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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 computationSat, 19 May 2012 05:42:00 -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/2012/May/19/t1337420917b31fhw3r6yl6ub8.htm/, Retrieved Sun, 05 May 2024 16:45:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=166718, Retrieved Sun, 05 May 2024 16:45:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact112

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] [] [2012-05-19 09:42:00] [21ca38b5c207d9fbe3078e977c625188] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31.1
31.8
32.5
34.4
35.5
35.5
36.6
37.1
37.9
38.1
39
41.5
41.8
41.9
44.6
46.1
46.4
47.2
47.7
49.2
49.3
49.3
49.5
50.1
51.9
52.6
53.2
53.5
53.7
53.7
53.9
54.1
54.8
55.4
55.9
56.8
58.4
59.3
60.3
60.5
60.8
61
61.1
61.3
61.4
61.5
63.9
63.9
64
64.1
64.5
64.5
65.9
66.8
68.7
69.2
69.6
70.2
70.6
70.7
70.7
71
72.1
73.7
77.4
79.7
91.6
93.6
94.3
97.3
101.7
103
103.1
104.6
107.2
107.7
108.3
108.8
113.1
113.8
113.8
116.5
116.9
117.6

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'AstonUniversity' @ aston.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 & 2 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166718&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166718&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166718&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 time2 seconds
R Server'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0131.46128137946520.833177022696976
0.0232.11038445654631.19364658511781
0.0332.90966611178061.51317196719617
0.0433.75136547027641.63750831968419
0.0534.56220798941061.61680382773713
0.0635.30849758039151.57449118053945
0.0735.99469252526661.59768903784718
0.0836.64784512745431.7094133864108
0.0937.29979266874751.89570493441286
0.137.97623905153592.1319887776153
0.1138.69296896987892.39125003114383
0.1239.45590476948492.64625189223427
0.1340.26254174515032.87249190130284
0.1441.10383361928743.05093559358034
0.1541.96630916422053.16937822614028
0.1642.83427257592743.22255905195363
0.1743.69188489884513.21184099774607
0.1844.52494582037713.14461503408128
0.1945.32225640648113.03377146299862
0.246.0764821088492.89600703306002
0.2146.78445616614922.7492003210018
0.2247.44690417036222.6099648899922
0.2348.06764827617292.49075811094876
0.2448.65244531559552.39778815173071
0.2549.2076902608972.33096777301786
0.2649.73924477230652.28426154708101
0.2750.25161823006212.24847838581731
0.2850.74764267570592.21421266918512
0.2951.22866437451422.17488305393162
0.351.69515231667442.12851266227144
0.3152.14752844456232.07853696725008
0.3252.5869798075352.03287143729062
0.3353.01602949701692.00219420902953
0.3453.43871422357821.99696677317695
0.3553.8603202706092.02422848646183
0.3654.28673772393662.08561566547824
0.3754.7235788301642.17626294117175
0.3855.17525270315242.28575069163714
0.3955.64418997496432.40030156483975
0.456.13037268202772.50477637296161
0.4156.6312590217492.58567397401751
0.4257.14211486957062.63272909527919
0.4357.65668911214532.63997119007441
0.4458.16811069547972.60711588462075
0.4558.66985117259872.53879283534716
