Color-coded PMF with legend in ggplot2 - r

Question

My goal is to produce two overlapping PMFs of binomial distributions using ggplot2, color-coded according to colors that I specify, with a legend at the bottom.
So far, I think I have set up the data frame right.
successes <- c(seq(0,10,1),seq(0,10,1))
freq <- c(dbinom(seq(0,10,1),10,0.2),dbinom(seq(0,10,1),10,0.8))
class <- c(rep(' A ',11),rep(' B ',11))
df1 <- data.frame(cbind(successes,freq,class))
However, this gives the wrong result.
library(ggplot2)
g <- ggplot(df1, aes(successes),y=freq)
g + geom_bar(aes(fill = class))
I feel like I'm following an example yet getting a totally different result. This (almost) does what I want: it would be exact if it gave relative frequencies.
g <- ggplot(mpg, aes(class))
g + geom_bar(aes(fill = drv))
A couple of questions:
1) Where am I going wrong in my block of code?
2) Is there a better way to show to PMFs in one graph? I'm not determined to use a histogram or bar chart.
3) How can I set this up to give me the ability to choose the colors?
4) How do I order the values on the x-axis? They aren't categories. They are the numbers 0-10 and have a natural order that I want to preserve.
Thanks!
UPDATE
The following two blocks worked.
successes <- c(seq(0,10,1),seq(0,10,1))
freq <- c(dbinom(seq(0,10,1),10,0.2),dbinom(seq(0,10,1),10,0.8))
class <- c(rep(' A ',11),rep(' B ',11))
df1 <- data.frame(successes,freq,class)
ggplot(df1, aes(successes ,y=freq, fill = class)) +
geom_bar(stat = "identity") +
scale_x_continuous(breaks = seq(0,10,1)) +
scale_fill_manual(values = c("blue", "green")) + theme_bw()
AND
successes <- c(seq(0,10,1),seq(0,10,1))
freq <- c(dbinom(seq(0,10,1),10,0.2),dbinom(seq(0,10,1),10,0.8))
class <- c(rep(' A ',11),rep(' B ',11))
df1 <- data.frame(successes,freq,class)
ggplot(df1, aes(x=successes,y=freq),y=freq) +
geom_col(aes(fill = class)) +
scale_x_continuous(breaks = seq(0,10,1)) +
scale_fill_manual(values = c("blue", "green")) + theme_bw()

Answer 1

I think your issue is that successes and freq are being changed to factors when you create df1
Maybe this is what you're thinking of?
successes <- c(seq(0,10,1),seq(0,10,1))
freq <- c(dbinom(seq(0,10,1),10,0.2),dbinom(seq(0,10,1),10,0.8))
class <- c(rep(' A ',11),rep(' B ',11))
df1 <- data.frame(successes = as.numeric(successes), freq = as.numeric(freq), class)
ggplot(df1, aes(x = successes, y = freq)) +
geom_bar(stat = "identity", aes(fill = class))
If not, happy to answer any further questions!

Answer 2

Is this what you're looking for?
library(ggplot2)
g <- ggplot(df1, aes(successes ,y=freq, fill = class))
g + geom_bar(stat = "identity") +
scale_fill_manual(values = c("blue", "green"))
Of course, keeping in mind you'd indeed change your dataframe creation to:
successes <- c(seq(0,10,1),seq(0,10,1))
freq <- c(dbinom(seq(0,10,1),10,0.2),dbinom(seq(0,10,1),10,0.8))
class <- c(rep(' A ',11),rep(' B ',11))
df1 <- data.frame(successes,freq,class)
as suggested in the comments.