Scale Continuous Position Range Limits 0 1 Ggplot Issue

scale_x_continuous and scale_y_continuous are the default scales for continuous x and y aesthetics. There are three variants that set the trans argument for commonly used transformations: scale_*_log10, scale_*_sqrt and scale_*_reverse.

          scale_x_continuous(name          =          waiver(),          breaks          =          waiver(),          minor_breaks          =          waiver(),          labels          =          waiver(),          limits          =          NULL,          expand          =          waiver(),          oob          =          censor,          na.value          =          NA_real_,          trans          =          "identity",          position          =          "bottom",          sec.axis          =          waiver())          scale_y_continuous(name          =          waiver(),          breaks          =          waiver(),          minor_breaks          =          waiver(),          labels          =          waiver(),          limits          =          NULL,          expand          =          waiver(),          oob          =          censor,          na.value          =          NA_real_,          trans          =          "identity",          position          =          "left",          sec.axis          =          waiver())          scale_x_log10(...)          scale_y_log10(...)          scale_x_reverse(...)          scale_y_reverse(...)          scale_x_sqrt(...)          scale_y_sqrt(...)

Arguments

name	The name of the scale. Used as axis or legend title. If `waiver()`, the default, the name of the scale is taken from the first mapping used for that aesthetic. If `NULL`, the legend title will be omitted.
breaks	One of: `NULL` for no breaks `waiver()` for the default breaks computed by the transformation object A numeric vector of positions A function that takes the limits as input and returns breaks as output
minor_breaks	One of: `NULL` for no minor breaks `waiver()` for the default breaks (one minor break between each major break) A numeric vector of positions A function that given the limits returns a vector of minor breaks.
labels	One of: `NULL` for no labels `waiver()` for the default labels computed by the transformation object A character vector giving labels (must be same length as `breaks`) A function that takes the breaks as input and returns labels as output
limits	A numeric vector of length two providing limits of the scale. Use `NA` to refer to the existing minimum or maximum.
expand	Vector of range expansion constants used to add some padding around the data, to ensure that they are placed some distance away from the axes. Use the convenience function `expand_scale()` to generate the values for the `expand` argument. The defaults are to expand the scale by 5% on each side for continuous variables, and by 0.6 units on each side for discrete variables.
oob	Function that handles limits outside of the scale limits (out of bounds). The default replaces out of bounds values with NA.
na.value	Missing values will be replaced with this value.
trans	Either the name of a transformation object, or the object itself. Built-in transformations include "asn", "atanh", "boxcox", "exp", "identity", "log", "log10", "log1p", "log2", "logit", "probability", "probit", "reciprocal", "reverse" and "sqrt". A transformation object bundles together a transform, it's inverse, and methods for generating breaks and labels. Transformation objects are defined in the scales package, and are called `name_trans`, e.g. `scales::boxcox_trans()`. You can create your own transformation with `scales::trans_new()`.
position	The position of the axis. "left" or "right" for vertical scales, "top" or "bottom" for horizontal scales
sec.axis	specify a secondary axis
...	Other arguments passed on to `scale_(x\|y)_continuous`

Details

For simple manipulation of labels and limits, you may wish to use labs() and lims() instead.

Examples

# Manipulating the default position scales lets you: # * change the axis labels p1 + scale_x_continuous("Engine displacement (L)") + scale_y_continuous("Highway MPG")

# You can also use the short-cut labs(). # Use NULL to suppress axis labels p1 + labs(x = NULL, y = NULL)

# * modify the axis limits p1 + scale_x_continuous(limits = c(2, 6))

#> Warning: Removed 27 rows containing missing values (geom_point).

p1 + scale_x_continuous(limits = c(0, 10))

# you can also use the short hand functions `xlim()` and `ylim()` p1 + xlim(2, 6)

#> Warning: Removed 27 rows containing missing values (geom_point).

# * choose where the ticks appear p1 + scale_x_continuous(breaks = c(2, 4, 6))

# * add what labels they have p1 + scale_x_continuous( breaks = c(2, 4, 6), label = c("two", "four", "six") )

# Typically you'll pass a function to the `labels` argument. # Some common formats are built into the scales package: df <- data.frame( x = rnorm(10) * 100000, y = seq(0, 1, length.out = 10) ) p2 <- ggplot(df, aes(x, y)) + geom_point() p2 + scale_y_continuous(labels = scales :: percent)