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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 19 Oct 2009 02:16:12 -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/Oct/19/t1255940416lagffrkd8rd945b.htm/, Retrieved Mon, 29 Apr 2024 19:05:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47598, Retrieved Mon, 29 Apr 2024 19:05:18 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

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] [95percent] [2009-10-19 08:16:12] [99bf2a1e962091d45abf4c2600a412f9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.28
87.28
87.09
86.92
87.59
90.72
90.69
90.3
89.55
88.94
88.41
87.82
87.07
86.82
86.4
86.02
85.66
85.32
85
84.67
83.94
82.83
81.95
81.19
80.48
78.86
69.47
68.77
70.06
73.95
75.8
77.79
81.57
83.07
84.34
85.1
85.25
84.26
83.63
86.44
85.3
84.1
83.36
82.48
81.58
80.47
79.34
82.13
81.69
80.7
79.88
79.16
78.38
77.42
76.47
75.46
74.48
78.27
80.7
79.91
78.75
77.78
81.14
81.08
80.03
78.91
78.01
76.9
75.97
81.93
80.27
78.67
77.42
76.16
74.7
76.39
76.04
74.65
73.29
71.79
74.39
74.91
74.54
73.08
72.75
71.32
70.38
70.35
70.01
69.36
67.77
69.26
69.8
68.38
67.62
68.39
66.95
65.21
66.64
63.45
60.66
62.34
60.32
58.64
60.46
58.59
61.87
61.85
67.44
77.06
91.74
93.15
94.15
93.11
91.51
89.96
88.16
86.98
88.03
86.24
84.65
83.23
81.7
80.25
78.8
77.51
76.2
75.04
74
75.49
77.14
76.15
76.27
78.19
76.49
77.31
76.65
74.99
73.51
72.07
70.59
71.96
76.29
74.86
74.93
71.9
71.01
77.47
75.78
76.6
76.07
74.57
73.02
72.65
73.16
71.53
69.78
67.98
69.96
72.16
70.47
68.86
67.37
65.87
72.16
71.34
69.93
68.44
67.16
66.01
67.25
70.91
69.75
68.59
67.48
66.31
64.81
66.58
65.97
64.7
64.7
60.94
59.08
58.42
57.77
57.11
53.31
49.96
49.4
48.84
48.3
47.74
47.24
46.76
46.29
48.9
49.23
48.53
48.03
54.34
53.79
53.24
52.96
52.17
51.7
58.55
78.2
77.03
76.19
77.15
75.87
95.47
109.67
112.28
112.01
107.93
105.96
105.06
102.98
102.2
105.23
101.85
99.89
96.23
94.76
91.51
91.63
91.54
85.23
87.83
87.38
84.44
85.19
84.03
86.73
102.52
104.45
106.98
107.02
99.26
94.45
113.44
157.33
147.38
171.89
171.95
132.71
126.02
121.18
115.45
110.48
117.85
117.63
124.65
109.59
111.27
99.78
98.21
99.2
97.97
89.55
87.91
93.34
94.42
93.2
90.29
91.46
89.98
88.35
88.41
82.44
79.89
75.69
75.66
84.5
96.73
87.48
82.39
83.48
79.31
78.16
72.77
72.45
68.46
67.62
68.76
70.07
68.55
65.3
58.96
59.17
62.37
66.28
55.62
55.23
55.85
56.75
50.89
53.88
52.95
55.08
53.61
58.78
61.85
55.91
53.32
46.41
44.57
50
50
53.36
46.23
50.45
49.07
45.85
48.45
49.96
46.53
50.51
47.58
48.05
46.84
47.67
49.16
55.54
55.82
58.22
56.19
57.77
63.19
54.76
55.74
62.54
61.39
69.6
79.23
80
93.68
107.63
100.18
97.3
90.45
80.64
80.58
75.82
85.59
89.35
89.42
104.73
95.32
89.27
90.44
86.97
79.98
81.22
87.35
83.64
82.22
94.4
102.18

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47598&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47598&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47598&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.02547.28658948631820.546341372358286
