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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 computationWed, 23 Sep 2009 02:36:28 -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/23/t1253694990h4byo93l551q5o0.htm/, Retrieved Thu, 25 Apr 2024 21:40:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43002, Retrieved Thu, 25 Apr 2024 21:40:03 +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] [2009-09-23 08:36:28] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.0752747929419038	0.445012867597297
-0.123412353974473	1.09984481923260
0.120002902259727	1.36647137960826
-1.35053658292852	2.16894717579156
-0.571676764056946	0.336292915277117
-1.51098776061008	-1.39196681381647
-0.0339680161767096	-1.44399716419194
0.814543702256617	-0.115313139566779
0.541166660102328	0.555586494917531
-0.174868135333381	0.817212648403003
-0.483750942196755	-0.354420833135282
-0.788211842330571	-0.769656185529686
0.204979038071055	-0.795822221273572
1.41656318646800	-0.243847320948224
-0.109008084897028	0.465562948143319
1.18222395831435	-0.609463942168565
-0.560405682371226	-0.877882766268052
0.407629172987426	-0.725598552648491
-0.131308106155554	0.731256956837894
0.746977637516748	-1.27504643847720
-0.192726674624296	-0.27403069427519
-0.0575187624922381	-0.512354443577578
-1.15004782006833	0.577958299508744
1.74037188773144	0.361870340013447
0.726991736613092	-1.12680862520773
-0.902879810264574	0.41333714085755
0.796707463193271	-0.286191134765564
-0.148892957435819	0.145797413810037
0.233204495232945	1.6461864974349
-0.208842543780035	-1.30262543024946
0.788044808689377	1.07983243086211
0.0458641388266347	-0.407385023732894
-1.02589445924283	-0.405476373371843
1.82130954019782	0.615786007056339
1.45315085159761	-1.81244690562187
0.857600907203096	0.228121725641797
0.624612557504642	1.56779233183322
-2.3204946869891	1.76288902058181
-0.900647236973285	0.822241751950144
1.22512197076538	-1.01718938316944
-0.610302917569445	-0.69077747281152
-0.160266411347537	-0.978223972565749
0.378246752862298	-2.41424636299287
0.675339440220775	0.633370723422611
-2.53022796005637	-0.399456333779471
-0.265295512565901	1.42100690451811
0.0458909941459843	0.300035309155117
0.0530727065218138	1.23282669412886
1.21213518086334	0.889416378083968
1.29016061145989	-0.345414504444215

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 = -1.0078, df = 48, p-value = 0.3186
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.4060330  0.1400027 
sample estimates:
       cor 
-0.1439548

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)
}