Function reference • plotrix

All functions

ablineclip(): Add a straight line to a plot

add.ps(): add p-values from t-tests

addtable2plot(): Add a table of values to a plot

arctext(): Display text on a circular arc

axis.break(): Place a "break" mark on an axis

axis.mult(): Display an axis with values having a multiplier

barNest(): Display a nested breakdown of numeric values

barlabels(): Label the bars on a barplot

barp(): A bar plotting routine

battleship.plot(): Display a matrix of values as the widths of stacked rectangles

bin.wind.records(): Classify wind direction and speed records

binciW(): Binomial confidence limits

binciWl(): Lower binomial confidence limit

binciWu(): Upper binomial confidence limit

box.heresy(): Display a sort of box plot

boxed.labels(): Place labels in boxes

brkdn.plot(): A point/line plotting routine

brkdnNest(): Perform a nested breakdown of numeric values

bumpchart(): Display a "bumps" (sequential ranking) chart

categoryReshape(): Convert object label/attribute label coding.

centipede.plot(): Display a centipede plot

clean.args() remove.args(): Remove inappropriate arguments from an argument list

clock24.plot(): Plot values on a 24 hour "clockface"

clplot(): Plot lines with colors determined by values.

cluster.overplot(): Shift overlying points into clusters

clustered.dotplots(): Display the frequencies of two categories

color.axis(): Display an axis in a specified color

color.gradient(): Calculate an arbitrary sequence of colors

color.id(): Identify closest match to a color

color.legend(): Legend matching categories or values to colors

color.scale(): Turn values into colors.

color.scale.lines(): Line segments with scaled colors

color2D.matplot(): Display a numeric matrix as color matrix

corner.label(): Find corner locations and optionally display a label

count.overplot(): Show overlying points as counts

cylindrect(): Display an apparent cylinder

death_reg: Death registrations from 1996 to 2010

dendroPlot(): Display distributions as dendrites

densityGrid(): Display a matrix of cell values as symbols.

diamondplot(): Plot multiple variables as polygons on a radial grid

dispersion(): Display a measure of dispersion.

do.first: Execute a graphic function on a plot

dotplot.mtb(): Minitab style dotplots.

draw.arc(): Draw arc

draw.circle(): Draw a circle

draw.ellipse(): Draw ellipse

draw.radial.line(): Draw a radial line

draw.tilted.sector(): Display a 3D pie sector

drawNestedBars(): Display nested bars

drawSectorAnnulus(): Display a radial pie sector

ehplot(): Engelmann-Hecker-Plot - EH-Plot

election(): Assign party members to seats

emptyspace(): Find an empty space on a plot

fan.plot(): Display a fan plot

feather.plot(): Display vectors along a horizontal reference line

fill.corner(): Fill a "corner" of a matrix with values

find_max_cell(): Maximum (or minimum) value cell in a matrix.

floating.pie(): Display a floating pie chart

fullaxis(): Add an axis with a line to the edge of the plot

gantt.chart(): Display a Gantt chart

gap.barplot(): Display a barplot with a gap (missing range) on one axis

gap.boxplot(): Display a boxplot with a gap (missing range)

gap.plot(): Display a plot with one or two gaps (missing ranges) on one axis

gap_barp(): Display a barplot with a gap (missing range) on one axis

get.breaks(): Get the breakpoints for a weighted histogram

get.gantt.info(): Gather the information to create a Gantt chart

get.segs(): Calculate the midpoints and limits for a centipede plot

get.soil.texture(): Enter soil texture data

get.tablepos(): Get the position for a legend or table

get.triprop(): Enter three proportion data - usually soil textures

getFigCtr(): Get coordinates in the figure region in user units.

getIntersectList(): Enter a set intersection list

getMarginWidth(): Find the margin width necessary to fit text or a legend next to a plot

getYmult(): Correct for aspect and coordinate ratio

get_axispos3d(): Get axis positions on a 3D plot

gradient.rect(): Display a rectangle filled with an arbitrary color gradient

hexagon(): Draw a hexagon

histStack(): Histogram "stacked" by categories

intersectDiagram(): Display set intersections

jiggle(): Calculate equally spaced values within a range.

joyPlot(): Display a series of density curves.

