Free Statistics

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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, 21 Jul 2009 06:30:22 -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/21/t1248179424qolz09qbm15j88u.htm/, Retrieved Sat, 18 May 2024 15:53:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42380, Retrieved Sat, 18 May 2024 15:53:53 +0000
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Original text written by user:This computation is used in the tutorial.
IsPrivate?No (this computation is public)
User-defined keywordstutorial, sample.1
Estimated Impact237
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [R console] [Tutorial Sample 1] [2009-07-21 12:30:22] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataseries X:
0.503140133534359	-1.09036940474723
1.02628782840365	-1.56241363779876
0.857482117871175	-0.430504144780696
2.08722403683173	1.10766639744747
-1.39189278402237	-0.0725937372397294
-0.42583796250288	1.17648503094921
-1.63769689155953	-0.692168216461429
-0.226723968433443	0.55360803493981
-1.35934295052209	-0.281938642327998
-2.76362659940029	1.44940196320694
-0.25042262446091	0.644498526585659
-1.37097337254234	1.36347331510461
0.0721827821439972	0.701744543011758
-0.520515569074843	-0.35213149201446
0.333658506264107	1.45610122083158
1.10998697082768	1.67532643424203
-1.38406958018692	0.93024295668478
-0.0646249199225753	0.495279081791104
0.307356993181252	0.292644321880828
1.53102992949817	2.06478194120867
0.246134792176907	-0.231904140877915
-0.463445505769942	0.524532843480574
0.0826441263631753	0.421088649804614
-2.34166737177109	0.0535969395663543
-0.549241091097916	-1.16308597562510
-0.74535580889003	0.177282254985397
-0.634579227311761	-1.16609439507151
1.60663945745938	-0.455885819181523
0.381087996145789	-0.0876106318251849
-0.51882060575655	-0.169501249996659
-0.180653145004701	-0.535302609160717
-0.424077291016305	-0.175728554434138
-1.04906041038933	0.153800811686238
-0.088639501486462	1.87520169938816
0.175025438137739	-0.719362417584472
-0.0436861930308889	-0.113296578712956
-1.01234631585376	-0.83228668573173
-0.424367624495367	-0.00414611353550937
-0.0742952023339881	0.521909412231691
0.821066576615022	-0.268592244137806
-1.66135563765645	-0.405458454495011
0.455772347036255	-0.160650556569371
-0.941397199047165	0.114762270119693
0.2462183925762	-0.37196078208437
0.448143282134386	-1.29697802930848
-1.74113033914433	0.197230825228707
-0.965075278052927	0.0290195354065068
-1.3236759072094	-0.500218544884783
-0.371554810411588	-0.619302723082279
-0.127268893883615	-1.10690254056942
RC 1.0.1-r25> first_number = 5


RC 1.0.1-r25> second_number = 7


RC 1.0.1-r25> strpar = 'main title'


RC 1.0.1-r25> {
...    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))
}