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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 Mar 2009 07:18:52 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/09/t1236604776ezu8q62tudqnqfk.htm/, Retrieved Sun, 28 Apr 2024 21:26:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38759, Retrieved Sun, 28 Apr 2024 21:26:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186

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] [Harrell-Davis per...] [2009-03-09 13:18:52] [1a4b490ae86a78f004f9a6b70ce3539b] [Current]
-   PD    [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2009-03-10 19:24:24] [e43857445179f9bbfaf3355c08c250c8]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18.09
18.13
18
17.72
17.62
17.13
17.39
17.09
17.14
17.38
16.8
16.51
16.01
15.05
13.56
15.22
14.91
15.13
15.25
14.61
14.87
15.1
15.22
15.46
14.96
14
14.2
13.9
13.63
13.32
13.8
14.5
14.12
13.88
14.11
14.26
14.71
14.52
14.32
14.69
15.25
15.04
14.82
14.5
14.72
14.6
14.58
14
14.75
14.41
15.19
14.96
14.83
14.25
14.32
14.93
14.65
15.65
15.65
15.61
15.95
15.83
15.77
16.7
16.69
16.4
16.77
16.78
16.84
16.68
16.67
16.3
16.37
16.6
16.72
16.82
17.5
17.2
17.29
17.2
17.2
17.32
17.16
17.41
17.31
17.3
17.34
17.19
17.05
17.07
17.07
16.81
16.81
16.96
17.05
17
16.77
16.66
16.2
16.26
15.84
15.85
15.71
15.84
15.73
15.77
15.3
15.41
15.4
15.61
15
14.12
14.01
13.46
13.85
13.92
13.59
13.67
13.05
12.87
12.28
11.88
12.49
11.9
10.8
10.99
10.15
10.07
10.05
10.31
9.94
9.65
9.74
9.85
9.96
9.63
9.43
8.77
9.53
9.5
9.78
9.9
9.93
10.35
9.79
9.63
9.02
9.25
9.11
8.95
9.3
9.13
9.75
9.65
9.27
9.59
9.58
9.98
9.57
9.6
9.64
9.46
9.19
9.02
8.9
9.12
8.86
8.94
9
9.23
9.39
9.62
9.9
9.8
9.2
9.87
9.6
9.37
9.21
9.15
8.7
8.2
8.1
6.68
7.7
8.2
7.55
7.53
7.02
6.6
6
3.95
4.91
5.15
5.7
1.93
1.36
1.1
0.98
1
1.1
1.06
1.01
0.93
0.89
0.9
0.88
0.85
0.84
0.94
1
1.1
1.15
1.05
1.06
0.99
0.93
0.84
0.9
0.86
0.78
0.77
0.6
0.57
0.62
0.62
0.58
0.6
0.73
0.75
0.63
0.71
0.68
0.64
0.66
0.69
0.72
0.92
0.85
0.95
1
1.15
1.07
1.01
0.99
0.95
0.92
0.94
0.96
1.05
1.04
1.1
1.14
1.12
1.19
1.35
1.62
1.43
1.45
1.47
1.35
1.15
1.46
1.3
1.3
1.5
1.52
1.63
1.9
1.65
1.5
1.38
1.39

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' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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' @ 72.249.127.135 \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38759&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' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38759&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38759&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' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.5959116274706470.0161856101097223
0.020.6248155100589970.0238639475935866
0.030.6583355192401580.0372628258048858
0.040.698607323624770.0475519578260113
0.050.7424723088169670.0560867471731343
0.060.7873046870247530.0593118492901392
0.070.8286776465395420.0542450350894449
