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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 computationMon, 09 Feb 2015 15:44:55 +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/2015/Feb/09/t1423496706zhc3b0of32n704h.htm/, Retrieved Sat, 18 May 2024 04:34:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276912, Retrieved Sat, 18 May 2024 04:34:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGlenn Waem
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] [] [2015-02-09 15:44:55] [3d92bf785db8aeb0f2ab1bed7b74f49c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
105
101
95
93
84
87
116
120
117
109
105
107
109
109
108
107
99
103
131
137
135
124
118
121
121
118
113
107
100
102
130
136
133
120
112
109
110
106
102
98
92
92
120
127
124
114
108
106
111
110
104
100
96
98
122
134
133
125
118
116
118
116
111
108
102
102
129
136
137
126
119
117
120
116
110
104
98
98
124
130
131
121
114
111

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276912&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276912&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276912&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.42953534152483.25468411694882
0.0287.62048826717343.36833043078307
0.0389.74817848441262.99300318628789
0.0491.48072056926442.54461692678427
0.0592.84704807408282.34574016049232
0.0693.97479649774282.30734190961308
0.0794.95557068293462.24875452954892
0.0895.82482877191372.10528769309264
0.0996.58930572353031.9065675921537
0.197.25433303118171.71486598834632
0.1197.83491590753181.58199722571553
0.1298.35369396299291.52635340368693
0.1398.83397928575871.5323433659323
0.1499.29389539712151.56858421700448
0.1599.74400257358691.60680886516105
0.16100.1881477907221.63118742159847
0.17100.6260748883341.63876718918593
0.18101.0562475190821.63593211732842
0.19101.4778552069841.63273581649039
0.2101.8916356744821.63817713523482
0.21102.299669298191.65658476040797
0.22102.7045756001841.68659353611115
0.23103.1085827398511.7224112500731
0.24103.5128255141281.75635448951787
0.25103.9170453289521.78122947480037
0.26104.3196924917831.79207226648751
0.27104.7183142767371.78640379605351
0.28105.1100670600181.76474158755643
0.29105.4922065571231.72914534845461
0.3105.8624612103141.68296598747993
0.31106.2192527562781.62996882848652
0.32106.5617753451461.57400792703056
0.33106.8899717671351.51821233054668
0.34107.2044530989681.46583767341353
0.35107.5064021038481.41914815450008
0.36107.7974876847861.38046476203783
0.37108.0798029568881.35180032477144
0.38108.3558264539741.33513700049224
0.39108.6283963161831.33270978714154
0.4108.900681559851.34639661899253
0.41109.1761325597611.37791910604781
0.42109.4583942186751.42852408898864
0.43109.7511695204321.49829518272205
0.44110.0580280340371.58632396730922
0.45110.3821633578151.68983572243902
0.46110.7261150846091.80470916980448
0.47111.0914834083431.92510104802751
0.48111.4786755630232.04379855079767
0.49111.8867295026932.15293912026435
0.5112.3132581720322.24478268878672
0.51112.7545453156912.31224427729538
0.52113.2058016115232.35034684475117
