FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationFri, 30 Oct 2009 10:30:03 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/30/t1256920258q6mh5wxvpplgf8s.htm/, Retrieved Sun, 28 Apr 2024 22:44:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52152, Retrieved Sun, 28 Apr 2024 22:44:36 +0000
QR Codes:

Original text written by user:katrien.deroover@student.lessius.eu
IsPrivate?No (this computation is public)
User-defined keywordsWS4 deel 2 model 3 kernel
Estimated Impact227

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
-   PD  [Bivariate Data Series] [WS4 part 1 scatte...] [2009-10-30 13:19:29] [c620fe7250af73a91c51407172a85dab]
- RMP     [Bivariate Explorative Data Analysis] [WS4 part 1] [2009-10-30 13:27:38] [c620fe7250af73a91c51407172a85dab]
- RMPD        [Bivariate Kernel Density Estimation] [WS4 deel 2 model ...] [2009-10-30 16:30:03] [b4ff140915b3f24d4faed3d78f95eba4] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
123.21
118.81
100
84.64
84.64
90.25
92.16
90.25
82.81
79.21
81
102.01
106.09
104.04
92.16
84.64
86.49
88.36
88.36
84.64
81
81
81
96.04
100
96.04
86.49
81
81
82.81
82.81
82.81
84.64
77.44
68.89
70.56
65.61
59.29
62.41
62.41
64
62.41
57.76
50.41
46.24
42.25
47.61
67.24
75.69
68.89
62.41
56.25
60.84
68.89
70.56
67.24
59.29
51.84
53.29
65.61
Dataseries Y:
Download CSV
Histogram 
64
65.61
59.29
56.25
57.76
60.84
60.84
60.84
56.25
56.25
50.41
56.25
56.25
57.76
59.29
59.29
62.41
65.61
67.24
67.24
67.24
62.41
53.29
47.61
43.56
44.89
47.61
49
50.41
51.84
50.41
47.61
49
46.24
40.96
44.89
43.56
40.96
39.69
38.44
42.25
46.24
46.24
40.96
37.21
33.64
37.21
51.84
53.29
47.61
37.21
33.64
38.44
50.41
59.29
62.41
59.29
54.76
56.25
64

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52152&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52152&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52152&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'Gwilym Jenkins' @ 72.249.127.135






Bandwidth
x axis7.01327759457381
y axis4.23693151436083
Correlation
correlation used in KDE0.589700339397937
correlation(x,y)0.589700339397937

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 7.01327759457381 \tabularnewline
y axis & 4.23693151436083 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.589700339397937 \tabularnewline
correlation(x,y) & 0.589700339397937 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52152&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]7.01327759457381[/C][/ROW]
[ROW][C]y axis[/C][C]4.23693151436083[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.589700339397937[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.589700339397937[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52152&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52152&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 axis7.01327759457381
y axis4.23693151436083
Correlation
correlation used in KDE0.589700339397937
correlation(x,y)0.589700339397937


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')