View source: R/violin_functions.R
violin | R Documentation |
Draw violins on plots. Determines the values of the variable to evaluate (x_values) and the resulting evaluation values (y_values) of the distribution. these are the raw values
violin( x, location = NULL, rotate = TRUE, type = NULL, wex = 1, values = NULL, nvalues = NULL, side = "both", probs = c(0.025, 0.25, 0.5, 0.75, 0.975), ... ) draw_probs(x, dist_values, violin_values, probs) draw_violin(values, type = NULL, ...) violin_values( dist_values, location = NULL, rotate = TRUE, type = "l", wex = 1, side = "both" ) violin_length_values(dist_values, type = "l", side = "both") violin_width_values(dist_values, type = "l", wex = 1, side = "both") dist_values(x, values = NULL, nvalues = NULL, type = "l") dist_x_values(x, nvalues) dist_y_values(x, xvals) default_nvalues(x, type = "l", nrf = NULL, minn = NULL, maxn = NULL) default_violin_type(x = NULL) violin_location(location = NULL, rotate = TRUE)
x |
The vector of values to be summarized |
location |
The graphical location with respect to the axes where the violin is to be placed. Default assumption is for the x-axis, but can be a named-by-axis vector. |
rotate |
Logical about if to rotate axes, default is TRUE. |
type |
Character indicating the type of plotting. Defaults to NULL which defines itself then based on the support for x to either "l" (line) for continuous and "r" (histogram-like rectangles) for non-continuous/integer-conformable |
wex |
Numeric height scale that transforms the distribution evalution to the plotting axis value. now wex for width expansion |
values |
desired values to evaluate x. |
nvalues |
Integer number of values to use for the drawing of the violin. If NULL, set by vtype. |
side |
"both" puts the dist on both sides of the violin. |
probs |
which probabilities to draw horizontal bars across. |
... |
Additional arguments to pass to polygon or rect. |
dist_values |
x and y distribution values. |
violin_values |
x and y violin values. |
xvals |
x values |
minn, maxn, nrf |
min and max for n and the n reduction factor |
violin_location: data.frame of x and y to locate the violin dist_values: data.frame of x and y to from the distribution violin_values: data.frame of x and y to plot
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