wmo

The goal of wmo is to collect personal utility functions, data sets used for recurrent analyses, and document templates.

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("wmoldham/wmo")
renv::install("wmoldham/wmo)

Functions

remove_outliers

Function to remove outliers using the median absolute deviation approach.

theme_wmo

Personalized ggplot2 theme.

interpolate

Similar to predict except calculates x when given y from linear model objects.

named_group_split

Wrapper around dplyr::group_split that will name the resulting list of tibbles using the group variable(s).

%nin%

Inverts %in% selection.

Data

correction_factors

Experimental peak areas are multiplied by these correction factors to account for quadrupole bias in selected ion monitoring mode. These data are from the 2019-04-10 experiment.

Templates

data-analysis

Personalized rmarkdown template for routine data analysis optimized for PDF output.

draft-styles

These are the foundation to start optimizing a Word template for rmarkdown output. Open draft-styles.docx, then change the styles corresponding to various text types and save as a new template document.