0.03547.95338444935670.544203098747074
0.04548.54154295236110.588397113184609
0.05549.130688700670.705660266199481
0.06549.80623990288820.948765974213701
0.07550.64997651131711.27159636157667
0.08551.64385617143631.45609353394698
0.09552.64864933590471.40632231394771
0.10553.55705264438941.30117165826976
0.11554.3824213521211.28440337139418
0.12555.18175703225091.33526114349448
0.13555.99141218086361.42211364710311
0.14556.82719943947031.5205089048923
0.15557.68953974394421.60429841989807
0.16558.57504198017871.69204368622975
0.17559.49337156955991.81885285863324
0.18560.4613180857971.97279501431539
0.19561.48180039383272.10630084249984
0.20562.53429948871952.17346843569159
0.21563.5786915424672.13899163349072
0.22564.56504417906651.99132137071581
0.23565.4493772740441.76127362082002
0.24566.2100534835761.50927745532541
0.25566.8529044733771.29289751178088
0.26567.40233233142381.13731833754120
0.27567.88742216051651.04016061046058
0.28568.33225506792780.984650651733544
0.29568.75294321873390.954753683597777
0.30569.15957873494120.94114794753697
0.31569.56032547529620.946521763908995
0.32569.96459846028610.976870163090224
0.33570.38277895171851.03198728913263
0.34570.82269297824311.09933841060058
0.35571.28631124055851.16260204017785
0.36571.7698454340981.21005807422657
0.37572.26654956563011.23936597244925
0.38572.7688300394681.24954999824247
0.39573.26794274883391.23512920164313
0.40573.75305346742111.19039667133481
0.41574.21220552673591.11398957542331
0.42574.63523720930491.01611315746269
0.43575.01650235443240.909741380850402
0.44575.35588285513270.808808135363252
0.45575.65850121099570.7268047324615
0.46575.93400666561210.673300974470074
0.47576.19528615312850.656027125845838
0.48576.45605106826890.672989479817978
0.49576.72780350870650.714170432912097
0.50577.01771473473960.766759054899682
0.51577.32847358094760.819957104924327
0.52577.65965146664010.869484516384336
0.53578.00919234351830.91185672104584
0.54578.37403895953930.945014334574663
0.55578.75001784568060.965301090605735
0.56579.13188959860050.970663143111174
0.57579.51438371173220.963638056287923
0.58579.89415172586220.950533659516586
0.59580.27154491300010.94326411380162
0.60580.65092438931640.95153513549171
0.61581.03917008295760.978190512586098
0.62581.44321988815121.01971894998476
0.63581.86767132336531.06779474247233
0.64582.31292458649231.10976290187471
0.65582.77423563212621.13334470108404
0.66583.24253172483541.13025483276996
0.67583.70759552908551.10249722194178
0.68584.16255850448031.06369848561302
0.69584.60691088786121.03174662488390
0.70585.04538368236371.01513200478071
0.71585.4826442367151.00581781754927
0.72585.91747146600720.985244729277902
0.73586.34195915049360.940064262104131
0.74586.7482317220960.881342878587583
0.75587.13821024022460.839994920000027
0.76587.52780050880630.84727406672922
