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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, 21 Sep 2009 08:50:39 -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/21/t1253544641k60fuqexknjzcjg.htm/, Retrieved Thu, 25 Apr 2024 22:51:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42995, Retrieved Thu, 25 Apr 2024 22:51:12 +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 Impact244

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bagplot] [test] [2009-08-13 21:20:56] [b98453cac15ba1066b407e146608df68]
- RMPD    [R console] [correlation test] [2009-09-21 14:50:39] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.35189087599901	-0.622088110118824
-0.566468411080608	0.71679736875826
0.136114637249582	-1.72260772875258
-1.60889021489145	-0.354348233673909
-0.256319691028356	0.0962969893932291
0.850981050290253	-0.597114842284736
0.142685701300297	1.21923003181913
0.0394892672463808	-1.24352181918857
-0.353644533984883	0.337713081332371
0.554667361408628	0.377202109495827
0.99434011813343	-0.6872028370034
0.0898163226360073	0.0103572582494155
-0.523760093791296	-1.08133099756507
-1.52849198574237	0.277455390075179
-0.589124611072013	-0.131350616725644
0.368765642573589	1.64767385473548
0.317405902427201	0.410402024155125
-0.253922874516933	0.0877827576564737
-0.325924309447007	-1.08032348764717
1.14048528820151	-1.00699330642326
0.882258968714324	-0.378403856082946
-1.64576499707177	1.0417820641788
-0.725738687359413	-0.239964219643936
-1.36090035629946	1.35529239096776
0.19560574248837	0.961506931793394
0.576452864458798	1.15695572329145
1.81147513282691	0.867545199206145
-0.642804106968244	2.00792696035877
-1.04621367115577	0.522487461183391
-0.215254717407597	0.531932186003732
1.19759231488225	-0.0342001930955341
0.239926213511352	-0.088784213927647
-0.955245922628636	0.133769283555854
0.60801341381242	1.09535665783017
-0.581840176309735	-0.939377492417975
0.80421222112067	-1.72829833094030
-0.24733047245469	0.275834721441129
0.341056139309372	-0.575080488101285
-0.314129525351868	-1.05672930149256
-0.163084766393368	1.16370370266353
1.13072810647593	-2.26632353605663
-0.0287637851685978	0.909307057933644
-2.66846631436895	-1.41242671613422
-0.984702682281832	-0.70156628783552
-0.261089336676020	1.26214319179003
-0.343822900566092	-0.434497472162846
0.91523869538125	-0.582661355702323
0.323083075598611	0.0584214119751105
1.14299723152046	-1.52859663306669
-0.708540487105108	-0.202364920890372

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 = -1.0008, df = 48, p-value = 0.3219
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.4051964  0.1409843 
sample estimates:
       cor 
-0.1429741

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)
}