0.53113.6615617548882.35665303291586
0.54114.1161752861392.33133008071985
0.55114.5643235696552.27776875468682
0.56115.0014880686492.20172913577722
0.57115.4243032008712.11038480074566
0.58115.8307487275872.01176302101705
0.59116.220166474491.91330210248225
0.6116.5931172509271.82120519012632
0.61116.9511197515621.73995802810065
0.62117.2963297949041.67179739424207
0.63117.6312238557571.61742542529626
0.64117.9583457586511.57577030048801
0.65118.2801607322431.5452688090291
0.66118.5990382013291.52441105460017
0.67118.9173559074571.51279253323858
0.68119.2376873232231.51118991633256
0.69119.5630086967151.52195510017985
0.7119.8968501855961.54857518583732
0.71120.2433251157411.59426785273775
0.72120.6070046239141.6610564843444
0.73120.9926546088511.74836609733831
0.74121.4049007495111.85316514310362
0.75121.8479126773171.97090839436768
0.76122.3251820339682.09602399484624
0.77122.8394093675542.22396196159943
0.78123.3924341898542.35107418302587
0.79123.9850849351912.47413734120476
0.8124.6168387654522.58858275658772
0.81125.2852884494032.68682187187605
0.82125.9855874511082.75813844892315
0.83126.710200874772.7899789408117
0.84127.4493178004962.77245723693104
0.85128.19210373452.70252282110409
0.86128.9286168506452.58682155903458
0.87129.651831011662.4422838689524
0.88130.3590183238342.2901673545349
0.89131.0518831745762.14969238858976
0.9131.7352435361362.0303262882628
0.91132.4144880168341.92954539334355
0.92133.0923454448311.83471817617346
0.93133.7658652768671.72576966474569
0.94134.4251322079051.58037001612053
0.95135.0552810504541.38492177474882
0.96135.6405380506781.15229956123287
0.97136.163367909140.915014128602971
0.98136.5932437617450.660510068395933
0.99136.8816335886440.322275417365249

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.4295353415248 & 3.25468411694882 \tabularnewline
0.02 & 87.6204882671734 & 3.36833043078307 \tabularnewline
0.03 & 89.7481784844126 & 2.99300318628789 \tabularnewline
0.04 & 91.4807205692644 & 2.54461692678427 \tabularnewline
0.05 & 92.8470480740828 & 2.34574016049232 \tabularnewline
0.06 & 93.9747964977428 & 2.30734190961308 \tabularnewline
0.07 & 94.9555706829346 & 2.24875452954892 \tabularnewline
0.08 & 95.8248287719137 & 2.10528769309264 \tabularnewline
0.09 & 96.5893057235303 & 1.9065675921537 \tabularnewline
0.1 & 97.2543330311817 & 1.71486598834632 \tabularnewline
0.11 & 97.8349159075318 & 1.58199722571553 \tabularnewline
0.12 & 98.3536939629929 & 1.52635340368693 \tabularnewline
0.13 & 98.8339792857587 & 1.5323433659323 \tabularnewline
0.14 & 99.2938953971215 & 1.56858421700448 \tabularnewline
0.15 & 99.7440025735869 & 1.60680886516105 \tabularnewline
0.16 & 100.188147790722 & 1.63118742159847 \tabularnewline
0.17 & 100.626074888334 & 1.63876718918593 \tabularnewline
0.18 & 101.056247519082 & 1.63593211732842 \tabularnewline
0.19 & 101.477855206984 & 1.63273581649039 \tabularnewline
0.2 & 101.891635674482 & 1.63817713523482 \tabularnewline
0.21 & 102.29966929819 & 1.65658476040797 \tabularnewline
0.22 & 102.704575600184 & 1.68659353611115 \tabularnewline
