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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 09 Oct 2012 09:29:09 -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/09/t1349789369uwqb6b5xol2lio2.htm/, Retrieved Wed, 01 May 2024 20:30:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174603, Retrieved Wed, 01 May 2024 20:30:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57

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] [] [2012-10-09 13:29:09] [44b559b455558ce8185c1073291404e7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98,68
99,21
99,36
100,72
102,27
102,62
102,97
102,88
102,9
103,01
103,02
103,73
104,18
103,73
103,78
103,61
103,84
103,86
104,14
104,05
104,01
104,49
104,83
104,78
104,95
105,28
105,28
105,91
106,81
106,39
107,02
106,92
107,01
106,79
107,41
107,13
107,54
108,48
108,5
108,27
109,42
110,09
109,98
109,99
109,54
108,85
106,76
107,56
106,24
108,85
111,11
111,85
110,68
106,96
106,74
105,73
105,66
104,01
106,86
108,84
110,66
106,93
103,74
101,64
102,17
101,13
100,64
100,43
99,77
99,79
99,47
99,63

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=174603&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=174603&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174603&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
0.0198.82847615594970.429823720046844
0.0299.03242401916250.320935037607966
0.0399.22017356925220.256160853600345
0.0499.37375778990610.24783612657512
0.0599.50590698125340.280041337049378
0.0699.63381825003290.337174488837518
0.0799.7694460429950.409483439836612
0.0899.91911555473710.489275504140934
0.09100.0852175908130.569617244995144
0.1100.2675963268790.645291265927427
0.11100.4644734920360.71310811915863
0.12100.673083116450.77087840994462
0.13100.8900830160830.816787829578332
0.14101.1117849335930.848516615054973
0.15101.3342939448150.863544020479933
0.16101.5536663253840.860675581152237
0.17101.7661490883630.840436960640068
0.18101.9684866414480.805273534306747
0.19102.1582201616660.75911655926795
0.2102.3338911748280.707303072264938
0.21102.495089396130.654917080252835
0.22102.6423343362760.605953520680447
0.23102.7768268023040.563234141623494
0.24102.9001351610430.527779430415705
0.25103.0138877924870.49888987414167
0.26103.1195310361040.474720368753506
0.27103.2181883080310.453306501867965
0.28103.3106287560510.432434840225236
0.29103.3973295440870.411040427943271
0.3103.4785993392770.388821737664213
0.31103.5547240358880.366421715718116
0.32103.6260988135730.345291946951046
0.33103.6933207384750.32745108235434
0.34103.7572294898490.314350755996416
0.35103.8188966210930.307972353077883
0.36103.8795732554370.309122745182355
0.37103.9406110647420.318475863181729
0.38104.0033720972330.335461520739371
0.39104.069140806820.359096625667852
0.4104.1390480678810.388233442227606
0.41104.2140132919680.421354858406785
0.42104.2947076489190.457052363426177
0.43104.381538922750.493675273623751
0.44104.4746564850730.529721434460474
0.45104.5739730268240.564266311955073
0.46104.6791980408630.596166136553859
0.47104.7898768274570.624750978799602
0.48104.905428370860.649746150043803
0.49105.0251761235740.670607219234764
