Package 'ContourFunctions'

Title: Create Contour Plots from Data or a Function
Description: Provides functions for making contour plots. The contour plot can be created from grid data, a function, or a data set. If non-grid data is given, then a Gaussian process is fit to the data and used to create the contour plot.
Authors: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
License: GPL-3
Version: 0.1.2
Built: 2025-01-09 06:59:51 UTC
Source: CRAN

Help Index


Make contour plot from data or function

Description

Simpler function for making contours with cf package. Won't give argument completion, so all must be specified

Usage

cf(..., gg = FALSE)

Arguments

...

Arguments to be passed to cf_func or cf_data based on data type of first argument. If D is given as argument, then it is passed to cf_highdim.

gg

Should ggplot2 be used instead of base graphics?

Value

Whatever is returned from other function, probably nothing. Will be a ggplot2 object if using gg=TRUE.

Examples

cf(function(x){x[1]^2 - x[2]})
x <- runif(20)
y <- runif(20)
z <- exp(-(x-.5)^2-5*(y-.5)^2)# + rnorm(20,0,.05)
cf(x,y,z)
cf(function(x){x[1]^2 - x[2]}, D=3)

Plot 2D contour slices of four dimensional functions

Description

Plots a grid of contour plots. Each contour plot is a contour over two dimensions with the remaining two dimensions set to a value. See cf_highdim for functions with more than 4 dimensions.

Usage

cf_4dim(
  func,
  over = c(1, 2),
  nover = 5,
  nover1 = nover,
  nover2 = nover,
  low = rep(0, 4),
  high = rep(1, 4),
  same_scale = TRUE,
  n = 20,
  batchmax = 1,
  var_names = c(expression(), lapply(1:4, function(ti) bquote(x[.(ti)]))),
  pts = NULL,
  axes = TRUE,
  key.axes,
  key.title,
  nlevels = 20,
  color.palette = cm.colors.strong,
  edge_width = 0.04,
  cex.var_names = 1.3,
  bar = TRUE,
  bar_width = 0.2,
  over_srt = c(0, 90),
  ...
)

Arguments

func

A four-dimensional function to plot contours of

over

Indices of the dimensions used for the outer grid

nover

Number of grid points for the outer grid dimensions

nover1

Number of grid points for the first outer grid dimension

nover2

Number of grid points for the second outer grid dimension

low

Low input value for each dimension

high

High input value for each dimension

same_scale

Should all contour plots be on the same scale? Takes longer since it has to precalculate range of outputs.

n

Number of points in grid on each dimension

batchmax

number of datapoints that can be computed at a time

var_names

Variable names to add to plot

pts

Matrix of points to show on plot

axes

axes

key.axes

key for bar plot

key.title

statements which add titles for the plot key.

nlevels

Number of levels in contour scale

color.palette

Color palette used for contour plots

edge_width

How wide should edges with variable names be? As proportion of screen section to left of bar. Either single value for both edges, or length two vector.

cex.var_names

Size of var_names printed on edges.

bar

Should a bar be added on right when all on same_scale?

bar_width

How wide should bar section of plot be?

over_srt

Degrees of rotation for the axis labels. Vector of length two.

...

Arguments passed to cf_func, and then probably through to cf_grid

Examples

cf_4dim(
  function(x) {x[1] + x[2]^2 + sin(2*pi*x[3])}
)

cf_4dim(function(x) x[1]*x[3] + sin(x[2]*x[4]), color.palette=heat.colors,
        nover1=3, nover2=8, cex.var_names = .5)
        
cf_4dim(function(x) x[1]*x[3] + sin(x[2]*x[4]), color.palette=topo.colors,
        nover1=3, nover2=8, cex.var_names = 1, over_srt = c(90,0),
        edge_width=c(.1, .2), nlevels = 5)

Contour plot from data

Description

Makes filled contour plot from data without sidebar by interpolating with a Gaussian process model. The model is passed to cf_func to make the contour plot.

Usage

cf_data(
  x,
  y = NULL,
  z = NULL,
  xlim = NULL,
  ylim = NULL,
  xylim = NULL,
  fit = "",
  gg = FALSE,
  show_points,
  family = "gaussian",
  ...
)

Arguments

x

either just x data, x and y data, or x, y and z data

y

either y data, z data, or null

z

either z data or null

xlim

x limits for the contour plot, will be set to data limits +- 5% if not specified

ylim

y limits for the contour plot, will be set to data limits +- 5% if not specified

xylim

x and y limits for the contour plot

fit

Method to fit a model with. Current options are laGP (default), mlegp, gam (uses mgcv), and locfit. laGP is faster but might cause trouble.

gg

If TRUE, will use ggplot2 by calling gcf_func

show_points

Whether the input data points should be shown on the plot. If missing, is TRUE when there are more than 300 points.

family

The distribution/link to be used in fitting. Only available when fit is locfit or mgcv.

