mbte_unnest_fits(x)

Arguments

x	A tbl_mbte.

Value

A tbl_mbte with the following columns:

desc

`desc` is a placeholder for all columns except the `signal`- and the `fits`-columns. Those columns can be seen as "descriptive" columns describing the measured signals.

fit

The name of the method used for fitting (character). See mbte_fit for details.

time

The time-column unnested from the `signal`-column.

value

The values of the predicted signals (originally in `signal`- column).

See also

Examples

# load sample dataset
data(filtered_signals)
filtered_signals
#> # A tibble: 37 x 3
#>    mv    signal_nr signal           
#>    <chr>     <int> <list>           
#>  1 mv1           1 <tibble [22 × 2]>
#>  2 mv3           2 <tibble [22 × 2]>
#>  3 mv5           1 <tibble [30 × 2]>
#>  4 mv6           1 <tibble [21 × 2]>
#>  5 mv6           3 <tibble [30 × 2]>
#>  6 mv7           1 <tibble [56 × 2]>
#>  7 mv8           1 <tibble [29 × 2]>
#>  8 mv8           2 <tibble [26 × 2]>
#>  9 mv9           1 <tibble [63 × 2]>
#> 10 mv10          1 <tibble [25 × 2]>
#> # … with 27 more rows

# perform fitting
fitted <- mbte_fit(filtered_signals, lm = lm(value ~ t, .signal))

# unnest predictions for signal-values (==> fitted signals)
#
# NOTE: "lm" is the only method used for fitting and therefore the `fit`-
# column consists only of "lm"
mbte_unnest_fits(fitted)
#> # A tibble: 1,367 x 5
#>    mv    signal_nr fit       t value
#>    <chr>     <int> <chr> <int> <dbl>
#>  1 mv1           1 lm       29  29.5
#>  2 mv1           1 lm       30  28.3
#>  3 mv1           1 lm       31  27.0
#>  4 mv1           1 lm       32  25.8
#>  5 mv1           1 lm       33  24.5
#>  6 mv1           1 lm       34  23.2
#>  7 mv1           1 lm       35  22.0
#>  8 mv1           1 lm       36  20.7
#>  9 mv1           1 lm       37  19.5
#> 10 mv1           1 lm       38  18.2
#> # … with 1,357 more rows