knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of FinalProjectYin is to make the data analysis of electrophysiology data from an experiment in my lab easier and faster.
You can install the released version of FinalProjectYin from CRAN with:
install.packages("FinalProjectYin")
And the development version from GitHub with:https://github.com/yuexyin/FinalProject_Yin
# install.packages("devtools") devtools::install_github("yuexyin/FinalProject_Yin")
This is a basic example which shows you how to solve a common problem:
library(FinalProjectYin) library(dplyr) library(knitr) library(kableExtra) library(flextable) library(ggplot2) library(ggpubr)
ephys <- read.csv("Ephys_Yin.csv", header = TRUE)
head(ephys1 <- ephysfilter(ephys))
StatsTable(ephys1, "alcohol", "water", "Cell.ID", "Voltage.threshold.mV")
threshttest("Voltage.threshold.mV", ephys1)
What is special about using README.Rmd
instead of just README.md
? You can include R chunks like so:
You'll still need to render README.Rmd
regularly, to keep README.md
up-to-date.
You can also embed plots, for example:
In that case, don't forget to commit and push the resulting figure files, so they display on GitHub!
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.