0.5105.1483676230830.687216219171231
0.51105.2741817244270.69917214535838
0.52105.4017255346380.706121247177392
0.53105.5300261768560.707789604165796
0.54105.6580245811340.703426067154963
0.55105.7845790547980.692593921831318
0.56105.9084851974010.674889967779986
0.57106.0285159456190.650239364984413
0.58106.1434816825060.61872338134845
0.59106.2523062135070.581391588891143
0.6106.3541108860490.53921434302724
0.61106.4482969836810.493953126324071
0.62106.5346162186480.447590932539278
0.63106.6132206909710.402520484970837
0.64106.6846866286660.360974800152793
0.65106.7500097802450.325418082207548
0.66106.8105735867310.297903816374955
0.67106.8680934575060.280465348892339
0.68106.9245412358470.274386948963226
0.69106.9820533944940.280325690012431
0.7107.0428252619380.298104697617433
0.71107.1089925906970.326579695817988
0.72107.1825020643190.363912001687744
0.73107.264974700270.40765147012223
0.74107.3575707907630.455061427326551
0.75107.4608714282740.50288224765972
0.76107.5747981224730.547515516486197
0.77107.6985958402880.585714552392638
0.78107.8309027230460.614571278669073
0.79107.9699188982640.632069438935297
0.8108.1136662335610.637853191866778
0.81108.2603030688010.63309129206074
0.82108.4084298923420.620652909812978
0.83108.5573046552050.604553569697927
0.84108.7068924418390.588956146519927
0.85108.8577123449740.576856779332364
0.86109.0105128346230.568949833222444
0.87109.1658869743920.563235774971052
0.88109.3239938366920.556103104046702
0.89109.4845384410420.544109295524534
0.9109.6470560204420.525894557768269
0.91109.8113843064460.503342399808802
0.92109.9781115043210.48047785833857
0.93110.1489211320110.460681793686693
0.94110.3271634660560.444192099201477
0.95110.5193167997560.431017126654772
0.96110.7371957031610.42862216043799
0.97110.9971194271110.455366364746391
0.98111.3059876523250.528078721709207
0.99111.626276641780.63776170487932

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.8284761559497 & 0.429823720046844 \tabularnewline
0.02 & 99.0324240191625 & 0.320935037607966 \tabularnewline
0.03 & 99.2201735692522 & 0.256160853600345 \tabularnewline
0.04 & 99.3737577899061 & 0.24783612657512 \tabularnewline
0.05 & 99.5059069812534 & 0.280041337049378 \tabularnewline
0.06 & 99.6338182500329 & 0.337174488837518 \tabularnewline
0.07 & 99.769446042995 & 0.409483439836612 \tabularnewline
0.08 & 99.9191155547371 & 0.489275504140934 \tabularnewline
0.09 & 100.085217590813 & 0.569617244995144 \tabularnewline
0.1 & 100.267596326879 & 0.645291265927427 \tabularnewline
0.11 & 100.464473492036 & 0.71310811915863 \tabularnewline
0.12 & 100.67308311645 & 0.77087840994462 \tabularnewline
0.13 & 100.890083016083 & 0.816787829578332 \tabularnewline
0.14 & 101.111784933593 & 0.848516615054973 \tabularnewline
0.15 & 101.334293944815 & 0.863544020479933 \tabularnewline
0.16 & 101.553666325384 & 0.860675581152237 \tabularnewline
0.17 & 101.766149088363 & 0.840436960640068 \tabularnewline
0.18 & 101.968486641448 & 0.805273534306747 \tabularnewline
0.19 & 102.158220161666 & 0.75911655926795 \tabularnewline
0.2 & 102.333891174828 & 0.707303072264938 \tabularnewline
