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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_edabi.wasp
Title produced by softwareBivariate Explorative Data Analysis
Date of computationWed, 28 Oct 2009 12:40:34 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/28/t1256755297byitu4kc5hnjvbv.htm/, Retrieved Mon, 06 May 2024 03:15:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51719, Retrieved Mon, 06 May 2024 03:15:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsEDA Bivariate tot de macht
Estimated Impact89

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD  [Bivariate Explorative Data Analysis] [WS 4 - Part2: Biv...] [2009-10-28 17:55:28] [b00a5c3d5f6ccb867aa9e2de58adfa61]
- RMP     [Kendall tau Rank Correlation] [WS 4 - Part2: Ken...] [2009-10-28 18:16:14] [b00a5c3d5f6ccb867aa9e2de58adfa61]
- RMPD      [Bivariate Explorative Data Analysis] [WS 4 - Part2: Log...] [2009-10-28 18:25:11] [b00a5c3d5f6ccb867aa9e2de58adfa61]
- RMP         [Pearson Correlation] [WS 4 - Part2: Log...] [2009-10-28 18:29:07] [b00a5c3d5f6ccb867aa9e2de58adfa61]
- RMPD            [Bivariate Explorative Data Analysis] [WS 4 - Part2: Biv...] [2009-10-28 18:40:34] [63d6214c2814604a6f6cfa44dba5912e] [Current]
- RMP               [Pearson Correlation] [WS 4 - Part2: Pea...] [2009-10-28 18:55:17] [b00a5c3d5f6ccb867aa9e2de58adfa61]
- RMP               [Kendall tau Rank Correlation] [WS 4 - Part2: Ken...] [2009-10-28 18:58:53] [b00a5c3d5f6ccb867aa9e2de58adfa61]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
65.61
59.29
56.25
57.76
60.84
60.84
60.84
56.25
56.25
50.41
56.25
56.25
57.76
59.29
59.29
62.41
65.61
67.24
67.24
67.24
62.41
53.29
47.61
43.56
44.89
47.61
49.0
50.41
51.84
50.41
47.61
49.0
46.24
40.96
44.89
43.56
40.96
39.69
38.44
42.25
46.24
46.24
40.96
37.21
33.64
37.21
51.84
53.29
47.61
37.21
33.64
38.44
50.41
59.29
62.41
59.29
54.76
56.25
64.0
65.61
Dataseries Y:
Download CSV
Histogram 
118.81
100.0
84.64
84.64
90.25
92.16
90.25
82.81
79.21
81.0
102.01
106.09
104.04
92.16
84.64
86.49
88.36
88.36
84.64
81.0
81.0
81.0
96.04
100.0
96.04
86.49
81.0
81.0
82.81
82.81
82.81
84.64
77.44
68.89
70.56
65.61
59.29
62.41
62.41
64.0
62.41
57.76
50.41
46.24
42.25
47.61
67.24
75.69
68.89
62.41
56.25
60.84
68.89
70.56
67.24
59.29
51.84
53.29
65.61
72.25

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 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 & 8 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51719&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]8 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=51719&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51719&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 time8 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Model: Y[t] = c + b X[t] + e[t]
c25.9848217221162
b0.975134334481073

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 25.9848217221162 \tabularnewline
b & 0.975134334481073 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51719&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]25.9848217221162[/C][/ROW]
[ROW][C]b[/C][C]0.975134334481073[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51719&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51719&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:

Model: Y[t] = c + b X[t] + e[t]
c25.9848217221162
b0.975134334481073






Descriptive Statistics about e[t]
# observations60
minimum-27.5461280366765
Q1-7.3508991165979
median-0.705970538324303
mean-9.79598346884103e-16
Q36.48572633062307
maximum31.5383266678883

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -27.5461280366765 \tabularnewline
Q1 & -7.3508991165979 \tabularnewline
median & -0.705970538324303 \tabularnewline
mean & -9.79598346884103e-16 \tabularnewline
Q3 & 6.48572633062307 \tabularnewline
maximum & 31.5383266678883 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51719&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]-27.5461280366765[/C][/ROW]
[ROW][C]Q1[/C][C]-7.3508991165979[/C][/ROW]
[ROW][C]median[/C][C]-0.705970538324303[/C][/ROW]
[ROW][C]mean[/C][C]-9.79598346884103e-16[/C][/ROW]
[ROW][C]Q3[/C][C]6.48572633062307[/C][/ROW]
[ROW][C]maximum[/C][C]31.5383266678883[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51719&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51719&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Descriptive Statistics about e[t]
# observations60
minimum-27.5461280366765
Q1-7.3508991165979
median-0.705970538324303
mean-9.79598346884103e-16
Q36.48572633062307
maximum31.5383266678883


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = colombia ; par2 = www.ico.org ; par3 = Prices paid to growers in exporting Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ; par4 = usa ; par5 = www.ico.org ; par6 = Retail prices in importing Member countries in US cents per lb (Arabica, 1977/1 - 2006/12) ;
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')