Dear Boris, Thank you for your reply.> dput(count1_vector)c(5, 6, 4, 4, 6, 5, 4, 5, 3, 7, 5, 5, 3, 4, 8, 6, 10, 2, 4, 6, 8, 4, 4, 6, 8, 5, 6, 3, 7, 9, 4, 7, 5, 7, 3, 4, 5, 2, 11, 7, 8, 5, 5, 6, 3, 2, 3, 5, 9, 6, 5, 6, 7, 3, 10, 7, 6, 4, 9, 5, 7, 3, 7, 3, 2, 3, 4, 5, 10, 4, 5, 5, 6, 7, 4, 8, 7, 5, 5, 4, 8, 7, 9, 4, 4, 4, 7, 5, 4, 10, 4, 5, 6, 1, 3, 5, 4, 7, 4, 6) set.seed(123) qqplot(count1_vector,rbinom(n=100,size=100,p=.05)) qqline(count1_vector,distribution = function(probs) { qbinom(probs, size=100, prob=0.05) }, col = "red", lwd = 0.5) When I do this, the line does not pass through the center of my data.I do expect count1_vector to be 100 samples of binomial with n=100 and p=.05. Any comments or suggestions for me ? Note : I built a 95% Confidence interval for my data and I counted how often out of 100 times did the data fall outside the CI.This I expect to be binomial with n=100,p=.05. I repeated this a 100 times and obtained count1_vector. Best Regards, Ashim. On Mon, Apr 17, 2017 at 7:51 PM, Boris Steipe <boris.steipe at utoronto.ca> wrote:> That's not how qqline() works. The line is drawn with respect to a > _reference_distribution_ which is the normal distribution by default. For > the binomial distribution, you need to specify the distribution argument. > There is an example in the help page that shows you how this is done for > qchisq(). for qbinom() it is: > > > set.seed(123) > qqplot(rbinom(n=100, size=100, p=0.05), > rbinom(n=100, size=100, p=0.05) ) > > qqline(rbinom(n=100,size=100,p=.05), > distribution = function(probs) { qbinom(probs, size=100, prob=0.05) > }, > col = "red", > lwd = 0.5) > > > > > B. > > > > On Apr 17, 2017, at 9:15 AM, Ashim Kapoor <ashimkapoor at gmail.com> wrote: > > > > Dear Spencer, > > > > Okay. Many thanks. My next query is how do I use qqline? > > > > When I try > > > >> qqline(rbinom(n=100,size=100,p=.05)) > > > > I don't get the line in the right place. > > > > Best Regards, > > Ashim > > > > On Mon, Apr 17, 2017 at 6:31 PM, Spencer Graves < > > spencer.graves at effectivedefense.org> wrote: > > > >> > >> > >> On 2017-04-17 7:58 AM, Ashim Kapoor wrote: > >> > >>> Dear All, > >>> > >>> set.seed(123) > >>> qqplot(rbinom(n=100,size=100,p=.05), rbinom(n=100,size=100,p=.05) ) > >>> > >>> I expect to see 1 clear line,but I don't. What am I misunderstanding? > >>> > >> > >> > >> The distribution is discrete, and points are superimposed. Try the > >> following: > >> > >> > >> set.seed(123) > >> qqplot(jitter(rbinom(n=100,size=100,p=.05)), > >> jitter(rbinom(n=100,size=100,p=.05) )) > >> > >> > >> Spencer Graves > >> > >>> > >>> Best Regards, > >>> Ashim > >>> > >>> [[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/posti > >>> ng-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/posti > >> ng-guide.html > >> and provide commented, minimal, self-contained, reproducible code. > >> > > > > [[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. > >[[alternative HTML version deleted]]
As per the help pages, the data samples are expected in the second argument,
"y".
So try
qqplot(rbinom(n=100, size=100, p=0.05), count1_vector)
... and then plot your qqline()
Alternatively, try
qqline(count1_vector,
distribution = function(probs) { qbinom(probs, size=100, prob=0.05) },
datax = TRUE, # <- logical. Should data values be on the x-axis?
col = "red",
lwd = 0.5)
... and use your original qqplot()
B.
> On Apr 18, 2017, at 12:47 AM, Ashim Kapoor <ashimkapoor at gmail.com>
wrote:
>
> Dear Boris,
>
> Thank you for your reply.