0.77587.94074904658920.907693297263047
0.78588.39618038346360.994820852622849
0.79588.89962214793241.07408752150579
0.80589.44541744712331.12975316439128
0.81590.0295074130511.18068392740026
0.82590.6616359930371.26106525568625
0.83591.36459962978221.3862211387576
0.84592.16049792180961.53502319655896
0.85593.06212671201311.68468234195280
0.86594.0869304906651.86177536522396
0.87595.274484827822.10713833741742
0.88596.66485311438882.37659541586188
0.89598.25222389962542.56037674823946
0.90599.9850147530632.62010707476981
0.915101.8121545503132.59695318094803
0.925103.7062931697872.52592332917429
0.935105.6747410743092.46159881688187
0.945107.7970349967672.49692805376015
0.955110.2681468397562.72042977053285
0.965113.6466125615803.53379232513066
0.975119.5039686831685.54742147865435

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.025 & 47.2865894863182 & 0.546341372358286 \tabularnewline
0.035 & 47.9533844493567 & 0.544203098747074 \tabularnewline
0.045 & 48.5415429523611 & 0.588397113184609 \tabularnewline
0.055 & 49.13068870067 & 0.705660266199481 \tabularnewline
0.065 & 49.8062399028882 & 0.948765974213701 \tabularnewline
0.075 & 50.6499765113171 & 1.27159636157667 \tabularnewline
0.085 & 51.6438561714363 & 1.45609353394698 \tabularnewline
0.095 & 52.6486493359047 & 1.40632231394771 \tabularnewline
0.105 & 53.5570526443894 & 1.30117165826976 \tabularnewline
0.115 & 54.382421352121 & 1.28440337139418 \tabularnewline
0.125 & 55.1817570322509 & 1.33526114349448 \tabularnewline
0.135 & 55.9914121808636 & 1.42211364710311 \tabularnewline
0.145 & 56.8271994394703 & 1.5205089048923 \tabularnewline
0.155 & 57.6895397439442 & 1.60429841989807 \tabularnewline
0.165 & 58.5750419801787 & 1.69204368622975 \tabularnewline
0.175 & 59.4933715695599 & 1.81885285863324 \tabularnewline
0.185 & 60.461318085797 & 1.97279501431539 \tabularnewline
0.195 & 61.4818003938327 & 2.10630084249984 \tabularnewline
0.205 & 62.5342994887195 & 2.17346843569159 \tabularnewline
0.215 & 63.578691542467 & 2.13899163349072 \tabularnewline
0.225 & 64.5650441790665 & 1.99132137071581 \tabularnewline
0.235 & 65.449377274044 & 1.76127362082002 \tabularnewline
0.245 & 66.210053483576 & 1.50927745532541 \tabularnewline
0.255 & 66.852904473377 & 1.29289751178088 \tabularnewline
0.265 & 67.4023323314238 & 1.13731833754120 \tabularnewline
0.275 & 67.8874221605165 & 1.04016061046058 \tabularnewline
0.285 & 68.3322550679278 & 0.984650651733544 \tabularnewline
0.295 & 68.7529432187339 & 0.954753683597777 \tabularnewline
0.305 & 69.1595787349412 & 0.94114794753697 \tabularnewline
0.315 & 69.5603254752962 & 0.946521763908995 \tabularnewline
0.325 & 69.9645984602861 & 0.976870163090224 \tabularnewline
0.335 & 70.3827789517185 & 1.03198728913263 \tabularnewline
0.345 & 70.8226929782431 & 1.09933841060058 \tabularnewline
0.355 & 71.2863112405585 & 1.16260204017785 \tabularnewline
