R for Data Science

Warning message:
"The shape palette can deal with a maximum of 6 discrete values because more
than 6 becomes difficult to discriminate
i you have requested 7 values. Consider specifying shapes manually if you need
  that many have them."
Warning message:
"Removed 62 rows containing missing values (`geom_point()`)."

Warning message:
"Using size for a discrete variable is not advised."
Warning message:
"Using alpha for a discrete variable is not advised."

[1] "hello"

`geom_smooth()` using method = 'loess' and formula = 'y ~ x'

`geom_smooth()` using method = 'loess' and formula = 'y ~ x'
`geom_smooth()` using method = 'loess' and formula = 'y ~ x'

`geom_smooth()` using method = 'loess' and formula = 'y ~ x'

`geom_smooth()` using method = 'loess' and formula = 'y ~ x'
`geom_smooth()` using method = 'loess' and formula = 'y ~ x'
`geom_smooth()` using method = 'loess' and formula = 'y ~ x'

`geom_smooth()` using method = 'loess' and formula = 'y ~ x'

`geom_smooth()` using method = 'loess' and formula = 'y ~ x'

`geom_smooth()` using method = 'loess' and formula = 'y ~ x'
`geom_smooth()` using method = 'loess' and formula = 'y ~ x'
`geom_smooth()` using method = 'loess' and formula = 'y ~ x'
`geom_smooth()` using method = 'loess' and formula = 'y ~ x'
`geom_smooth()` using method = 'loess' and formula = 'y ~ x'

facet_wrap               package:ggplot2               R Documentation

_W_r_a_p _a _1_d _r_i_b_b_o_n _o_f _p_a_n_e_l_s _i_n_t_o _2_d

_D_e_s_c_r_i_p_t_i_o_n:

     'facet_wrap()' wraps a 1d sequence of panels into 2d. This is
     generally a better use of screen space than 'facet_grid()' because
     most displays are roughly rectangular.

_U_s_a_g_e:

     facet_wrap(
       facets,
       nrow = NULL,
       ncol = NULL,
       scales = "fixed",
       shrink = TRUE,
       labeller = "label_value",
       as.table = TRUE,
       switch = deprecated(),
       drop = TRUE,
       dir = "h",
       strip.position = "top"
     )
     
_A_r_g_u_m_e_n_t_s:

  facets: A set of variables or expressions quoted by 'vars()' and
          defining faceting groups on the rows or columns dimension.
          The variables can be named (the names are passed to
          'labeller').

          For compatibility with the classic interface, can also be a
          formula or character vector. Use either a one sided formula,
          '~a + b', or a character vector, 'c("a", "b")'.

nrow, ncol: Number of rows and columns.

  scales: Should scales be fixed ('"fixed"', the default), free
          ('"free"'), or free in one dimension ('"free_x"',
          '"free_y"')?

  shrink: If 'TRUE', will shrink scales to fit output of statistics,
          not raw data. If 'FALSE', will be range of raw data before
          statistical summary.

labeller: A function that takes one data frame of labels and returns a
          list or data frame of character vectors. Each input column
          corresponds to one factor. Thus there will be more than one
          with 'vars(cyl, am)'. Each output column gets displayed as
          one separate line in the strip label. This function should
          inherit from the "labeller" S3 class for compatibility with
          'labeller()'. You can use different labeling functions for
          different kind of labels, for example use 'label_parsed()'
          for formatting facet labels. 'label_value()' is used by
          default, check it for more details and pointers to other
          options.

as.table: If 'TRUE', the default, the facets are laid out like a table
          with highest values at the bottom-right. If 'FALSE', the
          facets are laid out like a plot with the highest value at the
          top-right.

  switch: By default, the labels are displayed on the top and right of
          the plot. If '"x"', the top labels will be displayed to the
          bottom. If '"y"', the right-hand side labels will be
          displayed to the left. Can also be set to '"both"'.

    drop: If 'TRUE', the default, all factor levels not used in the
          data will automatically be dropped. If 'FALSE', all factor
          levels will be shown, regardless of whether or not they
          appear in the data.

     dir: Direction: either '"h"' for horizontal, the default, or
          '"v"', for vertical.

strip.position: By default, the labels are displayed on the top of the
          plot. Using 'strip.position' it is possible to place the
          labels on either of the four sides by setting 'strip.position
          = c("top", "bottom", "left", "right")'

_E_x_a_m_p_l_e_s:

     p <- ggplot(mpg, aes(displ, hwy)) + geom_point()
     
     # Use vars() to supply faceting variables:
     p + facet_wrap(vars(class))
     
     # Control the number of rows and columns with nrow and ncol
     p + facet_wrap(vars(class), nrow = 4)
     
     
     # You can facet by multiple variables
     ggplot(mpg, aes(displ, hwy)) +
       geom_point() +
       facet_wrap(vars(cyl, drv))
     
     # Use the `labeller` option to control how labels are printed:
     ggplot(mpg, aes(displ, hwy)) +
       geom_point() +
       facet_wrap(vars(cyl, drv), labeller = "label_both")
     
     # To change the order in which the panels appear, change the levels
     # of the underlying factor.
     mpg$class2 <- reorder(mpg$class, mpg$displ)
     ggplot(mpg, aes(displ, hwy)) +
       geom_point() +
       facet_wrap(vars(class2))
     
     # By default, the same scales are used for all panels. You can allow
     # scales to vary across the panels with the `scales` argument.
     # Free scales make it easier to see patterns within each panel, but
     # harder to compare across panels.
     ggplot(mpg, aes(displ, hwy)) +
       geom_point() +
       facet_wrap(vars(class), scales = "free")
     
     # To repeat the same data in every panel, simply construct a data frame
     # that does not contain the faceting variable.
     ggplot(mpg, aes(displ, hwy)) +
       geom_point(data = transform(mpg, class = NULL), colour = "grey85") +
       geom_point() +
       facet_wrap(vars(class))
     
     # Use `strip.position` to display the facet labels at the side of your
     # choice. Setting it to `bottom` makes it act as a subtitle for the axis.
     # This is typically used with free scales and a theme without boxes around
     # strip labels.
     ggplot(economics_long, aes(date, value)) +
       geom_line() +
       facet_wrap(vars(variable), scales = "free_y", nrow = 2, strip.position = "top") +
       theme(strip.background = element_blank(), strip.placement = "outside")

`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

ggplot(data = <DATA>) + 
  <GEOM_FUNCTION>(
     mapping = aes(<MAPPINGS>),
     stat = <STAT>, 
     position = <POSITION>
  ) +
  <COORDINATE_FUNCTION> +
  <FACET_FUNCTION>