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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationMon, 08 Aug 2016 20:25:41 +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/Aug/08/t1470684399fkhqg9l31flhyvc.htm/, Retrieved Mon, 29 Apr 2024 11:29:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296097, Retrieved Mon, 29 Apr 2024 11:29:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact154

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] [omzet lego technique] [2016-08-08 19:25:41] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-    D    [Univariate Data Series] [omzet lego technique] [2016-08-08 19:29:10] [74be16979710d4c4e7c6647856088456]
- RMPD    [Histogram] [frequentietabel l...] [2016-08-08 19:35:00] [74be16979710d4c4e7c6647856088456]
- RMPD    [Notched Boxplots] [boxplot omzet leg...] [2016-08-08 21:44:10] [74be16979710d4c4e7c6647856088456]
- RMPD    [Harrell-Davis Quantiles] [Harrel-Davis quan...] [2016-08-08 22:07:37] [4c392b130fccc63297597dd6ffb6df17]
- RM        [Central Tendency] [central tendency ...] [2016-08-08 22:19:17] [4c392b130fccc63297597dd6ffb6df17]
- RM        [Mean Plot] [mean plot lego te...] [2016-08-08 22:33:02] [4c392b130fccc63297597dd6ffb6df17]
- RM D      [(Partial) Autocorrelation Function] [partial autocorre...] [2016-08-09 10:29:16] [4c392b130fccc63297597dd6ffb6df17]
- RM D        [Standard Deviation Plot] [standard deviatio...] [2016-08-09 10:45:04] [4c392b130fccc63297597dd6ffb6df17]
- RM D        [Standard Deviation-Mean Plot] [standard deviatio...] [2016-08-09 11:25:34] [4c392b130fccc63297597dd6ffb6df17]
- R P       [Harrell-Davis Quantiles] [Harrel-Davis Deci...] [2016-08-11 23:22:35] [4c392b130fccc63297597dd6ffb6df17]
- R  D        [Harrell-Davis Quantiles] [Harrel-Davis Deci...] [2016-08-12 00:14:25] [4c392b130fccc63297597dd6ffb6df17]
- R P       [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2016-08-11 23:26:17] [4c392b130fccc63297597dd6ffb6df17]
- R PD        [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2016-08-12 00:19:30] [4c392b130fccc63297597dd6ffb6df17]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
€2421.21
€2378.63
€2336.00
€2250.79
€3113.00
€3070.38
€2421.21
€1990.13
€2032.71
€2032.71
€2075.33
€2165.17
€1904.92
€1644.25
€1430.79
€1430.79
€2250.79
€2336.00
€1686.83
€952.46
€1340.96
€1340.96
€1644.25
€1819.29
€1776.67
€1340.96
€1559.04
€1473.42
€2207.79
€2032.71
€1340.96
€824.25
€1298.33
€1430.79
€1559.04
€1729.46
€1383.54
€1084.92
€1213.17
€1255.75
€2378.63
€2378.63
€1729.46
€1644.25
€1904.92
€1776.67
€2122.58
€2553.67
€2639.29
€2032.71
€1861.88
€1686.83
€2856.96
€2942.58
€2724.50
€2942.58
€2899.54
€2553.67
€2942.58
€3373.67
€3548.71
€3027.79
€2681.88
€2942.58
€4065.42
€4411.33
€4326.13
€4496.50
€4453.92
€4022.83
€4757.21
€4932.25
€5188.29
€4411.33
€4108.04
€4453.92
€5278.13
€6012.50
€5837.46
€5837.46
€5923.08
€5624.00
€6401.42
€6401.42
€6268.96
€5534.17
€5666.63
€5752.25
€6315.79
€7050.17
€6529.21
€6789.92
€6571.83
€6444.00
€7439.08
€7221.00
€6917.71
€6486.63
€6917.71
€7135.79
€7396.04
€7741.92
€7396.04
€7609.50
€7349.21
€7306.63
€8386.88
€8476.71
€8130.83
€7524.29
€8041.00
€8258.67
€8519.33
€8907.83
€8519.33
€8822.63
€8690.17
€8216.04
€9211.08
€9211.08

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=296097&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=296097&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296097&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


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = lego technique jaaromzet ; par2 = niet gekend ; par3 = maandelijkse omzet lego technique ; par4 = 12 ;
Parameters (R input):
par1 = lego technique jaaromzet ; par2 = niet gekend ; par3 = maandelijkse omzet lego technique ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'maandelijkse omzet lego technique'
par2 <- 'niet gekend'
par1 <- 'lego technique jaaromzet'
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')