table_summary

This is a wrapper around <code><a href="/link/aggregate?package=grafify&version=5.0.0" data-mini-rdoc="grafify::aggregate">aggregate</a></code> function in base R to obtain mean, median, standard deviation and count for quantitative variable(s) grouped by one or more factors. More than one column containing of quantitative variables can be passed on, and summaries for each is provided with column names with a <code>.</code>.

Easily explore data by plotting graphs with a few lines of code. Use these ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers, violins or SD error bars, data distributions, before-after graphs, factorial ANOVA and more. Customise graphs in many ways, for example, by choosing from colour blind-friendly palettes (12 discreet, 3 continuous and 2 divergent palettes). Use the simple code for ANOVA as ordinary (lm()) or mixed-effects linear models (lmer()), including randomised-block or repeated-measures designs, and fit non-linear outcomes as a generalised additive model (gam) using mgcv(). Obtain estimated marginal means and perform post-hoc comparisons on fitted models (via emmeans()). Also includes small datasets for practising code and teaching basics before users move on to more complex designs. See vignettes for details on usage <https://grafify.shenoylab.com/>. Citation: <doi:10.5281/zenodo.5136508>.

Avinash R Shenoy

grafify

Easy Graphs for Data Visualisation and Linear Models for ANOVA

table_summary function

<dl><dt>data</dt>
<dd>name of the data table.</dd>
<dt>Ycol</dt>
<dd>name of one column (in quotes) or a vector of column names (e.g., c("Y1", "Y2")) containing the numerical variable to be summarised.</dd>
<dt>ByGroup</dt>
<dd>name of one column (in quotes) or a vector of column names (e.g., c("A", "B")) containing the grouping factors</dd></dl>

Arguments

This is a wrapper around <code><a href='https://rdrr.io/r/stats/aggregate.html'>aggregate</a></code> function in base R to obtain mean, median, standard deviation and count for quantitative variable(s) grouped by one or more factors. More than one column containing of quantitative variables can be passed on, and summaries for each is provided with column names with a <code>.</code>.

Get numeric summary grouped by factors — table_summary

<dl>

<dt>data</dt>
<dd>name of the data table.</dd>


<dt>Ycol</dt>
<dd>name of one column (in quotes) or a vector of column names (e.g., c("Y1", "Y2")) containing the numerical variable to be summarised.</dd>


<dt>ByGroup</dt>
<dd>name of one column (in quotes) or a vector of column names (e.g., c("A", "B")) containing the grouping factors</dd>

</dl>

table_summary: Get numeric summary grouped by factors

Description

Usage

Value

Arguments

Examples