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, 06 Nov 2009 06:26:33 -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/06/t1257514089p9gkty41vw2xi45.htm/, Retrieved Sat, 27 Apr 2024 19:44:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54301, Retrieved Sat, 27 Apr 2024 19:44:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140

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] [2009-11-06 13:26:33] [aef022288383377281176d9807aba5bf] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,585202358
0,182976571
0,338460824
0,120814956
0,038781686
0,06119999
-0,145477372
-0,203187412
-0,06312324
1,328134042
1,632585617
1,008101956
0,670263571
0,339262979
0,457069277
-0,129575998
-0,020512418
-0,238318717
-0,055964585
-0,078062027
-0,082513602
0,988711593
1,017646829
0,613195254
-0,095707895
-0,437837424
-0,51557955
-0,562160654
-0,741968137
-1,093161246
-1,215258689
-1,468677585
-1,382032309
-0,08854924
-0,095226602
-0,886323453
-1,07948566
-1,114777396
-0,801262241
-0,910004959
-0,818587247
-0,782814218
-0,844975833
-0,986944931
-0,693461862
0,44008538
0,364408609
0,024504868
-0,144334109
-0,288849856
0,144536954
0,491278489
0,658052109
0,606698569
0,528956443
0,382214908
0,57982869
1,575377115
1,715441288
1,170925541
Dataseries Y:
Download CSV
Histogram 
0,665330703
0,238621255
0,365170272
0,127492318
0,078845858
0,123522036
-0,025284855
-0,091898044
0,077101364
1,51510018
1,837358053
1,264067501
0,921777542
0,51510018
0,610648605
0,017325967
0,117486398
-0,091416751
0,122098404
0,10890411
0,104452536
1,184580881
1,213516116
0,746742495
9,61045E-07
-0,342128568
-0,410967545
-0,499838608
-0,672968729
-0,970742941
-1,063905148
-1,292840384
-1,195066171
0,10509426
0,076159024
-0,701583102
-0,876939011
-0,854360275
-0,587586654
-0,689652011
-0,616040597
-0,537977609
-0,582332925
-0,661979977
-0,323981161
0,807340293
0,653760966
0,293825138
0,049309391
-0,199818362
0,146762742
0,471246402
0,655826322
0,613375931
0,56456904
0,446762742
0,700021207
1,684440696
1,860117466
1,295569632

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=54301&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=54301&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54301&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]
c0.151501926000351
b0.976045378662953

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & 0.151501926000351 \tabularnewline
b & 0.976045378662953 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54301&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]0.151501926000351[/C][/ROW]
[ROW][C]b[/C][C]0.976045378662953[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54301&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54301&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]
c0.151501926000351
b0.976045378662953






Descriptive Statistics about e[t]
# observations60
minimum-0.159765622825319
Q1-0.0610006503421591
median-0.00103729096846244
mean2.34683536461407e-18
Q30.0439978450166076
maximum0.226295065633520

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 60 \tabularnewline
minimum & -0.159765622825319 \tabularnewline
Q1 & -0.0610006503421591 \tabularnewline
median & -0.00103729096846244 \tabularnewline
mean & 2.34683536461407e-18 \tabularnewline
Q3 & 0.0439978450166076 \tabularnewline
maximum & 0.226295065633520 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54301&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]-0.159765622825319[/C][/ROW]
[ROW][C]Q1[/C][C]-0.0610006503421591[/C][/ROW]
[ROW][C]median[/C][C]-0.00103729096846244[/C][/ROW]
[ROW][C]mean[/C][C]2.34683536461407e-18[/C][/ROW]
[ROW][C]Q3[/C][C]0.0439978450166076[/C][/ROW]
[ROW][C]maximum[/C][C]0.226295065633520[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54301&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54301&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-0.159765622825319
Q1-0.0610006503421591
median-0.00103729096846244
mean2.34683536461407e-18
Q30.0439978450166076
maximum0.226295065633520


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 1 ;
Parameters (R input):
par1 = 0 ; par2 = 1 ;
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')