0.23 & 103.108582739851 & 1.7224112500731 \tabularnewline
0.24 & 103.512825514128 & 1.75635448951787 \tabularnewline
0.25 & 103.917045328952 & 1.78122947480037 \tabularnewline
0.26 & 104.319692491783 & 1.79207226648751 \tabularnewline
0.27 & 104.718314276737 & 1.78640379605351 \tabularnewline
0.28 & 105.110067060018 & 1.76474158755643 \tabularnewline
0.29 & 105.492206557123 & 1.72914534845461 \tabularnewline
0.3 & 105.862461210314 & 1.68296598747993 \tabularnewline
0.31 & 106.219252756278 & 1.62996882848652 \tabularnewline
0.32 & 106.561775345146 & 1.57400792703056 \tabularnewline
0.33 & 106.889971767135 & 1.51821233054668 \tabularnewline
0.34 & 107.204453098968 & 1.46583767341353 \tabularnewline
0.35 & 107.506402103848 & 1.41914815450008 \tabularnewline
0.36 & 107.797487684786 & 1.38046476203783 \tabularnewline
0.37 & 108.079802956888 & 1.35180032477144 \tabularnewline
0.38 & 108.355826453974 & 1.33513700049224 \tabularnewline
0.39 & 108.628396316183 & 1.33270978714154 \tabularnewline
0.4 & 108.90068155985 & 1.34639661899253 \tabularnewline
0.41 & 109.176132559761 & 1.37791910604781 \tabularnewline
0.42 & 109.458394218675 & 1.42852408898864 \tabularnewline
0.43 & 109.751169520432 & 1.49829518272205 \tabularnewline
0.44 & 110.058028034037 & 1.58632396730922 \tabularnewline
0.45 & 110.382163357815 & 1.68983572243902 \tabularnewline
0.46 & 110.726115084609 & 1.80470916980448 \tabularnewline
0.47 & 111.091483408343 & 1.92510104802751 \tabularnewline
0.48 & 111.478675563023 & 2.04379855079767 \tabularnewline
0.49 & 111.886729502693 & 2.15293912026435 \tabularnewline
0.5 & 112.313258172032 & 2.24478268878672 \tabularnewline
0.51 & 112.754545315691 & 2.31224427729538 \tabularnewline
0.52 & 113.205801611523 & 2.35034684475117 \tabularnewline
0.53 & 113.661561754888 & 2.35665303291586 \tabularnewline
0.54 & 114.116175286139 & 2.33133008071985 \tabularnewline
0.55 & 114.564323569655 & 2.27776875468682 \tabularnewline
0.56 & 115.001488068649 & 2.20172913577722 \tabularnewline
0.57 & 115.424303200871 & 2.11038480074566 \tabularnewline
0.58 & 115.830748727587 & 2.01176302101705 \tabularnewline
0.59 & 116.22016647449 & 1.91330210248225 \tabularnewline
0.6 & 116.593117250927 & 1.82120519012632 \tabularnewline
0.61 & 116.951119751562 & 1.73995802810065 \tabularnewline
0.62 & 117.296329794904 & 1.67179739424207 \tabularnewline
0.63 & 117.631223855757 & 1.61742542529626 \tabularnewline
0.64 & 117.958345758651 & 1.57577030048801 \tabularnewline
0.65 & 118.280160732243 & 1.5452688090291 \tabularnewline
0.66 & 118.599038201329 & 1.52441105460017 \tabularnewline
0.67 & 118.917355907457 & 1.51279253323858 \tabularnewline
0.68 & 119.237687323223 & 1.51118991633256 \tabularnewline
0.69 & 119.563008696715 & 1.52195510017985 \tabularnewline
0.7 & 119.896850185596 & 1.54857518583732 \tabularnewline
0.71 & 120.243325115741 & 1.59426785273775 \tabularnewline
0.72 & 120.607004623914 & 1.6610564843444 \tabularnewline
0.73 & 120.992654608851 & 1.74836609733831 \tabularnewline
0.74 & 121.404900749511 & 1.85316514310362 \tabularnewline
