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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, 11 Aug 2011 20:49:50 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Aug/11/t1313110190znsxvlavkkj6f27.htm/, Retrieved Wed, 15 May 2024 11:55:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123588, Retrieved Wed, 15 May 2024 11:55:53 +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 Impact169

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Spectral Analysis] [] [2009-06-19 08:45:25] [b98453cac15ba1066b407e146608df68]
- RMPD    [R console] [correlation test] [2011-08-12 00:49:50] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.332152515792827	0.976374479186704
-0.614330769880566	-1.19843012606314
0.0616363027322233	0.215263681246974
-1.69101523753683	-1.00211356085047
0.398533315372693	1.22476643693931
0.250793231593509	-0.450770212162553
-0.314191513254141	-0.299314714718148
0.985831242973625	0.637321795015652
-1.47478426883259	1.40416318284392
-0.020002667308986	0.206819929132741
-0.421339738719082	-0.188536981085364
0.010482721618763	1.43622140196327
-0.382281453657436	-1.36073806810164
0.12971416578599	-1.29375876931712
0.495095009441659	-1.11333737685398
0.746312535405677	0.111764956307531
0.560477532194339	-0.9311856581052
-0.538487735494615	-0.649399788873163
1.20498698757616	0.645412760166892
-0.0230474920219155	-0.0579861225263889
-0.356190808872435	-1.22090987774515
0.297161320813187	-1.82870731251744
0.215961653202069	0.724682651584002
-1.18091694509076	-1.51511051001984
1.40780534250598	-0.250919586542212
-0.19227338515672	-0.189706858565682
0.394844669661704	0.0876176737825625
-0.33703607503441	-0.879720685507921
0.771431468619106	0.30429439485184
-0.328048894930019	1.00337381609914
-0.476569680179237	0.953012633883828
-0.444556003401417	0.268429691332547
-0.286209443639025	1.32998745104431
0.22356683992813	-0.734498871339128
-0.641633991999084	-1.13694193367338
0.722177792176487	0.626599004773289
0.238830466398263	0.843564996204491
-0.244220456446172	0.792530925016761
0.410125706460178	-0.526030080733828
-0.339392690498751	1.44405334062806
-0.360029638498035	-0.99399619913523
0.481333181153205	0.852305725275646
-0.165579581120196	0.036648565223216
0.571778479259423	-0.530172512667127
-0.36345211924722	-1.1975811038155
-1.78512657532307	-0.295300288201997
-1.07022404498201	1.21413610177472
0.606039173793578	-0.459327792365496
1.29915451042528	-1.5684053856975
0.044001330696602	0.867475822498516

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 = 0.1217, df = 48, p-value = 0.9036
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.2621  0.2945 
sample estimates:
    cor 
0.01756

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)
}