I hope this example could help you
best
vito

> x<-seq(-3.5,3.5,0.1)
> x
 [1] -3.5 -3.4 -3.3 -3.2 -3.1 -3.0 -2.9 -2.8 -2.7 -2.6
-2.5 -2.4 -2.3 -2.2 -2.1
[16] -2.0 -1.9 -1.8 -1.7 -1.6 -1.5 -1.4 -1.3 -1.2 -1.1
-1.0 -0.9 -0.8 -0.7 -0.6
[31] -0.5 -0.4 -0.3 -0.2 -0.1  0.0  0.1  0.2  0.3  0.4
 0.5  0.6  0.7  0.8  0.9
[46]  1.0  1.1  1.2  1.3  1.4  1.5  1.6  1.7  1.8  1.9
 2.0  2.1  2.2  2.3  2.4
[61]  2.5  2.6  2.7  2.8  2.9  3.0  3.1  3.2  3.3  3.4
 3.5
>d<- dnorm(x,0,1)
 
> plot(d),type="l")

you wrote:

Dear support,

I want to draw a probability density plot in R. For
example, I provide the mean and variance of a normal
distribution, then R can provide me the probability
density plot. Now I always generate random numbers of
normal distribution and calculate their dnorm(mu,
var), finally plot them. I am eager to know some
directly operation.

Thank you for your attention.

I am looking forward to hearing from you soon. 

 

Best regards,

Long Yu

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