Thank you both for your response. As the names suggest, I am plotting the
sales & price data for items over time to understand the how certain items may
be more responsive than others to price changes.
Another way of displaying this information on the same chart as the one showing
sales, would
you can use facet_wrap:
df <- melt(df, id=c('time', 'sid'))
ggplot(df, aes(time, value, colour=sid)) +
geom_line(data = subset(df, variable=='sales')) +
geom_point(data = subset(df, variable=='price')) +
facet_wrap(~variable, ncol=1, scales='free_y')
Xie Chao
On Fri, Feb 5, 2010 at 12:2
chuckwhite wrote:
>
> I am trying to plot this dataset using ggplot2:
>
> .. self-contained example removed
>
> How can I plot the price (using geom_point) in a separate plot just above
> the sales plot so that the xaxes match and the yaxes are different.
>
>
To quote Hadley Wickham: http:/
I am trying to plot this dataset using ggplot2:
df <- data.frame(
sid = c(rep('11',30),rep('22',30)),
time = rep(ISOdate(year = 2010, month = 1, day = 1:30),2),
sales = c(rnorm(30, 1000, 20),rnorm(30, 900, 10)),
price = c(rnorm(30, 2, 0.5),rnorm(30, 3,0.5))
)
Plotting just the sales
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