To illustrate the second option I proposed,
library(ggplot2)
library(gridExtra)
category - paste(Geographical Category, 1:10)
grp1 - rnorm(10, mean=10, sd=10)
grp2 - rnorm(10, mean=20, sd=10)
grp3 - rnorm(10, mean=15, sd=10)
grp4 - rnorm(10, mean=12, sd=10)
mydat -
baptiste,
I have two more questions. How can I get the category labels right
justified? It seems that I need to change the size of the text too. Since in
my real data the text size are big and they appears to be even bigger than
my plot area. So, my second question is how can I change the text
Hi,
I wanted to generate a plot which is almost like the plot generated by the
following codes.
category - paste(Geographical Category, 1:10)
grp1 - rnorm(10, mean=10, sd=10)
grp2 - rnorm(10, mean=20, sd=10)
grp3 - rnorm(10, mean=15, sd=10)
grp4 - rnorm(10, mean=12, sd=10)
mydat -
Hi,
One way you could do it is to create a separate graph for each
category. The y axis labels would replace the strip labels. You could
then stack the graphs on the page, and add a common legend. The tricky
part would be to make sure the different panels have the same width
and height.
Another
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