This function updates the parameter uncertainty columns in a data frame
when the uncertainty is given by a single value (standard deviation or
standard error). It creates new columns called low' (parameter central value - uncertainty) and high' (parameter central value + uncertainty).
These columns are used by forest_plot to plot the
uncertainty intervals. If the uncertainty is given by a range, the
midpoint of the range is used as the central value (mid) and the lower and
upper bounds are used as the low and high values respectively.
Arguments
- df
A data frame containing the parameter uncertainty columns. This will typically be the output of
load_epidata.
Examples
df <- data.frame(
parameter_value = c(10, 20, 30),
parameter_uncertainty_single_value = c(1, 2, 3),
parameter_uncertainty_lower_value = c(5, 15, 25),
parameter_uncertainty_upper_value = c(15, 25, 35),
parameter_uncertainty_type = c(NA, NA, NA),
parameter_uncertainty_singe_type = c("Standard Deviation", "Standard Error", NA)
)
updated_df <- param_pm_uncertainty(df)
updated_df
#> parameter_value parameter_uncertainty_single_value
#> 1 10 1
#> 2 20 2
#> 3 30 3
#> parameter_uncertainty_lower_value parameter_uncertainty_upper_value
#> 1 5 15
#> 2 15 25
#> 3 25 35
#> parameter_uncertainty_type parameter_uncertainty_singe_type low mid high
#> 1 NA Standard Deviation 5 10 15
#> 2 NA Standard Error 15 20 25
#> 3 NA <NA> 25 30 35
#> mid_type uncertainty_type
#> 1 Extracted <NA>
#> 2 Extracted <NA>
#> 3 Extracted <NA>