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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 computationWed, 12 Oct 2011 07:11:29 -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/2011/Oct/12/t1318418027j9zgoh79xgiwpup.htm/, Retrieved Fri, 10 May 2024 21:10:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128304, Retrieved Fri, 10 May 2024 21:10:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact70

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] [Farmaceutische sp...] [2011-10-12 11:11:29] [459538fe31c621d37110fb87514358a8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105,71
105,82
105,82
105,72
105,76
105,8
105,09
105,06
105,16
105,2
105,21
105,23
105,19
105,16
104,88
104,52
104,09
104,35
104,48
104,47
104,55
104,59
104,59
104,72
104,65
104,72
104,92
105,05
103,74
103,81
103,79
104,28
103,8
103,8
104,02
104,02
104,91
104,97
103,86
104,17
103,21
103,21
101,91
101,84
101,91
101,79
101,79
101,79
102,09
102,18
102,2
101,97
102,05
102,04
101,78
101,79
101,8
101,83
101,83
101,88
101,9

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128304&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128304&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128304&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01101.7820628515130.00796467335333741
0.02101.784870981190.00564910590218892
0.03101.7875986194880.0043848885002459
0.04101.7900918337170.00520019281308005
0.05101.7926918573360.00799216722045909
0.06101.7958691433410.0120789940157812
0.07101.7999912938980.0166641070931878
0.08101.8052534129740.0215645211778862
0.09101.8117022437150.0263375171778975
0.1101.8192945122240.0311044891514224
0.11101.8279573753830.0357699872660952
0.12101.8376376753740.0406635328693022
0.13101.8483373244820.0458750096912388
0.14101.8601379740120.0520516825054505
0.15101.8732202783790.0596073756122243
0.16101.8878820986270.0692527380772484
0.17101.9045570510270.0817699425220564
0.18101.9238313498570.0981958249367395
0.19101.9464540359130.11959337668014
0.2101.9733339930370.146829224743382
0.21102.0055168664940.180915022278305
0.22102.0441362783350.221934233286375
0.23102.090336740080.27000880321917
0.24102.1451703338990.324222731343034
0.25102.2094750366740.382733644815221
0.26102.2837483868080.443382117113009
0.27102.3680345389460.50299145238656
0.28102.4618441519260.558210922938019
0.29102.5641240930360.605493523326102
0.3102.6732876277910.641978002238235
0.31102.7873066346570.665137092795242
0.32102.9038572694220.673855918024691
0.33103.0205015518990.667834803135379
0.34103.1348814550380.648321317025977
0.35103.2449004099230.617087879482414
0.36103.3488698802440.577097759867403
0.37103.4456050238550.531651722601799
0.38103.5344619655190.483784253946876
0.39103.6153180831460.436805473793236
0.4103.6885043270290.393326218942541
0.41103.7547037876260.355016492760007
0.42103.8148329875150.323311393879273
0.43103.8699218255990.298306834606423
0.44103.9210053711560.280018162182258
0.45103.9690366871350.267190081992323
0.46104.0148254824440.258692845822017
0.47104.0590034178260.253187507025096
0.48104.1020138114840.249429001009141
0.49104.1441215032640.24619408535578
