Free Statistics

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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 computationSat, 18 Dec 2010 13:09:57 +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/18/t1292677677sd2ynucfymmec48.htm/, Retrieved Tue, 30 Apr 2024 07:41:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=111941, Retrieved Tue, 30 Apr 2024 07:41:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
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]
-   PD  [Univariate Explorative Data Analysis] [sequence plot cc-...] [2010-12-01 13:18:58] [c895532cb7349383dee5125244983cc8]
-         [Univariate Explorative Data Analysis] [sequence plot yt] [2010-12-02 15:01:10] [75b8170d590d2aca2c97c1862bb2167f]
-    D        [Univariate Explorative Data Analysis] [] [2010-12-18 13:09:57] [a4848c79f7a98c5639a543e143e21e11] [Current]
-               [Univariate Explorative Data Analysis] [run sequence plot...] [2010-12-28 08:03:13] [75b8170d590d2aca2c97c1862bb2167f]
-               [Univariate Explorative Data Analysis] [berekening 2] [2010-12-28 13:00:55] [916599f00c9c716123aa8433d9efa14f]
-               [Univariate Explorative Data Analysis] [berekening 2] [2010-12-28 13:09:16] [916599f00c9c716123aa8433d9efa14f]
-               [Univariate Explorative Data Analysis] [] [2010-12-29 16:10:38] [c895532cb7349383dee5125244983cc8]
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Dataseries X:
0
39
0
0
305
-9
-1
0
0
0
33
32
0
0
0
0
0
0
0
0
0
0
0
-3
6
0
0
70
0
5
-5
0
0
58
37
9
0
-31
2865
0
14
0
32
0
0
-4
0
0
74
20
247
11
-6
284
819
652
0
10
22
0
0
16
-3
0
10
0
73
0
0
0
1974
-129
28328
0
0
0
0
0
238
3040
0
0
0
1
0
0
0
0
0
0
0
0
1910
38
0
0
0
0
0
0
17
0
0
0
0
-366
0
2964
0
0
36
-8
0
-5
0
0
38
601
132
66
0
0
195
19
-158
0
0
0
-70
13
3
0
0
0
0

0
0
0
0
101
31
0
0
0
0
0
0
0
0
0
-4
0
0
-12
6
0
0
0
2
0
0
0
0
0
163
0
4
31
26
13
10
5
13
0
0
0
0
0
0
67
22
0
0
0
0
0
-4
4145
0
0
-3
0
0
0
0
20
9
0
0
446
0
0
0
0
5
18
0
0
0
745
1
0
-1
436
66
0
0
13
30
0
0
0
0
0
143
0
769
0
0
154
0
199
0
0
-5
6
0
0
0
-6
30
0
0
-3
-8
0
0
0
0
0
0
0
0
0
0
0
0
135
104
53
220
-4
25
-15
0
0
0
0
0
0
0
-5
0
54
0
0
0
-3
-2
0
0
0
0
0
0
0
9
223
-25
0
0
0
-4
0
0
0
943
0
0
2167
0
30
0
0
0
90
0
0
0
0
0
0
0
0
-6
17936
0
0
-14
0
0
49
0
26
0
24
56289
929
-3
26
0
0
120
13
0
2
379
0
0
4
0
0
22
0
0
0
-58
0
0
0
0
0
0
10
0
0
0
0
66
58
23
0
0
0
1871
0
0
0
-31
12
-5
0
119
0
49
24
822
0
0
85
0
28
0
0
-5
14
0
0
0
0
0
35
0
0
0
0
0
0
23
12
44
0
643
-1
0
0
217
10
108
0
0
0
-5
25
0
59
34
0
0
0
14
2854
0
-10
-28
0
0
-2
0
0





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=111941&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=111941&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111941&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 time5 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135
R Framework error message
Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Descriptive Statistics
# observations430
minimum-366
Q10
median0
mean323.595348837209
Q310
maximum56289

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 430 \tabularnewline
minimum & -366 \tabularnewline
Q1 & 0 \tabularnewline
median & 0 \tabularnewline
mean & 323.595348837209 \tabularnewline
Q3 & 10 \tabularnewline
maximum & 56289 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=111941&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]430[/C][/ROW]
[ROW][C]minimum[/C][C]-366[/C][/ROW]
[ROW][C]Q1[/C][C]0[/C][/ROW]
[ROW][C]median[/C][C]0[/C][/ROW]
[ROW][C]mean[/C][C]323.595348837209[/C][/ROW]
[ROW][C]Q3[/C][C]10[/C][/ROW]
[ROW][C]maximum[/C][C]56289[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=111941&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=111941&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
# observations430
minimum-366
Q10
median0
mean323.595348837209
Q310
maximum56289



Parameters (Session):
par1 = 0 ; par2 = 20 ;
Parameters (R input):
par1 = 0 ; par2 = 20 ;
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')