Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software ModuleRscript (source code is shown below)
Title produced by softwareR console
Date of computationTue, 26 May 2009 12:45:10 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/26/t12433635121r419r9jl0xii7a.htm/, Retrieved Sat, 04 May 2024 13:57:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40389, Retrieved Sat, 04 May 2024 13:57:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact130
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [R console] [test] [2009-05-26 18:45:10] [21232f297a57a5a743894a0e4a801fc3] [Current]
Feedback Forum

Post a new message
Dataseries X:
-0.338101979982859	1.07560366006595
1.61517817253464	0.27177523963557
1.46623723549711	2.43518963477864
-1.16921145070498	-2.13572328176156
2.04673875489599	-1.14438131839759
1.86245250050615	1.89840382646629
0.197874288603110	0.783699729322663
0.094285661240692	0.752221293367222
0.138190210424811	-0.0359559976882205
1.38554531465189	-0.0986602656243184
1.30045555724086	0.212441987745742
1.34089698233620	0.169312213659954
-0.0961782339845624	1.50103210618458
-0.780074656896415	-1.45015886781091
-1.49438620950872	-0.383409283033484
-0.0309021459333578	-0.517533727086405
0.578577456532813	0.123480943293102
1.28235923764757	0.443567188036232
-0.812132705669072	0.381158010778059
-1.36800191931175	-0.0326032206419685
0.737585964813648	0.0441304953197405
-0.0654184085374901	-0.0156247063669792
1.23601858289255	-1.91776057865065
0.239834635486128	-1.71728404311063
-1.02893474557611	0.563875228911772
0.858361797393027	-1.02322032049525
-0.73398982468841	-0.771034729117318
0.0423415130058404	1.49060953791028
0.417267494715022	-1.41309234648471
-0.940955683846885	-1.08070800349471
0.566055403548737	-0.350116395230149
-0.167916820724795	0.195547719469267
1.30532938911243	-1.83126779101603
0.586751691768974	0.263720646024998
-0.327096086999817	-0.880247971899773
-0.236426376793519	-1.80008644764038
1.03832697699977	0.165300353837405
2.83374625634423	-1.00489529426847
-2.23443492305495	0.42564260464691
-0.781329458547474	0.109872914563844
-0.465957271754763	-1.06600746862589
0.79877650996243	-0.00590484514981881
-1.02270808989335	0.0777656169691661
-1.80536567990662	-0.0939932240781655
0.602706035080329	0.482741424442534
0.92733596084424	1.30858472571284
1.84172786436566	-0.726261882802078
2.87651118307476	-0.554035248045014
-0.701110555634601	1.58828590375430
0.765812752489184	0.62715760014381
> first_number = 5

> second_number = 7

> strpar = 'hello'

> {
+     myfun <- function(x, y) {
+             x + y
+         }
+ 
+     plot(RCx, main = 'main title', xlab = 'my xlab', ylab = 'my ylab')
+      .... [TRUNCATED] 
[1] 12
Parameters (Session):
par1 = 5 ; par2 = 7 ; par3 = hello ;
Parameters (R input):
R code (body of R function):
{
myfun <- function(x, y) {
x + y
}

plot(x, main = "main title", xlab = "my xlab", ylab = "my ylab")


hist(x[, 1], main = "my histogram")


pairs(x, main = "pairs plot")

print(myfun(par1, par2))
}