save_history: Save tour history.

Description

Save a tour path so it can later be displayed in many different ways.

Usage

save_history(data, tour_path = grand_tour(), max_bases = 100,
  start = NULL, rescale = TRUE, sphere = FALSE, step_size = Inf)

Arguments

data

matrix, or data frame containing numeric columns

tour_path

tour path generator

max_bases

maximum number of new bases to generate. Some tour paths (like the guided tour) may generate less than the maximum.

start

starting projection, if you want to specify one

rescale

if true, rescale all variables to range [0,1]?

sphere

if true, sphere all variables

step_size

distance between each step - defaults to Inf which forces new basis generation at each step.

References

Hadley Wickham, Dianne Cook, Heike Hofmann, Andreas Buja (2011). tourr: An R Package for Exploring Multivariate Data with Projections. Journal of Statistical Software, 40(2), 1-18. http://www.jstatsoft.org/v40/i02/.

Examples

Run this code

# NOT RUN {
# You can use a saved history to replay tours with different visualisations

t1 <- save_history(flea[, 1:6], max = 3)
animate_xy(flea[, 1:6], planned_tour(t1))
##andrews_history(t1)
##andrews_history(interpolate(t1))

t1 <- save_history(flea[, 1:6], grand_tour(4), max = 3)
animate_pcp(flea[, 1:6], planned_tour(t1))
animate_scatmat(flea[, 1:6], planned_tour(t1))

t1 <- save_history(flea[, 1:6], grand_tour(1), max = 3)
animate_dist(flea[, 1:6], planned_tour(t1))

testdata <- matrix(rnorm(100*3), ncol=3)
testdata[1:50, 1] <- testdata[1:50, 1] + 10
testdata <- sphere(testdata)
t2 <- save_history(testdata, guided_tour(holes, max.tries = 100),
  max = 5, rescale=FALSE)
animate_xy(testdata, planned_tour(t2))

# Or you can use saved histories to visualise the path that the tour took.
plot(path_index(interpolate(t2), holes))
plot(path_curves(interpolate(t2)))
# }

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