library(knitr) # enables knit output formatting
  opts_chunk$set(fig.align="center", fig.height=3, fig.width=4) # format knit output
library(tidyverse) # contains ggplot2, dplyr, tidyr, readr, stringr, etc
  theme_set(theme_bw(base_size = 12)) # set default plot theme for ggplot2
library(ggrepel) # enables dynamic plot labeling

## Warning: package 'ggrepel' was built under R version 4.0.5

library(ggthemes) # enables colorblind-friendly color palette
library(scales) # imports function show_col() for displaying color palettes
library(janitor) # imports function clean_names() for auto-formatting bad column names

## Warning: package 'janitor' was built under R version 4.0.5

# custom qualitative color palettes
palette_pretty <- c("#009E24", "#0072B2","#E69F00", "#FF0000",
                    "#979797", "#5530AA", "#1E1E1E")
palette_colorblind <- c("#E69F00", "#56B4E9", "#009E73","#F0E442", 
                        "#0072B2", "#D55E00", "#CC79A7", "#999999")
palette_cb_ext <- c("#ebac23", "#b80058",  "#008cf9", "#006e00", "#00bbad",
                    "#d163e6", "#b24502", "#ff9287", "#5954d6", "#00c6f8",
                    "#878500", "#00a76c", "#979797", "#1e1e1e")
palette_npg <- c("#E64B35", "#4DBBD5", "#00A087", "#3C5488",
                 "#F39B7F", "#8491B4", "#91D1C2", "#DC0000",
                 "#7E6148", "#B09C85")

par(mfrow=c(2,2)) # output color previews on 2 lines
show_col(palette_pretty) # pretty palette
show_col(palette_colorblind) # colorblind-friendly palette
show_col(palette_cb_ext) # extended colorblind-friendly palette
show_col(palette_npg) # nature publishing group palette

Main project title

Subtitle

Start Date - End Date

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This document contains research notes and code generated by:

Rachael M. Cox
Biochemistry PhD Candidate
University of Texas at Austin
rachaelcox@utexas.edu

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Project task 1

Project subtask 1.1

Date

Some notes (e.g.: experiment information, important directories, paths to raw data, what previous steps may have been run with other scripts or software, links to important websites or literature)

# R code

# R code

Project subtask 1.2

Date

Some notes (e.g.: experiment information, important directories, paths to raw data, what previous steps may have been run with other scripts or software, links to important websites or literature)

# R code

# R code

Project task 2

Project subtask 2.1

Date

Some notes (e.g.: experiment information, important directories, paths to raw data, what previous steps may have been run with other scripts or software, links to important websites or literature)

# R code

# R code

Project subtask 2.2

Date

Some notes (e.g.: experiment information, important directories, paths to raw data, what previous steps may have been run with other scripts or software, links to important websites or literature)

# R code

# R code

Archived code

Debugging

# Code generated from debugging

Failed strategies

# Code and/or pipelines that didn't work & why