FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 23 Feb 2016 21:49:06 +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/2016/Feb/23/t1456264314bedn6cvpccl76fv.htm/, Retrieved Mon, 06 May 2024 05:31:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292589, Retrieved Mon, 06 May 2024 05:31:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57

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] [non alcoholische ...] [2016-02-23 21:49:06] [ca27af53963d179bfb9e7ceb75b255dc] [Current]
- RMPD    [Histogram] [histogram-Jan Van...] [2016-02-23 22:12:47] [8104a75764714e5b5fee37c041a48ad4]
- RMPD    [Kernel Density Estimation] [dichtheidsgrafiek...] [2016-02-23 22:14:48] [8104a75764714e5b5fee37c041a48ad4]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90,66
91,08
91,12
91,02
90,58
90,92
91,79
91,97
92,53
92,44
92,7
93,12
94,23
94,18
93,89
94,08
95,59
96,55
97,01
96,87
97,96
97,94
98,57
98,67
98,58
99,04
98,89
98,63
98,52
98,07
98,15
98,4
99,22
99,35
100,05
99,86
100,31
100,7
100,78
99,78
99,55
99,46
99,66
99,43
99,68
100,21
100,31
100,13
100,27
100,23
99,93
100,66
100,55
100,43
101,22
101,07
101,43
101,35
101,58
101,59
102,03
102,48
102,63
103,54
103,97
104,34
104,29
104,17
104,55
104,58
104,74
104,73

Tables (Output of Computation)





\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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
R Engine error message & 
Error in plot.window(...) : need finite 'ylim' values
Calls: plot -> plot.default -> localWindow -> plot.window
In addition: Warning messages:
1: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
2: In min(x) : no non-missing arguments to min; returning Inf
3: In max(x) : no non-missing arguments to max; returning -Inf
Execution halted

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292589&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]
Error in plot.window(...) : need finite 'ylim' values
Calls: plot -> plot.default -> localWindow -> plot.window
In addition: Warning messages:
1: In xy.coords(x, y, xlabel, ylabel, log) : NAs introduced by coercion
2: In min(x) : no non-missing arguments to min; returning Inf
3: In max(x) : no non-missing arguments to max; returning -Inf
Execution halted

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292589&T=0


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Alcohol vrije dranken ; par2 = nbb ; par3 = hoeveel non alcoholische dranken werden gedronken in verhouding tot 2013 op een schaal van 100. ; par4 = 12 ;
Parameters (R input):
par1 = Alcohol vrije dranken ; par2 = nbb ; par3 = hoeveel non alcoholische dranken werden gedronken in verhouding tot 2013 op een schaal van 100. ; par4 = 12 ;
R code (references can be found in the software module):
x <- as.matrix(read.csv(file='https://automated.biganalytics.eu/uploads/temp/gegevens.csv'));
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')