'bin2d' stat requires x,y (weight is optional)
The "Five Number Summary" requires x,y (weight is optional)
Correlation plot builder.
Shows plot in Java Swing Window.
Uses Batik mapping for SVG rendering.
Shows plot in Java Swing Window.
Uses JavaFx Scene mapping for SVG rendering.
Geom options
to pass as a value of geom
parameter of layer
functions
like:
lets_plot() + stat_density(..., geom = Pos.point(), ... )
Add a line with specified slope and intercept to the plot.
Display the development of quantitative values over an interval. This is the continuous analog of
geom_bar.
Display a bar chart which makes the height of the bar proportional to the number of observed variable values,
mapped to x axis.
Divide the plane into a grid and color the bins by the count of cases in them.
Display the distribution of data based on a five number summary ("minimum", first quartile (Q1), median,
third quartile (Q3), and "maximum"),
and "outlying" points individually.
Display contours of a 3d surface in 2d.
Fill contours of a 3d surface in 2d.
Display bars with horizontal median line.
Display a density estimate, which is a smoothed version of the histogram.
Display density function contour.
Fill density function contour.
Error bars defined by an upper and lower value ymin and ymax.
Display a line chart which makes the y value proportional to the number of observed variable values, mapped
to x axis.
Display a 1d distribution by dividing variable mapped to x axis into bins and counting the number of
observations in each bin.
Add a straight horizontal line to the plot.
Jittered points, especially for discrete plots or dense plots.
Connect points in the order of the variable on the x axis.
In the case points need to be connected in the order in which they appear in the data, use 'geom_path'.
Display a line range defined by an upper and lower value.
Display a filled closed path defined by the vertex coordinates of individual polygons.
'geom_map' is essentially the same as 'geom_polygon' but uses 'coord_map' as default coordinate system.
Connect observations in the order in which they appear in the data.
Draw points defined by an x and y coordinate.
Add a vertical line defined by upper and lower value with midpoint at y location.
Display a filled closed path defined by the vertex coordinates of individual polygons.
Display rectangles defined by the center of the tile (x, y).
This is a high performance special function for same-sized tiles.
Much faster than geom_tile but doesn't support width/height and color.
Display a rectangle defined by the four corners (xmin, xmax, ymin and ymax).
Display a y interval defined by ymin and ymax.
Draw a straight line segment between points (x, y) and (xend, yend).
Add a smoothed conditional mean.
Connect observations in the order in which they appear in the data by stairs.
Add a text directly to the plot.
Display a rectangle defined by the center of the tile and its size (x, y, width, height).
Add a straight vertical line to the plot.
(extensions in package jetbrains.letsPlot.intern)
Used in IDEA Plugin
Params:
method - smoothing method: lm, glm, gam, loess, rlm
n (80) - number of points to evaluate smoother at
se (TRUE ) - display confidence interval around smooth?
level (0.95) - level of confidence interval to use
deg ( >= 1 ) - degree of polynomial for regression
seed - random seed for LOESS sampling
maxN (1000) - maximum points in DF for LOESS
Use theme() to modify individual components of a theme,
allowing you to control the appearance of all non-data components of the plot.