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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationTue, 21 Jul 2015 08:37:18 +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/Jul/21/t1437464334dkdx7cjqcfm6yb2.htm/, Retrieved Wed, 15 May 2024 19:53:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279608, Retrieved Wed, 15 May 2024 19:53:53 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [2 STAP 1 HLN] [2015-07-21 07:37:18] [70d22f55a70f3427b60459805adf1606] [Current]
- R P     [Univariate Data Series] [2 STAP 1 HLN] [2015-07-21 07:41:02] [110a48b2e0105bb86f6db58fdf2bbafc]
- RMP     [Histogram] [2 STAP 2 HLN] [2015-07-21 07:43:00] [110a48b2e0105bb86f6db58fdf2bbafc]
- RMP     [Kernel Density Estimation] [2 STAP 4 HLN] [2015-07-21 07:45:48] [110a48b2e0105bb86f6db58fdf2bbafc]
- RMP     [Notched Boxplots] [2 STAP 5 HLN] [2015-07-21 07:53:15] [110a48b2e0105bb86f6db58fdf2bbafc]
- RMP     [Harrell-Davis Quantiles] [2 STAP 6 HLN] [2015-07-21 07:55:28] [110a48b2e0105bb86f6db58fdf2bbafc]
- RMP     [Harrell-Davis Quantiles] [2 STAP 7 HLN] [2015-07-21 07:59:31] [110a48b2e0105bb86f6db58fdf2bbafc]
- RMP     [Central Tendency] [2 STAP 9 HLN] [2015-07-21 08:04:39] [110a48b2e0105bb86f6db58fdf2bbafc]
- RMP     [Mean versus Median] [2 STAP 12 HLN] [2015-07-21 08:10:58] [110a48b2e0105bb86f6db58fdf2bbafc]
- R         [Mean versus Median] [2 STAP 12 HLN] [2015-07-21 08:14:02] [110a48b2e0105bb86f6db58fdf2bbafc]
- RMP       [Mean Plot] [2 STAP 14 HLN] [2015-07-21 08:18:31] [110a48b2e0105bb86f6db58fdf2bbafc]
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Dataseries X:
64800
62400
66000
52800
68400
67200
72000
74400
82800
72000
68400
85200
72000
54000
63600
48000
67200
55200
73200
66000
69600
78000
76800
91200
66000
55200
61200
44400
63600
49200
69600
66000
58800
84000
75600
86400
64800
60000
54000
44400
58800
52800
72000
69600
60000
80400
74400
96000
76800
46800
46800
46800
55200
55200
74400
68400
61200
76800
70800
102000
80400
46800
49200
40800
56400
64800
81600
80400
64800
75600
67200
96000
73200
58800
52800
39600
58800
70800
82800
78000
57600
82800
64800
99600
82800
60000
55200
37200
58800
56400
85200
85200
64800
84000
62400
97200
82800
61200
46800
32400
63600
61200
80400
92400
68400
76800
57600
99600




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279608&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279608&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279608&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 time1 seconds
R Server'George Udny Yule' @ yule.wessa.net







Univariate Dataseries
Name of dataseriesVerkocht HLN
Source
DescriptionAantal verkochte exemplaren HLN
Number of observations108

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & Verkocht HLN \tabularnewline
Source &  \tabularnewline
Description & Aantal verkochte exemplaren HLN \tabularnewline
Number of observations & 108 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279608&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]Verkocht HLN[/C][/ROW]
[ROW][C]Source[/C][C][/C][/ROW]
[ROW][C]Description[/C][C]Aantal verkochte exemplaren HLN[/C][/ROW]
[ROW][C]Number of observations[/C][C]108[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279608&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279608&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Univariate Dataseries
Name of dataseriesVerkocht HLN
Source
DescriptionAantal verkochte exemplaren HLN
Number of observations108



Parameters (Session):
par1 = Verkocht HLN ; par3 = Aantal verkochte exemplaren HLN ; par4 = 12 ;
Parameters (R input):
par1 = Verkocht HLN ; par2 = ; par3 = Aantal verkochte exemplaren HLN ; 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')