Description Usage Arguments Details Value Examples
Plots subsets of your data using ggplot
.
1 2 3 4 5 6 |
formula |
a two-sided formula. The right hand side must contain only one term (which can be an interaction, e.g. |
data |
a data frame |
... |
other arguments passed into (all) geoms |
subset |
an optional vector specifying a subset of the data |
smooth |
logical (not yet implemented!) |
The data is split into subsets for each unique value of the right hand side of formula
.
Each term on the left hand side of formula
is evaluated within that subset, and the results
are used to create a layer
.
By default, geom
s are chosen as follows: if the left hand side term evaluates to a character or factor,
a histogram of proportions is plotted using geom_histogram
. If the term is numeric and
always returns a single value (e.g. mean(y)
) then a line is plotted; if it always returns two values,
vertical lines are used; otherwise points are plotted. Certain functions are automagically recognized, e.g.
ci
creates a geom_errorbar
.
The default method simply calls ffplot.formula
, passing its first argument as data
. This plays nicely
with dplyr
.
A ggplot object which can be printed or modified.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | data(diamonds)
d30 <- diamonds[1:30,]
# numeric y variables:
ffplot(price ~ carat, d30)
ffplot(price ~ color, d30)
# non-numeric y:
ffplot(cut ~ color, d30)
# a function of your data:
ffplot(range(price) ~ color, d30)
# confidence intervals
ffplot(ci(price, 0.95) ~ color, d30)
# multiple plots:
ffplot(price + ci(price) ~ color, d30)
# choosing geoms:
ffplot(line(mean(price)) + ci(price, .99) ~ color, d30)
ffplot(violin(price) ~ color, diamonds)
# adding options:
ffplot(price, diamonds, geom = "point", shape = 3)
# adding options per y variable:
ffplot(point(price, alpha = 0.2, color = "red") + smooth(price, color = "orange", size = 2, se = TRUE) ~ carat, diamonds)
## Not run:
# with dplyr
library(dplyr)
diamonds %>% ffplot(cut ~ color)
## End(Not run)
# Facetting:
ffplot(price ~ carat | color, diamonds)
ffplot(smooth(mean(price)) ~ carat | color + cut, diamonds)
|
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