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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 04 Aug 2015 10:43:51 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/04/t1438681457u3cdns3bpov4rsl.htm/, Retrieved Thu, 16 May 2024 13:22:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279838, Retrieved Thu, 16 May 2024 13:22:17 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact135
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2015-08-04 09:43:51] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
jan/05	€ 5.947.968,00
feb/05	€ 5.925.816,00
mrt/05	€ 5.903.352,00
apr/05	€ 5.856.864,00
mei/05	€ 6.316.752,00
jun/05	€ 6.292.416,00
jul/05	€ 5.947.968,00
aug/05	€ 5.718.960,00
sep/05	€ 5.741.112,00
okt/05	€ 5.741.112,00
nov/05	€ 5.765.760,00
dec/05	€ 5.810.064,00
jan/06	€ 5.879.016,00
feb/06	€ 5.879.016,00
mrt/06	€ 5.834.712,00
apr/06	€ 5.718.960,00
mei/06	€ 6.316.752,00
jun/06	€ 6.407.856,00
jul/06	€ 6.270.264,00
aug/06	€ 5.947.968,00
sep/06	€ 6.085.872,00
okt/06	€ 5.879.016,00
nov/06	€ 5.972.304,00
dec/06	€ 6.016.920,00
jan/07	€ 6.063.408,00
feb/07	€ 5.947.968,00
mrt/07	€ 5.972.304,00
apr/07	€ 5.810.064,00
mei/07	€ 6.316.752,00
jun/07	€ 6.476.808,00
jul/07	€ 6.339.216,00
aug/07	€ 6.085.872,00
sep/07	€ 6.361.368,00
okt/07	€ 6.063.408,00
nov/07	€ 6.339.216,00
dec/07	€ 6.316.752,00
jan/08	€ 6.385.704,00
feb/08	€ 6.132.360,00
mrt/08	€ 6.407.856,00
apr/08	€ 6.385.704,00
mei/08	€ 6.799.104,00
jun/08	€ 6.705.816,00
jul/08	€ 6.339.216,00
aug/08	€ 6.154.512,00
sep/08	€ 6.407.856,00
okt/08	€ 6.063.408,00
nov/08	€ 6.316.752,00
dec/08	€ 6.361.368,00
jan/09	€ 6.454.656,00
feb/09	€ 6.248.112,00
mrt/09	€ 6.361.368,00
apr/09	€ 6.430.320,00
mei/09	€ 6.683.664,00
jun/09	€ 6.476.808,00
jul/09	€ 6.201.312,00
aug/09	€ 5.903.352,00
sep/09	€ 6.179.160,00
okt/09	€ 5.421.000,00
nov/09	€ 5.787.912,00
dec/09	€ 5.994.456,00
jan/10	€ 6.201.312,00
feb/10	€ 5.903.352,00
mrt/10	€ 5.903.352,00
apr/10	€ 5.903.352,00
mei/10	€ 6.063.408,00
jun/10	€ 5.834.712,00
jul/10	€ 5.534.568,00
aug/10	€ 5.283.408,00
sep/10	€ 5.465.616,00
okt/10	€ 4.754.256,00
nov/10	€ 5.190.120,00
dec/10	€ 5.443.464,00
jan/11	€ 5.489.952,00
feb/11	€ 5.236.608,00
mrt/11	€ 5.258.760,00
apr/11	€ 5.190.120,00
mei/11	€ 5.421.000,00
jun/11	€ 5.258.760,00
jul/11	€ 4.938.960,00
aug/11	€ 4.707.768,00
sep/11	€ 5.098.704,00
okt/11	€ 4.249.752,00
nov/11	€ 4.801.056,00
dec/11	€ 5.052.216,00
jan/12	€ 5.052.216,00
feb/12	€ 4.754.256,00
mrt/12	€ 4.478.760,00
apr/12	€ 4.456.608,00
mei/12	€ 4.707.768,00
jun/12	€ 4.478.760,00
jul/12	€ 4.043.208,00
aug/12	€ 3.743.064,00
sep/12	€ 4.065.360,00
okt/12	€ 3.307.512,00
nov/12	€ 3.996.408,00
dec/12	€ 4.363.008,00
jan/13	€ 4.478.760,00
feb/13	€ 4.225.416,00
mrt/13	€ 3.905.304,00
apr/13	€ 4.134.312,00
mei/13	€ 4.225.416,00
jun/13	€ 4.156.464,00
jul/13	€ 3.467.256,00
aug/13	€ 3.147.456,00
sep/13	€ 3.376.152,00
okt/13	€ 2.687.256,00
nov/13	€ 3.398.616,00
dec/13	€ 3.651.960,00
jan/14	€ 3.858.504,00
feb/14	€ 3.514.056,00
mrt/14	€ 3.191.760,00
apr/14	€ 3.376.152,00
mei/14	€ 3.467.256,00
jun/14	€ 3.285.048,00
jul/14	€ 2.596.152,00
aug/14	€ 2.296.008,00
sep/14	€ 2.571.504,00
okt/14	€ 1.813.656,00
nov/14	€ 2.640.456,00
dec/14	€ 3.147.456,00




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 0 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279838&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279838&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279838&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 time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net



Parameters (Session):
par4 = 12 ;
Parameters (R input):
par1 = ; par2 = ; par3 = ; par4 = 12 ;
R code (references can be found in the software module):
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')