0.365 & 71.769845434098 & 1.21005807422657 \tabularnewline
0.375 & 72.2665495656301 & 1.23936597244925 \tabularnewline
0.385 & 72.768830039468 & 1.24954999824247 \tabularnewline
0.395 & 73.2679427488339 & 1.23512920164313 \tabularnewline
0.405 & 73.7530534674211 & 1.19039667133481 \tabularnewline
0.415 & 74.2122055267359 & 1.11398957542331 \tabularnewline
0.425 & 74.6352372093049 & 1.01611315746269 \tabularnewline
0.435 & 75.0165023544324 & 0.909741380850402 \tabularnewline
0.445 & 75.3558828551327 & 0.808808135363252 \tabularnewline
0.455 & 75.6585012109957 & 0.7268047324615 \tabularnewline
0.465 & 75.9340066656121 & 0.673300974470074 \tabularnewline
0.475 & 76.1952861531285 & 0.656027125845838 \tabularnewline
0.485 & 76.4560510682689 & 0.672989479817978 \tabularnewline
0.495 & 76.7278035087065 & 0.714170432912097 \tabularnewline
0.505 & 77.0177147347396 & 0.766759054899682 \tabularnewline
0.515 & 77.3284735809476 & 0.819957104924327 \tabularnewline
0.525 & 77.6596514666401 & 0.869484516384336 \tabularnewline
0.535 & 78.0091923435183 & 0.91185672104584 \tabularnewline
0.545 & 78.3740389595393 & 0.945014334574663 \tabularnewline
0.555 & 78.7500178456806 & 0.965301090605735 \tabularnewline
0.565 & 79.1318895986005 & 0.970663143111174 \tabularnewline
0.575 & 79.5143837117322 & 0.963638056287923 \tabularnewline
0.585 & 79.8941517258622 & 0.950533659516586 \tabularnewline
0.595 & 80.2715449130001 & 0.94326411380162 \tabularnewline
0.605 & 80.6509243893164 & 0.95153513549171 \tabularnewline
0.615 & 81.0391700829576 & 0.978190512586098 \tabularnewline
0.625 & 81.4432198881512 & 1.01971894998476 \tabularnewline
0.635 & 81.8676713233653 & 1.06779474247233 \tabularnewline
0.645 & 82.3129245864923 & 1.10976290187471 \tabularnewline
0.655 & 82.7742356321262 & 1.13334470108404 \tabularnewline
0.665 & 83.2425317248354 & 1.13025483276996 \tabularnewline
0.675 & 83.7075955290855 & 1.10249722194178 \tabularnewline
0.685 & 84.1625585044803 & 1.06369848561302 \tabularnewline
0.695 & 84.6069108878612 & 1.03174662488390 \tabularnewline
0.705 & 85.0453836823637 & 1.01513200478071 \tabularnewline
0.715 & 85.482644236715 & 1.00581781754927 \tabularnewline
0.725 & 85.9174714660072 & 0.985244729277902 \tabularnewline
0.735 & 86.3419591504936 & 0.940064262104131 \tabularnewline
0.745 & 86.748231722096 & 0.881342878587583 \tabularnewline
0.755 & 87.1382102402246 & 0.839994920000027 \tabularnewline
0.765 & 87.5278005088063 & 0.84727406672922 \tabularnewline
0.775 & 87.9407490465892 & 0.907693297263047 \tabularnewline
0.785 & 88.3961803834636 & 0.994820852622849 \tabularnewline
0.795 & 88.8996221479324 & 1.07408752150579 \tabularnewline
0.805 & 89.4454174471233 & 1.12975316439128 \tabularnewline
0.815 & 90.029507413051 & 1.18068392740026 \tabularnewline
0.825 & 90.661635993037 & 1.26106525568625 \tabularnewline
0.835 & 91.3645996297822 & 1.3862211387576 \tabularnewline
0.845 & 92.1604979218096 & 1.53502319655896 \tabularnewline