0.5104.1854376827710.242811578611107
0.51104.2259543487390.238522436972279
0.52104.2655834647170.233142148967365
0.53104.3041965527770.226509521272951
0.54104.341661238840.218884656848392
0.55104.3778720349440.21030684385752
0.56104.4127733924490.2013781465837
0.57104.4463738040.192598399818756
0.58104.4787504955310.184356440293156
0.59104.5100450368370.177192752350414
0.6104.5404509812640.171411286069319
0.61104.570195360860.167243515173621
0.62104.5995164315330.164628253566195
0.63104.6286403998890.163504389538886
0.64104.6577599024550.163401737531066
0.65104.6870167160830.164050496984794
0.66104.7164905689060.164920780870635
0.67104.7461950606350.165557534638156
0.68104.7760807056720.165570781585058
0.69104.8060441371210.164705315159099
0.7104.8359417241390.162713626668183
0.71104.8656054156050.159665711366157
0.72104.8948586408890.15546945788052
0.73104.9235306146230.150355255062561
0.74104.9514683625220.144396129424046
0.75104.9785470752770.137837506167888
0.76105.0046807833460.130866465757356
0.77105.0298365073860.123717404849348
0.78105.0540555484080.116658158404186
0.79105.0774848957730.110054167472841
0.8105.1004192448570.104530770262873
0.81105.1233493458760.10093101986048
0.82105.1470053749110.100536317831135
0.83105.1723758336730.104730974912347
0.84105.2006759000680.114859597850922
0.85105.2332386661360.131292549526796
0.86105.2713135522150.153249035984393
0.87105.3157817836680.178252973831956
0.88105.3668369352620.202622690549055
0.89105.423718028810.221661638871142
0.9105.4846036554170.230853727290824
0.91105.5467562499220.226919986677533
0.92105.6069354124790.209020104872928
0.93105.6619930908650.179335241639632
0.94105.7094668857950.142660617318779
0.95105.7479612990040.104832717953077
0.96105.7771905199140.070857192555479
0.97105.7977294385070.0433503021588042
0.98105.8106837928290.0225940367006671
0.99105.8175082195480.00804962221009926

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 101.782062851513 & 0.00796467335333741 \tabularnewline
0.02 & 101.78487098119 & 0.00564910590218892 \tabularnewline
0.03 & 101.787598619488 & 0.0043848885002459 \tabularnewline
0.04 & 101.790091833717 & 0.00520019281308005 \tabularnewline
0.05 & 101.792691857336 & 0.00799216722045909 \tabularnewline
0.06 & 101.795869143341 & 0.0120789940157812 \tabularnewline
0.07 & 101.799991293898 & 0.0166641070931878 \tabularnewline
0.08 & 101.805253412974 & 0.0215645211778862 \tabularnewline
0.09 & 101.811702243715 & 0.0263375171778975 \tabularnewline
0.1 & 101.819294512224 & 0.0311044891514224 \tabularnewline
0.11 & 101.827957375383 & 0.0357699872660952 \tabularnewline
0.12 & 101.837637675374 & 0.0406635328693022 \tabularnewline
0.13 & 101.848337324482 & 0.0458750096912388 \tabularnewline
0.14 & 101.860137974012 & 0.0520516825054505 \tabularnewline
0.15 & 101.873220278379 & 0.0596073756122243 \tabularnewline
0.16 & 101.887882098627 & 0.0692527380772484 \tabularnewline
0.17 & 101.904557051027 & 0.0817699425220564 \tabularnewline
0.18 & 101.923831349857 & 0.0981958249367395 \tabularnewline
0.19 & 101.946454035913 & 0.11959337668014 \tabularnewline
0.2 & 101.973333993037 & 0.146829224743382 \tabularnewline
