Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSun, 17 Jul 2016 12:11:37 +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/2016/Jul/17/t14687539506i1k6cdl9lgkv9a.htm/, Retrieved Thu, 02 May 2024 03:18:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=295859, Retrieved Thu, 02 May 2024 03:18:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact179
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Omzet Mentos Aardbei] [2016-07-17 11:11:37] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-   P     [Univariate Data Series] [Omzet Mentos Aardbei] [2016-08-02 12:13:56] [74be16979710d4c4e7c6647856088456]
- RMPD      [Histogram] [Omzet Mentos Aardbei] [2016-08-02 12:31:07] [74be16979710d4c4e7c6647856088456]
- RMPD      [Histogram] [] [2016-08-12 09:56:57] [74be16979710d4c4e7c6647856088456]
-   P       [Univariate Data Series] [] [2016-08-12 10:07:18] [74be16979710d4c4e7c6647856088456]
-    D        [Univariate Data Series] [Mentos Aardbei] [2016-08-12 10:18:42] [74be16979710d4c4e7c6647856088456]
- R  D        [Univariate Data Series] [] [2016-08-12 10:23:50] [74be16979710d4c4e7c6647856088456]
- RMP           [Histogram] [] [2016-08-12 10:31:52] [74be16979710d4c4e7c6647856088456]
- RMP             [Kernel Density Estimation] [] [2016-08-12 11:05:45] [74be16979710d4c4e7c6647856088456]
- RMPD            [Quartiles] [] [2016-08-12 11:55:21] [74be16979710d4c4e7c6647856088456]
- RMP           [Histogram] [] [2016-08-12 10:59:21] [74be16979710d4c4e7c6647856088456]
- RMPD          [Notched Boxplots] [] [2016-08-12 13:23:36] [74be16979710d4c4e7c6647856088456]
- RMP           [Harrell-Davis Quantiles] [] [2016-08-12 14:10:41] [74be16979710d4c4e7c6647856088456]
- RMP           [Harrell-Davis Quantiles] [] [2016-08-12 14:26:51] [74be16979710d4c4e7c6647856088456]
- RMPD          [Central Tendency] [] [2016-08-12 14:39:44] [74be16979710d4c4e7c6647856088456]
- RMP           [Mean Plot] [] [2016-08-12 15:18:13] [74be16979710d4c4e7c6647856088456]
- RMP           [(Partial) Autocorrelation Function] [] [2016-08-12 17:19:45] [74be16979710d4c4e7c6647856088456]
- RMP           [(Partial) Autocorrelation Function] [] [2016-08-12 18:07:50] [74be16979710d4c4e7c6647856088456]
- RMP           [Standard Deviation Plot] [] [2016-08-12 18:23:02] [74be16979710d4c4e7c6647856088456]
- RMP           [Standard Deviation-Mean Plot] [] [2016-08-12 19:21:24] [74be16979710d4c4e7c6647856088456]
- RMP           [Classical Decomposition] [] [2016-08-12 19:49:08] [74be16979710d4c4e7c6647856088456]
- RMP           [Exponential Smoothing] [] [2016-08-12 23:14:13] [74be16979710d4c4e7c6647856088456]
Feedback Forum

Post a new message
Dataseries X:
€ 425,25
€ 417,75
€ 410,25
€ 395,25
€ 546,75
€ 539,25
€ 425,25
€ 349,50
€ 357,00
€ 357,00
€ 364,50
€ 380,25
€ 334,50
€ 288,75
€ 251,25
€ 251,25
€ 395,25
€ 410,25
€ 296,25
€ 167,25
€ 235,50
€ 235,50
€ 288,75
€ 319,50
€ 312,00
€ 235,50
€ 273,75
€ 258,75
€ 387,75
€ 357,00
€ 235,50
€ 144,75
€ 228,00
€ 251,25
€ 273,75
€ 303,75
€ 243,00
€ 190,50
€ 213,00
€ 220,50
€ 417,75
€ 417,75
€ 303,75
€ 288,75
€ 334,50
€ 312,00
€ 372,75
€ 448,50
€ 463,50
€ 357,00
€ 327,00
€ 296,25
€ 501,75
€ 516,75
€ 478,50
€ 516,75
€ 509,25
€ 448,50
€ 516,75
€ 592,50
€ 623,25
€ 531,75
€ 471,00
€ 516,75
€ 714,00
€ 774,75
€ 759,75
€ 789,75
€ 782,25
€ 706,50
€ 835,50
€ 866,25
€ 911,25
€ 774,75
€ 721,50
€ 782,25
€ 927,00
€ 1 056,00
€ 1 025,25
€ 1 025,25
€ 1 040,25
€ 987,75
€ 1 124,25
€ 1 124,25
€ 1 101,00
€ 972,00
€ 995,25
€ 1 010,25
€ 1 109,25
€ 1 238,25
€ 1 146,75
€ 1 192,50
€ 1 154,25
€ 1 131,75
€ 1 306,50
€ 1 268,25
€ 1 215,00
€ 1 139,25
€ 1 215,00
€ 1 253,25
€ 1 299,00
€ 1 359,75
€ 1 299,00
€ 1 336,50
€ 1 290,75
€ 1 283,25
€ 1 473,00
€ 1 488,75
€ 1 428,00
€ 1 321,50
€ 1 412,25
€ 1 450,50
€ 1 496,25
€ 1 564,50
€ 1 496,25
€ 1 549,50
€ 1 526,25
€ 1 443,00
€ 1 617,75
€ 1 617,75




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=295859&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=295859&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=295859&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'Gertrude Mary Cox' @ cox.wessa.net



Parameters (Session):
par1 = Omzet Mentos Aardbei ; par2 = niet gekend ; par3 = Omzet van Mentos Aardbei per maand in euro. ; par4 = 12 ;
Parameters (R input):
par1 = Omzet Mentos Aardbei ; par2 = niet gekend ; par3 = Omzet van Mentos Aardbei per maand in euro. ; 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')