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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 computationThu, 18 Dec 2008 05:31:15 -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/18/t12296035687u26iix3x6ygifv.htm/, Retrieved Sat, 11 May 2024 23:08:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34712, Retrieved Sat, 11 May 2024 23:08:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [Paper - Un. EDA -...] [2008-12-18 11:54:57] [85841a4a203c2f9589565c024425a91b]
- RMPD    [Bivariate Kernel Density Estimation] [Paper - Bivariate...] [2008-12-18 12:31:15] [07b7cf1321bc38017c2c7efcf91ca696] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97.57
97.74
97.92
98.19
98.23
98.41
98.59
98.71
99.14
99.62
100.18
100.66
101.19
101.75
102.2
102.87
98.81
97.6
96.68
95.96
98.89
99.05
99.2
99.11
99.19
99.77
100.70
100.78
100.53
101.01
100.92
101.10
103.11
102.99
102.31
102.61
103.68
104.72
107.66
108.87
108.12
107.61
106.42
105.61
105.71
105.49
105.57
105.18
106.09
106.34
108.47
116.87
121.08
123.27
124.18
125.60
126.57
127.18
128.04
128.55
129.67
Dataseries Y:
Download CSV
Histogram 
127.96
127.47
126.47
125.75
125.42
125.14
125.15
125.51
125.63
126.22
126.88
127.96
128.74
129.6
131.2
132.72
134.67
135.94
136.39
136.74
137.2
137.36
138.63
141.07
143.32
147.91
152.56
151.61
156.56
157.45
158.13
159.18
159.47
159.79
161.65
162.77
163.48
166.16
163.86
162.12
149.08
145.32
141.21
134.68
133.65
139.17
138.61
144.96
157.99
167.18
174.48
182.77
190.00
189.70
188.90
198.28
201.18
204.14
221.02
221.12
220.68

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=34712&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=34712&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34712&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 axis1.72212705137963
y axis6.89245699767754
Correlation
correlation used in KDE0.905610282863384
correlation(x,y)0.905610282863384

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1.72212705137963 \tabularnewline
y axis & 6.89245699767754 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.905610282863384 \tabularnewline
correlation(x,y) & 0.905610282863384 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34712&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1.72212705137963[/C][/ROW]
[ROW][C]y axis[/C][C]6.89245699767754[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.905610282863384[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.905610282863384[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34712&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34712&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 axis1.72212705137963
y axis6.89245699767754
Correlation
correlation used in KDE0.905610282863384
correlation(x,y)0.905610282863384


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')