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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, 31 Aug 2009 03:22:50 -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/Aug/31/t12517105713udjm2leteqhc5e.htm/, Retrieved Mon, 06 May 2024 12:14:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42975, Retrieved Mon, 06 May 2024 12:14:28 +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 Impact258

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] [2009-08-31 09:22:50] [256f657a32c6b2b7628dddcfa9a822d0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.062620628072033	1.17492693540226
-0.218910553371328	1.63063873634215
-0.799255430569963	1.02986851983746
-0.375641509883614	0.477101577333725
0.568260463256902	0.567069033814834
0.00446062678443318	0.208434606527921
-1.79496686614966	0.76676756924779
0.92742178365916	-0.610566549605752
-1.74909488306546	0.181246035846346
0.82264394199555	2.02238185567701
0.353618147548311	-0.47126987847105
0.636481701382438	0.223429320117248
1.08136511121894	-1.05736958997985
1.84562823109126	-0.429094095667191
0.618608274657146	0.247975274547418
-0.217869401539552	1.48727224064450
-0.617543115991768	-0.0909054319510635
0.338830181816216	-0.990615527768609
0.870530546239463	-1.03687971398727
0.841055853937262	0.179483428262213
0.881461944243476	-1.38097765844285
1.92267406983347	0.547710045260839
0.341989336151173	0.896142007909141
-0.635507038774373	0.142328479963134
-0.0310989662914858	0.812304064080694
-1.15028117702781	-0.716532056926539
-0.735751043431918	0.579701881257419
-2.61834894525991	1.66945930427529
-0.654114034894736	-0.321521831278575
-0.592894099347906	-1.69584746769977
-1.07873525851417	-0.63238157398793
-0.738749479401664	-0.290595808195841
-0.559070175537799	-0.789725074338443
0.584170919160221	1.23933319706663
-1.48167869736054	-1.33088977982083
0.00455670283082064	-0.645683372580236
0.581779286086208	0.0142522905437348
0.00385889127769466	-0.851294385118892
0.796265425182402	-1.09384224989052
-2.11113235688167	1.73039074785106
1.51002696988282	-0.718750727060264
-0.143083336203176	-0.967167932906792
-0.900146730915453	1.24122209323561
1.03890190634824	-0.235261694540777
0.0773585350157889	-0.180886079950629
-0.647133871891485	1.68802426753767
0.777337899483706	-0.586687984839497
-0.601006074311206	1.75528551655149
-0.30785537758525	0.0969377987649744
0.785388982352186	-1.80189996207841

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 = -2.1283, df = 48, p-value = 0.03847
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.52878022 -0.01666863 
sample estimates:
       cor 
-0.2936539

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)
}