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Author's title

Author*Unverified author*
R Software Modulerwasp_univariatedataseries.wasp
Title produced by softwareUnivariate Data Series
Date of computationSun, 17 Feb 2008 03:47:34 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Feb/17/t1203245420toq4nw7jqixo4e4.htm/, Retrieved Fri, 10 May 2024 03:31:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8259, Retrieved Fri, 10 May 2024 03:31:54 +0000
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Original text written by user:Het aantal zelfdodingen met een wapen per jaar van 1915 tot 2004 in Australië
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact265
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Univariate Data Series] [Aantal zelfdoding...] [2008-02-17 10:47:34] [e6054d98fbbc73c68fb360666fa70916] [Current]
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Dataseries X:
1915	4.031.636
1916	3.702.076
1917	3.056.176
1918	3.280.707
1919	2.984.728
1920	3.693.712
1921	3.226.317
1922	2.190.349
1923	2.599.515
1924	3.080.288
1925	2.929.672
1926	2.922.548
1927	3.234.943
1928	2.983.081
1929	3.284.389
1930	3.806.511
1931	3.784.579
1932	2.645.654
1933	3.092.081
1934	3.204.859
1935	3.107.225
1936	3.466.909
1937	2.984.404
1938	3.218.072
1939	282.731
1940	3.182.049
1941	2.236.319
1942	2.033.218
1943	1.644.804
1944	1.627.971
1945	1.677.559
1946	2.330.828
1947	2.493.615
1948	2.257.172
1949	2.655.517
1950	2.298.655
1951	2.600.402
1952	304.523
1953	2.790.583
1954	3.227.052
1955	2.967.479
1956	2.938.817
1957	3.277.961
1958	3.423.985
1959	3.072.646
1960	2.754.253
1961	2.910.431
1962	3.174.369
1963	3.068.387
1964	3.089.543
1965	2.906.654
1966	2.931.161
1967	302.566
1968	2.939.551
1969	2.691.019
1970	319.812
1971	307.639
1972	2.863.873
1973	3.013.802
1974	3.053.364
1975	2.864.753
1976	3.057.062
1977	2.959.365
1978	3.252.258
1979	3.602.988
1980	3.497.704
1981	3.296.867
1982	3.602.417
1983	3.3001 0
1984	340.193
1985	3.502.591
1986	3.402.348
1987	3.498.551
1988	3.199.823
1989	2.700.064
1990	2.801.034
1991	2.898.628
1992	2.800.854
1993	2.399.942
1994	2.402.724
1995	2.202.331
1996	2.102.594
1997	1.798.293
1998	1.202.484
1999	1.400.201
2000	1.200.832
2001	1.298.083
2002	1.099.742
2003	1.001.377
2004	0.836174




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8259&T=0

[TABLE]
[ROW][C]Summary of compuational 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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8259&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8259&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001



Parameters (Session):
par1 = Zelfdoding met wapen ; par2 = Time Series Data Library ; par3 = Aantal zelfdodingen met wapen van 1915 tot 2004 ;
Parameters (R input):
par1 = Zelfdoding met wapen ; par2 = Time Series Data Library ; par3 = Aantal zelfdodingen met wapen van 1915 tot 2004 ;
R code (references can be found in the software module):
bitmap(file='test1.png')
plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab)
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')