These are used to redefine or restrict the domain of tf objects.

tf_zoom(f, begin, end, ...)

# S3 method for tfd
tf_zoom(f, begin = tf_domain(f)[1], end = tf_domain(f)[2], ...)

# S3 method for tfb
tf_zoom(f, begin = tf_domain(f)[1], end = tf_domain(f)[2], ...)

# S3 method for tfb_fpc
tf_zoom(f, begin = tf_domain(f)[1], end = tf_domain(f)[2], ...)

## Arguments

f a tf-object numeric vector of length 1 or length(f). Defaults to the lower limit of the domain of f. numeric vector of length 1 or length(f). Defaults to the upper limit of the domain of f. not used

## Value

an object like f on a new domain (potentially). Note that regular functional data and functions in basis representation will be turned into irregular tfd-objects iff begin or end are not scalar.

## Examples

  (x <- tf_rgp(10))#> tfd[10] on (0,1) based on 51 evaluations each
#> interpolation by tf_approx_linear
#> [1]: (0.00,   -1);(0.02,   -1);(0.04,   -1); ...
#> [2]: (0.00,-0.24);(0.02,-0.29);(0.04,-0.29); ...
#> [3]: (0.00,-0.30);(0.02,-0.21);(0.04,-0.08); ...
#> [4]: (0.00, 0.89);(0.02, 0.80);(0.04, 0.70); ...
#> [5]: (0.00, 0.22);(0.02, 0.23);(0.04, 0.15); ...
#> [6]: (0.00,-0.74);(0.02,-0.59);(0.04,-0.45); ...
#> [7]: (0.00, 0.31);(0.02, 0.30);(0.04, 0.31); ...
#> [8]: (0.00,-0.91);(0.02,-0.81);(0.04,-0.79); ...
#> [9]: (0.00,-0.70);(0.02,-0.81);(0.04,-0.97); ...
#> [10]: (0.00,  1.2);(0.02,  1.2);(0.04,  1.1); ...  plot(x)  tf_zoom(x, .5, .9)#> tfd[10] on (0.5,0.9) based on 21 evaluations each
#> interpolation by tf_approx_linear
#> [1]: (0.50, -0.062);(0.52, -0.141);(0.54, -0.226); ...
#> [2]: (0.50,   0.53);(0.52,   0.53);(0.54,   0.51); ...
#> [3]: (0.50,  -0.50);(0.52,  -0.54);(0.54,  -0.58); ...
#> [4]: (0.50,  -0.26);(0.52,  -0.22);(0.54,  -0.25); ...
#> [5]: (0.50,  -0.70);(0.52,  -0.70);(0.54,  -0.67); ...
#> [6]: (0.50, 0.0160);(0.52, 0.0098);(0.54,-0.0569); ...
#> [7]: (0.50,   -2.2);(0.52,   -2.3);(0.54,   -2.4); ...
#> [8]: (0.50,    1.3);(0.52,    1.3);(0.54,    1.2); ...
#> [9]: (0.50,  -0.64);(0.52,  -0.58);(0.54,  -0.53); ...
#> [10]: (0.50,  -0.07);(0.52,  -0.11);(0.54,  -0.13); ...  lines(tf_zoom(x, .5, .9), col = "red")  points(tf_zoom(x, seq(0, .5, l = 10), seq(.5, 1, l = 10)), col = "blue")