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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 computationSun, 09 Nov 2008 14:14:06 -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/09/t12262652935v4d79942mfb2oy.htm/, Retrieved Sun, 19 May 2024 01:40:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=22879, Retrieved Sun, 19 May 2024 01:40:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Testing Population Proportion - Critical Value] [vraag 1] [2008-11-09 20:15:31] [c45c87b96bbf32ffc2144fc37d767b2e]
- RM    [Minimum Sample Size - Testing Proportions] [vraag 4] [2008-11-09 20:51:51] [c45c87b96bbf32ffc2144fc37d767b2e]
- RM D      [Bivariate Kernel Density Estimation] [vraag 1] [2008-11-09 21:14:06] [3dc594a6c62226e1e98766c4d385bfaa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2293
2045
1532
1333
1583
1712
2641
2267
2126
2231
1517
2010
2628
2115
1829
1636
1787
2122
2620
2555
2337
2524
1801
2417
2389
2266
2135
1755
1907
2178
2345
2674
2765
2786
2004
2589
2739
2700
2459
1965
2152
2379
2930
2691
2852
2752
1787
2580
2604
2532
2265
1745
1914
2148
2466
2498
2512
2458
1825
2267
2364
2328
2034
1587
1633
Dataseries Y:
Download CSV
Histogram 
1.90
1.76
1.76
1.98
1.84
1.86
1.57
1.77
1.61
1.74
1.73
1.78
2.00
1.81
1.88
1.97
1.90
1.87
1.77
1.76
1.77
1.86
1.76
1.77
1.76
1.83
1.84
1.79
1.90
1.94
1.89
1.80
1.76
1.81
1.77
1.81
1.98
1.90
1.97
2.03
2.06
1.94
1.83
1.72
1.81
1.75
1.84
1.82
1.89
2.01
2.17
2.19
2.20
2.07
1.82
1.91
2.04
1.84
1.81
1.89
1.94
1.99
2.00
2.14
1.85

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22879&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22879&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22879&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'Gwilym Jenkins' @ 72.249.127.135






Bandwidth
x axis182.918277142249
y axis0.0434957764644146
Correlation
correlation used in KDE-0.193529331715994
correlation(x,y)-0.193529331715994

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 182.918277142249 \tabularnewline
y axis & 0.0434957764644146 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & -0.193529331715994 \tabularnewline
correlation(x,y) & -0.193529331715994 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=22879&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]182.918277142249[/C][/ROW]
[ROW][C]y axis[/C][C]0.0434957764644146[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]-0.193529331715994[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]-0.193529331715994[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=22879&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=22879&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 axis182.918277142249
y axis0.0434957764644146
Correlation
correlation used in KDE-0.193529331715994
correlation(x,y)-0.193529331715994


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 98 ; par2 = 0.8571 ; par3 = 0.69 ; par4 = 0.05 ;
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')