Conditional means with interval-valued data

imreg: for each interval formed by the induced partition of the regressor's bounds, the mean of the response bounds over the cases covering it.

Usage

tda_imreg(formula, data, options = list(), dir = tempfile("tda"), ...)

Arguments

formula

a formula using iv() for interval-valued variables; tda_imreg needs both sides interval-valued.

data

a data frame.

options

a named list of further TDA options, passed through.

dir

working directory.

...

passed to tda_run.

Value

An object carrying table, one row per partition boundary.

See also

Other interval-valued data: tda_bounds(), tda_idf(), tda_ilsreg(), tda_imean(), tda_inpreg(), tda_ivar1(), tda_ivreg(), tda_sddf()

Examples

set.seed(3)
d <- data.frame(xlo = round(rnorm(30), 2))
d$xhi <- d$xlo + round(runif(30, 0.3, 1), 2)
d$ylo <- 2 + 0.5 * d$xlo + rnorm(30, sd = 0.2)
d$yhi <- d$ylo + round(runif(30, 0.3, 1), 2)
head(tda_imreg(iv(ylo, yhi) ~ iv(xlo, xhi), d)$table)
#>   index     x   y_lower  y_upper
#> 1     1 -1.67 0.9071987 1.837199
#> 2     1 -1.36 0.9071987 1.837199
#> 3     2 -1.36 0.0000000 0.000000
#> 4     2 -1.22 0.0000000 0.000000
#> 5     3 -1.22 1.0425473 1.652547
#> 6     3 -1.15 1.0425473 1.652547