0.855 & 93.0621267120131 & 1.68468234195280 \tabularnewline
0.865 & 94.086930490665 & 1.86177536522396 \tabularnewline
0.875 & 95.27448482782 & 2.10713833741742 \tabularnewline
0.885 & 96.6648531143888 & 2.37659541586188 \tabularnewline
0.895 & 98.2522238996254 & 2.56037674823946 \tabularnewline
0.905 & 99.985014753063 & 2.62010707476981 \tabularnewline
0.915 & 101.812154550313 & 2.59695318094803 \tabularnewline
0.925 & 103.706293169787 & 2.52592332917429 \tabularnewline
0.935 & 105.674741074309 & 2.46159881688187 \tabularnewline
0.945 & 107.797034996767 & 2.49692805376015 \tabularnewline
0.955 & 110.268146839756 & 2.72042977053285 \tabularnewline
0.965 & 113.646612561580 & 3.53379232513066 \tabularnewline
0.975 & 119.503968683168 & 5.54742147865435 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47598&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.025[/C][C]47.2865894863182[/C][C]0.546341372358286[/C][/ROW]
[ROW][C]0.035[/C][C]47.9533844493567[/C][C]0.544203098747074[/C][/ROW]
[ROW][C]0.045[/C][C]48.5415429523611[/C][C]0.588397113184609[/C][/ROW]
[ROW][C]0.055[/C][C]49.13068870067[/C][C]0.705660266199481[/C][/ROW]
[ROW][C]0.065[/C][C]49.8062399028882[/C][C]0.948765974213701[/C][/ROW]
[ROW][C]0.075[/C][C]50.6499765113171[/C][C]1.27159636157667[/C][/ROW]
[ROW][C]0.085[/C][C]51.6438561714363[/C][C]1.45609353394698[/C][/ROW]
[ROW][C]0.095[/C][C]52.6486493359047[/C][C]1.40632231394771[/C][/ROW]
[ROW][C]0.105[/C][C]53.5570526443894[/C][C]1.30117165826976[/C][/ROW]
[ROW][C]0.115[/C][C]54.382421352121[/C][C]1.28440337139418[/C][/ROW]
[ROW][C]0.125[/C][C]55.1817570322509[/C][C]1.33526114349448[/C][/ROW]
[ROW][C]0.135[/C][C]55.9914121808636[/C][C]1.42211364710311[/C][/ROW]
[ROW][C]0.145[/C][C]56.8271994394703[/C][C]1.5205089048923[/C][/ROW]
[ROW][C]0.155[/C][C]57.6895397439442[/C][C]1.60429841989807[/C][/ROW]
[ROW][C]0.165[/C][C]58.5750419801787[/C][C]1.69204368622975[/C][/ROW]
[ROW][C]0.175[/C][C]59.4933715695599[/C][C]1.81885285863324[/C][/ROW]
[ROW][C]0.185[/C][C]60.461318085797[/C][C]1.97279501431539[/C][/ROW]
[ROW][C]0.195[/C][C]61.4818003938327[/C][C]2.10630084249984[/C][/ROW]
[ROW][C]0.205[/C][C]62.5342994887195[/C][C]2.17346843569159[/C][/ROW]
[ROW][C]0.215[/C][C]63.578691542467[/C][C]2.13899163349072[/C][/ROW]
[ROW][C]0.225[/C][C]64.5650441790665[/C][C]1.99132137071581[/C][/ROW]
[ROW][C]0.235[/C][C]65.449377274044[/C][C]1.76127362082002[/C][/ROW]
[ROW][C]0.245[/C][C]66.210053483576[/C][C]1.50927745532541[/C][/ROW]
[ROW][C]0.255[/C][C]66.852904473377[/C][C]1.29289751178088[/C][/ROW]
[ROW][C]0.265[/C][C]67.4023323314238[/C][C]1.13731833754120[/C][/ROW]
[ROW][C]0.275[/C][C]67.8874221605165[/C][C]1.04016061046058[/C][/ROW]
[ROW][C]0.285[/C][C]68.3322550679278[/C][C]0.984650651733544[/C][/ROW]
[ROW][C]0.295[/C][C]68.7529432187339[/C][C]0.954753683597777[/C][/ROW]
[ROW][C]0.305[/C][C]69.1595787349412[/C][C]0.94114794753697[/C][/ROW]
