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, 16 Dec 2008 05:59:42 -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/Dec/16/t1229432384o9emndaxvkjutcc.htm/, Retrieved Wed, 15 May 2024 21:05:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33942, Retrieved Wed, 15 May 2024 21:05:27 +0000
QR Codes:

Original text written by user:no comments
IsPrivate?No (this computation is public)
User-defined keywordskey1,key2
Estimated Impact158
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [R console] [test] [2008-12-16 12:59:42] [d573eeaa84e45ee876d65c9e4f16e753] [Current]
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Dataseries X:
-1.09696821827591	0.684994503828054
0.345412998790708	0.229107393485417
1.99921119158596	1.45987686646266
0.544719554924786	-0.0267936432329688
1.15164874502632	0.342389652851396
-1.75150078776482	-0.306567965698356
-0.476795205158954	-0.593822952803735
-0.346010156899579	0.265019503679157
0.249563787060059	2.4226992390177
1.39925464659567	-1.03348528621078
-0.423052835345844	-0.0265859937221338
0.714549475942451	-0.710519578157083
-0.115323938045860	0.380731721044716
0.708963711073897	-0.818110319351635
0.515712288486497	-0.802699319203642
0.53618244912201	0.0238754293249462
2.62075280519171	-0.530308955735563
-0.294977472941513	-0.191106758709172
1.44266219272649	-0.48046077408225
-1.49218243984991	-2.53942982410377
1.54438392279863	0.739539272524873
-0.432029458219295	0.110389472473488
-0.701201290207867	-1.74849762672008
-0.0321002245596177	-1.06353338755759
1.23188169790633	1.39463695474220
1.38735869910880	1.60024856351166
0.692198277620771	-1.12431108123450
1.49483769964920	-1.38899632353557
-2.37851789483528	-1.82424414875403
-1.18670004479104	-1.30915227107192
0.461873430367167	-1.29898842460766
0.671861058723181	-1.02583650280334
-0.60931111807385	1.62336590876663
0.798885491575253	-0.276465780085589
0.752519284264561	-1.01172770016512
-1.57784166898402	-1.35146126389908
-1.23550987012864	-0.771115153350047
-1.22770515805315	0.315399075036155
-0.315725922796651	0.854867404691286
0.236525365446285	0.113856697289855
-0.818300618411826	-0.93883587175243
-0.0476175777833587	-0.513182781181628
1.19722023201795	-0.161747911227709
2.11475055605253	-0.7736503952587
0.520710693189433	0.670074138247554
0.0995065483498586	-0.547229894463126
-0.273975626599914	-1.47164546913961
-0.428486963484372	0.413272013207556
0.637837188949964	2.03554606905616
1.41166020912930	2.49480090734848
> 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))
}