0.75 & 121.847912677317 & 1.97090839436768 \tabularnewline
0.76 & 122.325182033968 & 2.09602399484624 \tabularnewline
0.77 & 122.839409367554 & 2.22396196159943 \tabularnewline
0.78 & 123.392434189854 & 2.35107418302587 \tabularnewline
0.79 & 123.985084935191 & 2.47413734120476 \tabularnewline
0.8 & 124.616838765452 & 2.58858275658772 \tabularnewline
0.81 & 125.285288449403 & 2.68682187187605 \tabularnewline
0.82 & 125.985587451108 & 2.75813844892315 \tabularnewline
0.83 & 126.71020087477 & 2.7899789408117 \tabularnewline
0.84 & 127.449317800496 & 2.77245723693104 \tabularnewline
0.85 & 128.1921037345 & 2.70252282110409 \tabularnewline
0.86 & 128.928616850645 & 2.58682155903458 \tabularnewline
0.87 & 129.65183101166 & 2.4422838689524 \tabularnewline
0.88 & 130.359018323834 & 2.2901673545349 \tabularnewline
0.89 & 131.051883174576 & 2.14969238858976 \tabularnewline
0.9 & 131.735243536136 & 2.0303262882628 \tabularnewline
0.91 & 132.414488016834 & 1.92954539334355 \tabularnewline
0.92 & 133.092345444831 & 1.83471817617346 \tabularnewline
0.93 & 133.765865276867 & 1.72576966474569 \tabularnewline
0.94 & 134.425132207905 & 1.58037001612053 \tabularnewline
0.95 & 135.055281050454 & 1.38492177474882 \tabularnewline
0.96 & 135.640538050678 & 1.15229956123287 \tabularnewline
0.97 & 136.16336790914 & 0.915014128602971 \tabularnewline
0.98 & 136.593243761745 & 0.660510068395933 \tabularnewline
0.99 & 136.881633588644 & 0.322275417365249 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276912&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]85.4295353415248[/C][C]3.25468411694882[/C][/ROW]
[ROW][C]0.02[/C][C]87.6204882671734[/C][C]3.36833043078307[/C][/ROW]
[ROW][C]0.03[/C][C]89.7481784844126[/C][C]2.99300318628789[/C][/ROW]
[ROW][C]0.04[/C][C]91.4807205692644[/C][C]2.54461692678427[/C][/ROW]
[ROW][C]0.05[/C][C]92.8470480740828[/C][C]2.34574016049232[/C][/ROW]
[ROW][C]0.06[/C][C]93.9747964977428[/C][C]2.30734190961308[/C][/ROW]
[ROW][C]0.07[/C][C]94.9555706829346[/C][C]2.24875452954892[/C][/ROW]
[ROW][C]0.08[/C][C]95.8248287719137[/C][C]2.10528769309264[/C][/ROW]
[ROW][C]0.09[/C][C]96.5893057235303[/C][C]1.9065675921537[/C][/ROW]
[ROW][C]0.1[/C][C]97.2543330311817[/C][C]1.71486598834632[/C][/ROW]
[ROW][C]0.11[/C][C]97.8349159075318[/C][C]1.58199722571553[/C][/ROW]
[ROW][C]0.12[/C][C]98.3536939629929[/C][C]1.52635340368693[/C][/ROW]
[ROW][C]0.13[/C][C]98.8339792857587[/C][C]1.5323433659323[/C][/ROW]
[ROW][C]0.14[/C][C]99.2938953971215[/C][C]1.56858421700448[/C][/ROW]
[ROW][C]0.15[/C][C]99.7440025735869[/C][C]1.60680886516105[/C][/ROW]
[ROW][C]0.16[/C][C]100.188147790722[/C][C]1.63118742159847[/C][/ROW]
[ROW][C]0.17[/C][C]100.626074888334[/C][C]1.63876718918593[/C][/ROW]
[ROW][C]0.18[/C][C]101.056247519082[/C][C]1.63593211732842[/C][/ROW]
[ROW][C]0.19[/C][C]101.477855206984[/C][C]1.63273581649039[/C][/ROW]
[ROW][C]0.2[/C][C]101.891635674482[/C][C]1.63817713523482[/C][/ROW]
[ROW][C]0.21[/C][C]102.29966929819[/C][C]1.65658476040797[/C][/ROW]
[ROW][C]0.22[/C][C]102.704575600184[/C][C]1.68659353611115[/C][/ROW]
