many_lm {lmhelprs}

Fit Linear Models Defined By Model Syntax

Description

Fit a list of linear models defined by model syntax.

Usage

many_lm(models, data, na_omit_all = TRUE, ...)

Arguments

models

Character. Model syntax. See Details.

data

The data frame. Must be supplied if na_omit_all is TRUE. If na_omit_all is FALSE, it can be omitted (though not suggested).

na_omit_all

How missing data is handled across models. If TRUE, the default, then only cases with no missing data on all variables used at least one of the models will be retained (i.e., listwise deletion). If FALSE, then missing data will be handled in each model separately by lm().

...

Additional arguments. To be passed to lm().

Details

This function extracts linear model formulas from a model syntax (a character vector), fits each of them by lm(), and stores the results in a list.

Lines with the first non-whitespace character "#" are treated as comments and ignored.

Each line must be a valid formula for lm().

Value

A list of the output of lm(). The class is lm_list_lmhelprs.

Author(s)

Shu Fai Cheung https://orcid.org/0000-0002-9871-9448

See Also

stats::lm()

Examples

data(data_test1)
mod <- "x3 ~ x2 + x1
        x4 ~ x3
        x5 ~ x4*x1"
out <- many_lm(mod, data_test1)
summary(out)