...

passed to cf_func

Examples

x <- runif(20)
y <- runif(20)
z <- exp(-(x-.5)^2-5*(y-.5)^2)
cf_data(x,y,z)

Makes filled contour plot from function

Description

A contour plot of the given function without sidebar by default. It calls the function 'cf_grid' to make the actual plot.

Usage

cf_func(
  fn0,
  n = 100,
  xlim = c(0, 1),
  ylim = c(0, 1),
  xylim = NULL,
  batchmax = 1,
  out.col.name = NULL,
  out.name = NULL,
  pts = NULL,
  gg = FALSE,
  ...
)

Arguments

fn0

function to plot, first argument must be two-dimensional

n

number of points in each dimension

xlim

x limits for the contour plot

ylim

y limits for the contour plot

xylim

x and y limits for the contour plot, use when both are same #@param mainminmax whether the min and max values should be shown in the title of plot

batchmax

number of datapoints that can be computed at a time

out.col.name

if a column needs to be selected from the function, specify it

out.name

Selects with a $ the name from output to be used, for lists and data frames #@param pretitle Text to be preappended to end of plot title #@param posttitle Text to be appended to end of plot title #@param title Title for the plot #@param mainminmax_minmax Whether [min,max]= should be shown in title or just the numbers

pts

Points to plot on top of contour

gg

Should ggplot2 be used? Will use gcf_grid() instead of cf_grid().

...

Passed to cf_grid

References

[1] filled.contour R function, copied function but removed part for sidebar

[2] http://stackoverflow.com/questions/16774928/removing-part-of-a-graphic-in-r, answer by P Lapointe

Examples

cf_func(function(x){x[1]*x[2]})
cf_func(function(x)(exp(-(x[1]-.5)^2-5*(x[2]-.5)^2)))
cf_func(function(xx){exp(-sum((xx-.5)^2/.1))}, bar=TRUE)
cf_func(function(xx){exp(-sum((xx-.5)^2/.1))}, bar=TRUE, mainminmax=TRUE)
cf_func(function(x)(exp(-(x[1]-.5)^2-5*(x[2]-.5)^2)), with_lines=TRUE)

Create a contour plot from a grid of data

Description

Makes filled contour plot with an optional sidebar, essentially filled.contour function. This version uses the split.screen() function to add the sidebar if bar is TRUE. By default it won't show the bar but will show the min and max values in the plot title along with their colors. Using this function will make other functions such as points() called afterwards not put points where you expect. Pass anything you want added to the plot area to afterplotfunc as a function to get it to work properly.

Usage

cf_grid(
  x = seq(0, 1, length.out = nrow(z)),
  y = seq(0, 1, length.out = ncol(z)),
  z,
  xlim = range(x, finite = TRUE),
  ylim = range(y, finite = TRUE),
  zlim = range(z, finite = TRUE),
  levels = pretty(zlim, nlevels),
  nlevels = 20,
  color.palette = cm.colors.strong,
  col = color.palette(length(levels) - 1),
  plot.title,
  plot.axes,
  key.title,
  key.axes,
  asp = NA,
  xaxs = "i",
  yaxs = "i",
  las = 1,
  axes = TRUE,
  frame.plot = axes,
  bar = F,
  pts = NULL,
  reset.par = TRUE,
  pretitle = "",
  posttitle = "",
  main = NULL,
  mainminmax = !bar,
  mainminmax_minmax = TRUE,
  afterplotfunc = NULL,
  cex.main = par()$cex.main,
  par.list = NULL,
  xaxis = TRUE,
  yaxis = TRUE,
  with_lines = FALSE,
  lines_only = FALSE,
  ...
)

Arguments

x

x values, must form grid with y. If not given, it is assumed to be from 0 to 1.

y

y values, must form grid with x. If not given, it is assumed to be from 0 to 1.

z

z values at grid locations

xlim

x limits for the plot.

ylim

y limits for the plot.

zlim

z limits for the plot.

