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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

Mon, 07 Dec 2015 19:43:34 +0000

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/2015/Dec/07/t14495174404us5bq8uofuf8vc.htm/, Retrieved Fri, 01 Nov 2024 00:05:51 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285430, Retrieved Fri, 01 Nov 2024 00:05:51 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

103

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

-       [Bivariate Kernel Density Estimation] [Hypothese 2: Biva...] [2015-12-07 19:43:34] [b11eaa2e13e6bae1ff447872cd0e766a] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

8
9.300000191
7.5
8.899999619
10.19999981
8.300000191
8.800000191
8.800000191
10.69999981
11.69999981
8.5
8.300000191
8.199999809
7.900000095
10.30000019
7.400000095
9.600000381
9.300000191
10.60000038
9.699999809
11.60000038
8.100000381
9.800000191
7.400000095
9.399999619
11.19999981
9.100000381
10.5
11.89999962
8.399999619
5
9.800000191
9.800000191
10.80000019
10.10000038
10.89999962
9.199999809
8.300000191
7.300000191
9.399999619
9.399999619
9.800000191
3.599999905
8.399999619
10.80000019
10.10000038
9
10
11.30000019
11.30000019
12.80000019
10
6.699999809

Dataseries Y:

Download CSV

Histogram

9.100000381
8.699999809
7.199999809
8.899999619
8.300000191
10.89999962
10
9.100000381
8.699999809
7.599999905
10.80000019
9.5
8.800000191
9.5
8.699999809
11.19999981
9.699999809
9.600000381
9.100000381
9.199999809
8.300000191
8.399999619
9.399999619
9.800000191
10.39999962
9.899999619
9.199999809
10.30000019
8.899999619
9.600000381
10.30000019
10.39999962
9.699999809
9.600000381
10.69999981
10.30000019
10.69999981
9.600000381
10.5
7.699999809
10.19999981
9.899999619
8.399999619
10.39999962
9.199999809
13
8.800000191
9.199999809
7.800000191
8.199999809
7.400000095
10.39999962
8.899999619

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' @ yule.wessa.net

\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' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285430&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' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285430&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285430&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' @ yule.wessa.net

Bandwidth
x axis	0.762485171835688
y axis	0.526529122435545
Correlation
correlation used in KDE	-0.17199239325176
correlation(x,y)	-0.17199239325176

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 0.762485171835688 \tabularnewline
y axis & 0.526529122435545 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.17199239325176 \tabularnewline
correlation(x,y) & -0.17199239325176 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285430&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]0.762485171835688[/C][/ROW]
[ROW][C]y axis[/C][C]0.526529122435545[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.17199239325176[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.17199239325176[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285430&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285430&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	0.762485171835688
y axis	0.526529122435545
Correlation
correlation used in KDE	-0.17199239325176
correlation(x,y)	-0.17199239325176

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ; par8 = terrain.colors ;

Parameters (R input):

par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ; par8 = terrain.colors ;

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')
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
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
if (par8 == 'terrain.colors') mycol <- terrain.colors(100)
if (par8 == 'rainbow') mycol <- rainbow(100)
if (par8 == 'heat.colors') mycol <- heat.colors(100)
if (par8 == 'topo.colors') mycol <- topo.colors(100)
if (par8 == 'cm.colors') mycol <- cm.colors(100)
bitmap(file='bidensity.png')
op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
image(op$xords, op$yords, op$zden, col=mycol, axes=TRUE,main=main,xlab=xlab,ylab=ylab)
if (par6=='Y') contour(op$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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code