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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 08:33:45 -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/t1257349517fis545yzc8lt7ke.htm/, Retrieved Mon, 29 Apr 2024 14:46:13 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53660, Retrieved Mon, 29 Apr 2024 14:46:13 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

132

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

-       [Bivariate Explorative Data Analysis] [workshop 5] [2009-11-04 15:33:45] [6c94b261890ba36343a04d1029691995] [Current]

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Dataseries X:

Download CSV

Histogram

Boxplots

-247.161
-240.279
-242.222
-241.184
-240.668
-238.551
-233.963
-231.016
-229.469
-253.462
-256.935
-255.785
-252.293
-244.117
-245.943
-238.149
-239.862
-236.171
-236.004
-234.811
-230.974
-249.387
-248.591
-247.956
-232.070
-223.453
-220.267
-222.001
-216.154
-209.967
-205.687
-200.527
-197.375
-220.937
-221.098
-212.099
-207.839
-202.505
-206.470
-205.751
-201.298
-197.504
-196.741
-187.545
-190.171
-210.167
-209.885
-206.863
-206.621
-207.400
-217.365
-226.833
-230.943
-235.966
-235.975
-230.944
-237.095
-256.892
-259.708
-255.377

Dataseries Y:

Download CSV

Histogram

-259.089
-255.689
-255.177
-254.560
-256.692
-255.373
-251.450
-249.569
-246.848
-259.156
-259.866
-267.901
-264.628
-261.066
-261.287
-264.992
-264.420
-262.666
-258.933
-259.887
-257.048
-269.417
-271.304
-276.039
-268.500
-261.426
-257.938
-261.371
-259.384
-251.128
-251.461
-244.720
-230.830
-245.800
-249.661
-248.722
-246.646
-239.946
-242.158
-244.873
-242.745
-233.666
-234.182
-223.996
-223.206
-237.907
-238.881
-239.996
-238.352
-239.660
-245.582
-250.816
-253.813
-257.379
-259.647
-252.776
-254.618
-268.801
-271.871
-272.846

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53660&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]3 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=53660&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53660&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	3 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Model: Y[t] = c + b X[t] + e[t]
c	-129.646926850379
b	0.544001671382661

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -129.646926850379 \tabularnewline
b & 0.544001671382661 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53660&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-129.646926850379[/C][/ROW]
[ROW][C]b[/C][C]0.544001671382661[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53660&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53660&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	-129.646926850379
b	0.544001671382661

Descriptive Statistics about e[t]
# observations	60
minimum	-12.6066052718472
Q1	-3.97651441046874
median	1.13718861414616
mean	-2.25593560036301e-16
Q3	4.03928548058318
maximum	9.8942686988907

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -12.6066052718472 \tabularnewline
Q1 & -3.97651441046874 \tabularnewline
median & 1.13718861414616 \tabularnewline
mean & -2.25593560036301e-16 \tabularnewline
Q3 & 4.03928548058318 \tabularnewline
maximum & 9.8942686988907 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53660&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]-12.6066052718472[/C][/ROW]
[ROW][C]Q1[/C][C]-3.97651441046874[/C][/ROW]
[ROW][C]median[/C][C]1.13718861414616[/C][/ROW]
[ROW][C]mean[/C][C]-2.25593560036301e-16[/C][/ROW]
[ROW][C]Q3[/C][C]4.03928548058318[/C][/ROW]
[ROW][C]maximum[/C][C]9.8942686988907[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53660&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53660&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	-12.6066052718472
Q1	-3.97651441046874
median	1.13718861414616
mean	-2.25593560036301e-16
Q3	4.03928548058318
maximum	9.8942686988907

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