0.21 & 102.005516866494 & 0.180915022278305 \tabularnewline
0.22 & 102.044136278335 & 0.221934233286375 \tabularnewline
0.23 & 102.09033674008 & 0.27000880321917 \tabularnewline
0.24 & 102.145170333899 & 0.324222731343034 \tabularnewline
0.25 & 102.209475036674 & 0.382733644815221 \tabularnewline
0.26 & 102.283748386808 & 0.443382117113009 \tabularnewline
0.27 & 102.368034538946 & 0.50299145238656 \tabularnewline
0.28 & 102.461844151926 & 0.558210922938019 \tabularnewline
0.29 & 102.564124093036 & 0.605493523326102 \tabularnewline
0.3 & 102.673287627791 & 0.641978002238235 \tabularnewline
0.31 & 102.787306634657 & 0.665137092795242 \tabularnewline
0.32 & 102.903857269422 & 0.673855918024691 \tabularnewline
0.33 & 103.020501551899 & 0.667834803135379 \tabularnewline
0.34 & 103.134881455038 & 0.648321317025977 \tabularnewline
0.35 & 103.244900409923 & 0.617087879482414 \tabularnewline
0.36 & 103.348869880244 & 0.577097759867403 \tabularnewline
0.37 & 103.445605023855 & 0.531651722601799 \tabularnewline
0.38 & 103.534461965519 & 0.483784253946876 \tabularnewline
0.39 & 103.615318083146 & 0.436805473793236 \tabularnewline
0.4 & 103.688504327029 & 0.393326218942541 \tabularnewline
0.41 & 103.754703787626 & 0.355016492760007 \tabularnewline
0.42 & 103.814832987515 & 0.323311393879273 \tabularnewline
0.43 & 103.869921825599 & 0.298306834606423 \tabularnewline
0.44 & 103.921005371156 & 0.280018162182258 \tabularnewline
0.45 & 103.969036687135 & 0.267190081992323 \tabularnewline
0.46 & 104.014825482444 & 0.258692845822017 \tabularnewline
0.47 & 104.059003417826 & 0.253187507025096 \tabularnewline
0.48 & 104.102013811484 & 0.249429001009141 \tabularnewline
0.49 & 104.144121503264 & 0.24619408535578 \tabularnewline
0.5 & 104.185437682771 & 0.242811578611107 \tabularnewline
0.51 & 104.225954348739 & 0.238522436972279 \tabularnewline
0.52 & 104.265583464717 & 0.233142148967365 \tabularnewline
0.53 & 104.304196552777 & 0.226509521272951 \tabularnewline
0.54 & 104.34166123884 & 0.218884656848392 \tabularnewline
0.55 & 104.377872034944 & 0.21030684385752 \tabularnewline
0.56 & 104.412773392449 & 0.2013781465837 \tabularnewline
0.57 & 104.446373804 & 0.192598399818756 \tabularnewline
0.58 & 104.478750495531 & 0.184356440293156 \tabularnewline
0.59 & 104.510045036837 & 0.177192752350414 \tabularnewline
0.6 & 104.540450981264 & 0.171411286069319 \tabularnewline
0.61 & 104.57019536086 & 0.167243515173621 \tabularnewline
0.62 & 104.599516431533 & 0.164628253566195 \tabularnewline
0.63 & 104.628640399889 & 0.163504389538886 \tabularnewline
0.64 & 104.657759902455 & 0.163401737531066 \tabularnewline
0.65 & 104.687016716083 & 0.164050496984794 \tabularnewline
0.66 & 104.716490568906 & 0.164920780870635 \tabularnewline
0.67 & 104.746195060635 & 0.165557534638156 \tabularnewline
0.68 & 104.776080705672 & 0.165570781585058 \tabularnewline
0.69 & 104.806044137121 & 0.164705315159099 \tabularnewline
0.7 & 104.835941724139 & 0.162713626668183 \tabularnewline
0.71 & 104.865605415605 & 0.159665711366157 \tabularnewline
0.72 & 104.894858640889 & 0.15546945788052 \tabularnewline
0.73 & 104.923530614623 & 0.150355255062561 \tabularnewline