kiteChart(): Magnitude by position chart.

l2010: World lightning strike data from 2010

labbePlot(): Display a L'Abbe plot

ladderplot(): Ladder Plot

legendg(): Legend with grouped bars, lines or symbols

lengthKey(): Key for interpreting lengths in a plot

makeDensityMatrix(): Compute a matrix of counts from a list of x,y positions

makeIntersectList(): Count set intersections

maxEmptyRect(): Find an empty space on a plot

mtext3d(): Display text in the margins of a 3D plot

multhist(): Plot a multiple histogram, as a barplot

multivari(): Function to draw a multivari chart

multsymbolbox(): Draw boxes filled with symbols

oz.windrose(): Display an Australian wind rose

oz.windrose.legend(): Display an Australian wind rose legend

p2p_arrows(): Draw arrows between points

panes(): Prepare a "panel" type layout

pasteCols(): Paste the columns of a matrix together

paxis3d(): Display text in the margins of a 3D plot

perspx(): Display perspective plot

pie.labels(): Place labels on a pie chart

pie3D(): Display a 3D pie chart

pie3D.labels(): Display labels on a 3D pie chart

placeLabels(): Place labels in boxes

plotCI(): Plot confidence intervals/error bars

plotH(): Scatterplot with histogram-like bars.

plot_bg(): Add a background color to a plot

plotrix-package plotrix: Specialized plots and plotting accessories

polar.plot(): Plot values on a circular grid of 0 to 360 degrees

polygon.shadow(): Display a shadow effect for an arbitrary polygon

print(<brklist>): Display the output of brkdnNest

propbrk(): Calculate the proportion of specified values in a vector

psegments3d(): Draw segments on a 3D plot

ptext3d(): Display text on a 3D plot

pyramid.plot(): Pyramid plot

radial.grid(): Display a radial grid

radial.pie(): Plot sectors/annuli on a circular grid of 0 to 2*pi radians

radial.plot(): Plot values on a circular grid of 0 to 2*pi radians

radial.plot.labels(): Display labels on a circular grid

radialtext(): Display text in a radial line

raw.means.plot() raw.means.plot2(): raw.means.plot: Raw-Means Plots for Experimental Designs

rectFill(): Draw a rectangle filled with symbols

rescale(): Scale numbers into a new range

revaxis(): Plot with axis direction(s) reversed

ruginv(): Add an Inverse Rug to a Plot

seats(): Arrange N seats in M semicircular rows

size_n_color(): Display circles with specified size and color

sizeplot(): Plot with repeated symbols by size

sizetree(): Display a hierarchical breakdown of disjunct categories

sliceArray(): Slice an array

smoothColors(): Build a vector of color values

soil.texture(): Soil texture triangle plot

soil.texture.uk(): Soil texture triangle plot using UK conventions

soils: Soil texture data from 125 soils

spread.labels(): Spread labels for irregularly spaced values

spreadout(): Spread out a vector of numbers to a minimum interval

stackpoly(): Display the columns of a matrix or data frame as stacked polygons

staircase.plot(): Display a staircase plot

staircasePlot(): Display a staircase plot

starPie(): A pie-like graphic object

staxlab(): Place staggered or angled labels on an axis

std.error(): Calculate standard error of the mean

sumbrk(): Count specified values in a vector

symbolbarplot(): barplot filled with symbols

symbolbox(): Draw a box filled with symbols

tab.title(): Display the title of a plot as a colored tab

taylor.diagram(): Taylor diagram

textbox(): Add text box

thigmophobe(): Find the direction away from the closest point

thigmophobe.labels(): Place labels away from the nearest point

triax.abline(): Lines for triangle plot

triax.fill(): Triangle plot fill

triax.frame(): Triangle plot frame

triax.plot(): Triangle plot

triax.points(): Triangle plot points

tsxpos(): Calculate equispaced x positions.

twoord.plot(): Plot with two ordinates

twoord.stackplot(): Multiple (stack) plot with two ordinates

valid.n(): Find the number of valid (not NA) values

vectorField(): Display magnitude/direction vectors

violin_plot(): Display a "violin" plot

weighted.hist(): Display a weighted histogram

zoomInPlot(): Display a plot with a rectangular section expanded in an adjacent plot