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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, 03 Oct 2014 14:45:54 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/03/t1412343983bly6i98nfao8ayq.htm/, Retrieved Fri, 10 May 2024 05:36:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238435, Retrieved Fri, 10 May 2024 05:36:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

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] [] [2014-10-03 13:45:54] [823d84bc2f1aa2ddbab319cc794dd4cf] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104,31
104,76
105,68
106,22
106,69
107,17
107,46
107,16
107,35
107,65
107,75
108,22
108,68
109,35
109,54
109,46
108,86
108,63
107,55
106,8
106,07
106,44
106,38
107,07
106,54
107,83
108,06
108,49
107,9
108,02
108,46
108,31
107,69
107,71
107,74
108,15
107,39
109,16
109,65
110,4
110,26
110,5
110,31
109,85
109,4
109,75
109,79
110,27
109,19
111,78
111,58
111,71
111,59
112,14
111,73
111,32
111,29
112,45
112,61
114,3
113,32
114,85
115,35
114,9
115,49
115,55
115,44
114,81
113,83
113,64
113,26
114,68

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=238435&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=238435&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238435&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
0.01104.5061359038030.538707257228522
0.02104.8345124641920.649227393699792
0.03105.2013807904860.665678902568582
0.04105.5379677944980.591371543377383
0.05105.8146296688860.484969979072387
0.06106.0297353510630.392152021124913
0.07106.1953920456680.33066981233946
0.08106.3270718180550.299981244517359
0.09106.438141841850.291997674171873
0.1106.538059042020.297089119628869
0.11106.632520697330.30739894622391
0.12106.7243260099850.317042376658465
0.13106.8143279575510.322808759416532
0.14106.9022531887570.322986361707898
0.15106.9873329947670.317754963547427
0.16107.0687382780930.308398260373629
0.17107.1458313039890.296201684031586
0.18107.218265319150.28270143110282
0.19107.285978138220.268985349731543
0.2107.349130474620.255800067648078
0.21107.4080323194640.243407870249785
0.22107.4630850067010.232072010207321
0.23107.5147491103520.222211247832163
0.24107.5635344592440.214042248500516
0.25107.6100011404280.208193197122833
0.26107.6547594437110.205097140433804
0.27107.6984604241860.205098350752784
0.28107.741774521690.208502657940129
0.29107.7853610794150.215080565552725
0.3107.8298350419120.224600825050706
0.31107.8757379633260.236523790549568
0.32107.923518976960.250152087357508
0.33107.973528412010.264977797201499
0.34108.0260233639560.280828952005359
0.35108.0811817002730.297161082317082
0.36108.1391193562960.313933736284882
0.37108.19990558190.330812515407387
0.38108.2635719035560.347875112224205
0.39108.3301125804890.364916555912122
0.4108.3994767521040.381637672155447
0.41108.4715547846510.397665717381758
0.42108.5461630857910.412510578457548
0.43108.6230325378890.42567574090629
0.44108.7018055230410.436344718948479
0.45108.782045268950.444213690923258
0.46108.8632591239750.448801553456117
0.47108.944934749210.45007129423423
0.48109.0265856100910.448377279725044
0.49109.1078001133110.444136990469162
