thresh_sm: A plot that summarised the relationship between a variable...

In timcdlucas/agouti: Base classes and simple models for disaggregation regression models. Potential name agouti (aggregate outputs ish)

Description

The plot is created by calculating, within each group, the proportion of observations that are above a threshold. A scatter plot with a linear model is plotted of the relationship between this proportion and the aggregated output. The threshold is varied and small multiples of the different values are plotted.

Usage

thresh_sm(
  formula,
  data,
  ID = ID,
  weights = weights,
  small_mult = 25,
  lower_percentile = 0.05,
  upper_percentile = 0.95
)

Arguments

formula	A formula for the y and x variables.
data	A data frame suitable for aggregate outputs models.
ID	The column to use as the group ID column. Unquoted value.
weights	Which column to use as within group weights such as population or time. data(madagascar_malaria) group_summary_plot(case_rate ~ LSTmean, data = madagascar_malaria, ID = ID, weights = pop)
small_mult	How much small multiples to make.
lower_percentile	Lowest percentile to use
upper_percentile	Highest percentile to use data(madagascar_malaria) thresh_sm(case_rate ~ LSTmean, data = madagascar_malaria, ID = ID, weights = pop)

timcdlucas/agouti documentation built on Jan. 14, 2022, 7:33 p.m.