scale_date {ggplot2} | R Documentation |
Position scale, date
scale_x_date(name=NULL, limits=NULL, major=NULL, minor=NULL, format=NULL, ...) scale_y_date(name=NULL, limits=NULL, major=NULL, minor=NULL, format=NULL, ...)
name |
name of scale to appear in legend or on axis. Maybe be an expression: see ?plotmath |
limits |
numeric vector of length 2, giving the extent of the scale |
major |
NULL |
minor |
NULL |
format |
NULL |
... |
ignored |
This page describes scale_date, see layer
and qplot
for how to create a complete plot from individual components.
A layer
Hadley Wickham, http://had.co.nz/
scale_discrete
: Discrete position scales
## Not run: # We'll start by creating some nonsense data with dates df <- data.frame( date = seq(Sys.Date(), len=100, by="1 day")[sample(100, 50)], price = runif(50) ) df <- df[order(df$date), ] dt <- qplot(date, price, data=df, geom="line") + opts(aspect.ratio = 1/4) # We can control the format of the labels, and the frequency of # the major and minor tickmarks. See ?format.Date and ?seq.Date # for more details. dt + scale_x_date() dt + scale_x_date(format=" dt + scale_x_date(format=" dt + scale_x_date(major="months", minor="weeks", format=" dt + scale_x_date(major="months", minor="3 days", format=" dt + scale_x_date(major="years", format=" # The date scale will attempt to pick sensible defaults for # major and minor tick marks qplot(date, price, data=df[1:10,], geom="line") qplot(date, price, data=df[1:4,], geom="line") df <- data.frame( date = seq(Sys.Date(), len=1000, by="1 day"), price = runif(500) ) qplot(date, price, data=df, geom="line") # A real example using economic time series data qplot(date, psavert, data=economics) qplot(date, psavert, data=economics, geom="path") end <- max(economics$date) last_plot() + scale_x_date(lim = c(as.Date("2000-1-1"), end)) last_plot() + scale_x_date(lim = c(as.Date("2005-1-1"), end)) last_plot() + scale_x_date(lim = c(as.Date("2006-1-1"), end)) # If we want to display multiple series, one for each variable # it's easiest to first change the data from a "wide" to a "long" # format: em <- melt(economics, id = "date") # Then we can group and facet by the new "variable" variable qplot(date, value, data = em, geom = "line", group = variable) qplot(date, value, data = em, geom = "line", group = variable) + facet_grid(variable ~ ., scale = "free_y") ## End(Not run)