[ROW][C]0.23[/C][C]103.108582739851[/C][C]1.7224112500731[/C][/ROW]
[ROW][C]0.24[/C][C]103.512825514128[/C][C]1.75635448951787[/C][/ROW]
[ROW][C]0.25[/C][C]103.917045328952[/C][C]1.78122947480037[/C][/ROW]
[ROW][C]0.26[/C][C]104.319692491783[/C][C]1.79207226648751[/C][/ROW]
[ROW][C]0.27[/C][C]104.718314276737[/C][C]1.78640379605351[/C][/ROW]
[ROW][C]0.28[/C][C]105.110067060018[/C][C]1.76474158755643[/C][/ROW]
[ROW][C]0.29[/C][C]105.492206557123[/C][C]1.72914534845461[/C][/ROW]
[ROW][C]0.3[/C][C]105.862461210314[/C][C]1.68296598747993[/C][/ROW]
[ROW][C]0.31[/C][C]106.219252756278[/C][C]1.62996882848652[/C][/ROW]
[ROW][C]0.32[/C][C]106.561775345146[/C][C]1.57400792703056[/C][/ROW]
[ROW][C]0.33[/C][C]106.889971767135[/C][C]1.51821233054668[/C][/ROW]
[ROW][C]0.34[/C][C]107.204453098968[/C][C]1.46583767341353[/C][/ROW]
[ROW][C]0.35[/C][C]107.506402103848[/C][C]1.41914815450008[/C][/ROW]
[ROW][C]0.36[/C][C]107.797487684786[/C][C]1.38046476203783[/C][/ROW]
[ROW][C]0.37[/C][C]108.079802956888[/C][C]1.35180032477144[/C][/ROW]
[ROW][C]0.38[/C][C]108.355826453974[/C][C]1.33513700049224[/C][/ROW]
[ROW][C]0.39[/C][C]108.628396316183[/C][C]1.33270978714154[/C][/ROW]
[ROW][C]0.4[/C][C]108.90068155985[/C][C]1.34639661899253[/C][/ROW]
[ROW][C]0.41[/C][C]109.176132559761[/C][C]1.37791910604781[/C][/ROW]
[ROW][C]0.42[/C][C]109.458394218675[/C][C]1.42852408898864[/C][/ROW]
[ROW][C]0.43[/C][C]109.751169520432[/C][C]1.49829518272205[/C][/ROW]
[ROW][C]0.44[/C][C]110.058028034037[/C][C]1.58632396730922[/C][/ROW]
[ROW][C]0.45[/C][C]110.382163357815[/C][C]1.68983572243902[/C][/ROW]
[ROW][C]0.46[/C][C]110.726115084609[/C][C]1.80470916980448[/C][/ROW]
[ROW][C]0.47[/C][C]111.091483408343[/C][C]1.92510104802751[/C][/ROW]
[ROW][C]0.48[/C][C]111.478675563023[/C][C]2.04379855079767[/C][/ROW]
[ROW][C]0.49[/C][C]111.886729502693[/C][C]2.15293912026435[/C][/ROW]
[ROW][C]0.5[/C][C]112.313258172032[/C][C]2.24478268878672[/C][/ROW]
[ROW][C]0.51[/C][C]112.754545315691[/C][C]2.31224427729538[/C][/ROW]
[ROW][C]0.52[/C][C]113.205801611523[/C][C]2.35034684475117[/C][/ROW]
[ROW][C]0.53[/C][C]113.661561754888[/C][C]2.35665303291586[/C][/ROW]
[ROW][C]0.54[/C][C]114.116175286139[/C][C]2.33133008071985[/C][/ROW]
[ROW][C]0.55[/C][C]114.564323569655[/C][C]2.27776875468682[/C][/ROW]
[ROW][C]0.56[/C][C]115.001488068649[/C][C]2.20172913577722[/C][/ROW]
[ROW][C]0.57[/C][C]115.424303200871[/C][C]2.11038480074566[/C][/ROW]
[ROW][C]0.58[/C][C]115.830748727587[/C][C]2.01176302101705[/C][/ROW]
[ROW][C]0.59[/C][C]116.22016647449[/C][C]1.91330210248225[/C][/ROW]
[ROW][C]0.6[/C][C]116.593117250927[/C][C]1.82120519012632[/C][/ROW]
[ROW][C]0.61[/C][C]116.951119751562[/C][C]1.73995802810065[/C][/ROW]
[ROW][C]0.62[/C][C]117.296329794904[/C][C]1.67179739424207[/C][/ROW]
[ROW][C]0.63[/C][C]117.631223855757[/C][C]1.61742542529626[/C][/ROW]
[ROW][C]0.64[/C][C]117.958345758651[/C][C]1.57577030048801[/C][/ROW]
[ROW][C]0.65[/C][C]118.280160732243[/C][C]1.5452688090291[/C][/ROW]
[ROW][C]0.66[/C][C]118.599038201329[/C][C]1.52441105460017[/C][/ROW]