levels

a set of levels which are used to partition the range of z. Must be strictly increasing (and finite). Areas with z values between consecutive levels are painted with the same color.

nlevels

if levels is not specified, the range of z, values is divided into approximately this many levels.

color.palette

A color palette function to be used to assign colors in the plot. Defaults to cm.colors.strong. Other options include rainbow, heat.colors, terrain.colors, topo.colors, and function(x) {gray((1:x)/x)}.

col

an explicit set of colors to be used in the plot. This argument overrides any palette function specification. There should be one less color than levels

plot.title

statements which add titles to the main plot.

plot.axes

statements which draw axes (and a box) on the main plot. This overrides the default axes.

key.title

statements which add titles for the plot key.

key.axes

statements which draw axes on the plot key. This overrides the default axis.

asp

the y/x aspect ratio, see plot.window.

xaxs

the x axis style. The default is to use internal labeling.

yaxs

the y axis style. The default is to use internal labeling.

las

the style of labeling to be used. The default is to use horizontal labeling.

axes

logical indicating if axes should be drawn, as in plot.default.

frame.plot

logical indicating if a box should be drawn, as in plot.default.

bar

Should a bar showing the output range and colors be shown on the right?

pts

Points to plot on top of contour

reset.par

Should the graphical parameters be reset before exiting? Usually should be unless you need to add something to the plot afterwards and bar is TRUE.

pretitle

Text to be preappended to end of plot title

posttitle

Text to be appended to end of plot title

main

Title for the plot

mainminmax

whether the min and max values should be shown in the title of plot

mainminmax_minmax

Whether [min,max]= should be shown in title or just the numbers

afterplotfunc

Function to call after plotting, such as adding points or lines.

cex.main

The size of the main title. 1.2 is default.

par.list

List of options to pass to par

xaxis

Should x axis be added?

yaxis

Should y axis be added?

with_lines

Should lines be added on top of contour to show contours?

lines_only

Should no fill be used, only contour lines?

...

additional graphical parameters, currently only passed to title().

References

[1] filled.contour R function, copied function but removed part for sidebar

[2] http://stackoverflow.com/questions/16774928/removing-part-of-a-graphic-in-r, answer by P Lapointe

Examples

x <- y <- seq(-4*pi, 4*pi, len = 27)
r <- sqrt(outer(x^2, y^2, "+"))
cf_grid(cos(r^2)*exp(-r/(2*pi)))
cf_grid(r, color.palette=heat.colors, bar=TRUE)
cf_grid(r, color.palette=function(x) {gray((1:x)/x)}, bar=TRUE)

Plot 2D contour slices of higher dimensional functions

Description

Plots a grid of contour plots. Each contour plot is a contour over two dimensions with the remaining dimensions set to the baseline value. Similar to plots created in Hwang et al. (2018).

Usage

cf_highdim(
  func,
  D,
  low = rep(0, D),
  high = rep(1, D),
  baseline = (low + high)/2,
  same_scale = TRUE,
  n = 20,
  batchmax = 1,
  var_names = c(expression(), lapply(1:D, function(ti) bquote(x[.(ti)]))),
  pts = NULL,
  average = FALSE,
  average_reps = 10000,
  axes = TRUE,
  key.axes,
  key.title,
  nlevels = 20,
  levels = pretty(zlim, nlevels),
  color.palette = cm.colors.strong,
  col = color.palette(length(levels) - 1),
  edge_width = 0.04,
  cex.var_names = 1.3,
  bar = TRUE,
  ...
)

Arguments

func

Function to plot contours of

D

Input dimension of function

low

Low input value for each dimension

high

High input value for each dimension

baseline

Baseline input value for each dimension

same_scale

Should all contour plots be on the same scale?

n

Number of points in grid on each dimension

batchmax

number of datapoints that can be computed at a time

var_names

Variable names to add to plot Takes longer since it has to precalculate range of outputs.

pts

Matrix of points to show on plot

average

Should the background dimensions be averaged over instead of set to baseline value? Much slower.

average_reps

Number of points to average over when using average

axes

logical indicating if axes should be drawn, as in plot.default.

key.axes

statements which draw axes on the plot key. This overrides the default axis.

key.title

statements which add titles for the plot key.

nlevels

if levels is not specified, the range of z, values is divided into approximately this many levels.

levels

a set of levels which are used to partition the range of z. Must be strictly increasing (and finite). Areas with z values between consecutive levels are painted with the same color.

color.palette

A color palette function to be used to assign colors in the plot. Defaults to cm.colors.strong. Other options include rainbow, heat.colors, terrain.colors, topo.colors, and function(x) {gray((1:x)/x)}.

col

an explicit set of colors to be used in the plot. This argument overrides any palette function specification. There should be one less color than levels.

edge_width

How wide should edges with variable names be? As proportion of full screen.

cex.var_names

Size of var_names printed on edges.

bar

Should a bar showing the output range and colors be shown on the top right?