0.080.8631801007249020.0461711226007925
0.090.8910197705486010.0398768259839628
0.10.9142069494071020.0361896800104817
0.110.9347478888746830.0350890959656949
0.120.9542488554348060.0361578596881287
0.130.9737837795103640.0384203246489894
0.140.993939865835350.0414161680039895
0.151.015158951089760.0454895541802870
0.161.038057854304170.0513458005677584
0.171.063612218882480.0600822454638019
0.181.09329424065490.0732257051662543
0.191.129047072481770.0918084763309572
0.21.173072690981800.116212912020069
0.211.228167440136930.149476937580837
0.221.299906868252180.204565744023365
0.231.401149577919250.310299868651934
0.241.556883075847560.505322604963475
0.251.804863142550210.817558687241254
0.262.187533146392781.23850601479382
0.272.735249522105481.70755207543137
0.283.448041974842512.12340175993035
0.294.287093133980492.38368806116327
0.35.182837509034392.4305418068093
0.316.056180049713722.27215596687222
0.326.841297678104661.96923148639981
0.337.499241035168961.60116294426702
0.348.01915905934291.23591267555068
0.358.411184964045160.916581728509643
0.368.69706509245170.662814528619082
0.378.902411069529840.477751626090884
0.389.051572113778550.354421684599347
0.399.164700142144270.27971613638136
0.49.256462798221780.238100983013871
0.419.336081448672550.214932379071458
0.429.408402670918480.199598240704092
0.439.4755763727360.187258416516900
0.449.538819890064220.177841066570142
0.459.599846286639230.174774380911717
0.469.66183315988190.183728940418682
0.479.730131384357960.212329299337925
0.489.812976420848870.270435878972408
0.499.922096817631940.369069776265342
0.510.07249912370940.516372238706159
0.5110.28039610411000.710170829505735
0.5210.55880139660270.932276070165671
0.5310.91176393120371.14726964213956
0.5411.32974291739601.31096101083654
0.5511.78896900716661.38538114113778
0.5612.25610656665461.35377415559732
0.5712.69680561605251.22745063883941
0.5813.08456666838811.04063226019938
0.5913.40622970770510.836400722967282
0.613.66235107400520.651724952193391
0.6113.86333236227020.507954601306548
0.6214.02378925042380.409689506113434
0.6314.15765085447500.349107597071335
0.6414.27536712515700.313287914651450
0.6514.38331641711230.290369415587185
0.6614.48468690473220.272813634618246
0.6714.58088533174690.257606485823701
0.6814.67274003576100.244528929549096
0.6914.76117661210000.234341997495626
0.714.847426651370.227826244929195
0.7114.93300858656380.225542208355476
0.7215.01965380233240.227860391983117
0.7315.10916170181170.23466395605835
0.7415.20305802445980.244601498133018
0.7515.30206022888900.25483339224587
0.7615.40569800497680.261877758976762
0.7715.51267552562940.264331921197815
0.7815.62221903705840.265267146176224
0.7915.73565616609820.271699024217555
0.815.85662808647870.288671492382678
0.8115.98883399853890.312448325302984
0.8216.13222365624940.329781772833436
0.8316.28047965309810.325742166044880
0.8416.42235526473590.293929471606242
