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Description of Statistical Computation

Author's title

Prijsindexcijfers van de grondstoffen , Energiegrondstoffen, Totaal -in vgl...

Author*Unverified author*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationThu, 06 Nov 2008 09:13:48 -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/06/t1225988120pq6kec0wjfz797z.htm/, Retrieved Wed, 15 May 2024 17:19:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22300, Retrieved Wed, 15 May 2024 17:19:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131

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] [totaal grondstoff...] [2007-11-05 10:07:59] [ede03b06b9ae6a59763c2cc70a5f12fe]
-    D    [Bivariate Kernel Density Estimation] [Prijsindexcijfers...] [2008-11-06 16:13:48] [1b288879226ab9a3cab0c803857233cc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
96.7
88.0
96.7
106.8
114.3
105.7
90.1
91.6
97.7
100.8
104.6
95.9
102.7
104.0
107.9
113.8
113.8
123.1
125.1
137.6
134.0
140.3
152.1
150.6
167.3
153.2
142.0
154.4
158.5
180.9
181.3
172.4
192.0
199.3
215.4
214.3
201.5
190.5
196.0
215.7
209.4
214.1
237.8
239.0
237.8
251.5
248.8
215.4
201.2
203.1
214.2
188.9
203.0
213.3
228.5
228.2
240.9
258.8
248.5
269.2
Dataseries Y:
Download CSV
Histogram 
96.9
98.0
97.9
100.9
103.9
103.1
102.5
104.3
102.6
101.7
102.8
105.4
110.9
113.5
116.3
124.0
128.8
133.5
132.6
128.4
127.3
126.7
123.3
123.2
124.4
128.2
128.7
135.7
139.0
145.4
142.4
137.7
137.0
137.1
139.3
139.6
140.4
142.3
148.3
157.7
161.6
161.7
171.8
185.1
176.7
184.4
183.0
180.9
187.0
189.9
193.8
194.5
198.7
204.7
213.2
214.7
211.0
213.2
206.3
210.8

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 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=22300&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]2 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=22300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22300&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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Bandwidth
x axis18.1116066082722
y axis12.2851537636829
Correlation
correlation used in KDE0.895051835310673
correlation(x,y)0.895051835310673

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 18.1116066082722 \tabularnewline
y axis & 12.2851537636829 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.895051835310673 \tabularnewline
correlation(x,y) & 0.895051835310673 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22300&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]18.1116066082722[/C][/ROW]
[ROW][C]y axis[/C][C]12.2851537636829[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.895051835310673[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.895051835310673[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22300&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 axis18.1116066082722
y axis12.2851537636829
Correlation
correlation used in KDE0.895051835310673
correlation(x,y)0.895051835310673


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')