...

Arguments passed to cf_func, and then probably through to cf_grid

References

Hwang, Yongmoon, Sang-Lyul Cha, Sehoon Kim, Seung-Seop Jin, and Hyung-Jo Jung. "The Multiple-Update-Infill Sampling Method Using Minimum Energy Design for Sequential Surrogate Modeling." Applied Sciences 8, no. 4 (2018): 481.

Examples

## Not run: 
# Only use 4 dims of 8 for borehole function
cf_highdim(function(x) TestFunctions::borehole(c(x,.5,.5,.5,.5)), 4)
# Add points
cf_highdim(function(x) TestFunctions::borehole(c(x,.5,.5,.5,.5)), 4,
           pts=matrix(c(.1,.3,.6,.9),1,4))

# Full 8D borehole function
cf_highdim(TestFunctions::borehole, 8)

# Putting each plot on separate scale
cf_highdim(TestFunctions::borehole, 8, n=10, same_scale = FALSE)

## End(Not run)

cf_highdim(function(x) {x[1]^2 + exp(x[2])}, D=3)

friedman <- function(x) {
  10*sin(pi*x[1]*x[2]) + 20*(x[3]-.5)^2 + 10*x[4] + 5*x[5]
}
cf_highdim(friedman, 5, color.palette=topo.colors)
cf_highdim(friedman, 5, 
           color.palette=function(x) {gray((1:x)/x)},
           nlevels=10)
           
## Not run: 
# Recreate Plate 1 or Figure 1.1 from Engineering Design via Surrogate
# Modelling by Forrester, Sobester, and Keane (2008).
cf_highdim(function(x)TestFunctions::wingweight(x, scale_it=FALSE),
  D=10, low = c(150,220,6,-10,16,.5,.08,2.5,1700,.025),
  high = c(200,300,10,10,45,1,.18,6,2500,.08),
  baseline=c(174,252,7.52,0,34,.672,.12,3.8,2000,.064),
  color.palette=topo.colors, 
  var_names=c('SW', 'Wtw', 'A', 'Lambda', 'q', 'lambda', 'tc', 'Nz', 'Wdg'))

## End(Not run)

# Average over background dimensions, use higher reps to reduce noise.
f1 <- function(x) {x[1] + x[2]^2 + x[3]^3}
cf_highdim(f1, 4, average=TRUE, average_reps=1e2, n=10)
f1b <- function(x) {x[,1] + x[,2]^2 + x[,3]^3}
cf_highdim(f1b, 4, average=TRUE, average_reps=1e2, n=10, batchmax=Inf)
cf_highdim(f1b, 4, average_reps=1e2, n=10, batchmax=Inf,
           color.palette = topo.colors, nlevels=3)

# This was giving bad result
csa()
split.screen(c(2,1))
screen(2)
cf_highdim(f1b, 4, n=10, batchmax=Inf)
csa()

Strong version of cm.colors color palette

Description

Altered version of cm.colors that uses full saturation to get stronger colors.

Usage

cm.colors.strong(n, alpha = 1)

Arguments

n

Number of color groups

alpha

Alpha level

Value

Character vector of colors

Examples

# Character string output
cm.colors.strong(5)

# Plot to show these
sl <- 21
sx <- seq(0,1,l=sl)
plot(sx,sin(2*pi*sx), cex=5, col=cm.colors.strong(sl), pch=19);points(sx,sin(2*pi*sx), cex=5)
plot(sx,sin(2*pi*sx), cex=5, col=cm.colors(sl),        pch=19);points(sx,sin(2*pi*sx), cex=5)

Close all open screens

Description

Closes the screens open, which happens when plotting with 'split.screen' is interrupted. It often happens when there is a error while plotting. When you try to plot the next thing it gives an error. Running this function will reset the plot screen. It just does 'close.screen(all.screens=TRUE)' but is faster to type.

Usage

csa(silent = FALSE)

Arguments

silent

Should the output of 'close.screen' not be returned?

