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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_bidensity.wasp

Title produced by software

Bivariate Kernel Density Estimation

Date of computation

Tue, 11 Nov 2008 06:11:59 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/11/t1226409260ubn8j0zn2xsy8ej.htm/, Retrieved Sun, 19 May 2024 10:24:06 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23444, Retrieved Sun, 19 May 2024 10:24:06 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

163

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F     [Notched Boxplots] [workshop 3] [2007-10-26 13:31:48] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
F    D  [Notched Boxplots] [Q1 - Notched Boxplot] [2008-11-03 09:57:32] [a7f04e0e73ce3683561193958d653479]
F RMPD      [Bivariate Kernel Density Estimation] [Various EDA topic...] [2008-11-11 13:11:59] [f1a30f1149cef3ef3ef69d586c6c3c1c] [Current]

Feedback Forum

2008-11-20 09:13:46 [An De Koninck] [reply] 
Uit de tabel kan je afleiden dat er een lage correlatie, dus samenhang is tussen deze twee variabelen.  
Dit zie je ook aan de grafiek: er is wel sprake van 1 cluster, maar de hoogtelijnen liggen al duidelijk verder uit elkaar dan in de vorige grafiek (deze die het verband aangeeft tussen het sparen van de gezinnen en de economische situatie). 
De punten liggen dus veel meer verspreid over de grafiek en ze liggen ook verder af van de diagnoale lijn die getrokken werd door de grafiek. Er zijn maar een aantal punten die op of dicht tegen deze lijn liggen, wat wijst op een lagere dichtheid.

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Dataseries X:

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Histogram

Boxplots

Dataseries Y:

Download CSV

Histogram

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23444&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23444&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23444&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Bandwidth
x axis	287.611513510986
y axis	17662.7454047312
Correlation
correlation used in KDE	0.222859860733208
correlation(x,y)	0.222859860733208

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 287.611513510986 \tabularnewline
y axis & 17662.7454047312 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.222859860733208 \tabularnewline
correlation(x,y) & 0.222859860733208 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23444&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]287.611513510986[/C][/ROW]
[ROW][C]y axis[/C][C]17662.7454047312[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.222859860733208[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.222859860733208[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23444&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23444&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 axis	287.611513510986
y axis	17662.7454047312
Correlation
correlation used in KDE	0.222859860733208
correlation(x,y)	0.222859860733208

Figure 1

PNG link

Postscript link

PDF link

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')

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code