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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationWed, 17 Sep 2014 12:31:44 +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/2014/Sep/17/t1410953603bniwt32j8vxxmrj.htm/, Retrieved Mon, 13 May 2024 21:07:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235818, Retrieved Mon, 13 May 2024 21:07:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact178
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [] [2014-09-17 11:31:44] [1b1e43390f81e2233427cd22b8161931] [Current]
- R P     [Univariate Data Series] [] [2014-09-18 13:29:36] [94f95ef037a5ad1df99581667eb46a7c]
- RMP       [Kernel Density Estimation] [] [2014-09-26 12:25:51] [94f95ef037a5ad1df99581667eb46a7c]
- RMP       [Histogram] [] [2014-09-26 12:27:45] [94f95ef037a5ad1df99581667eb46a7c]
- R P         [Histogram] [] [2014-10-01 11:34:17] [94f95ef037a5ad1df99581667eb46a7c]
- R P         [Histogram] [] [2014-12-12 10:41:19] [94f95ef037a5ad1df99581667eb46a7c]
- R P         [Histogram] [] [2014-12-12 10:42:31] [94f95ef037a5ad1df99581667eb46a7c]
-   P           [Histogram] [] [2014-12-12 10:44:43] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD          [Quartiles] [] [2014-12-12 11:04:30] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD          [Quartiles] [] [2014-12-12 11:10:28] [94f95ef037a5ad1df99581667eb46a7c]
- R P       [Univariate Data Series] [] [2014-10-01 06:29:00] [94f95ef037a5ad1df99581667eb46a7c]
- R P       [Univariate Data Series] [] [2014-10-01 06:29:00] [94f95ef037a5ad1df99581667eb46a7c]
- RMP       [Histogram] [] [2014-10-01 10:57:54] [94f95ef037a5ad1df99581667eb46a7c]
-   P       [Univariate Data Series] [] [2014-10-01 11:02:03] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD      [Quartiles] [] [2014-10-01 16:32:59] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD      [Notched Boxplots] [] [2014-10-01 16:35:28] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD      [Notched Boxplots] [] [2014-10-01 16:38:17] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD      [Harrell-Davis Quantiles] [] [2014-10-01 16:54:09] [94f95ef037a5ad1df99581667eb46a7c]
-   PD        [Harrell-Davis Quantiles] [] [2014-12-13 12:24:30] [94f95ef037a5ad1df99581667eb46a7c]
- R  D        [Harrell-Davis Quantiles] [] [2014-12-13 12:25:58] [94f95ef037a5ad1df99581667eb46a7c]
-   PD        [Harrell-Davis Quantiles] [] [2014-12-13 12:29:30] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD      [Harrell-Davis Quantiles] [] [2014-10-01 16:59:09] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD      [Quartiles] [] [2014-10-07 06:11:06] [94f95ef037a5ad1df99581667eb46a7c]
- RMP       [Central Tendency] [] [2014-10-10 09:19:17] [94f95ef037a5ad1df99581667eb46a7c]
- RMP       [Mean versus Median] [] [2014-10-10 09:31:44] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD      [Central Tendency] [] [2014-10-10 09:40:19] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD      [Mean versus Median] [] [2014-10-10 09:50:06] [94f95ef037a5ad1df99581667eb46a7c]
- RMP       [Mean Plot] [] [2014-10-10 09:56:31] [94f95ef037a5ad1df99581667eb46a7c]
- RMPD      [Mean Plot] [] [2014-10-10 10:14:01] [94f95ef037a5ad1df99581667eb46a7c]
- RMP       [(Partial) Autocorrelation Function] [] [2014-10-19 11:28:43] [94f95ef037a5ad1df99581667eb46a7c]
- RMP       [(Partial) Autocorrelation Function] [] [2014-10-19 11:31:43] [94f95ef037a5ad1df99581667eb46a7c]
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Dataseries X:
122.5
123.1
123.1
124.4
124.4
124.6
124.5
125.9
125.9
125.9
125.9
125.9
125.9
128.2
129.3
129.3
129.3
129.3
129.4
129.6
129.6
129.6
130
130
129.4
130.2
130.2
130.2
130.3
130.3
130.3
130.7
130.7
130.7
130.9
130.9
130.9
131.2
131.8
131.8
131.8
131.9
132
132.3
132.3
132.4
132.8
132.8
132.8
133
133.5
133.5
134.4
134.4
134.5
134.6
135.6
135.6
135.6
135.6
135.6
135.7
136.2
136.2
136.2
136.2
136.2
136.3
136.3
136.3
136.3
136.3
136.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235818&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235818&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235818&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Univariate Dataseries
Name of dataseriesloonkosten bouwsector
Sourcehttp://statline.cbs.nl/StatWeb/publication/?DM=SLNL&PA=70640ned&D1=1&D2=1&D3=12&D4=0&D5=16,164-166,168-174,176-178,181-183,185-187,189-191,193-195,198-200,202-204,206-208,210-212,215-217,219-221,223-225,227-229,232-234,236-238,240-242,244-246,249-251,253-255,257-259,261-263,266-268,270-272,274-275&HDR=T,G3,G2,G1&STB=G4&VW=T
Descriptionde maandelijkse loonkost indexcijfers
Number of observations73