0.21 & 102.49508939613 & 0.654917080252835 \tabularnewline
0.22 & 102.642334336276 & 0.605953520680447 \tabularnewline
0.23 & 102.776826802304 & 0.563234141623494 \tabularnewline
0.24 & 102.900135161043 & 0.527779430415705 \tabularnewline
0.25 & 103.013887792487 & 0.49888987414167 \tabularnewline
0.26 & 103.119531036104 & 0.474720368753506 \tabularnewline
0.27 & 103.218188308031 & 0.453306501867965 \tabularnewline
0.28 & 103.310628756051 & 0.432434840225236 \tabularnewline
0.29 & 103.397329544087 & 0.411040427943271 \tabularnewline
0.3 & 103.478599339277 & 0.388821737664213 \tabularnewline
0.31 & 103.554724035888 & 0.366421715718116 \tabularnewline
0.32 & 103.626098813573 & 0.345291946951046 \tabularnewline
0.33 & 103.693320738475 & 0.32745108235434 \tabularnewline
0.34 & 103.757229489849 & 0.314350755996416 \tabularnewline
0.35 & 103.818896621093 & 0.307972353077883 \tabularnewline
0.36 & 103.879573255437 & 0.309122745182355 \tabularnewline
0.37 & 103.940611064742 & 0.318475863181729 \tabularnewline
0.38 & 104.003372097233 & 0.335461520739371 \tabularnewline
0.39 & 104.06914080682 & 0.359096625667852 \tabularnewline
0.4 & 104.139048067881 & 0.388233442227606 \tabularnewline
0.41 & 104.214013291968 & 0.421354858406785 \tabularnewline
0.42 & 104.294707648919 & 0.457052363426177 \tabularnewline
0.43 & 104.38153892275 & 0.493675273623751 \tabularnewline
0.44 & 104.474656485073 & 0.529721434460474 \tabularnewline
0.45 & 104.573973026824 & 0.564266311955073 \tabularnewline
0.46 & 104.679198040863 & 0.596166136553859 \tabularnewline
0.47 & 104.789876827457 & 0.624750978799602 \tabularnewline
0.48 & 104.90542837086 & 0.649746150043803 \tabularnewline
0.49 & 105.025176123574 & 0.670607219234764 \tabularnewline
0.5 & 105.148367623083 & 0.687216219171231 \tabularnewline
0.51 & 105.274181724427 & 0.69917214535838 \tabularnewline
0.52 & 105.401725534638 & 0.706121247177392 \tabularnewline
0.53 & 105.530026176856 & 0.707789604165796 \tabularnewline
0.54 & 105.658024581134 & 0.703426067154963 \tabularnewline
0.55 & 105.784579054798 & 0.692593921831318 \tabularnewline
0.56 & 105.908485197401 & 0.674889967779986 \tabularnewline
0.57 & 106.028515945619 & 0.650239364984413 \tabularnewline
0.58 & 106.143481682506 & 0.61872338134845 \tabularnewline
0.59 & 106.252306213507 & 0.581391588891143 \tabularnewline
0.6 & 106.354110886049 & 0.53921434302724 \tabularnewline
0.61 & 106.448296983681 & 0.493953126324071 \tabularnewline
0.62 & 106.534616218648 & 0.447590932539278 \tabularnewline
0.63 & 106.613220690971 & 0.402520484970837 \tabularnewline
0.64 & 106.684686628666 & 0.360974800152793 \tabularnewline
0.65 & 106.750009780245 & 0.325418082207548 \tabularnewline
0.66 & 106.810573586731 & 0.297903816374955 \tabularnewline
0.67 & 106.868093457506 & 0.280465348892339 \tabularnewline
0.68 & 106.924541235847 & 0.274386948963226 \tabularnewline
0.69 & 106.982053394494 & 0.280325690012431 \tabularnewline
0.7 & 107.042825261938 & 0.298104697617433 \tabularnewline
0.71 & 107.108992590697 & 0.326579695817988 \tabularnewline
0.72 & 107.182502064319 & 0.363912001687744 \tabularnewline