0.74 & 104.951468362522 & 0.144396129424046 \tabularnewline
0.75 & 104.978547075277 & 0.137837506167888 \tabularnewline
0.76 & 105.004680783346 & 0.130866465757356 \tabularnewline
0.77 & 105.029836507386 & 0.123717404849348 \tabularnewline
0.78 & 105.054055548408 & 0.116658158404186 \tabularnewline
0.79 & 105.077484895773 & 0.110054167472841 \tabularnewline
0.8 & 105.100419244857 & 0.104530770262873 \tabularnewline
0.81 & 105.123349345876 & 0.10093101986048 \tabularnewline
0.82 & 105.147005374911 & 0.100536317831135 \tabularnewline
0.83 & 105.172375833673 & 0.104730974912347 \tabularnewline
0.84 & 105.200675900068 & 0.114859597850922 \tabularnewline
0.85 & 105.233238666136 & 0.131292549526796 \tabularnewline
0.86 & 105.271313552215 & 0.153249035984393 \tabularnewline
0.87 & 105.315781783668 & 0.178252973831956 \tabularnewline
0.88 & 105.366836935262 & 0.202622690549055 \tabularnewline
0.89 & 105.42371802881 & 0.221661638871142 \tabularnewline
0.9 & 105.484603655417 & 0.230853727290824 \tabularnewline
0.91 & 105.546756249922 & 0.226919986677533 \tabularnewline
0.92 & 105.606935412479 & 0.209020104872928 \tabularnewline
0.93 & 105.661993090865 & 0.179335241639632 \tabularnewline
0.94 & 105.709466885795 & 0.142660617318779 \tabularnewline
0.95 & 105.747961299004 & 0.104832717953077 \tabularnewline
0.96 & 105.777190519914 & 0.070857192555479 \tabularnewline
0.97 & 105.797729438507 & 0.0433503021588042 \tabularnewline
0.98 & 105.810683792829 & 0.0225940367006671 \tabularnewline
0.99 & 105.817508219548 & 0.00804962221009926 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128304&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]101.782062851513[/C][C]0.00796467335333741[/C][/ROW]
[ROW][C]0.02[/C][C]101.78487098119[/C][C]0.00564910590218892[/C][/ROW]
[ROW][C]0.03[/C][C]101.787598619488[/C][C]0.0043848885002459[/C][/ROW]
[ROW][C]0.04[/C][C]101.790091833717[/C][C]0.00520019281308005[/C][/ROW]
[ROW][C]0.05[/C][C]101.792691857336[/C][C]0.00799216722045909[/C][/ROW]
[ROW][C]0.06[/C][C]101.795869143341[/C][C]0.0120789940157812[/C][/ROW]
[ROW][C]0.07[/C][C]101.799991293898[/C][C]0.0166641070931878[/C][/ROW]
[ROW][C]0.08[/C][C]101.805253412974[/C][C]0.0215645211778862[/C][/ROW]
[ROW][C]0.09[/C][C]101.811702243715[/C][C]0.0263375171778975[/C][/ROW]
[ROW][C]0.1[/C][C]101.819294512224[/C][C]0.0311044891514224[/C][/ROW]
[ROW][C]0.11[/C][C]101.827957375383[/C][C]0.0357699872660952[/C][/ROW]
[ROW][C]0.12[/C][C]101.837637675374[/C][C]0.0406635328693022[/C][/ROW]
[ROW][C]0.13[/C][C]101.848337324482[/C][C]0.0458750096912388[/C][/ROW]
[ROW][C]0.14[/C][C]101.860137974012[/C][C]0.0520516825054505[/C][/ROW]
[ROW][C]0.15[/C][C]101.873220278379[/C][C]0.0596073756122243[/C][/ROW]
[ROW][C]0.16[/C][C]101.887882098627[/C][C]0.0692527380772484[/C][/ROW]
[ROW][C]0.17[/C][C]101.904557051027[/C][C]0.0817699425220564[/C][/ROW]
[ROW][C]0.18[/C][C]101.923831349857[/C][C]0.0981958249367395[/C][/ROW]
[ROW][C]0.19[/C][C]101.946454035913[/C][C]0.11959337668014[/C][/ROW]
[ROW][C]0.2[/C][C]101.973333993037[/C][C]0.146829224743382[/C][/ROW]
[ROW][C]0.21[/C][C]102.005516866494[/C][C]0.180915022278305[/C][/ROW]