>
> > dput(count1_vector)
> c(5, 6, 4, 4, 6, 5, 4, 5, 3, 7, 5, 5, 3, 4, 8, 6, 10, 2, 4, 6,
> 8, 4, 4, 6, 8, 5, 6, 3, 7, 9, 4, 7, 5, 7, 3, 4, 5, 2, 11, 7,
> 8, 5, 5, 6, 3, 2, 3, 5, 9, 6, 5, 6, 7, 3, 10, 7, 6, 4, 9, 5,
> 7, 3, 7, 3, 2, 3, 4, 5, 10, 4, 5, 5, 6, 7, 4, 8, 7, 5, 5, 4,
> 8, 7, 9, 4, 4, 4, 7, 5, 4, 10, 4, 5, 6, 1, 3, 5, 4, 7, 4, 6)
>
> set.seed(123)
> qqplot(count1_vector,rbinom(n=100,size=100,p=.05))
> qqline(count1_vector,distribution = function(probs) { qbinom(probs,
size=100, prob=0.05) },
> col = "red",
> lwd = 0.5)
>
> When I do this, the line does not pass through the center of my data.I do
expect count1_vector to be 100 samples of binomial with n=100 and p=.05.
>
> Any comments or suggestions for me ?
>
> Note : I built a 95% Confidence interval for my data and I counted how
often out of 100 times did the data fall outside the CI.This I expect to be
binomial with n=100,p=.05. I repeated this a 100 times and obtained
count1_vector.
>
> Best Regards,
> Ashim.
>
>
> On Mon, Apr 17, 2017 at 7:51 PM, Boris Steipe <boris.steipe at
utoronto.ca> wrote:
> That's not how qqline() works. The line is drawn with respect to a
_reference_distribution_ which is the normal distribution by default. For the
binomial distribution, you need to specify the distribution argument. There is
an example in the help page that shows you how this is done for qchisq(). for
qbinom() it is:
>
>
> set.seed(123)
> qqplot(rbinom(n=100, size=100, p=0.05),
> rbinom(n=100, size=100, p=0.05) )
>
> qqline(rbinom(n=100,size=100,p=.05),
> distribution = function(probs) { qbinom(probs, size=100, prob=0.05)
},
> col = "red",
> lwd = 0.5)
>
>
>
>
> B.
>
>
> > On Apr 17, 2017, at 9:15 AM, Ashim Kapoor <ashimkapoor at
gmail.com> wrote:
> >
> > Dear Spencer,
> >
> > Okay. Many thanks. My next query is how do I use qqline?
> >
> > When I try
> >
> >> qqline(rbinom(n=100,size=100,p=.05))
> >
> > I don't get the line in the right place.
> >
> > Best Regards,
> > Ashim
> >
> > On Mon, Apr 17, 2017 at 6:31 PM, Spencer Graves <
> > spencer.graves at effectivedefense.org> wrote:
> >
> >>
> >>
> >> On 2017-04-17 7:58 AM, Ashim Kapoor wrote:
> >>
> >>> Dear All,
> >>>
> >>> set.seed(123)
> >>> qqplot(rbinom(n=100,size=100,p=.05),
rbinom(n=100,size=100,p=.05) )
> >>>
> >>> I expect to see 1 clear line,but I don't. What am I
misunderstanding?
> >>>
> >>
> >>
> >> The distribution is discrete, and points are superimposed.
Try the
> >> following:
> >>
> >>
> >> set.seed(123)
> >> qqplot(jitter(rbinom(n=100,size=100,p=.05)),
> >> jitter(rbinom(n=100,size=100,p=.05) ))
> >>
> >>
> >> Spencer Graves
> >>
> >>>
> >>> Best Regards,
> >>> Ashim
> >>>
> >>> [[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/posti
> >>> ng-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/posti
> >> ng-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> >>
> >
> > [[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.