0.73 & 107.26497470027 & 0.40765147012223 \tabularnewline
0.74 & 107.357570790763 & 0.455061427326551 \tabularnewline
0.75 & 107.460871428274 & 0.50288224765972 \tabularnewline
0.76 & 107.574798122473 & 0.547515516486197 \tabularnewline
0.77 & 107.698595840288 & 0.585714552392638 \tabularnewline
0.78 & 107.830902723046 & 0.614571278669073 \tabularnewline
0.79 & 107.969918898264 & 0.632069438935297 \tabularnewline
0.8 & 108.113666233561 & 0.637853191866778 \tabularnewline
0.81 & 108.260303068801 & 0.63309129206074 \tabularnewline
0.82 & 108.408429892342 & 0.620652909812978 \tabularnewline
0.83 & 108.557304655205 & 0.604553569697927 \tabularnewline
0.84 & 108.706892441839 & 0.588956146519927 \tabularnewline
0.85 & 108.857712344974 & 0.576856779332364 \tabularnewline
0.86 & 109.010512834623 & 0.568949833222444 \tabularnewline
0.87 & 109.165886974392 & 0.563235774971052 \tabularnewline
0.88 & 109.323993836692 & 0.556103104046702 \tabularnewline
0.89 & 109.484538441042 & 0.544109295524534 \tabularnewline
0.9 & 109.647056020442 & 0.525894557768269 \tabularnewline
0.91 & 109.811384306446 & 0.503342399808802 \tabularnewline
0.92 & 109.978111504321 & 0.48047785833857 \tabularnewline
0.93 & 110.148921132011 & 0.460681793686693 \tabularnewline
0.94 & 110.327163466056 & 0.444192099201477 \tabularnewline
0.95 & 110.519316799756 & 0.431017126654772 \tabularnewline
0.96 & 110.737195703161 & 0.42862216043799 \tabularnewline
0.97 & 110.997119427111 & 0.455366364746391 \tabularnewline
0.98 & 111.305987652325 & 0.528078721709207 \tabularnewline
0.99 & 111.62627664178 & 0.63776170487932 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174603&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]98.8284761559497[/C][C]0.429823720046844[/C][/ROW]
[ROW][C]0.02[/C][C]99.0324240191625[/C][C]0.320935037607966[/C][/ROW]
[ROW][C]0.03[/C][C]99.2201735692522[/C][C]0.256160853600345[/C][/ROW]
[ROW][C]0.04[/C][C]99.3737577899061[/C][C]0.24783612657512[/C][/ROW]
[ROW][C]0.05[/C][C]99.5059069812534[/C][C]0.280041337049378[/C][/ROW]
[ROW][C]0.06[/C][C]99.6338182500329[/C][C]0.337174488837518[/C][/ROW]
[ROW][C]0.07[/C][C]99.769446042995[/C][C]0.409483439836612[/C][/ROW]
[ROW][C]0.08[/C][C]99.9191155547371[/C][C]0.489275504140934[/C][/ROW]
[ROW][C]0.09[/C][C]100.085217590813[/C][C]0.569617244995144[/C][/ROW]
[ROW][C]0.1[/C][C]100.267596326879[/C][C]0.645291265927427[/C][/ROW]
[ROW][C]0.11[/C][C]100.464473492036[/C][C]0.71310811915863[/C][/ROW]
[ROW][C]0.12[/C][C]100.67308311645[/C][C]0.77087840994462[/C][/ROW]
[ROW][C]0.13[/C][C]100.890083016083[/C][C]0.816787829578332[/C][/ROW]
[ROW][C]0.14[/C][C]101.111784933593[/C][C]0.848516615054973[/C][/ROW]
[ROW][C]0.15[/C][C]101.334293944815[/C][C]0.863544020479933[/C][/ROW]
[ROW][C]0.16[/C][C]101.553666325384[/C][C]0.860675581152237[/C][/ROW]
[ROW][C]0.17[/C][C]101.766149088363[/C][C]0.840436960640068[/C][/ROW]
[ROW][C]0.18[/C][C]101.968486641448[/C][C]0.805273534306747[/C][/ROW]
[ROW][C]0.19[/C][C]102.158220161666[/C][C]0.75911655926795[/C][/ROW]
[ROW][C]0.2[/C][C]102.333891174828[/C][C]0.707303072264938[/C][/ROW]
[ROW][C]0.21[/C][C]102.49508939613[/C][C]0.654917080252835[/C][/ROW]
