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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

Tue, 20 Oct 2009 12:20:50 -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/20/t125606294007vl7dpag8vd9e2.htm/, Retrieved Thu, 02 May 2024 23:25:02 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=48945, Retrieved Thu, 02 May 2024 23:25:02 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Y[t]: werkloosheidsgraad mannen X[t]: werkloosheidsgraad vrouwen

Estimated Impact

152

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]
- RMP       [Histogram] [Histogram] [2009-10-16 09:23:58] [4395c69e961f9a13a0559fd2f0a72538]
- RMPD        [Quartiles] [Quartiles] [2009-10-16 09:37:48] [4395c69e961f9a13a0559fd2f0a72538]
- RM            [Percentiles] [Percentiles] [2009-10-16 09:44:59] [4395c69e961f9a13a0559fd2f0a72538]
- RM D            [Central Tendency] [Central Tendency ...] [2009-10-20 17:54:00] [4395c69e961f9a13a0559fd2f0a72538]
-    D              [Central Tendency] [Central Tendency ...] [2009-10-20 18:10:34] [4395c69e961f9a13a0559fd2f0a72538]
- RMPD                  [Univariate Explorative Data Analysis] [EDA E[t] Werkloos...] [2009-10-20 18:20:50] [d1081bd6cdf1fed9ed45c42dbd523bf1] [Current]
- RMP                     [Harrell-Davis Quantiles] [Harrell Davis Qua...] [2009-10-20 19:17:03] [4395c69e961f9a13a0559fd2f0a72538] 

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Dataseries X:

Download CSV

Histogram

Boxplots

1.00
0.10
-0.30
-0.20
0.40
0.50
0.40
-0.10
-0.20
-0.20
0.10
0.10
-0.30
-1.20
-1.50
-1.20
-0.70
-0.10
0.00
-0.10
-0.20
-0.10
0.00
0.20
-0.30
-1.00
-1.20
-1.00
-0.30
0.10
0.20
0.30
0.40
0.60
0.80
0.50
-0.10
-1.30
-1.80
-1.50
-0.80
-0.40
-0.30
-0.30
-0.40
-0.60
-0.60
-0.40
-0.30
-0.10
0.10
0.30
0.00
-0.10
0.10
0.50
0.80
0.90
0.90
0.90
0.80
0.60
0.20
0.20
-0.20
-0.10
0.00
0.40
0.90
1.30
1.60
1.80
1.80

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=48945&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=48945&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48945&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	73
minimum	-1.8
Q1	-0.3
median	0
mean	0.0041095890410959
Q3	0.4
maximum	1.8

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 73 \tabularnewline
minimum & -1.8 \tabularnewline
Q1 & -0.3 \tabularnewline
median & 0 \tabularnewline
mean & 0.0041095890410959 \tabularnewline
Q3 & 0.4 \tabularnewline
maximum & 1.8 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=48945&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]73[/C][/ROW]
[ROW][C]minimum[/C][C]-1.8[/C][/ROW]
[ROW][C]Q1[/C][C]-0.3[/C][/ROW]
[ROW][C]median[/C][C]0[/C][/ROW]
[ROW][C]mean[/C][C]0.0041095890410959[/C][/ROW]
[ROW][C]Q3[/C][C]0.4[/C][/ROW]
[ROW][C]maximum[/C][C]1.8[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=48945&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=48945&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	73
minimum	-1.8
Q1	-0.3
median	0
mean	0.0041095890410959
Q3	0.4
maximum	1.8

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 = 0 ; par2 = 36 ;

Parameters (R input):

par1 = 0 ; 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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code