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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 19 May 2014 11:05:57 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/May/19/t1400511971eh9oa5l1gzumuz1.htm/, Retrieved Wed, 15 May 2024 07:31:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234955, Retrieved Wed, 15 May 2024 07:31:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2014-02-09 11:20:49] [1a8a9c3e9efac5cdf721943be7ce7ff8]
- R       [Univariate Data Series] [] [2014-05-19 15:05:57] [9093db98244a413fd54e2b1bc98c9896] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
71.97
72.32
74.07
77.95
81.75
80.81
74.1
71.37
75.21
76.9
74.44
74.76
76.23
76.97
78.4
78.6
80.08
81.12
80.31
84.59
81.34
80.95
80.48
75.26
76.32
78.92
80.47
83.14
85.42
81.53
87.31
86.01
85.1
79.91
78.6
78.6
79.37
82.89
84.43
85.32
87.71
84.68
80.62
84.79
85.49
81.68
77.69
78.31
79.18
80.91
83.91
86.3
89.76
85.11
83.81
85.36
85.89
82.59
80.87
80.27
81.36
84.81
90.3
95.43
97.59
97.8
99.48
97.52
104.39
97.74
91.37
92.42
96.9
101.58
105.46
110.06
107.9
102.87
96.28
98.59
103.22
98.6
91.79
93.83
95.17
95.19
99.44
109.18
109.15
109.72
108.41
102.96
107.64
97.28
97.25
91.84
94.12
97.86
98.83
102.29
104.49
102.11
102.14
101.28
101.21
94.2
88.47
88.08
88.02
92.95
97.05
101.44
100.34
99.98
94.17
94.54
95.12
98.04
93.72
93.83
93.03
95.81
99.1
100.12
100.67
103.87
102.39
107.21
105.71
99.79
96.12
96.17
97.23
98.08
99.84
99.72
99.92
102.7
102.06
102.36
102.43
100.6
98.4
98.61
103.03
104.7
107.45
109.67
110.54
112.05
113.19
114.2
112.56
107.36
103.93
103.83
104.74
107.5
109.53
109.42
108.6
110.72
105.1
105.19
102.55
101.25
101.56
101.62
101.7
102.94
104.37
106.93
107.82
110.83
106.86
109.46
108.8
108.69
107.77
108.64
108.5
113.84
114.59
116.27
113.63
112.29
110.31
108.47
110.67
109.1
107.02
108.12
106.69
109.87
110.82
114.14
113.31
115.16
111.06
111.13
115.96
117.57
114.69
119.42
118.4
123.32
123.39
127.04
129.35
127.12
122.1
120.22
121.53
119.01
114.27
114.46

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234955&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234955&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234955&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 time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Univariate Dataseries
Name of dataseriesConsumentenprijzen vers fruit
SourceStatline
Descriptionvers fruit consumentenprijzen
Number of observations216

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Consumentenprijzen vers fruit \tabularnewline
Source & Statline \tabularnewline
Description & vers fruit consumentenprijzen \tabularnewline
Number of observations & 216 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234955&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Consumentenprijzen vers fruit[/C][/ROW]
[ROW][C]Source[/C][C]Statline[/C][/ROW]
[ROW][C]Description[/C][C]vers fruit consumentenprijzen[/C][/ROW]
[ROW][C]Number of observations[/C][C]216[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234955&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234955&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:

Univariate Dataseries
Name of dataseriesConsumentenprijzen vers fruit
SourceStatline
Descriptionvers fruit consumentenprijzen
Number of observations216


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Consumentenprijzen vers fruit ; par2 = Statline ; par3 = vers fruit consumentenprijzen ; par4 = 12 ;
Parameters (R input):
par1 = Consumentenprijzen vers fruit ; par2 = Statline ; par3 = vers fruit consumentenprijzen ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'vers fruit consumentenprijzen'
par2 <- 'Statline'
par1 <- 'Consumentenprijzen vers fruit'
if (par4 != 'No season') {
par4 <- as.numeric(par4)
if (par4 < 4) par4 <- 12
}
summary(x)
n <- length(x)
bitmap(file='test1.png')
if (par4=='No season') {
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
axis(1,at=seq(1,n,10))
}
if (par4!='No season') {
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n')
axis(1,at=seq(1,n,par4))
grid(nx=0,ny=NULL,col='black')
abline(v=seq(1,n,par4),col='black',lty='dotted')
}
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Univariate Dataseries',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Name of dataseries',header=TRUE)
a<-table.element(a,par1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Source',header=TRUE)
a<-table.element(a,par2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of observations',header=TRUE)
a<-table.element(a,length(x))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')