[r] Stacked bar chart

I would like to create a stacked chart using ggplot2 and geom_bar.

Here is my source data:

Rank F1     F2     F3
1    500    250    50
2    400    100    30
3    300    155    100
4    200    90     10

I want a stacked chart where x is the rank and y is the values in F1, F2, F3.

# Getting Source Data
  sample.data <- read.csv('sample.data.csv')

# Plot Chart
  c <- ggplot(sample.data, aes(x = sample.data$Rank, y = sample.data$F1))
  c + geom_bar(stat = "identity")

This is as far as i can get. I'm not sure of how I can stack the rest of the field values.

Maybe my data.frame is not in a good format?

Building on Roland's answer, using tidyr to reshape the data from wide to long:

library(tidyr)
library(ggplot2)

df <- read.table(text="Rank F1     F2     F3
1    500    250    50
2    400    100    30
3    300    155    100
4    200    90     10", header=TRUE)

df %>% 
  gather(variable, value, F1:F3) %>% 
  ggplot(aes(x = Rank, y = value, fill = variable)) + 
  geom_bar(stat = "identity")

You need to transform your data to long format and shouldn't use $ inside aes:

DF <- read.table(text="Rank F1     F2     F3
1    500    250    50
2    400    100    30
3    300    155    100
4    200    90     10", header=TRUE)

library(reshape2)
DF1 <- melt(DF, id.var="Rank")

library(ggplot2)
ggplot(DF1, aes(x = Rank, y = value, fill = variable)) + 
  geom_bar(stat = "identity")

You will need to melt your dataframe to get it into the so-called long format:

require(reshape2)
sample.data.M <- melt(sample.data)

Now your field values are represented by their own rows and identified through the variable column. This can now be leveraged within the ggplot aesthetics:

require(ggplot2)
c <- ggplot(sample.data.M, aes(x = Rank, y = value, fill = variable))
c + geom_bar(stat = "identity")

Instead of stacking you may also be interested in showing multiple plots using facets:

c <- ggplot(sample.data.M, aes(x = Rank, y = value))
c + facet_wrap(~ variable) + geom_bar(stat = "identity")