sample_var

<code>sample_var</code> computes the sample variance, i.e. the sum of squared deviations of <code>x</code> from the mean divided by the total number of observations. This is in contrast to <code>var</code>, which computes an unbiased estimate of the variance (i.e. it divides the sum of squared deviations by n - 1).

Data sets and functions to support the books "Statistics: Data
analysis and modelling" by Speekenbrink, M. (2021)
<https://mspeekenbrink.github.io/sdam-book/> and "An R companion to
Statistics: data analysis and modelling" by Speekenbrink, M. (2021)
<https://mspeekenbrink.github.io/sdam-r-companion/>. All datasets
analysed in these books are provided in this package. In addition, the
package provides functions to compute sample statistics (variance,
standard deviation, mode), create raincloud and enhanced Q-Q plots, and
expand Anova results into omnibus tests and tests of individual
contrasts.

Maarten Speekenbrink

sdamr

Statistics: Data Analysis and Modelling

sample_var function

<dl><dt>x</dt>
<dd>Numeric vector</dd>
<dt>na.rm</dt>
<dd>(logical) Should missing values be removed?</dd></dl>

Arguments

Compute the sample variance — sample_var

<dl>

<dt>x</dt>
<dd>Numeric vector</dd>


<dt>na.rm</dt>
<dd>(logical) Should missing values be removed?</dd>

</dl>

sample_var: Compute the sample variance

Description

Usage

Value

Arguments

Examples