# Data transformation

    library(serosv)

## Aggregate data

Use function `transform_data()` to convert line listing data (data with `t`, `seropositive` columns) to aggregated data (data with `t`, `pos`, `tot` columns)

Arguments:

- `t` the time vector

- `spos` the seropositive vector (TRUE/FALSE or 1/0)

- `heterogeneity_col` new name for the time vector, default to `heterogeneity_col = "t"`

    linelisting_data <- hcv_be_2006
    aggregated_data <- transform_data(linelisting_data$dur, linelisting_data$seropositive)
    aggregated_data
    #> # 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