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 computationSat, 13 Dec 2008 08:50:00 -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/13/t1229183402brrxio2szolqgxe.htm/, Retrieved Sun, 19 May 2024 03:58:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=33161, Retrieved Sun, 19 May 2024 03:58:25 +0000
QR Codes:

Original text written by user:no comments
IsPrivate?No (this computation is public)
User-defined keywordskey1,key2
Estimated Impact134
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [R console] [test] [2008-12-13 15:50:00] [9871d3a2c554b27151cacf1422eec048] [Current]
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Dataseries X:
-0.443134845986966	0.348820827218245
1.51884963011547	-2.32285811249102
1.75883505415123	0.486393054521504
-0.558514318949694	0.616311601703021
-0.0734621217682086	-1.22332757382773
0.921900953169388	0.586498920016743
0.572766162444037	-0.0324762811292378
-0.224289228534804	0.788913917202604
-1.53852301950316	1.82086846149691
-0.199180675529879	-0.0356828746956288
0.508040138458684	-0.592092349580005
-1.60132559690406	0.573828406780764
-0.158129967419165	0.233368189299115
-0.628963393200056	-0.0681726482507766
0.984912842946145	-0.120078914111492
0.883118316991104	0.114907052439672
0.426579216809079	0.49573577284764
-2.60484930767872	1.67792491998533
0.385708303611437	-0.655292614674739
0.255118149676870	1.45491554910579
1.69654397331573	0.506917615695583
-1.70395506373733	-1.42423763612326
0.481928321765707	-0.377256663740654
0.178766852668148	-0.765321473170794
-0.187693821209947	1.10000177017115
-1.76937553195631	0.712749085322337
0.113270620720662	-0.996666999809798
-0.692586163789349	-0.0992275726604955
1.69301805020742	2.23237261712147
-0.208035987316241	0.949106072800868
-0.74321756386177	-0.229975263469847
1.02972494298261	0.317189348318531
0.308454678139745	0.606089111826616
1.06944365053069	0.173967249860784
-0.828159184979274	0.126097170773882
-0.152680619532189	-1.28033145096907
0.189729797488266	0.340379652134014
-1.11818847994502	-0.846435535527284
0.701022610811193	-0.880728532048593
1.19889853763853	0.970460273148775
1.77526622208689	0.0489912138430613
-0.497390807892202	0.63040980533415
-0.239507047723899	-0.836478721877383
1.18241171986920	-0.154787632364649
1.23944161288426	-0.851441372009932
-0.0762132004917064	0.162942195919548
-0.116929488491406	0.333409494395167
-0.452286192345506	-1.24507308984487
-0.00376655815757903	-2.55677363502496
-0.069066334972017	-0.743543271888442
> 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))
}