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Description of Statistical Computation

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, 20 May 2010 12:11:13 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/May/20/t1274357474qzky2oqd2o33g80.htm/, Retrieved Wed, 01 May 2024 00:21:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=76223, Retrieved Wed, 01 May 2024 00:21:45 +0000
QR Codes:

Original text written by user:This example is used in the manual files of the RC package.
IsPrivate?No (this computation is public)
User-defined keywordsblogtest
Estimated Impact244

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [R console] [correlation test] [2010-05-20 12:11:13] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-1.87133071317958	1.73453902805104
-0.426772691475442	0.391743026958578
0.173248576063434	-0.663642662340445
-1.20211908004035	0.266650237221081
0.110554377104077	0.724277889013119
-0.584567864661603	1.18098283804906
-1.2414765632646	0.202342895805145
-0.180162655085526	-1.02983423605531
0.997667866364666	0.479362710252987
0.876131698019883	-1.83877693114031
-0.136817284394659	2.36102504496192
-0.389267130140999	0.0310225529215209
-1.75681431513785	-0.781915690875951
-0.613477321110985	-0.00124795373683329
0.0182918441639314	-0.325030467929078
-0.393338617851453	-1.52322027252478
0.201618783470415	2.33583497596917
1.23849803611477	1.01511767279272
1.51188829764427	0.59448367838127
-0.194478869919112	-1.3093439566602
0.043423947260836	0.771859051027305
-0.754670910952608	-0.28153309288691
1.81532569644161	1.20430986469411
-1.10223610780947	0.14444506872984
0.93657438721938	-1.14956814030633
0.591160247245489	-0.860726715405021
-1.34445224425019	-0.388688582023819
0.0719809901538183	0.897125666975064
-1.08488716262666	0.157203361844083
1.10255065045532	-0.0654238429183664
0.0566901366724585	-2.51181532567996
-0.941003635616579	-1.06867951512642
0.247664414808435	0.570594570774287
0.578156110799626	-0.799024490468245
-0.186650820818671	-0.720419103453819
-1.42194221902808	0.575379000326387
-0.912009672787537	1.63943413222915
-0.23055140887528	1.33636869465919
-0.562842058792005	-0.300532766666318
-0.0192544401759524	0.0125600307303598
1.19361702686074	0.734741941436982
0.226080139172586	-0.910766618986843
-0.373872822327926	0.756298100852919
0.791468441826496	-1.90838734697183
0.75635256410981	0.354297665348886
0.310633549067398	-0.507923792266491
-0.478358090336383	-0.880559694001014
1.03434726911947	0.390316594295309
0.678430802114728	2.34307607885717
-0.812201835873736	0.745003289437628

Tables (Output of Computation)

> title = 'my title'


> {
+     plot(RCx$X1, RCx$X2, main = title)
+     res <- cor.test(RCx$X1, RCx$X2)
+     print(res)
+ }

	Pearson's product-moment correlation

data:  RCx$X1 and RCx$X2 
t = -0.1173, df = 48, p-value = 0.9071
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.2938908  0.2626575 
sample estimates:
        cor 
-0.01692783

Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 'mytitle' ;
Parameters (R input):
R code (body of R function):
{
    
    plot(x$X1, x$X2, main = par1)
    
    res <- cor.test(x$X1, x$X2)
    print(res)
}