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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 computationTue, 21 Dec 2010 09:36:56 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/21/t1292924115137acgwfzwq7pur.htm/, Retrieved Sun, 19 May 2024 20:21:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113220, Retrieved Sun, 19 May 2024 20:21:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Summary Statistics] [Analyse temperatu...] [2010-12-17 14:20:07] [b3140021f9a1a3896de9ecbfce0f1101]
- RMPD    [Univariate Explorative Data Analysis] [Univariate EDA - ...] [2010-12-21 09:36:56] [0605ea080d54454c99180f574351b8e4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15.73
16.17
12.00
12.86
10.30
12.97
12.06
10.49
5.97
9.26
9.74
5.46
2.71
3.90
1.51
5.01
2.96
-1.97
-4.61
4.27
4.01
0.04
3.04
2.29
4.37
6.39
5.74
7.64
7.07
6.23
10.20
14.07
12.83
12.04
11.97
12.63
13.56
15.66
16.34
14.09
15.03
16.09
19.27
22.50
16.07
19.11
18.66
18.29
20.26
19.20
20.10
17.93
16.11
16.90
16.14
15.04
13.41
14.14
9.59
10.74
11.67
8.09
10.07
11.80
12.01
6.61
6.47
-3.11
1.94
1.10
-3.40
1.64
3.11
-0.16
3.80
-2.39
1.51
7.24
2.00
2.11
10.54
11.10
7.34
9.53
9.71
10.14
13.93
8.33
8.31
13.83
14.50
16.71
16.49
14.57
19.04
22.84
22.23
19.56
19.76
18.36
16.99
16.87
18.50
16.51

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=113220&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=113220&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113220&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






Descriptive Statistics
# observations104
minimum-4.61
Q15.67
median11.385
mean10.5709615384615
Q316.095
maximum22.84

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 104 \tabularnewline
minimum & -4.61 \tabularnewline
Q1 & 5.67 \tabularnewline
median & 11.385 \tabularnewline
mean & 10.5709615384615 \tabularnewline
Q3 & 16.095 \tabularnewline
maximum & 22.84 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113220&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]104[/C][/ROW]
[ROW][C]minimum[/C][C]-4.61[/C][/ROW]
[ROW][C]Q1[/C][C]5.67[/C][/ROW]
[ROW][C]median[/C][C]11.385[/C][/ROW]
[ROW][C]mean[/C][C]10.5709615384615[/C][/ROW]
[ROW][C]Q3[/C][C]16.095[/C][/ROW]
[ROW][C]maximum[/C][C]22.84[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113220&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113220&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
# observations104
minimum-4.61
Q15.67
median11.385
mean10.5709615384615
Q316.095
maximum22.84


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 2 ;
Parameters (R input):
par1 = 0 ; par2 = 2 ;
R code (references can be found in the software module):
par2 = 52
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)
qqline(x)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot1.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main='Lag plot (k=1), lowess, and regression line')
lines(lowess(z))
abline(lm(z))
dev.off()
if (par2 > 1) {
bitmap(file='lagplotpar2.png')
dum <- cbind(lag(x,k=par2),x)
dum
dum1 <- dum[(par2+1):length(x),]
dum1
z <- as.data.frame(dum1)
z
mylagtitle <- 'Lag plot (k='
mylagtitle <- paste(mylagtitle,par2,sep='')
mylagtitle <- paste(mylagtitle,'), and lowess',sep='')
plot(z,main=mylagtitle)
lines(lowess(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')