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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 computationMon, 07 Sep 2009 12:34:32 -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/07/t12523484747i7l9ycoiu1i9ro.htm/, Retrieved Sat, 27 Apr 2024 02:46:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42979, Retrieved Sat, 27 Apr 2024 02:46:38 +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 Impact234

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] [2009-09-07 18:34:32] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.598573316835919	-1.84194941455738
2.27859088991149	-0.629742239835913
-0.76162914817628	-0.505116464841508
0.273041836855164	-1.34637128532898
-0.435914555691115	-0.930482860765712
0.182638168626448	-0.692856450948986
-1.02919322782168	0.706253173165975
1.03747461142860	-0.527427978923677
-0.291530014712963	0.566843029657609
-1.04055442738878	-1.64869952460676
-2.10162192631557	1.06577609886193
1.43275018316068	0.768753229634819
1.51555356597608	0.201211493298829
0.114335613162356	-0.63071999791331
0.648979405611539	0.0355544912614657
-0.489205223280395	-1.30979647005369
-0.474302087650964	0.464003580447259
1.31236992647838	-0.192368640166484
-0.608908599439891	-0.0939404471975892
0.630557859843633	-1.58353482956374
0.288381358525014	0.206726660803982
-0.382732688509350	2.51220021153644
-1.02553056266241	1.63545005627154
-1.30678108189210	1.45313510514297
-0.613047414331522	0.184005957503141
0.482441089239939	1.80778712776217
-0.591263575751589	1.05383326484965
-1.14082678905706	0.840481309361444
0.336207280615927	-0.123559617304188
0.940821826328216	-1.27063218460487
0.714952258286694	-2.03115911036815
0.565913027285637	-0.423829216096664
1.31277338877366	-0.61219412278302
-1.26481575876535	0.973279373624492
-1.97473017492042	-0.140148821534045
1.17195724967850	0.105504057375305
0.134259271320542	1.41283226110765
-0.345049035043514	0.937820555691204
-0.262634106900167	-0.749166594051148
-0.263748632887754	0.853422534238765
0.160511272127508	0.794117000602206
0.288567868057277	0.517371868886052
0.154379264733928	-0.315534489636360
-0.637041242596933	0.935339916113993
1.34646813124195	2.66525654681069
-2.37182739863252	1.53502749339376
-2.01252213754762	-1.46803812522575
-0.464874101280697	-0.83413000031275
0.835984014292486	-0.527133198344045
-0.0737144198787983	0.849547327397198

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 = -1.0975, df = 48, p-value = 0.2779
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.4166598  0.1274402 
sample estimates:
       cor 
-0.1564575

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)
}