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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 08:13:09 -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/t1226416436d8puwd2ibxeunyl.htm/, Retrieved Tue, 28 May 2024 07:21:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23578, Retrieved Tue, 28 May 2024 07:21:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact128

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] [Q1 Bivariate density] [2008-11-11 15:13:09] [e11d930c9e2984715c66c796cf63ef19] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12710,3
12120,8
12469,5
12054,6
12112,9
9617,2
12645,8
13581,3
12162,3
10969,7
11880
11887,6
12926,9
12300
12092,8
12380,8
12196,9
9455
13168
13427,9
11980,5
11884,8
11691,7
12233,8
14341,4
13130,7
12421,1
14285,8
12864,6
11160,2
14316,2
14388,7
14013,9
13419
12769,6
13315,5
15332,9
14243
13824,4
14962,9
13202,9
12199
15508,9
14199,8
15169,6
14058
13786,2
14147,9
16541,7
13587,5
15582,4
15802,8
14130,5
12923,2
15612,2
16033,7
16036,6
14037,8
15330,6
15038,3
17401,8
14992,5
16043,7
16929,6
15921,3
14417,2
15961
17851,9
16483,9
14215,5
17429,7
17839,5
17629,2
Dataseries Y:
Download CSV
Histogram 
2468,9
2469,2
2417,7
2411,1
2361
1924,1
2486,9
2674,9
2296,2
2101,5
2322
2273,8
2501,3
2435,2
2273,3
2454,7
2328,8
1897
2608,1
2712,3
2322
2282,6
2241,1
2417,2
2829
2600,6
2321
2768,5
2457,3
2142,7
2764,4
2788,9
2679,5
2536,5
2682,7
2699,6
3097,8
3015,2
2878
3010,9
2612,3
2419,3
3096,5
3013
3397,4
3423,1
3298,7
3065,7
3918,3
3154,4
3334,7
3461,6
3018,5
2832
3301,3
3342,8
3464,4
3016,6
3201,3
3135,3
3549,8
3247,2
3441,8
3535,6
3384,7
2996,6
3402,8
3900,2
3776,4
3197,5
4022,4
3845,1
3818,6

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23578&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23578&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23578&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Bandwidth
x axis776.531622914545
y axis192.929062432734
Correlation
correlation used in KDE0.955274545743278
correlation(x,y)0.955274545743278

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 776.531622914545 \tabularnewline
y axis & 192.929062432734 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.955274545743278 \tabularnewline
correlation(x,y) & 0.955274545743278 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23578&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]776.531622914545[/C][/ROW]
[ROW][C]y axis[/C][C]192.929062432734[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.955274545743278[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.955274545743278[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23578&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23578&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 axis776.531622914545
y axis192.929062432734
Correlation
correlation used in KDE0.955274545743278
correlation(x,y)0.955274545743278


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')