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 computationThu, 09 Jul 2009 10:51:52 -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/Jul/09/t12471583146m0vkdg9f29t5tf.htm/, Retrieved Sat, 18 May 2024 16:46:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42347, Retrieved Sat, 18 May 2024 16:46:34 +0000
QR Codes:

Original text written by user:This computation is used in the tutorial.
IsPrivate?No (this computation is public)
User-defined keywordstutorial, sample.1
Estimated Impact206
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [R console] [Tutorial Sample 1] [2009-07-09 16:51:52] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
Feedback Forum

Post a new message
Dataseries X:
0.0984925426600135	-2.84210080860945
-3.19322417547575	-0.108792442868191
-0.0666271257800098	0.882823255570303
1.18063280321597	-1.36503288261850
-2.3803429175797	1.56913494409552
-0.395595211026753	1.71755943409010
0.68256987381883	1.23519601492493
0.695451593996436	-1.15292429799292
-2.61194632595955	-0.0747713801759176
-1.40289900994828	-1.10830408454899
-0.544432257406389	-0.682726302473614
-1.76598302095648	-1.49943805061235
-0.853922867606386	0.28527285144689
1.12238531266937	-0.366560701144654
-0.31953138373852	-0.51706542005673
-0.597444736969574	-0.706250645781588
-0.081797539741288	-0.406312967286986
-0.996174144752856	0.481261304079344
0.136322762581828	0.490228677150172
-0.324811650364908	-0.0297583369524186
-1.22556089238082	-1.71426941611089
-0.703784374902881	-0.79484063924557
1.06228949202200	0.372719638497268
1.06200372447075	0.656499549459895
0.704969187354907	0.773580966482494
-0.764943083423531	-0.162579127287588
-0.288349262178128	-0.366635532424699
-0.614392956255724	1.18539702425004
0.340001374708241	1.80121229209784
-1.01138294006798	-0.970425155277038
0.564855566663895	0.564073585073756
0.473305362778216	0.82840522877101
0.514792568431529	-1.76703989362781
-0.690347101169251	-0.192527513249738
-0.102979555663601	-0.726979092580789
-0.344298254401635	-2.07805749564920
-1.52021151154742	0.3419510295594
1.57069064546504	0.217564530097772
-0.995063712370248	1.35592038666309
0.124079982324069	0.574836763988332
-3.83442593520861	-0.128998123043678
1.68529772820844	-0.477608406067771
-1.11494096265913	2.19648942405217
0.0530298502803937	-0.267689774221168
0.343969116075049	-1.15249966589909
-0.650595855377119	0.227906721323714
-0.709223777806932	2.02680843881315
-1.10277454391924	-0.390788639932783
1.47143729528824	0.638674040213693
0.247846390993265	-0.914971804855574
RC 1.0.1-r17> first_number = 5


RC 1.0.1-r17> second_number = 7


RC 1.0.1-r17> strpar = 'main title'


RC 1.0.1-r17> {
...    myfun <- function(x, y) {
...        x + y
...    }
...    plot(RCx, main = strpar, xlab = 'my xlab', ylab = 'my ylab')
...     .... [TRUNCATED] 
[1] 12

Parameters (Session):
par1 = 5 ; par2 = 7 ; par3 = maintitle ;
Parameters (R input):
R code (body of R function):
{
myfun <- function(x, y) {
x + y
}

plot(x, main = par3, xlab = "my xlab", ylab = "my ylab")


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


pairs(x, main = "pairs plot")

print(myfun(par1, par2))
}