\begin{tabular}{lllllllll}
\hline
Univariate Dataseries \tabularnewline
Name of dataseries & loonkosten bouwsector \tabularnewline
Source & http://statline.cbs.nl/StatWeb/publication/?DM=SLNL&PA=70640ned&D1=1&D2=1&D3=12&D4=0&D5=16,164-166,168-174,176-178,181-183,185-187,189-191,193-195,198-200,202-204,206-208,210-212,215-217,219-221,223-225,227-229,232-234,236-238,240-242,244-246,249-251,253-255,257-259,261-263,266-268,270-272,274-275&HDR=T,G3,G2,G1&STB=G4&VW=T \tabularnewline
Description & de maandelijkse loonkost indexcijfers \tabularnewline
Number of observations & 73 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235818&T=1

[TABLE]
[ROW][C]Univariate Dataseries[/C][/ROW]
[ROW][C]Name of dataseries[/C][C]loonkosten bouwsector[/C][/ROW]
[ROW][C]Source[/C][C]http://statline.cbs.nl/StatWeb/publication/?DM=SLNL&PA=70640ned&D1=1&D2=1&D3=12&D4=0&D5=16,164-166,168-174,176-178,181-183,185-187,189-191,193-195,198-200,202-204,206-208,210-212,215-217,219-221,223-225,227-229,232-234,236-238,240-242,244-246,249-251,253-255,257-259,261-263,266-268,270-272,274-275&HDR=T,G3,G2,G1&STB=G4&VW=T[/C][/ROW]
[ROW][C]Description[/C][C]de maandelijkse loonkost indexcijfers[/C][/ROW]
[ROW][C]Number of observations[/C][C]73[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235818&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235818&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 dataseriesloonkosten bouwsector
Sourcehttp://statline.cbs.nl/StatWeb/publication/?DM=SLNL&PA=70640ned&D1=1&D2=1&D3=12&D4=0&D5=16,164-166,168-174,176-178,181-183,185-187,189-191,193-195,198-200,202-204,206-208,210-212,215-217,219-221,223-225,227-229,232-234,236-238,240-242,244-246,249-251,253-255,257-259,261-263,266-268,270-272,274-275&HDR=T,G3,G2,G1&STB=G4&VW=T
Descriptionde maandelijkse loonkost indexcijfers
Number of observations73



Parameters (Session):
par1 = loonkosten bouwsector ; par2 = http://statline.cbs.nl/StatWeb/publication/?DM=SLNL&PA=70640ned&D1=1&D2=1&D3=12&D4=0&D5=16,164-166,168-174,176-178,181-183,185-187,189-191,193-195,198-200,202-204,206-208,210-212,215-217,219-221,223-225,227-229,232-234,236-238,240-242,244-246,249-251,253-255,257-259,261-263,266-268,270-272,274-275&HDR=T,G3,G2,G1&STB=G4&VW=T ; par3 = de maandelijkse loonkost indexcijfers ; par4 = 12 ;
Parameters (R input):
par1 = loonkosten bouwsector ; par2 = http://statline.cbs.nl/StatWeb/publication/?DM=SLNL&PA=70640ned&D1=1&D2=1&D3=12&D4=0&D5=16,164-166,168-174,176-178,181-183,185-187,189-191,193-195,198-200,202-204,206-208,210-212,215-217,219-221,223-225,227-229,232-234,236-238,240-242,244-246,249-251,253-255,257-259,261-263,266-268,270-272,274-275&HDR=T,G3,G2,G1&STB=G4&VW=T ; par3 = de maandelijkse loonkost indexcijfers ; par4 = 12 ;
R code (references can be found in the software module):
par4 <- '12'
par3 <- 'de maandelijkse loonkost indexcijfers'
par2 <- 'http://statline.cbs.nl/StatWeb/publication/?DM=SLNL&PA=70640ned&D1=1&D2=1&D3=12&D4=0&D5=16,164-166,168-174,176-178,181-183,185-187,189-191,193-195,198-200,202-204,206-208,210-212,215-217,219-221,223-225,227-229,232-234,236-238,240-242,244-246,249-251,253-255,257-259,261-263,266-268,270-272,274-275&HDR=T,G3,G2,G1&STB=G4&VW=T'
par1 <- 'loonkosten bouwsector'
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')