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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, 07 Dec 2015 19:52:03 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/07/t1449517937z7jqvqlpf9jq6es.htm/, Retrieved Thu, 16 May 2024 13:38:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285432, Retrieved Thu, 16 May 2024 13:38:35 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57
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 19:52:03] [b11eaa2e13e6bae1ff447872cd0e766a] [Current]
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Dataseries X:
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:
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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=285432&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=285432&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285432&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net







Bandwidth
x axis0.762485171835688
y axis0.526529122435545
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=285432&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=285432&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285432&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 axis0.762485171835688
y axis0.526529122435545
Correlation
correlation used in KDE-0.17199239325176
correlation(x,y)-0.17199239325176



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')