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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 computationMon, 09 Nov 2009 03:41:13 -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/Nov/09/t1257763376dcgjb42mhhi718c.htm/, Retrieved Thu, 18 Apr 2024 21:33:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54717, Retrieved Thu, 18 Apr 2024 21:33:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact190

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Explorative Data Analysis] [3/11/2009] [2009-11-02 22:01:32] [b98453cac15ba1066b407e146608df68]
-   PD    [Bivariate Explorative Data Analysis] [Bivariate EDA icv...] [2009-11-09 10:41:13] [4f297b039e1043ebee7ff7a83b1eaaaa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
83.33
83.33
78.33
77.50
76.67
74.17
72.50
72.50
75.83
71.67
74.17
78.33
85.00
83.33
81.67
83.33
85.00
86.67
90.00
90.00
87.50
89.17
85.83
91.67
90.83
90.83
91.67
93.33
94.17
94.17
91.67
93.33
91.67
85.83
93.33
94.17
90.83
90.83
90.83
90.83
87.50
89.17
88.33
90.83
91.67
88.33
85.00
85.83
80.83
84.17
83.33
83.33
83.33
88.33
90.83
90.00
87.50
87.50
86.67
87.50
90.83
90.83
89.17
92.50
87.50
89.17
90.00
91.67
90.00
87.50
87.50
80.00
88.33
83.33
81.67
84.17
85.00
83.33
77.50
81.67
85.00
85.83
89.17
90.00
90.00
90.00
91.67
92.50
93.33
92.50
94.17
93.33
91.67
85.83
77.50
80.83
89.17
92.50
95.83
95.83
95.00
95.00
98.33
99.17
103.33
105.00
104.17
104.17
100.83
105.83
103.33
105.00
103.33
102.50
103.33
101.67
100.00
Dataseries Y:
Download CSV
Histogram 
241.66
251.25
230.26
240.91
211.20
188.19
177.01
167.85
174.03
170.09
203.42
254.97
342.84
386.29
440.51
433.58
408.13
370.32
355.51
332.62
314.62
301.73
306.31
282.98
266.48
249.97
259.87
246.24
238.36
238.04
224.19
214.71
203.11
221.00
211.73
209.39
217.48
242.19
244.64
232.07
235.80
230.37
209.82
206.41
209.60
192.24
186.17
193.41
202.36
203.00
190.64
185.43
171.58
179.57
180.42
162.10
157.95
146.66
154.43
163.38
150.92
151.98
144.74
140.37
143.36
135.79
134.73
126.42
124.72
117.90
114.07
112.26
105.44
110.77
107.68
105.76
102.03
100.22
111.62
118.11
111.72
103.42
97.13
103.10
104.91
100.22
98.52
95.32
96.92
96.60
92.55
82.75
80.84
79.13
79.77
85.10
96.39
97.56
96.39
101.18
103.52
100.11
99.26
104.48
101.29
100.33
115.24
113.64
115.35
108.42
105.65
108.64
104.80
95.43
104.48
103.84
100.01

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time16 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 & 16 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54717&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]16 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=54717&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54717&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 time16 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Model: Y[t] = c + b X[t] + e[t]
c465.729857202717
b-3.26937940974566

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 465.729857202717 \tabularnewline
b & -3.26937940974566 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54717&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]465.729857202717[/C][/ROW]
[ROW][C]b[/C][C]-3.26937940974566[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54717&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54717&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]
c465.729857202717
b-3.26937940974566






Descriptive Statistics about e[t]
# observations117
minimum-132.582952947429
Q1-61.3234349062458
median-21.7091588499721
mean-1.26631848407032e-15
Q348.3675290113883
maximum241.790359191211

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 117 \tabularnewline
minimum & -132.582952947429 \tabularnewline
Q1 & -61.3234349062458 \tabularnewline
median & -21.7091588499721 \tabularnewline
mean & -1.26631848407032e-15 \tabularnewline
Q3 & 48.3675290113883 \tabularnewline
maximum & 241.790359191211 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54717&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]117[/C][/ROW]
[ROW][C]minimum[/C][C]-132.582952947429[/C][/ROW]
[ROW][C]Q1[/C][C]-61.3234349062458[/C][/ROW]
[ROW][C]median[/C][C]-21.7091588499721[/C][/ROW]
[ROW][C]mean[/C][C]-1.26631848407032e-15[/C][/ROW]
[ROW][C]Q3[/C][C]48.3675290113883[/C][/ROW]
[ROW][C]maximum[/C][C]241.790359191211[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54717&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54717&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]
# observations117
minimum-132.582952947429
Q1-61.3234349062458
median-21.7091588499721
mean-1.26631848407032e-15
Q348.3675290113883
maximum241.790359191211


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 3 ; par2 = TRUE ; par3 = TRUE ;
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')