0.8516.54670884681110.241624628515544
0.8616.64816361519670.186006022230846
0.8716.72975332840020.145112146863633
0.8816.80082787173580.128074597662541
0.8916.87112641389920.128585942026243
0.916.94451459963650.129481062172583
0.9117.01755428271030.118866208454175
0.9217.08476630748240.100033016777831
0.9317.14496746411450.084004732994954
0.9417.20198871500310.0764618462893921
0.9517.26011631129160.0729479322491747
0.9617.3227388333740.0706674990984149
0.9717.40848559385320.0936221922662444
0.9817.58164861865520.172874266742860
0.9917.90314798104420.214865288543209

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.595911627470647 & 0.0161856101097223 \tabularnewline
0.02 & 0.624815510058997 & 0.0238639475935866 \tabularnewline
0.03 & 0.658335519240158 & 0.0372628258048858 \tabularnewline
0.04 & 0.69860732362477 & 0.0475519578260113 \tabularnewline
0.05 & 0.742472308816967 & 0.0560867471731343 \tabularnewline
0.06 & 0.787304687024753 & 0.0593118492901392 \tabularnewline
0.07 & 0.828677646539542 & 0.0542450350894449 \tabularnewline
0.08 & 0.863180100724902 & 0.0461711226007925 \tabularnewline
0.09 & 0.891019770548601 & 0.0398768259839628 \tabularnewline
0.1 & 0.914206949407102 & 0.0361896800104817 \tabularnewline
0.11 & 0.934747888874683 & 0.0350890959656949 \tabularnewline
0.12 & 0.954248855434806 & 0.0361578596881287 \tabularnewline
0.13 & 0.973783779510364 & 0.0384203246489894 \tabularnewline
0.14 & 0.99393986583535 & 0.0414161680039895 \tabularnewline
0.15 & 1.01515895108976 & 0.0454895541802870 \tabularnewline
0.16 & 1.03805785430417 & 0.0513458005677584 \tabularnewline
0.17 & 1.06361221888248 & 0.0600822454638019 \tabularnewline
0.18 & 1.0932942406549 & 0.0732257051662543 \tabularnewline
0.19 & 1.12904707248177 & 0.0918084763309572 \tabularnewline
0.2 & 1.17307269098180 & 0.116212912020069 \tabularnewline
0.21 & 1.22816744013693 & 0.149476937580837 \tabularnewline
0.22 & 1.29990686825218 & 0.204565744023365 \tabularnewline
0.23 & 1.40114957791925 & 0.310299868651934 \tabularnewline
0.24 & 1.55688307584756 & 0.505322604963475 \tabularnewline
0.25 & 1.80486314255021 & 0.817558687241254 \tabularnewline
0.26 & 2.18753314639278 & 1.23850601479382 \tabularnewline
0.27 & 2.73524952210548 & 1.70755207543137 \tabularnewline
0.28 & 3.44804197484251 & 2.12340175993035 \tabularnewline
0.29 & 4.28709313398049 & 2.38368806116327 \tabularnewline
0.3 & 5.18283750903439 & 2.4305418068093 \tabularnewline
0.31 & 6.05618004971372 & 2.27215596687222 \tabularnewline
0.32 & 6.84129767810466 & 1.96923148639981 \tabularnewline
0.33 & 7.49924103516896 & 1.60116294426702 \tabularnewline
0.34 & 8.0191590593429 & 1.23591267555068 \tabularnewline
0.35 & 8.41118496404516 & 0.916581728509643 \tabularnewline
0.36 & 8.6970650924517 & 0.662814528619082 \tabularnewline
0.37 & 8.90241106952984 & 0.477751626090884 \tabularnewline
0.38 & 9.05157211377855 & 0.354421684599347 \tabularnewline