0.5109.1882877305440.438292547694503
0.51109.2679157274810.431901170926285
0.52109.3467316267520.426061915133866
0.53109.4249689232120.422015733471786
0.54109.5030362565940.42065537453595
0.55109.5814925614720.422807428456601
0.56109.661012086410.428988997817847
0.57109.7423433014910.43948279680026
0.58109.8262646823410.454234716957983
0.59109.9135386643760.472712521559776
0.6110.0048635053630.494762776431027
0.61110.1008222618830.519471754788464
0.62110.2018292337620.545660305017155
0.63110.3080771776330.572413848150138
0.64110.4194927092670.597655809781775
0.65110.5357112461940.61994462072117
0.66110.6560847968460.63746048730346
0.67110.7797342084040.648804950010192
0.68110.9056512542080.653309237407432
0.69111.0328456183220.651048055073025
0.7111.1605193981980.643400674447378
0.71111.2882404054090.632562751487273
0.72111.4160789427530.621905773475499
0.73111.5446738592970.614853752395044
0.74111.675203794490.614751789674725
0.75111.8092574630.623685979243135
0.76111.9486189608740.642012269225694
0.77112.0950048934050.668365994578782
0.78112.2498035259450.699687719084102
0.79112.4138670662690.732235690511776
0.8112.5873943417460.762346776131687
0.81112.7699146536010.78668962311092
0.82112.9603517952710.802826613291155
0.83113.1571219851080.809532336567265
0.84113.3582142451460.806241822200021
0.85113.5612259126050.79243256487558
0.86113.7633772064670.767393611024425
0.87113.961586768010.730173486802551
0.88114.1527166131350.680272523086758
0.89114.3340465718780.619224542449565
0.9114.5038949029210.551268073383502
0.91114.6621038080530.483627138454156
0.92114.8099797035760.424483884077846
0.93114.9493932667990.378236166840248
0.94115.0812092951960.340565359740889
0.95115.2038826690240.299611418535218
0.96115.3134043309750.244794355081501
0.97115.4051069033850.176954841950193
0.98115.4759881344760.111136513488469
0.99115.524812160390.0695337363556006

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 104.506135903803 & 0.538707257228522 \tabularnewline
0.02 & 104.834512464192 & 0.649227393699792 \tabularnewline
0.03 & 105.201380790486 & 0.665678902568582 \tabularnewline
0.04 & 105.537967794498 & 0.591371543377383 \tabularnewline
0.05 & 105.814629668886 & 0.484969979072387 \tabularnewline
0.06 & 106.029735351063 & 0.392152021124913 \tabularnewline
0.07 & 106.195392045668 & 0.33066981233946 \tabularnewline
0.08 & 106.327071818055 & 0.299981244517359 \tabularnewline
0.09 & 106.43814184185 & 0.291997674171873 \tabularnewline
0.1 & 106.53805904202 & 0.297089119628869 \tabularnewline
0.11 & 106.63252069733 & 0.30739894622391 \tabularnewline
0.12 & 106.724326009985 & 0.317042376658465 \tabularnewline
0.13 & 106.814327957551 & 0.322808759416532 \tabularnewline
0.14 & 106.902253188757 & 0.322986361707898 \tabularnewline
0.15 & 106.987332994767 & 0.317754963547427 \tabularnewline
0.16 & 107.068738278093 & 0.308398260373629 \tabularnewline
0.17 & 107.145831303989 & 0.296201684031586 \tabularnewline
0.18 & 107.21826531915 & 0.28270143110282 \tabularnewline
0.19 & 107.28597813822 & 0.268985349731543 \tabularnewline
0.2 & 107.34913047462 & 0.255800067648078 \tabularnewline
