[R] 'R' Software Output Plagiarism
bgunter.4567 at gmail.com
Tue Sep 22 18:01:15 CEST 2015
1. It is highly unlikely that we could be of help (unless someone else
has experienced this and knows what happened). You will have to
contact the Urkund people and ask them why their algorithms raised the
2. But of course, the regression methodology is not "your own" -- it's
just a standard tool that you used in your work, which is entirely
legitimate of course.
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
-- Clifford Stoll
On Tue, Sep 22, 2015 at 7:27 AM, BARRETT, Oliver
<oliver.barrett at skema.edu> wrote:
> 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% plagiarism.
> 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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