ci_lower

ci_upper

Calculate lower and upper confidence intervals given a mean,
standard deviation, sample size, and confidence level. You may
want to use <code>ci_var()</code> to calculate all values quickly.

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_lower function

<dl><dt>mean</dt>
<dd>Numeric. Mean: <code>mean(var, na.rm = TRUE)</code></dd>
<dt>ssd</dt>
<dd>Numeric. Standard deviation: <code>sd(var, na.rm = TRUE)</code></dd>
<dt>n</dt>
<dd>Integer. Amount of observations: <code>n()</code></dd>
<dt>conf</dt>
<dd>Numeric (0-1). Confidence level.</dd></dl>

Arguments

Lower/Upper Confidence Intervals — ci_lower

<dl>

<dt>mean</dt>
<dd>Numeric. Mean: <code>mean(var, na.rm = TRUE)</code></dd>


<dt>ssd</dt>
<dd>Numeric. Standard deviation: <code>sd(var, na.rm = TRUE)</code></dd>


<dt>n</dt>
<dd>Integer. Amount of observations: <code>n()</code></dd>


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

</dl>

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ci_lower: Lower/Upper Confidence Intervals

Description

Usage

Value

Arguments

See Also

Examples

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Description

Usage

Value

Arguments

See Also

Examples

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