0.21 & 107.408032319464 & 0.243407870249785 \tabularnewline
0.22 & 107.463085006701 & 0.232072010207321 \tabularnewline
0.23 & 107.514749110352 & 0.222211247832163 \tabularnewline
0.24 & 107.563534459244 & 0.214042248500516 \tabularnewline
0.25 & 107.610001140428 & 0.208193197122833 \tabularnewline
0.26 & 107.654759443711 & 0.205097140433804 \tabularnewline
0.27 & 107.698460424186 & 0.205098350752784 \tabularnewline
0.28 & 107.74177452169 & 0.208502657940129 \tabularnewline
0.29 & 107.785361079415 & 0.215080565552725 \tabularnewline
0.3 & 107.829835041912 & 0.224600825050706 \tabularnewline
0.31 & 107.875737963326 & 0.236523790549568 \tabularnewline
0.32 & 107.92351897696 & 0.250152087357508 \tabularnewline
0.33 & 107.97352841201 & 0.264977797201499 \tabularnewline
0.34 & 108.026023363956 & 0.280828952005359 \tabularnewline
0.35 & 108.081181700273 & 0.297161082317082 \tabularnewline
0.36 & 108.139119356296 & 0.313933736284882 \tabularnewline
0.37 & 108.1999055819 & 0.330812515407387 \tabularnewline
0.38 & 108.263571903556 & 0.347875112224205 \tabularnewline
0.39 & 108.330112580489 & 0.364916555912122 \tabularnewline
0.4 & 108.399476752104 & 0.381637672155447 \tabularnewline
0.41 & 108.471554784651 & 0.397665717381758 \tabularnewline
0.42 & 108.546163085791 & 0.412510578457548 \tabularnewline
0.43 & 108.623032537889 & 0.42567574090629 \tabularnewline
0.44 & 108.701805523041 & 0.436344718948479 \tabularnewline
0.45 & 108.78204526895 & 0.444213690923258 \tabularnewline
0.46 & 108.863259123975 & 0.448801553456117 \tabularnewline
0.47 & 108.94493474921 & 0.45007129423423 \tabularnewline
0.48 & 109.026585610091 & 0.448377279725044 \tabularnewline
0.49 & 109.107800113311 & 0.444136990469162 \tabularnewline
0.5 & 109.188287730544 & 0.438292547694503 \tabularnewline
0.51 & 109.267915727481 & 0.431901170926285 \tabularnewline
0.52 & 109.346731626752 & 0.426061915133866 \tabularnewline
0.53 & 109.424968923212 & 0.422015733471786 \tabularnewline
0.54 & 109.503036256594 & 0.42065537453595 \tabularnewline
0.55 & 109.581492561472 & 0.422807428456601 \tabularnewline
0.56 & 109.66101208641 & 0.428988997817847 \tabularnewline
0.57 & 109.742343301491 & 0.43948279680026 \tabularnewline
0.58 & 109.826264682341 & 0.454234716957983 \tabularnewline
0.59 & 109.913538664376 & 0.472712521559776 \tabularnewline
0.6 & 110.004863505363 & 0.494762776431027 \tabularnewline
0.61 & 110.100822261883 & 0.519471754788464 \tabularnewline
0.62 & 110.201829233762 & 0.545660305017155 \tabularnewline
0.63 & 110.308077177633 & 0.572413848150138 \tabularnewline
0.64 & 110.419492709267 & 0.597655809781775 \tabularnewline
0.65 & 110.535711246194 & 0.61994462072117 \tabularnewline
0.66 & 110.656084796846 & 0.63746048730346 \tabularnewline
0.67 & 110.779734208404 & 0.648804950010192 \tabularnewline
0.68 & 110.905651254208 & 0.653309237407432 \tabularnewline
0.69 & 111.032845618322 & 0.651048055073025 \tabularnewline
0.7 & 111.160519398198 & 0.643400674447378 \tabularnewline
0.71 & 111.288240405409 & 0.632562751487273 \tabularnewline
0.72 & 111.416078942753 & 0.621905773475499 \tabularnewline