[ROW][C]0.315[/C][C]69.5603254752962[/C][C]0.946521763908995[/C][/ROW]
[ROW][C]0.325[/C][C]69.9645984602861[/C][C]0.976870163090224[/C][/ROW]
[ROW][C]0.335[/C][C]70.3827789517185[/C][C]1.03198728913263[/C][/ROW]
[ROW][C]0.345[/C][C]70.8226929782431[/C][C]1.09933841060058[/C][/ROW]
[ROW][C]0.355[/C][C]71.2863112405585[/C][C]1.16260204017785[/C][/ROW]
[ROW][C]0.365[/C][C]71.769845434098[/C][C]1.21005807422657[/C][/ROW]
[ROW][C]0.375[/C][C]72.2665495656301[/C][C]1.23936597244925[/C][/ROW]
[ROW][C]0.385[/C][C]72.768830039468[/C][C]1.24954999824247[/C][/ROW]
[ROW][C]0.395[/C][C]73.2679427488339[/C][C]1.23512920164313[/C][/ROW]
[ROW][C]0.405[/C][C]73.7530534674211[/C][C]1.19039667133481[/C][/ROW]
[ROW][C]0.415[/C][C]74.2122055267359[/C][C]1.11398957542331[/C][/ROW]
[ROW][C]0.425[/C][C]74.6352372093049[/C][C]1.01611315746269[/C][/ROW]
[ROW][C]0.435[/C][C]75.0165023544324[/C][C]0.909741380850402[/C][/ROW]
[ROW][C]0.445[/C][C]75.3558828551327[/C][C]0.808808135363252[/C][/ROW]
[ROW][C]0.455[/C][C]75.6585012109957[/C][C]0.7268047324615[/C][/ROW]
[ROW][C]0.465[/C][C]75.9340066656121[/C][C]0.673300974470074[/C][/ROW]
[ROW][C]0.475[/C][C]76.1952861531285[/C][C]0.656027125845838[/C][/ROW]
[ROW][C]0.485[/C][C]76.4560510682689[/C][C]0.672989479817978[/C][/ROW]
[ROW][C]0.495[/C][C]76.7278035087065[/C][C]0.714170432912097[/C][/ROW]
[ROW][C]0.505[/C][C]77.0177147347396[/C][C]0.766759054899682[/C][/ROW]
[ROW][C]0.515[/C][C]77.3284735809476[/C][C]0.819957104924327[/C][/ROW]
[ROW][C]0.525[/C][C]77.6596514666401[/C][C]0.869484516384336[/C][/ROW]
[ROW][C]0.535[/C][C]78.0091923435183[/C][C]0.91185672104584[/C][/ROW]
[ROW][C]0.545[/C][C]78.3740389595393[/C][C]0.945014334574663[/C][/ROW]
[ROW][C]0.555[/C][C]78.7500178456806[/C][C]0.965301090605735[/C][/ROW]
[ROW][C]0.565[/C][C]79.1318895986005[/C][C]0.970663143111174[/C][/ROW]
[ROW][C]0.575[/C][C]79.5143837117322[/C][C]0.963638056287923[/C][/ROW]
[ROW][C]0.585[/C][C]79.8941517258622[/C][C]0.950533659516586[/C][/ROW]
[ROW][C]0.595[/C][C]80.2715449130001[/C][C]0.94326411380162[/C][/ROW]
[ROW][C]0.605[/C][C]80.6509243893164[/C][C]0.95153513549171[/C][/ROW]
[ROW][C]0.615[/C][C]81.0391700829576[/C][C]0.978190512586098[/C][/ROW]
[ROW][C]0.625[/C][C]81.4432198881512[/C][C]1.01971894998476[/C][/ROW]
[ROW][C]0.635[/C][C]81.8676713233653[/C][C]1.06779474247233[/C][/ROW]
[ROW][C]0.645[/C][C]82.3129245864923[/C][C]1.10976290187471[/C][/ROW]
[ROW][C]0.655[/C][C]82.7742356321262[/C][C]1.13334470108404[/C][/ROW]
[ROW][C]0.665[/C][C]83.2425317248354[/C][C]1.13025483276996[/C][/ROW]
[ROW][C]0.675[/C][C]83.7075955290855[/C][C]1.10249722194178[/C][/ROW]
[ROW][C]0.685[/C][C]84.1625585044803[/C][C]1.06369848561302[/C][/ROW]
[ROW][C]0.695[/C][C]84.6069108878612[/C][C]1.03174662488390[/C][/ROW]
[ROW][C]0.705[/C][C]85.0453836823637[/C][C]1.01513200478071[/C][/ROW]
[ROW][C]0.715[/C][C]85.482644236715[/C][C]1.00581781754927[/C][/ROW]
