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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 computationSun, 20 Mar 2011 18:02:03 +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/2011/Mar/20/t1300643897ttzt5xs85m4728n.htm/, Retrieved Sat, 11 May 2024 09:44:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119778, Retrieved Sat, 11 May 2024 09:44:24 +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 Impact225

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] [2011-03-20 18:02:03] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-0.0675984304167346	-1.0399970182883
-0.320295845623631	0.487171206608469
-1.02299662429368	0.40659201931
-0.574650498155591	-0.187068117956312
-0.0911487173957396	-0.233078036934972
0.0342052015204809	1.11315968882225
1.08938762610434	0.89901264856618
-0.746328034330336	-0.941869890442842
0.076369218397864	-0.233760540531918
-2.10375665128603	-2.18620892904747
-0.350858849639173	0.552207647572275
-0.983068215908437	-0.675063660804589
0.967783072401814	-1.0705760367181
0.45944775983222	0.408917009582918
0.476216217313324	-0.726085048182128
0.334239375547304	0.914072395590253
0.42855264777743	1.62862592734723
-0.911745787545834	-1.74676351243553
1.20500530136854	-1.06511112973477
-1.0608836961548	1.10027098584825
1.22352540257825	-0.965654736060412
-0.542185536358911	-0.584057427242989
0.33611846355707	0.408132901038393
0.895022441559729	1.10291155875313
1.53139740509936	-0.609999149484703
-0.69049391984899	2.00276131092225
-0.233089471157436	-1.2293794547836
0.137502378098706	1.08964218016502
-1.23639480691591	0.651966721874936
0.142216110054084	-0.72364471377501
-0.844813457124898	0.383679868454521
0.603464986359042	-0.725166447619214
0.391266198484394	0.436010348015264
0.467419007692738	-1.18475816355996
-0.544967729482026	-0.789965924936119
0.263240681346912	-0.40810462709285
-1.68661431820211	-1.4982928140783
-1.06306746266923	-0.584817435073333
0.246407266751722	-1.24810788375352
2.28965407064973	-0.308773598938477
-1.12195446020207	-0.318186320085006
0.155307108615895	0.316004724285236
0.391376598667005	-0.958364806604336
-0.604697818974935	1.91152220466624
1.64823701988704	-1.42200075034027
0.16460515169457	-0.495144271556621
0.2542516494254	-0.22610361652952
0.420654212901216	1.02802143922814
1.72058275190608	-1.43741115477542
-0.459241778515479	2.74604999774729

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 = -0.3879, df = 48, p-value = 0.6998
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.3291227  0.2259678 
sample estimates:
        cor 
-0.05589558

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)
}