0.4659.15659253456632.44416968889238
0.4759.62486618854752.33520462741297
0.4860.073379513772.22511510131072
0.4960.50301075337222.12601528618542
0.560.91651695172822.04767038440182
0.5161.31804868568331.99612339725658
0.5261.71258822672251.97331536502094
0.5362.10541993051481.97846770201322
0.5462.50170700824932.0083820476019
0.5562.90619928554222.05956914180355
0.5663.32304883697692.12843739428361
0.5763.75568105293442.21164848799964
0.5864.20666866900772.3052558727386
0.5964.67758679646072.40416624800013
0.665.16887846716412.50179002729203
0.6165.67981473251792.59123651168199
0.6266.20867001296552.66594183218012
0.6366.75323472069642.72211001692114
0.6467.31174453020222.76142139263774
0.6567.8842217503612.79378764322069
0.6668.47411229755432.83823215805128
0.6769.08998236402072.92434757016696
0.6869.74693615631583.0902295397031
0.6970.46735490556953.37638517483198
0.771.28056160328423.81699410664255
0.7172.22110631199094.4301621078401
0.7273.32555582468435.21156308324167
0.7374.6279534381666.1318268358386
0.7476.15445470686887.13675377172058
0.7577.91797182558558.15104017335336
0.7679.91387182613749.0855939916485
0.7782.1177687475269.84914683463332
0.7884.486165052942810.3628535564763
0.7986.960154228061110.5733216119693
0.889.471716924459710.4621034709853
0.8191.951523282655310.0484521242272
0.8294.33679625311469.38476157190899
0.8396.57782248902428.54599653176596
0.8498.64211666144747.61639176074403
0.85100.5159112692116.67664492393742
0.86102.2033103396945.7948189952127
0.87103.7238225634255.02181412714048
0.88105.1088612928884.39115413542567
0.89106.397219652783.91994088832401
0.9107.6290215694493.60519960497615
0.91108.8380922482963.41365342827972
0.92110.0445108570653.27655126173528
0.93111.251015430713.11180476364135
0.94112.445851391942.86896668322129
0.95113.6090738958872.55634682033952
0.96114.7145431683942.2019819033587
0.97115.7254352324711.78037433239012
0.98116.591728281941.26392741733444
0.99117.247414518520.818400253440337

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 31.4612813794652 & 0.833177022696976 \tabularnewline
0.02 & 32.1103844565463 & 1.19364658511781 \tabularnewline
0.03 & 32.9096661117806 & 1.51317196719617 \tabularnewline
0.04 & 33.7513654702764 & 1.63750831968419 \tabularnewline
0.05 & 34.5622079894106 & 1.61680382773713 \tabularnewline
0.06 & 35.3084975803915 & 1.57449118053945 \tabularnewline
0.07 & 35.9946925252666 & 1.59768903784718 \tabularnewline
0.08 & 36.6478451274543 & 1.7094133864108 \tabularnewline
0.09 & 37.2997926687475 & 1.89570493441286 \tabularnewline
0.1 & 37.9762390515359 & 2.1319887776153 \tabularnewline
0.11 & 38.6929689698789 & 2.39125003114383 \tabularnewline
0.12 & 39.4559047694849 & 2.64625189223427 \tabularnewline
0.13 & 40.2625417451503 & 2.87249190130284 \tabularnewline
0.14 & 41.1038336192874 & 3.05093559358034 \tabularnewline
0.15 & 41.9663091642205 & 3.16937822614028 \tabularnewline
0.16 & 42.8342725759274 & 3.22255905195363 \tabularnewline
0.17 & 43.6918848988451 & 3.21184099774607 \tabularnewline
0.18 & 44.5249458203771 & 3.14461503408128 \tabularnewline