0.39 & 9.16470014214427 & 0.27971613638136 \tabularnewline
0.4 & 9.25646279822178 & 0.238100983013871 \tabularnewline
0.41 & 9.33608144867255 & 0.214932379071458 \tabularnewline
0.42 & 9.40840267091848 & 0.199598240704092 \tabularnewline
0.43 & 9.475576372736 & 0.187258416516900 \tabularnewline
0.44 & 9.53881989006422 & 0.177841066570142 \tabularnewline
0.45 & 9.59984628663923 & 0.174774380911717 \tabularnewline
0.46 & 9.6618331598819 & 0.183728940418682 \tabularnewline
0.47 & 9.73013138435796 & 0.212329299337925 \tabularnewline
0.48 & 9.81297642084887 & 0.270435878972408 \tabularnewline
0.49 & 9.92209681763194 & 0.369069776265342 \tabularnewline
0.5 & 10.0724991237094 & 0.516372238706159 \tabularnewline
0.51 & 10.2803961041100 & 0.710170829505735 \tabularnewline
0.52 & 10.5588013966027 & 0.932276070165671 \tabularnewline
0.53 & 10.9117639312037 & 1.14726964213956 \tabularnewline
0.54 & 11.3297429173960 & 1.31096101083654 \tabularnewline
0.55 & 11.7889690071666 & 1.38538114113778 \tabularnewline
0.56 & 12.2561065666546 & 1.35377415559732 \tabularnewline
0.57 & 12.6968056160525 & 1.22745063883941 \tabularnewline
0.58 & 13.0845666683881 & 1.04063226019938 \tabularnewline
0.59 & 13.4062297077051 & 0.836400722967282 \tabularnewline
0.6 & 13.6623510740052 & 0.651724952193391 \tabularnewline
0.61 & 13.8633323622702 & 0.507954601306548 \tabularnewline
0.62 & 14.0237892504238 & 0.409689506113434 \tabularnewline
0.63 & 14.1576508544750 & 0.349107597071335 \tabularnewline
0.64 & 14.2753671251570 & 0.313287914651450 \tabularnewline
0.65 & 14.3833164171123 & 0.290369415587185 \tabularnewline
0.66 & 14.4846869047322 & 0.272813634618246 \tabularnewline
0.67 & 14.5808853317469 & 0.257606485823701 \tabularnewline
0.68 & 14.6727400357610 & 0.244528929549096 \tabularnewline
0.69 & 14.7611766121000 & 0.234341997495626 \tabularnewline
0.7 & 14.84742665137 & 0.227826244929195 \tabularnewline
0.71 & 14.9330085865638 & 0.225542208355476 \tabularnewline
0.72 & 15.0196538023324 & 0.227860391983117 \tabularnewline
0.73 & 15.1091617018117 & 0.23466395605835 \tabularnewline
0.74 & 15.2030580244598 & 0.244601498133018 \tabularnewline
0.75 & 15.3020602288890 & 0.25483339224587 \tabularnewline
0.76 & 15.4056980049768 & 0.261877758976762 \tabularnewline
0.77 & 15.5126755256294 & 0.264331921197815 \tabularnewline
0.78 & 15.6222190370584 & 0.265267146176224 \tabularnewline
0.79 & 15.7356561660982 & 0.271699024217555 \tabularnewline
0.8 & 15.8566280864787 & 0.288671492382678 \tabularnewline
0.81 & 15.9888339985389 & 0.312448325302984 \tabularnewline
0.82 & 16.1322236562494 & 0.329781772833436 \tabularnewline
0.83 & 16.2804796530981 & 0.325742166044880 \tabularnewline
0.84 & 16.4223552647359 & 0.293929471606242 \tabularnewline
0.85 & 16.5467088468111 & 0.241624628515544 \tabularnewline
0.86 & 16.6481636151967 & 0.186006022230846 \tabularnewline
0.87 & 16.7297533284002 & 0.145112146863633 \tabularnewline