[ROW][C]0.22[/C][C]102.642334336276[/C][C]0.605953520680447[/C][/ROW]
[ROW][C]0.23[/C][C]102.776826802304[/C][C]0.563234141623494[/C][/ROW]
[ROW][C]0.24[/C][C]102.900135161043[/C][C]0.527779430415705[/C][/ROW]
[ROW][C]0.25[/C][C]103.013887792487[/C][C]0.49888987414167[/C][/ROW]
[ROW][C]0.26[/C][C]103.119531036104[/C][C]0.474720368753506[/C][/ROW]
[ROW][C]0.27[/C][C]103.218188308031[/C][C]0.453306501867965[/C][/ROW]
[ROW][C]0.28[/C][C]103.310628756051[/C][C]0.432434840225236[/C][/ROW]
[ROW][C]0.29[/C][C]103.397329544087[/C][C]0.411040427943271[/C][/ROW]
[ROW][C]0.3[/C][C]103.478599339277[/C][C]0.388821737664213[/C][/ROW]
[ROW][C]0.31[/C][C]103.554724035888[/C][C]0.366421715718116[/C][/ROW]
[ROW][C]0.32[/C][C]103.626098813573[/C][C]0.345291946951046[/C][/ROW]
[ROW][C]0.33[/C][C]103.693320738475[/C][C]0.32745108235434[/C][/ROW]
[ROW][C]0.34[/C][C]103.757229489849[/C][C]0.314350755996416[/C][/ROW]
[ROW][C]0.35[/C][C]103.818896621093[/C][C]0.307972353077883[/C][/ROW]
[ROW][C]0.36[/C][C]103.879573255437[/C][C]0.309122745182355[/C][/ROW]
[ROW][C]0.37[/C][C]103.940611064742[/C][C]0.318475863181729[/C][/ROW]
[ROW][C]0.38[/C][C]104.003372097233[/C][C]0.335461520739371[/C][/ROW]
[ROW][C]0.39[/C][C]104.06914080682[/C][C]0.359096625667852[/C][/ROW]
[ROW][C]0.4[/C][C]104.139048067881[/C][C]0.388233442227606[/C][/ROW]
[ROW][C]0.41[/C][C]104.214013291968[/C][C]0.421354858406785[/C][/ROW]
[ROW][C]0.42[/C][C]104.294707648919[/C][C]0.457052363426177[/C][/ROW]
[ROW][C]0.43[/C][C]104.38153892275[/C][C]0.493675273623751[/C][/ROW]
[ROW][C]0.44[/C][C]104.474656485073[/C][C]0.529721434460474[/C][/ROW]
[ROW][C]0.45[/C][C]104.573973026824[/C][C]0.564266311955073[/C][/ROW]
[ROW][C]0.46[/C][C]104.679198040863[/C][C]0.596166136553859[/C][/ROW]
[ROW][C]0.47[/C][C]104.789876827457[/C][C]0.624750978799602[/C][/ROW]
[ROW][C]0.48[/C][C]104.90542837086[/C][C]0.649746150043803[/C][/ROW]
[ROW][C]0.49[/C][C]105.025176123574[/C][C]0.670607219234764[/C][/ROW]
[ROW][C]0.5[/C][C]105.148367623083[/C][C]0.687216219171231[/C][/ROW]
[ROW][C]0.51[/C][C]105.274181724427[/C][C]0.69917214535838[/C][/ROW]
[ROW][C]0.52[/C][C]105.401725534638[/C][C]0.706121247177392[/C][/ROW]
[ROW][C]0.53[/C][C]105.530026176856[/C][C]0.707789604165796[/C][/ROW]
[ROW][C]0.54[/C][C]105.658024581134[/C][C]0.703426067154963[/C][/ROW]
[ROW][C]0.55[/C][C]105.784579054798[/C][C]0.692593921831318[/C][/ROW]
[ROW][C]0.56[/C][C]105.908485197401[/C][C]0.674889967779986[/C][/ROW]
[ROW][C]0.57[/C][C]106.028515945619[/C][C]0.650239364984413[/C][/ROW]
[ROW][C]0.58[/C][C]106.143481682506[/C][C]0.61872338134845[/C][/ROW]
[ROW][C]0.59[/C][C]106.252306213507[/C][C]0.581391588891143[/C][/ROW]
[ROW][C]0.6[/C][C]106.354110886049[/C][C]0.53921434302724[/C][/ROW]
[ROW][C]0.61[/C][C]106.448296983681[/C][C]0.493953126324071[/C][/ROW]
[ROW][C]0.62[/C][C]106.534616218648[/C][C]0.447590932539278[/C][/ROW]
[ROW][C]0.63[/C][C]106.613220690971[/C][C]0.402520484970837[/C][/ROW]
[ROW][C]0.64[/C][C]106.684686628666[/C][C]0.360974800152793[/C][/ROW]
[ROW][C]0.65[/C][C]106.750009780245[/C][C]0.325418082207548[/C][/ROW]
[ROW][C]0.66[/C][C]106.810573586731[/C][C]0.297903816374955[/C][/ROW]
