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Home/ Questions/Q 615943
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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T18:16:26+00:00 2026-05-13T18:16:26+00:00

Using ggplot2 I am plotting several functions and a series of points. I cannot

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Using ggplot2 I am plotting several functions and a series of points. I cannot figure out how to represent the points on the legend. I realize I need to use an aes() function, but I don’t fully understand how to do this. I apologize that the example is so long, but I don’t know how else to illustrate it.

## add ggplot2
library(ggplot2)

# Declare Chart values
y_label = expression("y_axis"~~bgroup("(",val / km^{2},")"))
x_label = "x_axis"

#############################
## Define functions
# Create a list to hold the functions
funcs <- list()
funcs[]

# loop through to define functions
for(k in 1:21){

# Make function name
funcName <- paste('func', k, sep = '' )

# make function
func = paste('function(x){exp(', k, ') * exp(x*0.01)}', sep = '')

funcs[[funcName]] = eval(parse(text=func))

}

    # Specify values
    yval = c(1:20)                              
    xval = c(1:20)                                

    # make a dataframe
    d = data.frame(xval,yval)

    # Specify Range
    x_range <- range(1,51)

# make plot
p <-qplot(data = d,
        x=xval,y=yval,        
        xlab = x_label, 
        ylab = y_label,
        xlim = x_range
        )+ geom_point(colour="green")


for(j in 1:length(funcs)){

p <- p + stat_function(aes(y=0),fun = funcs[[j]], colour="blue", alpha=I(1/5))

}

# make one function red
p <- p + stat_function(fun = funcs[[i]], aes(color="red"), size = 1) +
    scale_colour_identity("", breaks=c("red", "green","blue"),
    labels=c("Fitted Values", "Measured values","All values")) 

# position legend and make remove frame
p <- p + opts(legend.position = c(0.85,0.7), legend.background = theme_rect(col = 0)) 

print(p)     

Thank you in advance – I have learned I a lot from this community over the last few days.

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-13T18:16:26+00:00Added an answer on May 13, 2026 at 6:16 pm

    See below for a solution. The main idea is the following: imagine the points having an invisible line under them, and the lines having invisible points. So each “series” gets color and shape and linetype attributes, and at the end we will manually set them to invisible values (0 for lines, NA for points) as necessary. ggplot2 will merge the legends for the three attributes automatically.

    # make plot 
    p <- qplot(data = d, x=xval, y=yval, colour="Measured", shape="Measured",
              linetype="Measured",  xlab = x_label,   ylab = y_label, xlim = x_range,
              geom="point") 
    
    #add lines for functions 
    for(j in 1:length(funcs)){ 
       p <- p + stat_function(aes(colour="All", shape="All", linetype="All"), 
                              fun = funcs[[j]],  alpha=I(1/5), geom="line")  
    } 
    
    # make one function special 
    p <- p + stat_function(fun = funcs[[1]], aes(colour="Fitted", shape="Fitted",
                           linetype="Fitted"), size = 1, geom="line")
    
    # modify look 
     p <- p +  scale_colour_manual("", values=c("green", "blue", "red")) + 
               scale_shape_manual("", values=c(19,NA,NA)) + 
               scale_linetype_manual("", values=c(0,1,1)) 
    
    print(p) 
    
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