Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software ModuleRscript (source code is shown below)
Title produced by softwareR console
Date of computationThu, 02 Jul 2009 08:58:35 -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/02/t12465467161d3s24idxkyeysq.htm/, Retrieved Sat, 18 May 2024 15:29:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42305, Retrieved Sat, 18 May 2024 15:29:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [R console] [test] [2009-07-02 14:58:35] [b768c7adc2675864c15627b87ad9ef22] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.21504353956168	-0.211635070070257
1.07773086840828	-1.84756603469335
-0.961990899760645	-0.659041194403959
0.612556572296148	0.126297527702478
-0.904023108571603	-1.45016953381481
-1.67286020143751	-0.619632832922727
-0.680389739773482	1.26767883880568
-0.219789322820781	-0.316542317537195
0.350315475934222	-1.02173519648339
0.604290569281558	-0.334524582827923
-0.78711203860536	-0.516846885492522
0.839079153971293	0.946743991887601
2.29567301238602	0.173125157813039
-0.0283311682651663	-0.276643922826476
-0.741856677460505	0.811239399989254
-1.16016001718462	0.59092735478794
-2.21320945436812	0.309738841393581
-0.720833613595646	-1.44713824158334
-1.31010121226152	-0.0798265919731649
0.116329418506516	0.0388077907844135
0.399365392859801	0.17856835040233
-1.08038915903389	0.935806880477825
1.56443550383895	0.338603040792365
0.21068663812471	-0.536354741503534
0.631044607409602	0.535391836595907
0.824145875786217	-1.05260872825359
-1.68168138721683	0.921427705618044
0.326676772610807	-0.241877303789405
1.88178799142854	0.402041815153251
-1.00294897550153	-0.174871046227575
-0.345513533753455	0.806145466195087
0.60722054932305	-0.543321376232358
0.299199990070754	-0.119634885834987
0.276637976411443	0.586904363036954
0.790141044618173	-1.21499142527710
0.168573273100909	-0.636797262681397
-0.0606147713801967	-1.26904293460779
-0.719467408335917	-0.0620811402506643
-1.6926013951568	-0.207787710240524
1.00036345266672	1.11796318289573
0.412296040527949	0.906761878186365
-0.415234500444102	-0.207504719383359
-0.563183234658532	0.909196825645577
-1.77758189147441	1.48863318793584
0.633169293023966	-0.397400026042593
-0.0269285975125400	0.850756372359247
2.14448542069025	-0.853779301720051
-1.15775403555446	-0.0440171238283219
-0.871930306970168	-0.659776336432462
0.490120468326297	1.67441169240949
> first_number = 5

> second_number = 7

> strpar = 'main title'

> {
+     myfun <- function(x, y) {
+             x + y
+         }
+ 
+     plot(RCx, main = strpar, xlab = 'my xlab', ylab = 'my ylab')
+     hist(R .... [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))
}