0.88 & 16.8008278717358 & 0.128074597662541 \tabularnewline
0.89 & 16.8711264138992 & 0.128585942026243 \tabularnewline
0.9 & 16.9445145996365 & 0.129481062172583 \tabularnewline
0.91 & 17.0175542827103 & 0.118866208454175 \tabularnewline
0.92 & 17.0847663074824 & 0.100033016777831 \tabularnewline
0.93 & 17.1449674641145 & 0.084004732994954 \tabularnewline
0.94 & 17.2019887150031 & 0.0764618462893921 \tabularnewline
0.95 & 17.2601163112916 & 0.0729479322491747 \tabularnewline
0.96 & 17.322738833374 & 0.0706674990984149 \tabularnewline
0.97 & 17.4084855938532 & 0.0936221922662444 \tabularnewline
0.98 & 17.5816486186552 & 0.172874266742860 \tabularnewline
0.99 & 17.9031479810442 & 0.214865288543209 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38759&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]0.595911627470647[/C][C]0.0161856101097223[/C][/ROW]
[ROW][C]0.02[/C][C]0.624815510058997[/C][C]0.0238639475935866[/C][/ROW]
[ROW][C]0.03[/C][C]0.658335519240158[/C][C]0.0372628258048858[/C][/ROW]
[ROW][C]0.04[/C][C]0.69860732362477[/C][C]0.0475519578260113[/C][/ROW]
[ROW][C]0.05[/C][C]0.742472308816967[/C][C]0.0560867471731343[/C][/ROW]
[ROW][C]0.06[/C][C]0.787304687024753[/C][C]0.0593118492901392[/C][/ROW]
[ROW][C]0.07[/C][C]0.828677646539542[/C][C]0.0542450350894449[/C][/ROW]
[ROW][C]0.08[/C][C]0.863180100724902[/C][C]0.0461711226007925[/C][/ROW]
[ROW][C]0.09[/C][C]0.891019770548601[/C][C]0.0398768259839628[/C][/ROW]
[ROW][C]0.1[/C][C]0.914206949407102[/C][C]0.0361896800104817[/C][/ROW]
[ROW][C]0.11[/C][C]0.934747888874683[/C][C]0.0350890959656949[/C][/ROW]
[ROW][C]0.12[/C][C]0.954248855434806[/C][C]0.0361578596881287[/C][/ROW]
[ROW][C]0.13[/C][C]0.973783779510364[/C][C]0.0384203246489894[/C][/ROW]
[ROW][C]0.14[/C][C]0.99393986583535[/C][C]0.0414161680039895[/C][/ROW]
[ROW][C]0.15[/C][C]1.01515895108976[/C][C]0.0454895541802870[/C][/ROW]
[ROW][C]0.16[/C][C]1.03805785430417[/C][C]0.0513458005677584[/C][/ROW]
[ROW][C]0.17[/C][C]1.06361221888248[/C][C]0.0600822454638019[/C][/ROW]
[ROW][C]0.18[/C][C]1.0932942406549[/C][C]0.0732257051662543[/C][/ROW]
[ROW][C]0.19[/C][C]1.12904707248177[/C][C]0.0918084763309572[/C][/ROW]
[ROW][C]0.2[/C][C]1.17307269098180[/C][C]0.116212912020069[/C][/ROW]
[ROW][C]0.21[/C][C]1.22816744013693[/C][C]0.149476937580837[/C][/ROW]
[ROW][C]0.22[/C][C]1.29990686825218[/C][C]0.204565744023365[/C][/ROW]
[ROW][C]0.23[/C][C]1.40114957791925[/C][C]0.310299868651934[/C][/ROW]
[ROW][C]0.24[/C][C]1.55688307584756[/C][C]0.505322604963475[/C][/ROW]
[ROW][C]0.25[/C][C]1.80486314255021[/C][C]0.817558687241254[/C][/ROW]
[ROW][C]0.26[/C][C]2.18753314639278[/C][C]1.23850601479382[/C][/ROW]
[ROW][C]0.27[/C][C]2.73524952210548[/C][C]1.70755207543137[/C][/ROW]
[ROW][C]0.28[/C][C]3.44804197484251[/C][C]2.12340175993035[/C][/ROW]
[ROW][C]0.29[/C][C]4.28709313398049[/C][C]2.38368806116327[/C][/ROW]
[ROW][C]0.3[/C][C]5.18283750903439[/C][C]2.4305418068093[/C][/ROW]
