Free Statistics

of Irreproducible Research!

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 06:10:40 -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/t1257772268uzawgffew2e15hk.htm/, Retrieved Fri, 29 Mar 2024 02:30:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54804, Retrieved Fri, 29 Mar 2024 02:30:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Kernel Density Estimation] [Biva Kernell Density] [2009-11-09 13:10:40] [1aecede37375310a889a187dca5e5c0a] [Current]
Feedback Forum

Post a new message
Dataseries X:
90.21
93.24
95.60
97.58
100.81
101.65
102.08
100.18
101.36
103.46
106.59
107.24
107.84
110.08
114.34
120.00
124.78
128.21
127.48
124.39
116.83
121.13
126.39
129.92
135.43
137.43
140.42
145.42
147.35
142.58
150.25
153.71
151.23
149.32
137.53
140.60
145.14
134.34
134.72
125.81
121.77
120.24
126.24
124.39
114.68
99.24
99.71
96.94
71.92
65.92
60.96
62.35
59.26
54.65
61.01
67.15
66.42
67.77
75.05
79.95
Dataseries Y:
95.40
99.31
101.80
100.53
102.28
101.89
98.08
98.98
100.02
100.58
100.67
100.46
98.47
102.01
103.28
103.70
104.64
106.31
107.16
108.10
104.90
105.27
107.37
110.01
114.11
116.22
118.06
119.35
120.48
117.02
121.66
127.88
128.58
130.42
126.28
129.31
132.59
125.91
127.88
119.59
118.46
116.31
120.72
122.21
115.00
107.99
109.98
106.01
87.58
82.17
81.99
80.08
73.35
69.01
76.23
80.10
81.96
82.79
89.42
91.90




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=54804&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=54804&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54804&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'RServer@AstonUniversity' @ vre.aston.ac.uk







Bandwidth
x axis10.1172920880824
y axis5.03344441540464
Correlation
correlation used in KDE0.940841854394436
correlation(x,y)0.940841854394436

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 10.1172920880824 \tabularnewline
y axis & 5.03344441540464 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.940841854394436 \tabularnewline
correlation(x,y) & 0.940841854394436 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54804&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]10.1172920880824[/C][/ROW]
[ROW][C]y axis[/C][C]5.03344441540464[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.940841854394436[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.940841854394436[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54804&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54804&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 axis10.1172920880824
y axis5.03344441540464
Correlation
correlation used in KDE0.940841854394436
correlation(x,y)0.940841854394436



Parameters (Session):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ;
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')