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Author's title

Author*Unverified author*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationMon, 17 Dec 2007 03:09:35 -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/Dec/17/t11978853854mbj41q1urtagmc.htm/, Retrieved Sat, 04 May 2024 00:13:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4312, Retrieved Sat, 04 May 2024 00:13:32 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact212
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Kernel Density Estimation] [kernel density jo...] [2007-12-17 10:09:35] [bd02e85be52eb1cb060a2c60779eb820] [Current]
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Dataseries X:
51978
50330
48538
46636
44574
43028
56924
65193
67132
64398
57591
56279
56331
55015
53405
51200
48695
48057
65964
71371
72184
69400
65605
64727
64506
62751
59938
57870
55263
55777
73944
78201
78715
75009
69705
69979
69755
68155
64211
61110
58373
58288
74822
79606
80232
75631
70996
69144
67141
65413
63391
60964
58412
57539
73377
77413
78932
74789
70076
67944
64076
63136
60198
59057
57388
56708
70019
72263
74152
67057
61941
58331
Dataseries Y:
88900
87280
85519
83647
81616
80100
94027
102327
104296
101593
94816
93535
93618
92330
90751
88576
86102
85494
103432
108870
109713
106960
103195
102348
102158
100431
97649
95611
93035
93579
111777
116065
116609
112934
107660
107965
107772
106201
102288
99217
96511
96456
113021
117836
118492
113922
109317
107496
105524
103824
101833
99436
96915
96072
111941
116008
117557
113445
108762
106661
102824
101912
99005
97894
96256
95606
108948
111223
113142
106078
100992
97413




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4312&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4312&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4312&T=0

As an alternative you can also use a 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 time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Bandwidth
x axis4723.19693324557
y axis4881.00883651198
Correlation
correlation used in KDE0.998196144915574
correlation(x,y)0.998196144915574

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 4723.19693324557 \tabularnewline
y axis & 4881.00883651198 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.998196144915574 \tabularnewline
correlation(x,y) & 0.998196144915574 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4312&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]4723.19693324557[/C][/ROW]
[ROW][C]y axis[/C][C]4881.00883651198[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.998196144915574[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.998196144915574[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4312&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4312&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Bandwidth
x axis4723.19693324557
y axis4881.00883651198
Correlation
correlation used in KDE0.998196144915574
correlation(x,y)0.998196144915574



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')