[ROW][C]0.31[/C][C]6.05618004971372[/C][C]2.27215596687222[/C][/ROW]
[ROW][C]0.32[/C][C]6.84129767810466[/C][C]1.96923148639981[/C][/ROW]
[ROW][C]0.33[/C][C]7.49924103516896[/C][C]1.60116294426702[/C][/ROW]
[ROW][C]0.34[/C][C]8.0191590593429[/C][C]1.23591267555068[/C][/ROW]
[ROW][C]0.35[/C][C]8.41118496404516[/C][C]0.916581728509643[/C][/ROW]
[ROW][C]0.36[/C][C]8.6970650924517[/C][C]0.662814528619082[/C][/ROW]
[ROW][C]0.37[/C][C]8.90241106952984[/C][C]0.477751626090884[/C][/ROW]
[ROW][C]0.38[/C][C]9.05157211377855[/C][C]0.354421684599347[/C][/ROW]
[ROW][C]0.39[/C][C]9.16470014214427[/C][C]0.27971613638136[/C][/ROW]
[ROW][C]0.4[/C][C]9.25646279822178[/C][C]0.238100983013871[/C][/ROW]
[ROW][C]0.41[/C][C]9.33608144867255[/C][C]0.214932379071458[/C][/ROW]
[ROW][C]0.42[/C][C]9.40840267091848[/C][C]0.199598240704092[/C][/ROW]
[ROW][C]0.43[/C][C]9.475576372736[/C][C]0.187258416516900[/C][/ROW]
[ROW][C]0.44[/C][C]9.53881989006422[/C][C]0.177841066570142[/C][/ROW]
[ROW][C]0.45[/C][C]9.59984628663923[/C][C]0.174774380911717[/C][/ROW]
[ROW][C]0.46[/C][C]9.6618331598819[/C][C]0.183728940418682[/C][/ROW]
[ROW][C]0.47[/C][C]9.73013138435796[/C][C]0.212329299337925[/C][/ROW]
[ROW][C]0.48[/C][C]9.81297642084887[/C][C]0.270435878972408[/C][/ROW]
[ROW][C]0.49[/C][C]9.92209681763194[/C][C]0.369069776265342[/C][/ROW]
[ROW][C]0.5[/C][C]10.0724991237094[/C][C]0.516372238706159[/C][/ROW]
[ROW][C]0.51[/C][C]10.2803961041100[/C][C]0.710170829505735[/C][/ROW]
[ROW][C]0.52[/C][C]10.5588013966027[/C][C]0.932276070165671[/C][/ROW]
[ROW][C]0.53[/C][C]10.9117639312037[/C][C]1.14726964213956[/C][/ROW]
[ROW][C]0.54[/C][C]11.3297429173960[/C][C]1.31096101083654[/C][/ROW]
[ROW][C]0.55[/C][C]11.7889690071666[/C][C]1.38538114113778[/C][/ROW]
[ROW][C]0.56[/C][C]12.2561065666546[/C][C]1.35377415559732[/C][/ROW]
[ROW][C]0.57[/C][C]12.6968056160525[/C][C]1.22745063883941[/C][/ROW]
[ROW][C]0.58[/C][C]13.0845666683881[/C][C]1.04063226019938[/C][/ROW]
[ROW][C]0.59[/C][C]13.4062297077051[/C][C]0.836400722967282[/C][/ROW]
[ROW][C]0.6[/C][C]13.6623510740052[/C][C]0.651724952193391[/C][/ROW]
[ROW][C]0.61[/C][C]13.8633323622702[/C][C]0.507954601306548[/C][/ROW]
[ROW][C]0.62[/C][C]14.0237892504238[/C][C]0.409689506113434[/C][/ROW]
[ROW][C]0.63[/C][C]14.1576508544750[/C][C]0.349107597071335[/C][/ROW]
[ROW][C]0.64[/C][C]14.2753671251570[/C][C]0.313287914651450[/C][/ROW]
[ROW][C]0.65[/C][C]14.3833164171123[/C][C]0.290369415587185[/C][/ROW]
[ROW][C]0.66[/C][C]14.4846869047322[/C][C]0.272813634618246[/C][/ROW]
[ROW][C]0.67[/C][C]14.5808853317469[/C][C]0.257606485823701[/C][/ROW]
[ROW][C]0.68[/C][C]14.6727400357610[/C][C]0.244528929549096[/C][/ROW]
[ROW][C]0.69[/C][C]14.7611766121000[/C][C]0.234341997495626[/C][/ROW]
[ROW][C]0.7[/C][C]14.84742665137[/C][C]0.227826244929195[/C][/ROW]
[ROW][C]0.71[/C][C]14.9330085865638[/C][C]0.225542208355476[/C][/ROW]
[ROW][C]0.72[/C][C]15.0196538023324[/C][C]0.227860391983117[/C][/ROW]
