Points: Number of cases in each location reflected in the point size

In shipunov: Miscellaneous Functions from Alexey Shipunov

Number of cases in each location reflected in the point size

Description

Number of cases in each location reflected in the point size

Usage

Points(x, y, pch=1, centers=FALSE, scale=1, cex.min=1, col=1,
 na.omit=TRUE, plot=TRUE, ...)
PPoints(groups, x, y, cols=as.numeric(groups), pchs=as.numeric(groups),
 na.omit.all=TRUE, ...)

Arguments

x, y	Coordinates
pch	Point type
pchs	Types of point groups
centers	If TRUE, show centers of each location as a pixel-size dot (pch=".")
cex.min	Minimal point size
col	Color of points
cols	Color of point groups
na.omit	If TRUE (default), skip data points with NAs
plot	If FALSE, does not plot
na.omit.all	If TRUE (default), skip data points and corresponding factor values with NAs, then make 'na.omit' for internal Points() FALSE
scale	Scale factor for point size
groups	Factor defining groups
...	Points() passes other arguments to points(), PPoints() passes other arguments to Points()

Details

Frequently, more then one data point is located in one coordinate place (so called "overplotting"). How to show overplotting? One way is 'jitter()', these is also (really advanced) 'sunflowerplot()'. 'Points()' does it in its own way: number of cases in each point will be reflected in the point size. 'Points()' is a low-level graphic function, analogous to 'points()'.

'PPoints()' is the same as 'Points()' but for multiple subgroups.

To prettify plot, it is recommended to change 'scale' and optionally also 'cex.min'.

Alternative is the base R 'sunflowerplot()' but it is hard to read and there is no possibility to show multiple groups in data. Another alternative might be points with transparent color.

Value

Invisibly returns vector of "multiplication indexes", in case of PPoints() it is group-wise so overplotting between groups does not count. Please keep in mind that these indexes only indicate how many times the point is overplotted, but do not show groups of duplicates. Use Alldups() for groups.

Author(s)

Alexey Shipunov

See Also

jitter, sunflowerplot

Examples

## colors modified via palette()
plot(iris[, 1:2], type="n")
palette(rainbow(3))
PPoints(iris[, 5], iris[, 1], iris[, 2], pchs=0, scale=0.7)
palette("default")
## now with centers, colors default, pch by group, and one NA
iris[1, 1] <- NA
plot(iris[, 1:2], type="n")
PPoints(iris[, 5], iris[, 1], iris[, 2], scale=0.7, centers=TRUE)
data(iris) ## to restore default embedded object

shipunov documentation built on Feb. 16, 2023, 9:05 p.m.