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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 computationWed, 30 Dec 2009 13:14:40 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/30/t1262204121y719bbtn5spo0di.htm/, Retrieved Mon, 29 Apr 2024 02:06:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71368, Retrieved Mon, 29 Apr 2024 02:06:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Explorative Data Analysis] [] [2009-12-29 09:27:58] [d2d412c7f4d35ffbf5ee5ee89db327d4]
-    D  [Univariate Explorative Data Analysis] [] [2009-12-30 14:10:39] [d2d412c7f4d35ffbf5ee5ee89db327d4]
-    D    [Univariate Explorative Data Analysis] [] [2009-12-30 20:11:28] [d2d412c7f4d35ffbf5ee5ee89db327d4]
-    D        [Univariate Explorative Data Analysis] [] [2009-12-30 20:14:40] [f6a332ba2d530c028d935c5a5bbb53af] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4930.63
6284.63
13339.63
8935.63
-419.37
1220.63
-5094.37
-5561.37
-2732.37
-316.37
-3929.37
-9291.37
6644.63
2492.63
5997.63
3383.63
-693.37
3945.63
-5128.37
-4368.37
-3414.37
-3313.37
-4619.37
-12400.37
8857.63
6407.63
11407.63
4066.63
3637.63
592.63
-4941.37
-5770.37
-4893.37
-2103.37
-5716.37
-13731.37
8025.63
3452.63
7552.63
2760.63
2001.63
2679.63
-2680.37
-4410.37
-2674.37
1677.63
-3284.37
-10360.37
8467.63
7012.63
6920.63
8835.63
2727.63
3736.63
-2893.37
-5309.37
-2578.37
-580.37
-7526.37
-11589.37
2348.63
991.63
4687.63
3096.63
-2582.37
-339.37
-4070.37
-6127.37
-3062.37
-613.37

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71368&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71368&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71368&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 time3 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Descriptive Statistics
# observations70
minimum-13731.37
Q1-4293.87
median-379.37
mean0.00142857142852463
Q33893.38
maximum13339.63

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 70 \tabularnewline
minimum & -13731.37 \tabularnewline
Q1 & -4293.87 \tabularnewline
median & -379.37 \tabularnewline
mean & 0.00142857142852463 \tabularnewline
Q3 & 3893.38 \tabularnewline
maximum & 13339.63 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71368&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]70[/C][/ROW]
[ROW][C]minimum[/C][C]-13731.37[/C][/ROW]
[ROW][C]Q1[/C][C]-4293.87[/C][/ROW]
[ROW][C]median[/C][C]-379.37[/C][/ROW]
[ROW][C]mean[/C][C]0.00142857142852463[/C][/ROW]
[ROW][C]Q3[/C][C]3893.38[/C][/ROW]
[ROW][C]maximum[/C][C]13339.63[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71368&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71368&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
# observations70
minimum-13731.37
Q1-4293.87
median-379.37
mean0.00142857142852463
Q33893.38
maximum13339.63


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0 ;
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')