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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 computationTue, 25 May 2010 11:52:42 +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/25/t1274788363lm9zk0g8p12sbaf.htm/, Retrieved Thu, 02 May 2024 08:11:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=76374, Retrieved Thu, 02 May 2024 08:11:35 +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 Impact186

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] [2010-05-25 11:52:42] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.230509046411039	-0.042866718671201
-2.31082192395293	-0.244321407199057
0.732222068842626	-0.655790223556241
2.28283905159608	-0.0640751571452261
2.00782366348172	-1.00751592414554
-0.827672118211085	-0.64707177177761
-1.23887374337283	0.618963935335151
-0.17646936505208	0.324947517468041
0.529560419963756	-0.379845852911057
0.202876458589189	0.450630400351252
-0.0238474906424284	-1.20843383866043
0.53762180401894	0.703154875161168
0.685514609812999	1.77966005701853
-1.34788033021717	-1.6089375775467
-1.27051907578625	0.105551139465803
-3.26194177337972	0.501855410315103
0.803020570880456	-1.43987200455727
1.15231976772956	-1.29821124221559
1.54619332882454	1.81135423552844
-0.497579412429635	-0.151331166160845
-0.758655526719785	-0.248978579819104
-0.28739112691276	-0.762063405191085
0.17291046206872	0.190632924573649
0.84748480536548	1.50435584668708
0.400403585909129	-0.675117793036688
0.144582438785829	-1.0004492201287
0.385810202543451	0.833184267966298
-0.237516878222215	0.910694980863615
1.0454672663579	0.579808723736741
-2.61845825153286	0.280117090323191
-0.626530018793994	1.50868551271527
-0.376420445153667	1.16887450194249
-0.00554110327935942	-0.90736353113176
-0.639426293800777	2.24343919330551
1.69046635027935	0.995050635761575
0.827873825739188	-0.807797247053079
0.598922526505226	-0.932425092951387
0.280986024636217	0.239252447265784
-0.341258314366607	-1.1757833858997
-0.324561872966694	-1.54657339307488
-1.16841288905301	0.730980164361232
-0.353030357884463	-0.454794382828957
0.963196039652825	-0.247456487726979
0.981092231721395	-0.58405933613702
-0.749809670006779	0.57784932242267
-0.204263803333214	-0.635363688066645
0.221001383579793	0.830704745209947
0.492565942706567	-1.25423906100019
-0.0608312234319707	0.296144336400089
0.133946351929447	0.074922028784343

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 = -0.36, df = 48, p-value = 0.7204
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.3255348  0.2297776 
sample estimates:
       cor 
-0.0518888

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)
}