[ROW][C]0.22[/C][C]102.044136278335[/C][C]0.221934233286375[/C][/ROW]
[ROW][C]0.23[/C][C]102.09033674008[/C][C]0.27000880321917[/C][/ROW]
[ROW][C]0.24[/C][C]102.145170333899[/C][C]0.324222731343034[/C][/ROW]
[ROW][C]0.25[/C][C]102.209475036674[/C][C]0.382733644815221[/C][/ROW]
[ROW][C]0.26[/C][C]102.283748386808[/C][C]0.443382117113009[/C][/ROW]
[ROW][C]0.27[/C][C]102.368034538946[/C][C]0.50299145238656[/C][/ROW]
[ROW][C]0.28[/C][C]102.461844151926[/C][C]0.558210922938019[/C][/ROW]
[ROW][C]0.29[/C][C]102.564124093036[/C][C]0.605493523326102[/C][/ROW]
[ROW][C]0.3[/C][C]102.673287627791[/C][C]0.641978002238235[/C][/ROW]
[ROW][C]0.31[/C][C]102.787306634657[/C][C]0.665137092795242[/C][/ROW]
[ROW][C]0.32[/C][C]102.903857269422[/C][C]0.673855918024691[/C][/ROW]
[ROW][C]0.33[/C][C]103.020501551899[/C][C]0.667834803135379[/C][/ROW]
[ROW][C]0.34[/C][C]103.134881455038[/C][C]0.648321317025977[/C][/ROW]
[ROW][C]0.35[/C][C]103.244900409923[/C][C]0.617087879482414[/C][/ROW]
[ROW][C]0.36[/C][C]103.348869880244[/C][C]0.577097759867403[/C][/ROW]
[ROW][C]0.37[/C][C]103.445605023855[/C][C]0.531651722601799[/C][/ROW]
[ROW][C]0.38[/C][C]103.534461965519[/C][C]0.483784253946876[/C][/ROW]
[ROW][C]0.39[/C][C]103.615318083146[/C][C]0.436805473793236[/C][/ROW]
[ROW][C]0.4[/C][C]103.688504327029[/C][C]0.393326218942541[/C][/ROW]
[ROW][C]0.41[/C][C]103.754703787626[/C][C]0.355016492760007[/C][/ROW]
[ROW][C]0.42[/C][C]103.814832987515[/C][C]0.323311393879273[/C][/ROW]
[ROW][C]0.43[/C][C]103.869921825599[/C][C]0.298306834606423[/C][/ROW]
[ROW][C]0.44[/C][C]103.921005371156[/C][C]0.280018162182258[/C][/ROW]
[ROW][C]0.45[/C][C]103.969036687135[/C][C]0.267190081992323[/C][/ROW]
[ROW][C]0.46[/C][C]104.014825482444[/C][C]0.258692845822017[/C][/ROW]
[ROW][C]0.47[/C][C]104.059003417826[/C][C]0.253187507025096[/C][/ROW]
[ROW][C]0.48[/C][C]104.102013811484[/C][C]0.249429001009141[/C][/ROW]
[ROW][C]0.49[/C][C]104.144121503264[/C][C]0.24619408535578[/C][/ROW]
[ROW][C]0.5[/C][C]104.185437682771[/C][C]0.242811578611107[/C][/ROW]
[ROW][C]0.51[/C][C]104.225954348739[/C][C]0.238522436972279[/C][/ROW]
[ROW][C]0.52[/C][C]104.265583464717[/C][C]0.233142148967365[/C][/ROW]
[ROW][C]0.53[/C][C]104.304196552777[/C][C]0.226509521272951[/C][/ROW]
[ROW][C]0.54[/C][C]104.34166123884[/C][C]0.218884656848392[/C][/ROW]
[ROW][C]0.55[/C][C]104.377872034944[/C][C]0.21030684385752[/C][/ROW]
[ROW][C]0.56[/C][C]104.412773392449[/C][C]0.2013781465837[/C][/ROW]
[ROW][C]0.57[/C][C]104.446373804[/C][C]0.192598399818756[/C][/ROW]
[ROW][C]0.58[/C][C]104.478750495531[/C][C]0.184356440293156[/C][/ROW]
[ROW][C]0.59[/C][C]104.510045036837[/C][C]0.177192752350414[/C][/ROW]
[ROW][C]0.6[/C][C]104.540450981264[/C][C]0.171411286069319[/C][/ROW]
[ROW][C]0.61[/C][C]104.57019536086[/C][C]0.167243515173621[/C][/ROW]
[ROW][C]0.62[/C][C]104.599516431533[/C][C]0.164628253566195[/C][/ROW]
[ROW][C]0.63[/C][C]104.628640399889[/C][C]0.163504389538886[/C][/ROW]
[ROW][C]0.64[/C][C]104.657759902455[/C][C]0.163401737531066[/C][/ROW]
[ROW][C]0.65[/C][C]104.687016716083[/C][C]0.164050496984794[/C][/ROW]
[ROW][C]0.66[/C][C]104.716490568906[/C][C]0.164920780870635[/C][/ROW]
