geom_bar
uses stat="count"
which makes the
height of the bar proportion to the number of cases in each group (or if the
weight
aethetic is supplied, the sum of the weights). If you want the
heights of the bars to represent values in the data, use
stat="identity"
and map a variable to the y
aesthetic.stat_count
counts the number of cases at each x position. If you want
to bin the data in ranges, you should use stat_bin
instead.
geom_bar(mapping = NULL, data = NULL, stat = "count",
position = "stack", width = NULL, binwidth = NULL, ..., na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE)stat_count(mapping = NULL, data = NULL, geom = "bar",
position = "stack", width = NULL, ..., na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE)
geom_bar
no longer has a binwidth argument - if
you use it you'll get an warning telling to you use
geom_histogram
instead.layer
. There are
three types of arguments you can use here:
color = "red"
orsize = 3
.FALSE
(the default), removes missing values with
a warning. If TRUE
silently removes missing values.NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.FALSE
, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g.
geom_bar
and
stat_count
.By default, multiple x's occurring in the same place will be stacked atop one
another by position_stack
. If you want them to be dodged
side-to-side, see position_dodge
. Finally,
position_fill
shows relative proportions at each x by stacking
the bars and then stretching or squashing to the same height.