[ROW][C]0.73[/C][C]15.1091617018117[/C][C]0.23466395605835[/C][/ROW]
[ROW][C]0.74[/C][C]15.2030580244598[/C][C]0.244601498133018[/C][/ROW]
[ROW][C]0.75[/C][C]15.3020602288890[/C][C]0.25483339224587[/C][/ROW]
[ROW][C]0.76[/C][C]15.4056980049768[/C][C]0.261877758976762[/C][/ROW]
[ROW][C]0.77[/C][C]15.5126755256294[/C][C]0.264331921197815[/C][/ROW]
[ROW][C]0.78[/C][C]15.6222190370584[/C][C]0.265267146176224[/C][/ROW]
[ROW][C]0.79[/C][C]15.7356561660982[/C][C]0.271699024217555[/C][/ROW]
[ROW][C]0.8[/C][C]15.8566280864787[/C][C]0.288671492382678[/C][/ROW]
[ROW][C]0.81[/C][C]15.9888339985389[/C][C]0.312448325302984[/C][/ROW]
[ROW][C]0.82[/C][C]16.1322236562494[/C][C]0.329781772833436[/C][/ROW]
[ROW][C]0.83[/C][C]16.2804796530981[/C][C]0.325742166044880[/C][/ROW]
[ROW][C]0.84[/C][C]16.4223552647359[/C][C]0.293929471606242[/C][/ROW]
[ROW][C]0.85[/C][C]16.5467088468111[/C][C]0.241624628515544[/C][/ROW]
[ROW][C]0.86[/C][C]16.6481636151967[/C][C]0.186006022230846[/C][/ROW]
[ROW][C]0.87[/C][C]16.7297533284002[/C][C]0.145112146863633[/C][/ROW]
[ROW][C]0.88[/C][C]16.8008278717358[/C][C]0.128074597662541[/C][/ROW]
[ROW][C]0.89[/C][C]16.8711264138992[/C][C]0.128585942026243[/C][/ROW]
[ROW][C]0.9[/C][C]16.9445145996365[/C][C]0.129481062172583[/C][/ROW]
[ROW][C]0.91[/C][C]17.0175542827103[/C][C]0.118866208454175[/C][/ROW]
[ROW][C]0.92[/C][C]17.0847663074824[/C][C]0.100033016777831[/C][/ROW]
[ROW][C]0.93[/C][C]17.1449674641145[/C][C]0.084004732994954[/C][/ROW]
[ROW][C]0.94[/C][C]17.2019887150031[/C][C]0.0764618462893921[/C][/ROW]
[ROW][C]0.95[/C][C]17.2601163112916[/C][C]0.0729479322491747[/C][/ROW]
[ROW][C]0.96[/C][C]17.322738833374[/C][C]0.0706674990984149[/C][/ROW]
[ROW][C]0.97[/C][C]17.4084855938532[/C][C]0.0936221922662444[/C][/ROW]
[ROW][C]0.98[/C][C]17.5816486186552[/C][C]0.172874266742860[/C][/ROW]
[ROW][C]0.99[/C][C]17.9031479810442[/C][C]0.214865288543209[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38759&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38759&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
0.010.5959116274706470.0161856101097223
0.020.6248155100589970.0238639475935866
0.030.6583355192401580.0372628258048858
0.040.698607323624770.0475519578260113
0.050.7424723088169670.0560867471731343
0.060.7873046870247530.0593118492901392
0.070.8286776465395420.0542450350894449
0.080.8631801007249020.0461711226007925
0.090.8910197705486010.0398768259839628
0.10.9142069494071020.0361896800104817
0.110.9347478888746830.0350890959656949
0.120.9542488554348060.0361578596881287
0.130.9737837795103640.0384203246489894
0.140.993939865835350.0414161680039895
0.151.015158951089760.0454895541802870
0.161.038057854304170.0513458005677584
0.171.063612218882480.0600822454638019
0.181.09329424065490.0732257051662543
0.191.129047072481770.0918084763309572
0.21.173072690981800.116212912020069
0.211.228167440136930.149476937580837
0.221.299906868252180.204565744023365
0.231.401149577919250.310299868651934