[ROW][C]0.67[/C][C]104.746195060635[/C][C]0.165557534638156[/C][/ROW]
[ROW][C]0.68[/C][C]104.776080705672[/C][C]0.165570781585058[/C][/ROW]
[ROW][C]0.69[/C][C]104.806044137121[/C][C]0.164705315159099[/C][/ROW]
[ROW][C]0.7[/C][C]104.835941724139[/C][C]0.162713626668183[/C][/ROW]
[ROW][C]0.71[/C][C]104.865605415605[/C][C]0.159665711366157[/C][/ROW]
[ROW][C]0.72[/C][C]104.894858640889[/C][C]0.15546945788052[/C][/ROW]
[ROW][C]0.73[/C][C]104.923530614623[/C][C]0.150355255062561[/C][/ROW]
[ROW][C]0.74[/C][C]104.951468362522[/C][C]0.144396129424046[/C][/ROW]
[ROW][C]0.75[/C][C]104.978547075277[/C][C]0.137837506167888[/C][/ROW]
[ROW][C]0.76[/C][C]105.004680783346[/C][C]0.130866465757356[/C][/ROW]
[ROW][C]0.77[/C][C]105.029836507386[/C][C]0.123717404849348[/C][/ROW]
[ROW][C]0.78[/C][C]105.054055548408[/C][C]0.116658158404186[/C][/ROW]
[ROW][C]0.79[/C][C]105.077484895773[/C][C]0.110054167472841[/C][/ROW]
[ROW][C]0.8[/C][C]105.100419244857[/C][C]0.104530770262873[/C][/ROW]
[ROW][C]0.81[/C][C]105.123349345876[/C][C]0.10093101986048[/C][/ROW]
[ROW][C]0.82[/C][C]105.147005374911[/C][C]0.100536317831135[/C][/ROW]
[ROW][C]0.83[/C][C]105.172375833673[/C][C]0.104730974912347[/C][/ROW]
[ROW][C]0.84[/C][C]105.200675900068[/C][C]0.114859597850922[/C][/ROW]
[ROW][C]0.85[/C][C]105.233238666136[/C][C]0.131292549526796[/C][/ROW]
[ROW][C]0.86[/C][C]105.271313552215[/C][C]0.153249035984393[/C][/ROW]
[ROW][C]0.87[/C][C]105.315781783668[/C][C]0.178252973831956[/C][/ROW]
[ROW][C]0.88[/C][C]105.366836935262[/C][C]0.202622690549055[/C][/ROW]
[ROW][C]0.89[/C][C]105.42371802881[/C][C]0.221661638871142[/C][/ROW]
[ROW][C]0.9[/C][C]105.484603655417[/C][C]0.230853727290824[/C][/ROW]
[ROW][C]0.91[/C][C]105.546756249922[/C][C]0.226919986677533[/C][/ROW]
[ROW][C]0.92[/C][C]105.606935412479[/C][C]0.209020104872928[/C][/ROW]
[ROW][C]0.93[/C][C]105.661993090865[/C][C]0.179335241639632[/C][/ROW]
[ROW][C]0.94[/C][C]105.709466885795[/C][C]0.142660617318779[/C][/ROW]
[ROW][C]0.95[/C][C]105.747961299004[/C][C]0.104832717953077[/C][/ROW]
[ROW][C]0.96[/C][C]105.777190519914[/C][C]0.070857192555479[/C][/ROW]
[ROW][C]0.97[/C][C]105.797729438507[/C][C]0.0433503021588042[/C][/ROW]
[ROW][C]0.98[/C][C]105.810683792829[/C][C]0.0225940367006671[/C][/ROW]
[ROW][C]0.99[/C][C]105.817508219548[/C][C]0.00804962221009926[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128304&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128304&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
0.01101.7820628515130.00796467335333741
0.02101.784870981190.00564910590218892
0.03101.7875986194880.0043848885002459
0.04101.7900918337170.00520019281308005
0.05101.7926918573360.00799216722045909
0.06101.7958691433410.0120789940157812
0.07101.7999912938980.0166641070931878
0.08101.8052534129740.0215645211778862
0.09101.8117022437150.0263375171778975
0.1101.8192945122240.0311044891514224
0.11101.8279573753830.0357699872660952
0.12101.8376376753740.0406635328693022
0.13101.8483373244820.0458750096912388
0.14101.8601379740120.0520516825054505
0.15101.8732202783790.0596073756122243
0.16101.8878820986270.0692527380772484
0.17101.9045570510270.0817699425220564
