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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 07:21:06 -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/t13184185550kkjyqv4y6qgyqi.htm/, Retrieved Fri, 10 May 2024 06:17:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128313, Retrieved Fri, 10 May 2024 06:17:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact85

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...] [2011-10-12 11:21:06] [1dca9aa876cba4edc5cb0d742d3acdc5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
48,6
48,9
50
49,3
51
47,7
43,4
42,6
44,1
46,8
47,9
48,5
49,7
48
48,2
47,3
46,6
45,6
47,7
48,1
47,6
46,3
46,1
46,7
47,1
46,7
46,3
45,9
46,6
49
54,1
59,2
63,8
62,5
59,5
56,9
54,4
54,7
53,3
52,9
54,8
52,6
49,1
52,6
53,6
52,7
55,8
57,9
60,6
61,9
65,5
67,5
65,5
62,2
55,5
52,3
52,5
50,8
50,9
51,5
51,1
51,1
54,3
51,9
52,4
53,4
56
53,4
53,8
53,8
51,6
54,2
55,7
59,2
59,8
61,6
65,8
64,2
67
62,8
65,5
75,2
80,9
83,2
83,7
86,4
85,9
80,4
81,8
87,5
83,7
87
99,7
101,4
101,9
115,7
123,2
136,9
146,8
149,6
146,5
157
147,9
133,6
128,7
100,8
91,8
89,3
96,7
91,6
93,3
93,3
101
100,4
86,9
83,9
80,3
87,7
92,7
95,5
92
87,4
86,8
83,7
85
81,7
90,9
101,5
113,8
120,1
122,1
132,5

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=128313&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=128313&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128313&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
0.0143.29456065368350.926389515936618
0.0244.3053548311431.08866230892651
0.0345.17427772404590.900251986990238
0.0445.77008883374420.601828000342364
0.0546.13786552109350.411818580391931
0.0646.3764563277720.339617219421277
0.0746.56044202562480.336469731341808
0.0846.73017857007670.372617462081691
0.0946.90464640678950.426369436426454
0.147.09028130174250.47714982117056
0.1147.28567039139640.512314548381635
0.1247.48605453044920.532481229503125
0.1347.68768795049820.548215407525229
0.1447.89034713428320.572617802079578
0.1548.09734935210110.613989267684462
0.1648.31394380772790.673937238138704
0.1748.54537076428060.749030662350677
0.1848.7953802742240.83283265910201
0.1949.0653685640570.916837066224718
0.249.35402757951670.991676601984072
0.2149.65746192233821.04824969531798
0.2249.96980498730921.08076110305891
0.2350.28427383650111.08765279713118
0.2450.59440012328171.07255533807308
0.2550.89505474695921.04192567989878
0.2651.18297063406581.0031062557509
0.2751.45671218059950.962153192734641
0.2851.71627730301580.922553082076755
0.2951.96260996799070.88652037147905
0.352.19722988582490.85545402496203
0.3152.4220415635630.830936784795951
0.3252.63927648093210.814613162836917
0.3352.85149975722940.808076869357537
0.3453.06165136977290.813293368194436
0.3553.27313258006710.832318610532131
0.3653.48994900505480.868106817638044
0.3753.71688236228360.924832466727032
0.3853.95961340729421.00729354087609
0.3954.22469283782521.11904956573674
0.454.51927263812241.26211798355314
0.4154.85056499140651.43545612803396
0.4255.22507382300991.63391026166381
0.4355.64772454366581.84837120245023
0.4456.121079298812.06706753585385
0.4556.64484856914782.27683800769324
