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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, 21 Dec 2010 19:08:30 +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/Dec/21/t12929584513ncjsab154b1t2i.htm/, Retrieved Fri, 17 May 2024 04:10:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=113844, Retrieved Fri, 17 May 2024 04:10:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163

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] [time effect in su...] [2010-11-17 08:55:33] [b98453cac15ba1066b407e146608df68]
-    D  [Univariate Explorative Data Analysis] [Workshop 7 mini-t...] [2010-11-21 11:57:56] [87d60b8864dc39f7ed759c345edfb471]
-    D      [Univariate Explorative Data Analysis] [paper - Run seque...] [2010-12-21 19:08:30] [a948b7c78e10e31abd3f68e640bbd8ba] [Current]
-    D        [Univariate Explorative Data Analysis] [paper -Run sequen...] [2010-12-22 05:46:31] [033eb2749a430605d9b2be7c4aac4a0c]
-    D        [Univariate Explorative Data Analysis] [Paper - Run Seque...] [2010-12-22 05:55:32] [033eb2749a430605d9b2be7c4aac4a0c]
-    D        [Univariate Explorative Data Analysis] [paper - Run seque...] [2010-12-22 06:02:16] [033eb2749a430605d9b2be7c4aac4a0c]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
46
44
42
41
48
49
51
47
49
46
51
54
52
52
45
52
56
54
50
35
48
37
47
31
45
47
44
30
40
44
43
51
48
55
48
53
49
44
45
40
44
41
46
47
48
43
46
53
33
47
43
45
49
45
37
42
43
44
39
37
53
48
47
49
47
56
51
43
51
36
55
33
42
43
44
47
43
47
41
53
47
23
43
47
47
49
50
43
44
49
47
39
49
41
40
38
43
55
46
54
47
35
41
53
44
48
49
39
45
34
46
45
53
51
45
50
41
44
43
42
48
45
48
48
53
45
45
50
48
41
53
40
49
46
48
43
53
51
41
45
44
43
34
38
40
48

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 4 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113844&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113844&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113844&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 time4 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Descriptive Statistics
# observations146
minimum23
Q143
median46
mean45.4109589041096
Q349
maximum56

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 146 \tabularnewline
minimum & 23 \tabularnewline
Q1 & 43 \tabularnewline
median & 46 \tabularnewline
mean & 45.4109589041096 \tabularnewline
Q3 & 49 \tabularnewline
maximum & 56 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=113844&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]146[/C][/ROW]
[ROW][C]minimum[/C][C]23[/C][/ROW]
[ROW][C]Q1[/C][C]43[/C][/ROW]
[ROW][C]median[/C][C]46[/C][/ROW]
[ROW][C]mean[/C][C]45.4109589041096[/C][/ROW]
[ROW][C]Q3[/C][C]49[/C][/ROW]
[ROW][C]maximum[/C][C]56[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=113844&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=113844&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
# observations146
minimum23
Q143
median46
mean45.4109589041096
Q349
maximum56


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')