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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 computationFri, 12 Dec 2008 05:56:30 -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/Dec/12/t12290866238ho66ftjgsva91v.htm/, Retrieved Fri, 17 May 2024 16:56:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32656, Retrieved Fri, 17 May 2024 16:56:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172

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] [Kernel 2] [2008-12-12 12:56:30] [a1f1fdabaee79c21770ea0f7b7f045f3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30811
29877
28303
27605
26074
26112
32350
35804
36574
34486
32158
30965
30505
29629
28169
26972
25752
25027
31530
34705
35223
33471
29239
27954
27727
27314
26576
25775
24669
24480
30834
33218
33783
32546
30661
30070
29722
29075
28136
27315
26125
26057
32601
34214
35232
33565
31931
31779
31626
31230
29574
28312
27186
27397
33387
34996
36251
34284
32349
30991
29916
29067
27978
26719
25544
25703
31703
33733
35121
32714
31111
29977
30375
29323
28193
27222
26904
27952
33512
36215
36856
35341
32624
30885
31108
30267
28645
28474
25805
24756
30437
33177
33069
31342
28912
28373
28599
27884
25727
25393
23147
23164
29286
31008
Dataseries Y:
Download CSV
Histogram 
60804
57907
54355
52536
49081
48877
64599
75314
71209
65210
59829
57656
57428
55315
52790
51050
48519
48354
65333
73990
72755
67424
59214
57427
56681
55437
53600
51641
49478
50124
71313
76208
74387
69520
64735
63413
62553
60109
57764
55667
53103
55301
76795
80928
79213
72759
67802
66940
66396
67539
67776
68014
68251
68488
68725
68962
69200
69437
68212
65444
63181
61198
59010
56388
53723
55340
75352
79817
78289
71892
66448
64167
61250
59580
56417
54662
53349
55385
73546
77683
74995
67282
60742
57283
57314
54704
51578
49962
46252
47234
64708
68753
62970
57474
52494
51831
51663
49637
46679
45557
41630
44417
60070
63157

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=32656&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=32656&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32656&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 axis1603.02767089514
y axis3859.53032147619
Correlation
correlation used in KDE0.860482191558631
correlation(x,y)0.860482191558631

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1603.02767089514 \tabularnewline
y axis & 3859.53032147619 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.860482191558631 \tabularnewline
correlation(x,y) & 0.860482191558631 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32656&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1603.02767089514[/C][/ROW]
[ROW][C]y axis[/C][C]3859.53032147619[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.860482191558631[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.860482191558631[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32656&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32656&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 axis1603.02767089514
y axis3859.53032147619
Correlation
correlation used in KDE0.860482191558631
correlation(x,y)0.860482191558631


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')