0.4657.21588248667522.46560051398609
0.4757.82874739701012.62504385812606
0.4858.47688298876322.75312698676968
0.4959.15422259175762.85545400346565
0.559.85707078284342.94576149905581
0.5160.58597581779843.04580147139224
0.5261.34729407923853.18365222284401
0.5362.15409736741073.39034049114743
0.5463.02602333071223.6944331626473
0.5563.98766542856934.11391529345288
0.5665.06523383287394.6475280710227
0.5766.28157419764095.26830835833064
0.5867.65019863142955.92155480505693
0.5969.16960554886196.53143706544515
0.670.81955691106357.01258200012328
0.6172.56084913484387.28786966420896
0.6274.33933293456997.3069882340666
0.6376.09368259492137.05964547877298
0.6477.76514387427166.57818713110051
0.6579.30674964185375.93046119268999
0.6680.68964367875685.20293976547601
0.6781.90516277677694.48165266525196
0.6882.96276481607813.83575679993123
0.6983.88513763461393.30862492784571
0.784.70238355538752.91709367531885
0.7185.44691200697212.65814996792601
0.7286.14985877679642.51772932696786
0.7386.83899468078272.47708443348116
0.7487.53764464242662.51521694335531
0.7588.2642476535212.60906830773891
0.7689.03258342224362.73736126572349
0.7789.85288197867572.88470462557904
0.7890.73368174575323.04673061905977
0.7991.68358853601773.22793719470878
0.892.71174796362463.43326484469635
0.8193.82669993753543.65659789428921
0.8295.03540364083043.88142918083504
0.8396.34624533527214.10000300147938
0.8497.77926636113494.34700140711506
0.8599.38178102607214.72275437559462
0.86101.2394209728025.36351131590109
0.87103.4677068157476.33787403291988
0.88106.1757386082667.53976248652197
0.89109.4134411067598.69188477119651
0.9113.1348209127519.47614964995116
0.91117.2103633217479.71413777554967
0.92121.4924333849879.47562405293469
0.93125.8963557932679.02566946646965
0.94130.4327880833638.63557956159784
0.95135.1253189637828.31437238252381
0.96139.8196528629847.57827112580108
0.97144.1385048530315.8768531576413
0.98148.066531332323.95408222213793
0.99152.654464684694.62249171594874

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 43.2945606536835 & 0.926389515936618 \tabularnewline
0.02 & 44.305354831143 & 1.08866230892651 \tabularnewline
0.03 & 45.1742777240459 & 0.900251986990238 \tabularnewline
0.04 & 45.7700888337442 & 0.601828000342364 \tabularnewline
0.05 & 46.1378655210935 & 0.411818580391931 \tabularnewline
0.06 & 46.376456327772 & 0.339617219421277 \tabularnewline
0.07 & 46.5604420256248 & 0.336469731341808 \tabularnewline
0.08 & 46.7301785700767 & 0.372617462081691 \tabularnewline
0.09 & 46.9046464067895 & 0.426369436426454 \tabularnewline
0.1 & 47.0902813017425 & 0.47714982117056 \tabularnewline
0.11 & 47.2856703913964 & 0.512314548381635 \tabularnewline
0.12 & 47.4860545304492 & 0.532481229503125 \tabularnewline
0.13 & 47.6876879504982 & 0.548215407525229 \tabularnewline
0.14 & 47.8903471342832 & 0.572617802079578 \tabularnewline
0.15 & 48.0973493521011 & 0.613989267684462 \tabularnewline
0.16 & 48.3139438077279 & 0.673937238138704 \tabularnewline
0.17 & 48.5453707642806 & 0.749030662350677 \tabularnewline
0.18 & 48.795380274224 & 0.83283265910201 \tabularnewline