0.19 & 45.3222564064811 & 3.03377146299862 \tabularnewline
0.2 & 46.076482108849 & 2.89600703306002 \tabularnewline
0.21 & 46.7844561661492 & 2.7492003210018 \tabularnewline
0.22 & 47.4469041703622 & 2.6099648899922 \tabularnewline
0.23 & 48.0676482761729 & 2.49075811094876 \tabularnewline
0.24 & 48.6524453155955 & 2.39778815173071 \tabularnewline
0.25 & 49.207690260897 & 2.33096777301786 \tabularnewline
0.26 & 49.7392447723065 & 2.28426154708101 \tabularnewline
0.27 & 50.2516182300621 & 2.24847838581731 \tabularnewline
0.28 & 50.7476426757059 & 2.21421266918512 \tabularnewline
0.29 & 51.2286643745142 & 2.17488305393162 \tabularnewline
0.3 & 51.6951523166744 & 2.12851266227144 \tabularnewline
0.31 & 52.1475284445623 & 2.07853696725008 \tabularnewline
0.32 & 52.586979807535 & 2.03287143729062 \tabularnewline
0.33 & 53.0160294970169 & 2.00219420902953 \tabularnewline
0.34 & 53.4387142235782 & 1.99696677317695 \tabularnewline
0.35 & 53.860320270609 & 2.02422848646183 \tabularnewline
0.36 & 54.2867377239366 & 2.08561566547824 \tabularnewline
0.37 & 54.723578830164 & 2.17626294117175 \tabularnewline
0.38 & 55.1752527031524 & 2.28575069163714 \tabularnewline
0.39 & 55.6441899749643 & 2.40030156483975 \tabularnewline
0.4 & 56.1303726820277 & 2.50477637296161 \tabularnewline
0.41 & 56.631259021749 & 2.58567397401751 \tabularnewline
0.42 & 57.1421148695706 & 2.63272909527919 \tabularnewline
0.43 & 57.6566891121453 & 2.63997119007441 \tabularnewline
0.44 & 58.1681106954797 & 2.60711588462075 \tabularnewline
0.45 & 58.6698511725987 & 2.53879283534716 \tabularnewline
0.46 & 59.1565925345663 & 2.44416968889238 \tabularnewline
0.47 & 59.6248661885475 & 2.33520462741297 \tabularnewline
0.48 & 60.07337951377 & 2.22511510131072 \tabularnewline
0.49 & 60.5030107533722 & 2.12601528618542 \tabularnewline
0.5 & 60.9165169517282 & 2.04767038440182 \tabularnewline
0.51 & 61.3180486856833 & 1.99612339725658 \tabularnewline
0.52 & 61.7125882267225 & 1.97331536502094 \tabularnewline
0.53 & 62.1054199305148 & 1.97846770201322 \tabularnewline
0.54 & 62.5017070082493 & 2.0083820476019 \tabularnewline
0.55 & 62.9061992855422 & 2.05956914180355 \tabularnewline
0.56 & 63.3230488369769 & 2.12843739428361 \tabularnewline
0.57 & 63.7556810529344 & 2.21164848799964 \tabularnewline
0.58 & 64.2066686690077 & 2.3052558727386 \tabularnewline
0.59 & 64.6775867964607 & 2.40416624800013 \tabularnewline
0.6 & 65.1688784671641 & 2.50179002729203 \tabularnewline
0.61 & 65.6798147325179 & 2.59123651168199 \tabularnewline
0.62 & 66.2086700129655 & 2.66594183218012 \tabularnewline
0.63 & 66.7532347206964 & 2.72211001692114 \tabularnewline
0.64 & 67.3117445302022 & 2.76142139263774 \tabularnewline
0.65 & 67.884221750361 & 2.79378764322069 \tabularnewline
0.66 & 68.4741122975543 & 2.83823215805128 \tabularnewline
0.67 & 69.0899823640207 & 2.92434757016696 \tabularnewline
0.68 & 69.7469361563158 & 3.0902295397031 \tabularnewline
0.69 & 70.4673549055695 & 3.37638517483198 \tabularnewline
0.7 & 71.2805616032842 & 3.81699410664255 \tabularnewline
0.71 & 72.2211063119909 & 4.4301621078401 \tabularnewline
