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_edauni.wasp
Title produced by softwareUnivariate Explorative Data Analysis
Date of computationMon, 27 Oct 2008 12:03:39 -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/t1225130659eourv9hd8jcps53.htm/, Retrieved Fri, 17 May 2024 03:03:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19351, Retrieved Fri, 17 May 2024 03:03:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Investigating dis...] [2007-10-22 19:45:25] [b9964c45117f7aac638ab9056d451faa]
F    D    [Univariate Explorative Data Analysis] [] [2008-10-27 18:03:39] [1fa440a634ec541bd583650ead0404df] [Current]
-   PD      [Univariate Explorative Data Analysis] [Verbetering Q10] [2008-10-31 01:27:49] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
-   PD      [Univariate Explorative Data Analysis] [Verbetering: aant...] [2008-11-01 15:03:12] [b85eb1eb4b13b870c6e7ebbba3e34fcc]
-   PD      [Univariate Explorative Data Analysis] [Verbetering: aant...] [2008-11-01 15:04:50] [b85eb1eb4b13b870c6e7ebbba3e34fcc]
Feedback Forum
2008-10-31 01:24:50 [Kenny Simons] [reply] 
Je hebt wel de juiste software gebruikt, maar je hebt geen antwoorden geformuleerd op de 4 assumpties. Dit moest je doen zoals in Q2 van deze taak.
2008-10-31 01:32:13 [Kenny Simons] [reply] 
Bij vraag 10 zeg je dat er geen terugkerend patroon te zien is in het run sequence plot, naar mijn mening is er wel 1, maar is deze hier moeilijk af te leiden. Als je je lags op 36 zet en dan ziet naar de grafiek van de autocorrelation function zal je zien dat je een grote correlatie hebt bij lag 12 en dat deze terugkeert bij lag 24, dit wil zeggen dat er wel degelijk seizoenaliteit is in deze tijdreeks.
http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/31/t12254165387mcaxehnckyz684.htm
2008-11-01 15:01:04 [Ellen Smolders] [reply] 
De student heeft de juiste berekening gemaakt maar er werd geen antwoord geformuleerd.
2008-11-01 15:06:54 [Ellen Smolders] [reply] 
Ik ga akkoord met het antwoord van de vorige student. Je kan seizoenaliteit het beste ontdekken wanneer je je aantal lags een paar keer veranderd:
- aantal lags= 12
http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/01/t1225551839astta6bjkdl4i8t.htm
- aantal lags= 36
http://www.freestatistics.org/blog/index.php?v=date/2008/Nov/01/t1225551920ziuyfhu45o7pymh.htm

Uit de laatste berekening kunnen we inderdaad afleiden dat de grafiek op het aantal lags 12,24 en 36 een grote piek vertoont. Dit wijst op seizoenaliteit.


Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104,5
87,4
89,9
109,8
111,7
98,6
96,9
95,1
97
112,7
102,9
97,4
111,4
87,4
96,8
114,1
110,3
103,9
101,6
94,6
95,9
104,7
102,8
98,1
113,9
80,9
95,7
113,2
105,9
108,8
102,3
99
100,7
115,5
100,7
109,9
114,6
85,4
100,5
114,8
116,5
112,9
102
106
105,3
118,8
106,1
109,3
117,2
92,5
104,2
112,5
122,4
113,3
100
110,7
112,8
109,8
117,3
109,1
115,9

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19351&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19351&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19351&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'George Udny Yule' @ 72.249.76.132






Descriptive Statistics
# observations61
minimum80.9
Q198.6
median105.3
mean104.949180327869
Q3112.7
maximum122.4

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 61 \tabularnewline
minimum & 80.9 \tabularnewline
Q1 & 98.6 \tabularnewline
median & 105.3 \tabularnewline
mean & 104.949180327869 \tabularnewline
Q3 & 112.7 \tabularnewline
maximum & 122.4 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19351&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]61[/C][/ROW]
[ROW][C]minimum[/C][C]80.9[/C][/ROW]
[ROW][C]Q1[/C][C]98.6[/C][/ROW]
[ROW][C]median[/C][C]105.3[/C][/ROW]
[ROW][C]mean[/C][C]104.949180327869[/C][/ROW]
[ROW][C]Q3[/C][C]112.7[/C][/ROW]
[ROW][C]maximum[/C][C]122.4[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19351&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19351&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:

Descriptive Statistics
# observations61
minimum80.9
Q198.6
median105.3
mean104.949180327869
Q3112.7
maximum122.4


Figures (Output of Computation)

Input Parameters & R Code

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