0.19 & 49.065368564057 & 0.916837066224718 \tabularnewline
0.2 & 49.3540275795167 & 0.991676601984072 \tabularnewline
0.21 & 49.6574619223382 & 1.04824969531798 \tabularnewline
0.22 & 49.9698049873092 & 1.08076110305891 \tabularnewline
0.23 & 50.2842738365011 & 1.08765279713118 \tabularnewline
0.24 & 50.5944001232817 & 1.07255533807308 \tabularnewline
0.25 & 50.8950547469592 & 1.04192567989878 \tabularnewline
0.26 & 51.1829706340658 & 1.0031062557509 \tabularnewline
0.27 & 51.4567121805995 & 0.962153192734641 \tabularnewline
0.28 & 51.7162773030158 & 0.922553082076755 \tabularnewline
0.29 & 51.9626099679907 & 0.88652037147905 \tabularnewline
0.3 & 52.1972298858249 & 0.85545402496203 \tabularnewline
0.31 & 52.422041563563 & 0.830936784795951 \tabularnewline
0.32 & 52.6392764809321 & 0.814613162836917 \tabularnewline
0.33 & 52.8514997572294 & 0.808076869357537 \tabularnewline
0.34 & 53.0616513697729 & 0.813293368194436 \tabularnewline
0.35 & 53.2731325800671 & 0.832318610532131 \tabularnewline
0.36 & 53.4899490050548 & 0.868106817638044 \tabularnewline
0.37 & 53.7168823622836 & 0.924832466727032 \tabularnewline
0.38 & 53.9596134072942 & 1.00729354087609 \tabularnewline
0.39 & 54.2246928378252 & 1.11904956573674 \tabularnewline
0.4 & 54.5192726381224 & 1.26211798355314 \tabularnewline
0.41 & 54.8505649914065 & 1.43545612803396 \tabularnewline
0.42 & 55.2250738230099 & 1.63391026166381 \tabularnewline
0.43 & 55.6477245436658 & 1.84837120245023 \tabularnewline
0.44 & 56.12107929881 & 2.06706753585385 \tabularnewline
0.45 & 56.6448485691478 & 2.27683800769324 \tabularnewline
0.46 & 57.2158824866752 & 2.46560051398609 \tabularnewline
0.47 & 57.8287473970101 & 2.62504385812606 \tabularnewline
0.48 & 58.4768829887632 & 2.75312698676968 \tabularnewline
0.49 & 59.1542225917576 & 2.85545400346565 \tabularnewline
0.5 & 59.8570707828434 & 2.94576149905581 \tabularnewline
0.51 & 60.5859758177984 & 3.04580147139224 \tabularnewline
0.52 & 61.3472940792385 & 3.18365222284401 \tabularnewline
0.53 & 62.1540973674107 & 3.39034049114743 \tabularnewline
0.54 & 63.0260233307122 & 3.6944331626473 \tabularnewline
0.55 & 63.9876654285693 & 4.11391529345288 \tabularnewline
0.56 & 65.0652338328739 & 4.6475280710227 \tabularnewline
0.57 & 66.2815741976409 & 5.26830835833064 \tabularnewline
0.58 & 67.6501986314295 & 5.92155480505693 \tabularnewline
0.59 & 69.1696055488619 & 6.53143706544515 \tabularnewline
0.6 & 70.8195569110635 & 7.01258200012328 \tabularnewline
0.61 & 72.5608491348438 & 7.28786966420896 \tabularnewline
0.62 & 74.3393329345699 & 7.3069882340666 \tabularnewline
0.63 & 76.0936825949213 & 7.05964547877298 \tabularnewline
0.64 & 77.7651438742716 & 6.57818713110051 \tabularnewline
0.65 & 79.3067496418537 & 5.93046119268999 \tabularnewline
0.66 & 80.6896436787568 & 5.20293976547601 \tabularnewline
0.67 & 81.9051627767769 & 4.48165266525196 \tabularnewline
0.68 & 82.9627648160781 & 3.83575679993123 \tabularnewline
0.69 & 83.8851376346139 & 3.30862492784571 \tabularnewline
0.7 & 84.7023835553875 & 2.91709367531885 \tabularnewline
0.71 & 85.4469120069721 & 2.65814996792601 \tabularnewline
