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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

Fri, 30 Oct 2009 09:16:30 -0600

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/Oct/30/t1256915862ebqutwuxic95p7x.htm/, Retrieved Mon, 29 Apr 2024 03:52:40 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52136, Retrieved Mon, 29 Apr 2024 03:52:40 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

151

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

-     [Bivariate Explorative Data Analysis] [Workshop 5] [2009-10-28 17:21:02] [03557919bc1ce1475f4920f6a43c36b0]
- R  D  [Bivariate Explorative Data Analysis] [SHWW5-3] [2009-10-30 14:42:27] [ff6896cd60d3b2257a9a5027c462fa18]
-    D      [Bivariate Explorative Data Analysis] [SHWW5-5] [2009-10-30 15:16:30] [be285953263a374c1f072a85fb5ca13a] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

-114
-114
-115
-115
-114
-114
-114
-114
-114
-114
-114
-114
-114
-114
-114
-114
-115
-116
-115
-115
-116
-115
-116
-116
-116
-116
-116
-116
-116
-115
-116
-116
-117
-116
-117
-116
-115
-114
-114
-115
-114
-113
-114
-113
-112
-113
-113
-113
-114
-115
-116
-116
-116
-117
-116
-117
-118
-119
-118
-119

Dataseries Y:

Download CSV

Histogram

-7.616430991
12.00745118
4.164302325
2.554408281
11.76805524
-8.294038413
-11.20062885
2.930148889
-6.078882579
-6.398814848
3.194666802
-19.84783575
-8.851535857
10.59050062
-0.102459624
2.830184934
-1.28464649
-6.518422706
-4.895636146
13.38385737
-9.02059465
1.757173718
6.461070814
-15.90272871
-4.080427503
10.99845576
12.19450586
8.220165991
1.882978035
-1.468037105
-3.825964578
12.41084616
-5.864373047
-0.488812668
9.348860645
-5.633021093
-3.369257618
3.880786809
14.03210708
6.762723875
2.36674587
0.067625209
-0.786063994
2.631227738
9.211888963
-6.319049726
6.381793568
-3.616930591
-13.72833351
13.06189734
10.55263284
-5.070603031
7.935896036
-9.680965668
-10.09570824
4.610396848
-6.609283102
-10.61454489
1.828406973
-12.7577298

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	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52136&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52136&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52136&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Model: Y[t] = c + b X[t] + e[t]
c	95.1507502640614
b	0.826559289973749

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 95.1507502640614 \tabularnewline
b & 0.826559289973749 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52136&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]95.1507502640614[/C][/ROW]
[ROW][C]b[/C][C]0.826559289973749[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52136&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52136&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	95.1507502640614
b	0.826559289973749

Descriptive Statistics about e[t]
# observations	60
minimum	-20.770826957054
Q1	-6.0916899463434
median	-0.392068063080269
mean	1.91658032037504e-16
Q3	6.6434073714788
maximum	13.2874254529197

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -20.770826957054 \tabularnewline
Q1 & -6.0916899463434 \tabularnewline
median & -0.392068063080269 \tabularnewline
mean & 1.91658032037504e-16 \tabularnewline
Q3 & 6.6434073714788 \tabularnewline
maximum & 13.2874254529197 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52136&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]-20.770826957054[/C][/ROW]
[ROW][C]Q1[/C][C]-6.0916899463434[/C][/ROW]
[ROW][C]median[/C][C]-0.392068063080269[/C][/ROW]
[ROW][C]mean[/C][C]1.91658032037504e-16[/C][/ROW]
[ROW][C]Q3[/C][C]6.6434073714788[/C][/ROW]
[ROW][C]maximum[/C][C]13.2874254529197[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52136&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52136&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	-20.770826957054
Q1	-6.0916899463434
median	-0.392068063080269
mean	1.91658032037504e-16
Q3	6.6434073714788
maximum	13.2874254529197

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

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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