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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 computationSun, 14 Dec 2008 10:09:32 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/14/t1229274612k4zci24rv5j9x0v.htm/, Retrieved Wed, 15 May 2024 07:42:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33488, Retrieved Wed, 15 May 2024 07:42:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

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] [Bivariate density ] [2008-12-14 17:09:32] [a9e6d7cd6e144e8b311d9f96a24c5a25] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2648.9
2669.6
3042.3
2604.2
2732.1
2621.7
2483.7
2479.3
2684.6
2834.7
2566.1
2251.2
2350
2299.8
2542.8
2530.2
2508.1
2616.8
2534.1
2181.8
2578.9
2841.9
2529.9
2103.2
2326.2
2452.6
2782.1
2727.3
2648.2
2760.7
2613
2225.4
2713.9
2923.3
2707
2473.9
2521
2531.8
3068.8
2826.9
2674.2
2966.6
2798.8
2629.6
3124.6
3115.7
3083
2863.9
2728.7
2789.4
3225.7
3148.2
2836.5
3153.5
2656.9
2834.7
3172.5
2998.8
3103.1
2735.6
2818.1
2874.4
3438.5
2949.1
3306.8
3530
3003.8
3206.4
3514.6
3522.6
3525.5
2996.2
3231.1
3030
3541.7
3113.2
3390.8
3424.2
3079.8
3123.4
3317.1
3579.9
3317.9
2668.1
Dataseries Y:
Download CSV
Histogram 
99.5
93.5
104.6
95.3
102.8
103.3
100.2
107.9
107.5
119.8
112
102.1
105.3
101.3
108.4
107.4
109.1
109.5
111.4
110.1
117
129.6
113.5
113.3
110.1
107.4
110.1
112.5
106
117.6
117.8
113.5
121.2
130.4
115.2
117.9
110.7
107.6
124.3
115.1
112.5
127.9
117.4
119.3
130.4
126
125.4
130.5
115.9
108.7
124
119.4
118.6
131.3
111.1
124.8
132.3
126.7
131.7
130.9
122.1
113.2
133.6
119.2
129.4
131.4
117.1
130.5
132.3
140.8
137.5
128.6
126.7
120.8
139.3
128.6
131.3
136.3
128.8
133.2
136.3
151.1
145
134.4

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' @ 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=33488&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=33488&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33488&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' @ 72.249.76.132






Bandwidth
x axis139.569538294708
y axis4.34014057996037
Correlation
correlation used in KDE0.793346903644725
correlation(x,y)0.793346903644725

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 139.569538294708 \tabularnewline
y axis & 4.34014057996037 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.793346903644725 \tabularnewline
correlation(x,y) & 0.793346903644725 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=33488&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]139.569538294708[/C][/ROW]
[ROW][C]y axis[/C][C]4.34014057996037[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.793346903644725[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.793346903644725[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=33488&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=33488&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 axis139.569538294708
y axis4.34014057996037
Correlation
correlation used in KDE0.793346903644725
correlation(x,y)0.793346903644725


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')