Free Statistics

of Irreproducible Research!

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, 01 Dec 2009 14:19:14 -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/01/t1259702466krm57luk7t1hs9d.htm/, Retrieved Fri, 29 Mar 2024 16:00:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=62263, Retrieved Fri, 29 Mar 2024 16:00:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2009-10-21 15:13:46] [78762f311bef5a0e45c439762ada383c]
- RM    [Central Tendency] [Workshop 3] [2009-10-21 15:50:41] [78762f311bef5a0e45c439762ada383c]
- RMP       [Univariate Explorative Data Analysis] [Paper] [2009-12-01 21:19:14] [aef022288383377281176d9807aba5bf] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.003577107
1.002484349
1.001194862
1.000297619
1.001776374
1.002748331
1.005301915
1.004900039
1.006163177
1.008184741
1.008962494
1.011215136
1.01103839
1.007693806
1.006714675
1.006418985
1.006001355
1.00639349
1.007722008
1.008080808
1.008082363
1.008441247
1.008430734
1.005749329
1.004121933
1.004111685
1.004489874
1.0026687
1.002939503
1.005226646
1.006440614
1.007499525
1.007978723
1.008230842
1.007286836
1.00785167
1.008569545
1.010941738
1.00893522
1.009179416
1.008370895
1.010062203
1.01077724
1.013248639
1.015006328
1.014835461
1.011724387
1.01088619
1.007817414
1.003600684
1.000089896
0.999192463
0.999910515
1.0002701
1.001439237
1.002613554
1.004886878
1.004435192
1.005873848
1.005069708




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=62263&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=62263&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62263&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'Gwilym Jenkins' @ 72.249.127.135







Descriptive Statistics
# observations60
minimum0.999192463
Q11.00398393475
median1.0064297995
mean1.0064026106
Q31.00843336225
maximum1.015006328

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 60 \tabularnewline
minimum & 0.999192463 \tabularnewline
Q1 & 1.00398393475 \tabularnewline
median & 1.0064297995 \tabularnewline
mean & 1.0064026106 \tabularnewline
Q3 & 1.00843336225 \tabularnewline
maximum & 1.015006328 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=62263&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]60[/C][/ROW]
[ROW][C]minimum[/C][C]0.999192463[/C][/ROW]
[ROW][C]Q1[/C][C]1.00398393475[/C][/ROW]
[ROW][C]median[/C][C]1.0064297995[/C][/ROW]
[ROW][C]mean[/C][C]1.0064026106[/C][/ROW]
[ROW][C]Q3[/C][C]1.00843336225[/C][/ROW]
[ROW][C]maximum[/C][C]1.015006328[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=62263&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=62263&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
# observations60
minimum0.999192463
Q11.00398393475
median1.0064297995
mean1.0064026106
Q31.00843336225
maximum1.015006328



Parameters (Session):
par1 = 0 ; par2 = 12 ;
Parameters (R input):
par1 = 0 ; par2 = 12 ;
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')