mean_se

Calculates mean and standard error of mean

Works as an "add-on" to packages like 'shiny', 'future', as well as
'rlang', and provides utility functions. Just like dipping sauce adding
flavors to potato chips or pita bread, 'dipsaus' for data analysis and
visualizations adds handy functions and enhancements to popular packages.
The goal is to provide simple solutions that are frequently asked for
online, such as how to synchronize 'shiny' inputs without freezing the app,
or how to get memory size on 'Linux' or 'MacOS' system. The enhancements
roughly fall into these four categories: 1. 'shiny' input widgets; 2.
high-performance computing using the 'future' package; 3.
modify R calls and convert among numbers, strings, and other objects. 4.
utility functions to get system information such like CPU chip-set, memory
limit, etc.

Zhengjia Wang

dipsaus

A Dipping Sauce for Data Analysis and Visualizations

John Magnotti

Xiang Zhang

mean_se function

<dl><dt>x</dt>
<dd>R numerical object</dd>
<dt>na.rm</dt>
<dd>whether to remove <code>NA</code>; default is false</dd>
<dt>se_na_as_zero</dt>
<dd>see <code>na_as_zero</code> in <code>ste_mean</code></dd></dl>

Arguments

Calculates mean and standard error of mean — mean_se

<dl>

<dt>x</dt>
<dd>R numerical object</dd>


<dt>na.rm</dt>
<dd>whether to remove <code>NA</code>; default is false</dd>


<dt>se_na_as_zero</dt>
<dd>see <code>na_as_zero</code> in <code>ste_mean</code></dd>

</dl>

mean_se: Calculates mean and standard error of mean

Description

Usage

Value

Arguments

See Also

Examples