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Description of Statistical Computation

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 computationWed, 28 Oct 2009 11:55:12 -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/28/t1256752671ebf66zrb0alo7ud.htm/, Retrieved Mon, 06 May 2024 05:50:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51667, Retrieved Mon, 06 May 2024 05:50:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Kernel Density Estimation] [Workshop 4 vraag ...] [2009-10-28 17:55:12] [0875edf2b3e9b91e51327d1913579f76] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
82.1
55.1
60.6
56.5
53.4
58.5
60.7
47.3
53.7
46.9
51.8
55.2
61.6
47.5
46.1
54.3
49.2
62.6
54.7
48.4
42.1
46.6
55
56.7
55.7
52
65.2
51
57.3
60.5
59.2
40.8
39.5
54.6
54.7
53.3
56.7
57.8
57.1
51.1
60.3
58
63.2
54.5
50.3
48.2
51.3
52.6
68
67.5
53.4
65.3
64.9
51.9
60.6
50.5
61.5
74.4
66.4
69.8
96.8
Dataseries Y:
Download CSV
Histogram 
107.3
107.2
107.2
105.7
105.7
104.9
104.8
104
104
103.6
103.6
103.6
103.6
104.2
104.2
104.7
104.7
104.7
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.1
106.2
106.4
106.4
106.4
107
107
107
107
106.1
106.3
106.2
106.2
106.3
106.3
106.2
107.1
105.2
103.4
102.4
100.6
100.6
100.6
99.8
100.2
101.4
101
100.6
100

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=51667&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=51667&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51667&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






Bandwidth
x axis3.35264454253579
y axis0.411400256599624
Correlation
correlation used in KDE-0.312640930340189
correlation(x,y)-0.312640930340189

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 3.35264454253579 \tabularnewline
y axis & 0.411400256599624 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.312640930340189 \tabularnewline
correlation(x,y) & -0.312640930340189 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51667&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]3.35264454253579[/C][/ROW]
[ROW][C]y axis[/C][C]0.411400256599624[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.312640930340189[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.312640930340189[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51667&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51667&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:

Bandwidth
x axis3.35264454253579
y axis0.411400256599624
Correlation
correlation used in KDE-0.312640930340189
correlation(x,y)-0.312640930340189


Figures (Output of Computation)

Input Parameters & R Code

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')