0.72 & 86.1498587767964 & 2.51772932696786 \tabularnewline
0.73 & 86.8389946807827 & 2.47708443348116 \tabularnewline
0.74 & 87.5376446424266 & 2.51521694335531 \tabularnewline
0.75 & 88.264247653521 & 2.60906830773891 \tabularnewline
0.76 & 89.0325834222436 & 2.73736126572349 \tabularnewline
0.77 & 89.8528819786757 & 2.88470462557904 \tabularnewline
0.78 & 90.7336817457532 & 3.04673061905977 \tabularnewline
0.79 & 91.6835885360177 & 3.22793719470878 \tabularnewline
0.8 & 92.7117479636246 & 3.43326484469635 \tabularnewline
0.81 & 93.8266999375354 & 3.65659789428921 \tabularnewline
0.82 & 95.0354036408304 & 3.88142918083504 \tabularnewline
0.83 & 96.3462453352721 & 4.10000300147938 \tabularnewline
0.84 & 97.7792663611349 & 4.34700140711506 \tabularnewline
0.85 & 99.3817810260721 & 4.72275437559462 \tabularnewline
0.86 & 101.239420972802 & 5.36351131590109 \tabularnewline
0.87 & 103.467706815747 & 6.33787403291988 \tabularnewline
0.88 & 106.175738608266 & 7.53976248652197 \tabularnewline
0.89 & 109.413441106759 & 8.69188477119651 \tabularnewline
0.9 & 113.134820912751 & 9.47614964995116 \tabularnewline
0.91 & 117.210363321747 & 9.71413777554967 \tabularnewline
0.92 & 121.492433384987 & 9.47562405293469 \tabularnewline
0.93 & 125.896355793267 & 9.02566946646965 \tabularnewline
0.94 & 130.432788083363 & 8.63557956159784 \tabularnewline
0.95 & 135.125318963782 & 8.31437238252381 \tabularnewline
0.96 & 139.819652862984 & 7.57827112580108 \tabularnewline
0.97 & 144.138504853031 & 5.8768531576413 \tabularnewline
0.98 & 148.06653133232 & 3.95408222213793 \tabularnewline
0.99 & 152.65446468469 & 4.62249171594874 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128313&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]43.2945606536835[/C][C]0.926389515936618[/C][/ROW]
[ROW][C]0.02[/C][C]44.305354831143[/C][C]1.08866230892651[/C][/ROW]
[ROW][C]0.03[/C][C]45.1742777240459[/C][C]0.900251986990238[/C][/ROW]
[ROW][C]0.04[/C][C]45.7700888337442[/C][C]0.601828000342364[/C][/ROW]
[ROW][C]0.05[/C][C]46.1378655210935[/C][C]0.411818580391931[/C][/ROW]
[ROW][C]0.06[/C][C]46.376456327772[/C][C]0.339617219421277[/C][/ROW]
[ROW][C]0.07[/C][C]46.5604420256248[/C][C]0.336469731341808[/C][/ROW]
[ROW][C]0.08[/C][C]46.7301785700767[/C][C]0.372617462081691[/C][/ROW]
[ROW][C]0.09[/C][C]46.9046464067895[/C][C]0.426369436426454[/C][/ROW]
[ROW][C]0.1[/C][C]47.0902813017425[/C][C]0.47714982117056[/C][/ROW]
[ROW][C]0.11[/C][C]47.2856703913964[/C][C]0.512314548381635[/C][/ROW]
[ROW][C]0.12[/C][C]47.4860545304492[/C][C]0.532481229503125[/C][/ROW]
[ROW][C]0.13[/C][C]47.6876879504982[/C][C]0.548215407525229[/C][/ROW]
[ROW][C]0.14[/C][C]47.8903471342832[/C][C]0.572617802079578[/C][/ROW]
[ROW][C]0.15[/C][C]48.0973493521011[/C][C]0.613989267684462[/C][/ROW]
[ROW][C]0.16[/C][C]48.3139438077279[/C][C]0.673937238138704[/C][/ROW]
[ROW][C]0.17[/C][C]48.5453707642806[/C][C]0.749030662350677[/C][/ROW]
[ROW][C]0.18[/C][C]48.795380274224[/C][C]0.83283265910201[/C][/ROW]
[ROW][C]0.19[/C][C]49.065368564057[/C][C]0.916837066224718[/C][/ROW]
[ROW][C]0.2[/C][C]49.3540275795167[/C][C]0.991676601984072[/C][/ROW]
