Free Statistics

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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationMon, 27 Oct 2008 13:09:31 -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/2008/Oct/27/t1225134660cuipfok10s1oh7b.htm/, Retrieved Sun, 19 May 2024 16:37:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19429, Retrieved Sun, 19 May 2024 16:37:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Investigation Dis...] [2007-10-21 17:06:37] [b9964c45117f7aac638ab9056d451faa]
-   PD  [Univariate Explorative Data Analysis] [Q2 Assumptions] [2008-10-26 14:39:48] [cf9c64468d04c2c4dd548cc66b4e3677]
F   PD    [Univariate Explorative Data Analysis] [Q2 Assumptions] [2008-10-27 09:47:47] [cf9c64468d04c2c4dd548cc66b4e3677]
F    D        [Univariate Explorative Data Analysis] [Task 2] [2008-10-27 19:09:31] [e4cb5a8878d0401c2e8d19a1768b515b] [Current]
-    D          [Univariate Explorative Data Analysis] [Task 2 Model 2] [2008-10-27 19:12:54] [cf9c64468d04c2c4dd548cc66b4e3677]
-   PD          [Univariate Explorative Data Analysis] [verbetering distr...] [2008-11-03 08:35:35] [077ffec662d24c06be4c491541a44245]
Feedback Forum
2008-11-03 08:44:56 [Glenn De Maeyer] [reply
Bij de eerste assumptie (randomness) merken we op basis van de lag plot dat er geen correlatie is, maar als we dan kijken naar de autocorrelation function en hier de lag instellen op 36 (zie link: http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/03/t1225701384qfiftg12c3rkl8e.htm) dan merken we op dat ook hier grote positieve correlaties aanwezig zijn op lag 12, 24 en 36. We kunnen dus veronderstellen dat er ook hier sprake is van seizoensgebonden correlatie.

Bij de assumptie (fixed distribution) concludeert de student: '
Het histogram is left-skewed, maar vertoont zeker geen U-vorm. De assumptie klopt dus.'
Ik ben niet akkoord met deze stelling. Er is hier geen sprake van een normaalverdeling.

Post a new message
Dataseries X:
0,90
1,04
0,98
0,94
1,23
1,05
0,99
0,91
0,98
1,10
1,04
1,05
0,94
0,97
0,98
0,96
1,16
1,09
0,94
0,89
0,99
1,09
0,99
0,99
0,92
0,94
0,99
0,93
1,11
1,08
0,88
0,87
0,98
1,00
1,02
1,00
0,86
0,95
1,00
0,87
1,11
1,01
0,85
0,88
0,94
0,96
1,04
1,01
0,92
0,94
0,99
0,85
1,20
1,01
0,86
0,91
0,89
0,95
0,98
0,96
0,84




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 5 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19429&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19429&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19429&T=0

As an alternative you can also use a 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 time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Descriptive Statistics
# observations61
minimum0.84
Q10.92
median0.98
mean0.978688524590164
Q31.01
maximum1.23

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & 0.84 \tabularnewline
Q1 & 0.92 \tabularnewline
median & 0.98 \tabularnewline
mean & 0.978688524590164 \tabularnewline
Q3 & 1.01 \tabularnewline
maximum & 1.23 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19429&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]0.84[/C][/ROW]
[ROW][C]Q1[/C][C]0.92[/C][/ROW]
[ROW][C]median[/C][C]0.98[/C][/ROW]
[ROW][C]mean[/C][C]0.978688524590164[/C][/ROW]
[ROW][C]Q3[/C][C]1.01[/C][/ROW]
[ROW][C]maximum[/C][C]1.23[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19429&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19429&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics
# observations61
minimum0.84
Q10.92
median0.98
mean0.978688524590164
Q31.01
maximum1.23



Parameters (Session):
par1 = 0 ; par2 = 12 ;
Parameters (R input):
par1 = 0 ; par2 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
x <- as.ts(x)
library(lattice)
bitmap(file='pic1.png')
plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic2.png')
hist(x)
grid()
dev.off()
bitmap(file='pic3.png')
if (par1 > 0)
{
densityplot(~x,col='black',main=paste('Density Plot bw = ',par1),bw=par1)
} else {
densityplot(~x,col='black',main='Density Plot')
}
dev.off()
bitmap(file='pic4.png')
qqnorm(x)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Lag plot, lowess, and regression line'))
lines(lowess(z))
abline(lm(z))
dev.off()
bitmap(file='pic5.png')
acf(x,lag.max=par2,main='Autocorrelation Function')
grid()
dev.off()
}
summary(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'minimum',header=TRUE)
a<-table.element(a,min(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,quantile(x,0.25))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(x))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,quantile(x,0.75))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum',header=TRUE)
a<-table.element(a,max(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')