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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 computationFri, 12 Nov 2010 21:42:43 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/12/t1289598068zhpt6iipurnrm1g.htm/, Retrieved Tue, 30 Apr 2024 17:42:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94313, Retrieved Tue, 30 Apr 2024 17:42:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
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]
-  MPD      [Univariate Explorative Data Analysis] [WS 6 Mini Tut 4-p...] [2010-11-12 21:42:43] [89d441ae0711e9b79b5d358f420c1317] [Current]
-             [Univariate Explorative Data Analysis] [Paper - 4-plot Cacao] [2010-12-19 18:43:10] [18fa53e8b37a5effc0c5f8a5122cdd2d]
-    D          [Univariate Explorative Data Analysis] [Paper - 4-plot C&S] [2010-12-19 18:51:04] [18fa53e8b37a5effc0c5f8a5122cdd2d]
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Dataseries X:
1576.23
1546.37
1545.05
1552.34
1594.3
1605.78
1673.21
1612.94
1566.34
1530.17
1582.54
1702.16
1701.93
1811.15
1924.2
2034.25
2011.13
2013.04
2151.67
1902.09
1944.01
1916.67
1967.31
2119.88
2216.38
2522.83
2647.64
2631.23
2693.41
3021.76
2953.67
2796.8
2672.05
2251.23
2046.08
2420.04
2608.89
2660.47
2493.98
2541.7
2554.6
2699.61
2805.48
2956.66
3149.51
3372.5
3379.33
3517.54
3527.34
3281.06
3089.65
3222.76
3165.76
3232.43
3229.54
3071.74
2850.17




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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=94313&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=94313&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94313&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Descriptive Statistics
# observations57
minimum1530.17
Q11902.09
median2493.98
mean2401.20350877193
Q32953.67
maximum3527.34

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 57 \tabularnewline
minimum & 1530.17 \tabularnewline
Q1 & 1902.09 \tabularnewline
median & 2493.98 \tabularnewline
mean & 2401.20350877193 \tabularnewline
Q3 & 2953.67 \tabularnewline
maximum & 3527.34 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94313&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]57[/C][/ROW]
[ROW][C]minimum[/C][C]1530.17[/C][/ROW]
[ROW][C]Q1[/C][C]1902.09[/C][/ROW]
[ROW][C]median[/C][C]2493.98[/C][/ROW]
[ROW][C]mean[/C][C]2401.20350877193[/C][/ROW]
[ROW][C]Q3[/C][C]2953.67[/C][/ROW]
[ROW][C]maximum[/C][C]3527.34[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94313&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94313&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
# observations57
minimum1530.17
Q11902.09
median2493.98
mean2401.20350877193
Q32953.67
maximum3527.34



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)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='lagplot.png')
dum <- cbind(lag(x,k=1),x)
dum
dum1 <- dum[2:length(x),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Lag plot, lowess, and regression line'))
lines(lowess(z))
abline(lm(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')