trans

Offers a range of utilities and functions for everyday programming tasks. 1.Data
Manipulation. Such as grouping and merging, column splitting, and character expansion. 2.File
Handling. Read and convert files in popular formats. 3.Plotting Assistance. Helpful utilities
for generating color palettes, validating color formats, and adding transparency.
4.Statistical Analysis. Includes functions for pairwise comparisons and multiple testing
corrections, enabling perform statistical analyses with ease. 5.Graph Plotting, Provides
efficient tools for creating doughnut plot and multi-layered doughnut plot; Venn diagrams,
including traditional Venn diagrams, upset plots, and flower plots; Simplified functions for
creating stacked bar plots, or a box plot with alphabets group for multiple comparison group.

Peng Chen

pcutils

Some Useful Functions for Statistics and Visualization

trans function

<dl><dt>df</dt>
<dd>dataframe</dd>
<dt>method</dt>
<dd>"cpm","minmax","acpm","total","log", "max", "frequency", "normalize", "range", "rank", "rrank",
"standardize", "pa", "chi.square", "hellinger", "log", "clr", "rclr", "alr"</dd>
<dt>margin</dt>
<dd>1 for row and 2 for column(default: 2)</dd>
<dt>...</dt>
<dd>additional</dd></dl>

Arguments

Trans format your data — trans

<dl>

<dt>df</dt>
<dd>dataframe</dd>


<dt>method</dt>
<dd>"cpm","minmax","acpm","total","log", "max", "frequency", "normalize", "range", "rank", "rrank",
"standardize", "pa", "chi.square", "hellinger", "log", "clr", "rclr", "alr"</dd>


<dt>margin</dt>
<dd>1 for row and 2 for column(default: 2)</dd>


<dt>...</dt>
<dd>additional</dd>

</dl>

trans: Trans format your data

Description

Usage

Value

Arguments

See Also

Examples