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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 08:51:32 -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/t1226418755d98o9bmt1hagjrn.htm/, Retrieved Mon, 20 May 2024 04:13:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23613, Retrieved Mon, 20 May 2024 04:13:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Exercise 1.13] [Exercise 1.13 (Wo...] [2008-10-01 13:28:34] [b98453cac15ba1066b407e146608df68]
- RMPD  [Univariate Data Series] [Time series 1] [2008-10-13 19:38:20] [7496c02ff89a4d46194b78685600e356]
F RMPD      [Bivariate Kernel Density Estimation] [Q1] [2008-11-11 15:51:32] [5e2b1e7aa808f9f0d23fd35605d4968f] [Current]
F RMPD        [Partial Correlation] [Q1 - Partial Corr...] [2008-11-11 15:54:53] [299afd6311e4c20059ea2f05c8dd029d]
- RMPD        [Trivariate Scatterplots] [Q1 Trivariate Sca...] [2008-11-11 15:58:30] [299afd6311e4c20059ea2f05c8dd029d]
Feedback Forum
2008-11-19 21:02:05 [Nathalie Koulouris] [reply] 
De student heeft gebruik gemaakt van de juiste methode. Er is inderdaad grote correlatie zichtbaar.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12192.5
11268.8
9097.4
12639.8
13040.1
11687.3
11191.7
11391.9
11793.1
13933.2
12778.1
11810.3
13698.4
11956.6
10723.8
13938.9
13979.8
13807.4
12973.9
12509.8
12934.1
14908.3
13772.1
13012.6
14049.9
11816.5
11593.2
14466.2
13615.9
14733.9
13880.7
13527.5
13584
16170.2
13260.6
14741.9
15486.5
13154.5
12621.2
15031.6
15452.4
15428
13105.9
14716.8
14180
16202.2
14392.4
15140.6
15960.1
14351.3
13230.2
15202.1
17157.3
16159.1
13405.7
17224.7
17338.4
17370.6
18817.8
16593.2
17979.5
Dataseries Y:
Download CSV
Histogram 
3277.2
3833
2606.3
3643.8
3686.4
3281.6
3669.3
3191.5
3512.7
3970.7
3601.2
3610
4172.1
3956.2
3142.7
3884.3
3892.2
3613
3730.5
3481.3
3649.5
4215.2
4066.6
4196.8
4536.6
4441.6
3548.3
4735.9
4130.6
4356.2
4159.6
3988
4167.8
4902.2
3909.4
4697.6
4308.9
4420.4
3544.2
4433
4479.7
4533.2
4237.5
4207.4
4394
5148.4
4202.2
4682.5
4884.3
5288.9
4505.2
4611.5
5081.1
4523.1
4412.8
4647.4
4778.6
4495.3
4633.5
4360.5
4517.9

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'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23613&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23613&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23613&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'George Udny Yule' @ 72.249.76.132






Bandwidth
x axis877.871753907064
y axis229.964817667061
Correlation
correlation used in KDE0.788635165913508
correlation(x,y)0.788635165913508

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 877.871753907064 \tabularnewline
y axis & 229.964817667061 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.788635165913508 \tabularnewline
correlation(x,y) & 0.788635165913508 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23613&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]877.871753907064[/C][/ROW]
[ROW][C]y axis[/C][C]229.964817667061[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.788635165913508[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.788635165913508[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23613&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23613&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 axis877.871753907064
y axis229.964817667061
Correlation
correlation used in KDE0.788635165913508
correlation(x,y)0.788635165913508


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')