0.73 & 111.544673859297 & 0.614853752395044 \tabularnewline
0.74 & 111.67520379449 & 0.614751789674725 \tabularnewline
0.75 & 111.809257463 & 0.623685979243135 \tabularnewline
0.76 & 111.948618960874 & 0.642012269225694 \tabularnewline
0.77 & 112.095004893405 & 0.668365994578782 \tabularnewline
0.78 & 112.249803525945 & 0.699687719084102 \tabularnewline
0.79 & 112.413867066269 & 0.732235690511776 \tabularnewline
0.8 & 112.587394341746 & 0.762346776131687 \tabularnewline
0.81 & 112.769914653601 & 0.78668962311092 \tabularnewline
0.82 & 112.960351795271 & 0.802826613291155 \tabularnewline
0.83 & 113.157121985108 & 0.809532336567265 \tabularnewline
0.84 & 113.358214245146 & 0.806241822200021 \tabularnewline
0.85 & 113.561225912605 & 0.79243256487558 \tabularnewline
0.86 & 113.763377206467 & 0.767393611024425 \tabularnewline
0.87 & 113.96158676801 & 0.730173486802551 \tabularnewline
0.88 & 114.152716613135 & 0.680272523086758 \tabularnewline
0.89 & 114.334046571878 & 0.619224542449565 \tabularnewline
0.9 & 114.503894902921 & 0.551268073383502 \tabularnewline
0.91 & 114.662103808053 & 0.483627138454156 \tabularnewline
0.92 & 114.809979703576 & 0.424483884077846 \tabularnewline
0.93 & 114.949393266799 & 0.378236166840248 \tabularnewline
0.94 & 115.081209295196 & 0.340565359740889 \tabularnewline
0.95 & 115.203882669024 & 0.299611418535218 \tabularnewline
0.96 & 115.313404330975 & 0.244794355081501 \tabularnewline
0.97 & 115.405106903385 & 0.176954841950193 \tabularnewline
0.98 & 115.475988134476 & 0.111136513488469 \tabularnewline
0.99 & 115.52481216039 & 0.0695337363556006 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238435&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]104.506135903803[/C][C]0.538707257228522[/C][/ROW]
[ROW][C]0.02[/C][C]104.834512464192[/C][C]0.649227393699792[/C][/ROW]
[ROW][C]0.03[/C][C]105.201380790486[/C][C]0.665678902568582[/C][/ROW]
[ROW][C]0.04[/C][C]105.537967794498[/C][C]0.591371543377383[/C][/ROW]
[ROW][C]0.05[/C][C]105.814629668886[/C][C]0.484969979072387[/C][/ROW]
[ROW][C]0.06[/C][C]106.029735351063[/C][C]0.392152021124913[/C][/ROW]
[ROW][C]0.07[/C][C]106.195392045668[/C][C]0.33066981233946[/C][/ROW]
[ROW][C]0.08[/C][C]106.327071818055[/C][C]0.299981244517359[/C][/ROW]
[ROW][C]0.09[/C][C]106.43814184185[/C][C]0.291997674171873[/C][/ROW]
[ROW][C]0.1[/C][C]106.53805904202[/C][C]0.297089119628869[/C][/ROW]
[ROW][C]0.11[/C][C]106.63252069733[/C][C]0.30739894622391[/C][/ROW]
[ROW][C]0.12[/C][C]106.724326009985[/C][C]0.317042376658465[/C][/ROW]
[ROW][C]0.13[/C][C]106.814327957551[/C][C]0.322808759416532[/C][/ROW]
[ROW][C]0.14[/C][C]106.902253188757[/C][C]0.322986361707898[/C][/ROW]
[ROW][C]0.15[/C][C]106.987332994767[/C][C]0.317754963547427[/C][/ROW]
[ROW][C]0.16[/C][C]107.068738278093[/C][C]0.308398260373629[/C][/ROW]
[ROW][C]0.17[/C][C]107.145831303989[/C][C]0.296201684031586[/C][/ROW]
[ROW][C]0.18[/C][C]107.21826531915[/C][C]0.28270143110282[/C][/ROW]
[ROW][C]0.19[/C][C]107.28597813822[/C][C]0.268985349731543[/C][/ROW]
[ROW][C]0.2[/C][C]107.34913047462[/C][C]0.255800067648078[/C][/ROW]
[ROW][C]0.21[/C][C]107.408032319464[/C][C]0.243407870249785[/C][/ROW]