[ROW][C]0.725[/C][C]85.9174714660072[/C][C]0.985244729277902[/C][/ROW]
[ROW][C]0.735[/C][C]86.3419591504936[/C][C]0.940064262104131[/C][/ROW]
[ROW][C]0.745[/C][C]86.748231722096[/C][C]0.881342878587583[/C][/ROW]
[ROW][C]0.755[/C][C]87.1382102402246[/C][C]0.839994920000027[/C][/ROW]
[ROW][C]0.765[/C][C]87.5278005088063[/C][C]0.84727406672922[/C][/ROW]
[ROW][C]0.775[/C][C]87.9407490465892[/C][C]0.907693297263047[/C][/ROW]
[ROW][C]0.785[/C][C]88.3961803834636[/C][C]0.994820852622849[/C][/ROW]
[ROW][C]0.795[/C][C]88.8996221479324[/C][C]1.07408752150579[/C][/ROW]
[ROW][C]0.805[/C][C]89.4454174471233[/C][C]1.12975316439128[/C][/ROW]
[ROW][C]0.815[/C][C]90.029507413051[/C][C]1.18068392740026[/C][/ROW]
[ROW][C]0.825[/C][C]90.661635993037[/C][C]1.26106525568625[/C][/ROW]
[ROW][C]0.835[/C][C]91.3645996297822[/C][C]1.3862211387576[/C][/ROW]
[ROW][C]0.845[/C][C]92.1604979218096[/C][C]1.53502319655896[/C][/ROW]
[ROW][C]0.855[/C][C]93.0621267120131[/C][C]1.68468234195280[/C][/ROW]
[ROW][C]0.865[/C][C]94.086930490665[/C][C]1.86177536522396[/C][/ROW]
[ROW][C]0.875[/C][C]95.27448482782[/C][C]2.10713833741742[/C][/ROW]
[ROW][C]0.885[/C][C]96.6648531143888[/C][C]2.37659541586188[/C][/ROW]
[ROW][C]0.895[/C][C]98.2522238996254[/C][C]2.56037674823946[/C][/ROW]
[ROW][C]0.905[/C][C]99.985014753063[/C][C]2.62010707476981[/C][/ROW]
[ROW][C]0.915[/C][C]101.812154550313[/C][C]2.59695318094803[/C][/ROW]
[ROW][C]0.925[/C][C]103.706293169787[/C][C]2.52592332917429[/C][/ROW]
[ROW][C]0.935[/C][C]105.674741074309[/C][C]2.46159881688187[/C][/ROW]
[ROW][C]0.945[/C][C]107.797034996767[/C][C]2.49692805376015[/C][/ROW]
[ROW][C]0.955[/C][C]110.268146839756[/C][C]2.72042977053285[/C][/ROW]
[ROW][C]0.965[/C][C]113.646612561580[/C][C]3.53379232513066[/C][/ROW]
[ROW][C]0.975[/C][C]119.503968683168[/C][C]5.54742147865435[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47598&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47598&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
0.02547.28658948631820.546341372358286
0.03547.95338444935670.544203098747074
0.04548.54154295236110.588397113184609
0.05549.130688700670.705660266199481
0.06549.80623990288820.948765974213701
0.07550.64997651131711.27159636157667
0.08551.64385617143631.45609353394698
0.09552.64864933590471.40632231394771
0.10553.55705264438941.30117165826976
0.11554.3824213521211.28440337139418
0.12555.18175703225091.33526114349448
0.13555.99141218086361.42211364710311
0.14556.82719943947031.5205089048923
0.15557.68953974394421.60429841989807
0.16558.57504198017871.69204368622975
0.17559.49337156955991.81885285863324
0.18560.4613180857971.97279501431539
0.19561.48180039383272.10630084249984
0.20562.53429948871952.17346843569159
0.21563.5786915424672.13899163349072
0.22564.56504417906651.99132137071581
0.23565.4493772740441.76127362082002
0.24566.2100534835761.50927745532541
0.25566.8529044733771.29289751178088
0.26567.40233233142381.13731833754120
