> peter dalgaard
> on Fri, 21 Oct 2016 22:10:22 +0200 writes:
>> On 21 Oct 2016, at 20:23 , peter dalgaard
>> wrote:
>>
>> In both cases it works out nicer if you do
>>
>> names(px) <- x
>> barplot(px)
> Um, unless of course you want the cdf as a st
> On 21 Oct 2016, at 20:23 , peter dalgaard wrote:
>
> In both cases it works out nicer if you do
>
> names(px) <- x
> barplot(px)
>
Um, unless of course you want the cdf as a step function, in which case check
the help page for plot for possible values of the type= argument.
--
Peter Dalg
This looks like homework, but doing it in R might not be, so I'll give you the
benefit of doubt...
> On 21 Oct 2016, at 18:30 , Ragia . wrote:
>
>
> Dear Grooup
>
> kindly
>
> how can I plot these graphs in R..
>
>
> Suppose that X is a discrete random variable with P(X = 0) = .25, P(X
Dear Grooup
kindly
how can I plot these graphs in R..
Suppose that X is a discrete random variable with P(X = 0) = .25, P(X = 1) =
.125, P(X = 2) = .125, and P(X = 3) = .5. Graph the frequency function and
the cumulative distribution function of X.
my solution was:
x=c(0,1,3)
px=c(.25,.1
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