[ROW][C]0.22[/C][C]107.463085006701[/C][C]0.232072010207321[/C][/ROW]
[ROW][C]0.23[/C][C]107.514749110352[/C][C]0.222211247832163[/C][/ROW]
[ROW][C]0.24[/C][C]107.563534459244[/C][C]0.214042248500516[/C][/ROW]
[ROW][C]0.25[/C][C]107.610001140428[/C][C]0.208193197122833[/C][/ROW]
[ROW][C]0.26[/C][C]107.654759443711[/C][C]0.205097140433804[/C][/ROW]
[ROW][C]0.27[/C][C]107.698460424186[/C][C]0.205098350752784[/C][/ROW]
[ROW][C]0.28[/C][C]107.74177452169[/C][C]0.208502657940129[/C][/ROW]
[ROW][C]0.29[/C][C]107.785361079415[/C][C]0.215080565552725[/C][/ROW]
[ROW][C]0.3[/C][C]107.829835041912[/C][C]0.224600825050706[/C][/ROW]
[ROW][C]0.31[/C][C]107.875737963326[/C][C]0.236523790549568[/C][/ROW]
[ROW][C]0.32[/C][C]107.92351897696[/C][C]0.250152087357508[/C][/ROW]
[ROW][C]0.33[/C][C]107.97352841201[/C][C]0.264977797201499[/C][/ROW]
[ROW][C]0.34[/C][C]108.026023363956[/C][C]0.280828952005359[/C][/ROW]
[ROW][C]0.35[/C][C]108.081181700273[/C][C]0.297161082317082[/C][/ROW]
[ROW][C]0.36[/C][C]108.139119356296[/C][C]0.313933736284882[/C][/ROW]
[ROW][C]0.37[/C][C]108.1999055819[/C][C]0.330812515407387[/C][/ROW]
[ROW][C]0.38[/C][C]108.263571903556[/C][C]0.347875112224205[/C][/ROW]
[ROW][C]0.39[/C][C]108.330112580489[/C][C]0.364916555912122[/C][/ROW]
[ROW][C]0.4[/C][C]108.399476752104[/C][C]0.381637672155447[/C][/ROW]
[ROW][C]0.41[/C][C]108.471554784651[/C][C]0.397665717381758[/C][/ROW]
[ROW][C]0.42[/C][C]108.546163085791[/C][C]0.412510578457548[/C][/ROW]
[ROW][C]0.43[/C][C]108.623032537889[/C][C]0.42567574090629[/C][/ROW]
[ROW][C]0.44[/C][C]108.701805523041[/C][C]0.436344718948479[/C][/ROW]
[ROW][C]0.45[/C][C]108.78204526895[/C][C]0.444213690923258[/C][/ROW]
[ROW][C]0.46[/C][C]108.863259123975[/C][C]0.448801553456117[/C][/ROW]
[ROW][C]0.47[/C][C]108.94493474921[/C][C]0.45007129423423[/C][/ROW]
[ROW][C]0.48[/C][C]109.026585610091[/C][C]0.448377279725044[/C][/ROW]
[ROW][C]0.49[/C][C]109.107800113311[/C][C]0.444136990469162[/C][/ROW]
[ROW][C]0.5[/C][C]109.188287730544[/C][C]0.438292547694503[/C][/ROW]
[ROW][C]0.51[/C][C]109.267915727481[/C][C]0.431901170926285[/C][/ROW]
[ROW][C]0.52[/C][C]109.346731626752[/C][C]0.426061915133866[/C][/ROW]
[ROW][C]0.53[/C][C]109.424968923212[/C][C]0.422015733471786[/C][/ROW]
[ROW][C]0.54[/C][C]109.503036256594[/C][C]0.42065537453595[/C][/ROW]
[ROW][C]0.55[/C][C]109.581492561472[/C][C]0.422807428456601[/C][/ROW]
[ROW][C]0.56[/C][C]109.66101208641[/C][C]0.428988997817847[/C][/ROW]
[ROW][C]0.57[/C][C]109.742343301491[/C][C]0.43948279680026[/C][/ROW]
[ROW][C]0.58[/C][C]109.826264682341[/C][C]0.454234716957983[/C][/ROW]
[ROW][C]0.59[/C][C]109.913538664376[/C][C]0.472712521559776[/C][/ROW]
[ROW][C]0.6[/C][C]110.004863505363[/C][C]0.494762776431027[/C][/ROW]
[ROW][C]0.61[/C][C]110.100822261883[/C][C]0.519471754788464[/C][/ROW]
[ROW][C]0.62[/C][C]110.201829233762[/C][C]0.545660305017155[/C][/ROW]
[ROW][C]0.63[/C][C]110.308077177633[/C][C]0.572413848150138[/C][/ROW]
[ROW][C]0.64[/C][C]110.419492709267[/C][C]0.597655809781775[/C][/ROW]
[ROW][C]0.65[/C][C]110.535711246194[/C][C]0.61994462072117[/C][/ROW]
[ROW][C]0.66[/C][C]110.656084796846[/C][C]0.63746048730346[/C][/ROW]
