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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 computationFri, 18 Dec 2009 07:51:48 -0700
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/Dec/18/t1261147985okwgkqcm0td6ni1.htm/, Retrieved Sat, 27 Apr 2024 20:25:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69385, Retrieved Sat, 27 Apr 2024 20:25:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165

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]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD      [Partial Correlation] [Partial Correlation] [2009-12-16 14:03:17] [4d62210f0915d3a20cbf115865da7cd4]
-    D        [Partial Correlation] [Partial Correlation] [2009-12-16 14:13:22] [4d62210f0915d3a20cbf115865da7cd4]
- RMPD          [Bivariate Explorative Data Analysis] [Bivariate EDA] [2009-12-18 14:26:54] [4d62210f0915d3a20cbf115865da7cd4]
-    D              [Bivariate Explorative Data Analysis] [Autocorrelatie na...] [2009-12-18 14:51:48] [91df150cd527c563f0151b3a845ecd72] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-541,92
-525,95
-508,18
-487,35
-460,37
-460,77
-669,77
-731,59
-722,54
-678,58
-632,18
-622,86
-616,41
-595,08
-567,00
-546,17
-514,43
-530,00
-744,66
-790,91
-780,96
-726,99
-675,13
-669,87
-664,81
-648,05
-607,95
-577,31
-546,17
-554,39
-754,57
-804,78
-795,53
-731,15
-678,08
-657,36
-631,28
-614,61
-585,32
-559,84
-533,66
-537,62
-732,75
-776,80
-772,70
-720,64
-665,67
-639,99
-602,99
-591,98
-556,54
-544,37
-526,10
-531,06
-704,67
-738,21
-729,55
-648,80
-589,78
-554,99
Dataseries Y:
Download CSV
Histogram 
-540,33
-523,22
-503,80
-480,13
-452,36
-453,28
-661,26
-718,93
-712,26
-670,19
-623,90
-611,27
-602,79
-577,93
-552,90
-536,12
-504,48
-518,66
-732,24
-774,67
-772,03
-717,16
-662,92
-656,24
-649,06
-632,14
-592,99
-560,51
-525,84
-537,76
-733,93
-778,58
-772,77
-702,91
-652,63
-635,84
-607,10
-589,02
-556,86
-530,38
-506,83
-506,39
-695,70
-733,00
-732,26
-681,35
-631,57
-604,75
-562,64
-554,09
-522,00
-499,05
-481,10
-486,21
-654,56
-687,20
-689,68
-615,44
-557,36
-517,26

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69385&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69385&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69385&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Model: Y[t] = c + b X[t] + e[t]
c5.04584208629199
b0.971744478468528

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 5.04584208629199 \tabularnewline
b & 0.971744478468528 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69385&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]5.04584208629199[/C][/ROW]
[ROW][C]b[/C][C]0.971744478468528[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69385&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69385&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]
c5.04584208629199
b0.971744478468528






Descriptive Statistics about e[t]
# observations60
minimum-18.7680743146255
Q1-10.6951231136070
median-4.31922894487507
mean1.3138506486469e-15
Q311.0700494488494
maximum25.1533395561261

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -18.7680743146255 \tabularnewline
Q1 & -10.6951231136070 \tabularnewline
median & -4.31922894487507 \tabularnewline
mean & 1.3138506486469e-15 \tabularnewline
Q3 & 11.0700494488494 \tabularnewline
maximum & 25.1533395561261 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69385&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]-18.7680743146255[/C][/ROW]
[ROW][C]Q1[/C][C]-10.6951231136070[/C][/ROW]
[ROW][C]median[/C][C]-4.31922894487507[/C][/ROW]
[ROW][C]mean[/C][C]1.3138506486469e-15[/C][/ROW]
[ROW][C]Q3[/C][C]11.0700494488494[/C][/ROW]
[ROW][C]maximum[/C][C]25.1533395561261[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69385&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69385&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-18.7680743146255
Q1-10.6951231136070
median-4.31922894487507
mean1.3138506486469e-15
Q311.0700494488494
maximum25.1533395561261


Figures (Output of Computation)

Input Parameters & R Code

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')