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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 computationFri, 04 Sep 2009 05:03:20 -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/Sep/04/t1252062201qmlc7zg5wtaocxh.htm/, Retrieved Mon, 29 Apr 2024 22:36:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42978, Retrieved Mon, 29 Apr 2024 22:36:25 +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 Impact261

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] [2009-09-04 11:03:20] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.195318556630164	-1.34026188097655
0.833189523838066	-0.582479358437781
0.459218588069904	1.07593848522702
-0.851464293268898	-1.35811096910044
0.0217475464251442	-0.0240034348804741
-0.566921103879656	-0.371029778548940
-0.825131284400369	-0.158901849612410
0.191772048548733	2.30464408155995
0.185991774072335	1.28462518065553
-0.207940105696579	1.51849660089803
-0.871002207784188	0.644157623801728
1.48727373583370	-1.02561899554200
0.682893628191407	1.11140662953725
1.08443042303221	1.15477697004935
-1.28150722465239	-0.782174771675023
1.29805817716355	0.34669536495116
-0.149097264992159	-0.719375616261475
0.617749451913488	-1.65182626329652
-2.22126259051188	-0.458372453372996
-1.50261059293842	0.958369881203464
-0.464920660885446	-0.384491031513721
0.260128337154379	-0.696465845616919
-0.504034574764555	-0.591285339120801
0.139221205277459	-1.66228678008181
-1.48054205222866	-1.50478887085589
-1.39625974393428	-0.871166189701796
0.774298924868677	0.459491454657757
1.88614628395439	1.00814301291040
-0.426802717126795	-0.336175950643805
0.0888583034671628	0.242924524043013
-0.230837734983085	1.07415039342718
0.345725045409046	1.64249682385273
0.101751396496017	-1.33249560501735
0.485471368173327	-0.294076227679069
-3.03200926250989	1.14288684284443
-1.266232769356	1.53538572689354
-1.14874148041058	-0.609356570022525
-0.629279911729056	2.59521903874670
-2.26011288160216	1.40620985372860
0.765314214763132	1.56674488509074
-0.769176685086572	-0.882083606243507
-0.928900796022187	-0.92751136526161
0.506911770205717	-0.0817153202603825
0.453625701637046	0.632181419952343
-1.13452598589110	-0.586206761951814
1.02485138510707	3.14703758047872
1.34414917083172	-0.852465549118429
0.556564263765452	1.95413755216506
0.515995483075011	0.976570541168322
1.48090388258044	0.528322825065961

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 = 0.9311, df = 48, p-value = 0.3564
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.1507353  0.3968357 
sample estimates:
      cor 
0.1332011

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)
}