0.241.556883075847560.505322604963475
0.251.804863142550210.817558687241254
0.262.187533146392781.23850601479382
0.272.735249522105481.70755207543137
0.283.448041974842512.12340175993035
0.294.287093133980492.38368806116327
0.35.182837509034392.4305418068093
0.316.056180049713722.27215596687222
0.326.841297678104661.96923148639981
0.337.499241035168961.60116294426702
0.348.01915905934291.23591267555068
0.358.411184964045160.916581728509643
0.368.69706509245170.662814528619082
0.378.902411069529840.477751626090884
0.389.051572113778550.354421684599347
0.399.164700142144270.27971613638136
0.49.256462798221780.238100983013871
0.419.336081448672550.214932379071458
0.429.408402670918480.199598240704092
0.439.4755763727360.187258416516900
0.449.538819890064220.177841066570142
0.459.599846286639230.174774380911717
0.469.66183315988190.183728940418682
0.479.730131384357960.212329299337925
0.489.812976420848870.270435878972408
0.499.922096817631940.369069776265342
0.510.07249912370940.516372238706159
0.5110.28039610411000.710170829505735
0.5210.55880139660270.932276070165671
0.5310.91176393120371.14726964213956
0.5411.32974291739601.31096101083654
0.5511.78896900716661.38538114113778
0.5612.25610656665461.35377415559732
0.5712.69680561605251.22745063883941
0.5813.08456666838811.04063226019938
0.5913.40622970770510.836400722967282
0.613.66235107400520.651724952193391
0.6113.86333236227020.507954601306548
0.6214.02378925042380.409689506113434
0.6314.15765085447500.349107597071335
0.6414.27536712515700.313287914651450
0.6514.38331641711230.290369415587185
0.6614.48468690473220.272813634618246
0.6714.58088533174690.257606485823701
0.6814.67274003576100.244528929549096
0.6914.76117661210000.234341997495626
0.714.847426651370.227826244929195
0.7114.93300858656380.225542208355476
0.7215.01965380233240.227860391983117
0.7315.10916170181170.23466395605835
0.7415.20305802445980.244601498133018
0.7515.30206022888900.25483339224587
0.7615.40569800497680.261877758976762
0.7715.51267552562940.264331921197815
0.7815.62221903705840.265267146176224
0.7915.73565616609820.271699024217555
0.815.85662808647870.288671492382678
0.8115.98883399853890.312448325302984
0.8216.13222365624940.329781772833436
0.8316.28047965309810.325742166044880
0.8416.42235526473590.293929471606242
0.8516.54670884681110.241624628515544
0.8616.64816361519670.186006022230846
0.8716.72975332840020.145112146863633
0.8816.80082787173580.128074597662541
0.8916.87112641389920.128585942026243
0.916.94451459963650.129481062172583
0.9117.01755428271030.118866208454175
0.9217.08476630748240.100033016777831
0.9317.14496746411450.084004732994954
0.9417.20198871500310.0764618462893921
0.9517.26011631129160.0729479322491747
0.9617.3227388333740.0706674990984149
0.9717.40848559385320.0936221922662444
0.9817.58164861865520.172874266742860
0.9917.90314798104420.214865288543209


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')