Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 31 Jul 2017 11:34:41 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jul/31/t1501493805n978gv9dp7z1arj.htm/, Retrieved Wed, 15 May 2024 12:58:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=306832, Retrieved Wed, 15 May 2024 12:58:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact140
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [teken en beschrij...] [2017-07-31 09:34:41] [7f8e680169e3605c7c9c65666ad372ce] [Current]
Feedback Forum

Post a new message
Dataseries X:
€209.704.00
€208.923.00
€208.131.00
€206.492.00
€222.706.00
€221.848.00
€209.704.00
€201.630.00
€202.411.00
€202.411.00
€203.280.00
€204.842.00
€207.273.00
€207.273.00
€205.711.00
€201.630.00
€222.706.00
€225.918.00
€221.067.00
€209.704.00
€214.566.00
€207.273.00
€210.562.00
€212.135.00
€213.774.00
€209.704.00
€210.562.00
€204.842.00
€222.706.00
€228.349.00
€223.498.00
€214.566.00
€224.279.00
€213.774.00
€223.498.00
€222.706.00
€225.137.00
€216.205.00
€225.918.00
€225.137.00
€239.712.00
€236.423.00
€223.498.00
€216.986.00
€225.918.00
€213.774.00
€222.706.00
€224.279.00
€227.568.00
€220.286.00
€224.279.00
€226.710.00
€235.642.00
€228.349.00
€218.636.00
€208.131.00
€217.855.00
€191.125.00
€204.061.00
€211.343.00
€218.636.00
€208.131.00
€208.131.00
€208.131.00
€213.774.00
€205.711.00
€195.129.00
€186.274.00
€192.698.00
€167.618.00
€182.985.00
€191.917.00
€193.556.00
€184.624.00
€185.405.00
€182.985.00
€191.125.00
€185.405.00
€174.130.00
€165.979.00
€179.762.00
€149.831.00
€169.268.00
€178.123.00
€178.123.00
€167.618.00
€157.905.00
€157.124.00
€165.979.00
€157.905.00
€142.549.00
€131.967.00
€143.330.00
€116.611.00
€140.899.00
€153.824.00
€157.905.00
€148.973.00
€137.687.00
€145.761.00
€148.973.00
€146.542.00
€122.243.00
€110.968.00
€119.031.00
€94.743.00
€119.823.00
€128.755.00
€136.037.00
€123.893.00
€112.530.00
€119.031.00
€122.243.00
€115.819.00
€91.531.00
€80.949.00
€90.662.00
€63.943.00
€93.093.00
€110.968.00




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306832&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=306832&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306832&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
Parameters (R input):
par1 = omzet vorken ; par2 = "niet gekend" ; par3 = de omzet van vorken in euro op jaarbasis ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'de omzet van vorken in euro op jaarbasis'
par2 <- ''niet gekend''
par1 <- 'omzet vorken'
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')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary Statistics of dataseries x',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,paste('
',RC.texteval('summary(x)'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')