Generate a dataframe with `t`, `pos` and `tot` columns from
`t` and `seropositive` vectors.
Usage
transform_data(t, spos, stratum_col = "t")
Arguments
- t
the time vector (for stratification).
- spos
the seropositive vector.
- stratum_col
new name for the time vector (default to "t")
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
