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 computationTue, 27 Oct 2009 14:43:20 -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/27/t1256676290hy2r3inqq0iu588.htm/, Retrieved Tue, 07 May 2024 10:30:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=51230, Retrieved Tue, 07 May 2024 10:30:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsshwws4vr2opl3
Estimated Impact136

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] [] [2009-10-27 20:43:20] [4407d6264e55b051ec65750e6dca2820] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
200,1
172
136,1
182,6
208,7
142,3
188,8
143,9
149,7
196,9
231,5
219,2
220,7
244,2
182,5
229,8
238,1
206,5
249,3
181,8
218
246,4
214,3
242,3
220,7
204,5
180,7
233
236,5
239,4
208,7
209
247,2
284,3
245,8
249,1
251,4
251,2
207,2
228,3
254,3
217,9
244,4
233,2
212,6
239,5
335,5
248,8
264,6
275,4
180,7
256,1
247,4
227,8
248,1
153,7
225,5
274,4
400,3
301,8
345,2
Dataseries Y:
Download CSV
Histogram 
6,000424288
5,831882477
5,969218938
5,982928216
6,073274922
6,036198878
5,932775551
6,05161847
6,232644461
6,117436187
6,076724391
6,008321664
6,059823885
6,036437913
6,357322201
6,187853361
6,047372179
6,197054939
6,191953408
6,258816353
6,03667689
6,155494834
6,051147549
6,20617262
6,193384462
6,132747072
6,242806753
6,220987705
6,330789853
6,435509137
6,220788957
6,514119923
6,196444128
6,265871392
6,217802989
6,27117745
6,295081483
6,509067155
6,512339507
6,41395064
6,43775165
6,332924325
6,343001313
6,538718527
6,288601778
6,276831442
6,388561406
6,463185451
6,464432528
6,490419998
6,631342799
6,670512803
6,852348272
6,477895014
6,487227293
6,654281378
6,416732283
6,299133053
6,121834698
6,049497578
6,199494461

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51230&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51230&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51230&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Model: Y[t] = c + b X[t] + e[t]
c6.07635723332242
b0.00081116016614134

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 6.07635723332242 \tabularnewline
b & 0.00081116016614134 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51230&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]6.07635723332242[/C][/ROW]
[ROW][C]b[/C][C]0.00081116016614134[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51230&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51230&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]
c6.07635723332242
b0.00081116016614134






Descriptive Statistics about e[t]
# observations61
minimum-0.383994304898733
Q1-0.156875261674413
median-0.0248574029961199
mean-2.74094307417083e-18
Q30.155116386427835
maximum0.575310013574211

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 61 \tabularnewline
minimum & -0.383994304898733 \tabularnewline
Q1 & -0.156875261674413 \tabularnewline
median & -0.0248574029961199 \tabularnewline
mean & -2.74094307417083e-18 \tabularnewline
Q3 & 0.155116386427835 \tabularnewline
maximum & 0.575310013574211 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=51230&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]-0.383994304898733[/C][/ROW]
[ROW][C]Q1[/C][C]-0.156875261674413[/C][/ROW]
[ROW][C]median[/C][C]-0.0248574029961199[/C][/ROW]
[ROW][C]mean[/C][C]-2.74094307417083e-18[/C][/ROW]
[ROW][C]Q3[/C][C]0.155116386427835[/C][/ROW]
[ROW][C]maximum[/C][C]0.575310013574211[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=51230&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=51230&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]
# observations61
minimum-0.383994304898733
Q1-0.156875261674413
median-0.0248574029961199
mean-2.74094307417083e-18
Q30.155116386427835
maximum0.575310013574211


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')