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, 13 Nov 2012 18:25:14 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/13/t1352849134jp10loa9fyy4uoe.htm/, Retrieved Sat, 27 Apr 2024 20:21:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=189212, Retrieved Sat, 27 Apr 2024 20:21:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact63
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]
- RMPD      [Univariate Explorative Data Analysis] [winsorize] [2012-11-13 23:25:14] [2f047a68beb18e789d06219c4ebd4599] [Current]
Feedback Forum

Post a new message
Dataseries X:
48,03
48,05
48,3
48,45
48,53
48,84
48,9
49,07
49,16
49,23
49,4
49,96
49,96
50,45
50,51
50,89
51,7
52,17
52,95
52,96
53,24
53,31
53,32
53,36
53,61
53,79
53,88
54,34
54,76
55,08
55,23
55,54
55,62
55,74
55,82
55,85
55,91
56,19
56,75
57,11
57,77
57,77
58,22
58,42
58,55
58,59
58,64
58,78
58,96
59,08
59,17
60,32
60,46
60,66
60,94
61,39
61,85
61,85
61,87
62,34
62,37
62,54
63,19
63,45
64,7
64,7
64,81
65,21
65,3
65,87
65,97
66,01
66,28
66,31
66,58
66,64
66,95
67,16
67,25
67,37
67,44
67,48
67,62
67,62
67,77
67,98
68,38
68,39
68,44
68,46
68,55
68,59
68,76
68,77
68,86
69,26
69,36
69,47
69,6
69,75
69,78
69,8
69,93
69,96
70,01
70,06
70,07
70,35
70,38
70,47
70,59
70,91
71,01
71,32
71,34
71,53
71,79
71,9
71,96
72,07
72,16
72,16
72,45
72,65
72,75
72,77
73,02
73,08
73,16
73,29
73,51
73,95
74,39
74,48
74,54
74,57
74,65
74,7
74,86
74,91
74,93
74,99
75,04
75,46
75,49
75,66
75,69
75,78
75,8
75,82
75,87
75,97
76,04
76,07
76,15
76,16
76,19
76,2
76,27
76,29
76,39
76,47
76,49
76,6
76,65
76,9
77,03
77,06
77,14
77,15
77,31
77,42
77,42
77,47
77,51
77,78
77,79
78,01
78,16
78,19
78,2
78,27
78,38
78,67
78,75
78,8
78,86
78,91
79,16
79,23
79,31
79,34
79,88
79,89
79,91
79,98
80,03
80,25
80,27
80,47
80,48
80,58
80,64
80,7
80,7
81,08
81,14
81,19
81,22
81,57
81,58
81,69
81,7
81,93
81,95
82,13
82,22
82,39
82,44
82,48
82,83
83,07
83,23
83,36
83,48
83,63
83,64
83,94
84,03
84,1
84,26
84,34
84,44
84,5
84,65
84,67
85,1
85,19
85,23
85,25
85,3
85,32
85,59
85,66
86,02
86,24
86,4
86,44
86,73
86,82
86,92
86,97
86,98
87,07
87,09
87,28
87,28
87,35
87,38
87,48




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\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 & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189212&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189212&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189212&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 time6 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Descriptive Statistics
# observations260
minimum48.03
Q164.7
median73.4
mean71.3481538461538
Q379.9275
maximum87.48

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics \tabularnewline
# observations & 260 \tabularnewline
minimum & 48.03 \tabularnewline
Q1 & 64.7 \tabularnewline
median & 73.4 \tabularnewline
mean & 71.3481538461538 \tabularnewline
Q3 & 79.9275 \tabularnewline
maximum & 87.48 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189212&T=1

[TABLE]
[ROW][C]Descriptive Statistics[/C][/ROW]
[ROW][C]# observations[/C][C]260[/C][/ROW]
[ROW][C]minimum[/C][C]48.03[/C][/ROW]
[ROW][C]Q1[/C][C]64.7[/C][/ROW]
[ROW][C]median[/C][C]73.4[/C][/ROW]
[ROW][C]mean[/C][C]71.3481538461538[/C][/ROW]
[ROW][C]Q3[/C][C]79.9275[/C][/ROW]
[ROW][C]maximum[/C][C]87.48[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189212&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189212&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
# observations260
minimum48.03
Q164.7
median73.4
mean71.3481538461538
Q379.9275
maximum87.48



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')