[R] 'R' Software Output Plagiarism
jrkrideau at inbox.com
Tue Sep 22 18:50:08 CEST 2015
This is just guessing but the reason is probably that the regression output (not including the specific numbers, and your variable names) is standard R output as already noted.
It probably appears in many other theses and dissertations , in books on R, and possibly in appendices in published books and papers reporting research findings.
It, or parts of it, may occur thousands of times on R-help and in R oriented blogs and other documents on the Web. It quite likely shows up on Stack Overflow.
Here is one example it took me about 2 minutes to find.
http://www.montefiore.ulg.ac.be/~kvansteen/GBIO0009-1/ac20092010/Class8/Using%20R%20for%20linear%20regression.pdf. And here's another http://www.princeton.edu/~otorres/Regression101R.pdf.
Have a look at Julian Faraway's pdf "Practical Regression and Anova using R" book in the Contributed section of the R home site at pp -23-24. There it is again.
I think you probably should do a bit of on-line searching and a sweep of some of the Manuals and Contributed materials on the R site and point out to the powers that be that it is not plagiarism, it's just standard R reporting.of regression results.
Kingston ON Canada
> -----Original Message-----
> From: oliver.barrett at skema.edu
> Sent: Tue, 22 Sep 2015 14:27:03 +0000
> To: r-help at r-project.org
> Subject: [R] 'R' Software Output Plagiarism
> Dear 'R' community support,
> I am a student at Skema business school and I have recently submitted my
> MSc thesis/dissertation. This has been passed on to an external
> plagiarism service provider, Urkund, who have scanned my document and
> returned a plagiarism report to my professor having detected 32%
> I have contacted Urkund regarding this issue having committed no such
> plagiarism and they have told me that all the plagiarism detected in my
> document comes from the last 25% which consists only of 'R' regressions
> like the one I have pasted below:
> lm(formula = Prague50 ~ Fed + Fed.t.1. + Fed.t.2. + Fed.t.3. +
> Fed.t.4., data = OLS_CAR, x = TRUE)
> Min 1Q Median 3Q Max
> -0.154587 -0.015961 0.001429 0.017196 0.110907
> Estimate Std. Error t value Pr(>|t|)
> (Intercept) -0.001630 0.001763 -0.925 0.3559
> Fed -0.121595 0.165359 -0.735 0.4627
> Fed.t.1. 0.344014 0.140979 2.440 0.0153 *
> Fed.t.2. 0.026529 0.143648 0.185 0.8536
> Fed.t.3. 0.622357 0.142021 4.382 1.62e-05 ***
> Fed.t.4. 0.291985 0.158914 1.837 0.0671 .
> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
> Residual standard error: 0.0293 on 304 degrees of freedom
> (20 observations deleted due to missingness)
> Multiple R-squared: 0.08629, Adjusted R-squared: 0.07126
> F-statistic: 5.742 on 5 and 304 DF, p-value: 4.422e-05
> I have produced all of these regressions myself and pasted them directly
> from the 'R' software package. My regression methodology is entirely my
> own along with the sourcing and preperation of the data used to produce
> these statistics.
> I would be very grateful if you could provide my with some clarity as to
> why this output from 'R' is reading as plagiarism.
> I would like to thank you in advance,
> Kind regards,
> Oliver Barrett
> (+44) 7341 834 217
> [[alternative HTML version deleted]]
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