0.18101.9238313498570.0981958249367395
0.19101.9464540359130.11959337668014
0.2101.9733339930370.146829224743382
0.21102.0055168664940.180915022278305
0.22102.0441362783350.221934233286375
0.23102.090336740080.27000880321917
0.24102.1451703338990.324222731343034
0.25102.2094750366740.382733644815221
0.26102.2837483868080.443382117113009
0.27102.3680345389460.50299145238656
0.28102.4618441519260.558210922938019
0.29102.5641240930360.605493523326102
0.3102.6732876277910.641978002238235
0.31102.7873066346570.665137092795242
0.32102.9038572694220.673855918024691
0.33103.0205015518990.667834803135379
0.34103.1348814550380.648321317025977
0.35103.2449004099230.617087879482414
0.36103.3488698802440.577097759867403
0.37103.4456050238550.531651722601799
0.38103.5344619655190.483784253946876
0.39103.6153180831460.436805473793236
0.4103.6885043270290.393326218942541
0.41103.7547037876260.355016492760007
0.42103.8148329875150.323311393879273
0.43103.8699218255990.298306834606423
0.44103.9210053711560.280018162182258
0.45103.9690366871350.267190081992323
0.46104.0148254824440.258692845822017
0.47104.0590034178260.253187507025096
0.48104.1020138114840.249429001009141
0.49104.1441215032640.24619408535578
0.5104.1854376827710.242811578611107
0.51104.2259543487390.238522436972279
0.52104.2655834647170.233142148967365
0.53104.3041965527770.226509521272951
0.54104.341661238840.218884656848392
0.55104.3778720349440.21030684385752
0.56104.4127733924490.2013781465837
0.57104.4463738040.192598399818756
0.58104.4787504955310.184356440293156
0.59104.5100450368370.177192752350414
0.6104.5404509812640.171411286069319
0.61104.570195360860.167243515173621
0.62104.5995164315330.164628253566195
0.63104.6286403998890.163504389538886
0.64104.6577599024550.163401737531066
0.65104.6870167160830.164050496984794
0.66104.7164905689060.164920780870635
0.67104.7461950606350.165557534638156
0.68104.7760807056720.165570781585058
0.69104.8060441371210.164705315159099
0.7104.8359417241390.162713626668183
0.71104.8656054156050.159665711366157
0.72104.8948586408890.15546945788052
0.73104.9235306146230.150355255062561
0.74104.9514683625220.144396129424046
0.75104.9785470752770.137837506167888
0.76105.0046807833460.130866465757356
0.77105.0298365073860.123717404849348
0.78105.0540555484080.116658158404186
0.79105.0774848957730.110054167472841
0.8105.1004192448570.104530770262873
0.81105.1233493458760.10093101986048
0.82105.1470053749110.100536317831135
0.83105.1723758336730.104730974912347
0.84105.2006759000680.114859597850922
0.85105.2332386661360.131292549526796
0.86105.2713135522150.153249035984393
0.87105.3157817836680.178252973831956
0.88105.3668369352620.202622690549055
0.89105.423718028810.221661638871142
0.9105.4846036554170.230853727290824
0.91105.5467562499220.226919986677533
0.92105.6069354124790.209020104872928
0.93105.6619930908650.179335241639632
0.94105.7094668857950.142660617318779
0.95105.7479612990040.104832717953077
0.96105.7771905199140.070857192555479
0.97105.7977294385070.0433503021588042
0.98105.8106837928290.0225940367006671
0.99105.8175082195480.00804962221009926


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')