nTick: [+] Control number of ticks in 'ggplot2' plots with...

In GegznaV/spPlot: Plotting and Helper Functions for `hyperSpec`, `ggplot2` and `plotly`

Description

Convenience function to control number of ticks in ggplot2 plots with continuous scale.

Usage

nTick_x(n = 2, min.n = 2, ..., pretty.args = list())

nTick_y(n = 2, min.n = 2, ..., pretty.args = list())

Arguments

n	An Integer giving the desired number of intervals. Non-integer values are rounded down.
min.n	nonnegative integer giving the minimal number of intervals. If min.n == 0, pretty(.) may return a single value.
...	Further parameters to be passed to appropriate function which is either scale_x_continuous for nTick_x or scale_y_continuous for nTick_y.
pretty.args	Further parameters to be passed to function pretty.

Author(s)

Vilmantas Gegzna

See Also

Pretty breakpoints: pretty.

Other spPlot functions for ggplot2: facet_wl(), ggLims(), gg_palette(), ggplot.hyperSpec()

Examples

library(spHelper)

library(spPlot)
library(ggplot2)

# Make a plot but do not print
p <- qplot_spStat(Spectra2, "gr", mean, All.linetype = "solid") + facet_grid(.~gr)

#Print the plot
p

# Correct number of ticks:
p + nTick_x(2)
p + nTick_x(2) + nTick_y(8)

GegznaV/spPlot documentation built on April 29, 2020, 11:06 p.m.