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How to fill a chart area using geom_raster or geom_tile

I have the following data frame:

 id  variable   value
 ID1    1A      91.98473282
 ID1    2A      72.51908397
 ID1    2B      62.21374046
 ID1    2D      69.08396947
 ID1    2F      83.39694656
 ID1    2G      41.60305344
 ID1    2H      63.74045802
 ID1    9A      58.40839695
 ID1    9C      61.10687023
 ID1    9D      50.76335878
 ID1    9K      58.46183206

I use ggplot2 to create a heat map with data:

     ggplot(data, aes(variable, id)) +
              geom_raster(aes(fill = value)) + 
              scale_fill_gradient(low = "white",
              high = "steelblue")

The plot is as follows: http://dl.dropbox.com/u/26998371/plot.pdf

I would like the tiles to fill the space of the graph along the Y axis, and not leave the space above and below.

I am sure there is a simple answer. Any help would be greatly appreciated.

scale_y_discrete (expand = c (0, 0)) does not work with the y axis, but scale_x_discrete (expand = c (0, 0)) will work on the x axis to fill the graph space.

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Update It seems that the problem has been fixed in the latest versions of ggplot2.

, id. id id, , . , coord_equal() id , .

## Your data
df = read.table(text = "
id  variable   value
ID1    1A      91.98473282
ID1    2A      72.51908397
ID1    2B      62.21374046
ID1    2D      69.08396947
ID1    2F      83.39694656
ID1    2G      41.60305344
ID1    2H      63.74045802
ID1    9A      58.40839695
ID1    9C      61.10687023
ID1    9D      50.76335878
ID1    9K      58.46183206", header = TRUE, sep = "")

library(ggplot2)

 # Change the id factor
 df$id2 = 1                   # numeric
 df$id3 = c(rep("ID1", 5), rep("ID2", 6))      # more than one level

 # Using the numeric version
 ggplot(df, aes(variable, id2)) +
          geom_raster(aes(fill = value)) + 
          scale_y_continuous(breaks = 1, labels = "ID1", expand = c(0,0)) + 
          scale_x_discrete(expand = c(0,0)) +
          scale_fill_gradient(low = "white",
          high = "steelblue")

enter image description here

# Two levels in the ID factor
ggplot(df, aes(variable, id3)) +
          geom_tile(aes(fill = value)) + 
          scale_fill_gradient(low = "white",
          high = "steelblue") 

# Using coord_equal() with the original id variable
ggplot(df, aes(variable, id)) +
          geom_tile(aes(fill = value)) + 
          scale_fill_gradient(low = "white",
          high = "steelblue") +
          coord_equal()
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