facet_grid() for multiple y variables?

[Vikram Chhatre]

Hello -

I want to make stacked plots, something akin to what par(mfrow=c(6,1))
will produce. My dataset includes 5 variables (5 columns) that I want
to put on y axis and one x variable. Essentially, these y variables
are independent of each other. Thus, what I am trying to achieve is
simply stack different plots atop each other, but label the x axis
only on the bottom plot.

So far, the facet_grid() examples I have seen use a variable or
variables that are dependent on each other to split the data into
several plots on a grid. So I am wondering if this function is
suitable for my purposes. If not, is there another way to accomplish
this in ggplot2?

Thanks
Vikram

[Winston Chang]

I think you want to use melt() from the reshape2 package. See ?melt.data.frame for more information on how to use it.

set.seed(32)

dat <- data.frame(id=LETTERS[1:10],

                  x  = 1:10,

                  y1 = rnorm(10),

                  y2 = rnorm(10),

                  y3 = rnorm(10)

                 )

# print the data frame

dat

# convert to long format

library(reshape2)

datl <- melt(dat, id.vars=c("id", "x"))

# print

datl

library(ggplot2)

ggplot(datl, aes(x=x, y=value)) + geom_point() + facet_grid(variable ~ .)

Vikram

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[Vikram Chhatre]

Thank you Winston. That was helpful. I was able to prepare the plot
by using melt() function.

Vikram