estimate_mdiff_2x2_between: Estimate the magnitude of difference for an independent...

In rcalinjageman/esci4: Effect Sizes and Confidence Intervals

Estimate the magnitude of difference for an independent groups contrast.

Description

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estimate_mdiff_2x2_between returns point estimate and confidence intervals for a 2x2 fully between-subjects design

Usage

estimate_mdiff_2x2_between(
  data = NULL,
  outcome_variable = NULL,
  grouping_variable_A = NULL,
  grouping_variable_B = NULL,
  means = NULL,
  sds = NULL,
  ns = NULL,
  grouping_variable_A_levels = NULL,
  grouping_variable_B_levels = NULL,
  outcome_variable_name = "My outcome variable",
  grouping_variable_A_name = "A",
  grouping_variable_B_name = "A",
  conf_level = 0.95,
  assume_equal_variance = FALSE,
  save_raw_data = TRUE
)

Arguments

data	For raw data - a dataframe or tibble
outcome_variable	For raw data - The column name of the outcome variable, or a vector of numeric data
grouping_variable_A	For raw data - The column name of the grouping variable, or a vector of group names, only 2 levels allowed
grouping_variable_B	For raw data - The column name of the grouping variable, or a vector of group names, only 2 levels allowed
means	For summary data - A vector of 4 means: A1B1, A1B2, A2B1, A2B2
sds	For summary data - A vector of 4 standard deviations, same order
ns	For summary data - A vector of 4 sample sizes
grouping_variable_A_levels	For summary data - An optional vector of 2 group labels
grouping_variable_B_levels	For summary data - An optional vector of 2 group labels
outcome_variable_name	Optional friendly name for the outcome variable. Defaults to 'My outcome variable' or the outcome variable column name if a data frame is passed.
grouping_variable_A_name	Optional friendly name for the grouping variable. Defaults to 'A' or the grouping variable column name if a data.frame is passed.
grouping_variable_B_name	Optional friendly name for the grouping variable. Defaults to 'A' or the grouping variable column name if a data.frame is passed.
conf_level	The confidence level for the confidence interval. Given in decimal form. Defaults to 0.95.
assume_equal_variance	Defaults to FALSE
save_raw_data	For raw data; defaults to TRUE; set to FALSE to save memory by not returning raw data in estimate object

Value

Returnsobject of class esci_estimate

Examples

# From Raw Data ------------------------------------
# Just pass in the data source, grouping column, and outcome column.
# You can pass these in by position, skipping the labels:

# Note... not sure if PlantGrowth dataset meets assumptions for this analysis
estimate_mdiff_2x2_between(

)

rcalinjageman/esci4 documentation built on May 18, 2023, 4:01 a.m.