[ROW][C]0.21[/C][C]49.6574619223382[/C][C]1.04824969531798[/C][/ROW]
[ROW][C]0.22[/C][C]49.9698049873092[/C][C]1.08076110305891[/C][/ROW]
[ROW][C]0.23[/C][C]50.2842738365011[/C][C]1.08765279713118[/C][/ROW]
[ROW][C]0.24[/C][C]50.5944001232817[/C][C]1.07255533807308[/C][/ROW]
[ROW][C]0.25[/C][C]50.8950547469592[/C][C]1.04192567989878[/C][/ROW]
[ROW][C]0.26[/C][C]51.1829706340658[/C][C]1.0031062557509[/C][/ROW]
[ROW][C]0.27[/C][C]51.4567121805995[/C][C]0.962153192734641[/C][/ROW]
[ROW][C]0.28[/C][C]51.7162773030158[/C][C]0.922553082076755[/C][/ROW]
[ROW][C]0.29[/C][C]51.9626099679907[/C][C]0.88652037147905[/C][/ROW]
[ROW][C]0.3[/C][C]52.1972298858249[/C][C]0.85545402496203[/C][/ROW]
[ROW][C]0.31[/C][C]52.422041563563[/C][C]0.830936784795951[/C][/ROW]
[ROW][C]0.32[/C][C]52.6392764809321[/C][C]0.814613162836917[/C][/ROW]
[ROW][C]0.33[/C][C]52.8514997572294[/C][C]0.808076869357537[/C][/ROW]
[ROW][C]0.34[/C][C]53.0616513697729[/C][C]0.813293368194436[/C][/ROW]
[ROW][C]0.35[/C][C]53.2731325800671[/C][C]0.832318610532131[/C][/ROW]
[ROW][C]0.36[/C][C]53.4899490050548[/C][C]0.868106817638044[/C][/ROW]
[ROW][C]0.37[/C][C]53.7168823622836[/C][C]0.924832466727032[/C][/ROW]
[ROW][C]0.38[/C][C]53.9596134072942[/C][C]1.00729354087609[/C][/ROW]
[ROW][C]0.39[/C][C]54.2246928378252[/C][C]1.11904956573674[/C][/ROW]
[ROW][C]0.4[/C][C]54.5192726381224[/C][C]1.26211798355314[/C][/ROW]
[ROW][C]0.41[/C][C]54.8505649914065[/C][C]1.43545612803396[/C][/ROW]
[ROW][C]0.42[/C][C]55.2250738230099[/C][C]1.63391026166381[/C][/ROW]
[ROW][C]0.43[/C][C]55.6477245436658[/C][C]1.84837120245023[/C][/ROW]
[ROW][C]0.44[/C][C]56.12107929881[/C][C]2.06706753585385[/C][/ROW]
[ROW][C]0.45[/C][C]56.6448485691478[/C][C]2.27683800769324[/C][/ROW]
[ROW][C]0.46[/C][C]57.2158824866752[/C][C]2.46560051398609[/C][/ROW]
[ROW][C]0.47[/C][C]57.8287473970101[/C][C]2.62504385812606[/C][/ROW]
[ROW][C]0.48[/C][C]58.4768829887632[/C][C]2.75312698676968[/C][/ROW]
[ROW][C]0.49[/C][C]59.1542225917576[/C][C]2.85545400346565[/C][/ROW]
[ROW][C]0.5[/C][C]59.8570707828434[/C][C]2.94576149905581[/C][/ROW]
[ROW][C]0.51[/C][C]60.5859758177984[/C][C]3.04580147139224[/C][/ROW]
[ROW][C]0.52[/C][C]61.3472940792385[/C][C]3.18365222284401[/C][/ROW]
[ROW][C]0.53[/C][C]62.1540973674107[/C][C]3.39034049114743[/C][/ROW]
[ROW][C]0.54[/C][C]63.0260233307122[/C][C]3.6944331626473[/C][/ROW]
[ROW][C]0.55[/C][C]63.9876654285693[/C][C]4.11391529345288[/C][/ROW]
[ROW][C]0.56[/C][C]65.0652338328739[/C][C]4.6475280710227[/C][/ROW]
[ROW][C]0.57[/C][C]66.2815741976409[/C][C]5.26830835833064[/C][/ROW]
[ROW][C]0.58[/C][C]67.6501986314295[/C][C]5.92155480505693[/C][/ROW]
[ROW][C]0.59[/C][C]69.1696055488619[/C][C]6.53143706544515[/C][/ROW]
[ROW][C]0.6[/C][C]70.8195569110635[/C][C]7.01258200012328[/C][/ROW]
[ROW][C]0.61[/C][C]72.5608491348438[/C][C]7.28786966420896[/C][/ROW]
[ROW][C]0.62[/C][C]74.3393329345699[/C][C]7.3069882340666[/C][/ROW]
[ROW][C]0.63[/C][C]76.0936825949213[/C][C]7.05964547877298[/C][/ROW]
[ROW][C]0.64[/C][C]77.7651438742716[/C][C]6.57818713110051[/C][/ROW]
[ROW][C]0.65[/C][C]79.3067496418537[/C][C]5.93046119268999[/C][/ROW]