[ROW][C]0.67[/C][C]110.779734208404[/C][C]0.648804950010192[/C][/ROW]
[ROW][C]0.68[/C][C]110.905651254208[/C][C]0.653309237407432[/C][/ROW]
[ROW][C]0.69[/C][C]111.032845618322[/C][C]0.651048055073025[/C][/ROW]
[ROW][C]0.7[/C][C]111.160519398198[/C][C]0.643400674447378[/C][/ROW]
[ROW][C]0.71[/C][C]111.288240405409[/C][C]0.632562751487273[/C][/ROW]
[ROW][C]0.72[/C][C]111.416078942753[/C][C]0.621905773475499[/C][/ROW]
[ROW][C]0.73[/C][C]111.544673859297[/C][C]0.614853752395044[/C][/ROW]
[ROW][C]0.74[/C][C]111.67520379449[/C][C]0.614751789674725[/C][/ROW]
[ROW][C]0.75[/C][C]111.809257463[/C][C]0.623685979243135[/C][/ROW]
[ROW][C]0.76[/C][C]111.948618960874[/C][C]0.642012269225694[/C][/ROW]
[ROW][C]0.77[/C][C]112.095004893405[/C][C]0.668365994578782[/C][/ROW]
[ROW][C]0.78[/C][C]112.249803525945[/C][C]0.699687719084102[/C][/ROW]
[ROW][C]0.79[/C][C]112.413867066269[/C][C]0.732235690511776[/C][/ROW]
[ROW][C]0.8[/C][C]112.587394341746[/C][C]0.762346776131687[/C][/ROW]
[ROW][C]0.81[/C][C]112.769914653601[/C][C]0.78668962311092[/C][/ROW]
[ROW][C]0.82[/C][C]112.960351795271[/C][C]0.802826613291155[/C][/ROW]
[ROW][C]0.83[/C][C]113.157121985108[/C][C]0.809532336567265[/C][/ROW]
[ROW][C]0.84[/C][C]113.358214245146[/C][C]0.806241822200021[/C][/ROW]
[ROW][C]0.85[/C][C]113.561225912605[/C][C]0.79243256487558[/C][/ROW]
[ROW][C]0.86[/C][C]113.763377206467[/C][C]0.767393611024425[/C][/ROW]
[ROW][C]0.87[/C][C]113.96158676801[/C][C]0.730173486802551[/C][/ROW]
[ROW][C]0.88[/C][C]114.152716613135[/C][C]0.680272523086758[/C][/ROW]
[ROW][C]0.89[/C][C]114.334046571878[/C][C]0.619224542449565[/C][/ROW]
[ROW][C]0.9[/C][C]114.503894902921[/C][C]0.551268073383502[/C][/ROW]
[ROW][C]0.91[/C][C]114.662103808053[/C][C]0.483627138454156[/C][/ROW]
[ROW][C]0.92[/C][C]114.809979703576[/C][C]0.424483884077846[/C][/ROW]
[ROW][C]0.93[/C][C]114.949393266799[/C][C]0.378236166840248[/C][/ROW]
[ROW][C]0.94[/C][C]115.081209295196[/C][C]0.340565359740889[/C][/ROW]
[ROW][C]0.95[/C][C]115.203882669024[/C][C]0.299611418535218[/C][/ROW]
[ROW][C]0.96[/C][C]115.313404330975[/C][C]0.244794355081501[/C][/ROW]
[ROW][C]0.97[/C][C]115.405106903385[/C][C]0.176954841950193[/C][/ROW]
[ROW][C]0.98[/C][C]115.475988134476[/C][C]0.111136513488469[/C][/ROW]
[ROW][C]0.99[/C][C]115.52481216039[/C][C]0.0695337363556006[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238435&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238435&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
0.01104.5061359038030.538707257228522
0.02104.8345124641920.649227393699792
0.03105.2013807904860.665678902568582
0.04105.5379677944980.591371543377383
0.05105.8146296688860.484969979072387
0.06106.0297353510630.392152021124913
0.07106.1953920456680.33066981233946
0.08106.3270718180550.299981244517359
0.09106.438141841850.291997674171873
0.1106.538059042020.297089119628869
0.11106.632520697330.30739894622391
0.12106.7243260099850.317042376658465
0.13106.8143279575510.322808759416532
0.14106.9022531887570.322986361707898
0.15106.9873329947670.317754963547427
0.16107.0687382780930.308398260373629
0.17107.1458313039890.296201684031586
