Legend labeling issue with ggplot2

Question

This is sort of a nitpicky issue but I'm having trouble displaying the color of a line in the legend for the graph. In the box next to "Sabry Lee" the color should be blue, but it's blank, for some reason.

Here's the data:

df2 <- structure(list(STRING = c("1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC"), time = structure(c(13239, 13422, 
13483, 13545, 13573, 13604, 13634, 13665, 13695, 13726, 13757, 
13787, 13818, 13848, 13879, 13910, 13939, 13970, 14000, 14031, 
14061, 14092, 14123, 14153, 14184, 14214, 14245, 14276, 14304, 
14335), class = "Date"), ee_qty = c(NA, 2302, 3434, 1800, 2766, 
4408, 6314, 2860, 2476, 1572, 4950, 1812, 14100, 7591, NA, NA, 
11823, NA, NA, 11829, 3836, 5378, 4804, 4356, 3655, 5955, 1345, 
4717, 8854, 11494), ee_amt = c(NA, 33815.88, 60107.4, 66279.2, 
66814.46, 129042.18, 151649.49, 58576.2, 61984.58, 61782, 102648.16, 
67844.4, 362371.82, 159274.66, NA, NA, 285847.62, NA, NA, 258045.26, 
82306.74, 119702.9, 113514.6, 118765.82, 86298.66, 155659.83, 
40246.14, 134675.59, 236084.63, 256467.56), elite_qty = c(NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, 1281, 3037, 2141, 1764, 1661, 
1838, 2780, 2627, 2498, 3137, 2238, 2470, 1107, 1886, 844, 798, 
NA, 1588, 1919, 2603), elite_amt = c(NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, 34956.08, 48618.37, 58880.59, 49141.23, 49067.42, 
40105.91, 89717.69, 78612.5, 40608.3599999999, 65893.38, 33706.66, 
77191.76, 45096.9, 55742.83, 29993.7600000000, 27171.22, NA, 
1427.23, 2466.64, 54500.19), Sabry_Qty = c(596, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA), Sabry_amt = c(17761.06, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), depo_qty = c(NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
902, 319, 883, 597, 854, 710, 911, 573, 447, 857, 795, 997, 822
), depo_amt = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, 31011.68, 13556.65, 32134.72, 23106.94, 36681.95, 
30220.74, 38051.93, 24941.85, 19337.46, 31360.4, 30182.18, 41363.71, 
34419.34), tyc_qty = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, 58, 116, 136), tyc_amt = c(NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, 3103.73, 7538.71, 7497.34), string2 = c("1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC", 
"1A AUTO INC", "1A AUTO INC", "1A AUTO INC", "1A AUTO INC")), .Names = c("STRING", 
"time", "ee_qty", "ee_amt", "elite_qty", "elite_amt", "Sabry_Qty", 
"Sabry_amt", "depo_qty", "depo_amt", "tyc_qty", "tyc_amt", "string2"
), row.names = c(NA, 30L), class = "data.frame")

And the code to produce the plot:

p = ggplot(df2)
p = p + 
    geom_line(aes(time, ee_amt, colour="ee_amt"), size = 2) + 
    geom_point(aes(time, ee_amt, colour="ee_amt"), size = 2) + 
    geom_line(aes(time, elite_amt, colour="elite_amt"), size = 2) + 
    geom_point(aes(time, elite_amt, colour="elite_amt"), size = 2) +
    geom_line(aes(time, Sabry_amt, colour="Sabry_amt"), size = 2) + 
    geom_point(aes(time, Sabry_amt, colour="Sabry_amt"), size = 2) +
    geom_line(aes(time, depo_amt, colour="depo_amt"), size = 2) + 
    geom_point(aes(time, depo_amt, colour="depo_amt"), size = 2) +
    geom_line(aes(time, tyc_amt, colour="tyc_amt"), size = 2) + 
    geom_point(aes(time, tyc_amt, colour="tyc_amt"), size = 2) +
    ylab("Revenue (Dollars)") + 
    xlab("Time") + 
    labs(colour = "") + 
    opts(legend.position="right") + 
    opts(title = "Stuff") +
    scale_color_manual(name ="", 
                       values = c("red", "green", "blue", "purple", "yellow"),                 
                       breaks=c("ee_amt", "elite_amt", "Sabry_Amt", "depo_amt", "tyc_amt"), 
                       labels=c("Eagle Eyes", "E-lite", "Sabry Lee", "Depo", "TYC"))

Answer 1

You are doing it the wrong way. First melt your data, and then use it to let ggplot do the work for you so you don't have to put 5 calls to geom_line and geom_point. And it's usually safer to get the breaks from levels, much less typing and much less error prone.

library(reshape2)

df2M <- melt(df2, measure.vars = c("ee_amt", "elite_amt", "Sabry_amt", "depo_amt", "tyc_amt"))

ggplot(df2M, aes(time, value, colour = variable, group = variable)) + 
  geom_line(size = 2) +
  geom_point(size = 2) +
 labs(colour = "", x = "Time", y = "Revenue (Dollars)") + 
 opts(legend.position="right", title = "Stuff") +
  scale_color_manual(name ="", values = c("red", "green", "blue", "purple", "yellow"), 
                     breaks= levels(df2M$variable), 
                     labels=c("Eagle Eyes", "E-lite", "Sabry Lee", "Depo", "TYC"))