[ROW][C]0.66[/C][C]80.6896436787568[/C][C]5.20293976547601[/C][/ROW]
[ROW][C]0.67[/C][C]81.9051627767769[/C][C]4.48165266525196[/C][/ROW]
[ROW][C]0.68[/C][C]82.9627648160781[/C][C]3.83575679993123[/C][/ROW]
[ROW][C]0.69[/C][C]83.8851376346139[/C][C]3.30862492784571[/C][/ROW]
[ROW][C]0.7[/C][C]84.7023835553875[/C][C]2.91709367531885[/C][/ROW]
[ROW][C]0.71[/C][C]85.4469120069721[/C][C]2.65814996792601[/C][/ROW]
[ROW][C]0.72[/C][C]86.1498587767964[/C][C]2.51772932696786[/C][/ROW]
[ROW][C]0.73[/C][C]86.8389946807827[/C][C]2.47708443348116[/C][/ROW]
[ROW][C]0.74[/C][C]87.5376446424266[/C][C]2.51521694335531[/C][/ROW]
[ROW][C]0.75[/C][C]88.264247653521[/C][C]2.60906830773891[/C][/ROW]
[ROW][C]0.76[/C][C]89.0325834222436[/C][C]2.73736126572349[/C][/ROW]
[ROW][C]0.77[/C][C]89.8528819786757[/C][C]2.88470462557904[/C][/ROW]
[ROW][C]0.78[/C][C]90.7336817457532[/C][C]3.04673061905977[/C][/ROW]
[ROW][C]0.79[/C][C]91.6835885360177[/C][C]3.22793719470878[/C][/ROW]
[ROW][C]0.8[/C][C]92.7117479636246[/C][C]3.43326484469635[/C][/ROW]
[ROW][C]0.81[/C][C]93.8266999375354[/C][C]3.65659789428921[/C][/ROW]
[ROW][C]0.82[/C][C]95.0354036408304[/C][C]3.88142918083504[/C][/ROW]
[ROW][C]0.83[/C][C]96.3462453352721[/C][C]4.10000300147938[/C][/ROW]
[ROW][C]0.84[/C][C]97.7792663611349[/C][C]4.34700140711506[/C][/ROW]
[ROW][C]0.85[/C][C]99.3817810260721[/C][C]4.72275437559462[/C][/ROW]
[ROW][C]0.86[/C][C]101.239420972802[/C][C]5.36351131590109[/C][/ROW]
[ROW][C]0.87[/C][C]103.467706815747[/C][C]6.33787403291988[/C][/ROW]
[ROW][C]0.88[/C][C]106.175738608266[/C][C]7.53976248652197[/C][/ROW]
[ROW][C]0.89[/C][C]109.413441106759[/C][C]8.69188477119651[/C][/ROW]
[ROW][C]0.9[/C][C]113.134820912751[/C][C]9.47614964995116[/C][/ROW]
[ROW][C]0.91[/C][C]117.210363321747[/C][C]9.71413777554967[/C][/ROW]
[ROW][C]0.92[/C][C]121.492433384987[/C][C]9.47562405293469[/C][/ROW]
[ROW][C]0.93[/C][C]125.896355793267[/C][C]9.02566946646965[/C][/ROW]
[ROW][C]0.94[/C][C]130.432788083363[/C][C]8.63557956159784[/C][/ROW]
[ROW][C]0.95[/C][C]135.125318963782[/C][C]8.31437238252381[/C][/ROW]
[ROW][C]0.96[/C][C]139.819652862984[/C][C]7.57827112580108[/C][/ROW]
[ROW][C]0.97[/C][C]144.138504853031[/C][C]5.8768531576413[/C][/ROW]
[ROW][C]0.98[/C][C]148.06653133232[/C][C]3.95408222213793[/C][/ROW]
[ROW][C]0.99[/C][C]152.65446468469[/C][C]4.62249171594874[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128313&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128313&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
0.0143.29456065368350.926389515936618
0.0244.3053548311431.08866230892651
0.0345.17427772404590.900251986990238
0.0445.77008883374420.601828000342364
0.0546.13786552109350.411818580391931
0.0646.3764563277720.339617219421277
0.0746.56044202562480.336469731341808
0.0846.73017857007670.372617462081691
0.0946.90464640678950.426369436426454
0.147.09028130174250.47714982117056
0.1147.28567039139640.512314548381635
0.1247.48605453044920.532481229503125
0.1347.68768795049820.548215407525229
0.1447.89034713428320.572617802079578
0.1548.09734935210110.613989267684462
0.1648.31394380772790.673937238138704