0.18107.218265319150.28270143110282
0.19107.285978138220.268985349731543
0.2107.349130474620.255800067648078
0.21107.4080323194640.243407870249785
0.22107.4630850067010.232072010207321
0.23107.5147491103520.222211247832163
0.24107.5635344592440.214042248500516
0.25107.6100011404280.208193197122833
0.26107.6547594437110.205097140433804
0.27107.6984604241860.205098350752784
0.28107.741774521690.208502657940129
0.29107.7853610794150.215080565552725
0.3107.8298350419120.224600825050706
0.31107.8757379633260.236523790549568
0.32107.923518976960.250152087357508
0.33107.973528412010.264977797201499
0.34108.0260233639560.280828952005359
0.35108.0811817002730.297161082317082
0.36108.1391193562960.313933736284882
0.37108.19990558190.330812515407387
0.38108.2635719035560.347875112224205
0.39108.3301125804890.364916555912122
0.4108.3994767521040.381637672155447
0.41108.4715547846510.397665717381758
0.42108.5461630857910.412510578457548
0.43108.6230325378890.42567574090629
0.44108.7018055230410.436344718948479
0.45108.782045268950.444213690923258
0.46108.8632591239750.448801553456117
0.47108.944934749210.45007129423423
0.48109.0265856100910.448377279725044
0.49109.1078001133110.444136990469162
0.5109.1882877305440.438292547694503
0.51109.2679157274810.431901170926285
0.52109.3467316267520.426061915133866
0.53109.4249689232120.422015733471786
0.54109.5030362565940.42065537453595
0.55109.5814925614720.422807428456601
0.56109.661012086410.428988997817847
0.57109.7423433014910.43948279680026
0.58109.8262646823410.454234716957983
0.59109.9135386643760.472712521559776
0.6110.0048635053630.494762776431027
0.61110.1008222618830.519471754788464
0.62110.2018292337620.545660305017155
0.63110.3080771776330.572413848150138
0.64110.4194927092670.597655809781775
0.65110.5357112461940.61994462072117
0.66110.6560847968460.63746048730346
0.67110.7797342084040.648804950010192
0.68110.9056512542080.653309237407432
0.69111.0328456183220.651048055073025
0.7111.1605193981980.643400674447378
0.71111.2882404054090.632562751487273
0.72111.4160789427530.621905773475499
0.73111.5446738592970.614853752395044
0.74111.675203794490.614751789674725
0.75111.8092574630.623685979243135
0.76111.9486189608740.642012269225694
0.77112.0950048934050.668365994578782
0.78112.2498035259450.699687719084102
0.79112.4138670662690.732235690511776
0.8112.5873943417460.762346776131687
0.81112.7699146536010.78668962311092
0.82112.9603517952710.802826613291155
0.83113.1571219851080.809532336567265
0.84113.3582142451460.806241822200021
0.85113.5612259126050.79243256487558
0.86113.7633772064670.767393611024425
0.87113.961586768010.730173486802551
0.88114.1527166131350.680272523086758
0.89114.3340465718780.619224542449565
0.9114.5038949029210.551268073383502
0.91114.6621038080530.483627138454156
0.92114.8099797035760.424483884077846
0.93114.9493932667990.378236166840248
0.94115.0812092951960.340565359740889
0.95115.2038826690240.299611418535218
0.96115.3134043309750.244794355081501
0.97115.4051069033850.176954841950193
0.98115.4759881344760.111136513488469
0.99115.524812160390.0695337363556006


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')