[ROW][C]0.67[/C][C]106.868093457506[/C][C]0.280465348892339[/C][/ROW]
[ROW][C]0.68[/C][C]106.924541235847[/C][C]0.274386948963226[/C][/ROW]
[ROW][C]0.69[/C][C]106.982053394494[/C][C]0.280325690012431[/C][/ROW]
[ROW][C]0.7[/C][C]107.042825261938[/C][C]0.298104697617433[/C][/ROW]
[ROW][C]0.71[/C][C]107.108992590697[/C][C]0.326579695817988[/C][/ROW]
[ROW][C]0.72[/C][C]107.182502064319[/C][C]0.363912001687744[/C][/ROW]
[ROW][C]0.73[/C][C]107.26497470027[/C][C]0.40765147012223[/C][/ROW]
[ROW][C]0.74[/C][C]107.357570790763[/C][C]0.455061427326551[/C][/ROW]
[ROW][C]0.75[/C][C]107.460871428274[/C][C]0.50288224765972[/C][/ROW]
[ROW][C]0.76[/C][C]107.574798122473[/C][C]0.547515516486197[/C][/ROW]
[ROW][C]0.77[/C][C]107.698595840288[/C][C]0.585714552392638[/C][/ROW]
[ROW][C]0.78[/C][C]107.830902723046[/C][C]0.614571278669073[/C][/ROW]
[ROW][C]0.79[/C][C]107.969918898264[/C][C]0.632069438935297[/C][/ROW]
[ROW][C]0.8[/C][C]108.113666233561[/C][C]0.637853191866778[/C][/ROW]
[ROW][C]0.81[/C][C]108.260303068801[/C][C]0.63309129206074[/C][/ROW]
[ROW][C]0.82[/C][C]108.408429892342[/C][C]0.620652909812978[/C][/ROW]
[ROW][C]0.83[/C][C]108.557304655205[/C][C]0.604553569697927[/C][/ROW]
[ROW][C]0.84[/C][C]108.706892441839[/C][C]0.588956146519927[/C][/ROW]
[ROW][C]0.85[/C][C]108.857712344974[/C][C]0.576856779332364[/C][/ROW]
[ROW][C]0.86[/C][C]109.010512834623[/C][C]0.568949833222444[/C][/ROW]
[ROW][C]0.87[/C][C]109.165886974392[/C][C]0.563235774971052[/C][/ROW]
[ROW][C]0.88[/C][C]109.323993836692[/C][C]0.556103104046702[/C][/ROW]
[ROW][C]0.89[/C][C]109.484538441042[/C][C]0.544109295524534[/C][/ROW]
[ROW][C]0.9[/C][C]109.647056020442[/C][C]0.525894557768269[/C][/ROW]
[ROW][C]0.91[/C][C]109.811384306446[/C][C]0.503342399808802[/C][/ROW]
[ROW][C]0.92[/C][C]109.978111504321[/C][C]0.48047785833857[/C][/ROW]
[ROW][C]0.93[/C][C]110.148921132011[/C][C]0.460681793686693[/C][/ROW]
[ROW][C]0.94[/C][C]110.327163466056[/C][C]0.444192099201477[/C][/ROW]
[ROW][C]0.95[/C][C]110.519316799756[/C][C]0.431017126654772[/C][/ROW]
[ROW][C]0.96[/C][C]110.737195703161[/C][C]0.42862216043799[/C][/ROW]
[ROW][C]0.97[/C][C]110.997119427111[/C][C]0.455366364746391[/C][/ROW]
[ROW][C]0.98[/C][C]111.305987652325[/C][C]0.528078721709207[/C][/ROW]
[ROW][C]0.99[/C][C]111.62627664178[/C][C]0.63776170487932[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174603&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174603&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
0.0198.82847615594970.429823720046844
0.0299.03242401916250.320935037607966
0.0399.22017356925220.256160853600345
0.0499.37375778990610.24783612657512
0.0599.50590698125340.280041337049378
0.0699.63381825003290.337174488837518
0.0799.7694460429950.409483439836612
0.0899.91911555473710.489275504140934
0.09100.0852175908130.569617244995144
0.1100.2675963268790.645291265927427
0.11100.4644734920360.71310811915863
0.12100.673083116450.77087840994462
0.13100.8900830160830.816787829578332
0.14101.1117849335930.848516615054973
0.15101.3342939448150.863544020479933
0.16101.5536663253840.860675581152237
0.17101.7661490883630.840436960640068
