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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, 26 Nov 2010 08:39:31 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/26/t1290760644grjk2dxkaut7y3v.htm/, Retrieved Fri, 03 May 2024 19:26:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=101702, Retrieved Fri, 03 May 2024 19:26:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact147

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Testing Mean with unknown Variance - Critical Value] [] [2010-10-25 13:12:27] [b98453cac15ba1066b407e146608df68]
- RMPD    [Bivariate Kernel Density Estimation] [] [2010-11-26 08:39:31] [33c49f0356cf94839cc9a2df1ea19a67] [Current]
-    D      [Bivariate Kernel Density Estimation] [] [2010-11-26 12:03:45] [eab273d59b25a7fddba6574425ce83eb]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
825
101
851
1.645
12.952
8.816
3
96
4.942
2.525
311
753
1.433
848
401
145
260
3.213
315
443
914
1.114
268
145
1.909
4.376
3
495
293
1.801
189
799
2.610
10
801
123
662
573
2.086
61
2.199
427
106
254
295
244
79
42
123
1.022
106
192
810
324
75
80
761
1.555
308
55
522
72
399
1.100
31
184
46
376
129
1.260
668
172
Dataseries Y:
Download CSV
Histogram 
1.055
87
892
9.365
11.415
1.219
33
2
13.060
8.642
672
957
1.592
812
882
123
739
1.995
935
636
1.410
619
400
155
1.299
526
2
544
41
2.071
53
3.539
3.605
408
2.177
197
499
1.695
616
26
987
250
195
381
361
383
215
30
446
683
342
251
1.449
255
97
41
552
250
374
14
676
33
2.073
1.491
222
475
87
374
493
324
319
99

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101702&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101702&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101702&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Bandwidth
x axis64.8597407376065
y axis70.5192631169935
Correlation
correlation used in KDE0.259602235839041
correlation(x,y)0.259602235839041

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 64.8597407376065 \tabularnewline
y axis & 70.5192631169935 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.259602235839041 \tabularnewline
correlation(x,y) & 0.259602235839041 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=101702&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]64.8597407376065[/C][/ROW]
[ROW][C]y axis[/C][C]70.5192631169935[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.259602235839041[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.259602235839041[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=101702&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=101702&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 axis64.8597407376065
y axis70.5192631169935
Correlation
correlation used in KDE0.259602235839041
correlation(x,y)0.259602235839041


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')