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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationMon, 09 Nov 2009 03:22:31 -0700
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/Nov/09/t12577622023kylfdm8u5w8uwp.htm/, Retrieved Sat, 20 Apr 2024 07:59:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54706, Retrieved Sat, 20 Apr 2024 07:59:51 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact192
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Kernel Density Estimation] [3/11/2009] [2009-11-02 21:54:51] [b98453cac15ba1066b407e146608df68]
-   PD    [Bivariate Kernel Density Estimation] [Bivariate Kernel ...] [2009-11-09 10:22:31] [4f297b039e1043ebee7ff7a83b1eaaaa] [Current]
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Dataseries X:
83.33
83.33
78.33
77.50
76.67
74.17
72.50
72.50
75.83
71.67
74.17
78.33
85.00
83.33
81.67
83.33
85.00
86.67
90.00
90.00
87.50
89.17
85.83
91.67
90.83
90.83
91.67
93.33
94.17
94.17
91.67
93.33
91.67
85.83
93.33
94.17
90.83
90.83
90.83
90.83
87.50
89.17
88.33
90.83
91.67
88.33
85.00
85.83
80.83
84.17
83.33
83.33
83.33
88.33
90.83
90.00
87.50
87.50
86.67
87.50
90.83
90.83
89.17
92.50
87.50
89.17
90.00
91.67
90.00
87.50
87.50
80.00
88.33
83.33
81.67
84.17
85.00
83.33
77.50
81.67
85.00
85.83
89.17
90.00
90.00
90.00
91.67
92.50
93.33
92.50
94.17
93.33
91.67
85.83
77.50
80.83
89.17
92.50
95.83
95.83
95.00
95.00
98.33
99.17
103.33
105.00
104.17
104.17
100.83
105.83
103.33
105.00
103.33
102.50
103.33
101.67
100.00
Dataseries Y:
241.66
251.25
230.26
240.91
211.20
188.19
177.01
167.85
174.03
170.09
203.42
254.97
342.84
386.29
440.51
433.58
408.13
370.32
355.51
332.62
314.62
301.73
306.31
282.98
266.48
249.97
259.87
246.24
238.36
238.04
224.19
214.71
203.11
221.00
211.73
209.39
217.48
242.19
244.64
232.07
235.80
230.37
209.82
206.41
209.60
192.24
186.17
193.41
202.36
203.00
190.64
185.43
171.58
179.57
180.42
162.10
157.95
146.66
154.43
163.38
150.92
151.98
144.74
140.37
143.36
135.79
134.73
126.42
124.72
117.90
114.07
112.26
105.44
110.77
107.68
105.76
102.03
100.22
111.62
118.11
111.72
103.42
97.13
103.10
104.91
100.22
98.52
95.32
96.92
96.60
92.55
82.75
80.84
79.13
79.77
85.10
96.39
97.56
96.39
101.18
103.52
100.11
99.26
104.48
101.29
100.33
115.24
113.64
115.35
108.42
105.65
108.64
104.80
95.43
104.48
103.84
100.01




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54706&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54706&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54706&T=0

As an alternative you can also use a 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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Bandwidth
x axis1.82612452771656
y axis16.8612079962576
Correlation
correlation used in KDE-0.295061279971336
correlation(x,y)-0.295061279971336

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1.82612452771656 \tabularnewline
y axis & 16.8612079962576 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.295061279971336 \tabularnewline
correlation(x,y) & -0.295061279971336 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54706&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1.82612452771656[/C][/ROW]
[ROW][C]y axis[/C][C]16.8612079962576[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.295061279971336[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.295061279971336[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54706&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54706&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Bandwidth
x axis1.82612452771656
y axis16.8612079962576
Correlation
correlation used in KDE-0.295061279971336
correlation(x,y)-0.295061279971336



Parameters (Session):
par1 = 3 ; par2 = TRUE ; par3 = TRUE ;
Parameters (R input):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
par4 <- as(par4,'numeric')
par5 <- as(par5,'numeric')
library('GenKern')
if (par3==0) par3 <- dpik(x)
if (par4==0) par4 <- dpik(y)
if (par5==0) par5 <- cor(x,y)
if (par1 > 500) par1 <- 500
if (par2 > 500) par2 <- 500
bitmap(file='bidensity.png')
op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
image(op$xords, op$yords, op$zden, col=terrain.colors(100), axes=TRUE,main=main,xlab=xlab,ylab=ylab)
if (par6=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
if (par7=='Y') points(x,y)
(r<-lm(y ~ x))
abline(r)
box()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Bandwidth',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'x axis',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'y axis',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'correlation used in KDE',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'correlation(x,y)',header=TRUE)
a<-table.element(a,cor(x,y))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')