# scale_x_date

0th

Percentile

##### Position scale, date

Position scale, date

##### Usage
scale_x_date(..., expand = waiver(),
breaks = pretty_breaks(), minor_breaks = waiver())  scale_y_date(..., expand = waiver(),
breaks = pretty_breaks(), minor_breaks = waiver())
##### Arguments
breaks
A vector of breaks, a function that given the scale limits returns a vector of breaks, or a character vector, specifying the width between breaks. For more information about the first two, see continu
minor_breaks
Either NULL for no minor breaks, waiver() for the default breaks (one minor break between each major break), a numeric vector of positions, or a function that given the limits returns a vector of minor breaks.
...
common continuous scale parameters: name, breaks, labels, na.value, limits and trans. See continuous_scale for m
expand
a numeric vector of length two giving multiplicative and additive expansion constants. These constants ensure that the data is placed some distance away from the axes.

Other position scales: scale_x_continuous, scale_x_datetime, scale_x_discrete, scale_x_log10, scale_x_reverse, scale_x_sqrt, scale_y_continuous, scale_y_datetime, scale_y_discrete, scale_y_log10, scale_y_reverse, scale_y_sqrt

• scale_x_date
• scale_y_date
##### Examples
# 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$date), ] dt <- qplot(date, price, data=df, geom="line") + theme(aspect.ratio = 1/4) # We can control the format of the labels, and the frequency of # the major and minor tickmarks. See ?format.Date and ?seq.Date # for more details. library(scales) # to access breaks/formatting functions dt + scale_x_date() dt + scale_x_date(labels = date_format("%m/%d")) dt + scale_x_date(labels = date_format("%W")) dt + scale_x_date(labels = date_format("%W"), breaks = date_breaks("week")) dt + scale_x_date(breaks = date_breaks("months"), labels = date_format("%b")) dt + scale_x_date(breaks = date_breaks("4 weeks"), labels = date_format("%d-%b")) # We can use character string for breaks. # See \\code{\\link{by}} argument in \\code{\\link{seq.Date}}. dt + scale_x_date(breaks = "2 weeks") dt + scale_x_date(breaks = "1 month", minor_breaks = "1 week") # The date scale will attempt to pick sensible defaults for # major and minor tick marks qplot(date, price, data=df[1:10,], geom="line") qplot(date, price, data=df[1:4,], geom="line") df <- data.frame( date = seq(Sys.Date(), len=1000, by="1 day"), price = runif(500) ) qplot(date, price, data=df, geom="line") # A real example using economic time series data qplot(date, psavert, data=economics) qplot(date, psavert, data=economics, geom="path") end <- max(economics$date)
last_plot() + scale_x_date(limits = c(as.Date("2000-1-1"), end))
last_plot() + scale_x_date(limits = c(as.Date("2005-1-1"), end))
last_plot() + scale_x_date(limits = 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:
library(reshape2) # for melt
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")
Documentation reproduced from package ggplot2, version 0.9.3.1, License: GPL-2

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