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.thevar...@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
>
> [[alternative HTML version deleted]]
>
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