View source: R/geom-miss-point.R
| geom_miss_point | R Documentation | 
geom_miss_point provides a way to transform and plot missing
values in ggplot2. To do so it uses methods from ggobi to display missing
data points 10\
the same axis.
geom_miss_point(
  mapping = NULL,
  data = NULL,
  prop_below = 0.1,
  jitter = 0.05,
  stat = "miss_point",
  position = "identity",
  colour = ..missing..,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  ...
)
mapping | 
 Set of aesthetic mappings created by   | 
data | 
 A data frame. If specified, overrides the default data frame defined at the top level of the plot.  | 
prop_below | 
 the degree to shift the values. The default is 0.1  | 
jitter | 
 the amount of jitter to add. The default is 0.05  | 
stat | 
 The statistical transformation to use on the data for this layer, as a string.  | 
position | 
 Position adjustment, either as a string, or the result of a call to a position adjustment function.  | 
colour | 
 the colour chosen for the aesthetic  | 
na.rm | 
 If   | 
show.legend | 
 logical. Should this layer be included in the legends?
  | 
inherit.aes | 
 If   | 
... | 
 other arguments passed on to  
  | 
Warning message if na.rm = T is supplied.
gg_miss_case() gg_miss_case_cumsum() gg_miss_fct()
gg_miss_span() gg_miss_var() gg_miss_var_cumsum() gg_miss_which()
## Not run: 
library(ggplot2)
# using regular geom_point()
ggplot(airquality,
       aes(x = Ozone,
           y = Solar.R)) +
geom_point()
# using  geom_miss_point()
ggplot(airquality,
       aes(x = Ozone,
           y = Solar.R)) +
 geom_miss_point()
 # using facets
ggplot(airquality,
       aes(x = Ozone,
           y = Solar.R)) +
 geom_miss_point() +
 facet_wrap(~Month)
## End(Not run)
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