0.72 & 73.3255558246843 & 5.21156308324167 \tabularnewline
0.73 & 74.627953438166 & 6.1318268358386 \tabularnewline
0.74 & 76.1544547068688 & 7.13675377172058 \tabularnewline
0.75 & 77.9179718255855 & 8.15104017335336 \tabularnewline
0.76 & 79.9138718261374 & 9.0855939916485 \tabularnewline
0.77 & 82.117768747526 & 9.84914683463332 \tabularnewline
0.78 & 84.4861650529428 & 10.3628535564763 \tabularnewline
0.79 & 86.9601542280611 & 10.5733216119693 \tabularnewline
0.8 & 89.4717169244597 & 10.4621034709853 \tabularnewline
0.81 & 91.9515232826553 & 10.0484521242272 \tabularnewline
0.82 & 94.3367962531146 & 9.38476157190899 \tabularnewline
0.83 & 96.5778224890242 & 8.54599653176596 \tabularnewline
0.84 & 98.6421166614474 & 7.61639176074403 \tabularnewline
0.85 & 100.515911269211 & 6.67664492393742 \tabularnewline
0.86 & 102.203310339694 & 5.7948189952127 \tabularnewline
0.87 & 103.723822563425 & 5.02181412714048 \tabularnewline
0.88 & 105.108861292888 & 4.39115413542567 \tabularnewline
0.89 & 106.39721965278 & 3.91994088832401 \tabularnewline
0.9 & 107.629021569449 & 3.60519960497615 \tabularnewline
0.91 & 108.838092248296 & 3.41365342827972 \tabularnewline
0.92 & 110.044510857065 & 3.27655126173528 \tabularnewline
0.93 & 111.25101543071 & 3.11180476364135 \tabularnewline
0.94 & 112.44585139194 & 2.86896668322129 \tabularnewline
0.95 & 113.609073895887 & 2.55634682033952 \tabularnewline
0.96 & 114.714543168394 & 2.2019819033587 \tabularnewline
0.97 & 115.725435232471 & 1.78037433239012 \tabularnewline
0.98 & 116.59172828194 & 1.26392741733444 \tabularnewline
0.99 & 117.24741451852 & 0.818400253440337 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=166718&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]31.4612813794652[/C][C]0.833177022696976[/C][/ROW]
[ROW][C]0.02[/C][C]32.1103844565463[/C][C]1.19364658511781[/C][/ROW]
[ROW][C]0.03[/C][C]32.9096661117806[/C][C]1.51317196719617[/C][/ROW]
[ROW][C]0.04[/C][C]33.7513654702764[/C][C]1.63750831968419[/C][/ROW]
[ROW][C]0.05[/C][C]34.5622079894106[/C][C]1.61680382773713[/C][/ROW]
[ROW][C]0.06[/C][C]35.3084975803915[/C][C]1.57449118053945[/C][/ROW]
[ROW][C]0.07[/C][C]35.9946925252666[/C][C]1.59768903784718[/C][/ROW]
[ROW][C]0.08[/C][C]36.6478451274543[/C][C]1.7094133864108[/C][/ROW]
[ROW][C]0.09[/C][C]37.2997926687475[/C][C]1.89570493441286[/C][/ROW]
[ROW][C]0.1[/C][C]37.9762390515359[/C][C]2.1319887776153[/C][/ROW]
[ROW][C]0.11[/C][C]38.6929689698789[/C][C]2.39125003114383[/C][/ROW]
[ROW][C]0.12[/C][C]39.4559047694849[/C][C]2.64625189223427[/C][/ROW]
[ROW][C]0.13[/C][C]40.2625417451503[/C][C]2.87249190130284[/C][/ROW]
[ROW][C]0.14[/C][C]41.1038336192874[/C][C]3.05093559358034[/C][/ROW]
[ROW][C]0.15[/C][C]41.9663091642205[/C][C]3.16937822614028[/C][/ROW]
[ROW][C]0.16[/C][C]42.8342725759274[/C][C]3.22255905195363[/C][/ROW]
[ROW][C]0.17[/C][C]43.6918848988451[/C][C]3.21184099774607[/C][/ROW]
[ROW][C]0.18[/C][C]44.5249458203771[/C][C]3.14461503408128[/C][/ROW]
[ROW][C]0.19[/C][C]45.3222564064811[/C][C]3.03377146299862[/C][/ROW]
[ROW][C]0.2[/C][C]46.076482108849[/C][C]2.89600703306002[/C][/ROW]
