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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edabi.wasp

Title produced by software

Bivariate Explorative Data Analysis

Date of computation

Wed, 04 Nov 2009 03:46:42 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/04/t1257331679hkn5g13vnk5zah7.htm/, Retrieved Mon, 29 Apr 2024 13:59:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53527, Retrieved Mon, 29 Apr 2024 13:59:56 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

ws5bivariateet

Estimated Impact

130

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Bivariate Explorative Data Analysis] [] [2009-11-04 10:46:42] [2b548c9d2e9bba6e1eaf65bd4d551f41] [Current]

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Dataseries X:

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Histogram

Boxplots

-276,5630764
-309,7172083
-301,5787285
-289,7876045
-285,8064194
-272,3723775
-274,5486996
-290,811495
-287,5922551
-278,7393985
-308,4362357
-245,5757528
-273,567727
-306,8028315
-293,6973308
-299,1214338
-286,2398235
-279,9537753
-283,1920426
-311,9840167
-283,3920426
-300,7167832
-309,9696399
-254,4476369
-283,3110699
-310,9506125
-314,3888798
-307,2313726
-286,3683646
-294,3878171
-292,9544129
-318,670065
-294,4783034
-301,0738654
-316,122284
-269,072165
-291,4590635
-307,0694273
-325,1275722
-307,0933178
-281,5586384
-301,5406737
-305,4408863
-298,9262969
-313,5127703
-296,8928927
-309,1459619
-271,1391859
-278,8776657
-311,1603387
-309,7649893
-280,3157205
-271,1009186
-265,4148703
-269,8055692
-289,963714
-272,719946
-269,2387608
-290,8017688
-253,2140201

Dataseries Y:

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Histogram

0,641206195
1,152989044
0,662539632
0,31020378
0,355458084
0,388840746
0,419783966
0,629245762
0,284021056
0,172149415
0,148228548
-0,237253186
0,11502347
0,631566814
0,557808734
0,626835917
0,672119817
0,793571644
0,934035854
1,286312511
0,934035854
0,853018641
0,364890282
-0,730142041
-0,670724641
-0,230349223
0,010114988
0,024426071
-0,135020926
0,060188981
-0,056472752
0,064860685
-0,137430771
-0,261262845
-0,473223278
-0,761144455
-0,582655477
-0,585094919
-0,449450399
-0,766052938
-0,782625879
-0,227939378
-0,177954176
-0,649361607
-0,770843031
-1,26602334
-0,804166498
-0,177835787
0,012613625
0,017255731
-0,808926994
-1,496907365
-1,218299997
-0,396848171
0,255517278
0,691161799
0,276939507
-0,077806189
0,281640808
0,303211024

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53527&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]4 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=53527&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53527&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 computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Model: Y[t] = c + b X[t] + e[t]
c	-0.222169528829208
b	-0.000763254598063756

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -0.222169528829208 \tabularnewline
b & -0.000763254598063756 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53527&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-0.222169528829208[/C][/ROW]
[ROW][C]b[/C][C]-0.000763254598063756[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53527&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53527&T=1

As an alternative you can also use a QR Code:

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

Model: Y[t] = c + b X[t] + e[t]
c	-0.222169528829208
b	-0.000763254598063756

Descriptive Statistics about e[t]
# observations	60
minimum	-1.48869009875197
Q1	-0.479660872453363
median	0.0170141676046078
mean	-1.10010380434863e-17
Q3	0.410441338354353
maximum	1.27035880456053

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -1.48869009875197 \tabularnewline
Q1 & -0.479660872453363 \tabularnewline
median & 0.0170141676046078 \tabularnewline
mean & -1.10010380434863e-17 \tabularnewline
Q3 & 0.410441338354353 \tabularnewline
maximum & 1.27035880456053 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53527&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-1.48869009875197[/C][/ROW]
[ROW][C]Q1[/C][C]-0.479660872453363[/C][/ROW]
[ROW][C]median[/C][C]0.0170141676046078[/C][/ROW]
[ROW][C]mean[/C][C]-1.10010380434863e-17[/C][/ROW]
[ROW][C]Q3[/C][C]0.410441338354353[/C][/ROW]
[ROW][C]maximum[/C][C]1.27035880456053[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53527&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53527&T=2

As an alternative you can also use a QR Code:

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

Descriptive Statistics about e[t]
# observations	60
minimum	-1.48869009875197
Q1	-0.479660872453363
median	0.0170141676046078
mean	-1.10010380434863e-17
Q3	0.410441338354353
maximum	1.27035880456053

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

Figure 8

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 0 ; par2 = 36 ;

Parameters (R input):

par1 = 0 ; par2 = 36 ;

R code (references can be found in the software module):

par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
x <- as.ts(x)
y <- as.ts(y)
mylm <- lm(y~x)
cbind(mylm$resid)
library(lattice)
bitmap(file='pic1.png')
plot(y,type='l',main='Run Sequence Plot of Y[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic1a.png')
plot(x,type='l',main='Run Sequence Plot of X[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic1b.png')
plot(x,y,main='Scatter Plot',xlab='X[t]',ylab='Y[t]')
grid()
dev.off()
bitmap(file='pic1c.png')
plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic2.png')
hist(mylm$resid,main='Histogram of e[t]')
dev.off()
bitmap(file='pic3.png')
if (par1 > 0)
{
densityplot(~mylm$resid,col='black',main=paste('Density Plot of e[t]   bw = ',par1),bw=par1)
} else {
densityplot(~mylm$resid,col='black',main='Density Plot of e[t]')
}
dev.off()
bitmap(file='pic4.png')
qqnorm(mylm$resid,main='QQ plot of e[t]')
qqline(mylm$resid)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='pic5.png')
acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')
grid()
dev.off()
}
summary(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'c',1,TRUE)
a<-table.element(a,mylm$coeff[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'b',1,TRUE)
a<-table.element(a,mylm$coeff[[2]])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations',header=TRUE)
a<-table.element(a,length(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'minimum',header=TRUE)
a<-table.element(a,min(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,quantile(mylm$resid,0.25))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,quantile(mylm$resid,0.75))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum',header=TRUE)
a<-table.element(a,max(mylm$resid))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code