[ROW][C]0.67[/C][C]118.917355907457[/C][C]1.51279253323858[/C][/ROW]
[ROW][C]0.68[/C][C]119.237687323223[/C][C]1.51118991633256[/C][/ROW]
[ROW][C]0.69[/C][C]119.563008696715[/C][C]1.52195510017985[/C][/ROW]
[ROW][C]0.7[/C][C]119.896850185596[/C][C]1.54857518583732[/C][/ROW]
[ROW][C]0.71[/C][C]120.243325115741[/C][C]1.59426785273775[/C][/ROW]
[ROW][C]0.72[/C][C]120.607004623914[/C][C]1.6610564843444[/C][/ROW]
[ROW][C]0.73[/C][C]120.992654608851[/C][C]1.74836609733831[/C][/ROW]
[ROW][C]0.74[/C][C]121.404900749511[/C][C]1.85316514310362[/C][/ROW]
[ROW][C]0.75[/C][C]121.847912677317[/C][C]1.97090839436768[/C][/ROW]
[ROW][C]0.76[/C][C]122.325182033968[/C][C]2.09602399484624[/C][/ROW]
[ROW][C]0.77[/C][C]122.839409367554[/C][C]2.22396196159943[/C][/ROW]
[ROW][C]0.78[/C][C]123.392434189854[/C][C]2.35107418302587[/C][/ROW]
[ROW][C]0.79[/C][C]123.985084935191[/C][C]2.47413734120476[/C][/ROW]
[ROW][C]0.8[/C][C]124.616838765452[/C][C]2.58858275658772[/C][/ROW]
[ROW][C]0.81[/C][C]125.285288449403[/C][C]2.68682187187605[/C][/ROW]
[ROW][C]0.82[/C][C]125.985587451108[/C][C]2.75813844892315[/C][/ROW]
[ROW][C]0.83[/C][C]126.71020087477[/C][C]2.7899789408117[/C][/ROW]
[ROW][C]0.84[/C][C]127.449317800496[/C][C]2.77245723693104[/C][/ROW]
[ROW][C]0.85[/C][C]128.1921037345[/C][C]2.70252282110409[/C][/ROW]
[ROW][C]0.86[/C][C]128.928616850645[/C][C]2.58682155903458[/C][/ROW]
[ROW][C]0.87[/C][C]129.65183101166[/C][C]2.4422838689524[/C][/ROW]
[ROW][C]0.88[/C][C]130.359018323834[/C][C]2.2901673545349[/C][/ROW]
[ROW][C]0.89[/C][C]131.051883174576[/C][C]2.14969238858976[/C][/ROW]
[ROW][C]0.9[/C][C]131.735243536136[/C][C]2.0303262882628[/C][/ROW]
[ROW][C]0.91[/C][C]132.414488016834[/C][C]1.92954539334355[/C][/ROW]
[ROW][C]0.92[/C][C]133.092345444831[/C][C]1.83471817617346[/C][/ROW]
[ROW][C]0.93[/C][C]133.765865276867[/C][C]1.72576966474569[/C][/ROW]
[ROW][C]0.94[/C][C]134.425132207905[/C][C]1.58037001612053[/C][/ROW]
[ROW][C]0.95[/C][C]135.055281050454[/C][C]1.38492177474882[/C][/ROW]
[ROW][C]0.96[/C][C]135.640538050678[/C][C]1.15229956123287[/C][/ROW]
[ROW][C]0.97[/C][C]136.16336790914[/C][C]0.915014128602971[/C][/ROW]
[ROW][C]0.98[/C][C]136.593243761745[/C][C]0.660510068395933[/C][/ROW]
[ROW][C]0.99[/C][C]136.881633588644[/C][C]0.322275417365249[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276912&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276912&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
0.0185.42953534152483.25468411694882
0.0287.62048826717343.36833043078307
0.0389.74817848441262.99300318628789
0.0491.48072056926442.54461692678427
0.0592.84704807408282.34574016049232
0.0693.97479649774282.30734190961308
0.0794.95557068293462.24875452954892
0.0895.82482877191372.10528769309264
0.0996.58930572353031.9065675921537
0.197.25433303118171.71486598834632
0.1197.83491590753181.58199722571553
0.1298.35369396299291.52635340368693
0.1398.83397928575871.5323433659323
0.1499.29389539712151.56858421700448
0.1599.74400257358691.60680886516105
0.16100.1881477907221.63118742159847
0.17100.6260748883341.63876718918593
