072110970.203493596761442
0.0593.18367704111830.18126470141611
0.0693.2756165940350.187801066487719
0.0793.35973525103690.21123593962001
0.0893.44490942174050.242034769995522
0.0993.53511404069080.2752467320788
0.193.63174760270160.309235395607575
0.1193.73497841961830.342977137013485
0.1293.8443533094150.375345733441217
0.1393.95891208395420.403951557407836
0.1494.07709723642390.425444035885652
0.1594.19670529337060.436562628177187
0.1694.31501803301770.435125534312828
0.1794.42913279389650.420638828555193
0.1894.53641759492220.395150073387866
0.1994.63496902278480.36229362640662
0.294.72395480519880.327240483536404
0.2194.80376756517480.295993133471842
0.2294.87597709377690.273755207003797
0.2394.94311977302130.265345163573468
0.2495.00838993645170.273507028904676
0.2595.07529798825610.299263232777034
0.2695.14734379027150.341080291281858
0.2795.22773383021580.396576198482315
0.2895.31915579794320.462665562928908
0.2995.42361669600250.535495336241025
0.395.54234768917260.611535797295256
0.3195.67577620041020.687259377937677
0.3295.82356064262880.758864470604587
0.3395.98467610515810.823793693121768
0.3496.15753313895240.879891724598214
0.3596.34010968131850.925329744120753
0.3696.53007957499010.959119731880779
0.3796.72492883544040.980339977597858
0.3896.92205946372780.988633248101129
0.3997.11888642151670.984097710661821
0.497.31293403828250.967055217940206
0.4197.50193377168310.938484268540478
0.4297.68391837789390.900187678077274
0.4397.85730171317320.854238599146172
0.4498.02093151456580.803088696261168
0.4598.17410566091320.749215192216773
0.4698.3165494689630.694779447152462
0.4798.4483598697480.641648740576437
0.4898.56992886267090.591203118527473
0.4998.68186137832880.544348467888444
0.598.78490110209060.501218351923033
0.5198.87987299110060.462350640174618
0.5298.96764518469830.427614329712577
0.5399.04910787071920.397166010922884
0.5499.12516385088820.371178130244934
0.5599.19672538490480.349497453658048
0.5699.2647136848620.332600531941423
0.5799.33005985203420.320207807690174
0.5899.39370772022210.312393380851974
0.5999.45661909658880.309464917769793
0.699.51978016417170.311295380044677
0.6199.58420502408630.31788761574944
0.6299.65092974596120.329649910866085
0.6399.72098921113360.346497022150801
0.6499.79537047962830.367771196874622
0.6599.87494070090120.393016438889931
0.6699.96035418397910.420780034643112
0.67100.0519508264250.44938358754395
0.68100.1496648255030.476251737838056
0.69100.2529664607990.499141689843034
0.7100.3608590338220.515469856489086
0.71100.4719467872770.523962991825904
0.72100.5845779126940.523137380333165
0.73100.6970510407160.513445308668621
0.74100.8078567100730.496210437958475
0.75100.9159111224640.473746089600445
0.76101.0207323308860.449548409662615
0.77101.1225126433470.427124183845948
0.78101.2220574778960.409660699770949
0.79101.3205892889310.399034705605642
0.8101.4194508370470.395101026015484
0.81101.5197764440350.396149574885723
0.82101.6222216550220.398900253532033
0.83101.7268396504360.399936067178587
0.84101.8331599217090.396720891586568
0.85101.9404635007820.388246555690416
0.86102.0481743242270.375806825386695
0.87102.156224735350.362155195751555
0.88102.26523584430.350749841075105
0.89102.376402381420.34393669656392
0.9102.4910825540920.341614795546297
0.91102.6102258509720.340796732462448
0.92102.7338612095430.337076578517652
0.93102.8608676030240.326384724004118
0.94102.9891778966190.306361601486958
0.95103.116501131630.27707343297361
0.96103.2415718943910.241436856789597
0.97103.3653547903050.205424741580387
0.98103.4893233439770.177916788935316
0.99103.6050353877710.169547325118896


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')