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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 computationThu, 23 Oct 2008 05:25:13 -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/23/t12247612835824zat4x5k09p7.htm/, Retrieved Sat, 18 May 2024 16:28:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18471, Retrieved Sat, 18 May 2024 16:28:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact210

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   PD    [Univariate Explorative Data Analysis] [Q7] [2008-10-23 11:25:13] [787873b6436f665b5b192a0bdb2e43c9] [Current]
-   P       [Univariate Explorative Data Analysis] [Q 10 Export] [2008-10-23 12:32:37] [cb714085b233acee8e8acd879ea442b6]
-    D        [Univariate Explorative Data Analysis] [Q10 import] [2008-10-23 12:38:56] [cb714085b233acee8e8acd879ea442b6]
-   PD      [Univariate Explorative Data Analysis] [Q1O inflatie] [2008-10-23 12:41:31] [cb714085b233acee8e8acd879ea442b6]
-   PD      [Univariate Explorative Data Analysis] [Q 10 wisselkoers] [2008-10-23 12:45:52] [cb714085b233acee8e8acd879ea442b6]
F           [Univariate Explorative Data Analysis] [] [2008-11-03 10:43:12] [43d870b30ac8a7afeb5de9ee11dcfc1a]
Feedback Forum
2008-10-30 12:29:19 [Tamara Witters] [reply] 
Assumpties 1,2 en 3 waren juist.
Assumption 4: does the random component have a fixed variation? (The model assumes a distribution with fixed variation)
Hiervoor moeten we zien naar de run sequence plot
We kijken naar de spreiding van de reeks over de tijd heen.
Het is duidelijk dat de grafiek een stijgend verloop kent. De spreiding echter ligt niet hoog, er zijn geen outliers aanwezig. Er is een ongeveer een vaste spreiding.
2008-10-30 13:21:39 [Glenn De Maeyer] [reply] 
Assumptie 1 en 2 zijn inderdaad correct. In assumptie 3 werd wel de juiste conclusie getrokken, maar ze had deze ook kunnen afleiden op basis van de run sequence plot. Als we de run sequence plot hier bekijken zien we duidelijk dat er geen constant niveau is.
2008-10-30 13:27:42 [Glenn De Maeyer] [reply] 
Assumptie 4 werd niet opgelost. Hiervoor kijken we naar de run sequence plot. Als we naar de grafiek kijken merken we dat er geen vaste spreiding is.
2008-11-03 08:52:18 [4db2e62d895b4fb371d0fef3013b569f] [reply] 
Zoals eerder vermeld zijn de assumpties 1-3 volledig correct.
Assumptie 4 werd niet opgelost, hiervoor kijken we naar de Run Sequence Plot.
Hieruit wordt duidelijk dat er geen vaste spreiding is.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15.22
14.28
14.61
14.19
14.02
14.22
14.80
15.05
15.24
15.85
15.43
15.41
15.53
15.95
15.72
15.68
16.06
15.27
16.01
15.44
15.47
15.49
15.38
16.62
17.25
16.37
16.14
15.76
15.54
15.46
15.26
16.02
15.67
15.67
15.48
16.07
16.65
16.18
16.55
16.58
17.73
17.94
18.66
18.73
19.07
19.48
19.52
19.60
20.32
19.84
19.81
20.64
22.12
21.50
21.77
20.29
21.76
22.35
22.15
23.83
24.46
25.13
24.36
24.45
23.66
25.97
25.20
24.41
25.32
26.36
28.03
28.95
27.25
27.47
28.75
29.24
28.03
27.34
26.47
28.30
27.90
26.69
28.31
28.84
28.56
28.25
28.93
28.22
31.77
31.64
30.60
32.34
31.51
31.39
32.19
33.11
33.99
34.30
34.53
33.67
34.72
34.91
36.24
37.47
36.94
38.55
39.88
37.78
40.09
40.17
40.67
44.82
40.89
41.47
44.67

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=18471&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=18471&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18471&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






Descriptive Statistics
# observations115
minimum14.02
Q116.015
median22.15
mean24.0509565217391
Q328.94
maximum44.82

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 115 \tabularnewline
minimum & 14.02 \tabularnewline
Q1 & 16.015 \tabularnewline
median & 22.15 \tabularnewline
mean & 24.0509565217391 \tabularnewline
Q3 & 28.94 \tabularnewline
maximum & 44.82 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18471&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]115[/C][/ROW]
[ROW][C]minimum[/C][C]14.02[/C][/ROW]
[ROW][C]Q1[/C][C]16.015[/C][/ROW]
[ROW][C]median[/C][C]22.15[/C][/ROW]
[ROW][C]mean[/C][C]24.0509565217391[/C][/ROW]
[ROW][C]Q3[/C][C]28.94[/C][/ROW]
[ROW][C]maximum[/C][C]44.82[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18471&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18471&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
# observations115
minimum14.02
Q116.015
median22.15
mean24.0509565217391
Q328.94
maximum44.82


Figures (Output of Computation)

Input Parameters & R Code

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')