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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationSun, 04 Nov 2007 03:06:13 -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/2007/Nov/04/0bgk0gu9wecsvyt1194172506.htm/, Retrieved Sun, 05 May 2024 12:44:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=259, Retrieved Sun, 05 May 2024 12:44:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact214

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...] [2007-11-04 10:06:13] [6bdd947de0ee04552c8f0fc807f31807] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1962,3
2095,2
2161
2115,1
1929
2004,5
2009,9
1524,9
2061,1
2261,6
2103,6
2224,3
2173,8
2119,2
2226,4
2159,6
1918,3
2116,1
1948,3
1514,3
2180,5
2312,6
2019,8
2200,8
2028,9
2178,7
2433,7
2230,5
1884,2
2372,7
1918,6
1679,4
2327,3
2225,2
2211,7
2463,6
2029,5
2173,6
2387
2234
2179,9
2397
1960,2
1824,1
2479,3
2234,9
2345,9
2428,9
2179,4
2216,9
2642,3
2340,5
2474,6
2641,8
2165,1
1996,2
2562,9
2529,9
2549,6
2455,1
2472
2424,7
2820,1
2666
2654,6
2732,2
2546,9
Dataseries Y:
Download CSV
Histogram 
89,9
89,3
105,7
100,3
108,2
105,3
97,9
83,7
101,5
97,9
96
173,9
115,8
109,2
112,2
109,7
102,4
110,2
98,3
88,1
120
121,9
104,6
112,5
107
107,8
137,8
128,8
124,6
133
130,9
156,1
181,6
150,4
140,4
130,1
114,5
108,5
132,3
133,9
109,1
294,6
103,6
101,5
125,7
130,2
130
145,4
124,8
132,2
155,7
131,5
129,5
142,9
131,5
130,4
140,4
152,6
155
136,1
143,9
145,7
165,2
240
152,7
160,3
128,6

Tables (Output of Computation)





Summary of compuational 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 compuational 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=259&T=0

[TABLE]
[ROW][C]Summary of compuational 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=259&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=259&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 compuational 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 axis116.020769667575
y axis10.2317704966296
Correlation
correlation used in KDE0.561083676342634
correlation(x,y)0.561083676342634

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 116.020769667575 \tabularnewline
y axis & 10.2317704966296 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.561083676342634 \tabularnewline
correlation(x,y) & 0.561083676342634 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=259&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]116.020769667575[/C][/ROW]
[ROW][C]y axis[/C][C]10.2317704966296[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.561083676342634[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.561083676342634[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=259&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=259&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 axis116.020769667575
y axis10.2317704966296
Correlation
correlation used in KDE0.561083676342634
correlation(x,y)0.561083676342634


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')