0.18101.9684866414480.805273534306747
0.19102.1582201616660.75911655926795
0.2102.3338911748280.707303072264938
0.21102.495089396130.654917080252835
0.22102.6423343362760.605953520680447
0.23102.7768268023040.563234141623494
0.24102.9001351610430.527779430415705
0.25103.0138877924870.49888987414167
0.26103.1195310361040.474720368753506
0.27103.2181883080310.453306501867965
0.28103.3106287560510.432434840225236
0.29103.3973295440870.411040427943271
0.3103.4785993392770.388821737664213
0.31103.5547240358880.366421715718116
0.32103.6260988135730.345291946951046
0.33103.6933207384750.32745108235434
0.34103.7572294898490.314350755996416
0.35103.8188966210930.307972353077883
0.36103.8795732554370.309122745182355
0.37103.9406110647420.318475863181729
0.38104.0033720972330.335461520739371
0.39104.069140806820.359096625667852
0.4104.1390480678810.388233442227606
0.41104.2140132919680.421354858406785
0.42104.2947076489190.457052363426177
0.43104.381538922750.493675273623751
0.44104.4746564850730.529721434460474
0.45104.5739730268240.564266311955073
0.46104.6791980408630.596166136553859
0.47104.7898768274570.624750978799602
0.48104.905428370860.649746150043803
0.49105.0251761235740.670607219234764
0.5105.1483676230830.687216219171231
0.51105.2741817244270.69917214535838
0.52105.4017255346380.706121247177392
0.53105.5300261768560.707789604165796
0.54105.6580245811340.703426067154963
0.55105.7845790547980.692593921831318
0.56105.9084851974010.674889967779986
0.57106.0285159456190.650239364984413
0.58106.1434816825060.61872338134845
0.59106.2523062135070.581391588891143
0.6106.3541108860490.53921434302724
0.61106.4482969836810.493953126324071
0.62106.5346162186480.447590932539278
0.63106.6132206909710.402520484970837
0.64106.6846866286660.360974800152793
0.65106.7500097802450.325418082207548
0.66106.8105735867310.297903816374955
0.67106.8680934575060.280465348892339
0.68106.9245412358470.274386948963226
0.69106.9820533944940.280325690012431
0.7107.0428252619380.298104697617433
0.71107.1089925906970.326579695817988
0.72107.1825020643190.363912001687744
0.73107.264974700270.40765147012223
0.74107.3575707907630.455061427326551
0.75107.4608714282740.50288224765972
0.76107.5747981224730.547515516486197
0.77107.6985958402880.585714552392638
0.78107.8309027230460.614571278669073
0.79107.9699188982640.632069438935297
0.8108.1136662335610.637853191866778
0.81108.2603030688010.63309129206074
0.82108.4084298923420.620652909812978
0.83108.5573046552050.604553569697927
0.84108.7068924418390.588956146519927
0.85108.8577123449740.576856779332364
0.86109.0105128346230.568949833222444
0.87109.1658869743920.563235774971052
0.88109.3239938366920.556103104046702
0.89109.4845384410420.544109295524534
0.9109.6470560204420.525894557768269
0.91109.8113843064460.503342399808802
0.92109.9781115043210.48047785833857
0.93110.1489211320110.460681793686693
0.94110.3271634660560.444192099201477
0.95110.5193167997560.431017126654772
0.96110.7371957031610.42862216043799
0.97110.9971194271110.455366364746391
0.98111.3059876523250.528078721709207
0.99111.626276641780.63776170487932


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')