[R] ggplot inside of the function

[Eric Berger]

Hi Mayooran,
If you define the following function

f <- function(m,v) { sprintf("Norm(mu=%.1f, var=%.1f)",m,v) }

Then you can modify the setting of Prob as follows

 Prob <- plyr::rename(Prob_df,
c("p_1"=f(mu1,var1),"p_2"=f(mu2,var2),"p_3"=f(mu3,var3)))

The lesson here is that wherever you set a variable to a string, as in
"p_1"="Norm(mu=mu1,var=var1)",
you can create the string dynamically using the function sprintf(),
which returns a string.

Best,
Eric

On Mon, Nov 25, 2019 at 3:54 AM Thevaraja, Mayooran
<M.Thevaraja using massey.ac.nz> wrote:
>
> Hello Folks
>                I am working some R package development. When I was using ggplot inside of the function, I need to get the output graph's legend must be corresponding to the input parameters numerical value (need to be automatically changed when we input different parameters).  Therefore anyone has any ideas? Here, I have given below a simple example. I need to get my output graph's legend should be Norm(mu=0.2, var=0.8),...
>
>
> example <- function(mu1,mu2,mu3,var1,var2,var3){
>   x <- seq(-3,3, by=0.01)
>   p_1 <- dnorm(x,mu1,var1)
>   p_2 <- dnorm(x,mu2,var2)
>   p_3 <- dnorm(x,mu3,var3)
>   Prob_df <- data.frame(x,p_1,p_2,p_3)
>   Prob <- plyr::rename(Prob_df, c("p_1"="Norm(mu=mu1, var=var1)","p_2"="Norm(mu=mu2, var=var2)","p_3"="Norm(mu=mu3, var=var3)"))
>   melten.Prob <- reshape2::melt(Prob, id = "x", variable.name = "Methods", value.name = "Prob")
> ggplot2::ggplot(melten.Prob)+
>     ggplot2::geom_point(ggplot2::aes(x = x, y = Prob, group= Methods, colour = Methods ))+
>     ggplot2::geom_line(ggplot2::aes(x = x, y = Prob, group= Methods, colour = Methods ))
>
> }
>
> mu1 <- 0.2
> mu2 <- 0.5
> mu3 <- 1
> var1 <- 0.8
> var2 <- 1.2
> var3 <- 2.1
> example(mu1,mu2,mu3,var1,var2,var3)
>
>
> Thanks
> Mayooran
>
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