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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 computationMon, 07 Dec 2015 19:47:58 +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/t1449517722lavipwqr6jwacrm.htm/, Retrieved Thu, 16 May 2024 07:05:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285431, Retrieved Thu, 16 May 2024 07:05:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

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] [Hypothese 3: Kern...] [2015-12-07 19:47:58] [b11eaa2e13e6bae1ff447872cd0e766a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
78
68
70
96
74
111
77
168
82
89
149
60
96
83
130
145
112
131
80
130
140
154
118
94
119
153
116
97
176
75
134
161
111
114
142
238
78
196
125
82
125
129
84
183
119
180
82
71
118
121
68
112
109
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

Tables (Output of Computation)





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=285431&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=285431&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285431&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net






Bandwidth
x axis15.3712768961068
y axis0.526529122435545
Correlation
correlation used in KDE0.433287955928575
correlation(x,y)0.433287955928575

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 15.3712768961068 \tabularnewline
y axis & 0.526529122435545 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.433287955928575 \tabularnewline
correlation(x,y) & 0.433287955928575 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285431&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]15.3712768961068[/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]0.433287955928575[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.433287955928575[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285431&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285431&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 axis15.3712768961068
y axis0.526529122435545
Correlation
correlation used in KDE0.433287955928575
correlation(x,y)0.433287955928575


Figures (Output of Computation)

Input Parameters & R Code

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')