FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationThu, 17 Dec 2015 13:30:54 +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/2015/Dec/17/t1450359081z1uj4v4f16bnqmi.htm/, Retrieved Thu, 16 May 2024 17:57:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286792, Retrieved Thu, 16 May 2024 17:57:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

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] [spreiding inflatie] [2015-12-17 13:30:54] [f46b37d14f9c0e05137bdc83c34461d3] [Current]
- R  D    [Univariate Data Series] [spreiding interest] [2015-12-17 13:35:19] [d0eafe73d4e650d484ccdc89300f4861]
- RMPD    [Kendall tau Correlation Matrix] [correlatiematrix ...] [2015-12-17 13:40:47] [d0eafe73d4e650d484ccdc89300f4861]
- RMPD    [Pearson Correlation] [Correlatie inflat...] [2015-12-17 13:42:31] [d0eafe73d4e650d484ccdc89300f4861]
- R  D    [Univariate Data Series] [spreiding bbp] [2015-12-17 13:47:38] [d0eafe73d4e650d484ccdc89300f4861]
- R  D    [Univariate Data Series] [spreiding bbp] [2015-12-17 13:49:31] [d0eafe73d4e650d484ccdc89300f4861]
- RMP     [Skewness and Kurtosis Test] [skewness&kurtosis...] [2015-12-17 20:07:55] [d0eafe73d4e650d484ccdc89300f4861]
- RMPD    [Cronbach Alpha] [Cronbach alpha] [2015-12-17 20:08:57] [d0eafe73d4e650d484ccdc89300f4861]
- RMPD    [Notched Boxplots] [boxplot] [2015-12-17 20:11:40] [d0eafe73d4e650d484ccdc89300f4861]
- RMP     [ML Fitting and QQ Plot- Normal Distribution] [distribution infl...] [2015-12-17 20:16:37] [d0eafe73d4e650d484ccdc89300f4861]
- RMPD    [ML Fitting and QQ Plot- Normal Distribution] [distribution inte...] [2015-12-17 20:22:56] [d0eafe73d4e650d484ccdc89300f4861]
- RMPD    [Paired and Unpaired Two Samples Tests about the Mean] [two sample tests ...] [2015-12-17 20:33:06] [d0eafe73d4e650d484ccdc89300f4861]
- RMPD    [Testing Mean with unknown Variance - Critical Value] [hypothesetest] [2015-12-17 21:01:22] [d0eafe73d4e650d484ccdc89300f4861]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.64
0.97
1.92
3.46
3.65
4.40
6.18
5.29
3.27
3.65
9.39
11.80
9.39
5.22
6.84
9.28
13.91
11.83
8.39
3.71
4.19
3.53
3.89
1.46
4.05
4.67
5.20
5.65
2.60
3.26
2.52
2.80
2.73
3.04
1.58
1.67
2.74
3.73
1.14
2.60
1.93
2.97
3.99
2.08
4.28
0.03
2.63
1.63
2.93
1.59
1.58

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=286792&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=286792&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286792&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 dataseries
Source
Description
Number of observations51

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries &  \tabularnewline
Source &  \tabularnewline
Description &  \tabularnewline
Number of observations & 51 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286792&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C][/C][/ROW]
[ROW][C]Source[/C][C][/C][/ROW]
[ROW][C]Description[/C][C][/C][/ROW]
[ROW][C]Number of observations[/C][C]51[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286792&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286792&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 dataseries
Source
Description
Number of observations51


Figures (Output of Computation)

Input Parameters & R Code

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