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)
Residuals:
Min 1Q Median 3Q Max
-0.154587 -0.015961 0.001429 0.017196 0.110907
Coefficients:
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]]
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 flags. 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. Cheers, Bert Bert Gunter "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) > > Residuals: > Min 1Q Median 3Q Max > -0.154587 -0.015961 0.001429 0.017196 0.110907 > > Coefficients: > 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]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
Hi, With the usual caveat that I Am Not A Lawyer....and that I am not speaking on behalf of any organization... My guess is that they are claiming that the output of R, simply being copied and pasted verbatim into your thesis constitutes the use of copyrighted output from the software. It is not clear to me that R's output is copyrighted by the R Foundation (or by other parties for CRAN packages), albeit, the source code underlying R is, along with other copyright owner's as apropos. There is some caselaw to support the notion that the output alone is not protected in a similar manner, but that may be country specific. Did you provide any credit to R (see the output of citation() ) in your thesis and indicate that your analyses were performed using R? If R is uncredited, I could see them raising the issue. You might check with your institution's legal/policy folks to see if there is any guidance provided for students regarding the crediting of software used in this manner, especially if that guidance is at no cost to you. Regards, Marc Schwartz> On Sep 22, 2015, at 11:01 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > > 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 > flags. > > 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. > > Cheers, > Bert > > > Bert Gunter > > "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) >> >> Residuals: >> Min 1Q Median 3Q Max >> -0.154587 -0.015961 0.001429 0.017196 0.110907 >> >> Coefficients: >> 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]] >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
Your professor should immediately recognize that the quoted code is standard regression input/output and that the Urkund results in this case are without merit.> On 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) > > Residuals: > Min 1Q Median 3Q Max > -0.154587 -0.015961 0.001429 0.017196 0.110907 > > Coefficients: > 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]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.