calc_summary_stats: Summarise data by block.

In lmiratrix/blkvar: ATE and Treatment Variation Estimation for Blocked and Multisite RCTs

Summarise data by block.

Description

Given dataframe or list of variables, return table of stats for each randomization block.

Usage

calc_summary_stats(Yobs, Z, B, data = NULL, siteID = NULL, add.neyman = FALSE)

Arguments

Yobs	Name of outcome variable (assumed to exist in data)
Z	vector that indicates if outcome is under treatment or control
B	block ids
data	Dataframe with defined Yobs, Z, and B variables.
siteID	If not null, name of siteID that has randomization blocks nested inside.
add.neyman	If TRUE, add block-specific SEs using Neyman formula of $s^2_T/n_t + s^2_C/n_c$ as column in output.

Value

dataframe with summary statistics by block

See Also

Other calc_summary_stats: calc_summary_stats_formula()

lmiratrix/blkvar documentation built on Nov. 18, 2024, 1:27 p.m.