scale_ordinal | R Documentation |
Ordinal, nominal, and logical scales are all categorical, and are treated similarly by ggvis.
scale_ordinal(
vis,
property,
domain = NULL,
range = NULL,
reverse = NULL,
round = NULL,
points = NULL,
padding = NULL,
sort = NULL,
name = property,
label = NULL,
override = NULL
)
scale_nominal(
vis,
property,
domain = NULL,
range = NULL,
reverse = NULL,
round = NULL,
points = NULL,
padding = NULL,
sort = NULL,
name = property,
label = NULL,
override = NULL
)
scale_logical(
vis,
property,
domain = NULL,
range = NULL,
reverse = NULL,
round = NULL,
points = NULL,
padding = NULL,
sort = NULL,
name = property,
label = NULL,
override = NULL
)
vis |
A ggvis object. |
property |
The name of a property, such as "x", "y", "fill", "stroke", etc. |
domain |
The domain of the scale, representing the set of data values.
For ordinal scales, a character vector; for quantitative scales, a numeric
vector of length two. Either value (but not both) may be NA, in which
case |
range |
The range of the scale, representing the set of visual values. For numeric values, the range can take the form of a two-element array with minimum and maximum values. For ordinal data, the range may by an array of desired output values, which are mapped to elements in the specified domain. The following range literals are also available: "width", "height", "shapes", "category10", "category20". |
reverse |
If true, flips the scale range. |
round |
If true, rounds numeric output values to integers. This can be helpful for snapping to the pixel grid. |
points |
If |
padding |
Applies spacing among ordinal elements in the scale range. The actual effect depends on how the scale is configured. If the points parameter is true, the padding value is interpreted as a multiple of the spacing between points. A reasonable value is 1.0, such that the first and last point will be offset from the minimum and maximum value by half the distance between points. Otherwise, padding is typically in the range [0, 1] and corresponds to the fraction of space in the range interval to allocate to padding. A value of 0.5 means that the range band width will be equal to the padding width. For positional (x and y) scales, the default padding is 0.1. For other scales, the default padding is 0.5. |
sort |
If |
name |
Name of the scale, such as "x", "y", "fill", etc. Can also be an arbitrary name like "foo". |
label |
Label for the scale. Used for axis or legend titles. |
override |
Should the domain specified by this ggvis_scale object
override other ggvis_scale objects for the same scale? Useful when domain is
manually specified. For example, by default, the domain of the scale
will contain the range of the data, but when this is TRUE, the specified
domain will override, and the domain can be smaller than the range of the
data. If |
scales
, scale_numeric
,
https://vega.github.io/vega/docs/scales/#ordinal.
Other scales:
scale_datetime()
,
scale_numeric()
p <- PlantGrowth %>% ggvis(~group, ~weight) %>% layer_points()
p
p %>% scale_nominal("x", padding = 0)
p %>% scale_nominal("x", padding = 1)
p %>% scale_nominal("x", reverse = TRUE)
p <- ToothGrowth %>% group_by(supp) %>%
ggvis(~len, fill = ~supp) %>%
layer_histograms(width = 4, stack = TRUE)
# Control range of fill scale
p %>% scale_nominal("fill", range = c("pink", "lightblue"))
# There's no default range when the data is categorical but the output range
# is continuous, as in the case of opacity. In these cases, you can
# manually specify the range for the scale.
mtcars %>% ggvis(x = ~wt, y = ~mpg, opacity = ~factor(cyl)) %>%
layer_points() %>%
scale_nominal("opacity", range = c(0.2, 1))
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