Examples

# Split screen into fourths
split.screen(c(2,2))
hist(rnorm(100))
screen(2)
hist(runif(100))
# Use csa() to go back to normal plotting
csa()
hist(rexp(100))

Evaluate function over grid of points

Description

'batchmax' gives how many can be evaluated at a time. If more than 1, then the input is given to the function as rows of a matrix.

Usage

eval_over_grid_with_batch(x, y, fn, batchmax)

Arguments

x

Vector of x values to evaluate

y

Vector of y values to evaluate

fn

Function that takes in a length two vector if 'batchmax' is 1 or a matrix with two columns if greater than 1.

batchmax

Number of points that can evaluated simultaneously. If 1, points are passed to 'fn' as a vector of length two. If greater than 1, points are passed to 'fn' as rows of a matrix.

Value

Matrix of size 'length(x)' by 'length(y)'

Examples

eval_over_grid_with_batch(c(0,.5,1), c(10,20,30), function(a)a[1]+a[2], batchmax=1)
eval_over_grid_with_batch(c(0,.5,1), c(10,20,30), function(a)a[,1]+a[,2], batchmax=Inf)

Make contour plot from data or function using ggplot2

Description

Simpler function for making contours with cf package. Won't give argument completion, so all must be specified

Usage

gcf(...)

Arguments

...

Arguments to be passed to cf_func or cf_data based on data type of first argument. If D is given as argument, then it is passed to cf_highdim.

Value

Whatever is returned from other function, probably nothing. Will be a ggplot2 object if using gg=TRUE.

Examples

gcf(function(x){x[1]^2 - x[2]})
x <- runif(20)
y <- runif(20)
z <- exp(-(x-.5)^2-5*(y-.5)^2)# + rnorm(20,0,.05)
gcf(x,y,z)
gcf(function(x){x[1]^2 - x[2]}, D=3)

Contour plot from data

Description

Makes filled contour plot from data without sidebar by interpolating with a Gaussian process model. This is the same as 'cf_data' except it will use ggplot2 to make the plot.

Usage

gcf_data(
  x,
  y = NULL,
  z = NULL,
  xlim = NULL,
  ylim = NULL,
  xylim = NULL,
  fit = "",
  gg = TRUE,
  ...
)

Arguments

x

either just x data, x and y data, or x, y and z data

y

either y data, z data, or null

z

either z data or null

xlim

x limits for the contour plot, will be set to data limits +- 5% if not specified

ylim

y limits for the contour plot, will be set to data limits +- 5% if not specified

xylim

x and y limits for the contour plot

fit

Method to fit a model with. Current options are laGP (default) and mlegp. laGP is faster but might cause trouble.

gg

If FALSE, will use base graphics by calling cf_func()

...

passed to cf_func

Examples

x <- runif(20)
y <- runif(20)
z <- exp(-(x-.5)^2-5*(y-.5)^2)
gcf_data(x,y,z)

Makes filled contour plot from function

Description

A contour plot of the given function without sidebar by default. It calls the function 'cf_grid' to make the actual plot.

Usage

gcf_func(
  fn0,
  n = 100,
  xlim = c(0, 1),
  ylim = c(0, 1),
  xylim = NULL,
  batchmax = 1,
  out.col.name = NULL,
  out.name = NULL,
  pts = NULL,
  ...
)

Arguments

fn0

function to plot, first argument must be two-dimensional

n

number of points in each dimension

xlim

x limits for the contour plot

ylim

y limits for the contour plot

xylim

x and y limits for the contour plot, use when both are same #@param mainminmax whether the min and max values should be shown in the title of plot

batchmax

number of datapoints that can be computed at a time

out.col.name

if a column needs to be selected from the function, specify it

out.name

Selects with a $ the name from output to be used, for lists and data frames #@param pretitle Text to be preappended to end of plot title #@param posttitle Text to be appended to end of plot title #@param title Title for the plot #@param mainminmax_minmax Whether [min,max]= should be shown in title or just the numbers

pts

Points to plot on top of contour

...

Passed to cf_grid

Examples

gcf_func(function(x){x[1]*x[2]})
gcf_func(function(x)(exp(-(x[1]-.5)^2-5*(x[2]-.5)^2)))
gcf_func(function(xx){exp(-sum((xx-.5)^2/.1))}, bar=TRUE, color.palette=terrain.colors)
gcf_func(function(xx){exp(-sum((xx-.5)^2/.1))}, bar=TRUE, mainminmax=TRUE)
gcf_func(function(x)(exp(-(x[1]-.5)^2-5*(x[2]-.5)^2)))

Create contour plot from grid data using ggplot2

Description

The same as cf_grid_screen but uses ggplot2 for the plot.

