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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, 28 Jul 2009 16:08:27 -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/29/t1248818908nlkjwbma6asy3qs.htm/, Retrieved Sat, 12 Sep 2026 15:22:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42424, Retrieved Sat, 12 Sep 2026 15:22:36 +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 Impact509

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] [2009-07-28 22:08:27] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.167698157875643	0.128585805877406
-1.27166648698129	0.224028383475311
-0.409267210296097	-0.205208496602628
-2.51006455996522	0.65477769838233
1.21084430535155	1.09880086996651
0.346244694661568	-1.07459429337768
-1.05789226487261	-0.176645785072253
-0.201734738352174	-0.566113560895960
-0.454764987355255	0.202367258768720
1.32332891136775	-2.09725040743443
-0.849783815939303	1.19870791534279
0.377524613813533	0.318442918400162
-1.04385381636503	0.0954739783081889
-0.802076016224185	1.01936255740523
0.901612455312435	-0.499712116021276
0.41878879462004	0.51296752223962
0.238028310807357	0.158577873795645
-2.26706317953902	-0.841884559826959
-0.0523826050930246	1.33660217455155
0.0559955500869793	-0.0720696899061008
1.27670007034395	1.29510296602668
-1.15433149628975	-1.36705537074423
0.517919674928019	-0.0738985887598068
-1.65536118746867	1.05394056252521
-1.58210846911678	0.247946897561322
-0.069688939798707	0.415634414797401
-1.01662249876943	-0.526522941674415
-1.03189352137431	-0.226784748527976
1.06641284502673	-0.119090459969553
-1.73810607166448	0.467847020377473
-1.77660614412138	0.085883476729444
-1.32935163641185	0.579341744128304
-0.886788144862885	0.64047367481587
-0.778100720553998	-0.402265395417499
-0.789424079031658	-1.92837394605025
-1.22314144233604	0.245168741264782
-0.208317667195824	1.00097528275514
1.51529274331996	1.15490336535553
-0.283494101676942	0.80830710668425
0.0387660349791526	-0.181907305275108
-0.99315046527919	0.309455217621773
-0.403998491004056	-0.183645508280740
-1.04118867405437	-0.42985142366764
-0.695080653810786	0.518799695984861
-0.885924953258937	-0.273322659708894
0.80653308268787	-0.365338084287396
0.63391294333764	-0.651200811328586
0.410464597112548	-1.99035463885733
-1.05616789709746	-0.725592015213079
-0.372889402350189	-1.23190753237663

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 = -0.3192, df = 48, p-value = 0.751
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.3202715  0.2353358 
sample estimates:
        cor 
-0.04602694

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)
}