FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 30 Oct 2009 09:14:38 -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/30/t1256915905adxk6jboc0dotbm.htm/, Retrieved Sun, 28 Apr 2024 22:03:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=52137, Retrieved Sun, 28 Apr 2024 22:03:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact197

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] [Workshop 5] [2009-10-28 17:49:47] [03557919bc1ce1475f4920f6a43c36b0]
-    D    [Bivariate Explorative Data Analysis] [SHW_W5.4] [2009-10-30 15:14:38] [ad87854c04c4a917385375bf83f61258] [Current]
- RMPD      [Kendall tau Rank Correlation] [Kendall tau Rank ...] [2009-11-08 23:21:57] [8733f8ed033058987ec00f5e71b74854]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-4509.6
-4514.6
-4504.6
-4534.6
-4266.6
-4477.6
-4529.6
-4349.6
-4432.6
-4476.6
-4420.6
-4505.6
-4521.6
-4507.6
-4521.6
-4480.6
-4533.6
-4509.5
-4506.5
-4497.5
-4404.5
-4496.5
-4444.5
-4440.5
-4412.5
-4527.4
-4513.4
-4450.4
-4501.4
-4483.4
-4449.4
-4520.4
-4504.4
-4486.4
-4428.3
-4463.3
-4499.3
-4470.3
-4416.3
-4510.3
-4473.4
-4510.3
-4450.3
-4489.3
-4438.3
-4457.3
-4468.3
-4352.3
-4501.3
-4503.4
-4491.5
-4530.6
-4410.6
-4506.6
-4483.7
-4444.7
-4422.7
-4505.7
-4475.7
-4370.7
Dataseries Y:
Download CSV
Histogram 
-657.60
-820.59
-441.59
54.41
-583.60
-271.60
-436.60
-150.60
639.40
349.40
1175.40
1012.40
-416.59
382.42
628.44
177.44
-88.55
1152.46
1151.48
460.48
1522.49
324.51
789.51
998.53
39.54
151.56
431.57
719.58
-433.41
45.59
156.60
-360.39
536.62
-374.37
-458.35
523.68
-279.32
-1.32
-770.31
946.67
-332.35
-749.35
-185.32
246.69
-170.31
-10.29
-473.30
214.70
-665.26
-786.45
-17453
-557.57
-479.61
208.35
-141.68
-994.71
-676.72
-401.72
-716.72
-392.72

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52137&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52137&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52137&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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Model: Y[t] = c + b X[t] + e[t]
c8387.93757143128
b1.93793605495531

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 8387.93757143128 \tabularnewline
b & 1.93793605495531 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52137&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]8387.93757143128[/C][/ROW]
[ROW][C]b[/C][C]1.93793605495531[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52137&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52137&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]
c8387.93757143128
b1.93793605495531






Descriptive Statistics about e[t]
# observations60
minimum-17136.6977805995
Q1-174.610334906663
median181.125794615452
mean-5.67971595681153e-15
Q3743.775348076664
maximum1670.1917826194

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -17136.6977805995 \tabularnewline
Q1 & -174.610334906663 \tabularnewline
median & 181.125794615452 \tabularnewline
mean & -5.67971595681153e-15 \tabularnewline
Q3 & 743.775348076664 \tabularnewline
maximum & 1670.1917826194 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=52137&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]-17136.6977805995[/C][/ROW]
[ROW][C]Q1[/C][C]-174.610334906663[/C][/ROW]
[ROW][C]median[/C][C]181.125794615452[/C][/ROW]
[ROW][C]mean[/C][C]-5.67971595681153e-15[/C][/ROW]
[ROW][C]Q3[/C][C]743.775348076664[/C][/ROW]
[ROW][C]maximum[/C][C]1670.1917826194[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=52137&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=52137&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-17136.6977805995
Q1-174.610334906663
median181.125794615452
mean-5.67971595681153e-15
Q3743.775348076664
maximum1670.1917826194


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')