FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationSat, 03 Nov 2007 07:50:57 -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/03/l0bs0y7h90w2xez1194101402.htm/, Retrieved Sat, 04 May 2024 23:38:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=219, Retrieved Sat, 04 May 2024 23:38:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ1 Bivariate Density
Estimated Impact275

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 Dens...] [2007-11-03 14:50:57] [0cecb02636bfe8ebd97a7fef80b2b9e7] [Current]
- RMPD    [Trivariate Scatterplots] [WS4 Q1 Triviate s...] [2007-11-05 09:57:08] [74be16979710d4c4e7c6647856088456]
- RMPD    [Partial Correlation] [WS4 Q1 Partial Co...] [2007-11-05 09:52:29] [74be16979710d4c4e7c6647856088456]
-    D    [Bivariate Kernel Density Estimation] [WS4 Q1 Bivariate ...] [2007-11-05 09:43:54] [74be16979710d4c4e7c6647856088456]
- RMPD    [Hierarchical Clustering] [WS4 Q2 dendrogram] [2007-11-05 10:02:49] [74be16979710d4c4e7c6647856088456]
F R  D      [Hierarchical Clustering] [eda various topic...] [2008-11-04 19:43:54] [077ffec662d24c06be4c491541a44245]
F    D        [Hierarchical Clustering] [] [2008-11-09 18:17:28] [4c8dfb519edec2da3492d7e6be9a5685]
F RMPD          [Star Plot] [] [2008-11-09 18:25:13] [4c8dfb519edec2da3492d7e6be9a5685]
F   P         [Hierarchical Clustering] [Hierarchical clus...] [2008-11-11 16:01:43] [73d6180dc45497329efd1b6934a84aba]
F   P           [Hierarchical Clustering] [Hierarchical Clus...] [2008-11-11 17:33:24] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
F                 [Hierarchical Clustering] [] [2008-11-11 19:45:33] [a7a7b7de998247cdf0f65ef79d563d66]
-                 [Hierarchical Clustering] [] [2008-11-21 17:22:54] [888addc516c3b812dd7be4bd54caa358]
-             [Hierarchical Clustering] [Various EDA Topic...] [2008-11-22 09:58:44] [33f4701c7363e8b81858dafbf0350eed]
F RMPD      [Star Plot] [various EDA topic...] [2008-11-04 19:47:59] [077ffec662d24c06be4c491541a44245]
F   P         [Star Plot] [Star plot] [2008-11-11 16:04:19] [73d6180dc45497329efd1b6934a84aba]
-   P           [Star Plot] [Starplot] [2008-11-11 17:35:54] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
- RMPD      [Pearson Correlation] [various eda topics] [2008-11-04 20:17:00] [077ffec662d24c06be4c491541a44245]
- RMPD      [Pearson Correlation] [various eda topic...] [2008-11-04 20:17:00] [077ffec662d24c06be4c491541a44245]
- RMPD      [Pearson Correlation] [various eda topic...] [2008-11-04 20:17:00] [077ffec662d24c06be4c491541a44245]
F RMPD      [Box-Cox Linearity Plot] [] [2008-11-04 20:21:52] [077ffec662d24c06be4c491541a44245]
F   PD        [Box-Cox Linearity Plot] [] [2008-11-09 18:32:27] [4c8dfb519edec2da3492d7e6be9a5685]
F   P         [Box-Cox Linearity Plot] [Box-cox linearity...] [2008-11-11 16:06:09] [73d6180dc45497329efd1b6934a84aba]
F   P           [Box-Cox Linearity Plot] [Box-Cox linearity...] [2008-11-11 17:37:44] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
F                 [Box-Cox Linearity Plot] [] [2008-11-11 19:54:20] [a7a7b7de998247cdf0f65ef79d563d66]
-                 [Box-Cox Linearity Plot] [] [2008-11-21 17:56:22] [888addc516c3b812dd7be4bd54caa358]
- RMPD      [Box-Cox Normality Plot] [various eda topic...] [2008-11-04 20:30:40] [077ffec662d24c06be4c491541a44245]
F    D        [Box-Cox Normality Plot] [various eda topic...] [2008-11-04 20:48:12] [077ffec662d24c06be4c491541a44245]
F   PD          [Box-Cox Normality Plot] [] [2008-11-09 18:41:47] [4c8dfb519edec2da3492d7e6be9a5685]
F   P           [Box-Cox Normality Plot] [Box-Cox Normality...] [2008-11-11 16:08:06] [73d6180dc45497329efd1b6934a84aba]
F                 [Box-Cox Normality Plot] [Box-Cox Normality...] [2008-11-11 17:40:11] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
F                   [Box-Cox Normality Plot] [] [2008-11-11 20:04:58] [a7a7b7de998247cdf0f65ef79d563d66]
-                   [Box-Cox Normality Plot] [] [2008-11-21 18:02:08] [888addc516c3b812dd7be4bd54caa358]
- RMPD    [Trivariate Scatterplots] [WS4 Q1 Triviate s...] [2007-11-05 09:57:08] [74be16979710d4c4e7c6647856088456]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
112,8
128
129,6
125,8
119,5
115,7
113,6
129,7
112
116,8
126,3
112,9
115,9
Dataseries Y:
Download CSV
Histogram 
61,2
82,4
85,4
78,2
70,2
70,2
69,3
77,5
66,1
69
75,3
58,2
59,7

Tables (Output of Computation)





Summary of compuational 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 compuational 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=219&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]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=219&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Bandwidth
x axis2.91936067024289
y axis6.78129593924115
Correlation
correlation used in KDE0.888958785424838
correlation(x,y)0.888958785424838

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 2.91936067024289 \tabularnewline
y axis & 6.78129593924115 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.888958785424838 \tabularnewline
correlation(x,y) & 0.888958785424838 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=219&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]2.91936067024289[/C][/ROW]
[ROW][C]y axis[/C][C]6.78129593924115[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.888958785424838[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.888958785424838[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=219&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=219&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 axis2.91936067024289
y axis6.78129593924115
Correlation
correlation used in KDE0.888958785424838
correlation(x,y)0.888958785424838


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')