| modifications | R Documentation | 
Most modifications of values in a long_grid are quite simple due to the wealth of vectorised functions avaliable in R. ambient provides a little selection of handy functions to compliment these
blend(x, y, mask) normalise(x, from = range(x), to = c(0, 1)) normalize(x, from = range(x), to = c(0, 1)) cap(x, lower = 0, upper = 1)
| x, y | Values to modify | 
| mask | A vector of the same length as  | 
| from | The range of  | 
| to | The output domain to normalise to | 
| lower, upper | The lower and upper bounds to cap to | 
grid <- long_grid(seq(1, 10, length.out = 1000), seq(1, 10, length.out = 1000)) grid$chess <- gen_checkerboard(grid$x, grid$y) grid$noise <- gen_perlin(grid$x, grid$y) grid$ripple <- gen_waves(grid$x, grid$y) # Blend two values based on a third grid$mix <- blend(grid$noise, grid$ripple, grid$chess) plot(grid, mix) # Cap values between 0 and 1 plot(grid, cap(noise))
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