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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 computationTue, 11 Nov 2008 08:59:54 -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/Nov/11/t1226419228e3qoqmo426k294b.htm/, Retrieved Sat, 18 May 2024 15:26:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23622, Retrieved Sat, 18 May 2024 15:26:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127

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] [2007-11-03 12:20:28] [ccd50806b5892327d2f6528fe41d0c23]
-    D    [Bivariate Kernel Density Estimation] [Q1] [2008-11-11 15:59:54] [9d7d6e0b01d5647e3f5dd21d8ef8600e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
145.3
143.6
142.8
155.9
156.2
149.8
152.7
155.5
159.3
143
141.4
142.8
146.4
152.3
164.3
168
171.3
162.7
150.2
142.5
138.2
138
145.1
138.4
131.8
130.8
126.3
123
124
120.8
122.1
106.5
104.3
108.7
113.8
112.5
106.1
98.4
96
99.3
97.5
95.3
88
94.7
99.4
98.9
96.4
95.3
99.5
101.6
103.9
106.6
108.3
102
93.8
91.6
97.7
94.8
98
103.8
97.8
91.2
89.3
87.5
90.4
94.2
102.2
101.3
96
90.8
93.2
90.9
91.1
90.2
94.3
96
99
103.3
113.1
112.8
112.1
107.4
111
110.5
110.8
112.4
111.5
116.2
122.5
121.3
113.9
110.7
120.8
141.1
147.4
148
158.1
165
187
190.3
182.4
168.8
151.2
120.1
112.5
106.2
107.1
108.5
106.5
108.3
125.6
124
127.2
136.9
135.8
124.3
115.4
113.6
114.4
118.4
117
116.5
115.4
113.6
117.4
116.9
116.4
111.1
110.2
118.9
131.8
130.6
138.3
148.4
148.7
144.3
152.5
162.9
167.2
166.5
185.6
Dataseries Y:
Download CSV
Histogram 
145.9
158.5
152.2
153.7
157.9
154.4
150.7
151.2
147.3
146.6
145.2
139.3
145.7
163.3
181.8
188.1
222.9
206.3
184.9
183.6
186.6
176.5
173.9
184.9
182.5
183.6
172.4
168.9
163.3
152.4
145.8
148.6
143.4
141.2
144.6
144.5
140.8
133.3
127.3
119.6
120.2
121.9
112.4
111
107.8
110.5
118.3
123
112.1
104.2
102.4
100.3
102.6
101.5
103.4
99.4
97.9
98
90.2
87.1
91.8
94.8
91.8
89.3
91.7
86.2
82.8
82.3
79.8
79.4
85.3
87.5
88.3
88.6
94.9
94.7
92.6
91.8
96.4
96.4
107.1
111.9
107.8
109.2
115.3
119.2
107.8
106.8
104.2
94.8
97.5
98.3
100.6
94.9
93.6
98
104.3
103.9
105.3
102.6
103.3
107.9
107.8
109.8
110.6
110.8
119.3
128.1
127.6
137.9
151.4
143.6
143.4
141.9
135.2
133.1
129.6
134.1
136.8
143.5
162.5
163.1
157.2
158.8
155.4
148.5
154.2
153.3
149.4
147.9
156
163
159.1
159.5
157.3
156.4
156.6
162.4
166.8
162.6
168.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23622&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23622&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23622&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Bandwidth
x axis6.7546352845558
y axis7.2797312162531
Correlation
correlation used in KDE0.551560437231348
correlation(x,y)0.551560437231348

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 6.7546352845558 \tabularnewline
y axis & 7.2797312162531 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.551560437231348 \tabularnewline
correlation(x,y) & 0.551560437231348 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23622&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]6.7546352845558[/C][/ROW]
[ROW][C]y axis[/C][C]7.2797312162531[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.551560437231348[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.551560437231348[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23622&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23622&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 axis6.7546352845558
y axis7.2797312162531
Correlation
correlation used in KDE0.551560437231348
correlation(x,y)0.551560437231348


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')