In softloud/sperm: Analysis

library(targets)
library(tidyverse)
library(sperm)

Installation

The sperm:: analysis is available at GitHub with:

Either download the codebase (green Code button) as a .zip file or use GitHub command-line interface (gh cli)

gh repo clone softloud/sperm

The raw data are preloaded in the packaged analysis which can be accessed by installing the sperm:: package:

# install.packages("devtools")
devtools::install_github("softloud/sperm")

sperm:: is created using targets:: so that each step in the analysis can be accessed.

install.packages("targets")

sperm::'s analysis pipeline can be viewed:

tar_glimpse()

sperm:: uses the renv:: package to snapshot the versions of packages used to ensure reproducibility, run this command to load the required packages after opening the R project.

renv::restore()

Raw data

The raw data was last downloaded:

here::here("data", "count_obs.rda") %>%
  file.info() %>%
  pull(ctime)

There are four raw datasets preloaded in sperm:: package: count_obs, morphology_obs, motility_obs, and volumne_obs scraped from the googlesheet.