layer_histograms | R Documentation |
Display binned data
layer_histograms(
vis,
...,
width = NULL,
center = NULL,
boundary = NULL,
closed = c("right", "left"),
stack = TRUE,
binwidth
)
layer_freqpolys(
vis,
...,
width = NULL,
center = NULL,
boundary = NULL,
closed = c("right", "left"),
binwidth
)
vis |
Visualisation to modify |
... |
Visual properties used to override defaults. |
width |
The width of the bins. The default is |
center |
The center of one of the bins. Note that if center is above or
below the range of the data, things will be shifted by an appropriate
number of |
boundary |
A boundary between two bins. As with |
closed |
One of |
stack |
If |
binwidth |
Deprecated; use |
layer_bars
For bar graphs of counts at each unique
x value, in contrast to a histogram's bins along x ranges.
# Create histograms and frequency polygons with layers
mtcars %>% ggvis(~mpg) %>% layer_histograms()
mtcars %>% ggvis(~mpg) %>% layer_histograms(width = 2)
mtcars %>% ggvis(~mpg) %>% layer_freqpolys(width = 2)
# These are equivalent to combining compute_bin with the corresponding
# mark
mtcars %>% compute_bin(~mpg) %>% ggvis(~x_, ~count_) %>% layer_paths()
# With grouping
mtcars %>% ggvis(~mpg, fill = ~factor(cyl)) %>% group_by(cyl) %>%
layer_histograms(width = 2)
mtcars %>% ggvis(~mpg, stroke = ~factor(cyl)) %>% group_by(cyl) %>%
layer_freqpolys(width = 2)
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