Dear All,
when I do :
set.seed(123)
expected_distribution<-rbinom(1000,100,.05)
#Without jitter
qqplot(jitter(expected_distribution),count1_vector, xlab="Expected
distribution",ylab="Observed values")
qqline(count1_vector,distribution = function(probs) { qbinom(probs,
size=100, prob=0.05) },co
Dear Boris,
Many thanks,
Ashim
On Tue, Apr 18, 2017 at 7:56 PM, Boris Steipe
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,
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)
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,
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()
Dear Boris,
Okay and Thanks.
Best,
Ashim
On Mon, Apr 17, 2017 at 6:45 PM, Boris Steipe
wrote:
> Moreover, setting the seed once, then evaluating two functions means you
> are sampling from the same distributions, but you do in fact have different
> values. Outliers in the rarefied tails of the
Moreover, setting the seed once, then evaluating two functions means you are
sampling from the same distributions, but you do in fact have different values.
Outliers in the rarefied tails of the distribution may lie quite considerably
off the expected diagonal. Try
set.seed(123)
qqplot(rbinom(n
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.gra...@effectivedefense.org> wrote:
>
>
> On 2017-04
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:
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?
Best Regards,
Ashim
[[alternative HTML version deleted]]
__
R-help@r-project.org
10 matches
Mail list logo