Usage

gcf_grid(
  x = seq(0, 1, length.out = nrow(z)),
  y = seq(0, 1, length.out = ncol(z)),
  z,
  xlim = range(x, finite = TRUE),
  ylim = range(y, finite = TRUE),
  zlim = range(z, finite = TRUE),
  with_lines = FALSE,
  lines_only = FALSE,
  bins = 8,
  interpolate = TRUE,
  levels = pretty(zlim, nlevels),
  nlevels = 20,
  color.palette = cm.colors.strong,
  col = color.palette(length(levels) - 1),
  asp = NA,
  las = 1,
  bar = F,
  pts = NULL,
  reset.par = TRUE,
  pretitle = "",
  posttitle = "",
  main = NULL,
  mainminmax = !bar,
  mainminmax_minmax = TRUE,
  afterplotfunc = NULL,
  cex.main = par()$cex.main,
  ...
)

Arguments

x

x values, must form grid with y. If not given, it is assumed to be from 0 to 1.

y

y values, must form grid with x. If not given, it is assumed to be from 0 to 1.

z

z values at grid locations

xlim

x limits for the plot.

ylim

y limits for the plot.

zlim

z limits for the plot.

with_lines

Should lines be added on top of contour to show contours?

lines_only

Should no fill be used, only contour lines?

bins

Number of lines used when using 'with_lines' or 'lines_only'

interpolate

Will smooth out contours

levels

a set of levels which are used to partition the range of z. Must be strictly increasing (and finite). Areas with z values between consecutive levels are painted with the same color.

nlevels

if levels is not specified, the range of z, values is divided into approximately this many levels.

color.palette

a color palette function to be used to assign colors in the plot. Defaults to cm.colors. Other options include rainbow, heat.colors, terrain.colors, topo.colors, and function(x) {gray((1:x)/x)}.

col

an explicit set of colors to be used in the plot. This argument overrides any palette function specification. There should be one less color than levels

asp

the y/x aspect ratio, see plot.window.

las

the style of labeling to be used. The default is to use horizontal labeling.

bar

Should a bar showing the output range and colors be shown on the right?

pts

Points to plot on top of contour

reset.par

Should the graphical parameters be reset before exiting? Usually should be unless you need to add something to the plot afterwards and bar is TRUE.

pretitle

Text to be preappended to end of plot title

posttitle

Text to be appended to end of plot title

main

Title for the plot

mainminmax

whether the min and max values should be shown in the title of plot

mainminmax_minmax

Whether [min,max]= should be shown in title or just the numbers

afterplotfunc

Function to call after plotting, such as adding points or lines.

cex.main

The size of the main title. 1.2 is default.

...

additional graphical parameters, currently only passed to title().

Value

ggplot2 object

Examples

x <- y <- seq(-4*pi, 4*pi, len = 27)
r <- sqrt(outer(x^2, y^2, "+"))
gcf_grid(cos(r^2)*exp(-r/(2*pi)))
gcf_grid(r, color.palette=heat.colors, bar=TRUE)
gcf_grid(r, color.palette=function(x) {gray((1:x)/x)}, bar=TRUE)

Makes plot title using specified colors for the text

Description

Makes plot title using specified colors for the text

Usage

multicolor.title(main, col.main, collapse = "", cex.main = par()$cex.main)

Arguments

main

Text to put in main title of plot

col.main

Colors to use for the text

collapse

What to put between elements of main, defaults to "" but " " might be appropriate

cex.main

The size of the main title. 1.2 is default.

Examples

plot(1:4)
multicolor.title(c('Black, ','red, ','green'),c(1,2,3))

Make a plot with only text

Description

Make a plot with only text

Usage

text_plot(p, x = 0.5, y = 0.5, cex = 2, ...)

Arguments

p

Text to put on a plot

x

x-value of center of text, defaults to center

y

y-value of center of text, defaults to center

cex

Size of text

...

Arguments passed to plot

References

ZNK's answer on https://stackoverflow.com/questions/19918985/r-plot-only-text, retrieved 5/25/2018

Examples

text_plot("Useful?", cex=5)