countMissing

This function takes a dataframe as input and returns a tibble
summarizing the number of missing values (NA) in each column and
the number of rows with at least one missing value.

A toolkit for causal inference in experimental and observational
studies. Implements various simple Bayesian models including linear,
negative binomial, and logistic regression for impact estimation.
Provides functionality for randomization and checking baseline equivalence
in experimental designs. The package aims to simplify the process of
impact measurement for researchers and analysts across different fields.
Examples and detailed usage instructions are available at
<https://book.martinez.fyi>.

Ignacio Martinez

Impact Measurement Toolkit

countMissing function

<dl><dt>df</dt>
<dd>A dataframe to analyze.</dd></dl>

Arguments

Count missing values (NA) in a dataframe — countMissing

<dl>

<dt>df</dt>
<dd>A dataframe to analyze.</dd>

</dl>

countMissing: Count missing values (NA) in a dataframe

Description

Usage

Value

Arguments