Skip to contents

Helper function to return results of a linear model

Source: R/summarize_ancova.R
h_ancova.Rd

[Stable]

Usage

h_ancova(.var, .df_row, variables, interaction_item = NULL)

Arguments

.var

(string)
single variable name that is passed by rtables when requested by a statistics function.

.df_row

(data.frame)
data set that includes all the variables that are called in .var and variables.

variables

(named list of string)
list of additional analysis variables, with expected elements:

  • arm (string)
    group variable, for which the covariate adjusted means of multiple groups will be summarized. Specifically, the first level of arm variable is taken as the reference group.

  • covariates (character)
    a vector that can contain single variable names (such as "X1"), and/or interaction terms indicated by "X1 * X2".

interaction_item

(string or NULL)
name of the variable that should have interactions with arm. if the interaction is not needed, the default option is NULL.

Value

The summary of a linear model.

Examples

h_ancova(
  .var = "Sepal.Length",
  .df_row = iris,
  variables = list(arm = "Species", covariates = c("Petal.Length * Petal.Width", "Sepal.Width"))
)
#>  Species    emmean     SE  df lower.CL upper.CL
#>  setosa       6.15 0.3371 143     5.49     6.82
#>  versicolor   5.72 0.0668 143     5.59     5.85
#>  virginica    5.41 0.1488 143     5.11     5.70
#> 
#> Confidence level used: 0.95