ci_var

Calculate confidence intervals for a continuous numerical column on
a dataframe, given a confidence level. You may also group results
using another variable. Tidyverse friendly.

Auxiliary package for better/faster analytics, visualization, data mining, and machine
learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling,
Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or
data scientist to get quick and robust results, without the need of repetitive coding or
advanced R programming skills.

Bernardo Lares

lares

Analytics & Machine Learning Sidekick

ci_var function

<dl><dt>df</dt>
<dd>Dataframe</dd>
<dt>var</dt>
<dd>Variable name. Must be a numerical column.</dd>
<dt>group_var</dt>
<dd>Variable name. Group results by another variable.</dd>
<dt>conf</dt>
<dd>Numeric. Confidence level (0-1).</dd></dl>

Arguments

Confidence Intervals on Dataframe — ci_var

<dl>

<dt>df</dt>
<dd>Dataframe</dd>


<dt>var</dt>
<dd>Variable name. Must be a numerical column.</dd>


<dt>group_var</dt>
<dd>Variable name. Group results by another variable.</dd>


<dt>conf</dt>
<dd>Numeric. Confidence level (0-1).</dd>

</dl>

ci_var: Confidence Intervals on Dataframe

Description

Usage

Value

Arguments

See Also

Examples