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:
ephys <- read.csv("Ephys_Yin.csv", header = TRUE)
head(ephys1 <- ephysfilter(ephys))
#> Cell.ID Animal.ID Treatment y.frac z.plane Start.Resistance End.Resistance
#> 1 yy0047 817145 alcohol 0.565 42 19 19
#> 2 yy0049 817150 water 0.448 45 24 24
#> 3 yy0050 817150 water 0.463 45 15 14
#> 4 yy0051 817150 water 0.434 45 13 13
#> 5 yy0052 817150 water 0.507 43 20 23
#> 6 yy0053 817150 water 0.500 43 20 21
#> Resistance.difference Voltage.threshold.mV Current.Threshold..pA.
#> 1 0.00000000 -42.1602 100
#> 2 0.00000000 -38.6890 100
#> 3 0.06666667 -37.2443 100
#> 4 0.00000000 -33.9185 250
#> 5 0.15000000 -32.0884 100
#> 6 0.05000000 -35.3299 100
StatsTable(ephys1, "alcohol", "water", "Cell.ID", "Voltage.threshold.mV")
#> Mean STD
#> Group1stats -43.04866 4.489839
#> Group2stats -37.76110 3.986581
threshttest("Voltage.threshold.mV", ephys1)
#> [1] 0.01275359
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.