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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, 20 Oct 2009 13:17:50 -0600
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/Oct/20/t1256066335o9pyfh5il15xc3r.htm/, Retrieved Thu, 02 May 2024 20:17:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49041, Retrieved Thu, 02 May 2024 20:17:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsworkshop 3 deel 2.2 eda
Estimated Impact145

Tree of Dependent Computations

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] [workshop 3 deel 1...] [2009-10-19 19:20:29] [309ee52d0058ff0a6f7eec15e07b2d9f]
- RMPD          [Univariate Explorative Data Analysis] [workshop 3 deel 2...] [2009-10-20 19:17:50] [6198946fb53eb5eb18db46bb758f7fde] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-1,563895
-1,571395
-1,575945
-1,576615
-2,070195
-1,583195
-1,574525
-1,557275
-1,537985
-1,524965
-1,517515
-1,524375
-1,527505
-1,535495
-1,521665
-1,521325
-1,498565
-1,497645
-1,493295
-1,496865
-1,503905
-1,504655
-1,499805
-1,495325
-1,474585
-1,467225
-1,456545
-1,476975
-1,471875
-1,508455
-1,516745
-1,510405
-1,520065
-1,520465
-1,535815
-1,522035
-1,543145
-1,566095
-1,565355
-1,558975
-1,538025
-1,524515
-1,530835
-1,538875
-1,531395
-1,520755
-1,492575
-1,510995
-1,517825
-1,530015
-1,526665
-1,534165
-1,530405
-1,539745
-1,539835
-1,537125
-1,541595
-1,537225
-1,535165
-1,538275
-1,533015
-1,544625
-1,549345
-1,549765
-1,542695
-1,543035
-1,550475
-1,570405
-1,578585
-1,586855
-1,587825
-1,593635
-1,621685
-1,622795
-1,601785
-1,627755
-1,638835
-1,648275
-1,651895
-1,630235
-1,628225
-1,644055
-1,609135
-1,608155
-1,542645

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49041&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49041&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49041&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'George Udny Yule' @ 72.249.76.132






Descriptive Statistics
# observations85
minimum-2.070195
Q1-1.571395
median-1.537985
mean-1.55165217647059
Q3-1.520465
maximum-1.456545

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 85 \tabularnewline
minimum & -2.070195 \tabularnewline
Q1 & -1.571395 \tabularnewline
median & -1.537985 \tabularnewline
mean & -1.55165217647059 \tabularnewline
Q3 & -1.520465 \tabularnewline
maximum & -1.456545 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49041&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]85[/C][/ROW]
[ROW][C]minimum[/C][C]-2.070195[/C][/ROW]
[ROW][C]Q1[/C][C]-1.571395[/C][/ROW]
[ROW][C]median[/C][C]-1.537985[/C][/ROW]
[ROW][C]mean[/C][C]-1.55165217647059[/C][/ROW]
[ROW][C]Q3[/C][C]-1.520465[/C][/ROW]
[ROW][C]maximum[/C][C]-1.456545[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49041&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49041&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
# observations85
minimum-2.070195
Q1-1.571395
median-1.537985
mean-1.55165217647059
Q3-1.520465
maximum-1.456545


Figures (Output of Computation)

Input Parameters & R Code

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')