0.18101.0562475190821.63593211732842
0.19101.4778552069841.63273581649039
0.2101.8916356744821.63817713523482
0.21102.299669298191.65658476040797
0.22102.7045756001841.68659353611115
0.23103.1085827398511.7224112500731
0.24103.5128255141281.75635448951787
0.25103.9170453289521.78122947480037
0.26104.3196924917831.79207226648751
0.27104.7183142767371.78640379605351
0.28105.1100670600181.76474158755643
0.29105.4922065571231.72914534845461
0.3105.8624612103141.68296598747993
0.31106.2192527562781.62996882848652
0.32106.5617753451461.57400792703056
0.33106.8899717671351.51821233054668
0.34107.2044530989681.46583767341353
0.35107.5064021038481.41914815450008
0.36107.7974876847861.38046476203783
0.37108.0798029568881.35180032477144
0.38108.3558264539741.33513700049224
0.39108.6283963161831.33270978714154
0.4108.900681559851.34639661899253
0.41109.1761325597611.37791910604781
0.42109.4583942186751.42852408898864
0.43109.7511695204321.49829518272205
0.44110.0580280340371.58632396730922
0.45110.3821633578151.68983572243902
0.46110.7261150846091.80470916980448
0.47111.0914834083431.92510104802751
0.48111.4786755630232.04379855079767
0.49111.8867295026932.15293912026435
0.5112.3132581720322.24478268878672
0.51112.7545453156912.31224427729538
0.52113.2058016115232.35034684475117
0.53113.6615617548882.35665303291586
0.54114.1161752861392.33133008071985
0.55114.5643235696552.27776875468682
0.56115.0014880686492.20172913577722
0.57115.4243032008712.11038480074566
0.58115.8307487275872.01176302101705
0.59116.220166474491.91330210248225
0.6116.5931172509271.82120519012632
0.61116.9511197515621.73995802810065
0.62117.2963297949041.67179739424207
0.63117.6312238557571.61742542529626
0.64117.9583457586511.57577030048801
0.65118.2801607322431.5452688090291
0.66118.5990382013291.52441105460017
0.67118.9173559074571.51279253323858
0.68119.2376873232231.51118991633256
0.69119.5630086967151.52195510017985
0.7119.8968501855961.54857518583732
0.71120.2433251157411.59426785273775
0.72120.6070046239141.6610564843444
0.73120.9926546088511.74836609733831
0.74121.4049007495111.85316514310362
0.75121.8479126773171.97090839436768
0.76122.3251820339682.09602399484624
0.77122.8394093675542.22396196159943
0.78123.3924341898542.35107418302587
0.79123.9850849351912.47413734120476
0.8124.6168387654522.58858275658772
0.81125.2852884494032.68682187187605
0.82125.9855874511082.75813844892315
0.83126.710200874772.7899789408117
0.84127.4493178004962.77245723693104
0.85128.19210373452.70252282110409
0.86128.9286168506452.58682155903458
0.87129.651831011662.4422838689524
0.88130.3590183238342.2901673545349
0.89131.0518831745762.14969238858976
0.9131.7352435361362.0303262882628
0.91132.4144880168341.92954539334355
0.92133.0923454448311.83471817617346
0.93133.7658652768671.72576966474569
0.94134.4251322079051.58037001612053
0.95135.0552810504541.38492177474882
0.96135.6405380506781.15229956123287
0.97136.163367909140.915014128602971
0.98136.5932437617450.660510068395933
0.99136.8816335886440.322275417365249


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')