[ROW][C]0.21[/C][C]46.7844561661492[/C][C]2.7492003210018[/C][/ROW]
[ROW][C]0.22[/C][C]47.4469041703622[/C][C]2.6099648899922[/C][/ROW]
[ROW][C]0.23[/C][C]48.0676482761729[/C][C]2.49075811094876[/C][/ROW]
[ROW][C]0.24[/C][C]48.6524453155955[/C][C]2.39778815173071[/C][/ROW]
[ROW][C]0.25[/C][C]49.207690260897[/C][C]2.33096777301786[/C][/ROW]
[ROW][C]0.26[/C][C]49.7392447723065[/C][C]2.28426154708101[/C][/ROW]
[ROW][C]0.27[/C][C]50.2516182300621[/C][C]2.24847838581731[/C][/ROW]
[ROW][C]0.28[/C][C]50.7476426757059[/C][C]2.21421266918512[/C][/ROW]
[ROW][C]0.29[/C][C]51.2286643745142[/C][C]2.17488305393162[/C][/ROW]
[ROW][C]0.3[/C][C]51.6951523166744[/C][C]2.12851266227144[/C][/ROW]
[ROW][C]0.31[/C][C]52.1475284445623[/C][C]2.07853696725008[/C][/ROW]
[ROW][C]0.32[/C][C]52.586979807535[/C][C]2.03287143729062[/C][/ROW]
[ROW][C]0.33[/C][C]53.0160294970169[/C][C]2.00219420902953[/C][/ROW]
[ROW][C]0.34[/C][C]53.4387142235782[/C][C]1.99696677317695[/C][/ROW]
[ROW][C]0.35[/C][C]53.860320270609[/C][C]2.02422848646183[/C][/ROW]
[ROW][C]0.36[/C][C]54.2867377239366[/C][C]2.08561566547824[/C][/ROW]
[ROW][C]0.37[/C][C]54.723578830164[/C][C]2.17626294117175[/C][/ROW]
[ROW][C]0.38[/C][C]55.1752527031524[/C][C]2.28575069163714[/C][/ROW]
[ROW][C]0.39[/C][C]55.6441899749643[/C][C]2.40030156483975[/C][/ROW]
[ROW][C]0.4[/C][C]56.1303726820277[/C][C]2.50477637296161[/C][/ROW]
[ROW][C]0.41[/C][C]56.631259021749[/C][C]2.58567397401751[/C][/ROW]
[ROW][C]0.42[/C][C]57.1421148695706[/C][C]2.63272909527919[/C][/ROW]
[ROW][C]0.43[/C][C]57.6566891121453[/C][C]2.63997119007441[/C][/ROW]
[ROW][C]0.44[/C][C]58.1681106954797[/C][C]2.60711588462075[/C][/ROW]
[ROW][C]0.45[/C][C]58.6698511725987[/C][C]2.53879283534716[/C][/ROW]
[ROW][C]0.46[/C][C]59.1565925345663[/C][C]2.44416968889238[/C][/ROW]
[ROW][C]0.47[/C][C]59.6248661885475[/C][C]2.33520462741297[/C][/ROW]
[ROW][C]0.48[/C][C]60.07337951377[/C][C]2.22511510131072[/C][/ROW]
[ROW][C]0.49[/C][C]60.5030107533722[/C][C]2.12601528618542[/C][/ROW]
[ROW][C]0.5[/C][C]60.9165169517282[/C][C]2.04767038440182[/C][/ROW]
[ROW][C]0.51[/C][C]61.3180486856833[/C][C]1.99612339725658[/C][/ROW]
[ROW][C]0.52[/C][C]61.7125882267225[/C][C]1.97331536502094[/C][/ROW]
[ROW][C]0.53[/C][C]62.1054199305148[/C][C]1.97846770201322[/C][/ROW]
[ROW][C]0.54[/C][C]62.5017070082493[/C][C]2.0083820476019[/C][/ROW]
[ROW][C]0.55[/C][C]62.9061992855422[/C][C]2.05956914180355[/C][/ROW]
[ROW][C]0.56[/C][C]63.3230488369769[/C][C]2.12843739428361[/C][/ROW]
[ROW][C]0.57[/C][C]63.7556810529344[/C][C]2.21164848799964[/C][/ROW]
[ROW][C]0.58[/C][C]64.2066686690077[/C][C]2.3052558727386[/C][/ROW]
[ROW][C]0.59[/C][C]64.6775867964607[/C][C]2.40416624800013[/C][/ROW]
[ROW][C]0.6[/C][C]65.1688784671641[/C][C]2.50179002729203[/C][/ROW]
[ROW][C]0.61[/C][C]65.6798147325179[/C][C]2.59123651168199[/C][/ROW]
[ROW][C]0.62[/C][C]66.2086700129655[/C][C]2.66594183218012[/C][/ROW]
[ROW][C]0.63[/C][C]66.7532347206964[/C][C]2.72211001692114[/C][/ROW]
[ROW][C]0.64[/C][C]67.3117445302022[/C][C]2.76142139263774[/C][/ROW]
[ROW][C]0.65[/C][C]67.884221750361[/C][C]2.79378764322069[/C][/ROW]
