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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 19 Oct 2009 11:58:27 -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/t1255975222wfsh8goi8m4ku03.htm/, Retrieved Mon, 29 Apr 2024 23:58:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48022, Retrieved Mon, 29 Apr 2024 23:58:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD        [Harrell-Davis Quantiles] [WS3_Part1_harrell] [2009-10-19 17:58:27] [7a6d96edf94be87996de99db5f42363b] [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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48022&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48022&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48022&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0146.25653886969270.304261396219172
0.0649.45162873967290.809645216072289
0.1153.97636206084141.28104601141963
0.1658.12917600079951.64481531240375
0.2163.06055442557282.17040906810869
0.2667.13744085426661.20690048515007
0.3169.36014632588040.941217429797304
0.3671.5259774781741.18838981582641
0.4173.9865902057651.15601832858473
0.4675.79889112239440.695862879271246
0.5177.17046227438650.793998788921974
0.5678.94056598613330.96986831333195
0.6180.84347648983750.962579419834337
0.6683.00817417055861.13524719499450
0.7185.26405741809461.01081051214317
0.7687.33161689679780.8364665900989
0.8189.73246492604131.15360250519506
0.8693.5571853692251.76646523747657
0.91100.8890584384462.61624682092327
0.96111.7805646714223.01596430595947

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 46.2565388696927 & 0.304261396219172 \tabularnewline
0.06 & 49.4516287396729 & 0.809645216072289 \tabularnewline
0.11 & 53.9763620608414 & 1.28104601141963 \tabularnewline
0.16 & 58.1291760007995 & 1.64481531240375 \tabularnewline
0.21 & 63.0605544255728 & 2.17040906810869 \tabularnewline
0.26 & 67.1374408542666 & 1.20690048515007 \tabularnewline
0.31 & 69.3601463258804 & 0.941217429797304 \tabularnewline
0.36 & 71.525977478174 & 1.18838981582641 \tabularnewline
0.41 & 73.986590205765 & 1.15601832858473 \tabularnewline
0.46 & 75.7988911223944 & 0.695862879271246 \tabularnewline
0.51 & 77.1704622743865 & 0.793998788921974 \tabularnewline
0.56 & 78.9405659861333 & 0.96986831333195 \tabularnewline
0.61 & 80.8434764898375 & 0.962579419834337 \tabularnewline
0.66 & 83.0081741705586 & 1.13524719499450 \tabularnewline
0.71 & 85.2640574180946 & 1.01081051214317 \tabularnewline
0.76 & 87.3316168967978 & 0.8364665900989 \tabularnewline
0.81 & 89.7324649260413 & 1.15360250519506 \tabularnewline
0.86 & 93.557185369225 & 1.76646523747657 \tabularnewline
0.91 & 100.889058438446 & 2.61624682092327 \tabularnewline
0.96 & 111.780564671422 & 3.01596430595947 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48022&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]46.2565388696927[/C][C]0.304261396219172[/C][/ROW]
[ROW][C]0.06[/C][C]49.4516287396729[/C][C]0.809645216072289[/C][/ROW]
[ROW][C]0.11[/C][C]53.9763620608414[/C][C]1.28104601141963[/C][/ROW]
[ROW][C]0.16[/C][C]58.1291760007995[/C][C]1.64481531240375[/C][/ROW]
[ROW][C]0.21[/C][C]63.0605544255728[/C][C]2.17040906810869[/C][/ROW]
[ROW][C]0.26[/C][C]67.1374408542666[/C][C]1.20690048515007[/C][/ROW]
[ROW][C]0.31[/C][C]69.3601463258804[/C][C]0.941217429797304[/C][/ROW]
[ROW][C]0.36[/C][C]71.525977478174[/C][C]1.18838981582641[/C][/ROW]
[ROW][C]0.41[/C][C]73.986590205765[/C][C]1.15601832858473[/C][/ROW]
[ROW][C]0.46[/C][C]75.7988911223944[/C][C]0.695862879271246[/C][/ROW]
[ROW][C]0.51[/C][C]77.1704622743865[/C][C]0.793998788921974[/C][/ROW]
[ROW][C]0.56[/C][C]78.9405659861333[/C][C]0.96986831333195[/C][/ROW]
[ROW][C]0.61[/C][C]80.8434764898375[/C][C]0.962579419834337[/C][/ROW]
[ROW][C]0.66[/C][C]83.0081741705586[/C][C]1.13524719499450[/C][/ROW]
[ROW][C]0.71[/C][C]85.2640574180946[/C][C]1.01081051214317[/C][/ROW]
[ROW][C]0.76[/C][C]87.3316168967978[/C][C]0.8364665900989[/C][/ROW]
[ROW][C]0.81[/C][C]89.7324649260413[/C][C]1.15360250519506[/C][/ROW]
[ROW][C]0.86[/C][C]93.557185369225[/C][C]1.76646523747657[/C][/ROW]
[ROW][C]0.91[/C][C]100.889058438446[/C][C]2.61624682092327[/C][/ROW]
[ROW][C]0.96[/C][C]111.780564671422[/C][C]3.01596430595947[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48022&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48022&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
0.0146.25653886969270.304261396219172
0.0649.45162873967290.809645216072289
0.1153.97636206084141.28104601141963
0.1658.12917600079951.64481531240375
0.2163.06055442557282.17040906810869
0.2667.13744085426661.20690048515007
0.3169.36014632588040.941217429797304
0.3671.5259774781741.18838981582641
0.4173.9865902057651.15601832858473
0.4675.79889112239440.695862879271246
0.5177.17046227438650.793998788921974
0.5678.94056598613330.96986831333195
0.6180.84347648983750.962579419834337
0.6683.00817417055861.13524719499450
0.7185.26405741809461.01081051214317
0.7687.33161689679780.8364665900989
0.8189.73246492604131.15360250519506
0.8693.5571853692251.76646523747657
0.91100.8890584384462.61624682092327
0.96111.7805646714223.01596430595947


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.05 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.05 ;
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')