validate_lm2

Validates se_type and clusters arguments for lm2().
Also handles creating a data frame from vectors if data is not provided.

internal

The statistical tools in this package do one of four things:
1) Enhance basic statistical functions with more
flexible inputs, smarter defaults, and richer, clearer, and ready-to-use
output (e.g., t.test2())
2) Produce publication-ready commonly needed figures with one line of code (e.g., plot_cdf())
3) Implement novel analytical tools developed by the authors (e.g., twolines())
4) Deliver niche functions of high value to the authors that are not easily
available elsewhere (e.g., clear(), convert_to_sql(), resize_images()).

Uri Simonsohn

statuser

Statistical Tools Designed for End Users

validate_lm2 function

<dl><dt>formula</dt>
<dd>A formula specifying the model.</dd>
<dt>data</dt>
<dd>An optional data frame containing the variables.</dd>
<dt>se_type</dt>
<dd>The type of standard error to use.</dd>
<dt>se_type_missing</dt>
<dd>Logical. Whether se_type was not explicitly provided by user.</dd>
<dt>dots</dt>
<dd>Additional arguments passed to lm_robust (to check for clusters).</dd>
<dt>calling_env</dt>
<dd>The environment in which to look for variables if data is not provided.</dd></dl>

Arguments

Validate Inputs for lm2() Function — validate_lm2

<dl>

<dt>formula</dt>
<dd>A formula specifying the model.</dd>


<dt>data</dt>
<dd>An optional data frame containing the variables.</dd>


<dt>se_type</dt>
<dd>The type of standard error to use.</dd>


<dt>se_type_missing</dt>
<dd>Logical. Whether se_type was not explicitly provided by user.</dd>


<dt>dots</dt>
<dd>Additional arguments passed to lm_robust (to check for clusters).</dd>


<dt>calling_env</dt>
<dd>The environment in which to look for variables if data is not provided.</dd>

</dl>

validate_lm2: Validate Inputs for lm2() Function

Description

Usage

Value

Arguments