util_margins_poi {dataquieR}R Documentation

Utility function to create a margins plot from Poisson regression models

Description

Utility function to create a margins plot from Poisson regression models

Usage

util_margins_poi(
  resp_vars = NULL,
  group_vars = NULL,
  co_vars = NULL,
  threshold_type = NULL,
  threshold_value,
  min_obs_in_subgroup = 5,
  ds1,
  label_col,
  adjusted_hint = "",
  title = "",
  sort_group_var_levels = getOption("dataquieR.acc_margins_sort",
    dataquieR.acc_margins_sort_default),
  include_numbers_in_figures = getOption("dataquieR.acc_margins_num",
    dataquieR.acc_margins_num_default)
)

Arguments

resp_vars

variable the name of the measurement variable

group_vars

variable the name of the observer, device or reader variable

co_vars

variable list a vector of covariables, e.g. age and sex for adjustment

threshold_type

enum empirical | user | none. See acc_margins.

threshold_value

numeric see acc_margins

min_obs_in_subgroup

integer from=0. This optional argument specifies the minimum number of observations that is required to include a subgroup (level) of the group_var in the analysis.

ds1

data.frame the data frame that contains the measurements, after replacing missing value codes by NA, excluding inadmissible values and transforming categorical variables to factors.

label_col

variable attribute the name of the column in the metadata with labels of variables

adjusted_hint

character hint, if adjusted for co_vars

title

character title for the plot

sort_group_var_levels

logical Should the levels of the grouping variable be sorted descending by the number of observations (in the figure)?

include_numbers_in_figures

logical Should the figure report the number of observations for each level of the grouping variable?

Value

A table and a matching plot.


[Package dataquieR version 2.5.1 Index]