[ROW][C]0.66[/C][C]68.4741122975543[/C][C]2.83823215805128[/C][/ROW]
[ROW][C]0.67[/C][C]69.0899823640207[/C][C]2.92434757016696[/C][/ROW]
[ROW][C]0.68[/C][C]69.7469361563158[/C][C]3.0902295397031[/C][/ROW]
[ROW][C]0.69[/C][C]70.4673549055695[/C][C]3.37638517483198[/C][/ROW]
[ROW][C]0.7[/C][C]71.2805616032842[/C][C]3.81699410664255[/C][/ROW]
[ROW][C]0.71[/C][C]72.2211063119909[/C][C]4.4301621078401[/C][/ROW]
[ROW][C]0.72[/C][C]73.3255558246843[/C][C]5.21156308324167[/C][/ROW]
[ROW][C]0.73[/C][C]74.627953438166[/C][C]6.1318268358386[/C][/ROW]
[ROW][C]0.74[/C][C]76.1544547068688[/C][C]7.13675377172058[/C][/ROW]
[ROW][C]0.75[/C][C]77.9179718255855[/C][C]8.15104017335336[/C][/ROW]
[ROW][C]0.76[/C][C]79.9138718261374[/C][C]9.0855939916485[/C][/ROW]
[ROW][C]0.77[/C][C]82.117768747526[/C][C]9.84914683463332[/C][/ROW]
[ROW][C]0.78[/C][C]84.4861650529428[/C][C]10.3628535564763[/C][/ROW]
[ROW][C]0.79[/C][C]86.9601542280611[/C][C]10.5733216119693[/C][/ROW]
[ROW][C]0.8[/C][C]89.4717169244597[/C][C]10.4621034709853[/C][/ROW]
[ROW][C]0.81[/C][C]91.9515232826553[/C][C]10.0484521242272[/C][/ROW]
[ROW][C]0.82[/C][C]94.3367962531146[/C][C]9.38476157190899[/C][/ROW]
[ROW][C]0.83[/C][C]96.5778224890242[/C][C]8.54599653176596[/C][/ROW]
[ROW][C]0.84[/C][C]98.6421166614474[/C][C]7.61639176074403[/C][/ROW]
[ROW][C]0.85[/C][C]100.515911269211[/C][C]6.67664492393742[/C][/ROW]
[ROW][C]0.86[/C][C]102.203310339694[/C][C]5.7948189952127[/C][/ROW]
[ROW][C]0.87[/C][C]103.723822563425[/C][C]5.02181412714048[/C][/ROW]
[ROW][C]0.88[/C][C]105.108861292888[/C][C]4.39115413542567[/C][/ROW]
[ROW][C]0.89[/C][C]106.39721965278[/C][C]3.91994088832401[/C][/ROW]
[ROW][C]0.9[/C][C]107.629021569449[/C][C]3.60519960497615[/C][/ROW]
[ROW][C]0.91[/C][C]108.838092248296[/C][C]3.41365342827972[/C][/ROW]
[ROW][C]0.92[/C][C]110.044510857065[/C][C]3.27655126173528[/C][/ROW]
[ROW][C]0.93[/C][C]111.25101543071[/C][C]3.11180476364135[/C][/ROW]
[ROW][C]0.94[/C][C]112.44585139194[/C][C]2.86896668322129[/C][/ROW]
[ROW][C]0.95[/C][C]113.609073895887[/C][C]2.55634682033952[/C][/ROW]
[ROW][C]0.96[/C][C]114.714543168394[/C][C]2.2019819033587[/C][/ROW]
[ROW][C]0.97[/C][C]115.725435232471[/C][C]1.78037433239012[/C][/ROW]
[ROW][C]0.98[/C][C]116.59172828194[/C][C]1.26392741733444[/C][/ROW]
[ROW][C]0.99[/C][C]117.24741451852[/C][C]0.818400253440337[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=166718&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=166718&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
0.0131.46128137946520.833177022696976
0.0232.11038445654631.19364658511781
0.0332.90966611178061.51317196719617
0.0433.75136547027641.63750831968419
0.0534.56220798941061.61680382773713
0.0635.30849758039151.57449118053945
0.0735.99469252526661.59768903784718
0.0836.64784512745431.7094133864108
0.0937.29979266874751.89570493441286
0.137.97623905153592.1319887776153
0.1138.69296896987892.39125003114383
0.1239.45590476948492.64625189223427
0.1340.26254174515032.87249190130284
0.1441.10383361928743.05093559358034
0.1541.96630916422053.16937822614028
0.1642.83427257592743.22255905195363
0.1743.69188489884513.21184099774607