>
>
Dear Boris, Many thanks, Ashim On Tue, Apr 18, 2017 at 7:56 PM, Boris Steipe <boris.steipe at utoronto.ca> wrote:> As per the help pages, the data samples are expected in the second > argument, "y". > > So try > qqplot(rbinom(n=100, size=100, p=0.05), count1_vector) > > ... and then plot your qqline() > > Alternatively, try > > qqline(count1_vector, > distribution = function(probs) { qbinom(probs, size=100, prob=0.05) > }, > datax = TRUE, # <- logical. Should data values be on the x-axis? > col = "red", > lwd = 0.5) > ... and use your original qqplot() > > > B. > > > > On Apr 18, 2017, at 12:47 AM, Ashim Kapoor <ashimkapoor at gmail.com> > wrote: > > > > Dear Boris, > > > > Thank you for your reply. > > > > > dput(count1_vector) > > c(5, 6, 4, 4, 6, 5, 4, 5, 3, 7, 5, 5, 3, 4, 8, 6, 10, 2, 4, 6, > > 8, 4, 4, 6, 8, 5, 6, 3, 7, 9, 4, 7, 5, 7, 3, 4, 5, 2, 11, 7, > > 8, 5, 5, 6, 3, 2, 3, 5, 9, 6, 5, 6, 7, 3, 10, 7, 6, 4, 9, 5, > > 7, 3, 7, 3, 2, 3, 4, 5, 10, 4, 5, 5, 6, 7, 4, 8, 7, 5, 5, 4, > > 8, 7, 9, 4, 4, 4, 7, 5, 4, 10, 4, 5, 6, 1, 3, 5, 4, 7, 4, 6) > > > > set.seed(123) > > qqplot(count1_vector,rbinom(n=100,size=100,p=.05)) > > qqline(count1_vector,distribution = function(probs) { qbinom(probs, > size=100, prob=0.05) }, > > col = "red", > > lwd = 0.5) > > > > When I do this, the line does not pass through the center of my data.I > do expect count1_vector to be 100 samples of binomial with n=100 and p=.05. > > > > Any comments or suggestions for me ? > > > > Note : I built a 95% Confidence interval for my data and I counted how > often out of 100 times did the data fall outside the CI.This I expect to be > binomial with n=100,p=.05. I repeated this a 100 times and obtained > count1_vector. > > > > Best Regards, > > Ashim. > > > > > > On Mon, Apr 17, 2017 at 7:51 PM, Boris Steipe <boris.steipe at utoronto.ca> > wrote: > > That's not how qqline() works. The line is drawn with respect to a > _reference_distribution_ which is the normal distribution by default. For > the binomial distribution, you need to specify the distribution argument. > There is an example in the help page that shows you how this is done for > qchisq(). for qbinom() it is: > > > > > > set.seed(123) > > qqplot(rbinom(n=100, size=100, p=0.05), > > rbinom(n=100, size=100, p=0.05) ) > > > > qqline(rbinom(n=100,size=100,p=.05), > > distribution = function(probs) { qbinom(probs, size=100, > prob=0.05) }, > > col = "red", > > lwd = 0.5) > > > > > > > > > > B. > > > > > > > On Apr 17, 2017, at 9:15 AM, Ashim Kapoor <ashimkapoor at gmail.com> > wrote: > > > > > > Dear Spencer, > > > > > > Okay. Many thanks. My next query is how do I use qqline? > > > > > > When I try > > > > > >> qqline(rbinom(n=100,size=100,p=.05)) > > > > > > I don't get the line in the right place. > > > > > > Best Regards, > > > Ashim > > > > > > On Mon, Apr 17, 2017 at 6:31 PM, Spencer Graves < > > > spencer.graves at effectivedefense.org> wrote: > > > > > >> > > >> > > >> On 2017-04-17 7:58 AM, Ashim Kapoor wrote: > > >> > > >>> Dear All, > > >>> > > >>> set.seed(123) > > >>> qqplot(rbinom(n=100,size=100,p=.05), rbinom(n=100,size=100,p=.05) ) > > >>> > > >>> I expect to see 1 clear line,but I don't. What am I misunderstanding? > > >>> > > >> > > >> > > >> The distribution is discrete, and points are superimposed. Try > the > > >> following: > > >> > > >> > > >> set.seed(123) > > >> qqplot(jitter(rbinom(n=100,size=100,p=.05)), > > >> jitter(rbinom(n=100,size=100,p=.05) )) > > >> > > >> > > >> Spencer Graves > > >> > > >>> > > >>> Best Regards, > > >>> Ashim > > >>> > > >>> [[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/posti > > >>> ng-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/posti > > >> ng-guide.html > > >> and provide commented, minimal, self-contained, reproducible code. > > >> > > > > > > [[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. > > > > > >[[alternative HTML version deleted]]