0.1748.54537076428060.749030662350677
0.1848.7953802742240.83283265910201
0.1949.0653685640570.916837066224718
0.249.35402757951670.991676601984072
0.2149.65746192233821.04824969531798
0.2249.96980498730921.08076110305891
0.2350.28427383650111.08765279713118
0.2450.59440012328171.07255533807308
0.2550.89505474695921.04192567989878
0.2651.18297063406581.0031062557509
0.2751.45671218059950.962153192734641
0.2851.71627730301580.922553082076755
0.2951.96260996799070.88652037147905
0.352.19722988582490.85545402496203
0.3152.4220415635630.830936784795951
0.3252.63927648093210.814613162836917
0.3352.85149975722940.808076869357537
0.3453.06165136977290.813293368194436
0.3553.27313258006710.832318610532131
0.3653.48994900505480.868106817638044
0.3753.71688236228360.924832466727032
0.3853.95961340729421.00729354087609
0.3954.22469283782521.11904956573674
0.454.51927263812241.26211798355314
0.4154.85056499140651.43545612803396
0.4255.22507382300991.63391026166381
0.4355.64772454366581.84837120245023
0.4456.121079298812.06706753585385
0.4556.64484856914782.27683800769324
0.4657.21588248667522.46560051398609
0.4757.82874739701012.62504385812606
0.4858.47688298876322.75312698676968
0.4959.15422259175762.85545400346565
0.559.85707078284342.94576149905581
0.5160.58597581779843.04580147139224
0.5261.34729407923853.18365222284401
0.5362.15409736741073.39034049114743
0.5463.02602333071223.6944331626473
0.5563.98766542856934.11391529345288
0.5665.06523383287394.6475280710227
0.5766.28157419764095.26830835833064
0.5867.65019863142955.92155480505693
0.5969.16960554886196.53143706544515
0.670.81955691106357.01258200012328
0.6172.56084913484387.28786966420896
0.6274.33933293456997.3069882340666
0.6376.09368259492137.05964547877298
0.6477.76514387427166.57818713110051
0.6579.30674964185375.93046119268999
0.6680.68964367875685.20293976547601
0.6781.90516277677694.48165266525196
0.6882.96276481607813.83575679993123
0.6983.88513763461393.30862492784571
0.784.70238355538752.91709367531885
0.7185.44691200697212.65814996792601
0.7286.14985877679642.51772932696786
0.7386.83899468078272.47708443348116
0.7487.53764464242662.51521694335531
0.7588.2642476535212.60906830773891
0.7689.03258342224362.73736126572349
0.7789.85288197867572.88470462557904
0.7890.73368174575323.04673061905977
0.7991.68358853601773.22793719470878
0.892.71174796362463.43326484469635
0.8193.82669993753543.65659789428921
0.8295.03540364083043.88142918083504
0.8396.34624533527214.10000300147938
0.8497.77926636113494.34700140711506
0.8599.38178102607214.72275437559462
0.86101.2394209728025.36351131590109
0.87103.4677068157476.33787403291988
0.88106.1757386082667.53976248652197
0.89109.4134411067598.69188477119651
0.9113.1348209127519.47614964995116
0.91117.2103633217479.71413777554967
0.92121.4924333849879.47562405293469
0.93125.8963557932679.02566946646965
0.94130.4327880833638.63557956159784
0.95135.1253189637828.31437238252381
0.96139.8196528629847.57827112580108
0.97144.1385048530315.8768531576413
0.98148.066531332323.95408222213793
0.99152.654464684694.62249171594874


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')