0.1844.52494582037713.14461503408128
0.1945.32225640648113.03377146299862
0.246.0764821088492.89600703306002
0.2146.78445616614922.7492003210018
0.2247.44690417036222.6099648899922
0.2348.06764827617292.49075811094876
0.2448.65244531559552.39778815173071
0.2549.2076902608972.33096777301786
0.2649.73924477230652.28426154708101
0.2750.25161823006212.24847838581731
0.2850.74764267570592.21421266918512
0.2951.22866437451422.17488305393162
0.351.69515231667442.12851266227144
0.3152.14752844456232.07853696725008
0.3252.5869798075352.03287143729062
0.3353.01602949701692.00219420902953
0.3453.43871422357821.99696677317695
0.3553.8603202706092.02422848646183
0.3654.28673772393662.08561566547824
0.3754.7235788301642.17626294117175
0.3855.17525270315242.28575069163714
0.3955.64418997496432.40030156483975
0.456.13037268202772.50477637296161
0.4156.6312590217492.58567397401751
0.4257.14211486957062.63272909527919
0.4357.65668911214532.63997119007441
0.4458.16811069547972.60711588462075
0.4558.66985117259872.53879283534716
0.4659.15659253456632.44416968889238
0.4759.62486618854752.33520462741297
0.4860.073379513772.22511510131072
0.4960.50301075337222.12601528618542
0.560.91651695172822.04767038440182
0.5161.31804868568331.99612339725658
0.5261.71258822672251.97331536502094
0.5362.10541993051481.97846770201322
0.5462.50170700824932.0083820476019
0.5562.90619928554222.05956914180355
0.5663.32304883697692.12843739428361
0.5763.75568105293442.21164848799964
0.5864.20666866900772.3052558727386
0.5964.67758679646072.40416624800013
0.665.16887846716412.50179002729203
0.6165.67981473251792.59123651168199
0.6266.20867001296552.66594183218012
0.6366.75323472069642.72211001692114
0.6467.31174453020222.76142139263774
0.6567.8842217503612.79378764322069
0.6668.47411229755432.83823215805128
0.6769.08998236402072.92434757016696
0.6869.74693615631583.0902295397031
0.6970.46735490556953.37638517483198
0.771.28056160328423.81699410664255
0.7172.22110631199094.4301621078401
0.7273.32555582468435.21156308324167
0.7374.6279534381666.1318268358386
0.7476.15445470686887.13675377172058
0.7577.91797182558558.15104017335336
0.7679.91387182613749.0855939916485
0.7782.1177687475269.84914683463332
0.7884.486165052942810.3628535564763
0.7986.960154228061110.5733216119693
0.889.471716924459710.4621034709853
0.8191.951523282655310.0484521242272
0.8294.33679625311469.38476157190899
0.8396.57782248902428.54599653176596
0.8498.64211666144747.61639176074403
0.85100.5159112692116.67664492393742
0.86102.2033103396945.7948189952127
0.87103.7238225634255.02181412714048
0.88105.1088612928884.39115413542567
0.89106.397219652783.91994088832401
0.9107.6290215694493.60519960497615
0.91108.8380922482963.41365342827972
0.92110.0445108570653.27655126173528
0.93111.251015430713.11180476364135
0.94112.445851391942.86896668322129
0.95113.6090738958872.55634682033952
0.96114.7145431683942.2019819033587
0.97115.7254352324711.78037433239012
0.98116.591728281941.26392741733444
0.99117.247414518520.818400253440337


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.1'
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')