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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

Mon, 19 Oct 2009 01:50:09 -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/19/t1255938640198js61ky9ljsfo.htm/, Retrieved Mon, 29 Apr 2024 18:43:57 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47577, Retrieved Mon, 29 Apr 2024 18:43:57 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

182

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      [Central Tendency] [WS3] [2009-10-16 12:59:56] [eaf42bcf5162b5692bb3c7f9d4636222]
- RMP         [Histogram] [WS3] [2009-10-16 13:03:45] [eaf42bcf5162b5692bb3c7f9d4636222]
- RMPD            [Univariate Explorative Data Analysis] [WS3 vraag 3] [2009-10-19 07:50:09] [78d370e6d5f4594e9982a5085e7604c6] [Current]
- RMP               [Histogram] [WS3] [2009-10-19 07:55:12] [eaf42bcf5162b5692bb3c7f9d4636222] 
- RMP               [Harrell-Davis Quantiles] [WS3] [2009-10-19 07:58:30] [eaf42bcf5162b5692bb3c7f9d4636222] 
- RMP                 [Central Tendency] [WS3] [2009-10-20 15:06:41] [eaf42bcf5162b5692bb3c7f9d4636222] 

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Dataseries X:

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Histogram

Boxplots

-1.97
-1.99
-2.02
-2.02
-1.98
-1.92
-1.97
-1.99
-1.96
-1.92
-1.92
-1.92
-2.00
-1.99
-1.95
-1.98
-2.01
-2.09
-2.06
-2.03
-2.07
-2.10
-2.09
-2.14
-2.14
-2.10
-2.09
-2.08
-2.06
-2.06
-2.06
-2.13
-2.13
-2.11
-2.14
-2.07
-1.96
-1.87
-1.85
-1.81
-1.78
-1.65
-1.67
-1.51
-1.41
-1.43
-1.55
-1.56
-1.64
-1.85
-1.91
-1.96
-2.03
-2.21
-2.21
-2.34
-2.43
-2.51
-2.39
-2.44

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47577&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47577&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47577&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	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Descriptive Statistics
# observations	60
minimum	-2.51
Q1	-2.0925
median	-2.005
mean	-1.98716666666667
Q3	-1.92
maximum	-1.41

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & -2.51 \tabularnewline
Q1 & -2.0925 \tabularnewline
median & -2.005 \tabularnewline
mean & -1.98716666666667 \tabularnewline
Q3 & -1.92 \tabularnewline
maximum & -1.41 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47577&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]-2.51[/C][/ROW]
[ROW][C]Q1[/C][C]-2.0925[/C][/ROW]
[ROW][C]median[/C][C]-2.005[/C][/ROW]
[ROW][C]mean[/C][C]-1.98716666666667[/C][/ROW]
[ROW][C]Q3[/C][C]-1.92[/C][/ROW]
[ROW][C]maximum[/C][C]-1.41[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47577&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47577&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	60
minimum	-2.51
Q1	-2.0925
median	-2.005
mean	-1.98716666666667
Q3	-1.92
maximum	-1.41

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