Generate a dataframe with `t`, `pos` and `tot` columns from `t` and `seropositive` vectors.

Usage

transform_data(t, spos)

Arguments

t: the time vector.
spos: the seropositive vector.

Value

dataframe in aggregated format

Examples

df <- hcv_be_2006
hcv_df <- transform_data(df$dur, df$seropositive)
hcv_df
#> # A tibble: 116 × 3
#>        t   pos   tot
#>    <dbl> <int> <int>
#>  1   0.1     0     1
#>  2   0.3     0     1
#>  3   0.4     0     3
#>  4   0.5     0     1
#>  5   0.7     2     5
#>  6   0.8     3     4
#>  7   0.9     3     4
#>  8   1       5     7
#>  9   1.1     1     2
#> 10   1.2     3     4
#> # ℹ 106 more rows