install.packages("plyr")
install.packages("dplyr")
install.packages("ggplot2")
install.packages("RColorBrewer")
install.packages("ggpubr")
install.packages("wesanderson")
install.packages("ggsignif")
install.packages("tidyverse")
install.packages("scales")
install.packages("tidyr")
install.packages("tibble")
install.packages("openxlsx")
install.packages("ggplot2")
install.packages("ggpubr")
install.packages("survminer")
install.packages("survival")
install.packages("Rcpp")
install.packages("broom")
library(plyr)
library(dplyr)
library(ggplot2)
library(RColorBrewer)
library(ggpubr)
library(wesanderson)
library(ggsignif)
library(tidyverse)
library(scales)
library(tidyr)
library(tibble)
library(openxlsx)
library(ggplot2)
library(ggpubr)
library(survminer)
library(survival)
library(Rcpp)
library(broom)
#change to the main folder containing your three folders: input, output, and R code
base_directory <- "C:/Users/Angela/Desktop/cox regression datasheets/PQ Assays Cox Regression/Cox regression VDAC PQ rep 1"
setwd(base_directory)
rcode_folder <- paste(base_directory, "R code", sep = "/")
input_folder <- paste(base_directory, "input", sep = "/")
output_folder <- paste(base_directory, "output", sep = "/")
data = read.csv(paste(input_folder, "cox regression EV VDAC PQ assay rep 1.csv", sep = "/"), header = TRUE, sep = ',')
install.packages("plyr")
install.packages("dplyr")
install.packages("ggplot2")
install.packages("RColorBrewer")
install.packages("ggpubr")
install.packages("wesanderson")
install.packages("ggsignif")
install.packages("tidyverse")
install.packages("scales")
install.packages("tidyr")
install.packages("tibble")
install.packages("openxlsx")
install.packages("ggplot2")
install.packages("ggpubr")
install.packages("survminer")
install.packages("survival")
install.packages("Rcpp")
install.packages("broom")
install.packages("rtools")