0.27567.88742216051651.04016061046058
0.28568.33225506792780.984650651733544
0.29568.75294321873390.954753683597777
0.30569.15957873494120.94114794753697
0.31569.56032547529620.946521763908995
0.32569.96459846028610.976870163090224
0.33570.38277895171851.03198728913263
0.34570.82269297824311.09933841060058
0.35571.28631124055851.16260204017785
0.36571.7698454340981.21005807422657
0.37572.26654956563011.23936597244925
0.38572.7688300394681.24954999824247
0.39573.26794274883391.23512920164313
0.40573.75305346742111.19039667133481
0.41574.21220552673591.11398957542331
0.42574.63523720930491.01611315746269
0.43575.01650235443240.909741380850402
0.44575.35588285513270.808808135363252
0.45575.65850121099570.7268047324615
0.46575.93400666561210.673300974470074
0.47576.19528615312850.656027125845838
0.48576.45605106826890.672989479817978
0.49576.72780350870650.714170432912097
0.50577.01771473473960.766759054899682
0.51577.32847358094760.819957104924327
0.52577.65965146664010.869484516384336
0.53578.00919234351830.91185672104584
0.54578.37403895953930.945014334574663
0.55578.75001784568060.965301090605735
0.56579.13188959860050.970663143111174
0.57579.51438371173220.963638056287923
0.58579.89415172586220.950533659516586
0.59580.27154491300010.94326411380162
0.60580.65092438931640.95153513549171
0.61581.03917008295760.978190512586098
0.62581.44321988815121.01971894998476
0.63581.86767132336531.06779474247233
0.64582.31292458649231.10976290187471
0.65582.77423563212621.13334470108404
0.66583.24253172483541.13025483276996
0.67583.70759552908551.10249722194178
0.68584.16255850448031.06369848561302
0.69584.60691088786121.03174662488390
0.70585.04538368236371.01513200478071
0.71585.4826442367151.00581781754927
0.72585.91747146600720.985244729277902
0.73586.34195915049360.940064262104131
0.74586.7482317220960.881342878587583
0.75587.13821024022460.839994920000027
0.76587.52780050880630.84727406672922
0.77587.94074904658920.907693297263047
0.78588.39618038346360.994820852622849
0.79588.89962214793241.07408752150579
0.80589.44541744712331.12975316439128
0.81590.0295074130511.18068392740026
0.82590.6616359930371.26106525568625
0.83591.36459962978221.3862211387576
0.84592.16049792180961.53502319655896
0.85593.06212671201311.68468234195280
0.86594.0869304906651.86177536522396
0.87595.274484827822.10713833741742
0.88596.66485311438882.37659541586188
0.89598.25222389962542.56037674823946
0.90599.9850147530632.62010707476981
0.915101.8121545503132.59695318094803
0.925103.7062931697872.52592332917429
0.935105.6747410743092.46159881688187
0.945107.7970349967672.49692805376015
0.955110.2681468397562.72042977053285
0.965113.6466125615803.53379232513066
0.975119.5039686831685.54742147865435


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.025 ; par2 = 0.975 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.025 ; par2 = 0.975 ; 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')