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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_edauni.wasp

Title produced by software

Univariate Explorative Data Analysis

Date of computation

Sun, 25 Oct 2009 14:43:54 -0600

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/25/t12565034972bkjbk4swmxyfu0.htm/, Retrieved Mon, 29 Apr 2024 14:38:33 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=50395, Retrieved Mon, 29 Apr 2024 14:38:33 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

145

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD      [Harrell-Davis Quantiles] [workshop 3] [2009-10-19 09:21:19] [3d8acb8ffdb376c5fec19e610f8198c2]
- RMP           [Univariate Explorative Data Analysis] [] [2009-10-25 20:43:54] [6c94b261890ba36343a04d1029691995] [Current]

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Dataseries X:

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Histogram

Boxplots

5.10
5.21
5.31
5.34
5.44
5.47
5.60
5.68
5.76
6.03
6.14
6.54
6.50
6.43
6.93
6.77
6.58
6.55
6.41
6.28
6.18
6.35
6.17
6.04
5.68
5.43
5.43
5.38
5.28
5.33
5.35
5.31
5.24
5.12
5.04
5.03
4.98
4.98
5.09
5.12
5.07
5.05
5.05
5.05
5.03
5.11
5.19
5.14
4.97
4.94
4.93
4.92
4.90
4.90
4.82
4.81
4.72
4.54
4.51
4.30
4.08
4.05
4.03
3.85
3.80
3.91
3.99
4.08
5.15
4.78
4.79
4.79
4.69
4.82
4.98
5.12
5.55
5.65
5.66
5.74
5.76
5.91
5.92
5.74
5.25
5.06
4.84
4.66
4.38
4.14
4.11
3.96
3.51
3.00
2.75
2.63
2.58
2.63
2.69
2.69
2.69
2.67
2.63
2.57
2.56
2.52
2.29
2.18
2.10
2.02
1.91
1.92
1.85
1.64
1.62
1.64
1.65
1.65
1.67
1.66
1.61
1.59
1.57
1.60
1.67
1.81
1.88
1.92
2.01
2.12
2.24
2.34
2.41
2.48
2.59
2.65
2.70
2.77
2.87
2.97
3.03
3.19
3.36
3.48
3.56
3.68
3.82
3.93
4.04
4.19
4.30
4.33
4.36
4.44
4.49
4.52

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50395&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50395&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50395&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Descriptive Statistics
# observations	156
minimum	1.57
Q1	2.69
median	4.53
mean	4.16814102564103
Q3	5.2425
maximum	6.93

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 156 \tabularnewline
minimum & 1.57 \tabularnewline
Q1 & 2.69 \tabularnewline
median & 4.53 \tabularnewline
mean & 4.16814102564103 \tabularnewline
Q3 & 5.2425 \tabularnewline
maximum & 6.93 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=50395&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]156[/C][/ROW]
[ROW][C]minimum[/C][C]1.57[/C][/ROW]
[ROW][C]Q1[/C][C]2.69[/C][/ROW]
[ROW][C]median[/C][C]4.53[/C][/ROW]
[ROW][C]mean[/C][C]4.16814102564103[/C][/ROW]
[ROW][C]Q3[/C][C]5.2425[/C][/ROW]
[ROW][C]maximum[/C][C]6.93[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=50395&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=50395&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
# observations	156
minimum	1.57
Q1	2.69
median	4.53
mean	4.16814102564103
Q3	5.2425
maximum	6.93

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Figure 4

PNG link

Postscript link

PDF link

Figure 5

PNG link

Postscript link

PDF link

Figure 6

PNG link

Postscript link

PDF link

Figure 7

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = 36 ;

Parameters (R input):

par1 = 1 ; par2 = 36 ;

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)
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')

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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code