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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 computationThu, 04 Dec 2008 07:32:27 -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/2008/Dec/04/t1228401276ehn1pcwipdqt4jy.htm/, Retrieved Sat, 18 May 2024 17:10:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=28928, Retrieved Sat, 18 May 2024 17:10:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact202

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] [] [2008-12-04 14:32:27] [c60a842d48931bd392d024d8e9ef4583] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1160.9
1470.1
1653
1390
1550.7
1852.1
1797.9
1256.4
1835.5
1793.2
1874.8
1948.6
1819.9
1823.6
2042.7
1705.9
1876.8
1919.5
1803.4
1380.4
1812.1
1856.4
1934.3
1977.5
1813.7
1937.1
2178.7
1699.9
1943.8
2151
1927.7
1418.2
1899.8
1974.9
1918.7
1818.3
1751
1888
1947.7
1818.1
2110.8
2009
2124.2
1542.5
2044.1
2324.3
2055.6
2137.9
2140.7
2301.5
2412.6
2477
2311.8
2326.6
2745.3
1937.2
2668.7
2636.1
2327.6
2584.6
2282.8
2337
2499.3
2389.6
2327.1
2556.6
2580
1831.4
2382.1
2237.9
2117.7
2240.9
1946.1
2149.6
2690
2171.1
2358.6
2841.4
3064.6
2037.3
2799.9
2852.3
2541.2
2910
2694.6
3081.7
3648.2
2823.3
3670.1
3027.6
3578.5
2655.1
3835.3
3766
3716
3531.7
3194
3442.2
3610
3105.5
3428.4
3489.7
3679
2596.1
3110.7
3401.7
3431.8
3383.1
3797.5
3860.5
4054.1
4044.9
4402.4
4046.4
4329.7
3204.2
4037.2
4678.4
4174.6
4151.4
3874.7
3568
3431
3733.2
3278.3
3583.7
4060.3
2979
4078.4
4002.1
3542.4
3928.2
3626
3998.4
4413.5
3853.1
3920.5
4616.2
4332.7
3362.7
3855.4
4087.1
3860.2
4018.1
3627.7
3996
4420.7
4386.5
4631.8
4875.3
4549.3
3933
4963.3
4419.7
4646.7
5000.2
4302.2
4432.1
5125.5
4299.9
5145.6
4537.8
4880.9
4136.9
4668.8
4818.5
4933.9
4524.4
4676.1
4911
5745
4483.7
4772.7
5021.4
5535.6
4736
5001.7
5486.3
4958.5
4756.4
4763.3
4951.2
4692.8
5301.2
4929.7
5223.3
5708.3
4018

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 5 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28928&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]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28928&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28928&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 time5 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Descriptive Statistics
# observations188
minimum1160.9
Q12115.975
median3199.1
mean3215.95
Q34140.525
maximum5745

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 188 \tabularnewline
minimum & 1160.9 \tabularnewline
Q1 & 2115.975 \tabularnewline
median & 3199.1 \tabularnewline
mean & 3215.95 \tabularnewline
Q3 & 4140.525 \tabularnewline
maximum & 5745 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=28928&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]188[/C][/ROW]
[ROW][C]minimum[/C][C]1160.9[/C][/ROW]
[ROW][C]Q1[/C][C]2115.975[/C][/ROW]
[ROW][C]median[/C][C]3199.1[/C][/ROW]
[ROW][C]mean[/C][C]3215.95[/C][/ROW]
[ROW][C]Q3[/C][C]4140.525[/C][/ROW]
[ROW][C]maximum[/C][C]5745[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=28928&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=28928&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
# observations188
minimum1160.9
Q12115.975
median3199.1
mean3215.95
Q34140.525
maximum5745


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')